Reviewerly/exHarmony huggingface dataset:
FAIR and transparent research data

This interview was recorded in July 2020 for DocEnhance, an EU-funded project that aims to broaden the expertise of PhDs by developing courses in transferable skills. One such transferable skill is how to manage your research data in a transparent manner and as much as possible in accordance with the FAIR principles (Findable, Accessible, Interoperable, Reproducible). Professor of computational chemistry and prorector for research and development at UiT The Arctic University of Norway, Kenneth Ruud gives an introduction to FAIR and transparent research data management, emphasizing that this will not only help Science develop, but also help the career of individual researchers.&#x0D; First published online: July 9, 2021.
A Thorough Study on Weblog Files and Its Analysis Tools

A web server log is a data file created by a server. Many servers collect data about the information requested for the web server, examples are date, time, client IP address, recommendation, user agent, and so on. This data will help identify specific issues on the web. Log files are stored in the web server, web proxy server, and the client browser. This paper provides a detailed overview of weblog files, analytics tools, and reviews of existing research.
Symbolic Representation of Knowledge for the Development of Industrial Fault Detection Systems

In critical infrastructure, such as nuclear power generation, constituent assets are continually monitored to ensure reliable service delivery through pre-empting operational abnormalities. Currently, engineers analyse this condition monitoring data manually using a predefined diagnostic process, however, rules used by the engineers to perform this analysis are often subjective and therefore it can be difficult to implement these in a rule-based diagnostic system. Knowledge elicitation is a crucial component in the transfer of the engineer’s expert knowledge into a format suitable to be encoded into a knowledge-based system. Methods currently used to perform this include structured interviews, observation of the domain expert, and questionnaires. However, these are extremely time-consuming approaches, therefore a significant amount of research has been undertaken in an attempt to reduce this. This paper presents an approach to reduce the time associated with the knowledge elicitation process for the development of industrial fault diagnostic systems. Symbolic representation of the engineer’s knowledge is used to create a common language that can easily be communicated with the domain experts but also be formalised as the rules for a rule-based diagnostic system. This approach is then applied to a case study based on rotating plant fault diagnosis, specifically boiler feed pumps for a nuclear power station. The results show that using this approach it is possible to quickly develop a system that can accurately detect various types of faults in boiler feed pumps.
Aid Grants vs. Technical Cooperation Grants: Implications for Inclusive Growth in Sub-Saharan Africa, 1984-2018

This study investigates the effects of aid grants on inclusive growth in 37 Sub-Saharan African countries for the period 1984-2018. Grant aid is decomposed into aid grants and technical cooperation grants. Two inclusive growth indicators are used namely: gross domestic product (GDP) per capita growth and unemployment rate. The dynamic panel autoregressive distributed lag (ARDL) approach which is employed comprises three different estimators; the pooled mean group (PMG), mean group (MG), and dynamic fixed effect (DFE). The Hausman diagnostics were used to assess the efficiency and consistency of the estimators. Based on the PMG estimator, our findings show that aid grants and technical cooperation grants exert a positive influence on GDP per capita growth in the long-run. However, while the observed influence of aid grants is found to be significant, technical cooperation grants display insignificant effects. In the short run, however, the PMG estimates show that aid grants and technical cooperation grants have negative and insignificant effects on GDP per capita growth. On the other hand, results based the DFE estimators reveal that neither of the aid grants has influenced the unemployment rate positively in the short-run. However, whereasKumi, E., Ibrahim, M., &Yeboah, T. (2017). Aid Volatility and Structural Economic Transformation in sub-Saharan Africa: Does Finance Matter? ERSA Working Paper, (655), 1–27. aid grants contribute significantly to the reduction of the unemployment rate in the long run, technical cooperation grants do not. This study complements the attendant literature by assessing how aid grants versus technical cooperation grants affect inclusive growth. The findings are relevant to international policy coordination for the attainment of sustainable development goals.
Blueprint : Creaturenation Enterprise (Easy-Peasy Applicator For Shaving Cream Can) / Ainun Najiha Ridzuan

This company produce and sell beneficial products for the consumer named “Easy-Peasy Applicator for Shaving Cream Can”. It is a new product in the company which being modified by the existing product that is the shaving cream can that usually come with the spray. The new product that has been introduced will help the consumers to apply the shaving cream more efficiently by making it faster and less smudge. In addition, it comes with a brush that gentle to the skin surface especially face skin. Besides, the additional features which is the connector will help to maintain the hygiene since it can be attach out to wash the brush after using it
Biometric-based Secure Authentication for IoT-enabled Devices and Applications

Smart connected consumer devices employing IoT as the backbone are becoming a part of our day-to-day life. These products are fascinating to everyone but bear a dark side of becoming a threat to consumers and vendors. Users and smart devices manufacturers are losing finances as well as confidential data to the adversary, mainly due to employing insecure authentication methods. There are several reported incidences of such security breaches in IoT-enabled systems. The IoT industry finds it difficult to catch up with fast developments and innovations in lightweight protocols, hardware devices, and authentication mechanisms proposed explicitly for IoT-based products. Furthermore, they are reluctant to embed the evolutions, fearing that consumers may not find the new product budget-friendly. Smart cities, smart homes, smart cars and smart grids are gaining attention from various sections of society with no knowledge of the vulnerabilities of these revolutionary systems. The chapter considers IoT systems from the perspectives of a consumer, a vendor, and a researcher to figure out the present scenario, and give future directions to the authentication-related security issues in IoT subsystems. The device-to-user authentication while accessing connected consumer devices is the area in IoT systems that needs serious attention from academia, the biometric community, and the biometric industry. Also, automated payment systems implemented in smart consumer products are at risk of threats from malicious attackers. Even though there are alliances to brainstorm the specific problem and standardization of protocols for IoT infrastructure, there is slow growth in incorporating the most secure and cost-effective solution to security issues in IoT. We must understand the vulnerabilities and loopholes in IoT infrastructure and correctly design mitigation techniques to build a robust system. The chapter provides a precise investigation of the current scenario to integrate biometric authentication in IoT applications and systems along with the required techniques to mitigate software and hardware-level vulnerabilities in these systems. The study classifies IoT systems and applications into seven categories. The chapter reviews the current research outcomes in this direction and pinpoints their pros and cons while implementing them into future IoT products. It is also required to decide the best biometric modality and implementation mechanisms that are convenient and pocket friendly to the consumers. In addition, the chapter also discusses various biometric traits from the IoT perspective and suggests the best modalities for such systems.
Using deep learning to detect deepfake videos

In recent times, software based on deep learning, due to their ease of availability have made the modelling of real- looking face swapping in videos very easy that leave little signs of forgery. Such forged videos are termed deepfake(DF) videos. Manipulation of digital videos has been illustrated for many decades via an adequate usage of visual effects. Recent progress in the field of deep learning has caused an abrupt increase in the realism of forged content and they can be made very conveniently. These AI-produced means are also called by DF. Forming the DF with the artificial intelligence tools is an easy task. Developing an application to find out whether the given video is a deepfake isn’t an easy thing to do. This is mainly because any such algorithm’s training will require lots of computations. To accomplish this daunting task, we decided to use convolutional neural networks and recurrent neural networks. We begin by extracting features at the frame level using CNN. We will train a recurrent neural network using those extracted features. Our RNN will then be able to identify if a video is fake or not and also check for any temporal variations between frames which were caused by the deepfake forming tools. We will compare the performance of our model with some results from a standard data set. We will keep on improvising our model till it becomes good enough to work with real world data.
Case Study : Air Terjun Laundry / Nurul Anies Suraya Young Rockie

Air Terjun Laundry is a business that provides self-service to wash and dry the clothes without much personalized professional help. It is a well-known self-service laundry at Lembah Sireh since it is the biggest laundry shop at Kota Bharu and has been operating for six years. The facilities offered by Air Terjun Laundry includes user-friendly coin-operated washing machines, dryers and Wi-Fi. A vending machine is also provided for customers to buy drinks
Synthesis of Image from Text using Generative Adversarial Networks

One of the primary applications of recent conditional generative models is the generation of images from natural language. In addition to the testing ability to these model conditional, extremely dimensional distributions, text-to-image synthesis has several exciting and sensible applications such as photo editing or computer-aided creation of content. Using Generative Adversarial Networks (GANs), recent progress has been made. This project begins with a gentle introduction to these topics and the current state of the art models are discussed. Moreover, here propose a distinct deep architecture and GAN formulation to efficiently bridge the progress of text and image modelling, visual thoughts from characters to pixels. It demonstrates the capability of this model to generate plausible images of birds and flowers from detailed text descriptions. In addition, Wasserstein GAN-CLS is proposing a new model for conditional image generation based on the distance from Wasserstein offering stability guarantees. Then shows how the new loss function of Wasserstein GAN-CLS can be used by a Conditional Progressive Growing GAN. The model, combined with the proposed loss, boosts the model’s best Inception Score (on the Caltech bird’s dataset) by 7.07 %, which uses only the visual semantics at the sentence level. Only the model that performs better than the Conditional Wasserstein Progressive GAN is the newly proposed AttnGAN, which also uses visual semiconductors at the word level.
Corrigendum: Increased Functional Connectivity of the Angular Gyrus During Imagined Music Performance

CORRECTION article Front. Hum. Neurosci., 07 July 2021 | https://doi.org/10.3389/fnhum.2021.716376
Design and Analysis of Denoising Framework for Overcoming Speckle Noise Footprints

Sudden change in the brightness and color values in the images causes introduction of noise in image and frames of the video stream. Such random variation of the brightness and color values doesn’t carry any intelligence in fact, it deteriorates the quality of the image and frames in video stream. To nullify the effect of such meaningless information, denoising frameworks are designed. In this research paper we have proposed denoising framework for speckle noise, this approach is sometimes also called as de-speckling algorithm. For performance evaluation we are critically analyzing the de-speckling techniques with respect to the PSNR, MAE, and MSSIM.
Occurrence and genesis of gold in Attapady greenstone belt, Kerala State, India

Attapady greenstone belt (AGB) forms a part of the Peninsular shield of India and occurs within the granulite terrain. Mineralization in AGB is as disseminations within the banded iron-formations (BIF) and as concordant and discordant quartz-veins and veiniets. Present study indicates a primary mineralized zone 8 × 2 km with 1.5 ppm (mean) Au. Placer gold occurs as palaeo, alluvial, and eluvial. Of these, a study of the two former types indicate the presence of a few hundred thousand m3 of auriferous gravel with over 1 g/t Au. Eluvial placers are confined to the hill tops and first order streams draining amphibolites containing Au veins. A two stage genetic model for Au is proposed, which envisages deposition first from metamorphic ore fluids formed by the devolatilization of greenstone rocks with/without basement in the BIF. Mineralization along with quartz and other hydrothermal minerals in fractures and shear-planes from a combined magmatic, released by morphic fluid constitute the second phase.
Factors Affecting the Development of Speech Competencies: A Managerial and Organizational Perspective

The article deals with the analysis of advanced techniques that reveal the dependence of speech competence of students on various factors in the aims of improving speech culture of future specialists. The features of conducting a summative assessment that indicate the conditions for the development of speech competence of students are exposed. The factors affecting the formation of speech competence are elicited. These encompass the following: well-developed verbal memory, language memory, eye-mindedness, verbal reasoning; cognitive and aesthetic needs; self-actualization needs; interest in learning; aptitude to learn languages; beliefs; value system; attitude; professional value motives; positive emotions and others. The main research methods associated with the determination of patterns are theoretical and methodological analysis of the problem, comparative analysis, contrast, mental modeling, empirical research, mathematical methods for data processing which provide us with an opportunity to determine stable links and relations, trends, as well as generalization of the identification of conditions of formation and development of students’ speech competence, study of the speech activity of specialists. The techniques used in the study assessed the individual characteristics of students, which were examined in their dynamics and comprehensively in terms of their inherent patterns: maturation, development, becoming and formation of psychological attributes. The scientific result was comprehension of the factors affecting the development of speech competencies.
PENGARUH MEDIA KOMPUTER TERHADAP MINAT BELAJAR SISWA DENGAN MICROSOFT POWER POINT PADA PESERTA DIDIK KELAS IX SMPN 06 RUPAT TAHUN AJARAN 2020

Learning in schools is still conventional, namely a model that uses a simple system such as lectures, discussions, and group work. In determining the learning model. Efforts to make students improve their mastery of student learning material cannot be separated from several factors. In this case, teachers who are more creative are also needed in order to attract students' attention in learning, create a fun and interesting atmosphere so that students do not get bored and like their learning. The formulation of the problem in this study is Is there an Influence of Computer Media on Student Learning Interest with Microsoft Power Point on Students in Class Ix Smpn 06 Rupat Academic Year 2020 Rupat District, Bengkalis Regency? For this reason, the purpose of this study was to determine the effect of computer media on student learning interest with Microsoft Power Points on students in Class Ix Junior High School 06 Rupat, academic year 2020. Studying outside school with additional hours such as computer tutoring is a method of data collection to determine the effect student interest in learning. This method is done so that researchers can calculate the percentage of students' interest in learning with computer media with students who are not interested in learning with computer media.
MENABUNG AIR HUJAN UNTUK KETERSEDIAAN AIRTANAH MELALUI LUBANG RESAPAN BIOPORI (LRB)

The condition of groundwater in Makassar City is already in a poor condition, because overexploitation has caused a decrease in groundwater level which results in land subsidence, seawater intrusion and deterioration of ground water quality. To maintain the availability of ground water, efforts can be made to save rainwater for recharging groundwater by making biopore infiltration holes. The objectives of the science and technology program for the community (IbM) are that the groundwater crisis that occurred in Parang sub-district Mamajang sub-district of Makassar can be overcome and its long-term target is to encourage the Makassar City Government to make a Perda on obligations for the Makassar people to make infiltration holes biopori in his yard, especially new buildings. The method that will be used in this activity is in the form of counseling for the community in RW 04, Parang Village, Mamajang District, Makassar City about the dangers of groundwater crisis, how to make biopori infiltration holes and demonstration of making in 1 community home. Before counseling and demonstration on how to make a biopori infiltration hole, the level of knowledge of participants was only 22.22% and increased to 77.8% after counseling and demonstration with a value above 6, and a skill level above 60% of the total participants.
MOOC on bullying for primary school teachers

The exponential growth of bullying in schools has contributed significantly to the urgent need for training on this topic, both for teachers and parents, as well as for students. At the same time, the technological changes that we have witnessed in the last decade allow us to diversify and adapt training to current realities, including online environments where cyberbullying can take on dimensions that many children are not prepared for. Thus, the creation of a MOOC seems the most appropriate and dynamic way to teach and prevent bullying in times of a pandemic. Supported by a panel of experts, this study aims to answer clearly and objectively the following research questions: i) What types of MOOC exist in the scope of bullying in Primary Education and the respective platforms for its distribution? How can this type of training contribute to teacher training? What characteristics can we include to improve or innovate the structure of a new MOOC?
Augmented Reality Dressing Room on Smart Devices

Many of the Virtual Fitting Rooms, which are currently available, are built on various methods. Those are mostly virtual avatar or a machine that uses Microsoft Kinect camera, mainly enhancing the experience of in-store shops. The main drawbacks are the high cost of the facility or the inaccurate capturing process, and the lack of a virtual mirror, which limits the presentation to a virtual avatar. By utilizing mobile cameras of smart devices, especially with iOS smart devices, it becomes possible to track the movements of a body, customize body measurements, and create a real-time interactive garment. The project is implemented in Unity3D, a programming environment for 3D applications. The human body tracking feature in AR foundation, a native plug-in in Unity3D, is used for the tracking process combined with the camera on smart devices. Taking a closer look at the results, several 3D cloth models were created in Marvelous Designer, a garment creation programming, and then rigging and weight painting in Blender, a free and open-source 3D modeling application. The pieces of a garment are based on a female 3D model. The pieces of a garment are based on a female 3D model. The clothes are adapted to the body of the user in front of the mobile camera during runtime. In addition, cloth physics is taking care of a realistic representation. The application is built for iOS smart devices such as iPhones or iPad. Furthermore, the Virtual Fitting Room 's interaction features are also highly regarded.
An Efficient Algorithm for the Calibration of Agent-Based Models Using Machine Learning

A new algorithm for calibrating agent-based models is proposed, which employs a popular gradient boosting framework. Machine learning techniques are not used to develop a surrogate model, but rather assist in narrowing down the parameter space during the search for optimal parameters. Our approach is shown to achieve accuracy which compares favorably to the current state-of-the-art methods, while having a smaller computational cost.
Penerapan Sistem Informasi Dalam Peningkatan Kualitas Pengelolaan Data Penjualan BUMDes Kukuh Winangun

BUMDes Kukuh Winangun is a business entity owned by Kukuh Village, Kerambitan District, Tabanan Regency. BUMDes Kukuh Winangun is the target partner of the team that proposes Community Service activities. Partners have problems in sales and inventory data management. Constraints in data management result in partners not having information about business performance, the contribution of goods, and inventory. Problems with access to information have an impact on the formulation of business development strategies. The Community Service Team implements science and technology as a solution to problem-solving for partners. In the area of sales and inventory data management, the team designed and built a computer-based inventory and sales management information system. The final result of Community Service activities is the development and application of desktop-based information systems in sales and inventory data management. Reports generated in the system are built in the form of inventory reports, sales reports, purchase reports, sales profit reports, and stock taking reports. The information generated through the report module can be the basis for BUMDes management in making decisions. Keywords — BUMDes, Information System, Information Management System, Sales Data Management