Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis and Characterization of Nanostructured WCCo / Al Powder Prepared by Mechanical Alloying

Nanostructured WC-Co/Al powder was synthesized from WC-12Co powder and pure Al powder by mechanical alloying (MA). The morphology and microstructural evolution of WC-Co/Al powder were investigated by a series of characterization methods. The results showed that the β-Co phase in the initial WC-12Co powder was replaced by the Al x Co phases (such as Al 9 Co 2 and Al 13 Co 4 ). As the ball milling time increased, the average grain size of WC in the WC-Co/Al powder decreased firstly and then remained at a constant value of around 40 nm. The deposition behavior of powders sprayed by high velocity oxygen fuel (HVOF) spraying was investigated. During spraying, the WC-Co/Al powder had a better flattening than the WC-12Co powder without ball milling, which is beneficial to fabricate compact coatings with lower porosity.
A predictive modelling technique for human population distribution and abundance estimation using remote-sensing and geospatial data in a rural mountainous area in Kenya

This study presents a predictive modelling technique to map population distribution and abundance for rural areas in Africa. Prediction models were created using a generalized regression analysis and spatial prediction (GRASP) method that uses the generalized additive model (GAM) regression technique. Dwelling unit presence–absence was mapped from airborne images covering 98 km2 (30% of the study area) and used as a response variable. Remote-sensing-based (reflectance, texture and land cover) and geospatial (topography, climate and distance) data were used as predictors. For the rest of the study area (228 km2; 70%), GAM models were extrapolated, and prediction maps constructed. Model performance was measured as explanatory power (adj.D 2, adjusted deviance change), predictive power (area under the receiver operator curve, AUC) and kappa value (κ). GAM models explained 19–31% of the variation in dwelling-unit occurrence and 28–47% of the variation in human population abundance. The predictive power for population distribution GAM models was good (AUC of 0.80–0.86). This study shows that for the prediction of dwelling-unit distribution and for human population abundance, the best modelling performance was achieved using combined geospatial- and remote-sensing-based predictor variables. The best predictors for modelling the variability in human population distribution using combined predictors were angular second moment image-texture measurement, precipitation, mean elevation, surface reflectance for Satellite Pour l'Observation de la Terre (SPOT) red and near-infrared (NIR) bands, correlation image-texture measurement and distance to roads, respectively. The population-abundance modelling result was compared with two existing global population datasets: Gridded Population of the World version 3 (GPWv3) and LandScan 2005. The result showed that for regional and local-scale population-estimation probability, models created using remotely sensed and geospatial data were superior compared to GPWv3 or LandScan 2005 data products. Population models had high correlation with Kenyan population census data for 1999 in mountainous sub-locations and low correlation for sub-locations that also extended into the lowlands.
Is Investor Attention for Sale? The Role of Advertising in Financial Markets

Prior research documents capital market benefits of increased investor attention to accounting disclosures and media coverage; however, little is known about how investors and markets respond to attention‐grabbing events that reveal little nonpublic information. We use daily firm advertising data to test how advertisements, which are designed to attract consumers' attention, influence investors' attention and financial markets (i.e., spillover effects). Exploiting the fact that firms often advertise at weekly intervals, we use an instrumental variables approach to provide evidence that print ads, especially in business publications, trigger temporary spikes in investor attention. We further find that trading volume and quoted dollar depths increase on days with ads in a business publication. We contribute to research on how management choices influence firms' information environments, determinants and consequences of investor attention, and consequences of advertising for financial markets.
HUMAN CAPITAL DISCLOSURE AND MARKET CAPITALIZATION

The voluntary disclosure of the intellectual capital occupies an increasingly important place. Thus, it is important to analyze the structure of the information offered on the intellectual capital to understand its management. The author wants to reveal the growing importance of the human capital in increasing the company's wealth and the impact of the voluntary disclosure on market value. These objectives are completed by the use of quantitative and qualitative methodologies. The results show that the investors have exploited the information that reflects the capacity of knowledge and the experience of the management team to generate future profits.
AN OVERVIEW OF THE ACTIVE OPTICS CONTROL STRATEGY FOR THE THIRTY METER TELESCOPE

The primary (M1), secondary (M2) and tertiary (M3) mirrors of the Thirty Meter Telescope (TMT), taken together, have over 10,000 degrees of freedom. The vast majority of these are associated with the 492 individual primary mirror segments. The individual segments are converted into the equivalent of a monolithic thirty meter primary mirror via the Alignment and Phasing System (APS) and the Primary Mirror Control System (M1CS). In this paper we first provide an introduction to the TMT. We then describe the overall optical alignment and control strategy for the TMT and follow up with additional descriptions of the M1CS and the APS. We conclude with a short description of the TMT error budget process and provide an example of error allocation and predicted performance for wind induced segment jitter.
Annals of Clinical Case Reports

Objective: To predict the risk of Deep Venous Thrombosis (DVT) in patients with Coronavirus Disease 2019 (COVID-19) after routine anticoagulation using logistic regression, Support Vector Machine (SVM) and neural network models. Methods: The Hospital Information System was used to obtain patients’ data based on the Virchow triad. The data were randomly divided into training (70%) and testing (30%) sets. Logistic regression, SVM models and neural networks were also considered. Based on the testing data, each model’s performance was evaluated using confusion matrices for the prediction, sensitivity, area under the curve and F1 score. Results: A dataset with 357 patients with COVID-19 was used, and 172 (48.4%) of them developed lower extremity DVT. A 15-variable model was examined. The area under the receiver operating characteristic curve of logistic regression, SVM and neural network was 0.844 (95% Confidence Interval [CI]: 0.773, 0.916), 0.781 (95% CI: 0.689, 0.872) and 0.879 (95% CI: 0.814, 0.945), respectively. DeLong’s test showed no statistical significance in the ROC between different models. Conclusion: Three prediction models were created using the Machine Learning (ML) algorithm, which could predict the DVT risk in COVID-19 patients. This study shows that ML may be crucial in estimating the risk of DVT in patients with COVID-19 and provides a reference for improving the accuracy of predicting the risk of DVT.
Investigating the effect of information on mobile banking acceptance barriers

Article history: Received March 20, 2014 Accepted 5 July 2014 Available online August 14 2014 This paper presents an empirical investigation on how information and guidance offered by the bank influence on the barriers to adoption of mobile banking. Data were collected from a questionnaire from college students who attend Islamic Azad university in city of Tehran, Iran. Structural equation modeling of data from 425 respondents was used to test 5 hypotheses. The results show the information and instructions offered by bank have negative effect on 5 evaluated barriers including usage, value, risk, tradition and image to adoption of mobile banking. © 2014 Growing Science Ltd. All rights reserved.
Massive open star clusters using the VVV survey IV. WR 62-2, a new very massive star in the core of the VVV CL041 cluster

Context The ESO Public Survey VISTA Variables in the V\'ia L\'actea (VVV) provides deep multi-epoch infrared observations for an unprecedented 562 sq. degrees of the Galactic bulge and adjacent regions of the disk. Nearly 150 new open clusters and cluster candidates have been discovered in this survey. Aims We present the fourth article in a series of papers focussed on young and massive clusters discovered in the VVV survey. This article is dedicated to the cluster VVV CL041, which contains a new very massive star candidate, WR 62-2. Methods Following the methodology presented in the first paper of the series, wide-field, deep JHKs VVV observations, combined with new infrared spectroscopy, are employed to constrain fundamental parameters (distance, reddening, mass, age) of VVV CL041. Results We confirm that the cluster VVV CL041 is a young (less than 4 Myrs) and massive (3 +/- 2 x 10^3 Msol) cluster, and not a simple asterism. It is located at a distance of 4.2 +/- 0.9 kpc, and its reddening is A_V = 8.0 +/- 0.2 mag, which is slightly lower than the average for the young clusters towards the centre of the Galaxy. Spectral analysis shows that the most luminous star of the cluster, of the WN8h spectral type, is a candidate to have an initial mass larger than 100 Msol.
A Novel DDoS Attack Detection Based on Gaussian Naive Bayes

Distributed Denial of Service (DDoS) is a type of attack using the volume, intensity, and more costs mitigation to increase in this era. Attackers used many zombie computers to exhaust the resources available to a network, application or service so that authorized users cannot gain access or the network service is down, and it is a great loss for Internet users in computer networks affected by DDoS attacks. This research proposed to develop a new approach to detect DDoS attacks based on network traffic activity were statistically analyzed using Gaussian Naive Bayes method. Data will be extracted from training and testing of network traffic in a core router at Master of Information Technology Research Laboratory Ahmad Dahlan University Yogyakarta (MITRLADUY). The new approach in detecting DDoS attacks is expected to be a relation with Intrusion Detection System (IDS) to predict the existence of DDoS attacks based on average and standard deviation of network packets in accordance with the Gaussian method.
Evidence for Use of Alliaria petiolata in North America by the European Cabbage White Butterfly, Pieris rapae

Pieris rapae L. , an invasive crop pest, may have recently begun using Alliaria petiolata Bieb. (Cavara & Grande), a European invasive biennial. We investigated how P. rapae uses forest habitats for nectar and oviposition and examined larval performance on A. petiolata in the field and laboratory. Being known primarily to occupy open habitats, we found that P. rapae regularly uses forest edge habitats, most surveyed A. petiolata plants had P. rapae damage, and P. rapae successfully used both stages of A. petiolata for larval development.
Dissatisfaction of Malamulele residents with service delivery in Malamulele area, Limpopo Province : a sociological investigation

The study sought to investigate the problem of dissatisfaction by residents of Malamulele in Thulamela Local Municipality (LM) with service delivery. The dissatisfaction of the residents manifested in violent protests in Malamulele and surrounding communities where citizens demanded to have their own municipality separate from Thulamela LM. Residents alleged that the Thulamela LM gives preference to Thohoyandou area and surrounding communities on issues of governance and service delivery while neglecting Malamulele. The problem under study was viewed from a social exclusion and relative deprivation points of view, which elucidate possible causes of dissatisfaction and resultant protests. The study adopted a qualitative research design where data was collected through interviews with sampled residents that were purposively selected took into consideration the manner in which the sample would assist in providing data towards achieving the aim and objectives of the study. Data was analysed using the thematic method of analysis where themes and categories emerged to assist in interpreting the data. Based on the findings of the study, recommendations were made. Some of the key findings were that Malamulele residents were dissatisfied with poor service delivery and poor governance by Thulamela LM, the violent protests were due to poor service delivery and tribalism and poor service delivery, Malamulele residents needed their own municipality, and that the relationship between the Venda-speaking people and Tsonga-speaking people is bad. Some of the key recommendations are leaders should engage communities to manage their hopes and expectations from government, exercising Constitutional rights should not result in devastating government property and violence, and citizens should be consulted in policy-making and other government activities that involve them. It is believed that these recommendations will go a long way to address similar problems and to enhance literature on the ongoing debate on governance and service delivery issues.
Incidence of respiratory infections and the roles of husbandry practice on the productivity of small ruminants in Northern Cameroon

The role of husbandry practice and incidence of respiratory pathogens (Mycoplasma capricolum subsp. capripneumoniae [Mccp], Pasteurella multocida [MP] and Peste des petits ruminant virus [PPRV]) were investigated among 13 flocks consisting of 300 goats and 200 sheep in the Northern Cameroon. The variables investigated were introduction of new stock into flock, morbidity, mortality, destocking, routine tissue culture rinderpest vaccine (TCRV) vaccination and rearing of small ruminants with other animals species. Introduction of new stock was not commonly practiced by flock owners and animals in the flocks received routine TCRV vaccination. Slaughtering and sale of sick animals were the commonest means of destocking. These correlated positively with morbidity and mortality rates in all the flocks investigated. Attempts at recovery of respiratory pathogens from nasal swabs of the experimental animals revealed the following isolates: Mycoplasma (small colony) from 27% of goats and 0% of sheep; MP from 18% of goats and 5% of sheep; Mycoplasma (large colony) from 6% of goats and 10% of sheep. None of the swabs shows peste des petit ruminants virus (PPRV) isolate. The difference in the pathogen recovery rate between sheep and goat was significant. It has correlated positively with the occurrence of respiratory symptoms, morbidity and mortality in most of the flocks and locations studied. The occurrence of respiratory pathogens observed in the present studies may be an important factor in the production of small ruminants in northern Cameroon. This study has provided preliminary data for further investigation into the definite role of these respiratory infections of small ruminant in northern Cameroon. We therefore suggest the need to embark on a mass vaccination program campaign against this pathogen, and the need for strict control of animal movement to and from the neighboring countries and a periodic surveillance for respiratory pathogens be incorporated into a national program for the prevention and control measures against this endemic pathogen. *Correspondence to: Abubakar MB, Virology Research Laboratory, Department of Veterinary Microbiology, Faculty of Veterinary Medicine, University of Maiduguri, Nigeria, E-mail: mustydvm@gmail.com
Mapping changes on agricultural and rural areas: an ex-post evaluation of the EU membership for Hungary

Several progresses have been made in evaluating the development policies for rural areas in the last years; many indicators1 have been set for assessing the effectiveness of Common Agricultural Policy (CAP) and Rural Development Policies (RDPs) and their role on the convergence process of the EU members, but a shared definition of rurality is still missing. The results obtained at the level of growth and development by the most lagging behind areas, are far from being satisfactory (Brasili, 2005). The evaluation of the policies and programmes introduced evidenced lack of institutional planning and implementing abilities, and an insufficient targeting of policies and payments (Mantino, 2010). The experience of the 10 New Member States (NMSs)2 showed how the current CAP and Cohesion policy, designed for the EU-15 (Csaki et al. 2010), aren’t enough for addressing the regional specificities, hindering a process of development which is already weakened by the effects of the unfinished transition. This paper aims at offering a methodological contribution for evaluating the EU membership, with particular attention to the CAP, in Hungary. We chose this Country among the 10 NMSs because of the relevance (96%) of the rural areas on the total land3, and given the historical socio-economic role played by agriculture. The authors believe that more targeted – and therefore efficient – policies for agricultural and rural areas require a deeper knowledge of their structural and dynamic characteristics. Therefore, in order to identify the changes occurred before (2003) and after (2007) the EU membership on agricultural and rural areas, we use the following multivariate statistics methodologies: Principal Components Analysis, applied to the set of 42 variables, and Cluster Analysis on the results obtained by the Principal Components Analysis. Then, we offer a preliminary evaluation of the distribution of Single Area Payment Scheme (SAPS)4, using the information on the applications provided at the County level by the Hungarian Paying Agency to show correlations with the leading factors.
INITIAL PUBLIC OFFERING INTENTION: EVIDENCE FROM START-UP FIRMS IN JAPAN

This paper explores the initial public offering (IPO) strategy of start-up firms. Using an original survey of start-up firms in the Japanese manufacturing and information service industries, we investigate what factors are associated with the intention to go public. It is found that among start-up firms, those investing more heavily in research and development (R&D) are more likely to wish to go public. Furthermore, we provide evidence that spin-offs and family businesses are less likely to have IPO intentions, and that entrepreneur-specific characteristics affect IPO intentions, with younger and highly educated entrepreneurs tending to desire to go public.
User Identification Framework in Social Network Services Environment

Social Network Service is a one of the service where people may communicate with one an-other; and may also exchange messages even of any type of audio or video communication. Social Network Service as name suggests a type of network. Such type of web application plays a dominant role in internet technology. In such type of online community, people may share their common interest. Facebook LinkedIn, orkut and many more are the Social Network Service and it is good medium of making link with people having unique or common interest and goals. But the problem of privacy protection is a big issue in todayâ€™s world. As social networking sites allows anonymous users to share information of other stuffs. Due to which cybercrime is also increasing to a rapid extent. In this article we preprocessed the web log data of Social Network Services and assemble that data on the basis of image file format like jpg, jpeg, gif, png, bmp etc. and also propose a framework for victimâ€™s identification.
1 Organization , Evolution , Cognition and Dynamic Capabilities

Using insights from ‘embodied cognition’ and a resulting ‘cognitive theory of the firm’, I aim to contribute to the further development of evolutionary theory of organizations, in the specification of organizations as ‘interactors’ that carry organizational competencies as ‘replicators’, within industries as ‘populations’. Especially, I analyze how, if at all, ‘dynamic capabilities’ can be fitted into evolutionary theory. I propose that the prime purpose of an organization is to serve as a cognitive ‘focusing device’. Here, cognition has a wide meaning, including perception, interpretation, sense making, and value judgements. I analyse how this yields organizations as cohesive wholes, and differences within and between industries. I propose the following sources of variation: replication in communication, novel combinations of existing knowledge, and a path of discovery by which exploitation leads to exploration. These yield a proposal for dynamic capabilities. I discuss in what sense, and to what extent these sources of variation are ‘blind’, as postulated in evolutionary theory. JEL code: D21, L22, O31
A new class of multivariate skew distributions with applications to bayesian regression models

Abstract: The authors develop a new class of distributions by introducing skewness in multivariate elliptically symmetric distributions. The class, which is obtained by using transformation and conditioning, contains many standard families including the multivariate skew‐normal and t distributions. The authors obtain analytical forms of the densities and study distributional properties. They give practical applications in Bayesian regression models and results on the existence of the posterior distributions and moments under improper priors for the regression coefficients. They illustrate their methods using practical examples.
To Explore the Research and Development Competence and School-to-Work Transition for Hospitality Students

This research focuses on the research and development competence and school-to-work transition on occupation selection for hospitality students with the use of social cognitive career theory. The positive attitude construct is the most identifiable for the research and development competences. For the school-to-work constructs, the most identifiable is the construct of learning and exploration, while the most identifiable among the self-efficacy constructs is the personal work attitude construct. The students' research and development competence and school-to-work transition to occupation selection are revealed. While the expectation result of professional competence is not significant; the others show significantly positive impact.