Homeostatic model and job-organization related factors as predictors of subjective wellbeing of Mizan-Tepi university teachers by Michael Emru adesse

“…A sample of 162 teachers participated in this study by responding to questionnaires that included measures of the abovementioned variables. Hierarchical linear regression was used to test the hypotheses. …”
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Prediction of COVID-19 Pandemic in Bangladesh: Dual Application of Susceptible-Infective-Recovered (SIR) and Machine Learning Approach by Iqramul Haq, Md. Ismail Hossain, Ahmed Abdus Saleh Saleheen, Md. Iqbal Hossain Nayan, Mafruha Sultana Mila

“…To identify the hotspot for COVID-19 in Bangladesh, we performed a cluster analysis based on the hierarchical k-means approach. A well-known epidemiological model named “susceptible-infectious-recovered (SIR)” and an additive regression model named “Facebook PROPHET Procedure” were used to predict the future direction of COVID-19 using data from IEDCR. …”
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Predicting Sensory and Affective Tactile Perception from Physical Parameters Obtained by Using a Biomimetic Multimodal Tactile Sensor by Toshiki Ikejima, Koji Mizukoshi, Yoshimune Nonomura

“…This perception process is structured in hierarchical layers comprising a sensory layer (soft and smooth) and an affective layer (comfort and luxury). …”
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Building a sustainable institutional model for ornamental fish farming export villages in Indonesia by Andiga Dompak B. Tarihoran, Musa Hubeis, Siti Jahroh, Nimmi Zulbainarni

“…This approach aims to ascertain the hierarchical prioritization of stakeholders and the requisite programme stages for achieving the success of the OFFEV initiative. …”
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Expanding Network Analysis Tools in Psychological Networks: Minimal Spanning Trees, Participation Coefficients, and Motif Analysis Applied to a Network of 26 Psychological Attribut... by Srebrenka Letina, Tessa F. Blanken, Marie K. Deserno, Denny Borsboom

“…Specifically, we suggest methods that provide clearer picture about hierarchical arrangement of nodes in the network, address heterogeneity of nodes in the network, and look more closely at network’s local structure. …”
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Determining the number and characteristics of rakija market segments based on consumer purchasing behavior by Adžić Slobodan, Ratković Milijanka C.

“…Furthermore, a twostep hierarchical cluster analysis utilizing Ward's method was carried out to identify the segments. …”
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Toward Intelligent Intrusion Prediction for Wireless Sensor Networks Using Three-Layer Brain-Like Learning by Jun Wu, Song Liu, Zhenyu Zhou, Ming Zhan

“…The proposed scheme exploits a novel three-layer brain-like hierarchical learning framework, tailors, and adapts it for WSNs with both performance and security requirements. …”
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A Fatigue Life Prediction Method for the Drive System of Wind Turbine Using Internet of Things by Hang Zhou, Shi-Jun Yi, Ya-Fei Liu, Yong-Quan Hu, Yong Xiang

“…In order to solve the above challenges, the fatigue life analysis and evaluation method considering the interaction of coupled multiple damages are proposed in this study. The hierarchical Bayesian theory with fault physics technology is introduced to deal with the uncertainty of wind turbine drive system. …”
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Intelligent Demand Response Resource Trading Using Deep Reinforcement Learning by Yufan Zhang, Qian Ai, Zhaoyu Li

“…In this paper, an intelligent DR resource trading framework between Disco and DRA is proposed by exploiting the benefits of deep reinforcement learning (DRL). The hierarchical decision process of the two players is modeled as a Stackelberg game. …”
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Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data by Yuxiong Ji, Jizhou Zhao, Zhiming Zhang, Yuchuan Du

“…In this study, we propose a hierarchical Bayesian model to estimate trip-level OD flow matrices and a period-level OD flow matrix using sampled OD flow data collected by Wi-Fi sensors and boarding data provided by fareboxes. …”
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Research on medical small sample data classification based on SMOTE and gcForest by Wenchang LIU, Yun WEI, Haoxuan YUAN, Yue GAO

“…Aiming at the problem of poor classification performance in traditional machine learning models caused by shallow model structure and complex data characteristics in small medical sample data, an combine multi- grained improved cascade forest (cgicForest) model was proposed.It enhances the representation learning ability of the model by adding random sampling into the multi-grained scanning and optimizing the transformation features.It also enhances the model's classification ability by updating the cascade forest’s hierarchical structure.Considering category imbalance problems in datasets, the safe-borderline-SMOTE (SBS) algorithm was proposed to dynamic interpolate around the few class samples belonging to the safety boundary, which can improve the quality of training data.The cgicForest was applied for training and learning, thus the SBS-cgicForest classification model was obtained which can support imbalanced medical small samples data.The model is used on three medical datasets for classification experiments.The results show that the performance indexes of the cgicForest model in the classification of medical small sample data with complex characteristics have increased by 4.1～5.4 percentage points, compared with the multi-grained cascade forest (gcForest) model.The performance indexes have increase by 6.6～11.2 percentage points after the combination with SBS algorithm, the F₁ score was 2～2.5 percentage points higher than that obtained by traditional sampling methods.It provides a reference for solving the classification problem of small medical sample data, and includes support for internet of things applications in smart medical scenarios.…”
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A Cluster-Head Rotating Election Routing Protocol for Energy Consumption Optimization in Wireless Sensor Networks by Jun Wang, Zhuangzhuang Du, Zhengkun He, Xunyang Wang

“…We discovered that the regular hierarchical clustering method and the scheme of cluster-head election area division had positive effects on reducing the energy consumption of cluster head election and intracluster communication. …”
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Epidermal Cells Expressing Putative Cell Markers in Nonglabrous Skin Existing in Direct Proximity with the Distal End of the Arrector Pili Muscle by N. Torkamani, N. W. Rufaut, L. Jones, R. Sinclair

“…Our findings, plus a reevaluation of the literature, support the hierarchical model of interfollicular epidermal stem cell units of Fitzpatrick. …”
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An Effective Pipeline for Training Variational Autoencoders for Synthesizable and Optimized Molecular Design by Fardeen H. Mozumder, Byung-Jun Yoon

“…To demonstrate its efficacy, we apply the framework to a hierarchical molecular generation model built on a VAE and show that the enhanced model can effectively produce diverse molecules with significantly improved synthesizability.…”
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Bacteroides expand the functional versatility of a conserved transcription factor and transcribed DNA to program capsule diversity by Jason Saba, Katia Flores, Bailey Marshall, Michael D. Engstrom, Yikai Peng, Atharv S. Garje, Laurie E. Comstock, Robert Landick

“…UpxZ binds non-cognate UpxYs to directly inhibit UpxY association. This UpxY-UpxZ hierarchical regulatory program allows Bacteroides to generate subpopulations of cells producing diverse CPSs for optimal fitness.…”
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MDCKE: Multimodal deep-context knowledge extractor that integrates contextual information by Hyojin Ko, Joon Yoo, Ok-Ran Jeong

“…To address this issue, this study introduces a Multimodal Deep-Context Knowledge Extractor (MDCKE) that generates hierarchical multi-scale images and captions from original images. …”
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Genetic improvement of cooking time in common bean: the role of dominance by Rita Carolina de Melo, Jefferson Luís Meirelles Coimbra, Luan Tiago dos Santos Carbonari, Paulo Henrique Cerutti, Altamir Frederico Guidolin

“…Regardless of the hierarchical variance model in the segregating families tested, the dominance component was at least twice as high as the additive variance fraction. …”
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Structure and Dynamic of Global Population Migration Network by Wensha Gou, Siyu Huang, Qinghua Chen, Jiawei Chen, Xiaomeng Li

“…The networks were embed into a Poincaré disk, yielding a typical and hierarchical “core-periphery” structure, which is associated with angular density distribution, and has been used to describe the “multicentering” trend since 1990s. …”
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Out-of-context misinformation detection method based on stance analysis by YUAN Xin, GUO Jie, QIU Weidong, HUANG Zheng

“…Subsequently, independent stance analysis networks were utilized to perform hierarchical clustering on both the image and visual evidence, as well as on the caption and textual evidence. …”
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ClinClip: a Multimodal Language Pre-training model integrating EEG data for enhanced English medical listening assessment by Guangyu Sun

“…The model leverages cognitive-enhanced strategies, including EEG-based modulation and hierarchical fusion of multimodal data, to overcome the challenges faced by traditional methods.Results and discussionExperiments conducted on four datasets–EEGEyeNet, DEAP, PhyAAt, and eSports Sensors–demonstrate that ClinClip significantly outperforms six state-of-the-art models in both Word Error Rate (WER) and Cognitive Modulation Efficiency (CME). …”
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