Miracle-dz/UniFAR-FTUs huggingface dataset:
Copy – Move Image Forgery Detection Techniques: A Review Paper

Image forgery is a technique in which we change the small content of the image by content. There are various methods which we used to do image forgery but copy-move image forgery is very common these days. In this technique we copy the data from some image and move it to the different image. In this digital world it very difficult these days to find out that the data are correct or not. There are various techniques available to detect the copy move image forgery. In this paper we review a brief discussion about a copy-move image forgery technique, how they help us to secure our data.
Likelihood of using online banking services among consumers: application of logit model

Research on the area of internet banking has been extensively studied in developing countries since internet banking resumed from the new millennium. Most studies on this topic were conducted in Asian countries. Most methods adopted are attempted to analyze the ‘perception' among respondents or consumers on this technology. Very limited studies were using logit or probit regression to explore the ‘probability’ or ‘likelihood’ of consumers using internet banking, in particular among Malaysian consumers. The current study aims to analyze the probability of using digital banking services among consumers in Malaysia using survey data collected in the area of Klang Valley. Responses from the survey are analyzed empirically using logistic regression and the study finds that regardless of the choice of consumers on banks whether it is local or foreign, Islamic or conventional and regardless of how often they visit the bank(s), the likelihood of using online banking is significantly determined by the level of education they have, gender and category of employment. There is a higher probability of choosing online banking services among those who are highly educated, females and those who are not working in the government sector.
Vocabulary Acquisition in English as a Foreign Language: Digital Gameplaying The Sims

The use of digital technological resources for educational settings is a quite recent phenomenon (SAVI; ULBRICHT, 2008). Although recent research emphasizes the importance of integrating technology into the curriculum, its use can only be effective for learning if well integrated in a meaningful way in the classroom (PRENSKY, 2007; SQUIRE, 2006). This article aims to characterize vocabulary acquisition and the use of the digital game The Sims, and to investigate if and how it can assist vocabulary of English as a foreign language. Data collected involved participants of a public school setting in Florianópolis, SC, Brazil. The instruments used were a pre-test, a post-test, a delayed post-test, as well as a narrative writing. Results indicated The Sims as effective for vocabulary acquisition in EFL, since it deals with routine and familiar vocabulary and offers a new virtual life and contextual learning for players.
Performance Analysis of Millimeter Wave Communication Link for Next Generation Mobile Networks

Higher data rate and increased capacity are the primary challenges of the next Generation mobile network infrastructure. In order to address such issues, Millimeter wave (mmWave) communication technology can play a vital role and enable the seamless connectivity among the devices in such a network infrastructure. However unlike the low frequency signals, millimeter waves cannot propagate to long distances and are very sensitive to blockage. Hence such a communication link needs a rigorous analysis prior to its successful practical implementation in next generation networks (5G and beyond) especially in highly dense environmental scenarios. This paper presents the mathematical analysis of the mmWave communication link for various propagation scenarios in a next generation network infrastructure. A simulation study is also carried out to investigate the effect of blocking and other factors such as operating frequency, transmitter and receiver antenna gain and the use of MIMO antenna systems on the performance of mmWave communication link.
Surfactant-Aided Phosphoric Acid Pretreatment to Enable Efficient Bioethanol Production from Glycyrrhiza Glabra Residue

Glycyrrhiza glabra residue (GGR) was efficiently subjected to concentrated phosphoric acid (PA) pretreatment with/without surfactant assistance, and promising results were obtained following separate enzymatic hydrolysis and fermentation (SHF) of the biomass. Pretreatment was carried out using 85 % PA either at 50 or 85 °C with 12.5 % solid loading for 30 min. In parallel experiments, the intact GGR was impregnated in 2 % (w/w) surfactant (Polyethylene glycol) aqueous solution prior to the PA pretreatment. Consequently, the pretreated materials were subjected to enzymatic hydrolysis (50 °C, 72 h) using 25 FPU/g cellulase, and the most digestible biomass was nominated for conversion to bioethanol. Substantial improvement in digestibility of GGR (~92 % hydrolysis yield) was observed following surfactant-assisted PA pretreatment, whereas digestibility yield from the untreated biomass was only 16.1 %. Consequently, the ethanol production form GGR was significantly enhanced by 19.7-fold through separate hydrolysis and fermentation of biomass. Different analytical approaches including water retention value, Simons’ staining, and crystallinity together with FESEM imaging revealed that the improved surface hydrophilicity, increased substrate accessibility to enzyme, and decreased crystallinity could be the major effects of PA pretreatment, leading to higher susceptibility of GGR to enzymatic hydrolysis and subsequent ethanol production.
Anonymous Message Authentication Using Modified Random Secret Pre-distribution for VANETs under Sparse RSUs Environment

In this paper, the chameleon hash function (CHF) and modified random secret pre-distribution (MRSP) will be combined in a secure scheme for authenticating messages in vehicular ad-hoc networks (VANETs). Based on the secrets in the CHF, a trusted authorizer (TA) can issue identities to all RSUs and vehicles. An identity contains one public ID and one private key. The vehicles use the public ID and the private key to ask RSUs for MRSP information. Using the MRSP information, the vehicles can ask other RSUs for new MRSP information in the next time slot, or exchange the information about index set of random secret to build a neighbor set without any negotiation. To generate MRSP information, a pseudo random number generator (PRNG) is maintained by every RSU. A seed value of a PRNG is broadcast by TA in every time slot to generate a common secret pool in every RSU. This paper proposes a fully anonymous message authentication scheme. Based on the results of security analysis and performance evaluation, the proposed scheme outperforms other works.
Agriculture in Developing Economies

Agriculture is an important sector of economic activity in developing countries, with chapters devoted to it in the Handbook of Development Economics as well as a separate Handbook of Agricultural Economics. Here, we focus on the role that field experiments can play in analyzing development issues in this sector when they may be valuable and where the particularities of agriculture may play a role in how the field experiments should be designed and implemented. Although there is a vast literature on agriculture, this chapter will not attempt to review it. We will instead highlight some of the contributions that field experiments have made in relation to six problem areas where the specific features of agricultural environments and farmer behavior in these environments complicate field experiments. For each of these areas, we describe in detail the issues and the implications these issues have for the design of field experiments.
The Implementation of a Real-time Monitoring and Prediction System of PM2.5 and Influenza-Like Illness Using Deep Learning

Nowadays, deep learning is very popular and has excellent application performance in various fields. Specifically, in predicting disease outbreaks. It is possible to quickly and accurately predict disease outbreaks, lead to a significant research project in the medical field. However, there is a lack of technological development particularly in real-time monitoring of influenza-like illness (ILI). Moreover, there are still not sufficient ILI prediction models and results, while the incidence of ILI itself is high. In this paper, we propose an analysis and prediction of ILI outbreaks. In this case, deep learning analysis is applied to predict the ILI outbreaks to provide relevant information for relevant areas. The LSTM model is implemented to obtain information on AQI and ILI incident by using government open source data, research, and analysis of ILI and air quality indicators AQI. The visualization model using Highchart’s with Django framework to present regional air quality and predicts whether influenza in the area will be outbreaks or not.
The Effects of Facial and Text-Based Emotions on Social Media Engagement

The use of images and text within online word of mouth (WOM) has become a fundamental component of firm generated content (FGC); however, much extant research primarily focuses on the textual elements of online WOM. This research examines the use of textual and visual content, particularly the faces within images, to determine how the emotional valence of the two content elements drive consumer engagement. Our findings reveal that the extent to which the two elements are congruent or incongruent can influence the number of comments FGC receives and the emotional valence of consumer comments. We find that a moderate mismatch between emotional valence of textual and visual content can increase total comments for FGC. Additionally, results show that a complete mismatch between the emotional valence of the text and visual elements decreases the number of comments the FGC receives. Notably, results indicate that this negative effect is reversed, leading to higher consumer engagement, for exciting brands in contrast to sincere brands. Content incongruence is also shown to impact the emotional valence of consumer responses similarly. These results offer actionable and concrete implications for marketers developing digital content strategies.
Characterization, identification, and analysis of bioactive compound of endophytic bacteria from Hoya multiflora Blume

Alvionita DN, Rahayu S, Mubarik NR. 2020. Characterization, identification, and analysis bioactive compound of endophytic bacteria from Hoya multiflora Blume. Biodiversitas 21: 195-202. Hoya multiflora Blume has been used for various purposes. Extract hoya has been used antibacterial, stomachache, skin diseases and natural insecticidal. Extract hoya has been reported to have bioactivity but extraction from the plant has been inefficient because it requires large biomass. Therefore, one of the appropriate ways to extract its bioactive compounds is by using endophytic bacteria. The purposes of this research were to isolate, characterize the endophytic bacteria from H. multiflora, identify its bioactive compound and to test its antimicrobial activity against two pathogenic bacteria. A total of 18 isolates from H. multiflora Blume were successfully obtained. Based on antimicrobial test, isolate HMA 2 was able to inhibit Escherichia coli, isolate HMD 6 inhibited Staphylococcus aureus and two isolates inhibited both of pathogenic bacteria (i.e isolate HMB 1 and HMD 4). In addition, minimum inhibitory concentration (MIC) of ethyl acetate extract from HMB 1 was 0.625 mg/mL, while from HMD 4 was 0.125 mg/mL, both against E. coli and S. aureus. Based on 16S rRNA gene sequencing analysis, HMB 1 was the most similar (99.91%) with Bacillus siamensis KCTC-13613 and HMD 4 was the most similar (100%) with Bacillus aryabhattai B82W22. Using GC-MS and compared with database WILLEY9THN08, isolate HMB 1 identified compounds such as 3-benzyl-1,4diaza-2,5-dioxobicyclo and 13 Docosenamide, isolate HMD 4 contained compounds such as linolenic acid, 1,2-benzene dicarboxylic acid, oleic acid amide, 1-nonadecene, and stigmasterol. More than, there are 3 compound identified from isolates HMB 1 and HMD 4: phenol, 2,4-bis (1,1-dimethyl); neophytadiene dan pyrollo [1,2-a]pyrazine-1,4-dione,hexahydro-3(phenylmethyl), respectively.
Holomorphic Lagrangian branes correspond to perverse sheaves

Let X be a compact complex manifold, D c . X / be the bounded derived category of constructible sheaves on X , and Fuk.T X / be the Fukaya category of T X . A Lagrangian brane in Fuk.T X / is holomorphic if the underlying Lagrangian submanifold is complex analytic in T XC , the holomorphic cotangent bundle of X . We prove that under the quasiequivalence between D c . X / and DFuk.T X / established by Nadler and Zaslow, holomorphic Lagrangian branes with appropriate grading correspond to perverse sheaves.
Generation of Cellular Reactive Oxygen Species by Activation of the EP2 Receptor Contributes to Prostaglandin E2-Induced Cytotoxicity in Motor Neuron-Like NSC-34 Cells

Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease characterized by progressive degeneration of motor neurons in the central nervous system. Prostaglandin E2 (PGE2) plays a pivotal role in the degeneration of motor neurons in human and transgenic models of ALS. We have shown previously that PGE2 directly induces neuronal death through activation of the E-prostanoid (EP) 2 receptor in differentiated NSC-34 cells, a motor neuron-like cell line. In the present study, to clarify the mechanisms underlying PGE2-induced neurotoxicity, we focused on generation of intracellular reactive oxygen species (ROS) and examined the effects of N-acetylcysteine (NAC), a cell-permeable antioxidant, on PGE2-induced cell death in differentiated NSC-34 cells. Dichlorofluorescein (DCF) fluorescence analysis of PGE2-treated cells showed that intracellular ROS levels increased markedly with time, and that this effect was antagonized by a selective EP2 antagonist (PF-04418948) but not a selective EP3 antagonist (L-798,106). Although an EP2-selective agonist, butaprost, mimicked the effect of PGE2, an EP1/EP3 agonist, sulprostone, transiently but significantly decreased the level of intracellular ROS in these cells. MTT reduction assay and lactate dehydrogenase release assay revealed that PGE2- and butaprost-induced cell death were each suppressed by pretreatment with NAC in a concentration-dependent manner. Western blot analysis revealed that the active form of caspase-3 was markedly increased in the PGE2- and butaprost-treated cells. These increases in caspase-3 protein expression were suppressed by pretreatment with NAC. Moreover, dibutyryl-cAMP treatment of differentiated NSC-34 cells caused intracellular ROS generation and cell death. Our data reveal the existence of a PGE2-EP2 signaling-dependent intracellular ROS generation pathway, with subsequent activation of the caspase-3 cascade, in differentiated NSC-34 cells, suggesting that PGE2 is likely a key molecule linking inflammation to oxidative stress in motor neuron-like NSC-34 cells.
The Influence of Hotel Attributes on Three Star Hotels Guest Satisfaction in Bandung City

Hotel attribute is the dimension found in the hotel that can affect guest satisfaction. The purpose of this study is to find the influence of hotel attributes on guest satisfaction staying at three-star hotels in Bandung City. Descriptive quantitative method was used. In this study, questionnaires were distributed to 200 respondents with Convenience sampling technique within two weeks. Multiple regression methods with SPSS for window 20 were used to analyze the data obtained. The results of this study show that two Hotel attributes significantly influence guest satisfaction, namely quality service and quality of food. While the other six attributes have no significant effect. Keywords—hotel attribute; guest satisfaction; three star hotel
The Correlation between Tracer  Study and Curriculum Relevance

In many places in reality, agricultural’s graduate works in a bank, a graduate majoring in economics became a journalist, and a law graduate into a credit analyst; this fact leads us to the question of what causes a gap between the world of higher education and the labor market. In other words, rapid changes in the working world as a result of globalization and revolution in the field of information technology, and science, have demanded anticipation and evaluation of the competencies needed by the world of work. Therefore, evaluation is also important so that there is no gap between the education world, specifically higher education world, the working world and the society’s needs. Higher education as part of the national education system has a strategic role in educating the life of the nation and improving its competitiveness in facing globalization in all fields. Hence, there is curriculum in university that has to meet this new challenge. It must always be ensured that universities have relevance curriculum which are periodically updated in accordance with the current state. In this context Ministry of research, Technology, and Higher Education has stated that tracer study is a significant step to address this new challenge. Keywords— curriculum relevance, graduates, tracer study
Algorithms and R Codes for the Analysis of Reliability and Unidimensionality of Measurement Scales: Application to Total Quality Management Practices

Measurement scales used by many studies in social sciences must satisfy some psychometric conditions to make them valid and reliable. Some conditions are verified by using different statistical techniques within an iterative process, which generally requires a considerable amount of time for the user. We present a computational algorithm for the reliability and the study of unidimensionality associated to measurement scales. The suggested algorithm is implemented using the popular statistical software R. Codes are written in the form of R functions and therefore can be easily used. Assuming real data extracted from the industrial sector, the proposed R codes are used to study the reliability and the unidimensionality of measurement scales. This can serve as a practical guide to show how to use the R functions.
A Review on Multi-classifier ensemble data mining approach

Patients are suffered by some negative consequences due to crowding in department. Innovative methods are being used for two purposes such as to reduce overcrowding and improve patient flow. For admission one of the method is data mining by using machine learning techniques. The practical implementation of models in decision tools would provide us admissions of a given time interval with a snapshot of it. Logistic regression, Decision tree and Gradient boosted Machine are the three different algorithms being used for the admission purpose. Instead of this algorithms Random forest, Support Vector Machine and Artificial Neural Network are being used to increase the accuracy in the output. It allows for various resource planning and it also compares the admission rates of predicted and actual patient flow.
The effect of protein vs carbohydrate rich diet on the behaviour of juvenile Indian free-ranging dogs

Domestic dogs have evolved from the carnivorous wolf. During the process of domestication, the dogs underwent directional selection which targeted the gene Amy2B. This process had enabled dogs to survive on more starch rich diets than their ancestors’ carnivorous diet. In India, free-ranging dogs are found mainly in environments rich in carbohydrate based foods but poor in protein foods. Juvenile free-ranging dogs, which are in their growth phase, have higher energy requirements than adults. In our experiment we provided twenty juvenile dogs with either a carbohydrate rich or a protein rich food source and tried to determine which was a better food source for the dogs. We observed that the dogs that fed on the protein foods performed active behaviours at a higher frequency. This result could indicate that despite the dogs’ evolutionary change for more efficient starch metabolism, protein is still a better food source for dogs.
Local Films as an Effort to Optimize Character Education

Phenomenon is very clear now that millennial children hunt a lot of films in theaters. Not only as a lifestyle, but also as a necessity. While the reality in the Indonesian film industry is found the fact that more and more western films from Hollywood, Korean films, Indian films, and others. So the local film is worth educating to have a lot of work on. The Indonesian government must encourage film producers to fill cinemas with local films. Like the three films titled "Turah", "Jack" and "Yo wis Ben" whose local characters are strong. Films by raising the culture of Central Java and East Java and the film in Javanese or Regional languages. In line with the roadmap making Indonesia 4.0, which was launched by the Minister of Industry of Indonesia in April 2018, which demands the collaboration of all institutions and institutions to deal with Indonesia 4.0 era. One of them is encouraging the optimization of educational institutions to prepare technologybased education and human resources. Also hopes that education will still instill the character of the nation's generation If the education mapping is directed towards this matter, the role of producers in educating generations through local films is demanded. Millenials will indirectly learn a lot about ethics, culture and attitudes through film. Do not stop there, the presence of local figures or players also need to be reproduced in the film industry in Indonesia. The research question is how to optimize character education through local films as an effort to instill local ethics and culture for millennials. The research method is a case study by taking three local films in Javanese language and collecting data through interviews. The result is that Local Film plays an important role in efforts to improve character education for millennials. They love local language and cultured ethics more after watching the three films.
Debt-output gap nexus in Nigeria: Does inflationary pressure matter?

Abstract. The study examined the impact of external debt on economic growth in Nigeria using Extended Hausman Rodrick Valesco growth diagnostic framework and Three Gap Model. Annual time series data sourced from the Central Bank of Nigeria statistical bulletin between 1981-2018 was regressed using the Augmented Dickey Fuller test (ADF) to check the stationary properties of the series, and the Engel-Granger Co-integration test to estimate the long-run relationship of the variables. The results show that external debt had negative impact on the Nigerian economy. Keywords. External debt, Economic growth, Economic development, Johansen Cointegration, Time series models, Nigeria. JEL. F34, F43, F63, C01.
Teacher Professional Development Activities in a Higher Education Institution in Ha Tinh province, Vietnam in a time of educational reforms

Teacher professional development (TPD) has been reconceptualized as a process that started from preservice teacher training at tertiary education institutions and continues in the form of job-embedded and collaborative professional learning activities for teachers at their schools. Many researchers have provided a wide range of professional learning activities employed in several Western and Asian societies. This case study used a variety of qualitative data sources to identify typical activities used to promote TPD in one university in Central Vietnam in a time of current educational reforms. Nine activities of TPD are utilised in this study including both externally-offered and school-based ones. These activities are specifically described and also linked to the typical features of the socio-economic, cultural and political context of Vietnam.