Reviewerly/exHarmony huggingface dataset:
The Effect Of Posse (Predict, Organize, Search, Summarize, Evaluate) Strategy To The Students’ Ability In Reading Comprehension At Grade I In Sma Swasta Tamansiswa Tapian Dolok

This research is focused on the effect of POSSE (Predict, Organize, Search, Summarize, Evaluate) strategy to the students’ ability in reading comprehension at grade I in SMA Tamansiswa Tapian Dolok. The problem of the research are: (1) Is there any significant effect of using POSSE strategy on students’ ability in reading comprehension narrative text? (2) Is there any significant effect without using POSSE strategy on students’ ability in reading comprehension narrative text? (3) What are the effect of using POSSE strategy on students’ ability in reading comprehension narrative text? The researcher uses the theory (Elin (2016);Fatma (2013);Gomez (2011);Grellet (1999);Pammun (2017);Patel and Jain (2008), Ashadi (2013);Dorn and Soffos (2005);Marlini (2016);Westwood (2001), Knapp and Watkins (2005). The methodology research is quantitative research. The data of this research was collected at grade I in SMA swasta Tamansiswa Tapian Dolok. The researcher used two classes as the sample, where one class was the experimental group and the other one was the control group. The instrument for collecting data was multiple choice for both groups. The data were analyzed by applying T-Test formula. The T-test is higher than T-table (8,86 &gt; 1.67) at the level sigificant is 5% (0,05) with degree of freedom (df) 60 (31+31–2 = 60), it means that there is an affect of using POSSE (Predict, Organize, Search, Summarize, Evaluate) strategy to the students’ ability in reading comprehension. The conclusion is that the students could increase their ability in comprehending narrative text by using POSSE strategy that without POSSE strategy.
STUDENTS’ DIFFICULTIES IN WRITING THESIS OF ENGLISH EDUCATION STUDY PROGRAM IN MUHAMMADIYAH UNIVERSITY OF SUMATERA BARAT

This research is about difficulties faced by the students in writing thesis at eight semester of English Education Study Program of Muhammadiyah University of Sumatera Barat. The purpose of the research is to describe the students’ difficulties in writing the thesis. The participants of this research were eight semester students of English Education Study Program of Muhammadiyah University of Sumatera Barat that consist of 15 students. This research is a descriptive research. It is aimed at describing things as the way and also analyzing the interrelationship of the data. The instrument used in this research was questioner and interview. The questioner is used to find out the students’ difficulties in writing thesis while the interview is used to support the data gotten from questioner. The result of this research shows that there are 13 difficulties faced by students in writing thesis. And the most frequent difficulties is “pouring ideas into scientific writing”. All of the students (15) faced this difficulty.
Assessment and Applicability of Various Elements of Quality Assurance in Histopathology Laboratory: A Study from A Tertiary Care Hospital in Eastern Region of India

Abstract Background Quality control in histopathology is relatively newer concept and less understood because of its subjectivity. Aim: The present study was conducted to assess and determine applicability of the different elements of quality assurance in the histopathology laboratory of a tertiary care hospital in eastern region of India. Material and methods : An observational, retrospective and analytic study for one year and three months was conducted. 2000 samples were selected by simple random sampling including the biopsy specimens and cell blocks received in the histopathology laboratory. Results: Of the 2000 samples, 1880 (94%) were accepted and 120 rejected (6%) due to mainly pre analytical factors. Of the rejected samples, 35 samples (29.2%) were without proper fixative, 48 samples (40%) had incomplete requisition forms, 37 samples (30.8%) had incomplete/ absent clinical history. Lack of adherence to standard tissue fixation protocols were observed in 55 cases (2.75%). Inadequate preventive maintenance and delay in renewal of maintenance contracts were the most common cause of failure of maintenance of equipment. Improper staining was found in 35 cases (1.75%). Grossing of specimens were inadequate in 104 cases (5.2%). Concurrence in diagnosis was found in majority cases (1892 cases, 94.6%). Random case review was done with adequate precision (97.5%) and accuracy (96.6 %). Maintenance of turnaround time was found in most cases (1800 cases, 90%). Conclusion: Standard operating procedures, training of staffs, equipment maintenance, alertness to maintain turnaround time and awareness, proper report documentation and storage are the key factors to successfully uphold quality assurance.
Development of Storyboard Media to Improve Storytelling Skills on The Material Plant Breeding in Elementary School

The world of education today is developing so fast. Students are required to be able to master skills, one of which is storytelling skills. Students' low skills in storytelling are one of the consequences of implementing online learning so far. The purpose of this study is to regenerate and improve storytelling skills in grade VI students at SDN 21 Muara Telang, especially in Plant Breeding material. This research is a research and development (R&amp;D) research that produces products in the form of learning media in the form of storyboards that are tested for effectiveness to increase students' ability to tell stories. The model used in this study is the ADDIE maodel, where the stages include: analysis, design, development, implementation and evaluation. The result of this study is the production of a product in the form of storyboard media that is proven to improve storytelling skills in grade VI students at SDN 21 Muara Telang, Banyuasin regency.
Pengembangan Media Pembelajaran Berbasis Web Google Sites Pada Materi Turunan Fungsi

Google web sites are one of the media created by Google as development, the google web sites themselves are very suitable to be useful learning media because they are easy to operate and do not use coding in the process. The purpose was study develop mathematics learning media assisted by google sites on functional derivative materials that are valid, practical, and have potential effects. The research method used was Research and Development (R&amp;D) with the ADDIE development model consisting of Analysis, Design, Development, Implementation, and Evaluation. The analyzed stage carried out by the researcher was needs analyze, curriculum analyze, media analyze. The design stage was designing products and device. The Development stage create media and performs validation. The Implementation stage conducts media trials to obtain practicality and potential effects. Evaluation stage, where the researcher discusses the value of practicality and potential effects. For data collection technique that researchers use, namely questionnaires, and learning outcomes tests. This research activity was carried out at SMA Negeri 15 Palembang with a total of 26 students. Keywords: ADDIE Model, Development, Google Web sites, Function Derivatives
Is an Explanation a Reason?

Are reasons and explanations the same things? The paper considers explanations and reasons in a range of contexts and identifies similarities and differences in them. It is suggested that, while the two notions are linked in reasoning, there is a difference of focus, with reasons being concerned with more general principles and explanations being concerned with the application of principles to specific instances. However, in a “model-dependent reality”, there can be explanations, but not ultimate reasons.
High speed elliptic curve cryptography architecture for NIST recommended Galois field

Nowadays there is an intense increase in data communications over wireless and wired based networks.Everyday lakhs of transactions happen over the World Wide Web.These transactions have significant data that required confidentiality, validity, and authenticity in data transactions on the openended network [1].Modern security requires the use of cryptographic algorithms because every transaction is associated with a cyberattack.To provide higher security, both asymmetric and symmetric cryptographic algorithms are operated in data transmission for information exchange [2].Asymmetric algorithms are commonly employed in secure communication to exchange and manage keys, whereas symmetric cryptographic algorithms are utilised for high-throughput secure data exchange [3].
Semi-supervised learning from coarse histopathology labels

Ultrasound imaging is commonly used to guide sampling the prostate tissue in transrectal biopsies, followed by detection of cancer through histopathological analysis and coarse labelling of sampled tissue. Ideally, the procedure should be improved by developing machine learning solutions that can identify the presence of cancer in ultrasound images to guide the biopsy procedure. Training a fully supervised learning model using coarse histopathology labels suffers from weakly annotated data which introduce label noise for each image pixel. To address this challenge, we propose a semi-supervised framework for learning with noisy labels. We leverage a two-component mixture model to cluster the training data into clean and noisy label samples based on their loss values. Then, during the semi-supervised training phase, we utilise the well-known MixMatch algorithm which incorporates consistency regularisation, entropy minimisation, and the Mixup regularisation as well as the cross-entropy loss function for noisy and clean sets, respectively. We evaluate the proposed framework with prostate ultrasound data obtained from 71 subjects, while sampling 264 biopsy cores. We achieve balanced accuracy, sensitivity, and specificity of 78.6%, 80.0%, and 77.1%, respectively. In a detailed comparison study, we demonstrate that our proposed framework outperforms the fully supervised method with state-of-the-art robust loss functions.
Development and Validation of Quality Teaching Scale

This study was conducted to develop and validate the instrument 'Quality Teaching Scale" for elementary schools in the province of Punjab, Pakistan. In order to guide the study, two research questions were raised. The population of the study was 29125 8th class students in public elementary schools in the province of Punjab. A sample of 797 elementary students, 386 boys and 411 girls were selected through multi-stage random sampling techniques. The reliability of the instrument was established through Cronbach Alpha statistics which yielded a coefficient of .942. Smart PLS was used to measure the construct validity of the instrument. It was recommended that a quality teaching scale should be used by schools at all levels to know about the real situation of teachers' teaching process and suggest improvement in case of shortcomings.
Translation for International Film Festival Under the Guidance of Functional Equivalence Theory

With the vigorous development of China’s film market, according to the statistics of the State Administration of Radio, Film and Television, China’s urban box office revenue reached 10.172 billion yuan in 2010, ranking among the top 10 in the global film box office market.
AUTOMATIC RELATION EXTRACTION BETWEEN ENTITIES FOR AMHARIC TEXT

This research work primarily focused on the automatic relation extraction between entities for Amharic text using supervised machine learning approach.The Walta Information Centre online archive resources were used to create the studys own corpus, which consisted of 2000 sentences and a reasonable quantity of 30,466 words or tokens. The proposed solution has four processes namely preprocessing, Text labeling, feature extraction and feature selection and Recognition. The tokenization and POS are used as preprocessing. After the text is tokenized and giving POS for each of tokens the next step is text labeling system. For text labeling mechanism BIO scheme is used. The tag features are selected for building the model. The Tag feature consists of name entity type and relation type. The name entity type features are represented by Location (LOC), Organization (ORG) and Person (PER) and the relation type features are identified every word which existed between two entities for instance between location-location relation type or location-organization relation type and all the corresponding entities that are appeared it. Vectorizations are done using DictVectorizer and word2features. Support vector machines and conditional random field machine learning are used to for recognizing the entity relation between Amharic texts. SVM with SGD achieved the weighted precision of 49%, recall 10% and f1-score 13% are scored. SVM with Multinomial Naive Bayes Classifier Algorithm achieve precision of 61%, recall 41% and f1-score 48%.SVM with Passive Aggressive classifier achieved weighted average precision of 55%, recall 19% and f1-score 27%. CRF algorithm achieved precision of 87%, recall 87% and f1-score 86%. The CRF model outperform compared with other SVM algorithms.
Multilingualism in a Post-Literate Society: Philosophical and Cultural Foundations, Methodological and Pedagogical Development of the Multilingual Education Model

The study proposes a conceptual model of post-literacy, multilingualism, and multilingual education in the age of post-literacy and presents models of language communities of world universities, as well as models of linguistic and cultural adaptation of immigrants in EU nations and Russian universities participating in Program 5-100.&#x0D; The researchers analyzed real adaptive practices in Yekaterinburg universities (Ural Federal University and Ural State Pedagogical University) using evidence from Chinese students and employees; studied the formation and development of multilingual communities in universities with full-time and remote acquisition, languages teaching tools and university loyalty formation tools during remote interactions in social networks on the Internet, as well as practices that promote tolerance as a pedagogical value in multilingual educational communities.&#x0D; The research findings include a list of issues in scientific and educational communications in the university’s multilingual space/community in the context of digitalization and expansion of the multilingual community due to the inclusion of speakers of languages other than world languages, as well as a list of issues related to the supply of reading materials corresponding to the level of complex texts of a new nature in the age of post-literacy to provide linguistic education in the multilingual environment. The researchers also offer ways of entry into, existence in, and exit from a temporal multilingual community, as well as continuous renewal and development of such communities.
READINESS OF RURAL INDIA FOR ONLINE EDUCATION

India is a developing country with a large population living below the poverty line in villages. Rural India still lags behind in important modern facilities like high speed internet connectivity, 24 hours power supply and devices necessary for digital transactions. This study was undertaken to explore the availability of services and devices needed for online education. A self made questionnaire was used to collect data.100 families from two villages, near Manauri, located at 20 km away from headquarter of Prayagraj district were the participants. The questionnaire collected information regarding types of houses, source of income, family size, no. of working member, availability of devices needed for online education and its awareness etc. Percentage analysis was done. It was found that socio- economic condition of the families was very poor as 38 % families were living in kaccha houses. Majority (80%) having only one earning member with average income varied from 5000 to 8000 rupees per month. Most (70 %) of them were labourer working on daily wages. Only 35 % children have access to touch phones for academic use.
Care Management in Family Health Strategies from the Perspective of the Nursing Professional: Literature Review

Objective: To elaborate a literature review to learn about the understanding and practice of nurses working in the ESFs regarding health care management. Methodology: This is a qualitative research, with an exploratory character, of the literature review type, with an approach divided into the stages of elaboration of the theme, definition of criteria for inclusion and exclusion of studies, indexing of descriptors in databases such as SciELO, BVS and PubMed, critical analysis and categorization of the literature in the time frame 2019 to 2022. Results: 10 articles were selected that showed that the professional nurse throughout his trajectory has been rediscovering his role through the performance in Primary Health Care, especially, for assistance in the Family Health Strategy, by creating and recreating nursing care in public health, ensuring the promotion, prevention and recovery of collective and individual well-being. Conclusion: It is emphasized that it is important for the professional nurse to understand that managing care in the strategy is to articulate care activities to have a care plan for each user of the services, guided by the policies recommended by the Ministry of Health.
Why Geological Regions?

In most practical applications, we approximate the spatial dependence by smooth functions. The main exception is geosciences, where, to describe, e.g., how the density depends on depth and/or on spatial location, geophysicists divide the area into regions on each of which the corresponding quantity is approximately constant. In this paper, we provide a possible explanation for this difference.
Analyzing Unikernel Support for HPC: Experimental Study of OpenMP

Unikernels are single-application operating systems designed to run as virtual machines. They are popular in the cloud domain and are considered as a good alternative to containers due to the benefits they provide in terms of performance, low resource consumption, and security. This paper investigates the use of unikernels as a platform for HPC applications. The performance and stability of two unikernel platforms (HermitCore and HermiTux) are experimentally evaluated over standard representative HPC OpenMP benchmarks. We observe that unikernels remarkably reduce the overhead due to system calls, leading to a significant speedup (up to 77%) in system-bound applications. For applications that are not system-intensive, there are a few performance differences between the unikernel and the vanilla Linux execution. It should be remarked that modern unikernel projects are not yet fully mature, and exhibit stability issues running some OpenMP benchmarks.
SOKONGAN PENTADBIR DAN FAKTOR KEMUDAHAN MEMPENGARUHI PENGGUNAAN ICT DALAM PENGURUSAN PDPC [ADMINISTRATIVE SUPPORT AND FACILITY FACTORS AFFECTING THE USE OF ICT IN TEACHING AND LEARNING MANAGEMENT]

This study aims to examine the support of administrators and convenience factors in influencing the use of ICT in teaching and learning management. The design of this study is s qualitative method on six teachers randomly selected from six schools in Alor Gajah District. Qualitative data were collected through interviews on simple randomly selected respondents. These qualitative data were analysed thematically. The results of the study found that administrator support, and facilities influence the level of ICT use in teaching and learning management. Improvements need to be made on the existing facilities so that teachers can use them optimally. Administrator support is essential so that teachers can implicate ICT in their teaching and learning management. These findings contribute to the increased use of ICT in the management of teaching and learning by teachers successfully.
THE USE OF SERIAL PICTURE MEDIA IN IMPROVING THE ENGLISH SPEAKING SKILLS OF CLASS XI IPA 1 STUDENTS OF SMA NEGERI 12 SINJAI

This study aims to investigate the development of students English speaking skills using serial picture media. This type of research is classroom action research. Each cycle consists of four stages, namely planning, implementing, observing, and reflecting. The research subjects are 23 students of class XI IPA 1 at SMA Negeri 12 Sinjai. This research study uses observation, documentation, and interviews as data collection tehniques. The colected data is the analysed using descriptive quantitative and qualitative. The indicator of success in this study is that when the 80% of students are able to speak English through the media of serial images. The results of this study indicate that there is an increase in students' English speaking skills through the use of serial pictures at SMAN 12 Sinjai. This is proven by the increase in the average English speaking skills of students in the Pre-action of 60.04%, increasing to 78.08% in the Action Cycle I, and reaching 90.51% in the Action Cycle II. The students' English speaking skills increase after the researcher gave the actions carried out through several stages and processes which are 1) The teacher shows several serial pictures to students and divides them into groups, then explains what to do with these pictures; 2) Students are given the task of speaking English related to the serial picture that they are holding. This activity is carried out alternately between students; 3) Students are given the opportunity to speak English in front of their classmates or online; and 4) The teacher always provides motivation so that students become enthusiastic and enthusiastic in participating in English speaking activities.&#x0D; &#x0D;
Classical Syllogisms as Computational Inferences

The classical categorical syllogisms originated and evolved in times without computers, sensors for vision and audition, and actuators for manipulation and vocalization. Therefore, a sign-based substitution-driven ontology was the only practical option.
Poster: Ensemble Federated Edge Learning for Recommender Systems

Given the explosion of e-services, it has become critical for recommender systems (RSs) to have expected suggestions. Traditional machine learning-based recommending models provide an interface for platforms to find the most relevant items for users. Nonetheless, those models are often trained with user data from a single domain at centralized cloud, which hinders the performance of RSs, causes significant data transmission overhead, and may harm data privacy. To address these issues, in this poster, we propose an ensemble federated edge learning scheme (eFEEL) on the basis of a semi-distributed architecture design. eFEEL aims to efficiently and effectively improve RSs without breaching user data privacy.