Search Results (81)

NetworkX is a free Python library for graphs and networks and is used in many applications and projects to find the shortest path in path planning scenarios. For dense graphs, the library provides the Floyd–Warshall algorithm for shortest paths and the A* (“A-Star”) algorithm for shortest paths and path lengths. However, several extensions have been proposed to improve the A*, but they are not included in the library. In this context, this paper presents a set of implementations improving the A*, such as the IDA*, D* Lite, SMA*, Bidirectional A* and RTA*. The goal or challenge is to address the limitations of the A* in specific scenarios, such as searching for an optimal path repeatedly or when confronted with memory limitations, as exemplified by the NetworkX library. To do this, we first review the literature of the usage and general application of NetworkX in different domains of applicability and then explore their usage in a shortest path context. By reviewing and validating the usage of A* and extensions in Python using the NetworkX framework, the implementations were submitted to the network environment validation and passed the tests. We have also done the benchmarking of the A*, comparing it with the new ones, and concluded the better efficiency of the A* extensions in tri-objective scenario parameters (length, cost and toll). Despite the extensive utilisation of A* and its notable efficacy in identifying optimal paths, its performance is suboptimal in specific scenarios, such as when confronted with memory constraints and dynamic environments. Almost every algorithm outperformed or matched the A* in the fields that were developed to have an advantage, demonstrating the quality and robustness of the implemented algorithms. As a contribution and to foster further research in this shortest path specific context field, the dataset and Python code of the algorithms are available in a GitHub opensource repository. Full article

Background/Objectives: Doxorubicin (DOX), a widely used anthracycline chemotherapeutic agent, is recognized for its efficacy in treating various malignancies. However, its clinical application is critically limited due to dose-dependent cardiotoxicity, predominantly induced by oxidative stress and compromised antioxidant defenses. Photobiomodulation (PBM), a non-invasive intervention that utilizes low-intensity light, has emerged as a promising therapeutic modality in regenerative medicine, demonstrating benefits such as enhanced tissue repair, reduced inflammation, and protection against oxidative damage. This investigation sought to evaluate the cardioprotective effects of PBM preconditioning in human-induced pluripotent stem cell-derived ventricular cardiomyocytes (hiPSC-vCMs) subjected to DOX-induced toxicity. Methods: Human iPSC-vCMs were allocated into three experimental groups: control cells (untreated), DOX-treated cells (exposed to 2 μM DOX for 24 h), and PBM+DOX-treated cells (preconditioned with PBM, utilizing 660 nm ±10 nm LED light at an intensity of 10 mW/cm² for 500 s, delivering an energy dose of 5 J/cm², followed by DOX exposure). Cell viability assessments were conducted in conjunction with evaluations of oxidative stress markers, including antioxidant enzyme activities and malondialdehyde (MDA) levels. Furthermore, transcriptional profiling of 40 genes implicated in cardiac dysfunction was performed using TaqMan quantitative polymerase chain reaction (qPCR), complemented by analyses of protein expression for markers of cardiac stress, inflammation, and apoptosis. Results: Exposure to DOX markedly reduced the viability of hiPSC-vCMs. The cells exhibited significant alterations in the expression of 32 out of 40 genes (80%) after DOX exposure, reflecting the upregulation of markers associated with apoptosis, inflammation, and adverse cardiac remodeling. PBM preconditioning partially restored the cell viability, modulating the expression of 20 genes (50%), effectively counteracting a substantial proportion of the dysregulation induced by DOX. Notably, PBM enhanced the expression of genes responsible for antioxidant defense, augmented antioxidant enzyme activity, and reduced oxidative stress indicators such as MDA levels. Additional benefits included downregulating stress-related mRNA markers (HSP1A1 and TNC) and apoptotic markers (BAX and TP53). PBM also demonstrated gene reprogramming effects in ventricular cells, encompassing regulatory changes in NPPA, NPPB, and MYH6. PBM reduced the protein expression levels of IL-6, TNF, and apoptotic markers in alignment with their corresponding mRNA expression profiles. Notably, PBM preconditioning showed a diminished expression of BNP, emphasizing its positive impact on mitigating cardiac stress. Conclusions: This study demonstrates that PBM preconditioning is an effective strategy for reducing DOX-induced chemotherapy-related cardiotoxicity by enhancing cell viability and modulating signaling pathways associated with oxidative stress, as well as inflammatory and hypertrophic markers. Full article

This study investigated the effects of Bothrops moojeni (B. moojeni) venom and its high- (HMM) and low-molecular mass (LMM) fractions on human osteoclast (OC) differentiation and function in vitro, aiming to identify novel therapeutics for bone disorders. Venom preparations were applied at 5 µg/mL (crude venom and HMM) or 1 µg/mL (LMM) from day 4 of peripheral blood mononuclear cell (PBMC) differentiation through terminal OC formation, enabling evaluation across early differentiation, fusion, and maturation stages. RNA sequencing revealed 7793 genes common to all experimental groups, with unique gene expression signatures of 149 (control), 221 (HMM), 248 (crude venom), and 60 (LMM) genes, reflecting distinct molecular responses. The negative control PBMC group exhibited 1013 unique genes enriched in immune-related pathways, consistent with their undifferentiated state. Crude venom induced the broadest transcriptional modulation, upregulating key fusion (CD47) and resorption (CTSK) genes, and altering markers of OC differentiation. The HMM fraction predominantly influenced inflammatory and osteoclastogenic pathways, notably TNF and NF-κB signaling, while the LMM fraction selectively regulated fusion-related genes (e.g., CD44) and immune pathways, indicating targeted modulation of OC activity. Cytokine profiling showed that crude venom and HMM suppressed osteoclastogenic cytokines such as IL-1β and IL-6, supporting their potential use in inflammatory bone diseases. Pathway enrichment analyses confirmed these differential effects on immune response and bone resorption mechanisms. Together, these results demonstrate that B. moojeni venom and its fractions differentially impact OC biology, with crude venom exerting broad effects and HMM and LMM fractions offering more specific modulation. Future studies will isolate bioactive components and assess therapeutic efficacy in animal models of osteoporosis and rheumatoid arthritis. Full article

Passiflora cincinnata (Mast), native to the Brazilian semi-arid region, produces exotic fruits even under low water availability. However, its green coloration at ripening complicates optimal harvesting, impacting post-harvest fruit quality. Therefore, this study aimed to evaluate the influence of cultivation systems (irrigated and rainfed) and different ripening stages on the physical and post-harvest characteristics of wild passion fruit during the second production cycle. The experiment was conducted using a randomized block design in a 2 × 4 factorial scheme, corresponding to two cultivation systems (irrigated and rainfed) and four fruit ripening stages (60, 80, 100, and 120 days after anthesis—DAA), with five replications. The fruit pulps were analyzed for physicochemical characterization and bioactive compounds. The physical and chemical characteristics of wild passion fruit were influenced by ripening stages and the irrigation system. The rainfed system decreased the total fruit mass by 15.50% compared to the irrigated cultivation. Additionally, the rainfed cultivation reduced the fruit color index by 14.82% and altered the respiratory pattern, causing a linear decrease of 73.37% in the respiration rate during ripening, in contrast to the behavior observed in the irrigated system, which reached an estimated minimum rate of 33.74 mg CO₂ kg⁻¹ h⁻¹ at 110 days after anthesis. Full article

The COVID-19 pandemic, caused by SARS-CoV-2, has had a profound impact on global health, with nearly 800 million cases reported in the Americas alone. The clinical presentation of the disease is highly variable, with approximately half of all patients experiencing severe symptoms. This variability confounds the complex interplay between immune responses and disease severity. Severe cases are often characterized by elevated levels of inflammatory cytokines. Over 88% of COVID-19 patients have multiple comorbidities; factors such as age and pre-existing conditions further modulate immune responses and contribute to the severity of the disease. While some studies have reported differences in cytokine profiles between severity groups, larger, well-designed cohorts are needed to clarify these relationships. Natural Killer cells, which are critical for the innate immune response against SARS-CoV-2, are often impaired and contribute to immune exhaustion. In addition, SARS-CoV-2 evades innate immune defenses through accessory proteins that inhibit interferon signaling and exacerbate cytokine storms and inflammation. This integrative review aims to synthesize findings from 2020 onward and provide insights into the innate immune responses induced by SARS-CoV-2 and their contributions to disease pathogenesis. Understanding cytokine dynamics, NK cell behaviors, and viral immune evasion strategies is critical for advancing therapeutic approaches. Full article

This study proposes a three-dimensional numerical wave tank (NWT) to calculate wave propagation and hydrodynamic forces based on the Navier–Stokes equation, using commercial Computational Fluid Dynamic (CFD) software ANSYS Fluent. The VOF Method is utilized to identify the free surface. The CFD model employed for generating waves in the NWT is initially verified using analytical theory to evaluate the accuracy of the results. In addition, the User-Defined Function (UDF) in ANSYS Fluent is implemented to ensure the model performs under the oscillatory conditions of the Submerged Horizontal Plate (SHP) Wave Energy Converter (WEC) device, which is localized at the center of the NWT. Finally, the influence of SHP oscillation on the device’s average efficiency was analyzed by comparing seven cases with different geometric configurations, considering both the oscillating and non-oscillating conditions of the SHP under the incidence of different waves. The results indicated that the geometric configuration and wave conditions of Case 4 achieved the best performance, reaching an average efficiency of 35.68%. Full article

The industrial processing of broiler chickens has become increasingly automated to scale up meat production. However, certain procedures may cause rupture of the gastrointestinal tract, contaminating the products. The objective of this study was to evaluate the efficiency of the removal of visible contaminated broiler carcasses from the slaughter line based on their microbiological quality compared to non-contaminated ones. Carcasses were analyzed for Escherichia coli and aerobic mesophilic microorganisms counts, as well as Salmonella spp. detection. Carcasses with gastrointestinal contamination had significantly higher counts of aerobic mesophilic microorganisms and E. coli than those without contamination. However, carcasses without visible contamination also showed high counts of bacteria, indicative of the hygiene and sanitary concerns during slaughter. Salmonella spp. were detected in both types of carcasses, with no significant difference in the frequency of positive samples. The most frequently identified serovar was Salmonella Minnesota. The most frequently detected bacteria were E. coli, Klebsiella pneumoniae, Citrobacter freundii, and Pseudomonas aeruginosa. In conclusion, both contaminated and non-contaminated carcasses exhibited high bacterial counts, including potentially pathogenic microorganisms, highlighting the need for post-evisceration steps to reduce microbial contamination. Full article

Calculating the energy consumption and carbon footprint is essential for maritime industry sustainability, driving informed decisions and innovation. This study assesses the energy consumption and carbon footprint of the Port of Sines in Portugal to support its decarbonization and energy transition, based on the scopes defined by the Greenhouse Gas Protocol. The proposed calculation model is detailed using different data sources for the 2018–2022 period. For each terminal, the monthly and annual energy consumption and carbon footprint are calculated, considering land and maritime activities into the port jurisdiction area. The results show that more than 99% of the port’s total energy consumption and carbon footprint are due to the operations and activities of the different terminals. On average, the Port of Sines consumes 422,378.45 MWh/year and has a carbon footprint of 224.63185 tCO₂eq/year. The analysis reveals a non-linear relationship between energy and carbon footprint, due to the different port activities, emphasizing the need for tailored decarbonization strategies for each terminal. Full article

Secondary metabolites such as flavonoids bring a range of biological properties to natural products, making them potential candidates for the pharmaceutical industry. Piptadenia stipulacea (Benth.) Ducke is well known in Brazil as Jurema Branca, and yet few studies have investigated its biological and phytochemical properties. This study aimed to characterize and evaluate the biological properties of ethanolic extract obtained from the bark of Jurema Branca. Characterization was performed by qualitative phytochemistry, HPLC, and mass spectroscopy. The antibacterial properties were investigated by microdilution method, cytotoxicity by MTT method, biocompatibility testing with human erythrocytes was performed, and antioxidant properties were investigated using DPPH and ABTS radical scavenging. The phytochemical tests demonstrated that rhamnetin and luteolin were the main constituents of the extract. This is the first report of these compounds in this species. The extract presented activity against Staphylococcus aureus (MIC = 500 µg/mL) and demonstrated activity against human colorectal adenocarcinoma (HCT-116), prostate adenocarcinoma (PC-3), and acute myeloid leukemia (HL-60) cell lines with IC₅₀ of 37.96, 37.6, and 27.82 µg/mL, respectively, for this Piptadenia genus. Additionally, the extract presented excellent biocompatibility and antioxidant activity (IC₅₀ = 956.7 and 147.2 µg/mL in DPPH and ABTS methods, respectively). These results are novel for the Piptadenia genus and pave the way for further evaluations regarding the biological importance of this species. Full article

Our study explores the differential effects of Bothrops moojeni venom and its fractions on osteoclast (OC) morphology, function, and osteoclastogenesis. The crude venom and its high-molecular-weight (HMW) fraction disrupt critical OC processes, including F-actin ring formation and mitochondrial distribution, thereby impairing bone resorption. These components primarily target cytoskeletal integrity and transcription regulation, with the OBSCN gene playing a direct role in OC function. In contrast, the low-molecular-weight (LMW) fraction selectively modulates OCs without significant cytoskeletal alterations. It influences vital cellular signaling pathways, notably through FNIP1 and FNIP2, essential for OC differentiation and function. This suggests a more targeted therapeutic approach with potentially fewer off-target effects. The venom also alters cytokine production, increasing IL-6 and IL-10 levels. Elevated IL-6 levels promote osteoclastogenesis and bone resorption, while IL-10 appears to counterbalance these effects through a regulatory feedback mechanism. Secretome analysis reveals that the crude venom and HMW fraction disrupt proteins involved in membrane trafficking and structural integrity. In contrast, the LMW fraction influences matrix remodeling, energy metabolism, and gene regulation. Gene interaction analysis LMW fraction post-treatment identifies FNIP1 and FNIP2 as critical targets involved in osteoclastogenesis. The observed changes in gene expression, including those related to immune response, energy metabolism, and chromatin remodeling, provide insights into the venom’s impact on bone health. Overall, the LMW fraction shows promise for drug development due to its selective implications and potential for fewer side effects, offering a more precise approach to treating bone diseases. Full article

Searching for crop cultivars that are resilient to environmental stresses is crucial for maintaining global agricultural production. Our study aimed to screen semiarid-adapted cotton cultivars performing well under water-restricted conditions. Trials were conducted in a greenhouse involving six cotton cultivars (FM 911, FM 912, FM 970, FM 974, FM 978, and FM 985) subjected to four water levels (100, 80, 60, and 40% field capacity—FC). At 20 days post-drought imposition, the growth, leaf succulence, osmotic potential, gas exchanges, photosynthetic pigments, and lipid peroxidation were measured. Cotton plants showed reduced growth and gas exchanges at 60% and 40%, displaying elevated sensibility at 40% FC. Under 60% FC, FM 970 and FM 985 exhibited a superior dry biomass, leaf area, and growth, indicating high drought tolerance. FM 911, FM 912, and FM 978 displayed higher rates of net photosynthesis, transpiration, stomatal conductance, and chlorophyll content under 60% and 40% FC, but also demonstrated an increased lipid peroxidation. Additionally, FM 911, FM 970, and FM 974 had the lowest osmotic potential values. Field capacity at 60% and 40% represent moderate and severe drought conditions for cotton. The superior performance of FM 970, FM 978, and FM 985 under drought is attributed to pigment accumulation and photosynthetic efficiency. Our findings suggest that a water-saving strategy with an 80% FC can enhance sustainable production and identify promising cotton cultivars for cultivation in water-scarce regions. Full article

Background/Objectives: Patient safety is a critical component of healthcare quality, yet there remains a significant gap in understanding how patient safety knowledge progresses among nursing students throughout their educational journey. This scoping review aims to map and analyze the existing literature on the development of patient safety knowledge in undergraduate nursing education. Methods: This study will follow the Joanna Briggs Institute methodology for scoping reviews and adhere to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses—Scoping Reviews) guidelines. A comprehensive search strategy will be employed across multiple databases, including CINAHL (Cumulative Index to Nursing and Allied Health Literature), ERIC (Education Resources Information Center), PubMed, Embase, SCOPUS, and Web of Science. The review will include studies published from 2019 to 2024 in English, Portuguese, and Spanish. Two independent reviewers will conduct study selection and data extraction. The data will be synthesized narratively, with quantitative data summarized using descriptive statistics and qualitative data analyzed thematically. Results: The review is expected to identify key patterns in the progression of patient safety knowledge among nursing students, including critical periods for knowledge acquisition, challenges in translating theoretical knowledge into practice, and effective educational strategies. The findings will be presented in both tabular and narrative forms, providing a comprehensive overview of the current state of patient safety education in nursing programs. Conclusions: The anticipated outcomes of this review have significant implications for nursing education, healthcare policy, and clinical practice. For educators, the findings will inform curriculum development and the design of targeted interventions to enhance patient safety competencies. From a policy perspective, the results could support the standardization of patient safety education across nursing programs. In clinical practice, the study may emphasize the importance of continuous professional development in patient safety. This scoping review aims to fill a critical gap in the literature by providing a comprehensive understanding of how patient safety knowledge progresses among nursing students. The findings are expected to contribute significantly to the advancement of nursing education and patient safety, ultimately fostering a culture of safety that benefits both healthcare providers and recipients. Full article

Mastitis is a disease that is considered an obstacle in dairy farming. Some methods of diagnosing mastitis have been used effectively over the years, but with an associated relative cost that reduces the producer’s profit. In this context, this sector needs tools that offer an early, safe, and non-invasive diagnosis and that direct the producer to apply resources to confirm the clinical picture, minimizing the cost of monitoring the herd. The objective of this study was to develop a predictive methodology based on sequential knowledge transfer for the automatic detection of bovine subclinical mastitis using computer vision. The image bank used in this research consisted of 165 images, each with a resolution of 360 × 360 pixels, sourced from a database of 55 animals diagnosed with subclinical mastitis, all of which were not exhibiting clinical symptoms at the time of imaging. The images utilized in the sequential learning transfer were those of MammoTherm, which is used for the detection of breast cancer in women. The optimized model demonstrated the most optimal network performance, achieving 92.1% accuracy, in comparison to the model with manual search (86.1%). The proposed predictive methodologies, based on knowledge transfer, were effective in accurately classifying the images. This significantly enhanced the automatic detection of both healthy animals and those diagnosed with subclinical mastitis using thermal images of the udders of dairy cows. Full article

Osteoarthritis is a joint disease that causes pain, stiffness, and reduced joint function because the protective cushioning inside the joints, called cartilage, gradually wears away. This condition is caused by various factors and complex processes in the joint’s environment, involving different types of cells producing factors that can either maintain the joint health or contribute to osteoarthritis. This study aimed to understand the factors influencing both healthy and diseased joints in DDD strategies for the in vitro preconditioning of MSCs. An electronic search in the PubMed, Scopus, and Web of Science databases was carried out using the terms (cartilage OR chondr*) AND (repair OR regeneration OR healing) AND (niche OR microenvironment)) AND (“growth factor” OR GF OR cytokine). Researchers used various methods, including macroscopic examinations, histology, immunohistochemistry, and microCT. Molecules associated with joint inflammation were identified, like macrophage markers, MMP-13, TNF, apoptotic markers, and interleukins. Chondrogenesis-related factors such as aggrecan GAG, collagen type II, and TGF beta family were also identified. This study suggests that balancing certain molecules and ensuring the survival of joint chondrocytes could be crucial in improving the condition of osteoarthritic joints, emphasizing the importance of chondrocyte survival and activity. Future preconditioning methods for MSC- and EV-based therapies can find suitable strategies in the described microenvironments to explore co-culture systems and soluble or extracellular matrix factors. Full article

Fructooligosaccharides are prebiotic sugars that are widely used in the production of functional foods, which can be produced enzymatically by the transfructosylation reaction of sucrose. This work aimed to optimize the production of an invertase with high transfructosylation activity from Aspergillus carbonarius PC-4 using pineapple crown as the inducer substrate and evaluate its biochemical properties. The culture medium was optimized using a Plackett–Burman experimental design and a central composite rotatable design, resulting in a maximum transfructosylation activity of 65.33 U/mL at 72 h of cultivation. The cultivation parameters were Yp/s = 1070.75 U/g and P_P = 2771.48 U/h, which showed an increase of 5.2-fold in the enzyme produced. The optimum temperature (50 °C) and pH (5.0) for the enzymatic activity were obtained by a CCR design. The enzyme showed a half-life of 60 min at 40 °C. In conclusion, the invertase produced from A. carbonarius PC-4 using agro-industrial waste (pineapple crown) and an inorganic nitrogen source (ammonium nitrate) exhibits high transfructosylation activity that can be used as a potential source for the production of fructooligosaccharides. Full article