Miracle-dz/UniFAR-FTUs huggingface dataset:
NEURO-FUZZY DATA MINING SYSTEM FOR IDENTIFYING E-COMMERCE RELATED THREATS

E-commerce is driven via Information Technology (IT), especially the web, and it mostly relies upon on innovative technologies that are facilitated by Electronic Data Interchange (EDI) and Electronic Payment over the web. Several researches have shown that e-commerce platforms are compromised by means of phishing and fraud attacks. This has necessitated the importance of trying to find innovative methodologies for protecting e-commerce systems and users from the said threats. This research integrates Case Based Reasoning Module (CBRM) and Adaptive Neuro-Fuzzy Inference System (ANFIS) to spot and categorise e-commerce websites transactions as legitimate or illegitimate by analysing and evaluating some attributes. This may provide an invulnerable platform for e-commerce users. The system which was implemented on MATLAB can be deployed on e-commerce systems and servers to watch e-commerce requests with the aim to identify legitimate and illegitimate websites and transactions. The result of the implementation indicates that the developed system is promising.
FACIAL EMOTION RECOGNITION SYSTEM

This digital era involves technology for everything, right from day to day communication to doing complicated stents which even humans cannot do. Communication among humans is done by speaking, using sign languages, displaying emotions, or by body gesturing. To do any kind of communication or to express feelings, the most important role is played by expressions. Facial expressions are the most effective way to express one's emotions or feelings. Hence it becomes one of the most important and interesting fields to work with. Though it has always been a very easy task for humans to recognize emotions, it is quite challenging for computers to do so. With the advancement in ML and CV, it is now possible to recognize the emotions from images or live videos. Here, the technique used is called facial emotion recognition using convolutional neural networks (FERC). Using an aggregate of modern deep CNN and FER2013 [1] dataset, the test accuracy of 67.7% was obtained, outperforming many previous works without requiring additional training data or face registration. [2].
The Molecular Structure of 1,2:5,6-Di-O-isopropylidene-3-O- toluenesulfonyl-α-D-glucofuranose

Abstract: The crystal and molecular structure of 1,2:5,6-di- O -isopropylidene-3- O -toluenesulfonyl-α- D -glucofuranose is reported. This compound crystallizes from a petroleum ether/ethyl acetate mixture with the chiral orthorhombic space group P2 1 2 1 2 1 with four molecules in the unit cell. The unit cell parameters are: a = 9.7945(7) A, b = 10.1945(7) A, c = 21.306(1) A, and V = 2127.4(2) A 3 . No classical hydrogen bonds were found. Bond lengths and angles of this tosylated glucofuranose derivative are typical. Keywords: carbohydrates; glucose; tosylation 1. Introduction Monosaccharides with good leaving groups like mesylate, tosylate or nosylate play a major role for the introduction of various functional groups, as building blocks for the formation of di- and oligosugars, as chiral pool materials or for the preparation of bioactive glycoconjugates [1]. This offers the possibility for the preparation of rare carbohydrate derivatives. For this purpose, protected carbohydrate building blocks like carbohydrate
Designing Total Interpretive Structural Model of Entrepreneurial Orientation

SMEs Entering today’s competitive world, most businesses, especially small and medium-sized businesses (SMSs), have been overwhelmed and frustrated by the monopoly structures of developing economies most of the time because of the recession and the sanctions of powerful countries. The intensity of this tension has increased several times. Thus, the need to focus on entrepreneurial orientation as a strategic principle will be a way to improve and develop these businesses effectively in the economies of societies, especially developing societies such as our society. The purpose of this research is designing a total interpretive structural model (TISM) of the entrepreneurial orientation of SMEs in oil industry. In this qualitative and quantitative methodology, five university experts in the field of entrepreneurship participated in the meta-analysis and Delphi field to identify the research components and propositions from the same research and to reach competence. The identified component theory and propositions were analyzed by Delphi analysis. In the quantitative part, with the participation of 25 managers of SMEs in oil industry and using matrix questionnaires, the identified propositions were stratified into a range of the most influential propositions to the least effective ones. The results of the qualitative analysis section revealed the existence of three main components based on 15 statements. According to the findings in the quantitative section, technologically, the most influential causes in the oriented SMEs in oil industry are the entrepreneurial businesses. Received: 4 July 2019 Revised: 12 August 2019 Accepted: 10 September 2019
COVID-19 and the CPI: Is Inflation Underestimated?, WP/20/224, November 2020

COVID-19 changed consumers’ spending patterns, making the CPI weights suddenly obsolete. In most regions, adjusting the CPI weights to account for the changes in spending patterns increases the estimate of inflation over the early months of the pandemic. Under-weighting of rising food prices and over-weighting of falling transport prices are the main causes of the underestimation of inflation. Updated CPI weights should be developed as soon as is feasible, but flux in spending patterns during the pandemic complicates the development as quickly as 2021 of weights that represent post-pandemic spending patterns. JEL Classification Numbers: C-43; E-31
Developing Ambidextrous Routines in the IT Service Provider Industry

This study explores ambidextrous practices and distinctive leadership styles in interorganizational settings of two German medium sized IT service providers. We draw on the theory of routines-as-practices and on the organizational ambidexterity literature to analyze organizational practices aiming at both potential for change (exploration) and stability (exploitation). We identify two distinct modes of contextual ambidexterity, whereby one capability is used to improve the other, i.e. ‘exploration for exploitation’, an orientation towards continually improving the quality of the service delivery, and ‘exploration through exploitation’, an approach of project-driven learning. We highlight and classify a multi-layered repertoire of ambidextrous routines across the three levels of analysis: leadership, project team, and client relations. Our findings illustrate elaborate management repertoires of interventions with respect to culture, structures, policies or practices, which are aligned with the ecosystem within which both companies are operating.
Achievements in Rice Research at BINA through Induced Mutation

The Bangladesh Institute of Nuclear Agriculture (BINA), since its inception in 1961 as a radio tracer laboratory under the then Pakistan Atomic Energy Commission (PAEC), has released so far 9 improved varieties of rice through induced mutation technique. Of the 9 varieties ‘Iratom-24’ and ‘Iratom-38’ were developed by irradiating the seeds of the rice ‘IR 8’ and released by the National Seed Board (NSB) of Bangladesh in 1974 for boro (December to May) and aus (March to June) seasons. The mutated characteristics of these varieties are shorter crop duration, resistance against bacterial leaf blight (BLB) and medium fine grain size. ‘Binasail’ was also developed by irradiating the seeds of ‘Naizersail’ and released in 1987 for aman (July to December) season with mutated characters like long panicles, more number of grains, medium fine grains with higher weight, early maturing with photo-insensitivity and higher grain and straw yields. ‘Binadhan-4’, ‘Binadhan-5’ and ‘Binadhan-6’ were developed by irradiating F2 seeds of the parents ‘BR-4’ and ‘Iratom-38’ and released in 1998, ‘Binadhani-4’ for aman and ‘Binadhan-5’ and ‘Binadhan-6’ for boro season. ‘Binadhan-7’ was developed from M3 seeds of the cv. ‘Tai Nguen’ of Vietnam. This variety was released in 2007 for aman season with earliness, long fine grain and high yield. Early maturing character of this variety helps to escape drought and insect attack during flowering and dough stages. Moreover, it helps increasing cropping intensity by facilitating timely cultivation of following winter crops. ‘Binadhan-9’ was developed by hybridizing between the local cv. ‘Kalozira’ and an exotic mutant line Y-1281. It was released in 2012 for aman season, also can be grown in boro season. Unlike the parent ‘Kalozira’it has short duration, long and slender grains with slight aroma. Using recent ion beam irradiation technique BINA has already developed two mutant lines that can be grown after harvest of mustard or rapeseed during the first week of February to first week of March and can be harvested after 121-134 days. These mutant lines produce high yield. _____________________________________________________________________________________________________________
Multi-Thread State Update Schemes for Microscopic Traffic Simulation

Microscopic traffic simulation is an essential tool for the evaluation of intelligent transportation systems (ITS). With the increasing complexity of ITS applications, higher-detail simulation models, and the need to analyze large-scale scenarios, simulation run-times can grow exceedingly large. One way to counter this problem is the use of parallel computing techniques, such as shared-memory multi-thread parallelism. While the foundations of parallel traffic simulation are well-known, the effects of different synchronization and agent-update mechanisms on simulation performance have not been explored systematically. In this paper, we first analyze the common properties of models used in microscopic traffic simulation to understand the impact of their data dependencies. We discuss synchronous and asynchronous agent update schemes and compare them in terms of performance and requirements. We conclude that although it requires more memory and additional conflict handling, the synchronous agent-state updating approach is favourable in terms of scalability.
Ultra-Fast All-Optical Symmetry 4×2 Encoder Based on Interface Effect in 2D Photonic Crystal

This paper deals with the design and simulation of all-optical 4×2 encoder using the wave interference effect in photonic crystals. By producing 4 optical waveguides as input and two waveguides as output, the given structure was designed. The size of the designed structure is 133.9 μm. The given all-optical encoder has a contrast ratio of 13.2 dB, the response time of 0.45 ps, and also the bit transfer rate of 2.2 Tbit/s. The results from these structures suggest the high flexibility of the structures, their resolution rates, and appropriate response time relative to that of other structures in this rank as well as their applicability in terms of dividing. To elicit the optical band gap rage for structure design, the plane wave expansion method and also the finite difference time domain methods were used to investigate the results from designed structures.
MODELLING OF NITRIC ACID AND WATER EXTRACTION FROMAQUEOUS SOLUTIONS CONTAINING A SALTING-OUT AGENT BY TRI-N-BUTYLPHOSPHATE

ABSTRACT A thermodynamic model is presented for nitric acid and water extraction equilibria by tri-n-butylphosphate (10, 30, 50 and 100 vol%) in dodecane from aqueous solutions containing nitric acid (0-14M) and in presence or not of a salting-out agent (lithium nitrate, ammonium nitrate). The activity coefficient of nitric acid was calculated from experimental data using MIKULIN's equation, and those of the components in the organic phase were calculated by SERGIEV SKI I-D ANNUS’ equation. A satisfactory description of the distribution of nitric acid and water is obtained in a wide range of acidity of the aqueous phase by taking into account the formation of the following complexes: TBP, TBPH2O, HNO3H2O,TBP HNO3,(TBP)2HNO3H2O,TBP. (HNO3)2
Simulation Modelling Practice and Theory

Incidences of seasonal influenza are increasing in severity with significant impacts on human health and on economy, due to missed working hours. As transmission of influenza is highest in spaces where persons are in close proximity, public transport networks are increasingly vulnerable in strategies to manage potential influenza epidemics. In this work, we integrate into an agent-based framework, a stochastic model that simulates, on a sub-hourly timescale, the different daily activities of all individuals in a population. Thus, the contact patterns of individuals are accurately modeled, and with the use of agent-based epidemic and mobility models, individual-level transmission of influenza, and its subsequent spread, are accurately modeled. We demonstrate this novel approach in an assessment of seasonal influenza in Switzerland for the year 2050, when Switzerland's population will exceed 11 million. In the absence of interventions, we show that, although of shorter duration, future influenza epidemics will be significantly more severe and infect more of the population. The incidence of influenza is larger during leisure and needs activities, rather than at home, school or work. We demonstrate also that influenza-transmission preventive measures are effective: the intensity of the epidemic and the total number of infections are reduced; however, there is little impact of different preventive measures on the duration of the epidemic. This work demonstrates therefore an accurate tool that can predict the spatiotemporal characteristics of an influenza epidemic, and that can be used to assess the most effective measures to mitigate the epidemic.
THE LEARNERS' STUDY HABITS AND ITS RELATION ON THEIR ACADEMIC PERFORMANCE

Study habits are at the core of a learner's academic success. It is an action like reading, taking notes, conducting study groups that students perform frequently, and regularly accomplishing the learning goals. It can be defined as effective or counterproductive based on whether it serves the students well. Thus, the study's primary purpose was to determine the relationship between study habits and the students' academic performance. The descriptive-correlation design was utilized to describe the respondents' profile regarding their study habits and academic performance. A total of one hundred twenty-six (126) Grade 11 senior high school learners participated in this study. Moreover, the main research instrument utilized in the study was the Palsane and Sharma Study Habit Inventory. Its eight sub-scales are budgeting time, physical condition, reading ability, note-taking, learning motivation, memory, taking examinations, and health. The findings showed that the respondents' study habits are at a relatively average level. The result revealed no significant relationship between study habits and academic performance. Also, the results showed that the study habits of the students are at a relatively average level. Additionally, enhancing students' study habits are relevant, especially in note-taking, reading ability, and health, thus improving their academic performance. Keyword: Study habits, Senior High School Learners, Palsane and Sharma Study Habit Inventory, Academic Performance
A Study of the Demand Forecasting Model for Publishing Business using Business Analysis

Demand forecasting is the activity of predicting the future using historical data and establishing a model that can grasp trends. Demand forecasting is widely used in a variety of business areas, including production and inventory planning as well as process management. The goal of a company that publishes and sells books is to accurately predict sales volume, thereby increasing book sales, generating more revenue, and reducing losses from inventory management. Using data analysis to predict accurate publishing demand and establishing countermeasures against factors that may cause returns can reduce the amount of losses incurred due to inventory control and returns. The purpose of this study is to identify the factors affecting the sale and return of specific books and to create a model to forecast sales demand. For this purpose, we used the sales data of the books sold for 5 years (2012 ~ 2016) by A publishing company. In addition, we collected the data related to books in the Internet portal system and SNS site. We hypothesized the factors that affect the sale and return of books and collected the variables needed for hypothesis testing from web pages and SNS sites. As a result of this study, it was possible to identify the factors affecting the return and sales of a specific book, and it was possible to establish a sales order prediction model. Because the available data is limited in the study, the scope of this study was limited to forecasting the sales demand of some books. If we apply the proposed analytical procedure and method directly from the company, we can expect better prediction results. It is also expected to be applicable to various business processes of book publishing or sales companies.
Posttraumatic stress in Nepalese and Spanish children: A comparative study

Frequent and repeated exposure to potentially traumatic events in Nepal is the starting point for the associated symptomatology evaluation in Nepalese children, especially among those in care. Reviewing the prevalence of Posttraumatic Stress Disorder (PTSD) in the tutelage condition, and establishing comparisons with Spain as an occidental population, would allow delimiting family and socio-cultural implications in child and youth trauma, assessing the sensitization convenience for diagnostic criteria in this age range. With a sample of 88 participants between 11 and 14 years old, we used the Child Posttraumatic Symptom Scale (CPSS), employing both DSM-5 general criteria and childhood adapted alternative criteria. Our results showed higher PTSD prevalence in the Nepalese general population (46.7%) compared with the sample of children in care (11.1%), being significantly reduced in Spanish minors (6.1%), following DSM-5 general criteria. When using alternative criteria, we observed an increase in prevalence rates, reaching 73.3%, 22.2% and 14.3%, respectively. These data enabled us to consider the protection factors at the assessed orphanage compared to the Nepalese general population family environment, and appreciate the socio-cultural variables between countries, supporting at each comparison the alternative criteria highest sensitivity in children and adolescent PTSD diagnosis.
A new methodology to analyze the functional and physical architecture of existing products for an assembly oriented product family identification

In today’s business environment, the trend towards more product variety and customization is unbroken. Due to this development, the need of agile and reconfigurable production systems emerged to cope with various products and product families. To design and optimize production systems as well as to choose the optimal product matches, product analysis methods are needed. Indeed, most of the known methods aim to analyze a product or one product family on the physical level. Different product families, however, may differ largely in terms of the number and nature of components. This fact impedes an efficient comparison and choice of appropriate product family combinations for the production system. A new methodology is proposed to analyze existing products in view of their functional and physical architecture. The aim is to cluster these products in new assembly oriented product families for the optimization of existing assembly lines and the creation of future reconfigurable assembly systems. Based on Datum Flow Chain, the physical structure of the products is analyzed. Functional subassemblies are identified, and a functional analysis is performed. Moreover, a hybrid functional and physical architecture graph (HyFPAG) is the output which depicts the similarity between product families by providing design support to both, production system planners and product designers. An illustrative example of a nail-clipper is used to explain the proposed methodology. An industrial case study on two product families of steering columns of thyssenkrupp Presta France is then carried out to give a first industrial evaluation of the proposed approach. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 28th CIRP Design Conference 2018.
Ganoderma lucidum Polysaccharide Peptide Reduce Inflammation and Oxidative Stress in Patient with Atrial Fibrillation

BACKGROUND: Atrial fibrillation (AF) could be triggered by inflammation and oxidative stress. Ganoderma lucidum has an active substance in the form of β-glucan that can reduce inflammatory process and oxidative stress in rats. The objective of this study was to evaluate the effect of Ganoderma lucidum polysaccharide peptide (GLPP) in paroxysmal AF subjects with parameters of anti-inflammatory antioxidant, electrocardiography and health-related quality of life (HRQoL). METHODS: A randomized closed-label clinical trial with pre- and post-test design was conducted. After AF subjects selection, the subjects were randomized, interviewed and veni-punctured to isolate blood plasma. AF Subjects were then treated with placebo or GLPP for 90 days. Post-test blood plasma was collected on the following day after the 90th day. Then anti-inflammatory and antioxidant parameters were measured. After that, echocardiographic and HRQoL assessments were performed.RESULTS: A total of 38 subjects, 11 males and 27 females, completed the study with no significant changes in diets, physical activities, or medications. Comparing to control, the 90-days GLPP-treated subject characteristics were significant difference in systolic blood pressure, heart rate, malondialdehyde, high-sensitivity C-reactive protein, tumor necrosis factor-a, interleukin (IL)-1b, IL-6, primary (P)-wave dispersion, P-max, physical functioning, limitation to physical health, energy/fatigue, pain, and physical limitation.CONCLUSION: GLPP has several potential effects in AF subjects, including anti-inflammatory, antioxidant, and atrial remodelling, so that HRQoL of AF subjects could be improved. Hence, GLPP could suggested as a potential supplementing agent for AF management.KEYWORDS: atrial fibrillation, Ganoderma lucidum, inflammation, antioxidant, atrial remodelling, quality of life
Transport and Structural Studies of Sulfonated Styrene-Ethylene Copolymer Membranes

The structure and proton conductivity of sulfonated styrene-ethylene copolymers have been studied. Conductivities in excess of 0.1 S/cm are obtained depending upon copolymer composition and sulfonation level. The dependence of conductivity on humidity has been measured and compared with that of Nafion and a partially sulfonated block copolymer. X-ray and neutron scattering studies suggest the presence of a bicontinuous network of hydrophilic and hydrophobic domains in water-swollen samples.