Reproductive Potential and Population Growth of the Worm <i>Enchytraeus buchholzi</i> (Clitellata: Enchytraeidae) Under Laboratory Conditions as Well as Regression Models by Limin Zhao, Guilan Ma

“…The results indicated that (1) a parent adult of <i>E. buchholzi</i> was able to live for a period as long as 10 and 13 full generations at the two temperatures tested and lay 84.8 and 110.6 cocoons containing 545 and 714 eggs, respectively; (2) <i>DMC</i> reached its maximum between 7 and 9 days of rearing and then declined slowly along a straight regression line; (3) <i>CC</i> rose steadily along a quadratic curve; (4) both <i>EPC</i> and <i>DME</i> varied following a cubic curve; (5) <i>CE</i> increased steadily along a cubic curve; (6) the new polynomial models suitably reflected the numerical growth trends of cocoons and eggs in the F₁ generation in a broad sense, while corresponding derivative equations quantified both the daily reproductive potential and resistance of the worm, thus revealed its daily reproductive capacity; (7) <i>R</i>₀ was 41.2 <i>AE</i> at 21 °C and 42.5 <i>AE</i> at 18 °C when a population of <i>E. buchholzi</i> lived in a niche with unlimited ambient resources; (8) this kind of temporal population generated by individual reproduction had fully demonstrated its significant, generational reproductive potential; and (9), through living in such a limited area as the wet sandy dish, bypassing an exponential growth process, the laboratory population grew up along a logistic curve from the F₁ to F₃ generations. …”
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Using Social Media Platforms to Raise Health Awareness and Increase Health Education in Pakistan: Structural Equation Modeling Analysis and Questionnaire Study by Malik Mamoon Munir, Nabil Ahmed

“…MethodsThe study used two-stage structural equation modeling (SEM). Data analysis used AMOS 26.0 software, adopting scales from previous literature. …”
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Optimasi Model Extreme Gradient Boosting Dalam Upaya Penentuan Tingkat Risiko Pada Ibu Hamil Berbasis Bayesian Optimization (BOXGB) by Edi Jaya Kusuma, Ririn Nurmandhani, Lenci Aryani, Ika Pantiawati, Guruh Fajar Shidik

“…Meanwhile, the highest performance result achieved by the combination of BO and XGB (BOXGB) model where the proposed model reaches 87% of accuracy, followed by average value of precision, recall, and F1-score of 88%, 87%, and 88%, respectively. …”
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MemesViTa: A Novel Multimodal Fusion Technique for Troll Memes Identification by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Saad Aldosary, Walid El-Shafai

“…In this research, we propose MemesViTa, a novel multimodal fusion model that combines Vision Transformer (ViT) for image processing and DeBERTa for textual analysis, specifically designed to detect troll memes with high accuracy. …”
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Determining the Strategies on Turkish Automotive Sector Using Fuzzy AHP Based on the SWOT Analysis by Buket Karatop, Cemalettin Kubat, Özer Uygun

“…In SFM, the views of stakeholders andstrategists are input into the decision making process. The main criteria of aproblem establish the mainframe of the model, and these criteria are utilizedin SWOT analysis. …”
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New calculation model and application research on weak water-flushed zones distribution prediction in radial flow well patterns of heterogeneous oil reservoirs. by Mengyun Li, Guicai Zhang, Haihua Pei, Ping Jiang, Liu Yang

“…Under the oil field's model conditions, when the permeability ratio exceeds 2.4, weak water-flushed zones exist in the low-permeability layers when the water cut reaches 98%. …”
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Improved performance indicators and institutional setup for more viable compost production from municipal solid waste in Sri Lanka by A. Manipura, P. Drechsel, H.M.L.C. Jayawardhana, R. Shanmugapriya, N.R. Mannapperuma, H.S.I. Jayatilleke

“…However, to address institutional and human capacity challenges an institutional partnership model is also proposed, which could incentivize the implementation and achievements of the KPIs while reducing the pressure on LAs to reach the compost market.…”
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Three-Dimensional Refined Numerical Modeling of Artificial Ground Freezing in Metro Cross-Passage Construction: Thermo-Mechanical Coupling Analysis and Field Validation by Qingzi Luo, Junsheng Li, Wei Huang, Wanying Wang, Bingxiang Yuan

“…The refined numerical model accurately captures the mechanical response of soil during the freezing and thawing processes under realistic engineering conditions, with field monitoring data validating its effectiveness. …”
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Impact Response of Dam Affected by Landslide Surge Based on Improved SPH Method by Shuai HUANG, Zhonggen WANG, Yu LI, Yuxiang FENG

“…Current research typically employs rigid bodies to simulate the landslide surge process, but no studies have simultaneously modeled the landslide body as a particle system while achieving a complete simulation of the coupling between landslide surges and large-deformation structures.Methods In the calculation process, the interaction between the fluid and the deformable body is initially performed by calculating the particles of the deformable body. …”
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Τhe rational decision-making and the social responsibility in the optimal functioning of the school by Christos Kanavas, Sotiria Triantari

“…Meeting the requirements that influence the decision-making process and incorporating a suitable management model enables the principal to allow not only the school and staff but also students to reach their full potential. …”
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Measuring The Service Quality In Airline Companies by Birgül Küçük Çırpın, Didem Kurt

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Modeling Spawning Habitats of <i>Coreius guichenoti</i> with Substrate Considerations: A Case Study of Pingdi Town in the Lower Jinsha River by Wenchao Li, Dong Chen, Lekui Zhu, Tong Liu, Hanyue Wang, Litao Zhang, Rui Han, Zhi Yang, Jun Yan, Hongyi Yang, Anan Guo, Lei Liu

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Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example by Peng Zhang, Xinyang Liu, Huiru Zhang, Chengchun Shi, Gangfu Song, Lei Tang, Ruihua Li

“…The integrated WD-MIC data processing method shows promising potential in reducing model errors and lowering water monitoring costs by focusing on highly correlated variables.…”
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Modern Trends and Recent Applications of Hyperspectral Imaging: A Review by Ming-Fang Cheng, Arvind Mukundan, Riya Karmakar, Muhamed Adil Edavana Valappil, Jumana Jouhar, Hsiang-Chen Wang

“…In food processing, egg freshness prediction achieved R² = 91%, and pine nut classification reached 100% accuracy. …”
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On the formation of the framework model of the Specially Protected Natural Areas system in the regions within the Ural-Siberian sector of the steppe and forest-steppe zones by V. P. Petrishchev, E. А. Shcherbakova

“…The determination of model systems of Specially Protected Natural Areas is necessary to reach a balance between a comfortable and favorable environment for the life of the population and the protection of unique natural heritage. …”
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An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN by Juan Felipe Restrepo-Arias, María José Montoya-Castaño, María Fernanda Moreno-De La Espriella, John W. Branch-Bedoya

“…The accurate classification of cocoa pod ripeness is critical for optimizing harvest timing, improving post-harvest processing, and ensuring consistent quality in chocolate production. …”
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Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques by Hesham Kamal, Maggie Mashaly

“…The results demonstrate that our method achieves an impressive 99.71% accuracy in binary classification and 99.02% in multi-class classification on the NF-UNSW-NB15-v2 dataset, while for the CICIDS2017 dataset, it reaches 99.93% in binary classification and 99.13% in multi-class classification, significantly outperforming existing models. …”
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Real time intelligent garbage monitoring and efficient collection using Yolov8 and Yolov5 deep learning models for environmental sustainability by Mohammed M. Abo-Zahhad, Mohammed Abo-Zahhad

“…Two-stage lightweight deep learning models based on YOLOv5 and YOLOv8 are adopted to significantly decrease the number of parameters and processes, thereby reducing hardware requirements. …”
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Exploring the factors influencing the co-pyrolysis of walnut shells, pistachio shells, and polypropylene based on thermal behavior, kinetics and reaction mechanism by Zhigang Huang, Tong Zhang, Chen Wang, Wenbo Xiao, Zihan Wang, Obid Tursunov, Jiahui Wu, Yuguang Zhou, Xiaolong Yao, Gang Li

“…The experimental findings indicated that at 600 °C with a PS:PP ratio of 1:2, the activation energy was minimized while the total content of phenols and hydrocarbons reached its highest level (75.42 %). By integrating thermogravimetric, kinetic, and product analyzes, this study establishes a comprehensive characterization system for understanding pyrolysis processes at multiple scale levels, providing a novel approach for optimizing pyrolysis conditions while providing theoretical guidance for designing efficient and selective pyrolysis processes.…”
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Estimation of the reproductive and population parameters of Diaphorina citri (Hemiptera: Liviidae) by Madeleyne Parra-Fuentes, Lumey Pérez-Artiles, Juddy Heliana Arias-Castro, Héctor Martínez-Romero

“…Parameter estimation is a crucial step in the process of predicting and modelling biological systems. …”
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