Improving Junk Sale and Purchase Transactions Using a Spiral Model-Based System by Heribertus Ary Setyadi, Supriyanta Supriyanta, Galih Setiawan Nurohim

“…Traditionally, individuals looking to sell junk or recyclable materials often rely on waiting for roaming junk collectors, a process that is inefficient and lacks transparency. …”
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An Inverse Modeling Multi-Objective Optimization Technique Based on Incremental Learning and Fuzzy Clustering by Gadallah Mohamed Abd Elaziz, Yasmine Abouelseoud, Sara H. Kamel

“…This paper aims to develop an inverse modeling MOEA based on decomposition that employs an incremental learning-based support vector regression (SVR) model, as an alternative to the Gaussian process model, in order to improve the quality of obtained solutions and speed up convergence of the algorithm. …”
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Calculation Model and Influencing Factors of Surrounding Rock Loosening Pressure for Tunnel in Fold Zone by Jianhao Liu, Caijin Xie, Junying Rao

“…Results show that in the anticline area, when φ1 increases, the vertical loosening pressure (q) decreases; when q > 0, the surrounding rock is in the elastic deformation stage, and q decreases monotonously as F increases; when q < 0, the rock mass is in the initial stage of failure, and as F continues to increase, the number of internal cracks increases, the rock mass reaches its ultimate bearing capacity and then fails completely, and q increases linearly in this process; q decreases with the increase of θ and k; the greater k is, the easier it is to reach its bearing limit; the horizontal loosening pressure (e) increased monotonously with the increase of h and λ. …”
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The One-Dimensional (1D) Numerical Model: An Application to Oxygen Diffusion in Mitochondria Cell by Gandhi Napitupulu, Achmad Nagi, Mutiara Rachmat Putri, Ivonne Milichristi Radjawane

“…The oxygen diffusion process in mitochondria was modeled with ID numerical models. …”
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Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF by Fulin SONG, Hong ZHAO, Xingyuan MIAO

“…Methods This paper presents a prediction model for the pitting depth of buried pipelines, guided by the corrosion mechanism and combining a Random Forest (RF) algorithm with a Multi-Objective Optimization process. …”
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Implementing modified constraint-induced movement therapy after stroke in an early-supported discharge rehabilitation service: a process evaluation using RE-AIM QuEST by Ashan Weerakkody, Erin Godecke, Barby Singer

“…Qualitative data were analysed using reflexive thematic analysis and mapped to the Capability, Opportunity, Motivation- Behaviour model for interviews and TDF for focus groups. Results Reach: 31% of all stroke survivors admitted to the ESD service, including 80% of those with an UL impairment, were eligible for mCIMT. …”
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From warehouse to ward: applying implementation research methods to the device identification, qualification, distribution, and management process within the Newborn Essential Solu... by Kylie Dougherty, Rebecca P. Kirby, Katerina Claud, Kara M. Palamountain, Elizabeth Asma, Millicent Alooh, Danica Kumara, Vince Gate, Ali Khalid, George Banda, Hope David Peter, Charles Osuagwu, Rebecca Richards-Kortum, Z. Maria Oden, Christine A. Bohne, Lisa R. Hirschhorn

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PENERAPAN MODEL PEMBELAJARAN GROUP INVESTIGATION DALAM MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA by Irmawaty Natsir, Abdul Rachman Taufik

“… This research discusses several problems found in the field, studying the learning process that is still dominated by the teacher, avoiding student participation in active learning activities, increasing student motivation in learning, and increasing collaboration between students. …”
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SYNTHESIS OF ECONOMETRIC AND NEURAL NETWORK MODELS FOR INDICATORS PREDICTION IN RESEARCH AND INNOVATION IN THE RUSSIAN FEDERATION by I. Kolmakov, M. Domozhakov

“…The objective reasons, under which the level best of regression modelsis reached, are identified. The subsystem architecture of the distributed neural network models developedin the programming language Python with the use of the web framework Django is described. …”
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Presenting a Military Group Tent Model with The Approach of Paying Attention to Flexible Structures by Zahra Yarmahmoodi

“…Aim: One of the pieces of equipment needed by the army forces is the military tent, which is very effective in their work process. Today, the software is designed to model the structure and implement it realistically. …”
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Development of a multi-level feature fusion model for basketball player trajectory tracking by Tao Wang

“…To solve the problems of low matching degree, long tracking time, and low accuracy of multi-target tracking in the process of athlete motion trajectory tracking using deep learning technology, a new athlete motion trajectory tracking model was proposed in this study. …”
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Implementing self-healing N-policy queueing models and their impact on IoT design applications by B. Janani, K. Ambika, S. Jegan

“…When a soft failure occurs, the process automatically initiates a repair action, which we will refer to as the self-healing time. …”
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Research on the Hydrodynamic Performance of Manta Rays Using a 2D CFD Model by Wenxian Li, Kai Ni, Cunjun Li, Chaoqiang Nan, Shijie Su

“…In this research, we investigated the effects of kinematic parameters—specifically wave number, amplitude, and frequency—on the hydrodynamic performance of manta rays during the swimming process by constructing a 2D CFD model. First, we verified the reasonableness of the 2D simulation. …”
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An evolutionary game model with reputation threshold and reputation score to promote trust in the sharing economy by Jia Shihui, Wang zhiyi

“…Abstract This paper presents an evolutionary trust game model that sets a reputation threshold and implements a reward mechanism for participants whose individual reputation scores are above this threshold; conversely, a punishment mechanism is applied to those whose scores are below it, to investigate the formation of trust in the sharing economy. …”
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Numerical Analysis of the Mud Inflow Model of Fractured Rock Mass Based on Particle Flow by Yongjian Pan, Huajun Wang, Yanlin Zhao, Qiang Liu, Shilin Luo

“…In this paper, based on fluid dynamics theory and discrete element method, we established a fractured rock mass mud inflow model using particle flow PFC3D numerical software, simulated the whole process of fractured rock mass mud inflow, and discussed the effect of particle size and flow velocity on the change of pressure gradient. …”
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New discrete memristive hyperchaotic map: modeling, dynamic analysis, and application in image encryption by Fei Yu, Yiya Wu, Xuqi Wang, Ting He, ShanKou Zhang, Jie Jin

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A distinct look at a transcendental phenomenon: the grounded theory model of leader humour by Mohammad Gholami, Fariborz Rahimnia, Gholamreza Malekzadeh, Alireza Khorakian

“…Data were collected from 18 Iranian university professors, selected via purposive sampling until theoretical saturation was reached. Semi-structured interviews were conducted, and data were analysed using MAXQDA2020 software to facilitate the coding process. …”
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Wind Power Prediction Based on a Hybrid Model of ICEEMDAN and ModernTCN-Informer by Jun He, Zijian Cheng, Zijie Zhong, Lizhuo Liang, Jianhui Ye

“…At first, the original wind power data undergoes ICEEMDAN decomposition to obtain several relatively stable subsequences, thereby mitigating data fluctuations. This process facilitates feature extraction from the sequences and enables the construction of a highly adaptive forecasting model. …”
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Evaluation of engraftment and growth dynamics of orthotopic and heterotopic in vivo models of human breast cancer by I. S. Lyashenko, M. V. Romanova, A. S. Goncharova, D. V. Khodakova, A. V. Galina, S. V. Gurova, S. Yu. Filippova, Yu. S. Shatova

“…The subcutaneous and orthotopic models of breast cancer were developed in this project. …”
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Territorial Space Optimization Method Based on Multi-Objective Genetic Algorithm and FLUS Model by Lin Ge

“…The proposed land simulation model reached the highest accuracy at 100 iterations with an average fitness of <inline-formula> <tex-math notation="LaTeX">$2.4\times 10 ^{11}$ </tex-math></inline-formula>, which was 13% and 27% higher than the other two traditional neural network algorithms, respectively. …”
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