Reviewerly/exHarmony huggingface dataset:
Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective

Low-shot (one/few-shot) segmentation has attracted increasing attention as it works well with limited annotation. State-of-the-art low-shot segmentation methods on natural images usually focus on implicit representation learning for each novel class, such as learning prototypes, deriving guidance features via masked average pooling, and segmenting using cosine similarity in feature space. We argue that low-shot segmentation on medical images should step further to explicitly learn dense correspondences between images to utilize the anatomical similarity. The core ideas are inspired by the classical practice of multi-atlas segmentation, where the indispensable parts of atlas-based segmentation, i.e., registration, label propagation, and label fusion are unified into a single framework in our work. Specifically, we propose two alternative baselines, i.e., the Siamese-Baseline and Individual-Difference-Aware Baseline, where the former is targeted at anatomically stable structures (such as brain tissues), and the latter possesses a strong generalization ability to organs suffering large morphological variations (such as abdominal organs). In summary, this work sets up a benchmark for low-shot 3D medical image segmentation and sheds light on further understanding of atlas-based few-shot segmentation.
Student Information Chatbot System

Conversational agents, also known as chatbots, are automated systems for engaging in two-way dialogue with human users. Nowadays the use of Chatbots is very popular in a large scale of applications especially in systems that provide an intelligence support to the user. In fact, to speed up the assistance, in many cases, these systems are equipped with Chatbots that can interpret the user questions and provide the right answers, in a fast and correct way. Chatbots typically provide a text-based user interface, allowing the user to type commands and receive text as well as text to speech response. When chat bot technology is integrated with popular web services it can be utilized securely by an even larger audience. The student information chat bot will analyse user’s queries and understand user’s message for appropriate response generation. This System will be a web application which provides answer to the query of the student very effectively. Students just have to put their query to the bot which is used for chatting. The system will use the algorithms to give appropriate answers to the user. If the answer is found invalid, then there is an option to report to admin so that the users query will be satisfied. These invalid questions can be deleted or modified by the admin of the system and an appropriate answer can be embedded in the database. The student will not have to go to the college for enquiring something. Student can use the chat bot to get the answers to their queries. Students can use this web based system for making enquiries at any point of time. This system may help students to stay updated with the college activities.
Factors of integration of education system in effective sustainable development strategy

From the very first day of his birth until his death, man is under the watchful eye of society. Economic or industrial relations form the basis of society and social life. But, according to most sociologists and philosophers of the XX-XXI centuries, for thousands of years there were other, not less important laws and relationships that impeccably «guide» human actions – these are moral values. Thus, economics, morality and politics are so closely intertwined in modern post-industrial society that it is simply impossible to separate them from each other. After all, today «man as a person» and «man as a citizen» define two main directions of progress of human existence: the direction of development of the «inner world» of man the formation of new moral and psychological principles of existence; the direction of development of the «external world» of man – the formation of new economic, political and socio-psychological principles of existence. But a person’s freedom of action in a post-industrial society does not absolve himself of responsibility to society. Responsibility itself keeps a person from uncontrolled intentions.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE NUMBERED HEADS TOGETHER (NHT) UNTUK MELATIHKAN KETERAMPILAN KOMUNIKASI SISWA PADA MATERI ASAM BASA KELAS XI SMA NEGERI 11 SURABAYA

AbstrakPenelitian ini bertujuan untuk mendeskripsikan keterlaksanaan, aktivitas siswa, keterampilan komunikasi siswa, serta ketuntasan hasil belajar ranah kognitif siswa selama diterapkannya model pembelajaran Numbered Heads Together. Jenis penelitian ini merupakan deskriptif kuantitatif dengan desain penelitian One Group Pretest-Postest Design. Sasaran penelitian ini yaitu XI MIPA 2 SMA Negeri 11 Surabaya yang berjumlah 36 siswa. Hasil penelitian ini menunjukkan (1) Kualitas keterlaksanaan model pembelajaran NHT dalam kategori sangat baik dengan skor rata-rata secara berurutan yaitu 3,7; 3,8, dan 3,8, (2) Aktivitas siswa yang teramatidiperoleh dari persentase waktuaktivitas siswa yang relevan yaitu 91,67%, 95,56%, dan 96,67%, (3) Kuantitas bertanya siswa secara berurutan yaitu 30,56%, 61,11%, 69,44% dan kuantitas berpendapat siswa secara berurutan yaitu 61,11%, 72,22%, 83,33%. Kualitas bertanya siswa yang memperoleh predikat baik sekali secara berurutan yaitu 19,44%, 25,00%, 30,56% dan kualitas berpendapat siswa yang memperoleh predikat baik sekali secara berurutan yaitu 13,89%, 41,66%, dan 41,66%, (4) Ketuntasan hasil belajar siswa secara klasikal sebesar 94,44% telah mencapai nilai ketuntasan ≥75, N-gain scoresebesar 91,67% mendapatkan kategori tinggi dan 8,33% dengan kategori sedang.Kata kunci: Keterampilan komunikasi, Numbered Heads Together, Asam BasaAbstractThis study aims to describe the implementation, student activities, communication skills of students, and the completeness of the cognitive learning outcomes of students while applying the Numbered Heads Together learning model. This type of research is quantitative descriptive with research design One Group Pretest-Postest Design. The purpose of this research is XI MIPA 2 Surabaya 11 High School which conducted 36 students. The results of this study indicate (1) The quality of implementation of the NHT learning model isin a very good category with an average score in a sequence of 3,7; 3,8, and 3,8, (2) Student activities obtained from the percentage of relevant student activities, namely 91,67%, 95,56%, and 96,67%, (3) The quantity of students looking for sequentially is 30,56%, 61,11%, 69,44% and the number received by students sequentially was 61,11%, 72,22%, 83,33%. The questioning quality of students who received a very good predicate was 19,44%, 25,00%, 30,56% and the quality asked students who received excellent predicates in a row, namely 13,89%, 41,66%, and 41,66 %,(4) The completeness of student learning outcomes in a classic amounting 94,44% has reached the completeness value ≥75, N-gain score of 91,67% gets a high category and 8,33% with the medium category.Keywords: Communication skills, Numbered Heads Together, Acid Base
Hierarchical Expert Recommendation on Community Question Answering Platforms

The community question answering (CQA) platforms, such as Stack Overflow (SO), have become the primary source of answers to most questions in various topics. CQA platforms offer an opportunity for sharing and acquiring knowledge at a low cost, where users, many of whom are experts in a specific topic, can potentially provide high-quality solutions to a given question. Our proposed recommendation system will recommend the best possible question to an expert who will probably answer this question. This project will be a content-based recommendation system that utilizes hierarchical attention-based neural networks to model usersâ expertise and questions in these platforms. Our model contains two major components, i.e., Dense Encoder, a deep neural network to provide latent features for users and questions, and Hierarchical Encoder to learn dense question representations from the words and sentences. Also, we utilize attention layers in our model to select essential words and most important sentences. Our preliminary results show that our proposed recommendation system outperforms state-of-the-art baselines on a real-world dataset.
The Role of the iPad as Instructional Tool in Optimizing Young Learners' Achievement in EFL Classes in the Saudi Context

The iPad tablets have been introduced into various educational sectors to facilitate learning and engage students in the classroom. However, little is known about the empirical evidence with regard to iPad usage in enhancing language achievement. This study set out to examine the effects of integrating iPad tablets as an instructional tool into the second language (L2) curricula to enhance young learner’s academic achievement in the English as a Foreign Language (EFL) classroom. It further endeavored to uncover the limitations that affect the utilization of the iPad in the classroom. To this end, forty Arabic first language (L1) young EFL learners enrolled in a middle school, were assigned as either an experimental group where they were exposed to study via iPad or a control group where they were taught in a traditional printed text across five weeks period. Language achievements were assessed through reading and vocabulary tests which were administered before the intervention and immediately after the intervention. To gauge the students’ engagements during the intended task, their behaviors were assessed in both scenarios. Findings from quantitative and qualitative data revealed that the students who were exposed to iPad were found much engaged and significantly outscored their counterparts in language achievements in the post-tests. Furthermore, technical problems were found to be predominant impediments to the integration of the iPad usage followed by unfamiliarity with the application, and student distraction. These findings provide EFL teachers and policy makers with insight on how to better integrate the iPad into the EFL environment. Further pedagogical recommendations and research directions are also highlighted at the end of the article.
Combating the Coronavirus Pandemic in Small Schools

Due to the COVID-19 pandemic, the issue of distance education in primary schools has become a much-discussed topic. It is therefore no surprise that the issues related to it have come to the forefront of many researchers. There is, however, at least one group that has stayed relatively unnoticed, and it is so-called small schools. Thus, we conducted a qualitative study based on the phenomenological approach, searching for answers to our research question: What has been the experience of the directors of small schools with distance education during the pandemic? Our findings offer an in-depth insight into the life of six schools through the eyes of their directors. Semi-structural interviews with school directors helped us reveal three key factors that, in our opinion, had the greatest influence on the form of distance education. These are (1) the factor of ICT competence of all actors, (2) the factor of organization of educational settings, and (3) the factor of the teaching methods and forms used in education. Furthermore, we conclude the result section with a subchapter that captures the positive aspects of distance education as perceived by the addressed school directors.
Empirical Analysis of a New Immunohistochemical Breast Cancer Images Dataset

In the medical domain, medical image analysis plays an imperative role in the automation of the diagnosis process. The outcome of a medical dataset’s attributesis to enhance the improvement of breast cancer surveillance including the diagnosis and prognosis.The specification of the breast cancer immune dataset is not practically introduced as a diagnostic tool until now in the pathology field. Subsequently, this paperhas developedanewIndependent Breast Cancer Immunohistochemical Images (IBCII) dataset for breast cancer diagnosis and prognosis tasks. The images were produced from Iraqi breast cancer patients under the supervision ofspecialist physicians.It intends to assess estrogen and progesterone receptors expression immunostaining in both benign and malignant breast tumors. The automated classiﬁcation of these imagesis considered as a main computationalmachine learning task which is performed by three different types of algorithms. The algorithms are support vector machine (SVM), k-nearest neighbors (k-NN) and random forest (RF). The classification is performedwith training and testing phases based on the expression of the receptor to the image characteristics. The collected dataset was tested and compared with previous works in order to validate the usefulness of data analysis as a standard dataset for immunohistochemical assessment ofestrogen receptor (ER) and progesterone receptor (PR).The test resultsshow that the RF classification has the best accuracy score of 95.4%, precision score of 95.5%, recall score of 95.5%, specificity score of 95.4%, and ROC score of 99.5% in average. Furthermore, it has the lowest variation of results in the 10-fold testing, which makes it more robust and stable than the other two classifiers. Subsequently, the results confirm the suitability of the dataset in diagnosing breast cancer immunohistochemistry due to the high evaluation performance presented in the results tables.
Correlation of peripheral smear with RBC indices and RBC histograms in the diagnosis of anemia

Introduction: RBC histogram with erythrocyte indices provide clue to the diagnosis of anemia .Along with Peripheral smear it is used to interpret the cause of anemia.Aim: To correlate peripheral smear findings with RBC histogram patterns and RBCs indices to provide a better approach in the diagnosis of anemia and analyse their limitations.Materials and Method: 500 anemic patients with haemoglobin levels of less than 11.5gm% on EDTA sample by Beckman coulter LH-780 were included in the present study, leukemia being excluded. An impression was made by examining Leishman stained peripheral smear without referring to the histogram. The RBC histogram and the RBC indices were analysed and the anemia categorised. The correlation between the diagnosis made by Peripheral smear Vs RBC histogram, indices was analysed using Cramer’s V (0.523) and Kappa statistics for agreement between the two methods.Results: The 500 cases included 21.8%, 46%, 8.8%, 17.6% and 5.8% cases of normocytic normochromic, microcytic hypochromic, macrocytic, dimorphic and haemolytic anemia respectively by peripheral smear examination. Analysis by erythrocyte indices and histogram showed similar findings except in macrocytic, dimorphic and hemolytic anemia which were 15.6%, 15.8% and 0.8% respectively. The correlation between the diagnosis made by the two methods was statistically significant, p
An Efficient Android APP for Attendance Record and Management System

Android apps can be written using Kotlin, Java and C++ languages. The Android SDK tools compile your code along with any data and resource files into an APK, an Android package, which is an archive file with an .apk suffix. One APK file contains all the contents of an Android app and is the file that Android-powered devices use to install the app. An activity represents a single screen in your app with which your user can perform a single, focused task such as dial the phone, take a photo, send an email, or view a map. Activities are usually presented to the user as full-screen windows. This project deals with the attendance app which will be more helpful for the education side.
Live and Life in Virtual Theatre: Adapting traditional theatre processes to engage creatives in digital immersive technologies

The Round is an augmented reality platform that allows users at home to watch live streamed 3D characters being produced by real actors in a motion capture suite.The project holds the idea of "liveness" in high regard and considers it an important part of the theatrical experience that needed to be preserved in the creation of an at-home, digital experience.The live theatre experience in itself is often enormously technical with pre-recorded visual and audio experiences that are designed to be repeated.We ask the question, what is live theatre and how does this map to live streamed digital experiences, particularly involving motion capture?Whilst liveness, in this context, refers to the experience of the audience and their relationship with the performer, there is another aspect of live that affects the process of creating and designing a piece of digital theatre.The ability to affect and determine results from "live" changes to ideas on stage from the theatrical design team became an important part of the iteration of the production itself.This is part of the traditional theatre making process which doesn't easily map into the limitations of digital immersive content creation.This project however attempted to rectify that by introducing innovative technologies that allowed existing theatrical control systems and the skills used to run them to operate Unreal Engine 4 game engine, live for the show.By retaining traditional theatrical equipment and skills, the entire production team who were all new to delivering theatre in a virtual medium, were able to adapt their existing practices and approach to communication in order to maintain fast design iteration and effective collaboration within an entirely new digital medium.This paper looks at the creation of the first prototype of The Round and the effect of using traditional theatrical technologies and processes in combination with real-time platforms that are trying to adapt to the live theatre model.Whilst trying to understand the role of the live design process in this context, the subject of "liveness" will be discussed from an audience point of view and the necessity of "live" with or without "life" in the medium the audience is watching.Theatre.Motion capture.Augmented reality.
PENGEMBANGAN E-MODUL BERBASIS ANDROID PADA MATA PELAJARAN KOMPUTER DAN JARINGAN DASAR UNTUK KELAS X TKJ DI SMK N 2 PEKANBARU

Based on the observations at Computer and Network Engineering program in Vocational High School 2 Pekanbaru, modules utilized in Computer and Network Basic subjects are not optimal. It very well may be seen from the absence of student motivation when reading the modules, because the modules is not interesting and still in form of paper sheets that must be photocopied first. Students still rely on teacher for getting information during learning. Based on it, this research aims to develop an Android based e-module on Computer and Network Basic subjects that are valid, practical and effective as an independent learning alternative that can be utilized independently by students. This research uses Research and Development (R &amp; D) and Instructional Development Institute (IDI). And the advancement model comprising of three phases : define, develop and evaluate. The instrument utilized in this research is a questionnaire, that utilized to measure the validity and the practicality of Android-based e-module. Meanwhile, to measure the effectiveness uses multiple choice questions as instrument. The outcomes showed that the Android-based e-module are valid based on the validation on each aspect by the validator. Android-based e-modules are practical based on teacher / practitioner and student response. By comparing the learning outcomes of students before and after utilizing e-module, the learning result raise by 14% after learning used e-module. It means that Android-based e-module is effectively utilized as an alternative learning media that can be studied independently by students in improving learning outcomes.
Design Considerations for Ubiquitous Learning Environment

The implementation of ubiquitous learning continues to be being developed, along side the issues that regularly rise up from the software of digital and online larning, consisting of alienating college students from the actual world, the problem of college students specializing in studying goals, giving college students possibilities to spend their studying time with entertainment, to the hassle of growing the cognitive load of college students. As a continuation of electronic learning and mobile learning, ubiquitous learning gives extra than simply the cutting-edge academic thoughts or methods. To find out some considerations in designing a ubiquitous learning environment, the method used is a literature review. The literature review process begins with determining the concepts to be developed, identification and tracing of previous research results, mapping and classification of research results, analysis of classification and theme determination, analysis of relationships between themes, and conclusions. Based on the literature review process, several themes were found in the discussion, namely: 1) the emergence concept of ubiquitous learning, 2) learning theory that underlies ubiquitous learning, 3) characteristics of ubiquitous earning environment, 4) prinsiples of ubiquitous earning environment, 5) mobile devices as tools in ubiquitous earning, 6) moodle learning management system, 7) program mapping, and 8) criteria for ubiquitous learning system quality.
CHAPTER 9. A Comparative Study of Privacy Policies and Data Protection During the COVID-19 Pandemic Within Different Countries

The book aims to contribute to the new paradigm of sense-able covid-19 from and analytical perspective of different disciplines, to define and relate that kinds of multi disciplines able to provide users with relation of contextual services, to relate and analyse their dynamics and to react accordingly, in a seamless exchange of information during pandemic terms. In this context the book's main aim is to understand the complexities of society's pandemic beginning from information that is theoretically accessible from various viewpoints, through a multidisciplinary approach and in multiple contexts, both indoors and outdoors. In addition, the book will be examined in COVID-19 and later changes and transformations. ABSTRACTING & INDEXING CORONALOGY: Multidisciplinary Academic Analysis in Perspective of Covid-19 is covered by the following services: Baidu Scholar CNKI Scholar (China National Knowledge Infrastructure) Dimensions ExLibris Google Books Google Scholar Naviga ReadCube Semantic Scholar TDOne (TDNet) WorldCat (OCLC) X-MOL
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks

For personalized recommendations, collaborative filtering (CF) methods aim to recommend items to users based on data of historical user-item interactions. Deep learning has indicated success in improving performance of CF methods in recent works. However, to generate an item recommendation list for each user, a lot of deep learning based CF methods require every pair of users and items to be passed through multiple neural layers. This requires intensive computation and makes real-time end-to-end neural recommendations very costly. To address this issue, in this paper, we propose a new deep learning-based hierarchical decision network to filter out irrelevant items to save computation cost while maintaining good recommendation accuracy of deep CF methods. We also develop a distillation-based training algorithm, which uses a well-trained CF model as a teacher network to guide the training of the decision network. We conducted extensive experiments on real-world benchmark datasets to verify the effectiveness of efficiency of our decision network for making recommendations. The experimental results indicate that the proposed decision network is able to maintain or even improve the recommendation quality in terms of various metrics and meanwhile enjoy lower computational cost.