Assessing yield stability of pearl millet and rice cropping systems across West Africa using long-term experiments and a modeling approach. by Louis Kouadio, Kristina Fraser, Ali Ibrahim, Kazuki Saito, Fatondji Dougbedji, Kalimuthu Senthilkumar

“…Long-term field experiments (LTEs) provide invaluable insights into temporal yield patterns of agronomic interventions. However, the number of LTEs and agronomic management options tested withing these experiments remain limited compared to the diversity of farming systems in West Africa. …”
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Occupational stress among the nurses working in a Medical College Hospital in Nepal by Dipak Kunwar, Barsha Shrestha, Suhana Shrestha, Ajay Risal

“…There is sufficient evidence to suggest that occupational (work-related) stress decreases the quality of nursing care and increases the chances of making errors while working. Aim: To assess the occupational stress among the nurses working in a Medical College Hospital in Nepal. …”
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Emotional dimensions of feedback: How AI and human responses shape ESL learning outcomes by Amin Shahini

“…The provision of feedback remains one of the most potent instructional interventions within second language acquisition, yet the affective mechanisms underlying its efficacy are still poorly understood. …”
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Measurement of User Satisfaction of ELSIMIL Application in Stunting Prevention in Indonesia using EUCS Method by M. Zacky, Eki Saputra

“…The implications of these findings can provide valuable guidance for digital platform developers and related parties in designing more targeted and effective interventions, as well as facilitating desired behavioral changes in society.…”
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Estimating the local-level child full polio vaccination rates in Ethiopia using a hierarchical Bayes small area estimation approach by Seyifemickael Amare Yilema, Yegnanew A. Shiferaw, Haile Mekonnen Fenta, Alebachew Taye Belay

“…Similarly, the root mean square errors (RMSE) of direct survey estimates are greater than those of the corresponding model-based estimates. …”
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Optimizing county-level infectious respiratory disease forecasts: a pandemic case study integrating social media-based physical and social connectivity networks by Fengrui Jing, Zhenlong Li, Shan Qiao, M. Naser Lessani, Huan Ning, Wenjun Ma, Jinjing Hu, Pan Yang, Xiaoming Li

“…The combined connectivity-weighted model significantly enhanced prediction accuracy, reducing Mean Absolute Percentage Error (MAPE) by 49.38% across 96.62% of the counties, with the greatest improvements observed in urban and Northeastern counties. …”
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An Intelligent Natural Language Processing (NLP) Workflow for Automated Smart Building Design by Ebere Donatus Okonta, Francis Ogochukwu Okeke, Emeka Ebuz Mgbemena, Rosemary Chidimma Nnaemeka-Okeke, Shuang Guo, Foluso Charles Awe, Chinedu Eke

“…Traditional design workflows rely heavily on manual input, which can be inefficient, error-prone, and time-consuming, limiting the integration of adaptive, real-time inputs. …”
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A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates by Yanjie Wang, Yu Song, Chengfeng Zhang, Jiaqiao Ren, Pansheng Xue, Yawen Hou, Zheng Chen

“…The C-index and the mean prediction error of the cross validation are better than the static RMST model. …”
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Stepwise Corrected Attention Registration Network for Preoperative and Follow-Up Magnetic Resonance Imaging of Glioma Patients by Yuefei Feng, Yao Zheng, Dong Huang, Jie Wei, Tianci Liu, Yinyan Wang, Yang Liu

“…A comparison between our scheme and the leading approach identified in the MICCAI’s BraTS-Reg challenge indicates a 7.5% enhancement in the target registration error (TRE) metric and improved visualization of non-correspondence areas. …”
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The effect of promotional health message framing on the perceived benefit of mammography: evidence from estimation of willingness to pay by Bahman Ahadinezhad, Gita Rashvand, Simin Karimi, Ahad Alizadeh, Mahammad Amerzadeh, Omid Khosravizadeh

“…The mammography demand has been estimated using robust standard error Logistic regression. Demand rate of mammography has been compared between two types of information framing using the chi-square test. …”
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Innovative Approach Integrating Machine Learning Models for Coiled Tubing Fatigue Modeling by Khalil Moulay Brahim, Ahmed Hadjadj, Aissa Abidi Saad, Elfakeur Abidi Saad, Hichem Horra

“…Coiled tubing (CT) plays a pivotal role in oil and gas well intervention operations due to its advantages, such as flexibility, fast mobilization, safety, low cost, and its wide range of applications, including well intervention, cleaning, stimulation, fluid displacement, cementing, and drilling. …”
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Effectiveness of sensorimotor training on pain, cervical joint position sense, range of motion, balance, and disability in chronic neck pain: A systematic review by Sahar Zaidi, Sohrab Ahmad Khan, Saima Zaki, Habiba Sundus, Md Farhan Alam, Shibili Nuhmani

“…Sensorimotor training (SMT) is a targeted intervention addressing proprioceptive deficits, cervical range of motion (CROM), balance, and disability. …”
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Rethinking Macramé Instruction: A Mathematical Approach to Sustainable Cord Usage in Textile Education by Fatimatu Hajia Ibrahim, Boakye Antwi, Karim Azumah, Issah Mohammed Seini

“…Methodology/Design: Research suggests that traditional Macramé teaching methods have remained largely unchanged, often relying on estimation and trial-and-error techniques for determining cord lengths. This lack of standardisation contributes to inefficiencies in material use and instructional delivery. …”
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Diagnosis of Dry Eye Syndrome During the Preparing Patients for Cataracts Phacoemulsification. Literature Review by V. N. Trubilin, E. G. Polunina, A. V. Trubilin, V. V. Kurenkov, M. E. Konovalov, V. S. Zakatianskii

“…The increasing patient demands for quality of life after surgery necessitate optimization of approaches in the field of surgical intervention, reduction of the frequency of refractive errors and correction of tactics of postoperative interventions. …”
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Keys to Achieving Target First Medical Contact to Balloon Times and Bypassing Emergency Department More Important Than Distance by Saad Ezad, Allan J. Davies, Hooria Cheema, Trent Williams, James Leitch

“…Using a cutoff distance of 50 km may reduce human error in estimating travel time to our PCI centre and thereby identifying patients who should receive prehospital thrombolysis.…”
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AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view by Mostafa Jalilifar, Mahdi Sadeghi, Alireza Emami-Ardekani, Ahmad Bitarafan-Rajabi, Kouhyar Geravand, Parham Geramifar

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The Prevalence and Risk Factors of Hyperkalemia in the Outpatient Setting by Chadapa Sevamontree, Supreeya Jintajirapan, Pran Phakdeekitcharoen, Bunyong Phakdeekitcharoen

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Machine learning analysis of cardiovascular risk factors and their associations with hearing loss by Ali Nabavi, Farimah Safari, Ali Faramarzi, Mohammad Kashkooli, Meskerem Aleka Kebede, Tesfamariam Aklilu, Leo Anthony Celi

“…The accurate models identify high-risk groups, enabling timely intervention to improve quality of life. The subtle changes in hearing often go unnoticed, presenting a challenge for early hearing loss detection. …”
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Incidence of complications after laparoscopic and hysteroscopic surgeries for uterine myomas by N. K. Alizade

“…The post-surgery complication incidence rate was calculated and expressed as percentage (%), arithmetic mean (M), and standard error of the mean (m).Results. The overall incidence of severe postoperative complications did not differ between laparoscopic (2.7 ± 0.8 %) and hysteroscopic (2.1 ± 0.8 %) operations for uterine myomas (p > 0.05). …”
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A Methodological Research for Development and Psychometric Properties of a New Instrument for Religious Attitudes Test on Organ Donation among Muslim Population by Sakineh Rakhshanderou, Samira Daneshvar, Morteza Abdoljabbari, Marzieh latifi, Mohtasham Ghaffari

“…Furthermore, CFA of the items resulted in a suitable and good estimate based on the general fit indices of the model (root mean square error of approximation = 0.07, incremental fit index = 0.90, goodness of fit index [GFI] =0.89, comparative fit index = 0.93, adjusted GFI = 0.86). …”
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