Convolutional spatio-temporal sequential inference model for human interaction behavior recognition by Lizhong Jin, Rulong Fan, Xiaoling Han, Xueying Cui

“…Existing methods, including skeleton sequence-based and RGB video-based models, have achieved impressive accuracy but often suffer from high computational costs and limited effectiveness in modeling human interaction behaviors.MethodsTo address these limitations, we propose a lightweight Convolutional Spatiotemporal Sequence Inference Model (CSSIModel) for recognizing human interaction behaviors. …”
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Social and environmental determinants of disease uncertainty in obstructive sleep apnea: a dyadic qualitative study on patients and co-residents by Yuqi Niu, Yefan Shao, Linlin Chen, Yali Wang, Shanwen Sun, Xiaochun Zhang

“…Ethical approval was obtained, and informed consent was secured from all participants prior to the study.ResultsThe analysis of the interview data yielded seven major themes and 19 sub-themes. (1) “The Shadow of Knowing Little”; (2) “The Fog of Night and Day”; (3) “Symbiotic Suffering”; (4) “The Hidden Costs”; (5) “Delay in Seeking Medical Care”; (6) “Complex Choices”; (7) “Vacancies Calling for Attention.”ConclusionThe findings underscore that OSA patients and their co-residents face considerable uncertainty related to disease awareness, symptom experiences, medical decision-making, treatment plans, and social support. …”
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Genotypic variations of Tamarix aphylla (L.) H.Karst. population for heavy metal phytoremediation: a case study in Markazi province, Iran by Mina Taghizadeh, Fatemeh Asghari, Mousa Solgi, Ali Khadivi

“…Trees offer a more economically viable option for remediating heavy metal-contaminated soils as their extensive root systems, substantial biomass, lower requirements, and management contribute to reduced operational costs. This study seeks to enhance the understanding of metal accumulation in Tamarix aphylla (L.) …”
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Design and Performance Investigation of a Solar- Powered Biological Greywater Treatment System in the Iraqi Climate by Hashim A. Mahdi, Hassan Naji Salman AL-Joboory, Akram G. Abdula, Alia A. Hameed, Aseel K. Rasheed

“…The present work investigates the performance of a recycling solar- powered greywater treatment system for the purposes of irrigation, used to reduce the amount of waste grey water and reduce electricity consumption and reduce the costs of constructing large scale water treatment plants. …”
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Interoperation Scheme for Dedicated Wireless Trunking Systems in Urban Rail Transit by XU Lijin, GONG Jiansheng

“…Various schemes are compared and analyzed in depth in terms of additional equipment requirements, interface types, interoperation levels, roaming talk group capacity, compatibility with broadband systems, and construction costs. Based on the development and application of SIP (session initiation protocol) in dispatching systems, an interoperation scheme for a network-wide unified wireless dispatching system based on SIP protocol is proposed. …”
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A Method of Simultaneous Vehicle Localization and Roadside Pole-shaped Object Inventory Creation Based on Integrated LiDAR-IMU-GNSS System by YUAN Chao, PAN Wenbo, CHEN Zhiwei, HUANG Wenyu, LI Yuanzhengyu, YANG Zhenyu

“…At present, the use of mobile LiDAR systems (MLS) to collect environmental information and generate roadside pole-shaped object inventories is limited by equipment costs and has poor real-time performance. Although LiDAR-based simultaneous localization and mapping (SLAM) techniques have been widely applied in the navigation field, research on simultaneous real-time localization and creation of roadside pole-shaped object inventories remains absent. …”
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Cludoop: An Efficient Distributed Density-Based Clustering for Big Data Using Hadoop by Yanwei Yu, Jindong Zhao, Xiaodong Wang, Qin Wang, Yonggang Zhang

“…It employs the proposed serial clustering CluC as a plugged-in clustering on parallel mapper, along with a cell description instead of completed cell in transmission to reduce both network and I/O costs. Guided by proposed cell-based principles, we also design a Merging-Refinement-Merging 3-step framework to merge c-clusters on the overlay of assigned preclustering result on reducer. …”
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Genesis analysis and effective development of normal pressure shale gas reservoir: A case of Wufeng-Longmaxi shale gas reservoir in southeast margin of Sichuan Basin by XUE Gang, XIONG Wei, ZHANG Peixian

“…The fracturing scale simulation shows that it is necessary to further optimise the horizontal well segmented fracturing parameters, increase the output of single wells, and reduce development costs. Only in this way can effective development be realised.…”
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The effects of nursing care package implementation on pressure injuries prevention in the intensive care unit by Sevda Önen, Özlem Doğu

“…This also contributes to the prevention of pressure injury formation and health costs.…”
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Bringing Intelligence to SAR Missions: A Comprehensive Dataset and Evaluation of YOLO for Human Detection in TIR Images by Mostafa Rizk, Israa Bayad

“…Effective search and rescue (SAR) missions are critical for locating and assisting injured or missing individuals while optimizing resource allocation and minimizing costs. This work aims to enhance the efficiency of these missions by exploring advanced deep learning techniques for precise and efficient human detection in thermal images. …”
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Assessment of Rapid Urbanization Effects on Land Use Dynamics: A Google Earth and GIS Approach in Kemalöz District, Uşak, Türkiye - An Earth Science Perspective by Ümit Yıldız

“…The objective of this study is to investigate changes in land use in the Kemalöz District of Uşak, Türkiye, which is the fastest-growing district, by utilizing Google Earth Pro and GIS for rapid assessment of land use change between 2005 and 2024, offering an alternative to costly remote sensing software and low-resolution Landsat imagery. …”
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From sensors to insights: Technological trends in image-based high-throughput plant phenotyping by Rui-Feng Wang, Hao-Ran Qu, Wen-Hao Su

“…Despite significant advancements, current HTPP systems still face several challenges, including high costs, limited generalization in open-field conditions, and the need for large-scale annotated datasets. …”
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Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies by Hadi Hikmadyo Bisono, Ema Utami

“…While EVs offer advantages such as energy efficiency, reduced carbon emissions, and lower operating costs, selecting the right electric vehicle for a logistics company is not a straightforward task. …”
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Multimodal Knowledge Distillation for Emotion Recognition by Zhenxuan Zhang, Guanyu Lu

“…However, the practical application of EEG-based approaches is often hindered by high costs and operational complexity, making EOG a more feasible alternative in real-world scenarios. …”
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A novel flexible identity-net with diffusion models for painting-style generation by Yifei Zhao, Ziqi Liang, Yingrui Qiu, Xiaona Wang

“…However, traditional creative processes face challenges such as slow innovation, high costs, and limited scalability. Consequently, deep learning has emerged as a promising solution for enhancing painting-style creative design. …”
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Advancing Sustainable Groundwater Management With a Hydro‐Economic System Model: Investigations in the Harney Basin, Oregon by W. K. Jaeger, J. Antle, S. B. Gingerich, D. Bigelow

“…The HEM shows that: (a) although current groundwater pumping rates will gradually raise costs and reduce well yields, irrigators gain the highest aggregate economic return by continuing current pumping; (b) lowland areas of the basin are hydrologically connected, which limits the efficacy of remedies focused on regulations only in some portions of the basin; (c) community expectations regarding the efficacy of several proposed solutions are overly optimistic; and (d) the study's scenarios identify interventions that would stabilize the groundwater system and prevent additional adverse impacts on residential and livestock wells and groundwater‐dependent ecosystems. …”
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Studies of the constructed rail seat supports by M. Yu. Khvostik, M. A. Starodubtseva

“…Possessing the advantages of wooden sleepers (bars), they have higher wear resistance, lower life cycle costs (recyclable), are more homogeneous and do not rot. …”
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Integrated Approach to Optimizing Selection and Placement of Water Pipeline Condition Monitoring Technologies by Diego Calderon, Mohammad Najafi

“…The gradual deterioration of underground water infrastructure requires constant condition monitoring to prevent catastrophic failures, reduce leaks, and avoid costly unexpected repairs. However, given the large scale and tight budgets of water utilities, it is essential to implement strategies for optimal selection and deployment of monitoring technologies. …”
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Autonomous UAV Detection of <i>Ochotona curzoniae</i> Burrows with Enhanced YOLOv11 by Huimin Zhao, Linqi Jia, Yuankai Wang, Fei Yan

“…To address the inefficiency and high costs of traditional pika burrow monitoring, this study proposes an intelligent monitoring solution that integrates drone remote sensing with deep learning. …”
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Embedded feature selection using dual-network architecture by Abderrahim Abbassi, Arved Dörpinghaus, Niklas Römgens, Tanja Grießmann, Raimund Rolfes

“…Feature selection is essential for eliminating noise, reducing redundancy, simplifying computational complexity, and lowering data collection and processing costs. However, existing methods often face challenges due to the complexity of feature interdependencies, uncertainty regarding the exact number of relevant features, and the need for hyperparameter optimization, which increases methodological complexity.This research proposes a novel dual-network architecture for feature selection that addresses these issues. …”
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