HSP70-Inducible hNIS-IRES-eGFP Reporter Imaging: Response to Heat Shock by Jiantu Che, Mikhail Doubrovin, Inna Serganova, Lyudmila Ageyeva, Tatiana Beresten, Ronald Finn, Ronald Blasberg

“…A retroviral vector pQHSP70/hNIS-IRES-eGFP (pQHNIG70) was constructed containing the hNIS-IRES-eGFP dual-reporter genes under the control of an inducible human heat shock protein (HSP)70 promoter and RG2-pQHSP70/hNIS-IRES-eGFP (RG2-pQHNIG70) transduced cells were generated. …”
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Location privacy protection method based on lightweight K-anonymity incremental nearest neighbor algorithm by Saite CHEN, Weihai LI, Yuanzhi YAO, Nenghai YU

“…The use of location-based service brings convenience to people’s daily lives, but it also raises concerns about users’ location privacy.In the k-nearest neighbor query problem, constructing K-anonymizing spatial regions is a method used to protects users’ location privacy, but it results in a large waste of communication overhead.The SpaceTwist scheme is an alternative method that uses an anchor point instead of the real location to complete the k-nearest neighbor query,which is simple to implement and has less waste of communication overhead.However,it cannot guarantee K-anonymous security, and the specific selection method of the anchor point is not provided.To address these shortcomings in SpaceTwist, some schemes calculate the user’s K-anonymity group by introducing a trusted anonymous server or using the way of user collaboration, and then enhance the end condition of the query algorithm to achieve K-anonymity security.Other schemes propose the anchor point optimization method based on the approximate distribution of interest points, which can further reduce the average communication overhead.A lightweight K-anonymity incremental nearest neighbor (LKINN) location privacy protection algorithm was proposed to improve SpaceTwist.LKINN used convex hull mathematical tool to calculate the key points of K-anonymity group, and proposed an anchor selection method based on it, achieving K-anonymity security with low computational and communication costs.LKINN was based on a hybrid location privacy protection architecture, making only semi-trusted security assumptions for all members of the system, which had lax security assumptions compared to some existing research schemes.Simulation results show that LKINN can prevent semi-trusted users from stealing the location privacy of normal users and has smaller query response time and communication overhead compare to some existing schemes.…”
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CS-FL: Cross-Zone Secure Federated Learning with Blockchain and a Credibility Mechanism by Chongzhen Zhang, Hongye Sun, Zhaoyu Shen, Dongyu Wang

“…To address these challenges, this paper proposes a cross-zone secure federated learning method with blockchain and credibility mechanism, named CS-FL. By constructing a dual-layer blockchain network and introducing a blockchain ledger between zone servers, CS-FL establishes a decentralized trust mechanism for index detection and model aggregation. …”
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Application of the Social Cognitive Theory amid food parenting practices of Black immigrant mothers in the US: A qualitative study. by Phoebe P Tchoua, Mary Brannock, Deborah Quesenberry

“…This study aimed to assess SCT's constructs, personal (maternal knowledge, attitudes, beliefs) and environmental factors (acculturation) in relation to the behavioral factor (food parenting practices) among a sample of Black immigrant mothers living in Metro Atlanta, Georgia.…”
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Influence of prolong curing, freeze thaw cycles on strength and compaction condition on water retention behaviour of bamboo biochar amended soils by Shailesh Kumar Yadav, Ramakrishna Bag

“…Geo-environmental structures constructed with biochar-amended soils (BAS) might experience a change in strength and water retention capacity due to extreme climactic changes, resulting in structural failures. …”
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Music and Rhymes as Mechanisms for ECCE Learners’ Socio-emotional Intelligence Development by Avosuahi Deborah Arasomwan, Glynnis Daries

“…These problems including absenteeism, depression, adolescent pregnancy, and suicide can be prevented by teaching children socio-emotional skills, which are the information, abilities, and attitudes needed to identify and control emotions, set and achieve constructive objectives, empathy for others, and maintaining wholesome social connections. …”
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Research Progress on Risk Assessment and Management and Control of Dike Engineering Danger by JIANG Shuihua, CHEN Yingxia, XIONG Wei, LI Yuwei, CHANG Zhilu, LI Jinhui, LI Wenhuan

“…The research results are expected to provide important ideas and theoretical support for scientifically revealing the disaster mechanism of dike engineering danger, putting forward a practical quantitative risk assessment method for dike engineering danger, and constructing a risk-based informatization and standardized information management and control system for dike engineering.…”
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The problem of teaching speech activities in a foreign language to international law students by A. Bochenkov, T. Ivanova

“…In the absence of a natural language environment, teachers should build the educational process in accordance with a reasonably constructed model of educational and professional communication. …”
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EDUCATIONAL COMPETENCE: THE ESSENCE AND PEDAGOGICAL MODEL OF FORMATION IN THE CONTEXT OF LIFELONG EDUCATION by N. A. Rybakina

“…The invariant structure of the theoretical construct “educational competence” is described and proved; this structure is considered as a basic unit of lifelong education and, under the unitary approach, provides consistent personal, cultural and professional development of a student at school, higher education institution and centers for additional education. …”
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Validation of a composite outcome measure for inpatient psychiatry using scales from the interRAI-MH by Howard E. Barbaree, Christopher Perlman, Elke Ham, Gregory P. Brown, John P. Hirdes

“…We used ROC analysis to evaluate the CIIMHS’s ability to predict discharge from the hospital. To evaluate construct validity, we examined the measure’s responsiveness to changes among patients after treatment in the hospital.ResultsWe found strong evidence for all four kinds of validity.ConclusionsThe composite measure represents a valid measure of inpatient mental health status and will serve as a valuable measure of the quality of care for inpatient psychiatry.…”
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Exploring the Influence of Lateral Conductivity Contrasts on the Storm Time Behavior of the Ground Electric Field in the Eastern United States by Elena Marshalko, Mikhail Kruglyakov, Alexey Kuvshinov, Benjamin S. Murphy, Lutz Rastätter, Chigomezyo Ngwira, Antti Pulkkinen

“…The external source responsible for the storm is constructed using a 3‐D magnetohydrodynamic (MHD) simulation of near‐Earth space. …”
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Sentimentally enhanced conversation recommender system by Fengjin Liu, Qiong Cao, Xianying Huang, Huaiyu Liu

“…To address these shortcomings, we propose an innovative Sentimentally Enhanced Conversation Recommender System (SECR). First, we construct a comprehensive and highly optimized knowledge graph, termed MAKG, which provides a rich and complete set of entities to help the model capture user preferences more holistically. …”
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Seasonal Influenza Vaccination Uptake Among Australian Healthcare Professionals: An Archetype for Success by Caroline M. Hall, Anthony Cotton, Adrian Webster, Mary Bushell, Holly L. Northam

“…Survey findings supported the HCP archetype, as key constructs were associated with vaccination intention and behaviour, including heightened professional responsibility, vaccine confidence, and protection of self and patients. …”
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The Psychometric Properties of Turkish Version of Depression Anxiety Stress Scale-21 (DASS-21) in Community and Clinical Samples by Hakan SARICAM

“…This paper presented the Turkish version of the Depression Anxiety Stress Scale-21 (DASS-21) in community and clinical samples, examined its psychometric properties. Construct validity and concurrent validity were conducted in validity studies. …”
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Research on floating object classification algorithm based on convolutional neural network by Jikai Yang, Zihan Li, Ziyan Gu, Wei Li

“…This study employs Convolutional Neural Network (CNN) to extract features of water surface floating objects and constructs the VGG16-15 model based on the VGG-16 architecture, capable of identifying 15 common types of water surface floatables. …”
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Vibration Analysis and Optimal Control of Hydraulic Turbine Based on Sliding Mode Control Strategy by Xiaoping Huang, Yaqiong Zhang, Wenzhe Huang

“…In this paper, a speed change method based on exponential rules is proposed on the basis of the traditional axial flow turbine model, and a coupling model of fuzzy sliding mode control of the turbine is constructed. A control strategy combining fuzzy logic and sliding mode is adopted to adjust the convergence speed according to the change of working conditions and working points by using mechanical power. …”
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CAT-RFE: ensemble detection framework for click fraud by Yixiang LU, Guanggang GENG, Zhiwei YAN, Xiaomin ZHU, Xinchang ZHANG

“…Click fraud is one of the most common methods of cybercrime in recent years, and the Internet advertising industry suffers huge losses every year because of click fraud.In order to effectively detect fraudulent clicks within massive clicks, a variety of features that fully combine the relationship between advertising clicks and time attributes were constructed.Besides, an ensemble learning framework for click fraud detection was proposed, namely CAT-RFE ensemble learning framework.The CAT-RFE ensemble learning framework consisted of three parts: base classifier, recursive feature elimination (RFE) and voting ensemble learning.Among them, the gradient boosting model suitable for category features-CatBoost was used as the base classifier.RFE was a feature selection method based on greedy strategy, which can select a better feature combination from multiple sets of features.Voting ensemble learning was a learning method that combined the results of multiple base classifiers by voting.The framework obtained multiple sets of optimal feature combinations in the feature space through CatBoost and RFE, and then integrated the training results under these feature combinations through voting to obtain integrated click fraud detection results.The framework adopted the same base classifier and ensemble learning method, which not only overcame the problem of unsatisfactory integrated results due to the mutual constraints of different classifiers, but also overcame the tendency of RFE to fall into a local optimal solution when selecting features, so that it had better detection ability.The performance evaluation and comparative experimental results on the actual Internet click fraud dataset show that the click fraud detection ability of the CAT-RFE ensemble learning framework exceeds that of the CatBoost method, the combined method of CatBoost and RFE, and other machine learning methods, proving that the framework has good competitiveness.The proposed framework provides a feasible solution for Internet advertising click fraud detection.…”
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London's Strand: From Pedestrianisation to Humanisation by Cristina Akemi Goldschmidt Kiminami, Stuart Dunn

“…Such spaces give rise to conceptual and intangible "labyrinths" constructed and mediated through people's individual experiences and through digital locative media. …”
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Predicting the Collisions of Heavy Vehicle Drivers in Iran by Investigating the Effective Human Factors by Hossein Naderi, Habibollah Nassiri, Farnaz Zahedieh

“…Then the descriptive model constructed by the SEM method was used as the basis of the BN, and the conditional probabilities of each node in the BN were calculated by the database collected by the field survey. …”
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Achyranthes bidentata Polysaccharide along with Anti-IL-5 Antibody Inhibits Allergic Lung Inflammation and Airway Hyperresponsiveness Mice Induced by House Dust Mites by Jian Sun, Shiwei Sheng, Gang Zhao

“…Besides this, ABPS is reported that can induce apoptosis of eosinophils by upregulating the expression of proteins involved in apoptosis. In this study, we constructed chronic allergic asthma mice model induced by house dust mites (HDM) with airway hyperresponsiveness (AHR) and found that anti-IL-5 mAb and ABPS treatment can both decrease inflammatory cells infiltration especially eosinophils and decrease the level of serum IgE and HDM-specific IgG1. …”
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