Sci, Volume 7, Issue 2 (June 2025) – 49 articles

The study of non-phase modulation of different frequencies in the human electroencephalography (EEG) is revealing new mechanisms involved in information processing. In particular, it has been described that the alpha band, through a desynchronization of its non-phase component, could represent a mechanism for sensory gain in visual stimulus processing. One key question to address is whether this activity can be modulated (increased) by the recall of a previously memorized stimulus. The objective of this study is to answer this question by recording EEG activity with 58 electrodes and applying time-frequency analysis techniques (Temporal Spectral Evolution and the Hilbert Transform) in a sample of 27 human participants during a word recall task. The results of the study showed an increase in alpha phase modulation for recalled words compared to not recalled words, which included modulation of the P1 component. Additionally, alpha non-phase modulation also increased for recalled words, suggesting that the enhanced P1 component response could, in fact, be an indirect result of the attenuation of background neural noise, as proposed by the sensory gain hypothesis. Full article

Introduction: Surgical resection is the most effective therapy for patients with early non-small cell lung cancer (NSCLC). Impact on quality of life (QoL) includes a period until return to work, perioperative complications and development of physical sequelae. Lobectomy is the standard procedure. However, sublobar resections have shown similar oncological outcomes preserving healthy parenchyma. We analyze if sublobar resection is associated wiht less deterioration of QoL. Methods: We performed a retrospective analysis of patients undergoing surgical resection for NSCLC between 2017 and 2019. Cases were classified according to type of resection (sublobar vs lobectomies, bilobectomies and pneumonectomies). A survey with questions related to outcomes and QoL and occupational issues was performed. Results: A total of 169 answered the survey and were followed for 36 months. Segmentectomy was performed in 69 patients (40.9%). Lobectomy was the main type of resection (56.2%). Fatigue during walking was less common in patients undergoing sublobar resections (55.1% vs 72.7%; p = 0.02). No other differences were detected in temrs of QoL between both groups. Changes in familiar relationship after surgery were higher in patients under 70 years old. Most patients had not resume their work activities at the time of consultation. Conclusion: Feeling of fatigue while walking was lower in patients undergoing sublobar resections. Changes in familiar relationship were higher in younger patients. QoL was similar in both groups. Full article

Submarines are required to have good performance, which is influenced by their type of hull, hull conditions, and operational conditions. This study compares the resistance between a Modified-U209 (U209) submarine and the DARPA Suboff. The former is an older hull geometry with both surface and submerged operation considered, whereas the latter represents a modern nuclear-powered submarine designed for submerged operations only. The two geometries were scaled to give the same usable volume, and all results were non-dimensionalized using this to ensure consistency. A Computational Fluid Dynamics (CFD) method was utilized to predict resistance by employing the Reynolds-averaged Navier–Stokes (RANS) equations. The results show that the total resistance coefficient for the U209 bare hull is approximately 6% higher than the Suboff bare hull. When a casing was added to the U209 geometry the increase in total resistance coefficient was approximately 8%. The addition of the sail resulted in an increase in total resistance coefficient ranging from approximately 4% (Suboff sail added to U209) to approximately 14% (U209 sail added to U209). An existing empirical prediction technique was used to predict the resistance, with the total resistance coefficient predicted being consistently about 5% lower than the values obtained using CFD. Full article

Cryofibrinogenemia (CF) may be secondary to COVID-19. To establish this relationship, in PRECOVID-19 and COVID-19 periods we assess: (a) frequency and clinical features in patients with CF; (b) study of CF syndrome. We study all cryofibrinogen tests performed in a single university hospital in Northern Spain, comparing two periods: PRECOVID-19 (July 2017–February 2020) and COVID-19 (March 2020–October 2022). CF syndrome was established with two positive cryofibrinogen tests plus compatible cutaneous manifestations and/or thrombotic events (TE). CF was found in 129/279 patients. In the COVID-19 period, they had more positive tests (50.2% vs. 28%; p = 0.0047), younger age (33 vs. 55 years, p = 0.054) and fewer cardiovascular (CV) risk factors (39.1% vs. 78.6%, p = 0.005). Cutaneous manifestations were the most frequent in both periods (81.4%), particularly purpuric macules (29.5%). Skin ulcers showed statistically significant differences, being more frequent in the PRECOVID-19 era (35.7% vs. 7.8%, p = 0.008). Thrombotic CV events were also observed (13.2%), particularly venous thromboembolisms (12.2%). Severe complications were more frequent in the PRECOVID-19 era, although this difference did not reach statistical significance (35.7% vs. 19.1%; p = 0.169). CF was secondary in 68/129 cases, mainly to SARS-CoV-2 (n = 45). CF syndrome was found in 27.9% of patients. After one year, most patients were clinically stable or in remission. Mild dermatological lesions were the most frequent manifestations, and most patients recovered. Full article

This paper introduces a novel fractional-order fuzzy logic controller (FOFLC) designed for stator voltage control in standalone doubly fed induction generator (DFIG) systems used in wind energy applications. Unlike traditional fuzzy logic controllers (FLCs), which are limited by integer-order dynamics, the FOFLC leverages the advanced principles of fractional-order (FO) calculus. By integrating fuzzy logic with fractional-order operators, the FOFLC enhances system precision, adaptability, and interpretability while addressing the inherent limitations of conventional proportional-integral (PI) controllers and integer-order FLCs. A key innovation of the FOFLC is its dual-mode architecture, enabling it to operate seamlessly as either a traditional FLC or a fractional-order FOFLC controller. This versatility allows for independent tuning of fractional parameters, optimizing the system’s response to transients, steady-state errors, and disturbances. The controller’s flexibility makes it particularly well-suited for nonlinear and dynamically complex stand-alone renewable energy systems. The FOFLC is experimentally validated on a 3-kW DFIG test bench using the dSPACE-1104 platform under various operating conditions. Compared to a conventional PI controller, the FOFLC demonstrated superior performance, achieving 80% reduction in response time, eliminating voltage overshoot and undershoot, reducing stator power and torque ripples by over 46%, and decreasing total harmonic distortion (THD) of both stator voltage and current by more than 50%. These results confirm the FOFLC’s potential as a robust and adaptive control solution for stand-alone renewable energy systems, ensuring high-quality power output and reliable operation. Full article

Surgical errors involving paired organs can have severe consequences, particularly in procedures where laterality is a critical factor. Wrong-site surgeries indicate failures in risk management and patient safety protocols, requiring continuous improvements in preventive strategies. In ophthalmology, where precision is essential, the adoption of structured approaches has significantly reduced the incidence of such errors. The Universal Protocol, introduced in 2004 by the Joint Commission on Accreditation of Healthcare Organizations (JCAHO), has defined standardized procedures to prevent these events and has subsequently been adapted to ophthalmic surgery by specialized scientific societies such as the American Academy of Ophthalmology (AAO). Additionally, multidisciplinary interventions, including AI-assisted verification systems, human factors analysis, and enhanced surgical checklists, continue to strengthen error prevention. This review examines the implementation and development of these strategies in ophthalmic surgery, evaluating their effectiveness and identifying persistent challenges in surgical safety Full article

The application of double-layer shell structure is very common in some situations that require complex loads and vibrations, such as key components such as the shell and wings of aerospace engines, and the shell of underwater vehicles. Many authors have conducted research on the vibration and acoustic radiation characteristics of double-layer cylindrical shells. By adding reinforcement and ribs between the double-layer cylindrical shells and optimizing structural design, passive vibration control techniques can effectively solve high frequency vibration problems, but the impact on mid to low frequency vibrations is still limited. Therefore, this article conducts theoretical research on a novel active vibration control method that inserts an active actuator between a double-layer cylindrical shell to achieve better mid low frequency vibration control effects. Firstly, the substructure admittance method is applied to analytically and dynamically model a double-layer cylindrical thin shell structure with active support, and the vibration power flow of the system is theoretically derived to evaluate the vibration reduction effect. Then, numerical simulation analysis was conducted on the influence of different configurations of six feedback control parameters, time delays, and other factors on the vibration power flow. Finally, based on the image, the conclusion is drawn that all six feedback control parameters can improve the vibration control effect of the coupled system to a certain extent, but not every feedback control parameter has a prominent effect, and the effective range of some parameters is relatively narrow. Full article

Cannabis sativa L. has been traditionally used for its therapeutic properties, particularly in treating various skin conditions. This study explores the in vitro anti-aging potential of five distinct parts of C. sativa L. (inflorescence, seed, leaf, stem, and root) by analyzing their bioactive compounds and biological activities. Ultrasound-assisted extraction was employed using ethyl acetate as an extracting solvent, followed by chemical characterization via gas chromatography-mass spectrometry (GC-MS/MS) and liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS/MS) analyses. The biological assessment included antioxidant, anti-inflammatory, anti-tyrosinase activities, and cytotoxicity evaluations. The inflorescence extract demonstrated the antioxidant activity, with a half-maximal inhibitory concentration (IC₅₀) value of 3,849.01 ± 5.25 µg/mL against DPPH radicals and 31.19 ± 0.96% inhibition of NO radicals at 1.25 mg/mL. Notably, the stem extract exhibited the highest anti-tyrosinase activity, with an IC₅₀ value of 0.01 ± 0.00 mg/mL, and significantly inhibited 5-lipoxygenase (5-LOX) activity with an IC₅₀ value of <0.024 µg/mL. All extracts showed no cytotoxicity on HaCaT cells at a concentration of 10 µg/mL, indicating their potential safety for dermatological applications. The stem extract was abundant in phytosterols, triterpenoids, diterpenoids, unsaturated fatty acids, and phenolic compounds, which likely contribute to its anti-inflammatory and anti-tyrosinase effects. These findings suggest that the stem, traditionally considered as waste, could be a valuable raw material for developing dermatological treatments with strong anti-inflammatory and skin-brightening effects. Full article

The early and accurate detection of cancer remains a critical challenge in biomedical diagnostics. In this work, we propose and investigate a novel surface plasmon resonance (SPR) biosensor platform based on a multilayer configuration incorporating copper (Cu), silicon nitride (Si₃N₄), and molybdenum disulfide (MoS₂) for the optical detection of various cancer types. Four distinct sensor architectures (Sys₁–Sys₄) were optimized through the systematic tuning of Cu thickness, Si₃N₄ dielectric layer thickness, and the number of MoS₂ monolayers to enhance sensitivity, angular shift, and spectral sharpness. The optimized systems were evaluated using refractive index data corresponding to six cancer types (skin, cervical, blood, adrenal, breast T1, and breast T2), with performance metrics including sensitivity, detection accuracy, quality factor, figure of merit, limit of detection, and comprehensive sensitivity factor. Among the configurations, Sys₃ (BK7–Cu–Si₃N₄–MoS₂) demonstrated the highest sensitivity, reaching 254.64 °/RIU for adrenal cancer, while maintaining a low detection limit and competitive figures of merit. Comparative analysis revealed that the MoS₂-based designs, particularly Sys₃, outperform conventional noble-metal architectures in terms of sensitivity while using earth-abundant, scalable materials. These results confirm the potential of Cu/Si₃N₄/MoS₂-based SPR biosensors as practical and effective tools for label-free cancer diagnosis across multiple malignancy types. Full article

This paper investigates the influence of ventilation conditions, including oxidizer flow speed and oxygen concentration, on major species composition in favor of estimating a risk of flame acceleration at reduced gravity. A two-step chemical reaction for gas phase and a soot formation model based on laminar smoke point are used. To calculate thermal radiation from flame, a discrete-ordinates method is coupled with a non-grey model by taking into account the radiative properties of CO, CO₂, H₂O and soot. The predictions provide further insights into the intimate coupling of fuel types, such as heptane and dodecane, with burning rate, flame structure and toxic emissions as a consequence of changes in ventilation conditions such as oxidizer flow velocity and oxygen concentration. From a boundary-layer microgravity flame, the CO₂ to CO ratio is less than 3, and the unburnt hydrocarbons C_mH_n to CO ratio is less than 2, with a concentration of unburnt fuel that exceeds the Lower Flammability Limit. This finding on the production of unburnt species is contrasted to the case of a buoyancy-controlled flame at Earth gravity. Full article

Antioxidants, such as stilbenes, anthocyanidins, coumarins, tannins and flavonoids, are often based on oxygen-containing redox systems and tend to feature several hydroxyl groups in their chemical structures. From a synthetic perspective, oxygen atoms are prone to bioisosteric replacement with sulfur and, notably, selenium. The main objective of this narrative literature review is to explore if and how bioisosteric substitution of oxygen with sulfur or selenium can enhance the biological activity of natural products. This replacement boosts the biological activity of the resulting molecules considerably as they now combine the redox and antioxidant properties of the original flavonoids and other natural products with the specific redox behavior of sulfur and selenium. Besides sequestering free radicals and peroxides, they may, for instance, also catalyze the removal of oxidative stressors, capture free metal ions and even provide scope for selenium supplementation. Since these molecules resemble their natural counterparts, they also exhibit considerable selectivity inside the body and a good pharmacokinetic profile. Still, the synthesis of such hybrid molecules integrating sulfur and selenium into flavonoids and other natural products is a challenge and requires innovative synthetic strategies and approaches. Full article

This study proposes an optimized energy management strategy for alternating current microgrids, integrating wind generation, battery energy storage systems (BESSs), and distribution static synchronous compensators (D-STATCOMs). The objective is to minimize operational costs, including grid electricity purchases (grid-connected mode), diesel generation costs (islanded mode), and maintenance expenses of distributed energy resources while ensuring voltage limits, maximum line currents, and power balance. A master–slave optimization approach is employed, where the Gray Wolf Optimizer (GWO) determines the optimal dispatch of energy resources, and successive approximations (SAs) perform power flow analysis. The methodology was validated on a 33-node microgrid, considering variable wind generation and demand profiles from a Colombian region under grid-connected and islanded conditions. To assess performance, 100 independent runs per method were conducted, comparing GWO against particle swarm optimization (PSO) and genetic algorithms (GAs). Statistical analysis confirmed that GWO achieved the lowest operational costs (USD 3299.39 in grid-connected mode and USD 11,367.76 in islanded mode), the highest solution stability (0.19% standard deviation), and superior voltage regulation. The results demonstrate that GWO with SA provides the best trade-off between cost efficiency, system stability, and computational performance, making it an optimal approach for microgrid energy management. Full article

The optimal selection of conductors (OCS) in radial distribution networks is a critical aspect of system planning, directly impacting both investment costs and energy losses. This paper proposed a mixed-integer convex (MI-Convex) optimization framework to solve the OCS problem under balanced operating conditions, integrating the costs of conductor investment and energy losses into a single convex objective. This formulation leveraged second-order conic constraints and was solved using a combination of branch-and-bound and interior-point methods. Numerical validations on standard 27-, 33-, and 85-bus test systems confirmed the effectiveness of the proposal. In the 27-bus grid, the MI-Convex approach achieved a total cost of $550,680.25, outperforming or matching the best results reported by state-of-the-art metaheuristic algorithms, including the vortex search algorithm (VSA), Newton’s metaheuristic algorithm (NMA), the generalized normal distribution optimizer (GNDO), and the tabu search algorithm (TSA). The MI-Convex method demonstrated consistent and repeatable results, in contrast to the variability observed in heuristic techniques. Further analyses considering three-period and daily load profiles led to cost reductions of up to 27.6%, and incorporating distributed renewable generation into the 85-bus system achieved a total cost of $705,197.06—approximately 22.97% lower than under peak-load planning. Moreover, the methodology proved computationally efficient, requiring only 1.84 s for the 27-bus and 12.27 s for the peak scenario of the 85-bus. These results demonstrate the superiority of the MI-Convex approach in achieving globally optimal, reproducible, and computationally tractable solutions for cost-effective conductor selection. Full article

mHealth apps can promote behavior change to prevent heart disease. This study examined the efficacy of an 8-week theory-based mHealth intervention to promote heart disease preventive behaviors. The BaseMetrics app was designed using the Health Belief Model to improve users’ understanding of heart disease and its risk factors to promote behavior change. In this proof-of-concept intervention with no control group, twenty-two participants (14F/8M; age 51 ± 8 years) received access to the BaseMetrics app for 8 weeks. Biological, behavioral, and self-assessed heart disease risk and knowledge were measured pre- and post-intervention. At post-intervention, significant improvements were seen in self-reported fruit and vegetable intake (+1.1 servings/day) and skin carotenoids (+28 a.u.). Self-tracked activity decreased (−665 steps/day). No other outcomes were significantly different. Non-significant improvements with small-to-moderate effect sizes were observed in triglycerides, energy expenditure, knowledge, perceived risk, and perceived benefits of diet and exercise. Conversely, non-significant deteriorations with small-to-moderate effect sizes were observed for total cholesterol, LDL, and AST. This study yielded preliminary findings suggesting the benefits of the BaseMetrics mobile app for heart disease prevention. The results must be validated in a larger randomized controlled trial. Full article

Salvia officinalis (common or medicinal sage) is a highly valued member of the genus Salvia. Due to its wide range of applications in various fields, including medicine, pharmacy, cosmetics, and food, S. officinalis is a common target for economic fraud. It is imperative to implement rigorous quality control measures to ensure that fraudulent practices are prevented. Such measures should include fast and simple diagnostic tools that can also be used in the field. The objective of the present study was to ascertain the true plant composition of several Salvia-based products. This was accomplished by using PCR-RFLP and LAMP assays. In both procedures, the chloroplast trnL (UAA)-trnF (GAA) intergenic spacer served as the target analyte. The findings demonstrated the reliability and validity of the two DNA-based methods for the unequivocal identification of S. officinalis as the principal component in various sage products, as well as for the detection of irregularities (mainly the presence of adulterating species) in the production and marketing of some of these products. Nonetheless, the LAMP assay offers a more straightforward, rapid, efficient, and cost-effective approach that facilitates the authentication process for sage. The adoption of this method by quality control laboratories could then ensure safety and protect consumers from potential health risks associated with adulterated sage products. Full article

Luminal B breast cancer (LBBC) represents an aggressive, high-grade ER+ disease, associated with a high proliferation rate, higher mutation burden, and higher probability of eliciting the immune response. Clinical and pathological data from 89 patients of stage II-III, triple-negative (TN), and luminal B-like BC (LB-like BC) were included in the analysis. All patients were submitted to neoadjuvant chemotherapy (NACT). Quantitative and qualitative evaluations of TILs (Tumor-Infiltrating Lymphocytes) were performed on tissue microarrays constructed from pretreatment core-needle biopsy tumor specimens. The proportion of stromal TILs, CD8, CD4, and PD-L1 positive (+) immune cells (IC), as well as the number of FOXP3, CTLA4, and HSP-70+ IC, was observed concerning tumor immunophenotype, traditional clinicopathological prognostic factors, and tumor response to NACT. There was no statistically significant difference in the proportion of stromal TILs between the LB-like and TNBC (p = 0.344) cohorts. However, a higher CD4/CD8 ratio was associated with the TNBC biology (p = 0.018) and within the LB-like BC cohort with a high proliferation index and metastatic nodal involvement (p = 0.045, p = 0.015). Within the LB-like BC cohort, a higher expression of PD-L1 and HSP70+ IC was associated with a high proliferation index of tumor cells (p = 0.018, p = 0.040), massive metastatic nodal involvement (p = 0.002, p = 0.026), and higher stages of disease (p = 0.004, p = 0.042). Better response to NACT was associated with higher numbers of HSP70+ IC and higher proportions of CD8+ cells within the LB-like BC cohort (p = 0.045, p = 0.012). Routine evaluation of immune markers and HSP70 may help identify high-risk patients of LB-like breast cancer who would have a better response to NACT. Full article

The Fourth Industrial Revolution is transforming global industries. However, Latin America faces significant challenges in adopting these technologies. Particularly, small- and medium-sized enterprises constitute the backbone of the economy in the region. This study analyzes the technological gap between Latin America and more developed regions, focusing on public policies, infrastructure, and gap-closing training. Based on a systematic literature review and secondary data analysis, this research highlights key indicators such as digital infrastructure, investment in research and development, and the effectiveness of government strategies in promoting Industry 4.0 and Industry 5.0. Results reveal that Latin America lags behind Europe and Asia in applications related to Internet of Things, cloud infrastructure, and artificial intelligence. However, there are opportunities for improvement through targeted public policies, increased investment in research and development, and enhanced collaboration between the public and private sectors. The study concludes that bridging the digital divide requires a holistic approach that includes improving infrastructure, fostering digital skills, and creating favorable regulatory environments. This research stands out from similar studies by providing a detailed analysis of the regional barriers to adopting Industry 4.0 and Industry 5.0 and offering concrete recommendations for policymakers. Full article

Upadacitinib has demonstrated efficacy in psoriatic arthritis in clinical trials, but its real-world performance in difficult-to-treat PsA remains underexplored. This observational, multicenter, open-label study evaluated the efficacy and safety of upadacitinib in 134 patients with psoriatic arthritis (97 women, mean age 51.8 ± 11.2 years, mean disease duration 9.94 ± 7.72 years) who showed inadequate response to advanced therapies. Most patients (74.6%) had received at least two biological/targeted synthetic disease-modifying antirheumatic drugs with different mechanisms of action. Upadacitinib was initiated at 15 mg daily, and within one month, significant improvements were observed: DAS28-ESR decreased from 4.7 to 3.77 (p < 0.001), DAPSA from 25 to 17 (p < 0.001), and CRP from 2.90 to 1.50 mg/L (p = 0.001). These reductions persisted throughout the study. Prednisone dosage decreased significantly (p = 0.049). Adverse events led to upadacitinib discontinuation in 8.2% of patients, but no serious adverse events were reported. Compared to the SELECT-PsA 2 trial, our cohort had a higher proportion of females and greater prior exposure to biologic agents but showed comparable efficacy and safety outcomes. These findings suggest that upadacitinib is a rapid, effective, and relatively safe therapeutic option for difficult-to-treat psoriatic arthritis under real-world conditions, supporting its use despite differing patient characteristics from clinical trial populations. Full article

Thyroid disease is a health concern related to the thyroid gland, which is vital for controlling the metabolism of the human body. Predominantly affecting women in their fourth or fifth decades of life, thyroid disease can result in physical and mental issues. This research focuses on improving the diagnostic process by creating a classification model that utilises various machine learning models and a deeplearning model to categorise three types of thyroid disease conditions. This research developed an automated system capable of classifying three thyroid conditions using five machine learning models and a deep learning model. Resampling techniques, such as SMOTE oversampling and Random undersampling, are utilised to correct the issue of class imbalance in the dataset. Finally, a web-based application is developed utilising the most effective model, GBC, which facilitates easy classification of thyroid diseases. The experimental analysis showed that the Gradient Boosting Classifier (GBC), using oversampling techniques, achieved the highest level of performance in classifying thyroid diseases, obtaining an accuracy and F1-Score of 99.76%. This study demonstrated that TSH was the most indicative biomarker for thyroid disease classification. The experimental results proved that the Gradient Boosting Classifier (GBC) utilising the oversampling technique achieved a superior performance compared to other classifier models, with an accuracy and F1-Score of 99.76%. This research presented insights that can assist healthcare practitioners in promptly diagnosing thyroid diseases. Full article

Fossil fuels remain essential to the world’s energy supply, but the decline in the quality of the oil extracted has increased the relevance of processes such as hydrocracking. Despite its potential, this process involves high energy consumption. In order to assess its efficiency, an exergy analysis of a conventional hydrocracking unit was carried out using Computer Aided Process Engineering (CAPE) tools. After simulations, the physical and chemical exergies of the input and output streams were calculated, which showed a remarkable energy efficiency of 98.76%, attributable to the high exergy content of the products obtained (171,243,917.70 MJ/h) compared to the residues generated (1,065,290.8 MJ/h). The most significant irreversibilities were found in the Recycle Gas Sweetening stage, while the lowest exergy efficiency, 87.16%, was observed in the Residual Gas Sweetening phase. By valorizing the waste, the overall efficiency of the process increased to 99.26%, which allowed for a 40% reduction in the total irreversibilities. Optimization of the stages with the highest unavoidable losses and better energy integration of the process are suggested to maximize its performance. Full article

Background: This study aims to investigate the biomechanical characteristics of orthodontic miniscrews manufactured for use in infrazygomatic crests. Methods: This study analyzed the Zygomatic Spider Screw (HDC, Thiene, Italy), considering four variables: length, insertion angle, insertion depth, support thickness. Twenty-two configurations were tested on 66 miniscrews, all with a diameter of 2 mm, and were inserted into D1 bone-like supports. After compression tests, the deformation angles and linear distances between the tips of the miniscrews were measured. Results: Power analysis showed 99% power for the deformation angles and linear distance. The ICC indicated the good repeatability of the results, with values above 0.70. The mean maximum load values ranged from 21.5 N to 228.8 N, while the mean deformations ranged from 0.45 mm to 2.26 mm. Miniscrews with greater insertion depths (6 and 8 mm) exhibited approximately twice the average deformation (1.5 mm) compared to those inserted at 2 and 4 mm (0.71 mm). It was noted that miniscrews with higher deformation and a lower applied load were those with a working part length of 10 mm and an insertion depth of 2 mm, while those with lower deformation and a better load-bearing capacity were those with a working part length of 6 mm that were fully inserted into the bone support. Conclusions: The miniscrew design and insertion depth significantly affect biomechanical properties. It is advisable to maximize the insertion depth and minimize the distance between the support and the point of force application. The insertion angle did not prove to be a determining factor in the load. Full article

Digital electrical substations (DESs) represent a significant development for the electrical industry. New communication technologies and architectures have emerged alongside the development of DESs. This paper presents an analysis of typical communication architectures used in DESs. In addition, some optimization alternatives are identified, assessing the possible impacts on companies. Experimental tests were conducted in a laboratory to support the analysis performed in this research. Finally, some emerging topics and technologies supporting infrastructure optimization and technological adaptability are included. This study has revealed various impacts that companies must consider to effectively incorporate these architectures into the design and implementation processes of DESs. Finally, effective cybersecurity and access control policies should be implemented across all components of a DES to ensure successful implementations. Full article

Seagrass ecosystems support complex biological interactions that shape marine community structure and ecosystem functioning. Thanks to their structural complexity, they support heterogeneous communities and interact with associated benthic invertebrates and fish populations, establishing complex relationships that influence the performance and fitness of the involved organisms. This study, through a systematic review, investigated the existing potential biotic interactions between seagrasses and epibionts–epiphytes on a global scale. We created a complex search string and ran it in the online databases Scopus and Web of Science, yielding a total of 62 final outcomes spanning from 1984 to 2024. Our results revealed both positive and negative effects of different biotic interactions among these habitat formers and their associated symbionts. The review showed that the most studied interactions referred to Posidonia oceanica (Delile, 1813) L. and Zostera marina (Linnaeus, 1753), which provide refuge and habitat to different epiphytes and epibionts. The reviewed studies highlighted the importance of epiphytes, their potential role in seagrass growth, nutrient dynamics, and their implications for light absorption, while epibionts enhance canopy structure and can protect seagrasses from predation, but potential drawbacks remain poorly understood. Understanding and preserving these intricate biotic interactions is critical to ensuring the long-term functionality and resilience of seagrass ecosystems in a continuously changing environment. Full article

The Wnt signalling pathway plays a crucial role in tissue homeostasis and cancer biology due to its regulation of cellular processes, including proliferation, migration, and stem cell activity. Frizzled receptor 7 (FZD7) (a member of the F-class G protein-coupled receptors) has emerged as a key Wnt receptor within this pathway, which is elevated in several human malignancies. FZD7 is notably upregulated in gastrointestinal, breast, pancreatic, and hepatocellular carcinomas and transmits oncogenic Wnt signalling through canonical and non-canonical pathways. FZD7 promotes tumour initiation, and emerging evidence implicates FZD7 in cancer stem cell maintenance and epithelial–mesenchymal transition (EMT), reinforcing its role in metastasis. Therapeutic strategies targeting FZD7 have shown promise, including FZD7-specific monoclonal antibody-drug conjugates (ADCs), human single-chain fragment variable (scFVs) antibodies, and nanoparticles. Notably, our recent development of FZD7-ADC has demonstrated tumour-selective cytotoxicity with reduced off-target effects, positioning FZD7 as an attractive therapeutic target. Additionally, nanoparticle-based drug delivery systems have enhanced the precision of existing chemotherapies by targeting FZD7-expressing tumour cells. Despite significant advances, clinical translation remains a challenge due to potential on-target toxicity and the complexity of tumour microenvironments. Future research should focus on optimising delivery systems, refining antibody specificity, and conducting comprehensive preclinical and clinical trials. This review will focus on novel discoveries regarding FZD7 in cancer and provide an update on our original review on this subject in 2016. Additionally, we present new figures generated by our group using the publicly available Pan-Cancer Atlas RNAseq datasets, highlighting FZD7 expression patterns in patient samples. This integrated approach aims to provide updated insights into the function of FZD7 during cancer and its growing status as an attractive target for therapy. In summary, FZD7 stands out as a promising molecular target in cancer therapy due to its selective overexpression in tumours, functional role in Wnt-driven oncogenesis, and potential for innovative therapeutic applications. This review underscores the critical need for the continued exploration of FZD7-targeted therapies to improve patient outcomes in cancer treatment. Full article

Individuals diagnosed with ADHD are at a heightened risk of antisocial behaviors, substance abuse, emotional distress, and diminished happiness. Identifying protective factors that reduce the likelihood of these functional impairments in ADHD is vital. Research has shown that a strong sense of coherence (SOC) can serve as a protective factor against various risks and health issues. Therefore, investigating the relationship between SOC and functioning among adults and adolescents with ADHD is essential. A study involving 468 participants aged 15–50 who had reported being diagnosed with ADHD was conducted and analyzed by structural equation modeling. Individuals who reported higher SOC levels also reported lower levels of functional impairment across all domains. This association remained fairly consistent across gender and age groups. The results suggest that SOC is associated with reduced functional impairments in individuals with ADHD. Recognizing this association can aid in identifying those at higher risk within the ADHD population. Further research is warranted to test the causal relationship between SOC and functional impairment and explore potential therapeutic approaches to bolster SOC in individuals with ADHD. Full article

This study evaluated the nephroprotective potential of dapagliflozin and silymarin, alone and in combination, against cisplatin-induced kidney damage in female Wistar rats. Cisplatin was administered at 3 mg/kg weekly to all groups except the normal controls, with treatments of silymarin (50 mg/kg/day), dapagliflozin (0.9 mg/kg/day), or both for 45 days. Dapagliflozin significantly reduced uric acid, the urea-to-creatinine ratio, and serum urea levels compared to nephrotoxic controls, while combination therapy showed further improvements. Both agents decreased inflammatory markers like TNF-alpha, IL-6, and IL-1 beta, with enhanced effects in combination. Oxidative stress markers, including nitrite and 4-HNE, were lowered, and antioxidant enzyme activities (catalase, SOD, and GSH-Px) were increased by dapagliflozin and silymarin, with the combined treatment yielding the most substantial improvements. Molecular analysis revealed elevated Nrf2 and HO-1 levels, which are critical for oxidative stress mitigation, particularly with combination therapy. Histologically, combination therapy preserved renal structure, closely resembling normal controls, while dapagliflozin and silymarin alone showed moderate inflammation and structural alterations. These findings highlight the effect of dapagliflozin and silymarin, especially in combination, to mitigate cisplatin-induced nephrotoxicity by reducing oxidative stress, inflammation, and apoptosis via modulation of the Nrf2/HO-1 pathway. Full article

Background: Previous research has examined the acute effects of high-intensity exercise on muscle contractility, revealing potential interference in reaching peak contraction. This study aims to evaluate the impact of a standardized kettlebell swing protocol on low back musculature contractility, measured by tensiomyography (TMG), and pain sensitivity, measured by pressure algometry. Methods: Forty participants were randomly assigned to one of three groups: control, kettlebell swing, and kettlebell isometric hold. Pre-intervention TMG and pressure pain threshold (PPT) measurements were taken, followed by the intervention and post-intervention measurements. Results: Participants averaged 23.85 years (SD ± 2.73), 162.39 lbs (SD ± 28.69), and 174.29 cm (SD ± 12.45). Baseline ANOVAs showed no significant differences between groups for pre-intervention DM or PPT measurements, nor for demographics (p > 0.05). Although no significant within-group differences in TMG measurements were observed, the kettlebell swing group showed small mean differences in muscle displacement and contraction time for the gluteus maximus with effect sizes ranging from 0.09 to 0.49. Conclusions: The study suggests posterior chain muscles, such as the gluteus maximus, are involved in kettlebell swings. Also, despite the lack of significant TMG differences within groups, the kettlebell swing group exhibited small changes in muscle characteristics, enhancing the understanding of exercise-induced hypoalgesia and posterior chain involvement in resistance exercises. Full article

Agriculture is an anthropic activity with a significant impact on the environment and biodiversity. Hence, the conservation and proper management of wildlife inhabiting agricultural areas is crucial to ensure both food production sustainability and biodiversity preservation. The presence and distribution of the Eurasian Blackcap (Sylvia atricapilla) was evaluated in different crops during winter and the influence of vegetation structure and altitude on its abundance was analyzed. It was hypothesized that the presence and abundance of the species would be influenced by vegetation structure and altitude. Sampling was conducted in 60 agricultural plots differentiating homogeneous and heterogeneous crops. Warblers were recorded by sight and hearing along 1 km transects. The effect of vegetation structure on the warbler abundance was analyzed by carrying out ANOVAs and Mann–Whitney tests. The Eurasian Blackcap was detected in 75% of the sampled plots. Significant differences in vegetation structure between occupied and unoccupied crops were not found; however, an effect of the altitude of the transects was observed, occupying mostly lower areas. The warbler abundance was not significantly affected by crop type nor sampling year. This study provides valuable information on the ecology and distribution of the Eurasian Blackcap in agricultural crops, enriching the knowledge on how to establish the sustainable management of croplands and ensure the conservation and proper management of the species in agricultural areas. Full article

Fluorescent cholesterol probes are indispensable tools for studying membrane structure, dynamics, and trafficking. To better understand the structure–function relationship of fluorescent cholesteryl probes, we developed a series of five new modular naphthalimide-containing cholesteryl probes (CND15–CND19). These probes incorporate an L-lysine linker between the cholesterol moiety and the fluorophore, along with a series of distinct head groups. We conducted extensive biophysical characterizations of these probes, including the determination of their solvatochromic properties and lipid partitioning behavior using giant unilamellar vesicles. Molecular dynamics simulations were employed to identify key molecular interactions of these probes within model lipid membranes. Furthermore, live-cell imaging in 3T3 fibroblasts demonstrated the potential applications of these analogs in live-cell imaging, measuring cellular membrane dynamics and studying cholesterol-related processes. The results of this study underscore the critical role of the linker and head group in designing fluorescent cholesterol-mimicking probes. These findings provide valuable insights into optimizing probe designs for future cholesterol and membrane biology research. Full article

The role of smoking in the development of periodontal disease has been well explored. However, this study aims to explore the relationship between intensity of smoking history and permanent tooth removal. We utilized the 2022 Behavioral Risk Factor Surveillance System (BRFSS), a nationally representative sample of 107,859 US adults, to explore this association. Smoking history intensity was a BRFSS-derived measure of pack-year smoking history. Permanent tooth removal was binarized as the presence or absence of a history of permanent tooth removal. A binary logistic regression was conducted to analyze this association after adjusting for a variety of sociodemographic, health, and substance-use covariates. There was a dose-dependent relationship in which increasing smoking history intensity was associated with increased odds for removal of one or more permanent teeth. For example, those who reported a pack-year history of 30 or more years had a 6.4 times significantly higher odds of reporting a history of permanent tooth removal when compared to those with a 0 pack-year history (adjusted odds ratio = 6.37, 95% CI = 3.80–10.69, p < 0.001). These findings can be used to promote smoking reduction or cessation as a means of decreasing risk of permanent tooth removal due to tooth decay or gum disease. Full article

Action Quality Assessment (AQA)—the task of evaluating how well human actions are performed—is essential in domains such as sports and medicine. Existing AQA methods typically rely on score regression following feature extraction but often neglect the ambiguity inherent in extracted features. In this work, we introduce a novel AQA framework that incorporates a modified attention module to better capture relevant information. Our approach segments video data into clips, extracts features using the I3D network, and applies attention mechanisms to highlight salient features while suppressing irrelevant ones. To assess feature quality, we employ score distribution regression and propose an uncertainty-aware score distribution learning strategy that models features as Gaussian distributions. We further leverage Variational Autoencoders (VAEs) to capture complex latent representations and quantify uncertainty. Extensive experiments on the MTL-AQA and JIGSAWS datasets demonstrate the effectiveness and robustness of our proposed method. Full article

This study investigates the influence of varying nitrogen-to-phosphorus (N:P) ratios on the growth, nutritional composition, and nutrient removal efficiency of Wolffia globosa under controlled laboratory conditions. Six treatments with N:P ratios of 1:3, 1:2, 1:1, 2:1, 3:1, and a control were evaluated. The findings indicate that a balanced N:P ratio (1:1) promotes optimal growth, resulting in the highest biomass yield and specific growth rate (SGR = 0.120 g/day). In contrast, a nitrogen-rich ratio (3:1) enhanced protein accumulation and phosphorus removal, while the 2:1 ratio favored nitrogen uptake. These results reflect underlying physiological responses, including nitrogen assimilation and phosphorus uptake mechanisms regulated by nutrient balance. A trade-off was observed between biomass production and phosphorus removal efficiency, suggesting that different N:P ratios may be suited to specific application goals. This study contributes to a more comprehensive understanding of how macronutrient balance affects growth and metabolism in W. globosa and offers practical implications for optimizing its use as both a sustainable protein source and a biological agent for nutrient remediation in wastewater treatment systems. Full article

Population growth has significantly increased energy and resource demands, driving research toward cost-effective technologies that repurpose waste into alternative energy forms such as biohydrogen. This review aims to comprehensively evaluate biohydrogen production via anaerobic digestion, addressing gaps in previous studies focusing on a single sustainable development goal or limited environmental benefits. The methodology used the Scopus database with specific keywords, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol to screen relevant articles, and bibliometric analysis to delineate research directions from 2002 to 2024. Findings indicate that research on biohydrogen production via anaerobic digestion has grown exponentially over the past two decades, with increasing emphasis on advanced techniques, innovative reactor configurations, and diverse microbial consortia. Emerging trends, including the integration of artificial intelligence for process optimization and comprehensive life cycle assessments, suggest promising avenues for large-scale implementation. Anaerobic digestion-based biohydrogen production supports several Sustainable Development Goals (SDGs), including the ones related to clean energy (SDG7), SDG 13 (climate action), and SDG 12 (waste management), among others. Recent advancements are synthesized to provide a clear roadmap for future research toward sustainable energy solutions. Full article

The Russian Black Pied (RBP) is one of Russia’s most popular dairy cattle breeds. It was developed in the USSR during the 1930s by crossing Russian native cattle with Dutch cattle. Since the mid-1970s, the RBP has been cross-bred with Holstein cattle to enhance milk production. To trace haplotypes and selection signatures in the RBP genomes formed during cross-breeding and selection, we conducted local ancestry inference and scans for selection signatures in 12 resequenced RBP animals. Scans for selection using hapFLK and window-based F_ST identified 65 putatively selected regions across the genome, with 4 identified by both methods. Candidate missense variants were detected within these regions, including KIAA1755, CNBD1, and MPZL3, which may be related to milk traits, pathogen resistance, and climate adaptation. Local ancestry inference and functional annotation analyses suggest that regions with a higher fraction of native haplotypes are enriched for genes associated with keratin filaments, antimicrobial defence, the immune system, protein digestion, and amino acid transporters. The results of our study could be utilised for conservation purposes and the improvement of this and other breeds. Full article

Due to limited fossil resources and climate change, biotechnological processes converting renewable resources into industrial raw materials are increasingly important. Many of these processes require yeast extract for microorganism growth, a high-cost factor. Therefore, the use of inexpensive, protein-rich agricultural raw materials as a source of nutrients is desirable. However, their usage usually results in lower product concentrations and productivity in the fermentation process. This work investigates the nutritional requirements for the production of L-lactic acid using Lactobacillus casei ATCC 393 and 1,3-propanediol using Clostridium butyricum DSM 25047, aiming to replace complex nutrient sources with hydrolyzed protein-rich agricultural raw materials. In the production of 1,3-propanediol, yeast extract was largely (80%) replaced by rapeseed meal hydrolyzate, achieving the same final product concentration and maximum productivity. In the production of L-lactic acid, rapeseed meal hydrolyzate supplemented with B vitamins, mineral salts, cysteine, and tryptophan replaced yeast and meat extracts, achieving the same final product concentration with comparable maximum productivity. Full article

Radiotherapy is one of the major cancer treatments that uses controlled doses of ionizing radiation to damage tumor cells. The monitoring of charged particles within a medium is of tremendous importance in radiotherapy. Monte Carlo methods can be used to estimate radiation profiles; however, despite their effectiveness, they are computationally expensive, which limits their practicality. To simplify the analysis, approximate analytical methods focused on estimating the range of charged particles and their velocity function within a medium have been previously derived. Previous solutions include non-elementary functions, such as the exponential integral function with relativistic coordinate transformations, or the use of regular perturbation methods accounting for small relativistic effects. In this paper, a much simpler approach is presented to assist practitioners in the field of radiotherapy. Using the proposed method, the particles’ range and velocities are calculated exclusively with elementary functions. The main advantage of the proposed approach, aside from its straightforward application, is its suitability for relativistic velocities. The equations derived in this paper were successfully tested at the radiotherapy level, accommodating protons with energies of up to 350 MeV. Full article

The process of convergence and the aggregation of polyamide granules and clusters on a water surface has been studied. These granules are widely used to visualize flows on the surface and in the bulk of the water. It is shown that the law of particle motion during convergence corresponds to electrostatic interaction. Like other polymers, polyamide particles are easily charged owing to friction. The quantitative estimation of the surface charge of the granules gives values close to the results of other authors. The range of action of electrostatic forces is fractions of a millimeter, and the maximum velocities of the clusters and granules measured in the experiment do not exceed 1 mm/s when converging. Therefore, when studying flows, electrostatic interaction does not distort the velocity field if the concentration of the granules is low and the velocities of the flows are rather high. Full article

Eye-gaze writing technology holds significant promise but faces several limitations. Existing eye-gaze-based systems often suffer from slow performance, particularly under challenging conditions such as low-light environments, user fatigue, or excessive head movement and blinking. These factors negatively impact the accuracy and reliability of eye-tracking technology, limiting the user’s ability to control the cursor or make selections. To address these challenges and enhance accessibility, we created a comprehensive dataset by integrating multiple publicly available datasets, including the Eyes Dataset, Dataset-Pupil, Pupil Detection Computer Vision Project, Pupils Computer Vision Project, and MPIIGaze dataset. This combined dataset provides diverse training data for eye images under various conditions, including open and closed eyes and diverse lighting environments. Using this dataset, we evaluated the performance of several computer vision algorithms across three key areas. For object detection, we implemented YOLOv8, SSD, and Faster R-CNN. For image segmentation, we employed DeepLab and U-Net. Finally, for self-supervised learning, we utilized the SimCLR algorithm. Our results indicate that the Haar classifier achieves the highest accuracy (0.85) with a model size of 97.358 KB, while YOLOv8 demonstrates competitive accuracy (0.83) alongside an exceptional processing speed and the smallest model size (6.083 KB), making it particularly suitable for cost-effective real-time eye-gaze applications. Full article

Microbial enzymes have revolutionised the textile industry by replacing harmful chemicals with eco-friendly alternatives, enhancing processes such as desizing, scouring, dyeing, finishing, and promoting water conservation while reducing pollution. This review explores the role of enzymes like amylases, pectinases, cellulases, catalases, laccases, and peroxidases in sustainable textile processing, focusing on their ability to mitigate environmental pollution from textile effluents. The review also examines the types and characteristics of hazardous textile waste and evaluates traditional waste treatment methods, highlighting sustainable alternatives such as microbial enzyme treatments for effluent treatment. Recent advancements in recombinant enzyme technology, including enzyme engineering and immobilisation techniques to enhance stability, reusability, and catalytic performance, are also explored. Additionally, the potential of extremozymes in textile processing and effluent treatment is explored, emphasising their stability under harsh industrial conditions. Strategies for reducing textile waste through enzyme-based processes are presented, focusing on principles of the circular economy. The review also addresses challenges such as scalability, cost, and process optimisation, while proposing potential solutions and outlining future directions for the widespread adoption of microbial enzymes in sustainable textile production and waste management. This review underscores the transformative potential of microbial enzymes in achieving greener textile manufacturing practices. Full article

This study investigated the impact of soil properties under greenhouse conditions on the growth and productivity of two chickpea (Cicer arietinum) genotypes (V1 and V2) using two distinct soils collected from Marchouch and Beni Mellal sites. Soil analysis revealed significant differences in organic matter, phosphorus, potassium, and nitrogen levels between the two sites. Marchouch soil, characterized by higher nutrient content, especially phosphorus, demonstrated a more favorable environment for chickpea growth, resulting in enhanced plant height, leaf number, chlorophyll content, seed number, and seed weight. Variety V2 showed slightly better performance than V1 across both soil types, particularly in terms of seed yield and mineral content. This research highlights the importance of soil nutrient availability. Furthermore, this study emphasizes the important role of phosphorus in chickpea growth, with Marchouch soil having a higher phosphorus level (62.9 mg kg⁻¹), significantly boosting plant development and yield. Although soil mineral characteristics and genotypes had little effect on most minerals, zinc (19.77 mg uL⁻¹) and iron (69.43 mg uL⁻¹) levels stood out as significant exceptions. Therefore, further studies should focus on examining additional soil characteristics and expanding genotype selection. Based on the findings, Marchouch soil appears to be more favorable for chickpea cultivation. However, more research is needed on the effect of soil and genotypes on Rhizobium activity. Full article

Estimating the amplitude of a sinewave from a set of data points is a common procedure in various applications. This is typically achieved using a least squares method that provides closed-form estimators. The sampling process itself is often affected by different non-ideal phenomena like additive noise, phase noise, or sampling jitter, for example. Here, the precision of the estimation of a sinewave amplitude when the samples are affected by phase noise or sampling jitter is studied in the case of coherent sampling. The mathematical expression derived is useful in obtaining the confidence intervals for the estimated sinusoidal amplitude. It is also valuable at the time of choosing the proper number of samples to acquire from a signal in order to reach a certain desired level of sinewave amplitude estimation precision. The analytical expression presented is validated using both numerically generated data and experimental data. Various non-ideal factors, such as a fixed, uncontrollable amount of jitter in the setup, additive noise, analog-to-digital converter non-linearity, and limited signal bandwidth, are observed and discussed. Additionally, this work presents an exhaustive overview of the technical aspects involved in the experimental validation, including the implementation of the Monte Carlo type procedure, instrument interface, programming language, and the general development of automated measurement systems, which may be useful to other engineers. Full article

The genus echinacea has attracted attention for its diverse medicinal properties, including its ability to enhance immunity, reduce inflammation, and combat microorganisms. Despite its popularity in herbal medicine, the varying concentrations of active compounds among different echinacea species and products create obstacles for achieving uniform quality and reliable efficacy. This study investigates the genetic and molecular mechanisms responsible for producing key bioactive substances such as alkamides, chicoric acid, and complex carbohydrates, which are essential for echinacea’s therapeutic effects. Furthermore, the research explores recent advancements in plant breeding methodologies, including the use of DNA-based selection techniques and cutting-edge genomic tools like CRISPR-Cas9. These innovative approaches seek to develop echinacea varieties with improved tolerance to environmental challenges, heightened disease resistance, and enhanced production of valuable phytochemicals. Additionally, this review addresses the impact of environmental factors, including abiotic stresses like drought and salinity, on gene expression related to secondary metabolite production. These insights are crucial for optimizing both cultivation practices and breeding programs. The conclusions suggest that integrating traditional breeding methods with modern genomic tools holds great promise for improving the consistency and quality of echinacea products, which is essential for their sustained use in global herbal medicine markets. Full article

A study was conducted in a winery in Puglia on the effect of cooling crushed and destemmed Bombino Nero grapes, comparing two different systems: (1) traditional indirect heat exchange using a water-cooled with a tube-in-tube heat exchanger and (2) a direct refrigeration system with a CO₂ system. The must obtained from crushed grapes cooled with CO₂, compared to that treated with an exchanger, has a lower ethanol content, greater presence of sugars and higher color and tone; these qualitative advantages are due to much faster cooling and deoxygenation, which slowed down the development of indigenous yeasts present on the surface of the grapes and allowed for greater extraction of the anthocyanin components in the must. These qualitative advantages give added value to the wine, justifying higher energy costs. In fact, the test results highlighted limitations associated with higher energy costs for the direct cooling system with CO₂ compared to the traditional one with indirect heat exchange. Energy consumption in the winery is lower for the CO₂ system, but energy and costs for capture, liquefaction and stockage must also be considered. However, from an energy and functional point of view, the potential advantages related to the clarification phase should not be neglected: it could be carried out at higher temperatures than those currently adopted for musts treated with CO_2, limiting the amount of the required CO₂ and consequently the total energy consumption for the whole process. Full article

PVC has become an indispensable material worldwide. However, its production method (suspension) presents significant sustainability challenges, such as negative environmental impacts and high operational costs due to energy consumption. For this reason, a combined analysis was conducted involving energy integration using Aspen Energy Analyzer™ V14 software and a technical process analysis. This methodology aims to reduce industrial utility consumption and assess the sustainability performance of this alternative. The integration through pinch analysis revealed that it is possible to reduce the energy consumption of the process by 29% in heating utilities and 6% in cooling utilities. The minimum utility requirements were 21 GJ/h for heating (down from 29 GJ/h) and 131 GJ/h for cooling (down from 139 GJ/h). This reduction resulted in approximately a 41% decrease in utility costs. Additionally, the reduction in burner energy consumption led to lower greenhouse gas emissions, with a decreased natural gas consumption of approximately 279 m³. However, only two streams could be integrated due to technical process limitations; therefore, it is recommended to explore integrations with complex operations such as reactors and phase-change processes. In addition to this, the WEP technical evaluation yielded promising results showing a decrease in the specific energy intensity by 3219.506 MJ/t (being 4681.8 MJ/t), which represents an economic saving in industrial services (energy purposes) of approximately USD 886.000 per year, satisfying the optimization of the process despite the limitations when integrating it energetically. Finally, a more in-depth analysis should be conducted to further integrate other streams of the process to reduce utilities consumption. Full article

This study presents the first instance of determining environmental uric acid in urban dust using high-performance anion exchange chromatography coupled with electrochemical detection. The optimum chromatographic conditions were identified as a 10 mm × 4.6 mm, 10 µm anion exchange column with a mobile phase of pH 8 50 mM phosphate buffer. Cyclic voltametric investigations over a pH range of 2 to 12 showed that uric acid gave a single diffusion-controlled peak. Hydrodynamic voltametric studies of uric acid using a mobile phase of 50 mM pH 8.0 phosphate buffer over the range 0.0 V to +1.4 V (vs. stainless steel) showed a similar single oxidation wave, which plateaued at potentials more positive than +0.7 V (vs. stainless steel). An applied potential of +0.90 V (vs. stainless steel) was chosen for further investigations, and a linear range of 0.10 to 100 mg/L was obtained, with a detection limit of 0.866 mg/L based on a signal-to-noise ratio of 3. Dust wipe samples were extracted in pH 8, 50 mM phosphate buffer with the aid of sonication. Recoveries of 99.6% (% CV = 4.52%) were achieved for the dust wipe fortified with 16.8 µg of uric acid. Nitrate, nitrite, chloride, acetate, and sulfate ions were found not to interfere. The dust wipe samples were found to have uric acid levels of between 32.6 µg/m² and 3.98 mg/m². Full article

Chronic diarrhoea is a frequent complaint in dogs. Abdominal ultrasonography is frequently utilised in cases of dogs with chronic diarrhoea. The prevalence of neoplasia in dogs with chronic diarrhoea for which ultrasonographic findings are not suggestive of neoplasia has not been reported. This study aimed to list the histologic diagnosis of endoscopic gastroduodenal biopsies in this specific population. The medical records of 115 dogs with chronic diarrhoea for which an abdominal ultrasound was not suggestive of a neoplastic process and had undergone endoscopic biopsies were reviewed. Cases were excluded if an abdominal ultrasound revealed a focal intestinal mass, loss of intestinal wall layering, or a mass lesion in another location. Dogs that had undergone previous treatment with immunosuppressants were also excluded. Histologic findings revealed neoplastic features in 3 out of 115 cases (2.6%) and non-neoplastic conditions in 112 cases (97.4%). In conclusion, the prevalence of neoplastic disease in this population was very low. This is valuable information when considering the diagnostic approach in patients which meet the population criteria and which would historically have had endoscopy and biopsy recommended with the main goal of excluding neoplasia but have moderate–high anaesthetic risk, limited access to endoscopy and/or when financial constraints are present (Figure 1). Full article

The main objectives of this research are, firstly, to determine the state of Autism Spectrum Disorder (ASD) caregivers in objective and subjective burden, psychological distress, and resilience, and, secondly, to assess the role of resilience as a mediator variable that could buffer the effect of objective burden on perceived burden and psychological distress. The method is descriptive, cross-sectional with a sample of 250 family caregivers. Results show that levels of burden were high, with half of the sample presenting psychological distress, and that the resilience level was above that of the general population. Additionally, the relational pattern showed significant positive relationships between burden and psychological distress, but negative relationships between these variables and resilience. Finally, as expected, resilience has worked as a buffer, decreasing the effect of objective burden, measured as hours/day caring, on subjective burden and psychological distress. The direct impact of resilience on burden and psychological distress, two of the more important risk factors for the mental health of ASD caregivers, as highlighted in this study, points to the necessity of implementing intervention or training programs that help caregivers to cope with stressors associated with the daily tasks of caring, to enhance resilience and personal growth out of stressful situations. Full article

Phytophthora capsici is a phytopathogen that affects postharvest bell peppers, as it causes rotting and decreases their commercial value. This study evaluates the efficacy of chitosan as a biocontrol agent against P. capsici on bell peppers using in vitro and in vivo assays. The antifungal activity of chitosan was evaluated at four concentrations (0.5, 1.0, 1.5, and 2.0 g L⁻¹). Its effect on mycelial growth inhibition, sporangial germination, disease incidence and severity, and fruit weight loss was determined. The results show that concentrations of 1.0 g L⁻¹ or higher completely inhibited P. capsici growth and sporangial germination in vitro and reduced disease incidence and severity to 0% in treated fruit. Furthermore, chitosan treatments preserved the fresh and dry weight of the fruit, which prevented postharvest deterioration. This study demonstrates that chitosan is an effective and environmentally friendly alternative for the management of postharvest diseases in bell peppers. This could reduce consumer dependence on synthetic fungicides and preserve fruit quality. Full article

The technological developments in the Internet of Things (IoT), data science, artificial intelligence, wearable sensors, remote monitoring, decision support systems, fog, and edge systems have transformed digital healthcare. Especially after the pandemic, there has been a rapid transformation of healthcare infrastructure from a conventional to a digital approach. Now, specifically, technologies such as the Internet of Things play a vital role in the transformation of the healthcare system. In this paper, an effort has been made to encompass the transformation of healthcare with a focus on the Internet of Medical Things (IoMT). In particular, it provides a detailed overview of the Internet of Medical Things whilst discussing the design goals and challenges, the resource constraints and limitations of the complex healthcare systems. The paper also provides a detailed account of the research initiatives as well as off-the-shelf wireless motes, internet-enabled sensors and open-source platforms. A thorough account of the next-generation digital healthcare technologies and future research opportunities is provided. This work not only covers the state-of-the-art but also offers critical insight into the digital healthcare challenges. The work attempts to summarise the extensive literature in the domain and present a new perspective on the internet of medical things, affiliate technologies and their role in healthcare. Full article