Reviewerly/exHarmony huggingface dataset:
Cyber Harassment and Free Speech

For most people the internet has been a dream come true, allowing instantaneous access to a vast array of information, opinion, and entertainment and facilitating communication with friends and family throughout the world. For others, however, the internet has wrought a nightmare, allowing often anonymous enemies a platform for vicious attacks on the character of their victims and a means for revealing to the world embarrassing private information about them. To combat these attacks, victims and law enforcement officials in the United States have employed both analogue remedies such as harassment and stalking laws as well as cyber-specific provisions. Since the attacks involve speech, however, all these remedies must comport with the First Amendment. The typical response of courts and commentators to the First Amendment issues raised in these cases is to ask whether the perpetrator’s speech falls within one of the limited and narrow traditional exceptions to First Amendment coverage, such as true threats, defamation, obscenity, or fighting words. This approach is understandable in light of unfortunate dicta in several United States Supreme Court decisions—that all content-based restrictions of speech other than speech falling within one of these exceptions are subject to “strict scrutiny,” a rigorous test that few speech restrictions can pass. This chapter argues that this approach to dealing with cyber harassment is misguided. This methodology often results in shoehorning the speech at issue into exceptions into which the speech does not fit, or worse yet, in a finding that the speech is protected by the First Amendment simply because it does not fall within a recognized exception.
The Development of Psychomotoric Appraisal Instrument in Fundamental Barber Practices – The Effort in Increasing the Learning Process of Barber Lecture Subject

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Lower bounds for electrical reduction on surfaces

We strengthen the connections between electrical transformations and homotopy from the planar setting---observed and studied since Steinitz---to arbitrary surfaces with punctures. As a result, we improve our earlier lower bound on the number of electrical transformations required to reduce an $n$-vertex graph on surface in the worst case [SOCG 2016] in two different directions. Our previous $\Omega(n^{3/2})$ lower bound applies only to facial electrical transformations on plane graphs with no terminals. First we provide a stronger $\Omega(n^2)$ lower bound when the planar graph has two or more terminals, which follows from a quadratic lower bound on the number of homotopy moves in the annulus. Our second result extends our earlier $\Omega(n^{3/2})$ lower bound to the wider class of planar electrical transformations, which preserve the planarity of the graph but may delete cycles that are not faces of the given embedding. This new lower bound follows from the observation that the defect of the medial graph of a planar graph is the same for all its planar embeddings.
GEOLOGY AND FORMATION OF NEVRUZTEPE Fe-Cu SKARN MINERALIZATION (YEŞİLHİSAR-KAYSERİ)

The Nevruztepe iron-copper prospect is a skarn near Yeşilhisar (Kayseri). It has been overlooked as a potential producer of copper. The skarn was generated in Permian to Jurassic carbonate rocks by the Eocene Yahyalı granitic pluton. Lithologic units, including skarns, dip about 15 degrees southward. Skarns are both prograde (garnet and diopside) and retrograde (epidote); both exoskarn and endoskarn exist. Most of the magnetite is in a quartz-sulfide stage in retrograde skarn that is cut by veins and lenses containing quartz-pyrite-chalcopyrite. Granite and mineralized skarn are rare at the surface. From 2013 to 2015, 31 drill holes (totaling 6.178,5 m) encountered skarn to a depth of 450 m. Mineralized zones vary from 1,2 to 54,7 m thick. Fe mean grade ranges from 12% to 49%; mean copper grades vary from 10 to 4650 ppm. The deposit contains 5.096.788 tonnes of mineralized material. Microscopy on samples of drill core shows that the ore minerals are primarily magnetite, hematite, and chalcopyrite. Some magnetite is altered to hematite. Experiments show that with grinding to 100 microns the iron can be beneficiated to 66%. Waste from separation of the magnetite is 0.16 to 0.19% Cu; with flotation this was beneficiated to 19% Cu.
EXPLORING EFL STUDENTS’ EXPERIENCES ON ONLINE-BASED WRITING PORTFOLIO

The aim of this study was to explore students' experience towards online-based writing portfolio. As the use of information technology evolved, the penetration of online lifestyle into youths' life has inevitably come deeper. In order to get the students engaged with their lesson, it was decided to make use of some online platforms for the students to work with their tasks in writing course. Utilizing qualitative method the study involved 30 students of English Department in Universitas Muhammadiyah Kalimantan Timur. The instrument for data collection was a questionnaire with open-ended questions. The results showed that in general students were motivated to use the platforms as learning media for writing. They found it easy to write their essay assignments with these facilities since it could develop creativity.
App Store Listing

The most important marketing for any app is listing the app in the App Store. Every listing is formatted by Apple automatically, so the only thing that differentiates your app is the content you put on it. This is the thing everyone in the world sees before downloading your app.
Virtual Reality and Distance Education

What is the next generation of learning technology: the cellphone, your watch, virtual reality, or all of the above? The research question being asked is: How can Virtual Reality (VR) assist students in learning? This research proves that virtual reality technology does enhance 3D spatial visualization skills of students.
Joint Sparse Neighborhood Preserving Embedding

Feature extraction and feature selection are the two most commonly used methods for dimensionality reduction in the field of machine learning. A new method can do feature extraction and selection simultaneously was presented in this paper, we named the method as Joint Sparse Neighborhood Preserving Embedding (JSNPE). Our model can retain the local relationship when the data were projected in the new sunspace, because we construct an adjacency graph matrix based on the neighborhood relation of data points. What's more, our model can obtain jointly sparse projection by introducing the L21 -norm regularization on the projection matrix. By using Lagrange multiplier method, we iteratively solve the objection function. We get the experimental results on two public face dataset to validate JSNPE is a better method than some well-known methods that used to feature extraction and selection.
XOR-based unexpanded meaningful visual secret sharing scheme

Visual cryptography is a technique to conceal the secret information into n shares, distributed to n participants. When any k ≤ n, 2 ≤ k ≤ n, shares are printed on transparencies and stacked together, information about secret image can be revealed directly by the human visual system with poor visual quality. It is an issue for the researchers, to improve the quality of shares and reconstructed image. This paper proposes n-out-of-n, n = 2 × i, i = 1, 2, 3 XOR-based unexpanded meaningful visual secret sharing scheme for binary or halftone secret image. When all the shares are 'XOR'ed, it reveal secret image without any loss. Feasibility of the proposed scheme is checked by extensive experimental results on a binary image. Experimental results and comparison with related works show that proposed scheme performs better than the state-of-the-art approaches. It is analysed on the basis of some quality metrics to evaluate the performance.
Identification of Young Women’s Nutrition and Reproductive Knowledge in Making Video on Community-based Learning

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Swensen, Pelé, and the Blockchain

In this article, the authors provide a non-technical discussion about the cryptocurrency market, initial coin offerings (ICOs), the fundamental impact blockchain technology may have on a range of market segments, and the structural mechanisms with which companies create value and facilitate value exchange with their consumers. Furthermore, the authors highlight how the combination of blockchain technology, low-cost cloud computing offerings, machine learning, artificial intelligence (AI), and so forth, are changing the way market participants create, distribute, and exchange value. The combination of these technologies is and will continue to be the fundamental force driving the transformation of commerce globally. <b>TOPICS:</b>Currency, big data/machine learning
Introduction to the Minitrack on Mixed, Augmented and Virtual Reality: Co-designed Services and Applications

Virtual reality (VR) refers to computer technologies that use software to generate the realistic images, sounds and other sensations that represent an immersive environment and simulate a user's physical presence in this environment [10].Mixed reality (MR) refers to combining real and virtual contents with the aid of digital devices [3].Mixed reality is seen to consist of both augmented reality (i.e., virtual 3D objects in immersive reality), and augmented virtuality (i.e., captured features of reality in immersive virtual 3D environments) [7].All these technologies have recently peaked in terms of media attention as they are expected to disturb existing markets like PCs and smartphones did when they were introduced to the markets.The first wave of VR came already in 1990's when a number of industries were inspired by games [1,11,6].However, the user experience was still unpleasant and the hype soon passed.After 2005, a second wave of VR emerged and was more successfully employed in different fields such as engineering, medicine, mental health, design, architecture and construction, education and training, arts, entertainment, business, communication, marketing, military and travel [9,13,6].Now, device, component, software and user-interface development is globally moving fast forward and many world-leading players in manufacturing and ecommerce, for example, are adopting these technologies.Current academic research in the MR sector has concentrated on technology and user-interface research but there is a research gap in studying user experiences and decision-making, technology advancement and application development side-byside in order to understand their value-in-use.The user-value drivers are numerous and should drive application development.So far, the key value drivers have been identified to be cost-saving through out-of-home and out-of-office access, total control and high level of personalization, going beyond reality, personal efficacy experiences, feeling of
Gaze Fixation Patterns Correlate with Visual Attention and Memory: the Results of a Pilot Study in Healthy Subjects

In recent years, distinguishing between similar short-term memory traces (pattern separation) in humans and animals has become an important part of neurophysiological research aimed to localize these functions in the brain.The aim of this study was to assess the spatial gaze distribution in healthy subjects with a specific pattern separation error detected in visual attention and memory tests using the eye tracking technology.Materials and Methods.The 45 healthy volunteers were enrolled in the study and divided into two independent groups.In group 1 (28 subjects aged from 19 to 78 years old), the age-related features of visual fixations distribution were studied in the task of distinguishing similar objects.In group 2 (17 subjects aged 19 to 25), the distribution of visual attention in specific areas of the object was investigated.An original neuropsychological method was used: visual stimuli, eye tracking and subsequent assessment of stimuli recall and recognition.Results.We found significant differences in the distribution of visual fixations between the younger and older groups (p<0.05), as well as in the occurrence of pattern separation errors (p<0.05).The obtained data support the hypothesis of different physiological mechanisms that control the spatial distribution of visual attention in subjects of different ages.
Evaluation of Different Compositions of Organic Fuel for Biogas Production Using Fuzzy Modeling

Production of biogas is dependent on composition of organic fuel. Evaluation of different compositions of organic fuel for biogas production using fuzzy modeling was conducted. Eleven variants of composition were determined. For evaluation of these variants an existing method based on the use of fuzzy indicator models was utilized. Results of computation for variable “The electrical energy yield” indicated that composition of organic fuel (variant 11) was the best alternative.
Investigating Sentiment analysis using Clustering and NLP tools

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Econometry Model of the Impact of Macroprudential Policy on Poverty in Indonesia

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An indigenous tool (NoJavaCloud) to handle virtual nodes to simulate the cloud tasks

Now a days, computing in real-time for greater timesaving and ease of access made the cloud computing vital in Data Management.In general, the information technology services can be identified as "Software (SaaS), Infrastructure (IaaS) and Platform as Services (PaaS).Cloud can be known for one can access relevant data elsewhere with/without knowing the background of the data handling mechanism.In order to attain efficient clouding, researchers perform cloud simulation.CloudSim, SPECI, CDOSIM and DCSim are some available open-source software packages to help the cloud simulation.Lack of Graphical User Interfaces and Back-End support, Application Security are few major cons with the open-source cloud simulators and the customization towards specific application are really a challenge with the open-source simulators.This work describes an indigenously developed (NoJavaCloud) cloud simulator to resolve the struggles faced with the existing open-source software packages.A typical data set of input parameters resolved and reported in the existing literature is taken as bench-mark problem and same was processed in the indigenously developed (NoJavaCloud) simulator.The main intension of this article is to find the suitability of this indigenous package for real-time application compared with the existing simulator (Cloudsim).Results revealed that, NoJavaCloud produced exactly better or similar simulation that produced by the CloudSim.
Generating multi-photon entangled states from a single deterministic single-photon source

We present a new compact fiber optic system which together with a high brightness single-photon source facilitates the generation of multi-photon entangled states. Two and three entangled photon states have been prepared and measured.
Evaluation of Models to Implement the ISO 9001 Process Approach

The ISO 9001 standard is adopted worldwide by organizations from different sectors.The ISO 9001:2015 guidelines for implementing the process approach require not only the identification of the organization processes, but also the description of their interactions as a network system.Flow charts are a common tool adopted in quality management to show the sequence flow of a process.However, they do not show interrelations between different processes.The first aim of this study is to investigate the utilization of some software engineering models to satisfy the process approach requirement in the ISO 9001:2015 standard.The second aim is to show the implementation of the ISO 9001:2015 process approach and the "Plan-Do-Check-Act" (PDCA) cycle to manage academic programs processes as a case study and to present how the proposed models can be utilized to describe the interactions between processes.Finally, the study used a semi-structured interview methodology to evaluate the proposed models based on three criteria: understandability, modifiability and process improvement.
ASSESSMENT OF SURFACE DOWNWELLING SHORTWAVE RADIATION IN 2021-2050 IN LAAYOUNE − SAKIA EL HAMRA REGION, MOROCCO

Morocco's energy system is highly dependent on external energy markets. According to the Ministry Energy, Mines and Sustainable Development today more than 93 % of energy resources are imported to Morocco. In 2008 the Moroccan Government has developed a National Energy Strategy, and one of its priority areas is to increase the share of renewable technologies in the country's energy sector. Morocco is rich in solar energy resources. Studies on the assessment of the Morocco’s solar energy potential indicate, among other benefits, low additional costs when using solar installations compared to losses associated with the solution of future climate problems and lack of resources. The plan envisages the commissioning of solar power plants in Ouarzazate, Ain Ben Mathar, Boujdour, Tarfaya and Laayoune by 2020. The aim of this research is determination of the characteristics of the distribution of Surface Downwelling Shortwave Radiation in the area of the solar power Boujdour, Tarfaya and Laayoune, located in the Laayoune − Sakia El Hamra region in 2021−2050. The data from regional climate modeling with high spatial resolution of the CORDEX-Africa project are used in this research. The RCM modeling is carried out for the region of Africa, in a rectangular coordinate system with a spatial resolution of ~ 44 km. Then, from the modeling data, values are highlighted for the territory of Laayoune − Sakia El Hamra region. Model calculation is performed taking into account the greenhouse gas concentration trajectory of RCP 4.5 calculated using 11 regional climate models. As a result of the simulation for the period 2021−2050, average monthly values of the Surface Downwelling Shortwave Radiation "RSDS" (W/m2) are derived, on the basis of which the mean values for the period of time are calculated. For more detailed information, average monthly total cloud cover values "TC" (%) for the period under study are calculated. Analysis of the change in RSDS in 2021–2050 relative to the recent climatic period is shown that in the Laayoune − Sakia El Hamra region we can expect an increase or retention of its values. The annual run of the RSDS has one maximum in June and one minimum in December. In the future, the distribution of RSDS in the Laayoune − Sakia El Hamra region will have a significant impact on proximity to the Atlantic Ocean, where an increased amount of total cloud cover significantly reduces the amount of incoming radiation. In the location of solar power plants in the near future, the current RSDS values are expected to be maintained, which creates favorable conditions for the further development of the renewable energy industry in this area and increasing its productivity.
Structural Relationships of Factors Which Impact on Learner Achievement in Online Learning Environment

The purpose of this study is to identify relationships of learners’ achievement goal orientation, self-regulation, test-anxiety, self-efficacy, participation, satisfaction, and achievement in online learning environments in Korea. A total of 1,832 student responses from a Korean cyber university were used to find structural relationships of factors. Causal relationships among various variables are provided as results of this study. Achievement goal orientation –approach, self-regulated learning, test-anxiety, and self-efficacy, were positively related to participation; however, achievement goal orientation-avoidance was negatively related to participation. Test-anxiety was directly related to learning achievement and it was found that participation affected learning satisfaction and learning achievement. It was also revealed that learning satisfaction was related to learning achievement. Results of this study suggest that a comprehensive management of learners’ psychological variables, such as achievement goal orientation, self-regulation, test-anxiety, self-efficacy for designing, and managing online learning environments is important to online learning organizations, instructors, and administrators for better learner support.
Image tampering detection using genetic algorithm

As digital images become an indispensable source of information, the authentication of digital images has become crucial. Various techniques of forgery have come into existence, intrusive, and non-intrusive. Image forgery detection hence is becoming more challenging by the day, due to the unwavering advances in image processing. Therefore, image forensics is at the forefront of security applications aiming at restoring trust and acceptance in digital media by exposing counterfeiting methods. The proposed work compares between various feature selection algorithms for the detection of image forgery in tampered images. Several features are extracted from normal and spliced images using spatial grey level dependence method and many more. Support vector machine and Twin SVM has been used for classification. A very difficult problem in classification techniques is to pick features to distinguish between classes. Furthermore, The feature optimization problem is addressed using a genetic algorithm (GA) as a search method. At last, classical sequential methods and floating search algorithm are compared against the genetic approach in terms of the best recognition rate achieved and the optimal number of features.
Crowd Counting in Images via DSMCNN

Counting the crowd from a single image accurately is always a challenging task. In this work, we propose a Dilated Stacked Multi-column Convolutional Neural Network architecture for crowd density estimation in still single images. The model is composed of three columns of convolutional layers with sharing layers. We use smaller kernel and the dilated layer. We stack multifarious pooling layers and optimize the loss function. The DSMCNN model is an end-to-end and easy-trained system. Meanwhile, it shows robust for images with different perspective or crowd density. We demonstrate experiments on the ShanghaiTech dataset and the mall dataset.
Review on Image Retrival through Natural Language Query

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.