Identification of polytypism and their dislocations in bilayer MoS2 using correlative transmission electron microscopy and Raman spectroscopy by Xin Zhou, Tobias Dierke, Mingjian Wu, Shengbo You, Klaus Götz, Tobias Unruh, Philipp Pelz, Johannes Will, Janina Maultzsch, Erdmann Spiecker

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Infrared Moving Small Target Detection Based on Spatial–Temporal Feature Fusion Tensor Model by Deyong Lu, Wei An, Haibo Wang, Qiang Ling, Dong Cao, Miao Li, Zaiping Lin

“…The spatial–temporal information has not been fully utilized, and there is a serious imbalance in their exploitation, especially the lack of long-term temporal characteristics. In this article, a novel method based on the spatial–temporal feature fusion tensor model is proposed to solve these problems. …”
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Space Environment Monitoring Unit on Wentian Laboratory Cabin Module of China Space Station by Huanxin Zhang, Guohong Shen, Donghui Hou, Shenyi Zhang, Chunqin Wang, Ying Sun, Liping Wang, Jiajie Liao

“…This article introduces the design and development of a space environment monitoring unit embedded in the versatile experimental assembly for electronic components outside the China space station’s Wentian laboratory cabin module. …”
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An Enhanced Deep Learning Approach to Potential Purchaser Prediction: AutoGluon Ensembles for Cross-Industry Profit Maximization by Hashibul Ahsan Shoaib, Md Anisur Rahman, Jannatul Maua, Ashifur Rahman, M. F. Mridha, Pankoo Kim, Jungpil Shin

“…Accurately identifying potential purchasers is critical for maximizing profitability in highly competitive markets, spanning industries from finance and insurance to telecommunications. This article presents an enhanced deep learning approach for potential purchaser prediction, leveraging an AutoGluon ensemble framework to optimize accuracy and profitability across diverse datasets, including time deposits, health insurance, 5G packages, and credit cards. …”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

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MRI transformer deep learning and radiomics for predicting IDH wild type TERT promoter mutant gliomas by Wenju Niu, Junyu Yan, Min Hao, Yibo Zhang, Tianshi Li, Chen Liu, Qijian Li, Zihao Liu, Yincheng Su, Bo Peng, Yan Tan, Xiaochun Wang, Lei Wang, Hui Zhang, Guoqiang Yang

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Structural, mechanical, and optoelectronic properties of siladiamanes – Novel hypothetical silicon analogs of diamanes: A combined DFT and DFTB study by R. Kevorkyants

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Golf swing classification with multiple deep convolutional neural networks by Libin Jiao, Rongfang Bie, Hao Wu, Yu Wei, Jixin Ma, Anton Umek, Anton Kos

“…In particular, four convolutional neural classifiers are customized: “GolfVanillaCNN” with the convolutional layers, “GolfVGG” with the stacked convolutional layers, “GolfInception” with the multi-scale convolutional layers, and “GolfResNet” with the residual learning. …”
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Dynamically Focused Gaussian Beams for Seismic Imaging by Robert L. Nowack

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Intelligent Feature Selection Ensemble Model for Price Prediction in Real Estate Markets by Daniel Cristóbal Andrade-Girón, William Joel Marin-Rodriguez, Marcelo Gumercindo Zuñiga-Rojas

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General design flow for waveguide Bragg gratings by Brückerhoff-Plückelmann Frank, Buskasper Tim, Römer Julius, Krämer Linus, Malik Bilal, McRae Liam, Kürpick Linus, Palitza Simon, Schuck Carsten, Pernice Wolfram

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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…Detecting compounds with potential hERG inhibitory activity is therefore essential to mitigate cardiotoxicity risks. In this article, we present a new hERG data set of unprecedented size, comprising nearly 300,000 molecules reported in PubChem and ChEMBL, approximately 2000 of which were confirmed hERG blockers identified through in vitro assays. …”
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Analysis of Key Aroma Active Compounds of Novel Qingke Baijiu by GC-MS/GC-O-MS Combined with PLSR by Yahui ZHAO, Pengfei LIAO, Lu CHEN, Yuhong ZHANG, Xuliang WANG, Yulong JIN, Jiajun YU, Hehe LI, Jinyuan SUN

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Study on debris flow vulnerability of ensemble learning model based on spy technology A case study of upper Minjiang river basin by Yutao Chen, Ning Li, Fucheng Xing, Han Xiang, Zilong Chen

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Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning by Nafyad Serre Kawo, Jesse Korus, Yaser Kishawi, Erin Marie King Haacker, Aaron R. Mittelstet

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mbX: An R Package for Streamlined Microbiome Analysis by Utsav Lamichhane, Jeferson Lourenco

“…An upcoming version will have an added function which will further extend mbX to automated statistical comparisons, aiming for an end-to-end microbiome analysis solution by integrating mbX with currently available pipelines. This article presents the design of mbX, its workflow and features, and a comparative discussion positioning mbX relative to other microbiome bioinformatics tools. …”
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Principles of dynamics of children's language picture of the world by E. V. Tarasenko

“…The cognitive principle – proposition is a special stacked structure of knowledge storage, which is implemented and fixed by the structural scheme of the sentence. …”
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DIRECT MANUFACTURING OF METAL PARTS USING LOM-TECHNOLOGY by N. K. Tolochko, A. A. Andrushevich, P. S. Chugaev, T. A. Bogdanobich

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Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene by Jingwen Wang, Zheng Zhu, Tianran Jiang, Ke Chen

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Super‐Resolution Imaging of Nanoscale Inhomogeneities in hBN‐Covered and Encapsulated Few‐Layer Graphene by Lina Jäckering, Konstantin G. Wirth, Lukas Conrads, Jonas B. Profe, Alexander Rothstein, Hristiyana Kyoseva, Kenji Watanabe, Takashi Taniguchi, Dante M. Kennes, Christoph Stampfer, Lutz Waldecker, Thomas Taubner

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