Discerning Genes to Deliver Varieties: Enhancing Vegetative- and Reproductive-Stage Flooding Tolerance in Rice by Sanchika Snehi, Kt Ravi Kiran, Sanket Rathi, Sameer Upadhyay, Suneetha Kota, Satish Kumar Sanwal, Bm Lokeshkumar, Arun Balasubramaniam, Nitish Ranjan Prakash, Pawan Kumar Singh

“…However, stagnant flooding (partial submergence of vegetative parts) during the reproductive phase inflicts severe damage on the rice crop, leading to reduced yields, heightened susceptibility to pests and diseases, lodging, and inferior grain quality. The ability to tolerate stagnant flooding can be ascribed to several adaptive traits: accelerated aerenchyma formation, efficient underwater photosynthesis, reduced radial oxygen loss in submerged tissues, reinforced culms, enhanced reactive oxygen species scavenging within cells, dehydration tolerance post-flooding, and resistance to pests and diseases. …”
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Effect of MgO-HPAM nanocomposite on the rheological and filtration properties of water-based drilling fluids by Pu Cao, Ayat Hussein Adhab, Dharmesh Sur, Abhinav Kumar, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Morug Salih Mahdi, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Khursheed Muzammil, Vahid Lavga

“…The study introduces an innovative approach to address the critical challenges in drilling technologies, emphasizing the need for stable and efficient drilling fluids in the oil and gas industry. …”
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Effect of diamond content on properties of Ni-Cu/diamond composites prepared by electron beam selective melting by Haodong LI, Haishan WANG, Yonggang FAN

“…Due to the loss of the metal matrix's ability to bind and hold them, the diamond particles fall off in clumps during wear and erosion tests, resulting in a significant decrease in wear resistance and erosion resistance of the specimens. …”
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Mechanical Biomimetic Nanocomposites for Multidimensional Treatment of Arterial Thrombosis by Ying Li, Qi Xiang, Yan Zhang, Fuxue Luo, Yunfang Wu, Haitao Ran, Yang Cao

“…This therapeutic approach represents a novel pathway for the multidimensional and efficient management of arterial thrombosis.…”
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Preparation and characterization of thermal neutron sensitive lithium doped polystyrene plastic scintillators by ZHANG Kaihui, LI Xiang, DENG Mingxue, SHI Yun, ZHOU Qi, WANG Ke, CHEN Junfeng

“…While the performance of lithium-doped plastic scintillators still requires further improvement, these materials hold great potential for applications requiring efficient dual-mode detection of both fast and thermal neutrons.…”
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Hyperspectral estimation of chlorophyll content in grapevine based on feature selection and GA-BP by YaFeng Li, XinGang Xu, WenBiao Wu, Yaohui Zhu, LuTao Gao, XiangTai Jiang, Yang Meng, GuiJun Yang, HanYu Xue

“…Comparison of the prediction ability of Random Forest Regression (RFR) algorithm, Support Vector Machine Regression (SVR) model, and Genetic Algorithm-Based Neural Network (GA-BP) on grape LCC based on sensitive features. …”
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Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea by Ziqiang Hua, Limin Lin, Wanting Yang, Linlin Ma, Meiling Huang, Bingmiao Gao

“…This work presents an efficient strategy for large-scale peptide structure prediction and activity screening, providing a valuable foundation for future pharmacological research.…”
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Vaccine Certificates Must Go Digital: An Urgent Call for Better Public Health Outcomes by Jarbas Barbosa da Silva Júnior, Sebastian Garcia-Saiso, Myrna Marti, Daniel Salas, Marcela Contreras, Martha Velandia-Gonzalez, Daniel Luna, Jennifer Nelson, James Fitzgerald, Ernesto Bascolo, Ivy Lorena Talavera Romero, May Chomali, Walter H Curioso, Fernando Plazzotta, Carlos Otero, Alejandro Lopez Osornio, Tessa Lennemann, Karen Salinas, Marcelo D'Agostino

“…In an era of unprecedented technological advancement, our continued reliance on paper-based vaccine certificates is not just anachronistic—it is a significant liability for global public health that impacts the efficiency and effectiveness of our health systems on multiple fronts, limiting our ability to respond to public health crises effectively. …”
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AI-driven demand forecasting for enhanced energy management in renewable microgrids: A hybrid LSTM-CNN approach by Bashiru olalekan ariyo, mutalub adesina lambe, olalekan ogunbiyi, musa abdulwaheed, bilkisu jimada ojuolape, monsurat omolara balogun

“…Aim/Background: The increasing integration of renewable energy sources into microgrids underscores the need for accurate demand forecasting to ensure stable and efficient microgrid operation. However, the inherent unpredictability of renewable energy sources presents significant challenges in energy management. …”
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Numerical assessment of ICRF-specific plasma-wall interaction in the new ITER baseline using the SSWICH-SW code by L. Colas, W. Helou, G. Urbanczyk, V. Bobkov, F. Calarco, N. Fedorczak, D. Milanesio, J. Hillairet

“…The simulated target plasma contains 2% of neon ions. These are efficient at sputtering W, already at low accelerating voltages. …”
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STF: A spherical transformer for versatile cortical surfaces applications by Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, John H Gilmore, Weili Lin, Xin Zhang, Gang Li

“…Across these applications, our model consistently outperforms state-of-the-art methods, demonstrating its ability to effectively model global dependencies and preserve detailed spatial information. …”
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Building a composition-microstructure-performance model for C–V–Cr–Mo wear-resistant steel via the thermodynamic calculations and machine learning synergy by Shuaiwu Tong, Shuaijun Zhang, Chong Chen, Tao Jiang, Peng Li, Shizhong Wei

“…To better understand the complex relationships between composition, microstructure, and performance in C–V–Cr–Mo wear-resistant steel, and to facilitate the rapid and efficient development of high-alloy steels for extreme working conditions, this study proposes a collaborative approach that integrates thermodynamic calculations and machine learning. …”
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Can patient-reported profiles avoid unnecessary referral to a spine surgeon? An observational study to further develop the Nijmegen Decision Tool for Chronic Low Back Pain. by Miranda L van Hooff, Johanna M van Dongen, Veerle M Coupé, Maarten Spruit, Raymond W J G Ostelo, Marinus de Kleuver

“…The primary outcome was functional ability: 'response' (Oswestry Disability Index [ODI] ≤22) and 'non-response' (ODI ≥41).…”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…In contrast, classical machine learning techniques offer a more efficient alternative but are often overlooked due to a lack of focus on data pre-processing, which is critical for achieving optimal performance. …”
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Feedback-Based Validation Learning by Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi

“…These remarkable results underscore FBVL’s ability to optimize performance on established datasets and its capacity to minimize loss. …”
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A Novel Hybrid Technique for Detecting and Classifying Hyperspectral Images of Tomato Fungal Diseases Based on Deep Feature Extraction and Manhattan Distance by Guifu Ma, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…The proposed hybrid method includes three main steps: (1) preprocessing of hyperspectral image cubes, (2) deep feature extraction using the EfficientNet model, and (3) classification using Manhattan distance within a few-shot learning framework. …”
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Improving Prognostic Accuracy of MASCC Score with Lactate and CRP Measurements in Febrile Neutropenic Patients by Efe Kanter, Ecem Ermete Güler, Süleyman Kırık, Tutku Duman Şahan, Melisa Buse Baygın, Emine Altınöz, Ejder Saylav Bora, Zeynep Karakaya

“…The MASCC-LC model demonstrated the highest discriminative ability for mortality prediction (area under the curve (AUC): 0.995; sensitivity: 100%; specificity: 98%). …”
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Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study. by Xueliang Guo, Lin Sun

“…Moreover, the efficacy of the proposed machine learning models demonstrated superiority over existing research in the field. The computational efficiency and the ability to handle long-distance dependencies of the model make it particularly suitable for applications in clinical Settings. …”
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Oxacillin-Supplemented Mueller-Hinton Agar for In Vitro Inhibition of Ambler Class C β-Lactamases in Enterobacterales by Edgar-Costin Chelaru, Andrei-Alexandru Muntean, Mădălina-Maria Muntean, Mihai-Octav Hogea, Costin-Ștefan Caracoti, Bogdan-Florin Ciomaga, Thierry Naas, Mircea Ioan Popa

“…<b>Conclusions</b>: The use of MHO300 proved to be efficient in inhibiting AmpCs, allowing differentiation between AmpC hyperproducers and carbapenemase producers. …”
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Chloride-dependent plasma membrane hyperpolarization confers superior salinity tissue tolerance in wild rice Oryza coarctata by Ping Yun, Celymar Angela Solis, Babar Shahzad, Lana Shabala, Meixue Zhou, Gayatri Venkataraman, Zhong-Hua Chen, Sergey Shabala

“…It is concluded that O. coarctata possesses a strong ability to discriminate between Cl− and Na+ uptake (a trait lacking in cultivated rice) and use it to maintain negative membrane potential (MP) values without activating H+-ATPase, thus enabling more efficient K+ retention in mesophyll with low energy costs. …”
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