Reviewerly/exHarmony huggingface dataset:
SISTEMATIZAÇÃO DA ASSISTÊNCIA DE ENFERMAGEM A PACIENTES EM TRATAMENTO HEMODIALÍTICO

Objective: to identify in the scientific literature about the systematization of nursing care to patients undergoing hemodialysis. Method: This is an integrative review, carried out in the Electronic Library SCIELO, in the database specialized in nursing and in latin american and caribbean literature in health sciences. The descriptors systematization of nursing care, hemodialysis and nursing process were used for search. Results: seven articles were included in the study. Some publications highlight the importance of SAE for the quality of care for patients on hemodialysis, and other publications have pointed out that the constant training of the nursing team is essential for the development of the nursing process in favor of humanization. Conclusion: the Systematization of Nursing Care is characterized by the organization of the care provided directly influencing the positive results to the promotion, prevention and recovery of the health of the individual with renal failure who undergoes hemodialysis treatment.
Transformer-Based Multiview Deep Feature Learning for Action Recognition in Depth Videos

Transformer architectures have recently attracted increasing attention and achieved remarkable success in video action recognition field. However, almost all existing transformer-based methods are applied to RGB video data from a single view, which limits the generalization performance of the transformer model. Human action recognition in depth videos is an important research direction since depth data is not only invariant to illumination and color variations, but also provides reliable 3D geometric information of the body silhouette. In this paper, we extend the transformer architecture to depth video action recognition and propose a transformer-based multiview deep feature learning framework. It mainly consists of an intra-view self-attention encoder module (ISEM) and a cross-view feature fusion module (CFFM). Specially, a depth video is first projected into three orthogonal views to construct multiview depth dynamic volumes that can describe the 3D spatiotemporal evolution of human actions. We feed multiview depth dynamic volumes into 3D CNN for spatiotemporal feature modeling. Based on deep convolutional feature maps of three views, the ISEM learns long-range spatiotemporal dependencies within each view. The CFFM performs inter-view interactions and then integrates cross-view features together to generate a global feature representation, which is finally used for action recognition. Extensive experiments conducted on two large-scale datasets demonstrate the effectiveness of our method to improve the recognition performance in depth videos.
Kernelized Transformed Subspace Clustering with Geometric Weights for Non-Linear Manifolds

The naive assumption of subspace clustering is that the data should be separable into separate subspaces. Another consideration of the conventional subspace clustering methods is the linear manifolds.Â What if, the data doesn't hold this assumption? We propose a novel subspace clustering framework that works even if the raw data is not separable into separate subspaces. It also generalizes it for non-linear manifolds. To achieve the intended goal, we embed subspace clustering techniques into kernelized transform learning with weighting matrix regularization which accounts for nonlinearity. For the weighting matrix, we use similarity between tangent spaces on data manifolds for local structure and Euclidean distances for capturing global geometric structure. The complete optimization problem is solved using alternate minimization. The weighted norm regularization is solved by designing a fixed-point continuation algorithm to obtain an approximate closed solution. To test the performance of the proposed framework, we provide the experimental results on handwritten digits clustering, face image clustering, and motion segmentation. The superiority of the results proves the effectiveness of the weighting matrix in kernelized transformed subspace clustering formulation.
Online Continual Learning with Declarative Memory

Deep neural networks have been enjoying unprecedented attention and success in recent years. However, catastrophic forgetting undermines the performance of deep models when the training data arrive sequentially in an online multi-task learning fashion. To address this issue, we propose a novel method named continual learning with declarative memory (CLDM) in this paper. Specifically, our idea is inspired by the structure of human memory. Declarative memory is a major component of long-term memory which helps human beings memorize past experiences and facts. In this paper, we propose to formulate declarative memory as task memory and instance memory in neural networks to overcome catastrophic forgetting. {Intuitively, the instance memory recalls the input-output relations (fact) in previous tasks, which is implemented by jointly rehearsing previous samples and learning current tasks as replaying-based methods act. In addition, the task memory aims to capture long-term task correlation information across task sequences to regularize the learning of the current task, thus preserving task-specific weight realizations (experience) in high task-specific layers. In this work, we implement a concrete instantiation of the proposed task memory by leveraging a recurrent unit. Extensive experiments on seven continual learning benchmarks verify that our proposed method is able to outperform previous approaches with tremendous improvements by retaining the information of both samples and tasks. For instance, we improve the average test accuracy on CIFAR-10 split from 47.6\% to 81.8\%.
Automating Weight Function Generation in Graph Pebbling

Graph pebbling is a combinatorial game played on an undirected graph with an initial configuration of pebbles. A pebbling move consists of removing two pebbles from one vertex and placing one pebble on an adjacent vertex. The pebbling number of a graph is the smallest number of pebbles necessary such that, given any initial configuration of pebbles, at least one pebble can be moved to a specified root vertex. We present a computational framework that produces a set of tree strategy weight functions that are capable of proving pebbling number upper bounds on general graphs. Our mixed-integer linear programming approach automates the generation of large sets of such functions and provides verifiable certificates of pebbling number upper bounds. We apply the model to the 4\textsuperscript{th} weak Bruhat to prove $\pi(B_4) \leq 66$ and to the Lemke square graph to produce a set of certificates that verify $\pi(L\Hsquare L) \leq 96$.
Impactos da Pandemia da Covid-19 na Formação de Estudantes Concluintes de um Curso de Enfermagem

Objective: to understand the impacts of the Covid-19 pandemic on the training process of students graduating from a nursing course.
The Value of Clinical Breast Examination, Imaging, and Fine Needle Aspiration and the Challenge of Diagnosing Breast Cancer in a Low Resource Setting: A Hospital-Based Analytical Study in Yaounde

Background: Breast cancer is the most common cancer in the world, as well as in Cameroon, where it represents about 20.1% of all cancers recorded in 2020.The number of pathologists in the country is as few as seven for a population of about 26 million.The diagnostic performances of diagnostic modalities other than histology-clinical breast examination (CBE), imaging and fine needle aspiration and cytology (FNA)-in our context are not known.Study Objectives: Our objectives were to estimate the proportions of cases managed with mammography, breast ultrasound and FNA and to estimate the sensitivity, specificity, positive and negative predictive values, and accuracy of CBE, mammography, breast ultrasound and FNA; using histology as reference.Study Methodology: The study was cross-sectional and analytical, and was carried out at the Yaoundé General Hospital.It lasted twelve months, April 2015 through March 2016 and covered the period January 2010 to February 2016.Using histology as reference, we calculated measures of diagnostic accuracy for all four modalities using the statistical methods of Galen and Gambino.Results: We recruited 107 cases, 105 females (98.1%) and 02 males.We had 112 breast lumps, 106 malignant (94.6%) and 6 benign.The mean
Self-Efficacy in the Pre-Gradual Training of Occupational Subject Teachers

The study presents a survey of perceived teacher self-efficacy on a sample of future and beginning Slovak secondary school teachers in two research approaches. The research aimed to find out the perceived professional proficiency of teacher students and future teachers in didactic readiness in the context of positive psychology. The obtained data from both groups were compared with foreign research results in this area.
Effects of Competency Programme for Understanding and Guiding Students with Learning Difficulties on Teacher Efficacy, Teaching Passion, and Empathy of Pre-Service Teachers

Education for pre-service teachers should focus on developing the competencies necessary to understand and practice learners’ cognitive and emotional characteristics. In this study, after applying the competency programme for understanding and guiding students with learning difficulties to pre-service teachers, the effects of the programme on teacher efficacy, teaching passion, and empathy were verified. As a result, it was found that participating in the experimental group to which the competency programme was applied was more effective than the control group in enhancing teacher efficacy, teaching passion, and empathy of pre-service teachers, and discussion and suggestions were provided.
Organisation of the Educational Process Through the Technology of Blended Learning

The article has determined that the introduction of mixed learning is not only the transfer of many elements of the educational process into the electronic environment but also the design of a professionally-oriented educational environment of universities and the instructional design of electronic courses. The hybrid electronic course of the discipline “Digital technologies in education and research” by the principle of the backward design was developed and tested. The given examples of students’ creative work were submitted in the form of projects, websites, blogs, web quests, and online conferences. Presents the main tips that need to be followed for effective development and implementation of blended learning.
Perceived Organisational Climate in Slovak Vocational Schools

The proposed paper presents the results of a research study on the perceived organisational climate in Slovak vocational schools. The authors focus on the association between school openness and the quality of social relationships within institutions as perceived by teachers. The adapted version of the OCDQ-RS scale by Hoy, Tarter, and Kottkamp (1991) was used in the research. The results show that intimate teacher behaviour and positive relationships at work are important for the perceived organisational climate, which is an important finding for school leaders, especially in the context of the leadership style they apply.
Integration of Students’ Soft and Hard Skills in Automotive Vocational and Technical Schools

The article presents the author’s integrated course, which is directly aimed at the parallel development of students’ soft- and hard-skills who master the profession in the automotive industry. Hard skills formation requires the acquisition of professional knowledge and implementation of instructions that can be tested through the exam. In contract, softskills include general, supra-professional skills (social, intellectual and volitional competencies, sociability, teamwork skills, leadership skills, creativity, punctuality , emotion management skills, etc.). In the coming years, significant changes are forecast in the automotive industry, in the design of heat engines, aimed not only at their improvement in particular, but also at the use of fundamentally new designs and types of engines. Under such conditions, a significant number of specialists will be forced to retrain, in the process of which fundamental training, the formation of softskills in particular, should be a significant help. It is covered a long time to quantify the effectiveness of the integrated special course, and three leading softskills (critical thinking, creativity and cognitive flexibility) are identified. It is concluded that the integration of softand hard skills is an effective means of developing knowledge, skills and thinking, which contributes to improving the professionalism of professionals. The study of the proposed author’s course gives positive changes in the professional competence of future automotive professionals.
Methods of Forming the Future Designers’ Readiness for Professional and Scientific Research Activities

The authors state that the rapid penetration of design into every field of human life, the convergence of material production with art, the development of design technologies, and increasing the social impact of design have significantly heightened professional requirements for modern designers. However, the modern system of design education does not prepare students for the challenges they will face in the nearest future. The methodological approaches necessary for improving future designers’ professional training quality are determined. The empirical investigations on the future designers’ readiness for professional and scientific research activities are analysed. Methods of boosting the future designers’ ability to carry out scientific research and organising professional design activities are offered.
An Analysis of English Teachers’ Strategies in Opening the Lesson in the Classroom

This research analyzed the strategies used by English teachers in opening learning at SMA N in Bengkulu Selatan. This study aims to find out the most prevalent strategy for opening lessons used by English teachers and why the English teachers choose those strategies in opening learning. The approach used in this research is qualitative with a descriptive research type. The subjects in this study were thirteen English teachers from five SMA N in Bengkulu Selatan. The instruments used in this research were observation checklists, interviews, and documentation. The data were analyzed using data reduction, data presentation, and conclusions. The results showed that the most dominant strategies used by English teachers in opening learning at SMAN N Bengkulu Selatan were focusing attention and arousing students' interest, and generating student motivation. Teachers used those strategies to attract the students' attention and encourage students to be more involved in the learning process. This strategy is believed to be able to create a good relationship between teachers and students.
PENGARUH MEDIA BUKU BERGAMBAR TERHADAP MINAT BACA SISWA KELAS II SD NEGERI 101797 DELI TUA

This study aims to determine the effect of picture storybook media on reading interest in second grade students of SD Negeri 101797 Deli Tua. The population in this study were all second grade students, totaling 30 students. While the sample amounted to 30 students. This research is a quantitative research with the type of pre-experimental research with One Shot Case Study design. The instrument used in this research is a questionnaire. From the results of the research analysis the influence of picture book media on the reading interest of second grade students of SD Negeri 101797 Deli Tua is 0.709 which shows high results. This can be seen from the correlation between variable X (picture books) and variable Y (interest in reading).
The Use of Mediated Instruction of Text (MIT) Strategy in Teaching Reading Comprehension

The study was aimed to find out if there is a significant difference between the eighth grade students of SMP Negeri 13 Banda Aceh who are taught reading comprehension by MIT strategy and those who are taught without using MIT strategy. This study belonged to experimental study. The population of this study was all of the eighth grade students of SMP Negeri 13 Banda Aceh in the academic year of 2017/2018. The total population was 151 students who were composed of five classes; class VIII1, class VIII2, class VIII3, class VIII4, and class VIII5. The sample of this study was taken randomly with the total of 70 students, 35 students in experimental group and 35 students in control group. Choosing class as experimental and control group was also done randomly. The data were gotten through test; pre-test and post-test. The data were analyzed by using SPSS 18.0. The result of the study showed that there was a significant difference between the eighth grade students of SMP Negeri 13 Banda Aceh who are taught reading comprehension by using MIT strategy and those who are taught without using MIT strategy. It can be proven from the result of this study, where the result of t-test of post-test for both group was 3.07. While the result of t-table with the level of significance 0.05 was 0.67. Thus, t-test (3.07) was greater than the t-table (0.67). Based on the result of the study, English teachers of SMP Negeri 13 Banda Aceh, especially those who teach reading comprehension, should implement MIT strategy in teaching and learning process because the implementation of the strategy can increase the students’ reading comprehension mastery.
PENGEMBANGAN BUKU CERITA BERGAMBAR BERBASIS NILAI-NILAI KEPEDULIAN UNTUK PEMBELAJARAN MEMBACA SISWA KELAS III A SD NEGERI 106836 LIMAU MANIS

This study aims to develop a picture story book based on caring values ​​for learning to read for class III SD Negeri 106836 Limau Manis. This study uses the Borg and Gall development model according to Sugiyono which consists of five stages, namely potential and problems, data collection, product design, design validation, design revision. The data collection technique used in this development is in the form of a questionnaire. Data analysis techniques used are qualitative data analysis techniques and quantitative data analysis techniques. The results of the study show that picture story books based on caring values ​​for grade 3 elementary school students are feasible to use. The assessment according to the Indonesian language expert lecturer got an average score of 4.82 with a category (very good) and from class III A teachers got an average score of 4.76 with a category (very good) from both Indonesian language expert validators and class III A teachers can be totaled on average The average score is 4.79 in the "very good" category. With the response of experts that picture story books are very interesting, easy to understand and can be used as material for learning to read.
SISTEM PREDIKSI ATURAN STOCK OBAT DENGAN METODE ITERATIVE DICHOTOMISER (ID3)

Pharmacy has a lot of transaction data on the distribution of pharmaceutical supplies, &#x0D; especially drug management. There are several obstacles that occur in the drug supply &#x0D; management system at this pharmacy, one of which is the accumulation of drug stock, &#x0D; where pharmacists find it difficult to determine what drugs should be in stock or not in stock. &#x0D; In order to avoid the accumulation of drugs that exceed the user limit (expired) which will &#x0D; result in losses for pharmacies. For this reason, the authors want to deal with these &#x0D; problems through the Design of a web-based Drug Inventory Prediction Information System &#x0D; using the Itertive Dichotomiser Algorithm method which will predict the stock of drugs that &#x0D; are expected to manage drugs at pharmacies to be wiser in choosing products to sell. In &#x0D; designing information systems Supporting software is also used, namely PHP and MYSQL &#x0D; databases. The final result of this research is, with this information system, it can help &#x0D; pharmacists in supporting drug management so that they can be more selective in choosing &#x0D; the items to be purchased for sale so as to minimize losses that will occur in pharmacies. &#x0D;
From Pedagogical Practice to Pedagogical Excellence: Cooperation of Kyiv National Linguistic University with General Secondary Education Institutions

We will inform you about our cooperation with the partners - Ukrainian universities and general secondary schools.
PENERAPAN MODEL PEMBELAJARAN MAKE A MATCH DALAM MENINGKATKAN KETERAMPILAN MENULIS TEKS PROSEDUR PESERTA DIDIK KELAS XI SMA NEGERI 16 BULUKUMBA

This study aims to determine the improvement of writing procedural text skills in participants through the application of the Make a Match learning model to Class XI students of SMA Negeri 16 Bulukumba. This research is a classroom action research that was carried out for two cycles, each cycle consisting of four stages, namely: planning, implementation, observation or evaluation, and reflection. Data collection techniques used in the form of tests and non-tests. The test technique is in the form of a procedure text writing test which is carried out at the end of each cycle. While the non-test technique is in the form of observing student activities in each meeting, observing attitudes in each cycle, and documentation. The results showed that there was an increase in the procedural text writing skills of Class XI students of SMA Negeri 16 Bulukumba by applying the Make a match learning model, this was seen in the students' learning mastery which increased significantly in the second cycle compared to the first cycle. The test results in the first cycle were obtained. The results were 10 students (31.2 percent) who scored in the complete category and 22 students (68.8 percent) who scored in the incomplete category. While in the second cycle, 26 students (81.3 percent) completed and 6 students (18.7 percent) did not complete. classical completeness of Indonesian learning outcomes is 81.3 percent. Based on the results of this study, it can be concluded that the Make a match learning model is proven to be able to improve procedural text writing skills.
DISCOURSE ANALYSIS ON SBY’S INTERNATIONAL SPEECH TEXT: A STUDY ON CRITICAL LINGUISTICS

This study dealt with critical discourse analysis of SBY’s international speech text. The objective of this study was to describe social cognition, ideology, and social context used by SBY in his international speech. This study was conducted by applying descriptive qualitative design. The data of this study were taken from SBY’s international speech text. The texts were analyzed by using Van Dijk’s discourse analysis concept by classifiying the elements of the text into Van Dijk’s table. Based on the study, it was found that the social cognition used was the event social cognition, ideology used was the ideology of Pancasila democracy, and the social context used was the diction in accordance with the social status of the invited guests. It could be concluded that the diction chosen by SBY was adjusted to the social status of the guests who were present in the 19th ASEAN Summit and also represented interests of people.
Evaluating Teachers In Higher Education Using WASPAS Method

To practice teaching under teacher supervision Must complete student teaching.A In community colleges for professors or asst To teach classes as professors At least a master's degree is required, but four Annual Institutions and Tenure Posts Most professors have a Ph.D. should be.Today's colleges and universities face unprecedented challenges and threats.This Declining enrollment, rising costs
AD system validation

dSpace has joined forces with 25 research and industry partners to tackle two research projects aiming to validate AD systems