Stochastic black-box optimization using multi-fidelity score function estimator by Atul Agrawal, Kislaya Ravi, Phaedon-Stelios Koutsourelakis, Hans-Joachim Bungartz

“…Optimizing parameters of physics-based simulators is crucial in the design process of engineering and scientific systems. This becomes particularly challenging when the simulator is stochastic, computationally expensive, black-box and when a high-dimensional vector of parameters needs to be optimized, as e.g. is the case in complex climate models that involve numerous interdependent variables and uncertain parameters. …”
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Optical control of RKKY coupling and perpendicular magnetic anisotropy in a synthetic antiferromagnet by Meiyang Ma, Jing Wu, Bo Liu, Lei Wang, Zhuoyi Li, Xuezhong Ruan, Zehua Hu, Fengqiu Wang, Xianyang Lu, Tianyu Liu, Jun Du, Ke Xia, Yongbing Xu

“…While the pump excitation process is shown to have an influence on the modulations, thermal contributions are excluded. …”
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Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans by Umair Khan, Armughan Ali, Salabat Khan, Farhan Aadil, Mehr Yahya Durrani, Khan Muhammad, Ran Baik, Jong Weon Lee

“…Dementia affects the patient by a process of gradual degeneration of the human brain and results in an inability to perform daily routine tasks and actions. …”
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A hybrid machine learning algorithm approach to predictive maintenance tasks: A comparison with machine learning algorithms by Jorge Paredes, Danilo Chávez, Ramiro Isa-Jara, Diego Vargas

“…Digital transformation has enabled the industrial sector to digitize all of its production processes, generating a vast quantity of data from sensors and actuators deployed along production lines. …”
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Improved Rainfall Prediction through Nonlinear Autoregressive Network with Exogenous Variables: A Case Study in Andes High Mountain Region by Mario Peña, Angel Vázquez-Patiño, Darío Zhiña, Martin Montenegro, Alex Avilés

“…To define a suitable model, ridge regression, lasso, random forest (RF), support vector machine (SVM), and NARX network were used. …”
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Vertical transmission of Dengue virus type-3 and metagenomic virome profiles of Aedes aegypti mosquitoes collected in Kisumu, Kenya. by Tabitha Wanjiru, Wallace Bulimo, Solomon Langat, Johnson Kinyua, Nicholas Odemba, Santos Yalwala, David Oullo, Richard Ochieng, Francis Ngere, Gladys Kerich, Janet Ambale, Eunice Achieng, David Abuom, Timothy Egbo, Jaree Johnson, Elly Ojwang, John Eads, Eric Garges, Fredrick Eyase

“…Aedes aegypti is the main vector of several arboviruses including chikungunya, dengue, yellow fever and Zika. …”
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Optimization of LED Lighting Strategies using Multi-Spectral Imaging for Enhanced Crop Growth in Vertical Farming Systems by Al-Farouni Mohammed, Ramadan Ghazi Mohamad, Rao G. Mallikarjuna

“…Horizontal approaches to Farming use these innovative solutions to increase productivity and efficiency as they help create more stable and more efficient agricultural processes.…”
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Chondrogenic Cancer Grading by Combining Machine and Deep Learning with Raman Spectra of Histopathological Tissues by Gianmarco Lazzini, Mario D’Acunto

“…The method to evaluate RBI is the most important contribution of this paper, because RBI could represent a relevant parameter for the identification of biochemical processes on the basis of the tumor progression and associated malignant degree. …”
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THE FORMATION AND DEVELOPMENT OF CORPORATE CULTURE OF THE MEDICAL ORGANIZATIONS by O. L. Zadvornaya, V. Alekseev, K. Borisov

“…The results of the study indicate the need for concept development, tools implementation and development of corporate culture in the practice of the medical organizations.Conclusions/Significance: Corporate culture – the system of collectively shared values, symbols, beliefs, standards of behaviour employees of the organization that contributes to the originality and uniqueness of the activities of medical organizations that promote the identification of employees with the organization; Corporate culture is formed with the influence of factors external and internal environment of the organization, solving problems, external adaptation  and internal integration in the environment; Generated and promoted by the corporate culture is an important management tool, creates strong competitive advantage, increases the social responsibility of medical institutions to the society and patients, improves the quality of medical activities; The presence of the corporate culture of the organization, a coherent system of values and behavior models allows us to improve policy development processes, internal communication, unity and team cohesion, to create a single vector of development of human resources to reduce employee turnover in your organization; Medical organizations need the formation of the concept, mechanisms of implementation and development of corporate culture in practice activities; The system of continuous professional education of managerial staff of health must ensure the implementation of educational programs in the field of formation and development of the corporate culture of healthcare organizations.…”
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Biomarkers associated with cell-in-cell structure in kidney renal clear cell carcinoma based on transcriptome sequencing by Zehua Wang, Zhongxiao Zhang

“…Results This study identified 1,256 DEGs which enriched in T-cell immune system regulation processes. Five hub genes (CDKN2A, VIM, TGFB1, CTSS, and CDC20) were biomarkers with area under the curve (AUC) values > 0.8, indicating high predictive performance. …”
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HeLa TI cell-based assay as a new approach to screen for chemicals able to reactivate the expression of epigenetically silenced genes. by Varvara Maksimova, Natalya Shalginskikh, Olga Vlasova, Olga Usalka, Anastasia Beizer, Polina Bugaeva, Dmitry Fedorov, Olga Lizogub, Ekaterina Lesovaya, Richard Katz, Gennady Belitsky, Kirill Kirsanov, Marianna Yakubovskaya

“…Screening of chemicals reactivating silent genes requires adequate systems mimicking whole-genome processes. We used a HeLa TSA-inducible cell population (HeLa TI cells) obtained by retroviral infection of a GFP-containing vector followed by several rounds of cell sorting for screening purposes. …”
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Antimicrobial Activity and Phytochemical Profiling of Natural Plant Extracts for Biological Control of Wash Water in the Agri-Food Industry by Piotr Kanarek, Barbara Breza-Boruta, Marcin Stocki

“…Water used in cleaning processes within the agri-food industry can be a vector for post-harvest contaminants, thus contributing to cross-contamination. …”
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Evaluation of Sentinel-2 Deep Resolution 3.0 Data for Winter Crop Identification and Organic Barley Yield Prediction by Milen Chanev, Ilina Kamenova, Petar Dimitrov, Lachezar Filchev

“…Satellite imagery from Sentinel-2 can support crop monitoring and yield prediction, optimising production processes. This study compares two types of Sentinel-2 data—standard (S2) data with 10 m and 20 m resolution and Sentinel-2 Deep Resolution 3 (S2DR3) data with 1 m resolution—to assess their (i) relationship with yield in organically grown barley and (ii) utility for winter crop mapping. …”
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Change of the geopolitical choice of independent Ukraine (current historical aspect) by Bogdan Levyk

“…The paper looks into the processes and conditions which led to the change of the geopolitical vector of Ukraine in the second decade of the 21st century. …”
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D₂X: Depression Detection System Through X Using Hybrid Machine Learning by Thara Angskun, Suda Tipprasert, Atitthan Thippongtorn, Jitimon Angskun

“…The <inline-formula> <tex-math notation="LaTeX">$D_{2}\mathbb {X}$ </tex-math></inline-formula> processes various types of tweets, including text messages, emoticons, and images, using a hybrid machine learning approach that combines support vector machine and random forest techniques. …”
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Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards by Tünde Takáts, László Pásztor, Mátyás Árvai, Gáspár Albert, János Mészáros

“…At the same time, there is a continuously expanding opportunity and offer for the application of remote sensing (RS) imagery together with machine learning (ML) techniques to model and monitor various environmental processes utilizing their versatile benefits. The present study focused on the applicability of data-driven geospatial models for predicting soil erosion in three vineyards in the Upper Pannon Wine Region, Central Europe, considering the seasonal variation in influencing factors. …”
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Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs by Sayed Gomaa, Ahmed Ashraf Soliman, Mohamed Mansour, Fares Ashraf El Salamony, Khalaf G. Salem

“…In this paper, four machine learning models: artificial neural network (ANN), Random Forest (RF), K-Nearest Neighbor (K-NN), and Support Vector Machine (SVM) are applied to estimate the overall oil recovery (R) of water flooding. …”
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An efficient strategy for small-scale screening and production of archaeal membrane transport proteins in Escherichia coli. by Pikyee Ma, Filipa Varela, Malgorzata Magoch, Ana Rita Silva, Ana Lúcia Rosário, José Brito, Tânia Filipa Oliveira, Przemyslaw Nogly, Miguel Pessanha, Meike Stelter, Arnulf Kletzin, Peter J F Henderson, Margarida Archer

“…<h4>Background</h4>Membrane proteins play a key role in many fundamental cellular processes such as transport of nutrients, sensing of environmental signals and energy transduction, and account for over 50% of all known drug targets. …”
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METHODOLOGICAL APPROACHES TO THE DETERMINATION OF CHEMORESISTANCE OF HUMAN CANCER CELLS TO ANTI-CANCER DRUGS by K. I. Kirsanov, K. A. Kuzin, T. I. Fetisov, E. A. Lesovaya, G. A. Belitskiy, M. G. Yakubovskaya

“…Over the past half century of using the experimental testing of tumor cell resistance in order to personalize chemotherapeutic treatment, the evolution of methodological approaches was based on the increase in their safety and sensitivity through the use of fluorescent compounds. The general vector for improving experiments on the personalization of tumor chemotherapy is aimed at approximating the experimental conditions to the processes occurring in the human body. …”
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Molecular Characterization of Agents of Cutaneous Leishmaniasis in Dutsin-Ma Local Government Area of Katsina State, Northwestern, Nigeria by Enimie, O. E., Umar, Y. A., Sani, A. M., Nkechi, E. L., Sherifat, A-B, B.

“…The dixenous life cycle of Leishmania species consists of the vertebrate and vector stages resulting in the differentiation of metabolic processes, morphological forms, and remodelling of genes in the parasite. …”
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