Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis on Credit Card Fraud Identification based on KNN and Outlier Detection

: Popular payment mode which is credit card is acquired both offline and online that provides us with its great advantage of cashless transaction. A credit card is a convenient financial product that can be used for everyday purchases such as gas, groceries, and other goods and services. It becomes very easy, suited and groovy to make payments and other transactions through credit card. Credit card fraud is also growing along with the development in technology. Along with improvement in the global communication the economic fraud is remarkably increasing in the global communication. It is being recorded every year that the loss due to these fraudulent actions is billions of dollars. These activities are carried out so gracefully which looks similar to authentic transactions. Therefore, to have a systematized method of fraud detection has become a need for all banks in order to minimize heu and cry and bring order in place. Thus techniques of KNN and outlier detection are implemented to optimize the best result for the fraud detection problem. These methods are proved to slash the false alarm rates and enlarge the fraud detection rate. KNN and Outlier detection are quiet familiar area of research. Outlier Detection is absolutely important task in various application domains. Earlier outliers were considered as noisy data and now it has become severe difficulty in various areas of research. The discovery of outlier is useful in detection of unpredicted and unidentified data in certain areas like fraud detection of credit cards, calling cards, discovering computer intrusion and criminal behaviors etc. Whereas KNN (k-Nearest Neighbor) is used for classification because of its interpretation and low calculation time.
A CONSEQUENTLY INFLUENCE PROTECTED DATA DISTRIBUTION MECHANISM FOR MOBILE CLOUD COMPUTING

: In the current update window, when the user leaves the user group, the audience manager will only cancel the group master key, which means that the user-friendly key is still working. Our system is suitable for devices. If a person within the group delivers the hidden response to the public to an open user, it can make sense with the key. To illustrate this attack, an example of concrete is presented. We show safety in our system under the assumption that Davy-Hellman (DCDH) can be divided. Unfortunately, ABE requires a high-performance account while encrypting and understanding files. This disability becomes more difficult for devices that are very simple because of resources on computers. In this system, we focus on designing the Club Penguin-ABE system by implementing the system's cloud storage system. Because of our estimates, the cost of calculating local ownership costs is lower and can be adjusted. We're trying to create an attack compatibility model by eliminating users who are working with existing users. In addition, we plan for the Penguin-ABE Club program to cancel the current system properly and to ensure that our system is protected by the selection process.
Evaluation of cockerel spermatozoa viability and motility by a novel enzyme based cell viability assay

1. The results of spermatozoa assessment by the WST-8 (2-[2-methoxy-4-nitrophenyl]-3-[4-nitrophenyl]-5-[2,4-disulfophenyl]-2H-tetrazolium, monosodium salt) assay, flow cytometry (FC) or computerassisted sperm analysis (CASA) were compared. 2. Different live/killed ratios of cockerel semen were serially diluted to 120, 60, and 30 × 10 cells/ml, and each sample was analysed by (1) WST-8 assay at 0, 10, 20, 30, 40, 50, 60 min, (2) viability with FC, and (3) motility with CASA. 3. The WST-8 reduction rate was closely correlated with spermatozoa viability and motility. The optimal semen concentration for the WST-8 assay was 120 × 10 cells/ml, and the standard curves for spermatozoa viability and motility predictions, respectively, were yviability60 = 162.8x + 104.96 (R = 0.9594) after 60 min of incubation and ymotility40 = 225.09x + 96.299 (R 2 = 0.8475) after 40 min of incubation. 4. It was concluded that the WST-8 assay is useful for the practical evaluation of cockerel spermatozoa viability and motility. Compared to FC and CASA, the WST-8 assay does not require expensive and complex instrumentation in the lab. Furthermore, one well of the WST-8 reaction can be used to predict spermatozoa viability and motility at the same time, which all lead it to be efficient and economical for semen quality assessment. ARTICLE HISTORY Received 14 August 2017 Accepted 8 December 2017
Applications of Mathematics

We consider a nonstandard elliptic eigenvalue problem of second order on a two-component domain consisting of two intervals with a contact point. The interaction between the two domains is expressed through a coupling condition of nonlocal type, more specifically, in integral form. The problem under consideration is first stated in its variational form and next interpreted as a second-order differential eigenvalue problem. The aim is to set up a finite element method for this problem. The error analysis involved is shown to be affected by the nonlocal condition, which requires a suitable modification of the vector Lagrange interpolant on the overall finite element mesh. Nevertheless, we arrive at optimal error estimates. In the last section, an illustrative numerical example is given, which confirms the theoretical results.
SNOW COVER CLIMATOLOGY FROM METEOSAT-8

The Global Climate Observing System (GCOS) was established in 1992 to ensure that the observations necessary to address climate-related issues are defined, obtained and made available to all potential users. The Swiss GCOS Office at the Federal Office of Meteorology and Climatology MeteoSwiss is responsible to coordinate all climate relevant measurements on the national level in Switzerland. Given the long tradition of ground-based in-situ measurement networks in Switzerland since the middle of the 19th century, these data provide a unique opportunity to analyze the development of the climate over the last 150 years, in particular the regional climate change in the Alpine region. Snow properties are important parameters for the Alpine climatology. Traditionally, they have been measured by nearly 250 in-situ stations in Switzerland. The complementary use of satellite data for snow cover mapping (eg. NOAA AVHRR since 1985) has shown the added value of the satellite data for the snow analysis. However, the low time frequency of the NOAA satellites compared to Meteosat8 implies a lower probability of cloud-free pixels to be classified as ‘snow’ vs. ‘no snow’. Therefore, an operational processing chain has been implemented at MeteoSwiss to derive snow cover maps from Meteosat-8 every 15 minutes. This processing chain is operational since November 2005. In this paper, the role of satellite data in the emerging integrated observing system GCOS is shown. The added value of satellite-based measurements is highlighted at the example of integrated snow cover observations of the Alpine region. For this purpose, the operationally derived MeteoSwiss snow cover product from each day of the winter 2005/2006 and 2006/2007 has been analyzed in comparison to in-situ stations, as well as to a combined groundand satellite-based product (NOAA AVHRR, in-situ stations) for a few cases. The benefit of the satellite information in addition to the insitu measurements is particularly visible during melting periods, eg. in spring, to capture the complex snow cover distribution.
School climate and left-behind children’s achievement motivation: The mediating role of learning adaptability and the moderating role of teacher support

School climate has been reported to have an important impact on children’s achievement motivation, but the mechanism for the impact of school climate on left-behind children has not been fully explored. The purpose of this study is to investigate the roles of left-behind children’s learning adaptability and teacher support in mediating and moderating the relationship between school climate and achievement motivation. In this study, 1,417 left-behind children were surveyed. The results showed that: (1) after controlling for gender and age, the school climate still had a positive effect on the achievement motivation of left-behind children (c′ = 0.177, p < 0.001). (2) School climate perceived by left-behind children directly predicted their achievement motivation, and indirectly through their learning adaptability (a1 = 0.338, p < 0.001; b = 0.341, p < 0.001). In other words, left-behind children’s learning adaptability may play an intermediary role between school climate and achievement motivation. (3) The indirect effect of school climate on achievement motivation through learning adaptability was moderated by teacher support (a2 = 0.153, p < 0.001), and this indirect effect was more significant for left-behind children who perceived high teacher support. The research reveals the importance of school climate and teacher support to the growth and development of left-behind children, thus holding theoretical significance for improving the achievement motivation of left-behind children.
New challenges on Independent Gate FinFET Transistor Network Generation

— This paper shows that double gate devices, like independent-gate (IG) FinFETs, have introduced new challenges in the transistor network generation step during the logic synthesis. Such new paradigm points that just to minimize the maximum number of literals in a Boolean expression is not enough to achieve optimized transistor networks. This way, traditional factorization methods or graph-based optimizations may not be useful to generate networks for double gate devices. In this sense, this paper presents two efficient alternatives to explore the benefits of such devices during the transistor network generation. The first one demonstrates two ways for defactoring Boolean expressions which contribute to decrease the transistor count. Through the proposed defactorization, it is possible to achieve more optimized transistor arrangements compared to other defactorization techniques available in the literature. The second alternative proposed herein is a graph-based method able to find promising arrangements to explore the separated gates of each IG FinFET. The experiments demonstrate that the proposed method can reduce the number of IG FinFETs compared to the traditional methods of transistor network generation.
One pot facile synthesis of nanosized Zinc oxide by direct precipitation method

Nanosized Zinc oxide has been synthesized by using simple and efficient precipitation method from Zinc Nitrate and liquid ammonia with calcinations step at high temperature at 5000C temperature for 5 hours. The nanosized ZnO were characterized by using XRD (X-ray diffraction), TGA/DTA (Thermal gravimetry analysis and Differential Thermal analysis), Scanning Electron Microscopy (SEM) / Transmission Electron Microscopy (TEM) and magnetic measurement techniques. XRD studies showed that zinc oxide was formed as ZnO and it has hexagonal wurtzite crystal structure. The particle size of the synthesized zinc oxide was determined by TEM. TEM images showed that the size of the particle of the zinc oxide varied from 21-40 nm which is in good agreement with the theoretically predicted size of nanomaterials. This method is cheaper, easier and effective in comparison to the known methods for the synthesis of nanomaterials. There is excellent agreement between the experimental and theoretical results.
SURVEY ON DOOR AUTOMATION SYSTEM USING PIN AND FINGERPRINT BY SMARTPHONE

— Door automation is the implementation of information technology and control system to facilitate the daily life easier. The growth of technology make smartphone can control the home appliances. An automated device can work more flexible and efficient in unlocking door. For busy family or busy people, it is not easy to get out of the seat only to reach the door for unlocking people that already have known and made appointment before. Sometimes the key holder may come late or other members may come early, so a door automation system which can access anywhere from the world may be an ideal solution for this. The proposed system presents friendly expense design and implementation of door automation to unlock the door with authentication through fingerprint or pin code via Smartphone application. So it is not only the open button from smartphone android application that anyone can control, but also it is added an interface for fingerprint or pin code which also can be useful as security. Users can change the password used by themselves. Thus, only users who know the password can control to unlock the door. The smartphone android application designed facilitates the users to be free to choose the authentication between fingerprint or pin code. In fingerprint, users can easily open the door as well as close the door. Another work being tried is open the door with pin. The design of proposed method is based on Android Smartphone application, Arduinochip, Nodemcu and Cloud database.
ANALYSIS OF WEB LOG DATA USING APACHE PIG IN HADOOP

The wide spread use of internet and increased web applications accelerate the rampant growth of web content. Every organization produces huge amount of data in different forms like text, audio, video etc., from multiplesources. The log data stored in web servers is a great source of knowledge. The real challenge for any organization is to understand the behavior of their customers. Analyzing such web log data will help the organizations to understand navigational patterns and interests of their users. As the logs are growing in size day by day, the existing database technologies face a bottleneck to process such massive unstructured data. Hadoop provides a best solution to this problem. Hadoop framework comes up with Hadoop Distributed File System, a reliable distributed storage for data and MapReduce, a distributed parallel processing for executing large volumes of complex data. Hadoop ecosystem constitutes of several other tools like Pig, Hive, Flume, Sqoop etc., for effective analysis of web log data. To write scripts in Map Reduce, one should acquire a good programming knowledge in Java. However Pig, a simple dataflow language can be easily used to analyze such data. This paper details the use of Pig Latin for discovering the hidden patterns in millions of web records.
REV IEW AND SYNTHES IS Signs of stabilisation and stable coexistence

Maarten J. E. Broekman,† Helene C. Muller-Landau,* Marco D. Visser, Eelke Jongejans, S. J. Wright, and Hans de Kroon, Abstract Many empirical studies motivated by an interest in stable coexistence have quantified negative density dependence, negative frequency dependence, or negative plant–soil feedback, but the links between these empirical results and ecological theory are not straightforward. Here, we relate these analyses to theoretical conditions for stabilisation and stable coexistence in classical competition models. By stabilisation, we mean an excess of intraspecific competition relative to interspecific competition that inherently slows or even prevents competitive exclusion. We show that most, though not all, tests demonstrating negative density dependence, negative frequency dependence, and negative plant–soil feedback constitute sufficient conditions for stabilisation of two-species interactions if applied to data for per capita population growth rates of pairs of species, but none are necessary or sufficient conditions for stable coexistence of two species. Potential inferences are even more limited when communities involve more than two species, and when performance is measured at a single life stage or vital rate. We then discuss two approaches that enable stronger tests for stable coexistence-invasibility experiments and model parameterisation. The model parameterisation approach can be applied to typical density-dependence, frequency-dependence, and plant–soil feedback data sets, and generally enables better links with mechanisms and greater insights, as demonstrated by recent studies.
Cardiovascular Disease and Cardiovascular Risk Factors Subgroups at high risk for ischaemic heart disease: identification and validation in 67000 individuals from the general population

Background The aetiology of ischaemic heart disease (IHD) is complex and is influenced by a spectrum of environmental factors and susceptibility genes. Traditional statistical modelling considers such factors to act independently in an additive manner. The Patient Rule-Induction Method (PRIM) is a multi-model building strategy for evaluating risk attributable to context-dependent gene and environmental effects. Methods PRIM was applied to 9073 participants from the prospective Copenhagen City Heart Study (CCHS). Gender-specific cumulative incidences were estimated for subgroups defined by categories of age, smoking, hypertension, diabetes, body mass index, total cholesterol, high-density lipoprotein cholesterol and triglycerides and by 94 single nucleotide variants (SNVs). Cumulative incidences for subgroups were validated using an independently ascertained sample of 58240 participants from the Copenhagen General Population Study (CGPS). Results In the CCHS the overall cumulative incidences were 0.17 in women and 0.21 in men. PRIM identified six and four mutually exclusive subgroups in women and men, respectively, with cumulative incidences of IHD ranging from 0.02 to 0.34. Cumulative incidences of IHD generated by PRIM in the CCHS were validated in four of the six subgroups of women and two of the four subgroups of men in the CGPS. Conclusions PRIM identified high-risk subgroups characterized by specific contexts of selected values of traditional risk factors and genetic variants. These subgroups were validated in an independently ascertained cohort study. Thus, a multi-model strategy may
Co-operative Investment policy for Growth and Development of Small and Medium Size Businesses and Improve the Poverty Condition in Bangladesh

The research focuses on the assessment of SMEs (Small and Medium Size Enterprises) & its impacts on socio-economic spheres; it focuses on the effective ways for growth & development of SMEs in Bangladesh for socioeconomic development. Bangladesh is one of the poorest countries in the world with low GDP/capita and minimum purchasing power. 24.8% of the total population of the country does live below the national poverty line ($2/day), while 6.5% of them do live in extreme poverty [4]. To bring the vast population out of the vicious circle of poverty and accelerate the economic growth are the target and attention of the country. To pave the way for first & foremost task is either to create direct employment or create condition to create employment to reduce the unemployment rate & accelerate the source and level of disposable income. Growth & development of SMEs, which create self-employments and employments for low and semi-skilled workers, are the target and attention of the country. But the ways for growth & development of SMEs in Bangladesh are not smooth enough. They are frequently confronted with structural, managerial, financial, and social challenges. For sustainable development large population groups are needed to get the ways for their own development. The research was conducted by structural and semi-structural questionnaires and face-to-face interview of 150 recipients of social classes and ages in rural and urban areas in Bangladesh. The aim of the paper is to analyze the effect of Co-operative Investment Policy through “Co-operative Society Micro-saving Bank” and ‘’Innovative SME Model’’ for growth and development of SMEs and MIAs (Micro Industrial Activities) and its impacts on socio-economic development. The target is to aggregate impoverished individuals’ micro saving, limited capability, little working skills & experiences to create them depositors, investors, successful entrepreneurs & skills workers through establishing co-operative society micro-saving bank and involving them in entrepreneurial activities.
Study of Effects on Anterior Segment Morphometry by Pentacam Evaluation after Small Incision Cataract Surgery

Purpose: To quantify the effects on the anterior segment morphometry and intraocular pressure (IOP) and timing of prescribing of glasses after uneventful small incision cataract surgery (SICS) with intraocular lens implantation in patients normal individuals. Materials and methods: Study included 93 eyes of 93 patients undergoing small incision cataract surgery, followed by posterior chamber intraocular lens implantations (PC IOL). The Pentacam rotating Scheimpflug camera measured the following changes that occurred in the anterior chamber: depth (ACD), angle (ACA), central corneal thickness (CCT) and astigmatism. Additionally, Goldmann applanation tonometry (corrected with Pentacam based) was used to evaluate intraocular pressure (IOP). All measurements were first taken preoperatively and subsequently at 1 st weeks, 4 th weeks and 6 th weeks postoperatively. Results: When measured at 1, 4 and 6 weeks postoperatively, the mean ACD, and ACA increased in all groups (p<0.0001). Astigmatism significantly showed changes up to 4 th week (P=0.0017) and insignificant at 6 th week. The IOP decreased throughout all postoperative periods (p<0.0001). CCT significantly increased in 1 st week (P<0.0001) but latter return to near normal 4 th week (P=0.056) and 6 th week (P=0.814). We found insignificant postoperative pachymetric changes when compared to the preoperative period (p>0.05). Conclusions: Cataract surgery significantly increased ACD and ACA in all individuals. IOP was significantly decreased after surgery, however, there was insignificant changes of CCT. The astigmatism stabilised at 4th to 6th week so glasses can be prescribed in this period.
Gastromalacia (Postmortem Gastric Perforation): Two Cases Reports

eISSN 2383-5710 cCopyright 2020 by the Korean Society for Legal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. 45 Gastric perforation is uncommonly found during autopsy. This could be caused by perforated gastric ulcers, blunt abdominal traumas, tumors, cardiopulmonary resuscitation, or gastromalacia. Gastromalacia, originally described in the 18th century by John Hunter, is a postmortem artifact caused by the autolysis of gastric tissue due to the release of endogenous enzymes [1]. It is frequently encountered in the fundic portion of the stomach near the gastroesophageal junction. Occasionally, the left leaf of the diaphragm is also perforated by a ragged fenestration, leading to the escape of gastric contents into the pleural cavity. In addition, gastromalacia may also involve the distal esophagus, leading to perforation into the left pleural cavity [2]. These may lead to radiographic findings of pneumoperitoneum or pneumothorax. Here, we present two cases of gastromalacia with a literature review. A 53-year-old woman was discovered dead in her bedroom by her husband. At the midnight before her death, she had fallen down the basement staircase of a Karaoke room in a drunken state. Subsequently, she had returned to her house and fallen sleep. Her husband stated that she was sleeping when he left for his office at 07:40 but found her dead at 20:40 when he returned home. An autopsy performed the next day revealed a right temporo-parietal subgaleal hemorrhage with Korean J Leg Med 2020;44:45-47 https://doi.org/10.7580/kjlm.2020. 44.1. 45