Reviewerly/exHarmony huggingface dataset:
قیاس وتقویم برامج إدارة العلاقات العامة فی حاضنات ومسرعات الأعمال فی الجامعات السعودیة

استهدفت الدراسة فهم قياس وتقويم برامج العلاقات العامة في حاضنات ومسرعات الأعمال في الجامعات السعودية لما تمثله من وزن کبير في ظل برامج التحول الوطني السعودي وعملية دعم التحول التي تعيشها الجامعات السعودية وذلک فيما يتعلق بدعم الموارد المالية وتنميتها من أجل تحقيق الاستدامة والتوازن المالي وتحويل الابتکارات والأفکار الإبداعية الى خدمات ومنتجات، ودعم عملية التطوير المستمرة داخل هذه الحاضنات والمسرعات من أجل الوصول إلى الأهداف المطلوبة.واستخدم الباحثين في هذه الدراسة المنهج الکمي لملائمته لموضوع الدراسة، وتکونت عينة الدراسة من (200) مفردة من منسوبين إدارات العلاقات العامة في الجامعات السعودية من ( ممارسي ، مدراء ، مستشارين)، في 22 جامعة سعودية من أصل 26 جامعة وتوصلت الدراسة الى مجموعة من النتائج : ارتباط إدارات العلاقات العامة في الجامعات السعودية بالإدارة التنفيذية في الهيکل التنظيمي، ضعف البرامج التدريبية المقدمة لمنسوبي ادارة العلاقات العامة ، تسهم إدارة العلاقات العامة في حاضنات ومسرعات الأعمال في الجامعات السعودية في صناعة المحتوى الإعلامي وإدارة حسابات التواصل الاجتماعي الخاصة بالحاضنات والمسرعات في الجامعات السعودية. Measuring and Evaluating Public Relations Management Programs in Business Incubators and Accelerators in Saudi UniversitiesBy: Dr-Bandar AljaidAhmed Khobrany Abstract:The study designed to understand the measurement and evaluation of public relations programs in business incubators and accelerators in Saudi universities due to the great weight they represent in light of the Saudi national transformation programs and the transformation support process that Saudi universities are experiencing in terms of supporting and developing financial resources in order to achieve sustainability and financial balance and transfer innovations and creative ideas. To services and products, and to support the continuous development process within these incubators and accelerators to reach the required goals.In this study the researchers used the quantitative approach to suit the concentration of the study, and the study sample consisted of (200) individuals from public relations departments in Saudi universities (practitioners, managers, and consultants), in 22 Saudi universities out of 26 universities, and the study reached a set of results: the association of public relations departments in Saudi universities to the executive management in the organizational structure, weakness of the training programs offered to employees of the public relations departments, the public relations departments in business incubators and accelerators in Saudi universities contribute to the media content industry and the management of social media accounts for incubators and accelerators in Saudi universities.Key words: public relations - Business Incubators and Accelerators - Entrepreneurship
30 What imbibes trust in chatbot users? A multidimensional view in context to healthcare services during pandemic

<h3>Introduction</h3> Smart technology, like AI-enabled chatbots, has transformed how healthcare consumers (patients) co-create value with their service providers (doctors). However, for effective co-creation, consumers also have to equally integrate their resources (like information). Here, trust plays an important role. If consumers do not trust the chatbots, they will contribute fewer resources resulting in value co-destruction. This dynamic of trust and resource integration is further challenged in uncertain times (like COVID-19). Thus, it becomes imperative to explore the factors that imbibes/abstain trust within chatbot users while consuming healthcare services during a pandemic? This study focuses on this question. Additionally, since trust has two sides (cognitive &amp; affective) and the factors affecting them can act from two different levels of service ecosystem (individual &amp; institutional); therefore the study categorizes the trust factors using a 2 × 2 matrix, i.e., (Individual &amp; cognitive, Institutional &amp; cognitive, Individual &amp; affective, Institutional &amp; affective). There is hardly any study that adopts this multifaceted view of trust factors in AI-empowered healthcare services. <h3>Method</h3> The study uses an inductive qualitative approach, where thirty regular chatbot users were interviewed using a semi-structured interview. Excerpts from the interviews were thematically coded and analyzed (using QSR Nvivo-12). Identified factors are validated using social simulation approach. <h3>Results</h3> The study identifies 16 key factors influencing consumers’ trust in chatbot based on 2 × 2 matrix proposed in this study. To cite a few of them, <i>Cognitive trust factors</i>: perceived knowledge, level of task orientation in interaction, level of automation; <i>affective trust factors</i>: avatar like presence, level of emotional support offered, perceived honesty &amp; ethics, perceived security &amp; privacy. <h3>Conclusion</h3> The results show that consumers phenomenologically process the trust in chatbot usage getting influenced both cognitively and emotionally at multiple levels. Thus, practitioners should accordingly plan the ‘trust-building strategy’.
A Digital Corpus of St. Lawrence Island Yupik

St. Lawrence Island Yupik (ISO 639-3: ess) is an endangered polysynthetic language in the Inuit-Yupik language family indigenous to Alaska and Chukotka. This work presents a step-by-step pipeline for the digitization of written texts, and the first publicly available digital corpus for St. Lawrence Island Yupik, created using that pipeline. This corpus has great potential for future linguistic inquiry and research in NLP. It was also developed for use in Yupik language education and revitalization, with a primary goal of enabling easy access to Yupik texts by educators and by members of the Yupik community. A secondary goal is to support development of language technology such as spell-checkers, text- completion systems, interactive e-books, and language learning apps for use by the Yupik community.
Upaya Meningkatkan Keterampilan Membaca Cepat dengan Menggunakan Metode P2R dan Question pada Siswa SMA Negeri 1 Leces Kabupaten Probolinggo

This study aims to improve speed reading skills by using the P2R method and questions with a horizontal pattern in class X MIPA 4 SMA Negeri 1 Leces. This research method uses classroom action research. This research data collection technique using tests, observation, interviews and documentation. Meanwhile, the data analysis technique used qualitative and quantitative analysis. The results of this study indicate an increase in the process of learning to read quickly to find the main idea of paragraphs using the P2R method and questions with a horizontal pattern. The results of the increase in speed reading skills from pre-cycle to cycle I reached an average of 52.88% or 185 kpm, an increase of 4% so that it became 56.88% or 199 kpm. Meanwhile, cycle II also increased by 21.9% from an average of 52.88% to 74.78% or 261 kpm. This shows that the increase in speed reading skills from pre-cycle, cycle I, and cycle II has increased good results.
Enhancing 11th Graders’ Reading Comprehension by Using Making Connection Technique

Reading is a comprehending process that involves complex steps. Despite the important role of reading comprehension, many researchers indicate that the students’ reading comprehension skill is not satisfactory yet. This situation is also found in MAN 3 Malang. The students were found to have difficulty in comprehending the reading text because of low ability in reading, especially in drawing on their prior knowledge. Thus, the researcher implemented the Making Connection Technique in the reading lessons in collaboration with the classroom teacher. This technique has several steps; they are text to text, text to self, and text to world. The design of this research was Classroom Action Research covering four stages; they were planning, implementing, observing, and reflecting. The subjects of the study were 29 students of class XI SCIENCE 1 of MAN 3 Malang. The instruments used to collect the data were students’ reading comprehension pre and post-test), observation checklist, and field notes. Since the researcher aimed to know whether the technique helped the students in both the lower and upper groups, this research is successful if there was a significant improvement from their pre and post-test scores. The findings of this study revealed that by using the Making Connection technique, the student's reading comprehension scores had achieved the criteria of success. The students also showed a positive attitude during the implementation of the technique. The several procedures of using the technique found are (1) making text to text-connection in the group, (2) making text to self-connection in the group, (3) making text to world-connection in the group, and (4) having a class discussion related to the results of their discussion. Based on the research findings, the researcher suggested English teachers to implement the making connection technique in more interesting ways. Future researchers can investigate the use of making connection technique for other research purposes
Morphological Skip-Gram: Replacing FastText characters n-gram with morphological knowledge

Natural language processing systems have attracted much interest of the industry. This branch of study is composed of some applications such as machine translation, sentiment analysis, named entity recognition, question and answer, and others. Word embeddings (i.e., continuous word representations) are an essential module for those applications generally used as word representation to machine learning models. Some popular methods to train word embeddings are GloVe and Word2Vec. They achieve good word representations, despite limitations: both ignore morphological information of the words and consider only one representation vector for each word. This approach implies the word embeddings does not consider different word contexts properly and are unaware of its inner structure. To mitigate this problem, the other word embeddings method FastText represents each word as a bag of characters n-grams. Hence, a continuous vector describes each n-gram, and the final word representation is the sum of its characters n-grams vectors. Nevertheless, the use of all n-grams character of a word is a poor approach since some n-grams have no semantic relation with their words and increase the amount of potentially useless information. This approach also increase the training phase time. In this work, we propose a new method for training word embeddings, and its goal is to replace the FastText bag of character n-grams for a bag of word morphemes through the morphological analysis of the word. Thus, words with similar context and morphemes are represented by vectors close to each other. To evaluate our new approach, we performed intrinsic evaluations considering 15 different tasks, and the results show a competitive performance compared to FastText. Moreover, the proposed model is $40\%$ faster than FastText in the training phase. We also outperform the baseline approaches in extrinsic evaluations through Hate speech detection and NER tasks using different scenarios.
PENGARUH MODEL PEMBELAJARAN PBL DAN SNOWBALL THROWING TERHADAP PRESTASI DAN MOTIVASI BELAJAR SISWA DI SMK N 2 WONOSARI

The purpose this research to determine the effect of the use of the Snowball Throwing learning model and the Problem Based Learning (PBL) learning model on student achievement, and determine the effect of using the Snowball Throwing learning model and Problem Based Learning (PBL) learning model on student motivation. Data collection techniques used in this study were using tests and questionnaires. The instrument validation test uses construct validation and content validation is conducted by the thesis supervisor. The results showed that the first research hypothesis stated Ha was accepted and Ho was rejected. The average value of PBL class learning achievement is 78.34 and Snowball Throwing class is 83.61. Thus the Snowball Throwing learning model has a positive effect on student achievement. For the second research hypothesis states Ha is rejected and Ho is accepted. Thus the Snowball Throwing learning model does not have a positive effect on the level of student motivation. The average value of PBL class learning motivation level is 75.40 and Snowball Throwing class is 72.68.
Influent property forecasting of sewage treatment based on big data analysis approach

Abstract Precise influent property forecasting is very important to maintain the stable operation of sewage treatment procedure. A big data analysis method of combining the wavelet packet transform (WPT) and adaptive network-based fuzzy inference system (ANFIS) is reported to solve this problem. In this approach, the WPT is used to decompose the influent property data in different cycles. The time sub-series, which are results of wavelet coefficients reconstruction, are employed to establish the forecasting system. The forecasting sub-results of each cycle are eventually integrated into an overall forecasting result. Furthermore, chaos theory is introduced to obtain the input structure of the multi-cycle regression models. The reported approach is verified by the historical influent property. A back propagation neural network and the standard ANFIS are used for a comparison test. The results demonstrate that the reported method has best ability in the peer models.
The Correlation Between the Knowledge Improvement on Early Identification of Speech Disorder in Children Under 3 Years and the Motivation of the Posyandu Cadres Through the Dissemination of Degabbi Poster

The purpose of this study was to find out the knowledge level of posyandu cadres on the detection of speech disorders in toddlers and the relationship between the knowledge and their motivation to redisseminate it through a poster of speech disorders detection in toddlers (DeGaBBi).The research method was cross sectional design involving cadres from Rusunawa Health Center in Bandung, Indonesia.The statistical analysis using Pearson Product Moment was performed.The results showed that the average value of knowledge increased by 32.40%.Meanwhile, the motivation was shown by 88,7% cadres through their maximum scores of the questionnaires.Regression analysis between the knowledge and motivation explained that the improvement of knowledge had a positive impact, although the correlation category was very weak (r=0,052).Knowing that the motivation of the cadres to redisseminate the poster was good and only had a weak correlation with their level of knowledge, then further activities are to evaluate the content and display of the poster and to write a dissemination module to make the following dissemination more effective and the poster very understandable.Finally, the revised poster can increase the knowledge of the cadres comprehensively.Therefore, cadres are able to perform the early detection optimally.
The Album of Library Universe

Review of the book: Eduard R. Sukiasyan. The Library. Book. Reader : selected articles of 2005–2020 / E. R. Sukiasyan. − St. Petersburg : Professija, 2020. − 480 p. [In Russian]. The reviewer considers the book to be the Album of Library Universe. i.e. of the world of book culture of modern Russia. Eduard R. Sukiasyan is a distinguished library scientist. In his book, he openly shares his sincere thoughts on cultural and philosophical problems and paradigms, his reminiscences, practical experience and social emotions. The articles are united by the principle of noospheric humanism characteristic to library humanistic, devoted and enlightened library consciousness. In conclusion, the reviewer analyzes the relationship between the Library Universe and Russia’s national goals.
Инфинитивне прилошке финалне конструкције обавезне контроле у италијанском језику

This contribution intends to probe, in the context of generative grammar, the types of mandatory control in the final adverbial infinitive constructs in the Italian language. Based on the analysis carried out on examples taken from the Coris corpus as well as those taken from the Italian electronic and paper media, we can conclude that the mandatory control in the final adverbial infinitive constructs can be complete, partial or divided. In the cases of complete and divided control the semantic and morphological value of the silent subject (PRO) is identical. In the contexts of partial control semantically PRO is always in the plural while morphologically it can be in the singular when its partial controller is in the singular.
The study of comparisons of Muraqabah (self Control) Students Student boarding schools of Jagad 'Alimussirry with the students in the UNESA

The purpose of this research was to analyze the difference in self control students studentboarding schools of Jagad 'alimussirry with the students in the UNESA. This research is both aquantitative approach to the field (field research). Determination of the sample in this research wasconducted with a purposive sampling technique. Based on the engineering samples taken as many as105 subject, 18 students from boarding schools of Jagad ' alimussirry and 87 of the students fromseveral departments. Data collection was done through the dissemination of the scale. The dataanalysis used the t-test is a test that is independent sample test with the help of SPSS (StatisticalProduct and Service Solution) 23.0 version for windows. The results can be seen from the results of atest of the hypothesis gained 0.106 significance so (p &gt; 0.05). This result shows that shows that Ho isaccepted which means no difference a change or an increase in the average value of self control wassignificant between a group of students and students from various PPJA majoring in UNESA.
Business Digital Transformation: A Study to Evaluate the Current Digital Operating Model in Saudi Airlines Company to Realize the Impact of Digital Transformation

Nowadays, digital transformation is a must for most organizations. It is a trend and interesting topic for companies across the world. During the past twenty years, technology has not only changed our personal lives but also changed the businesses around the world. Technology became the most important factor to the success and sustainability and the fast revolution of technology is changing the business industries environment and affecting the nature of competition and it is getting more aggressive. Digital transformation is one of the essential programs to achieve the vision of Saudi Arabia 2030. The kingdom has taken real steps towards implementing digital transformation. However, SAUDIA Airlines, the flag carrier and the biggest airline company at Saudi Arabia, has to be digitally transformed to be in-line with industry trends. The challenge is to transform SAUDIA’s entire digital experience into seamless experience to keep up with the competition. MIT-Capgemini digital transformation framework was the base of this study. The framework contains ten factors for successful digital transformation journey. All these factors have been analyzed and discussed. Finally, Interpretive Structural Modeling (ISM) has been used to prioritize the factors of framework and to define factors’ dependencies among each other.
Aspects of the common implications in time and metric in collective free improvisation in the recorded work: Musicking Shapes.

During the production of Eduardo Lopes’ record Musiking Shapes, several aspects were identified that suggested an unpremeditated collective consciousness in aspects such as metrics and pulse, in a work that was based on unconventional notation, without any time-related indication. The intention was to identify a kinetic of collective pulse with common time and metric implications. The methodology applied involved auditory observation through spectrograms and the respective transcription in the musical notation of the recorded music. When triangulating these data, substantial results of the communication that underlies the interpretation of this unconventional notation were found. It was possible to prove an effective organization through what we call Prevalent Sound Events (PSE) and that these are determining factors for the collective organization that typifies musical discourse, consubstantiating the spontaneous organization of these moments in Vertical Agreement Sound Events, Horizontal Agreement Sound Events and Absolute Agreement Events
Technology, Metadata and Mannix Library Special Collections

This paper discusses the varying metadata and technical standards used with Mannix Library’s special collections, specifically descriptive standards, the MARC standard, the Dublin Core Metadata Element Set in use with the University of Divinity’s CONTENTdm repository and tools such as Mirador, Omeka and the services they interact with. The paper merges and expands on a virtual conference presentation for ANZTLA Virtual Mini-Conference 2020 and several posts for a pre-conference cataloguing workshop.
An Automatic Segmentation of Lung Structure Using Active Contour Model and Fuzzy Clustering Algorithm

The aim of this paper was to develop an active contour model based on a region and a Fuzzy C-Means (FCM) technique for lung nodule segmentation. In the end, the mortality rate is increased by detection and assisted diagnosis of nodules at an earlier stage. Computed tomography (CT) is the most sought after among many imaging modalities because of its image sensitivity, high resolution and isotropic acquisition. The suggested technique focuses on CT image acquisition, lung parenchyma reconstruction and segmentation of lung nodules. Using selective binary and Gaussian filtering with a new signed pressure force function (SBGF-new SPF) and clustering methods for nodule segmentation, parenchymareconstruction can be used.The benefits of the proposed approach in terms of reduced error rate and improved measure of similarity are demonstrated by comparative experiments.
Construction and Application of the User Behavior Knowledge Graph in Software Platforms

The analysis of user behavior provides a large amount of useful information. After being extracted, this information is called user knowledge. User knowledge plays a guiding role in implementing user-centric updates for software platforms. A good representation and application of user knowledge can accelerate the development of a software platform and improve its quality. This paper aims to further the utilization of user knowledge by mining the user knowledge that is implicit in user behavior and then constructing a knowledge graph of this behavior. First, the association between a software bug and a software component is mined from the user knowledge. Then, the knowledge entity extraction and relationship extraction are performed from the development code and the user behavior. Finally, the knowledge is stored in the graph database, from which it can be visually retrieved. Relevant experiments on CIFLog, an integrated logging processing software platform, have proved the effectiveness of this research. Constructing a user behavior knowledge graph can improve the utilization of user knowledge as well as the quality of software platform development.