Reviewerly/exHarmony huggingface dataset:
Pelatihan Penggunaan Komputer dan Instalasi Hardware Komputer Pada Praktek Mandiri Bidan Supiani Dalam Mendukung Peningkatan Pelayanan

The practice of Mandiri Midwife Supiani is a maternity clinic where service and marketing operations still use conventional methods, the founder of the Mandiri Midwife Supiani practice took the initiative to establish services for public health, especially for services for pregnant women and childbirth based on health services which is the most important thing for the community, where the community will consult and brobat for the complaints suffered against him. But if it is not supported by information technology, this noble idea will sink and become obsolete by the trend of the development of people's habits in obtaining information, where currently social media plays an important role in the marketing field, excellent service will be realized by the application of information technology, based on this the team provide solutions and assist the founder and owner of the Mandiri Midwife Supiani practice to be able to realize the application of Information technology as an excellent service supporter, with the stages of conducting training on how to use computers and helping to install computer networks so that the system can synergize in providing excellent service to the community, with the aim of improve the quality of health services in an excellent manner with the application of information technology. This paper reports on the activities during which the team carried out PKM at the Supiani Midwife's Independent Practice. After the training for partners, namely independent midwives, supine experienced an increase of 97.78% in terms of skills and understanding of the use of information technology in supporting service performance for patients
Transformer couplet generation model based on joint word segmentation

Chinese couplet is an art form with concise and strict antithesis. Given a sentence (namely an antecedent clause), people reply with another sentence (namely a subsequent clause) equal in length. It has made the machine-generated couplets readable and consistent for the result of existing deep learning methods. However, the generation process is character based which is different from the word-based use of Chinese. It is still a gap in semantic consistency between the results and the artificial creation. In this paper, a joint word segmentation of couplet is designed for the symmetry of couplet word segmentation results, and a word-based transformer couplet generation model is built to improve the semantic coherence of subsequent clauses generated. Moreover, word count information and part of speech information are added into the word vectors to provide the features of generating. Finally, the effectiveness of our model was confirmed in BLEU, Perplexity and human evaluation.
PROFESSIONAL DEVELOPMENT OF TEACHERS IN ONLINE COURSE DESIGN AND TUTORING

S. Djenic, V. Petrovic, S. Strbac-Savic, A. Miletic, M. NikolicAcademy of Technical and Art Applied Studies Belgrade - The School of Electrical and Computer Engineering (SERBIA)
Benchmarking Serverless Computing

With the increasing adoption of serverless computing, there is a need for a benchmark. The aim of this paper is to present such a benchmark based on performance and usability testing to better understand serverless services as well as help practitioners to select between two major clouds, namely, Amazon and Azure. Jmeter tool and system usability scale are used to conduct performance and usability testing, respectively. In addition, a replication package is provided to increase the validity and reliability of the results. The main findings revealed that the serverless platforms are different in their architecture. Even though both of them support the same serverless concept, they differ considerably in structure, development, and creations of services. Overall, both the cloud vendors under study provide the same core capabilities one would expect but, there are some differences too. In particular, usability could be improved to extend the market and capture more customers.
Survey on Innovative Techniques to Predict Software Defects

Among the most important activities of the SDLC testing phase is the software defect prediction (SDP). The modules are identified that are vulnerable to defects and require extensive testing. The test resources can be efficiently utilized without infringing the limitations. Even if SDP is very helpful in testing, predicting the defective modules is not always easy. Different problems impede smooth performance and use of model defect prediction. The prediction of software defects was an interest of investigation, as early-stage prediction of defects improves software quality with reduced cost and effective managing of software. Researchers from different fields help to provide different techniques for software defect predction. A number of approaches, frameworks, methods and modeling were proposed using different data sets, metrics and assessment strategies, in order to remove unnecessary and erroneous details from defect-prone modules. Defects in software systems are common and may cause software users various problems. During the development of different methods, the most probable defect location in large code bases was quickly predicted. Prediction of software faults is a vital and beneficial way of improving software quality and reliability. The ability to predict which components in a large software system will contain more faults in the next release contributes to the better management of projects, including an early estimation of possible release delays, and a “correcting guide for improving the software’s quality”. The identification of bugs/defects at the early stages of the software life cycle reduces the software development effort needed. A lot of research in software fault prediction using machine learning methods has been advanced. There are mainly two problems in the prediction of software defects, dimensional reduction and imbalances of class.
Open Science in the publishing landscape of hydrology research

&amp;lt;p&amp;gt;The universe of Open Science is expanding with many scientific disciplines, organizations and policymakers committing to openness, accessibility, transparency and reproducibility. The paper &amp;amp;#8220;&amp;lt;em&amp;gt;A Hydrologist&amp;amp;#8217;s Guide to Open Science&amp;amp;#8221;&amp;lt;/em&amp;gt; (Hall et al., 2022) introduces four &amp;lt;em&amp;gt;Open Hydrology Principles&amp;lt;/em&amp;gt; and provides a practical guide to empower hydrologists across the globe as they transition to open, accessible, reusable, and reproducible research in their academic work and beyond. In this poster, we will focus on the fourth principle of Hall et al. (2022), &amp;lt;em&amp;gt;Open Publishing&amp;lt;/em&amp;gt;, which should build on the other three principles (1. &amp;lt;em&amp;gt;Open Research Process and Approach&amp;lt;/em&amp;gt;, 2. &amp;lt;em&amp;gt;Open Data&amp;lt;/em&amp;gt;, 3. &amp;lt;em&amp;gt;Open Software Development and Use&amp;lt;/em&amp;gt;). We will present current Open Science policies of major hydrology journals based on the following five criteria: a) open-access model, b) publication finance policy, c) preprint policy, d) release requirements for data, code and software, and e) peer-review procedure.&amp;amp;#160;This overview can serve as a guideline for researchers that are in search of journals aligning with their Open Science perspectives. Additionally, we hope to kick off a broader discussion about the hydrologic publishing landscape and how it can evolve to foster Open Science.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Reference&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Hall, C.A., Saia, S.M., Popp, A.L., Dogulu, N., Schymanski, S., Drost, N., van Emmerik T. Hut, R., A Hydrologist&amp;amp;#8217;s Guide to Open Science. Hydrology and Earth System Sciences, doi.org/10.5194/hess-2021-392 (in print)&amp;lt;/p&amp;gt;
The influence of meteorological parameters on wind speed extreme events: &amp;#160;A causal inference approach

&amp;lt;p&amp;gt;Based on the ERA5&amp;amp;#160; data of hourly &amp;amp;#160;meteorological parameters [1], we investigate temporal effects of &amp;amp;#160;12 meteorological parameters on &amp;amp;#160;the extreme values occurring in &amp;amp;#160;wind speed.&amp;amp;#160; We approach the problem by using the Granger causal inference, namely by the heterogeneous graphical Granger model (HGGM) [2]. In contrary to the classical Granger model proposed for causal inference among Gaussian processes, the HGGM detects causal relations among time series with distributions from the exponential family, which includes a wider class of common distributions. In previous synthetic experiments, HGGM combined with the genetic algorithm search based on the minimum message length principle has been shown superior in precision over the baseline causal methods [2]. &amp;amp;#160;We investigate various experimental settings of all 12 parameters with respect to the wind extremes in various time intervals. Moreover, we compare the influence of various data preprocessing methods and evaluate the interpretability of the discovered causal connections based on meteorological knowledge.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;[1] https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;[2] Behzadi, S, Hlav&amp;amp;#225;&amp;amp;#269;kov&amp;amp;#225;-Schindler, K., Plant, C. (2019) Granger causality for heterogeneous processes, In:&amp;amp;#160;Pacific-Asia Conference on Knowledge Discovery and Data Mining. Springer, pp. 463-475.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;[3] Hlav&amp;amp;#225;&amp;amp;#269;kov&amp;amp;#225;-Schindler, K., Plant, C. (2020) Heterogeneous graphical Granger causality by minimum message length, Entropy, 22(1400). pp. 1-21 ISSN 1099-4300 MDPI (2020).&amp;lt;/p&amp;gt;
Effects of Forbush Decreases on Clouds as determined from PATMOS-x

&amp;lt;p&amp;gt;This study examines the relationship between cosmic rays and clouds during Forbush decreases (FDs) to understand the cause-effect relationships between cloud microphysics, cloud condensation nuclei (CCN), and ionisation in the atmosphere. The results of a Monte Carlo analysis of cloud parameters during FDs from newly calibrated satellite data, namely, the Pathfinder Atmospheres Extended (PATMOS-x) from 1978 to 2018, show the connections between some cloud parameters and FDs. For context, FD is the event where, the amount of cosmic rays arriving in the atmosphere decreases and recovers over several days. Other studies have shown that FDs impacted the cloud fraction, aerosol optical depth, CCN, water content, and cloud effective radius (r&amp;lt;sub&amp;gt;eff&amp;lt;/sub&amp;gt; ) in the atmosphere. Using the Monte Carlo analysis, nine atmospheric parameters from the dataset were evaluated for a significant response level to FDs. Each FD event added (after the first event) reduces the noise, but only the strongest events add a significant signal (exceptionally when the 2nd and 5th rank FD data are added, the signal/noise ration dropped due to change of satellite version). We found that cloud fraction shows statistically significant signals following FDs at an achieved significance level of 0.33%. Cloud emissivity also showed highly significant signals from the analysis, however these cannot be determined as physical cause by FDs since the response starts a week before the FDs. In contrast, the cloud optical depth, integrated total cloud water over the entire column, and r&amp;lt;sub&amp;gt;eff&amp;lt;/sub&amp;gt; did not show any significant signals in frameworks of the applied methods. The top-of-atmosphere brightness temperature at nominal wavelengths of 3.75, 11.0, and 12.0 &amp;amp;#181;m and surface brightness temperature were analysed anew and showed significant signals. The estimated brightness temperature changes from a radiative transfer model (Fu-Liou model) show consistent results with the observed changes in cloud parameters during FD events. Among analysed several atmospheric/cloud/aerosol parameters, cloud fraction and the top-of-atmosphere brightness temperature at nominal wavelengths of 3.75, 11.0, 12.0 &amp;amp;#181;m remain the only parameters depicting a statistically significant and correct-phase response to FDs.&amp;lt;/p&amp;gt;
Forecasting Provincial Government Expenditures in Indonesia using Artificial Neural Network

The purpose of this research is to analyze using artificial neural network techniques in predicting the realization of provincial government spending in Indonesia according to the type of expenditure with Back-Propagation. This research needs to be done because it can be seen from the side of realization of provincial government spending in Indonesia that there can be a surplus and a deficit. Therefore, it is necessary to make predictions as an effort to address this. The data comes from the publication by the Central Statistical Agency of the provincial government of financial statistics (BPS). Financial provincial government data was collected through local government financial surveys from provincial government agencies in Indonesia. The analysis process uses the help of Rapidminer software and is validated with K-Fold values from 2 to 10. The data is divided into training data and testing data. Training data is data from 2016-2018 and testing data is data from 2017-2019. Several architectural models were tested namely '3-2-1; 3-5-1; 3-10-1; 3-5-10-1 'to obtain an accurate prediction by considering the value of Root Mean Square Error (RMSE). The results of the back-propagation analysis state that the 3-5-1 model is the best model with an RMSE value of 0.027 at k-fold = 9 for training data and an RMSE value of 0.035 for testing data. These results confirm that the back-propagation algorithm can be implemented in this case.
Changes in the Culture and Arts World and Implications according to the Operation of Domestic and Foreign Culture and Arts Partnerships Focused on Hyundai Motor Company

2000년대 이후 기업의 문화예술 후원은 다원화되었다. 특히 현대자동차는 ‘후원’ 대신 ‘파트너십’ 용어를 사용하면서 쌍방향적 관계를 지향하고자 했고 문화예술 지원 부서인 아트랩을 개설하면서 본격적으로 파트너십을 운영해왔다. 선행연구들은 주로 기업 마케팅의 관점에서 분석됐지만 본 연구는 기업 파트너십을 통해 나타나게 된 문화예술계의 변화와 시사점을 도출 하는 것에 목적을 두었다. 현대자동차의 파트너십 운영을 분석한 결과, 지원금을 제공하던 기존 후원 방식에서 탈피하여 다양한 유형의 후원을 진행함으로써 문화예술계의 지속 가능한 환경을 구축하였다. 그러나 후원의 대상이 유명 작가로 편중 되었고 다른 사업에서도 중복 선정이 이루어져서 그 외의 작가에게 기회가 제공되지 않아 개선이 필요한 부분이다. 비영리를 추구하는 문화예술계 특성상 기업 파트너십에 의존하고는 있지만 최근 코로나 19로 인해 문화예술계가 휴·폐관과 지원액 감소를 겪게 되었다. 따라서 이를 극복할 수 있는 기업과 다양한 형태의 파트너십 활성화가 필요하다.Since the 2000s, corporate support for culture and arts has been diversified. In particular, Hyundai Motor Company expressed its intention to pursue interactive relationships by using the term partnership instead of sponsorship and has been operating partnerships in earnest by opening Art Lab, a culture and arts support department. This study aims to derive changes and implications in the culture and arts community that emerged through corporate partnerships. As a result of analyzing Hyundai Motor s partnership operation, Hyundai Motor has established a sustainable environment in the culture and arts world by breaking away from the existing sponsorship method that provided subsidies. However, it is regrettable that the target of sponsorship was concentrated on famous writers, and other projects were also selected repeatedly, so other artists were not provided with opportunities. Due to the nature of the non-profit culture and arts community, it relies on corporate partnerships, but COVID-19 has led to a closure, closure, and a decrease in the amount of support in the amount of support. Therefore, it seems necessary to revitalize various forms of partnerships that can overcome this.
Hi World: The Virtual Book Learning Integrated Augmented Reality to Increase Knowledge of Covid-19 Prevention in The Learning Process Post-Pandemic Era

This research aims to Improve innovation Hi World integrated with AR, Testing The level of attraction of Hi World, and test the level of Hi World's appropriateness for covid-19 patients. This research method is R&amp;D involving the expert of Covid-19 and digital media. The result from this research are: Innovation of Hi World improved to have a good level of appropriateness with a score of 90%; Level of attraction with this book is good with a score of 95%, and Hi world have design choices that are suitable for the requirement that covid-19 patients needs
Usability Studies in the Electronic Resource Lifecycle

The usability of e-resources and services contributes to library patrons’ use and satisfaction with them, which in turn affects library employees’ acquisition, provision of access, administration, support, and evaluation of e-resources. Librarians can integrate usability into the e-resource lifecycle in a variety of places and using numerous methods. This presentation provides an introduction to usability testing, highlights two usability case studies involving e-resources, and discusses how librarians might fruitfully incorporate usability methods throughout the e-resource lifecycle.
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The Career Development QuarterlyVolume 70, Issue 1 p. 1-1 ISSUE INFORMATIONFree Access Toc First published: 16 March 2022 https://doi.org/10.1002/cdq.12223AboutPDF 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 onFacebookTwitterLinked InRedditWechat Volume70, Issue1March 2022Pages 1-1 RelatedInformation
The WOD framework for weather forecasting

&amp;lt;div&amp;gt; &amp;lt;div&amp;gt; &amp;lt;div&amp;gt; &amp;lt;p&amp;gt;Belgingur Ltd. has created a novel weather forecasting framework, called Weather On Demand &amp;amp;#8211; WOD, that can be deployed in the cloud and customised for any location world-wide at a very short notice.&amp;lt;/p&amp;gt; &amp;lt;/div&amp;gt; &amp;lt;/div&amp;gt; &amp;lt;/div&amp;gt;&amp;lt;p&amp;gt;The WOD framework is a distributed system for:&amp;lt;/p&amp;gt;&amp;lt;ul&amp;gt;&amp;lt;li&amp;gt;gathering upstream weather forecasts and observations from a wide variety of sources&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;triggering scheduled or on-demand jobs&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;running the WRF weather model for data-assimilation and forecasts&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;processing data for long to medium-term storage&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;making results available through APIs&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;making data files available to custom post-processors&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;&amp;lt;p&amp;gt;Much effort is put into starting processing as soon as the required data becomes available and in parallel when possible. The software is maintained in Git and can be installed on suitable hardware in a matter of hours, bringing the full flexibility and power of the WRF modelling system at your fingertips.&amp;lt;/p&amp;gt;
IPS/Zeta correspondence

Our previous works presented zeta functions by the Konno-Sato theorem or the Fourier analysis for one-particle models including random walks, correlated random walks, quantum walks, and open quantum random walks. This paper introduces a new zeta function for multi-particle models with probabilistic or quantum interactions, called the interacting particle system (IPS). We compute the zeta function for some tensor-type IPSs.
A chip-based quantum key distribution system

Integrated photonics presents an opportunity for low-cost, lightweight and highly-reproducible quantum cryptographic systems. We show that incorporating integrated photonics within pluggable modules a chip-based QKD system operating in real time and with highly competitive secure key rates can be realised with room temperature single photon detectors. The pluggable modules also benefit from their ability to be easily upgraded and replaced so that as the technology matures the system performance can be further enhanced. We also show that our system can be used with standard classical cryptography systems enabling secure data transfer at 100G.
Integral Philosophy, Education, Thinking: Policy and Praxis in India

Well elucidated and defined education policy is the most essential criteria for comprehensive progress of all human beings. From the time immemorial it is known that progress can be ushered only through education. A futuristic education policy both at the school and university level is extremely imperative. Countries at the global level have been adopting effective education policies to meet the changing needs of education and society at large. There is a need to shift educational approach from rote learning to understanding, from exhaustive learning techniques to excitement of discovery and towards the joyful exploration. True education must encompass a synchronized working of body, mind and spirit. The ultimate aim of education must be to help the growing soul draw out the best and make it perfect for a noble use. The aim of education is not only to prepare an individual to succeed in life and society, but to reach the optimum. With this background, the paper is attempting at the theoretical level, to study the Integral philosophy, in the light of NEP 2020. It also tries to inquire into the modalities of Integral thinking, propose the application of the same in education and pedagogies to characterize its practice and goals in Integral Education.
Analysis of the features of the formation of the professional image of the teacher

Abstract: The article discusses the author's course of the discipline "Imageology in the practical activity of a teacher" on the topic "Creating a professional image" for teaching students of the humanities at a university. "Imageology in the practical activity of a teacher" on the topic "Creating a professional image". The author's course is aimed at forming a professional image of a teacher, developing a sense of inner self-confidence, his appearance, creating a favorable atmosphere in the team, forming a positive attitude towards himself on the part of students, parents (legal representatives), students and the pedagogical community. It is based on: the theory of image, the theory of motivation, the theory of leadership, the theory of "I-concept", the competence approach in teaching, as well as the ideas of the founders of educational schools in Russia about the personality and the importance of professional development of a teacher. The results of the implementation of the author's course in the educational process of the university are presented. The study involved 73 students of the K.G. Razumovsky Moscow State Technical University, second, third and fourth year, training areas 38.03.03 "Personnel Management", 44.03.02 "Psychological and pedagogical education". To analyze the level of knowledge of the subjects, we have developed a test that includes 23 questions on the topic "Creating a professional image". The experimental group and control groups took part in the testing. To assess the level of formation of the professional image of a teacher, Pearson's Chi-square was chosen to assess the differences between two independent samples by the level of any attribute.