Deposition of HfO₂ by Remote Plasma ALD for High-Aspect-Ratio Trench Capacitors in DRAM by Jiwon Kim, Inkook Hwang, Byungwook Kim, Wookyung Lee, Juha Song, Yeonwoong Jung, Changbun Yoon

“…Dynamic random-access memory (DRAM) is a vital component in modern computing systems. …”
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Platelet-Rich Plasma and Adipose-Derived Mesenchymal Stem Cells in Association with Arthroscopic Microfracture of Knee Articular Cartilage Defects: A Pilot Randomized Controlled Tr... by Michele Venosa, Francesco Calafiore, Manuel Mazzoleni, Emilio Romanini, Simone Cerciello, Vittorio Calvisi

“…The four second-look arthroscopies showed a complete repair of the articular defects by smooth solid cartilage layer, with a good chondrocytic population, in both groups. …”
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Enhancing Predictive Accuracy of Landslide Susceptibility via Machine Learning Optimization by Chuanwei Zhang, Dingshuai Liu, Paraskevas Tsangaratos, Ioanna Ilia, Sijin Ma, Wei Chen

“…The present study examines the application of four machine learning models—Multi-Layer Perceptron, Naive Bayes, Credal Decision Trees, and Random Forests—to assess landslide susceptibility using Mei County, China, as a case study. …”
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High resolution soil moisture mapping in 3D space and time using machine learning and depth functions by Mo Zhang, Yong Ge, Gerard B.M. Heuvelink, Yuxin Ma

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Research progress on moving target defense for SDN by Jinglei TAN, Hongqi ZHANG, Cheng LEI, Xiaohu LIU, Shuo WANG

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Controlled orientation of polystyrene-b-poly(L-lactide) nanostructured thin films by air plasma treatment via thermal annealing by Wen-Chi Huang, Thanmayee Shastry, Pin-Chia Chen, Ashika A P, Kang-Ping Liu, Rong-Ming Ho

“…This work aims to develop a new approach for controlling the orientation of nanostructured block copolymer (BCP) thin films via thermal annealing. A thin layer of polystyrene-block-poly(L-lactide) (PS-b-PLLA) thin film is prepared by spin coating followed by air plasma treatment, giving a layer with randomly crosslinked PS and PLLA. …”
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The influence of cavity configuration and irrigation activation on root canal smear removal—an in vitro study by Duygu Degirmencioglu, Şeyda Erşahan, Yelda Erdem Hepsenoglu, Erhan Erkan, Mustafa Gundogar, Kadir Sagir

“…Background Effective root canal therapy (RCT) depends on proper disinfection rather than complete sterilization of the root canal system. The smear layer created during instrumentation can inhibit disinfection, and its removal is crucial for successful treatment. …”
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A Multi-Architecture Approach for Offensive Language Identification Combining Classical Natural Language Processing and BERT-Variant Models by Ashok Yadav, Farrukh Aslam Khan, Vrijendra Singh

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Research on Fluid Identification Methods for Cambrian Dolomite Reservoirs Based on New Characteristic Response Parameters by CAI Ming, GAO Ziran, ZHANG Yuanjun, YE Chang, WU Dong, CHEN Xu, MIAO Yuxin, ZHANG Chengguang

“…Specifically, the fluid identification accuracy of the RA—C1 cross-plot method reaches 86.79%, that of the RA—Δt cross-plot method is 84.55%, and that of the random forest intelligent method is 88.56%. However, the cross-plot methods exhibit higher accuracy in identifying gas-bearing water layers and water layers. …”
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Exploring the impact of urban morphology on river cooling effects: A case study of the Arakawa river in Tokyo by Liang Zhang, Hasi Bagan, Chaomin Chen, Takahiro Yoshida

“…Additionally, increasing the diversity of green spaces not only strengthens cooling effects through evaporation but also generates multi-layered synergies in distant areas and on road surfaces, further supporting urban heat mitigation strategies. …”
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Prediction rotary drilling penetration rate in lateritic soils using machine learning models by Eugène Gatchouessi Kamdem, Franck Ferry Kamgue Tiam, Luc Leroy Mambou Ngueyep, Olivier Wounabaissa, Hugues Richard Lembo Nnomo, Abraham Kanmogne

“…The present paper investigated an accurate machine learning model for the penetration rates (ROP) prediction in lateritic soil covers layers. The present study investigates various machine learning techniques including the linear regression, K-Nearest Neighbors, ridge regression and Random Forest, to predict the penetration rate. …”
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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…A typical Whipple shield consists of double-layered plates with a certain gap. The space debris impacts the outer plate and is broken into a debris cloud (shattered, molten, vaporized) with dispersed energy and momentum, which reduces the risk of penetrating the bulkhead. …”
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A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features by Yanlin Shao, Peijin Li, Ran Jing, Yaxiong Shao, Lang Liu, Kunpeng Zhao, Binqing Gan, Xiaolei Duan, Longfan Li

“…., surface variation rate, curvature, planarity, among others) are extracted. Next, a double-layer random forest model is employed for lithology identification. …”
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The Goldilocks principle of learning unitaries by interlacing fixed operators with programmable phase shifters on a photonic chip by Kevin Zelaya, Matthew Markowitz, Mohammad-Ali Miri

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CAA-RF: An Anomaly Detection Algorithm for Computing Power Blockchain Networks by Shifeng Jia, Yating Zhao, Yang Zhang, Bin Jia, Wenjuan Lian

“…Our approach uses multi-layer convolutional operations to capture high-order data correlations, combines attention mechanisms for global dependency modeling, and employs random forest for robust anomaly detection, enabling effective real-time security protection for blockchain systems.…”
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Microbiological and Ergonomic Effects of Three Prototypes of a Device to Reduce Aerosol Dispersion in Dental Care During the COVID-19 Pandemic: A Randomized Controlled Clinical Tri... by Camila N. Baldasso, Ruy Teichert-Filho, Daniel R. Marinowic, Maria M. Campos, Maximiliano S. Gomes

“…<b>Objectives</b>: This randomized clinical trial evaluated the microbiological efficacy and the ergonomic impact of three prototypes of a device to reduce aerosol dispersion during dental procedures. …”
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Ultralow Electrical Current Driven Field‐Free Spin‐Orbit Torque Switching of Magnetic Tunnel Junctions by Topological Insulators by Xu Zhang, Aitian Chen, Yifan Zhang, Zhaozhuo Zeng, Yaqin Guo, Dongxing Zheng, Baoshan Cui, Chuangwen Wu, Wenjie Song, Shuo Yang, Zijun Luo, Jingfeng Li, Gianluca Gubbiotti, Xiufeng Han, Jinkui Zhao, Peng Yan, Xufeng Kou, Xixiang Zhang, Hao Wu

“…Abstract Spin‐orbit torque‐driven magnetic random‐access memory (SOT‐MRAM) is one of the promising candidates for next‐generation memory technologies beyond Moore's law. …”
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Atmospheric Turbulence-Controlled Cryptosystems by Ivan B. Djordjevic

“…The proposed encryption scheme employs the traditional scheme to utilize the atmospheric turbulence as the common source of randomness only in the initialization stage to determine the common parameters to be used in the proposed encryption scheme. …”
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On Security Performance of SWIPT Multi-User Jamming Based on Mixed RF/FSO Systems with Untrusted Relay by Xingyue Guo, Shan Tu, Dexian Yan, Yi Wang

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Microleakage and characteristics of resin-tooth tissues interface of a self-etch and an etch-and-rinse adhesive systems by Xuan Vinh Tran, Khanh Quang Tran

“…ObjectivesThis study was conducted to compare the microleakage and characteristics of the resin-tooth tissue interface between self-etch and etch-and-rinse adhesive systems after 48 hours and 3 months.Materials and Methods40 extracted premolar teeth were randomly divided into 2 groups: 1-step self-etch adhesive system – Optibond™ All-In-One, and 2-step etch-and-rinse adhesive system - Adper™ Single Bond 2. …”
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