Multiple neuron clusters on Micro-Electrode Arrays as an in vitro model of brain network by Martina Brofiga, Serena Losacco, Fabio Poggio, Roberta Arianna Zerbo, Marco Milanese, Paolo Massobrio, Bruno Burlando

“…Hence, our multi-network dissociated cortical assemblies suggest the relevance of pacemaker neurons as essential elements for generating brain network electrophysiological patterns; indeed, such evidence should be considered in the development of computational models for envisaging network behavior both in physiological and pathological conditions.…”
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Formic Acid Production via One-Pot Hydrolysis-Oxidation of Starch over Quaternary Ammonium Salts of Vanadium-Containing Keggin-Type Heteropoly Acids by Nikolay V. Gromov, Tatiana B. Medvedeva, Ivan A. Lukoyanov, Valentina N. Panchenko, Maria N. Timofeeva, Oxana P. Taran, Valentin N. Parmon

“…The highest formic acid yield of 50% was achieved over the best [(C₂H₅)₄N]_3.5H_0.5PVMo₁₁O₄₀ catalyst, which was active and stable in seven reaction cycles. The kinetic computational model, which described formic acid formation well, was proposed in the presence of the most active [(C₂H₅)₄N]_3.5H_0.5PVMo₁₁O₄₀ catalyst.…”
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The Effects of Using a Trombe Wall Modified with a Phase Change Material, from the Perspective of a Building’s Life Cycle by Agnieszka Żelazna, Lech Lichołai, Joanna Krasoń, Przemysław Miąsik, Dominika Mikušová

“…A comprehensive computational model of a residential building located in Rzeszów, Poland, was created, taking into account the thermal parameters of the analyzed structure of the wall and its operation under real, specific climatic conditions, as well as the environmental characteristics. …”
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Prognostic Value of CD8+ Lymphocytes in Hepatocellular Carcinoma and Perineoplastic Parenchyma Assessed by Interface Density Profiles in Liver Resection Samples by Rokas Stulpinas, Dovile Zilenaite-Petrulaitiene, Allan Rasmusson, Aiste Gulla, Agne Grigonyte, Kestutis Strupas, Arvydas Laurinavicius

“…We conclude that (1) our computational models reveal independent and opposite prognostic impacts of CD8+ cell densities at the interfaces of the malignant and non-malignant epithelium interfaces with the surrounding stroma; and (2) together with pathology, surgery, and laboratory data, comprehensive prognostic models can be constructed to predict patient outcomes after liver resection due to HCC.…”
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Simulating a lead-cooled reactor campaign using the EUCLID/V1 code by Aleksandr A. Belov, Valery P. Bereznev, Galina S. Blokhina, Dmitry P. Veprev, Dmitry A. Koltashev, Vladimir S. Potapov, Olga I. Chertovskikh, Aleksey V. Shershov

“…The authors have developed a fuel archive to store calculated data in HDF5 format, created a computational model editor to generate input data in the fuel archive format, and also provided an example of computing the campaign of a lead-cooled fast reactor for three core design models shown in this paper. …”
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Multiple Myeloma Relapse Is Associated with Increased NFκB Pathway Activity and Upregulation of the Pro-Survival BCL-2 Protein BFL-1 by Ingrid Spaan, Anja van de Stolpe, Reinier A. Raymakers, Victor Peperzak

“…We used the novel signal transduction pathway activity (STA) computational model to quantify the functional NFκB pathway output in primary MM PC from diverse patient subsets at multiple stages of disease. …”
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Tetracyclic 1,4-Naphthoquinone Thioglucoside Conjugate U-556 Blocks the Purinergic P2X7 Receptor in Macrophages and Exhibits Anti-Inflammatory Activity In Vivo by Sergei Kozlovskiy, Evgeny Pislyagin, Ekaterina Menchinskaya, Ekaterina Chingizova, Leonid Kaluzhskiy, Alexis S. Ivanov, Galina Likhatskaya, Irina Agafonova, Yuri Sabutski, Sergey Polonik, Igor Manzhulo, Dmitry Aminin

“…Naphthoquinone-thioglucoside conjugate <b>U-556</b> binding to the extracellular part of the P2X7R was confirmed by SPR analysis, and the kinetic characteristics of this complex formation were established. Computer modeling predicted that <b>U-556</b> binds the P2X7R allosteric binding site, topographically similar to that of the specific A438079 blocker. …”
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Deep learning and multi-omics approach to predict drug responses in cancer by Conghao Wang, Xintong Lye, Rama Kaalia, Parvin Kumar, Jagath C. Rajapakse

“…By using molecular profiles of cancer cell lines available from Cancer Cell Line Encyclopedia (CCLE) and anticancer drug responses available in the Genomics of Drug Sensitivity in Cancer (GDSC), we will build computational models to predict anticancer drug responses from molecular features. …”
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A Coupled Geochemical‐Geodynamic Approach for Predicting Mantle Melting in Space and Time by P. W. Ball, T. Duvernay, D. R. Davies

“…Here, BDD21's functionality is illustrated using the Fluidity computational modeling framework, although it is designed so that it can be integrated with other geodynamic software. …”
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An interactive analysis of the mouse oviductal miRNA profiles by Angela Taraschi, Angela Taraschi, Costanza Cimini, Alessia Colosimo, Marina Ramal-Sanchez, Luca Valbonetti, Luca Valbonetti, Nicola Bernabò, Nicola Bernabò, Barbara Barboni

“…Here, an exhaustive bibliography search was carried out, followed by the construction of a computational model based on the networks theory in an attempt to recreate and elucidate the pathways potentially activated by the oviductal miRNA. …”
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Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts. by Jaron T Colas, John P O'Doherty, Scott T Grafton

“…With systematic comparison and falsification of computational models, human choices were tested for signatures of parallel modules representing not only an enhanced form of generalized reinforcement learning but also action bias and hysteresis. …”
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Theoretical calculation of the adiabatic electron affinities of the monosubstituted benzaldehyde derivatives by Zaki S. Safi, Nuha Wazzan

“…In the current study, several computational models were examined to calculate accurate adiabatic electron affinity (AEA) of twelve m- and p-monosubstituted benzaldehyde derivatives. …”
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A risk measurement tool for targeted HIV prevention measures amongst young pregnant and lactating women in South Africa by Trisha Ramraj, Nada Abdelatif, Witness Chirinda, Fareed Abdullah, Gurpreet Kindra, Ameena Goga

“…Model coefficients were rounded and stratified into risk groups and the area under the receiver operating curve (AUROC) was computed. Models were developed to determine which risk factors provided the most predictive accuracy whilst remining clinically meaningful. …”
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Comprehensive mechanical performance characteristics of newly developed ultra-thin coronary stents by Mohamed S. Ibrahim, Moataz Elsisy, Kara Nghiem, Amr F. Mohamed, Chang Hun Kum, Jae Hwa Cho, Gyuhyun Jin, Sang Hyun An, Youngjae Chun

“…These two stent designs are engineered with distinct bridge size and distribution patterns, prioritizing enhanced flexibility irrespective of the strut thickness. Computational modeling results show anticipated stress distribution with maximum local stresses, which are compared with experimental outcomes conducted in this study. …”
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A Deep-Learning-Based Multi-Modal Sensor Fusion Approach for Detection of Equipment Faults by Omer Kullu, Eyup Cinar

“…Developed sensor data acquisition technologies allow for digitally generating and storing many types of sensor data. Data-driven computational models allow the extraction of information about the machine’s state from acquired sensor data. …”
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Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment by Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, M. Ijaz Khan, Dilsora Abduvalieva, Fuad A. Awwad, Emad A. A. Ismail

“…Abstract Cloud Computing model provides on demand delivery of seamless services to customers around the world yet single point of failures occurs in cloud model due to improper assignment of tasks to precise virtual machines which leads to increase in rate of failures which effects SLA based trust parameters (Availability, success rate, turnaround efficiency) upon which impacts trust on cloud provider. …”
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Methodology of the Digital Platform of Smart Accurate Ecologically Balanced Agriculture of Adygea by T. P. Varshanina, O. A. Plisenko, V. N. Korobkov, Z. A. Shekhov

“…For the first time, an automated computational model of the redistribution of agrochemical indicators in morphometrically classified quasi–homogeneous relief surfaces – geotopes in comparison with soil conditions, climatic and microclimatic fluctuations has been created. …”
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THE EXPERIMENTAL-RATED METHOD OF STYDYING OF WIDE-CHORD FAN OF THE AIRCRAFT ENGINE FOR THE ABSENCE OF FLUTTER by Вячеслав Владимирович Донченко, Игорь Федорович Кравченко

“…It is proposed to use the studied points with a proven absence of flutter for verification of computational models using software systems and methods, for calculating the absence of flutter, taking into account the limits of possible operation defined in the method. …”
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PyRates-A code-generation tool for modeling dynamical systems in biology and beyond. by Richard Gast, Thomas R Knösche, Ann Kennedy

“…Together, these tools offer a versatile framework for applying computational modeling and numerical analysis methods to dynamical systems in biology and beyond.…”
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A spatial-attentional mechanism underlies action-related distortions of time judgment by Liyu Cao

“…Furthermore, computational modeling based on the attention measure can reproduce the temporal binding effect. …”
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