Influence of Mechanical Activation on the Evolution of TiSiCN Powders for Reactive Plasma Spraying by Lazat Baimoldanova, Bauyrzhan Rakhadilov, Aidar Kengesbekov, Rashid Kuanyshbai

“…Cross-sectional micrographs further revealed that the TiCN + Si coating has a greater average thickness (39.87 μm) and more uniform distribution compared to Ti + SiC (35.48 μm), indicating better application control and a more homogeneous material structure. Mechanical activation significantly influences the properties of powders, allowing for the determination of optimal parameters for RPS, which is a highly efficient method for creating coatings with unique performance characteristics.…”
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Construction of advanced persistent threat attack detection model based on provenance graph and attention mechanism by Yuancheng LI, Hao LUO, Xinyu WANG, Jiexuan YUAN

“…In response to the difficulty of existing attack detection methods in dealing with advanced persistent threat (APT) with longer durations, complex and covert attack methods, a model for APT attack detection based on attention mechanisms and provenance graphs was proposed.Firstly, provenance graphs that described system behavior based on system audit logs were constructed.Then, an optimization algorithm was designed to reduce the scale of provenance graphs without sacrificing key semantics.Afterward, a deep neural network (DNN) was utilized to convert the original attack sequence into a semantically enhanced feature vector sequence.Finally, an APT attack detection model named DAGCN was designed.An attention mechanism was applied to the traceback graph sequence.By allocating different weights to different positions in the input sequence and performing weight calculations, sequence feature information of sustained attacks could be extracted over a longer period of time, which effectively identified malicious nodes and reconstructs the attack process.The proposed model outperforms existing models in terms of recognition accuracy and other metrics.Experimental results on public APT attack datasets show that, compared with existing APT attack detection models, the accuracy of the proposed model in APT attack detection reaches 93.18%.…”
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Investigation of hydrogen embrittlement in steel alloys: mechanism, factors, advanced methods and materials, applications, challenges, and future directions: A review by Umme Javeria, Sung Jin Kim

“…Researchers have explored various mitigation methods, including the application of metallic or ceramic coatings, microstructural optimization, and alloying approaches. This review provides a comprehensive overview of i) the mechanisms of HE in both surface and bulk regions of steel, ii) the factors influencing the severity of HE, iii) advanced analytical approaches–such as thermal desorption spectroscopy (TDS), density functional theory (DFT), machine learning (ML) atom probe tomography (APT), and others–for elucidating HE mechanisms, iv) effective methods to prevent or minimize HE, and v) practical applications in automotive, oil and gas, and marine structures. …”
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Role of artificial intelligence in enhancing mechanical ventilation – A peek into the future by Neeraj Pal Singh, Masood Ali Mujawar, Akash Golani

“…As we advance, a collaborative approach between AI and healthcare professionals will be essential to ensure optimal patient safety.…”
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Modeling and Simulation of Electric Vehicles Charging Services by a Time Colored Petri Net Framework by Agostino Marcello Mangini, Maria Pia Fanti, Bartolomeo Silvestri, Luigi Ranieri, Michele Roccotelli

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Influence of Welding Conditions on Microscopic Structure, Microhardness in conjunction with Corrosion Resistance in solid-state joining process between Dissimilar Al Alloys AA5754... by Atef Hassanein, Ibrahim Hassab-Allah, Hamada Hussein Morsy

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Sensitivity Analysis and Multiobjective Optimization of CO2 Huff-N-Puff Process after Water Flooding in Natural Fractured Tight Oil Reservoirs by Zhang Jie, Cai Ming-Jun, Ge Dangke, Lu Ning, Cheng Hai-Ying, Wang Hai-Feng, Li Rong-Tao

“…What is worse, those influence facts affect each other making the process more complex. Many researchers concentrated on mechanisms and single sensitivity analysis of CO2 huff-n-puff process, whereas few optimized this process with the consideration of all influence factors and multiobjective to get favorable performance. …”
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Anthropogenic activities accelerate LULC conversion and only a sustainable development scenario is optimal for agro-pastoral ecotone development by Jing Jin, Zilong Liao, Tiejun Liu, Mingxin Wang, Jing Zhang, Xinjian Zhang, Yining Fan

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Optimizing economics of machining for LM25Al/VC composite material using analytical modeling, deep neural network and GRA coupled with RSM by Mesay Alemu Tolcha, Hirpa Gelgele Lemu, Yosef Wakjira Adugna

“…Abstract This study investigates the machinability of a novel LM25 aluminum alloy reinforced with vanadium carbide composite material (LM25Al/VC) using computer numerical control (CNC) lathe operation. By optimizing CNC lathe process parameters such as depth of cut, feed rate, and cutting speed, the aim is to maximize material removal rate, minimize surface roughness, reduce power consumption, and optimize costs. …”
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Multi-Objective Optimization of Blockage Design Parameters Affecting the Performance of PEMFC by OEM-AHP-EWM Analysis by Hongbo Ji, Quan Yuan, Xiaoyong Zhu, Nenad Janković, Xiaoping Chen

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Organizational and economic mechanism for developing business processes in the sphere of household services, using the example of the fit service car service chain: an ecosystem ap... by Artem D. Gruzdo

“…An ecosystem approach to process management allows not only to optimize current resources, but also to create conditions for partnership and integration with other market participants. …”
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Molecular-genetic mechanisms of the signal cascade RAS-RAF-MEK-ERK associated with the development of the tumor process and the purpose of targeted drugs for colorectal cancer by A. N. Toropovsky, O. N. Pavlova, D. A. Viktorov, A. G. Nikitin

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Power Demand Side Management Policy Incentive Process Dynamic Evolutionary Game Analysis by Zongyun SONG, Jian ZHANG, Zedong ZHENG, Xinli XIAO, Yuankang HE

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Optimizing Mechanical Properties of Al6063 Aluminum Alloy through Silicon Weight Percent Variation and Heat Treatment at the Propeller Shaft Materials Casting by Joni Joni, Eka Irianto Bhiftime

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Leveraging RRT^*: Probabilistically Interpreted Mechanisms Enhanced With P-HOPE and FLEX-OPT for Complex Path Planning by Yujie Miao, Haiyang Liu, Ziqiang Zhang, Yanju Liang

“…However, these algorithms often fall into obstacle traps in complex environments with narrow passages or high obstacle densities due to the loLcal minima problem in the optimization process. In addition, the existing algorithms also exhibit inefficient sampling and slow convergence in large-scale maps. …”
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Integrating isotopic niche metrics and gut microbiota assembly reveals coexistence mechanisms in subtropical riverine fish by Yaqiu Liu, Xinhui Li, Konstantinos Ar. Kormas, Chunni Kou, Huifeng Li, Yuefei Li, Jie Li

“…Our results showed that host phylogenetic specificity primarily reflected the similarity in deterministic selection processes (host filtering) mediated by host phylogenetic conservatism. …”
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Unveiling processing–property relationships in laser powder bed fusion: The synergy of machine learning and high-throughput experiments by Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, Lorenzo Valdevit, Ramin Bostanabad

“…Finally, an optimization scheme is devised that leverages these GPs to identify the process parameters that maximize combinations of strength and ductility. …”
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Methods of effective media as optimal methods for modeling the physical properties of nanostructures by A. N. Yurasov, M. M. Yashin

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Amorphization evolution study of CrCoFeNiMn high entropy alloy for mechanical performance optimization by deep potential molecular dynamics by Wentao Zhou, Jia Song, Lve Lin, Huilong Yang, Shaoqiang Guo, Guang Ran, Yafei Wang

“…Such a discovery sheds new lights on the material development and its mechanical performance optimization for industrial applications.…”
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Enhancing Aluminum Alloy Properties Through Low Pressure Forging: A Comprehensive Study on Heat Treatments by Silvia Cecchel, Giovanna Cornacchia

“…This study investigates the effectiveness of the LPF process in optimizing the mechanical properties of AlSi7Mg aluminum alloy by evaluating the influence of three different magnesium content levels. …”
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