How Does Rice Cope with High-Temperature Stress During Its Growth and Development, Especially at the Grain-Filling Stage? by Feifei Lu, Baohua Feng, Long Chen, Jiehua Qiu, Xiangjin Wei

“…To cope with high-temperature stress, rice activates a series of complex physiological and biochemical responses, including heat-related signaling pathways and transcriptional regulatory networks. …”
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Viral reactivations and fungal infections in nonresolving acute respiratory distress syndrome by Lenn Maessen, Leonoor S. Boers, Jannes Heylen, Frank van Someren Gréve, Joost Wauters, Lieuwe D.J. Bos, Simon Feys

“…A deeper understanding of the complex interplay between these pathogens and the host immune system in the context of ARDS, combined with advances in diagnostic and therapeutic strategies, has the potential to enhance the management and prognosis of patients with nonresolving ARDS.…”
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Exploration of the genetic and environmental determinants of male infertility: a comprehensive review by Muhammad Imran, Ramna Zia, Muneeb Arshad, Fatima Fayyaz, Tauseef Haider, Ali Tabraiz, Iqra Arshad, Muhammad Anees Sharif, Benish Javed

“…Nonobstructive azoospermia (NOA) occurs when issues in sperm production lead to a complete absence of sperm in the semen, often due to genetic abnormalities. Male infertility is complex and depends on gene interactions, epigenetic regulation, and environmental and lifestyle factors. …”
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Integrating Deep Transfer Learning and Image Enhancement for Enhancing Defective Photovoltaic Cells Classification in Electroluminescence Images by Hanim Suraya Mohd Mokhtar, Aimi Salihah Abdul Nasir, Mohammad Faridun Naim Tajuddin, Muhammad Hafeez Abdul Nasir, Kumuthawathe Ananda Rao

“…This research addresses these gaps by proposing an in-depth analysis of the impact of multiple image enhancement techniques on defect detection performance, using various deep learning models of low, medium, and high complexity. …”
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Innovative Microfluidic Technologies for Rapid Heavy Metal Ion Detection by Muhammad Furqan Rauf, Zhenda Lin, Muhammad Kamran Rauf, Jin-Ming Lin

“…While conventional methods like atomic absorption spectroscopy (AAS) and inductively coupled plasma mass spectrometry (ICP-MS) remain prevalent, their limitations—including high costs, complex workflows, and lack of portability—underscore the urgent need for innovative alternatives. …”
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Implementation of genetic testing for heritable cardiac conditions: A scoping review by Ana Morales, Jessica Goehringer, Paige L. McDonald, Despina Sanoudou

“…Purpose: We aimed to identify themes and knowledge gaps about the current state of cardiovascular genetic testing implementation from the nongenetics clinician’s perspective. …”
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Biosensors in Microbial Ecology: Revolutionizing Food Safety and Quality by Gajanan A. Bodkhe, Vishal Kumar, Xingjie Li, Shichun Pei, Long Ma, Myunghee Kim

“…However, their adoption is still hindered by complex food matrices, high costs, and the growing challenge of antimicrobial resistance. …”
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Cross-domain topic transfer learning method based on multiple balance and feature fusion by Zhenshun Xu, Zhenbiao Wang, Wenhao Zhang, Zengjin Tang

“…The experiments verify the effectiveness of this method, bridging gaps in topic generation and advancing the application of topic modeling in complex and dynamic contexts.…”
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Fractional-order mathematical model for Monkeypox transmission dynamics using the Atangana-Baleanu Caputo operator by Benedict Celestine Agbata, Erjola Cenaj, Raimonda Dervishi, Yahaya Jibrin Danjuma, Mshuur Mary-Anne Shior, Emmanuel Abah, Joseph Solomon Onuche, Homan Emadifar

“…This study addresses these gaps by applying the Atangana-Baleanu-Caputo fractional derivative with the Mittag-Leffler kernel to model the transmission dynamics of Monkeypox. …”
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Critical review of sunflower harvesting header technology: Loss reduction, adaptability, and intelligent mechanization by Zhong Tang, Sheng Tai, Bin Li, Shiguo Wang, Yang Liu, Tiantian Jing, Xiaohu Guo

“…By identifying key technological bottlenecks and knowledge gaps, this review charts a clear path towards intelligent mechanization. …”
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Review of the Regulatory Challenges and Opportunities for Maritime Small Modular Reactors in Republic of Korea by Seon-Gon Kim, Sanghwan Kim, Jophous Mugabi, Jae-Ho Jeong

“…However, their integration into the maritime sector presents complex regulatory challenges due to the convergence of nuclear and maritime laws. …”
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Microbial contributions to plant growth and stress tolerance: Mechanisms for sustainable plant production by Neha Sharma, Lovely Mahawar, Arti Mishra, Benedicte Riber Albrectsen

“…Predominantly inhabiting the rhizosphere, PGPRs interact with plant roots via complex molecular and ecological processes involving signalling molecules, metabolite exchanges, and modulation of plant immune responses. …”
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Biomass Burning over Africa: How to Explain the Differences Observed Between the Different Emission Inventories? by Toure E. N’Datchoh, Cathy Liousse, Laurent Roblou, A. Brigitte N’Dri

“…Biomass burning (BB) results from complex interactions between ecosystems, humans, and climate, releasing large amounts of gases and particles. …”
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Patient-oriented unsupervised learning to uncover the patterns of multimorbidity associated with stroke using primary care electronic health records by Marc Delord, Xiaohui Sun, Annastazia Learoyd, Vasa Curcin, Charles Wolfe, Mark Ashworth, Abdel Douiri

“…Conclusion This novel longitudinal and patient-oriented perspective on multimorbidity addresses existing gaps in mapping the patterns of stroke-associated multimorbidity not only in terms of LTCs, but also socio-demographic characteristics, and suggests potential for more efficient and patient-oriented healthcare models.…”
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Deep Reinforcement Learning of Mobile Robot Navigation in Dynamic Environment: A Review by Yingjie Zhu, Wan Zuha Wan Hasan, Hafiz Rashidi Harun Ramli, Nor Mohd Haziq Norsahperi, Muhamad Saufi Mohd Kassim, Yiduo Yao

“…Addressing these gaps is essential for enhancing its real-time performance and versatility. …”
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Hospital Discharge Summaries Are Insufficient Following ICU Stays: A Qualitative Study by Katrina E. Hauschildt, PhD, Rachel K. Hechtman, MD, Hallie C. Prescott, MD, MSc, Theodore J. Iwashyna, MD, PhD

“…Information desired included life-support interventions provided and duration (mechanical ventilation, dialysis, etc.), reasons for treatment decisions (code status changes, medication changes, etc.), and potential complications (delirium, dysphagia, postintensive care syndrome, etc.). Pervasive discharge gaps (ongoing needs, incidental findings, etc.) were described as worse among patients with ICU stays due to more complex illness and required interventions. …”
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Emotional, informational, and decision-making support needs among people seeking abortion in the US: perspectives from All-Options Talkline callers by Jane W. Seymour, Bria A. Goode, Paulina Guerrero, Angélica M. Campos, Kai Kyles, Poonam Dreyfus-Pai, Sarah E. Baum

“…We found that the All-Options Talkline provided person-centred, remote support for callers, filling gaps or supplementing support from one's community or healthcare professionals. …”
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Analytical Challenges in Novel Pentavalent Meningococcal Conjugate Vaccine (A, C, Y, W, X) by Pankaj Sharma, Sameer Kale, Swapnil Phugare, Sunil Kumar Goel, Sunil Gairola

“…Creating appropriate quality control analytical tools for a complex biological formulation is challenging. A scoping review aims to identify the main challenges and gaps in analyzing multivalent vaccines, especially in the case of novel serogroups, such as X, as the limited literature addresses these analytical challenges. …”
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EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks by Bodian Ye, Min Gao, Xiu-Xiu Zhan, Xinlei He, Zi-Ke Zhang, Qingyuan Gong, Xin Wang, Yang Chen

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Mine hoisting steel wire rope surface damage image recognition based on improved YOLOv8n by MAO Qinghua, YANG Fan, WANG Chao, TONG Xuyao, TONG Junwei, ZHANG Xuhui, XUE Xusheng

“…Compared with mainstream models such as Faster-RCNN, YOLOv5s, YOLOv8n, YOLOv10m, TWRD-Net, and YOLOv5-TPH, the improved YOLOv8n model exhibited the best accuracy for small target damage recognition while maintaining high real-time performance. In complex field scenarios with oil stain coverage and large gaps between rope strands in coal mines, the improved YOLOv8n model did not miss any damage detections and had fewer false detections, achieving an average recognition accuracy of 90%.…”
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