Search Results (32,423)

The image of the Virgin Mary appears with increasing frequency in written sources from the 12th and 13th centuries compared to earlier periods. Three major works produced by four eyewitness authors of the Albigensian Crusade (Historia Albigensis, Chronica, and Canso de la Crozada) reflect on and respond to this popular theme. These sources focus on the Albigensian Crusade against heretical groups, particularly the Cathars, and employ the Virgin Mary motif for various purposes. The Virgin Mary is presented as a Catholic model for women drawn to Catharism (a movement in which female spiritual leadership was also present) as a divine protector of the just side in war and as a means of legitimizing the authors’ claims. While Mary appears sporadically in Peter of Vaux-de-Cernay’s Historia Albigensis, she is extensively invoked in the Canso by both William and his anonymous successor. In contrast, the image of the Virgin Mary is scarcely mentioned in Chronica, likely due to the narrative’s intended audience and objectives. This article aims to provide a comparative analysis of how the image of the Virgin Mary is utilized in these primary sources from the Albigensian Crusade and to offer a new perspective on the relationship between historical events and authors’ intentions, laying the groundwork for further research. Full article

Spinocerebellar ataxia 3 (SCA3) is a neurodegenerative condition caused by an expansion of a polyglutamine tract within the ATXN3 gene. Normal alleles range from 12 to 44 repeats, while pathogenic alleles have 52 repeats or more. The canonical ATXN3 repeat tract sequence includes three interruptions at positions 3 (CAA), 4 (AAG), and 6 (CAA). The intragenic rs7158733 single-nucleotide polymorphism (SNP) flanks the ATXN3 repeat region and substitutes a TAC¹¹¹⁸ tyrosine codon with a TAA¹¹¹⁸ stop codon, resulting in a shorter ataxin-3aS isoform. We examined the distribution of SCA3 allele repeat sizes in a UK-based cohort presenting with an ataxic phenotype. The 6596 alleles showed a clear gap between normal and expanded alleles, with no intermediate alleles containing 41 to 57 repeats. We used clone sequencing to characterize the structure of the ATXN3 repeat region in a sub-cohort of 44 SCA3 patients. We observed that the three canonical interruptions were typically preserved. There was no association of the interruptions with age at onset detected in this cohort, given the limited power of this sub-cohort. We genotyped the rs7158733 SNP in a sub-cohort of 79 SCA3 patients and found that 74.7% of expanded alleles carried the A¹¹¹⁸ variant, which was associated with earlier disease onset. This study highlights the importance of rs7158733 genotyping alongside ATXN3 repeat sizing for patient evaluation, as this SNP modifies the effect of repeat size on age at onset in SCA3 for pathogenic alleles up to 69 repeats. Full article

Parkinson’s disease (PD) is characterized by degeneration of nigrostriatal dopaminergic neurons (DNs) and movement disorders. Low efficiency of pharmacotherapy requires improvement, e.g., using receptor agonists or antagonists as drugs. Our work aims to initiate these developments by studying the expression levels of genes encoding neurotransmitters, neuropeptides and hormone receptors in substantia nigra pars compacta (SNpc) cells and in isolated DNs in intact mice, and changes in expression of these genes in MPTP mouse models of PD at preclinical and clinical stages. Expression of all 12 studied genes was detected in the SNpc and only 10 in DNs—Cckar and Glp1r were undetectable. In intact mice, the expression of Drd2, Grin2b, Grm1 and Ntsr2 predominates in SNpc tissue, whereas that of Gria2, Chrnb2, Gper1, Igf1r is higher in DNs. In PD models, change in receptor gene expression was detected in DNs but not in SNpc tissue. In the preclinical PD, Drd2 expression increased and Gria2 decreased, whereas in a clinical model, Drd2, Grm1, Ntsr2 expression decreased. Thus, the above genes are expressed in DNs and other cells of SNpc; expression of some genes changes in PD models, which opens up prospects for development of therapy using receptor agonists and antagonists. Full article

As the demand for marine resource development escalates, underwater robots have gained prominence as a technological alternative to human participation in deep-sea exploration, resource assessments, and other intricate tasks, underscoring their academic and engineering importance. Traditional underwater robots, however, typically exhibit limited resilience to environmental disturbances and are readily obstructed or interfered with by aquatic vegetation, sediments, and other physical impediments. This paper examines the biological locomotion mechanisms of black ghostfish, which utilize undulatory fins and flapping wings, and presents a coupled undulatory-flapping propulsion strategy to facilitate rapid movement and precise posture adjustment in underwater robots. A multimodal undulatory-flapping bio-inspired underwater robotic platform is proposed, with a systematic explanation of its structure and motion principles. Additionally, kinematic and dynamic models for coordinated propulsion with multiple actuators are developed, and the robot’s performance under various driving modes is evaluated using computational fluid dynamics simulations. The simulation outcomes confirm the viability of the developed dynamic model. A prototype was constructed, and a PID-based control algorithm was developed to assess the robot’s performance in linear movement, turning, and other behaviors in both undulatory fin and flapping modes. Experimental findings indicate that the robot, functioning in undulatory fin propulsion mode at a frequency of 2.5 Hz, attains a velocity of 0.35 m/s, while maintaining attitude angle fluctuation errors within ±5°. In the flapping propulsion mode, precise posture modifications can be executed. These results validate the feasibility of the proposed multimodal bio-inspired underwater robot design and provide a new approach for the development of high-performance, autonomous bio-inspired underwater robots. Full article

The dynamic and time-sensitive nature of online food delivery, along with real-world factors like sudden changes in order volumes and the availability of couriers, distinguishes it from traditional vehicle routing scenarios. Apart from the many studies in the literature that handle this problem from specific angles, our solution proposes a new approach that provides real-time routing with the awareness of the expectations of multiple stakeholders in the ecosystem. For this purpose, we develop a Mixed Integer Programming (MIP) model that minimizes unmet demand and workforce requirements simultaneously to meet platform and courier expectations while maintaining the timeliness of the operation to meet restaurant and customer expectations. Since the model requires more time to provide good results for even small-size problems, we develop a multi-step algorithmic approach supported by strategies that hold or dissolve a part of the solutions to create opportunities for better results. A framework for agent-based simulation was created to implement the strategies and the algorithmic steps, accurately mimicking the operations and movements of couriers. The effectiveness of this solution was evaluated through experiments based on a real-world case study. The results indicate that our solution can generate high-quality results in a short time across various configurations, which are defined by different demand and supply patterns and varying problem sizes. Full article

Background and Objectives: Horse riding simulators (HRS) provide rhythmic, repetitive, and multidirectional movements analogous to horseback riding, which may facilitate postural control, balance, and functional abilities in children with cerebral palsy (CP). This study aimed to investigate the effects of the HRS application on the muscle tone of the lower extremity, gross motor function, trunk postural control, balance, gait functions, and functional independence in children with CP. Materials and Methods: A quasi-experimental study included 30 children with cerebral palsy (17 hemiparetic, 13 diparetic; mean age, 9.3 ± 3.2 years). All participants received Neurodevelopmental Therapy (NDT) for eight weeks, followed by eight weeks of HRS plus NDT, in a sequential design. Outcomes included the Modified Ashworth Scale (MAS), Myoton^®PRO, Gross Motor Function Measures (GMFM)-88, Pedalo^® Sensamove Balance Test (Pedalo^® SBT), Pediatric Balance Scale (PBS), Trunk Impairment Scale (TIS), gait analysis parameters, and Functional Independence Measure (WeeFIM). Assessments were made at baseline, the 8th, and the 16th week. Results: At week 16, after incorporating HRS, all MAS parameters demonstrated greater improvements compared to those achieved during the first eight weeks of NDT alone (ES: 0.728–0.931, p < 0.05). Myoton^®PRO measurements showed a significant reduction in gastrocnemius stiffness (ES = 0.672, p < 0.05) in hemiparetic children and decreases in hip adductor (ES: 0.649, p < 0.05) and gastrocnemius-soleus (ES: 0.766–0.865, p < 0.05) stiffness from week 8 to 16 in diparetic children following HRS intervention. Total scores on the GMFM-88, WeeFIM, TIS, and PBS improved significantly, with large effect sizes observed both from baseline to week 16 and from week 8 to 16 (ES: 0.771–0.886, p < 0.05). Additionally, Pedalo^® SBT scores increased following HRS intervention from baseline to week 16 (ES = 0.599–0.602, p < 0.05). Conclusions: HRS integrated with conventional NDT may improve muscle tone, motor function, balance, gait, and functional independence in children with cerebral palsy, representing a valuable adjunct to standard rehabilitation. These findings provide the first evidence that simulator-assisted interventions may benefit daily activities in children with cerebral palsy. Full article

Dementia is a growing problem of global relevance, currently affecting over 55 million people worldwide. The number of new dementia cases is still increasing, primarily due to the aging of society. Dementia is defined as a substantial decline in cognitive function, and it is inherently associated with neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, dementia with Lewy bodies, frontotemporal dementia, and vascular dementia. Of note, most patients suffering from neurodegenerative conditions, in addition to cognitive impairment, often experience various types of sleep disorders, including insomnia, rapid eye movement sleep behavior disorder, sleep-disordered breathing, and circadian rhythm disturbances. There is increasing evidence of a bidirectional interaction between sleep disturbances and mental health. Disrupted sleep may directly aggravate neuropsychiatric symptoms, like depression, anxiety, agitation, and hallucinations, and conversely, such symptoms can make sleeping more difficult. This creates a feedback loop that inevitably leads to disease progression and deterioration in quality of life. In this review, we provide an up-to-date overview of the nature and mechanisms behind sleep disorders in major neurodegenerative diseases, summarize treatment strategies for handling sleep disturbances, and discuss the clinical relevance of sleep–mental health interactions in the context of neurodegeneration-associated dementia. Neurodegeneration is a complex problem on the border between neurology and psychiatry, and it poses a challenge to the healthcare system, as it requires multidisciplinary approaches for optimal management. Understanding the connection between sleep and neuropsychiatric symptoms offers further opportunities for better symptom control, improved quality of life, and slower cognitive decline. Full article

This study investigated differences in energy-expenditure (EE) modeling between badminton players of varying competitive levels during aerobic training. It evaluated the impact of sensor quantity and sample size on prediction model accuracy and generalizability, providing evidence for personalized training-load monitoring. Fifty badminton players (25 elite, 25 enthusiasts) performed treadmill running, cycling, rope skipping, and stair walking. Data were collected using accelerometers (waist, wrists, ankles), a heart rate monitor, and indirect calorimetry (criterion EE). Multiple machine learning models (Linear Regression, Bayesian Ridge Regression, Random Forest, Gradient Boosting) were employed to develop EE prediction models. Performance was assessed using R², mean absolute percentage error (MAPE), and root mean square error (RMSE), with further evaluation via the Triple-E framework (Effectiveness, Efficiency, Extension). Elite athletes demonstrated stable, coordinated movement patterns, achieving the best values for R² and the smallest errors using minimal core sensors (typically dominant side). Enthusiasts required multi-site sensors to compensate for greater execution variability. Increasing sensors beyond three yielded no performance gains; optimal configurations involved 2–3 core accelerometers combined with heart rate data. Expanding sample size significantly enhanced model stability and generalizability (e.g., running task R² increased from 0.49 (N = 20) to 0.95 (N = 40)). Triple-E evaluation indicated that strategic sensor minimization coupled with sufficient sample size maximized predictive performance while reducing computational cost and deployment burden. Competitive level significantly influences EE modeling requirements. Elite athletes are suited to a “low-sensor, small-sample” scenario, whereas enthusiasts necessitate a “multi-sensor, large-sample” strategy. Full article

This research presents a novel conceptual framework for inclusive education by integrating Internet of Things (IoT)-driven real-time environmental and behavioral monitoring with adaptive teaching strategies. Unlike traditional methods, our model leverages sensor-based data collection to analyze classroom conditions, teacher mobility, and student interactions, enabling dynamic adjustments that aim to enhance engagement and inclusivity. While the framework is theoretical and has not yet undergone experimental validation, we discuss how optimizing spatial configurations, voice dynamics, and movement patterns could support student participation, particularly for learners with diverse needs. Pilot implementations and empirical testing are planned for future research. By merging data-driven insights with educators’ expertise, our approach offers a scalable vision for creating responsive, inclusive learning environments that proactively address barriers to education. Full article

Background/Objectives: The longitudinal associations between different modalities of sedentary behaviors (SBs) and sedentary patterns (SPs) with metabolic syndrome (MetS) in children and adolescents are unclear. We aimed to analyze the cross-sectional and longitudinal (2-year follow-up) association between SB and SP with the MetS score in Spanish children and adolescents. Methods: 76 children (34 females) and 186 adolescents (94 females) were included for SB analyses, and 175 children (82 females) and 188 adolescents (95 females) for SP. Children and adolescents were aged 6–11.9 years and 12–17.9 years, respectively. SB were assessed by a self-reported questionnaire and SP were determined by accelerometry. The MetS score was computed from the waist circumference, systolic blood pressure, triglycerides, high-density lipoprotein cholesterol, and glucose levels. Different linear regression models were implemented to examine cross-sectional, longitudinal, and change associations of SB and SP with MetS. Results: Total daily SB, educative daily SB, and mean SB were longitudinal and inversely associated with MetS (β = −0.001, all p < 0.05) in male adolescents, while other daily SB was longitudinal and inversely associated with MetS (β = −0.002, all p < 0.05) in female adolescents. Changes in screen and other daily SB were directly associated with MetS in female adolescents (β = 0.001 to 0.002, all p < 0.05). In contrast, changes in educative daily SB were inversely associated with MetS in female adolescents (β = −0.001, all p < 0.05). Conclusions: Few associations between SB modalities and the MetS score were found, mainly in adolescents and often in unexpected directions. In male adolescents, total and educative daily SB were negatively associated with MetS. In female adolescents, other daily SB and changes in educative daily SB showed negative associations, while changes in screen-based and other daily SB were positively associated with MetS. No associations were found between SP and MetS. Given the low evidence available to date, more longitudinal studies analyzing SB and SP simultaneously are needed to reach solid conclusions. Full article

Neurodegenerative diseases (NDDs) are a group of progressive diseases affecting neuronal cells in specific areas of the brain, causing cognitive decline and movement impairment. Nowadays, NDDs play a significant role in the global burden of disease, and their incidence is increasing, particularly due to population aging. NDD onset is multi-factorial; based on the current knowledge, genetic, environmental, and cellular factors are believed to contribute to their occurrence and progression. Taking into account that at an early stage, the symptoms are not clearly defined, and diagnosis may be delayed, the development of innovative and non-invasive methodological approaches for early diagnosis of NDDs is strategic for timely and tailored disease management, as well as for the overall improvement of patients’ quality of life. The present review aims to provide, in the first part, an overview based on the current level of knowledge on the environmental risk factors that can explicate a role in the onset of the most common NDDs and on the main pathogenic mechanisms involved in disease initiation and progression. The second part aims to define the current state of the art regarding the significance of Volatile Organic Compounds (VOCs) in the volatome of different human biological matrices (exhaled breath, feces, and skin sebum) as candidate biomarkers of specific NDDs, with the aim of developing non-invasive diagnostic approaches for the early diagnosis and personalized management of the patients. A critical synthesis and discussion on the applied methodological approaches and on the relevant outcomes obtained across the studies is reported. Full article

Background/Objectives: Children with myelomeningocele (MMC) often experience lower extremity muscular contractures, which can impact their functional mobility. While standing programs have demonstrated benefits for children with other neuromuscular conditions, there is limited evidence on their use in ambulatory children with MMC who have joint deformities. This single-subject design study examined the impact of a home-based standing program on two ambulatory children with MMC, focusing on lower extremity muscle flexibility, functional movement quality, gait velocity, and participation in daily activities. Methods: Two children participated in a multi-phase single-subject (ABABA) withdrawal design beginning with the baseline phase and then alternating between the intervention and withdrawal phases. The intervention consisted of 60-minute standing sessions, five days a week, using a sit-to-stand stander (STSS) with support and supervision from a physical therapist (PT) and the parent. Primary outcomes included goniometric passive range of motion (PROM) and 10-Meter Walk Test (10 MWT). Secondary outcomes included the Pediatric Neuromuscular Recovery Scale (Peds NRS) and the Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT). Results: Improvements in hip and knee muscle flexibility were observed during the intervention phases, with some loss during the withdrawal phase. Functional movement quality improved in both children. Gait velocity and participation in daily activity scores remained stable during intervention phases. Parental feedback reflected increased independence and high engagement with the home program. One child discontinued due to a heel injury, highlighting the need for individualized support. Conclusions: Personalized standing programs may improve muscle flexibility and functional movement quality in ambulatory children with MMC. Further research is warranted to determine the optimal dosing regimen, ensure safety, and assess long-term functional outcomes. Full article

Basketball is a high-intensity, intermittent sport in which physical demands fluctuate depending on different contextual variables. Most studies addressed these demands in isolation without integrative approaches. Therefore, the present study aimed to identify key variables explaining players’ physical workload across game quarters and playing positions through principal component analysis (PCA). Ninety-four elite U18 male basketball players were registered during the EuroLeague Basketball ANGT Finals using WIMU PRO™ multi-sensor wearable devices that integrate local positioning systems (LPS) and microelectromechanical systems (MEMS). From over 250 recorded variables, 31 were selected and analyzed by PCA for dimensionality reduction, analyzing the effects of game quarter and playing position. Five to eight principal components explained 61–73% of the variance per game quarter, while between four and seven components explained 64–69% per playing position. High-intensity variables showed strong component loadings in early quarters, with explosive distance (loading = 0.898 in total game, 0.645 in Q1) progressively declining to complete absence in Q4. Position-based analysis revealed specific workload profiles: guards required seven components to explain 69.25% of the variance, with complex movement patterns, forwards showed the highest explosive distance loading (0.810) among all positions, and centers demonstrated concentrated power demands, with PC1 explaining 34.12% of the variance, dominated by acceleration distance (loading = 0.887). These findings support situational and individualized training approaches, allowing coaches to design individual training programs, adjust rotation strategies during games, and replicate demanding scenarios in training while minimizing injury risk. Full article

The Child-Focused Injury Risk Screening Tool (ChildFIRST) assesses movement competence in children and currently uses a dichotomous scoring scale, which, while simple and practical, may lack the precision needed for nuanced movement skill analysis. This study compared the inter- and intra-rater reliability of the ChildFIRST when scored using a dichotomous scale versus a seven-point Likert scale. Fourteen trained raters evaluated video recordings of eight children performing ten standardized movement tasks using both scales across two sessions. Reliability was assessed using intraclass correlation coefficients (ICCs). The dichotomous scale demonstrated moderate to excellent inter-rater reliability (ICC = 0.50–1.00) and good to excellent intra-rater reliability (ICC = 0.75–1.00). The seven-point scale showed similar inter-rater reliability but generally lower intra-rater reliability (ICC = 0.50–1.00). In addition, raters preferred the dichotomous scale in terms of practicality (91.6%), feasibility (75%), and overall usability (66.6%). These findings suggest that while both scales provide comparable inter-rater agreement, the dichotomous format offers greater consistency across repeated ratings and is more favorably received by users. The dichotomous scoring system is therefore recommended for continued use in field-based screening and future applications of the ChildFIRST. Full article

Rice (Oryza sativa) plays a fundamental role in the Ecuadorian diet. This study evaluated traceability and contamination by heavy metals in two rice-producing areas of Ecuador. Microwave-assisted digestion was used to process samples from rice agrosystems including irrigation water, soil, roots, stems, and leaves. Inductively coupled plasma optical emission spectroscopy (ICP-OES) was employed for elemental analysis. Arsenic (As), cadmium (Cd), lead (Pb), and chromium (Cr) were measured in samples collected in Daule and Ventanas. In soils, the concentrations of As (1.50–2.82 mg/kg) and Cd (1.22–1.45 mg/kg) exceeded the internationally recommended safety thresholds. In irrigation water, the content of As (0.85–1.12 mg/L), Pb (0.25–0.38 mg/L), and Cr (0.37–0.53 mg/L) surpass the international/national permissible limits. However, the limits established by Ecuadorian legislation indicate that As in soils did not exceed contamination thresholds. Additionally, the bioaccumulation of As and Pb in roots from Daule and Ventanas, respectively, was observed, along with the movement of Pb to aerial parts in Daule. Finally, preliminary As found in commercial rice grains suggest a potential health concern to the Ecuadorian population. These findings highlight the need for stricter heavy metal restrictions for rice agrosystems and effective agricultural pollution mitigation. Full article