Reviewerly/exHarmony huggingface dataset:
A Multi-Dimensional Mean Failure Cost Model to Enhance Security of Cloud Computing Systems

Cloud computing technology is a relatively new concept of offering reliable and virtualized resources, software and hardware on demand to users. It presents a new technology to deliver computing resources as a service. It allows several benefits for example services on demand, provisioning, shared resources and pay per use and suffers from several challenges. In fact, security presents a major obstacle in cloud computing adoption. In this paper, the authors will deal with security problems in cloud computing systems and estimate security breaches using a quantitative security risk assessment model. Finally, the authors use this quantitative model to solve these problems in cloud environments.
TDD Dynamics: Understanding the Impact of Test-Driven Development on Software Quality and Productivity

Test-Driven Development (TDD) is one of the cornerstone practices of the Extreme Programming agile methodology. Today, despite the large scale adoption of TDD in industry, including large software firms such as Microsoft and IBM, its usefulness with regard to the quality and productivity constructs it still under question. Empirical Research has failed to produce conclusive results; all possible results have been reported for both constructs. This research adopts non-empirical measures to gain a deeper understanding of TDD. A two-phased approach has been undertaken towards the goal. The first phase involves conducting a meta-analysis of past empirical research. The meta-analysis quantitatively combines the results of individual empirical studies and identifies moderator variables that could potentially govern the performance of TDD. The second phase of the approach involves the construction of a simulation model of a TDD-based development process. The presented model further analyzes the impact of changes in moderator variables.
A Fast, Fully Automated Prostate Boundary Segmentation Using Probabilistic Approaches In Ultrasound Images

Segmentation of prostate boundaries in transrectal ultrasound (TRUS) images plays a great role in prostate cancer diagnosis. Due to the low signal to noise ratio and existence of the speckle noise in TRUS images, prostate image segmentation has proven to be an extremely difficult task. In this thesis report, a fast fully automated hybrid segmentation method based on probabilistic approaches is presented. First, the position of the initial model is automatically estimated using prostate boundary representative patterns. Next, the Expectation Maximization (EM) algorithm and Markov Random Field (MRF) theory are utilized in the deformation strategy to optimally fit the initial model on the prostate boundaries. A less computationally EM algorithm and a new surface smoothing technique are proposed to decrease the segmentation time. Successful experimental results with the average Dice Similarity Coefficient (DSC) value 93.9±2.7% and computational time around 9 seconds validate the algorithm.
Krimināltiesību normu saprotamība un sistēmiskums

The Section 90 of the Constitution (Satversme) of the Republic of Latvia provides that everybody has the right to know his/her rights, and it includes public availability, predictability, clarity and understandability of legal provisions.Section 90 of the Constitution has the essential meaning in the context of criminal law, because in conjunction with Section 92 of the Constitution it particularly guarantees rights to clarity and predictability of criminal law provisions, especially speaking about dispositions of sections in the Special Part of the Criminal Law.At the same time, clarity and understandability of criminal law provisions are no less important in the context of imposing a punishment.The article is dedicated to predictability, clarity and understandability of the criminal law provisions in the scope of theoretical and practical assessment in case of determining a punishment.
SENECA: An Attention Support Tool for Context-related Content Learning

In this work, we proposed a tool named SENECA that aims to help the students who follow remote lessons to maintain/capture attention, allowing them to focus on learning led by the context.Among the disadvantages of distance education, especially for subjects who lack awareness, the greatest distractions at home are counted.These distractions cause a movement of the student's attention from the current lesson to disturbing events.For this reason, there is a need to experiment with new solutions also linked to Information Technology (IT) to improve the focused learning during distance education.Our tool's technical idea is to create a real-time summary of the topic treated by the teacher.The system captures the text every five minutes, generates outlines, and scratches them and browses them to eliminate repetitive portions after each survey.On the general generated summary, Natural Language Processing techniques are applied to extract categories and keywords.The latter will show the highlights of the speech.
Design of Trustworthy Cyber-Physical-Social Systems With Discrete Bayesian Optimization

Abstract Cyber-physical-social systems (CPSS) with highly integrated functions of sensing, actuation, computation, and communication are becoming the mainstream consumer and commercial products. The performance of CPSS heavily relies on the information sharing between devices. Given the extensive data collection and sharing, security and privacy are of major concerns. Thus one major challenge of designing those CPSS is how to incorporate the perception of trust in product and systems design. Recently a trust quantification method was proposed to measure trustworthiness of CPSS by quantitative metrics of ability, benevolence, and integrity. In this paper, the applications of ability and benevolence metrics in design optimization of CPSS architecture are demonstrated. A Bayesian optimization method is developed to perform trust based CPSS network design, where the most trustworthy network with respect to a reference node can be selected to collaborate and share information with.
THE COMMUNITY OF PRACTICE IN THE EDUCATION

A community of practice is a group of people who share a concern, a set of problems or a passion about a common topic, a passion for a professional or personal activity.Universities may be regarded as professional communities in which joint activities are carried out, with well-defined structures.Using networks at university level increases joint assembly of ideas held by each individual, while the exchange of ideas and practices inevitably may lead to the system enrichment, producing effectively loops of innovation and development.
Multi-Layer Information Security Framework for Software – as –a- service Platform- as – a –Service and Infrastructureas-a- Service of Cloud Computing Model

Cloud computing increased a widespread recognition as paradigm of computing.The main objective is to reduce the need for customers' security in new hardware or software by proposing flexible cloud services, with a usage customer gaining the advantages of the pay per use approach.Various security and confidentiality issues: both problems (vulnerabilities, threats, and attacks) are the pressing demand of cloud computing to find solutions (controls).We have discussed the security issues and authorization of cloud computing, customer and their privacy.Understanding number of vulnerabilities, threats, and attacks and identifying controls for these problems.We have proposed a Multilevel and multifactor Information security framework for cloud computing users with the use of cryptography techniques to guarantee the security and authorizations of the customer and data in cloud situation.
Au-bearing Pyrite and Pt-Re-rich Molybdenite in the Sulphide Mineralized Younger Granites in the Eastern Desert of Egypt

Several younger granitic plutons in Egypt are found hosting a variety of rare metal mineralization including uranium.Two of these granite plutons; namely El-Missikat and Gattar are located in the central and northern parts of the Eastern Desert respectively.The general geology and radioactivity of both plutons have been studied by several authors (e.g.El-RAMLY and AKAAD 1960; GHOBRIAL and LOTFI 1972; DARDIR and ABU ZEID 1972;AKAAD and NOWEIR 1980;EL-KASSAS and BAKHIT 1989; HUSSEIN and SAYYAH 1992, etc.).For the purpose of the present study, visible pyrite-rich granite samples were collected from El-Missikat uranium exploratory mine.Also, molybdenite-rich granite samples were collected from Gabal Gattar granitic pluton which represents one of the most important molybdenum mineralized district in Egypt.Pyrite is actually one of the principal Au-bearing minerals in refractory gold ores and in which gold is often referred to as "invisible" gold.The gold content of arsenian pyrites generally increases with arsenic content.Much of this gold is present as "invisible" gold (particles less than 0.1µm) and many studies shown that the gold consists either of submicroscopic metallic particles or is incorporated as chemically bond gold (CATHELINEAU et al. 1989;CABRI et al. 1989; COOK and CHRYSSOU LIS1990;and FLEET and MUMIN 1997)."Invisible gold" in pyrite is defined as an Au solid solution of the pyrite lattice, sub-microscopic Au nanoparticles in the pyrite, or other chemisorption complexes of Au (YUICHI MORISHITS, 2019).The term invisible gold includes (1) nonstructural submicron scale particles (0.1 to 0.01 microns) and nanoscale (~1 to 10 nm) particles, and (2) structurally bound solid solution or isomorphic states.Because invisible gold is difficult to separate and concentrate from the ores, it has become known as refractory gold.Refractory gold ores are generally far more expensive to process than free gold ores (ROSS R. LARGE, and VALERIY V. MASLENNIKOV, 2020).The detection of invisible gold has become important because, for many countries, high-stock deposits of disseminated sulfide ores with refractory properties are the main source of gold production (A.V. VOLKOV and A. A. SIDOROV, 2017).
Системна організація конструктивно-логічного аспекту професійної пам’яті музиканта-виконавця

Purpose of the research: to trace the efficiency of the work of some aspects of the professional memory of a musician-performer, depending on the activation of the constructive-logical principle, to systematize the methods of conscious reading of the piano score. Give a number of examples of the use of the proposed algorithm by pianists. The research methodology represents the performing approach in the structural analysis of the musical stuff of a piece and is based on the system-analytical method. When considering the material of the study, harmonic and linear-horizontal analysis were used. Scientific Novelty: an algorithm for the practical implementation of the constructivelogical aspect of professional memory is presented, and the importance of pairing this type of work with certain parameters of physical perception, reproduction and preservation of musical text is substantiated. Conclusions: when working on learning the text, the transition from the spontaneous and unconscious to the level of the conscious and non-random is realized through rational comprehension, as well as analytical and logical reading of the musical score. The motor or tactile memory of the musician-performer, which is the strongest for most musicians, becomes a true partner of the artist only when it is supported not only by the auditory and visual aspects of “fusion” with the piece of music, but also by a clear constructive-logical analysis, which is a theoretical “grasping” of horizontal and vertical musical score. The latter is largely based on melodic and harmonic analysis. Accurate mastering and repeated elaboration of this structural framework acts as an element of work that is able to provide such a level of professionalism in which the head, controlling its hands, minimizes white text spots and contributes to a special level of reliability of reproduction and durability of preservation of the text.
Open Interest Analysis Based on IPTV Users

Current data frameworks make it progressively simple to acquire knowledge into the open intrigue, which is ending up increasingly more significant in differing open and corporate exercises and procedures. They propose and depict a system and a technique for assessing open enthusiasm from the verifiable negative criticism gathered from the IPTV group of spectators.Theexplorationcentersessentiallyaroundthechannel change occasions and their match with the substance data got from shut subtitles. The proposed and depict system and a technique for assessing open enthusiasm from the implicit negative feedback gathered from the IPTV spectators our examination scopes basically on the channel change occasions andtherematchwithsubstancedataacquiredfrom shutcaptions. It can cover an a lot more extensive population, and identify even minor varieties in client conduct. The displayed structuredepends on Concept modeling, viewership profiling and consolidates the understood watcher responses into an interestscore.
Research on Energy-Efficient Resource Provisioning System for Cloud Datacenters

Cloud computing frameworks are intended to help the availability and sending of different assistance situated applications by the clients. Distributed computing administrations are made accessible through the server firms or server farms. These assets are the real wellspring of the power utilization in server farms alongside cooling and cooling gear. In addition the vitality utilization in the cloud is corresponding to the asset usage and server farms are nearly the world's most noteworthy purchasers of power. The asset distribution issue in a nature of NP-complete, which requiring the improvement of heuristic systems to take care of the asset allotment issue in a distributed computing condition. The multifaceted nature of the asset distribution issue increments with the size of cloud framework and winds up hard to settle successfully. The exponential arrangement space for the asset designation issue can look through utilizing heuristic methods to acquire a problematic arrangement at the satisfactory time.
Pengaruh Photovoice Interactive terhadap Peningkatan Pengetahuan Penanganan Bencana Longsor pada Remaja

The purpose of this study is to determine the effect of interactive photovoice on landslide disaster management knowledge in adolescents. This study uses a quasi experimental pre test and post test. T test results showed an increase in knowledge of landslide disaster management in adolescents compared with the control group (p value = 0,000). In conclusion, Photovoice interactive influences the knowledge of landslide disaster management in adolescent age groups in Salem District, Brebes Regency.&#x0D; &#x0D; Keywords: Landslide Disaster, Photovoice Interactive, Youth
Occlusion Detection with Background Elimination and Moving Object Tracking

An occlusion is said to be a situation when few parts of an object cannot be viewed by human vision. Detecting an object is quite difficult to identify and not so easy to track the moving objects during occlusion. It can be achieved in two steps. The first step is to identify the foreground or background image frame by frame, by naming each and every pixel in the frame. The next step is to compare the observations at each point in the sequence of the moving object with occlusion. It can be done by subtracting the background which yields pixel as combination of Gaussians. Then the distribution of Gaussian have to be calculated to conclude the result from the background process. This method is very much useful to identify the motions in surveillance camera, repeated suspicious movement and elongated changes in the scene.
Introduction to the Minitrack on Emerging Issues in Distributed Group Decision-Making: Opportunities and Challenges

This mini track addresses emerging issues, such as diversity, culture, adaptability, mobility, remote monitoring, smartphone vulnerability, sharing economies and agility related to teams in distributed group decision-making, as well as the underlying theories of group dynamics, coordination, and communications among groups.The papers submitted specifically examined the emerging issues related to team configuration, communication challenges and performance in a distributed environment.
Geo-Accumulation and Health Risk of Trace Metals in Road Dust of the Residential Areas Close to Industrial Sites of Delhi

This study investigates the trace metal content of the road dust and its health impacts on the population of Delhi.Delhi is a rapidly urbanising city, where vehicular fleet is very higher.With increasing number of industries, motor vehicles and population, the pollution load of the city is also growing.The city holds many complex setups of its major and minor industries surrounding the residential areas.There is no clear boundary between industrial and residential areas.People residing in and around the industries in Delhi are assumed to have greater exposure to industrial pollution.In the present study, road dust samples were collected from residential areas (which are close to major industrial area of the city) in the winter season of the year 2018.Before analysis, all samples were processed, homogenised and subsequently subjected to acid assisted Microwave digestion.The total trace metal analysis was carried out by Atomic Absorption Spectrophotometer.The result indicated that the distribution patterns of the trace metals in road dust were in the decreasing order as Fe>Mn>Zn> Cr> Pb>Cu>Ni>Co.Pollution index like Geo accumulation index (Igeo) values were calculated to assess the degree of contamination of each metal.A high Igeo value was observed for Cr (3.2) followed by Pb(2.8) and Cu(2.7).The high geo accumulation suggests anthropogenic enrichment of the metals over a prolonged period.Human Health risk assessment was also carried out to infer the probability of carcinogenic and non-carcinogenic risk of the trace metal therein.The carcinogenicity for metals known as probable carcinogens (WHO) was also calculated by all possible exposure pathways; ingestion, inhalation and dermal.The value of Hazard index (HI) showed that all the studied metals are in safe limits, but Mn (HI>1)can pose the non-carcinogenic risk to the exposed children.The carcinogenic risk from Cr was higher for the ingestion pathway.Metals like Ni, Cr and Pb showed carcinogenicity with this observed concentration.Health implications in road dust by Ni,Cr and Pb in studied residential areas strengthen the fact that urban population are prone to high carcinogenic risk.
A Different Text Mining Process for Classifying Journal Databases using Machine Learning Algorithms

Google is the information repository for the entire world and is an important Search engine used for Information Retrieval. Accessing web pages is getting increased everyday which can be compared to the speed in which light travels. Biggest Challenge is identifying the user interest and providing them information based on the high relevancy. Mostly researchers search journal documents for their research every day. Classifying the content as papers or Slides or thesis is very difficult as the words used in these documents are not semantically checked. To mine the correct content in web page Data Mining is used by most of the researchers. Text Mining is one of its application. Text mining in nutshell is extracting useful information from unstructured data. The proposed Model Author Keyword Weightage in Journal Ranking (AKWJR) is developed to retrieve relevant journals that will help the researchers to identify the relevant documents from the pool of irrelevant documents. In many keyword ranking applications such as RAKE and TEXTRANK author annotated keywords were compared and used for ranking. The assignment of keywords to article by the author is different in their form and perspective. Though they were not choosing the keywords in a controlled vocabulary the keywords were used to describe their own content in the article. Two algorithms were used to arrange the keywords according to topics and the keywords inside the journals will be scored depending on its presence in various fields in the article. Depending on the score the journals will be ranked in such a way that the author can decide whether to open the article for their requirement. This is achieved through Latent Dirichlet Allocation, RankSVM and TF-IDF Algorithms.
Research on the Application of Information Teaching in English Teaching in Higher Vocational Colleges

With the continuous development of modern multimedia information technology, the traditional English teaching method has shown a backward trend. Nowadays, most higher vocational colleges apply modern information technology to teaching, which can enrich the content of English courses taught by teachers and make the English teaching classroom in higher vocational colleges more efficient and harmonious. By promoting the application of information technology in English teaching, we can better promote the enthusiasm of students in higher vocational colleges, enhance their interest in learning, and then improve their English level.
8. Evaluating data visualization : Broadening the measurements of success

This chapter investigates the evaluation of data visualizations using observational research in an award-winning design studio.It outlines some professional and commercial forces that are involved in the shaping of evaluative strategies and identifies differences in methods and forms of evaluation in projects with different aims and intended audiences.The research showed that alongside quantitative headline f igures of consumption, such as audience reach and interaction, qualitative measures of audience experience-which consider the sociocultural context of consumption-were sometimes included in evaluation strategies, but this varied between projects depending on the level of access to, and knowledge about, the audience.This chapter highlights the importance of such measures, outlines attempts to develop them, and comments on the potential to do so.
The Feature based Image Stitching Techniques

The photographic images taken from different sources are integrated into one to form a new panoramic image which has high resolution when compared to the original image. Usually, image stitching can be done using any computer software. Image stitching helps us in extracting the actual information from shredded data. The torned paper can be reconstructed by means of image stitching process which is applied in forensic department. Digital maps and satellite photos can be reconstructed through image stitching algorithms which is also known as Image mosics. In recent days, many researchers introduced various algorithms to address the issues in Image stitching technique. Feature based Image stitching technique plays a vital role in most of these algorithms. In feature-based technique, local descriptor is used to compare an image’s feature points with another image’s feature points to predict the feature points for the given pair of image. In this paper different image stitching techniques, comparisons between various features descriptor and the steps involved in Feature extraction in Image stitching method are discussed.