Simulation the Arcitutural Charhacteristic Effect in Increasing the Cooling Needs of Tehran (Case Study: 12 & 22 Region) by reza borna, Nasrin Jafari, Farideh Asadian

“…This research uses a survey followed by a computer modeling methodology to achieve the goal of providing architects with techniques that reduce energy consumption in building units. …”
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A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes by Chang Gong, Jennifer J. Linderman, Denise Kirschner

“…How the fate of individual granulomas influence overall infection outcome at host scale is not understood, although computational models have been developed to predict single granuloma behavior. …”
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Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems by Haina Rong, Kang Yi, Gexiang Zhang, Jianping Dong, Prithwineel Paul, Zhiwei Huang

“…As an important variant of membrane computing models, fuzzy reasoning spiking neural P systems (FRSN P systems) were introduced to build a link between P systems and fault diagnosis applications. …”
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Modeling of autowave processes in active media with inhomogeneous properties by A. V. Gulaj, V. A. Gulaj, A. V. Dubovik

“…This paper shows the results of computer modeling of the processes of excitation and propagation of autowaves in distributed active media with inhomogeneous properties. …”
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Designing a Planar Fluxgate Using the PCB Technology by A. A. Kolomeitsev, I. A. Zatonov, M. I. Pischanskaya, P. F. Baranov, D. P. Ilyaschenko, E. V. Verkhoturova

“…The aforementioned characteristics can be achieved by using planar technologies and microelectromechanical systems (MEMS) in such advanced sensors.The work describes a complete R&D cycle, from creating the computer model of the sensor under study to manufacturing of a working prototype. …”
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Behavior of a Multi-Story Steel Structure with Eccentric X-Brace by Abdulkhalik J. Abdulridha

“…This study employs computational modelling to analyze multi-story steel buildings featuring an eccentric X-brace system. …”
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Computer-Integrated Monitoring Technology with Support-Decision of Unauthorized Disturbance of Methane Sensor Functioning for Coal Mines by Oleksandr Vovna, Hanna Kaydash, Leszek Rutkowski, Іvan Sakhno, Іvan Laktionov, Maryna Kabanets, Sergey Zozulya

“…The methodological basis for achieving the research goal is an integrated approach using proven scientific methods: analysis of existing scientific and practical results; computer modeling, development, and creation of prototypes of computer-integrated stands for studying the processes of external influence on measurement results. …”
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An Improved Deep Learning Model for Traffic Crash Prediction by Chunjiao Dong, Chunfu Shao, Juan Li, Zhihua Xiong

“…Compared to the conventional machine learning techniques that were limited in processing natural data in the raw form, deep learning allows computational models to learn representations of data with multiple levels of abstraction. …”
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Variable domain mutational analysis to probe the molecular mechanisms of high viscosity of an IgG1 antibody by Jing Dai, Saeed Izadi, Jonathan Zarzar, Patrick Wu, Angela Oh, Paul J. Carter

“…Here, we combined X-ray crystallography with computational modeling to predict regions of an anti-glucagon receptor (GCGR) IgG1 antibody prone to self-interaction. …”
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MINERALOGY AND GENESIS OF ULTRAMAFIC ROCKS FROM THE KURTUSHIBA OPHIOLITE BELT (WESTERN SAYAN) by V.A. Simonov, A.I. Chernyshov, A.V. Kotlyarov

“…The study of melt inclusions revealed the evolution of melts (picrites – picrobasalts – basalts – basaltic andesites) during the consecutive crystallization of minerals from the Western Sayan ophiolites. Computational modeling based on the compositions of melt inclusions and olivine indicates that olivine of ultramafic rocks of the Kurtushiba ophiolites crystallized at a decreasing pressure from 9.2 to 6.2 kbar and a decreasing temperature from 1550 to 1430 °С from picritic melts, which evolved to picrobasaltic melts. …”
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Noise immunity of QAM-OFDM signal reception using soft-decision demodulation in the presence of narrowband interference by A. A. Paramonov, V. V. Chu

“…The results presented in the article were obtained using statistical radio engineering, mathematical statistics, encoding theory, and computer modeling.Results. The paper presents a simple method for calculating soft bit estimates in the M-point signal QAM demodulator, where M is an even power of two. …”
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Mathematics as Information Compression via the Matching and Unification of Patterns by J. Gerard Wolff

“…This perspective on the foundations of mathematics has grown out of a long-term programme of research developing the SP Theory of Intelligence and its realization in the SP Computer Model, a system in which a generalised version of ICMUP—the powerful concept of SP-multiple-alignment—plays a central role. …”
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Information Compression as a Unifying Principle in Human Learning, Perception, and Cognition by J. Gerard Wolff

“…Evidence includes the following: information compression can mean selective advantage for any creature; the storage and utilisation of the relatively enormous quantities of sensory information would be made easier if the redundancy of incoming information was to be reduced; content words in natural languages, with their meanings, may be seen as ICMUP; other techniques for compression of information—such as class-inclusion hierarchies, schema-plus-correction, run-length coding, and part-whole hierarchies—may be seen in psychological phenomena; ICMUP may be seen in how we merge multiple views to make one, in recognition, in binocular vision, in how we can abstract object concepts via motion, in adaptation of sensory units in the eye of Limulus, the horseshoe crab, and in other examples of adaptation; the discovery of the segmental structure of language (words and phrases), grammatical inference, and the correction of over- and undergeneralisations in learning may be understood in terms of ICMUP; information compression may be seen in the perceptual constancies; there is indirect evidence for ICMUP in human cognition via kinds of redundancy such as the decimal expansion of π which are difficult for people to detect; much of the structure and workings of mathematics—an aid to human thinking—may be understood in terms of ICMUP; and there is additional evidence via the SP Theory of Intelligence and its realisation in the SP Computer Model. Three objections to the main thesis of this paper are described, with suggested answers. …”
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Thermal and Environmental Analysis Solar Water Heater System for Residential Buildings by Reza Alayi, Nima Khalilpoor, Saeid Heshmati, Atabak Najafi, Alibek Issakhov

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Myopic versus Farsighted Behaviors in a Low-Carbon Supply Chain with Reference Emission Effects by Jun Wang, Xianxue Cheng, Xinyu Wang, Hongtao Yang, Shuhua Zhang

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Introducing a Rheology Model for Non-Newtonian Drilling Fluids by Masoud Rashidi, Ahmad Sedaghat, Biltayib Misbah, Mohammad Sabati, Koshy Vaidyan, Ali Mostafaeipour, Seyyed Shahabaddin Hosseini Dehshiri, Khalid Almutairi, Alibek Issakhov

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About some approaches modeling of the vehicle on simulator by V. G. Mikhailov

“…Features of imitating modelling of the vehicle on a simulator, requirements to it, using methods of such modelling on the basis of computer models, hydropulsators and a moving platform with the monitors/projectors, simulating road conditions where reactions to it of the driver, movements essentially influencing modes and loading the vehicle with the further use of the received data at bench tests are considered are considered. …”
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Instance maps as an organising concept for complex experimental workflows as demonstrated for (nano)material safety research by Benjamin Punz, Maja Brajnik, Joh Dokler, Jaleesia D. Amos, Litty Johnson, Katie Reilly, Anastasios G. Papadiamantis, Amaia Green Etxabe, Lee Walker, Diego S. T. Martinez, Steffi Friedrichs, Klaus M. Weltring, Nazende Günday-Türeli, Claus Svendsen, Christine Ogilvie Hendren, Mark R. Wiesner, Martin Himly, Iseult Lynch, Thomas E. Exner

“…Instance maps are most effective when applied at the study design stage to associate the workflow with the nanomaterials, environmental conditions, method descriptions, protocols, biological and computational models to be used, and the data flows arising from study execution. …”
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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

“…The results highlight the synergistic effects of pressure and trace metals in enhancing gas–liquid mass transfer and enzymatic pathways, demonstrating the potential of computational modeling and experimental validation to optimize biological methanation systems, contributing to sustainable methane production.…”
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MINERAL FORMATION CONDITIONS IN ACID MAGMATIC SYSTEMS RELATED TO THE FORMATION OF MASSIVE SULFIDE DEPOSITS OF THE URALS AND ALTAI-SAYANY AREA by V.A. Simonov, V.V. Maslennikov, A.V. Kotlyarov

“…The features of rare and rare earth element patterns in melt inclusions in quartz indicate the similarity of acid magmatic systems of massive sulfide deposits in the Urals and Altai-Sayany region with present-day suprasubduction melts in the ocean-continent transition zones. Computational modeling using data on melt inclusions in quartz confirms our previous conclusions (Simonov, Maslennikov, 2020) that the occurrence of contrasting (basic and felsic) volcanic complexes with massive sulfide deposits in the Urals and Altai-Sayany region is a result of evolution of basaltoid magmas.…”
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