Recent advances in chitosan-based active and intelligent packaging films incorporated with flavonoids by Xuanzhuo Liu, Fengfeng Xu, Huimin Yong, Dan Chen, Chao Tang, Juan Kan, Jun Liu

“…These films, based on their functionality, can be divided into chitosan/flavonoid active packaging films and chitosan/anthocyanin (the glycosylated anthocyanidin) intelligent packaging films. This paper presents a comprehensive review on active and intelligent packaging films prepared from chitosan and different classes of flavonoids, with special attention being paid to the preparation, physical and functional properties, stabilization, and application of the films. …”
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Adaptation Practices of Young Central Asian Migrants in Tatarstan: A Socioanthropological Survey by Tatiana A. Titova, Vadim E. Kozlov, Elena V. Frolova

“…To facilitate this, the paper shall characterize the specifics of interaction between the former and locals, including some features of their language behavior. …”
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Numerical study of the plasticity effect on the behavior of short steel columns filled with concrete loaded axially by Yousria Boulmaali-Hacene Chaouche, Nadia Kouider, Kamel Djeghaba, Bachir Kebaili

“…Indeed, it has been demonstrated that the use of normal or high strength concrete, confined in a steel tube of circular shape can considerably improve its ductility as well as its load capacity, owing to the combination of the qualities of the two constituent materials; these tubes have an effortless execution, indeed, the concrete used in the CFST does not require formwork nor reinforcement, a durability of the two materials as well as a good behavior to fire, which was the effect desired at the origin of their elaboration. In this paper, we study the axial compression behavior of short circular steel tubes filled with concrete; their modelling will be performed using the ABAQUS/Standard calculation program. …”
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Application of the weighted histogram method for calculating the thermodynamic parameters of the formation of oligodeoxyribonucleotide duplexes by I. I. Yushin, V. M. Golyshev, D. V. Pyshnyi, A. A. Lomzov

“…Such high accuracy of computations is comparable with the accuracy of the experimental approach and of other methods for calculating the energy of NA duplex formation. In this paper, the use of WHAM for computation of the energy of DNA duplex formation was systematically investigated for the first time. …”
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Multi-step Prediction of Monthly Sediment Concentration Based on WPT-ARO-DBN/WPT-EPO-DBN Model by GAO Xuemei, CUI Dongwen

“…Accurate multi-step sediment concentration prediction is of significance for regional soil erosion control,flood control and disaster reduction.To improve the multi-step prediction accuracy of sediment concentration and the prediction performance of the deep belief network (DBN),this paper proposes a multi-step prediction model of monthly sediment concentration by combining the artificial rabbit optimization (ARO) algorithm,eagle habitat optimization (EPO) algorithm,and DBN based on wavelet packet transform (WPT).The model is validated using time series data of monthly sediment concentration from Longtan Station in Yunnan Province.Firstly,WPT is employed to decompose the time series data of the monthly sediment concentration of the case in three layers,and eight more regular subsequence components are obtained.Secondly,the principles of ARO and EPO algorithms are introduced,and hyperparameters such as the neuron number in the hidden layer of DBN are optimized by ARO and EPO.Meanwhile,WPT-ARO-DBN and WPT-EPO-DBN prediction models are built,and WPT-PSO (particle swarm optimization)-DBN and WPT-DBN are constructed for comparative analysis.Finally,four models are adopted to predict each subsequence component,and the predicted values are superimposed to obtain the multi-step prediction results of the final monthly sediment concentration.The results are as follows.① WPT-ARO-DBN and WPT-EPO-DBN models have satisfactory prediction effects on the monthly sediment concentration of the case from one step ahead to four steps ahead.This yields sound prediction results for five steps ahead.The prediction effect for six steps ahead and seven steps ahead is average,and the prediction accuracy for eight steps ahead is poor and cannot meet the prediction accuracy requirements.② The multi-step prediction performance of WPT-ARO-DBN and WPT-EPO-DBN models is superior to WPT-PSO-DBN models and far superior to WPT-DBN models,with higher prediction accuracy,better generalization ability,and larger prediction step size.③ ARO and EPO can effectively optimize DBN hyperparameters,improve DBN prediction performance,and have better optimization effects than PSO.Additionally,WPT-ARO-DBN and WPT-EPO-DBN models can give full play to the advantages of WPT,new swarm intelligence algorithms and the DBN network and improve the multi-step prediction accuracy of monthly sediment concentration,and the prediction accuracy decreases with the increasing prediction steps.…”
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The potential of stem cell therapy in Multiple Sclerosis treatment: a review by Sorina Amarculesei, Ava O'Meara Cushen, Cathy Brougham

“…This review reports stem cell-based therapies as potential therapeutic approaches in the treatment and management of Multiple Sclerosis. This paper explores the characterisation and aetiology of the disease, current treatments for Multiple Sclerosis, and clinical trial data that investigated the therapeutic safety and efficacy of proposed stem cell-derived Multiple Sclerosis treatments.…”
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Atorvastatin Improves Inflammatory Response in Atherosclerosis by Upregulating the Expression of GARP by Xiaoqi Zhao, Yuzhou Liu, Yucheng Zhong, Bo Liu, Kunwu Yu, Huairui Shi, Ruirui Zhu, Kai Meng, Wei Zhang, Bangwei Wu, Qiutang Zeng

“…The antiatherosclerosis effects of statins partly depend on their multiple immune modulatory potencies. In this paper, we present that atorvastatin could upregulate the expression of GARP and TGF-β in CD4+ T cells and increase the numbers of CD4+LAP+ and CD4+Foxp3+ regulatory T cells in ApoE−/− mice. …”
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Alkaloids of narrow-leaved lupine as a factor determining alternative ways of the crop’s utilization and breeding by M. A. Vishnyakova, A. V. Kushnareva, T. V. Shelenga, G. P. Egorova

“…In this regard, it seems to be a productive idea to create ‘bitter/sweet’ varieties combining a high content of alkaloids in the vegetative organs and low in seeds, which can be achieved by regulating the synthesis/transport of alkaloids in the plant. The paper discusses the current state of use of the species as a green manure, fodder, food plant. …”
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Mathematical modeling of quorum sensing dynamics in batch culture of luminescent bacterium <i>Photobacterium phosphoreum</i> 1889 by S. I. Bartsev, A. B. Sarangova

“…At the beginning of the paper, the level of necessary phenomenology of complex models is discussed. …”
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Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion by Raul Criado, Wantao Li, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

“…This paper explores the benefits of utilizing multistage cascaded (CC) behavioral models for digital predistortion (DPD) linearization of wideband high-efficiency power amplifiers (PAs). …”
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Research progress of peripherally inserted central catheter-associated thrombosis in cancer patients (肿瘤患者经外周静脉置入中心静脉导管相关性血栓的研究现状)... by CAI Aini (蔡爱旎), HONG Hanhan (洪涵涵), LU Jiaojiao (卢姣姣), JI Dandan (季丹丹)

“…This paper reviewed the studies on peripherally inserted central catheter(PICC)-associated thrombosis in cancer patients, and briefly discussed the period of high incidence of thrombosis, clinical features, risk factors and nursing interventions. …”
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Gel–sol synthesis of hierarchical CaO using pollen as biotemplate for biodiesel production by Zheng, Jingdi, Tao, Shuang, Yang, Ying, Tang, Ying

“…In this paper, a novel hierarchical calcium-based catalyst marked as CaO(S) has been established to catalyze oil-methyl acetate-methanol for no-glycerol biodiesel production. …”
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Supporting Smart Manufacturing in the Space Industry: A Case Study by Ala Arman, Andrea Lombardo, Flavia Monti, Massimo Mecella

“…Leveraging Industry 4.0 technologies like the Internet of Things (IoT) and Big Data analytics show great potential for improving the manufacturing, assembly, integration, and testing (MAIT) cycle. This paper focuses on how Industry 4.0 principles enhance data analysis and automation in space manufacturing, illustrated through a case study at an aerospace company, with a focus on the composite sandwich panel manufacturing line. …”
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Drivers’ Braking Behaviors in Different Motion Patterns of Vehicle-Bicycle Conflicts by Lian Hou, Jingliang Duan, Wenjun Wang, Renjie Li, Guofa Li, Bo Cheng

“…The AEB (Autonomous Emergency Braking) systems have been developed to avoid collisions, but their adaptiveness needs to be further improved under different motion patterns of V-B conflicts. This paper analyzes drivers’ braking behaviors in different motion patterns of V-B conflicts to improve the performance of Bicyclist-AEB systems. …”
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Three-Dimensional Numerical Simulation of Fracture Extension in Conglomerate Fracturing Considering Pore-Fracture Seepage and Study of Influencing Factors by Zehao Xu, Haiyang Zhao, Xiangjun Liu, Lixi Liang, Pandeng Luo

“…Considering the limitations of physical experiments and two-dimensional (2D) numerical modeling, this paper adopts the continuum-discontinue element method (CDEM) to carry out numerical simulation of three-dimensional (3D) conglomerate fracturing considering pore-fracture seepage. …”
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Long-term spatiotemporal features of aerosol optical characteristics and relative humidity in China’s offshore areas by Jie He, Zhao Li, Linyu He, Jian Wang, Weiping Jiang

“…However, there is a lack of analysis on the long-term aerosol optical characteristics and relative humidity (RH) based on large-scale ocean regions. This paper addresses this issue by analyzing the spatiotemporal variations of aerosols in China’s offshore waters from 2007 to 2022 using Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) and European Centre of Medium-range Weather Forecasts Reanalysis v.5 (ERA5) data. …”
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A durability- based design approach for structural applications with advanced cement-based materials by Francesco Soave, Liberato Ferrara

“…The poor durability of existing reinforced concrete structures has shown that current approaches to tackle this issue in the overall structural design framework fail to guarantee an adequate level of safety for structures over the intended service life. In this paper, the prescriptive approach recommended by national and international codes, which guides mix-design and minimum cover thickness, is replaced by a performance design based on durability. …”
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Andrias davidianus bone peptides alleviates hyperuricemia-induced kidney damage in vitro and in vivo by Wei Li, Haihong Chen, Hongliang Chen, Ziyin Li, Wei Hu, Qinxuan Zhou, Bing Xu, Yi Wang, Xinhui Xing

“…Hyperuricemia (HUA) is a vital risk factor for chronic kidney diseases (CKD) and development of functional foods capable of protecting CKD is of importance. This paper aimed to explore the amelioration effects and mechanism of Andrias davidianus bone peptides (ADBP) on HUA-induced kidney damage. …”
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Cypress Copilot: Development of an AI Assistant for Boosting Productivity and Transforming Web Application Testing by Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur, Likhit Sagar Gajja

“…Our study addresses the challenges of developing and maintaining automation code for web-based application testing. In this paper, we propose a novel approach that leverages large language models (LLMs) and a novel prompt technique, few-shot chain, to automate code generation for web application testing. …”
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System Design for a Prototype Acoustic Network to Deter Avian Pests in Agriculture Fields by Destiny Kwabla Amenyedzi, Micheline Kazeneza, Ipyana Issah Mwaisekwa, Frederic Nzanywayingoma, Philibert Nsengiyumva, Peace Bamurigire, Emmanuel Ndashimye, Anthony Vodacek

“…Crop damage attributed to pest birds is an important problem, particularly in low-income countries. This paper describes a prototype system for pest bird detection using a Conv1D neural network model followed by scaring actions to reduce the presence of pest birds on farms. …”
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