Reviewerly/exHarmony huggingface dataset:
Impact of New Media Technologies on Life Style of Youth

This study is conducted to investigate the influential role of modern media technologies on the youth of Bahauddin Zakariya University Multan. Quantitative approach was adopted in this research however the sampling size of respondents were 500 in which 250 were females and 250 were males. To determine the impact of New Media Technologies on the life styles of youth is the main task of this research. The results indicated that the youth of Bahauddin Zakariya University was impacted by the New Media Technologies but the results shown were positively impacted. The majority of the youth stated the impact of New Media Technologies influenced the youth to set out positive results. However the results also stated that in the gender comparison the male gender tends to prefer New Media Technologies.
A Mobile Game : Sarawak Heritage

The cultural heritage of Sarawak appears to still have a limited level of awareness among men, as well as Malaysians themselves, particularly those in western Malaysia. Only several people recognize Sarawak's uniqueness and also what makes it different from other countries around the globe. There are more than 27 diverse ethnic groups in Sarawak, totaling over 2.6 million people. The project aims to develop a mobile game featuring Sarawak's cultural heritage, which includes traditional clothes, cuisine, plants and animals, musical equipment, and weapons. It is assumed that this game would contribute to expanding recognition and attention to how astounding Sarawak and its heritage are. The smartphone game is being used in an educational way and seeks to encourage learning through fun, visualization, classical music, and knowledge provided by this platform. This alone would make learning more effective and convenient. On the other hand, this analysis will be carried out utilizing the quantitative approach, in which surveys and questionnaires would be circulated both on paper and online. In the conclusion, this project has become a great success and has fulfilled the goals and objectives set since the initiation of the project.
LibGuides: Job Seekers: Look for a Job

Looking for a job? Check here to see what resources the Ossining Public Library has available for you. Looking for a job? Here are some resources that may help you search.
The origin of blood cells and myeloid cells

In human hematopoiesis, cells of various lineages exist, such as neutrophils, lymphocytes, and erythrocytes. Unveiling the pathway from stem cells to the various lineages helps us understand the blood disorders and develop therapies for them. We have studied the developmental pathway of hematopoiesis for decades and found that myeloid potential is retained just before the differentiation into each lineage of the various lineage progenitors. This uniqueness of myeloid cells might reflect the character of mixed-phenotype leukemia and provide a very important clue in determining the evolutional history of blood cells. Recent studies concerning the differentiation pathways of megakaryocytes and granulocytes as well as the findings on the hemocytes of invertebrates have strongly supported the concept of the uniqueness of myeloid cells and enabled us to propose insights into the evolutional history of blood. In this paper, we discuss the origin of blood cells in the context of developmental pathways during ontogeny and phylogeny.
SafeTAP: An Efficient Incremental Analyzer for Trigger-Action Programs

Home automation rules that allow users to connect smart home devices using trigger-action programs (TAP) can interact in subtle and unexpected ways. Determining whether these rules are free of undesirable behavior is challenging; so researchers have developed tools to analyze rules and assist users. However, it is unclear whether users need such tools, and what help they need from such tools. To answer this question, we performed a user study where half of the participants were given our custom analysis tool SafeTAP and the other half were not. We found that users are not good at finding issues in their TAP rules, despite perceiving such tasks as easy.The user study also indicates that users would like to check their rules every time they make rule changes. Therefore, we designed a novel incremental symbolic model checking (SMC) algorithm, which extends the basic SMC algorithm of SafeTAP. SafeTAPΔ only performs analysis caused by the addition or removal of rules and reports only new violations that have not already been reported to the user. We evaluate the performance of SafeTAPΔ and show that incremental checking on average improves the performance by 6X when adding new rules.
PENGARUH MODEL PEMBELAJARAN DISCOVERY LEARNING TERHADAP HASIL BELAJAR EKONOMI PADA PESERTA DIDIK KELAS XI

Problems in this study are 1) economic learning outcomes of students who are still low, 2) the number of students who are unfocused, sleepy and saturated in studying learning material and 3) lack of enthusiasm of students in participating in learning on economic subjects. The purpose of this study is to determine the effect of the application of discovery learning learning models on economic learning outcomes in class XI students of SMA Negeri 1 Meneng Tulang Bawang Building in the academic year 2018/2019. In the application of this research using the true experimental method design in the form of posttest-only control design. The population in this study were students of class XI.IPS Meneng 1 Public High School which amounted to 54 students, the sample consisted of class XI.IPS 1 as an experimental class which amounted to 27 students and XI.IPS 2 as a control class totaling 27 students. Hypothesis testing uses the ttest statistical formula. From the results of hypothesis testing using the t-test statistical formula obtained t hit = 4.04 and the t distribution table at a significant level of 5% it is known tdaf is t (1-1 / 2 α) = 2.00 so that it is proven t hit> t daf . Thus it can be concluded that there is an effect of the application of discovery learning learning models to economic learning outcomes in class XI students of SMA Negeri 1 Meneng Tulang Bawang Building 2018/2019 academic year.
An Augmentation of Credit Card Fraud Detection using Random Undersampling

The two most prominent necessities which triggered the advent and growth of Digital Transactions are ease of doing payments and security of the transactions. However, even after a lot of research into the field, financial cyber crime is still marred with lots of digital frauds and corruption; credit card fraud is one of them. A plethora of patents and research papers have tried to solve this issue, but the secure transaction is still a distant dream. As per a survey, $24.26 Billion was lost worldwide due to payment card fraud only in 2018. This study aims to augment the performance of credit card fraud detection using an undersampling based data analysis technique. The study used an ensemble method to detect credit card fraud. The data used for simulation was highly imbalanced. Hence, a random undersampling technique was applied to datasets to make it a balanced dataset. The validation of performance augmentation was done based on the predefined performance measure metrics such as accuracy, precision, recall, f-score, geometric-mean, and the area under curve score with the receiver operating curve. The main focus was to check the ensemble method’s performance on imbalanced data and improve it by providing it a balanced data. The study results showed that the augmentation of the detection technique of credit card fraud was improved with a random under-sampling method on a credit card transaction imbalanced dataset. The study performed a comparative analysis of the augmentation of detection technique of credit card fraud models before and after incorporating random under-sampling techniques on credit card fraud imbalanced datasets.
Evaluasi Usability Aplikasi Zoom Meeting menggunakan System Usability Scale

Zoom Meeting has become a top-rated application in the past year. Pandemic forces almost everyone in the world to work from home. Zoom Meeting is one of the meeting applications widely used by the public; it is necessary to carry out a usability test process. SUS is an evaluation method used to see the reusability of a product. The evaluation was carried out on 20 respondents who used Zoom Meeting with a usage intensity of more than 20 hours each week. The results of the SUS evaluation obtained a score of 78.4 with a grade of Good, it means that zoom meeting application has met the Usability element. Still, there are suggestions for improvement, such the addition of features.
PENGARUH PENERAPAN MODEL DISCOVERY LEARNING TERHADAP HASIL BELAJAR PADA SISWA KELAS XI IPS SMA NEGERI 1 SELAYAR

The aim of this study is to the determine the impact of the application of discovery learning models on the economic learning outcomes of class XI IPS at SMA Negeri 1 Selayar. This researches is a descriptive study using quantitative methods. The data was collected through observation, questionnaires and documentation. The population in this study consisted of all class XI IPS students with a sample of 81 students selected from each class by simple random sampling. The results of the study were analyzed using a simple linear regression analysis. Based on the results of the research and data analysis, it was concluded that the application of the discovery learning model has an impaction the economic learning outcomes of class XI IPS at SMA Negeri 1 Selayar.
Digital Learning Characteristics and Principles of Information Resources Knowledge Structuring

Analysis of principles knowledge representation in information systems led to the necessity of improving the structuring knowledge. It is caused by the development of software component and new possibilities of information technologies. The article combines methodological aspects of structuring knowledge and effective usage of information resources which are designed for the scientific and methodological study of practical recommendations in Digital learning implementation. It is shown at the paper that one of the most important problems, which face the processing of knowledge or construction systems, is knowledge representation. The main idea of the paper is increasing the efficiency at the university learning process on the basis of a possible applications and rational structuring knowledge. The proposed concept of using information resources of Digital Learning is based on the idea of using the principles of abstraction, encapsulation, modularity, hierarchy, typing, concurrency preservation and implementation in such stages of this process as algorithmic support of knowledge structuring and structured transfer of knowledge to students. The topic of the article is unique as we try to see Digital learning in multidisciplinary aspects: education, mathematics, and statistics. The article combines a theoretical approach to structuring knowledge that is based on the integrated usage of fuzzy semantic network, theory of predicates, Boolean functions, theory of complexity of network structures and practical aspects and ways of construction Digital Learning Systems at the University
Smart Healthcare Monitoring System

Health monitoring systems are valuable because of the chance of ideal and proficient medical care administrations. These systems depend on cutting edge remote and wearable sensor innovations. The fast development in innovation has surprisingly upgraded the extent of far-off well-being checking frameworks. In this paper, a constant health observing system is created thinking about the expense, simplicity of utilization, precision, and information security. It provides constant remote bio-signals observing systems dependent on the Internet of Things (IoT) innovation. The system is conceptualized to give an interface between the specialist and the patients for two-way correspondence. The Number of individuals who require medical services increases day by day and the regular monitoring systems require patient's participation face to face inside medical clinics. This may create a wasteful circumstance to deal with the patients, particularly the individuals who have basic and unsteady ailments. Subsequently, web innovation alongside present-day electronic gadgets could offer promising arrangements in this field. In view of that, this venture uses a versatile application as an IoT stage to screen distantly the live ECG signal, heart rate and the body temperature of the patient. The signals are estimated and prepared by utilizing a microcontroller-based gadget (Arduino) and sent to the cloud using ESP8266 microcontroller and the location is monitored by the GPS module. The principal reason for this study is to work with the far-off heart patients in getting the most recent medical care administrations which probably won't be conceivable in any case because of low specialist-to-patient proportion.
3D Labs Based on Virtual Reality for Teaching Physics

It is widely known that laboratory practices in the field of physics favor the development of scientific thinking skills in university students. Proposing innovative tools that facilitate the practical learning of physics is a commitment of higher education institutions, in the permanent search for quality. This paper presents the Fisitory tool, developed by the research groups called educational management and Software and network engineering, both with affiliation to the Universidad de la costa – CUC. The platform uses virtual reality technologies in a 3D environment, where teachers and students will be able to recreate laboratory experiences in one-dimensional and two-dimensional kinematics, Newton's second law and conservation of mechanical energy. For its construction, the conceptual, logical, and physical models were designed, which show the integration components of the technological solution, in an architecture structured in layers. The interaction of students who take mechanical physics subjects with the platform showed an improvement in the process of reinforcing the concepts and the development of scientific thinking skills in problem solving. The implementation of this solution awakens the interest of digital natives, in terms of the appropriation of fundamentals and the experimental practice of physics, given that technologies based on gamification and set in 3D escape rooms, are motivating for students and impact favorably your scientific thinking skills
Use Persona Marketing to Exceed Expectations

Nonprofit Communications ReportVolume 19, Issue 8 p. 5-5 Marketing Approaches Use Persona Marketing to Exceed Expectations Megan Venzin, Megan VenzinSearch for more papers by this author Megan Venzin, Megan VenzinSearch for more papers by this author First published: 03 July 2021 https://doi.org/10.1002/npcr.31766Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume19, Issue8August 2021Pages 5-5 RelatedInformation
Um Metodo para Busca Automatica de Redes Neurais Artificiais.

This paper describes a method that automatically searches Artificial Neural Networks using Cellular Genetic Algorithms. The main difference of this method for a common genetic algorithm is the use of a cellular automaton capable of providing the location for individuals, reducing the possibility of local minima in search space. This method employs an evolutionary search for simultaneous choices of initial weights, transfer functions, architectures and learning rules. Experimental results have shown that the developed method can find compact, efficient networks with a satisfactory generalization power and with shorter training times when compared to other methods found in the literature.
ОСОБЕННОСТИ И ТРУДНОСТИ ПРЕПОДАВАНИЯ ПРОФЕССИОНАЛЬНОГО АНГЛИЙСКОГО ЯЗЫКА ДЛЯ СТУДЕНТОВ ХИМИИ И БИОЛОГИИ

This article deals with conducting English for Specific Purposes (ESP) for chemists / biologists. ESP courses focus on a specific area or discipline. This article describes the differences between General English and English for Specific Purposes (ESP). The main focus of ESP is not to emphasis on the language itself, but tries to highlight the need of a learner such as English for Engineers, Lawyers, Chemists, Biologists, Doctors and etc. On the other hand, General English refers to context that educating of the basics of grammar, phonetics, vocabulary. Furthermore, the authors share their own experiences on teaching English in a professional sphere. This article shows the importance of teaching English for Specific Purposes for particular specialties, moreover there are some difficulties listed in the article. It was noticed that the work is more enthusiastic if students have contact with their specialty, and they are able to access the specific vocabularies related to their main subjects.
한국어 학습자를 위한 역사 교육 방안 연구 - 한중일 3국의 개항을 중심으로 -

This paper introduces an instructional model of Korean history for learners of Korean language. The ultimate goal of language learning is to improve communicative skills and content-based instruction is considered highly efficient method of facilitating language learning. In this paper, history is employed as the content of the instruction for learners of Korean language from China and Japan. Significant periods of history of the three nations are closely intertwined so the learners are knowledgeable and familiar with the topic. This should help them to understand the content of the history lesson when presented in the classroom and thus facilitate acquisition of Korean language skills. Prior to presenting ideas for teaching history, selected textbooks of Korean language used at major Korean language education centers in Korea have been studied to assess what is included in terms of history education. The analysis results indicate that most textbooks do not fully cover any specific periods of history such as the 19th century, when Korea, China, and Japan started opening up to the outside world. They only explain isolated backgrounds of historic figures such as King Sejong and Admiral Lee Soon-shin, or famous sites like Bulkusa (temple) in Gyeongju and Gyeongheegung (palace) in Seoul. Also, the analysis reveals that facts on Korean history were provided without an opportunity for exchanging cross-cultural views. In this respect, this paper suggests an instructional model of Korean history where learners from China and Japan can compare and contrast the circumstances surrounding the start of diplomatic relations by Korea, China, and Japan with foreign nations in the 19th century. While focusing on the content of history, learners are also provided with language learning materials, which will help them improve their communicative skills.
CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search.

A strong visual object tracker nowadays relies on its well-crafted modules, which typically consist of manually-designed network architectures to deliver high-quality tracking results. Not surprisingly, the manual design process becomes a particularly challenging barrier, as it demands sufficient prior experience, enormous effort, intuition and perhaps some good luck. Meanwhile, neural architecture search has gaining grounds in practical applications such as image segmentation, as a promising method in tackling the issue of automated search of feasible network structures. In this work, we propose a novel cell-level differentiable architecture search mechanism to automate the network design of the tracking module, aiming to adapt backbone features to the objective of a tracking network during offline training. The proposed approach is simple, efficient, and with no need to stack a series of modules to construct a network. Our approach is easy to be incorporated into existing trackers, which is empirically validated using different differentiable architecture search-based methods and tracking objectives. Extensive experimental evaluations demonstrate the superior performance of our approach over five commonly-used benchmarks. Meanwhile, our automated searching process takes 41 (18) hours for the second (first) order DARTS method on the TrackingNet dataset.
The Effectiveness of Low Cost Hybrid Simulator Teaching Aids in Achieving Clinical Skills for 3rd Trimester Pregnancy Examination in Midwifery Students

The use of hybrid simulators in the clinical learning of antenatal care is necessary to improve student skills.However, thelack of availability and function limitations in determining the height of the fundus uteri (TFU) by palpating the abdomen of pregnant women in an old-fashioned hybrid simulator hampered the process of clinical learning. The purpose of this reserach is to develop the hybrid simulator low cost in achieving clinical skills in pregnancy examination. This research is an R&D research with ADDIE development model. The test subject is the second grade of midwife students in Health Polytechnic Ministry of Health Riau and Laksamana Midwifery Academy, and midwifery/CI in four maternity homes in Pekanbaru. The assessment data consists of  quantitative data and qualitatif data. Quantitative data is obtained the result of Focus Group Discussion (FGD). The the results of  data showed the value of α <0.05 means there is a significant difference between the assessment of the old panthom and the assessment of the new panthom using a hybrid low cost simulator. Old panthom assessment results averaged 68.27 while new panthom assessment results averaged 84.94. Low cost hybrid simulators can be used as a learning medium to improve clinical skills in antenatal care especially in determining the height of the fundus uteri (TFU) in pregnant women. The qualitative results of this research can be categorized as low cost, realistic, durable, and safe. It is expected that lecturers or instructors in the field of midwifery will be creative in creating or developing a teaching tool for low-cost but high-quality clinical skills that can be used in learning.
Stochastic Computing: Systems of its solutions in circuits

Advanced applications requests fast and strength with little joining region and low for utilization. Because of the progression in innovation, the measurements of semiconductors continues diminishing accordingly makes it conceivable to fuse increasingly more number of semiconductors on a chip. In any case, decrease of the size of semiconductor increments spillage flows thus power utilization and lack of quality. To address these issues either semiconductor must be supplanted by other gadget or old style method of figuring must be supplanted by an elective processing method. One such offbeat type of figuring is SC. Stochastic figuring is probabilistic in our world(nature). While weighted paired figuring gives rapid and precision at the expense of huge coordination territory and colossal equipment cost. Additionally, these processing strategies have little commotion power. Stochastic figuring is productive as far as incorporation zone, cost of equipment at the same time  high noise.While its speed is similar to conventional  computing systems for small tenders, the accuracy is fewer then  conventional computing circuits. This paper depicts the vital ideas in (SC), its variations, transformation measure and stochastic circuits. Principle difficulties to stochastic figuring and their potential arrangements are additionally featured in this paper.