The valuable characteristics of oats genotypes and resistance to Fusarium disease by I. G. Loskutov, E. V. Blinova, O. P. Gavrilova, T. Yu. Gagkaeva

“…The artificial infection with Fusarium sporotrichioides Sherb. was used to evaluate bacterial loads and mycotoxin contamination in the oat genotypes. An integral analysis has shown that the duration of the second half of the vegetation period, resistance to lodging and pathogen infection, plant height and panicle elongation facilitate grain infection. …”
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Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification by Aili Wang, Guilong Lei, Shiyu Dai, Haibin Wu, Yuji Iwahori

“…The classification results indicate that the proposed framework, by fully utilizing spatial context information and effectively integrating feature information, significantly outperforms state-of-the-art classification methods.…”
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Long-term effects of post-earthquake landslides on vegetation ecosystem net carbon by Wen He, Baofeng Di, Shaolin Wu, Jierui Li, Wen Zeng, Yajie Zeng, Ruowei Li, Joseph Kimuli Balikuddembe, Hongkai Chen, Bin Zhang, Gang Chen, Constantine A. Stamatopoulos, Ufuk Yazgan, Isaya Kisekka

“…Using landslide inventories and satellite data, we applied the Seasonal Autoregressive Integrated Moving Average Model (SARIMA) model and Bayesian change-point detection to examine long-term effects of post-earthquake landslides on vegetation ecosystem net carbon uptake (ENCU). …”
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Interfacial Acid‐Like Microenvironment and Orbital Modulating Strategy toward Efficient Hydrogen Evolution in Neutral High‐Salinity Wastewater/Seawater by Lina Xu, Wei Li, Kuanchang He, Dongmei Ma, Jinxing Ma, Kui Yang, Abid Ahmad, Faliang Cheng, Sihao Lv, Defeng Xing

“…Herein, an iron‐based electrocoagulation‐coupled hydrogen production integrated system (IEHPS) is constructed, which is realized by coupling low‐potential anodic iron oxidation reaction with cathodic HER. …”
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Genetic diversity analysis of apricots from Dagestan using SSR markers by D. M. Anatov, I. I. Suprun, I. V. Stepanov, S. V. Tokmakov

“…Such isolation is partial, being obviously affected by constant integration of new apricot genotypes into the local gene pool and its enrichment with new alleles at the genetic level.Conclusion. …”
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Beyond Text Generation: Assessing Large Language Models’ Ability to Reason Logically and Follow Strict Rules by Zhiyong Han, Fortunato Battaglia, Kush Mansuria, Yoav Heyman, Stanley R. Terlecky

“…Therefore, we urge caution when integrating LLMs into critical fields and highlight the need for further research into their capabilities and limitations to ensure responsible AI development.…”
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Green awakening: The rising influence of minority shareholders And ESG in shaping China's sustainable future by Shanshan Yue, Norkhairul Hafiz Bajuri, Guang Ye, Farid Ullah

“…Third, by analyzing regional heterogeneity, this research highlights the unique dynamics of ESG effectiveness in transitional economies like China. Integrating stakeholder and signaling theories, this study underscores the transformative potential of combining robust MSP mechanisms with credible ESG signals for achieving sustainable innovation.…”
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State of the art progress of Evolvulus alsinoides in pharmacological activity and plant tissue culture: A potent Chinese medicinal plant by Collince Omondi Awere, Valentine Chikaodili Anadebe, Rakkammal Kasinathan, Pandiyan Muthuramalingam, Ramesh Manikandan

“…This study provides a touchstone to integrate current information and identify areas for future research on E. alsinoides as a multifunctional plant, with applications in pharmacology and beyond.…”
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From Data to Delight: Leveraging Social Customer Relationship Management to Elevate Customer Satisfaction and Market Effectiveness by Ibrahim A. Elshaer, Alaa M. S. Azazz, Sameh Fayyad, Shaimaa A. Mohamed, Amr Mohamed Fouad, Eslam Ahmed Fathy

“…Based on the findings of this study, the three integrated theories provide a single framework to delve deeply into the intricate association between social media customer involvement to enhance hotel performance. …”
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Blood proteomics and multimodal risk profiling of human volunteers after incision injury: A translational study for advancing personalized pain management after surgery by Daniel Segelcke, Julia R. Sondermann, Christin Kappert, Bruno Pradier, Dennis Görlich, Manfred Fobker, Jan Vollert, Peter K. Zahn, Manuela Schmidt, Esther M. Pogatzki-Zahn

“…Taken together, we present here an integrated pipeline that harnesses bio-psycho-physiological data for prognostic prediction in a translational approach. …”
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Current Status and Future Directions of Artificial Intelligence in Post-Traumatic Stress Disorder: A Literature Measurement Analysis by Ruoyu Wan, Ruohong Wan, Qing Xie, Anshu Hu, Wei Xie, Junjie Chen, Yuhan Liu

“…However, there are numerous challenges, and fully realizing AI’s potential will require overcoming hurdles in algorithm design, data integration, and societal ethics. To promote more extensive and in-depth future research, it is crucial to prioritize the development of standardized protocols for AI implementation, foster interdisciplinary collaboration—especially between AI and neuroscience—and address public concerns about AI’s role in healthcare to enhance its acceptance and effectiveness.…”
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Hyperthermia and targeting heat shock proteins: innovative approaches for neurodegenerative disorders and Long COVID by David M. Smadja, David M. Smadja, M. Marc Abreu, M. Marc Abreu

“…Future research must focus on targeted clinical trials, biomarker identification, and personalized treatment strategies to optimize WBH's efficacy in NDs and Long COVID. The integration of WBH into therapeutic paradigms could mark a transformative step in addressing these complex conditions.…”
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Incremental Value of Genotype Bins over the HAS-BLED Score for the Prediction of Bleeding Risk in Warfarin-Treated Patients with Atrial Fibrillation by Jia Liu, Guanyun Wang, Liu’an Qin, Yangxun Wu, Yuting Zou, Xuyun Wang, Ziqian Wang, Yuyan Wang, Shizhao Zhang, Yuxiao Zhang, Tong Yin

“…With the addition of genotype bins, the performance of the HAS-BLED score for bleeding risk prediction was significantly improved (c-statistic from 0.60 to 0.64 for clinically relevant bleeding and from 0.64 to 0.70 for major bleeding, P<0.01). Using the integrated discriminatory, net reclassification improvement, and decision curve analysis, the HAS-BLED score plus genotype bins could perform better in predicting any clinically relevant bleeding than the HAS-BLED score alone. …”
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Revisiting the Metabolism of Donepezil in Rats Using Non-Targeted Metabolomics and Molecular Networking by Eun-Ji Park, Eui-Hyeon Kim, Ki-Young Kim, Ji-Hyeon Jeon, Im-Sook Song, So-Young Park, Kwang-Hyeon Liu

“…Therefore, this study aims to investigate the in vivo metabolism of donepezil using liquid chromatography–high-resolution mass spectrometry (LC-HRMS) based on a molecular networking (MN) approach integrated with a non-targeted metabolomics approach. …”
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Retrospectively understanding the multifaceted interplay of COVID-19 outbreak, air pollution, and sociodemographic factors through explainable AI by Mohmmed Talib, Kripabandhu Ghosh, Gopala Krishna Darbha

“…The primary objective centers on deploying explainable AI (XAI) methodologies to elucidate the intricate pathways and latent mechanisms governing these associations.A multi-faceted approach was employed integrating ecological study, hybrid-ML, and XAI techniques to characterize the underlying dependencies and interactions driving the pandemic's spatiotemporal evolution and system dynamics. …”
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TDCN: A novel temporal depthwise convolutional network for short-term load forecasting by Mingping Liu, Chenxu Xia, Yuxin Xia, Suhui Deng, Yuhao Wang

“…However, with the growing integration of renewable energy sources like wind power and photovoltaics, load data have become increasingly complex and nonlinear, making accurate forecasting a challenging task in modern power systems. …”
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B-phosphatidylethanol testing to identify hazardous alcohol use in primary health care—a game changer and a challenge for general practitioners: a qualitative study by Åsa Steensland, Anna Segernäs, Mårten Larsson, Andrea Johansson Capusan, Lisa Kastbom

“…Four categories underpinned this theme: Comprehending the context, describing the challenges in the GP-patient interaction when hazardous alcohol use or AUD was suspected; Getting the pieces in place, illustrating the struggle of integrating PEth testing into clinical practice and how it diminished the role of alcohol history taking; The challenges and facilitators of the conversation, comprising both the difficulties in informing about PEth testing and the positive impact on the interaction, and Considerations based on the PEth test results, emphasising the consequences of elevated PEth test results and their influence on physicians’ motivation to using PEth.Conclusions PEth is an important tool in the identification of hazardous alcohol use. …”
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Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles by Xi Tang, Jingke He, Qin Huang, Yi Chen, Ke Chen, Jing Liu, Yingyu Tian, Hui Wang

“…Time-dependent C-index curves, integrated discrimination improvement, net reclassification index, and decision curve analysis showed that the nomogram outperformed FIGO staging.ConclusionThis study established and validated a nomogram combining CBC and lipid profiles to predict RFS in patients with optimally debulked EOC, which is expected to aid gynecologists in individualized prognosis assessment and clinical management.…”
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Lipids in parenteral nutrition – expert consensus statements: Translating guidelines into clinical practice by Robert G. Martindale, Philip C. Calder, Sarah V. Cogle, David C. Evans, Leah Gramlich, Stephen A. McClave, Manpreet S. Mundi, Maurizio Muscaritoli, Reid Nishikawa, Jayshil Patel, Lorenzo Pradelli, Martin Rosenthal, Christian Stoppe, Kelly A. Tappenden, Malissa Warren, Dan Waitzberg, Paul E. Wischmeyer, Stanislaw Klek

“…Summary: Lipids are integral to parenteral nutrition (PN) in all settings where PN is required, serving as a source of energy and essential fatty acids. …”
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SCM-YOLO for Lightweight Small Object Detection in Remote Sensing Images by Hao Qiang, Wei Hao, Meilin Xie, Qiang Tang, Heng Shi, Yixin Zhao, Xiaoteng Han

“…The SCM-YOLO detector consists of three innovative and lightweight modules: the Space Interleaving in Depth (SPID) module, the Cross Block and Channel Reweight Concat (CBCC) module, and the Mixed Local Channel Attention Global Integration (MAGI) module. These three modules effectively improve the performance of the detector from three aspects: feature extraction, feature fusion, and feature perception. …”
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