Preclinical common data elements for general pharmacological studies (pharmacokinetic sample collection, tolerability, and drug administration). A report of the TASK3‐WG1A General... by Lisa Coles, Patrick A. Forcelli, Karine Leclercq, Anna‐Maria Katsarou, Brian D. Klein, Heidrun Potschka, Rudiger Koehling, Lauren Harte‐Hargrove, Aristea S. Galanopoulou, Cameron S. Metcalf

“…The General Pharmacology Working Group of the ILAE/AES Task Force (TASK3‐WG1A) has continued in this effort by adapting and refining CDEs/CRFs to address specific study design areas as they relate to preclinical drug screening: general pharmacology, pharmacokinetics (PK) and pharmacodynamics (PD), and tolerability. …”
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Domain Generalization Using Maximum Mean Discrepancy Loss for Remaining Useful Life Prediction of Lithium-Ion Batteries by Wenbin Li, Yue Yang, Stefan Pischinger

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Evaluating a cassava crop growth model by optimizing genotype-specifc parameters using multienvironment trial breeding data by Pamelas M. Okoma, Siraj Ismail Kayondo, Ismail Y. Rabbi, Patricia L. Moreno-Cadena, Patricia L. Moreno-Cadena, Gerrit Hoogenboom, Gerrit Hoogenboom, Jean-Luc Jannink, Jean-Luc Jannink

“…Crop growth models (CGM) are becoming common place in breeding efforts to expand the inference of evaluations of breeding germplasm to environments that have not been tested and to prepare for breeding for adaptation to future climates. We parameterized a CGM, the CROPGRO-MANIHOT-Cassava model in the DSSAT family of models, using data on 67 clones from the International Institute of Tropical Agriculture cassava breeding program evaluated from 2017 to 2020 and over eight locations in Nigeria using trial and error parameter adjustments and the General Likelihood Uncertainty Estimation method. …”
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Nitrate Content in Open Field Spinach, Applicative Case for Hyperspectral Reflectance Data by Walter Polilli, Angelica Galieni, Fabio Stagnari

“…An open-field experiment evaluated the potential of vis-NIR-SWIR hyperspectral data for classifying spinach nitrate content. Shallow artificial neural networks (ANN) and ensemble techniques—majority voting (MV) and stacked generalization (stacked)—were applied. …”
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Social post-error adaptations across four NBA basketball seasons by Ayala Denul, Gilles Pourtois, Tom Loeys, Wim Notebaert

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Adaptation of J-SPEED for the emergency department of a regional hospital in the Republic of Uzbekistan: retrospective analysis by Olimjan Nazirkulov, Odgerel Chimed-Ochir, Yui Yumiya, Inn Kynn Khaing, Khasanjon Odilov, Hanako Ogawa, Ami Fukunaga, Khalilov Kobiljon, Mahamadjan Mirzahmedov, Sukurullaxon Fayzullaxonov, Khikmat Anvarov, Mutalov Boburjon, Ruzimurodov Nodirjon, Tatsuhiko Kubo

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The sexual health assessment of practices and experiences (SHAPE) questionnaire: Adaptation Process and Results of the Data Collected during the Pre-Test in Portugal by Ana Luísa Patrão, Maria Yolanda Makuch, Vilma Zotareli, Pedro Nobre

“…The objective of this study is to describe the adaptation process and the results of the data collected during the pre-test. …”
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Recipe Based Anomaly Detection with Adaptable Learning: Implications on Sustainable Smart Manufacturing by Junhee Lee, Jaeseok Jang, Qing Tang, Hail Jung

“…These issues limit the general application of AI and data-driven decision-making. …”
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Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions by Yuchen Luo, Xiaoqun Cao, Kecheng Peng, Mengge Zhou, Yanan Guo

“…To address these issues, this paper proposes a non-Gaussian nonlinear data assimilation method called α-4DVar, based on Rényi entropy and the α-generalized Gaussian distribution. …”
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GEOGRAPHICALLY WEIGHTED GENERALIZED POISSON REGRESSION AND GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL REGRESSION MODELING ON PROPERTY CRIME CASES IN CENTRAL JAVA by Prizka Rismawati Arum, Rahmad Putra Gautama, M. Al Haris

“…Therefore, this study employs Geographically Weighted Generalized Poisson Regression (GWGPR) and Geographically Weighted Negative Binomial Regression (GWNBR) methods with Adaptive Bisquare Kernel weighting. …”
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Inverting magnetotelluric data using a physics-guided auto-encoder with scaling laws extension by Lian Liu, Bo Yang, Yi Zhang

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Adaptive rolling runoff forecasting model: Combining multi-source correlated sequences and extreme value encoding by Tao Wang, Jingzhe Liu, Yongming Cheng, Jingjing Duan, Yifei Zhao, Jing Zhao, Peiling Wang, Jiaqi Zhai

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mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): statis... by Tomas Vetrovsky, Norbert Kral, Marketa Pfeiferova, Bohumil Seifert, Vaclav Capek, Katerina Jurkova, Michal Steffl, Richard Cimler, Jitka Kuhnova, Tess Harris, Michael Ussher, Charlotte Wahlich, Katerina Malisova, Jana Pelclova, Jan Dygryn, Steriani Elavsky, Iris Maes, Delfien Van Dyck, Alex Rowlands, Tom Yates

“…The pre-specified statistical framework provides a comprehensive guide for analysing trial data and contributes to advancing best practices in behavioural intervention trials for public health. …”
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Subspace‐based distributed target detection method with small training data samples by Guangfen Wei, Zhan Zhou, Yuan Luo, Tao Jian, Xiaoming Tang

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Impacts of climate and non-climate factors on cereal crop yield in East Africa: A generalized method of moments (GMM) panel data analysis by Yadeta Bedasa, Adeba Gemechu, Amsalu Bedemo, Bacha Gebissa, Bai Xiuguang

“…There has not been much previous study on how climate and non-climate factors affect the yield of cereal crops in East Africa using panel data. Further, this study seeks to fill a gap in existing research by employing a generalized method of moments (GMM) panel model. …”
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Perceptions and adaptation strategies of smallholder farmers to climate change in Builsa South district of Ghana by John Adeboa, Benjamin Tetteh Anang

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Perceptions of stress among university teachers by Efraim Carlos Costa, Maria Márcia Bachion, Lorany Ferreira de Godoy, Ludmila de Ornellas Abreu

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SauDial: The Saudi Arabic dialects game localization datasetMendeley Data by Naif Alanazi, Mohammed Al-Batineh, Hussein Abu-Rayyash

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The Imbalanced Target Classification Method Based on Mixed Learning of Virtual and Real Data by Fengyu Yang, Peng Wang, Wutao Qin, Zhangze Liao

“…To overcome this challenge, we combines balanced data generated from virtual simulation environments with imbalanced real-world data, employing a mixed learning approach to improve the model’s generalization ability and robustness. …”
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Error prediction determines the coordinate system used for the representation of novel dynamics by Raz Leib, David Franklin

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