Observed and unobserved regional determinants of FDI inflows: micro level analysis of the food industry firms in Russia

Observed and unobserved regional determinants of FDI inflows: micro level analysis of the food industry firms in Russia The development of Russian food industry is strategically important. Theoretically, the foreign capital inflow will help to renovate, modernize it and increase the productivity. But is it also interesting for foreign investors? What do foreign companies take into account when they invest in Russian food industry enterprises? Could it be special aspects of regional development (observed or unobserved) or only firm level data matters? Does the institutional environment in Russian regions significantly stimulate the inflow of foreign direct investment in Russian food industry enterprises or is the investor interested only in the size of a market? Two samples for 2009 and 2012 years of correspondingly about 5000 and about 7000 food industry companies of different subindustries from different Russian regions are analyzed to give the answer to these questions. The main idea of this investigation is to determine significant regional factors which effect the distribution of the FDI or to show that these items are not important for foreign investors. Russia has more than 80 regions and all of them are highly heterogeneous in terms of climate, geographical characteristics, level of economic and institutional development, industrial specialization, etc. Moreover, enterprises of different industries and subindustrues are different. In this research we take into account these facts investigating a hierarchical structure of the FDI distribution levels. This research consists of several parts: the theoretical part with hypotheses and the overview of the background and the empirical part with testing whether different regional characteristics like the infrastructure, taxation and the regulations in the region and in the neighboring ones play an important role. Spatial effects of these factors and of the economic development are also of our interest. The estimation of a multilevel binary model with spatial effects of analyzed factors gives the idea for the possible solution on the problem discovered above. The comparison of the results for two samples for different years and the investigation of dynamics also are taken into consideration

Effectiveness of Students' Motivation Factors in the Competency-Based Approach: A Case Study of Universities in Russia and Indonesia

The study aimed to explore the influence of motivation factors on the development of professional competencies using Russian and Indonesian institutions of higher education as case studies. In pursuit of this objective, quantitative survey methodology was incorporated, and surveys were conducted during November and April of the 2018/2019 to 2021/2022 school years. The questionnaire was developed with a 10-point rating scale, aimed at addressing the development of students' professional competencies and the factors that motivate learning and competency development. Using the questionnaire, the level of professional competency development of students in Russian and Indonesian universities has been empirically analysed. The results of the study supported the spiral nature of students' professional competencies development, showing that the development of professional competencies follows a progressive and non-linear nature of component development. These results confirm that the process of professional competency development is structurally divided into separate, relatively independent stages reflecting sequential and gradual progression. The positive character of the influence of the balanced development level of intrinsic and extrinsic motivation factors on the formation of students' professional competencies has been established. The results of the research may prove useful for educational institutions and public administration bodies for the development of effective mechanisms for students' motivation within the framework of competency-based approach implementation in higher education. Doi: 10.28991/ESJ-2022-06-03-012 Full Text: PD

In vitro evaluation of the activity of teriflunomide against SARS-CoV-2 and the human coronaviruses 229E and OC43

Previous data have suggested an antiviral effect of teriflunomide, including against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the agent underlying the ongoing COVID-19 pandemic. We undertook an in vitro investigation to evaluate the inhibitory activity of teriflunomide against SARS-CoV-2 in a cell-based assay. Teriflunomide was added to Vero (kidney epithelial) cells that had been infected with SARS-CoV-2. A nucleocapsid immunofluorescence assay was performed to examine viral inhibition with teriflunomide and any potential cytotoxic effect. The 50% effective concentration (EC50) for teriflunomide against SARS-CoV-2 was 15.22 μM. No cytotoxicity was evident for teriflunomide in the Vero cells (i.e., the 50% cytotoxic concentration [CC50] was greater than the highest test concentration of 100 μM). The data were supported by additional experiments using other coronaviruses and human cell lines. In the SARS-CoV-2-infected Vero cells, the prodrug leflunomide had an EC50 of 16.49 μM and a CC50 of 54.80 μM. Our finding of teriflunomide-mediated inhibition of SARS-CoV-2 infection at double-digit micromolar potency adds to a growing body of evidence for a broad-ranging antiviral effect of teriflunomide

Evaluation of Neurofilament Light Chain as a Biomarker of Neurodegeneration in X-Linked Childhood Cerebral Adrenoleukodystrophy

Cerebral adrenoleukodystrophy (CALD) is a devastating, demyelinating neuroinflammatory manifestation found in up to 40% of young males with an inherited mutation in ABCD1, the causative gene in adrenoleukodystrophy. The search for biomarkers which correlate to CALD disease burden and respond to intervention has long been sought after. We used the Olink Proximity Extension Assay (Uppsala, Sweden) to explore the cerebral spinal fluid (CSF) of young males with CALD followed by correlative analysis with plasma. Using the Target 96 Neuro Exploratory panel, we found that, of the five proteins significantly increased in CSF, only neurofilament light chain (NfL) showed a significant correlation between CSF and plasma levels. Young males with CALD had a 11.3-fold increase in plasma NfL compared with controls. Importantly, 9 of 11 young males with CALD who underwent HCT showed a mean decrease in plasma NfL of 50% at 1 year after HCT compared with pre-HCT levels. In conclusion, plasma NfL could be a great value in determining outcomes in CALD and should be scrutinized in future studies in patients prior to CALD development and after therapeutic intervention

Implications of Promiscuous Pim-1 Kinase Fragment Inhibitor Hydrophobic Interactions for Fragment-Based Drug Design

We have studied the subtleties of fragment docking and binding using data generated in a Pim-1 kinase inhibitor program. Crystallographic and docking data analyses have been undertaken using inhibitor complexes derived from an in-house surface plasmon resonance (SPR) fragment screen, a virtual needle screen, and a de novo designed fragment inhibitor hybrid. These investigations highlight that fragments that do not fill their binding pocket can exhibit promiscuous hydrophobic interactions due to the lack of steric constraints imposed on them by the boundaries of said pocket. As a result, docking modes that disagree with an observed crystal structure but maintain key crystallographically observed hydrogen bonds still have potential value in ligand design and optimization. This observation runs counter to the lore in fragment-based drug design that all fragment elaboration must be based on the parent crystal structure alone