Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the effects of information sources on individual earning rates in the South Korean stock market

Since the introduction of the Korea Stock Exchange, individual investors have been some of the most important players in the stock market. With the subsequent introduction of the Internet and online trading systems in South Korea in 1997, the participation of individual investors in the Korean stock market has greatly expanded. However, few studies have investigated their activities and earning rates. To address this research shortcoming, this study investigates the antecedents of individual investors’ earning rates in the Korea stock market by employing multiple constructs of information channels and perceived usefulness. Structural equation modelling (SEM) analysis of survey data collected from 1555 individual investors reveals that the information quality of online trading systems and of companies’ public announcements largely determines the individual investors’ perceptions of their usefulness, whereas the information quality of two Internet channels (Internet news and other web pages) only moderately affects perceived usefulness. Additionally, the information quality of two TV channels significantly affects perceived usefulness, but the effects are weaker than for the other channels. In addition, our findings confirm a close relationship between the perceived usefulness of information and individual investors’ earning rates. Last, we discuss the implications and present suggestions for future research.
Association of BSG genetic polymorphisms with atherosclerotic cerebral infarction in the Han Chinese population

The Basigin (BSG, also known as CD147/extracellular matrix metalloproteinase inducer) belongs to the immunoglobulin superfamily (IgSF). It is a cellular receptor for cyclophilin A (CypA), and is originally known as tumor cell collagenase stimulatory factor (TCSF), which could abundantly expressed on the surface of tumor cells, haematopoietic, monocytes, epithelial endothelial cells and smooth muscle cells. Accumulating evidence showed that BSG played an important role in stimulating the secretion of matrix metalloproteinases (MMPs), which has been reported to be involved in the development of atherosclerosis. Since atherosclerosis is an important risk factor for atherosclerotic cerebral infarction (ACI), we speculate that BSG genetic polymorphisms may influence formation of atherosclerosis and then development of ACI. This study aimed to detect the potential association of the single nucleotide polymorphisms (SNP, −631 G > T, −318 G > C, 10141 G > A and 10826 G > A) of BSG gene in Hunan Han Chinese population with ACI. We genotyped 199 ACI patients and 188 matched healthy controls for the four BSG SNP by method of matrix-assisted laser desorption/ionization-time-offlight mass spectrometry (MALDI-TOF MS). Our results suggested that all the polymorphisms were observed in the subjects from Changsha area of Hunan Province. However, no significant difference was observed between the distribution of these SNP in cases and controls. Therefore, we speculate that BSG genetic polymorphisms might not be an important factor in the development of ACI in our Chinese Han population.
Development of a Novel Recombinant Disintegrin, Contortrostatin, as an Effective Anti-Tumor and Anti-Angiogenic Agent

Contortrostatin (CN) (Mr 13,500 Da) is a novel homodimeric disintegrin isolated from the venom of Agkistrodon contortrix contortrix (Southern Copperhead) snake and displays two RGD motifs (one on each chain), which modulate its interaction with integrins on tumor cells and angiogenic vascular endothelial cells. In previous studies, we have shown that native CN administered in a liposomal formulation exhibits potent anti-angiogenic and tumor growth inhibitory activities. Current isolation of the protein from crude venom is difficult and prohibitively expensive for translation into the clinic. In this report, we describe a method amenable to large-scale production of a soluble monomeric form of recombinant CN with biologic activity; the protein is expressed directly in the cytoplasm of an engineered bacterial system with an expression yield of approximately 20 mg/l of culture. We present here the in vitro assays as well as the anti-tumor and anti-angiogenic evaluation of liposomal recombinant CN in an orthotopic, xenograft model of human breast cancer.
Efficacy of ciprofloxacin in experimental arthritis caused by Escherichia coli--in vitro-in vivo correlations.

Ciprofloxacin, a new carboxyquinolone, has potent in vitro bactericidal activity against the major aerobic, gram-negative bacillary pathogens that cause human pyoarthroses. We investigated the in vivo efficacy of ciprofloxacin in a rabbit model of septic arthritis due to Escherichia coli. Animals received either ciprofloxacin (80 mg/kg per day) or gentamicin (5 mg/kg per day). Ciprofloxacin was rapidly bactericidal in vivo and was significantly more effective in reducing the numbers of E. coli in synovial tissue than was gentamicin at days 10 and 17 of therapy (P less than .0005 and P less than .05, respectively). Similarly, ciprofloxacin was significantly more active than was gentamicin in reducing the numbers of E. coli in joint fluid on day 10 of therapy (P less than .0005); however, by day 17 of therapy, the numbers of E. coli in joint fluid were not significantly different in the two therapy groups. Neither regimen was effective in preventing the development of postinfectious inflammatory synovitis. There was no in vivo development of resistance to either antibiotic during therapy. Ciprofloxacin therapy was associated with significantly higher bactericidal titers in serum and joint fluid than were observed with gentamicin therapy (P less than .0005). Ciprofloxacin warrants further in vivo evaluation in invasive E. coli infections.
Design of a pedagogical model to promote knowledge generation in virtual communities

This article presents a pedagogical model specifically designed to encourage the generation of shared knowledge among participants in a virtual community and the process followed to develop it. The model is based on three pillars: 1) structured learning resources that allow individual and collaborative work by the user; 2) game mechanics that increase participation in the community; 3) dynamisation of the community by the community manager or facilitator. The model was developed starting with a literature review of open learning systems, and specifically, massive online open courses. This review served as a basis to design a specific tool to assess these courses and identify best practices. The tool was subjected to an inter-rater evaluation process prior to its application.
Extraction of Significant Patterns from Heart Disease Warehouses for Heart Attack Prediction

Summary The diagnosis of diseases is a significant and tedious task in medicine. The detection of heart disease from various factors or symptoms is a multi-layered issue which is not free from false presumptions often accompanied by unpredictable effects. Thus the effort to utilize knowledge and experience of numerous specialists and clinical screening data of patients collected in databases to facilitate the diagnosis process is considered a valuable option. The healthcare industry gathers enormous amounts of heart disease data that regrettably, are not “mined” to determine concealed information for effective decision making by healthcare practitioners. In this paper, we have proposed an efficient approach for the extraction of significant patterns from the heart disease warehouses for heart attack prediction. Initially, the data warehouse is preprocessed to make it appropriate for the mining process. After preprocessing, the heart disease warehouse is clustered using the K-means clustering algorithm, which will extract the data relevant to heart attack from the warehouse. Subsequently the frequent patterns are mined from the extracted data, relevant to heart disease, using the MAFIA algorithm. Then the significant weightage of the frequent patterns are calculated. Further, the patterns significant to heart attack prediction are chosen based on the calculated significant weightage. These significant patterns can be used in the development of heart attack prediction system.
Searching for new physics in c → u transitions

Rare decays are processes suppressed in the Standard Model (SM) which happen only at loop level. As new particles could contribute in the loops at the same level as the Standard Model, these decays are very sensitive to new physics. In particular, we consider the rare decay Λc → pμ+μ− which is a c → u`+`− flavour changing neutral current forbidden at a tree level in the Standard Model. A search for this decay is performed with data collected by the LHCb in 2016, at a center of mass energy of √ s = 13 TeV corresponding to 1.66 fb−1 of integrated luminosity. Two strategies are investigated: promptly produced Λc candidates or coming from the semi-leptonic Λb → Λc μν̄μ decay. Two normalisation channels are also investigated: the Λc → pK−π+ or Λc → pφ(→ μ+μ−) decay. The optimal configuration is found to be the prompt production mode combined with the Λc → pφ(→ μ+μ−) normalisation channel. Using the CLS method, an expected upper limit is set at B(Λc → pμ+μ−) < 9.67× 10−8.
Socioeconomic Impacts of Cross-Border Transport Infrastructure Development in South Asia

Although the overall economic performance of economies in South Asia in recent years has been impressive, there is concern that an aging and increasingly inadequate infrastructure may limit the potential for further growth and economic development. A critical infrastructure component is the transportation network, and there are currently several transportation infrastructure projects in the South Asia Subregional Economic Cooperation (SASEC) region, connecting Nepal, eastern India, Bangladesh, and Bhutan. This paper uses computable general equilibrium (CGE) methods to address how these infrastructure developments might affect the broader economy in SASEC, and in particular impact on income distribution and poverty. The paper describes a new CGE model for South Asia, covering India, Sri Lanka, Bangladesh, Nepal, and Pakistan, which incorporates modifications to household structure in order to capture the implications of reform for changes in intra-household income. The scenarios that are considered reflect proposed investments in land transport infrastructure in the SASEC region. These should result in reductions in the land transport component of international transport margins, which vary bilaterally by commodity. We found that all SASEC economies would benefit from the reductions in terms of aggregate welfare, with the largest gains accruing to India in absolute terms, but the largest relative gains to Nepal, followed by Bangladesh and Sri Lanka when the margin reduction is prorated to intra-South Asian trade rather than just SASEC. In terms of household level distribution, the picture was mixed, with clearly pro-poor outcomes in some countries, such as Nepal, but more ambiguous impacts in others. In terms of potential adjustment costs, examination of the extent of predicted structural changes suggests that these would be minor, although somewhat more significant for the smaller economies in the region.
Motor ‘surround inhibition’ is not correlated with activity in surround muscles

Surround inhibition (SI) is a neural process that has been extensively investigated in the sensory system and has been recently probed in the motor system. Muscle‐specific modulation of corticospinal excitability at the onset of an isolated finger movement has been assumed to reflect the presence of SI in the motor system. This study attempted to characterise this phenomenon in a large cohort of normal volunteers and investigate its relationship with muscle activity in the hand. Corticospinal excitability of the pathways projecting to three hand muscles [first dorsal interosseus (FDI), abductor pollicis brevis (APB) and abductor digiti minimi (ADM)] and electromyographic (EMG) activity of the same muscles were assessed in 31 healthy volunteers during an isolated index finger movement. In the agonist FDI muscle both corticospinal excitability and EMG activity were found to be increased at the onset of the movement (P < 0.001 and P < 0.001, respectively). On the contrary, in the surround ADM, there was dissociation between the corticospinal excitability (decreased: P < 0.001) and EMG activity (increased: P < 0.001). Cross‐correlation analysis of the EMG activity showed that neuronal signals driving the agonist and surround muscles are not synchronised when SI is present. The results suggest a distinctive origin of the neuronal signals driving the agonist and surround muscles. In addition, they indicate that cortical output might be simultaneously modulated by voluntary and non‐voluntary activity, generated in cortical and subcortical structures, respectively.
Predicate Callback Summaries

One of the challenges to analyze, test and debug Android apps is that the potential execution orders of callbacks are missing from the apps' source code, however, bugs, vulnerabilities and refactoring transformations have been found to be related to callback sequences. Existing work on control flow analysis of Android apps focuses on analyzing GUI behaviors. Our observation is that orthogonal to GUI, the Android API methods also play an important role in determining the order of callbacks, and previously, the APIs were modeled manually in an ad-hoc way. This paper presents a complementary solution of constructing program paths for Android apps. We proposed a specification called Predicate Callback Summary (PCS) that represents the callback control flow information (including callback sequences as well as the conditions the callbacks are invoked) in Android API methods. Our experiments show we can compute PCSs with reasonable accuracy and scalability and use them to build inter-callback control flow graphs for apps. Our detailed experimental data are available at: http://www.cs. iastate.edu/~weile/toolsdata/SummarizeAndroidFramework/lithium.html.
Crack cocaine, disease progression, and mortality in a multicenter cohort of HIV-1 positive women

Background:Longitudinal associations between patterns of crack cocaine use and progression of HIV-1 disease are poorly understood, especially among women. This study explores relationships between crack use and HIV-1 disease outcomes in a multicenter cohort of infected women. Methods:Subjects were 1686 HIV-seropositive women enrolled at six US research centers in the Women's Interagency HIV Study. Approximately 80% were non-white and 29% used crack during the study period. Cox survival and random regression analysis examined biannual observations made April 1996 through September 2004. Outcome measures included death due to AIDS-related causes, CD4 cell count, HIV-1 RNA level, and newly acquired AIDS-defining illnesses. Results:Persistent crack users were over three times as likely as non-users to die from AIDS-related causes, controlling for use of HAART self-reported at 95% or higher adherence, problem drinking, age, race, income, education, illness duration, study site, and baseline virologic and immunologic indicators. Persistent crack users and intermittent users in active and abstinent phases showed greater CD4 cell loss and higher HIV-1 RNA levels controlling for the same covariates. Persistent and intermittent crack users were more likely than non-users to develop new AIDS-defining illnesses controlling for identical confounds. These results persisted when controlling for heroin use, tobacco smoking, depressive symptoms, hepatitis C virus coinfection, and injection drug use. Conclusion:Use of crack cocaine independently predicts AIDS-related mortality, immunologic and virologic markers of HIV-1 disease progression, and development of AIDS-defining illnesses among women.
Natural truncation of RANTES abolishes signaling through the CC chemokine receptors CCR1 and CCR3, impairs its chemotactic potency and generates a CC chemokine inhibitor

Selective leukocyte trafficking towards sites of inflammation is mediated by chemokines. RANTES is a CC chemokine that attracts lymphocytes, monocytes, dendritic cells, eosinophils, basophils and NK cells. A natural form of human RANTES lacking two N‐terminal residues was isolated from stimulated sarcoma cells, fibroblasts, and leukocytes. RANTES(3 – 68) showed a more than tenfold reduction in chemotactic potency for monocytes and eosinophils. To elucidate the mechanism involved, receptor recognition studies were performed. In cells transfected with the CC chemokine receptor (CCR) 5, the major co‐receptor for macrophage‐tropic HIV‐1 strains, RANTES(3 – 68) mobilized calcium and desensitized RANTES(1 – 68)‐induced calcium fluxes equally well as RANTES(1 – 68). However, RANTES(3 – 68) was ineffective on CCR1 and CCR3 transfectants. The reduced potency of natural RANTES(3 – 68) by selective loss of receptor‐activating characteristics was confirmed with recombinant RANTES(3 – 68). In chemotaxis assays using monocytic cells, RANTES(3 – 68) inhibited RANTES(1 – 68), macrophage inflammatory protein‐1α (MIP‐1α), MIP‐1β or monocyte chemotactic protein‐3 (MCP‐3), but not MCP‐1‐ or MCP‐2‐induced chemotaxis. Thus, a minor post‐translational modification has a remarkable impact on the biological activities of RANTES and a pathophysiologically induced change in the relative amounts of intact and truncated RANTES might affect the outcome of inflammation or HIV infection.
Annie Waldherr and Nanda Wijermans ( 2013 ) Communicating Social Simulation Models to Sceptical Minds

When talking to fellow modellers about the feedback we get on our simulation models the conversation quickly shifts to anecdotes of rejective scepticism. Many of us experience that they get only few remarks, and especially only little helpful constructive feedback on their simulation models. In this forum paper, we give an overview and reflections on the most common criticisms experienced by ABM modellers. Our goal is to start a discussion on how to respond to criticism, and particularly rejective scepticism, in a way that makes it help to improve our models and consequently also increase acceptance and impact of our work. We proceed by identifying common criticism on agent-based modelling and social simulation methods and show where it shifts to rejection. In the second part, we reflect on the reasons for rejecting the agent-based approach, which we mainly locate in a lack of understanding on the one hand, and academic territorialism on the other hand. Finally, we also give our personal advice to socsim modellers of how to deal with both forms of rejective criticism.
Multi-Physics Modeling and Finite Element Approximation of Charge Flow in Ionic Channels

This communication deals with the mathematical modeling and numerical simulation of charge transport in single-cell ionic channels. The adopted model consists of a coupled system comprising the Poisson-Nernst-Planck and the Navier-Stokes equations. Suitable functional iteration techniques are used to successively solve the model equations, and stable and conservative finite element methods are employed for the discretization of each linearized problem arising from decoupling. Models and computational techniques are validated on the numerical simulation of a two-dimensional ionic channel under several working conditions
Affinity Clustering: Hierarchical Clustering at Scale

Graph clustering is a fundamental task in many data-mining and machine-learning pipelines. In particular, identifying a good hierarchical structure is at the same time a fundamental and challenging problem for several applications. The amount of data to analyze is increasing at an astonishing rate each day. Hence there is a need for new solutions to efficiently compute effective hierarchical clusterings on such huge data. The main focus of this paper is on minimum spanning tree (MST) based clusterings. In particular, we propose affinity, a novel hierarchical clustering based on Boruvka's MST algorithm. We prove certain theoretical guarantees for affinity (as well as some other classic algorithms) and show that in practice it is superior to several other state-of-the-art clustering algorithms. Furthermore, we present two MapReduce implementations for affinity. The first one works for the case where the input graph is dense and takes constant rounds. It is based on a Massively Parallel MST algorithm for dense graphs that improves upon the state-of-the-art algorithm of Lattanzi et al. (SPAA 2011). Our second algorithm has no assumption on the density of the input graph and finds the affinity clustering in $O(\log n)$ rounds using Distributed Hash Tables (DHTs). We show experimentally that our algorithms are scalable for huge data sets, e.g., for graphs with trillions of edges.
Genetic Diversity among ArthrobacterSpecies Collected across a Heterogeneous Series of Terrestrial Deep-Subsurface Sediments as Determined on the Basis of 16S rRNA and recA Gene Sequences

ABSTRACT This study was undertaken in an effort to understand how the population structure of bacteria within terrestrial deep-subsurface environments correlates with the physical and chemical structure of their environment. Phylogenetic analysis was performed on strains of Arthrobacter that were collected from various depths, which included a number of different sedimentary units from the Yakima Barricade borehole at the U.S. Department of Energy's Hanford site, Washington, in August 1992. At the same time that bacteria were isolated, detailed information on the physical, chemical, and microbiological characteristics of the sediments was collected. Phylogenetic trees were prepared from the 39 deep-subsurfaceArthrobacter isolates (as well as 17 related type strains) based on 16S rRNA and recA gene sequences. Analyses based on each gene independently were in general agreement. These analyses showed that, for all but one of the strata (sedimentary layers characterized by their own unifying lithologic composition), the deep-subsurface isolates from the same stratum are largely monophyletic. Notably, the layers for which this is true were composed of impermeable sediments. This suggests that the populations within each of these strata have remained isolated under constant, uniform conditions, which have selected for a particular dominant genotype in each stratum. Conversely, the few strains isolated from a gravel-rich layer appeared along several lineages. This suggests that the higher-permeability gravel decreases the degree of isolation of this population (through greater groundwater flow), creating fluctuations in environmental conditions or allowing migration, such that a dominant population has not been established. No correlation was seen between the relationship of the strains and any particular chemical or physical characteristics of the sediments. Thus, this work suggests that within sedimentary deep-subsurface environments, permeability of the deposits plays a major role in determining the genetic structure of resident bacterial populations.
Effects of Acid Adaptation, Product pH, and Heating on Survival of Escherichia coli O157:H7 in Pepperoni

ABSTRACT The thermotolerance of E. coli O157:H7 cells (strain 380-94) heated in pepperoni is reported. Information on the pattern of thermal inactivation of E. coli O157:H7 in pepperoni was applied in the development of heating processes designed to reduceE. coli O157:H7 numbers therein by 5 log10units.