All-Weather Retrieval of Total Column Water Vapor From Aura OMI Visible Observations by Jiafei Xu, Zhizhao Liu

“…In terms of root-mean-square error, it is overall reduced by 90.44% from 56.38 to 5.39 mm and 90.19% from 53.23 to 5.22 mm compared with GNSS and radiosonde TCWV, respectively. …”
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Analysis and prediction of infectious diseases based on spatial visualization and machine learning by Yunyun Cheng, Yanping Bai, Jing Yang, Xiuhui Tan, Ting Xu, Rong Cheng

“…In order to better apply the stacking model to the prediction of new infectious diseases, we applied the prediction model based on the COVID-19 dataset to the prediction of the number of AIDS and pulmonary tuberculosis (PTB) cases, and verified the wide applicability of our model in the prediction of infectious diseases.…”
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Design, development, and evaluation of a low-cost smart solar-powered weather station for use in agricultural environments by Hamed Mokhtarzadeh, Shiva Gorjian, Saeid Minaei

“…Understanding climatic conditions is crucial for various scientific disciplines and practical applications, especially in tropical regions where weather patterns exhibit considerable spatial and temporal variability. …”
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DFN-YOLO: Detecting Narrowband Signals in Broadband Spectrum by Kun Jiang, Kexiao Peng, Yuan Feng, Xia Guo, Zuping Tang

“…These findings underscore the strong potential of DFN-YOLO for blind signal detection in broadband environments, with significant implications for both civilian and military applications.…”
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The scale of attitudes toward workplace sexual harassment disclosure: development and validation among Iranian nurses by Samaneh Behzadi Fard, Mohammad Reza Baneshi, Farideh Razban, Mahlagha Dehghan

“…Clinical trial number Not applicable.…”
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Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks by Andrzej Liebert, Dominique Hadler, Chris Ehring, Hannes Schreiter, Luise Brock, Lorenz A. Kapsner, Jessica Eberle, Ramona Erber, Julius Emons, Frederik B. Laun, Michael Uder, Evelyn Wenkel, Sabine Ohlmeyer, Sebastian Bickelhaupt

“…A high level of high-frequency error norm (0.87) indicated a strong blurring presence in the VirtuT2 images, which was also confirmed by qualitative reading. …”
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Continuous Estimation of Hand Kinematics From Electromyographic Signals Based on Power-and Time-Efficient Transformer Deep Learning Network by Chuang Lin, Chunxiao Zhao, Jianhua Zhang, Chen Chen, Ning Jiang, Dario Farina, Weiyu Guo

“…These experimental results indicate that our model can maintain the accuracy of the SOTA methods while significantly improving efficiency, thus being a promising approach for real-life applications in wearable devices.…”
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A case study on thermal conductivity characteristics and prediction of rock and soil mass at a proposed ground source heat pump (GSHP) site by Yongjie Ma, Jingyong Wang, Fuhang Hu, Echuan Yan, Yu Zhang, Hao Deng, Xuefeng Gao, Jianguo Kang, Haoxin Shi, Xin Zhang, Jianqiao Zheng, Jixiang Guo

“…Abstract Shallow geothermal energy (SGE) has a wide range of applications in the field of building cooling and heating. …”
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Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics—yesterday, today, and tomorrow by Elhoucine Elfatimi, Yassir Lekbach, Swayam Prakash, Lbachir BenMohamed, Lbachir BenMohamed, Lbachir BenMohamed, Lbachir BenMohamed

“…In the past, the development of vaccines and immunotherapeutics relied heavily on trial-and-error experimentation, as well as extensive and costly in vivo testing, which typically required years of pre-clinical and clinical trials. …”
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A Miniaturized Device Based on Cobalt Oxide Nanoparticles for the Quantification of Uric Acid in Artificial and Human Sweat by Carlos D. Ruiz-Guerrero, Dulce V. Estrada-Osorio, Alejandro Gutiérrez, Fabiola I. Espinosa-Lagunes, Gabriel Luna-Barcenas, Ricardo A. Escalona-Villalpando, Luis G. Arriaga, Janet Ledesma-García

“…Co₃O₄-based materials have multiple applications in the field of materials, especially in sensor technology. …”
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Coordinated Multi-Input and Single-Output Photonic Millimeter-Wave Communication in W-Band Using Neural Network-Based Waveform-To-Symbol Converter by Kexin Liu, Boyu Dong, Zhongya Li, Yinjun Liu, Yaxuan Li, Fangbing Wu, Yongzhu Hu, Junwen Zhang

“…The results show that the NNWSC-based receiver achieves significant bit error rate (BER) reductions compared to conventional receivers across all configurations. …”
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Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis by Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik, Bryan G. Mark

“…We evaluated the performance of each model using Nash-Sutcliffe Efficiency (NSE), Pearson's Correlation Coefficient (PCC), and Root Mean Square Error (RMSE). Our results demonstrate test accuracy with area weighted average NSE, PCC, and RMSE of 0.51 ± 0.31, 0.71 ± 0.23, and 4.75 ± 3.63 cm, respectively. …”
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High Spatial Resolution U-Pb Dating of Low-Uranium Calcite Using LA-MC-ICP-MS by Chenxi ZHANG, Yuxin XIONG, Jiali FU, Wei ZHAO, Lei SHU, Zengsheng LI, Jun XU, Changxiang ZHOU, Fei HONG

“…The combination of carbonate minerals with the U-Pb isotope dating system provides direct temporal constraints for geoscientific applications. LA-MC-ICP-MS with its high sensitivity and accuracy, has been successfully applied to the high spatial resolution U-Pb dating of zircon, calcite and other minerals. …”
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Estimation of physico-chemical properties of soil using machine learning by Patience Chizoba Mba, Opegbemi Matthias Busoye, John Temitope Ajayi, Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Senorpe Asem-Hiablie, Rammohan Mallipeddi, Tusan Park, Daniel Dooyum Uyeh

“…Integration with historical soil data might also open new possibilities for enhancing the accuracy and applicability of these methods for broader soil management practices.…”
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Apple phenotyping using deep learning and 3D depth analysis: An experimental study on fruitlet sizing during early development by Giorgio Checola, Damiano Moser, Paolo Sonego, Cristian Iob, Franco Micheli, Pietro Franceschi

“…This approach could pave the way for future applications, including the evaluation of plant growth regulator trials and the development of predictive models for yield and productivity optimization.…”
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Benchmarking and performance evaluation of a novel deformable image registration software for radiotherapy CT images by Shorug S. Alshammari, Sridhar Yaddanapudi, Blaž Kušnik, Rok Ivančič, Kristjan Anderle, Jonathan G. Li, Keith M. Furutani, Chris J. Beltran, Bo Lu

“…VelocityAI and MIM served as benchmarks to assess DirOne’s performance. Target registration error (TRE), dice similarity coefficient (DSC), and mean distance to agreement (MDA) were the evaluation metrics. …”
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BrYOLO-Mamba: A Approach to Efficient Tracheal Lesion Detection in Bronchoscopy by Yuejiao Cao, Jianzhong Zhang, Ruibing Zhuo, Jin Zhao, Yanting Dong, Tanzhen Liu, Hui Zhao

“…This model not only provides a powerful solution for bronchoscopic lesion detection but also significantly reduces computational costs, offering valuable insights for future research and clinical applications.…”
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Biomarker and clinical data–based predictor tool (MAUXI) for ultrafiltration failure and cardiovascular outcome in peritoneal dialysis patients: a retrospective and longitudinal st... by Eva María Arriero-País, María Auxiliadora Bajo-Rubio, Roberto Arrojo-García, Pilar Sandoval, Guadalupe Tirma González-Mateo, Patricia Albar-Vizcaíno, Gloria del Peso-Gilsanz, Marta Ossorio-González, Pedro Majano, Manuel López-Cabrera, Gloria del Peso-Gilsanz

“…The machine learning-based software MAUXI provides applicability of ET-LDA models with ≤38 variables to predict PD endurance and type of PD technique failure related to peritoneal membrane deterioration.…”
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Predicting Pharmacokinetics of Active Constituents in <i>Spatholobi caulis</i> by Using Physiologically Based Pharmacokinetic Models by Xiaoyan Liu, Ruihu Du, Tao Zhang, Yingzi Li, Ludi Li, Zheng Yang, Youbo Zhang, Qi Wang

“…The accuracy of the PBPK models was assessed using fold-error (FE) values. Result: The FE values ranged from 1.03 to 1.52, meeting the PBPK model regulations where FE should be less than 2. …”
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An Enhanced Deep Neural Network Approach for WiFi Fingerprinting-Based Multi-Floor Indoor Localization by Shehu Lukman Ayinla, Azrina Abd Aziz, Micheal Drieberg, Misfa Susanto, Afidalina Tumian, Mazlaini Yahya

“…Additionally, it achieved a Mean Absolute Error (MAE) of 5.08 m and 4.29 m for the respective datasets, highlighting its potential in multi-floored environments.…”
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