Settlement Behavior of Soft Subgrade Reinforced by Geogrid-Encased Stone Column and Geocell-Embedded Sand Cushion: A Numerical Analysis by Jia-Jun Gao, Hui Xu, Jian-Wen Qian, Yi-Fan Gong, Liang-Tong Zhan, Ping Chen

“…The geosynthetic-encased vertical column and geosynthetic-embedded horizontal cushion are recognized as the effective methods to reduce the settlement of the soft subgrade. This paper investigated the settlement behavior of a soft subgrade reinforced by geogrid-encased stone column and geocell-embedded sand cushion using the finite element analysis method (Plaxis 2D). …”
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VSRDiff: Learning Inter-Frame Temporal Coherence in Diffusion Model for Video Super-Resolution by Linlin Liu, Lele Niu, Jun Tang, Yong Ding

“…In particular, current DM-based VSR methods often neglect inter-frame temporal coherence and reconstruction-oriented objectives, leading to visual distortion and temporal inconsistency. In this paper, we introduce VSRDiff, a DM-based framework for VSR that emphasizes inter-frame temporal coherence and adopts a novel reconstruction perspective. …”
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Height Measurement Method for Meter-Wave Multiple Input Multiple Output Radar Based on Transmitted Signals and Receive Filter Design by Cong Qin, Qin Zhang, Guimei Zheng, Xiaolong Fu, He Zheng

“…To address the issue of low-elevation target height measurement in the Multiple Input Multiple Output (MIMO) radar, this paper proposes a height measurement method for meter-wave MIMO radar based on transmitted signals and receive filter design, integrating beamforming technology and cognitive processing methods. …”
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Le « jonglage » des visiteurs entre œuvres et cartels : de l’étude d’un comportement à l’application d’un principe muséographique. by Anne-Sophie Grassin

“…This is why, twenty years after its updating and definition, object-label juggling has guided the redesign of the written mediation of a national museum in Paris, the Musée de Cluny – Musée National du Moyen Âge, which was closed for twenty months for the renovation of its buildings and museographic itinerary. This paper will describe how the study of object-label juggling act has contributed to the change in attention to writing in the vicinity of works of art and the prospects for applied research that this makes possible.…”
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Coordination of natural and built infrastructure to better manage extreme events: a hydro-finance modeling framework by Hongkai Gao, Reepal Dinesh Shah, Dai Yamazaki, Theodore J Bohn, Glen Low, John Louis Sabo

“…Natural infrastructure offers a promising, soft-path solution to water security challenges; however, the scientific framework for siting and measuring the efficacy of such restoration projects is nascent. In this paper, we developed a hydro-finance modeling framework to analyze the impact of constructed wetlands on streamflow extremes and cash flow compared to a purely built, or hard path, infrastructure project. …”
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Water Quality Evaluation of the Middle and Lower Reaches of Hanjiang River Based on Comprehensive Water Quality Identification Index by MA Jingjiu, YU Ting, CHEN Yanfei, YAO Huaming, LI Yang

“…With the increase of water consumption for economic and social development in Hanjiang River Basin and the completion of middle route of South-to-North Water Diversion Project,the pressure of water ecological environment in the middle and lower reaches of Hanjiang River Basin is increased gradually.This paper selects five main water quality indexes, including ammonia nitrogen (NH₃-N),permanganate index (COD_Mn),dissolved oxygen (DO),biochemical oxygen demand for five days (BOD₅) and total phosphorus (TP) from five monitoring sections i.e.Shenwan,Yujiahu,Huangzhuang,Luohanzha and Shilou in the middle and lower reaches of Hanjiang River from 2001 to 2014,evaluates the water quality in the middle and lower reaches of Hanjiang River by single factor analysis,single factor index and comprehensive water quality identification index, and conducts quantitative analysis of the changing trend of comprehensive water quality in the middle and lower reaches of Hanjiang River with Spearman rank correlation coefficient. …”
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SambaMixer: State of Health Prediction of Li-Ion Batteries Using Mamba State Space Models by Jose Ignacio Olalde-Verano, Sascha Kirch, Clara Perez-Molina, Sergio Martin

“…Recently, Mamba selective state space models have emerged as a new sequence model that combines fast parallel training with data efficiency and fast sampling. In this paper, we propose SambaMixer, a Mamba-based model for predicting the SOH of Li-ion batteries using multivariate time signals measured during the battery’s discharge cycle. …”
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The formation and organization management of the "One Syndrome and One Product" construction work program (“一证一品”建设工作方案的形成与组织管理) by JI Yingxia (季英霞), CAO Yanxia (曹艳霞), WANG Jingyun (王静云), CHEN Yixiu (陈一秀), GAO Xinxia (高新霞), XU Huirong (许慧荣), WANG Donglan (王东兰)

“…This paper summarized the formation and organization management of the "One Syndrome and One Product" construction work program in a Traditional Chinese Medicine hospital. …”
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Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems by Qinqin Wang, Diarmuid Oreilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong

“…For transfer learning methods to work well, there should normally be homogeneity between source and target domains, or a high degree of overlap between the source and target items. In this paper we propose a novel transfer learning framework for mitigating the effects of sparsity and insufficient data. …”
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An Investigation Into a Lightweight Safety Helmet Detection Approach Utilizing the MSS-YOLO Framework by Bing Zeng, Zhanpeng Liao, Yu Zhou, Dilin He, Zhihao Zhou, Kexin Yi, Yuwen Li, Xiaopin Yang, Yunmin Xie

“…Motivated by the challenges of low detection accuracy, false positives, false negatives, and the excessive computational demand in safety helmet detection within complex power scenarios, this paper introduces a lightweight safety helmet object detection algorithm based on MSS-YOLO. …”
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Simulation of discrete control systems with parallelism of behavior by D. I. Cheremisinov, L. D. Cheremisinova

“…The aim of the work is to develop a method for simulating descriptions of such systems, which allows their behavior testing dynamically on the area limited by their possible functioning.Methods. The paper considers a class of control systems with parallelism of the processes occurring in them, which permits linearization of their execution. …”
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Quality of Life and Events in the First Year of Life. Results from the Prospective Copenhagen Birth Cohort 1959?61 by Søren Ventegodt, Trine Flensborg-Madsen, Niels Jørgen Andersen, Mohammed Morad, Joav Merrick

“…The objective of this paper was to explore the association between diverse factors occurring during the first year of a child?…”
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Summary and Prospect of Steel Slag Treatment Technology at the “Double Carbon” Goal by Yidang HAO, Huigang WANG, Long WU, Guibo QIU, Changsheng YUE, Ben PENG

“…The resource utilization of steel slag is closely related to its treatment technology. Based on this, this paper briefly introduces the primary treatment processes of steel slags, such as pressurized hot stuffy method, the atmospheric tank hot stuffy method, the drum method, etc., and focuses on the reduction and iron extraction of steel slag, the preparation of high value-added materials with steel slag as raw materials, and the waste heat recovery of high-temperature steel slag. …”
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Prediction of dynamic recrystallization behavior of SAE52100 large section bearing steel based on machine learning by Peiheng Ding, Changqing Shu, Shasha Zhang, Zhaokuan Zhang, Xingshuai Liu, Jicong Zhang, Qian Chen, Shuaipeng Yu, Xiaolin Zhu, Zhengjun Yao

“…Abstract This paper investigates the dynamic recrystallization characteristics of SAE52100 large section bearing steel under hot compression, focusing on both the center and surface. …”
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Enhancing generalization in a Kawasaki Disease prediction model using data augmentation: Cross-validation of patients from two major hospitals in Taiwan. by Chuan-Sheng Hung, Chun-Hung Richard Lin, Jain-Shing Liu, Shi-Huang Chen, Tsung-Chi Hung, Chih-Min Tsai

“…However, KD is frequently misdiagnosed as a common fever in clinical settings, and the inherent data imbalance further complicates accurate prediction when using traditional machine learning and statistical methods. This paper introduces two advanced approaches to address these challenges, enhancing prediction accuracy and generalizability. …”
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GPS Trajectory-Based Spatio-Temporal Variations of Traffic Accessibility under Public Health Emergency Consideration by Luqi Dong, Ying Lv, Huijun Sun, Danyue Zhi, Tingting Chen

“…Facing new public health events, the spatio-temporal variation of healthcare accessibility can be different, which is ignored in the previous accessibility studies. In this paper, we study the spatio-temporal variation of healthcare accessibility and residents’ accessibility to the designated hospitals under public health emergencies such as COVID-19. …”
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Sewage Sludge Amendment Combined with Green Manuring to a Coastal Mudflat Salt-Soil in Eastern China: Effects on Soil Physicochemical Properties and Maize Yield by Yanchao Bai, Wengang Zuo, Yiyun Yan, Chuanhui Gu, Yongxiang Guan, Lijuan Mei, Weijie Xue, Yuhua Shan, Ke Feng

“…However, the amending effect of the combination of sewage sludge with green manuring in reclaimed coastal mudflat salt-soil has been unclear yet. This paper was one of earlier studies to investigate and evaluate the effects of sewage sludge amendment combined with green manuring on selected soil physicochemical properties of the mudflat soil in a rain-fed agroecosystem. …”
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Expectation-Maximization Aided Modified Weighted Sequential Energy Detector for Distributed Cooperative Spectrum Sensing by Mohammed Rashid, Jeffrey A. Nanzer

“…For a highly dynamic PU over the consecutive sensing intervals, that involves also combining the outdated samples in the test statistic that do not correspond to the present state of the PU. In this paper, we propose a modified WSED (mWSED) that uses the primary user states information over the window to aggregate only the highly correlated ED samples in its test statistic. …”
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Intelligent lithium plating detection and prediction method for Li-ion batteries based on random forest model by Guangying Zhu, Jianguo Chen, Xuyang Liu, Tao Sun, Xin Lai, Yuejiu Zheng, Yue Guo, Rohit Bhagat

“…The study of intelligent machine learning-based lithium plating detection and warning algorithms for LIBs is of great importance. Therefore, this paper proposes an intelligent lithium plating detection and early warning method for LIBs based on the random forest model. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…Based on the comparison, this paper grouped the top seven ML models such as Neural Networks, Logistic Regression, Nave Bayes Classifier, Multilayer Perceptron, Support Vector Machine, BF Tree, Bayesian Networks algorithms and measured feature importance, and other, to justify the differences between classification models. …”
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