Search Results (13,859)

Background and Objectives: The aim of this study is to evaluate impulsivity in childhood anxiety disorders and to examine its relationship with anxiety sensitivity and emotion regulation. Materials and Methods: The study group consisted of a total of 60 children aged 8–12 years diagnosed with generalized anxiety disorder (GAD, n = 30) and other anxiety disorders (n = 30). The control group consisted of 40 healthy children of similar age without a psychiatric diagnosis. Data collection forms included the Barratt Impulsiveness Scale Short Form (BIS-S), the Children’s Anxiety Sensitivity Index (ASI-3), the Emotion Regulation Checklist (ERC), and The Screen for Child Anxiety Related Emotional Disorders (SCARED). Results: Our study found no significant differences in BIS-S scores between GAD, other anxiety disorders, and the control group. The total/physical and ERC subscales of the ASI-3 were higher in the generalized anxiety disorder and other anxiety disorder group than in the control group. However, there were no significant differences in the social dimension and cognitive dimension scores of the ASI-3. It has been determined that anxiety sensitivity does not significantly mediate the relationship between emotion regulation and impulsivity, and that emotional variability/negativity is directly and completely related to impulsivity. Conclusions: Our study suggests that children with anxiety disorders experience greater difficulties in regulating their emotions compared to healthy children, and that emotional variability is directly related to impulsivity. In this context, enhancing emotion regulation skills in anxiety disorders may prove to be a pivotal factor in the efficacy of treatment and the maintenance of behavioral control. Full article

The rapid fabrication of low-cost surface-enhanced Raman scattering (SERS) substrates is highly desirable for chemical and biological sensing. Existing customized SERS substrates, such as Au or Ag nanostructures produced by physical deposition, frequently involve complex fabrication routes, which limits the scalability of SERS devices. Here, we present the hexagonal close-packed plasmonic superlattices as an efficient, low-cost and applicable SERS platform, fabricated by scalable seed-mediated growth and interfacial self-assembly methods. We systematically compared Ag, Au, and Au@Ag nanospheres (NSs) of different sizes and demonstrated that the plasmonic superlattices made by 55 nm Au@Ag NSs exhibit the strongest Raman response, highest sensitivity, lowest detection limit, good spatial uniformity, and broad applicability. Simulations and Raman mapping experiments further confirm that Au@Ag NSs achieve an optimal balance between hotspot density and plasmonic field intensity, allowing for direct identification and quantification of diverse biochemical targets. Full article

The A* algorithm is widely used in path planning for Automated Guided Vehicles (AGVs), but the path it generates is prone to collision with random obstacles. To address this issue, this paper proposes a hybrid path planning algorithm integrating the improved A* algorithm with Dynamic Window Approach (DWA). Firstly, a global key point extraction strategy is adopted, and Bresenham’s line algorithm is used to eliminate redundant path points and turning inflection points, optimizing the conciseness and continuity of the path while redefining the child nodes of the current position. Secondly, in complex environments, the inflection points of the global path are taken as the target points of DWA to segment the path, and local dynamic planning is combined to achieve real-time obstacle avoidance. Simulation results show that compared with the traditional A* algorithm, the improved algorithm reduces the planning time by 24.19%, decreases the number of inflection points by 40.00%, and shortens the path length by 1.49%. In environments with random obstacles, the path generated by the hybrid algorithm is smoother, which can effectively enhance the local obstacle avoidance capability and improve the safety of path planning. Furthermore, physical experiments on an AGV platform with a distributed master-slave control architecture (STM32 microcontroller and Jetson embedded processor) verify the algorithm’s hardware compatibility and real-time computing performance, validating its engineering applicability in practical industrial scenarios. Full article

Accurate perception and interpretation of the road environment are essential for safe driving. Vertical traffic signs play a key role in communicating warnings, regulations, and guidance to road users, thereby supporting safe and efficient traffic flow. However, their effectiveness depends not only on proper design and placement but also on how accurately and promptly they are perceived by drivers, which may be influenced by factors such as attention, cognitive workload, physical and mental condition, and fatigue. This study evaluates the contribution of selected vertical traffic signs to driving safety along a designated roadway section in Şanlıurfa, Türkiye. Face-to-face surveys were conducted with 480 active road users. Drivers’ knowledge, compliance behavior, safe route preferences, perceived visibility, and the effects of missing or inadequate signage were analyzed. The results indicate that driving exposure, education level, and experience significantly influence knowledge and perception of traffic signs, while compliance shows limited variation. These findings suggest that knowledge alone does not necessarily translate into behavioral compliance and underscore the importance of considering both driver-related factors and infrastructure characteristics in traffic safety strategies. The study provides practical insights for improving the visibility, placement, and overall effectiveness of vertical traffic signs in rapidly developing urban environments. Full article

Amid rapid urbanization in China, widespread gated residential districts have created physical and visual isolation from surrounding nature, undermining environmental benefits and daily accessibility. The emergence of a twenty-first-century “sharing” paradigm reshapes how buildings and landscapes are used and experienced, opening new opportunities for diversified sharing between communities and natural systems. Yet, despite mature research on city-scale landscape sharing, micro-scale tools to balance sharing versus exclusive route allocation—and to operationalize cross-system sharing-route design—remain limited. This study examines nature-integrated community design through the Landscape Route Sharing Ratio (LRSR), a metric derived from the Length and Density of Sharing Landscape Route (L_s/D_s), the Length and Density of Non-shared Landscape Route (L_ns/D_ns). It analyzes eight cases using a mixed-methods approach (field surveys, spatial mapping, planning-document review and quantitative measurement), and identifies five core cross-system features through typological analysis: extension to surrounding landscapes (ENL), cross-boundary landscape axes (CBLA), multi-scale hierarchy (MSH), multi-elevation systems (MES), and non-motorized priority (NMP). This study demonstrates that higher LRSR values significantly enhance landscape integration and pedestrian experiences. By establishing actionable target ranges (0.50–0.70), the research provides a practical decision-support tool for nature-integrated community design, advancing the methodological understanding of how shared routes foster ecological and social vitality in contemporary urban environments. The framework effectively bridges the gap between quantification with design guidance for nature-integrated communities. Full article

The Xingqi (行气, breath circulation) pattern bronze mirrors of the Song Dynasty (960–1279 CE) represent a distinctive category of Daoist material culture in southern China. Despite their unique iconography, systematic research on their functions and religious significance has been lacking. This study examines sixteen Xingqi pattern bronze mirrors through iconographic analysis and textual research, integrating evidence from surviving Daoist scriptures and ritual manuals. Two primary types are identified: the “Tortoise-Swallowing and Crane-Breathing Style” and the “Sun and Moon Observing Style”. The former depicts practitioners imitating the breathing techniques of tortoises and cranes, while the latter shows figures gazing upward to ingest the essences of the sun and moon. Both motifs continue earlier health preservation traditions from the Pre-Qin (221–207 BCE) through Han dynasties, adapted within the Northern and Southern Song context. These mirrors were specifically used by Daoists along the middle Yangtze River for inner alchemy cultivation, particularly in visualized Cunsi (存思, contemplation practices). They were predominantly passed down through generations rather than buried, explaining their scarcity in archaeological contexts. These artifacts illuminate how Song Daoism translated abstract philosophical concepts into tangible, operable practices through material imagery. They provide new physical evidence for understanding historical Daoist cultivation methods and the materialization of religious experience. Full article

Heavy-load unmanned aerial vehicles (UAVs) are increasingly being applied in logistics, infrastructure installation, and emergency response missions, where complex payload dynamics and unstructured environments pose significant challenges to safe and efficient operation. Conventional manual teleoperation interfaces, such as dual-joystick control, impose a high cognitive workload and provide limited support for expressing high-level operator intent, while fully autonomous solutions remain difficult to deploy reliably under real-world uncertainty. To address these limitations, this paper proposes the Multimodal Fusion Cooperation Network (MFCN), an end-to-end shared autonomy framework that integrates speech commands, visual gestures, and haptic cues through cross-modal feature fusion to infer operator intent in real time. The fused intent representation is translated into dynamically feasible control commands by a cooperative control policy with embedded physics-aware constraints to suppress payload oscillations and ensure flight stability. Extensive semi-physical simulations and real-world experiments demonstrate that the MFCN significantly improves the task success rate, positioning accuracy, and payload stability while reducing the task completion time and operator cognitive workload compared with manual, unimodal, and heuristic multimodal baselines. Full article

Rock bursts frequently occur in the fault group area in China, seriously restricting the safe and efficient production of coal mines. Based on field investigation, physical experiments, and numerical simulation, this study investigates the rupture types and spatial evolution of microseismic events during the excavation of working face through fault group areas in the TB Coal Mine, where the hard roof asymmetric is cut by faults. It reveals the cooperative instability mechanism of faults and hard roof, as well as the mechanisms of rock burst. Targeted rock burst prevention measures are proposed, including “roof blasting to cut off dynamic and static load transfer” and “coal blasting to reduce abutment stress”. The results demonstrate the following: (1) during mining in fault group areas, the synchronous activation of faults induces shear-type and high-energy microseismic events and the subsequent movement of hard roof, which has been cut by faults, forms asymmetric parallelograms and symmetric inverted trapezoids, and induces tensile-type and high-energy microseismic events. The synchronous activation of faults and the breaking of the hard roof are identified as the primary reason for high-energy microseismic events. (2) As the fault dip angle approaches 90º, the compressive strength of the fault-segmented hard roof strata decreases. Under synchronous activation of faults, roof failure concentrates in the central, right, and left sections for fault combinations with dip angles of 70° + 70°, 90° + 70°, and 110° + 70°, respectively. (3) Numerical simulations reveal two rock burst mechanisms in faults—hard roof systems: a forward “high dynamic stress and high static stress” type and a rear “low dynamic stress and high static stress “ type, which is consistent with in situ monitoring data. (4) For the three stages in which the 502 working face approaches, passes through, and mines away from the fault group area, a stress relief scheme combining roof blasting and coal blasting is proposed. Compared with the 501 working face, during the mining of the 502 working face, the total microseismic frequency and energy decreased by 71.9% and 87.9%, respectively, and the effectiveness of these measures is verified. Full article

Maize (Zea mays L.) originated in tropical and subtropical regions. During its growth and development, cold stress severely threatens seedling survival rates and final yield by inducing oxidative stress, compromising cell membrane integrity, and causing “physiological drought.” The Domain of Unknown Function 966 (DUF966) gene family comprises a class of regulatory factors containing conserved domains of undetermined function. Although they are considered to be extensively involved in plant growth, development, and stress response, their specific roles within the maize cold-tolerance regulatory network remain to be explored. In this study, 10 ZmDUF966 family members were identified via genome-wide analysis, and their phylogenetic relationships, gene structures, conserved motifs, chromosomal localizations, and cis-acting elements were systematically analyzed. The results indicate that the ZmDUF966 family is highly conserved among Poaceae species, and its promoters are enriched with stress-responsive elements such as LTR and ABRE. The core gene, ZmDUF966-10, was significantly up-regulated (approximately 35-fold at 48 h, p < 0.05) as validated by RT-qPCR under cold stress and is post-transcriptionally regulated by conserved miRNAs such as zma-miR159. Further yeast two-hybrid experiments revealed a preliminary physical interaction between the ZmDUF966-10 protein and an ABA/WDS-induced protein, suggesting its potential involvement in ABA-mediated stress signaling, though functional validation remains to be conducted. In conclusion, this study identifies ZmDUF966-10 as a promising candidate gene that responds to cold signals through multi-level regulatory networks, providing a valuable gene resource for further functional characterization and potential application in cold-tolerant maize improvement. Full article

This study investigates the seismic response of reinforced soil retaining walls through reduced-scale 1 g shaking table experiments, with particular emphasis on deformation behavior and pore water pressure generation in saturated sandy soils. Physical models were constructed using Firuzkuh silty sand and extensible fabric reinforcement, considering two soil conditions: an undisturbed loose state and a compacted state with a relative density of 35%. Horizontal dynamic loading with peak acceleration ranging from 1 g to 3 g was applied, while acceleration, displacement, and pore water pressure responses were continuously monitored. The results demonstrate a pronounced depth-dependent pore water pressure response, with deeper soil layers exhibiting higher magnitudes and longer persistence of excess pore pressures. In the undisturbed loose sand, the excess pore water pressure ratio approached unity at depth, indicating near-liquefaction conditions. In contrast, moderate densification significantly reduced pore pressure buildup and promoted partial dissipation during shaking. Reinforcement and compaction were found to effectively limit lateral displacement and settlement, leading to improved seismic performance. The findings highlight the critical roles of soil fabric, density, and reinforcement in controlling deformation and liquefaction susceptibility of reinforced soil retaining walls under seismic loading. Full article

With the rapid development of electrified railways in high-altitude regions, section insulators in catenary systems frequently experience gap breakdown and surface flashover under low atmospheric pressure conditions, posing serious threats to safe train operation. This paper investigates the discharge mechanisms of section insulators in high-altitude environments and conducts research on discharge characteristics under extremely non-uniform electric fields, along with structural optimization. First, the physical mechanisms of gap discharge and surface flashover in section insulators are analyzed. A three-dimensional electric field simulation model of the section insulator is established, and numerical analysis is performed to reveal the electric field distribution characteristics. The results indicate that the electric field is predominantly concentrated at the junction between metal electrodes and insulators, as well as at the tip of the arcing horn. The local maximum field strength reaches 3.84 × 10⁵ V/m, exceeding the corona inception field strength of air, which readily induces discharge. Subsequently, power frequency and lightning impulse discharge tests are conducted in both plain region and regions at an altitude of 4300 m. The results show that under high-altitude conditions, the power frequency breakdown voltage decreases by 28%, and the 50% lightning impulse breakdown voltage decreases by 42%. The discharge voltages under standard atmospheric conditions are obtained through correction. Finally, optimization schemes involving arcing horn structural modification and surface coating application are proposed. Adjusting the arcing horn angle to 55° and adding a grading ring structure with a radius of 70 mm reduces the local maximum field strength by 26%. After applying an RTV insulating coating, the field strength at the junction decreases by 35.9%, effectively enhancing the insulation performance of section insulators in high-altitude regions. Full article

Background: Ultimate Frisbee (UF) is an intermittent team sport with distinct positional roles (cutters and handlers), yet evidence integrating anthropometric, body composition, and physical performance profiles by playing position remains limited. This study aimed to examine positional differences in these variables among male UF players. Methods: Forty male players (age: 25.13 ± 3.76 years; 7.0 ± 2.5 years of training experience) participated in this cross-sectional design, including 20 cutters and 20 handlers. Anthropometry, body composition, and dynamic balance variables were analyzed using independent-samples t-tests or Mann–Whitney U tests, as appropriate. Positional differences in somatotype and physical performance were analyzed using a one-way multivariate analysis of variance (MANOVA). Results: No positional differences were observed in general anthropometric variables (p > 0.05). However, handlers exhibited higher body fat percentage (14.32 ± 2.37 vs. 11.95 ± 2.45; p = 0.028), fat mass (11.08 ± 2.51 vs. 8.95 ± 2.67 kg; p = 0.049), and endomorphy (4.15 ± 1.22 vs. 2.99 ± 1.30; p = 0.002) than cutters. In contrast, cutters demonstrated higher speed (20 m sprint: 3.11 ± 0.17 vs. 3.21 ± 0.15 s; p < 0.05), agility (10.16 ± 0.69 vs. 10.69 ± 0.61 s; p < 0.05), and vertical jump performance (Counter Movement Jump: 40.93 ± 6.54 vs. 36.38 ± 4.71 cm; p < 0.05; Abalakov: 46.39 ± 7.88 vs. 40.20 ± 4.68 cm; p < 0.01). No differences were found in intermittent endurance (Yo-Yo Intermitent Recovery Test1): 982 ± 354 vs. 940 ± 348 m), upper-limb power, or dynamic balance. Conclusions: These findings indicate that playing position in UF is characterized by distinct body composition and lower-limb neuromuscular performance profiles, whereas intermittent endurance, upper-limb power, and balance represent shared physical requirements across positions. Full article

The impact of large boulders transported by debris flows is a primary cause of structural damage to mitigation works. However, quantitative modeling remains difficult because of the scarcity of field measurements and the complexity of the flow medium. In this study, a theoretical model for boulder impact force in debris flows is developed using dimensional analysis based on the Buckingham theorem, subsequently simplified to two dimensionless parameters, and then validated through a series of controlled laboratory experiments. Marble spheres were used as impactors and were released to strike a rigid steel plate under three types of media: clear water, bentonite slurry, and debris flows containing particles of different size classes. The experiments were designed to isolate and quantify the influence of the flow rheology and the suspended solid phase on impact forces. The results show that the impact coefficient c is strongly governed by the debris flow yield stress, bulk density, and the size of suspended particles, following the relationship c = 0.183[τ/(rgd₁)]^−0.1(d/d₀)^0.05. Based on this relationship, a generalized formula for calculating boulder impact forces in debris flows is proposed. The model is further evaluated using field monitoring data from Jiangjiagou, Yunnan Province. The back-calculated boulder diameters fall predominantly within the range of 0.1–0.3 m (76.3–86.8%), which is consistent with field observations. These results indicate that the proposed model captures the essential physical mechanisms governing boulder impacts and provides a rational basis for selecting design parameters in debris flow mitigation engineering. The array-type piezoelectric impact sensing system designed in this study achieves high-precision and high-stability measurement of the impact force of large boulders in debris flows, providing a new sensing technology for debris flow impact monitoring. Full article

The place and people of Waiʻanae, Hawaiʻi, are rich in connection with ʻāina (natural environment) and culture. Counter to this strengths-based approach, metrics and narratives imposed by outside systems assess many communities like ours as “sick,” “poor,” or “unwell.” This paper details our community’s approach to defining “well-being” around the values specific to our place, overseen by a council of community leaders with decades of experience supporting youth. The development was a mixed methods process including formal focus groups, informal community conversations, review of existing models, and collaboration with a professional artist. Centering community was the priority through each phase, engaging youth, parents, cultural practitioners, healthcare providers, and educators. Our community built the Kaiona Framework around the moʻolelo (traditional story) of Kaiona who helps the lost find home through empathy and compassion. Well-being is grounded in connection to, in relationship with, and in service to ʻāina. The child is at the center of our work, but inseparable from the family, community, and wider nation of people. Wellness comprises four values vital to our community: mauli ola, a balanced state of physical, mental, emotional, spiritual, and environmental health; waiwai, abundance and prosperity; pilina, mutually sustaining relationships; and ea, self-determination and agency. Full article

Spring frosts pose a major threat to tea production, causing severe damage to tender spring buds and substantial economic losses. To support timely frost protection measures, this study develops an interpretable machine learning framework for next-day frost forecasting in a tea plantation in Danyang, eastern China. Leveraging nine years (2008–2016) of multi-source data—including high-resolution on-site meteorological observations and daily records from surrounding regional stations—we engineered a comprehensive set of predictive features capturing local microclimatic, regional synoptic, and short-term temporal dynamics. A two-stage feature selection approach, combining Spearman correlation screening with SHAP-based importance ranking, identified an optimal subset of 14 robust predictors. Among eight benchmarked models, XGBoost achieved the best performance on a chronologically held-out test set, yielding a CSI of 0.736, accuracy of 91.0%, F1-Score of 0.848 and AUC-ROC of 0.968. Ablation experiments demonstrated the added value of data integration: model performance improved from a CSI of 0.617 (using only local data) to 0.736 (with full multi-source inputs). SHAP interpretability analysis further revealed that the model’s predictions align with established frost formation physics, highlighting key drivers such as nocturnal cooling rate and regional humidity. This work demonstrates that integrating multi-scale meteorological data with interpretable machine learning offers a reliable, transparent, and operationally viable tool for frost risk management—providing actionable insights to enhance resilience in precision horticulture for perennial crops like tea. Full article