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  1. 2961

    Improving maize yield in newly reclaimed soils: effects of irrigation, mulching, and foliar treatments by Ahmed M. Abdelghany, A. S. Farouk, E. Sh. Alwakel, Mohamed Ebaid, Mahmoud Naser, Sobhi F. Lamlom, A. A. Shehab

    Published 2025-05-01
    “…This study analyzed the impact of various irrigation methods (drip, sprinkler, and surface), foliar applications (potassium bicarbonate (PoB), methanol, and water control), and mulching techniques (with and without rice paddy straw) on the growth, physiology, productivity, and water use efficiency (WUE) of maize in newly reclaimed soil over the two seasons of 2022 and 2023. …”
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  2. 2962

    Cross-Context Stress Detection: Evaluating Machine Learning Models on Heterogeneous Stress Scenarios Using EEG Signals by Omneya Attallah, Mona Mamdouh, Ahmad Al-Kabbany

    Published 2025-04-01
    “…The objective of ML-based stress detection systems is to create models that generalize across various contexts. <b>Methods:</b> This study examines the generalizability of ML models employing EEG recordings from two stress-inducing contexts: mental arithmetic evaluation (MAE) and virtual reality (VR) gaming. …”
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  3. 2963

    Utilization of Ultrasonic-Assisted Extraction for Bioactive Compounds from Floral Sources by Sepidar Seyyedi-Mansour, Pauline Donn, Maria Carpena, Franklin Chamorro, Paula Barciela, Ana Perez-Vazquez, Ana Olivia S. Jorge, Miguel A. Prieto

    Published 2025-01-01
    “…As a “green extraction” technique, UAE minimizes use of organic solvents, energy consumption, and extraction time, making it a sustainable alternative to traditional extraction methods. On the other hand, flowers serve as a valuable reservoir of bioactive compounds. …”
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  4. 2964
  5. 2965

    Rootstock impacts on ‘USDA-ARS-Pawnee’ pecan growth, physiological traits, and soil microbial communities by Xinwang Wang, Keith Kubenka, Warren Chatwin, Angelyn Hilton, Braden Tondre, Tingying Xu, Lu Zhang

    Published 2025-06-01
    “…The superior growth of southern rootstocks suggests their potential for improving orchard productivity, while variations in PSR and WUE underscore the complex interactions between rootstocks and photosynthetic efficiency. …”
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  6. 2966

    Exploration of Automated Measurement for Ossicular Chains Based on 3-Dimensional Geometric Information by Mengshi Zhang, Yufan Zhang, Sihui Guo, Xiaoguang Li, Li Zhuo, Yuxue Ren, Wei Chen, Yili Feng, Ruowei Tang, Han Lv, Pengfei Zhao, Zhenchang Wang, Hongxia Yin

    Published 2025-01-01
    “…Accurate preoperative ossicular-chain measurements are essential for creating prostheses; however, current methods rely on cadaver studies or manual measurements from 2-dimensional images, which are time-intensive and laborious and depend heavily on radiologist expertise. …”
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  7. 2967

    Objective sleep quality in diverse older adults: a cross-sectional study on the importance of race and ethnicity and sex by Clémence Cavaillès, Katie L. Stone, Yue Leng, Carrie Peltz, Kristine Yaffe

    Published 2025-07-01
    “…We aimed to examine differences in objective sleep measures by race and ethnicity, sex, and age within a diverse cohort of community-dwelling older adults. Methods We analyzed cross-sectional data from 838 participants aged ≥ 50 years in the Dormir Study (2020–2024). …”
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  8. 2968

    Access and coverage of malaria services in Haiti in the context of elimination: a scoping review of the literature by Kenny Moise, Aude Melody Achille, Roubens Duvilaire, Jimmy Fedna, Roody Thermidor, Bertiny Bourdeau, Jessica Maureen Nestor, Gérald Lerebours, Jean Hugues Henrys, Christian Raccurt

    Published 2024-12-01
    “…This scoping review aims to identify the scope of research on access and coverage of malaria surveillance, diagnosis, and treatment in Haiti in the elimination setting. Methods We compiled, analyzed, and synthesized the literature on access and coverage of antimalarial services in Haiti in the elimination setting based on Arksey and O’Malley’s framework for scoping reviews and held a formal meeting with the PNCM leadership and stakeholders of malaria programs in Haiti. …”
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  9. 2969

    Fear of hypoglycemia: a key predictor of sleep quality among the diabetic population by Hafiz Rashid Hussain, Nabeel Ahmed, Muhammad Waseem Akram, Faisal Gulzar, Jawad Akbar Khan, Muhammad Asad, Sana Tahseen, Tanveer Ahmed, Abdul Malik, Suhail Akhtar, Ayesha Shahid, Mah Noor, Maryam Pervaiz, Muneeb Ur Rahman

    Published 2025-04-01
    “…We hypothesize that FOH is a key predictor of sleep quality in Type-I and Type-II patients with diabetes and, therefore, needs detailed investigation.MethodsA multicentric study was conducted across five cities and six centers of Punjab. …”
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  10. 2970

    Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

    Published 2025-03-01
    “…The performance of each model was rigorously explored through diverse statistical and graphical methods. While all developed models demonstrated high accuracy, the RBF-NN model was the superior predictive tool, achieving a mean absolute percentage error (MAPE) of 0.82 % and a standard deviation (SD) of 1.19 % during the validation phase. …”
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  11. 2971

    Sensitivity analysis of the INRA 2018 feeding system for ruminants by hybrid local and global approaches: Comparing the contribution of dietary input variables to multiple response... by Seoyoung Jeon, Tristan Senga Kiessé, Sophie Lemosquet, Pierre Nozière

    Published 2025-01-01
    “…Hence, hybridizing the SA methods can help to interpret the system and facilitate a more precise evaluation thereof, especially GSA, which is amenable to nonmonotonic models such as those characterizing complex feeding systems integrating multiple nutritional and animal factors.…”
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  12. 2972

    Empowering excellence: transforming GIRFT accessibility through a centralised Trust intranet portal: Northern Care Alliance Experience by Ayesha Lala, Robert Nipah, Alistair Craig, Molly Gollop, Shirley Naylor, William Keith Gray, Janet Cox, Katrein Savage, Paul Mcmullen, Alshymaa Eltahan

    Published 2025-06-01
    “…Background: The Getting It Right First Time (GIRFT) programme is a national initiative focused on enhancing clinical quality and efficiency by minimising unwarranted variations in care.1 Within the Northern Care Alliance (NCA) Trust, we identified that streamlined access to GIRFT-related resources is essential for successful implementation. …”
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  13. 2973

    Optimizing Strategies for Managing Difficult Intravenous Access by Saad AA, Simsekler MCE, Ahmed S, Ouda R, Khaddam O, Sanousi M, Benny M, Sunbati HA, Kashiwagi D, Al Rifai A, Ahmad M, Anwar S

    Published 2025-04-01
    “…It evaluates the impact of an escalation pathway and data-driven strategies to improve IV success rates, provider training, and process standardization.Patients and Methods: A retrospective analysis was conducted on 311 DIVA patients at Sheikh Shakhbout Medical City (SSMC), Abu Dhabi, UAE, over seven months (June–December 2023). …”
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  14. 2974

    Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

    Published 2025-05-01
    “…This process included methods for optimizing well trajectories, selecting well locations, predicting formation pressures before drilling, and predicting wellbore stability, which improved drilling safety and efficiency. …”
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  15. 2975

    Genetic and computational analysis of AKR1C4 gene rs17134592 polymorphism in breast cancer among the Bangladeshi population by Md. Akeruzzaman Shaon, Farzana Ansari, Zimam Mahmud, Sonia Tamanna, Abdullah Al Saba, Rushafi Sikder, Tabassum Howlader, Md. Zakir Hossain Howlader

    Published 2025-07-01
    “…Statistical assessments were conducted to analyze the association of polymorphism, while molecular dynamics simulation and diverse computational methods were employed to predict the structural and functional impacts of the SNP. …”
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  16. 2976

    Application of deep learning in cloud cover prediction using geostationary satellite images by Yeonjin Lee, Seyun Min, Jihyun Yoon, Jongsung Ha, Seungtaek Jeong, Seonghyun Ryu, Myoung-Hwan Ahn

    Published 2025-12-01
    “…Predicting cloud cover is essential in fields, such as agriculture, climatology, and meteorology, where accurate weather forecasting can significantly impact decision-making. Traditional methods for cloud cover prediction encounter significant limitations in capturing complete spatial and temporal cloud dynamics. …”
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  17. 2977

    Dysregulated ac4C modification of mRNA in a mouse model of early-stage Alzheimer’s disease by Hao-Nan Ji, Hai-Qian Zhou, Jing-Bo Qie, Wen-Mei Lu, Hai-Tao Gao, Dan-Hong Wu

    Published 2025-04-01
    “…Methods This study investigated ac4C modifications, mRNA and protein expression in the hippocampus of 3 and 6-month-old 5×FAD mice, a mouse model of AD, and wild-type (WT) littermates. …”
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  18. 2978

    A new opportunity for biomass-derived carbon in highly stable Li-O2 battery: A review by Guanjun Liu, Shaojie Qin, Xiping Zhang, Dan You, Yanjia Zhang, Xiaoyuan Zeng, Yiyong Zhang, Ziyi Zhu, Yingjie Zhang, Xue Li

    Published 2025-03-01
    “…It introduces cross-scale characterization methods to analyze the properties of the carbon materials and explores the theoretical underpinnings of functional atom doping as a means to enhance electrochemical performance. …”
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  19. 2979

    Identification and Genetic Diversity Analysis of <i>Cucurbita</i> Varieties Based on SSR Markers by Jialong Zou, Xingting Wu, Xuejing Liu, Changcheng Peng, Yingxue Ma, Xiujie Zhang, Xuhong Yang, Shuailong Luo, Weigeng Xing, Hao Hong, Lang Li, Bin Tan, Ruonan Jing, Zhenjiang Xu

    Published 2025-06-01
    “…Our research results provide a new tool for population genetic analysis, variety identification, and protection in <i>Cucurbita</i> cultivars with high efficiency, accuracy, and lower costs compared to conventional methods.…”
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  20. 2980

    Knowledge, Attitudes, and Perceptions of Chronic Patients in Saudi Arabia Regarding the Use of Artificial Intelligence to Improve Medication Adherence by Alsanosi SM, Aldajani AQ, Gheliwi HA, Alotibi MM, Bokhari GS, Almatrafi OA, Alqawlaq AK, Abujamai JZ, Shaikhomer M, Alhindi YZ, Alshanberi AM

    Published 2025-06-01
    “…A positive attitude towards AI’s role in medication adherence was observed in 58.2% of the participants with good knowledge levels compared to only 11.4% of those with poor knowledge (p=0.001). Variations in perception levels regarding AI’s role in medication adherence were evident across demographics, with statistically significant associations found for age and overall knowledge level (p-values of 0.031 and 0.001, respectively).Conclusion: The results highlight AI’s potential to enhance medication adherence and healthcare efficiency while maintaining a human-centred approach. …”
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