Search Results (628)

The need for efficient water management is critical today, as this resource faces increasing scarcity due to population growth, pollution, climate change, depletion, and overexploitation of water resources. This further exacerbates the problem of intermittent water supply (IWS), where consumers receive running water for less than 24 h a day, 7 days a week, affecting more than one billion people worldwide. This article presents the development and implementation of a smart water metering and monitoring system (SWMMS) for households affected by IWS. The system comprises IoT devices that record water levels and consumption and supply events in real time; cloud computing services to store and process the readings taken by the IoT devices; and a mobile application that allows users to view the available volume, consult their daily consumption history, and receive alerts for prolonged consumption time, overflows, and low water levels. The system was implemented for 115 days in a home suffering from an IWS, where a lower number of consumption events were recorded during the first 40 days of monitoring due to an initial behavioral response to continuous observation (Hawthorne effect), rather than an improvement in efficiency induced by the system. Full article

This critical and selective review synthesizes the accumulating body of biological evidence supporting a process we term epigenetic–genetic coupling as a mechanistic basis for Lamarckian inheritance of somatically acquired adaptations. We propose that evolutionary processes in mammals and higher vertebrates can involve deaminase-driven, reverse transcriptase-mediated, RNA-templated targeted homologous recombination. We contrast well-established examples of “Soft”, reversible epigenetic inheritance with historical and contemporary evidence suggestive of stable, DNA-integrated “Hard” Lamarckian transgenerational inheritance. Our analysis indicates that the establishment of “Hard” Lamarckian inheritance may require specific population dynamics, including inbreeding or interbreeding among phenotypically affected offspring, together with sustained and defined environmental stimuli over one or more generations to consolidate the acquired traits at the genomic level. We also present molecular and cellular evidence supporting RNA-to-DNA genetic feedback mechanisms involving targeted genomic integration, primarily mediated by the DNA repair–associated reverse transcriptase activity of DNA polymerase η. Finally, we review diversification mechanisms in molecular and cellular immunology that now routinely employ single-molecule, real-time, long-read genomic sequencing (6–8 kb). We recommend the broader application of these technologies in future breeding and experimental programs across other somatic systems. Their deployment offers a robust strategy for securing definitive “Hard” molecular evidence of Lamarckian acquired inheritance in diverse biological contexts; including somatically acquired immunity, as well as adaptive behavioral and central nervous system phenotypes. This is compatible with our over-arching goal—to provide an experimental road map of conceptual options to drive future experimentation in acquired inheritance breeding programs. Full article

This study investigates how online discussion forums in an undergraduate Social Responsibility course support students’ SDG-oriented idea generation and collaborative knowledge construction. It also examines how participation roles, behavioral intensity, interaction-network influence, and goal-aligned discourse shape idea visibility and discussion. Using a mixed-methods learning analytics design, we analyzed forum logs and message texts across five SDG-linked themes (SDGs 6, 7, 12, 14, 15) by classifying contributor types, computing a Behavioral Participation Index (BPI), constructing a directed reply network and estimating PageRank centrality, extracting solution proposals, scoring semantic goal alignment, modelling weekly temporal dynamics, and fitting multivariate regressions predicting visibility (reads) and engagement (replies) while controlling for theme, message level, time, PageRank, and BPI. Results show role-differentiated participation (N = 514), meaningful cross-theme solution proposals that varied across academic groups, and peak-driven weekly activity. PageRank centrality emerged as the strongest and most consistent predictor of both visibility and engagement, whereas goal alignment showed weaker direct effects after controls, suggesting that SDG-aligned ideas do not necessarily diffuse without structural embeddedness. Among highly goal-aligned posts, specific communicative features differentiated which proposals attracted attention and interaction. These findings suggest that SDG forum design benefits from structured interaction pathways and scaffolded discourse strategies to support equitable diffusion and productive sustainability dialogue. The study does not evaluate the normative quality of sustainability positions but examines how interaction structures and discourse features shape the visibility and diffusion of student-generated ideas. Full article

Background/Objectives: Nutrition labeling and food advertising are population-level strategies that may influence food choices. Excess weight is a recognized public health concern and a risk factor for cardiometabolic diseases; however, evidence regarding the association between label use, food advertising, and excess weight remains inconsistent. The objective of this study was to examine the associations between nutrition label reading and understanding, exposure to food advertising, food-related behaviors, and excess weight among Brazilian adults. Methods: A cross-sectional study was conducted with 580 adults living in the southern region of Minas Gerais, Brazil. Data were collected using a structured questionnaire addressing sociodemographic characteristics, food purchasing behaviors, exposure to food advertising, and habits related to reading and understanding nutrition labels. Excess weight was assessed using body mass index (BMI), calculated from self-reported weight and height. Logistic regression models and principal component analysis (PCA) were performed, adopting a significance level of 5%. Results: Excess weight was observed in 59.0% of participants. Regular use of nutrition labels was reported by 38.6% of respondents; among these individuals, 70.4% reported discontinuing the purchase of a food product after reading its nutritional information. In adjusted analyses, age over 30 years (p < 0.001), female sex (p = 0.006), higher number of dependents (p = 0.007), and type of media used (p = 0.005) were significantly associated with excess weight. The habit of reading nutrition labels was not independently associated with excess weight; however, better label understanding was associated with changes in food purchasing decisions. Considering the nutritional quality of foods as an important factor in food choices was associated with lower odds of having excess weight, although this association did not reach conventional levels of statistical significance (OR = 0.403; 95% CI: 0.15–1.00; p = 0.056). Conclusions: Excess weight among Brazilian adults was more strongly associated with sociodemographic and behavioral factors than with the habit of reading nutrition labels. Although nutrition labeling was not directly associated with excess weight, label understanding and perceived nutritional quality influenced food purchasing behaviors. These findings highlight the role of nutrition labeling and food advertising in shaping food choices and underscore the need for longitudinal studies to clarify their relationship with excess weight and related health outcomes. Full article

Conversational systems based on large language models (LLMs) are being increasingly used as advisors in mental health and self-regulation contexts, yet causal evidence remains limited about whether such guidance strengthens human agency rather than shifting responsibility to the system. We propose a dual framework in which the advice style reflects two dimensions, namely a structural stance (power distance) and a relational stance (psychological safety). In an online vignette experiment in China (N = 980), participants sought job search guidance from an LLM and read either a baseline reply or one of eight discourse variants, while holding the advice content constant. Relative to the baseline, a low power distance and a high psychological safety increased the self-efficacy, whereas a high power distance and a low psychological safety decreased it. Combination conditions revealed an asymmetric constraint: when the power distance was high, the self-efficacy declined even when the psychological safety was high, suggesting that authority allocation can override relational reassurance. Mediation analyses showed that the perceived self-control accounted for 26.3% of the low power distance effect and perceived belongingness accounted for 40.9% of the high psychological safety effect, with no cross-mediation. Although mental health outcomes were not directly measured, our results position conversational stances as actionable levers that shape self-efficacy and agency-related mechanisms, which are critical for persistence and adherence in mental health-relevant behavior change. Full article

Background/Objectives: Legume-enriched foods are conventional products reformulated with the addition of legumes and, as such, represent a sustainable alternative to animal proteins. This study investigated the effectiveness of messages based on different food choice motives to encourage search, consumption, and future intention to consume these foods. Methods: The study involved a representative sample of 1361 Italian adults randomly assigned to one of seven experimental conditions (i.e., health, price, sensory appeal, natural content, convenience, sustainability, mood) or a control condition. Participants received three prefactual gain messages over one week. A moderated serial mediation model was estimated to test whether the effects of message exposure on future intention to consume were mediated by product search and consumption, and whether these effects varied according to participants’ baseline intention to replace animal food with plant-based alternatives (i.e., intenders vs. non-intenders). Results: Reading messages focusing on mood (B = 0.337, p = 0.021), sustainability (B = 0.441, p = 0.002), health (B = 0.333, p = 0.029), and convenience (B = 0.364, p = 0.017) were associated with increased intention to consume legume-enriched foods. However, only reading sustainability messages showed a positive serial indirect effect on intention via search and consumption (B = 0.036, p = 0.044), while reading mood messages was associated with increased intention via search only (B = 0.243, p = 0.048). Among non-intenders, reading mood and health messages were associated with increased intention only when they first stimulated search behavior. Conversely, among intenders, only reading sustainability messages was associated with increased consumption. Conclusions: These results demonstrate the persuasive power of sustainability appeals in promoting legume-enriched food consumption and support the effectiveness of using recommendation messages tailored to the recipient’s stage of change in terms of replacing animal food with plant-based alternatives. Full article

Background: Written educational materials are widely used in community pharmacies to support patient education, and available evidence suggests their effectiveness in improving short-term knowledge. However, there remains a need for well-documented, practice-oriented evaluations of pharmacist-developed materials in real-world community pharmacy settings. The aim of this study was to evaluate the immediate impact of a pharmacist-developed educational leaflet on women’s health knowledge and its perceived usefulness, clarity, and acceptability. Methods: This study evaluated pharmacist-developed educational leaflets addressing women’s health topics using a pre–post study design. The study was conducted in Poland and involved 266 adult women. All participants completed a five-question knowledge test before and immediately after reading the educational leaflet, followed by a self-assessment of perceived usefulness, clarity, and visual appeal. Descriptive statistics were performed to summarize the results. Results: A statistically significant increase in knowledge was observed after exposure to the educational material, with mean scores rising from 2.8 ± 1.2 to 4.6 ± 0.7 (out of 5, p < 0.001). The greatest improvements were noted in topics related to sexually transmitted infection self-testing and pregnancy testing. Most participants rated the leaflet as useful, comprehensible, attractive, and engaging, with higher ratings reported among younger and better-educated respondents. Conclusions: Pharmacist-developed educational leaflets can support short-term knowledge acquisition and are perceived positively by women across age groups. These findings highlight the potential role of community pharmacies in delivering accessible written health education, while underscoring the need for future studies to assess long-term knowledge retention, behavioral outcomes, and topic-specific, targeted materials. Full article

Live weight is widely used as a reference indicator for growth performance and for evaluating the accuracy of weight measurement technologies in pig production. However, live weight is not a fixed physiological quantity, and finishing pigs naturally experience substantial short-term mass fluctuations due to normal behaviors such as drinking, feeding, urination, and defecation. In this study, we integrated published physiological and behavioral parameters into a stochastic simulation model to quantify within-day live-weight dynamics in finishing pigs weighing approximately 100 kg. The simulation was conducted with 1-min temporal resolution over a 24-h period. The model demonstrated that short-term weight fluctuations of approximately ±3–5 kg can occur within a single day, even when measurement error is minimal. Across 1000 simulated pigs, the mean daily fluctuation range was 4.2 kg, confirming that kilogram-scale variation is physiologically expected under normal conditions. These results provide a plausible physiological basis for understanding the frequently reported discrepancies between camera-based weight estimates and instantaneous floor-scale measurements. Camera systems primarily reflect body mass derived from external morphology, whereas floor scales measure instantaneous total mass that includes transient contributions from gastrointestinal contents, ingested water, and retained waste. Consequently, direct comparisons based on instantaneous scale readings can be misleading when used as ground truth. Our findings indicate that commonly cited accuracy claims of ±2–3 kg for camera weighing systems should be interpreted with caution, as normal physiological weight variation often exceeds this range. Recognizing live weight as a dynamic physiological variable is essential for developing biologically meaningful evaluation frameworks and for the appropriate interpretation and comparison of weight measurement technologies in precision livestock farming. Full article

Extreme natural disasters raise a fundamental question for biologically rigid food production systems: does post-disaster productivity recovery stem from technological change or from adaptive reorganization within existing constraints? In inland aquaculture, where biological processes, fixed production cycles, and capital requirements severely limit short-run technological upgrading, this distinction is particularly critical. Using two post-earthquake time points (2023 and 2025), the analysis documents productivity and efficiency patterns rather than causal recovery trajectories. Accordingly, the analysis is explicitly descriptive and does not attempt to identify causal recovery mechanisms or long-run productivity dynamics. Adaptive efficiency is not directly measured in this study; rather, the term is used as an interpretative construct to describe efficiency changes that are consistent with adaptive behavior under post-disaster constraints. This study examines productivity patterns observed during the post-earthquake period in inland trout aquaculture following the 6 February 2023 earthquake in Eastern Türkiye, with a particular focus on adaptive efficiency as a recovery-consistent mechanism. Using a balanced panel of 290 inland trout farms observed during the immediate post-earthquake adjustment period (2023) and a subsequent recovery phase (2025), the analysis integrates bias-corrected Data Envelopment Analysis, Malmquist productivity decomposition, and resilience-oriented truncated regression. Recovery dynamics are examined conditional on farm survival, allowing within-farm adaptive adjustment to be distinguished from exit-driven selection effects. The results indicate that productivity recovery was driven predominantly by improvements in technical efficiency, while technological change remained close to unity across provinces, suggesting short-run production frontier stability. This pattern is consistent with delayed or constrained investment behavior under heightened uncertainty rather than with technological stagnation. This interpretation is not unique and should be read as one plausible mechanism among several, rather than as a definitive explanation of observed frontier stability. Farms primarily restored performance through operational reorganization, input coordination, and scale adjustment within existing biological and technological constraints, rather than through innovation. Second-stage results further show that the coefficient on access to liquidity is positive, while higher mortality rates and greater distance to markets are systematically associated with weaker post-disaster adjustment. Overall, the findings indicate that short- to medium-term productivity patterns in biologically rigid inland aquaculture systems are governed primarily by efficiency changes consistent with adaptive efficiency rather than technological change. From a policy perspective, post-disaster aquaculture recovery strategies should prioritize liquidity support, biological continuity, and operational stability over premature technology-push interventions. The analysis is based on two post-disaster observation points (2023 and 2025), which allows identification of short- to medium-term recovery-consistent patterns but does not permit causal or long-run inference. Full article

Substrate-free epidermal antennas promise imperceptible and long-term wearable sensing, yet their electromagnetic performance is fundamentally constrained by the properties of ultrathin conductors. In this work, gold nanomesh is employed for the first time as the radiating conductor of a substrate-free epidermal tattoo antenna operating in the UHF RFID band. Owing to its RF-thin nature, the nanomesh behavior is governed by sheet resistance rather than skin-depth effects, imposing a strict upper bound on achievable radiation efficiency. By combining surface-impedance modeling, full-wave simulations, and on-body experiments, we demonstrate that ohmic losses set a geometry-independent limit on the realized gain of on-skin antennas. An inductively coupled loop architecture is optimized to approach this bound while ensuring mechanical robustness and impedance stability. Measurements on phantoms and human subjects confirm the predicted performance limits within a few decibels, enabling reliable UHF RFID read ranges up to 30–40 cm under standard regulatory constraints. Full article

Fluent word reading is a key literacy skill, yet the full extent of the oculomotor underpinnings in developing readers remains unknown. Rapid automatized naming (RAN) is a useful clinical measure that has been shown to predict word reading fluency. Here we use RAN scores to predict early, mid, and late local stages of word reading as measured by eye tracking in children who are at a critical time in their literacy development. Thirty-three children participated in two RAN tasks (rapid letter naming (RLN) and rapid digit naming (RDN)) and an eye-tracking task, which included sentence-level reading with an embedded target word. The eye-tracking measures of first fixation duration, regression path duration, and total word reading time were used as early, mid, and late local measures, respectively. RLN and RDN significantly predicted only the mid-stage of the reading process (regression path duration). Faster RLN and RDN times were associated with briefer regressions from target words. Preliminary results link behavioral RAN performance to a mid-stage oculomotor variable, indicating that children with slower RAN times may exhibit longer regressions during reading, suggesting possible difficulties with the integration of phonological processing skills. Full article

The development of highly dynamic bipedal robots demands sensing capable of capturing key contact-related signals in real time, particularly the Center of Pressure (CoP). CoP is fundamental for locomotion control and state estimation and is also of interest in biomedical applications such as gait analysis and lower-limb assistive devices. To enable reliable CoP acquisition under dynamic walking, this paper presents a foot-mounted measurement system and an online self-calibration method that adapts sensor scale and bias parameters during locomotion using both external foot sensors and the robot’s proprioceptive measurements. We demonstrate an online self-calibration pipeline that updates foot-sensor scale and bias parameters during a walking experiment on a NAO-V5 platform using a sliding window optimization. The reported results indicate improved within-trial consistency relative to an offline-calibrated reference baseline under the tested walking conditions. In addition, the framework reconstructs a digitized estimate of the vertical ground reaction force (vGRF) from load-cell readings; due to ADC quantization and the discrete offline calibration dataset, the vGRF signal may exhibit stepwise behavior and should be interpreted as a reconstructed (digitized) quantity rather than laboratory-grade continuous force metrology. Overall, the proposed sensing-and-calibration pipeline offers a practical solution for dynamic CoP acquisition with low-cost hardware. Full article

Narrative perspective and focalization mode constitute fundamental elements shaping readers’ cognitive and neural responses during novel comprehension. Despite their theoretical importance in narratology, empirical evidence for their distinct processing mechanisms remains limited. This study employed a multi-method approach combining self-paced reading (N = 103) and functional near-infrared spectroscopy (fNIRS; N = 37) to investigate how narrative perspective (first-person vs. third-person) and focalization mode (internal vs. external) influence reading processes, with emotional valence as a potential moderator. Behavioral results revealed significantly prolonged reading times for third-person narratives compared to first-person narratives, particularly in negatively valenced texts. This effect was most pronounced among individuals with higher social cognitive abilities (low Autism Spectrum Quotient scores). Neuroimaging findings demonstrated distinct neural signatures: first-person narration elicited enhanced activation in the left superior parietal lobule compared to third-person narration, suggesting heightened attentional engagement. Internal focalization triggered greater activation in the left frontopolar cortex relative to external focalization, with negatively valenced texts showing similar enhanced activation patterns in this region. These converging lines of evidence support theoretical distinctions between narrative perspectives and demonstrate that first-person narration possesses higher cognitive salience during processing, while internal focalization more effectively engages readers’ metacognitive and empathetic neural systems. The findings provide empirical validation for longstanding narratological debates and illuminate the neurocognitive architecture underlying literary comprehension. Full article

This article proposes an interpretable adaptive control model for dynamically regulating task difficulty in Artificial intelligence (AI)-augmented reading-comprehension learning systems. The model adjusts, on the fly, the level of task complexity associated with reading comprehension and post-text analytical tasks based on learner performance, with the objective of maintaining an optimal difficulty level. Grounded in adaptive control theory and learning theory, the proposed algorithm updates task difficulty according to the deviation between observed learner performance and a predefined target mastery rate, modulated by an adaptivity coefficient. A simulation study involving heterogeneous learner profiles demonstrates stable convergence behavior and a strong positive correlation between task difficulty and learning performance (r = 0.78). The results indicate that the model achieves a balanced trade-off between learner engagement and cognitive load while maintaining low computational complexity, making it suitable for real-time integration into intelligent learning environments. The proposed approach contributes to AI-supported education by offering a transparent, control-theoretic alternative to heuristic difficulty adjustment mechanisms commonly used in e-learning systems. Full article

Background: Nonsteroidal anti-inflammatory drugs (NSAIDs) are among the most commonly used analgesics. However, their inappropriate or excessive use may lead to serious adverse effects. The aim of the study was to analyze behavioral patterns and attitudes toward the use of over-the-counter (OTC) NSAIDs, as well as the perception of risks associated with their use. Methods: A cross-sectional survey was conducted among 567 respondents. An anonymous questionnaire consisting of 26 items was used, addressing sociodemographic characteristics, frequency of reading drug information leaflets, frequency of NSAID use, and awareness of potential adverse effects associated with these medications. Results: The demographic factors significantly influenced NSAID-related behaviors. Women were significantly more likely than men to read drug information leaflets and reported more frequent use of OTC NSAIDs. Older respondents exhibited greater adherence to the principles of responsible NSAID use. Higher educational attainment was associated with more frequent and attentive reading of drug information leaflets. Urban residents reported higher median frequencies of NSAID use, whereas students demonstrated greater awareness of potential NSAID adverse effects compared with non-students. Conclusions: The results reveal complex patterns of NSAID consumption and underscore the need for implementing targeted public health interventions. Full article