Neurobiological Changes Induced by Mindfulness and Meditation: A Systematic Review by Andrea Calderone, Desirée Latella, Federica Impellizzeri, Paolo de Pasquale, Fausto Famà, Angelo Quartarone, Rocco Salvatore Calabrò

“…<b><i>Results:</i></b> Mindfulness-Based Stress Reduction (MBSR) enhances brain regions related to emotional processing and sensory perception, improves psychological outcomes like anxiety and depression, and exhibits unique mechanisms of pain reduction compared to placebo. …”
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A Review of Environmental Sensing Technologies for Targeted Spraying in Orchards by Yunfei Wang, Zhengji Zhang, Weidong Jia, Mingxiong Ou, Xiang Dong, Shiqun Dai

“…Precision pesticide application is a key focus in orchard management, with targeted spraying serving as a core technology to optimize pesticide delivery and reduce environmental pollution. …”
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Contrasting Trends in Onset of Spring Green‐Up Between Grasslands and Forests in China by Ying Hu, Bojie Fu, Katerina Michaelides, Martin G. De Kauwe, Jian Wang, Miaogen Shen, Wenmin Zhang, Yue Wang, Xiangming Xiao, Yuanwei Qin, Xiaoming Feng, Chaoyang Wu, Yongzhe Chen, Zhuangzhuang Wang, Lingfan Wan

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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

“…We present a hybrid deep learning model that integrates Convolutional Neural Networks (CNNs) with Vision Transformers (ViTs). By optimizing and integrating grid and block attention mechanisms with InceptionNeXt blocks, the proposed model effectively captures both fine-grained and large-scale features in CT images. …”
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Preventive methods of injury of spring wheat seeds by M. Kh. Sharafutdinov, L. S. Nizhegorodtseva, R. I. Safin

“…Injuries have negative effect on sowing and phyto sanitary properties of wheat seeds. The seeds can be mechanically injured during harvesting and processing, and they can be injured by pests and diseases during vegetation period. …”
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Microbial Bioremediation of Petroleum Contaminated Soil: Structural Complexity, Degradation Dynamics and Advanced Remediation Techniques by Pratik Kakde, Jaigopal Sharma

“…Each of the three microbial processes, biodegradation, bioaugmentation, and biostimulation, is covered in detail in the paper, along with the complex mechanics underlying each technique. …”
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Machine Learning-Based Approaches and Comparisons for Estimating Missing Meteorological Data and Determining the Optimum Data Set in Nuclear Energy Applications by Fatih Topaloglu

“…Good data analysis is required for the optimal design of nuclear energy projects. However, due to financial or technical reasons, data cannot be collected regularly, which leads to missing data problems. …”
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Cellular senescence in renal ischemia-reperfusion injury by Ying Chen, Li Yang, Sihan Zhou

“…This review provides an overview of the defining features of senescent cells and explores the fundamental mechanisms underlying senescent cell generation following IRI. …”
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A multi strategy bidirectional RRT* algorithm for efficient mobile robot path planning by Yourui Huang, Wenxin Jiang, Shanyong Xu

“…In the post-processing phase, a Bézier curve-based smoothing strategy is employed to improve trajectory continuity and dynamic controllability. …”
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Behavioral Economics and Online Donation Behavior on TikTok by Rukiah Rukiah, Ahmad Salman Farid

“…The discussion highlights how choice architecture and platform design facilitate seamless donation experiences. Social influence mechanisms, such as herd behavior and bandwagon effects, further enhance donation participation. …”
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Deciphering the molecular signatures of tropical Areca catechu L. under cold stress: an integrated physiological and transcriptomic analysis by Han Li, Linbi Zhang, Xinyu Wen, Changlei Ji, Hui Chen, Meng Tian, Fusun Yang, Jun He, Jun He

“…The findings of this study delineate three key aspects: (1) temporal dynamics of cold-responsive physiological processes, (2) pathway-level characterization of DEG enrichment patterns, and (3) genetic determinants underlying cold stress adaptation.DiscussionThese findings clarify the time series and core physiological indicators of A. catechu during various physiological processes, identify pivotal genes associated with cold stress, and provide a gene-to-phenotype framework for optimizing cold-resilient cultivation protocols and molecular marker-assisted breeding strategies.…”
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Soil moisture retrieval and spatiotemporal variation analysis based on deep learning by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Liya Shi, Wen Ma

“…Traditional monitoring methods are limited in large-scale and real-time applications, and the complex mechanisms of soil processes complicate modeling. However, deep learning provides a promising approach to capturing the complex nonlinear relationships between feature parameters and soil moisture content. …”
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Research on monitoring and early warning systems for mine water: Progress and prospects by Shangxian YIN, Yingying DING, Huiqing LIAN, Donglin DONG, Tong DU, Huichao YIN, Peng ZHAO, Yi’an ZHANG, Xiong WANG

“…This overall development direction includes seven specific directions: constructing a comprehensive index system, optimizing the layout of the perception system, total-factor joint monitoring of multiple disasters, establishing geological-hydrological models + deep learning-based prediction models, setting early warning rules and factor thresholds, real-time and advance warning, and image monitoring and big data processing. …”
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A novel approach of drowsiness levels detection using Vis-Net combined with facial emotion by Thuong-Cang Phan, Anh-Cang Phan, Ngoc-Hoang-Quyen Nguyen

“…Furthermore, to improve response time latency and reduce computational costs, our model integrates Mostafa’s emotion detection framework. This integration optimizes the processing pipeline by filtering non-relevant frames, prioritizing critical fatigue-related facial expressions, and enhancing real-time performance. …”
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Turbulence Theory for the Characterization of the Surface Urban Heat Island Signature by Gabriel I. Cotlier, Juan Carlos Jimenez, José Antonio Sobrino

“…The observed spectral breakpoints offer a diagnostic tool for identifying critical scales at which urban heat mitigation strategies—such as green infrastructure, optimized urban ventilation, and reflective materials—can be most effective. …”
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EVALUATION AND CHOICE OF FORMS OF STATE REGULATION OF INTENSIFICATION OF ECONOMIC GROWTH by S. V. Ignat'ev

“…These tendencies also bring to the fore the necessity of choosing the most optimal forms of state regulation, ensuring the rational combination of market mechanisms and administrative interference in the economy.Purpose. …”
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Microservices for information support of multi-agent systems: methods of collection, monitoring and decision-making by A. A. Bryzgalov

“…The methodology includes adaptive management of SLA parameters, the use of distributed data processing and the use of analytical algorithms for decision-making, as well as mechanisms to identify potential threats and unauthorized access.Results. …”
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Direct inhibition of T-cell responses by the Cryptococcus capsular polysaccharide glucuronoxylomannan. by Lauren E Yauch, Jennifer S Lam, Stuart M Levitz

“…Thus, we have defined a new mechanism by which GXM can impart virulence: direct inhibition of T-cell proliferation. …”
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Site-specific prediction of O-GlcNAc modification in proteins using evolutionary scale model. by Ayesha Khalid, Afshan Kaleem, Wajahat Qazi, Roheena Abdullah, Mehwish Iqtedar, Shagufta Naz

“…Protein glycosylation, a vital post-translational modification, is pivotal in various biological processes and disease pathogenesis. Computational approaches, including protein language models and machine learning algorithms, have emerged as valuable tools for predicting O-GlcNAc sites, reducing experimental costs, and enhancing efficiency. …”
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Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course by Handityo Aulia Putra, Kaechang Park, Kaechang Park, Fumio Yamashita

“…These regions are implicated in attention, spatial cognition, visual processing, and somatosensory integration-functions critical for safe driving. …”
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