Examining the Spatial Disequilibrium and Driving Factors of Population Aging and Elderly Service Resource Allocation in Rural Areas: A Case Study of Wenzhou City by Xiang Xiaoye, Lin Liyue, Xu Shiyu, Huang Tao

“…Based on seventh population census data, Point Of Interest (POI) data, road network data, elevation data, and night light index, we used the entropy method, nuclear density analysis method, spatial dislocation index, geographic detector, and other methods to study the phenomenon and driving factors of population aging and the spatial disequilibrium of pension service resources in each township (street) of Wenzhou in 2020. …”
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Optimizing spatial normalization of multisubject inner ear MRI: comparison of different geometry-preserving co-registration approaches by Johannes Gerb, Valerie Kirsch, Emilie Kierig, Thomas Brandt, Marianne Dieterich, Rainer Boegle

“…Only TIE and 3P allowed for sufficient semicircular canal visualization in method-wise average volumes. Overall, geometry-preserving spatial normalization of multisubject inner ear imaging data is possible and could allow groupwise examinations of the bony labyrinth or temporal bone morphology in the future.…”
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Analyzing Research Trends on High Intensity Interval Training and Oxidative Stress: A Bibliometric Analysis (2000-2023) by Anshul Meena, Pradeep Singh Chahar, Jagdeep Singh

“…This study aimed to assist researchers and practitioners in grasping current research trends and exploring future research directions in the field of oxidative stress and HIIT. Materials and methods. This paper presents a comprehensive bibliometric overview and visualization of research on oxidative stress in HIIT, analyzing 192 publications from the Scopus database. …”
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Digital twins for building industrial metaverse by Zhihan Lyu, Mikael Fridenfalk

“…Objectives: This study aims to investigate the application and fundamental technologies of Digital Twins (DT) in the development of the industrial metaverse, to enhance factory production efficiency. Methods: The study adopts a literature review approach to explore the architecture and key technologies of the industrial metaverse, including DT, cloud rendering, virtual-real interaction, big data visualization, and the Internet of Things. …”
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IMPACT OF LEARNING EARTH LITOSPHERE USING INTERACTIVE CONCEPTUAL INSTRUCTION ON LOGIC THINKING, CONCEPTUAL UNDERSTANDING, AND SPIRITUAL ASPECT EMBEDDING by H. Johan, A. Suhandi, A. R. Wulan, S. Sipriyadi

“…The aim of this study is to explore the impact of interactive-conceptual-instruction with visualization on logic thinking, conceptual understanding and spiritual aspect embedding. …”
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Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator. by Lang Gao, Guang Dong Wang, Xing Yi Yang, Shi Jun Tong, Xu Jie Wang, Yun Ruo Chen, Jin Ying Bai, Ya Xin Zhang

“…The SHapley Additive exPlanations (SHAP) method was used for visualization and interpretation, enhancing the clinical understanding of the model, alongside the creation of an online web calculator.…”
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Detection of atomoxetine and its metabolites in the urine by thin-layer chromatography and mass spectrometry by S. A. Karpushyna, S. V. Baiurka, T. O. Tomarovska

“…Atomoxetine and its biotransformation products were detected in the urine under TLC screening conditions and identified using mass spectrometry method. Chromatographic mobility of the native compound, hydroxyatomoxetine, and dihydroxyatomoxetine in the TLC screening systems as well as the results of their visualization using chromogenic reagents applied for toxicological drug screening in the systematic toxicological analysis have been determined.…”
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ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

“…With the global average pooling (GAP) layer incorporated in the residual shrinkage network structure, we introduce an EEG-based Class Activation Map (ECAM) interpretable method to enable visualization analysis of sample-wise learned patterns to effectively explain the model decision. …”
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Deep Learning-Based Imagery Style Evaluation for Cross-Category Industrial Product Forms by Jianmin Zhang, Yuliang Li, Mingxing Zhou, Sixuan Chu

“…By combining Kansei Engineering (KE) theory with four key visual morphological features—contour lines, edge transition angles, visual directions and visual curvature—we define six representative style paradigms: Naturalness, Technology, Toughness, Steadiness, Softness, and Dynamism (NTTSSD), enabling quantification of the mapping between product features and user preferences. …”
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Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation by Shunjing Wang, Ru Ma, Qunran Yuan, Hongda Li, Changqing Jiang

“…However, the standard method for VTA calculation, which involves modeling biological nerve fibers, is highly time-consuming and limits clinical applicability. …”
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An integrative genomic approach to uncover molecular mechanisms of prokaryotic traits. by Yang Liu, Jianrong Li, Lee Sam, Chern-Sing Goh, Mark Gerstein, Yves A Lussier

“…We propose that this method elucidates which classes of molecular mechanisms are associated with phenotypes or metaphenotypes and holds promise in facilitating a computable systems biology approach to genomic and biomedical research.…”
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Pubic symphysis tethering technique under endoscopic approach for treatment of pelvic open-book injury: A cadaver study by Pierre Emmanuel Moreau, Ali Bokhari, Sarah El Yahiouni, Quentin Manach, Peter Upex, Guillaume Riouallon

“…In this feasibility cadaveric study, we aimed to describe a novel endoscopic technique of fixation of pubic symphysis disruption with a spinal vertebral tethering system. Methods: Endoscopic pubic symphysis fixation with the tethering method was performed on a female cadaver specimen as well as an artificial pelvic model. …”
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Enhancing Disaster Situation Awareness Through Multimodal Social Media Data: Evidence from Typhoon Haikui by Songfeng Gao, Tengfei Yang, Yuning Xu, Naixia Mou, Xiaodong Wang, Hao Huang

“…Emergency situation awareness during sudden natural disasters presents significant challenges. Traditional methods, characterized by low spatial and temporal resolution as well as coarse granularity, often fail to comprehensively capture disaster situations. …”
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A transgenic mouse line for rabies virus-mediated trans-synaptic tracing in the postnatal developing brain. by Kengo Inada, Mitsue Hagihara, Miho Kihara, Takaya Abe, Kazunari Miyamichi

“…This method relies on RV mutants that require the expression of the TVA receptor and rabies glycoprotein to infect and spread to presynaptic neurons. …”
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Determining the efficiency of low-intensity laser radiation exposure with a wavelength of 445 nm appliied to the gingival area according to the data from laser doppler flowmetry by Natalia V. Romanenko, Ekaterina V. Tulskikh, Natalia M. Kirsanova, Svetlana V. Tarasenko

“…AIM: to assess the effects of 445 nm laser radiation with a 0.1 Watt power on the microcirculation and the lymphatic flow in the gingival area using the method of laser Doppler flowmetry. METHODS: The efficiency of laser radiation with a wavelength of 445 nm in the gingival area was determined by the data from laser Doppler flowmetry. …”
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Gait Stability Under Hip Exoskeleton Assistance: A Phase-Dependent Analysis Using Gait Tube Methodology by Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti

“…This study introduces gait tube analysis, a novel method for visualizing center of mass velocity trajectories in three-dimensional state space, to quantify phase-dependent gait stability under hip exoskeleton assistance. …”
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ADHD detection from EEG signals using GCN based on multi-domain features by Ling Li, Xueyang Guo, Zihan Yang, Yanping Zhao, Xu Liu, Junxian Yang, Yanyan Chen, Xinxian Peng, Lina Han

“…While many researchers have explored automated ADHD detection methods, developing accurate, rapid, and reliable approaches remains challenging.MethodsThis study proposes a graph convolutional neural network (GCN)-based ADHD detection framework utilizing multi-domain electroencephalogram (EEG) features. …”
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COVID-19 as a Catalyst of Food Security Crisis. Whether the Existing System of Agriculture Can Remain the Same by Oleksandra Ovchynnykova

“…The visualization method was used to simplify the perception of the proposed array of information. …”
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Fine-Grained Identification of Benthic Diatom Scanning Electron Microscopy Images Using a Deep Learning Framework by Fengjuan Feng, Shuo Wang, Xueqing Zhang, Xiaoyao Fang, Yuyang Xu, Jianlei Liu

“…Ablation studies and visualization further validate the efficacy of each module.…”
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Technical approaches of 3D reconstruction from protein complex using the mixture of differently stained images: providing suggestive evidence for improving its resolution by Yoon Ho Park, Myeong Seon Jeong, Gang San Song, Tak gwonbaek, Young Kwan Kim, Hyun Suk Jung

“…However, the limitations of single staining methods often result in incomplete structural information. …”
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