Reviewerly/exHarmony huggingface dataset:
Demystifying the Capabilities of Machine Learning and Artificial Intelligence for Personalized Care

The healthcare industry is undergoing a phase of disruption due to the adoption of modern technological innovations. In recent times, patients’ expectations have been changed drastically to a higher degree of efficiency and comfort at a low cost. In response to the patients’ needs, the healthcare industry also changed their way of providing care services. Healthcare professionals have changed their focus on patient-centric care delivery services and started to provide services that manage overall patients’ health and not just disease treatment, for providing timely, personalized and efficient care to the patients’ providers are motivated to adopt novel technologies like mHealth and IoT, where it is possible to disseminate the machine learning-enabled personalized monitoring. Sensor-enabled personal digital assistants to have the immense capability of measuring and transmitting real-time physiological data. This chapter discusses such devices and their use in providing personalized healthcare, and how a physician can leverage the real-time sharing of the data for providing ubiquitous care to all. This chapter discusses Machine Learning-enabled Artificial Intelligence, which detects the abnormality at an early stage, where physician, as well as patient, can be alarmed earlier about a future disease or health conditions, which enables early intervention of physician for providing early treatment along with personalized recommendation and how physician, as well as patients, look at these technologies along with small case studies.
MODEL DELONE & MCLEAN UNTUK MENGUKUR TINGKAT KEBERHASIAN PENERAPAN E-LEARNING

This study aims to determine the level of successful application of e-learning, by using the theory developed by Delone & McLean, namely a method that has 6 variables, namely: Information quality, System quality, Service quality, Use, User satisfaction, Net Benefit, with the number of variables. a sample of 94 people. Based on the results of the research that has been done, the results show that the Information Quality (X1), System Quality (X2), and Service Quality (X3) from e-learning, affect the level of users (Y1) on e-learning, Information Quality (X1), System Quality (X2), and Service Quality (X3) from e-learning affect the level of User Satisfaction (Y2) on the e-learning, from Users (Y1) and User satisfaction (Y2) from e-learning affect Net Results or profits ( Y3) from using e-learning, Net Results (Y3) obtained from using e-learning affect the level of User (Y1) and User Satisfaction (Y2), and User Satisfaction (Y2) with e-learning affects User Level (Y1) e-learning itself and so should, User (Y1) affect User Satisfaction (Y2) e-learning.
A Matrix-Valued Inner Product for Matrix-Valued Signals, Matrix-Valued Lattices, and LLL Basis Reduction

A matrix-valued inner product was proposed before to construct orthonormalmatrix-valued wavelets for matrix-valued signals. It introduces a weakerorthogonality for matrix-valued signals than the orthogonality of allcomponents in a matrix that is commonly used in orthogonal multiwaveletconstructions. With the weaker orthogonality, it is easier to constructorthonormal matrix-valued wavelets. In this paper, we re-study thematrix-valued inner product more from the inner product viewpoint that is morefundamental and propose a new but equivalent norm for matrix-valued signals. Weshow that although it is not scalar-valued, it maintains most of thescalar-valued inner product properties. We introduce a new linear independenceconcept for matrix-valued signals and present some related properties. We thenpresent the Gram-Schmidt orthonormalization procedure for a set of linearlyindependent matrix-valued signals. Finally we define matrix-valued lattices andgeneralize the LLL basis reduction to matrix-valued lattices.
Symmetric mean and directional contour pattern for texture classification

In this letter, we propose a simple yet effective texture descriptor, symmetric mean and directional contour pattern (SMDCP), for texture classification. In particular, first the robust symmetric mean pattern (RSMP) that extracts the sign and amplitude information of the local difference through the neighbourhood average in a new scheme of encoding to further enhance the robustness to noise is constructed. Then a local directional and contour pattern (LDCP) to represent the contour information and direction information of adjacent sampling points is extracted. By concatenating the RSMP and LDCP, a robust and effective texture descriptor (SMDCP) for classification is built. Experimental results reveal that the proposed method obtains significant performance and high discrimination in comparison with 10 representative approaches.
The Structure of the Pedagogical Speaking in Online Lessons

The article considers pedagogical speech as an activity and a tool for the work of a teacher/teacher/business coach (hereinafter referred to as a teacher) to ensure the effectiveness and efficiency of classes in an electronic environment. From the standpoint of the methodology of speech as an activity of A. A. Leontiev, the structure of pedagogical speaking in the form of verbal, written, non-verbal components is proposed, as well as its capabilities as a tool for solving pedagogical tasks in the lesson in an electronic environment.
IMPROVING STUDENTS’ READING COMPREHENSION THROUGH SEMANTIC MAPPING STRATEGY AT THE TENTH GRADE OF SMA PERSADA BANDAR LAMPUNG IN THE ACADEMIC YEAR 2020/2021

This research was a Classroom Action Research. The object of this research was to explain and help the extent to which the using Semantic Mapping Strategy can improve students’ reading comprehension at the second semester of the tenth class of SMA Persada Bandar Lampung in the academic year of 2020/2021. The subjects of this research were 23 students, consisted 9 males and 14 females. This method used to improve student reading comprehension through Semantic Mapping Strategy. The research was conducted in two cycles which included plan, action, observe, and reflect. The data analysis research finding, the writer concludes that students’ reading comprehension of the tenth class of SMA Persada Bandar Lampung increased. It can be seen from the result of the second cycle which has mean score 86.73, it was better than in cycle I which has mean score 75.21. From the result that has been given, it could be said that the applying strategy in Semantic Mapping improved the skill in reading comprehension learning activities by students.
Improving Neural Network Learning Through Dual Variable Learning Rates

This paper introduces and evaluates a novel training method for neural networks: Dual Variable Learning Rates (DVLR). Building on insights from behavioral psychology, the dual learning rates are used to emphasize correct and incorrect responses differently, thereby making the feedback to the network more specific. Further, the learning rates are varied as a function of the network's performance, thereby making it more efficient. DVLR was implemented on three types of networks: feedforward, convolutional, and residual, and two domains: MNIST and CIFAR-10. The results suggest a consistently improved accuracy, demonstrating that DVLR is a promising, psychologically motivated technique for training neural network models.
Automatic design of color w-operators to segment white blood cells in images of acute lymphoblastic leukemia

This paper proposes the automatic design of color W-operators to segment white blood cells of acute lymphoblastic leukemia in images in RGB color space. The design of the proposed W-operators consists of two stages, one for training and one for testing. The training stage is carried out marginally for each of the RGB color space channels. For the training stage, we use different sets of n-pairs of images to obtain an array of observations, for each channel, with their respective labels observed in a window of size k. In the test stage, the three associated W-operators obtained in the previous stage are combined, obtaining a color W-operator. The proposed method was used to segment white blood cells with satisfactory results To validate this method, a free access database of Leukocyte Images for Segmentation and Classification (LISC) was used. From the results, it can be concluded that the proposed W-operator color allows better segmentation than those defined from a single channel or the linear combination of the three channels.
Ways to Use the "Physics at School" Platform in the Organization of Practical and Laboratory Classes in Physics

The article summarizes the results of virtual demonstrations and experiments in teaching physics using digital technologies and Internet resources.
Development of Learning Media Based on Quiet Book at Seventh Grade Students of SMP IT Ulul Albab Tarakan

AbstractThis study aimed to develop learning media that had effective design and attractive materials to be used in learning English for seventh grade students at SMP IT Ulul Albab Tarakan. This was research and development study using ADDIE model that considered of five stages: (1) Analysis, (2) Design, (3) Development, (4) Implementation, (5) Evaluation. The instruments used in this study consisted of a material expert validation questionnaire, and media (design) validation questionnaire and students response questionnaire. The result of the study showed that the validation by Quiet Book material experts and media experts were 77% and 76% respectively and both were at good qualifications. The results of the students questionnaire responses which were divided into three showed that the one to one formative evaluation trial was 93% (very good qualification), the small evaluation trial was 87% (very good qualification), and the field test formative evaluation trial was 88% (very good qualification). The results of the research and development of learning media Quiet Book were appropriate for use in learning English for seventh grade students at SMP IT Ulul Albab Tarakan.AbstrakPenelitian ini bertujuan untuk mengembangkan media pembelajaran untuk kelas VII di SMP IT Ulul Albab Tarakan dan menghasilkan produk media pembelajaran yang efektif dari aspek desain dan materi serta menarik minat siswa dengan pembelajaran Bahasa Inggris. Penelitian ini merupakan penelitian pengembangan (Research and Development) dari model ADDIE yang terdiri dari lima tahap (1) Analysis, (2) Design, (3) Development, (4) Implementation, dan (5) Evaluation. Instrumen penelitian dan pengembangan ini menggunaan angket validasi oleh ahli materi, serta angket validasi media (desain) serta angket respon siswa. Hasil penelitian dari validasi media pembelajaran melalui ahli validasi materi dan ahli media mencapai persentase 77% dan 76% dengan kualifikasi baik. Hasil angket respon siswa terhadap media pembelajaran terbagi menjadi tiga, uji coba one to one formative evaluation, dengan persentase sebesar 93% dengan kualifikasi sangat baik, uji coba small evaluation group test dengan persentase sebesar 87% dengan kualifikasi sangat baik, dan uji coba test formative evaluation dengan persentase 88% dengan kualifikasi sangat baik. Uji coba produk dilaksanakan dikelas VII SMP IT Ulul Albab Tarakan. Hasil penelitian dan pengembangan media pembelajaran Quiet Book layak digunakan dalam pembelajaran Bahasa Inggris.
Emergent Literacy Instruction in Acquisition of Reading Readiness Skills Among Primary School Pupils in Ikom Education Zone, Cross River State, Nigeria

This study investigated emergent literacy instruction in acquisition of reading readiness skills among primary school pupils’ in Ikom Education Zone, Cross River State, Nigeria. Five research questions and five corresponding null hypotheses were formulated to guide the study. Ex-post facto research design was used for the study. The population of the study was twenty one thousand, eight hundred and one (21,801) pupils. Stratified random sampling technique was used to select three hundred and sixty (360) pupils as sample for the study. A structured and validated 30-item questionnaire was used for data collection. Data was analyzed using population t-test and Independent t-test to test the null hypotheses at .05 level of significance. The result of the analysis showed that Primary school pupils’ acquisition of reading readiness skills in Ikom Education Zone, with respect to, phonological awareness, knowledge of alphabets activities, oral language activities, and story book reading, is significantly high; there is a significant mean difference in phonological awareness, alphabet recognition skills, oral skills, and print awareness skills mean achievement scores of private and public school children exposed to emergent literacy instruction. Based on the findings, the following recommendations were made among others, teachers in public primary schools should cultivate preschool children’s willingness to listen to stories, desire to be read to, curiosity about words and letters, exploration of print forms, playfulness with words, enjoyment of songs, poems, rhymes, jingles, books, and dramatic play.
Quantum phases transition revealed by the exceptional point in Hopfield-Bogoliubov matrix

We use the exceptional point in Hopfield-Bogoliubov matrix to find the phase transition points in the bosonic system. In many previous jobs, the excitation energy vanished at the critical point. It can be stated equivalently that quantum critical point is obtained when the determinant of Hopfield-Bogoliubov matrix vanishes. We analytically obtain the Hopfield-Bogoliubov matrix corresponding to the general quadratic Hamiltonian. For single-mode system the appearance of the exceptional point in Hopfield-Bogoliubov matrix is equivalent to the disappearance of the determinant of Hopfield-Bogoliubov matrix. However, in multi-mode bosonic system, they are not equivalent except in some special cases. For example, in the case of perfect symmetry, that is, swapping any two subsystems and keeping the total Hamiltonian invariable, the exceptional point and the degenerate point coincide all the time when the phase transition occurs. When the exceptional point and the degenerate point do not coincide, we find a significant result. With the increase of two-photon driving intensity, the normal phase changes to the superradiant phase, then the superradiant phase changes to the normal phase, and finally the normal phase changes to the superradiant phase.
Creating Secure Clouds by Continuous Auditing Using Block Chain

The cloud computing infrastructure category has major advantages in the handling of user data. Yet it also causes other security issues including honesty of the records. Public verification procedures that require a customer to select a third-party auditor to verify the customer's data validity, because existing public verification systems are dangerous for procrastinating auditors that might conflict with the verification phase. Public key infrastructure (PKI) is used to develop most identity authentication systems, and it suffers from the issue of certificate management. Via the use of block chain technologies we suggest the first certificate-less public authentication scheme against procrastinating auditors (CPVPA). The core theory is that auditors are expected to report any inspection result as a transaction into a series of blocks. Because transactions on the block chain are time-sensitive, it is possible to time-stamp the validation before the actual transaction is recorded in the block chain, enabling users to ensure whether auditors conduct the verifications within the stated timeframe. In addition, CPVPA is based on certificate-free cryptography and free from issues in the administration of certificates. CPVPA security is shown by consistent evidence of compliance and a rigorous performance review is done to demonstrate that CPVPA is a success.
Compilation of Aggregates in ASP

Answer Set Programming (ASP) is a well-known problem-solving formalism in computational logic.Nowadays, ASP is used in many real world scenarios thanks to ASP solvers.Standard evaluation of ASP programs suffers from an intrinsic limitation, knows as Grounding Bottleneck, due to the grounding of some rules that could fit all the available memory.As a result, there exist instances of real world problems that are untractable using the standard Ground & Solve approach.In order to tackle this problem, different strategies have been proposed.Among them we focus on a recent approach based on compilation of problematic constraints as propagators, which revealed to be very promising but is currently limited to constraints without aggregates.Since aggregates are widely used in ASP, in this paper we extend such an approach also to constraints containing aggregates.Good results, that proof the effectiveness of the proposed approach, have been reached.
Analysis and Classification: Code Clone Detection and Management Techniques

In a system, code clones are copies of identical instances or pieces of source code. This occurs as a result of programmers' use of the copy and paste approach as a rapid way to write source code. A lot of research has been done to avoid the occurrence of code clones in order to regulate the incidence of code clones. As a result, this study conducts a comprehensive assessment of the work done in preventing code clone occurrence using code clone detection and management techniques. The purpose of this study is to offer a comprehensive review of the state-of-the-art in code clone detection and management techniques. The research covers conclusions and discussions of different reviews that have been conducted, which led to some proposed future works as an enhancement to existing code clone avoidance techniques.
Effects of Negative Community attitudes Towards School on the Performance of Students

Mentality towards school is a significant indicator of scholarly well. Moreover, the underlining persuasive and full of feeling segments and their relationship with scholastic accomplishment are not yet grounded. The current exploration intended to investigate the connection between demeanor towards school including the inspiration and feelings associated with the scholarly setting, and accomplishment. The overall speculation is that the mentality towards school intervenes the impacts of persuasive and full of feeling viewpoints on scholarly accomplishment. To test this theory we embraced two strategies. To start with, we inspected the underlying connections between demeanor towards school, inspirations, feelings and accomplishment. Second, we checked the adequacy of an instructive preparing zeroed in on inspiration and feelings in working on the demeanor towards school. Results affirmed the intervening job of the mentality towards school in forming the connection between emotional persuasive factors and scholarly accomplishment, yet in addition showed an immediate impact of self-assurance on school accomplishment. Instructive ramifications are featured. One just requirements to notice a study hall for half a month to understand the measure of scorn preparing in the perspectives of understudies in center and secondary school.
Tools, techniques and sources: searching major bibliographic databases

This three-part module covers the tools and techniques of searching and sources for research in paramedicine. Part I covers basic search tools and techniques that are widely used in bibliographic databases such as MEDLINE and CINAHL. Part II looks at sources of research and provides you with an approach to searching that are most likely to lead to a successful outcome for your search. Part III takes you through sources of research you might consider after you have searched established sources. There is guidance on how to approach sources critically to avoid junk or predatory publications.
Research guides: GEOS: Geoscience: Finding articles

This guide includes resources to support students studying Earth Science (Geoscience) at Camosun College.
Design of assistant system for teaching reform of microbiology course based on big data mining

The traditional teaching reform assistant system only analyzes the limited teaching case data, which leads to the poor improvement of teaching effect and low practical application value. In view of the above problems, a teaching reform assistant system of Microbiology based on big data mining is designed. Based on the hardware of the traditional teaching reform assistant system, the software part of the system is designed. Build the data warehouse of the system, and use big data mining technology to extract information data related to courses. Using clustering algorithm to design the information recommendation module of the system, so that teachers can use the cutting-edge knowledge of the course in time, and complete the design of the auxiliary system of teaching reform. The experimental results show that, compared with the traditional teaching reform assistant system, the teaching reform assistant system based on big data mining saves about 41 % of CPU memory under the high concurrent users, and after the application of the system for teaching reform, students' abilities have been significantly improved.
A Participation Model for Teaching English at Politeknik Negeri Media Kreatif

This study dealt a participation model for teaching English at Politeknik Negeri Media Kreatif. It is used quantitative research design. The purpose of this study was to know how participation process in teaching, linguistic anthropology approach to research the phenomenon that cover speech and speech action. There were 40 students of Politeknik Negeri Media Kreatif as population and sample in this study. There were two instrument that conducted in this study, they were observation and questionnaire. The result of this study was the participation model of teaching English at Politeknik Negeri Media Kreatif should consider and focus on overcoming public speaking anxiety because they don't know how to start a conversation, public speaking anxiety because they can't predict what listeners expect, public speaking anxiety because Not ready to speak, public speaking anxiety is caused by not knowing what to do and still having concerns about the differences in the methods and materials taught by lecturers with material heard through audio devices or native English speakers.
Identifying the mediating role of corporate reputation in the relationship between selected RepTrak facets and customer loyalty of Malaysia Airlines Berhad

Corporate reputation is a part of the intangible asset management that can help create a competitive advantage in firms. Hence, it is crucial for firms to create a favourable reputation and build a goodperception among stakeholders. However, crises are inevitable and can cause a firm’s reputation to be tarnished and its credibility to be questioned. Therefore, this study aims to identify the mediating role of corporate reputation on the relationship between selected facets of the RepTrakTM reputation model, namely, products/services, innovation, citizenship, leadership, performance and customer loyalty from the perspective of Malaysia Airlines Berhad’s (MAB) customers. Online and offline questionnaires were administered to MAB consumers which yielded 173 valid responses. The collected data were then analysed using partial least square structural equation modelling (PLS-SEM) in Smart-PLS 3.2.7. The findings confirmed the positive relationships between the four facets of RepTrakTM with corporate reputation in the current context; however, innovation demonstrated a negative but significant relationship with corporate reputation. In addition to that, the relationship between corporate reputation and customer loyalty was also established. Further, the results confirmed corporate reputation as a mediator that mediates the relationship between all five determinants of RepTrakTM model and customer loyalty. The conclusion, the implications and suggestions for future research are also discussed.