Miracle-dz/UniFAR-FTUs huggingface dataset:
Role-based Access Control and BCHS

Web applications present an attractive attack surface in part since they are public front-ends to valuable data sources. Not only are these applications network-facing, they must also accept a non-trivial set of inputs, perform complex tasks, and produce diverse outputs—each of which may be manipulated by a skilled attacker. While a great deal of active research concerns itself with restricting system resources from attackers, there are few resources for protecting an application’s internal data sources. In this paper, I describe how recent developments in BCHS web applications allow programmers to define, enforce, and audit access roles of the application and its data source. These developments bring hard guarantees on data security from the application scope to the operational scope.
COMPARISON OF POPULAR BIOINFORMATICS DATABASES

Bioinformatics is the application of computational tools to capture and interpret biological data. It has wide applications in drug development, crop improvement, agricultural biotechnology and forensic DNA analysis. There are various databases available to researchers in bioinformatics. These databases are customized for a specific need and are ranged in size, scope, and purpose. The main drawbacks of bioinformatics databases include redundant information, constant change, data spread over multiple databases, incomplete information, several errors, and sometimes incorrect links. Also, standard database, naming conventions, and nomenclature are not clearly defined for many aspects of biological information. Hence, these make information extraction more difficult. In this paper, most widely used bioinformatics databases are presented. These databases are notable for their level of redundancy and annotation, structure coverage and accessibility. They are GenBank, Protein Information Resource (PIR), DNA Data Bank of Japan (DDBJ), European Molecular Biology Laboratory (EMBL), Protein Data Bank (PDB), Universal Protein Resource (UniProt), Swiss-Prot, Structural Classification of Protein (SCOP) and Class Architecture Topology Homology (CATH) databases. The key features of the databases are demonstrated and detailed comparisons of the databases were made based on primary and secondary form of databases, and their uniqueness were also highlighted. The databases are foundation stones of bioinformatics and are useful for performing a rigorous benchmarking.
Investable Hedge Fund Indices: An Assessment and Review

Investable Hedge Fund Indices (IHFI’s) have grown in numbers since the first meaningful introduction of these during 2003. While making their presence wide spread through a number of main providers, investors have been left with the task of considering whether or not IHFI’s achieve in practice a better if not outright alternative to established Hedge Funds of Funds (HFOF’s ). What the assessments provided by this report show is that IHFI’s are not very different to HFOF’s and in many ways HFOF’s remain a more viable alternative. Large dispersions are shown to exist for the same types of Hedge Fund Strategies amongst the different IHFI providers. The subscription and redemption costs, notice periods and annual fees make the actual performance which investors can expect to realise from Buy and Hold investing, substantially less than that reported for the underlying indices on which the IHFI’s are based. In summary, many practical challenges remain open with investing in IHFI’s and will require considerable time and resources to shift the vote towards IHFI’s away from HFOF’s if at all.
The Effects of a Knee Joint Injury Prevention Program on Young Female Basketball Players: A Systematic Review

The research results referring to frequency have indicated that most of the sports injuries among athletes of both genders occur in basketball and that knee injury is the second most frequent injury during sports activities. The anterior cruciate ligament (ACL) represents one of the four most important connections for knee stability, and it is frequently prone to injury during sports activities. The aim of this paper was to determine the effects of an exercise program on the prevention of injury to the anterior cruciate ligament of the knee joint among young female basketball players. To collect existing research on the effects of the applications of prevention programs on the prevention of ACL injury in young female basketball players, the following electronic databases were searched: PubMed, SCIndeks, PEDro, J-GATE, DOAJ and Google Scholar. The analyzed studies were published between 2003 and 2018 and the participants were young female basketball players. According to the results of this study, the most frequently used training programs were neuromuscular programs, whose structure includes several types of exercises and which represented a combination of plyometric exercises, core strengthening exercises, exercises to strengthen the muscles of the lower extremities, agility exercises, flexibility exercises, and balance exercises. Finally, the application of the knee injury training program leads to an improvement in motor balance, proprioceptive abilities, balance, flexibility, as well as biomechanical abilities related to injuries of the ACL, leading to an improvement in sports performance among female basketball players.
Sulforaphane Modulates Cell Migration and Expression of β-Catenin and Epithelial Mesenchymal Transition Markers in Breast Cancer Cells

Background: We aimed to assess the effect of sulforaphane (SFN) on breast cancer cell migration and also its effect on the expression of epithelial mesenchymal transition (EMT) markers and β-catenin. Methods: This study was performed in Shahroud University of Medical Sciences, Shahroud, Iran from 2017–2018. In this experimental study, MDA-MB-231 cells were treated with different concentrations of SFN (5, 10, 20, 30 and 40 μM) at different time points of 24, 48, and 72 h. The control group was untreated cells. The inhibitory effects of different concentrations of SFN on cell migration at different time points were evaluated using scratch assay. Moreover, apoptosis was assessed by using flow cytometric analysis. The expression of β-catenin and EMT markers of ZEB1, fibronectin, and claudin-1 were determined by real-time PCR. Western blotting analysis of β-catenin was applied to determine its changes after SFN treatment. Results: SFN markedly inhibited the migration of cells at concentrations of 10, 20, 30, and 40μM after 24, 48, and 72 h. At relatively, high concentrations (30, 40μM), SFN induced apoptosis. Moreover, SFN reduced the gene expression of ZEB1, fibronectin, and claudin-1 after 72 h. The expression of β-catenin revealed a time-dependent decrease at the concentration of 40 μM SFN. Conclusion: Downregulation of EMT markers and β-catenin showed accordance with the inhibition of migration. SFN could be a promising drug candidate to reduce metastasis in breast cancer.
Gweld y Gair: Standardisation and clinical application of a Welsh language measure for estimation of premorbid intellectual functioning

Neuropsychological assessments, especially for suspected dementia, often emphasise the comparison of current and premorbid intellectual functioning. However, when assessing bilinguals, estimation of premorbid intellectual functioning may vary depending on which language provides the medium of testing. For bilingual Welsh-English speakers, testing in English only may yield an inaccurate profile of premorbid ability and hence affect the accuracy of subsequent diagnosis. We report the development and standardisation of a Welsh-language lexical decision task, Prawf Gweld y Gair, and evaluation of its suitability for assessing premorbid intellectual functioning in clinical groups. Standardisation with 101 healthy over 50s showed that scores correlated significantly with scores on other measures of crystallised intelligence and, when age and gender were taken into account, significantly predicted scores on a measure of non-verbal fluid intelligence. In subsequent evaluation with healthy older controls (N=25), people who have Alzheimer’s, vascular or mixed dementia (N=26) and Parkinson’s disease (N=25), as predicted, there were no significant correlations with age, fluid intelligence or cognitive status in the clinical groups. Gweld y Gair shows promise as a Welsh-language test of premorbid intellectual functioning and may be useful for clinicians assessing the cognitive abilities of older Welsh speakers.Mae asesiadau niwroseicolegol, yn arbennig pan yn amau dementia, yn aml yn rhoi pwyslais ar gymhariaeth o weithrediad deallusol cyfredol a chyn-forbid. Fodd bynnag, wrth asesu pobl ddwyieithog, gall amcangyfrif o weithrediad deallusol cyn-forbid amrywio yn dibynnu ar gyfrwng iaith y profion. Ar gyfer siaradwyr dwyieithog Cymraeg-Saesneg, gall profi yn Saesneg yn unig gynhyrchu proffil anghywir o allu cyn-forbid a thrwy hynny gall effeithio ar gywirdeb unrhyw ddiagnosis dilynol. Adroddwn yma ar ddatblygiad proses safoni tasg dewis geiriau Cymraeg, Prawf Gweld y Gair, a’n gwerthusiad o’fi addasrwydd ar gyfer asesu gweithrediad deallusol cyn-forbid mewn grwpiau clinigol. Drwy safoni gyda 101 oedolyn iach dros 50 oed, dangosodd ein canlyniadau bod sgorau ar y prawf yn cydberthynnu’n arwyddocaol gyda sgorau ar fesurau eraill o wybodaeth cyn-forbid, a phan ystyriwyd oed a rhyw, roedd yn ragweld sgorau ar fesur o lifedd gwybodaeth di-eiriol. Mewn gwerthusiad dilynol gyda grŵp rheolaeth o bobl hŷn oedd yn iach (N=25), pobl sydd a chlefyd Alzheimer, demensia fasgwlaidd neu gymysg (N=26) a chlefyd Parkinson (N=25), fel y rhagwelwyd, nid oedd unrhyw cydberthyniad arwyddocaol gydag oed, llifedd deallusrwydd na statws gwybyddol yn y grwpiau clinigol. Mae Gweld y Gair yn dangos addewid fel prawf Cymraeg o weithrediadau deallusol cyn-forbid a gall fod yn ddefnyddiol i glinigwyr asesu galluoedd gwybyddol siaradwyr Cymraeg hŷn.
Design and Performance Analysis of Modified Non-Orthogonal Multiple Access

Recently, non-orthogonal transmission technology has been discussed extensively due to its better cell coverage and higher throughput for users located at cell edge region than the traditional orthogonal multiple access (OMA) technology. In order to improve user throughput of OMA, user equipments (UEs) of non-orthogonal transmission technology needs to enhance their receivers with interference cancellation capability in order to eliminate interferences generated by other users. In this thesis, two kinds of non-orthogonal transmission schemes are investigated, which are non-orthogonal multiple access (NOMA) and rate-adaptive constellation expansion multiple access (REMA). Effects of combining NOMA and REMA with different receiver designs will be studied by both analysis and simulations. Furthermore, we propose to incorporate multilevel code into REMA, named modified REMA. Simulation shows that the combination of REMA with multilevel coding technique can achieve a better rate than conventional REMA.
Usage Analysis of Data Stored in Map Data Structures

With the raise of data science and similar fields there is a fast growing number of programs working with large sets of data. As these programs get more complicated and the data to analyse increases, it may get harder to detect non-fatal errors in the computation. Especially it may not be noticed if some of the input data is not used. Here we use a strong definition of data usage: We only declare data as used if there is a dependency between the content of the data and the outcome of the program. Using the concept of abstract interpretation we extended existing analyses to be able to analyse this usage property on map data structures. Our approach generically applies to all such data structures containing key-value pairs. As a preliminary step we analyse the possible values of scalar variables and map data structures. We are able to divide the key space of a dictionary, and thus can infer different possible values for different keys. For this analysis and our abstraction of map data structures we build on previous work by Fulara [3]. Using the results of this first analysis we then analyse the usage of map data structures with two different abstractions. With these analyses we are able to infer sets of keys whose corresponding values are unused. All these analyses are generic in their abstraction of keys, values and scalar variables. Hence, they can be adjusted to various needs of precision and data types.
Self-Employment, Capital and Job Search: Evidence from a Structural Model

We build a structural life-cycle model of sectoral choice in urban Ghana. Our model allows endogenous career choices, costly job search, capital accumulation and permanent heterogeneity (in both wage productivity and self-employment productivity). We estimate our model using a long panel from urban Ghana, and show that our model fits the data well. Our results imply an important role for search costs and highlights the fundamental role of capital constraints in limiting career opportunities. Our model can provide useful guidance for understanding recent empirical literature; we illustrate this by using the model to replicate recent experiments in developing country labour markets.
EXPLORING DIFFERENCES IN GRIT AND ITS MOTIVATIONAL CORRELATES AMONG PARA SPORTSPERSONS AND SPORTSPERSONS

Background: Grit in psychology is referred to as a positive, non-cognitive trait based on an individual's passion for a particular long-term goal or end state, coupled with a powerful motivation to achieve their respective objective. Duckworth et al. (2007), define grit as perseverance and passion for long-term goals. Grit entails working strenuously toward challenges, maintaining effort and interest over years despite failure, adversity, and plateaus in progress. Based on the evidence supporting grit, it would not be incorrect to assume that not only is grit required to succeed in fields such as academics but it is a trait that would be equally relevant in the lives of sportspersons and especially para sportspersons, competing at national level who not only have to compete on the field but also have to prove their mettle off the field due to their disability. Also, in order to maintain zeal towards a long-term goal, consistent self-regulation and motivation are perhaps some of the key elements, that keep people going even in the face of adversity. Self-regulation is the ability to organise and monitor one’s own behaviour and motivation can be defined as the driving force that causes people to take-action, think and behave in accordance with their goals (Hidi & Harackiewicz, 2000). Therefore, the present study seeks to examine the differences between sportspersons and para sportspersons on grit, self-regulation and motivation. Methodology: For this purpose, a sample of 40 male sportspersons and 40 male para sportspersons in the age range of 18-30 years, who have participated in the sport of athletics or swimming at least at national level, was selected. The data was collected with the help of 12-Item Grit Inventory (Duckworth et al., 2007), The SelfRegulation Questionnaire (Brown, Miller & Lawendowsky, 1999) & The Sport Motivation Scale (Pelletier et al., 1995). The differences between the two groups were analysed using t test. Results:Significant differences have emerged between para sportspersons and sportspersons on grit and certain aspects of sport motivation.
Incorporating Domain Knowledge About XRF Spectra into Neural Networks

This paper investigates how incorporating domain knowledge can improve the performance of machine learning algorithms. We design and evaluate an analysisby-synthesis model that predicts the chemical composition of rocks from spectral data. Through interactions with domain experts, specific domain knowledge about the sensing instruments and general domain knowledge about spectral data is gathered. In a analysis-by-synthesis-style auto-encoder, the decoder utilizes the domain knowledge in a differentiable generative model and the encoder learns to perform model inversion of the generative model. In experimental results, we show how our model improves prediction of some element concentrations.
An Algorithm of Incremental Construction of Nonlinear Parametric Approximators

A novel algorithm of incremental construction of nonlinear parametric approximators is introduced that needs a relatively small number of parameters to achieve good accuracy. The approximator is de ned as a linear combination of nonlinear base functions, and the method adds the base functions one by one, observing the correlation between the residue function and the candidate for the base function. The base functions do not need to be homogenous, i.e. to share the same formula. The method was experimentally veri ed and compared to neural networks, and the preliminary results were encouraging enough to develop the presented approach further.
Smart Continuous Delivery Framework for Software Releases

-In today`s IT world, there is an increasing demand for quality software products that helps business grow, which can in turn help reduce the effort in time & money and also be highly dependable. The challenge of having product releases frequently is not quite an easy task as it sounds. To meet this challenge of producing reliable software products, the IT managers & leads need a team of dedicated developers, system programmers, testers along with a highly efficient process in place. Continuous Delivery (CD) is a software engineering approach in which teams keep producing valuable software in short cycles and ensure that the software can be reliably released at any time. CD is attracting increasing attention and recognition. The continuous delivery mechanism already has certain frameworks such as agile framework, Scaled Agile Framework (SAFe), Disciplined Agile Delivery (DAD), Composable Fault Tolerance Framework (CFT), Test Orchestration Framework & Large-scale Scrum Framework (LeSS). These existing frameworks do not have any approach to determine or predict the futuristic state of the continuous delivery pipeline. Detecting problems early in development require a new CD approach that speeds up testing & eventually successful releases. This research work will propose a new framework that can provide error & problem prediction analysis & determine a desired futuristic state in software release lifecycle. The research proposes a new continuous delivery framework with features of early defect recognition through machine learning and that is smart to take informed decisions. This new framework can help the adoption of CD as a practice across IT organizations helping in effective handling of scenarios when the existing frameworks fail. The intent is to generate and maintain a data store to help in decision making for continuous delivery life cycle. The data will be collected & stored & will be mined to be analyzed for success & failure points & concluding on reasons & factors towards the outcomes. The data store will constitute the backbone of the machine learning that will be mined or possible outcome scenarios hence assisting in early detection of problems & help with its resolution in the continuous delivery lifecycle. Extending the adoption of the continuous delivery framework across organizations requires cloud based deployments as most organizations depend on cloud services to host the services. There are a plethora of cloud enablers available & the framework aims to provide the cloud enablement feature to help in its increased adoption.
TRANSVERSE VIBRATION OF A GEAR WHEEL

In the paper, transversal vibration of the annular plate related to the toothed gear is studied using finite element representation. The plate is fixed in the hollow shaft. The base model contains all essential construction of the aviation engine toothed gear. The algorithm to identify the proper distorted mode shapes is presented. The pre–stress effect is included using the FE code system standard procedure. It is important to note that the data presented in the paper is brought the practical advice to design engineers.
Spatio-chromatic contrast sensitivity under mesopic and photopic light levels

Contrast sensitivity functions (CSFs) characterize the sensitivity of the human visual system at different spatial scales, but little is known as to how contrast sensitivity for achromatic and chromatic stimuli changes from a mesopic to a highly photopic range reflecting outdoor illumination levels. The purpose of our study was to further characterize the CSF by measuring both achromatic and chromatic sensitivities for background luminance levels from 0.02 cd/m2 to 7,000 cd/m2. Stimuli consisted of Gabor patches of different spatial frequencies and angular sizes, varying from 0.125 to 6 cpd, which were displayed on a custom high dynamic range (HDR) display with luminance levels up to 15,000 cd/m2. Contrast sensitivity was measured in three directions in color space, an achromatic direction, an isoluminant “red-green” direction, and an S-cone isolating “yellow-violet” direction, selected to isolate the luminance, L/M-cone opponent, and S-cone opponent pathways, respectively, of the early postreceptoral processing stages. Within each session, observers were fully adapted to the fixed background luminance (0.02, 2, 20, 200, 2,000, or 7,000 cd/m2). Our main finding is that the background luminance has a differential effect on achromatic contrast sensitivity compared to chromatic contrast sensitivity. The achromatic contrast sensitivity increases with higher background luminance up to 200 cd/m2 and then shows a sharp decline when background luminance is increased further. In contrast, the chromatic sensitivity curves do not show a significant sensitivity drop at higher luminance levels. We present a computational luminance-dependent model that predicts the CSF for achromatic and chromatic stimuli of arbitrary size.
Migration and Multidimensional Wellbeing in Ethiopia: The Role of Migrants Destinations

Using household survey data collected between September 2011 and December 2012 on migrantand non-migrant households in Moldova and Georgia, this paper measures and compares the multidimensional well-being of children with and without migrant household members. While a growing body of literature has addressed the effects of migration for children ‘left behind’, relatively few studies have empirically analysed if and to what extent migration implies different well-being outcomes for children, and fewer still have conducted comparisons across countries. To compare the outcomes of children in currentand nonmigrant households, this paper defines a multidimensional well-being index comprised of six dimensions of wellness: education, housing conditions, protection, physical health, emotional health, and communication access. The results of both bivariate and multivariate analyses suggest that migration has limited consequences for different domains of well-being. While in Moldova migration does not appear to correspond to any positive or negative well-being outcomes, in Georgia migration was linked to higher probabilities of children attaining wellbeing in physical health, communication access, housing, and on the total index level. The different relationship between migration and child well-being in Moldova and Georgia likely reflects different migration trajectories, mobility patterns, and levels of maturity of each migration stream. JEL codes: F22, I32, J14, J61