Reviewerly/exHarmony huggingface dataset:
Abstract PO-054: Development of machine learning based early warning for rapid response system in a single cancer center

Abstract Background: Rapid response systems identify deteriorating hospitalized patients and prevent unexpected mortality by providing immediate interventions. But there are also difficulties in costs and human resources for clinical implementation. Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. We try to develop a machine learning based early warning system to predict intubation and cardiopulmonary resuscitation (CPR) using vital signs and laboratory values. Methods: The training set was composed of all patients admitted to a cancer hospital named Chonnam National University Hwasun Hospital for two years (event group 277 vs. non-event group 3576 cases), and the test set was made from all patients admitted to non-cancer hospital named Chonnam National University Hospital for four months (event group 61 vs. non-event group 2334 cases). The time point at which the patient's clinical deterioration was recognized in the ward was defined as ‘detection time’, and the time point at which the patient suffered airway intubation or CPR was defined as ‘event time’. The algorithm is developed using five vital signs (blood pressure, heart rate, body temperature, respiratory rate and oxygen saturation) and laboratory values. We compared the efficacy of developed models which were ensemble model, recurrent neural network (RNN), low gradient boosting (LGB), extreme gradient boosting (XGB) and random forest with established modified early warning score (MEWS) using receiver operating characteristic area under curve (ROC AUC) and precision recall AUC (PR AUC) analyses. Results: The ROC AUC value of the ensemble model using five vital signs was 0.9219 and the PR AUC was 0.0732. After adding laboratory values, the ROC AUC values of the ensemble, RNN, LGB, XGB, random forest improved to 0.9964, 0.9814, 0.9950, 0.9862 and 0.9962. The PR AUC values were also increased to 0.2326, 0.2140, 0.3252, 0.2095 and 0.1985, respectively. The developed models showed higher performance than MEWS (ROC AUC: 0.7253, PR AUC: 0.0468) Conclusion: Machine learning based early warning system using vital signs and laboratory results was feasible. And the performance was better than traditional MEWS model because the ensemble model showed highest value in ROC AUC and LGB showed highest value in PR AUC. Citation Format: Bo-Gun Kho, Min-Seok Kim, Tae-Ok Kim, Cheol-Kyu Park, Young-Chul Kim, Soo-Hyung Kim, In-Jae Oh. Development of machine learning based early warning for rapid response system in a single cancer center [abstract]. In: Proceedings of the AACR Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging; 2021 Jan 13-14. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(5_Suppl):Abstract nr PO-054.
Exploring the influence of parents’ home reading practices on emergent literacy

The purpose of this article is to explore the correlation between Namibian preprimary and Grade 1 parents’ demographic characteristics and print and digital reading practices in home environments. A quasi-experimental descriptive research design wasselected to launch this investigation in the Khomas region. Survey data documented the relationship between parents’ demographic variables and print and digital reading behaviours. The study tested the null-hypothesis (Hₒ: u1 = u2) and non-directional hypothesis (Hₒ: X1 ≠X2). The underlying assumption is that parents home reading practices positively impact children’s early language and literacy development. The findings reveal that there is no significant relationship between age, gender, education, family size, and employmentstatus, with print and digital reading behaviours that influence children’s emergent language and literacy development in home environments. In a Chi-Square test, the null hypothesis was rejected for age, gender, education, family size, and employment status, but retained and positively correlated to marital status, child reading behaviour, and parents’ book, magazine and newspaper reading behaviour. The implication is that when parents buy print materials for home reading purposes and engage their children in pleasurable reading experiences, their children are more likely to be supported at home to influence favourable language and literacy outcomes in school. The study contributes to family literacy literature and highlights the relationship between parents’ reading behaviours and children’s emergent language and literacy development.&#x0D; Keywords: emergent literacy, home environment, parents, print and digital reading, reading behaviours, socioeconomic status
Analysis of Indonesian Ideo-Cultural Representation in Elt Textbook: Gramscian Hegemony Perspective

The focus of this study is an analysis of Indonesian ideo-cultural representation, and the relation to hegemony practice, in English Language Teaching (ELT) textbook for 7 th grade of Junior High School; Bahasa Inggris, When English Rings the Bell . Ideo-cultural aspects and ELT have become an interdependency relationship that cultural awareness must include in the communicative competences. Otherwise, learners may feel vulnerable and powerless in real-life encounters with native speakers, and this feeling might decrease their investment in second language learning. The purpose of this study is to describe the cultural content represented in Bahasa Inggris, When English Rings the Bell, and to explain the discursive and hegemony practice in the Bahasa Inggris, When English Rings the Bell.  This study is a descriptive qualitative study. It describes the four cultural dimensions proposed by Moran (2001) and Yuen (2011): Product, Practice, Perspective, Person, and cultural types proposed by Cortazzi and Jin (1999): S ource, Target, International found in the book. This study also analyzes the hegemony practice proposed by Gramsci (1971) utilizing the Critical Discourse Analysis framework proposed by Fairclough (1995). From the analysis conducted in this study, it finds that there is a considerable imbalance in the contents distribution for each content category. From the analysis conducted, it also finds that the discourse built in this book focused on national discourse. The discourse can be read from the references presented in the book that presents many names, places, cultural artifacts that represent Indonesian values.
An Internship Report on Front End Web Design: A Study on Nano IT World

Front-end web improvement is the act of changing over information to a graphical interface forthe client to see and connect with information through computerized cooperation utilizingHTML, CSS. Front-end web improvement, otherwise called customer side advancement is theact of creating HTML, CSS, and JavaScript for a site or Web Application so a client can seeand communicate with them straightforwardly. The test related to front end improvement isthat the apparatuses and methods used to make the front finish of a site change always thus theengineer needs to continually know about how the field is creating.
MVOPE Based Secure Query Processing on Non-Relational Databases in Cloud Environment

Due to increase in the development of distributed computing standards, Database-as-a-Service (DBaaS) gains new consideration among modern clients. It enables customers to utilize a database service framework without acquiring it. In DBaaS, security is a noteworthy concern, because the informations are stored on servers possessed by service providers and furthermore to accomplish data confidentiality, these informations ought to be stored in an encrypted way. In existing, different security mechanisms are used and they are broadly classified into encryption at rest and end -to- end encryption. In DBaaS, query processing over an encrypted data introduces performance degradation and also it leaks some sensitive information while processing it. Database-as-a-Service is categorized into two sorts: Relational DBaaS and Non-Relational DBaaS. The advance request of Big data in Cloud Computing paradigms has constrained the organizations to move towards Non-Relational Database. To broaden the data security solutions in Non-Relational database (NoSQL), a secure order preserving encryption with Multivariate Hypergeometric distribution is proposed which can process the range queries effectively without leakage of sensitive information in a cloud model.
Speaking Activities Used in English Community of English Study Program in Enhancing Students’ Speaking Skill

Abstract: Speaking skill is the skill that makes us communicate to each other effectively. The objectives of this study were (1) to find out the implementation of speaking activities used in English community, (2) to find out the problem of speaking activities. The subject of this study was the fourth semester of English Study Program at IAIN Curup which consisted of 53 students. In this study, the reseachers used descriptive qualitative method by using questionnaire and interview as the encouragement of the data. This study found that the findings of this study, reseachers found that the implementation of speaking activities started with the instruction of the activity, gave the topic, encouraged students with nice activities, and supported with the positive feedback at the end of activity. For the problem, the reseachers found two problems that significant appeared. The problems were inhibition and lack of theme to be spoken.
Efektivitas Pengendalian Internal Sistem Penggajian pada Badan Pusat Statistik Provinsi DKI Jakarta Pusat

This study intends to determine the effectiveness of internal controls that are applied to the payroll accounting information system at BPS DKI Jakarta Province. This research method is descriptive qualitative research. Data collection in this study begins with conducting interviews with key informants, namely the Head of the Finance Subdivision and the Head of the Personnel Subdivision along with supporting sources. The result of this research is that internal control in the payroll accounting information system at BPS DKI Jakarta Province is effective in accordance with the applicable Law / PMK / regulations and also in accordance with existing theories. The payroll AIS indicators used, such as functions, payroll documents, payroll procedures, are in accordance with practice and theory. The functions, elements and components of COSO are all fulfilled so that the effectiveness of internal control can be realized.
Communicating touch: Physical places via digital spaces

To organise and host an online research event for ten creative practitioners that was planned previously as a physical one, required a specific way of thinking about structure and content. The curation (of the event) would be crucial to the participants experiences and research outcomes.My co-host and I needed to take into account the types of spaces we would be negotiating for our event: the studio and the domestic setting, the computer and phone screen, the capacity for conversational and collaborative spaces, the contemplative place that we need for deep thought and reflection. The zone for creative flow, when we are involved in activities and making. Also, to consider how these spaces could relate to a programme of Touch activities and projects, so practitioners would feel positive and willing to share their ideas, their work-in-progress and talk candidly about their own and others’ experiences.This video presentation discusses the methodology we developed and implemented alongside findings from the research event.
Cyber Security in Healthcare

India is a popular destination for medical tourists, given the relatively low costs & high quality of it's private hospitals.Emerging technologies & advanced devices creates huge potential to improve healthcare system.Despite this, there are some loopholes in healthcare system.Increased connectivity to existing computer network has exposed healthcare data to new cybersecurity threats.Cybersecurity breaches include stealing health information/records & ransomware attacks on health organizations.Covid-19 shows the deficiencies of management & security in the healthcare system.To make the healthcare system.More efficient we need to take actions.Government should implement rules & regulations that will help to protect the healthcare system from cyberattacks.
Research on the Innovative Training Teaching of Design College Students Based on the Concept of Crossover Innovation

The innovative training of design majors needs to broaden their professional vision and explore more systematic and comprehensive innovative teaching methods.By introducing the concept of crossover innovation, this paper puts forward some teaching strategies, such as focusing on the overall situation, carrying out project selection in detail, seeking common ground while reserving differences, establishing innovation team step by step, learning from other mountains, using innovation methods in different fields, and dynamic tracking and interactive display of innovation achievements.Crossover innovation is conducive to cultivating students' ability to integrate multiple knowledge and resources, enhancing the sense of teamwork, and improving the quality of innovation training and teaching.
BGP Link-State Shortest Path First (SPF) Routing

Many Massively Scaled Data Centers (MSDCs) have converged onsimplified layer 3 routing. Furthermore, requirements for operationalsimplicity have led many of these MSDCs to converge on BGP as theirsingle routing protocol for both their fabric routing and their DataCenter Interconnect (DCI) routing. This document describes extensionsto BGP to use BGP Link-State distribution and the Shortest Path First(SPF) algorithm used by Internal Gateway Protocols (IGPs) such asOSPF. In doing this, it allows BGP to be efficiently used as both theunderlay protocol and the overlay protocol in MSDCs.
Artificial Authors: Case Studies of Copyright in Works of Machine Learning

The Article investigates whether creative works produced via machine learning algorithms qualify for copyright protection. Previous research into this question has been largely theoretical. By contrast, the Article introduces four empirical case studies of works produced via machine learning. The Article examines the copyrightability of such works under U.S., E.U., and U.K., law. The Article concludes that such works are sufficiently original to qualify for copyright protection. This conclusion casts into doubt prior literature that finds works of machine learning algorithms to be outside the scope of copyright protection.
Assessment of Persistent Organochlorine Pesticide Residues in Commercially Important Fin and Shell Fishes of River Majidun, Lagos, Nigeria

Aim: The pesticide pollution of aquatic ecosystems has developed serious environmental anxiety, provoking a necessity for continuous evaluation of harmful constituents.&#x0D; Study Design: A quantitative cum descriptive experimental design was used to evaluate the occurrence and concentration of Persistent Organochlorine Pesticides (POPs) in water, sediment, fish (Tilapia zilli and Chrysichthys nigrodigitatus) and shell fishes (Macrobrachium vollenhovenii, Littorina littorea and Callinectes pallidus) of River Majidun, Lagos, Nigeria.&#x0D; Place and Duration of Study: Nigerian Institute of Oceanography and Marine Research (NIOMR) between June and December, 2019.&#x0D; Methodology: Sediment samples were collected by the Rigosha grab sampler and fish samples were purchased from commercial fishermen. Sample preparation was done according to the Environmental Protection Agency (US EPA) 3570 method. POPs were evaluated using Hewlett Packard 5890 series II gas chromatography with electron capture detector.&#x0D; Results: Twenty-one organochlorine residues were identified including p’p’DDT, Lindane (γ-HCH), Dieldrin, Heptachlor, Aldrin, Chlordane, Endrin aldehyde, Endrin ketone, Methoxichlor and Endosulphan. Concentrations in water ranged between 0.03 µg l-1 (Endrin ketone) and 1.97 µg l-1 (Methoxychlor). In sediment, it is between 4.55 µg kg-1 (β-HCH) and 128.25 µg kg-1 (Methoxychlor). In Macrobrachium vollenhovenii, Methoxychlor was 123.83 µg kg-1 and Lindane ((γ)- HCH) was highest here (39.35 µg kg-1). Callinectes pallidus had a high concentration of Endrin ketone (133.13 µg kg-1). The Tilapia zilli highest concentration was 110.35 µg kg-1 (endrin ketone) and it had the highest pp’DDT which was 41.40 µg kg-1.&#x0D; Conclusion: Evidently, there was sequestration of POPs from water into sediment and bioaccumulation in the organisms, due to exposure. The level of POPs in all samples were below the limits of 200 µg kg-1 fresh weight in fish and sea food set by Codex Alimentarius Commission by FAO/WHO. The attendant environmental/human menace cum inherent danger of the raised levels of POPs, calls for continuous monitoring of River Majidun.
The Implementation and Discussion of the Experiential Rhythm Teaching Mode of College Public Music Courses

With the development of subject teaching and the introduction of new music curriculum standards, The development and reform of music teaching in universities are also gradually advancing students' comprehensive quality.In the "aesthetic education, to beautify people" under the background of aesthetic education, it is an important idea for colleges and universities to cultivate all-round talents with comprehensive quality rhythm teaching of this course is the reform and attempt of public music course teaching.Based on the requirements of subject quality in the new music curriculum standards in 2017 edition, the design of the experience-first teaching method, the use of multiple experience, multi-ways to perceive the way of music, 3D rendering present music content.On the basis of stimulating learning interest and cultivating innovation ability, the comprehensive quality of subjects should be improved.
DEVELOPMENT OF A FEEDBACK SYSTEM IN HIGHER EDUCATION

This research purposed the development of feedback systems in higher education. The relevance of this topic isdue to the variety and multiplicity of problems that arise in the process of providing feedback from the teacher to students.Numerous practical observations testify to the lack of feedback provided by teachers. Teacher-student interaction is notalways effective and is often a unidirectional linear process: often, when evaluating, the teacher is limited to commenting onwritten work, notes and adjustments do not have a significant impact on the student.The article proposed a system of introduction of feedback at the university. It operates on the basis of the followingfunctions: system management function, correction function, goal achievement function, decision making function,self-organization and self-learning function, self-esteem function, continuation of communication process, function ofsocialization of the subject, function of facilitating the process of reflection, function of creating a sense of accomplishment.The system consists of the following elements: Information management indicators, Feedback channels, Feedbackimplementation methods, Feedback content, Relationships between the main types of expected outcomes and the levels offeedback, The importance of the estimated feedback parameters for the student
Dimension Reduction and Multivariate Analysis Using Linear Discriminant Analysis

The preceding chapter presented a classification method known as logistic regression. It solves binary classification problems. Multinomial logistic regression (MLR) is an extension of logistic regression using the Softmax function; instead of the Sigmoid function, it applies the cross-entropy loss function. It is a form of logistic regression used to predict a target variable with more than two classes. It differs from linear discriminant analysis (LDA) in the sense that MLR does not assume the data comes from a normal distribution. LDA comes from a linear family; it assumes normality and linearity.
Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation.

Successful teaching entails a complex interaction between a teacher and a learner. The teacher must select and convey information based on what they think the learner perceives and believes. Teaching always involves misaligned beliefs, but studies of pedagogy often focus on situations where teachers and learners share perceptions. Nonetheless, a teacher and learner may not always experience or attend to the same aspects of the environment. Here, we study how misaligned perceptions influence communication. We hypothesize that the efficacy of different forms of communication depends on the shared perceptual state between teacher and learner. We develop a cooperative teaching game to test whether concrete mediums (demonstrations, or showing) are more robust than abstract ones (language, or telling) when the teacher and learner are not perceptually aligned. We find evidence that (1) language-based teaching is more affected by perceptual misalignment, but (2) demonstration-based teaching is less likely to convey nuanced information. We discuss implications for human pedagogy and machine learning.
Context Based Automatic Spelling Correction for Turkish

Spelling errors are one of the crucial problems to be addressed in Natural Language Processing tasks. In this study, a context-based automatic spell correction method for Turkish texts is presented. The method combines the Noisy Channel Model with Hidden Markov Models to correct a given word. This study deviates from the other studies by also considering the contextual information of the word within the sentence. The proposed method is aimed to be integrated to other word-based spelling correction models.
The Use Of Flashcard In Teaching English Vocabularies By Young Mothers

This study aims to determine how to apply flashcards in teaching English vocabulary by young mothers in the Dawis PKK Desa Dua Belasan RT I RW III Jombor Kec. Bendosari Kab Sukoharjo. The problems in this study were examined by qualitative descriptive research because the results of the approach were explained by using words. This research was conducted in the village of Dua belasan Jombor Sukoharjo. Meanwhile, data collection techniques are observation and documentation. The use of flashcards to teach English can be done in three ways. Flashcards in the standard way, namely quickly changing flashcards in front of the children, then flashcards were combined with songs and lastly flashcards were combined with hide and seek games. There are two advantages of a flashcard, it is like a game and it can be combined by singing a song. Apart from that, there are two weaknesses of using the flashcard. Teachers must be creative and must find ways to integrate other media on an ongoing basis. Then, Children did not feel bored in learning English using flashcards.
Application of Recommender System for Spending Habits Based Campaign Management

Nowadays, banks are working on finding a suitable campaign for every customer profile. With this study, we aimed to develop a recommendation system that will direct the customer to the appropriate campaign. With the data received from a private bank, credit card transactions of the users were analyzed, and spending habits were modeled. We aimed to recommend the most suitable campaign to the users through the created models. Within the scope of the study, 662.088 credit card transactions performed by 4997 customers within three months were analyzed, and three campaigns were proposed for each customer as a result of the study. The ALS (Alternating Least Square) algorithm was used on Spark to establish the recommendation system. The primary purpose of the study is to increase customer satisfaction by finding unique users based on spending habits instead of campaigns that are applied collectively to customers by making a personalized campaign offer.