Miracle-dz/UniFAR-FTUs huggingface dataset:
INTERACTION BETWEEN GAS DYNAMIC AND GEOMECHANICAL PROCESSES IN COAL MINES

The aim of this work is to provide safety of underground mining upon intensive excavation of coal measures of flat gas bearing seams at Kotinskaya mine, AO SUEK-Kuzbass. Current approaches to estimation of methane emission under the influence of geomechanical processes at excavating sites are analyzed. Methane bearing capacity of long wall, extraction area and goaf is analyzed as a function of load on longwall faces in the course of mining operations both in the boundaries of area and in the boundaries of field of Kotinskaya Mine. It is demonstrated that complicated character of investigation into interaction between geomechanical and gas dynamic processes in natural conditions is stipulated by low working rhythm of longwall faces. Interaction of gas emission into goaf and mined-out extraction area with roof caving incrementsat Kotinskaya Mine is determined. Significant variation of lithology and physicomechanical properties in the boundaries of extraction areas of Kotinskaya Mine is demonstrated with the consequence of necessity to differentiate zones along the length of extraction area upon calculation of roof caving increments. The performed studies have demonstrated the necessity to account for roof caving increments upon forescat of gas emission and selection of reasonable management parameters of methane emission into mined-out extraction areas.
Reconstructing fire regimes in tundra ecosystems to inform a management-oriented ecosystem model

We reconstructed fire history in one of the most flammable tundra ecosystems in Alaska, the Noatak River watershed, and interpreted records in the context of local vegetation change and regional climate. We also developed models linking monthly weather conditions to annual area burned in Alaskan tundra from 1950-2008. Both objectives served the additional goal of improving the Boreal ALFRESCO model, an ecosystem model representing vegetation change as a function of climate and disturbance by fire. Fossil pollen records indicate that tundra vegetation in the Noatak study area showed subtle shifts over the past 6000 years, likely in response to previously-described millennial-scale variations in relative moisture (precipitation evaporation). Different patterns between sites suggest that local factors modified the impacts of regional dryness ca. 4000 years ago and subsequent increases in relative moisture. Estimated fire return intervals (FRIs) since 6000 years before present (yr BP) varied from 30 to 720 years, with mean FRIs (summarized over 2000-yr periods) varying from 120 to ca. 500 years. These millennial-scale changes in mean FRIs were significantly linked to changes in vegetation, suggesting that white spruce, shrub birch, and grasses are associated with increased fire risk, whereas alder is associated with decreased fire risk. The taxonomic makeup of future tundra ecosystems, therefore, could have important impacts on fire risk. When characterized over the past 2000 years, estimated FRIs were shorter (average 134 yr [95% CI 109-162]) at warmer sites with greater tussock-shrub tundra abundance than at cooler, up-valley sites with a greater abundance of low shrub-tundra (mean FRI 295 yr [189-415]). Results from modern fire-climate analyses indicate that annual area burned can be largely explained with climate variables representing summer temperature and precipitation (r2> 0.83). Models linking historical climate with tundra area burned in combination with estimated FRIs from the paleo data were used to parametrize tundra regions represented by the Boreal ALFRESCO model. Comparisons between historical simulation and the paleo record from the Noatak study suggest that the newly-informed Boreal ALFRESCO model provides improved estimates of tundra fire occurrence in the Noatak as compared to previous versions.
A review of technology adoption models and research synthesis of pre and post adoption behavior in online shopping ”

The research on e-commerce has gained utmost importance globally including various disciplines like marketing. Therefore, in order to understand the consumer Behaviour in changing technological context the pre and post adoption of technology has become an area of interest for the marketing research scholars, specifically in developing countries. These scholars mainly emphasized on the relationship between technology acceptance and human Behaviour. Majority studies of this kind have deployed the classical models like TRA (Theory of Reasoned Actions), TAM (Technology acceptance Model) and TPB (Theory of Planned Behaviour) for understanding the aforementioned relationship in different areas of technology applications. Further, the past scholars have also modified and validated these models for enhancing their appropriateness with the context considered for the study. In order to understand the state of art literature related with e-commerce adoption in general and e-retailing in specific, this review article aims to synthesize existing work on user acceptance of online shopping which leads to identifying factors that may act as an antecedent to Online shopping intention and adoption process in context of pre-adoption behavior and online shopping usage in context of post adoption behavior. On the basis of the outcomes of this review, the researcher has proposed two conceptual models that examine pre and post adoption behavior. These models would be further validated in the context of online shopping in India.
The fibrinolytic mechanism of defibrotide: effect of defibrotide on plasmin activity

Fibrinolytic activity has been shown to be reduced in many vascular diseases, including hepatic veno-occlusive disease after stem cell transplantation, a microangiopathy characterized by sinusoidal endothelial cell injury. Defibrotide is a polydisperse oligonucleotide with antithrombotic, profibrinolytic, anti-ischemic, and antiadhesive properties. Numerous clinical studies have shown promising activity of defibrotide in the treatment and prevention of veno-occlusive disease, with minimal toxicity. In corollary laboratory studies, defibrotide has been shown to decrease plasminogen activator inhibitor-1, increase tissue plasminogen activator levels, and increase overall plasma fibrinolytic activity in patients. Plasmin, a potent and nonspecific serine protease, plays a pivotal role in fibrinolysis by virtue of its ability to effectively degrade fibrin clots. In this study, defibrotide increases the activity of plasmin in hydrolyzing its substrate in a dose-dependent and length-dependent manner. Similar concentration-dependent effects of defibrotide were observed when plasmin was generated by tissue plasminogen activator or urokinase activation of plasminogen. In contrast, defibrotide had no direct effect on the activation of plasminogen to plasmin. Defibrotide was also able to enhance the activity of plasmin in degrading fibrin clot formed from fibrinogen, plasminogen, and thrombin. This effect was also concentration-dependent and directly correlated with the enzymatic activity of plasmin. This study therefore demonstrates that defibrotide is capable of enhancing the activity of plasmin and so contributes to its fibrinolytic activity. Taken together, these results support the effect of defibrotide in restoring the fibrinolytic vascular phenotype, in microangiopathic conditions such as veno-occlusive disease.
odeling changes in the coastal ecosystem of the Pearl River stuary from 1981 to 1998

The coastal ecosystem of the Pearl River Estuary (PRE) has been overfished and received a high level of combined pollution since the 1980s. Ecopath with Ecosim was used to construct two ecosystem models (for 1981 and 1998) to characterize the food web structure and functioning of the ecosystem. Pedigree work and simple sensitivity analysis were carried out to evaluate the quality of data and the uncertainty of the models. The two models seem reliable with regards to input data of good quality. Comparing the variations of outputs of these two models aimed to facilitate assessment of changes of the ecosystem during the past two decades. The trophic structure of the ecosystem has changed with an increase in the biomass proportion of lower trophic level (TL) organisms and a decrease in top predator biomass proportion. All the indices of ecosystem maturity examined show that the system was in a more mature condition in 1981 than in 1998, although the system has been in a condition of stress due to anthropogenic disturbances, such as environmental pollution and habitat destruction since 1981. The ecosystem was aggregated into six and seven integral TLs in 1981 and 1998, respectively, using the trophic aggregation routine of Ecopath. Most of the total system biomass and catch took place at TL II and III in both years. But the distribution of the total system biomass and catch at different TLs changed with decreasing proportions in higher TLs in 1998. The mean transfer efficiency was 9.1% and 10.2% in 1981 and 1998, respectively. Comparative network analysis allowed quantification of the importance of direct and indirect trophic interactions among functional groups. Moreover, a method derived from the mixed trophic impact (MTI) analysis allowed estimating importance of groups in terms of “keystoneness” and identifying the keystone species in the two models over the past two decades. The results indicate that there were no clear keystone species in 1998 but two keystone species at medium trophic levels were identified in 1981. Moreover, organisms located at low trophic levels such as phytoplankton, zooplankton and benthic invertebrates lativ were identified to have re
The NuA 4 lysine acetyltransferase Esa 1 is targeted to coding regions and stimulates transcription elongation with Gcn 5

*Corresponding author: NIH, Building 6, Room 230, Bethesda, MD 20892, Tel: (301)496-4480; Fax: (301)496-6828; email: ahinnebusch@nih.gov Running title: NuA4 is targeted to ORFs and stimulates elongation
Ontology summarization : an analysis and an evaluation Conference or Workshop Item

Ontology summarization has been recognized as a very useful technique to facilitate ontology understanding and then support ontology reuse as a new or supplementing technique. A number of efforts have emerged lately that apply different criteria, addressing different features of ontology, to extract ontology summaries. However, those efforts are ad-hoc in that there lacks consensus on a number of issues fundamental to the development of the field, such as a definition for ontology summarization, use case scenarios etc. Also, there lack sufficient evaluations and analysis, e.g. comparison among them and with other similar techniques, to provide meaning guidelines for users of this technique. With the aim to provide solutions to those fundamental issues, in this work, we present an analysis of this technique and its approaches. With the help of an objective evaluation method, we investigate what features of ontology are important in ontology summarization.
Cybersecurity: Time Series Predictive Modeling of Vulnerabilities of Desktop Operating System Using Linear and Non-Linear Approach

Vulnerability forecasting models help us to predict the number of vulnerabilities that may occur in the future for a given Operating System (OS). There exist few models that focus on quantifying future vulnerabilities without consideration of trend, level, seasonality and non linear components of vulnerabilities. Unlike traditional ones, we propose a vulnerability analytic prediction model based on linear and non-linear approaches via time series analysis. We have developed the models based on Auto Regressive Moving Average (ARIMA), Artificial Neural Network (ANN), and Support Vector Machine (SVM) settings. The best model which provides the minimum error rate is selected for prediction of future vulnerabilities. Utilizing time series approach, this study has developed a predictive analytic model for three popular Desktop Operating Systems, namely, Windows 7, Mac OS X, and Linux Kernel by using their reported vulnerabilities on the National Vulnerability Database (NVD). Based on these reported vulnerabilities, we predict ahead their behavior so that the OS companies can make strategic and operational decisions like secure deployment of OS, facilitate backup provisioning, disaster recovery, diversity planning, maintenance scheduling, etc. Similarly, it also helps in assessing current security risks along with estimation of resources needed for handling potential security breaches and to foresee the future releases of security patches. The proposed non-linear analytic models produce very good prediction results in comparison to linear time series models.
Huskie Commons Huskie Commons

In this study, we explore personality and situational conditions in which negative leadership— specifically, abusive supervision—is associated with aggressive behavior in subordinates. That is, we examine the role that interactional justice and narcissism play in an employee’s decision to respond aggressively to an abusive supervisor. We demonstrate that interactional justice mediates the relationship between perceptions of abusive supervision and subsequent employee aggression. In addition, we demonstrate that narcissism interacts with interactional justice perceptions to predict workplace aggression. We find that individuals with high levels of narcissism are the employees who are most likely to respond aggressively when they interpret their leader’s behavior as abusive.
Comparative Study of SST-SAS and SST-DDES in Predicting Massively Separated Flow

The main objective of this paper is to evaluate the capability of SST-SAS and SST-DDES to predict massively separated flow. Flow past a circular cylinder at subcritical Reynolds number Re = 3900 is numerically studied. The hybrid characters of SAS and DDES are discussed in principle. Some typical results such as velocity profiles are calculated. Additionally, the effect of the limiter on the performance of SSTSAS is discussed. Both SST-SAS and SST-DDES achieve results in favorable agreement with the experiment data. However, a finer mesh generation is needed for SST-SAS, which means that SST-SAS still remains improvements.
Climate Change for Yangambi Forest Region , DR Congo

1Yangambi INERA, Natural Resources National Research Program, Kinshasa, Congo 2National Legumes Program, INERA Yangambi, Kinshasa, Congo 3Researche and Development Program, INERA Yangambi, Kinshasa, Congo 4Water and Forest Department, Laboratory of Agro-ecology and Ingeneering of environment, Agronomic Faculty Institute (IFA-Yangambi), Kisangani, Congo 5Soil and Water Department, Laboratory of Agroecology, Pedolandscape and Agricultural System, IFAYangambi, Kisangani, Congo 6Ecology and vegetal resources management department, University of Kisangani, DR Congo
Can colour enhance emotional well-being in a primary care non-clinical consulting room ? – A mixed-method study

The potential for colour to influence human emotion and behaviour has received considerable attention in the research community, and more recently, extended to the applied use of colour in the healthcare environment. Although the evidence for colour application in the specialist mental health consulting room is diverse and evaluations infrequent, in context of an occupational transaction, it is proposed that colour and design affect a sense of emotional well-being, and potentially, health outcomes. The purpose of this work, a pragmatic, mixed method parallel design was to ask the question, ‘can colour enhance emotional well-being in a primary care non-clinical consulting room’? Two strands were implemented sequentially, with some cross over. The experimental hypothesis predicted that colour would have an effect on emotional well-being. Quantitative data was collected with Likert type questions measuring response towards wall colour in a UK general medical surgery specialising in hard to reach communities. Three semi-structured focus groups explored qualitatively and quantitatively a sense of emotional well-being in response to interior room colour (n=8). Application of colour as intervention enabled post-test questionnaire (n=18) data to be collected. A limitation of this study is the sample size. However, the strength is potential value for similar specialist surgeries or healthcare environments. Meta inferences indicate that applied colour can enhance emotional well-being, and extensive use of off-white is not recommended without consideration to seating and visual detail. Significance was found for age, depression, and participation in focus groups, which warrants further research.
3 D Exploration of Graph Layers via Vertex Cloning

We use an iterative edge decomposition approach, derived from the popular iterative vertex peeling strategy, to globally split each vertex egonet (subgraph induced by a vertex and its neighbors) into a collection of edge-disjoint layers. Each layer is an edge maximal induced subgraph of minimum degree k that determines the layer density. This edge decomposition is derived completely from the overall network topology, and since each vertex can appear in multiple layers, we can associate to each vertex a vector profile that can be used to identify its different “roles” across the network. This allows us to explore a network’s topology at different levels of granularity, e.g., per layer and across layers. This is only feasible by mapping simultaneously a vertex to a set of 3D coordinates (x, y, and z) where the third coordinate encodes the different layers a vertex belongs to. This is one of the few instances where 3D visualization enhances graph exploration and navigation in an arguably “natural” way: a graph now becomes a 3D graph playground where †abello@dimacs.rutgers. edu *Authors contributed equally ‡fredhohman@gatech.edu §polo@gatech.edu a vertex plays a certain “role” per layer that is determined by the overall network topology. Our approach helps disentangle “hairball” looking embeddings produced by conventional 2D graph drawings.
A Cross-Cultural Assessment of School Connectedness : Testing Measurement Invariance With U . S . and Chile Adolescents

Positive associations between measures of school connectedness and behavioral and academic outcomes suggest that it is an important protective factor for adolescents in the United States. However, little is known about the meaning or measurement of academic connectedness outside the United States, and especially in South America where rapid economic and educational changes are underway. Using the Hemingway: Measure of Adolescent Connectedness measurement invariance analyses were conducted that compared Chile and United States samples. Results revealed that although all scales reflected factorial validity in both cultures, the connectedness to school, teachers, and self-in-the-future factors were noninvariant across groups, whereas the factors of connectedness to peers and self-in-the-present were invariance across groups. Consequently, all of these subscales can be used in both cultures, but comparing United States and Chile youth on three subscales may be ill advised.
Suceptibility of Seven Varieties of Pepper and Tomato to Root-knot Nematodes ( Meloidogyne spp ) in Ibadan , Nigeria

Seven varieties each of pepper and tomato were screened for resistance to root-knot nematodes.The study was conducted at the Nematology laboratory Unit and at the rooftop garden of the Crop Protection and Environmental Biology Department, University of Ibadan, Ibadan Nigeria. Each potted plant was inoculated with a single egg mass of Meloidogyne spp. and harvested six weeks after inoculation. Using the combination of the values of Reproductive Factor (RF) and Galling index (GI), the screened tomato and pepper varieties were rated resistant, susceptible or tolerant to Meloidogyne spp. The pepper varieties rated resistant were Charleston Bell and Carolina Wonder. The pepper varieties rated susceptible to Meloidogyne spp. were Rodo, Tatase, Bawa and Goliath . Sombo variety was rated tolerant to Meloidogyne spp. The results for the seven varieties of tomato indicated that Ibadan Local and Tropmech varieties were susceptible while Big-beef, Jetsetter, Celebrity, Roma VFN and Small-Fry varieties were tolerant to the root-knot nematodes The results indicate the potential availability of resistant rootstocks in the management of root-knot nematodes on peppers and tomatoes. keywords: Root-knot nematodes, Meloidogyne spp, susceptible, resistant, peppers,tomatoes
Freeze dried quince ( Cydonia oblonga ) puree with the addition of different amounts of maltodextrin : physical and powder properties

This study aims to determine the drying behavior of quince puree and as an adverse effect powdered sugar added quince puree with the addition of maltodextrin. The addition of powdered sugar increases the drying time and the total amount of energy and the same time slightly decreases the moisture content and water activity values. The color values and the properties on these values changed both with the addition of maltodextrin and powdered sugar. The density values, flow properties and reconstitution properties are significantly affected by the amount of maltodextrin in plain or powdered sugar added samples.
Mathematical Modelling of Particles in Fluid Flow

This report presents a review of the material covered at the workshop “Mathematical Modelling of Particles in Fluid Flow”. The scope of the workshop was very broad both in terms of the range of problems covered (e.g. aerosol drug inhalation, cementing in oil and gas wells, avalanches, volcanic eruptions, sand dune evolution, etc) and the tools employed to understand the phenomena (e.g. theory guided by in situ observations and laboratory experiments, and various numerical modelling techniques including “level-set methods” and “smoothed particle hydrodynamics”). As well as lectures, group and individual discussions were actively encouraged. In particular, participants were asked to write perhaps more provocative questions on pieces of paper, which were then read and posed to the participants by a moderator on Monday and Wednesday afternoon. At the end of the meeting, the participants were asked to answer several questions on a Google poll. The content of the talks, the discussions, direct feedback and poll results are used to compose the details of this report.
Image Deblurring using L 0 Sparse and Directional Filters

Blind deconvolution refers to the process of recovering the original image from the blurred image when the blur kernel is unknown. This is an ill-posed problem which requires regularization to solve. The naive MAP approach for solving the blind deconvolution problem was found to favour no-blur solution which in turn led to its failure. It is noted that the success of the further developed successful MAP based deblurring methods is due to the intermediate steps in between, which produces an image containing only salient image structures. This intermediate image is essentially called the unnatural representation of the image. L0 sparse expression can be used as the regularization term to effectively develop an efficient optimization method that generates unnatural representation of an image for kernel estimation. Further, the standard deblurring methods are affected by the presence of image noise. A directional filter incorporated as an initial step to the deblurring process makes the method efficient to be used for blurry as well as noisy images. Directional filtering along with L0 sparse regularization gives a good kernel estimate in spite of the image being noisy. In the final image restoration step, a method to give a better result with lesser artifacts is incorporated. Experimental results show that the proposed method recovers a good quality image from a blurry and noisy image.