Reviewerly/exHarmony huggingface dataset:
Modelling Social&amp;Communicative Skills in Children with Special Educational Needs

The paper covers the issues of theoretical frameworks that are being developing around the process of modelling social communication skills in children with special educational needs during language learning process using interactive teaching techniques.
Website Design for an E-commerce Site

PRIMEX Infosys is a digital creative agency. Which is committed to ensuring technologyfor humanity, well equipped with huge number of IT professionals. All have deepknowledge regarding their portion. PRIMEX Infosys is a leading provider of end-to-endIT services and solutions for global companies. Their offshore software outsourcingservices and solutions are designed with a focus on secure, scalable, expandable andreliable business systems. Through their low cost, high quality and reliable offshoresoftware services, they serve their clients giving them value for money and thus clientsatisfaction. Since this company designed and developed so many essential tools and allfor some renowned company they have that much of reputation to satisfy their customersthrough their efficient services.
Krill Herd Algorithm for Color Image Segmentation with Kapur, Otsu and Minimum Cross Entropy Fitness Functions

Color image segmentation is essential to analyze information from the desired image with RGB color space. Generally, visual information can be easily retrieved through the simple, effective technique called thresholding. Segmentation of complex images is accurately achieved, through MultiLevel Thresholding (MLT) with most optimistic objective functions such as Kapur, Otsu and Minimum Cross Entropy (MCE), than Bilevel Thresholding (BLT). However, the complexity in exploring the optimal threshold increases with the increase in levels of threshold. The key to breach this barrier is by the most computationally effective, flexible Krill Herd Algorithm (KHA). The behavior of the krill movement, the foraging activity and the diffusion methods are utilized for global and local searches. KHA incorporates the swarm intelligence and with crossover, mutation operators improve the convergence rate. The performance of the KHA is compared with Teaching-Learning Based Optimization (TLBO) and cuckoo search algorithm (CSA). Experimental results disclose that the Otsu based MLT outperforms the Kapur and the MCE fitness functions. Quantitative and qualitative validations by metrics such as computational time, Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM) confirm that Kapur, Otsu and MCE based KHA outperform the existing techniques for real life applications.
A Classification of Internet Pornographic Images

According to Pornography Statistics,more than 34 percent of Internet users exposeto pornography. There are 12 percent of the total number of websites and 72 million monthly visitors.Internet pornography (Internet Porn) is addictive to teenagers and kids around the world. The normal practice is to block those websites or filter out pornographyfrom kids.In order to do so, researchers has to find a way to detect and classify first. The pixel features including YCbCr range, area of human skin are chosen as pornographyfeatures because of their easy acquisition. C4.5 (Data mining technique)is applied to construct a decision tree. The purpose of this paper is to classify pornography images in a simple if-then rule. The accuracy of experimental result is 85.2%.
LibGuides: Finding Resources & Using Interlibrary Loan: Inter Library Loan for Articles

A Step by Step Process to help students request books and articles through Interlibrary Loan. How to request articles that are not available in full text
Milwaukee car thefts up 175

Car thefts in Milwaukee are up more than 175% in the last year and one neighborhood knows that well. Thieves in Brewers Hill are busting window after window and it's all been caught on camera.
Pragmatic Feature-Based Approach for Sarcasm Detection using Hadoop

People often express their thoughts which are evil by utilising superb or intensified excessive exceptional phrases in the text, this type of sentiment is called Sarcasm. While talking, all human beings regularly use intense stress while talking and some gestural clues like moving eyes, movement of hands, etc., to symbolise Sarcasm. These physical gestures are missing in the textual data and making sarcasm dectection very difficult. Due to these difficulties, researchers are showing high interest in detecting Sarcasm in text, mainly in emotion and textual content material. In this project, we detect Sarcasm from both TEXT and EMOTICONS by using the Hadoop MapReduce framework. Sarcasm means one person commenting on other people by using both positive and negative words
Algorithms for constructing structural surfaces by geophysical data based on neural networks

&amp;lt;p&amp;gt;At the stage of small and medium-scale geological and geophysical studies, in addition to seismic exploration, methods of potential fields (gravimetry and magnetometry) are usually actively used. These methods, in contrast to the profile seismic observations, taking into account modern satellite and aviation technologies, provide a high-quality areal density and magnetic characteristics of the study area. The main tasks of modern gravimetry and magnetometry include the task of constructing areal models, contrasting in density and magnetization of surfaces. Among a large number of algorithmic solutions, the most effective are methods using an integrated approach, in which seismic data on the morphology of reflecting horizon is used as a reference.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Reconstruction of the structural surface morphology by geophysical data can be considered as the problem of finding the relationship between the input information (potential fields, geophysical data, and available a priori information) and the desired surface. To assess the dependence, it is proposed to use the reference plots on which both input and output data are presented. Currently, one of the trends in solving such problems is methods based on neural networks. Neural networks can be of various configurations (feedforward networks, radial-basis function networks, backpropagation networks, convolutional networks, etc.), have a different number of layers and neurons.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this research, we consider the test and real-world example. A site with a known position of the sedimentary cover bottom is considered as a test model. To verify and compare the algorithms, the gravity and magnetic effects of the layer are calculated. The gravity and magnetic fields were supplied to the input to the algorithms for constructing regression dependence and training the neural network. An incomplete model of the sedimentary cover was supplied to the input for training neural networks. The task was to restore the missing part. The parameter of the standard deviation of the original and reconstructed model was less than 2% for all types of neural networks.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;As a real model, a site was considered where basement cover is only partially available. It was obtained as a result of seismic interpretation. All available geological and geophysical data were used to reconstruct the horizon. Models obtained using reconstruction algorithms can be additional information for further detailed description of the geological structure.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;It should be noted that since neural networks help to find complex functional relationships between field parameters and attributes of the studied environment, they could be used in the tasks of complex interpretation of geological and geophysical data.&amp;lt;/p&amp;gt;
Elixir an elliviative administration, cloud-based data security and assurance in health care using Blockchain

One apply found in medical care is persistent change data and administrations inside the cloud, incompletely in light of basic use (e.g., admittance to an entire time span clinical record) and reserve funds (e.g., the political economy of medical care information the executives). There are, be that as it may, limits in like manner crypto logic maltreatment natives Integrate into nurture access the board models that you essentially will deal with and security and protection issues during a cloud-based environmental factors. The most motivation behind this venture is to keep up also, keep up the patient records in medical care. Medical services are frequently a last retreat for a ton of information. The blockchain innovation won’t to safeguard medical services data order all through cloud access. The blockchain contains clinical information and a period stamp. Distributed computing will associate totally unique medical services providers. Licenses tending providers to get to information from wherever immovably. Recoveries data to assailants. the important part say killed prior to being released into the mists. The medical care supplier needs to affirm the important part before move. It’s achievable for business openings, which guarantees that insurance, security, and information the executives rehearses it's essential. This features the need for a great deal of sound, more secure board framework information.
예비 생물교사의 SSI 글쓰기에 나타난 과학 핵심역량 분석

This study examined the relationship between scientific writing types and science core competencies. Also this study analyzed the science core competencies shown in SSI writing by pre-service biology teachers. To this end, 16 pre-service biology teachers were given three SSI writing. Among the four types of scientific writing, the exploratory writing were related to thinking and exploration skills. The comparative writing were related to thinking skills, exploration skills, communication skills. The causal analysis writing were related to thinking skills, participation and lifelong learning skills. In addition, hypothesis debate among the argumentative writing were related to thinking, exploration, problem solving, and communication skills, while evaluation criticism is related to thinking, problem solving, and communication skills. The results of this study have been analyzed to be related to various science core competencies for each type of writing. In particular, SSI writing by preservice biology teachers showed that as the number of writing increases, science core competencies are presented more. Therefore, if writing activities using various SSI writing types are utilized in the pre-service education curriculum, they will be effective in fostering the science core competencies of pre-service biology teachers.
조직 구성원의 사회공헌활동 참여가 조직몰입에 미치는 영향: 직무만족을 매개로

This study examines the mentoring activities of employees at local children's centers as part of the company's social contribution. The study considers how mentoring activities for children and adolescents at local children's centers can be useful not only for their beneficiary mentees but also for mentors. The purpose of the study is to identify the effectiveness of participation in mentoring programs based on corporate volunteer activities on job satisfaction and organizational immersion. The data collected using multiple regression methods were quantitatively analyzed using structured questionnaire techniques for employees who have participated in mentoring programs through corporate social contribution activities. The positive impact of mentoring activities on job satisfaction and organizational immersion was identified. In addition, it was confirmed that job satisfaction had a mediated effect on the impact of mentoring activities on organizational immersion. The implications of the study are as follows. First, the management of the company needs to strengthen social contribution activities such as mentoring activities to satisfy the duties of the organization members, which have a positive impact on the performance of the company and individual satisfaction in the organization. Second, suggestions on personnel management and performance management of enterprises through social contributions were presented.
Structural reconstruction, fault parameterization, and slip rate analysis in the northern Adriatic Sea (Italy): implications for the Plio-Pleistocene tectonic activity of long-lived offshore buried thrusts.

&amp;lt;p&amp;gt;The northern Apennines foredeep is characterized by a Plio-Pleistocene tectonic activity whose driving structures (thrust faults and related anticlines) are always buried by a high amount of syntectonic sediments, both onshore (Po Plain) and offshore (Adriatic Sea), thereby leaving subtle or none apparent signatures in the topo-bathymetry. Compared to the rest of Italy, this area has a relatively moderate earthquake hazard, but historical reports and instrumental recordings testify for significant seismicity. Seismological analyses of recent sizeable earthquakes (e.g., the Mw 6.1, Emilia earthquake in 2012) confirmed that the seismic activity is mainly due to the outermost northern Apennines buried thrusts. In this work, we reconstructed and parameterized the 3D geometry of such buried faults in an offshore sector just south of the Po River delta by interpreting a dense network of 2D seismic reflection profiles. The availability of two regional seismic reflection profiles, coupled with a detailed reconstruction of Plio-Pleistocene horizons, allowed us to restore the deformation cumulated by these thrusts. Our analysis was aimed at (1) establishing the age of inception of the main crustal thrusts, (2) reconstruct the main Plio-Pleistocene tectonic events affecting the study area, and (3) calculate the Plio-Pleistocene slip rates at different time slices and reporting them through probability distribution functions that take into account the uncertainties associated with horizon ages and restoration parameters. Our results show that the Plio-Pleistocene tectonic activity is variably distributed on different thrust faults and decreases exponentially over time after the Gelasian. The analysis performed on the most recent reflectors suggests that a low but not negligible tectonic activity characterizes the main thrusts in the studied region in the last 4-500 ka and hints at a residual activity that may last until the present.&amp;lt;/p&amp;gt;
OBE Teaching Mode in the Course of "Basis of Water Treatment Equipment"

We carried out the OBE idea to establish new concepts, new teaching modes and new management system. Taking the course of “basis of water treatment equipment” as an example, this paper explained in detail how to reflect the OBE concept in the training plan and teaching syllabus, how to formulate the teaching syllabus to support the achievement of graduation requirements, and how to evaluate the implementation of curriculum objectives. It was concluded that the OBE idea required the emphasis on the process evaluation. By refining the learning objectives, learning activities and assessment process, the data for achieving the course goal were collected to support the graduation requirements
Teaching Technology to (Future) Lawyers

The article offers a reflection on how applications of computer technology (including data analytics) are and may be taught to (future) lawyers and what are the benefits and limitations of the different approaches.There is a growing sense among legal professionals and law teachers that the technological changes in the practice of law are likely to promote the kind of knowledge and skills that law graduates often do not possess today.Teaching computer technology can be done in various ways and at various depths, and those different ways and levels have different cost and benefit considerations.The article discusses four models of teaching technology: (1) teaching basic technological literacy, (2) more advanced but general technology teaching, (3) teaching computer programming and quantitative methods and (4) teaching a particular aspect of technologyother than programming (e.g.cybersecurity).I suggest that there are strong reasons for all current and future lawyers to acquire proficiency in effective uses of office and legal research software and standard means of online communication and basic cybersecurity.This can be combined with teaching of numerical and informational literacy.I also claim that advanced technology topics, like computer programming, should be taught only to the extent that this is justified by the direct need for such skills and knowledge in students' future careers, which I predict to be true for only a minority of current lawyers and law students.
LibGuides: Finding Resources & Using Interlibrary Loan: Searching for Articles

A Step by Step Process to help students request books and articles through Interlibrary Loan. Using key words to find articles and using embedded tools to narrow results
Justice Victimology on the Basis of Labeling Theory and Methods to Prevent It

Today, in most legal systems in the world, victimization accounted large share of studies and has great importance. Accordingly, one of the various studies in victimology is justice victimology that analyzes role criminal justice institute on harm to its clients. The examples of the the subject that can be imposed on all those engaged in procedure are imposition of economic costs, inappropriate behavior of judicial factors. To identify the cause and correct analysis should explain Labeling Theory well known. Based on this theory, when criminal exist that legislators criminalize with arbitrary decisions that varies in time and space, or behaviors that somewhere else is permissible and acceptable. In this article, with analysis of justice victimology, its consequences in terms of labeling theory, its destructive effects on the individual and society and effects of lack of attention has explained.
Data Mining Applications for Violence Pattern Analysis with FP-Growth Algorithm

Violence is a crime that is one of the problems the principal experienced by each country. Violence can be interpreted as a behavior that causes harm to someone. According to the results of DP3AKB research in Central Java Province in 2017, there are less many than 200 people in Central Java province experienced acts of violence. By because of the many acts of violence that occur in various forms of violence, it requires definite information about the form of violence that happens most often, in obtaining that information Data mining techniques are needed by using the FP-Growth algorithm. The application of the FP-Growth algorithm to produce form association patterns violence. Hardness data is 420 data, the best 7 rules have been obtained with min value support 50% and min value support 60%. On the best rule results have given a recommendation (solution) so that the DP3AKB can handle the problem of violence well and on target.
Editorial Highlights for Risk Mitigation

The method of designing options and measures to improve prospects and mitigate risks to project goals is known as risk reduction preparation. The method of carrying out risk reduction activities is known as risk mitigation implementation. Tracking known risks, discovering new risks, and assessing risk process effectiveness are all part of risk mitigation progress monitoring MITRE systems engineers working on government initiatives develop actionable risk reduction techniques and monitoring metrics, track risk mitigation plans execution to ensure effective project and programmer completion, cooperate with the government team in performing risk assessments through projects and programmers, and evaluate metrics to assess on-going risk. The planning, execution, and progress monitoring of risk reduction.
Underage Driving Detection - Age Recognition Using Face Detection

Facial recognition with age variation is one of the challenging tasks. Artificial Intelligence age predictions can be used in many fields such as smart human-machine interface growth, health, electronic commerce. Age may be a soft biometric trait which aids enforcement in identification of several crime and victims of underage group. Prediction of people’s age accurately from their facial images is an ongoing active problem. A statistical pattern recognition approach for solving this problem is proposed in this paper.  Convolutional Neural Network (CNN), a deep learning algorithm, is used as extractor of features. CNN requires less processing than other classification algorithm. In this paper, face images of individuals have been trained with convolutional neural network and age with high rate of success has been predicted. The images cover wide range of poses, facial expression, lighting, occlusion and resolution. In recent years, the causality of traffic accidents caused by minor aged people driving have been gradually increasing. There are several serious injuries and damages due to increase in major accidents. Therefore, in this study, age detection using deep learning was developed to alert and prevent these large-scale disasters using facial recognition technology.
Kemampuan Menulis Kembali Legenda yang Dibaca Siswa Kelas VII Semester Genap SMPN 23 Bandar Lampung

Learning to rewrite legend is a problem in this study. In addition to the factor of students' lack of understanding of the important elements in legend, students also have difficulty starting a writing, arranging words or sentences so that the writing process is difficult and takes a long time. The method used in this study is a qualitative descriptive method, because the research data is presented in the form of narrative essays in the form of a series of fictional events and delivered in a systematic timetable, this is in accordance with the research objectives to find out and describe the ability of Bandar Lampung SMPN 23 students in writing back legends that are read. The subjects of this study were students of class VII H which numbered 30 students. While the techniques used for data collection are performance test techniques that are students assigned to write back legends that are read. Based on the results of data analysis, it was concluded that the ability of class VII students of SMP Negeri 23 Bandar Lampung in the 2018/2019 school year in the ability to write back legends that were read was still a lot of mistakes. That is, students have not been able to rewrite legends that are read properly and correctly. The details are with the following indicators. 1) suitability of the contents of the original story, 2) logical sequence of stories, 3) details of events, 4) use of diction, 5) use of sentences, and 6) use of spelling and writing.
Herding Behavior Detection: Bullish and Bearish Cases

This study aims to examine the presence of herding behavior on the Indonesian stock exchange (BEI), especially in the infrastructure, utilities, and transportation sectors.Daily data has been gathered for analysis from the 2013-2017 period, and this period was chosen to capture the extreme market movement, especially in bullish times.For this purpose, we use the herding behavior model by Christie and Huang (1995) to measure return dispersions from market return.The results fail to find any evidence of herding behavior in the infrastructure, utilities, and transportation sectors.Even in its sub-sectors, telecommunications are statistically significant in all market conditions where there is no herding behavior.These findings indicate that investors on BEI have heterogeneous beliefs and indicate that information is imparted efficiently to the investor to obviate their need to follow market consensus on their trading decisions.