Constructing a potential HLA haplo-homozygous induced pluripotent stem cell haplobank using data from an umbilical cord blood bank by Ji He, Yanmin He, Qigang Zhan, Zhipan Wu, Qi Sheng, Wei Zhang, Faming Zhu

“…However, reducing immune rejection is a key problem in the application of iPSCs that can be solved by the development of haplobanks containing specially selected iPSC lines. …”
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CT-Free Attenuation Correction in Paediatric Long Axial Field-of-View Positron Emission Tomography Using Synthetic CT from Emission Data by Maria Elkjær Montgomery, Flemming Littrup Andersen, René Mathiasen, Lise Borgwardt, Kim Francis Andersen, Claes Nøhr Ladefoged

“…A 3D parameter transferred conditional GAN (PT-cGAN) architecture, pre-trained on adult data, was adapted and trained on the paediatric cohort. …”
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A new spatiotemporal fusion model for integrating VIIRS and SDGSAT-1 Nighttime light data to generate daily SDGSAT-1 like observations by Jinhu Bian, Touseef Ahmad Khan, Ainong Li, Jinping Zhao, Yi Deng, Guangbin Lei, Zhengjian Zhang, Xi Nan, Amin Naboureh, Muhib Ullah Khan

“…The predicted daily SDGSAT-1-like NTL data for flood disaster emergency response case in Pakistan showed the application potential of the proposed model.…”
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Accessing Anonymised Data from Ireland’s Maternal and Newborn Clinical Management System for Research Purposes [version 1; peer review: 2 approved] by Richard A. Greene, Gillian M. Maher, Joye McKernan, Fergus P. McCarthy, Ali S. Khashan

“…Upon receipt of ethical approval, an application to the Local Information Governance Group must be submitted if requesting data from CUMH and/or UHK. …”
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Variability in the responses of rice ecotypes to elevated CO2 based on data from FACE studies in China and Japan: Implications for climate change adaptation by Weilu Wang, Xiaowu Yan, Yunxia Han, Weiyang Zhang, Hao Zhang, Lijun Liu

“…Using meta-analysis approach and the ORYZA (v3) model with historical and projected climatic data, this study evaluated the differences in the responses of rice ecotypes to elevated CO2 and identified adaptive measures. …”
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Impact of SGLT2 inhibitors on survival in gastrointestinal cancer patients undergoing chemotherapy and/or radiotherapy: a real-world data retrospective cohort study by Lucas E. Flausino, Alexis Germán Murillo Carrasco, Tatiane Katsue Furuya, Wen-Jan Tuan, Roger Chammas

“…We conducted an extensive, sex-oriented, real-world data analysis to investigate whether SGLT2i can enhance GI cancer outcomes when used alongside standard therapies such as chemotherapy and radiotherapy. …”
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Ensemble Streamflow Simulations in a Qinghai–Tibet Plateau Basin Using a Deep Learning Method with Remote Sensing Precipitation Data as Input by Jinqiang Wang, Zhanjie Li, Ling Zhou, Chi Ma, Wenchao Sun

“…These findings highlight that the proposed 1D CNN ensemble simulation framework has great potential to improve streamflow estimations using remote sensing precipitation data as input and may provide new insight into how deep learning methods advance the application of remote sensing in hydrological research.…”
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Estimating Soil Attributes for Yield Gap Reduction in Africa Using Hyperspectral Remote Sensing Data with Artificial Intelligence Methods: An Extensive Review and Synthesis by Nadir El Bouanani, Ahmed Laamrani, Hicham Hajji, Mohamed Bourriz, Francois Bourzeix, Hamd Ait Abdelali, Ali El-Battay, Abdelhakim Amazirh, Abdelghani Chehbouni

“…In this context, this study conducts an extensive literature review on the use of hyperspectral remote sensing technologies, with a particular focus on freely accessible hyperspectral remote sensing data (e.g., PRISMA, EnMAP), as well as an evaluation of advanced Artificial Intelligence (AI) models for analyzing and processing spectral data to map soil attributes. …”
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Simulation Effect Evaluation of CMIP6 Models on Climatic Elements in Huai River Basin by WU Chen, WANG Jingcai, SHAO Junbo, LI Xiangyu, WANG Wenyue

“…The general climate model (CMIP6) is the main means of large-scale simulation and prediction of future climate changes,but the simulation quality of its model data and applicability in different research regions need to be evaluated.Based on the measured data of 19 meteorological stations in the upper and middle reaches of the Huai River Basin from 1960 to 2014,this paper systematically evaluates the simulated climate data of 19 CMIP6 models using five precision indicators.The indicators include equidistant cumulative distribution function method,mean,dispersion coefficient (C_v),Pearson correlation coefficient (PCC),standard deviation (STD),and root-mean-square deviation (RMSE).Finally,the following conclusions are drawn:① Based on the simulation data of 19 CMIP6 models corrected for bias,the top two climate models for precipitation data simulation are preliminarily selected,including ACCESS-ESM1-5 and CMCC-ESM2.The top five climate models for simulating temperature data contain ACCESS-ESM1-5 and CMCC-ESM2;② The historical period data and measured historical climate data of the selected CMIP6 models are evaluated from two aspects of annual change trend and spatial distribution.Then,the CMIP6 model suitable for the upper and middle reaches of the Huai River Basin is verified and selected;③ Based on analyzing the influence of atmospheric circulation factors on climate,AO has a good correlation with the climate data of the upper and middle reaches of the studied basin,and the correlation between the model and atmospheric circulation data is close to the actual situation.The comprehensive evaluation shows that the most suitable models for simulating the upper and middle reaches of the Huai River Basin are ACCESS-ESM1-5 and CMCC-ESM2.The systematic evaluation of CMIP6 model data simulating the upper and middle reaches of the Huai River Basin provides theoretical and technical references for the rational selection and utilization of CMIP6 datasets for the research on climate change factors in future scenarios of the basin.…”
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Soil analysis in discussions of agricultural feasibility for ancient civilizations: A critical review and reanalysis of the data and debate from Chaco Canyon, New Mexico. by Jon-Paul P McCool, Samantha G Fladd, Vernon L Scarborough, Stephen Plog, Nicholas P Dunning, Lewis A Owen, Adam S Watson, Katelyn J Bishop, Brooke E Crowley, Elizabeth A Haussner, Kenneth B Tankersley, David Lentz, Christopher Carr, Jessica L Thress

“…A careful reassessment of existing salinity data as measured by electrical conductivity reveals critical errors in data conversion and presentation that have misrepresented the character of the area's soil and its potential impact on crops. …”
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Evaluation Method for Running State of Electricity Meters Based on Random Matrix Theory and Clustering Algorithm by Yingying CHENG, Jie DU, Quan ZHOU, Jiaming ZHANG, Xiaoyong ZHANG, Gang LI

“…Firstly, time series data of various indicators are characterized and then integrated by real-time separation window technology. …”
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A decision support system for herd health management for dairy farms by Jan Saro, Tomáš Šubrt, Helena Brožová, Robert Hlavatý, Jan Rydval, Jaromír Ducháček, Luděk Stádník

“…In other words, this DSS application processes disease and treatment data by incorporating veterinary records into advanced data analytics and neural networks, thereby predicting diseases, optimizing disease prevention and treatment strategies, and reducing costs. …”
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Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems by Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li, Guanxin Jing, Ye Tao, Xincui Tian

“…The proposed method demonstrates superior performance over traditional machine learning and deep learning baselines on real-world cooling system data. These results validate the effectiveness of the framework for industrial applications such as cooling system monitoring and predictive maintenance.…”
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Expert evaluation of mobile health apps for breast cancer management: a feature-based analysis using the Mobile Application Rating Scale (MARS) by Ghazaleh Mohammadi Mogharab, Reza Khajouei, Narges Norouzkhani, Zahra Esmaeili, Fatemeh Zahra Bagheri, Mohammad Reza Mazaheri Habibi

“…This study aimed to evaluate the quality of breast cancer mobile health (m-health) applications using the Mobile Application Rating Scale (MARS) to guide healthcare stakeholders and patients identify high-quality mobile health applications that meet their needs. …”
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Neutrosophy, Causal AI, and Web3: combo for complex decision-making by Florentin Smarandache, Ranulfo P. Barbosa, Maikel Y. Leyva Vázquez, Joaquin B. Monge

“…Special attention is given to applications in Web3 environments, where decentralized governance, smart contracts, and autonomous decision-making require high levels of reliability and trust. …”
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Sewerage and drainage manhole measuring using terrestrial laser scanning techniques by Cheng Li, Xianghong Hua, Kegen Yu, Ge Tan, Bufan Zhao, Sen Yang, Qi Cui

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An in-depth analysis of two common methodologies used to derive hourly solar radiation values from daily ones: pros and cons by Harry D. Kambezidis, Harry D. Kambezidis

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Enhancing digital literacy in primary education through augmented reality by Natalie Nevrelova, Lilla Korenova, Zsolt Lavicza, Nikola Bruzkova, Angelika Schmid

“…The core objective is to scrutinize the suitable use of AR-integrated mobile applications in primary schooling, spotlighting widely adopted apps and their practical applications. …”
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Capacity Management as a Service for Enterprise Standard Software by Hendrik Müller, Sascha Bosse, Klaus Turowski

“…Therefore, we integrate knowledge discovery activities into well-known capacity planning steps, which we adapt to the special characteristics of enterprise applications. Using a real-world example, we demonstrate how prediction models that were trained on a large scale of monitoring data enable cost-efficient measurement-based prediction techniques to be used in early design and redesign phases of planned or running applications. …”
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Design and Implementation of a Bionic Marine Iguana Robot for Military Micro-Sensor Deployment by Gang Chen, Xin Tang, Baohang Guo, Guoqi Li, Zhengrui Wu, Weizhe Huang, Yidong Xu, Ming Lu, Jianfei Liang, Zhen Liu

“…Underwater sensor deployment in military applications requires high precision, yet existing robotic solutions often lack the maneuverability and adaptability required for complex aquatic environments. …”
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