Importance of the CuAAC Reaction in the Synthesis of Platinum Complexes with 1,4-Disubstituted-1<i>H</i>-1,2,3-triazoles: A Review of Their Anticancer Activity by Delia Hernández-Romero, Sharon Rosete-Luna, Enrique Méndez-Bolaina, Elena de la C. Herrera-Cogco, Luis P. Amador-Gómez, Anell Soto-Contreras, José M. Rivera-Villanueva, Raúl Colorado-Peralta

“…This reaction allows the easy, efficient, functional, ordered, rapid, selective, and specific joining of small molecules, giving rise to more complex molecules. …”
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Increasing the wear resistance of plunger pairs of high-pressure fuel pumps using extreme pressure additives by D.D. Marchenko, K.S. Matvyeyeva, V.M. Kurepin

“…At the same time, the development and use of this type of additives in energy facilities of the agro-industrial complex is very difficult due to their relative high cost, and the lack of a complete scientific study of the problem does not contribute to the widespread use of extreme pressure additives in agricultural tractor engines. …”
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Role of Visual Saliency in Video Quality Assessments by Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad

“…This highlights the effectiveness of visual saliency and feature selection in improving the reliability and efficiency of VQA models, making them more aligned with human perception.…”
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Research Progress on Anti-floating Design of Underground Structures by WANG Sheng-li, DONG Shu-qing, HUANG Yu, SONG Zhi-han, WU Tong, ZHENG Shan-suo

“…Considering seepage effects, nine water buoyancy calculation models for different aquiclude structures were established based on Darcy’s law and seepage equilibrium equations, providing theoretical support for buoyancy calculations under complex geological conditions. (2) Researchers worldwide have derived buoyancy reduction coefficients for specific conditions through theoretical analysis, numerical simulation, and model box testing. …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…This underscores the need for an adaptive compression method that integrates into the training process, dynamically adjusting model complexity based on data and task requirements. To address this, we propose an efficient training method for CNN compression via dynamic parameter rank pruning. …”
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The evolutionary game equilibrium theory on power market bidding involving renewable energy companies by Lefeng Cheng, Pan Peng, Wentian Lu, Jian Sun, Fan Wu, Mingming Shi, Xiaodong Yuan, Yang Chen

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STRUCTURAL GLOBAL SENSITIVITY METHOD BASED ON PARTIAL DERIVATIVE WHOLE DOMAIN INTEGRAL by TU LongWei, LIU Jie, LIU GuangZhao, ZHANG Zheng

“…Numerical example 2 illustrates the validity of the proposed method for complex high-dimensional model. Engineering example demonstrates the applicability and effectiveness of the present method for complex engineering structure problems.…”
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DDoSNet: Detection and prediction of DDoS attacks from realistic multidimensional dataset in IoT network environment by Goda Srinivasa Rao, P. Santosh Kumar Patra, V.A. Narayana, Avala Raji Reddy, G.N.V. Vibhav Reddy, D. Eshwar

“…Detecting and predicting such attacks in this complex and dynamic environment requires specialized techniques. …”
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Drilling Condition Identification Method for Imbalanced Datasets by Yibing Yu, Huilin Yang, Fengjia Peng, Xi Wang

“…The BiLSTM component captures global contextual information, while the GRU efficiently learns features from complex sequential data. …”
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Synthetic Data Generation and Evaluation Techniques for Classifiers in Data Starved Medical Applications by Wan D. Bae, Shayma Alkobaisi, Matthew Horak, Siddheshwari Bankar, Sartaj Bhuvaji, Sungroul Kim, Choon-Sik Park

“…With their ability to find solutions among complex relationships of variables, machine learning (ML) techniques are becoming more applicable to various fields, including health risk prediction. …”
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K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm by Ali Al-Hafiz, Adnan Jabir, Shamala Subramaniam

“… Phishing detection is considered a critical problem in cybersecurity, and utilising machine learning with an efficient feature selection method for precisely identifying malicious websites is deemed the most critical challenge. …”
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Inappropriate medication prescribing, polypharmacy, potential drug-drug interactions and medication regimen complexity in older adults attending three referral hospitals in Asmara,... by Nuru Abdu, Saleh Idrisnur, Hanae Said, Lude Kifle, Natnael Habte, Semira Ghirmai, Tomas Tewelde, Senai Mihreteab Siele, Eyasu H. Tesfamariam

“…This study aimed to assess inappropriate prescribing practices, polypharmacy, medication regimen complexity, and their determinants in older adults. …”
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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…The model complexity arising from hyperparameter configurations was appraised based on the Bayesian information criterion and the Akaike information criterion. …”
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PDCNet: A Polarimetric Data-Enhanced Contrastive Learning Network for PolSAR Land Cover Classification by Bo Ren, Chaoyue Hua, Biao Hou, Jian Lv, Chen Yang, Licheng Jiao, Jocelyn Chanussot

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The Issue of Hydrodynamic Friction in the Context of the Operational Properties of Ring-Shaped Torsional Vibration Dampers by Aleksander Mazurkow, Andrzej Chmielowiec, Wojciech Homik

“…Improving the reliability and durability of internal combustion engines in marine vessels is a complex issue. The vibrations generated in these engines significantly affect their proper operation. …”
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Preparation of Magnetic Molecularly Imprinted Polymers Based on Group Sensing Quenching and Their Adsorption Characteristics on Signaling Molecules by Junqiang SUN, Haiyang YANG, Yao QU, Huarong YU, Fangshu QU, Yuxuan WAN

“…This selectivity is a key advantage of molecularly imprinted polymers, enabling the targeted removal of specific compounds from complex mixtures. …”
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Transforming Healthcare: A Review of Additive Manufacturing Applications in the Healthcare Sector by Alok Bihari Singh

“…The findings underscore AM’s transformative potential in advancing medical care and its significant impact on patient outcomes and surgical efficiency.…”
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Simple Single-Person Fall Detection Model Using 3D Pose Estimation Mechanisms by Jinmo Yang, R. Young Chul Kim

“…Our results show that SFDM outperforms selected other models in per-frame floating-point operations, achieving the lowest model complexity. …”
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Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-... by Daoqi Han, Honghui Li, Xueliang Fu

“…Therefore, feature selection (FS) is particularly important in IDSs. By selecting the most representative features, it can not only improve the detection accuracy but also significantly reduce the computational complexity and attack detection time. …”
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Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making by Qaiyyum Hafizi Hasnan, Zahari Rodzi, Nor Hanimah Kamis, Faisal Al-Sharqi, Ashraf Al-Quran, Mamika Ujianita Romdhini

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