Search Results (52)

Biofilm formation is a key factor in microbial survival and persistence, often contributing to reduced antimicrobial susceptibility. This systematic literature review investigates whether increased biofilm formation correlates with decreased antibiotic susceptibility. The literature search was conducted in the Pubmed database and we identified and screened 328 studies, with 35 ultimately meeting the inclusion criteria for detailed analysis. Findings reveal that the relationship between biofilm size and antimicrobial susceptibility is highly variable and influenced by multiple factors, including microbial species, strain-specific traits, antibiotic type, and experimental methodologies. While some studies report a positive correlation between biofilm biomass and reduced susceptibility, others show weak or no such relationships, and statistical support for a correlation is often lacking (also due to small sample sizes). The lack of standardized biofilm quantification methods and susceptibility metrics further complicates cross-study comparisons. These findings underscore the need for standardized protocols and more comprehensive datasets to clarify the complex interplay between biofilm formation and antibiotic susceptibility. Regardless of these difficulties, the available data clearly indicate that ‘bigger’ biofilms are not by definition less susceptible. Future research should prioritize diverse and sufficiently large strain collections and consistent methodologies to better understand and address biofilm-associated antimicrobial tolerance. Full article

This work compares reactive (castor) and non-reactive (rapeseed, sunflower, linseed, and used cooking) oils, each at a dosage of 10 wt%, when incorporated into an in-house two-component polyurethane (PU) parquet adhesive. A commercial market adhesive was tested only as an external benchmark and was not modified. Mechanical properties were evaluated according to EN ISO 17178, inorganic leaching according to EN 12457-4, and volatile organics were screened by headspace GC–MS (not comparable to ISO 16000-9 chamber protocols). All in-house formulations met the EN ISO 17178 acceptance limits. The sunflower oil variant showed the highest shear strength, whereas rapeseed and castor oils provided stable tensile performance. HS-GC-MS did not yield high-confidence VOC identifications; therefore, no regulatory emission claim is made. The formulation with used cooking oil exhibited the largest variability and elevated leaching of Zn and Sb, underscoring the need for feedstock quality control. At 10 wt% loading, standard-compliant performance was obtained with both reactive and non-reactive oils, suggesting that physical modification can be sufficient, while castor oil may additionally react. In contrast to derivatized oils reported elsewhere, our approach employs unmodified oils, thereby avoiding extra reaction steps—such as epoxidation, hydroxylation, and transesterification—that typically increase the carbon footprint, while still meeting relevant standards. Full VOC chamber testing and LCA are beyond the scope of this study. Full article

Background/Objectives: Receptor-mediated transcytosis utilizing the native transporters at the blood–brain barrier (BBB) is a growing strategy for the delivery of therapeutics to the brain. One of the major challenges in identifying appropriate human transcytosis targets is that there is a species-specific transporter expression profile at the BBB, complicating translation of successful preclinical candidates into humans. In an effort to overcome this obstacle and identify proteins capable of binding human-relevant BBB ligands, we generated and screened a BBB-targeting library against human-induced pluripotent stem cell-derived brain microvascular endothelial-like cells (iPSC-derived BMEC-like cells). As targeting molecules, we used lamprey antibodies, known as variable lymphocyte receptors (VLRs), and generated a VLR library by immunizing lamprey with iPSC-derived BMEC-like cells, and inserting the resultant VLR repertoire into the yeast surface display system. Methods: The yeast displayed VLR library was then panned against human iPSC-derived BMEC-like cells and lead VLRs were validated using human in vitro models and mouse and human ex vivo brain tissue sections. Results: Finally, brain uptake for a set of VLRs was validated in mice. Of the 15 lead VLR candidates, 14 bound to human BBB antigens, and 10 bound to the murine BBB. Pharmacodynamic testing using the neuroactive peptide neurotensin indicated that the lead candidate, VLR2G, could cross the mouse BBB after intravenous injection and deliver sufficient neurotensin payload to generate a pharmacological response and lower systemic body temperature. Conclusions: Together, these results demonstrate the application of a novel screening technique capable of identifying a VLR with human relevance that can cross the BBB and deliver a payload. Full article

The role of blind endometrial sampling, in the era of hysteroscopy-guided biopsy, can be only considered as a screening tool or a first-line approach if a hysteroscopy cannot be performed for whatever reason. Several devices are available, with Perma (a sharp-edged spatula sliding inside a flexible cannula) being one of them. Objectives: The aims of this study were to compare the concordance of blind to visual endometrial sampling, and the influence of operators’ experience on the results. Materials and Methods: Women undergoing hysteroscopy were invited to undergo a Perma biopsy as well. If accepted, a Perma sampling was performed before the hysteroscopy and only if there was no cervical dilatation (as an office setting). The operator was randomly chosen between expert (two staff members) and non-expert (two residents) operators. All cases were collected at the AOU Maggiore della Carità, Novara, Italy. Categorical variables were presented in number and percentage (%) and continuous variables were presented as mean ± SD. The association between categorical variables was evaluated using Fisher’s exact test. Clinical outcomes were analyzed, and the results were first compared within the same patient and subsequent within the doctors’ group (inter- and intra-variation) in terms of Cohen’s Kappa. Results: 82 women performed both hysteroscopy and Perma. A sensitivity of 81.8% and specificity of 100% was found when Perma was compared to hysteroscopy (the gold standard). The comparison between valid vs. invalid samples in terms of sufficient evaluable tissue was not significant (p = 0.583). There are no statistical associations with body mass index, parity, or previous intrauterine surgery related to the outcomes of hysteroscopy and Perma. Cohen’s Kappa between non-experts was 0.43 (moderate), between experts was 0.30 (fair), with the highest concordance being between one non- and one expert (0.68 = substantial). Perma represents a pragmatic diagnostic tool, which could also be used in outpatient. Full article

Ultra-high molecular weight polyethylene (UHMWPE) fiber-reinforced concrete (UHMWPE-FRC) is a hard–soft multiphase hybrid composite with exceptional toughness and impact resistance compared to conventional concrete. However, its cutting characteristics and processing performance have not been sufficiently investigated, potentially causing accelerated saw blade wear, higher energy consumption, and poor cutting quality, thus increasing project costs and duration. In order to intelligently evaluate the performance of diamond saw blades when cutting UHMWPE-FRC, a feature extraction method, based on feature classification and an improved Hilbert–Huang transform (HHT), is proposed, which consider Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) and wavelet threshold de-noising. By conducting the cutting experiments, the cutting force was analyzed by the improved HHT, in terms of noise reduction and time-frequency. Five types of characteristics were preliminarily screened, including depth of cut (a_p), cutting speed (V_c), feed rate (V_f), concrete strength, and the type of concrete. A feature correlation analysis method for UHMWPE-FRC cutting, based on feature classification, is proposed. The five features were classified into continuous variable features and unordered categorical variable features; correlation analyses were carried out by Spearman correlation coefficient testing and Kruskal–Wallis and Dunn’s testing, respectively. It was found that the a_p and concrete strength exhibited a strong positive correlation with cutting force, making them the primary influencing factors. Meanwhile, the influence of aggregates on cutting force can be identified in the low-frequency range, while the influence of fibers can be identified in the high-frequency range. The feature classification-based correlation analysis effectively distinguishes the influence of V_c on cutting force. Full article

Background: Monoclonal antibodies (mAbs) are potent treatment options for infectious diseases. The rapid isolation and in vivo validation of therapeutic mAb candidates, including mAb cocktails, are essential to combat novel or rapidly mutating pathogens. The rapid selection and production of mAb candidates in sufficient amount and quality for preclinical studies are a major limiting step in the mAb development pipeline. Methods: Here, we developed a method to facilitate the screening of therapeutic mAbs in mouse models. Four conventional mAbs were transformed into single-chain variable fragments fused to the fragment crystallizable (Fc) region of a human IgG1 (scFv-IgG). These scFv-IgG were expressed individually or as a cocktail in vitro and in mice following transfection or hydrodynamic delivery of the corresponding plasmids. Results: This method induced high expression of all scFv-IgG and provided protection in two murine infection models. Conclusions: This study highlights the benefits of this approach for the rapid, low-cost screening of therapeutic mAb candidates. Full article

Background: In total, 6.6% to 11% of patients with an initially implanted implantable cardioverter-defibrillator (ICD) will develop significant bradycardia and the need for pacing in subsequent years. As the leadless pacemaker (LP) and subcutaneous implantable cardioverter-defibrillator (S-ICD) population comorbidities are often similar, both groups would benefit from a hybrid solution. Unfortunately, currently, there is no commercially available and sufficiently validated interconnected set of S-ICD and LP. Methods: In this single-center, prospective observational study, 32 pacing-dependent patients after implantation of a Micra LP were screened for S-ICD on the left and right sides of the sternum using the EMBLEM Automated Screening Tool. At least one positive, both in the supine and standing positions, was considered a positive screening. The impact of various clinical variables and morphology of paced QRS on screening results was assessed. Moreover, the function of the tricuspid valve was evaluated before and after LP implantation to consider whether there is a relationship between paced QRS and worsening tricuspid regurgitation. Results: Patients with paced heart rhythm were divided into two groups based on screening results for S-ICD. The positive screening outcome was achieved in 10 patients (31.25%). No correlation between any clinical variable and screening results was found. However, right axis deviation [RAD] of paced QRS seems to be a strong predictor of positive S-ICD screening (RAD in 9/32 patients, sensitivity 90%, specificity 100%, PPV 100%, NPV 96% for passing screening), and negative polarity of paced QRS in inferior leads predicts negative screening results (positive polarity in II, III, and aVF in 12/32 patients, sensitivity 100%, specificity 90%, PPV 83%, NPV 100% for passing screening). Conclusions: Right axis deviation of the paced rhythm, positive QRS polarity of leads II, III, and aVF, and negative QRS polarity in leads I and aVL seem to predict a positive screening result for S-ICD. Such a position of LP does not seem to worsen tricuspid regurgitation. Full article

Background: The ionotropic glutamate receptor AMPA (AMPAR) mediates fast excitatory synaptic transmission and regulates synaptic strength in various parts of the CNS. Emotional challenges can affect these processes by influencing AMPAR levels and localization via stress hormones, resulting, e.g., in behavioral changes. AMPARs are essential for auditory processing, but their response to stress hormones in the central or peripheral auditory system remains poorly understood. Therefore, this scoping review examines the effects of corticosterone (CORT), a primary stress hormone in rodents, on AMPA receptor levels and localization in the rodent nervous system and considers potential implications for the auditory system. Methods: We systematically searched PubMed, Web of Science, and OVID EMBASE using MeSH terms related to AMPA receptors and corticosterone. Studies were screened based on predefined inclusion criteria, including original research published in English that focused on AMPA receptor subunits (e.g., GluR1-4, GluA1-4, Gria1-4). Of 288 articles screened, 17 met the criteria for final analysis. Results: No reports were found regarding CORT action in the auditory system. Three main experimental models used in the included research were identified: neuronal cultures, isolated tissue cultures, and animal models. Generally, short-term CORT exposure increases AMPAR surface localization and mobility in neuronal cultures, especially in the hippocampus and prefrontal cortex. However, results from animal models were inconsistent due to variations in experimental design and other factors. The isolated tissue study did not provide sufficient data for clear conclusions. Conclusions: Variability in experimental models limits our ability to draw definitive conclusions about the effects of CORT on AMPARs across different regions of the nervous system. The differences in live animal studies highlight the need for standardized methods and reporting. Since AMPARs play a crucial role in auditory processing, CORT-induced changes in neuronal cultures may occur in the auditory system. Further research is needed to explore the specific responses of AMPAR subunits and how stress hormones may influence auditory disorders, which could help identify potential treatment strategies. Full article

Background and Objectives: Congenital syphilis remains a significant global health concern, with severe morbidity and mortality if undiagnosed and untreated. Although many infants appear asymptomatic at birth, subtle clinical signs—including bullous lesions (congenital bullous syphilis, also known as pemphigus syphiliticus)—may facilitate early detection. Recognizing this rare manifestation is crucial for timely intervention, reducing serious outcomes. Materials and Methods: We systematically reviewed Medline (PubMed), Embase, and the Cochrane Central Register of Controlled Trials from inception to December 2024 for cases of congenital bullous syphilis, also known as pemphigus syphiliticus. We extracted demographic, clinical, laboratory, radiological, treatment, and outcome data. Additionally, we included clinical information from a newly documented case of congenital bullous syphilis managed in our center. Results: Twenty-four cases of congenital syphilis with bullous lesions were identified, twenty with sufficient detail for analysis. Patients presented three distinct clinical patterns: confined palmoplantar lesions, acrally distributed lesions, and diffuse bullous-erosive involvement. Despite variable severity, cutaneous manifestations provided a key diagnostic clue. Nontreponemal and treponemal serologic tests were central to diagnosis, supported by maternal screening and imaging. Intravenous penicillin G was the most frequently employed therapy. While most infants achieved remission, severe respiratory involvement was associated with mortality. Our new case aligned with these findings, demonstrating full resolution after appropriate antibiotic therapy. Conclusions: Bullous syphilis, though rare, is an important early sign of congenital syphilis. Prompt recognition and diagnosis—enabled by diligent maternal screening, targeted neonatal testing, and careful clinical examination—are essential to initiate timely penicillin therapy and prevent severe complications or death. This review underscores the need for heightened clinical vigilance and adherence to established guidelines for syphilis screening and treatment during pregnancy, ultimately improving neonatal outcomes. Full article

Given the increasing use of innovative force plate systems in applied sports settings and the impact that anterior cruciate ligament (ACL) injuries have on team success, the purpose of the present study was to compare the lower-body neuromuscular performance characteristics of athletes who underwent ACL reconstruction (ACLR) and their non-injured counterparts (i.e., healthy controls). Forty-five male (thirteen injured) and twenty-six female (ten injured) semi-professional soccer players volunteered to participate in the present study. Each athlete performed three countermovement vertical jumps (CMJs) while standing on a uniaxial force plate system sampling at 1000 Hz. The injured athletes completed a nine-month recovery protocol and were screened 11–13 months post-ACLR. The dependent variables included the force–time metrics within both the eccentric and concentric phases of the CMJ. Independent t-tests or Mann–Whitney U-test were used to examine statistically significant (p < 0.05) differences in each variable (i.e., ACL-injured vs. healthy controls). The results revealed no significant between-group differences in any CMJ force–time metrics of interest (e.g., concentric peak force, eccentric mean power, countermovement depth) between ACL-injured and non-injured athletes, including inter-limb asymmetry measures (i.e., peak takeoff and landing force). Besides implying the effectiveness of the implemented rehabilitation protocol, these findings suggest that the CMJ may not present a sufficient neuromuscular performance stimulus needed to expose lower-limb asymmetries and strength and power deficiencies 11–13 months post-ACLR. Full article

In general, agricultural productivity in Angola is low due to the limited awareness among stakeholders regarding sustainable development strategies (DSs) and good agricultural practices (GAPs) that could be adjusted to local crops, soil types, and climatic conditions. A structured approach was followed to develop a systematic literature review (SLR) that can address this gap by examining how DSs and GAPs may be adapted for Angola’s context to encourage sustainable agricultural development. Key steps included the selection and exclusion of literature from primary scientific databases based on specific screening indicators such as the publication date, language, relevance to DSs and GAPs, and geographic focus on developing or developed nations with comparable agricultural challenges. The initial search resulted in 11,392 articles, of which 4257 met the primary selection criteria. After further screening for relevance and availability, 98 articles were shortlisted, and 15 studies were ultimately included for in-depth analysis. This strict screening process ensured the inclusion of studies most applicable to Angola’s agricultural context. The key research findings indicate that certain DSs and GAPs have high adaptability potential for Angola. The findings emphasise practices such as drip irrigation and inorganic fertilisation, which are widely implemented in both developed and developing countries due to their efficiency in resource-limited environments. Additional strategies, such as water management systems, organic composting, and agroforestry practices, demonstrate significant potential to enhance soil fertility, water efficiency, and crop resilience against climate variability. By identifying these practices and strategies, this study provides a basic framework for policymakers in Angola to develop targeted implementation guidelines, fostering sustainable agricultural growth and resilience in the face of climatic challenges. Thus, this review contributes to the scientific and practical understanding of sustainable agriculture in developing countries, offering critical insights that support Angola’s efforts to achieve greater self-sufficiency and economic stability through sustainable agricultural practices. Full article

In order to reduce the contribution of the building sector to global greenhouse gas emissions and climate change, it is important to improve the building performance through retrofits from the perspective of carbon emission reductions. Data-driven methods are now widely used in building retrofit research. To better apply data-driven techniques in low-carbon building retrofits, a better understanding is needed of the connections and interactions in optimization objectives and parameters, as well as optimization methods and tools. This paper provides a bibliometric analysis of selected 45 studies, summarizes current research hotspots in the field, discusses gaps to be filled, and proposes potential directions for future work. The results show that (1) the building-performance optimization (BPO) process established through physical simulation methods combines the site, retrofit variables, and carbon-related objectives, and the generated datasets are either directly processed using multi-objective optimization (MOO) algorithms or trained as a surrogate model and iteratively optimized using MOO methods. When a sufficient amount of data is available, data-driven methods can be used to develop mathematical models and use MOO methods for performance optimization from the perspective of building carbon emission reductions. (2) The benefits of retrofits are maximized by holistically taking environmental, economic, and social factors into account; from the perspectives of carbon emissions, costs, thermal comfort, and more, widely adopted strategies include improving the thermal performance of building envelopes, regulating HVAC systems, and utilizing renewable energy. (3) The optimization process based on data-driven methods, such as optimization algorithms and machine learning, apply mathematical models and methods for automatic iterative calculations and screen out the optimal solutions with computer assistance with high efficiency while ensuring accuracy. (4) Only 2.2% and 6.7% of the literature focus on the impacts of human behavior and climate change on building retrofits, respectively. In the future, it is necessary to give further consideration to user behaviors and long-term climate change in the retrofit process, in addition to improving the accuracy of optimization models and exploring the generalization and migration capabilities of surrogate models. Full article

The main concern of remote control systems for autonomous ground vehicles (AGVs) is to perform the given mission according to the purpose of the operator. Although most remote systems are composed of a screen-based architecture, they are insufficient to transfer sufficient information to the remote operator. Therefore, in this paper, we present and experimentally validate an abnormal driving area detection system using an interacting multiple model (IMM) filter for the remote control system. In the proposed IMM filter, the unknown dynamic behavior of the vehicle, which changes according to changes in the driving environment, was lumped into a parameter change of the system model. As a result, we can obtain the probability of each model representing the reliability of each model, but an index can be used to infer the current status of the AGV and the driving environment. The index can help us detect both unusual behavior of the AGV such as skidding or sliding, and areas with low-friction road conditions that are not confirmed by images from the camera sensor. Thus, the remote operator can directly decide whether to continue operating or not. The proposed method is simple but useful and meaningful for the remote operator compared to the image-only method. The overall procedure of the proposed method was experimentally validated via a multi-purpose AGV on rough unpaved proving ground. Nine abnormal driving areas were discovered on the ground. In five of these areas, vehicles consistently exhibited abnormal driving behavior. The remaining four areas were confirmed to be affected by variables such as weather conditions and vehicle tire wear. Full article

This research stems from the increasing use of hand gestures in various applications, such as sign language recognition to electronic device control. The focus is the importance of accuracy and robustness in recognizing hand gestures to avoid misinterpretation and instruction errors. However, many experiments on hand gesture recognition are conducted in limited laboratory environments, which do not fully reflect the everyday use of hand gestures. Therefore, the importance of an ideal background in hand gesture recognition, involving only the signer without any distracting background, is highlighted. In the real world, the use of hand gestures involves various unique environmental conditions, including differences in background colors, varying lighting conditions, and different hand gesture positions. However, the datasets available to train hand gesture recognition models often lack sufficient variability, thereby hindering the development of accurate and adaptable systems. This research aims to develop a robust hand gesture recognition model capable of operating effectively in diverse real-world environments. By leveraging deep learning-based image augmentation techniques, the study seeks to enhance the accuracy of hand gesture recognition by simulating various environmental conditions. Through data duplication and augmentation methods, including background, geometric, and lighting adjustments, the diversity of the primary dataset is expanded to improve the effectiveness of model training. It is important to note that the utilization of the green screen technique, combined with geometric and lighting augmentation, significantly contributes to the model’s ability to recognize hand gestures accurately. The research results show a significant improvement in accuracy, especially with implementing the proposed green screen technique, underscoring its effectiveness in adapting to various environmental contexts. Additionally, the study emphasizes the importance of adjusting augmentation techniques to the dataset’s characteristics for optimal performance. These findings provide valuable insights into the practical application of hand gesture recognition technology and pave the way for further research in tailoring techniques to datasets with varying complexities and environmental variations. Full article

Since November 2021, Omicron has emerged as the dominant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, and its sublineages continue to appear one after another, significantly reducing the effectiveness of existing therapeutic neutralizing antibodies (NAbs). It is urgent to develop effective NAbs against circulating Omicron variants. Here, we isolated receptor binding domain (RBD)-specific single memory B cells via flow cytometry from a COVID-19 convalescent. The antibody variable region genes of the heavy chain (VHs) and light chain (VLs) were amplified and cloned into expression vectors. After antibody expression, ELISA screening and neutralizing activity detection, we obtained an IGHV3-53-encoded RBD-targeting cross-neutralizing antibody D6, whose VL originated from the IGKV1-9*01 germlines. D6 could potently neutralize circulating Omicron variants (BA.1, BA.2, BA.4/5 and BF.7), with IC50 values of less than 0.04 μg/mL, and the neutralizing ability against XBB was reduced but still effective. The KD values of D6 binding with RBD of the prototype and BA.1 were both less than 1.0 × 10⁻¹² M. The protein structure of the D6-RBD model indicates that D6 interacts with the RBD external subdomain and belongs to the RBD-1 community. The sufficient contact and deep interaction of D6 HCDR3 and LCDR3 with RBD may be the crucial reason for its cross-neutralizing activity. The sorting and analysis of mAb D6 will provide important information for the development of anti-COVID-19 reagents. Full article