Search Results (140,511)

The optimization of cotton defoliant application is critical for enhancing fiber quality and yield. This study aims to assess the impact of different defoliant duty cycles on cotton fiber quality by applying Principal Component Analysis (PCA) to High-Volume Instrument (HVI) data from two fields. Three duty cycles—20%, 40%, and 60%—along with a control treatment were evaluated. PCA was used to identify the key factors influencing cotton quality, with a focus on parameters such as fiber length, strength, and uniformity. The results revealed that the 40% duty cycle consistently produced the most stable and uniform cotton fiber quality across both fields, minimizing variability in critical parameters. In contrast, the 20% and 60% duty cycles, as well as the control, introduced greater variability, with the control treatment showing the most significant outliers. These findings suggest that a 40% duty cycle is optimal for balancing effective defoliation with high-quality cotton production. Future research should explore the robustness of the 40% duty cycle across different environmental conditions and investigate the integration of advanced technologies to further optimize defoliant applications. This study provides valuable insights for improving cotton production practices and ensuring consistent fiber quality. Full article

The application of biochar can effectively enhance soil organic matter (SOM) and improve soil structure. Biomass power plant ash (BPPA) is also rich in essential nutrients for plants, with similar carbon content. Considering production cost and agricultural waste recycling, it is beneficial to apply BPPA to improve soil fertility and quality. However, it remains unclear whether its ameliorative effects surpass those of biochar in alkaline soils. In the study, we set up seven pot experiments of faba beans in sandy alkaline soils from the ancient region of the Yellow River, including the controls (CK), different amounts of acid-modified BPPA (A1, A2, A3), and the same amounts of acid-modified biochar (B1, B2, B3), to compare their effects on soil physiochemical properties and bacterial community structure. The results indicate that the application of both biochar and BPPA can improve soil physiochemical properties. At the same dosage, the biochar application outperformed BPPA treatment in terms of soil physical properties such as bulk density (BD), maximum water-holding capacity (FC), and soil capillary porosity (SP2). Conversely, BPPA treatment displayed advantages in chemical properties such as readily oxidizable organic carbon (ROOC), total nitrogen (TN), alkaline nitrogen (AN), available phosphorus (AP), available potassium (AK), and electrical conductivity (EC). All the treatments enhanced the richness and diversity of bacterial communities, increasing the relative abundance of eutrophic groups such as Bacteroidota and Firmicutes while decreasing that of oligotrophic groups like Actinobacteriota. BPPA also increased the relative abundance of Proteobacteria, while the opposite was observed for biochar. Correlation analysis showed that the environmental factors such as soil pH, EC, TN, AK, SOM, and SP2 emerged as primary factors influencing the bacterial community structure of alkaline soils, significantly affecting their diversity and abundance. Among them, SP2 and SOM were the dominant physical and chemical factors, respectively. Overall, the application of both acid-modified BPPA and biochar can enhance the physiochemical properties of sandy alkaline soils, while the application of BPPA is superior for improving soil nutrient content and enhancing bacterial community structure. The study explores the potential mechanisms through which the application of acid-modified BPPA affects soil characteristics and microbial features, providing new insight into developing optimizing fertilization strategies for enhancing soil quality in the ancient region of the Yellow River. Full article

In-vehicle information system (IVIS) use while driving has raised concerns about driver distraction, especially for young drivers. To understand better their psychological factors, an extended theory of planned behavior (TPB) was employed to predict young drivers’ IVIS use intentions and behavior while driving. A two-wave longitudinal survey was conducted to explore the temporal effects of ‘intention–behavior’ causality. At Time 1, 236 qualified participants completed a main questionnaire assessing the standard TPB constructs (attitude, subjective norms, and perceived behavior control) and the extended constructs (descriptive norms, moral norms, and perceived risks). At Time 2, 145 follow-up questionnaires measuring self-reported behavior were successfully administered. The hierarchical multiple regression analyses showed that the standard constructs account for 36.5% of the intention variance and 41.2% of the behavior variance. The extended constructs additionally contributed 20.3% of intention variance. All variables were identified as significant predictors of intentions, except for perceived crash risks and perceived risks of being caught and fined. The sole significant predictor of prospective behavior was intention. Theoretically, the findings further support the efficacy of the TPB in explaining IVIS use while driving. Practically, it is helpful to design non-legal interventions that sustainably reduce young drivers’ engagement in IVIS-related distractions. Full article

This study investigates the integration of generative AI in higher education and the development of the SPARRO framework, a structured approach to improving human–AI interaction in academic settings. This ethnographic study explores the integration of generative AI in healthcare and nursing education, detailing the development of the SPARRO framework based on observations of student and faculty interactions with AI tools across five courses. The study identifies key challenges such as AI hallucination, mistrust of AI-generated summaries, and the difficulty in formulating effective prompts. The SPARRO framework addresses these challenges, offering a step-by-step guide for planning, prompt design, reviewing, and refining AI outputs. While the framework shows promise in improving AI integration, future research is needed to validate its applicability across other academic disciplines and assess its long-term impact on critical thinking and academic integrity. This study contributes to the growing body of research on AI in education, offering practical solutions for ethically and effectively integrating AI tools in academic settings. Full article

This study examines the intricate relationship between economic growth and European environmental degradation via the Environmental Kuznets Curve (EKC). Our results contest the traditional inverted U-shape model of the Environmental Kuznets Curve, indicating that the theory may not be consistently applicable across European countries. Utilizing CS-ARDL and MMQR modelling, we reveal substantial regional disparities. Western European nations demonstrate a typical Environmental Kuznets Curve (EKC) pattern in the short term, characterized by an initial increase in emissions alongside GDP development, followed by a subsequent fall. Conversely, Eastern and Balkan nations exhibit a U-shaped connection, described by an early decline in emissions followed by a subsequent increase as their development levels increase. The influence of renewable energy differs, as it decreases emissions in the short term in Western Europe. However, its long-term impacts are variable, especially when contrasted with its more pronounced effect on emissions in Eastern and Balkan countries. Furthermore, trade openness intensifies environmental degradation in the short-term across all regions, although its long-term impact diminishes, particularly concerning greenhouse gases (GHG). The relationship between renewable energy and trade openness is substantial for the short-term reduction of carbon dioxide emissions, but this effect declines with time. The results indicate that a uniform environmental policy throughout Europe may lack efficacy. Customized strategies to expedite the transition in Western Europe and more specific interventions in Eastern Europe are essential to harmonize economic progress with environmental sustainability. Future research should examine the determinants of the diminishing long-term effects of renewable energy and the interplay between trade and environmental policies. Full article

Periodic limb movements in sleep (PLMS) are a prevalent disorder characterized by rhythmic, involuntary movements of the lower limbs, such as dorsiflexion of the ankle and extension of the big toe, occurring in periodic intervals during sleep. These movements are often linked to disrupted autonomic nervous system (ANS) activity and altered interoception. Interoception involves perceiving internal bodily states, like heartbeat, breathing, hunger, and temperature, and plays a crucial role in maintaining homeostasis and the mind–body connection. This review explores the complex relationships between PLMS, heart rate variability (HRV), ANS dysregulation, and their impact on psychiatric disorders. By synthesizing the existing literature, it provides insights into how ANS dysregulation and altered interoceptive processes, alongside PLMS, contribute to psychiatric conditions. The review highlights the potential for integrated diagnostic and therapeutic approaches and presents a cause-and-effect model illustrating the mutual influence of psychiatric disorders, ANS dysregulation, PLMS, and interoception. Full article

In public security policing, where pressure is constant, effective decision-making and emotion regulation are critical, especially for leaders. These processes significantly impact upon work results, performance, officials’ health, employee well-being, and the organizational environment. This study aims to broaden the understanding of decision-making styles and emotion-regulation strategies used by police officials in the Portuguese Public Security Police (PSP). We surveyed 138 Portuguese high-ranking police officials using two self-response questionnaires, namely the Emotion Regulation in the Workplace (ReTrab) and the Melbourne Decision Making Questionnaire (MDMQ), both translated, adapted, and validated for the Portuguese police context. A confirmatory factor analysis was conducted, followed by correlations to explore the relationship between emotion-regulation strategies and decision-making styles. Finally, through a regression analysis, the potential impact of this relationship was assessed. The results reveal that specific emotion-regulation strategies, except for adaptive ones, significantly influence and modify the decision-making styles of PSP officials. Dysfunctional and maladaptive emotion-regulation strategies lead to less adaptive decision-making styles, while functional strategies promote more adaptive styles. These findings have theoretical and practical implications, offering valuable insights for targeted training programs and interventions in the law-enforcement sector, benefiting the police personnel, the communities they serve, and public perceptions about police. Full article

Background: High-energy chest trauma often results in rib fractures and associated chest injuries. This study explored fracture distribution patterns in high-energy chest trauma, using three-dimensional (3D) fracture mapping technology. Methods: This retrospective study analyzed cases of high-energy chest trauma with rib fractures treated at a Level 1 Trauma Center, from February 2012 to January 2023. Specifically, 3D computed tomography (CT) was used to reconstruct rib fractures and create fracture-frequency heat maps, analyzing the influence of other thoracic fractures on rib fracture distribution. Results: Rib fractures were frequently found in the anterior and posterior thoracic areas. On average, patients sustained 7 ± 3.87 rib fractures, with clavicle fractures in 25.5% and scapular fractures in 19.6% of cases. Scapular fractures led to more posterior rib fractures, while sternal fractures were associated with more anterior rib fractures. Clavicle fractures were linked to fractures of the first to third ribs. Conclusions: Rib fractures in high-energy chest trauma occurred most often in the anterior and posterior regions. Fractures of the scapula and sternum influence the positioning of the fracture lines. Clavicular fractures are associated with a higher incidence of upper rib fractures. These findings can help inform surgical decisions and complication management. Full article

Pine wilt disease (PWD), caused by the nematode Bursaphelenchus xylophilus, is a highly destructive forest disease that necessitates rapid and precise identification for effective management and control. This study evaluates various detection methods for PWD, including morphological diagnosis, molecular techniques, and remote sensing. While traditional methods are economical, they are limited by their inability to detect subtle or early changes and require considerable time and expertise. To overcome these challenges, this study emphasizes advanced molecular approaches such as real-time polymerase chain reaction (RT-PCR), droplet digital PCR (ddPCR), and loop-mediated isothermal amplification (LAMP) coupled with CRISPR/Cas12a, which offer fast and accurate pathogen detection. Additionally, DNA barcoding and microarrays facilitate species identification, and proteomics can provide insights into infection-specific protein signatures. The study also highlights remote sensing technologies, including satellite imagery and unmanned aerial vehicle (UAV)-based hyperspectral analysis, for their capability to monitor PWD by detecting asymptomatic diseases through changes in the spectral signatures of trees. Future research should focus on combining traditional and innovative techniques, refining visual inspection processes, developing rapid and portable diagnostic tools for field application, and exploring the potential of volatile organic compound analysis and machine learning algorithms for early disease detection. Integrating diverse methods and adopting innovative technologies are crucial to effectively control this lethal forest disease. Full article

Recent literature highlights the crucial role of deadwood in forests, emphasizing its contribution to biodiversity conservation, soil fertility, climate change mitigation, and bioenergy production. However, managing deadwood presents challenges as decision-makers must balance trade-offs and synergies between these ecological benefits. A participatory approach, incorporating user opinions, can support effective decision-making. This study surveyed 1207 university students from Iran, Italy, and Türkiye to explore their perceptions of deadwood’s role and the potential trade-offs among climate change mitigation, biodiversity conservation, and bioenergy production. Results indicate a high level of awareness among students regarding deadwood’s ecological functions, but preferences vary significantly across cultural and regional contexts. Results show that for students of all three countries, the most important function related to the deadwood in forests is the provision of microhabitats for wildlife, while in second place for Iranian students, there is bioenergy production, and for Turkish and Italian students, soil fertilization. In addition, results highlight that students prefer the management strategies based on leaving both standing dead trees and lying deadwood in the forest. This study reinforces existing literature on deadwood’s importance for biodiversity and underscores the need for informed policies that balance ecological values with practical management considerations. Full article

Visual development in infancy is crucial for establishing neural connections and enhancing the growth of the visual center. Adequate visual stimulation supports cognitive learning, helping children integrate images, colors, and shapes. This research examines the design and use of a visual image teaching aid to guide children in exploring image cognition and developing fine motor skills. This study involved 70 kindergarten teachers who participated in a questionnaire survey about 60 children aged from 5 to 6 years old. The results show that visual graphic aids effectively promoted coordination, control, and the integration of visual and fine motor skills in children. Furthermore, these aids supported the development of spatial and environmental relationships through hands-on activities. Full article

The Organic Rankine Cycle (ORC) is a widely utilized technology for generating electricity from various sources, including geothermal energy, waste heat, biomass, and solar energy. Harnessing solar radiation to drive ORC is a promising renewable energy technology due to the high compatibility of solar collector operating temperatures with the thermal requirements of the cycle. The aim of this review article is to present and discuss the principles of solar-ORC technology and the broad range of solar-ORC systems that have been explored in the literature. Various solar energy technologies capable of powering ORC are investigated, including flat plate collectors, vacuum tube collectors, compound parabolic collectors, and parabolic trough collectors. The review places significant emphasis on the operating parameters of technology. Full article

Sound planning for urban mobility is a key facet of securing a sustainable future for our urban systems, and requires the careful and comprehensive assessment of its components, such as the status of the cities’ public transportation network, and how urban planners should invest in developing it. We use agent-based modelling, a tried and true method for such endeavours, for studying the history, planned future works and possible evolution of the tram line network in the Greater Geneva region. We couple these models with knowledge graphs, in a way that both are able to mutually enrich each other. Results show that the information organisation powers of knowledge graphs are highly relevant for effortlessly recounting past events and designing scenarios to be directly incorporated inside the agent-based model. The model features all 5 tram lines from the current real-world network, servicing a total of 15 communes. In turn, the model is capable of replaying past events, predicting future developments and exploring user-defined scenarios. It also harnesses its self-organisation properties to autonomously reconstruct an artificial public transportation network for the region based on two different initial networks, servicing up to 29 communes depending on the scenario. The data gathered from the simulation is effortlessly imported back into the initial knowledge graphs. The artificial networks closely resemble their real-world counterparts and demonstrate the predictive and prescriptive powers of our agent-based model. They constitute valuable assets towards a comprehensive assessment of urban mobility systems, compelling progress for the agent-based modelling field, and a convincing demonstration of its technical capabilities. Full article

Background: There exists a scarcity of comprehensive studies on educational campuses, which integrate the effects of built environment satisfaction, university life experiences, and personal characteristics on QoL. The study’s main research problem is to investigate the extent, direction, and sequence of the influence of university life satisfaction (encompassing academic, social, and administrative perception)—as well as the university’s built environment of university (including both indoor and outdoor attributes of educational, social, recreational, and residential settings), in conjunction with student characteristics—on students’ QoL and the interactions among these factors. Aim: The main objective is to comprehensively analyze the impact and dominance of the built environment and various dimensions of university life, in addition to personal variables on student QoL, and explore the interaction between them. The sub-aims are to determine the dimensions that have the greatest effect on QoL and to make comparisons between them. Methodology: In line with the aim, a specific index for measuring student QoL on a university campus was developed, and a survey was conducted using a questionnaire developed based on the index. The case study is made in Bursa Uludag University, one of the oldest universities in Bursa, Turkey, which is known for being included in the UNESCO World Heritage List. Data were recorded and analyzed by utilizing statistical analyses via SPSS (statistical package for social sciences) for Windows 22 and IBM AMOS 24.0 programs. Results: The data collected from the evaluation of questionnaires administered to 685 participants reveal that the sub-dimensions with the most-to-least impact on students’ QoL are satisfaction with campus life, education spaces, academic development, socio-physical amenities, social perception, administrative management, accessibility, transportation, and accommodation. Conclusions: QoL is a multidimensional judgment through which university students’ QOL perceptions are affected through the interaction between the university’s built environment, university life, individual characteristics, as well as administrative management. Full article

This study investigates the auditory capabilities of Golden Rabbitfish (Siganus guttatus) and the potential efficacy of sound-based deterrent methods for behavior control. Behavioral experiments were conducted on Golden Rabbitfish to assess their responses to sound stimuli. Sinusoidal pulses in the range of 100~800 Hz, based on previous research on auditory evoked potentials (AEPs), were utilized. An analysis of behavioral trajectories, swimming speed, and acceleration changes revealed the fish’s reactions to varying frequency sound stimuli. The results indicate that Golden Rabbitfish exhibited increased swimming activity and speed when stimulated by sound and notably moved away from the source under prolonged exposure to low-frequency acoustic signals. Specifically, the fish displayed the most significant response to 200 Hz sinusoidal pulses with a response threshold of 113~126 dB. These findings suggest that Golden Rabbitfish are particularly sensitive to low-frequency noise, aligning with AEP study outcomes. This study concludes that employing sound stimuli to deter Golden Rabbitfish in practical settings holds promise for mitigating economic losses in seaweed farming due to Golden Rabbitfish grazing. Full article