Miracle-dz/UniFAR-FTUs huggingface dataset:
Unsupervised all-words sense distribution learning

There has recently been significant interest in unsupervised methods for learning word sense distributions, or most frequent sense information, in particular for applications where sense distinctions are needed. In addition to their direct application to word sense disambiguation (WSD), particularly where domain adaptation is required, these methods have successfully been applied to diverse problems such as novel sense detection or lexical simplification. Furthermore, they could be used to supplement or replace existing sources of sense frequencies, such as SemCor, which have many significant flaws. However, a major gap in the past work on sense distribution learning is that it has never been optimised for large-scale application to the entire vocabularies of a languages, as would be required to replace sense frequency resources such as SemCor. In this thesis, we develop an unsupervised method for all-words sense distribution learning, which is suitable for language-wide application. We first optimise and extend HDP-WSI, an existing state-of-the-art sense distribution learning method based on HDP topic modelling. This is mostly achieved by replacing HDP with the more e cient HCA topic modelling algorithm in order to create HCA-WSI, which is over an order of magnitude faster than HDP-WSI and more robust. We then apply HCAWSI across the vocabularies of several languages to create LexSemTm, which is a multilingual sense frequency resource of unprecedented size. Of note, LexSemTm contains sense frequencies for approximately 88% of polysemous lemmas in Princeton WordNet, compared to only 39% for SemCor, and the quality of data in each is shown to be roughly equivalent. Finally, we extend our sense distribution learning methodology to multiword expressions (MWEs), which to the best of our knowledge is a novel task (as is applying any kind of general-purpose WSD methods to MWEs). We demonstrate that sense distribution learning for MWEs is comparable to that for simplex lemmas in all important respects, and we expand LexSemTm with MWE sense frequency data.
Design of a new generation wound dressing with pine bark extract

Medical textiles are one of the fastest growing sectors in the technical textile market. Wound dress is one of the significant applications with the largest share in medical textiles. Active molecules doped in the dressings may be therapeutic agents, vitamins, antibiotics, minerals, and growth factors, which contribute to wound healing. Medical plants have a great potential with positive effects in wound care and accelerate the rate of wound healing. Pine bark, which is known to exhibit wound healing properties, is also used in the medical field. The purpose of this study is to design a new wound dressing enriched with Pinus brutia extract. Microwave-assisted extraction which is an environmentally friendly method was carried out at 70℃, 900 W for 10 min to obtain the extracts. Subsequently, P. brutia bark extract was embedded to the alginate gel dressing and characterized and evaluated by in vivo studies on rats. According to the results, the extract was rapidly released from the alginate gel in the first 6 h, whereas the release was slowly increased to 24 h and then reached a steady state. Therefore, P. brutia extract-embedded alginate gel dressings applied for in vivo studies were changed every 24 h, reaching a healing rate of 75.7%, whereas the control group showed a healing rate of 48.6% indicating the superiority of the newly designed wound healing dress enriched with pine bark extract.
Recommendation for Applications Using Approved Hash Algorithms

Cryptographic hash functions that compute a fixedlength message digest from arbitrary length messages are widely used for many purposes in information security. This document provides security guidelines for achieving the required or desired security strengths when using cryptographic applications that employ the approved cryptographic hash functions specified in Federal Information Processing Standard (FIPS) 180-3. These include functions such as digital signature applications, Keyed-hash Message Authentication Codes (HMACs) and Hash-based Key Derivation Functions (HKDFs).
Investments in Cryptocurrencies: Handle with Care!

Asset pricing models and investment styles have been researched intensively in equities, bonds, FX, and commodities. However, a new asset class has emerged since the end of 2008, namely, cryptocurrencies such as Bitcoin and Ethereum, among others. The author uses an extensive data set of over 1,500 cryptocurrencies and shows that almost none of the traditional investment styles such as momentum or defensive appear to be successful in this young asset class. Cryptocurrencies are also independent from the macroeconomic environment and cannot be explained by a standard asset pricing model. A cryptocurrency specific model yields clearly better results. In addition, the whole cryptocurrency space is dominated by only a few individual digital coins. Equally weighted mean monthly returns appear to be random with low or even no correlation with traditional asset classes such as US equities and global FX. TOPICS: Real assets/alternative investments/private equity, performance measurement, portfolio management/multi-asset allocation
Improving the measurement of export instability in the Economic Vulnerability Index: A simple proposal

The Economic Vulnerability Index (EVI) is a well-recognized measure of the structural vulnerability of developing countries and is one of the three criteria used for the identification of Least Developed Countries (LDCs). Both for effectiveness and equity reasons, the EVI is also retained as a relevant criterion for aid allocation between developing countries. Such an index, in its construction as in its measure, must be beyond reproach. Here, we propose an improvement in the measurement of one of the most important component of the EVI, namely the instability of exports of goods and services. The implications of the proposal in terms of scores and ranks are then discussed.
The Global Trade Slowdown; Cyclical or Structural?

This paper focuses on the sluggish growth of world trade relative to income growth in recent years. The analysis uses an empirical strategy based on an error correction model to assess whether the global trade slowdown is structural or cyclical. An estimate of the relationship between trade and income in the past four decades reveals that the long-term trade elasticity rose sharply in the 1990s, but declined significantly in the 2000s even before the global financial crisis. These results suggest that trade is growing slowly not only because of slow growth of Gross Domestic Product (GDP), but also because of a structural change in the trade-GDP relationship in recent years. The available evidence suggests that the explanation may lie in the slowing pace of international vertical specialization rather than increasing protection or the changing composition of trade and GDP.
Information security policies’ compliance: a perspective for higher education institutions

ABSTRACT This paper provides a systematic literature review in the information security policies’ compliance (ISPC) field, with respect to information security culture, information security awareness, and information security management exploring in various settings the research designs, methodologies, and frameworks that have evolved over the last decade. Studies conducted from 2006 to 2016 reporting results from data collected through diverse means have been explored; however, only a few studies have focused primarily on a sensitive infrastructure under risk, as is the case with higher education institutions (HEIs). This study reports that ISPC in HEIs remains scarce, as is the realization of security threats and dissemination of information security policies to end users (employees). This research makes a novel contribution to the body of knowledge as a unique study that has reviewed the influence of institutional governance in HEIs on protection motivation leading towards ISPC.
Evidence on the Impact of Internal Control over Financial Reporting on Audit Fees

Introduction: Circa 1992, the dot.com sector created an irrational stock-trading market where the usual “financial” profiles of: Liquidity, Cash Flow from Operations, and Revenue generation were replaced by Ponzi-esque mayhem. To stabilize the markets, the Public Company Accounting Oversight Board [PCAOB] required a second audit opinion: the COSO Opinion on the adequacy of management’s system of Internal Control over Financial Reporting: [ICoFR]. Study Focus: Three COSO-[ICoFR] designations are now required as public information: (i) A “clean” opinion [Is Effective], (ii) Deficiencies are noted, and (iii) Weaknesses reported. Our research interest is to determine, for a panel of randomly selected firms traded on the S&P500 for a eleven-year period: 2005 to 2015, the nature of the effect that the COSO deficiency reporting protocol has on (i) Audit Fees and (ii) the Market Cap of traded firms.Method: To this end we collected, using the Audit Analytics Ô[WRDSÔ] database, various categories of reported Audit Fees and also Market Cap information. This random sample was classified into two sets: the first group: Is Effective SEC 302 Designation and No COSO issues & the second group: Is Not 100% Effective for which there were SEC 302 Deficiencies or Weaknesses noted.Results: Inferential testing indicates that failure to attend to the PCAOB-COSO imperatives results in a relational where there are higher Audit Fees and a slippage of the firm’s Market Cap compared to the Is Effective Group. The PCAOB’s protocol to require the Audit of the firm’s ICoFR system and make that evaluation public information seems to be an excellent corrective “Carrot and Stick”.
Evaluación del aprendizaje en los alumnos con discalculia

La discalculia es un trastorno del neurodesarrollo que afecta, a quien lo padece, a su capacidad para el calculo, interfiriendo en su rendimiento academico, su nivel de inclusion social, su acceso al mundo laboral, y en especial en su realizacion tanto personal como profesional. Por lo que respecta al rendimiento academico se estan haciendo esfuerzos en la mejora del aprendizaje, dejando en segundo plano la forma de evaluar el mismo. En este trabajo analizamos las dificultades de estos estudiantes frente a los examenes, con el proposito de hallar la mejor forma de ser evaluados, mejorando asi su rendimiento y autoestima.
Scalability Dilemma and Statistic Multiplexed Computing — A Theory and Experiment

Article history: Received: 21 May, 2017 Accepted: 20 July, 2017 Online: 10 August, 2017 The For the last three decades, end-to-end computing paradigms, such as MPI (Message Passing Interface), RPC (Remote Procedure Call) and RMI (Remote Method Invocation), have been the de facto paradigms for distributed and parallel programming. Despite of the successes, applications built using these paradigms suffer due to the proportionality factor of crash in the application with its size. Checkpoint/restore and backup/recovery are the only means to save otherwise lost critical information. The scalability dilemma is such a practical challenge that the probability of the data losses increases as the application scales in size. The theoretical significance of this practical challenge is that it undermines the fundamental structure of the scientific discovery process and mission critical services in production today. In 1997, the direct use of end-to-end reference model in distributed programming was recognized as a fallacy. The scalability dilemma was predicted. However, this voice was overrun by the passage of time. Today, the rapidly growing digitized data demands solving the increasingly critical scalability challenges. Computing architecture scalability, although loosely defined, is now the front and center of large-scale computing efforts. Constrained only by the economic law of diminishing returns, this paper proposes a narrow definition of a Scalable Computing Service (SCS). Three scalability tests are also proposed in order to distinguish service architecture flaws from poor application programming. Scalable data intensive service requires additional treatments. Thus, the data storage is assumed reliable in this paper. A single-sided Statistic Multiplexed Computing (SMC) paradigm is proposed. A UVR (Unidirectional Virtual Ring) SMC architecture is examined under SCS tests. SMC was designed to circumvent the well-known impossibility of end-toend paradigms. It relies on the proven statistic multiplexing principle to deliver reliable service using faulty components as the infrastructure expands or contracts. To demonstrate the feasibility of such a theoretical SCS, an organized suite of experiments were conducted comparing two SMC prototypes against MPI (Message Passing Interface) using a naive dense matrix multiplication application. Consistently better SMC performance results are reported.
From HRM to E-HRM: Contemporary Developments from Scholarly Work

The present article aims to shed light on the concept of Human Resource management. Therein, the authors have attempted to underline some of the important developments in the arena of HRM and where it leads the understanding to. The article elaborates on the growing shift from HRM to E-HRM and why it is becoming inevitable for businesses to understand and accept it. The discussion also highlights detailed explanation of the features and prospects of E-HRM and its uniqueness in comparison with traditional HRM practices. In parallel, the article also expounds on HRM as a strategic concept whilst unleashing on elements relating to technological primacy. The article aims to serve as a guideline for individuals enthusiastic to conduct scholarly work in the area of E-HRM and its strategic importance in the years to come.
Feasibility study for full-service independent hotel : A case study in hotel X Bandung, Indonesia

The purpose of this study is to show the implementation of a feasibility study for the hotel project by using Political, Economic, Social and Technology (PEST) analysis, Porter’s five forces and Resource-Based View (RBV). A case study was conducted in a full-service independent four-star hotel project in Bandung, Indonesia. Direct observation from the researchers in the hotel project and secondary data analysis from related documents are used in the feasibility study report to support the investigation. Finally, the capital budget calculation is being used to recommend the feasibility of the hotel project. As a result, it is apparent that the hotel X investment is feasible to proceed. Some recommendations are given for hotel owners related to the business environment analysis and in creating a feasibility study specially designed for the hotel business. Managerial implication of this study can be useful for companies in making the right decisions in the development or expansion, and to minimise the long-term losses. Limitation of this research is in only analysing one hotel in a four-star classification; further analysis can be applied in a different location, classification, and different types of hotel service.
Finances of the citizens of the Czech Republic spent on sports activities to prevent and treat cardiovascular diseases

Sports activities are important factors in the prevention of the incidence and development of cardiovascular diseases. The goal of this article was to find out, describe and assess the relationship of the finances spent on sports activities to prevent and treat cardiovascular diseases to education, employment and marital status. The research was carried out using the quantitative research strategy (a non-standardized questionnaire). The sample group (1,992 people from the Czech Republic – 937 men and 1,055 women) had the typical structure of the Czech population and was representative from the point of view of regions, gender and age. The results showed statistically significant relationships between the money spent monthly on sports activities to prevent and treat cardiovascular diseases. Respondents with a higher level of education invested more money in sports activities than those with a lower level of education. Employed and self-employed people invested more money in sports activities than pensioners. Single people invest more in sports activities; the widowed invest less, which could be caused by the fact that the Czech Republic is undergoing a change in the population structure. These facts provide medical workers with valuable information that can be used in practice. This information can help to make medical consulting regarding sports activities more efficient and so prevent cardiovascular diseases. It also points out the necessity of an individual approach regarding practical recommendations in relation to education, employment and marital status.
TRANSAKSI PERBANKAN MELALUI INTERNET BANKING DI INDONESIA BERDASARKAN UNDANG-UNDANG NOMOR 19 TAHUN 2016 TENTANG INFORMASI DAN TRANSAKSI ELEKTRONIK

Tujuan dilakukannya penelitian ini adalah untuk mengetahui bagaimana manfaat Internet Banking bagi nasabah dan bank dalam transaksi perbankan dan bagaimana perlindungan hukum terhadap nasabah dalam transaksi perbankan melalui Internet Banking berdasarkan Undang-undang Nomor 19 Tahun 2016 tentang Informasi dan Transaksi Elektronik, yang dengan menggunakan metode penelitian hukum normatif disimpulkan: 1. Manfaat Internet Banking bagi nasabah yaitu dapat melakukan transaksi perbankan di mana saja dan kapan saja asalkan ada jaringan internet, proses transaksi perbankan menjadi lebih cepat dan tidak harus datang ke bank. Sedangkan bagi bank menurunkan biaya transaksi, meningkatkan image masyarakat terhadap bank dan mendapatkan nasabah-nasabah baru yang membutuhkan fasilitas Internet Banking . 2. Perlindungan hukum terhadap nasabah dalam transaksi perbankan melalui Internet Banking belum diatur secara khusus dalam Undang-undang Nomor 19 Tahun 2016 namun undang-undang ini mengancam dengan pidana penjara paling lama 12 tahun dan pidana denda paling banyak 12 miliar rupiah terhadap semua perbuatan transaksi elektronik yang melanggar hukum. Kata kunci: internet banking; informasi dan transaksi elektronik;
Implementation of M-Learning Applications using Web Services

: Education Technology, in the early stages, can modify the curriculum to meet the learning situations and student life. Alternatives to traditional educational methods also provides lectures and promote higher education. For example, the new technology eliminates the spatial and temporal constraints, students and teachers do not need to be in the same row, or even within the same region, to exchange information or educational material, but can be anywhere without impeding their work. Moreover, the reduced operating costs for schools and universities, where they can provide all subjects using cheap technology, through the mail this project screens, and the aim of our study: first, to understand the benefits of learning through mobile devices (learn mobile), and second, to provide analysis of principles and patterns of mobile design and interface and tactics to solve the mobile joint development problems, and the third, to produce a new learning of the application, based on the results of this study, which provides direct contact between students and teachers. In order to establish these contacts, forms poll view the applications that can host various questions with the answer choices. The use of opinion polls also can quickly gather student responses and display the results on mobile devices screens.
A Machine Learning Generalization of LSI-OR

The Level of Service Inventory-Ontario Revision (LSI-OR) is used as a risk/need assessment tool to classify, manage, and treat the offender population so that they receive supportive services consistent with their custodial needs. This thesis adopts a machine learning approach employing the Näıve Bayes technique as an alternative to the LSI-OR. The study was conducted on a group of (72725) offenders with different races and includes males (82.62%) and females (17.38%). Participants were monitored for two years to collect recidivism information. A basic analysis of the dataset revealed that 1) 83.18% of population used a unique pattern to answer 43 LSI-OR items, 2) the total LSI-OR scores in the entire population and also in male and female population followed two beta distribution functions, one for each recidivism class, and 3) the recidivism rate was approximated by a normal distribution function. It was shown that the Näıve Bayes classifier can be considered as an extended LSI-OR classifier that accepts multiple continuous and discrete features as input. In other words, the Näıve Bayes classifier provides a simple framework for studying the effect of distinct features on classification efficiency and accuracy. The results of running the Näıve Bayes classifier with various input features revealed that the Näıve Bayes classifier presented better performance than the LSI-OR. However, there was no obvious trend in the accuracies predicted by both models to indicate the superiority of one model over the other. The only feature whose value could be treated as a continuous variable was the LSI-OR score. Many models were created based on continuous and discrete LSI-OR scores producing either the same performance and mean accuracy or slightly better. The dataset contained many features that are never used by the LSI-OR assessment for instance, the offence severity. A model was built at each index of offence severity based on LSI-OR scores and 43 LSI-OR items as input features. The results of running the experiment indicate that considering 43 LSI-OR items gives more stable results in terms of accuracy than the LSI-OR scores.
Dynamic Symbolic Execution Method Oriented to Critical Operation

Addressing the requirement for defect detection, this paper proposes critical operation oriented dynamic symbolic execution. First, based on the defined critical operations and the relevant critical paths, a set of initial inputs are evaluated by computing the ability of covering critical operations under different contexts, and efficient initial inputs can be selected for the following dynamic symbolic execution. Second, leveraging the critical operations, dynamic symbolic execution is guided to explore paths which are more prone to defects. In this way, defect detection becomes a process of locating critical operations and exploring critical paths. A prototype system called CrashFinder is implemented and tested on a number of Linux x86 executables. The experimental results show that this approach is effective in initial input evaluation and efficient in defect detection.
Technology Use for Non-Educational Purposes during Library Instruction: Effects on Students Learning and Retention of Information

ABSTRACT The paper examines the impact of students’ use of technology for extracurricular purposes during instruction sessions and its effects on their learning and retention of information. It also reports on whether attendance at a previous library instruction session provided the students with the advantage of scoring higher in the assessment and whether the use of these technologies in class sessions was disruptive to other students. This study was conducted during the spring and summer of 2017 on students that attended twenty eight one-time library instructions session for three chemistry laboratory courses. Results indicate that students who used any devices to engage in non-educational activities during an instruction session on average earned lower points in the assessment. On average, the students who attended a prior library instruction session scored higher than those who did not. This result is true irrespective of the group the students were in (control or experimental), or if they used their devices for off-task purposes during the class.