Optimal Speech Signal Processing Based on Dynamic Multi-Scale Analysis by Zefei Guo, Xiao Li, Yuchen Zhang

“…To enhance the quality of speech signals, this paper introduces a novel speech signal processing method that integrates Dynamic Multi-Scale (DMS) and Adaptive Error Minimization (AEM) techniques. …”
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The 2024 clinical practice guidelines on the pharmacological management of Behavioural and Psychological Symptoms of Dementia (BPSD) in the Arab world by Syed Ali Bokhari, Tarik Qassem, Dania Al-Ayyat, Syed Fahad Javaid, Hamed Al-Sinawi, Walid Nasr

“…The guidelines cover key medication classes with detailed recommendations on dosage, side effects, and monitoring. Conclusions By integrating culturally appropriate, evidence-based strategies, these guidelines aim to enhance dementia care quality, incorporate the perspectives of patients and caregivers, support healthcare professionals, and promote safer, more effective management of dementia across diverse healthcare settings in the region.…”
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Detection and diagnosis of unknown threats in power equipment using machine learning and Spark technology by Li Di, Cen Chen, Zhuo Lv, Mingyan Li, Nuannuan Li, Hao Chang

“…Finally, we apply stacking techniques to integrate the two detection methods, enabling hybrid intrusion detection and diagnosis. …”
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A Decomposed-Ensemble Prediction Framework for Gate-In Operations at Container Terminals by Yifan Shen, Beng Xuan, Hongtao Hu, Yansong Wu, Ning Zhao, Zhen Yang

“…The experiment compares the autoregressive integrated moving average (ARIMA) algorithm, the prophet algorithm, and the Long Short-Term Memory (LSTM) algorithm, with results indicating the clear advantage of Long Short-Term Memory in decomposed time series modeling. …”
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Comprehensive Application of Borehole Fine Detection Methods: A Case Study in Shantou Bay Subsea Tunnel by Chengkun Wang, Zhengyu Liu, Zhao Dong, Fengkai Zhang, Chuanyi Ma, Xiaolin Xu, Qian Guo

“…To prevent such incidents and ensure safety, an integrated approach was employed. Firstly, the cross-hole resistivity method was used to predict water content in front of the tunnel, as it is highly sensitive to water. …”
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Multi-omics architecture of childhood obesity and metabolic dysfunction uncovers biological pathways and prenatal determinants by Nikos Stratakis, Augusto Anguita-Ruiz, Lorenzo Fabbri, Léa Maitre, Juan R. González, Sandra Andrusaityte, Xavier Basagaña, Eva Borràs, Hector C. Keun, Lida Chatzi, David V. Conti, Jesse Goodrich, Regina Grazuleviciene, Line Småstuen Haug, Barbara Heude, Wen Lun Yuan, Rosemary McEachan, Mark Nieuwenhuijsen, Eduard Sabidó, Rémy Slama, Cathrine Thomsen, Jose Urquiza, Theano Roumeliotaki, Marina Vafeiadi, John Wright, Mariona Bustamante, Martine Vrijheid

“…Leveraging extensive multi-omics profiling (methylome, miRNome, transcriptome, proteins and metabolites) and a rich phenotypic characterization across two parts of Europe within the population-based Human Early Life Exposome project, we unravel the molecular landscape of childhood obesity and associated metabolic dysfunction. Our integrative analysis uncovers three clusters of children defined by specific multi-omics profiles, one of which characterized not only by higher adiposity but also by a high degree of metabolic complications. …”
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A co-design matrix-based approach to evaluate the climate risks for airports: A case study of Bologna airport by Carmela De Vivo, Marta Ellena, Giuliana Barbato, Alessandro Pugliese, Francesca Marinucci, Tomaso Barilli, Paola Mercogliano

“…The matrix-based approach, distinguished by its integration of climate hazard, exposure and vulnerability data, proves to be both robust and replicable, especially when key stakeholders actively participate in the process. …”
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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…By incorporating a maximum entropy approach, it enhances the robustness of conventional deep reinforcement learning and integrates dominance learning to refine Soft Actor-Critic’s Q-value function update, mitigating overestimation issues and boosting algorithmic performance. …”
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A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization by Farman Ullah, Ghulam Sarwar, Sungchang Lee

“…The proposed system estimates the available bandwidth and visual quality on users N-Screen devices and integrates it with users preferences and contents genre information to personalize his N-Screen content. …”
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Effect of individual spinal muscle activities on upright posture using a human body finite element model by Yuko Nakahira, Masami Iwamoto, Tatsuya Igawa, Ken Ishii

“…Parametric simulations to investigate the effect of each spinal muscle impairment on upright posture with and without compensatory activities of the other muscles suggest that trunk extensors; the multifidus L1-S and longissimus thoracis muscles, and hip flexors; psoas major and iliacus muscles play an integral role in maintaining an upright posture. These findings support the results of a rehabilitation study that reported that exercises targeting the trunk, psoas muscles, and cervical extensors could improve global spinal alignment and clinical outcomes in DHS.…”
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Distributed sensing units deploying on group unmanned vehicles by Bao Rong Chang, Hsiu-Fen Tsai, Jyong-Lin Lyu, Chien-Feng Huang

“…This study has demonstrated integrating unmanned aerial/ground vehicles into a group through the control platform (i.e. …”
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Design and Experimental Evaluation on an Advanced Multisource Energy Harvesting System for Wireless Sensor Nodes by Hao Li, Gaofei Zhang, Rui Ma, Zheng You

“…Furthermore, a super capacitor is integrated in the system so that current fluctuations of the lithium polymer battery during the charging and discharging processes can be properly reduced. …”
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A Hybrid Approach Incorporating WSO-HO and the Newton-Raphson Method to Enhancing Photovoltaic Solar Model Parameters Optimisation by Jeridi Ahmed, Moulahi Mohamed Hedi, Khaterchi Hechmi, Zaafouri Abderrahmen

“…This study introduces a novel hybrid approach, WSO-HO, which integrates the strengths of the war strategy optimization (WSO) and Hippopotamus Optimization (HO) algorithms, enhanced by the Newton-Raphson (NR) method, to achieve precise parameter estimation for PV models. …”
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Controlled Oxidation of Metallic Molybdenum Patterns via Joule Heating for Localized MoS₂ Growth by Norah Aldosari, William Poston, Gregory Jensen, Maryam Bizhani, Muhammad Tariq, Eric Stinaff

“…This study demonstrates that Joule heating can be an effective method for precise control over TMD growth, offering a scalable approach for producing high-quality 2D materials that have the potential to be integrated into next-generation electrical and optoelectronic technologies.…”
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Real-Time Optimization of RISC-V Processors Based on Branch Prediction and Division Data Dependency by Zhiwei Jin, Hesong Di, Tingpeng Hu, Peng Wang

“…To address these issues, a “Hardware Real-Time Parameter (H_rtp)” is proposed, which integrates the concepts of “whether it meets real-time system requirements”, “execution speed”, and “operational stability”. …”
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Effect of background colors on oviposition site preference by Anopheles gambiae s.s.: an experimental proof by Norah Lowassari, Germana T. Baraka, Grace Jayombo, Castory Munishi, Eliningaya J. Kweka

“…This shows that green-colored background can be integrated into the gravid mosquito traps for efficiency increase.…”
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Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization by Kuan-Cheng Lin, Yi-Hung Huang, Jason C. Hung, Yung-Tso Lin

“…The basic CSO algorithm was integrated with a local search procedure as well as the feature selection and parameter optimization of support vector machines (SVMs). …”
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Experimental Study and Numerical Simulation of Radiated Noise from Unmanned Underwater Vehicle by Zhang Chunyu, Xu Qiang, Yang He, Peng Zilong, Li Jiangqiao, Zhou Jialiang

“…This paper focuses on the research of the radiation noise of underwater unmanned vehicle (UUV), which is one of the most important indicators for evaluating the performance of underwater unmanned equipment. Integrating experimental study and numerical calculations, this paper investigates the underwater radiated noise characteristics and hydrodynamic properties of the propeller of UUV. …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the model training stage, taking into account the latent features of the converter impedance model, a neural network with the same number as the disturbance frequency was designed, and the Levenberg-Marquardt algorithm with Bayesian regularization integrated is used to enhance the generalization ability of the network trained with a small dataset. …”
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Management of Digital Communications with Target Groups by Leading Russian Universities by E. V. Brodovskaya, A. Yu. Dombrovskaya, V. A. Lukushin

“…Based on the data obtained, we have developed recommendations for improving the digital management of universities, increasing the density of connections and the integration of users within the online communities of universities as one of the conditions for effective management of a university brand in the modern network space.…”
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