Search Results (1,131)

Falls among older adults are a major public health concern, yet collecting large-scale real fall data for radar-based detection is ethically and practically difficult. This study presents a controlled simulation-to-real feasibility study for trip-fall detection using continuous-wave (CW) Doppler radar. The method couples a physics-informed kinematic trip-fall model with a CW radar observation model to synthesize I/Q signals and Doppler spectrograms, while domain randomization varies body size, fall direction, initial velocity, sensor placement, aspect angle, amplitude, and noise. Synthetic walking and respiration data were also generated for controlled three-class classification among trip fall, walking, and seated quiet breathing. In Experiment I, the simulated spectrograms reproduced the dominant time–frequency characteristics of measured enacted trip-fall signals acquired with a 24 GHz CW radar; quantitative similarity analysis yielded a mean SSIM of 0.782 and a Doppler-ridge MAE of 24.6 Hz across five fall directions. In Experiment II, a ResNet-18 classifier trained only on simulated spectrograms achieved a macro-F1 score of 0.912 [95% CI: 0.883–0.936] on measured data from ten participants, three start locations, and eight directions. Under the present controlled evaluation, this exceeded the available real-data-trained baseline of 0.748 [95% CI: 0.691–0.805] (paired subject-level permutation test, $p=0.006$). These findings suggest that physics-informed simulation with domain randomization can reduce dependence on real trip-fall samples under limited-data conditions. The results do not establish robustness to other fall morphologies, fall-like activities of daily living, different environments, different radar devices, or embedded deployment. Full article

Background: The progression of orthopedic diseases such as rheumatism and tendinopathies can be affected by metabolic conditions. Recent research suggests that changes in nutrition may affect symptom severity and recovery in orthopedic diseases. This study aims to explore whether the therapeutic efficacy of exercise therapy can be enhanced by adding nutritional advice in Achilles tendinopathy. Method: This 12-week randomized controlled pilot trial enrolled 16 adult patients (age 39.38 ± 9.46 years) suffering from chronic Achilles tendinopathy (≥3 months of symptoms, Victorian Institute of Sport Assessment—Achilles (VISA-A) scores below 80). Participants were randomly assigned to either the experimental group, receiving nutritional advice combined with home-based high-load tendon exercise training, or the control group, receiving exercise training alone. Outcomes included VISA-A scores, visual analog scale (VAS) pain assessments, body composition, and blood markers, analyzed through both intention-to-treat and per-protocol approaches. Results: Baseline characteristics showed no significant intergroup differences. From pre to post VISA-A scores increased from 58.06 ± 12.06 to 74.51 ± 17.81 points (p = 0.005) and VAS decreased from 3.19 ± 2.32 to 1.55 ± 1.66 points (p = 0.048) across all participants. Within-group analysis demonstrated a significant VISA-A improvement (63.13 ± 10.08 to 81.39 ± 13.13 points) (p = 0.013) in the experimental group only. The control group experienced a significant increase of 6.74 ± 12.26 mmHg in diastolic blood pressure (p = 0.046). Conclusions: The exercise intervention improved functional and pain outcomes in all participants, with better VISA-A outcomes in the experimental group. However, a clearly superior effect of the combined strategy compared with exercise alone could not be detected in this pilot study with a limited sample size. Full article

Background: The Closed Kinetic Chain Upper Extremity Stability Test (CKCUEST) is used to assess upper-extremity performance in a closed kinetic chain position. The standard hand placement of 36 inches may favor individuals with larger body dimensions. Methods: Sixty-five healthy adults (44 males, 21 females; 18–33 years) performed the CKCUEST under two conditions: the standard position and a modified position with hand distance set at 50% of arm span. The mean number of touches, standard score, and power score were calculated for each condition. Reliability and the effects of sex and body composition were also examined. Results: Performance was significantly better in the modified position for mean touches (24.4 ± 4.47 vs. 23.0 ± 4.62, p = 0.001), standard score (0.4 ± 0.07 vs. 0.3 ± 0.06, p = 0.001), and power (81.1 ± 18.29 vs. 77.1 ± 22.00, p = 0.001). Both conditions showed excellent reliability (ICC = 0.944–0.946). Females performed significantly fewer touches than males in the standard position (p = 0.001), whereas this difference was not significant in the modified position. Several anthropometric and body composition variables significantly predicted performance. Conclusions: An arm-span-adjusted hand position improves CKCUEST performance and may provide a fairer assessment across individuals with different body dimensions. Full article

Background: Computed tomography-based body composition assessment enables the quantification of clinically relevant prognostic conditions such as sarcopenia, myosteatosis, and visceral adiposity; the manual segmentation process limits its routine implementation in clinical practice. We developed FocusedON-BC, an automated deep learning tool for opportunistic screening of skeletal muscle (SM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) across the T12–L5 range; Methods: Validated on a multicenter cohort of 518 patients (3280 slices) with diverse body mass index (12.7–47.7 kg/m²) from different computed tomography manufacturers. Performance was benchmarked against expert segmentation using the Dice coefficient score (DSC) and the mean absolute error (MAE); Results: FocusedON-BC achieved expert-level accuracy: mean DSC was $0.974\pm 0.010$ (SM), $0.959\pm 0.032$ (VAT), and $0.986\pm 0.014$ (SAT). Clinical MAE remained <5% for all compartments. Performance was robust, independent of body mass index and computed tomography scanner model. Qualitative assessment confirmed the tool’s capability to isolate intermuscular adipose tissue for radiodensity analysis; Conclusions: FocusedON-BC provides accurate, vendor-agnostic body composition and muscle quality analysis. Its reliability across diverse phenotypes supports implementation for routine nutritional screening. Full article

Generally, ixodid ticks are important ectoparasites of cattle, including those in smallholder production systems in the Eastern Cape Province, where varying environmental conditions influence their distribution and feeding behaviour. This study investigated ecological variation in tick species composition and attachment site preferences in Bos taurus cattle across coastal and inland areas of the Eastern Cape Province, South Africa. Ticks were collected from cattle of different ages, sexes, breeds, and body condition scores. Sampling was conducted prior to acaricide treatment, and ticks were manually removed from standard predilection sites on each animal. Specimens were preserved in 70% ethanol and later identified morphologically at the Döhne Agricultural Development Institute Laboratory. Data were analysed using generalized linear mixed models with a negative binomial distribution to assess the effects of host and environmental factors on tick burden. Descriptive statistics were used to summarise species composition, while inferential statistics were applied to evaluate differences in infestation levels across host-related and spatial variables. A total of 3250 adult ixodid ticks were collected from cattle. The most prevalent species was Rhipicephalus (Boophilus) decoloratus (39.7%), followed by Rhipicephalus evertsi evertsi (21.0%), Amblyomma hebraeum (17.7%), Hyalomma rufipes (5.8%), Ixodes pilosus (5.8%), Rhipicephalus (Boophilus) microplus (4.5%), R. appendiculatus (3.0%), and R. simus (2.5%). Tick burdens were significantly higher in the coastal zone (85 ± 7.5) than in semi-arid inland areas (62 ± 5.9). Attachment site analysis showed significantly higher infestation levels (p < 0.05) on the udder/scrotum compared to other body regions. This study provides baseline information on tick species composition and attachment site ecology in cattle, contributing to improved understanding of host–parasite interactions and supporting the development of targeted, region-specific tick control strategies. Full article

Background/Objectives: Opioids are widely used for perioperative analgesia in small animal practice; however, their administration is associated with dose-dependent adverse effects, regulatory restrictions, and increasing stewardship concerns. Evidence supporting opioid-free anesthesia protocols in cats remains limited. The aim of this study was to evaluate the analgesic efficacy of a dexmedetomidine constant rate infusion as part of an opioid-free anesthetic protocol in cats undergoing ovariectomy, as well as to determine its effect on intraoperative opioid requirements. Methods: This prospective, randomized clinical trial included forty healthy female cats (mean age 1.9 ± 0.7 years; mean body weight 3.5 ± 0.6 kg; body condition score 5 [range 4–5]/9) undergoing elective ovariectomy. Cats were randomly assigned to receive either a dexmedetomidine constant rate infusion (CRI) at 1 mcg kg⁻¹ h⁻¹ (GR-E) or a control protocol without dexmedetomidine CRI (GR-C). Anesthesia was induced and maintained using standardized protocols in both groups. Intraoperative fentanyl (5 mcg kg⁻¹ IV) was administered as rescue analgesia when two of three physiological parameters (heart rate, respiratory rate, mean arterial pressure) increased by ≥20% compared to the previous recorded value. Cardiovascular and respiratory variables, rescue opioid requirements, and recovery quality were recorded. Results: The requirement for rescue analgesia was significantly lower in GR-E (4/20; 20%) compared to GR-C (13/20; 65%) (p = 0.0097). Cats receiving dexmedetomidine showed greater intraoperative cardiovascular stability during ovarian pedicle manipulation. No clinically relevant adverse effects were observed. Recovery was smooth in all cats, and all resumed feeding within eight hours postoperatively. Conclusions: A low-dose dexmedetomidine CRI effectively reduced intraoperative opioid requirements during feline ovariectomy while maintaining physiological stability and satisfactory recovery. This opioid-free anesthetic protocol represents a safe and clinically applicable alternative in settings where opioid use is restricted or limited. Full article

An AI video–based assessment system is used to analyze the volleyball forearm pass under continuous wall-volley conditions in this study. A single 120 frames per second (FPS) high-speed camera captures the athlete from a rear-oblique view. A laptop executes a You Only Look Once (YOLO)-based pipeline to detect the ball and human keypoints, including the shoulders, elbows, wrists, hips, knees, and ankles. From the joint angles and ball–body relative positions, three cues are quantified. The first cue is the ready posture, characterized by straight arms, downward wrist flexion, an upper arm–trunk angle of approximately 90°, and a forward-leaning center of mass. The second cue is the ball–contact point located posterior to the wrist joint. The third cue is the variation in the center of mass synchronized with the rhythm of the ball. Five athletes performed ten trials, and the predictions were compared against manual annotations, achieving greater than 95% accuracy in criterion attainment. The system outputs criterion scores and key frames to provide immediate feedback. Deployment challenges, including occlusion, viewpoint, and illumination, are discussed, along with potential extensions such as multi-camera fusion and temporal tracking. Full article

Background: Microstructural abnormalities of the corpus callosum (CC) are a consistent finding in schizophrenia, yet conventional diffusion tensor imaging (DTI) metrics provide limited biological specificity. Neurite orientation dispersion and density imaging (NODDI) can disentangle the neurite density index (NDI) and the orientation dispersion index (ODI), providing indirect, model-based markers of white matter microstructure in vivo. Methods: We applied NODDI to diffusion-weighted MRI data in patients with first-episode schizophrenia (FES) and matched healthy controls (HCs). The CC was used as a mask and subdivided into the genu (GCC), body (BCC), and splenium (SCC). Group differences in z-scores of the NDI and ODI were assessed using voxel-wise statistics within the CC and region of interest (ROI) analyses in the GCC, BCC, and SCC, controlling for age and sex. Associations between NODDI metrics and clinical symptoms were examined using the Positive and Negative Syndrome Scale (PANSS). Results: FES patients showed a significantly increased ODI in portions of the GCC, BCC, and SCC, as well as region-specific NDI alterations, with decreased NDI in parts of the SCC and increased NDI in sub-regions of the GCC/BCC (voxel-wise p < 0.05, FWE-corrected). ROI analyses confirmed a significant reduction in NDI z-scores in the SCC in FES patients compared with HCs (p = 0.009), whereas the ODI z-scores in the SCC did not differ significantly between groups (p = 0.124). Despite the absence of group-level ODI differences in the SCC, the SCC ODI was positively correlated with PANSS negative symptom scores in FES patients (r = 0.554, p = 0.002) and was also positively correlated with PANSS total scores in FES (r = 0.457, p = 0.014). This association remained significant in the region of the SCC after regressing out NDI from ODI (residual z_ODI), which was correlated with PANSS negative scores (r = 0.503, p = 0.006) and PANSS total scores (r = 0.474, p = 0.011), and the ODI/NDI ratio in the SCC was also correlated with negative symptom severity (r = 0.457, p = 0.014). Conclusions: Our findings suggest that, in the SCC, negative symptoms in schizophrenia are linked to altered neurite orientation dispersion under conditions of reduced neurite density. The dissociation between group-level NDI and ODI effects and their distinct relationship with psychopathology highlights the value of composite microstructural indices (e.g., residual z_ODI, ODI/NDI) for capturing clinically relevant white matter abnormalities. Full article

Postbiotics are an emerging ingredient class which have promising potential to support canine gut function by delivering beneficial microbial compounds directly to the gut. We tested a canine immune health postbiotic (CIHP) in a randomized, double-blind, placebo-controlled study of twenty colony-housed dogs (ten per group) selected for having consistently loose stools but with no diagnosed gastrointestinal disease. After a 5-day wash-in and 5-day baseline, dogs received 12 mg/kg body weight per day of CIHP or a placebo for 28 days mixed with their normal dry diet. The primary outcome was stool consistency (Waltham fecal score), measured on Days 0, 14, and 28; secondary outcomes included fecal gut-health biomarkers and fecal microbiome composition from 16S rRNA sequencing, measured on Days 0 and 28. CIHP improved stool quality (p-value = 0.03), while placebo did not (p-value = 0.5), and CIHP showed a trend toward increasing the odds of individual dogs showing improved fecal scores by Day 28 compared to placebo (p-value = 0.07). Microbiome profiling revealed broader community remodeling with CIHP than the placebo (16 taxa significantly shifted with CIHP vs. 1 with the placebo), consistent with stool quality being impacted by both gastrointestinal and gut microbiome functions. Fecal biomarkers that reflect gut health (pH, dry matter, short-chain fatty acids, dysbiosis index, calprotectin) were within reference ranges at baseline and remained stable in both groups, indicating benefits occurred within a normal physiological window. Together, these findings show that CIHP can improve stool consistency while reshaping the gut microbiome in otherwise healthy dogs prone to loose stools. Future studies in home-environment dogs across breeds, ages, and living conditions are needed to generalize these findings to the broader canine population. Full article

Nowadays, it is central to generate innovations that convert agricultural by-products and food waste into valuable animal products while promoting the long-term resilience and sustainability of vulnerable animal production systems. Nutraceuticals (i.e., ‘nutrition + pharmaceutical’) are derived from foods that offer health benefits. In animal production, nutraceutical supplementation with Withania somnifera and Lepidium meyenii has shown positive effects on the endocrine, cardiopulmonary, and central nervous systems. We aimed to evaluate the possible impact of nutraceutical supplementation on rams fed a diet based on surplus feed from a highly industrialized Holstein cow production system, on corporal (live weight [LW], kg; body condition score [BCS], units), metabolic (blood glucose [GLU], mg dL⁻¹; serum protein [PRO], g 100 mL⁻¹), and sexual–testicular variables [sexual odor (ODOR, units); scrotal circumference (SC, cm); testicular volumes (TVOL, cm³); and estimated daily sperm production (EDSP, millions)]. Black Belly rams (n = 12; LW = 70.36 ± 1.2 kg; BCS = 2.96 ± 0.03 units; age = 3.8 ± 0.2 years; 25° N) were divided into 3 experimental groups: (1) WITH, supplemented with Withania somnifera (400 mg kg⁻¹ LW d⁻¹); (2) LEPI, supplemented with Lepidium meyenii (400 mg kg⁻¹ LW d⁻¹); and (3) CONT, not supplemented. The variables LW, BCS, GLU, PRO, and SC, as well as some components of TVOL, did not differ (p > 0.05) among the main effects of treatment or time; only ODOR, right transverse testicular diameter, and total testicular volume differed among treatments, generally favoring the WITH group. Furthermore, the TRT × T interaction demonstrated superior performance (p < 0.05) in the WITH group, with the largest values for LW, GLU, PRO, ODOR, SC, width of the right testicle, volume of the right testicle, total testicular volume, and EDSP. From a productive–reproductive perspective, the Robin Hood Effect—through the use of rejected dairy cattle rations as the base diet for rams—and supplemented with nutraceuticals (WITH and LEPI), emerges as a viable alternative to improve not only the productive–reproductive performance of Black Belly rams, but also other productive and socioeconomic outcomes; the latter contributing to the strengthening of producer and family well-being. Full article

Turmeric has a long history of use as a colorant and flavoring agent. Turmeric extract (TE) is a feed additive containing at least 90% total curcuminoids, comprising mainly curcumin, desmethoxycurcumin and bisdemethoxycurcumin. The published antioxidant effects of TE in humans have sparked interest and feeding studies in companion animals. Studies describing the feeding of TE to cats are scarce and do not provide adequate toxicology data; regulatory approval is required to allow use of TE as a nutritional antioxidant in pet food. The current study describes a safety test of TE in cats. Control cats were fed a standard extruded dry diet whilst two groups of test cats were fed the same diet supplemented with two different levels of TE for four months. Physical examination, body weight, body condition score, food intake, fecal score, monitoring of adverse effects (vomiting, diarrhea, clinical signs), complete blood count, and blood biochemistry (particularly liver enzymes) were used to monitor toxicity signs. The lack of statistically significant effects of clinical or toxicological concern concludes that feeding TE to cats at a dietary level providing up to 1040 ppm total curcuminoids is safe. This allows future application of this ingredient in cat food as a nutritional antioxidant. Full article

Background and Objectives: Pregnancy causes various physiological and hormonal changes that disrupt sleep architecture and modify respiratory patterns, increasing the risk of sleep-related breathing disorders (SBDs) such as obstructive sleep apnea (OSA) and potentially exacerbating pre-existing conditions. These disorders have been linked to adverse maternal and fetal outcomes. However, current screening tools remain inadequate, and data, including from Portugal, remain limited. This study aimed to assess the prevalence of SBD symptoms suggestive of sleep-disordered breathing during pregnancy, characterize the population, and explore associations with demographic and anthropometric parameters. Materials and Methods: A prospective observational study was conducted from July to December 2024 at Hospital da Luz Lisboa, involving pregnant women ≥ 18 years attending routine consultations. Participants completed a structured questionnaire that assessed demographic and anthropometric data, comorbidities, ten SBD symptoms, and the Epworth Sleepiness Scale (ESS). Results: The cohort included 289 participants, with a mean age of 34.4 years and pre-pregnancy body mass index (BMI) of 23.6 kg/m². On average, women reported 3.1 SBD symptoms, with fatigue (65.4%), memory/concentration impairment (52.2%), and non-restorative sleep (50.5%) being the most common. Excessive daytime sleepiness (ESS >10) was present in 22.8% of the population. Snoring was significantly associated with older age and higher BMI (p = 0.0009 and p < 0.0001, respectively). Both the number of symptoms and ESS scores tended to increase with gestational age, particularly in the third trimester. Women with diabetes had higher odds of reporting snoring, nocturnal dyspnea, and witnessed apneas, with odds ratios of 4.65, 8.77, and 11.38, respectively. Conclusions: SBD symptoms and daytime sleepiness are highly prevalent in pregnancy and typically increase with advancing gestation. These findings emphasize the need for improved clinical strategies to enable early identification and management of SBD in pregnant women, thereby reducing maternal-fetal complications. Full article

Background/Objectives: Pediatric obesity is a public health epidemic in the United States and in many countries worldwide. Due to the interrelatedness of obesity and toxic stress, mindfulness is a promising practice to support healthful eating behaviors and combat stress in the management of this condition. In this pilot study we evaluated the acceptability and feasibility of implementing a brief mindfulness-based program for pediatric patients seeking treatment for overweight and obesity, with an assessment of exploratory outcomes. Methods: Nineteen children (ages 8–17 with body mass indices (BMIs) ≥ the 85th percentile) and caregiver dyads (n = 19) were recruited from a multidisciplinary pediatric weight management clinic. Four thirty-minute psychoeducational mindfulness-based sessions were provided via telehealth. Qualitative feedback was sought during and after program completion. Child and caregiver mindful eating and general mindfulness measures were collected from participant dyads at baseline, and one month and three months after program completion. Results: Qualitative program feedback from participants was generally positive. Session attendance rates were high (89%), with most participants highly engaged during sessions and the follow-up clinic visits. An analysis of exploratory measures data revealed no significant changes in child or caregiver dyad mindful eating or general mindfulness scores at one month (n = 9) or three months (n = 7) post-program completion compared to baseline (n = 10). Conclusions: This pilot, mindfulness-based program was feasible and acceptable to implement as a scalable behavioral intervention in long-term pediatric obesity treatment. Study of a larger, controlled sample is needed to determine the impact of program participation on mindful eating and general mindfulness, along with clinical obesity-related outcomes, in the management of pediatric obesity. Full article

Background and objectives: Intolerance of uncertainty (IU) is a well-established transdiagnostic process in anxiety (ANX) and major depressive disorder (MDD), and has been increasingly implicated in anorexia nervosa (AN). However, most previous research including patients with AN has relied on total or subscale scores from eating disorder measures, which obscures how specific eating attitudes and body dissatisfaction symptoms relate to distinct facets of IU. The primary objective of the present study was to characterize item-level networks linking eating attitudes, body dissatisfaction, and IU in a pooled clinical mental health sample, alongside a control group (CG). Methods: Data were drawn from a sample including individuals with symptoms related to AN (N = 105), MDD (N = 97), and ANX (N = 240), a comorbid group (N = 84) with symptoms of two or more of these conditions, and a CG (N = 842). Separate item-level networks were estimated for clinical and control groups, and network structure and centrality indices were compared. Results: Network analyses revealed distinct organizational patterns between the clinical and control subsamples. Although both networks showed identical diameters, the clinical network exhibited a shorter average path length and higher clustering, indicating stronger local connectivity, whereas the control network showed higher modularity. In the clinical subsample, nodes related to binge eating, post-eating guilt, and IU emerged as the most central and acted as key connectors between clusters. In contrast, the control network displayed a more distributed centrality pattern, suggesting a more integrated and homogeneous network organization. Conclusions: This study provides new evidence to refine our understanding of how IU relates to eating attitudes and body dissatisfaction across diagnostic mental health boundaries. Identifying highly influential psychopathological symptoms across eating, mood, and anxiety disorders, as well as bridge nodes linking these mental health domains, is important for understanding transdiagnostic symptom dynamics. These insights may inform the development of more sensitive screening and diagnostic tools, as well as targeted intervention points to support more personalized and mechanism-focused treatments. Full article

Traditional sleep staging studies typically rely on signals collected using contact-based sensors, which may interfere with the natural sleep state of subjects and thus affect the authenticity and reliability of the recorded data. To address this limitation, this study proposes an automatic sleep staging method based on non-contact single-channel ballistocardiogram (BCG) signals. First, band-pass filtering is applied to the raw BCG signals to separate the heart rate and respiratory components. Heart rate variability (HRV) and respiratory rate variability (RRV) features are then extracted, and mutual information is used to select key feature subsets that exhibit strong correlations with different sleep stages. Considering the complexity and prominent temporal characteristics of real-world sleep data, a temporal modeling network named TLA-SleepNet is constructed to enhance the model’s capability in capturing complex sequential features and improving robustness. Experiments conducted on 10 independent sleep recordings containing a total of 10,614 sleep epochs demonstrate that, under subject non-independent testing conditions with five-fold cross-validation, the proposed method achieves an accuracy of 87.1% in the sleep staging task, with precision, kappa coefficient, and F1-score reaching 92.4%, 81.9%, and 88.7%, respectively. The results indicate that the proposed method can achieve a reliable sleep staging performance without direct contact between sensors and the human body, providing a feasible solution for non-contact sleep monitoring in home-based and mobile healthcare applications. Full article