Efficient Fault Diagnosis of Elevator Cabin Door Drives Using Machine Learning with Data Reduction for Reliable Transmission by Jakub Gęca, Dariusz Czerwiński, Bartosz Drzymała, Krzysztof Kolano

“…This article addresses the issue of the elevator cabin door drive system failure diagnosis. …”
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Internal Perspectives on Visual Identities in Higher Education: A Case Study of Top-Ranked Universities in Indonesia [version 2; peer review: 3 approved] by Luqman Lee, Rabendra Yudistira Alamin, Syarifa Hanoum, Ellya Zulaikha, Putri Dwitasari

“…Background The neglect of visual identity (VI) at the organizational level within higher education institutions (HEIs) has become a critical issue, while previous studies over the past decade has focused on HEI branding and reputation. …”
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Ayurvedic Management of Katishool (Lumbar Spondylosis): A Case Report by Mohnish Vijay Gokhale, Vaishali Kuchewar, Ashvini Pardhekar, Pankaj Yadav

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Current Insight into the Dynamics of Secondary Endodontic Infections by Alexandru Andrei Iliescu, Irina Maria Gheorghiu, Sergiu Ciobanu, Ion Roman, Anca Silvia Dumitriu, Stana Păunică

“…In SEIs, the microbial species interactions are crucial in influencing the ecology of infected root canals. The issue of the keynote pathogen is still under debate. …”
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Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning by Son V.T. Dao, Tuan M. Le, Hieu M. Tran, Hung V. Pham, Minh T. Vu, Tuan Chu

“…As global waste production grows, sustainable waste management (WM) has become an issue for modern societies. This paper explores the integration of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve waste management (WM) systems by enhancing automation, classification accuracy, operational efficiency, and real-time decision-making. …”
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Exploring drivers and prevention strategies for sexual violence among adolescent girls and young women in Kicukiro, Rwanda by Wongani Patricia Kawonga, Sam M. Livingstone, Augustine Ndaimani, Jean Pierre Sibomana, Tsion Yohannes Waka, Maxwell Mhlanga, Andrew Mclellan

“…IntroductionSexual violence against adolescent girls and young women (AGYW) is a pervasive issue globally, with particularly high prevalence in sub-Saharan Africa. …”
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GSD-SSR: an integrated framework for power analysis in IRB proposals using group sequential design and sample size re-estimation by Yuxi Zhu, Yuxi Zhu, Shi Du, Peihe Xia, Peihe Xia

“…Group Sequential Design with Sample Size Re-estimation (GSD-SSR) effectively addresses this issue by utilizing interim data at predefined stages to refine these estimates. …”
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From Simulation to Reality: Transfer Learning for Automating Pseudo‐Labeling of Real and Infrared Imagery by Jeffrey Choate, Derek Worth, Scott L. Nykl, Clark Taylor, Brett Borghetti, Christine Schubert Kabban, Ryan Raettig

“…The pose and reprojections allow filtering of bad predictions, a common issue in pseudo‐labeling. Thereby, enabling automated labeling of large datasets with minimal human intervention. …”
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A Novel Adaptive Cuboid Regional Growth Algorithm for Trunk–Branch Segmentation of Point Clouds from Two Fruit Tree Species by Yuheng Cao, Ning Wang, Bin Wu, Xin Zhang, Yaxiong Wang, Shuting Xu, Man Zhang, Yanlong Miao, Feng Kang

“…However, the precise segmentation of trunks and branches remains a significant challenge, limiting the accurate measurement of phenotypic parameters and high-precision pruning of branches. To address this issue, a novel adaptive cuboid regional growth segmentation algorithm is proposed in this study. …”
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Dispatching of distribution networks with high permeability distributed new energy based on phase shifting transformer loop-closing device by Gao Xiaochen, Xu Haoran, Zhao Xin, Gao Shan, Xie Haixiang, Zhang Ningyu, Li Qun, Yang Yue

“…To address the issue of curtailment in wind and photovoltaic power due to high penetration of distributed renewable energy sources in multi-partition distribution networks, and to enhance operational efficiency and voltage quality, a day-ahead and intra-day scheduling strategy based on Phase Shifting Transformer (PST) loop-closing device is proposed. …”
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Adaptive Disconnector States Diagnosis Method Based on Adjusted Relative Position Matrix and Convolutional Neural Networks by Peifeng Yan, Chenzhang Chang, Dong Hua, Haomin Huang, Suisheng Liu, Peiyi Cui

“…First, we align the measured operational power signal of the HVD drive motor with the recorded normal operational power signal, deriving the FDS through subtraction. Next, to address the issue of traditional Relative Position Matrix (RPM) conversion processes that lose sample amplitude information, we introduce a targeted improvement to the relative position matrix calculation method, converting the one-dimensional FDS into a two-dimensional image. …”
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Wind and grid energy-based onshore beach charging station for electric vehicles: An integration infrastructure with techno economics, sustainable mobility, and environmental protec... by Anis ur Rehman, Muhammad Fahad Zia, Harism. Khalid, Zafar Said, S.M. Muyeen

“…The conventional electric vehicle (EV) charging process is often time-consuming, posing a significant challenge in busy schedules. …”
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Patterns of genetic diversity in five species of Passeriformes co-distributed in an environmental gradient by Marcela Restrepo-Arias, Héctor F. Rivera-Gutiérrez, Iván Darío Soto-Calderón, Ernesto Pérez-Collazos, Catalina González-Quevedo

“…Understanding the evolutionary processes that influence the distribution of genetic diversity in natural populations is a key issue in evolutionary biology. …”
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Extensive Feature-Inferring Deep Network for Hyperspectral and Multispectral Image Fusion by Abdolraheem Khader, Jingxiang Yang, Sara Abdelwahab Ghorashi, Ali Ahmed, Zeinab Dehghan, Liang Xiao

“…., computation cost, manually tuning parameters, and the absence of imaging models that laboriously affect the fusion process. With the revolution of deep learning, the recent HS-MS image fusion techniques gained good outcomes by utilizing the power of the convolutional neural network (CNN) for feature extraction. …”
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EVALUATION OF ORGANIZATIONAL AND RESOURCE PROVISION FOR THE FUNCTIONING OF TERRITORIAL COMMUNITY IN THE FINANCIAL SECURITY MANAGEMENT SYSTEM by Світлана Домбровська, Олександр Дацій, Ігор Приходько, Вероніка Ковальчук, Олександр Василенко

“… The organizational and resource components play an extremely important role not only in the context of the development of modern amalgamated territorial communities but also in the process of managing their financial security. The security issue of territorial communities directly depends on the organizational structure, the number of participants, the functions assigned to them, the results of their duties, and the scope of information and technical provision. …”
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Risk factors for infectious complications after total elbow arthroplasty by A. A. Boyarov, A. V. Ambrosenkov, A. G. Aliev, R. M. Tikhilov, I. I. Shubnyakov

“…Performing a two-stage revision allows stopping the infectious process with high efficiency in most cases.…”
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Promoting Healthy Lifestyle Strategies among Couples for Sustainable Family Survival in Oyo State, Nigeria by Taiwo Adekemi Akinyemi, Olajide Olatunde Adeola, Halimot Omobola Toriola

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Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach by Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem

“…Machine learning (ML) and deep learning (DL) algorithms have improved image processing, speech recognition, defect detection, item identification, and medical sciences. …”
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FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection by Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong

“…Although DETR’s self-attention mechanism effectively captures the global context, it struggles with fine-grained detail detection, limiting its efficacy in small object detection where noise can easily obscure or confuse small targets. To address these issues, we propose <b>F</b>uzzy <b>S</b>ystem <b>DN</b>N-<b>DETR</b> involving two key modules: Fuzzy Adapter Transformer Encoder and Fuzzy Denoising Transformer Decoder. …”
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An evolution of forensic linguistics: From manual analysis to machine learning – A narrative review by R. Thamizh Mani, Vikram Palimar, Mamatha Shivananda Pai, T.S. Shwetha, M. Nirmal Krishnan

“…By synthesizing 77 studies, the analysis reveals that ML algorithms—notably deep learning and computational stylometry—outperform manual methods in processing large datasets rapidly and identifying subtle linguistic patterns (e.g., authorship attribution accuracy increased by 34 % in ML models). …”
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