Miracle-dz/UniFAR-FTUs huggingface dataset:
Securing ATM Transactions using Face Recognition

The implementation of ATM machines comes with the issue of being accessed by illegitimate users with valid authentication code. This project provides service to the user only when the user is legitimate or the user is verified by the legitimate user of the ATM card. The users are verified by comparing the image taken in front of the ATM machine, to the images which are present in the database. If the user is legitimate the new image is used to train the model for further accuracy. In case of an illegitimate user, a web link is sent to the registered mobile number who owns the ATM card, to verify the access of the illegitimate user to his/her account only then the user is considered as a legitimate user. Histogram algorithm and Machine learning techniques are used to identify the personals using the machine. This system uses openCV to process the image being obtained and Haar Cascade Classifier to detect the faces in the image. The face recognition is done using Local Binary Pattern. These processes are done in AWS cloud for their architecture facilities.
Evaluation of Selective Ion Exchange Resins for Removal of Mercury from the H-Area Water Treatment Unit

This study investigated the ability of seven ion exchange (IX) resins, some of which were mercury specific, to remove mercury in H-Area WTU waters from three sources (Reverse Osmosis (RO) Feed, RO Permeate from Train A, and a mercury ''hot spot'' extraction well HEX 18). Seven ion exchange resins, including ResinTech CG8 and Dowex 21K (the cation and anion exchange resins currently used at the H-Area WTU) were screened against five alternative ion exchange materials plus an experimental blank. Mercury decontamination factors (DFs), mercury breakthrough, and post-test contaminant concentrations of IX resins were determined for each IX material tested.
Spatial distribution of sand flies (Diptera: Psychodidae; Larroussius group), the vectors of visceral leishmaniasis in Northwest of Iran

Objective: To determine spatial distribution of sand flies (Diptera: Psychodidae; Larroussius group), the vectors of visceral leishmaniasis in Ardabil province, Northwest of Iran. Methods: Sand flies were collected using sticky traps from the 30 selected points in Ardabil province, during May-November 2017. The MaxEnt model in GIS software was used for modeling. Results: A total of 2 794 specimens of sand flies were collected, of which 33% were Larroussius subgenus sand flies. Phlebotomus kandelakii and Phlebotomus wenyoni were the highest and lowest collected species respectively. Based on the modeling, four areas in the province were identified with more than 70% probability of the presence of Larroussius group vectors which were at risk of visceral leishmaniasis disease transmission. Conclusions: The distribution of Larroussius subgenus sand flies was observed in all parts of Ardabil. But the northern parts of the province (Germi and Bilesavar counties) as well as central part (Ardabil and Meshkinshahr counties) were of great importance in terms of the presence of Larroussius subgenus sand flies and the possibility of transmission of the visceral leishmaniasis.
Sales Prediction System using Machine Learning

: In recent years, with the continuous popularity of the Internet, the number of online shopping users in my country has reached 639 million, which contains huge commercial value. In order to maintain the prosperity, diversity and order of merchants, and fully meet consumers' one-stop shopping needs, it is necessary to analyze and predict user purchase behaviors more accurately. The traditional approach of sales and marketing goals no longer help the companies, to cope up with the pace of competitive market, as they are carried out with no insights to customers’ purchasing patterns. Major transformations can be seen in the domain of sales and marketing as a result of Machine Learning advancements. Owing to such advancements, various critical aspects such as consumers’ purchase patterns, target audience, and predicting sales for the recent years to come can be easily determined, thus helping the sales team in formulating plans for a boost in their business
Outside Large Shareholder dan Dividen pada Seasoned Equity Offering (SEO)

This study aims to examine the effect of outside large shareholder and corporate governance toward dividend payment in companies that conducted seasoned equity offering (SEO). Dividend payment may cause a passive shareholder in regard of their right to intervene managerial policy. The research was using a quantitative method with binary logistic regression as metric. There were 88 nonfinancial companies used within 2007-2017 period, amounting a total of 968 observations. The dependent variable in this research is dividend payment, while the independent variables were large shareholder, outside large shareholder, inside large shareholder and corporate governance. Control variables are ROA, firm size and leverage. The result of this study shows that large shareholder, outside large shareholder and inside large shareholder have significant effect toward dividend payment. Corporate governance has insignificant effect toward dividend payment.
Monopsony and Outside Options

In imperfectly competitive labor markets, the value of workers’ outside option matters for their wage. But which jobs comprise workers’ outside option, and to what extent do they matter? We measure the effect of workers’ outside options on wages in the U.S, splitting outside options into two components: within-occupation options, proxied by employer concentration, and outside-occupation options, identified using new occupational mobility data. Using a new instrument for employer concentration, based on differential local exposure to national firm-level trends, we find that moving from the 75th to the 95th percentile of employer concentration (across workers) reduces wages by 5%. Differential employer concentration can explain 21% of the interquartile wage variation within a given occupation across cities. In addition, we use a shift-share instrument to identify the wage effect of local outside-occupation options: differential availability of outside-occupation options can explain a further 13% of within-occupation wage variation across cities. Moreover, the two interact: the effect of concentration on wages is three times as high for occupations with the lowest outward mobility as for those with the highest. Our results imply that (1) employer concentration matters for wages for a large minority of workers, (2) wages are relatively sensitive to the outside option value of moving to other local jobs, and (3) failure to consider the role of outside-occupation options in the concentration-wage relationship leads to bias and obscures important heterogeneity. Interpreted through the lens of a Nash bargaining model, our results imply that a $1 increase in the value of outside options leads to $0.24-$0.37 higher wages.
Elimination de polluants aromatiques par oxydation catalytique sur charbon actif

Ce travail, sur la depollution de l’eau par OVHC sur charbon actif (CA), etudie l'interaction oxydation - adsorption : comment l'oxydation sur charbon de produits aromatiques modifie ses proprietes et en particulier sa capacite d'adsorption et d'oxydation (desactivation). Divers charbons commerciaux, mais aussi issus de boues activees, ont ete caracterises avant et apres oxydation : proprietes texturales, composition elementaire (CHNSO), fonctions de surface, pH au point de charge nulle et allure des courbes ATG. Seule leur teneur en cendres semble differer notablement. Les charbons actifs de boues ont une surface specifique bien moindre (de 90 a 265 m².g-1) et un taux de cendres superieur a 50% qui en font de moins bons adsorbants. Cependant la presence de metal, notamment le fer, a un effet positif sur l'oxydation catalytique. L'etude comparative en oxydation catalytique de 4 CA commerciaux en grains montre une desactivation intense (qui augmente avec la concentration de polluant) sur les 3-4 premieres utilisations, puis une stabilisation. Le charbon resultant est nettement moins adsorbant. Les CA S23 et F22 ainsi stabilises ont ensuite ete utilises pour determiner la cinetique d'oxydation catalytique apparente et intrinseque du phenol, grâce a un modele incluant la diffusion. La comparaison de l'OVHC de 4 polluants aromatiques seuls et en divers melanges synthetiques met en evidence des effets de melange significatifs: les polluants les plus refractaires en oxydation catalytique se degradent beaucoup plus vite en melange (ex 4NP) et inversement, les polluants les plus oxydes, lorsqu'ils sont seuls en solution, voient leur cinetique diminuer lorsqu'ils sont melanges aux autres polluants (ex phenol, 4chlorophenol). Le melange tend donc a uniformiser les comportements particuliers. Enfin, les essais de faisabilite du procede de regeneration oxydante AD-OX ont ete effectues sur des effluents industriels. La regeneration du charbon actif comme adsorbant est moins limitee qu'avec des melanges de phenols substitues.
A Review: Music Feature Extraction from an Audio Signal

In recent years, the revenue earned through digital music stood at a billion-dollar market and the US remained the most profitable market for Digital music. Due to the digital shift, today people have access to millions of music clips from online music applications through their smart phones. In this context, there are some issues identified between the music listeners, music search engine by querying and retrieving music clips from a large collection of music data set. Classification is one of the fundamental problems in music information retrieval (MIR). Still, there are some hurdles according to their listener’s preferences regarding music collections and their categorization. In this paper, different music extraction features are addressed, which can be used in various tasks related to music classification like a listener's mood, instrument recognition, artist identification, genre, query-by-humming, and music annotation. This review illustrates various features that can be used for addressing the research challenges posed by music mining.
Microservices Architecture Design: Proposed for online HealthCare

This study about the analysis and design of SOA-based applications using a microservices approach based on a case study of PT XYZ. The transformation of the system from Model View Controller (MVC) with a large codebase evolved into SOA through the microservices approach, this is an important part in order to promote independence, speed and security. according to the conditions of the company through steps that are comprehensive and effective. adaptation of microservices architecture is very important in terms of development life cycle culture in a company and these changes must be done with a sustainable approach in order to achieve the target when applying microservices includes flexibility, speed, and security.
Modal analysis of viscoelastic nanorods under an axially harmonic load

Axially damped forced vibration responses of viscoelastic nanorods are investigated within the frame of the modal analysis. The nonlocal elasticity theory is used in the constitutive relation of the nanorod with the Kelvin-Voigt viscoelastic model. In the forced vibration problem, a cantilever nanorod subjected to a harmonic load at the free end of the nanorod is considered in the numerical examples. By using the modal technique, the modal expressions of the viscoelastic nanorods are presented and solved exactly in the nonlocal elasticity theory. In the numerical results, the effects of the nonlocal parameter, damping coefficient, geometry and dynamic load parameters on the dynamic responses of the viscoelastic nanobem are presented and discussed. In addition, the difference between the nonlocal theory and classical theory is investigated for the damped forced vibration problem.
Prioritize diversity or declining species? Trade-offs and synergies in spatial planning for the conservation of migratory birds

Stemming biodiversity loss requires strategic conservation guided by well-articulated and achievable targets, whether they be proactive (e.g., protect diverse places) or reactive (e.g., protect threatened or declining species). Both types of targets can be effective, but there are trade-offs, especially for broadly-distributed ecosystems or taxa, such as migratory species, a group for which conservation has been challenged by limited knowledge of distributions throughout the annual cycle. We combined fine scale abundance-based distribution models using crowd-sourced data with population trend analyses to evaluate how conservation targets emphasizing proactive (high species diversity) versus reactive (declining species richness and average severity of decline) approaches influenced spatial priorities for the conservation of Neotropical migratory birds (n=112 species), during the non-breeding period in the Western Hemisphere. We also examined how priority landscapes for each target were affected by the magnitude and changes in human footprint, forest cover, and land protection. Spatial priorities were strikingly different when targets emphasized areas of high species diversity (southern Mexico, northern Central America) versus areas with more severe average declines across species (Andean cordilleras of South America). Targeting richness of declining species was most congruent with high diversity. Only a fraction of non-breeding landscapes (0.03%), mostly in southern Central America and northern Colombia, were selected across all targets. Priority areas for the most severe average declines across the community were subject to rapid increases in human footprint, unlike areas selected for high diversity or declining species richness. Our results highlight how even different reactive conservation approaches may emphasize different regions with varying threats and opportunities for conservation. Overlap between areas prioritized for the conservation of high species diversity and declining species richness in the northern Neotropics indicate a potential for conservation to support declining species without compromising conservation of diverse communities of Neotropical migrants. However, our study provides new evidence that rapid land conversion in the northern Andes may drive declines of Neotropical migrants overwintering in the region; conserving these communities of Neotropical migrants will require an emphasis on protecting and restoring habitat in northwest South America.
Sequence analysis of scaffold/matrix attachment regions (S/MARs) from human embryonic kidney and Chinese hamster ovary cells

Binding of intergenic Scaffold/Matrix Attachment Regions (S/MARs) to nuclear matrix proteins is believed to poise adjacent genes for transcription by forming chromatin loops. Vector constructs containing Scaffold/Matrix Attachment Regions (S/MAR) flanking the gene of interest, therefore, are able to enhance recombinant protein expression in mammalian cells. We compared two methods that are based on buffers containing 2M NaCl and Lithium-3,5-diidosalicylate (LIS) to isolate S/MARs from HEK293 and CHO DG44 cell lines. Isolated S/MARs were sequenced using the Illumina HiSeq platform and mapped against CHO DG44 genome contigs and the human genome GRCh37.p13 respectively (Sequence raw data from this article have been deposited at the EMBL Data Libraries under Study ID PRJEB26090 (ERP108063)). The 2M NaCl method produced 16 million S/MAR consensus sequences which included nine million and seven million from HEK293 and CHO DG44 respectively. LIS method, on the other hand, generated thirteen million S/MAR consensus containing 8.4 million and 4.7 million from HEK293 and CHO DG44, respectively. In order to compare all sets of S/MAR consensus, BLASTN analyses were performed based on exact matches. The number of perfect matches between S/MAR sequences produced by both methods was quite low: 0.46% and 0.07% for HEK293 and CHO DG44 cells respectively, indicating that the two methods isolate different sets of S/MARs. Comparison between the two cell lines found six S/MARs in common, with average coverage of 82%, obtained by the 2M NaCl method, but none of these are intergenic. The LIS method gave 38 S/MARs with average coverage of 85%, common to both cell types; of these, 13 were intergenic. We hypothesize that S/MARs from HEK293 and CHO DG44 isolated using the LIS method have the potential to be universal vector expression elements that can overcome the problem of low production yield.
First quantitative data on the ectoparasitic mites of Sceloporus torquatus (Squamata) from the Ecological Reserve of Pedregal de San Angel in Central Mexico

Twenty four live lizards Sceloporus torquatus were collected in the rainy season in the Reserva Ecológica del Pedregal de San Ángel (REPSA) in Mexico City to establish their ectoparasite census. A total of 1251 mites belonging to four species in three families (Ornithodoros talaje in Argasidae, Geckobiella pelaezi and Geckobiella texana in Pterygosomatidae, and Eutrombicula alfreddugesi in Trombiculidae) were collected. This is the first record of O. talajei for this host species. We detected some differences in the infestation parameters of the four mite species. The prevalence of G. pelaezi, G. texana, and E. alfreddugesi was relatively high (>70%) and statistically different from that of O. talaje (<20%). Abundances of G. pelaezi and E. alfreddugesi were higher than in O. talaje and G. texana, and the latter species showed the lowest mean intensity. Further investigations are necessary to verify these differences and reveal their causes.
A tutorial on using Benaloh public key cryptosystem to encrypt text

The Benaloh public key cryptosystem is an asymmetric cryptosystem with the property of homomorphic encryption scheme. This study explains how to use Benaloh public key cryptosystem to encrypt a simple text. To increase the clarity of the computation, some intermediate variables which are not available in the original Benaloh cryptosystem have been used. The Benaloh algorithm has been implemented in Python programming language version 2.7. 15.
Emergence of mutations and possible antigenic drift in the surface glycoprotein of SARS-CoV-2 (COVID-19)

Recently (2019), a novel coronavirus (SARS-CoV-2) first reported in Wuhan, China has been declared a pandemic by the World Health Organization and is rapidly spreading throughout the globe which is associated with high morbidity and mortality, especially in the elderly and those with existing chronic conditions. SARS-CoV-2 infects cells through interaction of its surface glycoprotein with the human angiotensin converting enzyme 2 (ACE-2). This study conducted a analysis of mutation frequency in the surface glycoprotein of 796 sequenced SARS-CoV-2 isolates from different geographical locations in the GISAID and GenBank databases. Multiple sequence alignment analysis of the surface glycoprotein identified 64 different mutations at the protein level spanning multiple geographic locations globally. A cluster of mutations was identified in the receptor binding domain (RBD) of the surface glycoprotein. Significantly, the analysis showed that 68.5% of the isolates contain a D614 residue compared to 31.5% which contain a G614 suggesting virus is spreading in two forms. Furthermore, our investigation found that one isolate from Belgium had acquired 5 cumulative mutations in the surface glycoprotein indicating possible antigenic drift. The findings of this study are of critical importance for the design of vaccines and novel drugs against this severe acute respiratory syndrome coronavirus.
Illegal Selective Logging and Forest Fires in the Northern Brazilian Amazon

Illegal selective logging and forest fires occur on a large scale in the northern Brazilian Amazon, contributing to an increase in tree mortality and a reduction in forest carbon stock. A total of 120 plots of 0.25 ha (30 ha) were installed in transitional ecosystems or ecotones (LOt) between the forested shade-loving campinarana (Ld) and dense-canopy rainforest, submontane (Ds), in the National Forest (Flona) of Anauá, southern Roraima. Measuring the diameters at breast height (DBH ≥ 10 cm) and the heights of 171 dead trees (fallen naturally, illegally exploited, and affected by forest fires), enabled the estimation of carbon content from the application of a biomass equation developed at Manaus, and the calculation of a correction factor, using the average height of the largest trees. From 2015–2017, we mapped the real extent of illegal selective logging and forest fires across the region with CLASlite and INPE/Queimadas. From measurements of 14,730 live and dead trees across 30 hectares (491 ± 15 trees·ha−1), the illegal selective logging and associated forest fires, and aggravation by severe El Niño droughts resulted in an 8.2% mortality of trees (40 ± 9 dead trees·ha−1) and a 3.5% reduction in forest carbon stock (6 ± 3 Mg·ha−1) in the short-term. The surface area or influence of forest fires of very high density were estimated in the south-central region of Roraima (8374 km²) and the eastern region of the Flona Anauá (37 km²). Illegal selective logging and forest fires in forest areas totaled 357 km² in the mosaic area, and 6 km² within Flona Anaua. Illegal selective logging and forest fires in the years of severe El Niño droughts threatened the maintenance of environmental services provided by Amazonian forests.
Intention to Consume Junk Food: A Study of Drivers for Control Implications

Junk food has been making fast inroads in Indian market. Socio-culturally India has been a collectivist and tradition dominated society, where the concept of food is very different from junk food. This study aims to explore the rising incidence of junk food based on the theory of planned behavior and contributes to understanding the consumption drivers for possible social marketing implications. The findings suggest that out of the three constructs: attitude, social norms and perceived behavioral control, only perceived behavioral control was found to be the significant determinant of intentions. The study has implications for social marketers. For controlling the rising incidence of junk food, the strategy should focus on developing a sense of perceived control. This requires building self-belief and increasing barriers to access of junk food. This paper contributes to the body of literature in understanding consumption drivers of junk food, particularly in a collectivist and family oriented society like India and how efforts to control rising incidence of junk food can be made more effective.