Investigating dye adsorption: The role of surface-modified montmorillonite nanoclay in kinetics, isotherms, and thermodynamics by Alruwais Raja Saad

“…The physical properties of MM-MDH nanoclay were characterized utilizing scanning electron microscopy, transmission electron microscopy, X-ray diffraction, Fourier transform infrared spectroscopy, and surface area analysis. Optimal conditions for dye removal, including solution pH, nanoclay dosage, contact time, solution temperature, and ionic strength, were systematically investigated. …”
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Directions of development and application of plasma nitriding in industry by Željko Stojanović, Sanja Stanisavljev, Spasoje Erić

“…This paper presents a discussion of the results of previous research of the effects of surface modification of structural materials and tool steels using plasma nitriding (PN) in order to improve their mechanical, tribological and corrosion behavior. …”
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Transforming nano grids to smart grid 3.0: AI, digital twins, blockchain, and the metaverse revolutionizing the energy ecosystem by Herman Zahid, Adil Zulfiqar, Muhammad Adnan, Muhammad Sajid Iqbal, Anwar Shah, Usman Abbasi, Salah Eldeen Gasim Mohamed

“…By integrating these technologies across hierarchical energy systems, this study establishes a foundation for future research in transforming conventional smart grid infrastructure into a resilient, efficient, and interconnected cyber-physical energy network called Smart Grid 3.0 as the peak of this evolution so far.…”
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Identification and classification of solid–liquid flow patterns in deviated and horizontal annuli by Di Yao, Xiaofeng Sun, Jingyu Qu

“…The experimental data were then used to construct flow pattern maps with solid/liquid phases as axes, after which the transition boundaries between different flow patterns were established.The morphological characteristics and transition mechanisms of SB, SW, SD, and BL flows were systematically analyzed to develop three predictive models of the fluid dynamics principles governing these flow patterns’ transitions: (1) A transition boundary model of SB and SW flows was established using Kelvin–Helmholtz stability, for which a stability analysis of solid–liquid two-phase flow in deviated and horizontal annuli was carried out. (2) A transition boundary model of SW and SD flows was constructed through an analysis of the geometric features of sand waves in the annuli, with the critical ratio of the average height of a cuttings bed to its height after erosion being 0.45. (3) A traditional critical velocity model was refined by adjusting the von Karman constant to account for the effect of solid volume concentration, yielding a boundary model for the transition of SW or SD flow into BL flow. …”
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Engineering strategies to enhance the research progress of mesenchymal stem cells in wound healing by Dawei Wang, Ao Chen, Yuan Fang, Chuanxue Ma, Yafei Lu, Chungen Zhou, Qizhi Liu, Bin Jiang

“…Abstract Wound healing is a multifaceted biological process involving critical phases such as inflammation modulation, tissue regeneration, and angiogenesis. …”
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Trajectory tracking and obstacle avoidance in dynamic environments using an improved artificial potential field method. by Long Di, Naiwei Huang, Jiaqi He, Xuxiang Wu, Hansheng Huang, Yongbin Su, Tundong Liu

“…Furthermore, a probabilistic obstacle motion prediction framework is established through motion pattern analysis to actively optimize the robot's motion strategy and reduce tracking errors. …”
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Designing microcompression experiments for nanoporous metals via computational plasticity by Tim Fischer, Norbert Huber

“…To support experimental design, we present a computational plasticity study on single crystal NPG micropillars, systematically examining four extrinsic factors: pillar height-to-diameter ratio (1.5≤h/d≤2.5), taper angle (0≤θ≤4∘), friction coefficient (0.0≤μ≤0.2), and misalignment angle (0≤α≤2∘). …”
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Effect of Al-5Ti-2B on the Microstructure and Mechanical Properties of Recycled Al-7Si-0.3Mg-1Fe Alloy by Weihe Shi, Lin Chen, Bing He, Biwang Lu, Jianbing Yang

“…Increasing the Al-5Ti-2B addition refined both the α-Al dendrites and eutectic Si, while the β-Al₅FeSi phase transitioned from coarse to fine needles. The optimal refinement was achieved at a 1% Al-5Ti-2B addition, yielding a tensile strength of 149.4 MPa and elongation of 4.3%. …”
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Environmental adaptation and reproductive mechanisms of Codium fragile subsp. fragile in the Bohai Bay by Jingjing Zi, Zhiying Wang, Lanping Ding

“…Bohai Bay, a typical semi-enclosed bay with limited water exchange capacity, has seen increasing demand for large-scale seaweed cultivation as a sustainable resource. …”
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Research on fine-grained classification of rare metal granite lithology based on deep learning by ZHAO Hengqian, WANG Pan, LIU Zhiguo, MIAO Qunfeng, LI Zhibin, TANG Guanglong, QI Yunfei, XIE Yu, WANG Mengmeng

“…The results show that the classification accuracy of all models exceeds 82 %, and the VGG16 model is the best, which is 88.57 %, an increase of 5.71 % over the AlexNet model; the amazonite-bearing alkali feldspar granite has a recognition accuracy of 100 % due to its significant characteristic minerals, while the grayish-white alkali-feldspar granite has the worst recognition effect; the model accuracy is positively correlated with the amount of training samples, and the model performance is optimal when the training set is complete. …”
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Solvent extraction separation of iron from hydrochloric acid leaching solution of ferronickel using tributyl phosphate by M.N. Pratama, Z.T. Ichlas, M.Z. Mubarok

“…Optimal Fe(III) extraction (93.89 % in a single stage) was achieved using 100 % TBP without diluent at a Cl⁻ concentration of 9.00 M and an O/A ratio of 2. …”
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Trade-Space Exploration With Data Preprocessing and Machine Learning for Satellite Anomalies Reliability Classification by Abdul Mutholib, Nadirah Abdul Rahim, Teddy Surya Gunawan, Mira Kartiwi

“…This study introduces the Trade-Space Exploration Machine Learning (TSE-ML) framework, a comprehensive pipeline for satellite anomaly classification that optimizes preprocessing, transformation, normalization, and machine learning stages. …”
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Impact of PM_2.5 Pollution on Solar Photovoltaic Power Generation in Hebei Province, China by Ankun Hu, Zexia Duan, Yichi Zhang, Zifan Huang, Tianbo Ji, Xuanhua Yin

“…The inclusion of PM_2.5 as a predictor variable systematically enhanced model performance across all algorithms. …”
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From basic to clinical translation: advances and perspectives of photodynamic nanodrugs by Shitang Ma, Shasha Shi, Xin Hu, Ye Zhao, Boran Yang, Maoliang Liao, Baowei Lu, Qilin Xu

“…In this regard, PDNS has emerged as a pivotal component within the realm of personalized medicine. …”
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Performance Improvement of Vertical Channel Indium–Gallium–Zinc Oxide Thin-Film Transistors Using Porous MXene Electrode by Wanqiang Fu, Qizhen Chen, Peng Gao, Linqin Jiang, Yu Qiu, Dong-Sing Wuu, Ray-Hua Horng, Shui-Yang Lien

“…As the MXene concentration increases, both the sheet resistance and porosity of the electrodes decrease. VC-IGZO-TFTs based on a 3.0 mg/mL MXene concentration exhibit optimal electrical performance, with a threshold voltage (V_th) of 0.16 V, a subthreshold swing (<i>SS</i>) of 0.20 V/decade, and an on/off current ratio (I_on/I_off) of 4.90 × 10⁵. …”
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The characteristics and polarization effects in AlInGaN barrier GaN MISHEMT with various compositions of group III elements by Catherine Langpoklakpam, Chang-Ching Tu, Edward Yi Chang, Chun-Hsiung Lin, Hao Chung Kuo

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DeepST-Net: Leveraging Spatiotemporal Data Refinement for Enhanced Travel Time Prediction by Amira Benlecheb, Ahmed-Chawki Chaouche, Brahim Benabderrahmane, Gregorio Díaz

“…Using a dataset from the New York City Taxi and Limousine Commission (TLC), an ablation study is conducted to systematically assess the impact of various preprocessing strategies on model performance. …”
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Prevention and management of immune-related adverse events for biliary tract cancers by LIU Kun, GUO Wei

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Influence of metakaolin content on the microstructure and strength in hardened LC3 paste by Qi Luo, Xinyu Zhang, Junchao Yu, Guoqing Geng

“…The findings reveal that increasing metakaolin content intensifies the aluminum sulfate reaction peak and accelerates its onset, while decreasing metakaolin leads to higher total calcium hydroxide (Ca(OH)₂) and calcium carbonate (CaCO₃) levels in the system. A specific threshold of 70 % metakaolin content is identified as optimal for pozzolanic activity; excess metakaolin remains unreacted. …”
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Finite Element Simulation and Process Analysis for Hot-Forming WE43 Magnesium Alloy Fasteners: Comparison of Crystal Plasticity with Traditional Method by Anqi Jiang, Yuanming Huo, Zixin Zhou, Zhenrong Yan, Yue Sun

“…Additionally, temperature effects (25–650 °C) on mechanical performance were systematically evaluated. The results demonstrate that temperatures between 350 °C and 450 °C optimize formability, balancing thermal softening and strain hardening. …”
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