Miracle-dz/UniFAR-FTUs huggingface dataset:
A high Mn(II)-tolerance strain, Bacillus thuringiensis HM7, isolated from manganese ore and its biosorption characteristics

Microorganisms play a significant part in detoxifying and immobilizing excessive metals. The present research isolated a strain (HM7) with high Mn(II) tolerance from Mn(II)-contaminated soil samples. The 16S rDNA sequence analysis showed that HM7 had a 99% similarity to Bacillus thuringiensis, which can survive under a high concentration 4,000 mg/L of Mn(II), and the highest removal rate was up to 95.04% at the concentration of 400 mg/L. The highest Mn(II) removal rate was detected at the contact time 72 h, temperature 30 °C, and pH 5.0, while the differences in strain growth and Mn(II) removal rate among different inoculation doses were insignificant. Scanning electron microscopy indicated B. thuringiensis HM7 cells appeared irregular and cracked under Mn(II) stress. Fourier transform infrared exhibited that functional groups like carboxyl, hydroxyl, amino, sulfhydryl groups, and amide bands might take part in the complexation of Mn(II). In addition, HM7 suggested the ability of indoleacetic acid production, siderophore production, and P’ solubilization potential. Therefore, HM7 might have a potential to promote metal absorption by changing the form of heavy metals, and the experiments supported the application of B. thuringiensis HM7 as a biological adsorbent in Mn(II) contaminated environment remediation.
Reclaiming the Idea of Europe? Brexit, Soft Euroscepticism and EU Contestation in Germany

In the years since the global financial crisis and the Eurozone debt crisis, European integration has become considerably more contentious, even in countries with a previously strong sense of “permissive consensus”. In Germany, the emergence and ongoing transformation of the “Alternative for Germany” from a single-issue, anti-common-currency party into a far-right populist party is the clearest expression of this increasing contentiousness. Beyond the AfD’s fundamental rejection of European integration, however, anti-EU contestation in Germany takes place on a predominantly issue-specific basis, contesting austerity policies or free-trade projects such as TTIP, CETA and most recently JEFTA. Drawing on the fundamental distinction between “hard”/“unqualified” and “soft”/“qualified”/“contingent” Euroscepticism, this paper analyzes the nature of Euroscepticism in the positions of civil-society organizations involved in such contestation processes, arguing that the broad distinction between hard and soft Euroscepticism is insufficient to capture the diversity of positions on the soft Eurosceptic spectrum. Drawing on a distinction between three soft forms of Euroscepticism, the paper furthermore analyzes to what extent opposition to the EU in its current form translates into specific communicative practices defending the idea of European integration against hard Euroscepticism and right-wing populism, in particular in the context of Brexit and the upcoming elections to the European Parliament. The analysis is based in part on interviews with activists as well as representatives of trade unions and political parties active at the state and local level in Bavaria and North Rhine Westphalia, and in part on campaign materials collected in the run-up to the 2019 European Parliament elections. 1 Funding for this research from the Social Sciences and Humanities Research Council of Canada (SSHRC) is gratefully acknowledged.
A Study on back testing of Bull CallDebit spread strategy on Nifty Index Options

Poverty eradication cannot be done by distribution of existing wealth, but by creation of new wealthNarayan Murthy. Stock markets have always been looked upon as speculators paradise and never as a source of wealth creation. To add to the agony, Derivatives have only increased the pain of the retail investors and kept them away from markets. This study is an attempt to prove that wealth creation can be done with the help of Derivatives. Nifty Index options are the most widely traded instrument in the Indian Capital markets. However these instruments have been perceived as a leveraged speculative tool rather than a hedging instrument. Speculators are very important players in the capital markets. However naked speculation on asset prices, have proved to be devastating. Options are derivative instruments which provide much more flexibility for speculation. Different options can be combined to give a structured payoff which is also called a strategy. Every strategy begins with a view on the market. However option trading allows a speculator to take multiple views on the market, and hence there are numerous option strategies available for trading. The next question that arises is, whether there is any strategy that will yield profits without having a view on the markets. The answer to this can be obtained by back testing. The objective of this study is to back test the Bull Call debit spread strategy for a time period long enough to cover the various practical scenarios of the capital market. Hence, a period of 6years is taken into consideration and a algorithmic method of back testing is used. The study does not look at any other factors such as market sentiments, the global scenarios, macro or micro economics, etc. The study focuses only on the price of the Nifty index. The open price of Nifty index futures for a particular expiry month is the start point and the close price at the expiry ie. The settlement price is considered to be the end point. The maximum cumulative loss over the period is considered the maximum investment and the cumulative profit at the end of 100 months is considered as the return. The significance of the study is that it gives importance to simplicity and practicality for the retail investor. A retail investor can simply execute the strategy without any complex calculations and reap results after a considerable period.
MultiModal Identification System in Monozygotic Twins

With the increase in the number of twin births in recent decades, there is a need to develop alternate approaches that can secure the biometric system. In this paper an effective fusion scheme is presented that combines information presented by multiple domain experts based on the rank-level fusion integration method. The developed multimodal biometric system possesses a number of unique qualities, starting from utilizing Fisher’s Linear Discriminant methods for face matching, Principal Component Analysis for fingerprint matching and Local binary pattern features for iris matching and fused the information for effective recognition and authentication The importance of considering these boundary conditions, such as twins, where the possibility of errors is maximum will lead us to design a more reliable and robust security system.The proposed approach is tested on a real database consisting of 50 pair of identical twin images and shows promising results compared to other techniques. The Receiver Operating Characteristics also shows that the proposed method is superior compared to other techniques under study
Evaluation of Brain Attention Levels Using Arduino and Neurosky Mindwave EEG According to Age and Sex

Attention is one of the main cognitive skills that is constantly used in everyday life. However, various factors can be diminished and even blocked by various disorders, diseases or behaviors that affect people's performance. To analyze the brain signals, the Neurosky MindWave EEG device is required, this device determines the levels of attention of people when they perform some activity and Arduino for data capture. This article compares data obtained from reading the level of care of people of different ages and sex using the Neurosky and Arduino Uno devices. The results obtained show that women (sex) and adults (age) have greater stability of attention over time, and that men (sex) and youth (age) get to obtain higher levels of attention.
Intel® Software Guard Extensions: EPID Provisioning and Attestation Services

Intel® Software Guard Extensions (SGX) has an attestation capability that can be used to remotely provision secrets to an enclave. Use of Intel® SGX attestation and sealing has been described in [1]. This paper describes how the SGX attestation key are remotely provisioned to Intel® SGX enabled platforms, the hardware primitives used to support the process, and the Intel Verification Service that simplifies the verification of an SGX attestation. The paper also includes a short primer on the Intel® Enhanced Privacy Identifier which is signature algorithm used by Intel® SGX attestation architecture.
Determinants of the Perceived Impact of Microcredits by Borrowers: A Quantitative Study in Venezuela

This research was conducted based on surveys given to 232 micro-entrepreneurs who had received microcr edits from three private financial institutions in Venezuela in 2012 . We found that the average borrower declares month ly incomes substantially higher than the minimum wage, and tha t microcredits were perceived as being effective in improving a borrower’s family income and other metrics related o his standards of living. The study makes use of a Constrained Generalized Ordered Probit model in which six depen dent variables that measure the perceived impact of having received microcredits (in different areas of the borrower an d his family’s environment, in the community and in the business) are run against 18 potentially explanatory variables.
A Pragmatic Analysis of Implementing Multivariate Decision Tree Algorithm for Supervised Classification of Online Customers

Data mining is used to transform the data available from the web servers to track the continually changing attitude of online customers. The Business Organizations which are involved in online trading must classify them accurately. Based on the preferences and expectations of various levels of online customers the buying behaviour and pattern also vary. This research paper discusses about the Multivariate Decision Tree Algorithm to perform the Supervised Classification of Online Customers. According to Market Basket Analysis Classification process is taken place. This Classification will be certainly helpful to the organizations to address the expectations of online buyers and lead them to successful sustainability in the online trading. Multivariate Decision Tree deals with attribute correlation. It uses linear machine co-relation of attributes that influences online purchase. Entropy is used to measure uncertainty of attribute occurrences. The experiments and results shown in this research paper are about classification accuracy, efficiency and sensitivity. The results in this paper on this dataset is tested under WEKA tool. It is illustrated that the accuracy of supervised classification under linear machine Multivariate Decision Tree is better than Univariate Decision Tree Algorithm.
Understanding Turbulence with Topological Data Analysis

Fluid dynamics is a ubiquitous field. It aims to describe the flow of liquids and gases in order to solve various practical problems. Applications of fluid dynamics include aircraft engines (or, indeed, any engines), turbines, chemical production, weather forecasting, and many others. From the engineering point of view, the field is very important; unfortunately, it is also very hard to come up with adequate models for the processes it aims to describe. One such process that can hardly be described is turbulence—fluid motion pattern characterised by chaotic changes in pressure and flow velocity [1]. In fact, the existence of a universal theoretical model to describe turbulent flow is an open problem in physics [3]. However, it is very important to understand when turbulence occurs and how it behaves, as it can be potentially destructive in e.g. turbines. Moreover, forecasting atmospheric and oceanic flow patterns is impossible without taking into account turbulence.
Simulating Beating Cardiomyocytes with Electromechanical Coupling

Human-induced pluripotent stem-cell derived cardiomyocytes (hiPSc-CM, Cor.4U, Axiogenesis AG, Germany) were tested mechanically in the CellDrum, a drug testing device with a clamped circular 4μm thin silicone membrane with ∅ 16000μm, Fig. 1. On top of the membrane hiPScCM are cultivated in a collagen monolayer that has also a thickness of about 4μm. Medication applied to the culture medium changes the autonomous beating frequency and contraction force both measured by the deflection of the membrane [1].
A Review: Ear Biometrics

To an automatic authentication to individual the biometric is an active pitch. Ear recognition is attracting the interest of researchers as its clear physiological appearance and identical structure for a long period. So it In this paper study has been going on to explore the ear as a biometric treat to authenticate individual for that concern here primarily twelve papers are selected. Reviving these papers we observe that different techniques used by authors. In this research related study we note down robust techniques used for the recognition purposes. These papers provide advantages and disadvantages of various used approach for processing, extraction and classification of image data. This literature review has seven sections these are keywords, introduction, and literature review, used techniques, findings and conclude part.
Factors Affecting Effectiveness of the Existing Performance Appraisal System for Academic Staff of General Sir John Kotelawala Defence University

Performance appraisal systems (PAS) are required to be effective in order to improve and sustain the employee performance of an organization. Academic staff is considered as the most important stakeholders of a university. Their general objective is to generate knowledge and skills and disseminate them. They hold a very important place in modern society as they directly influence the personal development of the present and successive generations. Evaluation and improvement of PAS for academic staff is a must because success of a university depends on its academia. The main objective of this study is to identify the factors affecting the effectiveness of the existing performance appraisal system for academic staff of General Sir John Kotelawala Defence University (KDU). The main factors used in the study were factors related to users, factors related to the system and factors related to perceived fairness. The study was conducted using quantitative methodology and was conducted at the KDU. The research approach was deductive. The population was entire academic staff in 2016 at KDU which was 166. The sample size was 118. Stratified random sampling was used to choose the sample. Data was collected using a structured questionnaire. The reliability was checked using Chronbach’s alpha. Data were analyzed using statistical methods of correlation and regressions with SPSS. Factors related to users ; such as rators’ training was significantly affected the effectiveness on the PAS. However rator’s motivation did not. Factors related to perceived fairness; distributive justice, procedural justice and performance feed back were significantly affecting the effectiveness of PAS. Further, all factors related to system such as employee participation, instrument validity, goal setting and rating technique were significantly affecting the effectiveness of PAS. Among all the factors, procedural justice is most significant positively related factor for the effectiveness of PAS. Hence, the finding recommends focusing mainly on procedural justice for the improvement of the effectiveness of the existing performance appraisal system for academic staff of KDU.
Classification of Expenditure According to Purpose

The present publication presents four classifications of expenditure according to purpose: the Classification of the Functions of Government (COFOG), the Classification of Individual Consumption According to Purpose (COICOP), the Classification of the Purposes of Non-Profit Institutions Serving Households (COPNI) and the Classification of the Outlays of Producers According to Purpose (COPP). Custodian: UNSD ATTACHMENTS
Performance Evaluation of GPSR Routing Protocol for VANETs using Bi-directional Coupling

Routing in Vehicular Adhoc Networks is a challenging task where the nodes themselves are vehicles. The mobility factors such as beacon intervals and vehicles with different velocities may cause inaccuracy in the identification of the vehicle's position. This in turn affects the performance of the position based routing protocols. Further, there is a need to evaluate through simulations performance of the position based routing protocol, especially in urban realistic scenarios for VANETs. The work in this paper evaluates the performance of Greedy Perimeter Stateless Routing protocol (GPSR) for VANETs which is a popular position based protocol especially for routing in MANETs. In order to evaluate realistic simulation environment bi-directional coupling of OMNET++/ INET Framework and SUMO is chosen for Nagarbhavi region in Bengaluru, India. The simulations are done for various scenarios realizing the impact of mobility parameters on routing using GPSR, and performance is measured in terms of packet delivery ratio and throughput.
A New Enhanced Method of Non Parametric power spectrum Estimation

The spectral analysis of non uniform sampled data sequences using Fourier Periodogram method is the classical approach.In view of data fitting and computational standpoints why the Least squares periodogram (LSP) method is preferable than the “classical” Fourier periodogram and as well as to the frequentlyused form of LSP due to Lomb and Scargle is explained. Then a new method of spectral analysis of nonuniform data sequences can be interpreted as an iteratively weighted LSP that makes use of a data-dependent weighting matrix built from the most recent spectral estimate. It is iterative and it makes use of an adaptive (i.e., data-dependent) weighting, we refer to it as the iterative adaptive approach (IAA). LSP and IAA are nonparametric methods that can be used for the spectral analysis of general data sequences with both continuous and discrete spectra. However, they are most suitable for data sequences with discrete spectra (i.e., sinusoidal data), which is the case we emphasize in this paper. Of the existing methods for nonuniform sinusoidal data, Welch, MUSIC and ESPRIT methods appear to be the closest in spirit to the IAA proposed here. Indeed, all these methods make use of the estimated covariance matrix that is computed in the first iteration of IAA from LSP. Comparative study of LSP with MUSIC and ESPRIT methods are discussed.
3D Position Tracking System for Flexible Cystoscopy

Flexible cystoscopy is an examination that allows physicians to look inside the bladder. In flexible cystoscopy, beginner physicians tend to lose track of the observation due to complex handling patterns of a flexible cystoscope and poor characteristics of the bladder. In this paper, as a diagnostic support tool for beginner physicians in flexible cystoscopy, we propose a system for tracking the observation using cystoscopic images. Our system discriminates three handling patterns of a flexible cystoscope, namely bending, rotation, or insertion. To discriminate the handling patterns accurately, we propose to use the degree of bending, rotation, or insertion as features for the discrimination as well as ZNCC-based optical flows. These features are learned by a Random Forest classifier. The classifier discriminates sequential handling patterns of the cystoscope by a time-series analysis. Experimental results on ten videos obtained in flexible cystoscopy show that each of the three handling patterns were correctly discriminated over 90% in average. In addition, we reproduced the observation in a virtual bladder we propose.
Applying Concept Mapping on Postgraduate Nursing Students’ Critical Thinking for Practicing Nursing Process

Concept mapping is one of the active teaching and learning methods promoting critical thinking. Appropriate nursing care, problem solving and effective critical thinking are necessary for all nurses in order to make complex decisions that improve patient outcomes, safety, and quality of nursing care plan. The aim of the study : To evaluate the application of concept mapping on postgraduate nursing students’ critical thinking for practicing nursing process. The sample consisted of all post graduate nursing students (35) who evaluated in the skill lab and clinical setting during their preparatory course. Three tools were used to collect the required data as follow: Tool (І): "A Structure Interview Questionnaire for post graduate nursing students". It comprises of two parts: Part one: personal data of post graduate nursing students, which includes: age, sex, experience, work place. Part two: post graduate nursing students' knowledge assessment sheet, it was developed by the researchers to assess the students' knowledge about concept mapping and critical thinking. Tool II: California Critical Thinking Disposition Inventory (CCTDI): it was used to measure critical thinking skills of post graduates nursing students. Tool (III):" Case study rubric for assessing nursing process, It was used to evaluate the application of postgraduates nursing students' nursing process . The results revealed that majority of the postgraduate nursing students had low total knowledge level regarding critical thinking and concept mapping pre intervention; while post intervention values were improved. Conclusion: The study revealed that concept map is an effective learning tool in nursing education, where recoded improving of post graduate nursing students' critical thinking, nursing process subscales and concept mapping knowledge post intervention. Recommendations: Concept maps should be included in nursing curricula of an evidence-based nursing education strategy. Key wards: Concept mapping, Critical thinking, Nursing process, Postgraduate nursing students. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 16-04-2019 Date of acceptance: 01-05-2019 -------------------------------------------------------------------------------------------------------------------------------------
USING CAT SYSTEMS AND/OR CORPORA IN THE TRANSLATION PROFESSION

Driven by the increasing requirement for efficiency at the workplace, professional translators worldwide resort to what is called “automated assistance”, which allows for more or less control over the end product, while it attempts at improving, not always successfully, their work quality. The paper outlines the use of electronic translation tools by the Romanian professional translator. Thus, we analyze Computer-Aided Translation (CAT) Systems which prevail as assisting tools in the translators’ work, and we consider the role of electronic parallel corpora, a rather marginal one, as it is. The paper highlights the obvious potential of electronic corpora, their advantages over traditional CAT systems, and asserts the need for an integrative approach to translations which should only be beneficial to the translated work as result of the translation profession. Key-words: CAT systems, corpora, translation, professional.
Efficacy, Effectiveness and Efficiency in the Health Care: The Need for an Agreement to Clarify its Meaning

There is great interest in ensuring that health system resources are used effectively. Dictionary says efficacy, effectiveness and efficiency are synonymous. Curiously, it is in many scientific fields where there has been imposed an artificial interpretation of these terms. Efficacy, in the health care sector, is the capacity of a given intervention under ideal or controlled conditions. Effectiveness is the ability of an intervention to have a meaningful effect on patients in normal clinical conditions. Efficiency is doing things in the most economical way. Therefore, it would be more correct to define as strategic efficacy/effectiveness to the aptitude to produce an effect realized in ideal conditions and tactical efficacy/effectiveness to the same effect looked in ordinary circumstances. Efficiency would be kept in its current definition.