Mechanisms and roles of membrane-anchored ATG8s by Soo-Kyeong Lee, Sang-Won Park, Deok-Jin Jang, Jin-A. Lee

Get full text

The thorny path of the Russian sociology sovereignty: History, the present time and prospects by S. A. Kravchenko

“…There is a need for a complex path of sovereignty for Russian sociology: its contradictory processes are clear in the confrontation of Slavophilism, Westernism and Eurasianism at different stages of the country’s historical development. …”
Get full text

XNODE: A XAI Suite to Understand Neural Ordinary Differential Equations by Cecília Coelho, Maria Fernanda Pires da Costa, Luís L. Ferrás

“…Drawing inspiration from classical visualisation methods for differential equations, including time series, state space, and vector field plots, XNODE aims to offer intuitive insights into model behaviour. …”
Get full text

BIBLIOMETRIC ANALYSIS OF THE WORLD SCIENTIFIC PRODUCTION IN CHEMICAL ENGINEERING DURING 2000-2011. PART 3: ANALYSIS OF RESEARCH TRENDS AND HOT TOPICS by Esther García-carpintero, Ruben Miranda

“…Furthermore, a total of ten hotspots in the area have been identified: hydrogen as a new energy vector, wastewater treatments, carbon dioxide (capture and sequestration), photocatalysis, nanoparticles, biodiesel, nanotubes, ionic liquids, advanced oxidation processes, membranes, fuel cells and the use of biomass as raw material (e.g. bioethanol, energy production, etc.). …”
Get full text

The Conceptual Foundations of the Formation of an Ecosystem of Innovations in Agribusiness by Kyfyak Viktoriia I.

“…In this context, the article proposes a multi-vector approach that takes into account the peculiarities of institutional support, private initiatives, as well as the impact of education and science on the development of agrarian innovations. …”
Get full text

Understanding the dynamics of financial and economic crises: a comprehensive analysis by Mekki Hamdaoui, Abderraouf Mtiraoui, Zohra Aroussi, Mounir Smida

“…The empirical investigation incorporates a simultaneous equation, Bayesian Model Averaging (BMA) approach, a Panel Autoregressive Vector (P-VECM), an Autoregressive Distributed Lag (ARDL) technique, as well as Fully Modified OLS (FMOLS) and Dynamic OLS (DOLS) methods. …”
Get full text

Rationale for the use of electrophoresis of drugs in post-stroke patients with visual impairments: a review by Detelina B. Kulchitskaya, Tatiana V. Konchugova, Tatyana V. Marfina, Tatiana V. Apkhanova

Get full text

Biodiversity and ecology of dragonfly larvae in the plain zone of the Central Caucasus by Kozminov Sergey, Krapivina Elena, Paritov Anzor, Sabanova Raisa, Khandokhov Tahir

“…It is determined that the altitudinal-belt vector determines natural filtration processes, water mass exchange and characterizes plain water bodies with polysaprobic and mesosaprobic biotopes with a high content of organic matter. …”
Get full text

A Study of the effect of eigenvalues on the Moore Gibson Thompson model under photoacoustic excitation of semiconductors by A. El-Dali, Mohamed I. A. Othman, Esraa M. Gamal, Soliman Alkhatib

“…Analytical solutions for the main physical quantities are obtained utilizing the Laplace transform method combined with the vector–matrix differential equation method. Boundary conditions for the acoustic, plasma, and thermo-mechanical effects are applied at the outer surface of the medium. …”
Get full text

Designing Predictive Analytics Frameworks for Supply Chain Quality Management: A Machine Learning Approach to Defect Rate Optimization by Zainab Nadhim Jawad, Balázs Villányi

“…The framework employs advanced ML algorithms, including extreme gradient boosting (XGBoost), support vector machines (SVMs), and random forests (RFs), to accurately predict defect rates and derive actionable insights for supply chain optimization. …”
Get full text

Dry sliding tribological characteristics evaluation and prediction of TiB2-CDA/Al6061 hybrid composites exercising machine learning methods by Amit Aherwar, Anamika Ahirwar, Vimal Kumar Pathak

“…Additionally, scanning electron microscopy (SEM) was employed to examine dominant wear mechanisms under extreme wear conditions, revealing adhesion, abrasion, oxidation, and delamination as primary degradation processes. Furthermore, machine learning techniques, including Random Forest (RF), Support Vector Machines (SVM), Gaussian Process Regression (GPR), and Gradient Boosted Trees (GBTA), were leveraged to develop predictive models for wear loss and COF. …”
Get full text

IRON DEFICIENCY ANEMIA AND ANEMIA OF CHRONIC DISEASES: SOME ASPECTS OF THE PATHOGENESIS AND PROSPECTS OF DIFFERENTIAL DIAGNOSIS by Сатеник Аршавиловна Клочкова-Абельянц, Галина Северьевна Суржикова

“…Soluble transferrin receptors (rTFR) and the content of hepcidin-25 were determined by an enzyme immunoassay method using test systems of JSC Vector-Best and Peninsula Laboratories, LLS. Main results. …”
Get full text

Feature Variable Selection Based on VIS-NIR Spectra and Soil Moisture Content Prediction Model Construction by Nan Zhou, Jin Hong, Bo Song, Shichao Wu, Yichen Wei, Tao Wang

“…Because it governs the physical processes of evapotranspiration and rainfall penetration, surface soil moisture is a significant climatic variable. …”
Get full text

Trade uncertainty and investments in an emerging country: a Fourier VAR approach by Mert Akyuz, Muhammed Sehid Gorus, Cihan Gunes

“…Design/methodology/approach – The authors adopt the vector autoregression (VAR) model augmented with Fourier terms. …”
Get full text

Uncovering Wolbachia diversity upon artificial host transfer. by Daniela I Schneider, Markus Riegler, Wolfgang Arthofer, Hervé Merçot, Christian Stauffer, Wolfgang J Miller

“…Besides their biological and evolutionary roles, Wolbachia are new potential biological control agents for pest and vector management. Importantly, Wolbachia-based control strategies require controlled symbiont transfer between host species and predictable outcomes of novel Wolbachia-host associations. …”
Get full text

Hepatotoxicity Evaluation of Levornidazole and Its Three Main Impurities: Based on Structure–Toxicity Classification Prediction Combined with Zebrafish Toxicity Assessment by Ting Liu, Song Yuan, Luyong Zhang, Dousheng Zhang

“…Computational models based on support vector machines (SVM) and artificial neural networks (ANN) predicted that levornidazole, ornidazole, and impurity II exhibited hepatotoxic effects. …”
Get full text

Application of Machine Learning in Construction Productivity at Activity Level: A Critical Review by Ying Terk Lim, Wen Yi, Huiwen Wang

“…Noticeably, artificial neural networks, convolutional neural networks, support vector machines, and even deep learning demonstrating have been adopted due to their effectiveness in different functionalities and processes in CPM. …”
Get full text

Mechanisms for limiting migration flows in the controversy of members of the US Congress (1920–1921) by S. A. Grechishkina

“…The reason for the changes in the positions of the Democrats was the reassessment of the electorate of the party since the restrictive vector of policy was set in 1917 and the delayed effect of the electoral process was no longer feasible. …”
Get full text

Representations of Resilience in the Conceptual Field of Psychology by I.S. Bulanova, A.M. Dvoinin, V.K. Dvoinina

“…The article suggests the grounds for systematization of ideas about resilience, which make it possible to capture integrative processes and development trends in them. For this purpose, the method of deductive systematization was used, as well as conceptual analysis. …”
Get full text

Banking ecosystems and marketplaces: digitalization trends by L. V. Prigoda, M. V. Alikaeva, Z. Cekerevac

“…At present, artificial intelligence (AI) technologies have a significant impact on human life, both in the process of instant transfers and in conversational interfaces. …”
Get full text