Reviewerly/exHarmony huggingface dataset:
Prevalensi anomali jumlah gigi ditinjau dari radiografi panoramik di RSGM UNHAS Makassar

Objectives: Abnormalities in the number of teeth is a change of dental structure that arises from abnormalities during tooth formation, can be due to congenital or growth. For anomalies, the number of teeth consists of anadontia and supernumerary teeth. This research is aimed to obtain a general picture of the prevalence of abnormalities in the number of teeth in terms of panoramic radiographs at RSGM UNHAS. &#x0D; Material and Methods: This type of research is observational descriptive and the design of this study is Cross Sectional Study. The research subjects were all panoramic radiographic photo data in the Teaching and Mouth Hospital of Hasanuddin University in the last 1 year. Data is processed in tables and diagrams. &#x0D; Results: The results showed that the majority of anadontia prevalence by sex occurred in women, as a breakdown of hypodontia with a presentation of 68.04%, oligodontia with a presentation of 26.93%, and anadontia with a presentation of 5.21%. The prevalence of anadontia based on the majority age group occurs in the adult age group, as a breakdown of hypodontia with a presentation of 77.73%, oligodontia with a presentation of 21.40%, and anadontia with a presentation of 0.87%. The prevalence of anadontia by month occurred at most in August 2018 with 70 people, while the lowest number was in July 2018 with 1 person. The prevalence of supernumerary teeth based on the majority sex occurs in male patients with a total of 4 people, as detailed mesiodens with 25% presentation, laterodens with 75% presentation, and no distomolar. &#x0D; Conclusion: The prevalence of anomaly deficiency in the number of teeth by sex is most experienced by women, the prevalence of supernumerary teeth is more experienced by men. When viewed from the age group, abnormalities in the number of teeth are most experienced by the adult age group and supernumerary teeth are most experienced by the adolescent age group. &#x0D;
Efektifitas Latihan Integrasi Visual Motorik terhadap Kemampuan Kesiapan Menulis Anak Attention Deficit Hyperactivity Disorder (ADHD)

Background: Attention Deficit-Hyperactivity Disorder (ADHD) is a behavioral disorder characterized by inattention, hyperactivity, impulsivity that affected to the children’s occupational performance in their activities. Individuals suffering from this disorder have a delayed development of visual-motor integration, difficulty participating in learning activities including writing readiness and poor academic progress. This research aims to (1) determine the effect of visual-motor integration activity interventions on writing readiness in ADHD children (2) find out the demographics of ADHD children based on age, gender and education. Methods: The design of this study was conducted a one group pre-experimental study using a pretest -posttest design. Samples were taken by purposive sampling technique. There were 35 samples consisting of 15 women and 20 men. The research instrument was the Beery DTVMI. Data analysis with paired parametric comparison test (paired sample t-test). Results: This study are (1) visual-motor integration activity interventions have a positive and significant effect on the writing readiness in ADHD children (p = 0,001). (2) ADHD children in YPAC Surakarta Occupational Therapy Clinic is dominated at the age of 5-6 years (54.3%). (3) Most of the ADHD children in the YPAC Surakarta Occupational Therapy Clinic were male (57.1%). (4) The education level of ADHD children in Surakarta YPAC Therapy Occupational Clinic was at the kindergarten level (51.4%). Conclusion: This study is visual motor integration activity interventions be able to improve writing readiness in ADHD children.
The Integration of Culture and Local Wisdom in Indonesian Language Teaching For TISOL

Indonesia has various forms of culture and local wisdom that are spread throughout the region.Culture and local wisdom can be used as interesting teaching material.In this paper, we will explain the great potential of Indonesian culture and local wisdom which can support and support the implementation of Indonesian language learning for foreign students and also TISOL.The method used in this research is descriptive qualitative.The data collected in this paper is in the form of local culture and culture that can support Indonesian learning for foreign speakers as well as good responses from foreign speakers related to culture and local wisdom in Indonesia.The results of this study are in the form of exposure to the interest of foreign students in the form of culture and local wisdom in Indonesia.Indonesian language learning for foreign speakers will be more optimal and run smoothly by using cultural integration and local wisdom in Indonesia.Thus, students can understand Indonesian well and also learn to know Indonesia through diverse forms of local culture and wisdom.
Is this hotel review truthful or deceptive? A platform for disinformation detection through computational stylometry.

In this paper, we present a web service platform for disinformation detection in hotel reviews written in English. The platform relies on a hybrid approach of computational stylometry techniques, machine learning and linguistic rules written using COGITO, Expert System Corp.’s semantic intelligence software thanks to which it is possible to analyze texts and extract all their characteristics. We carried out a research experiment on the Deceptive Opinion Spam corpus, a balanced corpus composed of 1,600 hotel reviews of 20 Chicago hotels split into four datasets: positive truthful, negative truthful, positive deceptive and negative deceptive reviews. We investigated four different classifiers and we detected that Simple Logistic is the most performing algorithm for this type of classification.
Feasibility of Delivering a Mobile Nutrition Literacy Intervention via Pediatric Primary Care

The objective of this pilot study was to test the feasibility of implementing a mobile health intervention, “Nutricity,” within pediatric well-care and explore outcomes on child diet quality, child BMI and parental nutrition literacy. Participants in this single-arm intervention pilot study were 18 parent-child dyads recruited from pediatric primary care before a scheduled well-care visit. Parents were English-speaking, identified as primary food decision-maker, had internet access at home, and owned a web-enabled device; children were 1–5 years old with unrestricted diets. Dyads were given three months’ access to Nutricity mobile tools during the child's well-care visit and were guided on use. Nutricity tools included a mobile formatted website to access instructional videos, games for kids, and quizzes for parents, and weekly text messages for nutrition goal setting. Content was focused on applying nutrition information at supermarkets, home, and restaurants. Feasibility was evaluated by % completion, parent likability survey, website usage, and % text responses logged. At baseline and three months, parent nutrition literacy (Nutrition Literacy Assessment Instrument, NLit); diet quality (2,24-hour diet recalls used to calculate a Healthy Eating Index, HEI – 2015 score), and BMI were collected with differences analyzed by paired t-tests. Of 18 dyads enrolled, 17 (94%) completed the study. Parents rated likability of the website and text messages as ‘good-excellent,’ reporting they applied ‘half-most’ of goals set through text-messaging. A common emergent theme was need for more individualized text messages. Mean response rate to text messages was 62%, and dyads logged an average of 43.7 minutes and 5.2 sessions on the website. Non-significant improvements were seen in parent NLit and overall child HEI scores, and no difference was seen in child BMI. However, HEI component scores improved for dairy by 1.2 points (P = .055) and seafood/plant proteins by 1.3 points (P = 0.046). Delivering Nutricity via a pediatric well-care visit is feasible and demonstrated potential for improving child diet quality. A larger, adequately powered study is warranted. This work was funded by a CTSA grant from NCATS and the School of Health Professions.
Development of the research potential of a student’s personality: domestic and foreign experience

The paper considers the need to develop the research and creative potential of students in the conditions of a dynamically developing modern society and the job market, which necessarily require new approaches to the education of young people.It is noted that this work should be carried out from an early age.The driving force for the implementation of society's demands and challenges in solving life and professional tasks can be the presence of a formed and developed scientific and creative opportunities of each person.The study of domestic and foreign psychological and pedagogic practices, empirical pedagogical experience has allowed to draw conclusions that structural-genetic approach as a methodological basis for studying the problems of development of students' research potential allows to see the "evolution of ideas about children's intellectual and creative giftedness", it is shown that the development of software and scientific and methodological support for the development of the research and creative potential of students under the conditions of basic and additional education contributes to the mastery of universal and other methods of educational actions.Effective models and forms of developing the creative potential of students at different levels of education in different types of educational institutions, both in Russia and in foreign countries, are shown.The author emphasizes that the implementation of these models improves the quality of educational services.The research study aims to classify the teaching experience of domestic and foreign educational institutions for the development of student's research and creative performance.It must be done as the development of society is characterized by dynamism, the new types of creativity in living environment, the need to solve creative tasks in life and in the career.Therefore, from the very childhood we should develop the willingness of the individual to explore the surrounding reality, create original strategies of activity and behavior.
Research on the Construction Strategy of Smart Campus Infrastructure in Vocational Colleges in the Age of 5G

This paper introduces the development status of 5G technology, analyzes the development status of smart campuses in vocational colleges, and analyzes the influencing factors of 5G technology on the construction of smart campuses in vocational colleges.And then, it proposes application-oriented mMTC-based vocational college smart campus infrastructure construction strategy and implementation guarantee, with a view to providing a theoretical reference for future vocational college smart campus infrastructure construction.
A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract)

We critically review the smooth inverse frequency sentence embedding method of Arora, Liang, and Ma (2017), and show inconsistencies in its setup, derivation and evaluation.
Recognizing Activities of Daily Living in Ambient Intelligence Environments using 1D Convolutional Neural Networks

Human Activity Recognition (HAR) is considered a challenging task in sensor-based monitoring systems.In ambient intelligent environments, such as smart homes, collecting data from multiple sensors is useful for recognizing Activities of Daily Living (ADLs), which can then be used to help provide assistance to inhabitants.ADLs are composed of complex time-series data that has high dimensionality, is large in size, and is updated continuously.Thus, developing methods for analysing these time-series data to extract meaningful features and specific characteristic would help solve the problem of activity recognition.Based on the noticeable success of deep learning in the time-series classification field, we developed a model for classifying ADLs in an ambient environment using deep neural networks.Our model, a Deep One-Dimensional Convolutional Neural Network (Deep 1D-CNN), contains several one-dimensional convolution layers coupled with a max-pooling technique to discover and extract the suitable internal structure to generate the deep features of the input time-series automatically.Such a model can be used as a unified framework for both feature extraction and classification.It performs well on high-dimensional time-series data; it does not require any expert knowledge in feature extraction, and it is able to find relevant and discriminative features for activity recognition.In order to evaluate the performance of our model, we tested it on the new real-life dataset, ContextAct@A4H, and the results showed that our model achieved a high F1 score (0.90).We also compared our results with baseline models for time series classification with deep neural networks.The comparison revealed that, our deep 1D-CNN model achieved the best overall performance in terms of precision, recall, and F1 score.
BUSINESS GOODWILL AND REPUTATION – WITH SPECIFIC REFERENCE TO INTELLECTUAL PROPERTY LAW

Passing off protects customer’s goodwill, that is, traders spend a great deal of effort and expense in building an identifiable reputation in order to create and enhance a market for their goods and services. There can be no goodwill without a reputation, though a reputation may exist without goodwill.Trademarks help to maintain commercial reputation. An equally significant protection is afforded through the specific law. Since 1896, there has been consistent development of this form of tort, but there is no judicial consensus as to the legitimate extent of protection required. The alternative suggestion of malicious, falsehood also failed to assume the significance it demanded. Unlike other forms of intellectual property, registered trademarks and passing off, focus on the producer’s reputation and goodwill. Article DOI: https://dx.doi.org/10.20319/pijss.2019.51.587591 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
Pengaruh Pembelajaran dengan Metode e-Learning Terhadap Pemahaman Materi Kuliah Keperawatan Medikal Bedah II pada Mahasiswa Keperawatan Semester IV STIKes Maranatha Kupang

Introduction: The development of technology has an impact on the realm of education, particularly in the form of an electronic-based learning method (e-learning). The application of the e-learning method for studying is considered as a way to enhance knowledge, specifically for nursing science to be more efficient during the COVID-19 pandemic. Purpose: This study aims to examine the effect of the e-learning method on the understanding of second-year nursing students toward surgical-medical nursing lecture material in STIKes Maranatha Kupang. Methods: The research design used in this study was a quasi-experimental design with one group pre-post test only. Respondents in this study were 39 people. Data collection was conducted by measuring students' comprehension of the topic of the course being taught. The study material was given through the online system for 150 minutes using the zoom application. Subsequently, respondents were remeasured with the same questions after the lecture session using the edLink application. The statistical test in this study used the Wilcoxon test. Results: The preliminary test obtained a mean of 32.69 with min-max 0-60 and post-test 71.79 with min-max of 55-90. The statistical test result of the p-value was 0,002. Conclusion: The increase of mean value after the post-test and also the statistical test results of p-value &lt; 0.005 provide the evidence that the e-learning method affects the second-year nursing students’ comprehension concerning the material of medical-nursing courses in STIKes Maranatha Kupang.&#x0D; Keywords: e-learning method; understanding; medical-surgical nursing; course material
A Concept Drift Detection Algorithm based on Fuzzy Marginal Density

With the continuous emergence of data, concept drift in data streams is becoming more and more common. In the past, concept drift detection was regarded as a task based on supervised learning, but it is of practical significance to study concept drift in semi-supervised or unsupervised learning since it is difficult to get all the labels of the data streams in real time. Existing algorithms based on semi-supervised learning to detect concept drift show good performance, but there is still room for improvement in terms of detection delay and false alarm rate. In this paper, we propose an algorithm named as Fuzzy Margin Density Drift Detection suitable for semi-supervised learning. This method explores the membership function of the fuzzy marginal dataset to more accurately describe and quantify the classification confidence of samples in the data stream, which takes full advantage of the classification confidence of each samples. This method is more accurate for concept drift detection, and can avoid the false alarm in some degree. We verified the effectiveness of the proposed algorithm through experiments on synthetic and real data set.
Construction of ICU nursing workload performance appraisal index based on information system

ObjectiveTo develop a reasonable performance evaluation index system for ICU nursing workload based on the hospital information system and the structure-process-result model.MethodsThe preliminary indicators of ICU nurses' performance appraisal system were constructed by the research group. Delphi method was used for expert consultation to evaluate the importance of the indicators of the performance appraisal system. After summarizing, sorting out and modifying the expert opinions, the performance appraisal index system of ICU nurses was obtained. SPSS 19.0 software is used to describe the importance of experts' evaluation of indicators at all levels, such as mean, standard deviation, coordination coefficient of experts' opinions and degree of coordination.ResultsThe effective recovery rate of expert consultation papers was 100%. In the first round of inquiry, the average of importance assignment was 2.05-5.00, the average of rationality assignment was 2.13-5.00, and the average of importance assignment in the second round was 4.57-5.00. The average of rationality assignment was 4.71-5.00. The coefficient of variation of all levels of indicators in the first round was 0.02-0.18, the coefficient of variation in the second round was 0.02-0.12, which was less than 0.2, the positive coefficient of experts was 100%, and the authoritative coefficient of experts in the second round was 0.86 and 0.88. After two rounds of Delphi expert consultation, the ICU nurses' performance appraisal index system was finally formed, including three first-level indicators and 37 second-level indicators.ConclusionThis study is based on the information system, according to the structure-process-result model, using the expert consultation method to construct the ICU nursing workload performance assessment index system, and establish the weight of each index, the research results are helpful to further improve the performance appraisal system of ICU nursing staff and improve the scientific management level of ICU.Key words: Intensive care; Nursing workload; Performance appraisal; Information system; Index system
Analysis of the properties of OLS-estimates in parameter identification of distributed dynamic processes

Abstract This work is devoted to analysis and research of OLS-estimates properties when identifying parameters of distributed dynamic processes. The study showed that at a low level of observation errors (1% and lower), the use of direct OLS estimates to identify parameters of distributed dynamic processes gives satisfactory results. At the same time, the displacement value is always slightly higher than the value of the standard deviation of the parameter estimate, which does not allow to neglect the displacement, especially at a high and average level of observation errors. The method of obtaining so-called alternative OLS-estimates is also proposed, which allows to reduce multicollinearity in sample statistics and at any level of observation errors significantly reduce standard error of parameter estimation.
The effects of two perfusion methods in the treatment of left coronary artery abnormality originated from pulmonary artery

ObjectiveTo investigate the applicate effects in the treatment of left coronary artery abnormality originated from pulmonary artery(ALCAPA) with two perfusion methods of Medium-low temperature-full flow and Low-temperature- low flow.MethodsFrom April 2010 to August 2018, 51 children with ALCAPA were treated with direct coronary artery transplantation in Beijing Anzhen Hospital. According to the circulated perfusion method, All of cases were divided into two groups: the Medium-low temperature full flow(group A) and Low-temperature low flow(group B); All patients underwent ALCAPA correct operation under general anesthesia by intravenous inhalation and extracorporeal circulation, and the combined cardiac malformations at the same period.ResultsThe whole of 51 children, including 27 males and 24 females, the aweraged age was(29.19±19.43)months(8-36 months), the aweraged weight was(11.73±9.99)kg(7.4-35.0 kg). The cardiothoracic ratio(C/T) was 0.70±0.09. In group A, 24 patients, including 13 males and 11 females, the aweraged age 3-36(28.64±16.30) months, the aweraged weight 7.4-31.0(12.25±10.33) kg, and the cardiothoracic ratio(C/T) 0.71±0.07. Group B included 27 patients, including 15 males and 12 females, the aweraged age 5-31(25.85±16.60) months, the aweraged weight 6.7-35.0(10.38±3.67)kg, and the cardiothoracic ratio(C/T) of 0.69±0.06. The postoperative early death were 5 cases in the whole group, there were 3 cases in group A and 2 cases in group B, all of them were died of low cardiac output syndrome. Extracorporeal membrane oxygenation(ECMO) support for 7 cases of 5 in group A and 2 in group B. There was no statistically significant difference in in-hospital mortality between the two groups(P>0.05). The Intraoperative extracorporeal circulation time, ascending aorta occlusion time, the number and amount of myocardial cold arrest fluid perfusion, postoperative extracorporeal circulation assistance time, the incidence of ventricular fibrillation, ICU residence time, and ventilator assistance time were significantly lower in group B than group A, all with statistically significant differences(P<0.05). A total of 42 cases were followed up after the operation, the follow-up time 17(3-29) months and the left ventricular ejection fraction increased from 0.53±0.15 to 0.66±0.14(P<0.05), there was no statistically significant difference between two groups.ConclusionThe perfusion modes of Low-temperature- low flow in the correct operation of ALCAPA can effectively shorten the time of aortic occlusion, improve the effect of intraoperative myocardial protection, reduce intraoperative visual field return blood volume, and reduce postoperative low cardiac output. To improve the curative effect of operation.Key words: Perfusion modes; Congenital heart diseases; Cardiac surgical procedures