Multicomponent Adsorption of Paracetamol and Metronidazole by Batch and Fixed-Bed Column Processes: Application of Monte Carlo Bayesian Modeling by Letícia Reggiane de Carvalho Costa, Júlia Toffoli de Oliveira, Fayola Silva Silveira, Liliana Amaral Féris

“…These findings highlight the complexity of multicomponent adsorption and provide insights, contributing to the development of more efficient and sustainable water treatment technologies for pharmaceutical residues.…”
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Genetic algorithm solving the scheduling problem of large-scale power grid material quality inspection bases under multiple constraints by Li Lin, Chen Yongqiang

“…The proposed method effectively solves the scheduling problem of the testing base and greatly improves its operational efficiency by using the current quality testing example of dry-type transformers in the base for verification.…”
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PyMem: A Graphical User Interface Tool for Neuromemristive Hardware–Software Co-Design by Aswani Radhakrishnan, Jushnah Palliyalil, Sreeja Babu, Anuar Dorzhigulov, Alex James

“…However, to build complex neural systems, it is a tedious process to select the right memristor models and architectures that are suitable to be used in a range of realistic conditions. …”
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Evaluating AI-generated responses from different chatbots to soil science-related questions by Javad Khanifar

“…Nevertheless, these chatbots had significantly higher answering accuracy than Gemini 1.5 Pro and cost-efficient LLMs, namely Gemini 1.5 Flash and GPT-4o mini (p < 0.05). …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…Furthermore, the model introduces three key innovations: Dynamic Multi-Scale Convolutional Learning for adaptive kernel selection, Unified Spatio-Temporal Attention (USTA) for efficient feature recalibration, and AFB for multi-scale feature fusion while preserving long-range dependencies. …”
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Design of nonlinear gradient sheet-based TPMS-lattice using artificial neural networks by Zhou Li, Junhao Li, Jiahao Tian, Shiqi Xia, Kai Li, Guanqiao Su, Yao Lu, Mengyuan Ren, Zhengyi Jiang

“…A new design methodology for the nonlinear gradient structure was proposed in this study, with the aim of achieving efficient and accurate modeling of complex and gradient sheet-based TPMS structures under specific performance objectives. …”
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Presenting a model for the establishment and maintenance of expert human resources in the government organizations of Sistan and Baluchestan province by Majid Reza Dahmardeh, Vahid pourshahabi, Amin Reza Kamalian, Habibollah Salaerzehi

“…The results show that in this research, the dimensions of maintaining expert human resources include: behavioral, structural, contextual, and normative/attitudinal factors; and 31 components, based on the output of structural equation analysis and path analysis technique, the path coefficient of behavioral factors is 0.901, structural factors 0.886, contextual 0.821, and normative/attitudinal 0.840, in which the behavioral factors have the greatest impact and the job satisfaction component with a significant number obtained from the T-test equals 24.004 and the path coefficient 0.901 has played the greatest role in maintaining expert human resources in the government organizations of Sistan and Baluchistan provinceExtended abstractIntroductionHuman capital is considered the most complex and valuable capital in any organization, which plays the main role in realizing the organization's goals. …”
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A Graph-Based Ant Colony Optimization Approach for Process Planning by JinFeng Wang, XiaoLiang Fan, Shuting Wan

“…The complex process planning problem is modeled as a combinatorial optimization problem with constraints in this paper. …”
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Hydrogen Enhancement in Syngas Through Biomass Steam Gasification: Assessment with Machine Learning Models by Yunye Shi, Diego Mauricio Yepes Maya, Electo Silva Lora, Albert Ratner

“…These algorithms outperform traditional models by accurately handling complex, high-dimensional data more efficiently and cost-effectively. …”
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Effects of nanofiller morphology and aspect ratio on the rheo-mechanical properties of polyimide nanocomposites

“…The efficiency of homogeneous dispersion of the nanoparticles in the polyimide matrix was studied by measuring the rheology of model oligoimides (OI) dispersions containing the desired amounts of the nanoparticles. …”
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Synthesis and Kinematic Analysis for Bi-objective Path of Six-bar Linkage by Guangzhen Cui, Yanqiu Xiao, Caidong Wang, Zhiqiang Guo

“…Then，the regeneration homotopy algorithm is used to reach the fast solution of the synthesis equations，this algorithm is easy and does not involve the complex elimination process and the problem of selecting the initial value. …”
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Ruthenium-based MOF catalysts for methanation of CO2 derivatives by Itziar Arnaiz, Carlos Márquez-Álvarez, Marcos Zubimendi, M. Asunción Molina, Andrew M. Beale, Manuel Sánchez-Sánchez, Joaquín Pérez-Pariente

“…Ru-BTC was particularly efficient: 67 % conversion and 96 % selectivity to CH4 at 150 ºC and 30 bars of H2 using a Ru/dimethylurea weight ratio of 1 %. …”
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ATN-Hybrid: a hybrid attention network with deterministic-probabilistic mechanism for hyperspectral image classification by Jianshang Liao, Liguo Wang

“…The network employs a dual-branch structure: the deterministic branch generates stable feature weights through explicit channel mapping and normalization, while the probabilistic branch implements temperature-guided adaptive feature selection through a soft attention mechanism. Additionally, we design an adaptive feature fusion strategy with learnable fusion coefficients for dynamic feature optimization. …”
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Progress in Stereoselective Haloamination of Olefins by Guo Zhong, Jiayu Zhou, Bin Cui, Hui Sun

“…It examines the innovations in catalyst design that have facilitated more efficient and selective transformations. The review also analyzes the optimization of reaction conditions, which has been crucial in improving the overall performance and applicability of these reactions. …”
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Advances in value-added depolymerization by catalytic fast pyrolysis of lignin by SHEN Weiwei, CAO Bin, HE Sirong, JIANG Ding, MU Mao, WANG Shuang*

“…However, there are challenges such as low product selectivity and poor product stability in the direct pyrolysis process, which limit the efficient conversion and economic viability of lignin-based conversion. …”
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The Deep Structure of the Kimberlite Pipe Volchya in the Arkhangelsk Diamond Province and Controlling Faults Based on Passive Seismic and Radiological Methods (Northwest Russia) by Konstantin Danilov, Evgeny Yakovlev, Andrey Puchkov, Vladimir Bykov, Alexander Katorin

“…Further identification of control structures by the proposed set of methods can increase the efficiency of diamond prospecting.…”
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Convolution Self-Guided Transformer for Diagnosis and Recognition of Crop Disease in Different Environments by Huinian Li, Nannan Li, Wenmin Wang, Chengcheng Yang, Ningxia Chen, Fuqin Deng

“…The proposed Convolution Self-Guided Transformer (CSGT) model integrates CNN&#x2019;s local feature extraction with the Self-Guided Transformer&#x2019;s(SGT) global information processing, enhancing the precision and efficiency of agricultural diagnostics. We selected two datasets with characteristics from Jiangsu and Guangdong provinces to validate our model, respectively representing controlled and uncontrolled agricultural environments. …”
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The Function of TiO2 with Respect to Sensitizer Stability in Nanocrystalline Dye Solar Cells by A. Barkschat, T. Moehl, B. Macht, H. Tributsch

“…Sensitization was less efficient and sensitizers were less photostable with nanostructured ZnO compared to nanostructured TiO2. …”
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A Review on New Frontiers in Drug-Drug Interaction Predictions and Safety Evaluations with In Vitro Cellular Models by Lara Marques, Nuno Vale

“…While indispensable, these approaches have inherent limitations in scalability, cost, and ability to predict complex interactions. Recent advancements in analytical technologies, particularly the development of more sophisticated cellular models and computational modeling, have paved the way for more accurate and efficient DDI assessments. …”
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Evaluating a Hybrid LLM Q-Learning/DQN Framework for Adaptive Obstacle Avoidance in Embedded Robotics by Rihem Farkh, Ghislain Oudinet, Thibaut Deleruyelle

“…The LLM addresses traditional Q-learning limitations, such as slow convergence and poor adaptability, by analyzing action histories and optimizing decision-making policies in complex, dynamic environments. A selective triggering mechanism ensures efficient LLM intervention, minimizing computational overhead. …”
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