First Principles Study of Electronic and Optical Properties of Al‐P Co‐Doped ZnO in the Presence of Zn Vacancies by Zhengguang Guo, Yonghong Yao, Jin Liu

“…Abstract The BP neural network optimized by the Adam algorithm was used to predict the defect formation energy of Al−P co‐doped ZnO systems with different concentrations of P replacing O under the presence of different concentrations of VZn. …”
Get full text

Exercise-changed gut mycobiome as a potential contributor to metabolic benefits in diabetes prevention: an integrative multi-omics study by Yao Wang, Jiarui Chen, Yueqiong Ni, Yan Liu, Xiang Gao, Michael Andrew Tse, Gianni Panagiotou, Aimin Xu

“…Furthermore, a machine-learning algorithm built using baseline microbial signatures and clinical characteristics predicted exercise responsiveness in improvements of insulin sensitivity, with an area under the receiver operating characteristic (AUROC) of 0.91 (95% CI: 0.85–0.97) in the discovery cohort and of 0.79 (95% CI: 0.74–0.86) in the independent validation cohort (n = 30).Conclusions Our findings suggest that intense exercise training significantly remodels the human fungal microbiome composition. …”
Get full text

Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…In addition, the four models predict sentiment against unlabeled data and all four models predict the majority of sentiment is negative. …”
Get full text

New concepts of magnetohydrodynamics and entropy rate for radiative nanofluid flow invoking artificial neural network approach by Aqsa Razzaq, T. Hayat, Sohail A. Khan, Aneeta Razaq

“…Subsequently the advanced computational technique (ANNs) based on Levenberg-Marquardt algorithm (LMA) is integrated to train the resulting datasets and facilitate predictions of advanced solutions. …”
Get full text

Microgrid system for electric vehicle charging stations integrated with renewable energy sources using a hybrid DOA–SBNN approach by Kommoju Naga Durga Veera Sai Eswar, M. Arun Noyal Doss, Mohammad Shorfuzzaman, Ali Elrashidi

“…The manuscript introduces a hybrid technique for efficient electric vehicle (EV) charging integrating the Dollmaker Optimization algorithm (DOA) and spatial Bayesian neural network (SBNN). …”
Get full text

Recorded poor insight as a predictor of service use outcomes: cohort study of patients with first-episode psychosis in a large mental healthcare database by Robert Stewart, Neha Ramu, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel

“…It was significantly associated with higher levels of all four outcomes over all five follow-up periods.Conclusions Recorded poor insight in people with recent onset psychosis predicted subsequent legally enforced hospitalisations and higher number of hospital admissions, number of unique antipsychotics prescribed and days spent hospitalised. …”
Get full text

Determination of the Predominant Orientation of Cracks in Ice Cover of the Laptev Sea from the Ice Drift Data by L. N. Dyment, A. A. Ershova, V. S. Porubaev, A. A. Chirkova

“…The paper shows that in order to solve the problem of predicting the predominant orientation of cracks in ice covering the Laptev Sea, when the satellite information is absent, the orientation of cracks in ice cover can be calculated using data on the ice drift in the Sea. …”
Get full text

Patient selection criteria for transcatheter implantation of aortic valve by M.B. Todurov, O.V. Zelenchuk, A.V. Khokhlov, M.V. Stan, N.O. Yashchenko

“…The aim – to conduct a literature review, analyze and, based on our own results, present an algorithm for choosing the tactics of surgical treatment of patients with severe aortic stenosis. …”
Get full text

Meta-RHDC: Meta Reinforcement Learning Driven Hybrid Lyrebird Falcon Optimization for Dynamic Load Balancing in Cloud Computing by Mallu Shiva Rama Krishna, D. Khasim Vali

“…The Meta-RHDC model leverages convolutional and recurrent neural networks to predict virtual machine loads and dynamically classify them into overloaded and underloaded categories. …”
Get full text

Applying model-based recursive partitioning to improve pedestrian exposure models to support transportation safety analyses by Jakob Wiegand, Vikash Gayah

“…The proposed method was tested on pedestrian exposure data from North Carolina significantly improved predictions of pedestrian volumes by approximately 10%. …”
Get full text

A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022 by Fei Wang, Yang Wei, Rongrong Li, Hongjiang Hu, Xiaojing Li

“…Specific results are shown below: Numerous algorithmic predictions show the ensemble learning algorithm with the smallest error explained 71% of the ECa spatial variability. …”
Get full text

Optimization of a Hybrid Off-Grid Solar PV—Hydro Power Systems for Rural Electrification in Cameroon by Chu Donatus Iweh, Guy Clarence Semassou, Roger Houèchénè Ahouansou

“…They also accurately predict system operation than deterministic methods.…”
Get full text

Phenotyping of outpatients with heart failure with preserved ejection fraction and poor prognosis by V. N. Larina, V. I. Lunev

“…The threshold value for predicting death for LVGFI was ≤21,4%, for derivative index of LVGFI — ≥303,6 ml. …”
Get full text

Monitoring and Modeling Urban Temperature Patterns in the State of Iowa, USA, Utilizing Mobile Sensors and Geospatial Data by Clemir Abbeg Coproski, Bingqing Liang, James T. Dietrich, John DeGroote

“…Using the random forest machine-learning algorithm and estimated urban morphological variables at varying neighborhood distances derived from 1 m² aerial imagery and derived products from LiDAR data, we created 24 predicted surface temperature models that demonstrated R² coefficients ranging from 0.879 to 0.997 with the majority exceeding an R² of 0.95, all with <i>p</i>-values < 0.001. …”
Get full text

Semisupervised Learning for Detecting Inverse Compton Emission in Galaxy Clusters by Sheng-Chieh Lin, Yuanyuan Su, Fabio Gastaldello, Nathan Jacobs

“…Traditional spectral fitting is better at identifying IC cases among true IC spectra (a better recall), while IC predictions made by CAE have a higher chance of being true IC cases (a better precision), demonstrating that they mutually complement each other.…”
Get full text

Single-cell landscape of dynamic changes in CD8+ T cells, CD4+ T cells and exhausted T cells in hepatocellular carcinoma by Rongqiang Liu, Jing Ye, Jianguo Wang, Wangbin Ma, Zhendong Qiu, Jia Yu, Weixing Wang

“…Immune checkpoint inhibitor genes and TIDE methods were used to predict immunotherapy response. Finally, immunohistochemistry and real-time PCR were used to verify gene expression. …”
Get full text

Remote Sensing Image Detection Method Combining Dynamic Convolution and Attention Mechanism by Yunfei Zhang, Ming Chen, Cong Chen

“…Additionally, to improve the accuracy of bounding box regression, we integrated the GIoU loss function to optimize the geometric matching between ground truth and predicted boxes, addressing the problem of inaccurate bounding box localization for small objects and enhancing localization precision. …”
Get full text

Addressing Spatial Variability in Estimating Cover Management Factor of Soil Erosion Models using Geoinformatics: A Case Study of Netravati Catchment, Karnataka, India by Waleed Makhdumi, Shwetha H. R., G. S. Dwarakish, Jagadeesha B. Pai

“…This study presents a region-specific approach for estimating the C factor, serving as a reliable tool for improving soil erosion predictions in the Western Ghats and Coastal Plains of India. …”
Get full text

Complex Large-Deformation Multimodality Image Registration Network for Image-Guided Radiotherapy of Cervical Cancer by Ping Jiang, Sijia Wu, Wenjian Qin, Yaoqin Xie

“…The DSC index of the MTEF algorithm is 5.64% higher than that of the TransMorph algorithm. …”
Get full text

Mechanical positioning of multiple nuclei in muscle cells. by Angelika Manhart, Stefanie Windner, Mary Baylies, Alex Mogilner

Get full text