Reviewerly/exHarmony huggingface dataset:
A FORENSIC WAY TO FIND SOLUTION FOR SECURITY CHALLENGES IN CLOUD SERVER THROUGH MAPREDUCE TECHNIQUE

Cloud computing is a large and distributed platform repository of user information. But also it is the extensively serves the security threats in the research aspect. This paper attempt to find the solution to the security challenges through the MapReduce technique in a forensic way. Mainly four security challenges will include in this paper that is losing the user information during the mapping process for different reasons such as the shutdown of the server, can cause parallel or unrelated services to get interrupted, the velocity of attack means that security threats amplify and spread quickly in the cloud, injecting malicious code, and finally information deletion. For these security challenges finding the solution through MapReduce and Dynamic Decomposition based distributed algorithm with the help of Hadoop and JavaBeans in the live forensic method. It includes Cloud Simulation and Document Clustering with forensic analysis. MapReduce is a software framework for effortlessly writing applications that develop from a massive amount of data in-parallel on large clusters of commodity hardware in a consistent, fault-tolerant mode. Also live forensics is the method also known as Live Response attempts to discover, control, and eliminate threats in a live system environment. So here this paper uses Hadoop's cloud simulation techniques that can give a live result.
Image Analysis Using Machine Learning for Automated Detection of Hemoglobin H Inclusions in Blood Smears - A Method for Morphologic Detection of Rare Cells.

Background: Morphologic rare cell detection is a laborious, operator-dependent process which has the potential to be improved by the use of image analysis using artificial intelligence. Detection of rare hemoglobin H (HbH) inclusions in red cells in the peripheral blood is a common screening method for alpha-thalassemia. This study aims to develop a convolutional neural network-based algorithm for the detection of HbH inclusions. Methods: Digital images of HbH-positive and HbH-negative blood smears were used to train and test the software. The software performance was tested on images obtained at various magnifications and on different scanning platforms. Another model was developed for total red cell counting and was used to confirm HbH cell frequency in alpha-thalassemia trait. The threshold minimum red cells to image for analysis was determined by Poisson modeling and validated on image sets. Results: The sensitivity and specificity of the software for HbH+ cells on images obtained at ×100, ×60, and ×40 objectives were close to 91% and 99%, respectively. When an AI-aided diagnostic model was tested on a pilot of 40 whole slide images (WSIs), good inter-rater reliability and high sensitivity and specificity of slide-level classification were obtained. Using the lowest frequency of HbH+ cells (1 in 100,000) observed in our study, we estimated that a minimum of 2.4 × 106 red cells would need to be analyzed to reduce misclassification at the slide level. The minimum required smear size was validated on 78 image sets which confirmed its validity. Conclusions: WSI image analysis can be utilized effectively for morphologic rare cell detection. The software can be further developed on WISs and evaluated in future clinical validation studies comparing AI-aided diagnosis with the routine diagnostic method.
Does Users’ System Evaluation Influence Speech Behavior in HCI? – First Insights from the Engineering and Psychological Perspective

In interactions with speech based dialog systems users tend to adapt theirspeech behavior to their technical counterpart by taking care on the abilities andcharacteristics they ascribe to the system. Hence, it can be supposed, that differentsystems may evoke different speech behavior according to the users’ evaluationof the system. In order to support this hypothesis we compared a widely similarindividualization-focused interaction between users and 1) a WOZ-simulatedspeech-dialog system (LAST MINUTE Corpus) and 2) a self-developed skill forAmazon’s Alexa. We examined measurable acoustic characteristics and subjectivesystem evaluations operationalized by the item-based self-report questionnaire AttrakDiff.The analysis revealed that users’ speech behavior showed less acousticvariation in the interaction with Amazon’s Alexa. However, system evaluation didnot differ significantly between the two experiments. In the discussion of this findingwe, inter alia, take into account results from a first unsystematic analysis ofinterviews regarding users’ subjective experiences conducted after the interactionwith Amazon’s Alexa.
On computable learning of continuous features

We introduce definitions of computable PAC learning for binary classification over computable metric spaces. We provide sufficient conditions for learners that are empirical risk minimizers (ERM) to be computable, and bound the strong Weihrauch degree of an ERM learner under more general conditions. We also give a presentation of a hypothesis class that does not admit any proper computable PAC learner with computable sample function, despite the underlying class being PAC learnable.
The role of art and art education in spreading environmental awareness in the school environment: التربية الفنية ودورُها في تحفيز الإبداع والتوعية بالبيئة وبمخاطر "كورونا" في الوسط المدرسي

Art is an expression and a cultural, educational and social message, the language of civilization, the most important form of it, and through it we understand societies and study their development, it is a civilized production and a cultural expression that has conditions and laws that distinguish it from other production or regular expression. Art is an unusual expression that is an eye-catching expression or production that is sensational. Art must reflect taste, science and mission in order to be an art aimed at all senses, emotions, minds and human perceptions throughout the ages and across different cultures.Art education is one of the positive entry points for providing students with positive values ​​and attitudes towards protecting and improving the environmentIn order to prepare a generation that is aware of its problems and the importance of interaction between it and its environment, where environmental education and art education are involved in containing basic concepts that can be put into practice in teaching, art education is one of the areas that can achieve the goals of environmental education and clarify its concepts effectively.Through this article, we tried to highlight the importance of art and art education in spreading environmental awareness, especially in light of the spread of the epidemic of the Corona Virus Covid-19, and what art education can offer to spread environmental awareness through the practice of learners of this subject in various phases in the school environment.
Communicating and Interacting with College Students Through a Website Chatbox

Each faculty member at King Saud University has a website where he/she posts course descriptions, tests, publications, resources and others. Some instructors have added a Chatbox (Cbox) widget to their website (or blog) to be able to instantly communicate with their students. A Cbox is an advanced web messaging/commenting/tagging widget and a unique chat and messaging application that brings the best features of traditional chat and tagging systems to the social web. The present study aims to find out the percentage of language instructors who have added a Cbox to their websites, types of issues and concerns that students communicate to their instructors and students and instructors’ views on the advantages and disadvantages of using a Cbox as a communication tool. Data were collected using interviews and a content analysis of the students and instructors’ posts. It was found that only 14% of the instructors at the College of Languages and Translation use a Cbox. Between 3 and 600 messages were posted. Participants reported that a Cbox is a quick and easy way of communication. Students post questions about the course content, difficulties, administrative issues, rules and regulations, registration and drop-add issues, grades, exams, personal and social issues and college events. Instructors provide advice, reassurance, clarify difficulties and respond to queries in a maximum of 4 hours. They post messages and responses at their own convenience. However, Cboxes have no terms and conditions of use, cannot be monitored, are open to the public, i.e., anybody can post a message, are not user-friendly, and whatever is posted is disclosed to the public.
Chasing the Complexity of Threads from the Translation Process that Hide in Translation Data

Current translation process research can be challenged for involving essentially reductionist approaches. At the same time, the surprising outputs of machine translation systems based on neural networks enjoy an aura of success, to the point that they are said to have redefined the present and the future of the translation profession. Regardless of discussions on the (im)possibility of translation, a process that happens between two complex systems (natural languages) carries necessarily some level of complexity. The success of neural networks in dealing with this complexity is probably associated with the way they learn from bilingual data. Can we expect neural approaches to machine translation to bring us the best models for the complexity of the translation process, and can they be the tools we need in computer support systems to predict the next step in a translation process? Beside the approaches used by translation process research to extract knowledge on the translation process, from the observable layers of translation product and process data, this chapter focuses on how neural networks deal with this data.
미용전공 대학생이 지각한 직업기초능력이 진로결정자기 효능감과 전공 지속의사에 미치는 영향

This study examined differences in basic occupational competence, career decision making self-efficacy and major continuity intention according to specific majors between college students majoring in beauty art, and the effects career decision making self-efficacy had on major continuity intention. The results are presented as follows: First. as results of analysing the differences in, basic occupational competence, career decision making self-efficacy and major continuity intention according to specific majors, there were statistically significant differences in sub-variables including communication ability, personal relationship ability, problem solving ability, technological capability, major satisfaction, career decision making self-efficacy. Second, as a result of examining the effects basic occupational competence had on Career Decision Making Self-Efficacy, it was discovered that technological capability and personal relationship ability had a significant effect on career decision making self-efficacy. Third, as a result of examining the effects basic occupational competence had on major continuity intention, it was discovered that personal relationship ability had a significant effect on major continuity intention. Fourth, as a result of examining the effects career decision making self-efficacy had on major continuity intention, it was discovered that the former had a significant effect on the latter.
STGT: Forecasting Pedestrian Motion Using Spatio-Temporal Graph Transformer.

Full understanding human motion is essential for autonomous agents such as self-driving vehicles and social robots for navigating in dense crowded environments. In this paper, we present a trajectory prediction framework which models inter-pedestrian behaviour through graph representations and then apply attention through a Transformer network to better forecast human motion. Previous works have incorporated pedestrian interaction using social and graph pooling mechanisms whereas our work utilizes complete graph structure of pedestrians which helps to obtain robust spatiotemporal representations. We also leverage semantic segmentation architecture to encode scene context. Our experiments highlight the potential of handing pedestrian interaction with graph convolutional networks and Transformer and, on top of that, shows marginal improvement with inclusion of semantic scene features.
브레이크 댄스 탄생배경에 나타난 긍정 심리학

The study is to illuminate what background B-boys created break dance in at the beginning from the view of positive psychology to find out the elements of the psychology inherent in it. They seem to have experienced ‘flow’ while dancing, which led them into a state of ‘trance’, ‘euphoria’ and ‘ecstasy’ and authentic satisfaction of life. Especially, a highly elated flow brought ‘intense mental pleasure’ of positive psychology, which seems to have been the key dynamics to them to get over poor surroundings and move forward to a positive life. What helped them get over negative emotion and violence from poor surroundings might be found in ‘break dance’ which is ‘signature strength’ of positive psychology. Break dance seems to have helped them raise their self-confidence up, show their creativity and strengthen ‘positive emotion’ such as hope, joy, presence and self-realization, which made them communicate with other people, raise sociality and look for ‘a meaningful life’ for individuals and groups. In the initial break dance, ‘flow’, ‘signature strength’ and ‘positive emotion’ might be found as the representative elements of positive psychology and the elements inherent in its birth background could be illuminated.
Analisis Sikap Orangtua dan Guru Terhadap Sistem Pembelajaran Daring Di Era Covid-19 Untuk Siswa Berkebutuhan Khusus Di SLBN 1 Makassar (Perspektif Pedagogis, Psikologis, dan Sosiologis)

Abs trak. The  problem  of  this  research  is  at  covid-19  era  of  online  instruction  system  for  special  need  students  is  monoton  this  bacause  students   is  not  learning  interest and  motivation.  The goal  of  this  research  is  analyzed  teacher  and  parents  to  online  instruction  system  in  Covid-19  Era  for  special  need  students  in  sociologis,  psychologis,  and  paedagogis  perspective.  Method  of  this  research  is  attitude  of  teachers  and  parents  as  single  variable,  design  of  this  research  is  descriptive,  amount  of  sample  ia  10  teacher  and  10  parents  determined  purposive  random  sampling  technique,  location  of  this  research  is  SLBN  1  Makassar,  instrument  and  data  collective  technique  is  questionnaire,  data  analysis  technique  with  percentage  descriptive  analysis.  The  result  and  conclusion  of  this  research  is  100  %  teachers  and  parents  is  positive  attitude  toward  online  instruction  system  in  paedagogis  perspective,  and  100  %  of  teachers  and  parent  is  negative  attitude  toward   online  instruction  system  in  sociologist  and  psychologist  perspective. Kata Kunci : Sikap  Orangtua,  Guru,  Daring,  Paedagogis,  Psikologis,  Sosiologis
Responsabilità di Facebook per chiusura immotivata dell'account con distruzione dei dati ivi presenti. Sul rapporto giuridico utente/piattaforma: tra protezione e commercializzazione dei dati personali (Liability of Facebook for Unjustified Closure of the Account with Destruction of the Data Present Therein. on the Legal Relationship User/platform: Between Protection and Commercialization of Personal Data)

Italian abstract: diritto del consumatore - privacy - data protection - consenso al trattamento dei dati - illiceita del trattamento - cancellazione dei dati - rapporto giuridico tra utente e piattaforma - account Facebook - recesso - risoluzione - risarcimento del danno non patrimoniale - responsabilita contrattualeEnglish abstract: In this essay I examine the judgment of the Court of Bologna, March 10, 2021, which condemns Facebook to pay damages to the user whose account was unreasonably closed with the distruction of his data therein. The essay then recalls the model of business of social networks and the problems of data protection that generates: in particular that the provision of space is not free but subject to a non-monetary fee, consisting of consent to the processing of data for profiling. Finally, it mentions the complex theme (of the limits) of the contractual commercialization of personal data.
Image and Audio Visualization

In the previous chapter, you learned how to create visualizations with histograms, contours, and stream plots.
PELATIHAN METODE PEMBELAJARAN ONLINE DI KABUPATEN SIDRAP

The existence of this pandemic makes students learn from home so that teachers need to create quality learning activities from home and do not cause boredom for students, for that teachers are expected to be able to apply online learning, of course, they must combine several learning methods. Messages or information that will be conveyed by the teacher through online learning requires methods with media and tools that are able to streamline the achievement of the learning objectives that have been set. The problems faced by partners in community service activities include the lack of knowledge and skills of teachers, especially in the Sidrap Regency Unit regarding online-based learning methods and media so that teachers still present material conventionally, which implies that learning objectives are difficult to achieve. The purpose of this training activity is to improve the knowledge and skills of teachers, especially in the Sidrap Regency Unit regarding online-based learning methods and media, through the use of zoom and mentimeter applications as well as to improve the ability of teachers to innovate using information technology and adapt to various learning methods to increase interactive between students with teachers in learning activities. The stages of this activity begin with administrative arrangements, registration of participants, implementation of training, training simulations and ends with follow-up. This training was carried out for 2 (two) days with fairly solid material, but the participants of the teachers in the Sidrap Regency education unit who had been assigned by the Sidrap Regency Education and Culture Office looked very enthusiastic in following all the material presented from opening to closing. The implementation of the training resulted in the expected outcomes, namely increasing knowledge about the use of the zoom application and they were even enthusiastic about learning about other applications that could be used for learning. The expected outcomes of this community service activity are focused on increasing the ability of teachers to use various online learning media methods, especially the use of zoom and mentimeter applications to support the learning process.Keywords: online learning, zoom, mentimeter, covid-19
Using watermark visibility measurements to select an optimized pair of spot colors for use in a binary watermark

Spot colors are widely used in the food packaging industry. We wish to add a watermark signal within a spot color that is readable by a Point Of Sale (POS) barcode scanner which typically has red illumination. Some spot colors such as blue, black and green reflect very little red light and are difficult to modulate with a watermark at low visibility to a human observer. The visibility measurements that have been made with the Digimarc watermark enables the selection of a complementary color to the base color which can be detected by a POS barcode scanner but is imperceptible at normal viewing distance.
Secrets of the south : A location-based game for the development of 21 st century social skills and promotion of social interaction

Location-based games (LBGs) successfully promote playful experiences engaging millions of players throughout the world. The potential of embedding such location-based experiences in educational practice has been recognised but not yet fully embraced. LBGs and educational location-based applications have been used to enhance critical thinking, but not for the acquisition and development of 21st century skills: key competences required to understand, live and thrive in the local communities of today. This paper introduces the LBG 'Secrets of the South', designed to orchestrate social interaction in public space, and foster communication, collaboration, IT literacy, and social/cultural skills through 1) interaction-based social encounters with both friends and unknown members of the community, and 2) in-situ learning about the history and social context of the neighbourhood. A 4-step general procedure is proposed for the creation of LBGs designed to foster 21st century skills.
ОЦІНКА СТАЛОГО РОЗВИТКУ: ЕКОНОМІЧНА КРИТИКА

Until recent years, developing countries believed that they could fulfil the need to be developed by realizing the goal of rapid and stable growth. In addition, in the theories of economics, it offered gradients that the problems such as unemployment, inequality in income distribution, poverty, and environmental destruction would be solved as long as they achieved the goal of economic growth. However, economic growth, unlike expectations, increased inequality in income distribution, poverty of the masses, the destruction of the natural environment and natural resources to eliminate the possibility of long-term growth and the destruction of social peace, such as the alternative costs to bring out, has led to a new understanding of growth and development. This understanding has created the concept of sustainable development, which takes care of the needs of future generations in an effort to meet the economic and social needs of the present population, and which considers the needs of future generations to consume natural and cultural resources. In this paper, it will be analysis sustainable development assessments from economics perspective by using impact analysis briefly on environmental, economic and social effects on sustainable development.
Educar en la disonancia simbólica. Voces indígenas interculturales durante la pandemia

This work presents the results of the first approach of an investigation carried out with different educational agents of a rural school, located in a Wixarika community in the state of Jalisco, Mexico. It recovers their educational experiences of social and compulsory isolation during the pandemic. The narrative was used to understand a reality constructed through the story.
Investigating Binary Neural Networks for Traffic Sign Detection and Recognition.

Traffic sign detection is crucial for enabling autonomous vehicles to navigate in real-world streets, which must be carried out with high accuracy and in real-time. CNNs have become one of the standard approaches for traffic sign detection research in recent years. The use of CNNs has allowed the development of traffic sign detectors that are capable of achieving prediction accuracies similar to those of human drivers. However, most CNNs do not run in real-time due to the high number of computational operations involved during the inference phase. This hinders the deployment of CNNs in autonomous vehicles despite their high prediction accuracy. In this paper, we explore BNNs to tackle this problem. BNNs binarize the full-precision weights and activations of a CNN, drastically reducing the complexity of the computational operations required for inference, while at the same time maintaining the architectural parameters, as well as spatial dimensions of the input image. This reduces the memory required to run the model and enables faster inference time. We carry out in-depth studies on applying BNNs for traffic sign detection using real-world datasets. We observe an improvement of 11.63 × for normalized compute complexity, while suffering only 3.93 pp in detection accuracy on GTSDB dataset.