Reviewerly/exHarmony huggingface dataset:
Hyperconnected diasporas amidst pandemic citizenship: The end of the ‘global citizen’?

Over the last decades, globalisation has led to a new class of ‘global citizens’. However, this cosmopolitan globalisation rhetoric of a borderless would has been drastically slowed down by COVID-19, by particularly affecting the understanding of diasporas and how much they rely on the potential of hyperconnected societies driven by digital technologies and devices. By contrast, COVID-19 has also hit citizens dramatically, not only creating a general risk-driven environment encompassing a wide array of migration uncertainties and economic vulnerabilities but also exposing them to pervasive digital risks, such as biosurveillance, misinformation, and e-democracy algorithmic threats. As soon as soon countries have started lifting pandemic restrictions the debate about reopening borders by allowing international travelling has introduced a set of techno-political issues related to the ethical dimensions of vaccine passports and biometric components insofar as they might be fostering in a way a sort of unethical vaccine nationalism. Against the backdrop of this uncertain scenario, this paper sheds light on the way COVID-19 may end up with the notion of ‘global citizens’ by initiating a new and endless era characterised by ‘pandemic citizenship’, meaning (i) a permanent state of uncertainty in terms of migration for diasporic citizens, (ii) who thereby are highly dependent on their specific overseas location and country, and (iii) are extremely reliant on hyperconnectivity. This paper therefore pays attention to the notion of ‘pandemic citizenship’ as a transitional phase of the former ‘global citizenship’ living overseas and being part of a diaspore while being exposed (consciously or unwittingly) to such techno-political consequences of the pandemic in their daily life regarding privacy, surveillance, ethics, and ownership of data. The paper will explicitly revolve around the ongoing action research project on the Basque case in close collaboration with the Basque Government.
High Dynamic Range Image Enhancement Using Python Programming

High-dynamic-range imaging (HDRI or HDR) is a procedure utilized in imaging and photography to replicate a more prominent unique scope of radiance than is conceivable with standard computerized imaging or photographic strategies. Most imaging gadgets utilize 8-bits per channel, so we are restricted to just 256 levels. At the point when we take photos of a certifiable scene, brilliant locales might be overexposed, while the dull ones might be underexposed, so we can't catch all subtleties utilizing a solitary openness. HDR imaging works with pictures that utilization over 8 bits for every channel (normally 32-bit drift esteems), permitting a lot more extensive powerful reach. The most well-known one is to utilize photos of the scene taken with various openness esteems. To join these openings, it is helpful to realize your camera's reaction capacity and there are calculations to assess it. After the HDR picture has been blended, it must be changed over back to 8-bit to see it on normal presentations. This process is called tone mapping.
The Influencer Elements of Employee Performance: A Review on Tourism and Archaeological Industry in Jordan

Tourism and Archaeological Industry is one of economic contribution for Jordan’s country. It has been a necessary to investigate the factors are affecting the employee’s performance in the industry since many factors have been disregarded in numerous writing in light of employee performance. Thus, this study has start with a theoretical approach by reviewing some theoretical literatures and previous studies related to the variables of the study objectives. A survey of previous studies and theories related to the subject of the study was conducted and in view of the survey discoveries found that there is a positive connection between human resources management practices, leadership style, employee engagement and employee performance. The present paper suggested the company-up interconnection between human resources management practices, leadership style, employee engagement in the industry is assisting for influencing the employee performance.
LibGuides: Educational Psychology LibGuide - Public Library: Additional Resources

Learning is a complicated process. Each child is an individual and has individual needs or styles of learning. The focus of this LibGuide is to provide parents and educators with the information they need to help a child learn.
SISTEM PAKAR UNTUK MENDETEKSI KERUSAKAN POMPA UTAMA ELEKTRIK PEMADAM GEDUNG BERTINGKAT BERBASIS WEB

The electric main pump of a multi-storey building is the one of security and safety means to reduce the potential risk of fire disaster. In carrying out its function as a pressurized water distributor, main electric extinguiser pump sometimes suffers damage which results in the pump not being able to operate optimally or even not functioning at all, but technicians who experts, especially in the field of electric fire main pumps, are very limited in number. The expert also cannot always be in the building for 24 hours. The development of an expert system to detect damage main pump of building s deemed necessary to be presented, helping make it easier for high-rise building technicians to detect damage that occurs to electric extinguisher main pump of multi-storey building is a system using forward chaining method which functions in finding damage caused by symptoms that arise when the electric extinguisher pump is operated. This method uses the information to assign execution rules or the information to memory then processed to find the result. So that the technicians can detect damage the occurs to the pump so they can find out and deal with damage to the main electric extinguisher pump before it is handled further by experts. Seeing the results of the test carried out shows that the expert system designed is able to work properly and well to use. It is known that the problem of damage to the main pump of the electric fire extinguisher in buildings can be helped with this expert system.
문법 항목의 의미·기능 제시 방안 연구 - ‘-잖아(요)’의 다의성·다기능성에 대한 원형 이론적 접근을 중심으로 -

The purpose of this study is to explore how the meanings and functions of a certain grammatical item can be suggested in the Korean language education field. To do this, this study selected ‘-janha(yo)’ and reviewed the previous literatures on the meanings and functions of ‘-janha(yo)’. With conducting corpus analysis of functions of ‘-janha(yo)’, this study discussed the relations between meanings and functions based on the prototype theory and the frequency of functions of ‘-janha(yo)’ showed in a spoken language corpus. Consequently, this study found that some peripheral meanings of ‘-janha(yo)’ were derived from the prototype meaning of it, and so were the functions. In addition, it is founded that the closer to prototype, the more frequency. Based on the result, this study suggested the order of meanings and functions of ‘-janha(yo)’ like following: 1) telling the contents of sentence coincident with the listener’s knowledge(confirming), 2) telling the contents of sentence coincident with the listener’s way of thinking(asking for agreement), 3) telling the contents of sentence that the speaker thinks the listener must know(informing, hypothesizing, scolding).
PENGARUH EDUKASI GIZI BERBASIS MEDIA VIDEO DAN LEAFLET TERHADAP PENGETAHUAN GIZI SEIMBANG SISWA SMPN 14 KOTA BEKASI

The most cause of nutrition problems in adolescents is due to lack of nutritional knowledge and lead to a wrong choice of what meals would be consumed because the level of knowledge in adolescents. Nutrition education is highly important to encourage adolescent nutrition knowledge so it is necessary to be socialized as an effort to change the wrong eating habits. This study aimed to see the impact of nutrition education by using video and leaflet on student knowledge. This type of research is a quasi-experiment used a one-group pretest-posttest design. The number of samples were 88 students. The average pre-test of the video group was 59.31 and the post-test was 72.05 with a standard deviation is 14.40. While in the leaflet group the pre-test average was 69.77, and the post-test was 82.95 with a standard deviation is 15.01. Results of the Paired Sample T-Test analyzed is 0,000 < 0.05 for video. And p-value 0.003 < 0.05 for the leaflet, which means there is an impact of nutrition education used video and leaflets on balanced nutrition knowledge of 14th JHS Bekasi Students. The result of Independent T-Test is leaflet more effective as a nutrition education media.
Selective MPC: Distributed Computation of Differentially Private Key Value Statistics.

An increasingly popular method for computing aggregate statistics while preserving users' privacy is local differential privacy (LDP). Under this model, users perturb their data before sending it to an untrusted central party to be processed. Key value data is a naturally occurring data type that has not been thoroughly investigated in the local trust model. Existing LDP solutions for computing statistics over key value data suffer from the inherent accuracy limitations of each user adding their own noise. Multi-party computation (MPC) is a common alternative to LDP that removes the requirement for a trusted central party while maintaining accuracy; however, naively applying MPC to key value data results in prohibitively expensive computation costs. In this work, we present selective multi-party computation, a novel approach to distributed computation that leverages DP leakage to efficiently and accurately compute statistics over key value data. We show that our protocol satisfies pure DP and is provably secure in the combined DP/MPC model. Our empirical evaluation demonstrates that we can compute statistics over 10,000 keys in 20 seconds and can scale up to 30 servers while obtaining results for a single key in under a second.
RANCANG BANGUN SISTEM INFORMASI ADMINISTRASI MASJID BERBASIS WEB DI MASJID ASY-SYUHADA KOTA BATAM

Technology has a significant impact on everyday life, almost all activities use technology as a place to facilitate a work process. In the religious field, information technology can also be used by the community as a medium to obtain information and disseminate information about religion, one of which is in the mosque. The mosque itself has administrative processing which includes the preparation of an organizational structure, one of which is the Ash-syuhada Mosque in Batam. Based on the results of observations, the Ash-Syuhada Mosque does not yet have an information system in the management of mosque administration. Obstacles that are often faced in processing the cash of the Asy-syuhada mosque do not save time to look for administrative data, there is a difference in the calculation of incoming funds and expenditure funds, administrative processing is still complicated, the process of recording mosque cash data is not well organized, data processing of Ash-syuhada mosques. manual martyrs. For this reason, the author designed a WEB-based administrative information system intended for mosques to facilitate administrative processing.
Exploiting Language Model for Efficient Linguistic Steganalysis: An Empirical Study

Recent advances in linguistic steganalysis have successively applied CNNs,RNNs, GNNs and other deep learning models for detecting secret information ingenerative texts. These methods tend to seek stronger feature extractors toachieve higher steganalysis effects. However, we have found through experimentsthat there actually exists significant difference between automaticallygenerated steganographic texts and carrier texts in terms of the conditionalprobability distribution of individual words. Such kind of statisticaldifference can be naturally captured by the language model used for generatingsteganographic texts, which drives us to give the classifier a priori knowledgeof the language model to enhance the steganalysis ability. To this end, wepresent two methods to efficient linguistic steganalysis in this paper. One isto pre-train a language model based on RNN, and the other is to pre-train asequence autoencoder. Experimental results show that the two methods havedifferent degrees of performance improvement when compared to the randomlyinitialized RNN classifier, and the convergence speed is significantlyaccelerated. Moreover, our methods have achieved the best detection results.
Sentiment analysis of social media

Social media platforms are witnessing a significant growth in both size and purpose. One specific aspect of social media platforms is sentiment analysis, by which insights into the emotions and feelings of a person can be inferred from their posted text. Research related to sentiment analysis is acquiring substantial interest as it is a promising filed that can improve user experience and provide countless personalized services. Twitter is one of the most popular social media platforms, it has users from different regions with a variety of cultures and languages. It can thus provide valuable information for a diverse and large amount of data to be used to improve decision making. In this paper, the sentiment orientation of the textual features and emoji-based components is studied targeting “Tweets” and comments posted in Arabic on Twitter, during the 2018 world cup event. This study also measures the significance of analyzing texts including or excluding emojis. The data is obtained from thousands of extracted tweets, to find the results of sentiment analysis for texts and emojis separately. Results show that emojis support the sentiment orientation of the texts and that texts or emojis cannot separately provide reliable information as they complement each other to give the intended meaning.
Problematik Pendidikan Bahasa Indonesia Kajian Pembelajaran Bahasa Indonesia pada Sekolah Dasar

Learning is a permanent change in student behavior through experience, observation, and language, which is actively related to knowledge, attitudes and skills. This study aims to describe the problems of Indonesian language education, especially the study of how students learn the language in learning Indonesian. The approach used in this research is descriptive qualitative. Primary data was obtained through an interview study of teachers and students' guardians. Observations were made to see students' problems in learning Indonesian. The results of the study indicate that in language learning in schools, especially elementary schools, teachers evaluate and understand that students before entering school have learned language (language acquisition) through their living environment. Students will be more confident in learning a language if students are given the opportunity to improve their own work. Language learning provides opportunities for students to choose language activities. Furthermore, educators are more careful and selective in their role as professional educators (understanding aspects of language knowledge, level of language knowledge, and the important role of language skills. For other researchers, the results of this study can provide benchmarks for answers to problems in accordance with the formulation problems; as a motivation for other researchers to be more active in contributing the results of scientific work in the development of language
Для чего бизнесмену ЕQ (эмоциональный интеллект)

The conception of emotional intellect (EQ) and methods of its development are considered. Connection of EQ with the types of information metabolism is discussed.
THE USE OF AUDIO VISUAL AIDS IN TEACHING LISTENING COMPREHENSION (A DESCRIPTIVE STUDY AT LISTENING CLASS OF STKIP BINA BANGSA BANDA ACEH BANDA ACEH)

The purpose of this research is to figure out the kind of audio visual aids used by the lectures in listening class. The researcher used descriptive qualitative research as the method in this study. The Observation, interview, and questionnaire were used as the instrument. The result shows that most of students stated that the audio visual aids used in two listening classes were recording. The data of interview shows that by using audio visual aids in the classroom, lectures can teach listening easily. Audio visuals aids bring variation in teaching listening which help to draw the attention of the students toward the lessons. Based on the students’ perception, the use of the audio-visual aids provides the learners opportunity to have background knowledge of any topic which is necessary for the learners. Furthermore, the use of audio-visual aids also gives the learners extended language exposure and giving them better idea of the target language culture. Moreover, the result of the study also indicates that the audio-visual materials motivates the learners and helps them to lower their anxiety levels.
Domestic - Monitoring System For The Elderly Using Deep Learning

Taking care of elderly people is a significant duty. Elderly people are prone to fall-related fatalities including deaths. Fall affects them physically as well as mentally. Even though old adults are monitored manually there are cases when the caretaker is away for a moment and the old adults are at high risk of indoor accidents one such is falling. The time gap between the incident of fall and proper medical treatment is crucial in enhancing the chances of recovery. Thus a digitally assisted approach is required when manual monitoring is unavailable and to ease the same. In this project, deep learning-based digital monitoring is proposed for elderly people in indoor environments to detect falls. The proposed neural network architecture is computationally light, owing to lesser trainable parameters and a less complex pre-processing pipeline involving an optical-flow algorithm. Optical flow has the dual advantage of ensuring the privacy of the individual and requirement of inexpensive hardware which is a common RGBcamera.
Determination Of The Shortest Route of Electrical Scooters Maintenance Patrol in Bandung Using Nearest Neighbor and Genetic Algorithm Approaches

The increasing number of parking spot locations has increased the number of Electrical Scooters fleet maintenance patrols. For this reason, it is necessary to determine the shortest route for maintenance crew for patrolling through all parking spots. In this study, the determination the number of routes is done using the Nearest Neighbor approach and the shortest route path using the Genetic Algorithm approach. Based on the results of calculations, the best number of routes that can be used is 3 routes with each patrol time of 460, 414, and 417 minutes. With this research, it is expected that company can minimize patrol time and shortest mileage.
Comparative Analysis of Classical and Quantum Approach for Unsupervised K-Means Algorithm

Quantum algorithms are being extensively researched nowadays, seeing the potential to provide exponential speedup compared to classical algorithm execution. This speedup can play a significant role in machine learning, where training a model is usually prolonged. Training a machine learning model requires compressing large vectors into small computational units, and quantum computers inherently are fast at compressing the large vectors into small computations and tensor products. The present work aims to compare the K-means, a classical machine learning algorithm, and Q-means, a Quantum algorithm. Here in this work, we use q-means, a quantum algorithm for clustering, a canonical problem in unsupervised machine learning. The q-means algorithm has convergence and precision guarantees similar to k-means. [14]It outputs with high probability a good approximation of the k cluster centroids like the classical algorithm. The experimental results are demonstrated, which show a significant difference between k-means and q-means algorithms.
Сплочение людей в команду: экстраверты и интроверты

The results of experiments comparing the activity of extroverts and introverts in working groups when solving the assigned tasks are presented.
Contents And Structures Of The Professional Training Program In Higher Education

Providing Close Cooperation Between Vocational Education And Production, Improving The Quality Of Vocational Education, And Continuous Improvement Of The Educational Process Is An Urgent Task For Reforming The System Of Professional Education, Training Personnel Capable Of Actively And Effectively Participating In The Process Of Its Sustainable Growth And Modernization. In The Lesson Of Preparation For The Profession, Students Acquire The Skills, Abilities, Competencies And Competences Of Interdependence. From A Pedagogical Point Of View, Competence - Is Interpreted As A Combination Of The Knowledge, Skills And Experience Of Individuals With Certain Social And Professional Status To The Extent Of The Complexity Of The Tasks And Problems They Perform. Suitable For The Competence Approach We Are Considering Are The “Competence” And “Jurisdiction”, Which Differ In Each Other. The Article Describes The Objectives Of Continuous Improvement, Effectiveness And Adaptation Of The Content Of Professional Education, As Well As The Components Of Practical Professional Education.
과학 독서활동에서 초등과학영재가 생성한 질문들의 유형별 분석

The purpose of this study is to analyze the questions generated by science-gifted students in the course of science reading to find out the types and characteristics of the questions in order to prepare effective teaching plans for science-gifted students. To this end, elementary science-gifted students affiliated with universities in Seoul were asked to generate questions by dividing the types of questions after reading science into three types (convergent questions, productive questions, and evaluative questions). After grasping the detailed types of questions for each type, we examined whether differences in question types occurred even for science books with different subjects. As a result, various levels and types of questions appeared in the convergent question, productive question, and evaluative question. Also, the detailed types and frequencies of questions differed depending on the subject of the science book. The results of this study suggest that elementary science-gifted students form questions that cause various levels of thinking in the science reading process, and will serve as the basis for improving and developing reading instruction plans for effective science reading education in the future.
Unsupervised Skill-Discovery and Skill-Learning in Minecraft.

Pre-training Reinforcement Learning agents in a task-agnostic manner has shown promising results. However, previous works still struggle in learning and discovering meaningful skills in high-dimensional state-spaces, such as pixel-spaces. We approach the problem by leveraging unsupervised skill discovery and self-supervised learning of state representations. In our work, we learn a compact latent representation by making use of variational and contrastive techniques. We demonstrate that both enable RL agents to learn a set of basic navigation skills by maximizing an information theoretic objective. We assess our method in Minecraft 3D pixel maps with different complexities. Our results show that representations and conditioned policies learned from pixels are enough for toy examples, but do not scale to realistic and complex maps. To overcome these limitations, we explore alternative input observations such as the relative position of the agent along with the raw pixels.