A Study on the Architectural Form and Characteristics of Tusi Manors in the Yunnan–Tibet Region by Yanwei Su, Man Li, Mengshuai Cheng, Mingli Qiang, Xuebing Zhou

“…By authenticating their prototypes and integrating regional construction practices, this study analyzed the architectural characteristics of these manors, including settlement mechanisms, site selection principles, courtyard layouts, architectural typologies, spatial configurations, and functional systems from an architectural perspective. …”
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Superfield twist-2 operators in N $$ \mathcal{N} $$ = 1 SCFTs and their renormalization-group improved generating functional in N $$ \mathcal{N} $$ = 1 SYM theory by Giacomo Santoni, Francesco Scardino

“…Specifically, we compute the generating functional of superfield twist-2 operators in N $$ \mathcal{N} $$ = 1 SU(N) SYM theory in the zero coupling limit. …”
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MODEL OF TAKEOFF AND LANDING OPERATIONS FOR CALCULATING OF AERODROME capacity by I. Yu. Agafonova, L. E. Rudelson, A. I. Stepanova

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Effect of microstructure differences on the thermal and mechanical behaviors of porous cementitious composites using phase change materials by Md Suman Mia, Satya Medepalli, Yuya Takahashi, Koichi Tsuchiya, Tetsuya Ishida

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Functional connectome integration observed after antispastic epidural cervical spinal cord stimulation in a patient with TBI-induced disorder of consciousness: a case report by Larisa Alexeevna Mayorova, Larisa Alexeevna Mayorova, Ekaterina Leonidovna Bondar, Margarita Leonidovna Radutnaya, Alexey Alexandrovich Yakovlev

“…To analyze fMRI, we used the extraction of functional connectivity coefficients and the construction of a connectivity matrixes. …”
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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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Rough decision rules extraction and reduction based on granular computing by Hong-can YAN, Feng ZHANG, Bao-xiang LIU

“…Rule mining was an important research content of data mining,and it was also a hot research topic in the fields of decision support system,artificial intelligence,recommendation system,etc,where attribute reduction and minimal rule set extraction were the key links.Most importantly,the efficiency of extraction was determined by its application.The rough set model and granular computing theory were applied to the decision rule reduction.The decision table was granulated by granulation function,the grain of membership and the concept granular set construction algorithm gener-ated the initial concept granular set.Therefore,attribute reduction could be realized by the distinguish operator of concept granule,and decision rules extraction could be achieved by visualization of concept granule lattice.Experimental result shows that the method is easier to be applied to computer programming and it is more efficient and practical than the existing methods.…”
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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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Predictors in the quality of life of the elderly: A systematic review by Melissa Sánchez Rodas, Arturo Enrique Orozco Vargas, Brenda Sarahi Cervantes Luna, María del Consuelo Escoto Ponce de León

“…The construct of quality of life (QoL) is closely related to population aging and to biological, psychological, social, and spiritual changes. …”
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Pre-design optimization of the manipulation system with hydraulic drive for mobile transport-technological machine by Lagerev I.A.

“…Also developed the original structure of a comprehensive objective function taking into account the additive effect of any number of important indicators of quality in the formation of the optimal variant of the de-signed construction. …”
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Analysis Method for Ground Settlement Induced by Ultra-Deep Excavation in Hangzhou Soft Clay Considering Time-Space Effect by XIONG Yifan, YING Hongwei, ZHANG Jinhong, CHENG Kang, LI Binghe

“…Then, the complementary error function and trilinear model were introduced. After that, the numerical results were used to correct the complementary error function. …”
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The STR Line-of-Sight Pointing and Acquisition in the Gravitational Wave Detection Interstellar Laser Link by Sibo Liang, Xin Zhao, Tong Wang, Cheng Han

“…The probability density distribution function of the uncertainty cone and the size of the uncertainty cone were determined based on the Monte Carlo simulation method. …”
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Cognitive Change Associated with Anesthesia and Surgery: An Introduction to POCD for Neuroscientists by Yang Li, Qiaoyi Peng, Jian Lu, Li Hu, Hongmei Zhou

“…In this paper, we review and summarize various factors that contribute to the development of POCD, including oxidative stress, autophagy, impaired synaptic function, and neuroinflammation, and describe the construction of animal models of POCD. …”
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Traction Drive Control System for Railway Electric Rolling Stock Based on the Application of Power Factor as an Optimization Criterion by Goolak S., Gorobchenko O., Holub H., Kulbovskiy I., Petrychenko O.

“…This will enable improved regulation quality in the construction of an optimal automatic control system for traction drives.…”
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COMMUNICATIVE AND PRAGMATIC PARAMETERS OF THE BLOG AS A GENRE OF PERSONAL INTERNET COMMUNICATION (BASED ON TEXTS BY LYUDMILA LINNYK ON THE WEBSITE “GALICIAN CORRESPONDENT”) by Nataliia Ya. Ivanyshyn

“…Connotationally and associatively coloured linguistic units act as keywords that are nodes of a concatenation of the semantic structure of the text, the starting point for the development of the topic; they are emotionally evaluative components capable of semantically expanding the text, giving it new semantic dimensions, reflecting the blogger’s position and his individualized vision of certain social problems. Parcelled constructions perform attractively and meaningful reinforcing functions, actualize the blogger’s speech intentions. …”
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LEGAL REGULATION OF FAMILY BUSINESS TAXATION AS A FACTOR OF ECONOMIC DEVELOPMENT by KURKINA NATALIA

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A Method for Predicting the Surface Subsidence Duration and the Maximum Subsidence Velocity by Yanjun Zhang, Fei Wang, Yueguan Yan, Yuanhao Zhu, Linda Dai, Jiayuan Kong

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Construction of Full‐Spectrum‐Response Bi3O4Br:Er3+@Bi2O3‐x S‐Scheme Heterojunction With [Bi─O] Tetrahedral Sharing by Integrated Upconversion and Photothermal Effect Toward Optimi... by Zhifeng Li, Liang Xu, Zhaoyi Yin, Junhao Ma, Xiaoyi Dong, Shangyong Wang, Zhiguo Song, Jianbei Qiu, Yongjin Li

“…The UC function of Er3+ and plasmon resonance effect of Bi2O3‐x greatly improves the utilization of sunlight. …”
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Mathematical model of the formation of cyclic and channel surfaces based on nonlinear rotation by K. L. Panchuk, T. M. Myasoedova, E. V. Lyubchinov

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Ecological space delineation and security analysis in the hilly areas of chongqing, China by Wenyou Han, Wenyou Han, Jie Lei, Jie Lei, Wei Wang, Wei Wang, Runxia Gao, Runxia Gao, Jinglian Tian, Jinglian Tian, Jinhong Wang, Jinhong Wang

“…Taking Chongqing, China as a case study, this paper systematically developed an special evaluation system for ecosystem sensitivity (ES) and ecosystem service function (ESF) in hilly and mountainous areas, utilizing various sources of data from the year 2022 to support the delineation of ecological space types (EST), and analyzing ecological pattern security issues in conjunction with the current land use status. …”
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