Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

“…Addressing this gap, the present study employs five traditional machine learning (ML) algorithms, K-nearest neighbors (KNN), regression trees, random forest, support vector machines (SVMs), and gaussian process regression (GPR), to forecast moisture levels within pavement layers over time, with varying algorithm complexities. …”
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Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features by Guoju Liu, Zhihui Deng, Yonghong Xu, Lianfeng Lai, Guoqing Gong, Liang Tong, Hongguang Zhang, Yiyang Li, Minghui Gong, Mengxiang Yan, Zheng Ye

“…This paper proposes a novel SOH predication method by combing the four-vector intelligent metaheuristic (FVIM) with the CNN-LSTM-Attention basic model. …”
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Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDS by Ling Gao, Tingting Liu, Xiaoyan Li

“…Subsequently, three machine learning algorithms—least absolute shrinkage and selection operator (LASSO), random forest (RF), and support vector machine (SVM)—were used to further screen for hub ERS hub genes. …”
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A Novel Tool Wear Identification Method Based on a Semi-Supervised LSTM by Xin He, Meipeng Zhong, Chengcheng He, Jinhao Wu, Haiyang Yang, Zhigao Zhao, Wei Yang, Cong Jing, Yanlin Li, Chen Gao

“…These pseudo-labeled samples are combined with the original labeled samples to retrain the MR–LSTM model iteratively to improve its performance. This process continues until a termination condition is met. …”
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Optimization of methanol‐induced expression and His‐tag purification of Saccharomycopsis fibuligera R64 mutant α‐amylase in Pichia pastoris by Clara Claudia, Elsa Destiana, Rista Awalia, Mia Tria Novianti, Taufik Ramdani Tohari, Dewi Astriany, Shinta Kusumawardani, Muhammad Yusuf, Umi Baroroh

“…The gene encoding the mutant enzyme was cloned into the pPICZαA vector and transformed into P. pastoris SMD1168. Optimal expression was achieved at 1.5% methanol concentration, with the highest enzyme activity observed at 48 h, reaching 24.06 U/mL. …”
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Construction of novel pJRD215-derived plasmids using chloramphenicol acetyltransferase (cat) gene as a selection marker for Acidithiobacillus caldus. by Rui Wang, Chunmao Lin, Jianqiang Lin, Xin Pang, Xiangmei Liu, Chengjia Zhang, Jianqun Lin, Linxu Chen

“…The utilization of these vectors will undoubtedly facilitate efficient genetic manipulations and accelerate the research progress in A. caldus.…”
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Analysis of the influence of the daily regulation of power stations on navigable flow conditions at river confluences using the LSTM model by Hongcheng Xue, Shihao Cui, Qian Ma, Zhongyong Li, Pengyu Zhou, Yuanyuan Li, Lingyun Xie

“…The simulated results for water levels and velocity vector fields are in good agreement with experimental data. …”
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Maize and soybean yield prediction using machine learning methods: a systematic literature review by Ramandeep Kumar Sharma, Jasleen Kaur, Gary Feng, Yanbo Huang, Chandan Kumar, Yi Wang, Sandhir Sharma, Johnie Jenkins, Jagmandeep Dhillon

“…The Random Forest (RF), Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), and Extreme Gradient Boosting (XG-Boost) were identified as the mostly used ML algorithms. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…We employed four machine learning models—Support Vector Regression (SVR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Geographical Gaussian Process Regression (GGPR) for modeling, prediction, and accuracy comparison, with the objective of achieving high-precision salinity mapping under complex vegetation cover conditions. …”
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Integrating artificial Intelligence-Based metaheuristic optimization with Machine learning to enhance Nanomaterial-Containing latent heat thermal energy storage systems by Ali Basem, Hanaa Kadhim Abdulaali, As’ad Alizadeh, Pradeep Kumar Singh, Komal Parashar, Ali E. Anqi, Husam Rajab, Pancham Cajla, H. Maleki

“…The proposed strategy combines machine learning algorithms, including multilayer perceptron neural network (MLPNN), generalized additive model (GAM), Gaussian kernel regression (GKR), support vector machine (SVM), and Gaussian process regression (GPR) with artificial intelligence-based metaheuristic optimization algorithms (PSO and GA) to optimize their structural/training parameters. …”
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PERSPECTIVE DIRECTIONS OF PATRIOTIC EDUCATION by I. Ya. Murzina, S. V. Kazakova

“…However, in the modern sociocultural situation, characterised by diversity, discrepancy, multi-vector nature of development of society and polystylicity of culture, it is necessary to revise the forms of patriotic education in order to adjust them in accordance with the  requirements and mental features of new young generation – so-called generation Z, which is considerably different from the previous generation of peers.The aims of the research were the following: to identify promising areas and vectors of patriotic education, to demonstrate its resources and to highlight the most relevant means and possibilities, which are appropriate to present-day realities.Methodology and research methods. …”
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Early Fault Detection in Electro-Pneumatic Actuators using Mathematical Modelling and Machine Learning: A Bottling Company Case Study by Samuel Olufemi Amudipe, Adeyinka Moses Adeoye, Aderonke Oluwaseunfunmi Akinwumi, Rotimi Adedayo Ibikunle, Segun Adebayo

“…Establishing baseline parameters through this process allowed the creation of synthetic datasets for normal operational standards. …”
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MICRO-SCALE STUDY OF RESIDUAL STRESSES IN CR2O3 COATINGS SPRAYED BY APS by Franck Decroos, Cécile Langlade, Eric Bourillot, Geoffrey Darut, Manuel Francois

“…Whichever the application field, every material forming process generates residual stresses on the surface. …”
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Frequency of SARS-CoV-2 RNA Detection in Foreign Medical Students Vaccined against New Coronavirus Infection by O. A. Ryabtseva, P. V. Tsygankov, S. V. Shlyk, G. G. Kharseeva, A. V. Chepusova

“…Among those vaccinated with vector vaccines based on human adenovirus (Sputnik V, Sputnik Light, Ad26. …”
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Identification of Key Modules of Lung Cancer in Gene Regulatory Network using Greedy Modularity Optimization Approach by Zahra Sadat Mirghadery, Mehrdad Kargari, Mostafa Akhavan-Safar

“…In cancer, modules are considered as clusters of genes and regulatory molecules that play a role in the processes of cancer initiation and progression. These modules usually have a specific gene sequence as a central unit that is important in controlling and regulating cellular processes related to cancer. …”
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ENGINEERING EDUCATION: BETWEEN MISSION AND THE STANDARD by Nadezda G. Bagdasaryan

“…The problem of increase of the conflict between a traditional paradigm of engineering education and becoming alternative paradigm rises, and this is the cause of transition to new model of education in which the sociocultural vector forms a basis for understanding of deep world processes.…”
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基于空域转矩的齿轮传动系统分析方法 by 曾祥楷, 张光辉

“…It includes space domain spectrum analysis of torque from gear drive system, calculation of space domain frequency, post processing of spectrum, eigen vector and its relations with the structure parameters of gear drive system, method of application etc. …”
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E74‐like ETS transcription factor 3 expression and regulation in human intervertebral disc by María González‐Rodríguez, Djedjiga Ait Eldjoudi, Alfonso Cordero‐Barreal, Mariam Farrag, María Varela‐García, Clara Ruiz‐Fernández, Carlos Torrijos‐Pulpón, Francisca Lago, Lucía García‐Caballero, Yousof Farrag, Javier Conde‐Aranda, Jesus Pino, Oreste Gualillo

“…Abstract Background Intervertebral disc degeneration (IVDD) is one of the main causes of chronic low back pain. The degenerative process is often initiated by an imbalance between catabolic and anabolic pathways. …”
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COVID-19 detection from chest CT images using optimized deep features and ensemble classification by Muhammad Minoar Hossain, Md. Abul Ala Walid, S.M. Saklain Galib, Mir Mohammad Azad, Wahidur Rahman, A.S.M. Shafi, Mohammad Motiur Rahman

“…For the composition of the system, this approach constructs a feature vector from the CT images through the features fusion of two Convolutional neural network (CNN) models namely VGG-19 and ResNet-50. …”
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Aerial Images Segmentation with Graph Neural Network by A. V. Emelyanov, A. V. Emelyanov, V. A. Knyaz, V. A. Knyaz, V. V. Kniaz, V. V. Kniaz, S. Yu. Zheltov

“…The development of remote sensing platforms and sensors, as well as the improvement of remote data processing tools and methods, create new opportunities for automatic updating of maps. …”
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