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Online courses and distance learning are playing a significant role nowadays. These open, massive online courses (MOOCs) have garnered significant attention from academics, scholars, and policymakers; however, the literature offers limited empirical evidence, especially from a Saudi Arabian perspective. MOOCs help educators gain not only knowledge but also promote sustainability. The objective of this study was to investigate the impact of self-determination theory on the behavioral intention and actual use of MOOCs through the mediation of behavioral intention and media richness. For this purpose, convenience sampling was used, and data were collected from 145 respondents, including faculty members and students, across public and private sector universities. Smart PLS-SEM and CB-SEM were used to investigate the reliability, convergent validity, and discriminant validity by developing and testing measurement models using a confirmatory factor analysis. The hypotheses were tested using bootstrapping by developing structural models. The findings indicate that all the scales are reliable and valid, meeting the required threshold levels. Furthermore, all hypothesized relationships are positive and significant, except for the effect of perceived relatedness on the behavioral intention and actual use of MOOCs. Behavioral intention does not mediate the relationship involving perceived relatedness; however, it does mediate the relationships among perceived autonomy, competence, and actual use. Media richness also mediates the relationship between behavioral intention and actual use of MOOCs. The results suggest that MOOC providers should offer courses through renowned universities and adopt self-paced learning formats rather than fixed schedules. Additionally, learners should receive credits upon course completion, and these credits should be recognized by employers to enhance motivation for the continued use of MOOCs. Full article

The rapid demand for sustainable and efficient energy storage solutions has prompted the pursuit of eco-friendly electrode materials. Biomass-derived carbons from food waste offer a promising pathway to meet this need by combining waste valorization, environmental benefits, and high electrochemical performance. This review highlights that food waste biomass is an effective and inexpensive source of precursors for producing high-performance carbon materials for supercapacitors. Food waste, which includes fruit peels and vegetable residues, cereal husks, and oilseed residues, is a good source of lignocellulosic components, heteroatoms, and structural features that determine the electrochemical characteristics of the derived carbons. These wastes produce hierarchically porous carbons with high surface areas (>1500 m² g⁻¹) on pyrolysis and activation that provide superior ion transport, wettability and pseudocapacitive behaviour. Their electrochemical performance includes capacitances up to 520 F g⁻¹ and energy densities of 35–70 Wh kg⁻¹ in optimized systems, particularly under extended voltage windows or in hybrid supercapacitor configurations, and high cycling stability is equal to or even better than traditional carbons such as activated carbon and graphene. Additionally, biomass valorization contributes to a high level of greenhouse gas capture, decreases landfill, and correlates with the idea of a circular economy. The commercialization potential of biomass-based supercapacitors is supported by recent developments in AI-based optimization, combined with scalable synthesis methods, which would support ecologically, economically, and technologically sustainable energy storage on a large scale. Full article

Soil moisture critically governs terrestrial energy and water cycles. Precise monitoring of soil water content is essential for precision agriculture, drought early warning, and water resource management. Ground-based observations offer limited spatial coverage, and satellite remote sensing generally lacks high spatial resolution. Unmanned aerial vehicle (UAV) remote sensing, which provides centimeter-level spatial detail, can effectively address this gap and has therefore attracted considerable attention in soil moisture inversion research. Using CiteSpace, we performed a bibliometric analysis of 97 Chinese papers from the China National Knowledge Infrastructure (CNKI) and 321 English papers from the Web of Science Core Collection (2014–2025). The field has expanded rapidly since 2018, with China occupying a leading role. Domestically, Northwest A&F University represents a major research cluster, while the Chinese Academy of Sciences leads internationally. Key research topics include UAVs, soil moisture, machine learning, hyperspectral sensing, canopy temperature, and precision agriculture. Research themes have progressed from reliance on vegetation indices and temperature data toward the integration of hyperspectral and thermal infrared measurements, and toward the use of machine learning approaches to improve inversion models and achieve more accurate estimations. This study delineates the classification and developmental context of a knowledge system for soil moisture inversion using UAV remote sensing. Current work concentrates on integrating multi-sensor data with machine learning, while future efforts will emphasize coupling physical mechanisms with deep learning. These findings offer researchers a clear view of the field’s frontiers and a basis for planning future studies. Full article

This study examined whether attitude toward sport moderates the association between attitude toward violence and attitude toward sexual harassment among university students. Based on evidence that harassment-supportive beliefs are embedded within broader violence-supportive orientations, sport-related values were tested as a conditional factor. A cross-sectional correlational design was used with 350 undergraduates (45.1% female; M_age = 21.81, SD = 2.57) from a public university in Türkiye. Participants completed validated measures of attitudes toward sexual harassment, violence, and sport. Moderation analysis was conducted using Hayes’ PROCESS Macro (Model 1) with 5000 bootstrap resamples and HC3 standard errors. Gender was included as a control variable; male participants reported significantly higher tolerance toward sexual harassment (β = 7.258, p < 0.001). Attitude toward violence was positively associated with attitude toward sexual harassment (B = 0.271, p < 0.001). Attitude toward sport showed a small negative main effect (B = −0.199, p < 0.001) and significantly moderated this association (B = −0.010, p = 0.0008). The model explained 26.06% of the variance (R² = 0.261, F (4, 345) = 33.607, p < 0.001). The association weakened at higher sport attitude levels but remained significant, indicating a pattern of conditional attenuation. Full article

Luminescent cellulose-based fibers are promising materials for anti-counterfeiting applications because they can provide covert and spectrally distinguishable optical signatures compatible with paper- and textile-based authentication systems. In this study, Lyocell fibers modified with selected inorganic and organic luminescent compounds were subjected to accelerated xenon-lamp aging in order to evaluate their functional durability under simulated environmental exposure. The effects of aging on the mechanical properties and luminescent behavior of the fibers were investigated. The results showed that accelerated aging led to a reduction in tensile strength and elongation at break for all fiber variants, although the extent of these changes depended on the type of modifier. Spectroscopic analysis indicated that, despite changes in emission intensity, the characteristic luminescent responses of the modified fibers remained detectable after aging. These findings suggest that luminescent Lyocell fibers can retain their practical identification potential under the applied test conditions and may be considered promising candidates for use as covert security elements. The observed stability is attributed to the immobilization of luminophores within the cellulose matrix and the intrinsic photostability of the applied luminescent systems. At the same time, the study highlights the need for further investigations into the structural and photophysical stability of such systems under long-term environmental exposure. Full article

Distracted and fatigue-related driving behaviors are major causes of road traffic accidents, creating an urgent need for reliable driver monitoring systems. Vision-based detection methods have garnered widespread attention due to their low cost of deployment and practical applicability. However, existing lightweight models often suffer from limited global contextual perception and insufficient preservation of fine details. Motivated by these challenges, this study introduces an improved distracted and fatigue-related driving behavior detection model, YOLOv12-LAD, built on the YOLOv12 architecture. The proposed framework integrates a Large Separable Kernel Attention module (LSKA) to enhance global contextual perception, an Adaptive Downsampling module (ADown) to mitigate information loss during feature compression, and a Dynamic Sampling module (DySample) to enable content-adaptive feature reconstruction and improve multi-scale behavior representation. Experimental results show that YOLOv12-LAD achieved 97.5% precision, 96.3% recall, and 98.4% mAP@50 with only 2.5 million parameters, 6.2 GFLOPs, and an inference speed of 249 FPS. Ablation studies, comparisons with representative models, cross-dataset evaluation, and real-vehicle tests further verify the effectiveness and robustness of the proposed method. The proposed method demonstrates strong performance while maintaining computational efficiency, making it suitable for real-time vision-based driver monitoring applications. Full article

Private tutoring has become an increasingly popular approach for improving academic performance by providing individual or group support outside regular school hours to enhance student outcomes. In the context of mathematics tutoring, we introduce the eMath4All platform, designed to replicate traditional teaching methods through virtual tools for distance learning. Despite the growing prevalence of private tutoring, research on online tutoring platforms and their use in practice remains limited. Accordingly, this study explores the application of the eMath4All platform in two different private tutoring scenarios involving secondary school students from Romania. Study A examines group tutoring with five eighth-grade students preparing for a national examination over a three-month period, while Study B explores individual tutoring with ten students from various secondary education levels over a 12-month period. The paper analyzes how the key components of the eMath4All platform (such as the virtual whiteboard, mathematical editor, real-time audio–video communication, virtual library, assessment tool, and personal student profile) support tutoring activities. The platform is examined through a combination of platform usage data, descriptive analysis of student progression, and student-reported experience collected via questionnaires. The results of the exploratory study indicate consistent usage patterns, high engagement with platform features, and high usability ratings, highlighting the platform’s potential for supporting both individual and group mathematics tutoring. Full article

With the advent of the big data era, traditional storage technologies struggle to meet the demands for long-term, secure, and cost-effective preservation of massive amounts of information. Collinear holographic storage technology has emerged as a strong contender for next-generation optical storage due to its high storage density, rapid parallel transmission, and exceptional reliability. Among various storage materials, phenanthraquinone-doped poly(methyl methacrylate) (PQ/PMMA) photopolymer has garnered significant attention for its negligible photo-induced volume shrinkage, low cost, controllable thickness, and polarization-sensitive holographic response properties. However, the material’s limited photosensitivity, low polarization response, and poor optical uniformity severely constrain its application in high-speed recording and multidimensional multiplexing holographic systems. This paper reviews the primary methods and strategies employed over the past five years to enhance the holographic performance of PQ/PMMA photopolymer materials, based on the microscopic physicochemical mechanisms underlying traditional and polarization holography, including chemical modification, nanoscale doping, mechanical control, etc. Through a systematic review of these research advances, this paper aims to provide theoretical foundations and technical references for developing high-performance PQ/PMMA photopolymer materials suitable for collinear holographic storage. Full article

Artificial Intelligence (AI) and robotics constitute two major technological fields frequently integrated into education. Both of them provide advantages to educational settings, stemming from approaches integrating them at all educational levels. The emergence of generative Artificial Intelligence and the growing popularity of related tools have accelerated the integration of AI into education. An aspect of interest is to explore the combination of AI with robotics in education, aiming to benefit from the advantages of both technological schemes. This paper reviews work regarding the combination of generative Artificial Intelligence and robotics in K-12 and higher education. Scopus was used to search for relevant work. Fifty-four relevant papers were retrieved and analyzed after an exhaustive search. Trends in this combination are highlighted, taking into consideration learning, teaching, robot functionality and capabilities of generative AI tools, teaching subjects, sample size, and educational levels. Five main types of generative AI and robotics combinations are discerned. The overall combination benefits and challenges are analyzed. To the best of the authors’ knowledge, there is no other review discussing this subject in this specific context. Full article

Letter position dyslexia is a deficit in letter position encoding in the orthographic-visual analysis stage. We report here the first cases of deaf signers who show letter position dyslexia in both written and fingerspelled words. Their error pattern was identical in the two modes of presentation, written and fingerspelled: in both modes, they had almost only within-word letter transpositions; their transpositions involved middle letters and almost never exterior letters; they had errors of doubled letters; and their errors occurred almost only in migratable words. They showed no transpositions in reading multi-digit numbers. These results indicate that despite the temporal separation between the fingerspelled letters, the reading of fingerspelling uses the same cognitive processes, and specifically, the same letter-position-encoding mechanism, as the reading of written words. Full article

The Donghe Sandstone in the Tarim Basin represents marine littoral deposits. Cyclical variations in hydrodynamic conditions during sedimentary evolution led to the widespread development of intercalations/interbeds within the reservoir, which directly impact hydrocarbon development. It is imperative to elucidate the genesis, types, and distribution of these intercalations, and to reveal their controlling effect on residual oil. Based on detailed core observations, the genesis and classification of interbeds in the study area were determined. A three-dimensional cross-plot method was employed to establish interbed identification criteria, and architectural element analysis was used to predict their spatial distribution. Results indicate that interbeds in the study area can be classified into muddy interbeds, calcareous interbeds, and calcareous-muddy interbeds. The heterogeneity of interlayer and intralayer interbeds and sand body connectivity were systematically characterized. This enabled the prediction of distribution patterns and styles of different interbeds within the coastal-plain reservoir, as well as the relationship between residual oil and interbeds. Production practice shows that residual oil is mainly distributed in high-position well areas. This solves the problem of declining reservoir production in the Hadson Oilfield caused by interbed distribution and provides a reference for predicting residual oil distribution in marine coastal sedimentary oilfields. Full article

Although numerous studies have focused on the potential application of heterotrophic nitrification–aerobic denitrification (HNAD) bacteria in wastewater treatment, research exploring their potential in aquaculture biofloc systems remains limited. In this study, a promising HNAD strain, identified as Stutzerimonas stutzeri MJ20, was isolated from mature biofloc. This strain efficiently utilized low-cost carbon sources (e.g., glucose) and small-molecule carbon sources (e.g., sodium acetate and sodium succinate). Under conditions with glucose as the carbon source, a carbon-to-nitrogen (C/N) ratio of 15, pH 6–9, temperature 25–35 °C, salinity 0–35‰, and shaker speed of 0–150 rpm, it achieved removal rates of 95–100% for NH₄⁺-N, NO₂⁻-N, and NO₃⁻-N at initial concentrations of 100 mg/L each. Even at higher concentrations (up to 200 mg/L NH₄⁺-N and 500 mg/L for both NO₂⁻-N and NO₃⁻-N), removal rates exceeded 99%. Under mixed nitrogen sources, strain MJ20 demonstrated efficient nitrogen removal, preferentially utilizing NH₄⁺-N, with only minimal and transient accumulation of nitrite and nitrate. Genomic analysis revealed that MJ20 carries key denitrification genes, including napA, nirS, norB and nosZ, and possesses complete pathways for nitrate reduction to nitrogen gas and ammonia assimilation, although typical autotrophic nitrification genes were not detected. Combined genomic data and autotrophic culture experiments indicated that, in addition to utilizing various organic carbon sources, the strain also exhibited certain autotrophic growth capabilities. Furthermore, MJ20 showed strong flocculation ability (flocculation rate > 96% within 16 h), sensitivity to multiple common antibiotics, and no toxicity to zebrafish, demonstrating favorable biosafety. In simulated seawater aquaculture wastewater with a C/N ratio of 5, it achieved a total nitrogen removal rate exceeding 94% within 72 h. These results indicate that strain MJ20 possesses comprehensive advantages, including efficient nitrogen removal, broad carbon source adaptability, strong environmental resilience, minimal accumulation of intermediate nitrogen products, excellent flocculation ability, and high biosafety. These traits highlight its potential for application in biofloc systems and in treating aquaculture tail water with a low C/N ratio. This study provides theoretical insights and practical guidance for screening HNAD bacteria suitable for biofloc systems. Full article

A ligand-free Ni(acac)₂/EASC Ziegler–Natta catalytic system was developed for the efficient synthesis of low molecular weight liquid polybutadiene (LPB) featuring high 1,4 content. The influences of key polymerization parameters, including Al/Ni ratio, polymerization temperature, monomer-to-catalyst ratio ([Bd]/[Ni]), and external donors, were systematically investigated to elucidate structure–reactivity relationships. Increasing the Al/Ni ratio significantly enhances catalytic activity while promoting chain transfer reactions, leading to reduced molecular weights and broader molecular weight distributions, with minimal impact on overall 1,4 selectivity. Polymerization temperature strongly affects both activity and stereoselectivity; elevated temperatures accelerate chain transfer processes and broaden dispersity, while inducing a shift from kinetically favored cis-1,4 insertion toward increased trans-1,4 incorporation. Variation of the [Bd]/[Ni] ratio provides an effective handle for molecular weight regulation, where higher ratios favor chain propagation over chain transfer, affording higher molecular weights but lower monomer conversion. Notably, the system maintains consistently high 1,4 content (>98%) across a wide range of conditions. In contrast, the introduction of external donors markedly affects catalytic behavior depending on their coordination ability. Strongly coordinating O- and S-containing donors partially deactivate the catalyst and significantly shift regioselectivity toward 1,2-vinyl incorporation (up to ~20%), while N- and P-containing donors are well tolerated and can increase molecular weight by suppressing chain transfer pathways, which also results in products with higher 1,2 content. Full article

This study examined the cross-lagged associations between self-reported exposure to and engagement with tobacco/nicotine information on social media and depressive symptoms among young adults. Participants were 4267 20–32-year-olds (M_age 23.28, SD = 2.30 at baseline, 64.8% females) recruited in the Marketing and Promotions across Colleges in Texas study. Data for this study were collected in spring 2017 (baseline) and spring 2018 (follow-up). Results indicate that although self-reported exposure to and engagement with tobacco information, which were dichotomized, did not significantly predict subsequent depressive symptoms, young adults with clinically significant symptoms of depression were more likely than their peers to be exposed to ($\beta$ = 0.10, p < 0.001) and engage with (${\beta }_{pro}$ = 0.08, p < 0.01; ${\beta }_{anti}$ = 0.08, p < 0.05) tobacco information on social media one year later. The findings indicate that young adults with depressive symptoms may be susceptible to persuasive tobacco marketing on social media and in turn to potentially using tobacco and nicotine products. Findings call for regulation around tobacco marketing information on social media, especially for young adults with elevated depressive symptoms, a group at heightened risk for tobacco and ENDS use. Full article

Aggregation and seeded propagation of α-synuclein (α-syn) are central to the pathogenesis of Parkinson’s disease and related synucleionopathies. Modulation of seeded aggregation and amplification of pathological α-syn species represents a promising strategy for limiting disease progression. Here, we investigated the effects of naturally derived polyphenolic compounds on α-syn fibrillation, seeded aggregation, and associated cytotoxicity. Among the compounds examined, salvianolic acid B and dihydromyricetin exhibited significant inhibitory effects on α-syn aggregation. Biochemical and biophysical analyses using Thioflavin-T fluorescence, Congo Red binding, and transmission electron microscopy demonstrated that both compounds inhibited fibril formation and altered fibril morphology. Notably, dihydromyricetin efficiently disaggregated preformed fibrils and suppressed seeded fibril elongation, whereas salvianolic acid B primarily delayed aggregation kinetics. Both compounds significantly reduced α-syn-induced cytotoxicity in BE(2)-M17 cells. These findings demonstrate that salvianolic acid B and dihydromyricetin differentially modulate key steps in the α-syn aggregation pathway and reduce associated cellular toxicity. Collectively, these results provide mechanistic insight into the modulation of seeded α-syn aggregation and identify salvianolic acid B and dihydromyricetin as effective modulators of pathological α-syn assembly. Full article