Search Results (22,857)

Facial palsy (FP) impairs voluntary control of facial muscles, resulting in facial asymmetry and difficulties in emotional expression. Traditional assessment methods to define the severity of FP (e.g., House–Brackmann score, HB) rely on visual examinations and, therefore, are highly examiner-dependent. This study proposes an alternative approach using facial surface electromyography (EMG) for automated HB prediction. Time-domain EMG features were extracted during different facial movements (i.e., smile, close eyes, and raise forehead) and analyzed through nine different machine learning (ML) models in 58 subjects (51.98 ± 1.67 years, 20 male) with variable facial nerve function (HB 1: n = 16, HB 2–3: n = 32; HB 4–6: n = 10). Model performances were evaluated based on accuracy, precision, recall, and F1-score. Among the evaluated models, ensemble-based approaches—particularly a random forest model with 100 trees and a decision tree ensemble—proved to be the most effective with classification accuracies ranging from 81.7 to 84.8% and from 81.7 to 84.7%, depending on the evaluated facial movement. The results indicate that ensemble-based ML models can reliably distinguish between different FP grades using non-invasive EMG data. The approach offers a robust alternative to subjective clinical scoring, potentially improving diagnostic consistency and supporting longitudinal monitoring in clinical and research applications. Full article

Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome prediction. It does so by leveraging deep learning and computer vision, as well as AI-driven platforms such as ERICA, iDAScore, and IVY where the goal is to address the limitations of traditional embryo assessment. Key amongst them are the issues of subjectivity, labor intensity, and limited predictive power. Despite rapid technological progress, the integration of AI into routine IVF practice faces key challenges. These are issues related to clinical validation, ethical dilemmas, and workflow adaptation. Rationale/Objectives: This review synthesizes current evidence to evaluate the role of AI in IVF, focusing on six critical dimensions: (1) the evolution of AI from traditional embryology to algorithmic assessment, (2) clinical validation and regulatory considerations, (3) limitations and ethical challenges, (4) pathways for clinical integration, (5) real-world applications and outcomes, and (6) future directions and policy recommendations. The objective is to provide a comprehensive roadmap for the responsible adoption of AI in reproductive medicine. Outcomes: AI demonstrates significant potential to improve the precision and efficiency of IVF. Studies report that AI models can achieve 10 to 25% higher accuracy in predicting embryo viability and implantation potential compared to traditional morphological assessment by embryologists. This enhanced predictive power supports more consistent embryo ranking, facilitates elective single-embryo transfer (eSET) strategies, and is associated with 30 to 50% reductions in embryologist workload per embryo cohort. Early adopters report promising trends. However, large-scale randomized controlled trials have yet to conclusively demonstrate a statistically significant increase in live birth rates per transfer compared to expert embryologist selection. The most immediate and evidenced value of AI lies in hybrid decision-making models. This is where it augments embryologists by providing data-driven, objective support, thereby standardizing workflows and reducing subjectivity. Wider Implications: The sustainable integration of AI into IVF banks on three key aspects: robust evidence generation, interdisciplinary collaboration, and global standardization. To foster these, policymakers ought to establish regulatory frameworks for transparency and bias mitigation. On their part, clinicians need training to interpret AI outputs critically. Ethically, safeguarding patient trust and equity is non-negotiable. Future innovations, mainly AI-enhanced genomics and real-time monitoring, could further personalize care. However, their success depends on addressing current limitations. By balancing innovation with ethical vigilance, AI holds the potential to revolutionize IVF while upholding the highest standards of patient care. Full article

Background: In silico diet design may represent a flexible approach in diet planning and adaptation to a variety of conditions, and it may take advantage from standard diet(s) as reference template(s). The concept of standard diet(s) is, however, quite vague and poorly defined. Objective: The aim of this work was to develop templates of omnivorous (OMN), lacto-ovo-vegetarian (LOV), and vegan (VEG) standard diets, based on data produced in European countries and the USA in 1998–2024, and adapted to an adult subject requiring ≈2200 kcal/day. Design: Online databases were used to identify papers containing experimentally determined (EXP) data of daily food frequencies, or reporting dietary recommendations (REC) from (inter)national agencies or specific studies. Only sources reporting quantitative food data (as g/day) in OMN, LOV, and VEG diets were accepted. Results: Out of >200 publications initially identified, 24 EXP and 20 REC sources complied with the selection criteria. By combining the EXP and REC data within each diet type, total meat intake in OMN diet was 99 ± 36 g/day. Total dairy food in LOV diets (247 ± 107 g/day) tended to be lower (by ≈15%, NS) than in OMN diets (272 ± 100). In VEG diets, total vegetal foods were ≈33% greater than in LOV (p < 0.01), and ≈1-fold greater than in OMN ones (p < 0.00001). Total cereal foods were similar in OMN (272 ± 122) and LOV (264 ± 122) diets, but tended to be ≈20–25% greater in VEG diets (to 326 ± 103, NS). Potato and other starchy foods were not different among the three diets. Legumes and pulses were modestly but insignificantly greater in LOV (55 ± 25) and VEG diets (112 ± 137) than in OMN ones (31 ± 24). Soy products were greater in VEG than in LOV diets. The “nuts, seeds, and spreads” food group in VEG diets was ≈3-fold greater than in OMN (p < 0.0005), and ≈90% greater than in LOV diets (p < 0.002). Fruit intake in VEG diets was ≈14% (p = NS) and ≈ 60% (p < 0.005) greater than in LOV and OMN diets, respectively. Finally, the “protein and energy-rich vegetal alternatives” food group in LOV and VEG diets was ≈5- to ≈6-fold greater than in the OMN diet (p ≤ 0.001). Conclusions: The exclusion of meat, fish, and egg in LOV diets is not compensated by increased dairy foods, rather by more total vegetal foods and protein-rich vegetal alternatives. VEG diets replace animal-derived proteins mainly with nuts, seeds, and spreads, soy products and protein-rich vegetal alternatives. On the basis of these data, templates to design “standard” OMN, LOV, and VEG diets are proposed. Full article

Ship lock zones represent bottlenecks and a particular challenge for authorities managing vessel traffic. Traditionally, the control strategy of such systems has relied heavily on the subjective judgment, experience, and tacit knowledge of ship lock operators. To address the inherent uncertainty and imprecision associated with these subjective assessments, fuzzy logic and fuzzy set theory have been adopted as appropriate mathematical frameworks. In this work, the control strategy and the Fuzzy Decision Support System (FDSS) of a single-chamber ship lock designed for two vessels on a two-way waterway are analyzed and modeled. The input data is generated based on a synthesized dataset reflecting the annual schedule of vessel arrivals. The software is based on proposals and suggestions of experienced ship lock operators, and it is further validated through vessel traffic simulations. Moreover, the development of an appropriate Supervisory Control and Data Acquisition (SCADA) system integrated with a Programmable Logic Controller (PLC) is detailed, providing the necessary infrastructure for real-time deployment of the fuzzy control algorithm. The proposed control system represents an original contribution and offers practical applications both as a decision-support tool for real-time lock management and as a training platform for novice or less experienced operators. Full article

Public ecological products constitute the most fundamental public goods supporting human well-being. Enhancing the high-quality supply of public ecological products is critical for maintaining ecological safety, ensuring the ecological regulation function, and promoting the harmonious coexistence of humans and nature. To deeply investigate the supply process and behavioral mechanisms of public ecological products, this study constructs a simulation model based on Agent-Based Modeling (ABM) to simulate the behavior rules and dynamic processes of four main subjects involved in the supply of public ecological products: government, enterprises, the public, and environmental non-governmental organizations (ENGOs). After calibrating the model parameters with relevant data from the water production and supply industry in Beijing, the good fit of the model output results verifies the effectiveness of the model. This study reveals the operating mechanism of multi-subject collaborative supply of public ecological products, providing a basic model for investigating the mechanism and evolution process of ecological product supply under more complex conditions, and also providing a powerful tool for the ex-ante evaluation of the implementation effect of public ecological product supply policies. Full article

As a representative case that embodies both the attributes of a Buddhist sacred site and those of a UNESCO World Heritage site, Mount Wutai provides a distinctive research setting for examining behavioral mechanisms in temple tourism. This study aims to construct an integrated model to systematically test the effects of enjoyment, memorability, attitude, subjective norm, and perceived behavioral control (PBC) on revisit intention (RI), while incorporating social media exposure as a moderating variable. Based on data collected through a two-wave on-site survey, this study analyzed 617 tourists in Mount Wutai and employed structural equation model to examine the relationships among the variables. The results indicate that all five psychological antecedents exert significant positive effects on revisit intention, among them, PBC demonstrating the most substantial impact. Further analysis reveals that social media exposure significantly moderates the relationships among enjoyment, memorability, attitude, subjective norm, and revisit intention, most notably in the “memorability–RI” relationship, whereas its moderating effect on the “PBC–RI” relationship is not significant. These findings not only enrich the theoretical framework by integrating emotional attribution, behavioral cognition, and digital media engagement but also provide practical implications for sacred tourism destinations, enabling them to enhance visitor loyalty through digital communication and experience optimization. Full article

Objective quantification of tremor remains a challenge in Parkinson’s disease (PD) assessment, with current clinical assessments relying largely on subjective scale ratings. This study evaluates the feasibility and signal behaviour of integrating surface electromyography (sEMG) with MDS-UPDRS-aligned tasks in a healthy adult cohort, with the aim of establishing normative low-frequency muscle activation profiles. Thirty-two healthy participants (mean age 27.6 ± 5.3 years) completed seven upper-limb tasks derived from the MDS-UPDRS while sEMG data were recorded from antagonistic forearm muscles. Signals were normalised using maximum voluntary contraction, filtered at 14 Hz, and analysed using frequency-domain (FFT) and time-frequency (STFT) methods. Significant task-dependent differences were observed in both frequency occurrence and magnitude (p < 0.05), particularly within the 3.5–9 Hz range. Finger tapping elicited increased low-frequency activity compared to baseline, while pronation–supination produced the most stable and consistent muscle activation across participants. Frequencies above 12 Hz showed minimal task discrimination. These findings demonstrate that low-frequency tremor-like activity can occur during specific MDS-UPDRS tasks in healthy individuals and may require further validation before being considered suitable for PD staging. This work establishes normative sEMG benchmarks to support future clinical validation and PD cohort comparisons. Full article

Background: Oral manifestations are common among people living with HIV (PLWH) and serve as important clinical indicators of immune status and disease progression. Despite extensive global research, data from the Gulf Cooperation Council region, particularly Saudi Arabia, remain limited. Aims: In this study, we aimed to determine the prevalence of oral manifestations, and their associations with immunological parameters, in a large cohort of PLWH in the Eastern Province of Saudi Arabia. Methods: In this cross-sectional study, we enrolled 1500 adult PLWH who attended the Dammam Medical Complex HIV Clinic between January and December 2023. Demographic, clinical, and laboratory data were collected through medical record review. Standardized oral examinations were performed once per participant by two calibrated dentists using World Health Organization criteria. Statistical analyses included descriptive statistics, chi-square tests, and independent t-tests, with significance set at p < 0.05. Results: The cohort had a mean age of 38.3 ± 11.5 years and was predominantly male (78.3%). Most patients (89.6%) were receiving antiretroviral therapy (ART), with 75.7% achieving viral suppression. The mean CD4 count was 527 ± 221 cells/μL. Common co-infections included hepatitis C virus (11.7%), tuberculosis (17.2%), and hepatitis B virus (4.3%). The prevalence of any HIV-related oral manifestation was 72.9% (n = 1093); the most common findings were xerostomia (subjective dry mouth sensation, 48.1%), oral candidiasis (21.6%), and periodontitis (42.7%). Among severely immunosuppressed patients (CD4 < 200 cells/μL, n = 114), 89.5% had oral manifestations, with oral candidiasis affecting 66.7%. Severe immunosuppression was strongly associated with ART-naive status (92.0% vs. 8.0%, χ² = 864.55, p < 0.001). The presence of HIV-related oral manifestations was significantly associated with CD4 count < 200 cells/μL (χ² = 15.96, p < 0.001). Conclusions: HIV-related oral manifestations remain highly prevalent in our large Saudi cohort, despite high ART coverage, with xerostomia and oral candidiasis as the predominant findings. Severe immunosuppression was strongly associated with both ART-naive status and opportunistic oral infections. The association between oral manifestations and immunosuppression underscores their continued clinical relevance as accessible indicators of disease status. Integration of routine oral health screening into HIV care is essential for comprehensive patient management in the region. Full article

As the aging society progresses, it is particularly important to strengthen the sharing of silver economy data to promote the development of the silver economy. This paper focuses on analyzing the mechanism by which digital platforms promote silver economy data sharing and constructs an evolutionary game model that includes government departments, digital platforms, enterprises, and elderly people. On this basis, the stability of the strategies of each subject in the system is analyzed, and the influence of key parameters is also discussed. The simulation draws the following conclusions. Firstly, initial strategy proportions significantly influence evolutionary directions. Higher initial proactive participation increases the probability of convergence to the optimal state. Secondly, digital platforms are driven by government regulation intensity, user complaint probabilities, and reputational losses. Increasing fines and user complaint probabilities incentivize platforms to offer high-quality protection. Thirdly, government departments can initially incentivize enterprises and elderly people to participate in data sharing through subsidies and tax incentives and build a long-term driving mechanism by improving regulatory mechanisms and enhancing digital literacy among the elderly people. The research results can serve as a reference for government departments to promote data sharing in the silver economy. Full article

Macrophages accumulate in visceral adipose tissue (VAT) during hypertension and may contribute to hypertension-associated inflammation. Exercise has shown beneficial effects on hypertension; however, the exact mechanisms by which the activated immune cells lead to the protective effects remain unclear. Our study aimed to determine how exercise influences VAT inflammation by modulating the macrophage polarization in hypertensive mice. Renin transgenic (R+) mice were used as a hypertensive mouse model and subjected to exercise (8 weeks). The body weight and blood pressure were monitored, VAT morphology was assessed by H&E and Masson Trichrome staining, macrophage polarization was determined by immunostaining and flow cytometry, and macrophage phenotype-related proteins were analyzed within the VAT via Western Blots. Results showed that exercise reduced the adipocyte size and collagen content of VAT and increased cell infiltration in R+ mice. Immunostaining and flow cytometry data showed that the ratio of pro-inflammatory macrophages (M1) to anti-inflammatory macrophages (M2) was increased in the VAT of R+ mice, while exercise corrected the macrophage polarization, which was consistent with protein level changes in VAT. Together, our data suggest that exercise improves vascular remodeling and VAT function (reduced adipocyte size, loss of collagen) by modulating VAT inflammation (polarization of macrophages) in hypertensive mice. Full article

Radar interferometry can provide important information for Structural Health Monitoring (SHM) of bridges and other transportation structures. In this article, joint communication and sensing (JCAS) telecommunication infrastructure is tested as a ground-based radar, offering advantages in terms of long-term costs, deployment and maintenance. This work specifically addresses the estimation of the radar support movement (i.e., pylon or mast), which represents a major challenge in this kind of measurements. Movements of the radar system combine with the true target motion and, if not correctly compensated, can compromise the accuracy of the results. A technique for estimating radar movements based on the displacement tracking of multiple permanent scatterers (PSs) in the scenario is presented. True target displacements can then be retrieved by applying linear regression methods to fixed PSs located at different viewing angles, accounting for both radar movements and atmospheric displacement components. The technique was validated using real data acquired during an experimental campaign on a bridge test site. First, results obtained for a target subject to known displacements are shown. A second measurement session was aimed at testing the method for bridge dynamic monitoring. Finally, the same technique was applied antenna mast monitoring in terms of modal analysis and vibration characterization. Full article

Equine theileriosis, caused by the protozoan parasite Theileria equi, represents a significant economic threat to the equine industry. In Xinjiang, China, an endemic area for this disease, systematic research on the genetic diversity of T. equi has been notably lacking. The aim of this study was to obtain molecular epidemiological data pertaining to the parasite in selected regions of Xinjiang, China, and analyze the genetic characteristics (including 18S rRNA, EMA-1, and COI genes) and genotype distribution patterns of isolates from these regions, providing a scientific basis for developing targeted prevention and control strategies. Blood samples were collected from 440 horses across four regions (Altay, Ili, Tacheng, and Urumqi) and subjected to PCR assays. Positive samples were sequenced for phylogenetic and haplotype network analyses, and genetic diversity indices were calculated. The overall infection rate of T. equi was 38.41% (169/440), with Tacheng having the highest prevalence (86.27%) and Altay the lowest (20.88%); these regional differences were statistically significant. Phylogenetic analysis identified two genotypes of the 18S rRNA gene: genotype E (predominant) and genotype A. All EMA-1 sequences clustered exclusively within genotype A. Notably, all COI gene sequences formed a monophyletic group, exhibiting closer genetic relationships to isolates from France and Senegal. This study presents the first comprehensive genotyping of T. equi in Xinjiang based on three target genes and constructs an associated haplotype network. The analysis identified 18S rRNA genotype E and EMA-1 genotype A as the predominant genotypes. Furthermore, the genetic diversity of T. equi was found to be higher in Urumqi than in the other regions studied. Full article

Yersinia pestis caused the three plague pandemics that claimed more than two hundred million human lives. There is still no vaccine that meets all WHO requirements, and many researchers continue to develop plague vaccines using various technological platforms. For example, researchers led by Roy Curtiss 3rd have developed a new approach to achieve controlled, delayed attenuation of bacterial pathogens. Mutants generated using this method were superior in protecting Y. pestis-infected mice immunized with strains generated using traditional gene knockout. However, further studies are needed to determine the safety and efficacy of these delayed-attenuated strains in other mammalian species in order to extrapolate on humans the data obtained in accordance with the FDA Animal Rule. Three Y. pestis strains, a Δcrp mutant, a mutant with arabinose-dependent regulated crp expression (araC P_BAD crp) or an araC P_BAD crp mutant cured of plasmid pPst were derived from virulent wild-type strain 231. To evaluate the safety, outbred mice or guinea pigs were immunized subcutaneously with serial tenfold dilutions of mutated strains. For vaccine studies, immunized animals were subcutaneously challenged with 200 LD₁₀₀ (lethal dose in all exposed subjects) of the wild-type Y. pestis strain. The challenge caused the death of 100% of naïve animals in controls. The Y. pestis strain 231Δcrp was nonlethal in mice at a dose of 10⁷ CFs. The LD₅₀ of the 231Δcrp strain in guinea pigs increased by at least 10⁷-fold compared to that of the wild-type strain. The LD₅₀s of the 231P_BAD-crp mutant in mice and guinea pigs were approximately 10⁴-fold and 10⁷-fold higher than those of Y. pestis 231, respectively. The 231P_BAD-crp(pPst¯) strain did not cause death in mice (LD₅₀ > 10⁷ CFU) and guinea pigs (LD₅₀ > 10⁹ CFU) when administered subcutaneously and was capable of inducing intense protective immunity in both species of laboratory animals. Our research has shown once again the necessity of balance between safety and effectiveness demonstrating the feasibility of further investigation of crp mutants as promising candidate plague vaccines. Full article

Rodents, as a core component of desert ecosystems and an important indicator of environmental changes, are ideal subjects for studying the impacts of fluctuations in climatic conditions on wildlife. Based on field data from the southern Alxa Desert (2014–2020), this study constructed an ecosystem structure network integrating local/metacommunities, climate, soil, and plant communities. Combined with structural equation modeling, we explored the response mechanisms of rodent communities to climatic conditions across multiple scales. The results showed the following: the α-diversity of local and metacommunities exhibited convergent seasonal patterns, with greater impacts from human disturbances than interannual effects, as well as coexisting species turnover and nesting in metacommunities. Precipitation directly affected metacommunity abundance and diversity and indirectly influenced both community types via vegetation, while temperature directly regulated community characteristics; metacommunities were formed via the coupling of local communities through species migration and habitat filtering, reflecting complex links between local and regional processes. This research provides scientific support for predicting desert ecosystem dynamics and guiding conservation management. Full article

Estimation of remaining useful life (RUL) of roller bearings is a prevalent problem for predictive maintenance in manufacturing. However, roller bearings are subject to a variety of factors during their operation. As a result, we deal with a slow nonlinear degradation process, which is long-range dependent, self-similar and has non-Gaussian characteristics. Proper data pre-processing enables us to use Pareto’s probability density function (PDF), Generalized Pareto motion (GPm) and its fractional-order extension (fGPm) as the degradation predictive model. Estimation of the Hurst exponent shows that this model has a long-range correlation and self-similarity. Through the analysis of the uncertainty of the end point of the bearing’s RUL and the prediction process, not only did it verify the high adaptability of fGPm in simulating complex degradation processes but also the criteria for judging self-similarity, and LRD characteristics were established. The case study mainly proves the validity of the theory, providing an effective analytical tool for a deeper understanding of the degradation mechanism. Full article