Vaccine hesitancy among health paraprofessionals: A mixed methods study. by Madeline Hergott, Michael Andreski, John Rovers

“…<h4>Objective</h4>The objective of this project was to survey health care paraprofessionals to explore their thoughts and opinions about vaccines in general, and Covid-19 vaccines specifically.<h4>Methods</h4>This was a 25 question, mixed methods, cross sectional email survey. …”
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Model split-based data privacy protection method for federated learning by CHEN Ka

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PSTR: A Test Case Reuse Method Based on Path Similarity by Xinyue Xu, Sinong Chen, Zhonghao Guo, Xiangxian Chen

“…For evaluation, a custom dataset derived from LeetCode problem solutions was used, and the PSTR method was compared with the classical ATR (All Test case Reuse) method. …”
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In Situ Stress Prediction in Subsurface Rocks: An Overview and a New Method by Yushuai Zhang, Shangxian Yin, Jincai Zhang

“…Methods for determining in situ stresses are reviewed, and a new approach is proposed for a better prediction of the in situ stresses. …”
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Comparison of Parametric and Nonparametric Methods for Analyzing the Bias of a Numerical Model by Isaac Mugume, Charles Basalirwa, Daniel Waiswa, Joachim Reuder, Michel d. S. Mesquita, Sulin Tao, Triphonia J. Ngailo

“…It is recommended to integrate parametric and nonparametric methods along with graphical methods for a comprehensive analysis of bias of a numerical model.…”
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Pixel-Level Non-Local Method-Based Depth Image Inpainting by Xiaoya Dai, Yingkun Hou, Shuqi Zhang, Hao Hou, Bin Feng, Tao Lin, Mengyu Liu

“…However, during the generation of depth images, some important information may be lost in the form of pieces, which can seriously impact subsequent applications, such as computer vision. Existing methods attempt to apply traditional image restoration methods for filling the lost areas in depth images have proven ineffective in inpainting the structural information in the scene. …”
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COMPILATION METHOD AND EXPERIMENTAL STUDY OF GRINDING MACHINE SPINDLE LOAD SPECTRUM by CHI YuLun, LI HaoLin

“…With high precision grinding technology development,the requirement for machine tool reliability is higher and higher.The load spectrum of grinding is key scientific basis of building the grinding machine spindle reliability experiment platform.Based on bearing ring machine tool grinding process,the load spectrum signal characteristic and processing method is studied through long time grinding spindle load measurement,recoding and analysis.Then,the compilation method is provided to get load spectrum.At last,the programmed load spectrum for "idle-grinding-idle"is drawn,which is consistent with real field load.It provide the loading condition and theory basis for grinding machine tool spindle reliability experiment,and also is very important to improve machine tool spindle design.…”
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Application of environmental bacteria as potential methods of azo dye degradation systems by G. Manjarrez Paba, R. Baldiris Ávila, D. Baena Baldiris

“…<br /> <strong>METHODS:</strong> The topic to be addressed was first defined through workshops with the research group. …”
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Intelligent task-oriented semantic communication method in artificial intelligence of things by Chuanhong LIU, Caili GUO, Yang YANG, Chunyan FENG, Qizheng SUN, Jiujiu CHEN

“…With the integration and development of Internet of things (IoT) and artificial intelligence (AI) technologies, traditional data centralized cloud computing processing methods are difficult to effectively remove a large amount of redundant information in data, which brings challenges to the low-latency and high-precision requirements of intelligent tasks in the artificial intelligence of things (AIoT).In response to this challenge, a semantic communication method oriented to intelligent tasks in AIoT was proposed based on the deep learning method.For image classification tasks, convolutional neural networks (CNN) were used on IoT devices to extract image feature maps.Starting from semantic concepts, semantic concepts and feature maps were associated to extract semantic relationships.Based on the semantic relationships, semantic compression was implemented to reduce the pressure of network transmission and the processing delay of intelligent tasks.Experimental and simulation results show that, compared with traditional communication scheme, the proposed method is only about 0.8% of the traditional scheme, and at the same time it has higher classification task performance.Compared with the scheme that all feature maps are transmitted, the transmission delay of the proposed method is reduced by 80% and the effective accuracy of image classification task is greatly improved.…”
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Adaptive Mixed-Attribute Data Clustering Method Based on Density Peaks by Shihua Liu

“…In this algorithm, we used the unified distance metric of mixed-attribute data to construct the distance matrix, calculated the local density based on K-nearest neighbors, and proposed the automatic determination method of cluster centers based on three inflection points. …”
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Optimization Design of Mixed Discrete Variable based on Variable Transformation Method by Lian Qinghui, Lan Zhaohui

“…The deficiency of mixed discrete variables for the current optimal design is analyzed.A variable transformation method for mixed discrete variables is proposed,that is nominal variables are set,and software or algorithm of continuous variables could be called for mathematical model.The variables transformation program is written according to their relationship with real variables.Then,the nominal variables are put into the objective function and constraint condition,and the optimal solution is got.The variables of the optimal solution and real variables have the same type,so,it needn’t to be rounded and ensured the accuracy of the optimization.The variable transformation method is applied into optimization design of spur gear transmission,and compared with the existent ordinary optimization methods.The obtained results show that the variable transformation method is simple and feasible and the optimum solution of the variable transformation method is superior to solutions of other algorithm.…”
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A Novel Coherence Reduction Method in Compressed Sensing for DOA Estimation by Jing Liu, ChongZhao Han, XiangHua Yao, Feng Lian

“…A novel method named as coherent column replacement method is proposed to reduce the coherence of a partially deterministic sensing matrix, which is comprised of highly coherent columns and random Gaussian columns. …”
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Conflict Consulting Clinic as a Method of Practical Training of Humanities Students by A. I. Strebkov, A. N. Sunami

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Flexural Properties of Steel-Bamboo Composite Slabs in Different Connection Methods by Hui Zhong, Qifeng Shan, Jialiang Zhang, Xiaocun Zhang, Yushun Li

“…The result showed that specimens employed multiple composite methods (RCBS) exhibited excellent flexural bearing capacity and stiffness compared with PBS. …”
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Joint channel and impulsive noise estimation method for MIMO-OFDM systems by Xinrong LYU, Youming LI, Qiang GUO

“…Aiming at the impulsive noise occurring in MIMO-OFDM systems， a joint channel and impulsive noise estimation method based on the multiple measurement vector compressed sensing theory was proposed.The channel impulse response and the impulsive noise were combined to form a row sparse matrix to be estimated， and a multiple measurement vector compressed sensing model based on all subcarriers was constructed.As the measurement matrix was partially unknown due to the presence of unknown transmitted symbols in data tones， the multiple response sparse Bayesian learning theory and expectation maximization framework were adopted to jointly estimate the channel impulse response， the impulsive noise， and the data symbols which were regarded as unknown parameters.Compared with the existing methods， the proposed method not only utilizes all subcarriers but also does not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed method achieves significant improvement on the channel estimation and bit error rate performance.…”
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Context-aware learning-based access control method for power IoT by Zhenyu ZHOU, Zehan JIA, Haijun LIAO, Xiongwen ZHAO, Lei ZHANG

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A human-machine integrated optimization method for long walkway space by Yating Wang, Zijun Wang, Hui Wang

“…After further refinement through manual comparison, the rationality of the results is improved, achieving optimization effects based on the previous layouts. In the future, this method can be promoted to other areas and application scenarios within urban design and planning, demonstrating significant potential for development.…”
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Architecture of urban pavements. Multi-scale and digital methods for an ecological transition by Spartaco Paris, Elisa Pennacchia, Carlo Vannini

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Simulation of continuously deforming parabolic problems by Galerkin finite-elements method by Yahia S. Halabi

“…The method is quite general and applicable for a variety of problems involving transition zones and deforming regions, and can be applied for one multidimensional problems.…”
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Improved voltage transfer method for lithium battery string management chip by Kai‐Kai Wu, Hong‐Yi Wang, Chen Chen, Tao Tao, You‐You Fan, Hao Zhang, Yu‐Xin Liu

“…Abstract In order to cut the costs and overcome the leakage current of batteries caused in traditional method, this study introduces an improved voltage transfer method for lithium battery string management chip. …”
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