Categorizing E-cigarette-related tweets using BERT topic modeling by D. Murthy, S. Keshari, S. Arora, Q. Yang, A. Loukas, S.J. Schwartz, M.B. Harrell, E.T. Hébert, A.V. Wilkinson

“…In contrast, unsupervised machine learning approaches, such as topic modeling, allow for efficient analysis of large datasets, uncovering patterns and trends that manual methods cannot achieve at scale. …”
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Coverage Path Planning Using Actor–Critic Deep Reinforcement Learning by Sergio Isahí Garrido-Castañeda, Juan Irving Vasquez, Mayra Antonio-Cruz

“…Our findings demonstrate that actor–critic methods can produce policies capable of guiding a robot to efficiently explore and cover new environments.…”
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Sensitive Detection of Lasalocid Residue in Chicken by Surface Enhanced Raman Spectroscopy by Yao WANG, Yingying SUN, Yubing JING, Xiyan YANG, Yanfei LI, Jiaxiang HUANG, Xiujin CHEN, Zhaozhou LI, Li CAO, Huaibin KANG

“…In order to improve the efficiency of monitoring and detecting the residues of the anticoccidial veterinary drug lasalocid (LAS) in chicken, a sensitive method for the determination of LAS residues was established by surface-enhanced Raman spectroscopy (SERS). …”
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Risk Management in Sustainable Construction Projects: A Systematic Review and Bibliometric Analysis by Kasra Hosseini, Youness Javid

“…Such comprehensive studies are crucial for the efficient allocation of resources. The primary contribution of this research to the bibliometric analysis of SCPs' risk management lies in its unique approach to determining the direction of future research.…”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

“…Abstract Accurate estimation of permeability reduction in clay-rich sandstones during low-salinity water flooding is critical for optimizing enhanced oil recovery (EOR) strategies and ensuring efficient reservoir management. Traditional methods often rely on costly experiments or simplified empirical correlations, which struggle to capture the complex, non-linear interactions governing this phenomenon. …”
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Optimal D-STATCOM placement and sizing using a novel bird swarm operated exploitation of elephant herd algorithm by V. Tejaswini, D. Susitra

“…The proposed Hybrid Algorithm, named Bird Swarm Operated Exploitation of Elephant Herd (BSOEEH), is tested under four different scenarios to determine its effectiveness compared to traditional optimization methods. …”
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System analysis of mathematical models of placement of transport and logistics facilities of different levels by O. V. Moskvichev, E. E. Moskvicheva

“…One of the most important tasks in the implementation of this project in the context of limited investment resources is the correct justification of the number and choice of locations for the transport and logistics centres of the overarching network in the Russian Federation, as well as the locations of transport and logistics centres in the constituent entities of the Russian Federation.Materials and methods. This article provides an evaluation analysis of the classical methods for finding optimal centres on a plane and some construction of mathematical quantitative models for the optimal placement of transport and logistics facilities.Results. …”
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Initial validation of the powered mobility device autonomy residential screen (PoMoDARS) by Natalie C. Dickson, Apeksha R. Gohil, Carolyn A. Unsworth

“…The PoMoDARS is context specific, time efficient and promotes resident autonomy and safety.Aims To (i) undertake initial face and content validation of the PoMoDARS, and (ii) use the research findings to make any modifications.Methods A mixed-methods study design, underpinned by Classical Test Theory. …”
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Forest Fire Clustering: A Novel Tool for Identifying Star Members of Clusters by Xingyin Wei, Jing Chen, Su Zhang, Feilong He, Yunbo Zhao, Xuran He, Yongjie Fang, Xinhao Chen, Hao Yang

“…In the era of a data-driven landscape, the development of an efficient and interpretable method has become a pivotal tool for robustly identifying memberships of clusters. …”
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Factors Affecting Values of Short-Circuit Current Levels in Electrical Power Engineering Systems by F. M. Erkhan

“…They are discretely changeable, depend on a number of factors and have a significant importance while selecting electric equipment, a graph of power network development and voltage levels.Determination of the main factors affecting values of short-circuit currents permits to develop efficient methods with the purpose to limit their increase in power networks with various voltage class.…”
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Numerical Simulation of Fluctuating Wind Effects on an Offshore Deck Structure by Jin Ma, Dai Zhou, Zhaolong Han, Kai Zhang, Jennifer Nguyen, Jiabao Lu, Yan Bao

“…This study conducts an investigation to analyze the wind-induced structural response of a typical offshore deck structure. An accurate and efficient mixture simulation method is developed to simulate the fluctuating wind speed, which is then introduced as the boundary condition into numerical wind tunnel tests. …”
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Speciation Analysis and Related Models of Heavy Metals in Contaminated Soil by Zehao LIU, Chunyun JIA, Fengcui FAN, Shujuan DAI, Xiaojun LI

“…Conventional methods for the determination of heavy metal ions in soil generally include atomic fluorescence spectrometry, atomic absorption spectrometry, inductively coupled plasma emission spectrometry, etc.. …”
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Rheumatoid arthritis in real clinical practice: initiation of therapy with biological agents. Results of the «Computer Terminals of Self-Assessment for Patients with Rheumatic Dise... by V. N. Amirdzhanova, E. Yu. Pogozheva, A. E. Karateev, O. V. Antipova, I. B. Vinogradova, A. Yu. Kazankova, R. G. Mukhina, A. G. Vasilyev, O. B. Nesmeyanova, E. A. Bogdanova, R. R. Samigullina, A. A. Vasilenko, I. B. Bashkova, T. S. Salnikova, I. N. Dashkov, N. E. Nikulenkova, V. Yu. Manokhin, I. P. Afanasyeva, O. N. Anoshenkova, T. V. Plaksina, M. R. Spitsina, L. V. Solodovnikova, A. V. Petrov, O. P. Slyusar, E. V. Papichev, E. V. Ivanova, L. V. Masneva, L. P. Evstigneeva, I. V. Kolotilina, E. N. Otteva, I. A. Cherentsova, I. N. Shchendrygin, S. A. Derevenskikh, I. G. Bannikova, N. K. Delyavskaya, I. N. Danilova, I. M. Marusenko

“…The efficiency of the therapy was analyzed 6 months after the start of the study according to the standard procedures.Results and discussion. …”
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Design and Optimization Application of Cut Blasting Parameters for One-Time Completion of Blind Shaft by Yifeng Zhang, Yongsheng Jia, Nan Jiang, Quanming Xie, Lin Yuan, Yongbo Wu, Zehui Xu

“…Combined with practical engineering examples and the determination method of compensation coefficient <i>C_f</i>, three types of linear cutting patterns, namely six-hole bucket cutting, seven-hole bucket cutting, and nine-hole bucket cutting, are designed. …”
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Deep Learning-Based Real-Time 6D Pose Estimation and Multi-Mode Tracking Algorithms for Citrus-Harvesting Robots by Hyun-Jung Hwang, Jae-Hoon Cho, Yong-Tae Kim

“…Additionally, we present methods for training an EfficientPose-based model for 6D pose estimation and ripeness classification, and an algorithm for determining the optimal harvest sequence among multiple fruits. …”
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Effectiveness of Four-Decontamination Techniques on Bacterial Growth on CPR Manikins after Use in a CPR Course

“…Objective: Determine the degree of contamination on CPR manikins after routine use, and evaluate the efficacy of four disinfecting methods to reduce bacterial growth. …”
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Machine Learning-Based Mooring Failure Detection for FPSOs: A Two-Step ANN Approach by Omar Jebari, Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, Moohyun Kim

“…These findings demonstrate the potential of machine learning for near-real-time mooring integrity monitoring, offering a practical and efficient alternative to traditional inspection methods.…”
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Machine Learning Techniques for Uncertainty Estimation in Dynamic Aperture Prediction by Carlo Emilio Montanari, Robert B. Appleby, Davide Di Croce, Massimo Giovannozzi, Tatiana Pieloni, Stefano Redaelli, Frederik F. Van der Veken

“…We evaluated these approaches to determine the most effective method for reliable uncertainty estimation in dynamic aperture predictions using machine learning techniques.…”
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Two dynamical models for male infertility and their stability and sensitivity analysis by Somaye Ghiasi Hafezi, Mahdi Ranjbar, Atena Ghasemabadi, Sohrab Effati, Alvand Naserghandi, Kosar Namakin, Farzad Allameh

“…Our dynamical models evaluate ART success rates in our subgroups considering couples under Intrauterine insemination (IUI), In Vitro Fertilization–Embryo Transfer (IVF), Intra–Cytoplasmic Sperm Injection (ICSI) treatment methods. Sensitivity analysis of parameters suggests that an increase in infertile couples who use IUI and ICSI treatment methods can result in better disease control and a more favorable outcome. …”
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Evaluating the Potential Use of Wearable Fitness Devices as a Measure of Outcomes in Orthopaedics by Jordan Henderson BS, Santiago Logan-Baca BS, Sara Kisiel BS, Fadi Muheidat PhD, David Jaffe MD

“…With the rise of wearable fitness devices and smartphone applications, alternative methods are being explored for a more efficient and objective measurement of outcomes. …”
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