Miracle-dz/UniFAR-FTUs huggingface dataset:
Market Liquidity, Analysts Coverage, and Ownership Concentration: Evidence From ASE

This research investigates the association between analyst coverage, ownership concentration and market liquidity in Amman Stock Exchange (ASE). Using a unique dataset about information asymmetry, several proxies related to the information asymmetry are used to clarify certain aspects of market liquidity. In a sample of 131 companies with comprehensive data collected from company guides and Datastream, information asymmetry measured by analysts’ coverage is found to be an important determinant of market liquidity. In particular, market liquidity is lower where firms have larger analysts coverage and where firms are denoted with high degree of ownership concentration. The effect of analysts coverage is, however, found to be more marked in firms with high levels of ownership concentration. The study provides theoretical and empirical improvement of market liquidity literature towards an understanding of the information asymmetry proxies in ASE. Policymakers, after the 2007-2009 scandal have formed governance codes that highlight the importance of disclosure requirements as key responsibility of financial analysts. The link between analysts coverage and market liquidity established in this research provides evidence for insider investors on the roles and potential effectiveness of analysts in carrying this responsibility.
Partial Peace: Rebel Groups Inside and Outside of Civil War Settlements

Previous research proposes that peace is more likely to become durable if all rebel groups are included in the settlement reached. The argument implies that if actors are excluded and continue to pursue the military course, this could have a destabilizing effect on the actors that have signed an agreement. This article argues that all-inclusive peace deals — signed by the government and all rebel groups — are not the panacea for peace that many seem to believe. Given that the parties are strategic actors who are forward-looking when making their decisions, the signatories should anticipate that the excluded parties may continue to fight. Therefore, the risk of violent challenges from outside actors is likely to already be factored into the decisionmaking calculus when the signatories decide to reach a deal, and so does not affect their commitment to peace. Implications from this theoretical argument are tested using unique data on the conflict behavior of the government and each of the rebel groups in internal armed conflicts during the post-Cold War period. The results are well in line with the theoretical expectations and show that whether an agreement leaves out some actor does not affect whether the signatories stick to peace. The results demonstrate that, even when excluded rebel groups engage in conflict, this does not affect the signatories' commitment to peace. Hence, the findings suggest that partial peace is possible.
Style Effects in the Cross-Section of Stock Returns

Using CRSP stock and mutual fund data, we find strong evidence for reversals at the style level (e.g., large value, small growth, etc.). There are significant excess and risk-adjusted returns for stocks in styles characterized by the worst past returns and net inflows. We also find evidence for momentum and positive feedback trading at the style level. These value and momentum effects are driven neither by fundamental risk nor by stock-level reversals and momentum. Taken together, the results are consistent with the style-level positive feedback trading model of Barberis and Shleifer (2003).
Cancer Stem Cells and Aldehyde Dehydrogenase 1 in Liver Cancers

The cancer stem cell (CSC) theory posits that a small population of cells with stem celllike features is responsible for tumor growth, resistance, and recurrence in many malignancies. This theory could be a useful paradigm for designing innovative targeted drug therapies. Liver cancer is the fifth most common cancer worldwide, with hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA) as the predominant forms. Hepatic stem/progenitor cells are believed to be the origin of HCCs and CCAs; however, this remains a controversial topic. Aldehyde dehydrogenase (ALDH) is the main enzymatic system responsible for the clearance of acetaldehyde from the hepatocytes in the liver tissue. Therefore, ALDH1 has been suggested to be a potential, biological and CSC marker in liver cancers. We here provide an overview of the current state of knowledge of CSCs in liver and the role of ALDH1 in the development and progression of liver cancers and discuss its potential value as a prognostic and diagnostic biomarker.
Charles-Anyaogu Nneka B Department of Banking and Finance Imo State Polytechnic, Umuagwo

The paper employed econometric tools to analyze time series data sourced from CBN Statistical Bulletin (1980-2009). VAR and Wald tests point out that past value of GDP is significant in explaining the current values of foreign reserves with the causality effect. The model revealed that the EXTR was statistically significant in the current year (-1) but statistically insignificance in the previous years while among the macroeconomic variables only INFR was significant to EXTR. The study upheld that accumulation of foreign reserves does not produce satisfactory returns for Nigeria but effort should be made to create job and enabling environment for openness in trade that in turn increase the GDP of the Nigerian economy.
Some tt* structures and their integral Stokes data

In "Isomonodromy aspects of the tt* equations of Cecotti and Vafa I. Stokes data" (arxiv:1209.2045) we described all smooth solutions of the two-function tt*-Toda equations in terms of asymptotic data, holomorphic data, and monodromy data. In this supplementary article we focus on the holomorphic data and its interpretation in quantum cohomology, and enumerate those solutions with integral Stokes data. This leads to a characterization of quantum D-modules for certain complete intersections of Fano type in weighted projective spaces.
A simple explanation of the linear rms–mean flux relation in accreting objects

Aims. We provide an alternative to existing theories for the origin of linear rms‐mean flux relations observed in a variety of accreting systems, from AGN to white dwarfs. Methods. Standard statistical theory and simulations are used to explore the possibility that the relations are due to simple scaling e ects. Results. The proposed theory can reproduce the unit slope of the rms‐mean flux relation observed in the most extensive study published to date. The close similarity of the fractional variability in di erent objects deserves further study.
Molecular variants of Grapevine rupestris stem pitting-associated virus infecting grapevines (Vitis spp.) in Brazil

Grapevine rupestris stem pitting-associated virus (GRSPaV) is one of the most common viruses of grapevine. It is involved in the graft-transmissible disease rupestris stem pitting of the rugose wood complex. The objective of the research was to perform the molecular characterization of the coat protein (CP) gene of sixteen Brazilian GRSPaV isolates aiming to determine the occurrence of molecular variants (strains) of this virus. Nine grapevine samples were evaluated, from which dsRNA was extracted. Nucleotide sequences were generated by Next generation sequencing (NGS). Fifteen complete sequences of the GRSPaV CP gene were obtained and phylogenetically analyzed. Multiple alignments of the sequences showed identities of nucleotides ranging from 82% to 99%, suggesting high variability among the CPs of Brazilian isolates. The study revealed that genetic variability of GRSPaV comprising three molecular variants is also present in Brazilian grapevine genotypes.Key words: GRSPaV, Foveavirus, strains, lineages, genetic variability. O GRSPaV e um dos virus mais comuns da videira. Esta associado a doenca transmissivel por enxertia denominada caneluras de rupestris que compoe o complexo do lenho rugoso. O objetivo do trabalho foi realizar a caracterizacao molecular do gene da proteina capsidial (CP) de 16 isolados brasileiros de GRSPaV visando determinar a ocorrencia de variantes moleculares desse virus. Nove amostras de videira foram avaliadas das quais foi extraido dsRNA. As sequencias de nucleotideos foram geradas pelo sequenciamento de nova geracao (NGS). Quinze sequencias completas do gene CP de GRSPaV foram obtidas e filogeneticamente analisadas. Os alinhamentos multiplos entre as sequencias mostraram identidades de nucleotideos variando de 82% a 99%, sugerindo alta variabilidade entre as CPs de isolados brasileiros. O estudo revelou que a variabilidade genetica de GRSPaV compreendendo tres variantes moleculares tambem esta presente nos genotipos de videira no Brasil. Palavras-chave: GRSPaV, Foveavirus, estirpes, linhagens, variabilidade genetica.
Inverse Limits of Hochschild-Mostow Inverse Systems

In this paper, we investigate inverse limits of Hochschild-Mostow inverse systems. For example, we show that if (Gi) gi → (Hi) is a mapping of inverse systems of groups, where all the gi are surjective and (Kergi) is a G-compact inverse system, then the limiting map lim gi is surjective. Also we prove that if (Vi ,π ji) is a Hochschild-Mostow inverse system and V= lim Vi, then each projection πi :V → Vi is a closed map. Mathematics Subject Classification: 14L, 16W, 17B45
Phylogeographic and Feeding Ecological Effects on the Mustelid Faunal Assemblages in Japan

Phylogeographic and feeding ecological studies of seven terrestrial mustelid species (Carnivora, Mustelidae), the Japanese marten Martes melampus, the sable Martes zibellina, the Japanese badger Meles anakuma, the ermine or the stoat Mustela erminea, the Japanese weasel Mustela itatsi, the least weasel Mustela nivalis, and the Siberian weasel Mustela sibirica, representing four biogeographic patterns in the Japanese archipelagos (Hokkaido, Honshu-Shikoku-Kyushu, Tsushima, and Hokkaido-Honshu), were reviewed in order to clarify causes for the faunal assemblage processes of those mustelid species in Japan. Here, three main constraints were extracted as important factors on the mustelid assemblage. First, fundamental evolutionary differences maintained by niche conservatism in each ecologically diversified lineage (“evolutionary constraint”) would enable the species to co-occur without any major problem (coexistence among Martes, Meles, and Mustela species). Second, “ecological constraints” would force two closely related species to be allopatric by competitive exclusion (Mu. itatsi and Mu. sibirica) or to be sympatric by resource partitions (Mu. erminea and Mu. nivalis). Third and most importantly, “geological constraints” would allow specific species to be embraced by a particular geographic region, primarily deciding which species co-occurs. The allopatric distribution of two Martes species in Japan would have been established by the strong effect of the geological separation in Tsugaru Strait. Elucidating both phylogeny and ecology of co-existing species in a community assemblage is important to know which species possess distinct lineage and which ecological traits are adapted to local environments, fulfilling the requirement of the field of conservation biology that endemism and adaptation should both be considered. The Japanese archipelagos would, therefore, provide valuable insight into the conservation for small carnivoran species.
Symbolic vs substantive sustainability reporting : examining the influence of company-level characteristics

As sustainability reporting (SR) practices have being increasingly adopted by corporations over the last twenty years, most of the existing literature on SR has stressed the role of external determinants (such as institutional and stakeholder pressures) in explaining this uptake. However, given that recent evidence points to a broader range of motives and uses (both external and internal) of SR, we contend that its role within company-level activities deserves greater academic attention. In order to address this research gap, this paper seeks to provide a more integrated perspective of both institutional and efficiency explanations of SR dynamics, as well as to highlight the role of company-level characteristics in explaining its contribution to sustainability management practices. More specifically, we suggest that substantive SR implementation can be predicted by assessing the level of fit between the organization and the SR framework being adopted. Building on this idea, our theoretical model defines three forms of fit (technical, cultural and political) and identifies organizational characteristics associated to each of these fits. Finally, implications for academic research, businesses and policy-makers are derived.
Schrödinger-Pauli equation for spin-3/2 particles

SE PROPONE UNA ECUACION NO RELATIVISTA PARA PARTICULAS DE ESPIN 3/2 Y SE DETERMINA LA RAZON GIROMAGNETICA PARA PARTICULAS DE ESPIN 3/2 CARGADAS. Abstract A NON-RELATIVISTIC EQUATION FOR SPIN-3/2 PARTICLES IS PROPOSED AND THE GYROMAGNETIC RATIO FOR CHARGED SPIN-3/2 PARTICLES IS DETERMINED.
Privacy Protection Method on Publishing Dynamic Set-Valued Data

After researching many protection methods for releasing sensitive information, we found that differential privacy could provide strong guarantees on it, but it will adding too much noise and spending too much times in releasing dynamic set-valued data. To solve these problems, this paper present a privacy protection method based on Diffpart. For a dataset need to be published, set it by Diffpart algorithm firstly, then using sampling method to sample some nodes and add the Laplace noise to them to protect the sensitive information when dataset needs to be updated. Then, generate a transposing number randomly to adjust the sampling nodes for subsequent update. Through the experiment, compared with the Diffpart algorithm, the method that we raised reached a ideal effect in practicability and protective for data release. Keywords—set-valued data; differential privacy; dynamic release; taxonomy tree; sample
HIV INDETERMINATE WESTERN BLOT RESULTS IN BLOOD DONORS IN NORTHEAST OF IRAN, 2009-2014

Background and Aims: HIV is spreading rapidly among people word wide. Infection with this virus leads to immune suppression and finally acquired immune deficiency syndrome (AIDS). Early HIV detection is depended on antibody screening against virus by Enzyme Linked Immunosorbent Assay (ELISA). Some confirmatory tests such as; Western Blot and Recombinant Immunobloting Assay (RIBA), are used to verify viral infection. Many of confirmatory tests results are indeterminate. The aim of this study is comparing the frequency and patterns of indeterminate results in two groups; blood donors and patients with high risk behaviors, in northeast of Iran. Materials and Methods: From October 2009 to March 2014 total number of 1055 serum samples with previous positive HIV ELISA test history, were tested in our laboratory. Some by RIBA and some by western blot method. Results: Most of indeterminate results belonged to blood donors that were tested by Western Blot analysis and were positive. The most reacting band was P24 in both methods and groups. Conclusion: RIBA assay is more sensitive and reliable than western Blot; but it’s necessary to use other supplementary tests with less indistinctive results.
A Sarsa(λ) Algorithm Based on Double-Layer Fuzzy Reasoning

Solving reinforcement learning problems in continuous space with function approximation is currently a research hotspot of machine learning. When dealing with the continuous space problems, the classic Q-iteration algorithms based on lookup table or function approximation converge slowly and are difficult to derive a continuous policy. To overcome the above weaknesses, we propose an algorithm named DFR-Sarsa(λ) based on double-layer fuzzy reasoning and prove its convergence. In this algorithm, the first reasoning layer uses fuzzy sets of state to compute continuous actions; the second reasoning layer uses fuzzy sets of action to compute the components of Q-value. Then, these two fuzzy layers are combined to compute the Q-value function of continuous action space. Besides, this algorithm utilizes the membership degrees of activation rules in the two fuzzy reasoning layers to update the eligibility traces. Applying DFR-Sarsa(λ) to the Mountain Car and Cart-pole Balancing problems, experimental results show that the algorithm not only can be used to get a continuous action policy, but also has a better convergence performance.
Managing Interoperability & Complexity in Health Systems

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Effect of tai chi on the glucose and functional fitness level among elderly men with hyperglycemia

Background & Study Aim: The results of epidemiological studies suggest that diabetes is significantly more frequent amongst physically inac tive individuals and rarely develops in active subjects. We analyzed the effect of tai chi on individuals with elevated level of glucose. Material & Methods: The participants (25 men aged 61 to 79 years) were randomly assigned to the experimental – “E” (n = 10 with hyperglycemia) or control – “C” group (n = 15 right level of blood glucose). Men from “E” group had reported hyperglycemia and “C” group had normal level of glucose. Every subjects participated in an 18-week exercise class held twice a week. The level of glucose was measured using Cormay tests. Lower body strength, aerobic endurance and dynamic balance was measured on the basis of tests from the Senior Fitness Test. Results: The reduction in the level of glucose (from 159.0 mg/dl to 133.4 mg/dl) observed in group “E” was likely a consequence of increased uptake of this sugar by skeletal muscles. Also the results of all three tests of functional fit ness (chair stand, 2-Min Step and 8 foot up and go) markedly improved in both groups (main effect from F = 21.0 to F=66.6; p≤0.01). Conclusions: The proposed training regimen met our expectations and, therefore, we can conclude that tai chi can improve the components of health and physical function in men with hyperglycemia. In patients with hyperglycemia, glucose was decreased (among healthy subjects did not change) and muscle strength, endurance, and dynamic balance increased as in healthy after training.
Theoretical Study of the Correlation between 14N NQCC and Its Partial Atomic Charge in Amino Derivatives of Adamantane

The electronic structures and the electrostatic potential of some amino derivatives of adamantane have been studied using the density functional theory. The partial atomic charges and nuclear quadrupole coupling constants (NQCC) of 14N nucleus of the considered molecules have been reported. The partial atomic charges are calculated with two methods for 14N nucleus: Mulliken charges and natural bond orbital (NBO). All of the computations were carried out with the Gaussian 03 program and the B3LYP/6-311++G (d, p) level of theory. The results of both methods have reasonably good correlation with NQCC parameter, but the correlation between NBO charges and NQCC of 14N nucleus has been suggested is much better.
The Key Technology Research on Privacy Protection Based on Big Data

Big data is a research focus in the academic and industrial circles currently, which is affecting people's daily life-style, work habits and thinking modes. But at present, the big data is confronted with many security risks in the collection, storage and use processes, privacy disclosure caused by data bring serious problems to the users, false data will lead to wrong or invalid analysis results of big data. Technical challenges that the realization of security and privacy protection of big data faces are analyzed in this paper, and several key technologies and its latest progress are compiled. This article points out when the big data introducing safety problems, it is the effective means to solve the problem of information security as well.
Seqfam: A python package for analysis of Next Generation Sequencing DNA data in families

This article introduces seqfam , a python package which is primarily designed for analysing next generation sequencing (NGS) DNA data from families with known pedigree information in order to identify rare variants that are potentially causal of a disease/trait of interest. It uses the popular and versatile Pandas library, and can be straightforwardly integrated into existing analysis code/pipelines. Seqfam can be used to verify pedigree information, to perform Monte Carlo gene dropping, to undertake regression-based gene burden testing, and to identify variants which segregate by affection status in families via user-defined pattern of occurrence rules. Additionally, it can generate scripts for running analyses in a “MapReduce pattern” on a computer cluster, something which is usually desirable in NGS data analysis and indeed “big data” analysis in general. This article summarises how seqfam’s main user functions work and motivates their use. It also provides explanatory context for example scripts and data included in the package which demonstrate use cases. With respect to verifying pedigree information, software exists for efficiently calculating kinship coefficients, so seqfam performs the necessary extra steps of mapping pedigrees and kinship coefficients to expected and observed degrees of relationship respectively. Gene dropping and the application of variant pattern of occurrence rules in families can provide evidence for a variant being causal. The authors are unaware of other software which performs these tasks in familial cohorts, so seqfam fulfils this need. Gene burden rather than single marker tests are often used to detect rare causal variants due to greater power. Seqfam may be an attractive alternative to existing gene burden testing software due to its flexibility, particularly in grouping and aggregating variants.