Switchable electrochemical pathways for the selective C(sp3)-Ge bond formation by Haifeng Chen, Cai Zhai, Huabing Zhang, Chen Zhu, Magnus Rueping

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Single-port robotic retroperitoneoscopic nephroureterectomy: Technical approach and recommendations for patient selection by Benjamin Yu, Richard E. Link

“…We focus on patient selection, advantages of regionalized SP surgery, and technical tips for operative efficiency and safety. …”
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Optimizing mouse metatranscriptome profiling by selective removal of redundant nucleic acid sequences by Morgan Roos, Samuel Bunga, Asako Tan, Erica Maissy, Dylan Skola, Alexander Richter, Daniel S. Whittaker, Paula Desplats, Amir Zarrinpar, Rick Conrad, Scott Kuersten

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The Partner Selection Modes for Knowledge-Based Innovation Networks: A Multiagent Simulation by Lvcheng Li, Jialong Xie, Ruyi Wang, Jiafu Su, Stavros Sindakis

“…Proper partner selection can increase the efficiency of the entire innovation system. …”
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Graph-contrast ransomware detection (GCRD) with advanced feature selection and deep learning by Suneeta Satpathy, Pratik Kumar Swain

“…GFS utilizes graph neural networks (GNNs) to generate a feature graph, enabling efficient pruning of essential features from portable executable (PE) files. …”
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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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Dynamic feature selection for silicon content prediction in blast furnace using BOSVRRFE by Junyi Duan

“…Abstract Accurate prediction of silicon content in blast furnace ironmaking is essential for optimizing furnace temperature control and production efficiency. However, large-scale industrial datasets exhibit complexity, dynamism, and nonlinear relationships, posing challenges for feature selection. …”
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Selective evolution of methanogenic communities by β-lactam antibiotics promotes methane production by Yuting Zhe, Huaigang Cheng, Danjing Ding, Yueyue He, Zhuohui Ma, Jing Shen

“…By utilizing amoxicillin, the research promotes the selective growth of methane-producing microbes while suppressing harmful ones, resulting in faster and more efficient methane production with enhanced process control. …”
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Applications of randomly selected sets of exact Voight's solutions for vibration of thin plates by Ігор Ориняк, Юлія Бай, Ірина Костюшко

“… The principally new method of selected exact solutions, SES, for plate vibration based on fundamental solutions of Voigt is suggested. …”
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Modeling Porosity Surface of 3D Selective Laser Melting Metal Materials by Matej Babič, Roman Šturm, Teofil-Florin Gălățanu, Ildikó-Renáta Száva, Ioan Száva

“…We used fractal dimensions to determine the complexity of the microstructure of selective laser melting specimens. …”
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A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects by Yanxi Xie, Yuewen Li, Zhijie Xia, Ruixia Yan, Dongqing Luan

“…The penalized h-likelihood method avoids the messy integration for the random effects and is computationally efficient. Furthermore, it demonstrates good performance in relevant-variable selection. …”
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An Improved PIN Diode Model Design for a Tunable Frequency Selective Absorber by Hanxiang Lin, Xiaoxing Fang

“…As a result, it also minimizes the electromagnetic interference that often arises from bias lines, thereby improving the overall system efficiency and reliability. The proposed model, therefore, reduces the complexity of the absorbing system while enhancing its performance and tunability. …”
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Two-Stage Unsupervised Hyperspectral Band Selection Based on Deep Reinforcement Learning by Yi Guo, Qianqian Wang, Bingliang Hu, Xueming Qian, Haibo Ye

“…In the design of the reward function, the Optimal Index Factor (OIF) was introduced as the evaluation metric to encourage the agent to select bands with high information content and low redundancy, and thereby improve the efficiency and quality of the selection process. …”
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Evaluation of Models for Describing Photosynthetic Light–Response Curves and Estimating Parameters in Rice Leaves at Various Canopy Positions by Yangjie Guo, Yuping Lv

“…The photosynthetic light–response (<i>P</i>_n/<i>I</i>) curve is a crucial tool for accurately estimating photosynthetic parameters. However, selecting the most suitable model from numerous available light–response models is still difficult because of the complex canopy structure. …”
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Modulating selectivity and stability of the direct seawater electrolysis for sustainable green hydrogen production by Dazhi Yao, Chun Liu, Yanzhao Zhang, Shuhao Wang, Yan Nie, Man Qiao, Dongdong Zhu

“…However, the inherently complex composition of seawater—laden with halide ions, multivalent cations (Mg2+, Ca2+), and organic/biological impurities—presents formidable challenges in maintaining both selectivity and durability. …”
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Youth Involvement in Pornography and Academic Engagement in Selected Secondary Schools in Kabale Municipality. by Kanyesigye, Bens Rogers

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Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection by Ibrahim Al-Shourbaji, Abdalla Alameen

“…This study demonstrates the significant potential of XAI-driven feature selection to create more efficient and accurate ANN models for SR prediction.…”
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A Benzimidazole-Based Fluorescent Probe for the Selective Recognition of Cobalt (II) Ions by Jing Zhu, Hua-Fen Wang, Jia-Xiang Zhang, Man Wang, Yu-Wei Zhuang, Zhi-Guang Suo, Ye-Wu He, Yan-Chang Zhang, Min Wei, Hai-Yan Zhang

“…Fluorescent probes offer high sensitivity, selectivity, a rapid response, and ease of use, making them ideal for the accurate and efficient recognition of Co²⁺ in complex samples. …”
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Spatial Heterogeneity of Habitat Selection of Large Carnivores and Their Ungulate Prey in Proximity to Roads by Xuankai Liang, Zexu Long, Shiyu Chen, Jinzhe Qi, Buyi Sun, Nathan James Roberts, Heng Bao, Guangshun Jiang

“…Our results suggest that the factors affecting the spatial distribution of predators are more complex than those for prey. More significantly, the selection coefficients of roe deer and wild boar for certain habitat factors serve as crucial explanatory variables in the Amur tiger and leopard models. …”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Future wireless systems with massive antennas must balance data rates and RF chain costs. Antenna selection activating only a subset of antennas addresses this challenge. …”
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