Quantitative scale validation of the Dimensional Anhedonia Rating Scale in the treatment of Chinese patients with major depressive disorder by XiaoJing Gu, Xiaowei Chen, Yun-Ai Su, Tianmei Si, Jingyu Lin, Donald M Bushnell, Dongjing Fu, Carol Jamieson, Heather Rozjabek

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Quantifying variability associated with high-resolution respirometry in human permeabilized skeletal muscle fibers by Emily J. Ferguson, Justin Bureau, Tanner Stokes, Danielle Nyman, Joel Seigel, Shivam Gandhi, Luca J. Delfinis, Brendon J. Gurd, Christopher G.R. Perry, Chris McGlory

“…The purpose of this investigation was to determine the coefficients of variation (CV) and technical error of measurement (TEM) for rates of mitochondrial respiration obtained from two permeabilized skeletal muscle fiber bundles from a single biopsy (intra-biopsy) and on two experimental visits (inter-biopsy) using an O2K high-resolution respirometer. …”
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Estimated cumulative incidence of intervention by children's social care services to age 18: a whole-of-England administrative data cohort study using the child in need census by Matthew A Jay, Patricio Troncoso, Andy Bilson, Dave Thomson, Richard Dorsett, Rachel Pearson, Bianca De Stavola, Ruth Gilbert

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Integrated soil moisture fusion for enhanced agricultural drought monitoring in China by Aifeng Lv, Xianglei Yang, Wenxiang Zhang, Yan Han

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Soil temperature estimation at different depths, using remotely-sensed data by Ran HUANG, Jian-xi HUANG, Chao ZHANG, Hong-yuan MA, Wen ZHUO, Ying-yi CHEN, De-hai ZHU, Qingling WU, Lamin R. MANSARAY

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A long-term high-resolution air quality reanalysis with a public-facing air quality dashboard over the Contiguous United States (CONUS) by R. Kumar, P. Bhardwaj, P. Bhardwaj, C. He, J. Boehnert, F. Lacey, S. Alessandrini, K. Sampson, M. Casali, S. Swerdlin, O. Wilhelmi, G. G. Pfister, B. Gaubert, H. Worden

“…Meteorological fields simulated with the Weather Research and Forecasting (WRF) model are used to drive CMAQ offline and to generate meteorology-dependent anthropogenic emissions. …”
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Predictive Modelling of H2S Removal from Biogas Generated from Palm Oil Mill Effluent (POME) Using a Biological Scrubber in an Industrial Biogas Plant: Integration of Artificial Ne... by Joanna Lisa Clifford, Yi Jing Chan, Mohd Amran Bin Mohd Yusof, Timm Joyce Tiong, Siew Shee Lim, Chai Siah Lee, Woei-Yenn Tong

“…Research background. Biogas production from palm oil mill effluent (POME) is inherently unstable due to variations in feedstock composition and operating conditions. …”
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Identification of Earthquake Precursors Origin and AI Framework for Automatic Classification for One of These Precursors by Ghada Ali, Lotfy Samy, Omar M. Saad, Ali G. Hafez, El-Sayed Hasaneen, Kamal AbdElrahman, Ibrahim Salah, Mohammed S. Fnais, Hamed Nofel, Ahmed M. Mohamed

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Joint optimization of AI large and small models for surface temperature and emissivity retrieval using knowledge distillation by Wang Dai, Kebiao Mao, Zhonghua Guo, Zhihao Qin, Jiancheng Shi, Sayed M. Bateni, Liurui Xiao

“…For instance, a large model trained with simulated ASTER data achieved a Pearson Correlation Coefficient (PCC) of 0.999 and a Mean Absolute Error (MAE) of 0.348 K in surface temperature retrieval. …”
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A Universal BRDF Archetype Database for Normalizing Directional Reflectance to Nadir BRDF Adjusted Reflectance by Qianrui Xi, Hu Zhang, Junqin Xie, Xiaoning Zhang, Hongtao Cao, Yan Liu, Lei Cui, Yadong Dong

“…This study provides a new approach for reflectance angular normalization, offering the potential to provide a more reliable data foundation for future scientific research and practical applications.…”
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Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models by Rami Al-Hajj, Gholamreza Oskrochi, Mohamad M. Fouad, Ali Assi

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Marine Soundscape Monitoring Enabled by Artificial Intelligence-Aided Integrated Distributed Sensing and Communications by Juan M. Marin, Wahyu Hendra Gunawan, Alaaeddine Rjeb, Islam Ashry, Baoshi Sun, Talha Ariff, Chun Hong Kang, Tien Khee Ng, Shinkyu Park, Carlos M. Duarte, Boon S. Ooi

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Field Deviation in Radiated Emission Measurement in Anechoic Chamber for Frequencies up to 60 GHz and Deep Learning-Based Correction by Feng Shi, Liping Yan, Xuping Yang, Xiang Zhao, Richard Xian-Ke Gao

“…The results indicate that the correction is reliable, with an average error of 6.35% for a 3 m distance in a semianechoic chamber and less than 4.83% for other test scenarios. …”
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A Regional Ionospheric <i>TEC</i> Map Assimilation Method Considering Temporal Scale During Geomagnetic Storms by Hai-Ning Wang, Qing-Lin Zhu, Xiang Dong, Ming Ou, Yong-Feng Zhi, Bin Xu, Chen Zhou

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From hospital to home: a comprehensive platform supporting cardiac rehabilitation post-revascularization by Samaneh Bakhshayesh, Arash Gholoobi, Khadijeh Moulaei, Farnaz Khoshrounejad, Mohammad Reza Mazaheri Habibi, Zahra Ebnehoseini, Majd Jangi, Saeid Eslami

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Transfer learning for enhancing the generality of leaf spectroscopic models in estimating crop foliar nutrients across growth stages by Yurong Huang, Wenqian Chen, Wei Tan, Yujia Deng, Cuihong Yang, Xiguang Zhu, Jian Shen, Nanfeng Liu

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Assessing Social Participation Among Kidney Transplant Recipients Using PROMIS Computer Adaptive Testing by Maria G. Pucci, Mowa Ayibiowu, Jad Fadlallah, Aghna Wasim, Nathaniel Edwards, Madeline Li, Doris Howell, Susan Bartlett, John D. Peipert, Samantha Anthony, Istvan Mucsi, Janine Farragher

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Organization of production of Russia-made Mueller-Hinton broth by Kosilova I.S., Domotenko L.V., Khramov M.V.

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Improving the quality of theoretical training of cadets with the help of information and communication technologies by V. V. Bulgakov

“…The results are confirmed by a statistical criterion based on the student’s distribution, with a possible relative error of not more than 5%.The demand of the Fire Test program among the Faculty is confirmed by the dynamics of its application for the organization of testing and control of theoretical training. …”
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A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management by Muhammad Salman Haleem, Daphne Katsarou, Eleni I. Georga, George E. Dafoulas, Alexandra Bargiota, Laura Lopez-Perez, Miguel Rujas, Giuseppe Fico, Leandro Pecchia, Dimitrios Fotiadis, Gatekeeper Consortium

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