Search Results (8,197)

Automated pig-welfare monitoring needs scalable, non-invasive signals that work across ages and individuals. A key methodological contribution of this study is the use of subject-wise validation, which ensures generalization to unseen animals and prevents inflated accuracy caused by growth-related and individual ‘voice’ differences. Vocalizations can help, but growth and individual “voice” differences can confound distress patterns and overstate accuracy without subject-wise validation. In our study, we explicitly accounted for individual variability by including animal identity as a random effect in mixed models and by using grouped cross-validation, where models were tested only on pigs not seen during training. This approach ensures that the reported accuracy reflects generalization across different individuals rather than memorization of specific vocal signatures. We analyzed 2221 vocal samples from 40 pigs (20 males, 20 females) recorded across four growth phases (farrowing, nursery, growing, finishing) under six conditions (pain, hunger, thirst, cold stress, heat stress, normal). Acoustic features extracted in Praat included energy, duration, intensity, pitch, and formants (F1–F4). Using blockwise variance decomposition, we quantified contributions of distress exposure, growth phase, and sex, and estimated the additional variance explained by animal identity. Distress exposure dominated intensity and spectral traits, particularly Formant 2, whereas the growth phase produced systematic shifts in duration and pitch. Animal identity added a modest but consistent increment in explained variance (~+0.02–0.03 R² beyond sex, phase, and distress). For prediction, we used 5-fold cross-validation grouped by animal. A Random Forest achieved a modest balanced accuracy of 0.609 and macro-F1 of 0.597; pain was most separable (recall 0.825), while other states showed moderate recall, indicating overlap. These results support hierarchical acoustic encoding of distress and establish a benchmark for precision welfare monitoring. Furthermore, they highlight that resolving complex physiological overlaps, such as heat stress and resource competition, requires a shift from unimodal acoustic models to multimodal Precision Livestock Farming (PLF) systems that integrate bioacoustics with continuous environmental and behavioral data streams. Full article

This paper presents a novel approach for the early detection of cattle diseases. We present a uniquely integrated image classification-based project for real-time cattle disease diagnosis that combines image classification models to identify diseases accurately; a seamless, user-friendly dashboard for real-time monitoring with data visualization and instant predictions; and a mobile application that acts as a data source. The mobile application enables real-time collection of farmer and cattle-related data, including age, number of cattle, vaccination cycles, cattle images, and location metadata. Our AI-based cattle health monitoring project enables the early, efficient, scalable, and timely detection of Lumpy Skin Disease (LSD) and Foot and Mouth Disease (FMD) in cattle with high accuracy. A dataset of approximately 1600 LSD/non-LSD images and 840 FMD images was used to train multiple classification networks such as EfficientNetB0, ResNet50, VGG16, EfficientNetV2B0, and EfficientNetV2S, along with a soft-voting ensemble at inference. The proposed framework achieved a maximum testing accuracy of 98.36% for LSD classification and 99.84% for FMD classification under internal validation. These results indicate strong disease recognition capability, with ensemble-based prediction improving robustness, particularly for FMD classification. The proposed system enables practical, early, efficient, and scalable applications of AI research to improve livestock health monitoring and support the early prevention of widespread disease outbreaks. Full article

Background: Long COVID presents a novel and emerging public health challenge. As the first point of contact, general practitioners (GPs) play a key role in diagnosing and coordinating the care of patients presenting with post-acute sequelae of COVID-19 (PASC), despite a lack of experience. This study aimed to identify the main difficulties encountered by GPs in Franche-Comté, France, in managing adult outpatients with long COVID. Methods: We conducted a cross-sectional survey using an anonymous online questionnaire, which contained 21 questions and was distributed to GPs in Franche-Comté, France. The survey assessed definition, diagnostic and therapeutic challenges in managing long COVID. Results: Among the 410 questionnaires distributed, 90 general practitioners (GPs) responded (response rate: 21.9%). The mean age of participants was 34 ± 10 years, and 64.4% were women (n = 58). Regarding knowledge of long COVID, three participants (3.3%) did not recognize it as a distinct clinical entity, while more than half (58.9%, n = 53) reported insufficient knowledge. The main challenges identified were therapeutic management (76.7%, n = 69) and diagnosis (75.6%, n = 68). Only 4.5% of respondents (n = 4) reported no difficulty in defining post-acute sequelae of SARS-CoV-2 infection (PASC). The most frequently reported diagnostic difficulty was distinguishing long COVID from differential diagnoses (93.3%, n = 83/89), particularly fibromyalgia (94.3%, n = 83/88). Only 37.1% of participants (n = 33/89) reported actively following up patients with PASC. During initial management, the main challenge was the difficulty in objectively assessing patients’ complaints using available diagnostic tools (80.7%, n = 67/83). Additionally, a large majority of GPs reported difficulties in addressing patients’ questions (86.7%, n = 72/83) and managing associated anxiety disorders (75.9%, n = 63/83). Conclusions: These findings highlight the immediate need to enhance GP training in Franche-Comté, France, in dealing with long COVID. Improvements such as harmonizing long COVID definitions, testing diagnoses, and strengthening interdisciplinary coordination are essential to provide coherent and patient-centered care for this disease. Full article

Background: Stroke-related impairments in balance and gait are among the most common and disabling sequelae, significantly limiting functional independence and increasing fall risk. This study investigated the effects of short-term dynamic balance training on balance and gait in post-stroke hemiplegic patients. Methods: In this randomized controlled pilot trial, 16 post-stroke hemiplegic patients (intervention group, n = 8; control group, n = 8; mean age ≈ 58 years; predominantly male) were assigned to either a control group receiving conventional rehabilitation or an intervention group receiving additional daily dynamic balance training using the Prokin-252 system (30 min/day, 5 days/week, 3 weeks). Primary outcome measures included balance performance (Berg Balance Scale, mini-BESTest, single-leg stance), center-of-pressure (COP) parameters, gait performance (Timed Up and Go Test), and surface electromyography (sEMG) activity. Results: Following the intervention, both groups demonstrated improvements; however, the intervention group showed significantly greater gains in balance and gait outcomes. Specifically, Berg Balance Scale scores improved significantly (p = 0.012), as did mini-BESTest scores (p = 0.004). Eyes-closed single-leg stance time increased significantly on both sides (p < 0.05). COP analysis revealed reductions in sway area and trajectory length under challenging conditions. sEMG analysis indicated increased activation of the affected-side gluteus medius. In terms of gait performance, the intervention group demonstrated greater improvements in Timed Up and Go Test performance (p = 0.002), dual-task walking, and gait phase symmetry. Conclusions: Supplementing conventional rehabilitation with dynamic balance training effectively enhances balance and gait function in post-stroke patients, potentially through improved neuromuscular control. The integration of sensor-based COP analysis and sEMG provides additional mechanistic insight into rehabilitation outcomes. Full article

Background/Objectives: High-quality cardiopulmonary resuscitation (CPR) is essential for improving clinical outcomes in patients experiencing cardiac arrest. Feedback devices designed to guide CPR must offer real-time feedback on chest compression quality for use by both medical personnel and laypersons. To describe the impact of using an infrared-based device to provide feedback on chest compression quality during CPR performed by healthcare personnel. Methods: A before-and-after study conducted in a simulated hospital from February 2019 to February 2020 evaluated the difference in the percentage of adequate chest compressions in depth and rate. This was assessed by comparing the number of adequate compressions to the total performed in one minute, both with and without the use of a feedback device. Results: A total of 90 participants were recruited, with an average age of 31.2 years (SD: 8.86), of which 60% (54/90) were women. In infants and schoolchildren/adults, high-quality compressions improved by 66% (85% vs. 19%; p < 0.001) and 54% (79% vs. 25%; p < 0.001), respectively, when guided by the GA compared to the control group. In participants without training and experience in CPR, the use of the Guardian Angel achieved high-quality compressions of 45% (10/22) and 66% (25/42), respectively, when evaluating depth for the schoolchildren/adults group. The use of the device during CPR, even in situations of moderate or severe fatigue, resulted in an improvement in high-quality compressions in terms of frequency, reaching 73% (16/22) in infants and 68% (15/22) in schoolchildren/adults. Conclusions: The Guardian Angel improves both the frequency and depth of compressions in participants without previous CPR experience or training. Additionally, the device demonstrated notable improvements in compression frequency, even in situations of moderate or severe fatigue. Full article

Background/Objectives: Institutionalized aging is associated with severe physical deconditioning, a high risk of falls, and a pervasive fear of falling. Physical exercise mitigates these factors, but the comparative efficacy of different training methodologies in this specific population remains unclear. The objective of this study was to compare the impact of a multicomponent exercise program versus a dual-task (cognitive-motor) training program on reducing fall risk, decreasing the fear of falling, and improving physical performance in institutionalized older adults. Methods: A randomized, parallel group controlled trial involving 21 older adults residing in a nursing home (Mean age = 83.67 ± 6.17 years). Participants were allocated to either a Multicomponent Group (n = 11) or a Dual-Task Group (n = 10) for a 12-week intervention (2 sessions/week). Fall risk, fear of falling, and global physical performance were assessed at baseline and post-intervention. Results: No significant improvements were observed in fall risk assessment execution time for either group. The Multicomponent Group showed a significant reduction in the fear of falling (−29.1%; 95% CI [−17.27, −1.27], p = 0.025) and a clinically significant improvement in physical performance (+40.9%; 95% CI [1.11, 3.43], p < 0.001), supported by large time effects (FES-I: F(1, 19) = 4.52, η²p = 0.192; SPPB: F(1, 19) = 13.68, η²p = 0.419). The Dual-Task Group achieved no significant changes in these dimensions. Furthermore, a marginally significant time-by-group interaction was observed for physical performance, favoring the multicomponent approach (F(1, 19) = 3.83, p = 0.065, η²p = 0.168 [large effect]). Conclusions: Multicomponent training proved superior in improving physical performance and reducing the fear of falling. In a frail, institutionalized population, the attentional cost demanded by dual-task training appears to limit the physical and psychological benefits of exercise. Full article

Introduction: Increasing rates of youth suicide are a growing concern worldwide. The single highest risk factor for suicide is a prior suicide attempt; however, knowledge around the broader factors that may increase the likelihood of the initial suicide attempt is limited. Understanding these risk factors is critical for clinicians to inform the development of early intervention strategies. This study examines the characteristics of a specific cohort of young people attending a tertiary mental health service in Melbourne, Victoria, following a suicide attempt or with persistent suicidal ideation. Method: A file audit of all young people attending the service was conducted from the commencement of the new service in 2022 through to the end of 2024. One hundred and seventy-one files were examined for specific data, including items such as age, gender, gender diversity, socio-economic factors and neurodivergence. Results: One-sample z proportion tests showed significantly higher proportions of young people who were LGBTIQIA+, transgender, gender diverse or non-binary (TGDNB), neurodivergent, not engaged in employment, education or training (NEET), and international students in the clinical cohort compared with the Australian population. Almost one-fifth of the cohort reported a history of trauma. Discussion: The study provides insight into characteristics observed among a cohort of suicidal young people. Findings highlight that young people from several marginalised groups were more frequently observed in this clinical cohort. The findings have implications for youth mental health services, supporting earlier identification of potential factors associated with suicidality so that prevention strategies can be implemented in a timely manner. Full article

Vitamin D insufficiency is highly prevalent in athletic populations residing at northern latitudes, particularly among young athletes training predominantly indoors. The impact of vitamin D on musculoskeletal health is well-established, while its influence on physical performance is not entirely clear. The aim of this study was to determine the prevalence of vitamin D insufficiency in Estonian female adolescent athletes and to examine associations of serum 25-hydroxyvitamin D [25(OH)D] with body composition, energy intake, physical performance and ferritin. Seventy-three female athletes aged 14–18 years participated. Body composition was assessed by dual-energy X-ray absorptiometry; physical performance by peak oxygen consumption (VO₂peak/kg) and countermovement jumps; dietary intake was estimated using repeated 24 h recalls; and fasting blood samples were analyzed for 25(OH)D and ferritin. The mean serum 25(OH)D concentration was 67.6 ± 21.4 nmol.L⁻¹ and ranged from 27.4 to 118.0 nmol.L⁻¹. Vitamin D insufficiency (25(OH)D < 75 nmol.L⁻¹) was present in 67% of participants, leaving only one-third with sufficient levels. Serum 25(OH)D concentration was positively associated with VO₂peak/kg (r = 0.26; p = 0.043) independent of confounding variables. In conclusion, these findings suggest that vitamin D insufficiency is highly prevalent among Estonian female adolescent athletes, and 25(OH)D concentration is associated with aerobic performance. Full article

Smallholder poultry farming contributes enormously to rural livelihoods, food security, and nutrition in South Africa, yet the poultry industry remains constrained by limited participation and low ICT utilisation. This study investigated the socioeconomic and demographic factors influencing decisions and choices of smallholder poultry farmers towards the adoption of ICT and market engagement in Jozini Local Municipality, KwaZulu-Natal. A cross-sectional research design was used to collect primary data from respondents. Data were collected through face-to-face surveys from 162 participants, who were randomly selected. Descriptive statistics were employed to profile the use and extent of ICT, while the multivariate probit model was used to analyse the determinants of ICT adoption and market engagement. The findings revealed that most farmers own ICT tools such as mobile phones (98.15%), which they mainly use for communication purposes (98.77%) rather than for accessing production and market related information. Smallholder characteristics like age, faming experience, marital status, and household size significantly influenced farmers decisions and choices to adopt ICT and participate in markets. The study recommends improving the traditional extension through digital integration and farmer support by means of training on ICT and formal market linkages. These interventions can significantly market participation and profitability in smallholder poultry farming, stabilising rural economic development. Full article

Background: Weightlifters commonly use upper-extremity high-load training, which encompasses techniques ranging from momentary failure to non-failure. However, little is known about how this training affects posture and core endurance, despite knowing that these factors are risk factors for weightlifting injuries. Therefore, this study aimed to determine the immediate effects of upper-extremity high-load training to momentary failure versus non-failure, using the dumbbell overhead press, on posture and core endurance in recreational collegiate weightlifters. Methods: Fifty recreational weightlifters aged 18–24 with two years of upper extremity resistance training experience were recruited for this study. The participants performed dumbbell overhead press exercises under high-load failure (HL-F) and high-load non-failure (HL-NF) conditions two days after 1RM testing and calculation of the 80% 1RM load. The study analyzed postural changes using photographic data processed in Kinovea, while core endurance was assessed during a prone plank test. Standardized warm-ups, controlled exercise execution, and pre- and post-exercise assessments were conducted to measure core endurance and postural alterations. Results: The thoracic kyphosis angle, together with scapular balance angle and lateral scapular slide distance, increased significantly after HL-F compared to the unloading state, while the craniovertebral angle and prone plank time decreased significantly (p < 0.05). The HL-NF condition showed no statistically significant differences relative to the unloading measurements (p > 0.05). The unloading measurements across testing days were consistent, indicating no carryover effect (p > 0.05). Conclusions: The findings indicate that high-load training to failure adversely affects posture and core endurance, increasing fatigue and potentially increasing the risk of acute injuries. Non-failure training maintains stability, underscoring the importance of strategic program design for achieving optimal performance while minimizing adverse effects. Full article

Background: Regular aerobic exercise during childhood promotes critical physiological adaptations in the cardiovascular and respiratory system. Finswimming, a unique aquatic sport, requires high-intensity demands and specific breathing patterns. The present study aimed to compare respiratory function and cardiorespiratory responses between young male finswimmers and sedentary age-matched non-athletes. Methods: Thirty-two boys aged 8 to 12 years old were stratified into the finswimmers group (FSG, n = 16) and the non-athletes group (NAG, n = 16). Assessments included pulmonary function (spirometry) and respiratory muscle strength (Maximum Inspiratory Pressure, MIP/Maximum Expiratory Pressure, MEP). Exercise capacity was evaluated using the modified shuttle walk test (MSWT). Results: The FSG exhibited significantly higher pulmonary function (Forced Vital Capacity, Forced Expiratory Volume in 1 s, Maximum Voluntary Ventilation; p < 0.05) and superior MIP compared to the NAG (105.3 ± 24.8 versus 87.3 ± 24.7 cmH₂O; p = 0.022). During the MSWT, FSG covered substantially greater distances (746.6 ± 97.2 versus 591.1 ± 86.4 m; p < 0.001) with lower levels of leg fatigue (Borg 0–10) (0.53 ± 0.39 versus 2.13 ± 1.93; p = 0.004) and demonstrated lower heart rate recovery time (4.47 ± 0.68 versus 5.75 ± 0.68 min; p < 0.001) compared to NAG. At the iso-level (8th level of MSWT), FSG scored lower levels of leg fatigue (0.13 ± 0.12 versus 2.02 ± 2.0; p = 0.001) compared to NAG, indicating better peripheral oxygen % saturation (100 ± 0.0 versus 98.14 ± 1.16; p < 0.001). Conclusions: Systematic exercise training enhances profound cardiorespiratory and peripheral muscle adaptations in children. Enhanced cardiorespiratory function allows young athletes to achieve higher workloads and recover faster than sedentary peers, highlighting the sport’s role in establishing a robust cardiorespiratory fitness. Full article

Eye movements are difficult to observe and replicate, making them a promising yet understudied modality for behavioral biometrics. This study is the first to examine the feasibility of using eye movement patterns during manga reading as a biometric identifier, leveraging the medium’s rich behavioral data from diverse reading behaviors. Eye movement data from 59 participants were recorded while they read two manga works on a screen. A comprehensive set of gaze features was extracted and evaluated using five machine learning classifiers, among which Random Forest (RF) consistently achieved the best performance. Under constrained experimental conditions, the RF classifier achieved a Rank-1 identification rate of 95.0% and an equal error rate (EER) of 1.9%. Furthermore, this study systematically investigated two critical challenges for practical deployment: stimulus dependency and template aging. Cross-stimulus evaluation revealed substantial performance degradation when training and testing used different manga works, and template aging analysis over an approximately 90-day interval demonstrated notable declines in identification accuracy. These results provide preliminary evidence supporting the potential of natural reading behaviors for biometric continuous authentication systems while highlighting the need for further research into cross-stimulus generalization and temporal stability. Full article

Background/Objectives: Leishmaniasis is a group of diseases caused by obligate intracellular parasites of the Leishmania genus and is classified by the World Health Organization as a category I neglected tropical disease. Leishmania infantum predominantly affects children under five years of age and shows an increasing incidence of cutaneous and visceral forms. The development of new therapeutic alternatives remains challenging, making in silico approaches valuable for accelerating antileishmanial drug discovery. This study aimed to identify new compounds with potential activity against Leishmania infantum amastigotes using artificial intelligence-based classification models. Methods: A curated database of compounds with reported biological activity was constructed. Molecular representation employed zero- to two-dimensional descriptors calculated with Dragon software (v 7.0.10). Unsupervised k-means cluster analysis was applied to define training and external prediction sets. Supervised models were developed on the WEKA platform using IBk, J48, multilayer perceptron, and sequential minimal optimization algorithms. Model performance was assessed through internal cross-validation and external validation procedures. Results: All models achieved classification accuracies above eighty percent for both training and prediction sets, indicating consistent predictive performance and good generalization ability. The validated models were applied to virtual screening of the DrugBank database and a collection of synthetic compounds. This screening campaign enabled the identification of one hundred twenty compounds with potential activity against the amastigote form of Leishmania infantum. Conclusions: Artificial intelligence-based QSAR models proved to be useful tools for prioritizing antileishmanial candidates. The integration of molecular descriptors, machine learning, and virtual screening offers an efficient strategy for drug discovery. Full article

Background: Cervical cancer remains a leading cause of cancer-related deaths among women in Nigeria. In 2023, the Government of Nigeria, with support from Gavi and partners, introduced the single-dose human papillomavirus (HPV) vaccine through a phased, school-based campaign. The first phase was launched in October 2023 across 16 states, followed by a second phase in May 2024 that expanded coverage to the remaining states and the Federal Capital Territory. This study evaluates the additional impact of a behavioral insights–informed digital intervention, comprising a social media campaign amplified by trained pharmacists serving as local influencers, implemented in 2025 to increase acceptance and uptake of HPV vaccination during routine immunization. Methods: A pre-test/post-test quasi-experimental design with a control group was implemented in three Nigerian states in 2025 to assess the additional impact of a behavioral insights–informed social media campaign designed to strengthen social approval for HPV vaccination, increase awareness of vaccination locations, and reinforce caregivers’ recognition of their adolescent daughters’ desire to be vaccinated. Messages were amplified by trained pharmacists who served as local influencers. Caregivers of adolescent girls aged 9–17 years were recruited online through targeted Facebook and Instagram advertisements during Nigeria’s transition from school-based HPV vaccination campaigns to routine immunization. Caregivers in treatment areas were exposed to geofenced social media advertisements on Facebook and Instagram and pharmacist counseling, while those in control areas were not. Logistic regression models using a difference-in-difference approach estimated the campaign’s effect on HPV vaccination, controlling for caregiver and adolescent characteristics. Additional statistical models assessed the campaign’s impact on caregivers’ motivation and ability—key drivers of behavior according to the Fogg Behavior Model. Results: HPV vaccination increased at a significantly higher rate in the treatment compared to the control area. The adjusted odds of an adolescent girl being vaccinated were 1.48 times higher in the treatment area at follow-up (95% CI: 1.14–1.92). Adjusted marginal effects indicated that exposure to the campaign increased the probability of vaccination by 8.9 percentage points relative to the control group. The rate at which caregivers’ motivation (aOR = 1.31, 95% CI: 1.00–1.70) and ability (knowing where to get vaccinated: aOR = 1.38, 95% CI: 1.07–1.79; ease of vaccination: aOR = 1.59, 95% CI: 1.22–2.06) increased was also higher in the treatment area. There was no relative increase in intervention versus control groups in factual knowledge regarding HPV vaccination. Conclusions: A behavioral insights–informed social media campaign in which pharmacists served as influencers was associated with higher HPV vaccine uptake during routine immunization. The higher rate of vaccination observed in intervention areas was associated with higher rates of caregiver motivation and ability but not with higher rates of caregiver knowledge. These findings are consistent with the potential of behavioral insights–informed digital campaigns to complement routine immunization efforts and improve vaccine uptake in low- and middle-income countries. Full article

Background: Chronic liver disease (CLD) in children requires long-term monitoring. Liver biopsy and transient elastography (TE) are resource-intensive methods that require specialized equipment and trained personnel. Simple indirect fibrosis scores based on routine laboratory parameters offer a potentially cost-effective alternative but have not been systematically evaluated in pediatric populations with diverse CLD etiologies. Objectives: This study aimed to assess the performance of several indirect fibrosis and cirrhosis scores in predicting significant (≥F2) and advanced (≥F3) fibrosis and cirrhosis (F4) in children with CLD using TE as a comparator. Methods: We retrospectively reviewed medical records of children with CLD evaluated at a tertiary center between January 2023 and June 2025. TE results and routine laboratory data were used to calculate fibrosis scores, including APRI, FIB-4, FibroIndex, FORNS, GPR, GUCI, King’s score, and Lok’s index. ROC analyses were performed to assess each score’s ability to discriminate significant fibrosis, advanced fibrosis and cirrhosis. Optimal cut-offs were established using the Youden index. Results: GPR showed the strongest concordance with TE-based fibrosis classification across both fibrosis thresholds, achieving an AUROC of 0.835 for significant fibrosis and a superior 0.917 for advanced fibrosis. FibroIndex and APRI also demonstrated good discriminatory power for advanced disease. Utilizing mathematically optimized cut-offs, GPR (0.45) and APRI (0.84) achieved good negative predictive values (100% and 95%) and sensitivities (100% and 85%) for advanced fibrosis, establishing them as potentially valuable screening tools. For cirrhosis detection (F4), Lok’s Index performed best (AUROC 0.854). Conclusions: In this diverse pediatric cohort, simple indirect scores—particularly GPR, APRI, and FibroIndex—demonstrated the highest concordance relative to TE findings, with negative predictive values up to 100% for GPR. This indicates that they can serve as reliable first-line screening tools when TE is unavailable. While their good negative predictive values allow for the confident exclusion of severe disease—potentially sparing many children from invasive testing—their low positive predictive values limit their role in definitive diagnosis. The systematic failure of adult-derived, age-dependent formulas in this cohort underscores the critical need for specialized pediatric biomarkers. Full article