Search Results (112)

Accurate river discharge forecasting remains a critical challenge in hydrology, particularly in data-scarce mountainous regions where in situ observations are limited. This study investigated the potential of long short-term memory (LSTM) networks to improve discharge prediction by leveraging spatially distributed reanalysis data. Using the ERA5-Land dataset, we developed an LSTM model that integrates grid-based meteorological inputs and assesses their relative importance. We conducted experiments on two snow-dominated basins with contrasting physiographic characteristics, the Uba River basin in Kazakhstan and the Flathead River basin in the USA, to answer three research questions: (1) whether full-grid input outperforms reduced configurations and models trained on Caravan, (2) the impact of spatial resolution on accuracy and efficiency, and (3) the effect of partial spatial coverage on prediction reliability. Specifically, we compared the full-grid LSTM with a single-cell LSTM, a basin-average LSTM, a Caravan-trained LSTM, and coarser cell aggregations. The results demonstrate that the full-grid LSTM consistently yields the highest forecasting performance, achieving a median Nash–Sutcliffe efficiency of 0.905 for Uba and 0.93 for Middle Fork Flathead, while using coarser grids and random subsets reduces performance. Our findings highlight the critical importance of spatial input richness and provide a reproducible framework for grid selection in flood-prone basins lacking dense observation networks. Full article

This comment focuses on the contribution of experimental brain ischemia to the overwhelming incidence of Alzheimer’s disease in women as presented by Lohkamp et al. in Life 2025, 15, 333. The authors showed that in Alzheimer’s disease and ischemic stroke there are sex-dependent adaptations in the form of cross-links and vice versa. It was emphasized that the high longevity of women in itself does not explain the mechanisms underlying the biological differences between the sexes causing a female predominance in the development of Alzheimer’s disease. Differences were demonstrated between males and females: female APP/PS1 mice had greater amyloid deposition, hyperactivity, lower body weight, and reduced cerebral blood flow, as well as less neuroinflammation, which the authors suggest may have potential neuroprotection. It should be noted that some of the information presented in the article by Lohkamp et al. raises more questions than answers. Therefore, future studies should consider, for example, studies using single-cell technologies that can provide insight into the timing and sequence of cellular dysfunctions across sexes and analyze the continuity of changes over time, starting from short-term observations of a few days and ending with long-term observations of a year or more, to assess the continuity and differentiation of changes. Full article

Automated story writing has been a subject of study for over 60 years. Today, large language models can generate narratively consistent and linguistically coherent short fiction texts. Despite these advancements, rigorous assessment of such outputs in terms of literary merit—especially concerning aesthetic qualities—has received scant attention. In this paper, we address the challenge of evaluating AI-generated microfiction (MF) and argue that this task requires consideration of literary criteria across various aspects of the text, including thematic coherence, textual clarity, interpretive depth, and aesthetic quality. To facilitate this, we present GrAImes: an evaluation protocol grounded in literary theory; specifically, GrAImes draws from a literary perspective to offer an objective framework for assessing AI-generated microfiction. Furthermore, we report the results of our validation of the evaluation protocol as answered by both literature experts and literary enthusiasts. This protocol will serve as a foundation for evaluating automatically generated microfiction and assessing its literary value. Full article

Hand hygiene reduces healthcare-associated infections. The World Health Organization (WHO) recommends the multimodal hand hygiene strategy to improve hand hygiene. To compare hand hygiene knowledge and compliance of healthcare practitioners (HCPs) before and after the implementation of the WHO multimodal strategy, a before-and-after cross-sectional study was conducted in two Tunisian University Hospitals (2019–2023). Hand hygiene knowledge and compliance were assessed using the WHO questionnaire and observation tool. In 2019, 42 of 246 HCPs (17%) correctly answered ≥80% of 25 questions on hand hygiene knowledge. By 2023, this increased to 47 HCPs (19%). Knowledge on hand hygiene significantly improved for 10 out of 25 questions (12–38% increases) but declined for eight questions (5–40% decreases). Seven questions showed no significant changes in knowledge. Overall hand hygiene compliance increased from 21% in 2019 to 40% in 2023 (p < 0.001). Improvements were observed across the hospital departments (p < 0.001) and staff categories (p < 0.001). In 2023, the lowest hand hygiene compliance was for/before touching a patient (29%), and before clean/aseptic procedures (37%). Hand hygiene compliance was improved, but progress fell short of the WHO’s desired 80% target. Sustained efforts and complementary interventions are needed to accelerate progress and achieve the desired outcomes. Full article

This systematic review investigates 49 peer-reviewed studies on Large Language Model-Powered Automated Assessment (LLMPAA) published between 2018 and 2024. Following PRISMA guidelines, studies were selected from Web of Science, Scopus, IEEE, ACM Digital Library, and PubMed databases. The analysis shows that LLMPAA has been widely applied in reading comprehension, language education, and computer science, primarily using essay and short-answer formats. While models such as GPT-4 and fine-tuned BERT often exhibit high agreement with human raters (e.g., QWK = 0.99, r = 0.95), other studies report lower agreement (e.g., ICC = 0.45, r = 0.38). LLMPAA offers benefits like efficiency, scalability, and personalized feedback. However, significant challenges remain, including bias, inconsistency, hallucination, limited explainability, dataset quality, and privacy concerns. These findings indicate that while LLMPAA technologies hold promise, their effectiveness varies by context. Human oversight is essential to ensure fair and reliable assessment outcomes. Full article

Background: Hormonal fluctuations across the menstrual cycle can significantly impair physical performance, neuromuscular function, and cognitive processing in female athletes, particularly during the premenstrual phase. Emerging evidence suggests that dark chocolate (DC), rich in flavonoids, polyphenols, magnesium, and theobromine, may exert anti-inflammatory, analgesic, and neuroprotective effects. This study investigated the acute effects of 85% DC supplementation on cognitive and physical performance, as well as delayed-onset muscle soreness (DOMS), in female CrossFit^® athletes across four distinct hormonal phases. Methods: In this randomized, double-blind, placebo-controlled, crossover study, fifteen trained eumenorrheic female CrossFit^® athletes completed three intervention conditions: dark chocolate (DC), placebo (PLA), and control (CON). Participants were evaluated during four distinct menstrual phases—menstrual, follicular, luteal, and premenstrual syndrome (PMS)—over three consecutive menstrual cycles. In each phase, participants consumed 30 g/day of either DC or PLA for three days, followed by performance testing on day four. Functional and cognitive performance were assessed via the CINDY WOD, handgrip strength (HGS), and Stroop tests (reaction time and correct answer percentage, CAP). DOMS was measured using a 100 mm visual analog scale at baseline and at 0, 12, 24, 48, and 72 h post-exercise. Results: DC supplementation significantly improved functional performance (CINDY WOD) across all menstrual phases, with the greatest enhancement during PMS (p < 0.01). Reaction time significantly improved during PMS (p = 0.010 vs. control; p = 0.002 vs. placebo). Additionally, DOMS was notably reduced in the luteal phase at 12 h, 24 h, and 72 h post-exercise in the DC condition compared to the control and placebo (p < 0.05). No significant differences were observed in HGS across conditions or phases (p > 0.05). Conclusions: Short-term DC supplementation may selectively enhance high-intensity functional performance and cognitive accuracy in trained female athletes, particularly during hormonally sensitive phases such as PMS. Its anti-inflammatory and neuromodulatory properties make DC a promising, non-pharmacological strategy to support female-centric recovery and performance in CrossFit^® and similar sports. Future research should explore chronic intake, mechanistic biomarkers, and individual variability across menstrual cycles. Full article

We assessed whether constructing a mathematical knowledge graph for a knowledge question-answering system or a course recommendation system, Named Entity Recognition (NER), is indispensable. The accuracy of its recognition directly affects the actual performance of these subsequent tasks. In order to improve the accuracy of mathematical knowledge entity recognition and provide effective support for subsequent functionalities, this paper adopts the latest pre-trained language model, LERT, combined with a Bidirectional Gated Recurrent Unit (BiGRU), Iterated Dilated Convolutional Neural Networks (IDCNNs), and Conditional Random Fields (CRFs), to construct the LERT-BiGRU-IDCNN-CRF model. First, LERT provides context-related word vectors, and then the BiGRU captures both long-distance and short-distance information, the IDCNN retrieves local information, and finally the CRF is decoded to output the corresponding labels. Experimental results show that the accuracy of this model when recognizing mathematical concepts and theorem entities is 97.22%, the recall score is 97.47%, and the F1 score is 97.34%. This model can accurately recognize the required entities, and, through comparison, this method outperforms the current state-of-the-art entity recognition models. Full article

Background and Objectives: This study aimed to evaluate the association between QoL, self-assessed physical activity, and the presence and severity of muscle spasms in chronic hemodialysis patients. Patients undergoing regular in-center hemodialysis (HD) have much lower quality of life (QoL) than healthy individuals. However, there is limited knowledge about the impact of specific common complications of hemodialysis, particularly muscle spasms on the overall well-being of patients. Materials and Methods: In this prospective, single-center study, 67 chronic HD patients were surveyed regarding the prevalence of muscle spasms using a validated 9-multiple-choice-question survey, alongside the Physical Activity Questionnaire (IPAQ) and The Short Form (36) Health Survey (SF-36). Based on the muscle spasms survey answers, patients were divided into two subgroups: with (n = 39) and without muscle spasms (n = 28). Results: The findings revealed that patients with muscle spasms had a higher body mass index (BMI) (p = 0.005), a shorter dialysis vintage (p = 0.063), and significantly longer sitting times (p = 0.017). Multivariate analysis identified BMI (p = 0.034), sitting time (p = 0.009), physical functioning scores (p = 0.032), and dialysis vintage (p = 0.040) as significant predictors of muscle spasms. Conclusions: This study concluded that muscle spasms are associated with lower QoL among HD patients. The contributing factors to this dependance are BMI, dialysis vintage, physical functioning, and sitting time. Full article

The family of individuals living with Down Syndrome (DS) often demonstrate high levels of stress associated with the demand for care and difficulties experienced in everyday life. The aim of this cross-sectional study was to assess perceived stress by parents/caregivers of individuals with DS and its association with general perceived self-efficacy and dental outcomes, considering the COVID-19 pandemic’s impacts on family’s daily activities and finances. A sample of 257 parents/caregivers answered a questionnaire with socioeconomic, dental, and behavioral variables and the short version of the Perceived Stress Scale and the General Perceived Self-Efficacy Scale. The sample was divided into three groups based on perceived stress levels. Associated variables were evaluated using multinomial logistic regression (level of significance 5%), adjusting for socioeconomic factors. The mean perceived stress score was 17.84 ± 5.75 (0–39). Medium stress (second tertile) was associated with finger/nail biting in individuals with DS (OR = 2.05; 95%CI 1.04–4.03; p = 0.038), difficulty in performing oral hygiene (OR = 2.39; 95%CI 1.23–4.65; p = 0.011) and medium and high self-efficacy (OR = 0.12; 95%CI 0.05–0.31; p < 0.001 and OR = 0.38; 95%CI 0.15–0.98; p = 0.046, respectively); high stress (third tertile) was associated with medium and high self-efficacy (OR = 0.25; 95%CI 0.09–0.67; p = 0.006 and OR = 0.05; 95%CI 0.02–0.15; p < 0.001, respectively) and negative impact of COVID-19 in family finances (OR = 3.00; 95%CI 1.39–6.44; p = 0.005). It was concluded that parents/caregivers’ perceived stress was averaged and associated with self-efficacy, finger/nail biting, oral hygiene demands, and the financial impact of COVID-19. Full article

The world is experiencing an energy transition, migrating from fossil fuels to renewables, which are usually intermittent and, therefore, require flexibility to keep the power system reliable. Although system flexibility is a well-known theme of research, the question “What is a fair cost for flexibility?” remains to be answered. The present paper proposes a metric to estimate the value of a flexible resource to a power system. This metric is especially important in hydroelectric systems, where the flexibility of the hydro portfolio is uncertain and subject to seasonal changes and other considerations such as agricultural use. The valuation of a flexible resource by its cost–benefit is necessary since its installation generates operational savings to the entire system. A combined project cost and system overall savings is proposed to assess the net cost of a flexible resource. The net cost of flexibility can be used as a metric to rank flexibility candidates in systems with large amounts of renewable energy. A simplified case study of the Brazilian energy system is presented, and the flexibility solutions are evaluated according to the new metric. Results show how different technologies impact the system overall costs and the importance of analyzing system needs (both short and medium terms) when planning the expansion of flexibility in hydro systems. Full article

Constructed response items that require the student to give more detailed and elaborate responses are widely applied in large-scale assessments. However, the hand-craft scoring with a rubric for massive responses is labor-intensive and impractical due to rater subjectivity and answer variability. The automatic response coding method, such as the automatic scoring of short answers, has become a critical component of the learning and assessment system. In this paper, we propose an interactive coding system called ASSIST to efficiently score student responses with expert knowledge and then generate an automatic score classifier. First, the ungraded responses are clustered to generate specific codes, representative responses, and indicator words. The constraint set based on feedback from experts is taken as training data in metric learning to compensate for machine bias. Meanwhile, the classifier from responses to code is trained according to the clustering results. Second, the experts review each coded cluster with the representative responses and indicator words to score a rating. The coded cluster and score pairs will be validated to ensure inter-rater reliability. Finally, the classifier is available for scoring a new response with out-of-distribution detection, which is based on the similarity between response representation and class proxy, i.e., the weight of class in the last linear layer of the classifier. The originality of the system developed stems from the interactive response clustering procedure, which involves expert feedback and an adaptive automatic classifier that can identify new response classes. The proposed system is evaluated on our real-world assessment dataset. The results of the experiments demonstrate the effectiveness of the proposed system in saving human effort and improving scoring performance. The average improvements in clustering quality and scoring accuracy are 14.48% and 18.94%, respectively. Additionally, we reported the inter-rater reliability, out-of-distribution rate, and cluster statistics, before and after interaction. Full article

In this study, we aimed to assess the capacity of a physics-based earthquake simulator to improve our understanding of the seismogenic process. In this respect, we applied a previously tested earthquake simulator to two well-known and completely different seismogenic fault systems, namely the Italian Apennines and the Nankai subduction in Japan, for which long historical records of strong earthquakes are available. They are characterized by different fault mechanisms, fault sizes, and slip rates. Because of the difference in slip rates, the time scale of the seismicity patterns is different for the two systems (several hundreds of years for the Apennines and a few tens of years for the Nankai Fault). The results of simulations that produced synthetic catalogues of 100,000 years show these significant long-term seismicity patterns characterizing the seismic cycles for both seismogenic areas as follows: The average stress and the occurrence rate of earthquakes increase in the long term as the next major earthquake approaches; while the average stress increases uniformly, the occurrence rate stops increasing well in advance of the mainshocks; the b-value exhibits a long-term increase before major earthquakes and a fast decrease shortly before the mainshocks. Even if no specific statistical tool was applied for the quantification of the similarities between the seismicity patterns of the two seismic areas, such similarities are clearly justified by the large number of seismic cycles included in the 100,000-year synthetic catalogues. The paper includes a discussion on the capability of the simulation algorithm to reliably represent the real long-term seismogenic process. This question is difficult to answer because the available historical observations are of too short a duration to provide significant statistical results. In spite of the limitations characterizing the use of earthquake simulators for time-dependent earthquake hazard assessment, and the lack of convincing mechanistic explanations of the specific seismic patterns reproduced by our simulator algorithm, our results encourage further investigations into the application of simulators for the development of seismogenic models, including short-term features. Full article

The relevance of the article’s results lies in presenting the actual energy yields of PV panels of various generations and types of installations. The aim of the article is to provide answers about the effective operation of three different photovoltaic systems: a stationary off-grid system operated for several years, a stationary on-grid system, and a system mounted on trackers. A stationary on-grid system was used as the reference system, taking its area and energy yield as the reference point. The assessment was made on the basis of energy and cost efficiency analysis using the comparative method. The obtained results were compared to the results of other PV systems whose parameters were obtained from literature analysis. The analysis showed significant differences in adapting them to different sunlight conditions. The results confirmed the validity of using fixed PV panels (Installation II) in the short term and the advantage of the PV panel tracking system (Installation III) in the long term. The results also confirm that Installation I, despite its eight years of operation time, shows a relatively small decrease in efficiency, which confirms the validity of the long-term operation of the PV installation. Full article

Industrial wool textile production exposes workers mainly to the biomechanical loading of the shoulder joint. In this work context, which is characterized by poor machine ergonomics, exposure to biomechanical risk factors, and variable work organization, exoskeletons could facilitate work processes or could be a valuable means to protect workers from overuse injuries. Field evaluation is essential to verify the suitability of specific devices and their acceptance by users. As part of a pilot study, we examined the short-term subjective effects of a passive Arm-Support Exoskeleton (ASE) on workers performing repetitive overhead tasks. In a textile factory, eight workers participated in the study, answering questionnaires after carrying out a work session with (ASE) and without an exoskeleton (FREE). Participants had been using the Paexo exoskeleton for $4.2\pm 5.8$ months (min 0–max 12). Subjective evaluations were collected regarding the workload (NASA-TLX) and relief (Borg’s CR10 scale) obtained from the use of the exoskeleton, satisfaction (Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST)), usability (System Usability Scale (SUS)), and opinions on the ergonomics of the device (Ergonomics questionnaire). Workers reported a high workload (NASA $7.2\pm 1.0$) and assessed a 46% reduction in effort on the CR10 in ASE conditions compared to FREE. They expressed high satisfaction with most characteristics of the ASE (100% satisfied with durability and effectiveness), high level of usability (62% of scores above 80, out of a maximum score of 100), and ergonomics of the device ($88\pm 12$, out of a maximum score of 110). In addition to the objective effects (electromyography (EMG) reduction) already demonstrated in a previous publication, these qualitative results demonstrate a positive perception by textile workers regarding the effectiveness, usability, and suitability of the exoskeleton. The adoption of ASE in the textile industry appears beneficial in the short term, but the impact associated with individual variables and long-term effects remains to be explored. Full article

A previous short time span study related to the effectiveness of a teaching pack (TP) in improving the adherence to the Mediterranean Diet (MD) showed positive results. The present study was aimed at investigating and confirming those results, with a follow up data collection, in the same sample, a year after the baseline intervention. Pre- and post-intervention assessments were conducted. Weight and height were measured. Eating patterns/lifestyle were assessed by the KIDMED test and questionnaires. Thirteen schools in three areas with low, medium and high prevalence of overweight/obesity (North, Center and South respectively) were involved, with a representative baseline cluster sample of 494 fourth class children (8–10 years old) in 2015. An intervention group and a control group were recruited in each school; the intervention group (n = 395) got the intervention, the control group (n = 99) did not. The children’s KIDMED score changes were the main outcome measures. Differences in percentages of adherence and in yes/no answers on the KIDMED test, at baseline and after one year, for both the intervention and the control groups, were assessed through contingency tables and statistical tests. Improvements in the high and low adherence rates to MD were observed (high adherence: 24.4% to 43.3%; low adherence: 15.0% to 3.9%, p < 0.0001). The percentages of subjects with optimal adherence improved in both sexes (females: 25.5% to 49.5%, p < 0.0001; males: 23.1% to 36.6%, p < 0.0001) in all the geographical areas and ponderal status classes. Accompanying free distribution of fruit and vegetables with a nutritional intervention led by trained teachers with a cross-curricular approach can be successful in promoting healthy eating in children. Full article