Iron depletion in “metabolic fatty liver syndromes”: a strong biological rationale with disappointing liver outcomes by Amedeo Lonardo

“…This notion raises the logical expectation that iron depletion, which can easily be implemented with venesection, might improve several aspects of MFLS. …”
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Construction of Mechanical Earth Model (MEM) to Determine the Geomechanical Properties of Reservoirs: A Case Study by Annabelle Graham, Emma Scott, William Ward

“…The mechanical earth model (MEM) has recently been considered in the oil and gas industry due to its importance in predicting the safe and stable range of drilling mud, better understanding the effective parameters in wellbore instability, safe drilling and reduce exorbitant costs on the industry and understanding the geomechanical properties of the reservoir. The MEM includes a logical set of information related to geology, stress field, mechanical properties of rock (elastic modulus and rock failure properties) and pore pressure which can be employed as a tool to quickly update information for use in drilling and reservoir management. …”
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Designing Adaptability Strategy to a Novel Kinetic Adaptive Façade (NKAF); Toward a Pioneering Method in Dynamic-objects Daylight Simulation (Post-Processing) by Ali Goharian, Mohammadjavad Mahdavinejad, Sana Ghazazani, Seyed Morteza Hosseini, Zahra Zamani, Hossein Yavari, Fereshteh Ghafarpoor, Fataneh Shoghi

“…Results indicate that the fully dynamic sun-blocking logic significantly improved useful daylight illuminance (UDI 100-3000 lux) from 49% to 90%. …”
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Manifesto for transparent mathematical modeling: from ecology to general science by Vyacheslav L. Kalmykov, Lev V. Kalmykov

“…Here we present and justify the hypothesis that it is possible to construct transparent mathematical white-box models using logical deterministic cellular automata, where the rules used to construct these models are based on the general theory of the relevant domain. …”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…Feature extraction is later employed to identify patterns and characteristics commonly associated with SQL injection, such as certain SQL clauses and logical operators. This collection of attributes is employed to generate a feature vector that serves as the input for the Naive Bayes classification algorithms. …”
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The Relevance of the Practice of Ifá Divination in Ola Rotimi’s The Gods are not to Blame by Olusegun Olu-Osayomi, Babatunde Adebua

“…The aforementioned includes a detailed interrogation of the rationality and logic of these beliefs as Rotimi presents them. Through the ambiance of the various events in the play, the paper establishes that the practice of Ifá divination in Yorùbá land is not only a way of life but has also transcended traditional, Christian, and Muslim traditions and beliefs. …”
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INSTRUMENTAL CAPACITY OF INTERNATIONAL BUSINESS IN MODERN CONDITIONS by Georgii Logvynskyi

“…The study used general and special methods of scientific inquiry, including systems analysis, dialectical method, formal-logical method, structural-functional method, and various empirical methods. …”
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Implementation of Simplified Data Encryption Standard on FPGA using VHDL by salim Qadir Mohammed

“…The S-DES has been successfully implemented with few numbers of logic elements. …”
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Column layout design for concrete frame structures utilizing the strain energy-based topology optimization method by Xin-Cai Xiong, Hu-Zhi Zhang, Gang Peng, Fei-Fan Feng

“…Furthermore, the automated process enhances design efficiency and logic, reducing reliance on designer subjectivity. …”
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50 Years of scientific thought on Machine Diagnostics in PolanD anD its influence on MaritiMe aPPlications by Klekot Grzegorz, Dąbrowski Zbigniew, Dziurdź Jacek

“…The example presented in the second part of the article demonstrates that the well-known and technically important task of diagnosing a gear set can now be solved without looking for a classic state→symptom relationship through an accurate dynamic description of the machine and comparing it with the results of an experiment, but instead by comparing observations at different points in the n-dimensional space with an abstract pattern generated by a sequence of logical transformations. This formulation of the task opens up avenues for AI methods. …”
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Real-Time Analysis of Event Response Based on RT-Thread by Hui Liu, Wenyin Tao, Zhixin Hong, Lianmin Shi

“…The experimental results show that the low-latency piling timing analysis approach proposed in this paper has an error of about 1.5 microseconds compared to the measurement time of the logic analyzer and the theoretical analysis time. …”
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Estimating Complex Signals With a Fuzzy-Enhanced Kalman Filter: A Note on “the Output Regulation and the Kalman Filter as the Signal Generator” by Jesus Alberto Meda-Campana, Juan Carlos Garcia-Hernandez, Rodolfo Daniel Velazquez-Sanchez, Luis Alberto Paramo-Carranza, Tonatiuh Hernandez-Cortes, Ricardo Tapia-Herrera

“…Furthermore, the result shows that incorporating simple fuzzy logic concepts may substantially enhance the performance of some established algorithms.…”
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Project Design Implementation and Sustainability of Donor Funded Potato Projects in Kabale District South Western Uganda by Turyasingura, John Bosco, Moses, Agaba, Meza, Orach, Zombeire, Regis

“…Conclusion and recommendations: Participatoryproject stakeholder mapping, involving the setting up of problem and objective tree analysis, as well as project logical framework allows beneficiaries the beneficiaries to own the potato projects and hence the sustainability of donor-funded potato projects in Kabale District. …”
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Pemilihan Strategi Implementasi Kesehatan Digital Pada Kelompok Pengambil Keputusan Menggunakan Metode Vikor by Sri Kusumadewi, Rahadian Kurniawan

“…Setiap matriks diolah dengan menggunakan Modified Digital Logic (MDL) untuk mendapatkan bobot. Komposisi bobot dari lima pengambil keputusan dilakukan dengan rata-rata geometrik. …”
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Hydrological Information related Existed Dam Sites Assessment using ArcGIS in Zawita District by Zahraa Mahmood Klari, Dadvan Hakeem Abdulrahman

“…In this paper, a hybrid Geographic information system (ArcGIS) decision-making technology powered by fuzzy logic is developed to assess seven small dams' sites in the Zawita district. …”
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ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS by D. A. Pervukhin, Lisha Tang

“… In particular, this work explores the effectiveness of capacity layout optimisation on workflows and organizational performance for coal enterprises through reliance on advanced technologies such as GIS, Lean Six Sigma, Artificial Intelligence (AI), and Big Data, filling in those gaps in prior studies by using software from AnyLogic to develop computational models and conduct simulations. …”
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Electrical mutual switching in a noncollinear-antiferromagnetic–ferromagnetic heterostructure by Ju-Young Yoon, Yutaro Takeuchi, Ryota Takechi, Jiahao Han, Tomohiro Uchimura, Yuta Yamane, Shun Kanai, Jun’ichi Ieda, Hideo Ohno, Shunsuke Fukami

“…It yields intriguing proof-of-concept functionalities for unconventional logic and neuromorphic computing.…”
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Identifying key influencing factors of cross-regional railway infrastructure interconnection: a fuzzy integrated MCDM framework by Simai Yang, Pengcheng Xiang, Xiaping Zhao, Yiting Wang, Mingming Hu, Yan Qian

“…This study constructed a conceptual model of CRII system to reveal the logic of CRII operation, and systematically identified 16 influencing factors. …”
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Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Subsequently, graph convolutional neural networks with autoencoders are trained on large unlabeled sets of threat data to automatically label various types of threats, with the system employing fuzzy logic to rank and score possible threats. Furthermore, we implemented a feedback loop that incorporates reinforcement learning, thereby improving model performance over time according to guidance provided by cybersecurity specialists. …”
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