Reviewerly/exHarmony huggingface dataset:
Subjective Elicitation of Dirichlet Hyperparameters Using Past Data: A Study of Ovarian Cancer Patients

Elicitation of prior plays a very important role in Bayesian paradigm especially when dealing with rare disease problems in medical field. The reason being that we do not get enough data to draw valid inferences always. Since the subject of study is human population, one cannot do experiments with their health. The prior distribution supports the final results by some additional information gained from the experts. In any case if an appropriate expert is not available, we can use past data to get information about the prior and its hyperparameters. The present paper provides a technique of elicitation of prior hyperparameters based on a well known multinomial-Dirichlet model. Since the main focus is on medical data problems, the inferences on odds ratios and interaction parameters are also provided. Numerical illustration is based on a real dataset from Israel on patients having ovarian cancer. Although the details have been given in the context of ovarian cancer patients, the development in the paper is equally well applicable for any such disease.
A semantic approach for situation-aware ubiquitous learner support

This paper thoroughly introduces a semantic web approach for supporting decision making in ubiquitous learning environment. Probabilistic ontology will be proposed to reduce inaccuracy, randomness, and incompleteness and will support automated reasoning to support the learner choice of the learning intention, strategy, media and resource according to the predicted learning situation. The multi-entity Bayesian networks (MEBNs) was used for modelling the knowledge and analysing the content in context-aware ubiquitous learning. In fact, MEBNs offer a rigorous framework for knowledge representing and reasoning with probabilistic inference. Finally, a case study has been presented confirming the effectiveness of the proposed model.
ANIMASI INTERAKTIF PADA MATA PELAJARAN AGAMA ISLAM

Learning in the form of animation is one form of utilization of TIK Multimedia that needs to be developed in the world of education. Especially Islamic religious lessons where learners are always saturated and feel bored when the teacher is giving a subject matter. As an alternative problem solving is to provide a new innovation that is Interactive Animation. Interactive Animation is an integrated learning system that will be applied and is one form of improvement in towards a modern and quality education. The reason for the implementation of Interactive Animation method is hope to provide an effective, innovative, creative, and fun learning system. In this learning application Presenting the material interactively accompanied by Text, Image, Animation, video, and religious song. The process of making the application is done starting from the stage of determining the target, the selection of material topics, design, data collection, manufacture and testing. Objectives applied Interactive animation is to eliminate the atmosphere of saturation and passive in the learning process and the interactive approach of both students and teachers With this practical learning hope to help improve the quality of teaching-learning process in the form of Interactive Animation in every school. So this method of application can be made in order to improve quality, and quality in education. And as a reference material in order to be made an evaluation material that can be developed for the better.
Relationship of Social Skills and Interaction Quality in a Class

Social skills determine the success of an individual’s functioning in different social contexts. People with developed social skills in a simple way establish interaction with others and assimilate themselves in a group. Such people also contribute to positive social-emotional atmosphere in the group that is good for achievement of cooperation. Cooperative relationships in school boost motivation in students and lead towards a group productivity and quality interpersonal relationships. This work presents the research results whose aim was to examine relationship between development of students’ social skills and quality of interaction that is achieved in a class. The research was conducted in six primary schools, in Tuzla. There were 506, fifth to eighth grade students in total, out of which 281 were boys and 225 were girls. To measure social skills, Social Skills Inventory (Riggio and Throckmorton 1986). The quality of interaction in classes was recorded with Bales interaction scheme for observing small groups which implied the method of observation. The interaction was observed in at least two lessons in each of 24 classes included in the research. The approach of Canonical Analysis of Covariance was used in the statistical data processing, and the indicators point out that there is connection between students’ nonverbal social skills and the quality of interaction in class, whereas there is no connection between students’ verbal social skills and the quality of interaction that they achieve in their class.
Secure and Lightweight Remote Medical System

The remote medical system helping the doctor in one city to diagnose the patient in another city improves the health-care quality greatly, and reduces the medical cost significantly. However, the security issue must be paid enough attention, for example, the unregistered devices may be illegally connected to the system, and the unauthorized doctor may access the system, therefore, the authentication is necessary to address these security problems. In this paper, a practical remote medical system is presented using multi-factor authentication and group key distribution technique. Compared with the previous literatures, the system burden is greatly reduced. Specifically, when a doctor needs to invoke the remote medical devices, he firstly calls the server. After the doctor is authenticated by the server, the server constructs a communication group including itself, the doctor, and the invoked devices using Shamir’s secret sharing, which is proved to be more secure and efficient for the practical environment. Moreover, the proposed scheme can resist the impersonation attacks, the password guessing attacks, the eavesdropping attacks, etc.
ADIWIYATA; MODEL OF BUILDING SCIENCE LITERACY OF BASIC SCHOOL STUDENTS IN 21ST CENTURY

The rapid development and progress of the times became one of the important phenomena of the birth of 21 st Century education. This gave a signal that it is time for young people to be equipped with various soft skills to make them as a generation that has an open insight in developing the times. One of the current efforts that can be done in equipping the younger generation, especially in elementary school students, is to utilize the Adiwiyata’s program (School of Environmental Care) as a step to building scientific literacy values that will provide them with an understanding related to content, context, attitude, and the process of how to apply science in everyday life. One of the supporting components of the Adiwiyata’s school that can be used as a step to cultivate literate openness to science is the existence of green houses, living pharmacies, and slogans in the form of scientific images attached along the walls of the school. These components indirectly give effect in the form of knowledge and scientific concepts that can later be applied in everyday life. The scientific literacy aspect resulted from the existence of several adiwiyata components in the form of openness of students' insight into the use of bethadine leaves as first aid for their fallen and bleeding friends. The application implicitly has penetrated the aspects of content literacy, concepts, attitudes, and scientific processes. It can be concluded that the Adiwiyata school is a school with the Environmental Care Program as one of the gateways to instill scientific literacy values in elementary school students .
Discussion of Integrating Hands-on Cybersecurity Exercises into the Curriculum in 2019

The critical shortage of cyber security professionals remains an unsolved problem. We need to greatly expand the community in order to meet the increasing demand. The number of security-focused competitions and exercises has increased in recent years. As faculty we need to choose those that we can best integrate into our courses. As a community, we can think about how to create a more unified environment to contribute to each other's projects. We would like to bring together new and experienced faculty to build community and engage in this work. We have set up a dedicated Facebook to allow us to work together outside of SIGCSE events. During the BoF, we will encourage participants to sign up for the closed group, and we will ask the questions, 'What do you want from this learning community? What exercises have you heard about or tried? One benefit of having a learning community is that it will be easier to provide support for new members to learn about resources and get help. These resources include exercises, webinars, and slides. We will share experiences, practices and ongoing efforts (NSA's National Cybersecurity Curriculum Program), including our own (e.g. Security Injections, Security Knitting Kit, EDURange and UWGB GenCyber). The BoF also benefits experienced members, helping them to disseminate their work and reach other faculty with similar interests. We will discuss what works and what problems students and instructors have encountered. We will discuss ways to integrate security-related exercises into existing courses.
Computational Thinking in the Making

Recently, there has been significant interest in integrating Maker-related experiences into formal education. A challenge is reconciling open-ended making and non-deterministic learning goals with standards that drive traditional education. In the context of our CS-focused STEM magnet school, we designed two 2nd grade lessons that not only align with grade-level standards and our school's computer science-oriented pedagogy, but also incorporate 3D printing and the philosophy of Makerspaces. The integrated Maker experience serves to scaffold computational thinking practices such as abstraction, modeling, and decomposition, which are essential for long-term success in STEM learning. To bring these aspects together, we created a rubric based on existing evaluation tools. Using this rubric, we evaluated the two lessons with a small sample of participants. Our pilot study shows promise of mastery in standard-related content, evidence of a making mindset, engagement in the activity, innovation in design, and solidarity in working with peers. Aligning state standards with open-ended Maker activities has potential for fostering student growth and engagement in the classroom. An additional component of our research was reflecting on our experience as teachers with no Makerspace experience who were newly submerged in the digital fabrication world. We present the two 3D printing-based lessons, one addressing extreme weather standards, the other incorporating understanding of urban, suburban, and rural communities. We also present the rubric we designed, the literature that guided this work, and reflections and recommendations from our experience of learning digital fabrication for the first time and integrating it into curriculum.
EXPLORAÇÃO E BUSCA VISUAL ROBÓTICA EM AMBIENTE SIMULADO

In this work, a robotic agent named Angela has been devised and simulated. The virtual robot has two degrees of freedom and is capable of performing search and visual exploration in a virtual environment. Its modular architecture allows for straightforward substitution and improvements of its modules, aiming for better overall performance. During exploration, the visual attention module detects salient objects and triggers online learning; when in search mode, candidate objects are searched for by the object proposal generation module. The classification module, which determines whether the visualized object corresponds to the target, is comprised of oiSGNG (Online Incremental Supervised Growing Neural Gas), an original classification algorithm devised and implemented during this work. oiSGNG has been featured in IJCNN 2017 (International Joint Conference on Neural Networks). The image segmentation module is another contribution of this work: StochGrow, which is based on region growing and provides a solid solution for the tradeoff between speed and quality of real time image segmentation. The complete system can be tweaked to address several real world robotic problems.
OVERVIEW OF MALARIA PARASITE AND ITS PREVENTION IN INDIA

Background: Malaria is a systematic disease caused by a parasite called Plasmodium which is transmitted into the human blood via female Anopheles mosquito. Malaria in humans is caused by four species of protozoan parasites of the genus Plasmodium: P. falciparum, P. vivax, P. ovale, and P. malariae. The parasite enters the human body through a mosquito bite and travel to the very crucial organ, the liver, where they multiply and come back to the bloodstream and destroy red blood cells. Malaria causes symptoms that typically include fever, tiredness, vomiting, and headaches. In severe cases it can cause yellow skin, seizures, coma, or death. Symptoms usually begin ten to fifteen days after being bitten by an infected mosquito. In those who have recently survived an infection, reinfection usually causes milder symptoms.&#x0D; Objectives: Isolation of different species of malaria parasites. The prevalence of malaria parasite in India.&#x0D; Methods: The procedure follows these steps: collection of peripheral blood, staining of smear with Leishman’s stain and examination of red blood cells for malaria parasites under the microscope.&#x0D; Results: We observed the plasmodium species in peripheral blood smear.&#x0D; Conclusion: Worldwide, the number of cases of malaria caused by Plasmodium falciparum, the most dangerous species of the parasite, is on the rise.
Incorporating noun compounds in distributional-based semantic representation approaches for measuring semantic relatedness

Identifying noun compounds in natural language documents is very important for handling their various linguistic features, such as semantic, syntactic, and pragmatic features. In this study, we introduce a knowledge-based method for incorporating noun compounds in distributional-based semantic representation approaches. Wikipedia is exploited as a knowledge resource for extracting noun compounds based on its structural features. The categories are then used to classify the extracted noun compounds as linguistic terms and named entities. Next, the look-up list technique is employed to identify the noun compounds when extracting the semantics of the terms using the corpus-based approach for semantic representation. To obtain the semantic representation, we use five well-known distributional-based approaches: latent semantic analysis (LSA), hyperspace analogue to language (HAL), correlated occurrence analogue to lexical semantic (COALS), bound encoding of the aggregate language environment (BEAGLE), and explicit semantic analysis (ESA). The proposed method was evaluated by measuring the semantic relatedness using five benchmark datasets employed in previous studies. The experimental results demonstrate that incorporating noun compounds in the distributional-based semantic representation helps to improve the semantic evidence for the relationships among words.
Factors affecting the stability of faculty members at Jordanian public universities

Experts believe that retaining staff is the main objective of any organisation and it is considered the most important factor in the success of any organisation. As a result of the increase in faculty members' turnover at public universities, this study aimed to investigate the factors that effecting on the stay of faculty members at Jordanian public universities. The data was collected through a questionnaire. The questionnaire was distributed among faculty members at three public universities in Jordan. These universities were selected randomly. A descriptive analysis was used to analyse the study data. The study examined the effecting job embeddedness, job satisfaction, job commitment, and administrative support on maintaining stability among faculty members at their universities. These factors were chosen from the literature review. The study found that all these factors exert an effect on the intent of faculty members to stay at Jordanian public universities.
Transnational Corporations and Their Role in the Economic Development

This paper analyses the role of transnational corporations in a country's economy within the global economy. Over the last two decades of the twentieth century, in the world economy, there has been a rapid increase in the number of corporations. The increasing number of corporations has come as a result of large investments and adequate business plans in line with market requirements. The bigger the company is, the bigger the field for action. This has in some way even determined the merging of various companies, which then have extended their influence on the world's major markets. Corporate empowerment has raised many other issues related to their economic activity such as: the issue of workers’ rights, the elimination of double taxation, the issue of monopolies by these corporations, the insurance of the capital of these corporations, up to eventual bankruptcy. Thus, all these issues raise dilemmas regarding the role and impact of corporations on the development trends of a country.The aim of this paper is to identify the impact of transnational corporations on the development of a country's economy. For the elaboration of the paper several scientific methods have been used, including the literature review and the analytical method for analysing data from the field.
UPAYA MENINGKATKAN KEMAMPUAN MEMBILANG MELALUI BERMAIN LOTTO ANGKA PADA ANAK KELOMPOK B TK DHARMA WANITA ROWO

Ability to say children is the ability of children to count by calling one by one to determine the number or number of objects. Lotto is an educational game used in learning activities in children. The use of lottery media numbers is a form of recognizing numbers in early childhood. The rationale for the emergence of this problem is still the low ability to say children of the Rowo B TK Dharma Wanita Group. The purpose of this study is 1) to find out how to play lotto numbers that can improve the ability to say, children, 2) to understand the ability to remember the ability to count children through playing lotto numbers in children B TK Dharma Wanita Rowo Kandangan Group Semester II 2017/2018 Academic Year. The subjects of this study were students of the Group B TK Dharma Wanita Rowo donated by 25 children. The research was conducted in February 2018. Data collection methods used were observation, documentation, and interviews. Based on the results of the research and discussion, it can be concluded that through the lotto numbers game can improve the ability to count children in the TK B Group of Dharma Wanita Rowo Kandangan Temanggung Semester II 2017/2018 Academic Year. This is evidenced by the increase. The increase only reached 20%, then after the increase in Cycle I it increased to 52%, and Cycle II to 84%, has reached 80%. This success is marked by the child being able to lift by pointing objects, connecting / pairing symbols with objects and writing numbers.. Key words: Ability To Say, Lotto Numbers
Reversible Data Hiding in Homomorphic Encrypted Domain by Monitoring Ciphertext Group

Since few years, a new problem is trying to combine in a single step, compression, encryption and data hiding. So far, few solutions have been proposed to combine image encryption and compression for example. Nowadays, a new challenge consists to embed data in encrypted images. Since the entropy of encrypted image is maximal, the embedding step, considered like noise, is not possible by using standard data hiding algorithms. A new idea is to apply reversible data hiding algorithms on encrypted images by wishing to remove the embedded data before the image decryption. Recent reversible data hiding methods have been proposed with high capacity, but these methods are not applicable on encrypted images. In this paper we propose an analysis of the local standard deviation of the marked encrypted images in order to remove the embedded data during the decryption step. We have applied our method on various images, and we show and analyze the obtained results.
The watershed transform in pathological image analysis: application in rectiulocyte count from supravital stained smears

Background: Morphometric studies based on image analysis are a useful adjunct for quantitative analysis of microscopic images. However, effective separation of overlapping objects if often the bottleneck in image analysis techniques. We employ the watershed transform for counting reticulocytes from images of supravitally stained smears.Methods: The algorithm was developed with the Python programming platform, using the Numpy, Scipy and OpenCV libraries. The initial development and testing of the software were carried out with images from the American Society of Hematology Image Library. Then a pilot study with 30 samples was then taken up. The samples were incubated with supravital stain immediately after collection, and smears prepared. The smears were microphotographed at 100X objective, with no more than 150 RBCs per field. Reticulocyte count was carried out manually as well as by image analysis.Results: 600 out of 663 reticulocytes (90.49%) were correctly identified, with a specificity of 98%. The major difficulty faced was the slight bluish tinge seen in polychromatic RBCs, which were inconsistently detected by the software.Conclusions: The watershed transform can be used successfully to separate overlapping objects usually encountered in pathological smears. The algorithm has the potential to develop into a generalized cell classifier for cytopathology and hematology.
Digital Forensics Report

Creating a report is the final phase of any investigation, where an investigator presents his/her findings during the digital forensics examination to the entity which was impacted by the cyberattack, or to the court if it is a public investigation.