An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction by Zechen Peng, Shaoxing Mo, Alexander Y. Sun, Jichun Wu, Xiankui Zeng, Miao Lu, Xiaoqing Shi

“…A Bayesian framework using Stein Variational Gradient Descent is implemented to quantify predictive uncertainties. For model interpretability, SHapely Additive exPlanations (SHAP) is utilized to quantify predictor contributions. …”
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Global variation in antibiotic prescribing guidelines and the implications for decreasing AMR in the future by Emmama Jamil, Emmama Jamil, Zikria Saleem, Brian Godman, Brian Godman, Brian Godman, Matti Ullah, Afreenish Amir, Abdul Haseeb, Johanna C. Meyer, Johanna C. Meyer, Muhammad Usman Qamar, Safa S. Almarzoky Abuhussain

“…Data were collected on the country of origin, income level, guideline title, year of publication, development methodology, issuing organization, target population, scope, and coverage. In addition, documentation on implementation strategies, compliance, monitoring of outcome measures, and any associated patient education or counseling efforts were reviewed to assess guideline utilization.Results/findingsA total of 181 guidelines were included, with the majority originating from high-income countries (109, 60.2%), followed by lower-middle-income (40, 22.1%), low-income (18, 9.9%), and upper-middle-income (14, 7.7%) countries. …”
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Predicting axial load capacity in elliptical fiber reinforced polymer concrete steel double skin columns using machine learning by Focai Yu, Haytham F. Isleem, Walaa J. K. Almoghayer, Ramy I. Shahin, Saad A. Yehia, Mohammad Khishe, Mohamed Kamel Elshaarawy

“…Abstract The current study investigates the application of artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL), in predicting the ultimate load-carrying capacity and ultimate strain ofboth hollow and solid hybrid elliptical fiber-reinforced polymer (FRP)–concrete–steel double-skin tubular columns (DSTCs) under axial loading. Implemented AI techniques include five ML models — Gene Expression Programming (GEP), Artificial Neural Network (ANN), Random Forest (RF), Adaptive Boosting (ADB), and eXtreme Gradient Boosting (XGBoost) — and one DL model — Deep Neural Network (DNN).Due to the scarcity of experimental data on hybrid elliptical DSTCs, an accurate finite element (FE) model was developed to provide additional numerical insights. …”
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Two-dimensional Sparse Antenna Array of a Passive Coherent Radar using a Parametric Algorithm of Signal Processing via the Section Method by V. M. Kutuzov, V. I. Veremyev, M. A. Ovchinnikov, G. V. Komarov

“…The construction of directional characteristics was implemented via computer simulation in the MATLAB environment with the effect of uncorrelated additive complex normal noise on the receiving channels in each AE as an interference.Results. …”
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Spatiotemporal Distribution of Hand, Foot, and Mouth Disease and the Influence of Air Pollutants and Socioeconomic Factors on Incidence in Fujian, China by Meirong Zhan, Shaojian Cai, Zhonghang Xie, Senshuang Zheng, Zhengqiang Huang, Jianming Ou, Shenggen Wu

“…Targeted interventions should be implemented in high-risk areas to mitigate HFMD transmission, with particular attention given to the environmental and demographic factors.…”
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Research progress on high-entropy alloys for extreme loading environments by GAO Wei, ZHOU Xichen, ZHU Qianyong, PANG Shujie, ZHAO Shiteng

“…The integration of state-of-the-art simulation techniques combined with advanced characterization methods will be crucial for improving research efficiency while providing insights into microstructural behavior. Additionally，tailored optimization approaches should be implemented for distinct advantageous systems and phase structures，particularly those capable of activating dislocation movements，twinning，phase transformations and incorporating novel processing methodologies such as additive manufacturing. …”
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NeuroFuzzXAI: A Hybrid Artificial Intelligence Framework for Epileptic Seizure Detection by Flavia COSTI, Emanuel COVACI, Ovidiu ROMAN, Darian ONCHIS

“…A deep learning model was implemented in PyTorch, trained with cross-entropy loss and optimized using Adam. …”
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Mapeo genético y análisis de QTL para carotenos en una población s1 de yuca Genetic mapping and QTL analysis for carotenes in a s1 population of cassava by Jaime Alberto Marín Colorado, Martin Fregene, Hernando Ramírez

“…The three possible QTLs showed positive and additive effect for the content of totals carotenes and could be an opportunity to implement assisted selection markers for total carotenes in cassava.…”
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Genetic Evaluation of Reproductive and Productive Traits in Zaraibi Goats Under Tropical Climatic Conditions by Aya Esam Hemada, Heba Abd El-Halim Ahmed, Asmaa Zayed Mohamed, Adel Salah Khattab, Oludayo Michael Akinsola, Thiruvenkadan Aranganoor Kannan

“…Genetic parameters were estimated using animal models implemented in the MTDFREML software. The overall least squares means (±standard error) for LSB, BW, WW, and ADG were 2.22 ± 0.02, 2.03 ± 0.01 kg, 10.22 ± 0.05 kg, and 90.00 ± 0.50 g/day, respectively. …”
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Evaluating Supervised Learning Classifier Performance for OFDM Communication in AWGN-Impacted Systems by Lavanya Vaishnavi D A, Anil Kumar C

“…The data to be transmitted is modulated and subjected to a kind of gaussian noise which is additive in nature and visible throughout the channel making it as noisy channel. …”
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Herencia de la resistencia al complejo Cercospora spp. en líneas de maíz tropical by Narro L. Luis, Vanegas Henry, De León Carlos

“…Accumulation of resistance genes through the development of synthetic varieties is an alternative to be implemented in maize breeding programs workin towards the development of gray leaf spot resistant tropical maize germplasm. 
 
 Key words: Zea mays, Cercospora zeae maydis, gray leaf spot of maize, diallel mating, general combining ability, specific combining ability, reciprocal effects.…”
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The effect of visual feedback on balance rehabilitation in people with impaired ankle instability: a systematic review and meta-analysis by Chuan qiu shui Wang, Kun Wang, Liang Sun, Shi qi Liu, Jiong Luo

“…The review was conducted in accordance with the PERSiST (Implementing Prisma in Exercise, Rehabilitation, Sport Medicine, and Sports Science) guidance. …”
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Construction and SHAP interpretability analysis of a risk prediction model for feeding intolerance in preterm newborns based on machine learning by Hui Xu, Xingwang Peng, Ziyu Peng, Rui Wang, Rui Zhou, Lianguo Fu

“…When feeding, early milk opening, the use of probiotics, the stimulation of defecation and other measures should be implemented with the aim of reducing the occurrence of FI.…”
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Development of an electronic health record-based Human Immunodeficiency Virus (HIV) risk prediction model for women, incorporating social determinants of health by Yiyang Liu, Aokun Chen, Hwayoung Cho, Khairul A. Siddiqi, Robert L. Cook, Mattia Prosperi

“…Various machine learning (ML) methods were tested, and Shapley Additive Explanations (SHAP) values were used to interpret the model. …”
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Fast crosstalk precoder based on structured matrix splitting for downstream transmission by LI You-ming, SHEN Wei, WANG Rang-ding, LI Xin-miao

“…Based on special line position,a novel precoder of cancellation crosstalk for downstream transmission was proposed.As the new method needs only two order matrix inversion,the precoder had a much lower computational com-plexity and was easy for implementation.In addition,the performance of the precoder was superior to that of the first or-der algorithm,almost the same tri-diagonal precoder.Computer simulation results based on real measured data verify the efficiency of the proposed precoder.…”
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Exploring Youth Perspectives on Digital Mental Health Platforms: Qualitative Descriptive Study by Sarah Daniel, Lauren Volcko, Emilie Bassi, Julia Hews-Girard, Katherine Bright, Marianne Barker, Lia Norman, Karina Pintson, Geneca Henry, Sumaya Soufi, Chukwudumbiri Efrem Omorotionmwan, Melanie Fersovitch, Leanne Stamp, Karen Moskovic, David W Johnson, Gina Dimitropoulos

“…However, understanding youth perspectives on these platforms is crucial for ensuring successful implementation and sustained engagement. ObjectiveThis study aimed to explore youth perspectives on the implementation of the Innowell platform, identifying key factors influencing uptake, engagement, and long-term retention. …”
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Design and Validation of Policy Making Model with Open Government Approach by Zahra Mohammadi, Abdolmajid Imani, Farahnaz Ahang

“…It posits that the implementation of open government is essential, offering significant benefits to both public and private organizations. …”
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Effects of community-based antiretroviral therapy initiation models on HIV treatment outcomes: A systematic review and meta-analysis. by Ingrid Eshun-Wilson, Ajibola A Awotiwon, Ashley Germann, Sophia A Amankwaa, Nathan Ford, Sheree Schwartz, Stefan Baral, Elvin H Geng

“…All studies were pragmatic, but in most cases provided additional resources. Few studies reported on implementation outcomes. …”
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Hybrid MAC Scheme for Vehicular Communications by Woong Cho

“…The benefits of proposed schemes are verified by simulations. In addition, we discuss some implementation issues including several application scenarios.…”
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Cost-benefit and equity analysis of nature-based solutions in Haiti, India, Indonesia and Uganda by Marta Vicarelli, Anamaria Georgescu, Karen Sudmeier-Rieux

“…Nature-based solutions (NbS) are emerging as possible strategies to mitigate disaster risk while providing additional benefits to biodiversity and sustainable economic growth. …”
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