Asymmetric synthesis of stereogenic-at-iridium(III) complexes through Pd-catalyzed kinetic resolution by Yun-Peng Chu, Xue-Lin Yue, De-Hai Liu, Chuanyong Wang, Jiajia Ma

“…Notably, while asymmetric catalysis has played a crucial role in the production of optically active organic molecules, its application to stereogenic-at-metal complexes is less straightforward. In this study, we introduce a kinetic resolution strategy employing a Pd-catalyzed asymmetric Suzuki-Miyaura cross-coupling reaction that efficiently produces optically active stereogenic-at-iridium complexes from racemic mixtures with high selectivity (achieving an s-factor of up to 133). …”
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Using Multiple Criteria Optimization and Two-Stage Genetic Algorithms to Select a Population Management Strategy with Optimized Reliability by Jessica L. Chapman, Lu Lu, Christine M. Anderson-Cook

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A Bio-Inspired Learning Dendritic Motion Detection Framework with Direction-Selective Horizontal Cells by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Hiroki Sugiura, Zheng Tang

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Enhanced Selective Separation of Pu(IV) and U(VI) Using Novel Diethylene Glycolamide Ligand by Xiaoyun Guo, Junli Wang, Yao Liu, Haojun Zhao, Hui Wang, Wentao Wang, Baole Li, Taihong Yan

“…The study unveils that the ligand demonstrates remarkable selectivity and separation efficiency towards Pu(IV) ions while maintaining an exceptionally low extraction capacity for U(VI) across a wide acidity spectrum of 0.1~6 mol/L. …”
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Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique by Karim Gasmi, Najib Ben Aoun, Najib Ben Aoun, Khalaf Alsalem, Ibtihel Ben Ltaifa, Ibrahim Alrashdi, Lassaad Ben Ammar, Manel Mrabet, Abdulaziz Shehab

“…Traditional methods often fall short in achieving the required precision due to the complex and heterogeneous nature of brain tumors. …”
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Tracking a Subset of Skeleton Joints: An Effective Approach towards Complex Human Activity Recognition by Muhammad Latif Anjum, Stefano Rosa, Basilio Bona

“…We present a robust algorithm for complex human activity recognition for natural human-robot interaction. …”
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FROM TOPIC SELECTION TO SUCCESSFUL PUBLICATION: A ROADMAP FOR PHILOSOPHY DOCTOR (PHD) SUPERVISORS AND STUDENTS by Burhan Fatih Kocyigit, Nurlan Aukenov, Marlen Yessirkepov, Bekaidar Nurmashev

“…Doctoral education is a rigorous and complex endeavor that demands more than subject-matter proficiency. …”
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Advances in enhancing hydrodeoxygenation selectivity of lignin-derived oxygenates: From synthetic strategies to fundamental techniques by Xinru Wu, Hongwei Zhang, Cejun Hu, Xiaojun Bao, Pei Yuan

“…Addressing these challenges will pave the way for the development of efficient and selective HDO catalysts, thus advancing the field of renewable LDOs conversion.…”
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Mitigating Multicollinearity in Induction Motors Fault Diagnosis Through Hierarchical Clustering-Based Feature Selection by Bassam A. Hemade, Sabbah Ataya, Attia A. El-Fergany, Nader M. A. Ibrahim

“…These findings highlight the ability of AHC to handle complex fault scenarios, which offer a more efficient and generalized fault diagnosis model compared to ensemble methods-based feature selection.…”
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Predictive modeling of pediatric drug-induced liver injury: Dynamic classifier selection with clustering analysis by Zixin Shi, Linjun Huang, Haolin Wang

“…The ensemble learning models consistently outperformed individual classifier models, with the presented study achieving the highest F1-score (0.926), MCC (0.917), G-mean (0.959), demonstrating the strength of this hybrid approach in addressing the complexities of pediatric DILI prediction. Conclusion The integration of clustering analysis with dynamic classifier selection has demonstrated efficacy in complex real-world clinical settings. …”
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Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

“…The sparse mmWave channel in the beamspace domain allows fewer radio-frequency (RF) chains by selecting dominant beams, boosting both communication efficiency and sensing resolution. …”
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Evolution Mechanism of Advanced Equipment Manufacturing Innovation Network Structure from the Perspective of Complex System by Jianbo Wang, Xing Cao

“…The variable adopts the Malmquist–Luenberger global super-efficiency index model. There are two main explanatory variables. …”
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Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks by Carlos A. Guzmán-Medina, Mario E. Rivero-Angeles, Izlian Y. Orea-Flores

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A comprehensive review on deep learning applications in advancing biodiesel feedstock selection and production processes by Olugbenga Akande, Jude A. Okolie, Richard Kimera, Chukwuma C. Ogbaga

“…Our comprehensive analysis demonstrates that ANNs provide significant insights into the feedstock assessment process, emerging as a potent tool for identifying new correlations within complex datasets. By leveraging this capability, ANNs can significantly advance biodiesel research, producing more sustainable and efficient feedstock production. …”
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Human tetherin exerts strong selection pressure on the HIV-1 group N Vpu protein. by Daniel Sauter, Daniel Unterweger, Michael Vogl, Shariq M Usmani, Anke Heigele, Silvia F Kluge, Elisabeth Hermkes, Markus Moll, Edward Barker, Martine Peeters, Gerald H Learn, Frederic Bibollet-Ruche, Joëlle V Fritz, Oliver T Fackler, Beatrice H Hahn, Frank Kirchhoff

“…We found that these N-Vpus acquired four amino acid substitutions (E15A, V19A and IV25/26LL) in their transmembrane domain (TMD) that allow efficient interaction with human tetherin. However, despite these adaptive changes, most N-Vpus still antagonize human tetherin only poorly and fail to down-modulate CD4, the natural killer (NK) cell ligand NTB-A as well as the lipid-antigen presenting protein CD1d. …”
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Implementation of the Borda Method for Selecting Winners in the Tahfeez Tahmeed and Prayer Competition by DPD Recital Alhidayah by Miftah Rizki Marpaung, Edi Kurniawan, Elly Rahayu

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Impact factor selection for non-fatal occupational injuries among manufacturing workers by LASSO regression by Yingheng XIAO, Chunhua LU, Juan QIAN, Ying CHEN, Yishuo GU, Zeyun YANG, Daozheng DING, Liping LI, Xiaojun ZHU

“…The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. …”
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Advanced Noise Reduction for In-Cylinder Combustion Pressure Data Using ICEEMDAN and Optimal Wavelet Selection by Van-Trung Nguyen, Minh-Tien Nguyen

“…This approach offers significant advancements in engine performance optimization, fuel efficiency improvement, combustion diagnostics, and industrial pressure monitoring. …”
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DAF-Net: Dual-Aperture Feature Fusion Network for Aircraft Detection on Complex-Valued SAR Image by Qingbiao Meng, Youming Wu, Yuxi Suo, Tian Miao, Qingyang Ke, Xin Gao, Xian Sun

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EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19 by Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

“…Feature selection is a vital preprocessing step for identifying the most informative features in complex datasets, enhancing the efficiency and accuracy of machine learning models. …”