Search Results (131)

This study investigated the effectiveness of integrating digital tools with origami activities to enhance geometric understanding and creative thinking among kindergarten children in Kuwait. A quasi-experimental pre-test–post-test design involved 60 children (aged from 5 years and 9 months to 6 years), who were randomly assigned to experimental (n = 30) and control (n = 30) groups. The experimental group received a four-week intervention using the Paperama app and paper folding, while the control group followed the standard curriculum. Wilcoxon signed-rank tests showed significant gains in the experimental group’s geometric understanding (Z = 3.82; p < 0.001) and creative thinking (Z = 4.15; p < 0.001), with large effect sizes (r = 0.78). Descriptive analysis further revealed that the experimental group outperformed the control group in post-test scores for geometric understanding (M = 84.06 vs. M = 74.39), reinforcing the intervention’s practical impact. The control group showed no significant improvement (p = 0.16). These findings highlight the value of blended origami instruction in developing spatial reasoning and creativity. This study contributes to early STEAM education and supports the integration of digital tools into kindergarten learning and teacher training. Full article

Background: Sport plays an important role in the health promotion of people with cerebral palsy (CP). However, risk factors may impair sport performance and health in non-ambulatory athletes. Therefore, the aim of the present study was to explore body composition and bone health in a group of world-class Boccia players with CP. Methods: Five BC2-class players with CP, aged 15–42 years old, were assessed using Dual-Energy X-Ray Absorptiometry (DXA) for body composition and bone mineral density (BMD) and content (BMC). The fat mass index (kg/m²) was used to define obesity, and the BMD Z-score used to analyze bone health. A preliminary indicator of sarcopenia was considered using the appendicular lean mass index. Results: Players 1 and 3 exhibited similar body compositions (obesity class 1 and BMD Z-score are below the expected range for age). Player 5 exhibited multiple health-related risk factors. The results regarding youth players (Player 2 and Player 4) should be analyzed with caution. Conclusions: Overall, due to Boccia’s specific characteristics, players may benefit from close monitoring by multidisciplinary teams and supplementary strategies (e.g., strength training, individualized diet plans) to promote quality of life and performance. However, further research is needed to confirm the data, since these preliminary findings do not allow for broader generalizations. Full article

Background: Emerging evidence highlights the role of physical exercise as a non-pharmacological intervention for reducing symptoms of anxiety and depression. While most research has focused on aerobic modalities and chronic training programs, the acute psychological impact of resistance training (RT)—particularly in healthy, active individuals—remains underexplored. This study addresses this gap by evaluating the immediate effects of a single RT session on anxiety and depression in healthy, active individuals. Methods: Fifty-six healthy, physically active participants (43 males, 13 females; M age = 24.41 ± 4.41 years) were randomly assigned to an experimental group (RT, n = 30) or a control group (stretching/mobility, n = 26). The RT session included multi-joint exercises performed at 70–75% 1RM, while the control session consisted of non-load-based mobility and flexibility exercises. Psychological responses were measured immediately before and five minutes after the session using the Hospital Anxiety and Depression Scale (HADS), which includes subscales for anxiety (HADS-A) and depression (HADS-D). Results: Non-parametric within-group analysis (Wilcoxon Signed-Rank Test) revealed a significant reduction in anxiety scores in the RT group (Z = −3.3, p < 0.001, r = −0.7), and a moderate but significant decrease in depression (Z = −2.8, p = 0.005, r = −0.6). No significant changes were observed in the control group for either variable. Between-group comparisons (Mann–Whitney U) showed significantly greater reductions in anxiety in the RT group (p = 0.021), while differences in depression deltas were not significant. A Quade ANCOVA confirmed that group assignment is significantly predictive for post-intervention anxiety levels (F(1, 54) = 8.46, p = 0.005), controlling for baseline values. Conclusions: A single session of moderate-to-high-intensity resistance training can acutely reduce anxiety symptoms in healthy physically active individuals. The effect on depressive symptoms appears more modest and variable, suggesting differential sensitivity to acute exercise stimuli. These findings support the use of RT not only for long-term psychological health but also as a feasible short-term intervention for emotional regulation in healthy active populations. Full article

Mining involves daily descents underground and enduring dangerous and difficult conditions. Hence, it is very important to use solutions that will reduce the risk in miners’ work and ensure the greater safety and comfort of work in accordance with the goals of sustainable development. One way is training using virtual reality. Virtual reality provides greater safety (safe training conditions, the possibility of making a mistake without health consequences, practicing emergency scenarios, etc.) and aligns with the Sustainable Development Goals—particularly SDG 3 (health), SDG 8 (decent work), SDG 9 (innovation), and SDG 12 (sustainable production). However, it is also a technology that has its weaknesses (occurrence of contraindications, side effects, etc.). Therefore, the use of VR-based training should be examined in terms of the well-being and health of training employees. Due to this, this article examines the occurrence of psychophysical complaints during VR training; the tolerance and adequacy of the duration of a 50 min training session in VR was assessed; and the average time needed to adapt to the virtual environment was determined. The VR training was developed as a result of a research project conducted by JSW Nowe Projekty S.A. (ul. Ignacego Paderewskiego 41, 40-282 Katowice, Poland), Główny Instytut Górnictwa—Państwowy Instytut Badawczy (plac Gwarków 1, 40-160 Katowice, Poland), JSW Szkolenie i Górnictwo Sp. z o.o. at Jastrzębska Spółka Węglowa Capital Group (ul. Górnicza 1, 44-335 Jastrzębie-Zdrój, Poland) on the development and implementation of innovative training using VR for miners. The solution was developed in the context of mining’s striving for sustainable development in the area of improving working conditions and human safety. The first method used in the study is a survey completed by participants of training courses using virtual reality. The second method is the analysis of trainer observation sheets, which contain observations from training courses. The results revealed that for over 70% of respondents, the need to carry out activities in VR was not associated with fatigue. No average score for psychophysical symptoms assessed by respondents on a scale of 1 to 6 (including disorientation, blurred vision, dizziness, confusion, etc.) exceeded 1.4. The vast majority (85.5%) did not take off the goggles before the end of the training—the training lasted 50 min. This research contributes to the discussion on sustainable industrial transformation by demonstrating that VR training not only improves worker safety and preparedness but also supports development goals through human-centered innovation in the mining sector. Full article

Electromyography (EMG) signals have diverse applications, ranging from prosthetic hands and assistive suits to rehabilitation devices. Nonetheless, their performance suffers from cross-subject generalization issues, electrode shifts, and daily variability. In a previous study, while transfer learning narrowed the classification performance gap to −1% in an eight-class scenario under electrode shift, they imposed the burden of additional data collection and re-training. To address this issue in real-time prediction, we investigated a sliding-window normalization (SWN) technique that merges z-score normalization with sliding-window processing to align the EMG amplitude across channels and mitigate the performance degradation caused by electrode displacement. We validated SWN using experimental data from a right-arm trajectory-tracking task involving three motion classes (rest, flexion, and extension of the elbow). Offline analysis revealed that SWN mitigated accuracy degradation to −1.0% without additional data for re-training or multi-condition training, a 6.6% improvement compared with the −7.6% baseline without normalization. The advantage of SWN is that it operates with data from a single electrode position for training, which eliminates both the collection of multi-position training data and the calibration of deep learning models before practical use in EMG applications. Moreover, combining SWN with multi-position training exceeded the classification accuracy of the no-shift condition by 2.4%. Full article

Objectives: The present study evaluated anthropometry Z-scores of exclusively breastfed infants aged 0~6 months and examined their associations with various parent–infant factors. Methods: This cross-sectional study included 383 mother–infant dyads from 10 Chinese cities in the final analyses, under strict inclusion and exclusion criteria. Data were collected by trained investigators using questionnaires covering demographic characteristics, perinatal health, maternal and infant factors during lactation. Nutrient intake was assessed and calculated by 24 h recall. Anthropometric measurements of parents and infants were taken using calibrated instruments, with infant growth assessed via Chinese growth standards. Statistical analyses included correlation and linear mixed-effect models accounting for regional clustering, with variable selection guided by backward elimination step regression. Nonlinear relationships were explored using spline and piecewise regression methods. Results: Over 60% of the mothers had inadequate energy and protein intake. Approximately two-thirds of the participants had fat intakes exceeding the upper limit. Inadequate or excessive gestational weight gain, poor maternal sleep quality, lactational mastitis, higher maternal fat intake and infant gastrointestinal symptoms were associated with lower infant anthropometry Z-scores. A threshold effect was detected between maternal fat intake and infant WAZ, BMI Z, and WLZ. Conclusions: This study found that anthropometry Z-scores of exclusively breastfed infants aged 0–6 months were significantly associated with certain maternal–infant factors and maternal fat intake, emphasizing the need for early intervention on adverse factors and balanced maternal diet nutrition during lactation. Full article

Objective: The aim of this study was to examine the safety and tolerance of Bifidobacterium longum subsp. infantis YLGB-1496 (B. infantis YLGB-1496) in toddlers with respiratory illness. Methods: In this randomized controlled trial, 120 toddlers with respiratory illness were randomly assigned to the probiotic (YLGB-1496) or control group for a 12-week intervention. Follow-up examinations were conducted at baseline (week 0) and at weeks 6 and 12 of the intervention. Toddlers’ height and weight were measured by trained personnel, and defecation characteristics and gastrointestinal symptoms were recorded by parents or guardians. Stool samples were collected to determine the fecal pH, fecal calprotectin (FC) concentration, and fecal α1-antitrypsin (AAT) concentration. Results: A total of 115 toddlers completed the 12-week intervention (58 in the YLGB-1496 group and 57 in the control group). The height-for-age Z score (HAZ) in the YLGB-1496 group was significantly greater than that in the control group (p = 0.006). The weight-for-age Z score (WAZ) in the YLGB-1496 group increased between weeks 6 and 12, whereas the WAZ in the control group continuously decreased during the intervention. No differences in the frequency or consistency of defecation between the groups were observed. Toddlers in the YLGB-1496 group had lower incidences of poor appetite, nausea, vomiting, stomachache, lower abdominal pain, diarrhea, and dehydration (p < 0.05) but higher fecal AAT concentrations (p = 0.008) than did those in the control group. No differences in the fecal pH or FC concentration were observed between the groups. Conclusions: B. infantis YLGB-1496 demonstrated excellent safety and tolerability in toddlers and effectively reduced the gastrointestinal discomfort associated with respiratory illnesses. Full article

To advance our understanding of multiple sclerosis (MS), accurate identification of protein expression profiles as biomarkers for MS in cerebrospinal fluid (CSF) is critical. However, proteomic studies investigating MS have yielded inconsistent findings due to variability in sample sizes, diagnostic criteria, and data processing methods. We aimed to tackle these challenges by performing a thorough meta-analysis of proteomics datasets sourced from multiple independent studies. We conducted a thorough database search to gather all relevant studies using appropriate keywords. We screened articles using defined inclusion and exclusion criteria, and finally, six studies were included. We retrieved and combined data from five CSF datasets for discovery and two additional datasets for validation in 368 MS patients and controls. After data preprocessing, we calculated Z-scores for all datasets and for the integrated dataset. We used logistic regression models using training and validation datasets. We identified 11 differentially expressed proteins in the integrated dataset, revealing significant alterations in key pathways involved in immune response, neuroinflammation, and synaptic function. Notably, IGKC exhibited strong diagnostic potential, with an AUROC of 0.81. These findings highlight the value of re-analysing publicly available proteomics data to develop robust biomarker panels for MS diagnosis. Full article

Early detection of modifiable motor deficits is essential for safe, long-term athletic development, yet most field screens provide only binary risk scores. We therefore designed a practical and interpretable profiling system that classifies youth athletes into one of four functional categories—Functionally Weak, Strength-Deficient, Stability-Deficient, or No Clear Dysfunction—using three common assessments: Functional Movement Screen, hand-held dynamometry, and Y-Balance Test. A total of 46 youth athletes aged 11–16 years participated in the study, including 37 male soccer players (13.3 ± 1.6 y) in the development cohort and 9 handball players (5 male, 4 female; 12.8 ± 0.7 y) in the external validation group. Expert rules based on FMS quartiles and ≤−0.5 SD Z-scores for strength or balance generated the reference labels. The random forest model achieved 81% cross-validated accuracy (with balanced performance across classes) and 89% accuracy on the external handball group, exceeding the performance of the decision tree model. SHAP analysis confirmed that model predictions were driven by domain relevant variables rather than demographics. An accompanying web-based application automatically generates personalized reports, visualizations, and targeted training recommendations, making the system directly usable by coaches and clinicians. Rather than merely predicting injury, this field-ready framework delivers actionable, profile-based guidance to support informed decision making in athlete development. Further validation in larger, sport-diverse cohorts is needed to assess its generalizability and long-term value in practice. Full article

Above-ground biomass (AGB) is a core indicator for evaluating grassland ecosystem health and carbon storage. Traditional ground-based AGB measurements are labor-intensive and ill suited for large-scale monitoring. This study addresses this gap by developing a Multilayer Perceptron (MLP) model integrating Landsat 9 OLI/TIRS imagery acquired on 15 August 2024, with ground data from 78 sampling points (62 training, 16 testing). Incorporating fourteen multi-source features (seven vegetation indices, e.g., Modified Vegetation Index (MVI) and Green Chlorophyll Index (CIg); four meteorological variables; three soil properties), all data were standardized via z-score normalization before training. The MLP model, optimized via six-fold cross-validation, achieved an R² of 0.765 and RMSE of 38.066 g/m², outperforming XGBoost (R² = 0.723, RMSE = 41.354 g/m²) with a statistically significant 5.8% accuracy improvement (p < 0.05). Spatial analysis revealed a north-to-south AGB gradient, strongly correlated with precipitation gradients (250–350 mm/year) and soil organic carbon (R = 0.428). These findings provide a robust framework for climate-adaptive grassland management and carbon assessment in semi-arid regions. Full article

Background/Objectives: This study aims to determine the prevalence of stunting in children under two years old and its association with the maternal profile (including anthropometric measurements), care, feeding practices, and socioeconomic level. It also attempts to assess if stunting may contribute to an underestimation of wasting by performing a preliminary speculative analysis using the expected height for age instead of the real observed height of the children. Methods: The study employed a cross-sectional design, examining mother–child pairs in the rural municipality of Ampefy in the Itasy Region of Madagascar, between 2022 and 2023. A total of 437 mother–child (0–24 months) pairs participated in the study. A questionnaire was administered to collect data on the maternal lifestyle. Maternal medical histories were reviewed, and anthropometric parameters of both the mothers and their child were taken by specialized and trained health professionals with multiple years of experience. Results: The prevalence of stunting in children was 57.4% (95% CI: 52.64–62.10). Stunting was associated with maternal anthropometric measurements (p < 0.001), maternal education (p = 0.004), and breastfeeding (p = 0.047), which appears to have a protective effect. The weight-for-length z-score indicated that only 12.4% of the total children were affected by wasting. In the preliminary speculative analysis using the WHO height-for-age standard, the theoretical prevalence of wasting was estimated to be 42.3%, with a considerable prevalence of severe wasting. The main limitations of this study were the possible selection bias, the limitations inherent to the taking of anthropometric measurements in small children, and therefore, the possible misclassification of the children. The use of a theoretical weight-for-length z-score to estimate a theoretical prevalence of wasting using an untested speculative analysis is also a limitation to the validity of the estimation. Conclusions: Stunting affected over half of the children included in the study (57.4%), but the prevalence of wasting was below what was expected, at 12.4%. In the preliminary speculative analysis using the expected height for age, it was estimated that wasting could possibly affect up to 42.3% of the children. This discrepancy, while it cannot be taken as factual due to the nature of the analysis, could serve as a warning that perhaps the elevated rates of stunting may be masking wasting in some children and other forms of nutritional assessments may be needed in areas where stunting is prevalent. Full article

Efficient and realistic large-scale scene modeling is an important application of low-altitude remote sensing. Although the emerging 3DGS technology offers a simple process and realistic results, its high computational resource demands hinder direct application in large-scale 3D scene reconstruction. To address this, this paper proposes a novel grid-based scene-segmentation technique for the process of reconstruction. Sparse point clouds, acting as an indirect input for 3DGS, are first processed by Z-Score and a percentile-based filter to prepare the pure scene for segmentation. Then, through grid creation, grid partitioning, and grid merging, rational and widely applicable sub-grids and sub-scenes are formed for training. This is followed by integrating Hierarchy-GS’s LOD strategy. This method achieves better large-scale reconstruction effects within limited computational resources. Experiments on multiple datasets show that this method matches others in single-block reconstruction and excels in complete scene reconstruction, achieving superior results in PSNR, LPIPS, SSIM, and visualization quality. Full article

Background/Objectives: The ROM-SPORT is a test battery for assessing flexibility that measures the range of motion (ROM) in the sport. Restricted or optimal ROM is associated with an increased risk of injury or improved athletic performance, respectively. The aim of the present study was to determine the normative values of the lower limb’s flexibility profile by ROM assessment in female football players. Methods: Lower-limb flexibility (11 ROM tests) was measured using the ROM-SPORT battery in 142 female football players (19.42 ± 4.45 years). The tests were performed at the beginning of the training sessions in the first two weeks of the pre-season. Standardized Z-scores (on a scale of 0 to 100 [T-score]) were calculated from the mean and standard deviation to classify the ROM of each movement into three qualitative categories (poor [>−3 to −2], average or normal [−1 to 1; 68.2%], and optimal [1 to >3]) and a traffic light system to facilitate interpretation of the results. Results: The results show normal (or average) ROM values at 32–37° for ankle dorsiflexion with the knee extended; 37–43° for ankle dorsiflexion with the knee flexed; 46–54° for hip internal rotation; 54–61° for hip external rotation; 31–37° for hip adduction; 70–76° for hip abduction with the hip flexed; 41–45° for hip abduction with the hip neutral; 135–141° for hip flexion; 73–82° for hip flexion with the knee extended; 15–21° for hip extension; 121–132° for knee flexion. The normative data presented in this study can be utilized by researchers and practitioners in the women’s football league in a variety of ways, provided similar data collection methods are used. Conclusions: Flexibility training is recommended to overcome normal or average ROM and optimize athletic performance with lower injury risk in female football players. Full article

Background: Tapering, a period of reduced training load following intense training, contributes to performance enhancement. However, research on recovery status during tapering is limited. This study investigates the impact of recovery status on race performance. Methods: Total quality recovery (TQR) scale scores were monitored over two seasons in 22 college competitive swimmers (age: 19.7 ± 1.8 years), including 6 females. They participated voluntarily in the study. Rolling averages (TQRra) and exponentially weighted moving averages (TQRewma) over 7, 14, 21, and 28 days before the race were calculated. Performance data from 550 race days were analyzed by quartiles, and odds ratios were computed for TQR-related variables against race performance improvements. Results: The median TQR was 11 (interquartile range: 10–13). Seasonal bests were achieved in 31.6% of races (174 of 550). The highest odds ratios (ORs) for performance improvement in the highest quartile (Q4) of TQR and z-TQR were 3.13 (p < 0.001) and 4.35 (p < 0.001), respectively. Significant ratios for TQRewma were observed for 7d:21d (OR: 2.62, p < 0.001) and 7d:28d (OR: 2.48, p < 0.001) comparisons. Conclusions: Better recovery status on race day has been associated with improved swimming performance. Additionally, optimizing the TQRewma ratio of the most recent 7 days compared to the preceding 21 to 28 days may further enhance race performance. It highlights the need to monitor an athlete’s recovery over several weeks as an important pre-race strategy. Full article

Background: Medical imaging and therapeutic tools are used on a daily basis. Some of these technologies bear potential risk of harm due to exposure to ionizing radiation. Previous research has shown a lack of knowledge and awareness surrounding ionizing radiation among a wide range of medical staff. Objectives: This study aimed to evaluate the knowledge and awareness of ionizing radiation in a large tertiary medical center and compare the knowledge and awareness among types of hospital employees. Methods: A cross-sectional study based on an anonymous 32-question questionnaire was conducted. Participants were categorized by employee type, including physicians, nurses, allied health professionals, and ancillary and administrative staff. The questionnaire was divided into demographic profile, professional characteristics related to ionizing radiation, and knowledge and awareness. Knowledge and awareness scores were analyzed as standard scores (Z-scores). Univariate and multivariable analyses were performed. Results: The study included 479 participants. Physicians received the highest scores compared to other employee types, participants who had received ionizing radiation training received higher scores, and similar trends were observed for employees working in departments with higher potential for radiation exposure. Conclusions: This research underscores the need to enhance ionizing radiation knowledge and awareness among hospital staff. Achieving this may involve training sessions, workshops, and academic courses. Full article