Design and Synthesis of Multilevel Structured Co3O4 Double-shell Dodecahedron as Non-enzymatic Electrochemical Sensor for H2O2 Detection by Zhixuan ZHANG, Zhiqi LIANG, Meishi HUANG, Dong SHEN, Zufei HU, Yang YANG, Zhouling WU

“…The double-shell dodecahedron multilevel structure of Co3O4 (DS Co3O4) has the most favorable morphology and largest specific surface area, and is demonstrated to be an effective electrochemical non-enzymatic H2O2 sensor. The efficiency arises from the unique multilevel structure of DS Co3O4, providing abundant active sites for H2O2 oxidation. …”
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A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…These findings highlight the robustness and efficiency of ensemble learning algorithms, especially in handling complex, non-linear data structures. …”
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A Fast Simulation Method for Wind Turbine Blade Icing Integrating Physical Simulation and Statistical Analysis by Wei Jiang, Renqiang Wen, Ming Qin, Guohan Zhao, Long Ma, Jun Guo, Jinbo Wu

“…It can greatly improve the computational efficiency of icing simulations while retaining the accuracy of numerical simulations. …”
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Rich Oxygen Vacancies Induced by Surface Self-Reconstruction in Sandwich-like Hierarchical Structured Electrocatalyst for Boosting Oxygen Evolution Reaction by Xiaoguang San, Wanmeng Wu, Xueying Li, Lei Zhang, Jian Qi, Dan Meng

“…The oxygen evolution reaction (OER) is pivotal in hydrogen production via water electrolysis, yet its sluggish kinetics, stemming from the four-electron transfer process, remain a major obstacle, with overpotential reduction being critical for enhancing efficiency. This work addresses this challenge by developing a novel approach to stabilize and activate non-precious metal catalysts for OER. …”
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TBM shield mud cake prediction model based on machine learning by Qi Zhang, Peng Xu, Jing Zhang, Zhao Yang, Yu Li, Xintong Kong, Xiao Yuan

“…IntroductionDuring tunnel boring machine (TBM) shield tunneling in clayey strata, the excavated soil consolidates on the cutter head or cutting tools, forming mud cakes that significantly impact the efficiency of shield tunneling.MethodsTo predict mud cakes during shield tunneling, four distinct supervised machine learning models, including logistic regression, support vector machine, random forest, and BP neural network were employed. …”
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Online simultaneous determination of lactoferrin and immunoglobulin G in dairy products by two-dimensional liquid chromatography by CHEN Qin, ZHOU Langjun, CHEN Zijing, LIU Mengni, LIN Senyu

“…The quantitation limits of Immunoglobulin G in solid samples was 34 mg/kg while in liquid samples was 7 mg/kg, the recovery rate were 91.2%~104.0% and the RSD were 2.1%~4.7%.ConclusionThe online two-dimensional liquid chromatography system established in the experiment has the advantages of simple pretreatment, high automation, high analysis efficiency, high accuracy and good repeatability, and is suitable for the determination of lactoferrin and immunoglobulin G in dairy products.…”
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‘I’m not burning out, I’m rusting out’: investigating the causes of rustout in teacher educators in Ireland and the United Kingdom by Sabrina Fitzsimons, David S. Smith

“…However, its presence acknowledges that occupational stress is non-linear and nuanced and that it can vary depending on organisational and personal resources. …”
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Assessment of greenness, blueness, and whiteness profiles of a validated HPLC-DAD method for quantitation of Donepezil HCl and Curcumin in their laboratory prepared co-formulated n... by Mennah M. Abd Elwahab, Samar Saad, Zeinab A. Sheribah, Nahed El-Enany

“…Abstract White and Green Analytical Chemistry are innovative approaches in analytical chemistry that prioritize both sustainability and efficiency. Together, these approaches aim to advance scientific research while minimizing environmental impact and enhancing safety. …”
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ExAutoGP: Enhancing Genomic Prediction Stability and Interpretability with Automated Machine Learning and SHAP by Yao Rao, Lilian Zhang, Lutao Gao, Shuran Wang, Linnan Yang

“…All models were trained and evaluated using five repeated five-fold cross-validation, and their performance was assessed based on both predictive accuracy and computational efficiency. The results show that ExAutoGP exhibits robust and excellent prediction performance on all datasets. …”
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Role of career factors on marital satisfaction of nurses by Saeedeh Askarian Omran, Farzaneh Sheikholeslami, Rasoul Tabari, Ehsan Kazemnejhad leili, Ezzat Paryad

“…Understanding the factors related to their employment such as shift work can improve validity and efficiency of this force which is important in human. …”
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Circular economy meets water treatment: one-pot synthesis of agricultural waste-based bi-functionalized ordered mesoporous silica for tetracycline removal via systematic adsorption... by Wenli Gou, Sameer Alshehri, Niloofar Pirestani, Soroosh Soltani, Ahmadreza Roghanizad, Saeed Shirazian, Roozbeh Soltani

“…This study offers both mechanistic insight and practical relevance, bridging green chemistry with high-efficiency pollutant removal.…”
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Transformation and transcendence – reforming news production in the convergent media era by Zhi Li, Yinchang Chen

“…This article revealed the underlying mechanisms and future trends of this change, which can improve the efficiency and quality of news production and enhance its competitiveness in a diversified media environment. …”
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Leveraging Feature Sets and Machine Learning for Enhanced Energy Load Prediction: A Comparative Analysis by Fernando Pedro Silva Almeida, Mauro Castelli, Nadine Côrte-Real

“…Accurate cooling consumption forecasts are crucial for optimizing energy management, storage, and overall efficiency in interconnected HVAC systems. Weather conditions, building characteristics, and operational parameters significantly impact prediction accuracy. …”
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Droplet-Scale Combustion Analysis of Third-Generation Biodiesel–Diesel Blends by A. S. M. Sazzad Parveg, Albert Ratner

“…The global combustion rate follows a non-linear trend, peaking at B10, decreasing at B25, and rising again at B50 and B75. …”
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Intelligent predictive networks for MHD nanofluid with carbon nanotubes and thermal conductivity along a porous medium by Hafiz Muhammad Shahbaz, Iftikhar Ahmad

“…Recurrent neural networks have been able to capture the interest of the academia as they are able to compute very complex models which are non linear in nature. It is in this light that recurrent neural networks are well suitable for use in complex areas including fluid dynamics, biological computing, and biotechnology since they are capable of learning patterns. …”
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Quasi-zero rigidity condition for static force characteristic of parallelogram mechanism for seat vibration protection system by M. S. Korytov, I. E. Kashapova, V. S. Shcherbakov

“…Reducing vibration effects on machine operators is an urgent task; it allows to minimize the impact of vibrations on health, increase efficiency and attention. Accuracy and productivity can be improved. …”
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Innovative Research and Practice on Electroslag Process Technology for High Quality Forged Steel for Cold Rolling Roller Application by Huo Zhenquan

“…High quality forged steel for cold rolling roller plays a crucial role in improving the quality of cold-rolled sheets and enhancing production efficiency. Improving the innovation of electric slag process technology for cold rolling roller is of great significance for enhancing the metallurgical quality of high-quality forged steel for cold rolling roller. …”
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Unified Protocol for Emotional Disorders in University Students: Protocol for a Randomized Trial of Online and Blended Formats by J. Socias‐Soler, C. Francisco, L. Martínez‐García, O. Peris‐Baquero, J. Osma

“…Conclusions This study aims to demonstrate the utility and efficiency of UP in treating EDs in university settings. …”
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Investigating the stability of the yield strength of the friction stir welding joint of similar amorphous thermoplastic based on the Ordered Weighted Averaging operators by N. Sadeghian, A.R. Chaji

“…Conical tools lead to the most stable joint with a 10% variation on the weld line (for run #20) and the most strengthened one with an 18% variation on the weld line (for run #30) with 80% and 100% efficiency compared to the base material, respectively.…”
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Mass transpiration impact on effectiveness of heat transport of ternary hybrid nanofluid with velocity slip by S. Bilal, Muhammad Yasir

“…Furthermore, to raise the efficiency and to optimize the performance of the aforementioned mechanisms insertion of the composition of distinctively natured ternary nanoparticles comprising of Cu, TiO2 and Ag are induced. …”
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