Reviewerly/exHarmony huggingface dataset:
The Secrets of Happiness at Work. A Case Study of Private Healthcare Providers in Dubai

The role of employee happiness is important for healthcare organizations and is central to efficient management practice. The purpose of this paper is to explore the secrets of happiness at work in the private healthcare sector of Dubai. More specifically, it examines the factors influencing the happiness of employees working in the private healthcare organizations in Dubai. This study uses a collection of research methods, including a comprehensive revision of all relevant publications and documents, interviews and a questionnaire survey. The questionnaire was distributed to six hundred fifty employees working in 27 large, medium and small private healthcare organizations in Dubai. A total of 443 questionnaires were returned, giving us a final response rate of 68%. The results of this study provide insights into the factors influencing happiness at work in Dubai’s private healthcare organizations. These factors as ranked by respondents, including effective working relationships with colleagues, company’s financial stability, normal work-life balance, attractive salary, interesting job, recognition, good relationships with superiors, job security, autonomy, company values, appreciation for work and learning and career development opportunities. Furthermore, results revealed that high levels of healthcare employee happiness help to empower and persuade colleagues, especially when they are faced by challenges while dealing with critical health care issues of the patients.
Peranan Guru Dalam Pengembangan LiterasiInformasi Di Sekolah Dasar

The importance of information literacy skills is to form a quality community. It the understanding of information literacy should be developed since children in elementary school. This study aims to describe: 1) the role of the teacher in implementing information literacy, 2) constraints faced by teachers in developing information literacy, and 3) solutions to overcome obstacles in the development of information literacy. This study uses qualitative research methods with descriptive research designs. The research subjects were principals, high-class teachers and students. Data collection techniques through observation, structured interviews, and documentation. Validity in this study through triangulation of techniques and sources. Interactive data analysis techniques using data reduction, data presentation, and drawing conclusions / verification. The results of the research are: 1) the role of the teacher in the implementation of information literacy that is teaching students to understand the correct information, ensuring prior information obtained from the internet, inviting students to think critically in every activity and utilizing reading corners and libraries, 2) the obstacles faced are the lack of teacher knowledge about the concept of literacy, do not have librarians and computer labs and 3) the solution is for teachers to take part in education staff training programs to increase teacher literacy capacity, encourage students to enjoy reading books, make maximum use of reading corners and libraries.
Filipino to Chinese Speech-to-speech Translator Using Neural Network with Database System

Technology nowadays becomes convenient because conveying information between computers and other electronic devices is done in a speech-to-speech environment through speech implementation.There are different technologies that can aid in speech implementation and one of which is the Neural Network System (NNS).A Neural Network System is composed of many simple processors combined together that recognizes pattern through series of trainings.The aim of the research is to produce computer software that uses an algorithm in order to translate Filipino speech into Chinese speech with the use of an artificial neural network aided by LabVIEW.The use of LabVIEW in implementing the whole speech-to-speech system organized the details through three stages: speechto-text stage, text-to-text stage, and text-to-speech stage.The results showed that increasing the number of training of words increases the success rate of the system in recognizing the words.Some words used are nearly similar in pronunciation with other word received lower success rates as compared to unique words.Training has a success rate of 93.4% while testing yielded 91.59 percent.Speech implementation was conducted successfully that applied speech recognition, speech synthesis, and database system.The results of the speech-to-speech translation of Neural Network System in LabVIEW presented herewith such that they can be used as an aid to improvement of speech implementation.
한국의 쌍따옴표 저널리즘과 헤드라인 번역: 연합뉴스 연성화와 한일번역 분석을 중심으로

The headline of a newspaper article summarizes the content of the article, communicates the issue, and implies the importance of the article (Van Dijk, 1988). As you can see from the term ‘a shopper of headlines’, newspaper are mainly reading the headlines. In fact, the headline is used to determine the overall flow of the article content and to determine whether to read the article before read the article. Moreover, the ever-decreasing rate of readership and readership of newspapers increases the role and impact of headlines that capture readers’ attention and read the text. In terms of and readers’ acceptance, the headline plays an important role and function as much as the text of a newspaper article. Although the headlines serve as the front door of newspaper articles, they are common in the world, but the characteristics of the headlines and the practices of headlines may differ from one language culture to another. The biggest feature of the Korean headline is that it uses a lot of quotes directly in the headline. Although direct quotes are intense elements that cause the readers visual tension in the article text, they are used from the beginning, and in spite of the fact that they are used with special attention (Brooks, Kennedy, Moen, & Ranly 2002) The frequency is markedly higher. The so-called ‘double-quoted journalism’, which directly quotes the title of the article, has long been pointed out by Korean scholars (Lee 2007; Hwang 2008). Dual-quote journalism is a term that criticizes Korean headline practice, which does not independently verify the contents of a specific source, but makes a citation (Lee 2007: 67). This study focuses on ‘double quotation journalism’ in Korea and examines how Korean headline practice is reflected and controlled in Korean - Japanese translation.
Factibilidad Tecnico economica de la producción de hidróxido de litio a pequeña escala a partir de salmueras

The electrification of our world is driving a strong increase in demand for lithium and lithium hydroxide, because is a vital raw material for the build-up currently available lithium-ion batteries. Currently approximately 60% of the world's production of lithium compounds is extracted from brines, a practice that evaporates water on average a million litres of brine per ton of LCE. Due to that the present text is an investigation of a novel method to produce lithium hydroxide from brines in Atacama Desert, Chile. This region presents particular desert climate conditions where water are scarce and to help solve this problem of the conventional production process, was developed and simulated a modified process, with an efficient consumption of water, to improve the environmental sustainability of the production plant. It was found that the water consumption per kilograme of product was modified from one million litres of water per ton of LCE to 2596 litres and process cost is estimated to approximately 3 dollar per kilogram of LCE.Finally it can be said that considering the environmental aspects, the corporate process for LiOH production is also mutually beneficial and the results presented can be considered as guidelines to address the optimization of the industrial process for obtaining the LiOH.
Implementasi Metode Lipirtup untuk Meningkatkan Kemampuan Menulis Puisi pada Siswa Sekolah Dasar

Based on interview and documentation in Ngino 2 Elementary School, sub-district Semanding, district Tuban, student’s ability to write poetry was till poor, eight students the value reached the criteria, meanwhile sixteen students the value reached under the criteria, so value percentage only got 3,3% classically. The purpose of this research was to increase ability to write poetry for 4 graduates at SDN Ngino II Semanding. The type of this research was Class action esearch with research procedure that consists of four steps: planning, observation, action, reflection. Subject of research was students grade V, having 24 students. The techniques of collecting the data were test and documentation with instruments of test and documentation. The technique of data analysis was calculating the value reached the criteria of each person and making a percentage classically. The result of research was the ability to write poetry of Indonesian Language, checked by data of pre cycle reaches 33,33%, this means from 24 students as many as 8 students the value reached the criteria, meanwhile in the first cycle student’s ability to write poetry reached with 62,5%, this means from 24 students as many as 15 students the value reached the criteria and the ability to write poetry in the second cycle with 83,33%, this means from 24 students as many as 20 students already reached the criteria. The increase obtained in the first cycle and the second cycle were 20,83%. This showed the LIPIRTUP method could improve the ability to write poetry.
Effects of Social Emotional Learning Implemented in a Special School on the Social Emotional Knowledge, Social Emotional Skills and Peer Interactions of Students with Intellectual Disabilities

The purpose of this study was to examine the effects of social emotional learning in special schools on social emotional knowledge, social emotional skills and peer interactions of students with intellectual disabilities. The participants in the study were 36 students in the fourth, fifth and sixth grades attending special schools. The students were placed into two classes: an experimental group and control group. The social emotional learning(SEL) program’s contents were constituted by analyzing previous SEL programs, the special education basic curriculum, and intellectual disability adaptation behavior. To prove the effects of the intervention on the social emotional knowledge and social emotional skills of students with intellectual disabilities, the pretest-posttest control group design was applied. In order to investigate the trends of behavior changes, positive peer interaction behaviors of the experimental group were measured at 10 time points. Additionally, themes on the overall peer interaction behavior changes among students were derived from collected qualitative data based on interviews of three homeroom teachers. The experimental group showed significantly higher scores of social emotional knowledge and social emotional skills, and positive interaction behaviors among the peer groups of the experimental group were increased. In summary, this study demonstrates that the social emotional learning program may have positive effects on the social emotional knowledge, social emotional skills, and peer interaction of students with intellectual disabilities. The conclusion from this study would propose the need to develop and implement social emotional learning for students with intellectual disabilities in special schools. The implications of this study were discussed and tasks for future studies were identified.
Photon-Number-Resolving Detection for Viable Gottesman-Kitaev-Preskill State Preparation

We include photon-number-resolving detection in “photon catalysis” and apply it to generating non-Gaussian quantum states, including perfectly displaced single-photon states, high-fidelity squeezed cat and Gottesman-Kitaev-Preskill states.
2.2: <i>Invited Paper:</i> Towards Picture‐Level Color Breakup Assessment for Sequential Color Displays

Considering color breakup assessment is important to sequential color displays, we review a series of work by classifying into threshold display configurations, metrics for special patterns, and picture‐level metrics. Next, we propose a general picture‐level metric by modeling the color‐breakup‐related visual attention with a new theorem of dominant visual saliency.
Economic recovery, growth paradox and agricultural product marketing in Nigeria

This study reviews Federal Government of Nigeria’s policies on the marketing of agricultural produce. The study used primary and secondary Data collected and analysed them using descriptive statistical models. The study used simple purposive randomised sample collected from a population of 100 workers. 11 questionnaire items were designed and administered to 100 respondents and 80 of them retrieved. Three null hypotheses were formulated and tested at 0.05 level of significance. Chi-square statistics was deployed. The study reveals that there is a significant relationship between government policies and the marketing of agricultural products. The result further reveals that there is a significant relationship between agricultural marketing policies and constraints on local agricultural product markets. It stressed the need for a positive relationship between policy strategies and Nigerian agricultural markets. Hence, it is irreducibly inferred that the FGN needs to re-strategize on how to improve the competitiveness of Nigerian agricultural food prospects domestically and globally. The need to further calibrate silos, food tanks, promotes integrated rural agricultural development centres,  involving agricultural, non-agricultural, food activities, etc, demand immediate attention. The provision of physical infrastructures, such as feeder roads, rural water supply, transportation, other logistics, including telecommunication, rural communication, increased building of commercial farm centres, warehouses, cooling houses and other means of storage facilities to keep the population out of hunger, stem down the tides of insecurity in the country, checkmate advancing foreign armed invading bandits, killer herdsmen and guarantee food security becomes very urgent now than ever.Keywords: Economic Recovery ,Growth strategy (ER&G), government policies, marketing of agricultural products, food security, food business, food marketing infrastructures, agribusiness
SISTEM PAKAR MENGGUNAKAN METODE FORWARD CHAINING DAN METODE CERTAINTY FACTOR UNTUK MENDIAGNOSA TAHAPAN PENGGUNA NARKOBA

Drugs have become very real enemies to the present day, not just for people who use these drugs, but also all aspects of constitutional life even to the whole world, because drugs are included in the category of criminal acts that are very dangerous. On the other hand, the perpetrators of drugs also want to return to life like before that are completely separate from the trap of drugs, but they referred to the surrounding environment and the minimal cost of doing media rehabilitation. Therefore, to be able to know the number of drug users, then, the Experts make the concept of an Expert system with Forward Chaining method, Certainty Factor, by using PHP programming language and MySQL database. With this system, Experts are expected to be able to know the level of drug users perceived levels as well as know the possibility of action handling. Keywords : Expert System, Forward Chaining, Certainty Factor, Drugs
국내외 영어교과서 분석을 통한 영어과 교육과정의 능숙도 목표 수준 설정에 대한 고찰

This study attempted to explore the Target Levels of English Proficiency (TLEP) in the National Curriculum of English. For this, dozens of English textbooks from ten countries were analyzed in lexical uses and readability. The research questions addressed in the present study are twofold: 1) How do the English textbooks of the same grade or the same age differ in the readability index? 2) How does the level and amount of vocabulary used in English textbooks vary? As a result, the readability index of Korean English textbooks is set at a lower level by and large, but the readability index of Korean high school 3rd grade English textbooks is almost the same as that of the English-speaking countries’ English textbooks. In the case of Japan, the readability index is relatively low, and the readability index of Chinese primary, middle, and high school English textbooks is moderate, ascending gradually in accordance with school level. In addition, most of the domestic and foreign English textbooks include more than 90% of the vocabulary used in the BNC-COCA 4000, however, in the foreign textbooks, various kinds of vocabulary were used beyond the level of the Korea National Curriculum of English. Based on the results of this study, we are to suggest the development of CEFR-K like CEFR-J in Japan.
Estimation of sedimentary thickness using spectral depth analysis approach: A case study of Sokoto Basin of northwestern Nigeria

Spectral depth analysis using high resolution aeromagnetic data was carried out to evaluate the sedimentary thickness of northeastern part of Sokoto Basin, Nigeria. The study area is situated between longitude 50 00׳00״E to 6000׳00״E and latitude12030׳00״N to 13030׳N. Covering four (4) sheets namely; sheet 11 (Rabah), sheet 12 (Isah), sheet 30 (Dange) and sheet 31 (Mafara). Spectral depth analysis and source parameter imaging (SPI) were carried out on the composite map of the area to estimate depth variation to basement and infer areas of probable hydrocarbon maturation prospects. The result of the spectral studies indicates an increase in sedimentation northeastern part, with several depressions on the basement rock. Two prominent magnetic layers of depths, deeper depth (Z1) and shallow depth (Z2) varying from 0.91 to 2.09 km and 0.35 to 0.73 km were observed with averages 1.6025 and 0.549 km respectively. Source Parameter Imaging (SPI) depth result ranges from 0.239 km (shallow magnetic bodies) to 1.912 km (deep lying magnetic bodies). These blocks where higher sedimentary thicknesses are observed in the study area such as blocks G (2.02 km), K (2.20 km) L (2.09 km) and P (1.91 km) are probable sites for prospect of hydrocarbon maturation in the study area.
Generating Tripartite Entanglement Using Four-Wave Mixing in Warm Atomic Vapor

We present a dual-pump setup for generating tripartite entanglement using four-wave mixing in warm atomic vapor. We derive the output state for vacuum inputs and show that this state is genuine tripartite entangled.
A Physical Philosophy for Approaching the True and Then the Beautiful: Principled Review on the Progress of Contemporary Physics

Physics demands not only the beautiful but also the true. The true is the first, and the beautiful is the second. The philosophy of physics should emphasize the true and then the beautiful. After reviewing three kind of main hypotheses beyond standard model, and based on experimental and observational evidences, three physical principles and three philosophical rules are suggested, namely P1-action principle, P2-duality principle, P3-equivalence principle, and R1-logic harmony, R2-minimum hypotheses, R3-maximum hopes. It is revealed that there are no supersymmetry and dark sectors because the space and time for the existence of unknown particles resemble impossible.
BeckerGuides: ORCID: Publishers and Funders

ORCID is a tool for authors to disambiguate their works from other researchers What publishers and funders require an ORCID ID?
Gaussian-Process-Based Dynamic Embedding for Textual Networks.

Textual network embedding aims to learn low-dimensional representations of text-annotated nodes in a graph. Prior work in this area has typically focused on fixed graph structures; however, real-world networks are often dynamic. We address this challenge with a novel end-to-end node-embedding model, called Dynamic Embedding for Textual Networks with a Gaussian Process (DetGP). After training, DetGP can be applied efficiently to dynamic graphs without re-training or backpropagation. The learned representation of each node is a combination of textual and structural embeddings. Because the structure is allowed to be dynamic, our method uses the Gaussian process to take advantage of its non-parametric properties. To use both local and global graph structures, diffusion is used to model multiple hops between neighbors. The relative importance of global versus local structure for the embeddings is learned automatically. With the non-parametric nature of the Gaussian process, updating the embeddings for a changed graph structure requires only a forward pass through the learned model. Considering link prediction and node classification, experiments demonstrate the empirical effectiveness of our method compared to baseline approaches. We further show that DetGP can be straightforwardly and efficiently applied to dynamic textual networks.
Improved ComNet Based on Expectation Propagation for CP-Free OFDM System

To promote the performance of ComNet and OAMPNET for CP-free OFDM, improved ComNet based on expectation propagation (IComNet-EP) is proposed in this paper. The IComNet-EP receiver includes channel estimation network (CENET), expectation propagation equalization (EPE) block and demodulation module. The channel state information is estimated by a model-driven neural network, CE-NET. Due to inter-symbol interference (ISI), the EPE block removes the ISI by buffering the previous OFDM symbol first and then detects the signal by expectation propagation algorithm. The IComNet-EP has comparative complexity with the OAMP-NET and ComNet but has better robustness for the detection part. The simulation results show that the proposed scheme offers a much lower bit-error rate than competitive algorithms.
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features.

In order to improve the accuracy of recommendations, many recommender systems nowadays use side information beyond the user rating matrix, such as item content. These systems build user profiles as estimates of users' interest on content (e.g., movie genre, director or cast) and then evaluate the performance of the recommender system as a whole e.g., by their ability to recommend relevant and novel items to the target user. The user profile modelling stage, which is a key stage in content-driven RS is barely properly evaluated due to the lack of publicly available datasets that contain user preferences on content features of items. To raise awareness of this fact, we investigate differences between explicit user preferences and implicit user profiles. We create a dataset of explicit preferences towards content features of movies, which we release publicly. We then compare the collected explicit user feature preferences and implicit user profiles built via state-of-the-art user profiling models. Our results show a maximum average pairwise cosine similarity of 58.07\% between the explicit feature preferences and the implicit user profiles modelled by the best investigated profiling method and considering movies' genres only. For actors and directors, this maximum similarity is only 9.13\% and 17.24\%, respectively. This low similarity between explicit and implicit preference models encourages a more in-depth study to investigate and improve this important user profile modelling step, which will eventually translate into better recommendations.