SOCIAL NETWORKS AS PLATFORMS FOR COMMUNICATION ACTIVITY OF PUBLISHERS by Svitlana Vodolazka

“…However, effective utilisation requires strategic planning and continuous adaptation to platform algorithm changes. …”
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Development of a semantic map for an unmanned vehicle using a simultaneous localisation and mapping method by O. A. Rodionov, B. Rasheed

“…Introduction: The field of unmanned technologies is rapidly developing and a lot of research is being conducted on the practical application of artificial intelligence algorithms to solve complex problems on the road. The difficulties in the perception of the surrounding world by the machine led to the appearance of special High definition maps. …”
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The use of patient-reported outcome measures to improve patient-related outcomes – a systematic review by Joshua M. Bonsel, Ademola J. Itiola, Anouk S. Huberts, Gouke J. Bonsel, Hannah Penton

“…Abstract Background Patient-reported outcome measures (PROMs) provide invaluable information on patients’ health outcomes and can be used to improve patient-related outcomes at the individual, organizational and policy levels. …”
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Modelling and simulation of the block pouring construction system considering spatial–temporal conflict of construction machinery in arch dams by Zhipeng Liang, Jiayao Peng, Chunju Zhao, Huawei Zhou, Dongfeng Li, Yihong Zhou, Quan Liu, Xiaodong Li, Cheng Zhang, Fang Wang

“…And the reasonable unloading point planning and mechanical trajectory setting can effectively reduce the risk of spatial–temporal conflict. …”
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Unsupervised Feature Selection via a Dual-Graph Autoencoder with <inline-formula><math display="inline"><semantics><mrow><msub><mi mathvariant="bold-script">l</mi><mrow><mn mathvar... by Zhichao Song, Meiling Chen, Liang Xie, Xi Fang

“…While such data contain abundant information, they are often accompanied by substantial noise, high redundancy, and complex intrinsic structures, posing significant challenges for analysis and modeling. …”
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Exploring replay by Georgy Antonov, Peter Dayan

“…They therefore need to explore. However, the algorithmic structure of exploratory choices in the brain still remains largely elusive. …”
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Deep Reinforcement Learning for Efficient Scheduling of Ground-based Astronomical Observations by Hai Cao, Shaoming Hu, Junju Du, Xu Chen, Shuqi Liu, Shuai Feng, Bo Zhang, Yuchen Jiang

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Possibilities of instrumental methods of diagnosis in choice of the treatment tactics in women–patients, suffering varicose dilation of the lower extremities and pelvic veins by О. E. Shved, О. І. Nabolotnyi, Yu. М. Hupalo, V. G. Gurianov

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A typical scenario generation method for renewable energy power systems based on time-sequenced operational simulations by PENG Zhuyi, SONG Shan, XU Sixuan, GU Kanghui, GE Yi, WANG Quanquan, SUN Wentao

“…Traditional clustering methods based on source-load information struggle to accurately describe the time-sequenced operational characteristics of renewable energy power systems. …”
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Visual analysis of multi-subject association patterns in high-dimensional time-varying student performance data by Lianen Ji, Ziyi Wang, Shirong Qiu, Guang Yang, Sufang Zhang

“…MAPVis consists of two stages: in the first stage, we extract students’ learning patterns and further introduce mutual information to explore the distribution of learning patterns; in the second stage, various learning patterns and subject attributes are integrated based on a hierarchical apriori algorithm to achieve a multi-subject interactive exploration of the association patterns among students, courses, and teachers. …”
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Travel Time Prediction of Urban Agglomeration Significance Channel: A Case Study on the Cross-Hangzhou Bay Channel by Wang Yu, Hu Xiaowei, Cui Shu, Rao Zonghao

“…These findings offer valuable insights for optimizing traffic management, informing infrastructure planning, and enhancing the efficiency of major transportation corridors in urban agglomerations.…”
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Exploring the Citywide Human Mobility Patterns of Taxi Trips through a Topic-Modeling Analysis by Hui Xiong, Kaiqiang Xie, Lu Ma, Feng Yuan, Rui Shen

“…Understanding human mobility patterns is of great importance for a wide range of applications from social networks to transportation planning. Toward this end, the spatial-temporal information of a large-scale dataset of taxi trips was collected via GPS, from March 10 to 23, 2014, in Beijing. …”
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Identifying where and when urban renewal occurs: a continuous change detection-based framework using two decades’ worth of Landsat data by Chong Liu, Qi Zhang, Huabing Huang, Hanzeyu Xu, Xiao Cheng

“…Here we developed a 30 m city-scale urban renewal mapping framework with the use of dense Landsat time-series information. By leveraging the Continuous Change Detection and Classification (CCDC) algorithm, we designed a decision tree model to identify pixels experiencing urban renewal and utilized the temporal contextual knowledge to estimate temporal metrics, including start time (ST), end time (ET), and duration (DUR). …”
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Creating prognostic systems for cancer patients: A demonstration using breast cancer by Mathew T. Hueman, Huan Wang, Charles Q. Yang, Li Sheng, Donald E. Henson, Arnold M. Schwartz, Dechang Chen

“…Abstract Integrating additional prognostic factors into the tumor, lymph node, metastasis staging system improves the relative stratification of cancer patients and enhances the accuracy in planning their treatment options and predicting clinical outcomes. …”
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VTWSAR: A Fast Calculation Method for Visible Time Window of SAR Satellite to Regional Target by Xin Shi, Wenjie Xing, Huitao Liu, Yanxue Wang, Mengdao Xing

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Investigation of Spatio-Temporal Simulation of Mining Subsidence and Its Determinants Utilizing the RF-CA Model by Jikun Xu, Chaode Yan, Baowei Zhang, Xuanchi Chen, Xu Yan, Rongxing Wang, Binhang Yu, Muhammad Waseem Boota

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COVID-19 as a cause of chronic pulmonary hypertension: pathophysiological rationale and potential of instrumental investigations by E. Kobelev, T. A. Bergen, A. R. Tarkova, O. Ya. Vasiltseva, O. V. Kamenskaya, V. Yu. Usov, A. M. Chernyavsky

“…A thoroughly, purposefully collected anamnesis, pulmonary function tests and stress echocardiography in an ambiguous clinical situation will play a leading role as they identify cardiopulmonary disorders and provide the doctor with basic information for further planning of patient management.…”
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Exploring stroke risk factors in different genders using Bayesian networks: a cross-sectional study involving a population of 134,382 by Liqin Linghu, Yaxin Huang, Lixia Qiu, Xuchun Wang, Jia Zhang, Lin Ma, chenglian Li, Lijie Wang

“…Abstract Background The exploration of stroke risk factors provides crucial information for healthcare planning and priority setting. …”
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Evaluating a digital prehabilitation tool in patients with colorectal surgery: protocol for a multisite randomised controlled trial by George J Chang, Emily Finlayson, Cindy Kin, Kelsey Ogomori, Jeanette Broering, Camille Rogine

“…Our study population is individuals aged 65 and older with planned colorectal cancer resection who are proficient in English and have home internet access. …”
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Comprehensive analysis of mRNA and lncRNA expression for predicting lymph node metastasis in cervical cancer: a novel seven-gene signature approach by Jiahui Wei, Ming Wang, Yumei Wu

“…This study aimed to develop a clinically actionable molecular signature to predict LNM, enabling personalized surgical planning and improved patient outcomes.MethodsTranscriptome profiles and clinical data from 193 CC patients, encompassing information on LNM from The Cancer Genome Atlas (TCGA) and an external cohort (GSE26511), were analyzed. …”
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