Regulatory effects and research prospects of green leaf volatiles on plant resistance and soil ecology(绿叶挥发物对植物抗逆和土壤生态的调控作用与研究展望) by 张诗苑(ZHANG Shiyuan), 刘子琳(LIU Zilin), 徐建明(XU Jianming), 胡凌飞(HU Lingfei)

“…Furthermore, the focus extended to exploring the potential of GLVs in shaping soil rhizosphere ecological processes. Investigating the regulatory effects and mechanisms of GLVs on soil ecosystems offers novel insights for improving soil health and optimizing farmland productivity. . …”
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THE EFFECTIVENESS OF THE DEVELOPMENT OF TERRITORIES IN THE STATE REGIONAL SYSTEM POLITICIANS by Natallia Gavkalova, Ludmila Avedyan, Oleksandr Akimov, Liudmyla Akimova, Victoria Belyavtseva

“…A set of measures was proposed to optimize the processes of managing the development of territories, in particular, the creation of mechanisms for combating post-pandemic consequences, stimulating purchasing consumer demand at the local level, improvement of tax policy, creation of favourable conditions for improving the qualification level of employees, rationalization of the financial redistribution mechanism resources between different territories, as well as between regional and state budgets, dissemination of effective anti-corruption practices at the local level. …”
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Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

“…The model comprises three main modules: a TransforRS-Mamba module that integrates the sequence processing capabilities of the Mamba model with the attention mechanism of the Transformer to effectively merge spatial and spectral features; an improved spatial proximity-aware attention mechanism (SPPAM) that utilizes a spatial constraint matrix to greatly enhance the recognition of complex object relationships; and an optimized spatial proximity-constrained gated fusion module (SPCGF) that integrates spatial proximity constraints with residual connections to boost the recognition accuracy of key object features. …”
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Numerical study of the transition zone between laminar and turbulent flows for the flow plate problem by Madaliev Murodil, Abdujalilova Shairakhon, Tоjiyev Rasuljon, Sadulayev Xamidullo, Sulaymanov Abdurakhmon, Otakulov Bakhromjon, Tohirov Islomjon

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Synergistic water production by a combined atmospheric water generator and distillation powered by solar energy: a numerical analysis for Iran by Sajad Saadi, Shiva Gorjian, Barat Ghobadian, Saeid Minaei

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The Potential Use of Digital Twin Technology for Advancing CAR-T Cell Therapy by Sara Sadat Aghamiri, Rada Amin

“…However, its therapeutic efficacy in solid cancers is often limited by tumor evasion mechanisms, resistance pathways, and an immunosuppressive tumor microenvironment. …”
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Expert Consensus on Diagnosis and Treatment of NSCLC with MET Abnormalities 
(2025 Version) by Jun CHEN, Baohui HAN, Yi HU, Jian HU, Lung Cancer Specialty Committee of Chinese Elderly Health Care Association

“…The mesenchymal-epithelial transition factor (MET) gene, located on human chromosome 7, plays a crucial role in the regulation of physiological processes such as cell proliferation, migration, invasion, and angiogenesis. …”
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All-optical memory based on surface plasmons and Kerr-type nonlinear cavity by Dariush Jafari, Mohammad Danaie

“…These advantages position the proposed design as an ideal candidate for high-performance optical computing systems and on-chip memory applications, addressing key challenges in photonic data processing.…”
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Invited Review: Inflammation and Health in the Transition Period Influence Reproductive Function in Dairy Cows by Tony C. Bruinjé, Stephen J. LeBlanc

“…In the early postpartum period, dairy cows undergo significant adaptations in Ca and lipid metabolism, immune function, and inflammatory processes. Concurrent exposure to endotoxins from the uterus, gastrointestinal tract, or mammary gland increases the risk of disease and reproductive problems. …”
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Balancing prior knowledge and sensory data in a predictive coding model of coherent motion detection. by Elnaz Nemati, David B Grayden, Anthony N Burkitt, Parvin Zarei Eskikand

“…This study introduces a neurobiologically inspired computational model based on the predictive coding algorithm, providing insights into coherent motion detection processes. The model is designed to reflect key principles observed in the visual system, particularly MT neurons and their surround suppression mechanisms, which play a critical role in detecting global motion. …”
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Wettability alteration and IFT reduction during carbonated water injection; a critical investigation into the role of pH by Zoha Dalal Isfehani, Jalal Fahimpour, Mohammad Sharifi, Hossein Khalili, Mohammad Saeid Tayebi

“…Gaining insight into these processes is essential for optimizing EOR strategies, improving predictive models, and enhancing CO2 sequestration. …”
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Rewiring the seizing brain: stem cell grafts as neuromodulatory architects in epilepsy therapy by Zijie Wang, Yanan Ma, Xiqi Hu, Ying Xia

“…Future research should focus on optimizing stem cell selection and processing, designing robust clinical trials to evaluate long-term safety and efficacy, exploring combinatorial approaches with existing therapies, and developing advanced biomaterials to enhance transplantation success. …”
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Deep Q-Networks for Minimizing Total Tardiness on a Single Machine by Kuan Wei Huang, Bertrand M. T. Lin

“…This underscores the capacity of advanced machine learning techniques to improve industrial scheduling processes, potentially leading to decent operational efficiency.…”
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A method for English paragraph grammar correction based on differential fusion of syntactic features. by Weiling Liu, Caijun Zhao, Yongyi Li, Chenglong Cai, Hong Liu, Ruilin Qiu, Ruoci Su, Bingbing Li

“…This study not only presents a powerful approach to English grammar error correction, but also highlights the key value of syntactic features in optimizing natural language processing applications.…”
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Trade-off/Synergy Networks and Threshold Effects in Different Ecosystem Service Bundles of the Pearl River Delta Region by Li Ting, Li Zhiwen, Chen Dengshuai, Li Huixia, Xu Haofan

“…Clarifying different ecological processes and mechanisms within and among different ecological functional zones is of great practical significance for formulating refined spatial ecological management strategies. …”
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Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…Finally, the Attention Mechanism (AM) was applied to extract key temporal node information. …”
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Theoretical provisions of programming of strategic development of industry in the conditions of the formation of Industry 5.0 by Glukhov Vladimir, Babkin Aleksandr, Batukova Louisa, Shkarupeta Elena, Makhmudova Guljakhon

“…The latter is a special organizational mechanism, which removes or significantly alleviates the problem of subjectivity, inconsistency, untimeliness, inadequacy of management decisions in conditions of high organizational and scientific and technological complexity of management facilities, volatility and uncertainty of their external environment, a large number of stakeholders influencing the decision-making processes. …”
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ABA-induced alternative splicing drives transcriptomic reprogramming for drought tolerance in barley by Anna Collin, Hubert Matkowski, Ewa Sybilska, Asmarany Biantari, Oliwia Król, Agata Daszkowska-Golec

“…At the molecular level, ABA priming accelerates stress-response pathways, promoting alternative splicing, isoform switching, and chromatin modifications that enable transcriptome plasticity. These processes facilitate faster recovery and sustain critical yield components, such as spike number and grain weight, when ABA is applied at optimized timing and concentrations. …”
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Effects of EDTANa2Fe on phytoavailability of cadmium and arsenic to rice (Oryza sativa L.) by Xinhui Zhang, Hong Shuai, Chao Xu, Zhongyuan Wang, Shen Zheng, Hanhua Zhu, Daoyou Huang, Quan Zhang, Qihong Zhu

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Mathematical modeling of the interaction between endocrine systems and EEG signals by Wei Liu

“…Traditional mathematical models often fail to capture the nonlinear dynamics, feedback mechanisms, and cross-system interactions inherent in these processes, limiting their applicability in clinical and research settings.MethodsThis study proposes a novel framework for modeling and analyzing the interaction between endocrine regulatory systems and EEG signals, leveraging advanced methodologies such as the Hormone Interaction Dynamics Network (HIDN) and the Adaptive Hormonal Regulation Strategy (AHRS). …”
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