Farmers’ Perspectives on Agricultural Marketing Information in Developing Countries: The Case of Tanzania by Anasia Gasper Maleko, Inibehe George Ukpong

“…This paper examines farmers’ perspectives on agricultural marketing information in developing countries, with a case study focusing on three districts in Tanzania. Data were obtained from a survey conducted on 291 maize farmers in the three districts namely Arusha (103 farmers), Njombe (100 farmers) and Kongwa (88 farmers), selected from three regions in Tanzania Mainland. …”
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Quantitative determination of blended proportions in tobacco formulations using near-infrared spectroscopy and transfer learning by Qinlin Xiao, Qinlin Xiao, Ruifang Gu, Li Li, Jing Wen, Xixiang Zhang, Yi Shen, Yang Liu, Lan Xiao, Qinqin Tang, Jun Yang, Yong He, Juan Yang

“…The results show that TCA-PLSR achieved substantial reductions in prediction error in most transfer tasks involving large discrepancies in feature distributions. Coral-PLSR demonstrated superior performance in transfer tasks involving similar spectral feature distributions. …”
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Efficient prediction of aerodynamic forces in rarefied flow using convolutional neural network based multi-process method by Haifeng Huang, Guobiao Cai, Chuanfeng Wei, Baiyi Zhang, Xiang Cui, Yongjia Zhao, Huiyan Weng, Weizong Wang, Lihui Liu, Bijiao He

“…The method includes centroid aerodynamics forces prediction (CFP) and surface aerodynamic forces distribution prediction (SFP), both of which are trained using a dataset of free molecular flow around obstacles derived from DSMC simulations. …”
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Selection of Trajectories to Improve Thermal Fields During the Electric Arc Welding Process Using Hybrid Model CFD-FNN by Sixtos A. Arreola-Villa, Alma Rosa Méndez-Gordillo, Alejandro Pérez-Alvarado, Rumualdo Servín-Castañeda, Ismael Calderón-Ramos, Héctor Javier Vergara-Hernández

“…A feedforward neural network was trained with simulation-generated data to optimize welding sequences. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Data synthesis Narrative data synthesis was performed. …”
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Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm by Z. Xia, C. Zhao, C. Zhao, C. Zhao, Z. Yang, Q. Du, J. Feng, C. Jin, J. Shi, H. An, H. An

“…Results demonstrate that AIMACI is not only comparable with conventional schemes in spatial distributions, temporal variations, and evolution of particle size distribution of main aerosol species, including water content in aerosols, but also exhibits robust generalization ability, reliably simulating one month under different environmental conditions across four seasons despite being trained on limited data from merely 16 d. …”
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Detection and monitoring of Melampsora spp. Damage in multiclonal poplar plantations coupling biophysical models and Sentinel-2 time series by Carlos Camino, Alexey Valero-Jorge, Erika García Lima, Ramón Álvarez, Pieter S.A. Beck, Flor Álvarez-Taboada

“…For each DM, three ML algorithms (support vector machines, random forests, and neural networks) were trained using in situ leaf rust inspections as reference data, and the following inputs: (i) inverted plant traits retrieved from the PROSAIL model, (ii) key spectral indices derived from Sentinel-2 time series, and (iii) a combination of both plant traits and indices from Sentinel-2 images. …”
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The Ethical Significance of Brain-Computer Interfaces as Enablers of Communication by Toma Gruica

“…Communicative capacity depends on sustained technical support, ongoing software updates, and user training, demands that challenge existing models of medical device regulation and healthcare infrastructure. …”
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Model morphing supported large scale crop type mapping: A case stuy of cotton mapping in Xinjiang, China by Longcai Zhao, Taifeng Dong, Xin Du, Bing Dong, Qiangzi Li

“…Long-term, large-scale crop distribution mapping is crucial for agricultural policy and resource management. …”
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Making the most of existing research: an evidence gap map of the effects of food systems interventions in low-income and middle-income countries by Birte Snilstveit, Ingunn Gilje Storhaug, Charlotte Lane, Nick Moore, Mark Engelbert, Thalia Morrow Sparling, Amber Franich, Heike Rolker

“…Studies meeting eligibility criteria had meta-data systematically extracted and were descriptively analysed. …”
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Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning by Xinyuan Zheng, Patrick Worhunsky, Qiong Liu, Xueqi Guo, Xiongchao Chen, Heng Sun, Jiazhen Zhang, Takuya Toyonaga, Adam P. Mecca, Ryan S. O’Dell, Christopher H. van Dyck, Gustavo A. Angarita, Kelly Cosgrove, Deepak D’Souza, David Matuskey, Irina Esterlis, Richard E. Carson, Rajiv Radhakrishnan, Chi Liu

“…A total of 160 participants who underwent both MRI and [11C]UCB-J PET imaging, including individuals with schizophrenia, cannabis use disorder, Alzheimer’s disease, were used in this study. The model was trained on pairs of T1-weighted MRI and [11C]UCB-J distribution volume ratio images, and tested through a 10-fold cross-validation process. …”
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Snail intermediate host occurrence recorded by citizen scientists in rural Uganda and the Democratic Republic of the Congo by Noelia Valderrama-Bhraunxs, Larissa Bonifacio, Julius Tumusiime, Germain Kapour, Daisy Namirembe, Casim Umba-Tolo, Grace Kagoro-Rugunda, Patrick Mitashi-Mulopo, Joule Mandinga, Liesbet Jacobs, Tine Huyse

“…Between 2020 and 2023, citizens recorded 31,490 snail occurrences. Data quality was ensured through automatic validation and manual verification of submitted snail pictures. …”
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Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models by Patrick H. Kelly, Rob Kwark, Harrison M. Marick, Julie Davis, James H. Stark, Harish Madhava, Gerhard Dobler, Jennifer C. Moïsi

“…Region-specific ML models were defined via K-means clustering and trained according to the distribution of extracted geocoordinates relative to explanatory variables in each region. …”
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Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

“…The distribution differences of these CMM patterns among gender, age, marital status, education level, and Family Poverty-to-Income Ratio (PIR) were statistically significant (P < 0.05), and so were the differences in lifestyle distribution among the four CMM patterns (P < 0.05). …”
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Machine learning-based prediction and classification of seawater intrusion in the hyper-arid coastal aquifer of Fujairah, UAE by Assaad Kassem, Ahmed Sefelnasr, Abdel Azim Ebraheem, Luqman Ali, Faisal Baig, Mohsen Sherif

“…Future work should address temporal dynamics and salinity vertical distribution patterns.…”
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Integrated ISPH approach with artificial neural network for magnetic influences on double diffusion of a non-Newtonian NEPCM in a curvilinear cavity by Weaam Alhejaili, Munirah Alotaibi, Abdelraheem M. Aly

“…The artificial neural network (ANN) in conjunction with the incompressible smoothed particle hydrodynamics (ISPH) approach, deals with exothermic reaction effects on Cattaneo-Christov (Ca-Ch) heat and mass transport of nano-enhanced phase change material (NEPCM) in a curvilinear cavity. The ANN model, trained on data obtained from ISPH simulations, accurately predicted the mean $ \overline{Nu} $ and $ \overline{Sh} $ values. …”
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Life-time experience of violence among women and girls living with disability in Nepal. by Padam Simkhada, Sapana Basnet, Shaurabh Sharma, Edwin van Teijlingen, Sharada Prasad Wasti, Tikadevi Dahal, Joshua Okyere, Ram Chandra Silwal, Manita Pyakurel

“…This was done by trained enumerators using the KoBo application on smartphones or tablets. …”
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HIV post‐exposure prophylaxis in community settings and by lay health workers or through task sharing: a systematic review of effectiveness, case studies, values and preferences, a... by Caitlin E. Kennedy, Rahel Dawit, Ping Teresa Yeh, Michelle Rodolph, Nathan Ford, Heather‐Marie A. Schmidt, Robin Schaefer, Rachel Baggaley, Virginia Macdonald

“…Conclusions Programmes should be expanded to include community delivery and task sharing to dispense, distribute, provide and monitor PEP.…”
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Elements of artificial intelligence in a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction of ischemic or... by O. A. Osipova, A. V. Kontsevaya, V. V. Demko, E. V. Gosteva, A. A. Komisov, А. A. Kuzub, A. V. Serdyukova, A. S. Brizhaneva, R. N. Shepel, O. M. Drapkina

“…Aim. To create and train a neural network (NN) of a predictive personalized model of pharmacotherapy choice in patients with heart failure with mildly reduced ejection fraction (HFmrEF) of ischemic origin.Material and methods. …”
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Fatigue trajectories by wearable remote monitoring of breast cancer patients during radiotherapy by Angela Barillaro, Chiara Feoli, Adriano Tramontano, Marco Comerci, Mara Caroprese, Renato Cuocolo, Oscar Tamburis, Mario Petrazzuoli, Maria Anna D’Arienzo, Antonio Farella, Caterina Oliviero, Stefania Clemente, Laura Cella, Mario Magliulo, Manuel Conson, Roberto Pacelli

“…Several Machine Learning (ML) methods were trained to characterize RIF on the basis of HR and STP collected data. …”
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