Miracle-dz/UniFAR-FTUs huggingface dataset:
Empirical Analysis of the Integration Activity of Business Structures in the Regions of Russia

The article investigates the integration activity of business structures in the regions of Russia. A wide variety of approaches to the study of the problems and prospects of economic integration and the current dispute on the role of integration processes in the regional economic development have determined the complexity of the concepts â€œintegrationâ€ and â€œintegration activitiesâ€ in order to develop the objective conditions to analyse the integration activity of business structures in the Russian regions. The monitoring of the current legal system of the Russian Federation carried out in the area of statistics and compiling statistical databases on mergers and acquisitions has showed the absence of the formal executive authority dealing with the compiling and collections of information on the integration activity at the regional level. In this connection, the data of Russian information and analytical agencies are made from the information and analytical base. As the research tools, the methods of analysis of structural changes, methods of analysis of economic differentiation and concentration, methods of non-parametric statistics are used. The article shows the close relationship between the social and economic development of the subjects of Russia and the integrated business structures functioning on its territory. An investigation of the integration activity structure and dynamics in the subjects of the Russian Federation based on the statistical data for the period from 2003 to 2012 has revealed the increasing heterogeneity of the integration activity of business structures in the regions of Russia. The hypothesis of a substantial divergence of mergers and acquisitions of corporate structures in the Russian regions was confirmed by the high values of the Gini coefficient, the Herfindahl index, and the decile coefficient of differentiation. The research results are of practical importance since they can be used to improve the existing federal programs aimed at evening-out disproportions in the social and economic development of the Russian regions. The qualitative infrastructure formation of the merger and acquisition market and the development of regional policies in order to increase the competitiveness of the Russian regions can be possible on the basis of the presented analysis.
Regression Models of Sprint, Vertical Jump, and Change of Direction Performance

Abstract Swinton, PA, Lloyd, R, Keogh, JWL, Agouris, I, and Stewart, AD. Regression models of sprint, vertical jump, and change of direction performance. J Strength Cond Res 28(7): 1839–1848, 2014—It was the aim of the present study to expand on previous correlation analyses that have attempted to identify factors that influence performance of jumping, sprinting, and changing direction. This was achieved by using a regression approach to obtain linear models that combined anthropometric, strength, and other biomechanical variables. Thirty rugby union players participated in the study (age: 24.2 ± 3.9 years; stature: 181.2 ± 6.6 cm; mass: 94.2 ± 11.1 kg). The athletes' ability to sprint, jump, and change direction was assessed using a 30-m sprint, vertical jump, and 505 agility test, respectively. Regression variables were collected during maximum strength tests (1 repetition maximum [1RM] deadlift and squat) and performance of fast velocity resistance exercises (deadlift and jump squat) using submaximum loads (10–70% 1RM). Force, velocity, power, and rate of force development (RFD) values were measured during fast velocity exercises with the greatest values produced across loads selected for further analysis. Anthropometric data, including lengths, widths, and girths were collected using a 3-dimensional body scanner. Potential regression variables were first identified using correlation analyses. Suitable variables were then regressed using a best subsets approach. Three factor models generally provided the most appropriate balance between explained variance and model complexity. Adjusted R2 values of 0.86, 0.82, and 0.67 were obtained for sprint, jump, and change of direction performance, respectively. Anthropometric measurements did not feature in any of the top models because of their strong association with body mass. For each performance measure, variance was best explained by relative maximum strength. Improvements in models were then obtained by including velocity and power values for jumping and sprinting performance, and by including RFD values for change of direction performance.
Pharmacoinformatics approach for investigation of alternative potential hepatitis C virus nonstructural protein 5B inhibitors

Hepatitis C virus (HCV) is one of the major viruses affecting the world today. It is a highly variable virus, having a rapid reproduction and evolution rate. The variability of genomes is due to hasty replication catalyzed by nonstructural protein 5B (NS5B) which is also a potential target site for the development of anti-HCV agents. Recently, the US Food and Drug Administration approved sofosbuvir as a novel oral NS5B inhibitor for the treatment of HCV. Unfortunately, it is much highlighted for its pricing issues. Hence, there is an urgent need to scrutinize alternate therapies against HCV that are available at affordable price and do not have associated side effects. Such a need is crucial especially in underdeveloped countries. The search for various new bioactive compounds from plants is a key part of pharmaceutical research. In the current study, we applied a pharmacoinformatics-based approach for the identification of active plant-derived compounds against NS5B. The results were compared to docking results of sofosbuvir. The lead compounds with high-binding ligands were further analyzed for pharmacokinetic and pharmacodynamic parameters based on in silico absorption, distribution, metabolism, excretion, and toxicity (ADMET) profile. The results showed the potential alternative lead compounds that can be developed into commercial drugs having high binding energy and promising ADMET properties.
JITGuard: Hardening Just-in-time Compilers with SGX

Memory-corruption vulnerabilities pose a serious threat to modern computer security. Attackers exploit these vulnerabilities to manipulate code and data of vulnerable applications to generate malicious behavior by means of code-injection and code-reuse attacks. Researchers already demonstrated the power of data-only attacks by disclosing secret data such as cryptographic keys in the past. A large body of literature has investigated defenses against code-injection, code-reuse, and data-only attacks. Unfortunately, most of these defenses are tailored towards statically generated code and their adaption to dynamic code comes with the price of security or performance penalties. However, many common applications, like browsers and document viewers, embed just-in-time compilers to generate dynamic code. The contribution of this paper is twofold: first, we propose a generic data-only attack against JIT compilers, dubbed DOJITA. In contrast to previous data-only attacks that aimed at disclosing secret data, DOJITA enables arbitrary code-execution. Second, we propose JITGuard, a novel defense to mitigate code-injection, code-reuse, and data-only attacks against just-in-time compilers (including DOJITA). JITGuard utilizes Intel's Software Guard Extensions (SGX) to provide a secure environment for emitting the dynamic code to a secret region, which is only known to the JIT compiler, and hence, inaccessible to the attacker. Our proposal is the first solution leveraging SGX to protect the security critical JIT compiler operations, and tackles a number of difficult challenges. As proof of concept we implemented JITGuard for Firefox's JIT compiler SpiderMonkey. Our evaluation shows reasonable overhead of 9.8% for common benchmarks.
Sequence and expression of GLN3, a positive nitrogen regulatory gene of Saccharomyces cerevisiae encoding a protein with a putative zinc finger DNA-binding domain

The GLN3 gene of Saccharomyces cerevisiae is required for the activation of transcription of a number of genes in response to the replacement of glutamine by glutamate as source of nitrogen. We cloned the GLN3 gene and constructed null alleles by gene disruption. GLN3 is not essential for growth, but increased copies of GLN3 lead to a drastic decrease in growth rate. The complete nucleotide sequence of the GLN3 gene was determined, revealing one open reading frame encoding a polypeptide of 730 amino acids, with a molecular weight of approximately 80,000. The GLN3 protein contains a single putative Cys2/Cys2 zinc finger which has homology to the Neurospora crassa NIT2 protein, the Aspergillus nidulans AREA protein, and the erythroid-specific transcription factor GATA-1. Immunoprecipitation experiments indicated that the GLN3 protein binds the nitrogen upstream activation sequence of GLN1, the gene encoding glutamine synthetase. Neither control of transcription nor control of initiation of translation of GLN3 is important for regulation in response to glutamine availability.
Alterations in the TGFβ signaling pathway in myogenic progenitors with age

Myogenic progenitors in adult muscle are necessary for the repair, maintenance and hypertrophy of post‐mitotic muscle fibers. With age, fat deposition and fibrosis contribute to the decline in the integrity and functional capacity of muscles. In a previous study we reported increased accumulation of lipid in myogenic progenitors obtained from aged mice, accompanied by an up‐regulation of genes involved in adipogenic differentiation. The present study was designed to extend our understanding of how aging affects the fate and gene expression profile of myogenic progenitors. Affymetrix murine U74 Genechip analysis was performed using RNA extracted from myogenic progenitors isolated from adult (8‐month‐old) and aged (24‐month‐old) DBA/2JNIA mice. The cells from the aged animals exhibited major alterations in the expression level of many genes directly or indirectly involved with the TGFβ signaling pathway. Our data indicate that with age, myogenic progenitors acquire the paradoxical phenotype of being both TGFβ activated based on overexpression of TGFβ‐inducible genes, but resistant to the differentiation‐inhibiting effects of exogenous TGFβ. The overexpression of TGFβ‐regulated genes, such as connective tissue growth factor, may play a role in increasing fibrosis in aging muscle.
An examination of the reliability of reported stool frequency in the diagnosis of idiopathic constipation.

OBJECTIVES To investigate the reliability of reported stool frequency in the diagnosis of constipation. METHODS Our criterion for the diagnosis of idiopathic constipation was < or = 3 stools per week for > or = 6 months. Subjects who believed that they met this criterion were invited to participate. Daily stool frequency was recorded over a 4-wk period, and all stools were weighed during the final week. A colon transit study and anorectal manometry were performed at the beginning and at the end of the study. RESULTS On review of stool diaries from 45 subjects who described chronic constipation and who completed the 4-wk study, only 22 (49%) actually satisfied our criterion for idiopathic constipation. The remaining 23 (51%) subjects, although describing constipation, had, on average, 6 stools/wk. A history of psychiatric illness was 5 times more frequent among those whose bowel symptoms correlated poorly with objective measures. Measures of difficult defecation were similar in the two groups. Mean colon transit time was significantly longer and correlated closely with stool weight only in subjects who truly were constipated (p < 0.05). Anorectal manometry was not helpful in discriminating between those who satisfied our criterion for constipation and those who did not. CONCLUSIONS Defining constipation on the basis of a patient's reported stool frequency may prove misleading; the diagnosis of idiopathic constipation should be supported by the use of stool diaries and a colon transit study.
Technology, Skill and Long Run Growth

This paper develops a model in which heterogeneous firms invest in technology to increase their profits, and heterogeneous workers invest in human capital to increase their earnings. Production functions are log supermodular in technology and human capital, so the competitive equilibrium features positively assortative matching between firms and workers. Continued investment in technology is profitable only because human capital is growing, and continued investment in human capital is worthwhile only because technology is growing. Both investment technologies have stochastic components, and the balanced growth path has stationary, nondegenerate distributions of technology and human capital, with both growing at a common, constant rate.
Ecological risk assessment for residual coal fly ash at Watts Bar Reservoir, Tennessee: Site setting and problem formulation

A baseline ecological risk assessment (BERA) was performed for residual ash in the Watts Bar Reservoir following a release of fly ash from the Tennessee Valley Authority (TVA) Kingston Fossil Plant. The site consists of parts of 3 rivers in eastern Tennessee comprising over 32 river kilometers. The purpose of the assessment was to determine if residual ash negatively impacts maintenance and reproduction of balanced communities or populations of potentially exposed ecological receptor groups in these rivers. This introductory article summarizes the site and environmental setting, assessment and measurement endpoints, risk characterization methods, and the study approach. Subsequent articles describe ecological risks to fish, benthic invertebrates, aquatic‐ and riparian‐feeding wildlife, and aerial‐feeding insectivores; and the role ecological risk characterization played in determining the most effective management of the residual ash, setting project remediation objectives and targets, and designing long‐term monitoring to measure the effectiveness of the selected removal action. Integr Environ Assess Manag 2015;11:32–42. © 2014 SETAC
Effects of Case Removal in Prognostic Models

Abstract Constructing and updating prognostic models that learn from training cases is a time-consuming task. The more compact, and yet informative, the training sets are, the faster one can build and properly evaluate such models. We have compared different regression diagnostic methods for selection and removal of training cases in prognostic models. Univariate determinations were performed using classical regression diagnostic statistics. Multivariate determinations were performed using (1) a sequential “backward” selection of cases, and (2) a non-sequential genetic algorithm. The genetic algorithm produced final models that kept few cases and retained predictive capability. A genetic algorithm approach to case selection may be better suited for guiding removal of cases in training sets than a univariate or a sequential multivariate approach, possibly because of its ability to detect sets of cases that are influential en bloc but may not be sufficiently influential when considered in isolation.
Krox20 Controls the Transcription of Its Various Targets in the Developing Hindbrain According to Multiple Modes*

The zinc finger transcription factor Krox20 plays an essential role in the vertebrate hindbrain segmentation process. It positively or negatively controls a large variety of other regulatory genes, coordinating delimitation of segmental territories, specification of their identity, and maintenance of their integrity. We have investigated the molecular mechanisms of Krox20 transcriptional control by performing a detailed structure-function analysis of the protein in the developing chick hindbrain. This revealed an unsuspected diversity in the modes of action of a transcription factor in a single tissue, since regulation of each of the five tested target genes requires different parts of the protein and/or presumably different co-factors. The multiplicity of Krox20 functions might rely on this diversity. Investigation of known Krox20 co-factors was initiated in relation to this analysis. Nab was shown to act as a negative feedback modulator of the different Krox20 activating functions in the hindbrain. HCF-1 was found to bind to a Krox20 N-terminal region, which was shown to rely on multiple elements, including acidic domains, to convey Nab activation and Krox20 autoregulation.
Comparison of Soft-Sensor Design Methods for Industrial Plants Using Small Data Sets

This paper analyzes a number of strategies that are devoted to improving the generalization capabilities of neural-network-based soft sensors when only small data sets are available. The aim of this paper is to search for a strategy that is able to cope with the problem of scarcity of experimental data, which often arises in industrial applications. The strategies that are considered are based on the manipulation of experimental training data sets to increase their diversity either by injecting noise into the available data or by using the bootstrap resampling approach. A new method, which is based on an aggregation of neural models, trained on different training data sets, which are obtained by noise injection and bootstrap resampling, is proposed in this paper. The methods considered were compared in an industrial case study regarding the design of a backup soft sensor for a thermal cracking unit, working in a refinery in Sicily, Italy. The results of the case study show that all the methods considered produced an improvement in the estimation capability of the models. The best performance was obtained by using the method proposed by the authors.
Relationship of the Intensity of Helicobacter pylori and Severity of Inflammation with Beta-2 Microglobulin Levels in Serum According to the Updated Sydney System

Objective: Helicobacter pylori (HP) is a cause of chronic gastritis. Beta-2 microglobulin has been used as a simple inflammatory indicator in some diseases. We investigate the usability of beta-2 microglobulin as a simple marker that may reflect the severity of inflammation and intensity of HP in gastric mucosa. Materials and Methods: A total of 114 patients was included in the study, who applied to an outpatient gastroenterology clinic with complaint of dyspepsia. Serum beta-2 microglobulin levels were evaluated in 109 patients. Esophagogastroduodenoscopy was performed on patients included in the study, and histological analysis was performed by obtaining two specimens from each of antrum, corpus, and incisura angularis. All specimens were evaluated according to the updated Sydney System. Results: No statistically significant result was found between serum beta-2 microglobulin levels and the intensity of HP and the severity of inflammation of gastric mucosa. However, it was observed that the serum beta-2 microglobulin level in specimens taken from corpus was found to be higher in patients with moderate-severe HP intensities compared to those with lower HP intensities. Conclusions: Although HP is the cause of the chronic active gastritis characterized with the infiltration of lymphocytes, plasma cells, and neutrophils, it is accompanied by local involvement apart from diseases with a course of systemic involvement. We suggest that the serum beta-2 microglobulin level cannot be used as a simple marker of HP intensity and severity of inflammation in gastric endoscopic biopsies.
Monitoring the initial expansion of focal ischaemic changes by diffusion‐weighted MRI using a remote controlled method of occlusion

The purpose of the present study was to quantify the early changes which occur on diffusion‐weighted imaging following focal cerebral ischaemia. We have developed a method for the remote occlusion of the middle cerebral artery in the rat, allowing early changes to be monitored and images to be acquired before and after ischaemia under identical conditions. Sequential diffusion‐weighted images were acquired before and for up to 6h following the occlusion. The data show that a hyperintense area appears soon after occlusion which expands during the first 2 h. It has previously been shown that the hyperintensity observed after ischaemia is linked to events associated with energy failure. Our findings are in good agreement with previous pathophysiological studies of focal ischaemia, which suggest a growing of the energy depleted area. In conclusion, our data extend the usefulness of diffusion‐weighted imaging to the study of the early spatial evolution of the most compromised area after focal ischaemia. Diffusion‐weighted imaging may constitute a very powerful tool to investigate pharmacological therapies which may interact with this evolution, both in experimental and clinical studies.
Assessment of the 2016 Massachusetts Citizens’ Initiative Review Pilot on Question 4

Acknowledgements The section on the CIR deliberation was written principally by Katherine Knobloch, with on-site research assistance from Lee Hannah and Cheryl Maiorca. The CIR Statement analysis was written by Knobloch and John Gastil. The focus group section was adapted by John Gastil from a report by Ernest Paicopolos and Jennifer Watters, and the survey data section was written by John Gastil. This research project has used funding provided by the Democracy Fund and the National Science Foundation. It also incorporates comparative data from research supported by those same sources, as well as the Kettering Foundation, the University of Washington, Colorado State University, and the Pennsylvania State University. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of these foundations or universities. We again thank those who contributed to the 2010, 2012, and 2014 reports on the Citizens’ Initiative Review, as well as those who assisted with the collection and analysis of data in 2016, including David Brinker and Robert Richards at Penn State University, the panel management staff at Qualtrics, and Ernest Paicopolos and Jennifer Watters from the Opinion Dynamics Corporation, which conducted the focus groups that appear in this report. We also thank the Massachusetts CIR Pilot Project team and Jessie Conover, Robin Teater, Tyrone Reitman, and everyone who has worked at and for Healthy Democracy in this past year.