Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…Based on the new findings, the drilled well PY001-H1 successfully reached high-quality reservoirs. Therefore, the results demonstrate that the studied “high-fidelity and high-resolution” processing technology is beneficial for deep reservoir prediction by improving seismic data resolution, amplitude preservation, heterogeneity analysis, and weak signal recovery.Key Technical Descriptions1. …”
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Application of an improved spherical omnidirectional loudspeaker array model in environmental noise pollution control by Yinsheng Li, Wenping Li, Maixia Fu, Zhaoying Wang, Yueyang Li

“…In response, the paper proposes an innovative method for spatial target tracking and noise control based on spherical omnidirectional loudspeaker arrays. The process begins by constructing a precise model of the spherical omnidirectional loudspeaker array that accurately reflects the spatial coverage characteristics of sound wave propagation. …”
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Mixed-method evaluation of CARITAS: a hospital-to-community model of integrated care for dementia by Milawaty Nurjono, Philip Yap, Ngoc Huong Lien Ha, Ivana Chan, Hubertus J M Vrijhoef, Sean Olivia Nicholas, Shiou-Liang Wee

“…The study evaluated the process and extent of integration within CARITAS.Design Triangulation mixed-methods design and analyses were employed to understand factors underpinning network mechanisms.Setting The study was conducted at a tertiary hospital in the northern region of Singapore.Participants We recruited participants who were involved in the conceptualisation, design, development and implementation of the CARITAS Programme from a tertiary hospital and PCC providers.Intervention We used the Rainbow Model of Integrated Care-Measurement Tool (RMIC-MT) to assess integration from managerial perspectives. …”
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CFD Modelling of Refining Behaviour in EAF: Influence of Burner Arrangement and Oxygen Flow Rates by Sathvika Kottapalli, Orlando Ugarte, Bikram Konar, Tyamo Okosun, Chenn Q. Zhou

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Mathematical model of the dependence between cerebral ventricular size and capillary pressure in laboratory animals by A. A. Cherevko, G. S. Valova, D. V. Petrovsky, A. E. Akulov

“…An axial section at the level of -0.5 mm from bregma was chosen as the geometry for mathematical modelling. To describe the data obtained, the mathematical model was adapted by selecting a scale factor based on the known values of the cerebrospinal fluid formation rate for humans and mice. …”
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Management of acute bacterial meningitis in a limited resource setting: an Egyptian consensus model by Samy Zaky, Mohamed Elbadry, Maysaa A. Saeed, Hanaa Fathelbab, Fatma Abdelsalam, Mohammed Gamal Abdel-Hamid, Alshaimaa Eid, Asmaa Bakr, Amira Maher, Mona Mohammed Abdelrahman, Mohamed A. Metwally, Mahmoud Saad Berengy, Enaam Ali AlMowafy, Hassan Goabar, Amin Abdel Baki, Ahmed Corie, Osama Hammad, Entesar Elsharkawy, Ahmed Saad, Fatma Ali-Eldin, Ahmed Mahdy, Ramadan Zaky, Reham Hammad, Gamal Essmat

“…Conclusion This Egyptian consensus model offers a feasible and context-specific approach to managing ABM, aiming to improve outcomes and reduce disparities in resource-limited settings.…”
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A grid-level fixed-asset model developed for China from 1951 to 2020 by D. Xin, D. Xin, D. Xin, J. E. Daniell, J. E. Daniell, Z. Zhang, Z. Zhang, Z. Zhang, F. Wenzel, F. Wenzel, S. S. Wang, S. S. Wang, X. Chen, X. Chen, X. Chen

“…The modelling process can be divided into two stages: (1) the compilation of provincial-level fixed-asset data series using the perpetual inventory method (PIM) and fixed-asset-related statistics and (2) the disaggregation of provincial-level fixed assets into grid-level assets (<span class="inline-formula">1 km×1 km</span> resolution) using different combinations of remote sensing ancillary data (i.e. nighttime light, built-up surface area, population) for different periods, considering their temporal availability. …”
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Construction of water injection seepage model for coal body and microscopic dominant influence law by Enmao WANG, Gang WANG, Shuliang XIE, Hongzhao WEI, Jing FENG, Handan LIANG

“…Consequently, to enhance the effectiveness of coal seam water injection, this research investigates the primary factors influencing the process. Initially, we developed a percolation model, incorporating elements such as pore throats, equivalent pore diameter, effective porosity, capillary bundles, tortuosity, and flow paths. …”
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DINOV2-FCS: a model for fruit leaf disease classification and severity prediction by Chunhui Bai, Chunhui Bai, Chunhui Bai, Lilian Zhang, Lilian Zhang, Lilian Zhang, Lutao Gao, Lutao Gao, Lutao Gao, Lin Peng, Lin Peng, Lin Peng, Peishan Li, Peishan Li, Peishan Li, Linnan Yang, Linnan Yang, Linnan Yang

“…The mIoU of the trained model reached 83.95%, and the accuracy of disease severity grading was 95.24%.DiscussionThe results demonstrate that the model exhibits superior performance compared to other state-of-the-art models and that the model has strong generalization capabilities. …”
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Benefits and Risks of Introducing Artificial Intelligence Into Trade and Commerce: The Case of Manufacturing Companies in West Africa by Zelin Zhuo, Frank Okai Larbi, Eric Osei Addo

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Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion by F. Plesinger, S. Hassouna, Z. Carna, J. Vesela, R. Smisek, E. Vargova, V. Sobota, Z. Koscova, P. Nejedly, I. Viscor, F. W. Prinzen, P. Jurak, J. Halamek, P. Osmancik

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Just-in-time updated DBN BOF steel-making soft sensor model based on dense connectivity of key features by Lu Zongxu, Liu Hui, Chen FuGang, Li Heng, Xue XiaoJun

“…According to the actual BOF steel production process data, the prediction accuracy of the terminal carbon content reached 82.0% within the error range of ±0.02%, and the prediction accuracy of the temperature reached 80.0% within the error range of ±10°C.…”
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Aquaponics model can provide better productivity: Microorganisms affect the growth and health of tilapia by Dingyue Fan, Huimin Xu, Shunlong Meng, Limin Fan, Chao Song, Liping Qiu, Dandan Li, Longxiang Fang, Zhuping Liu, Xuwen Bing

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A Study of the Poverty Alleviation Program for Young Families in Bantarkawung Subdistrict, Brebes by Syifa Latif Qolbiyani, Drajat Tri Kartono, Sugihardjo Sugiharjo, Norma Latif Fitriyani, Muhammad Syafrudin

“…Using a descriptive qualitative approach, data were collected through interviews, observations, documentation, and the Context, Input, Process, Product (CIPP) evaluation model. The results indicate that the overall effectiveness rate of the program reached 75%, classifying it as effective. …”
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Interpretable machine learning model of effective mass in perovskite oxides with cross-scale features by Changjiao Li, Zhengtao Huang, Hua Hao, Zhonghui Shen, Guanghui Zhao, Ben Xu, Hanxing Liu

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Granular computing-driven two-stage consensus model for large-scale group decision-making by Yanjun Wang, Xi Chen, Lidong Wang

“…This paper uses the concept of information granules to design a granular LSGDM consensus framework that addresses two core aspects of LSGDM: the clustering process and the consensus reaching process. First, granular hierarchical clustering is designed based on the principle of justifiable granularity, with a novel division index introduced to determine the optimal number of subgroups. …”
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An Analytical Model for the Plastic Bending of Anisotropic Sheet Materials, Incorporating the Strain-Hardening Effect by Yaroslav Erisov, Alexander Kuzin, Andry Sedelnikov

“…The model, experimentally validated with aluminum alloy samples and digital image correlation, accurately predicts stress–strain distributions, bending moments, and thinning behavior in the bending processes. …”
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Impact of New Mobility Solutions on Travel Behaviour and Its Incorporation into Travel Demand Models by Ada Garus, Borja Alonso, Maria Alonso Raposo, Biagio Ciuffo, Luigi dell’Olio

“…The results of the review thus point to the need for holistic demand models that carefully mimic the urban reality with everything it has to offer and account for the importance of individual traits in the decision-making processes. …”
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Mathematical modeling of an electrified methane steam reforming unit for maritime sector decarbonization via MCFC by Stefano Moriggi, Daniela De Cata, Dario Bove, Barbara Bosio

“…In fact, to sustain this process, a continuous hydrogen supply is required. …”
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A new paradigm to study social and physical affordances as model-based reinforcement learning by Augustin Chartouny, Keivan Amini, Mehdi Khamassi, Benoît Girard

“…Social affordances, although key in human-robot interaction processes, have received little attention in robotics. …”
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