Exploring Passengers’ Dependency Variety on Stations’ Functions in Urban Subway by Xia Zhao, Pengpeng Jiao, Yong Zhang, Chenjing Zhou

“…Yet, how those passengers who possess low dependency on urban subway travel is less investigated. …”
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Thresholding Dolphin Whistles Based on Signal Correlation and Impulsive Noise Features Under Stationary Wavelet Transform by Xiang Zhou, Ru Wu, Wen Chen, Meiling Dai, Peibin Zhu, Xiaomei Xu

“…The test results show the SI-ACF method effectively eliminates noise, improves whistle signal spectrogram visualization, and enhances the accuracy of automated whistle detection, highlighting its potential for whistle signal preprocessing under low SNR.…”
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Most vulnerable diet and health profiles: identifying countries at risk through a three-theme clustering by Ahmet Murat Günal, Salim Yılmaz, Sedat Arslan

“…These countries, predominantly in Africa and Asia, exhibited low daily animal protein intake (<20 g/day), high rates of diet-related diseases, and limited access to healthcare. …”
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A comprehensive review of ship emission reduction technologies for sustainable maritime transport by Jiangtao Bai, Yutong Yan, Xinyun Bai

“…Future research should focus on finding optimal solutions for alternative marine fuels, clarifying the low-carbon transformation pathways for ships, and promoting effective follow-up actions from all relevant parties.…”
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AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations by Xiaowen Zhang, Patrick Lachance, Ankita Dasgupta, Rupert A. C. Croft, Tiziana Di Matteo, Yueying Ni, Simeon Bird, Yin Li

“…Super-resolution (SR) models in cosmological simulations use deep learning (DL) to rapidly enhance low-resolution (LR) runs with statistically correct fine details. …”
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An electronic toll collection gateway BLE RSSI dataset for localization of smartphones in vehicular scenarios by Alejandro Gil-Martínez, Alejandro Rabadán-Parra, David Cañete-Rebenaque, José Luis Gómez-Tornero

“…Abstract This paper presents a dataset based on Bluetooth Low Energy (BLE) and the use of smartphones for vehicle localization and tracking. …”
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Exploration of Learning Innovations to Improve Critical Thinking in Student Problem-Solving Through the Design Thinking by Indika Irkhamni, Aryo Andri Nugroho, Ida Dwijayanthi

“…The focus of the research is the low critical thinking skills of students and the difficulty in visualizing geometry. …”
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A Research Methodology for Wind Tunnel Investigation of Development and Demise of a Vortex Ring State by Katarzyna SURMACZ, Paweł RUCHAŁA, Wit STRYCZNIEWICZ

“…The object of investigation was a model of a helicopter with a powered rotor, placed in a low-speed wind tunnel with test section diameter of 1.5 m. …”
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Potential of modern investigations for detecting and monitoring asymptomatic congestion in patients with heart failure by Zh. D. Kobalava, L. V. Kokhan, A. F. Safarova, M. V. Vatsik-Gorodetskaya, S. A. Galochkin

“…The current methods for congestion diagnosis, mainly clinical, have low sensitivity and specificity, which can lead to a delay in diagnosis and initiation of treatment.Over the past decades, novel, more sensitive and specific ultrasound techniques have been developed to detect increased intracardiac pressure and/or volume overload, providing early and accurate diagnosis and facilitating treatment strategies. …”
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The Psychological Aspects of Corporate Foresight by Timofei Nestik

“…The results of expert panel revealed several organizational and psychological barriers that hinder corporate foresight effectiveness in Russia: distrust toward long-term forecasting, the avoidance of responsibility for one’s own future, a poor focus on the future, and low levels of social cooperation. Special attention is paid to overcoming the cognitive biases and socio-psychological effects during foresight sessions that hinder group reflection, including: the effects of overconfidence, the desirability effect, framing, future anxiety, neglect of the scope of risk, future stereotyping, uncertainty of outcome, availability heuristic, the generalization of fictional evidence, the visualization effect, hindsight bias, future discounting, cognitive dissonance, regression to the mean, planning fallacy, explanation effect, common knowledge and polarization effects, technophile’s bias, and self-fulfilling prophecies. …”
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Exploring Three-js library possibilitiesfor the dissemination of cultural heritage projects by Jesús Palomar-Vazquez, María José Viñals-Blasco

“…Most of the existing web-based platforms are using WebGL technology to disseminate 3D content through Web navigators, despite they are normally generic, with a low level of viewers ‘customization. Alternatively, users can make use of several libraries, most of them open source, which allow a complete adaptation to the specific project features, even though enough level of programming skills are necessary to use them. …”
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Development of PD3 and PD3-B for PDEδ inhibition to modulate KRAS activity by Jungeun Lee, Ho Jin Lee, Yeongcheol Lee, Bumhee Lim, Jongsik Gam, Dong-Chan Oh, Jeeyeon Lee

“…By using the unique fluorescent characteristics of the IQ scaffold, a fluorescence polarisation (FP)-based binding assay identified PD3 as the most effective PDEδ probe among the tested PD analogues, with a low Kd value of 0.491 µM and long retention time in the binding site of PDEδ. …”
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Specific Conditions for Resveratrol Neuroprotection against Ethanol-Induced Toxicity by Brigitte Gonthier, Nathalie Allibe, Cécile Cottet-Rousselle, Frédéric Lamarche, Laurence Nuiry, Luc Barret

“…Protection offered by trans-resveratrol against ethanol-induced neurotoxicity was only effective for low concentrations of this polyphenol.…”
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Evaluating the effectiveness of a novel cost-effective aerosol containment chamber for high-risk autopsies: a pilot study by Latif Rajesh Johnson, Daniel Manoj, Benjy Tom Varughese, Ranjit Immanuel James

“…To address this, we developed a Low-Cost Infection Containment Chamber (LCICC)—a full-length, transparent, and impermeable structure designed to contain aerosols during high-risk autopsy procedures. …”
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Stability, bifurcation and chaos analysis of vector-borne disease model with application to Rift Valley fever. by Sansao A Pedro, Shirley Abelman, Frank T Ndjomatchoua, Rosemary Sang, Henri E Z Tonnang

“…Furthermore, the coexistence of the endemic equilibrium is subjected to existence of certain number of infected Aedes mosquitoes, suggesting that Aedes have potential to initiate RVF epidemics through transovarial transmission and to sustain low levels of the disease during post epidemic periods. …”
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Hyperpolarized functional magnetic resonance of murine skeletal muscle enabled by multiple tracer-paradigm synchronizations. by Avigdor Leftin, Tangi Roussel, Lucio Frydman

“…Performing these measurements in real time, however, is severely challenged by the short functional timescales and low concentrations of natural metabolites. Dissolution dynamic nuclear polarization is an emerging technique that can potentially alleviate this, as it provides a massive sensitivity enhancement allowing one to probe low-concentration tracers and products in a single-scan. …”
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Targeted biosensors for intracellular lipid droplet content detection by Shengdong Li

“…In particular, the visualization of tumors with abnormal distribution of lipid droplets remains a significant challenge. …”
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Monitoring Total Water Storage Changes with GRACE Mission and GLDAS Model and Effect of Climatic Factors on These Changes: Case Study in Konya Basin by Emel Zeray Öztürk

“…In recent years, it is possible to produce maps for the monitoring of water resources, trend estimations and visualization of changes in water areas, with remote sensing technology. …”
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Annexin A5–Functionalized Nanoparticle for Multimodal Imaging of Cell Death by Rui Zhang, Miao Huang, Min Zhou, Xiaoxia Wen, Qian Huang, Chun Li

“…In all disease models, cell death was clearly visualized by both μSPECT/CT and FMT. In contrast, there was relatively low signal in the corresponding tissues of control mice. …”
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Efficient fault diagnosis in rolling bearings lightweight hybrid model by Peng Yang, Bozheng Zhang, Jianda Zhao

“…Abstract To address the issue of low efficiency in feature extraction and model training when traditional deep learning methods handle long time-series data, this paper proposes a Time-Series Lightweight Transformer (TSL-Transformer) model. …”
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