Microbial community differentiation in vent chimneys of the Lost City Hydrothermal Field reflects habitat heterogeneity by Osama M. Alian, William J. Brazelton, Karmina A. Aquino, Katrina I. Twing, H. Lizethe Pendleton, Gretchen Früh-Green, Susan Q. Lang, Matthew O. Schrenk, Matthew O. Schrenk

“…These data hint at microenvironmental complexity lost within standard bulk analyses. The findings of this study underscore the need to more closely examine microbe-mineral interactions in natural environments, critically informing not just population-level distributions, but also the functional underpinnings of these extremophile microbial communities.…”
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Diverse pathways to decarbonization: cluster-specific impacts of energy sources on CO2 emissions in the European Union by Jana Chovancová, Igor Petruška, Ugur Korkut Pata, Peter Adamišin

“…Wind shows mixed behaviour, with both positive and negative significance in certain clusters, highlighting the complexity of integrating wind energy into existing infrastructures. …”
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Diversity and Plant Growth-Promoting Properties of <i>Rhodiola rosea</i> Root Endophytic Bacteria by Inga Tamošiūnė, Muhammad Fahad Hakim, Odeta Buzaitė, Vidmantas Stanys, Jurgita Vinskienė, Elena Andriūnaitė, Danas Baniulis

“…The study results established the complexity of the succulent <i>R. rosea</i> endophytic microbiome and identified isolates for potential plant growth-stimulating applications.…”
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Real-Time Compression Scheme for Urban Rail Transit Train Operation Data by LI Dexiang, WANG Linmei, WANG Shu

“…［Result & Conclusion］ The proposed multi-dimensional real-time data compression scheme features low complexity, strong compression ability and fast compression speed. …”
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A Person-Based Adaptive Traffic Signal Control Method with Cooperative Transit Signal Priority by Wei-Hsun Lee, Hsuan-Chih Wang

“…Person-based signal control systems, which transform traffic delay computation units from vehicle to passenger, have been proposed to try to address this limitation. …”
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Multidimensional Analysis of PANoptosis-Related Molecule CASP8: Prognostic Significance, Immune Microenvironment Effect, and Therapeutic Implications in Hepatocellular Carcinoma by Fei Peng, Fang Zhu, Baodi Cao, Liang Peng

“…Techniques included Kaplan–Meier survival curves, Cox regression, LASSO analysis, and various computational methods for understanding the tumor microenvironment. …”
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The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning by Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu

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CONCEPTS OF IMPROVING CURRENT PROTECTION OF POWER-GRID LINES by F. A. Romaniuk, M. A. Shevaldin

“…The authors offer a variant for solving the problem with computation of the second-stage time delays in those instances where several feeders diverge from the bus bars of the substation located in the end of the protected line.Improving current protections for the 6–35 kV transmission lines with one-end power supply against interphase short-circuits can be based on the collective application of the following principles: accounting for the type and location of the short-circuit which provides for the high-performance cutoff zone instantaneous expansion and its independence on the mode of failure and the grid operation mode. …”
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VOF Modeling and Analysis of the Segmented Flow in Y-Shaped Microchannels for Microreactor Systems by Xian Wang, Hiroyuki Hirano, Gongnan Xie, Ding Xu

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Thiophene-fused aromatic belts by Hiroki Shudo, Philipp Wiesener, Elena Kolodzeiski, Kiichi Mizukami, Daiki Imoto, Harry Mönig, Saeed Amirjalayer, Hirotoshi Sakamoto, Henning Klaasen, Bart Jan Ravoo, Nobuo Kimizuka, Akiko Yagi, Kenichiro Itami

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Numerical Optimization of the Hydraulic and Hemolytic Performance of a Centrifugal Ventricular Assist Device Based on Impeller Flow Passage and Outlet Geometry by Reza Sahebi-Kuzeh Kanan, Hanieh Niroomand-Oscuii, Habib Badri Ghavifekr, Farzan Ghalichi, Kohyar Yazdanpanah-Ardakani

“…This pump has been simulated using computational fluid dynamics used the Ansys CFX 17. Finally, the appropriate pump has been selected for low hemolysis index (HI). …”
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Survey on intellectual property protection for deep learning model by Xinya WANG, Guang HUA, Hao JIANG, Haijian ZHANG

“…With the rapid development of deep learning technology, deep learning models have been widely used in many fields such as image classification and speech recognition.Training a deep learning model relies on a large amount of data and computing power, thus selling the trained model or providing specific services (DLaaS, e.g.) has become a new business.However, the commercial interests of model trainers and the intellectual property rights of model developers may be violated if the model is maliciously stolen.With deep neural network watermarking becoming a new research topic, multimedia copyright protection techniques were used for deep learning model protection.Numerous methods have been proposed in this field and then a comprehensive survey is needed.the existing deep neural network watermarking methods were elaborated and summarized and the future research directions of this field were discussed.The overall framework of neural network watermarking was presented, whereby the basic concepts such as classification model and model backdoor were introduced.Secondly, the existing methods were divided into two types according to the mechanism of watermark embedding, one is to embed the watermark bits into the carrier of internal information of the network, and the other one uses the established backdoor mapping as the watermark.These two existing deep neural network watermarking methods were analyzed and summarized, and attacks to the watermarks were also introduced and discussed.By analyzing the white-box and black-box conditions in watermarking scenario, it comes to the conclusion that the model is difficult to be effectively protected when it is distributed in the white-box manner, and the neural network watermark defenses in the black-box distribution and black-box verification are both worthy for further research.…”
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Author Correction: Layer-by-layer phase transformation in Ti3O5 revealed by machine-learning molecular dynamics simulations by Mingfeng Liu, Jiantao Wang, Junwei Hu, Peitao Liu, Haiyang Niu, Xuexi Yan, Jiangxu Li, Haile Yan, Bo Yang, Yan Sun, Chunlin Chen, Georg Kresse, Liang Zuo, Xing-Qiu Chen

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An Exploration of Gene-Gene Interactions and Their Effects on Hypertension by Ying Meng, Susan Groth, Jill R. Quinn, John Bisognano, Tong Tong Wu

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Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks by Yang Yang, Rui Lyu, Zhipeng Gao, Lanlan Rui, Yu Yan

“…Edge networking brings computation and data storage as close to the point of request as possible. …”
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Data Assimilation of High‐Latitude Electric Fields: Extension of a Multi‐Resolution Gaussian Process Model (Lattice Kriging) to Vector Fields by Haonan Wu, Xian Lu

“…Such multi‐resolution fitting has the smallest error and shortest computation time, making the regional high‐resolution modeling efficient. …”
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Understanding metastasis mixed-treatment responses through genomic analyses by Susana Garcia-Recio, Paola Zagami, Brooke M. Felsheim, Amy Wheless, Kerry Thomas, Renato Trimarchi, Lisa A. Carey, Charles M. Perou

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Reference Input Signals Formation for Induction Motor Control in Traction Drive by O. F. Opeiko

“…The purpose of this work is to build the analytical improved (with resistances estimation) real time computation of the reference inputs for rotor flux and torque in the vector control system of an induction motor of a traction electric drive. …”
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Drug resistant epilepsy as the consequence of inadequate control of type 1 diabetes by Ewa M. Sokolewicz, Kamil Dzwilewski, Natalia Omieczyńska, Marta Zawadzka, Maria Mazurkiewicz-Bełdzińska

“…In conclusion, glucose is one of the key metabolic agents for the proper brain function and any imbalances in its blood level may impair the neuronal computation. Thus, it is extremely important, especially among diabetic patients, to control glucose blood level and avoid any disturbances, as they may lead to severe consequences, such as HE and drug-resistant epilepsy.…”
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Development of a PM2.5 Forecasting System Integrating Low-cost Sensors for Ho Chi Minh City, Vietnam by Nguyen Ky Phung, Nguyen Quang Long, Nguyen Van Tin, Dang Thi Thanh Le

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