The role of the STING inflammatory pathway in hepatic damage in psoriasis with type 2 diabetes mellitus by Shulin Huang, Kun Xie, Xiaohong Li, Xiangjin Xu, Pin Chen

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Correlation between the Compressive, Tensile Strength of Old Concrete under Marine Environment and Prediction of Long-Term Strength by Weilai Yao, Shiyong Jiang, Wei Fei, Tao Cai

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Ecological inspirations for the Tourism Area Life Cycle (TALC) model by Wojciech Szeligiewicz

“…Such a course was adopted in the TALC model, assuming that the tourist population at this stage develops in accordance with a logistic model derived from ecology. This work aimed to recall the properties of the logistic model and the ecological assumptions underlying it, and some of the consequences of incorporating the logistic model into the TALC model. …”
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Antiknock Performance of Interlayered High-Damping-Rubber Blast Door under Thermobaric Shock Wave by Xiudi Li, Chaoyang Miao, Qifan Wang, Zhengang Geng

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Analysis of Intelligent Translation Systems and Evaluation Systems for Business English by Jianhong Chen

“…In order to improve the accuracy of automatic translation of business English, an optimized design of business English translation teaching platform is proposed based on the logistic model combined with deep learning. After using the logistic model to analyze the semantic features of business English translation, the deep learning model is used to segment and mine English images, and the automated lexical feature analysis of business English translation is carried out by using contextual feature matching and adaptive semantic variable finding methods to extract the amount of correlation features between words and vocabulary and to correct the differences in translation in a specific business context to improve the accuracy of English translation. …”
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Simulation of Novel NEMS Contact Switch Using MRTD with Alterable Steps by Wen-Ge Yu, Kang-Qu Zhou, Zheng-Zhong Wu, Ting-Hong Yang, Jing Zhao

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Ensemble Classification Approach for Sarcasm Detection by Jyoti Godara, Isha Batra, Rajni Aron, Mohammad Shabaz

“…In the third ensemble model (MLD), MLP, logistic regression, and decision tree are combined, and the last one (SLM) is the combination of MLP, logistic regression, and SVM. …”
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Diagnostic Model of In-Hospital Mortality in Patients with Acute ST-Segment Elevation Myocardial Infarction Used Artificial Intelligence Methods by Yong Li

“…The AUC of logistic regression in the training set, the test set, and the validation data set was 0.77, 0.78, and 0.8, respectively. …”
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Predicting child mortality determinants in Uttar Pradesh using Machine Learning: Insights from the National Family and Health Survey (2019–21) by Pinky Pandey, Sacheendra Shukla, Niraj Kumar Singh, Mukesh Kumar

“…Four machine learning algorithms—Random Forests, Logistic Regression, K-Nearest Neighbors (KNN), and Naive Bayes—were applied alongside a traditional logistic regression model. …”
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Risk Factors and Predictive Model for Disseminated Intravascular Coagulation in Patients with Multiple Myeloma by Rong Bao MM, Mengtong Fan MM, Min Hu MM, Ling Li BD,   Hasichaolu BD

“…The predictive power of the logistic regression model was evaluated using receiver operating characteristic (ROC) curve analysis. …”
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SQLite Encryption Method for Embedded Databases Based on Chaos Algorithm by Junlong Shi

“…This research mainly focuses on the encryption technology of SQLite embedded database and proposes an improved sparrow algorithm (Logistic Chaos Sparrow Search Algorithm, LCSSA) based on Logistic Chaos Map. …”
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An Experimental Realization of a Chaos-Based Secure Communication Using Arduino Microcontrollers by Mauricio Zapateiro De la Hoz, Leonardo Acho, Yolanda Vidal

“…The input message signal is modulated using a simple Delta modulator and encrypted using a logistic map. The key signal is also encrypted using the same logistic map with different initial conditions. …”
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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“…Thus, this study provides insight into the use of Naive Bayes Classifier algorithm and SMOTE technique in MBTI personality prediction, with potential performance improvement through the use of Logistic Regression algorithm. …”
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Experimental Study on Bond-Slip Behavior between H-Shaped Steel and Gypsum Cover in SGFCG by Tao Sun, Kejian Ma, Zhihua Chen, Jin Chen, Yuhao Zhu

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Research on discrete differential solution methods for derivatives of chaotic systems by Xinyu Pan

“…This study delves into the distinctive features of discrete differential parameters within three typical chaotic systems: the logistic map, the henon map, and the tent map. A pivotal discovery emerges: both the mean value of the first-order continuous and discrete derivatives in the logistic map coincide, mirroring a similar behavior observed in the henon map. …”
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Motion Planning of Redundant Manipulators for Painting Uniform Thick Coating in Irregular Duct by Yan Chen, Wenzhuo Chen, Ken Chen, Bo Li

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Using Machine Learning Algorithm to Describe the Connection between the Types and Characteristics of Music Signal by Bo Sun

“…The music classifier and deep belief network machine learning models in shallow logistic regression are established, respectively. …”
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Noise Reduction Analysis of Radar Rainfall Using Chaotic Dynamics and Filtering Techniques by Soojun Kim, Huiseong Noh, Narae Kang, Keonhaeng Lee, Yonsoo Kim, Sanghun Lim, Dong Ryul Lee, Hung Soo Kim

“…The analysis result for Logistic series clearly showed that KF is better tool than LF for removing the noise. …”
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Promotion of microfracture-mediated cartilage repair by the intra-articular injection of Mg2+ by Zhian Chen, Tianhua Zhou, Zhengbo Yin, Peiya Duan, Ying Zhang, Yujiao Feng, Rongmao Shi, Yongqing Xu, Rongqing Pang, Hongbo Tan

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Pairing regression and configurational analysis in health services research: modelling outcomes in an observational cohort using a split-sample design by Jason J Sico, Laura J Myers, Dawn M Bravata, Ying Zhang, Anthony J Perkins, Edward J Miech, Joanne Daggy

“…Configurational models optimise sensitivity with relatively few conditions. Logistic regression models discriminate cases from controls and provided inferential relationships between outcomes and independent variables.…”
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