Reviewerly/exHarmony huggingface dataset:
Possibilities of analysis of chronic contamination of water sources using bioelectronic systems with bivalve mollusks

An independent experimental experience of observations of marine mussels (Black Sea mussel Mutilus galloprovincialis) since 2008 in the coastal zone and of freshwater mussels (pearl Unio pictorum) since 2014 at the river water intake point when developing and maintaining automated bioelectronic complexes at control facilities allowed accumulating data on valve activity in various natural conditions. The analysis of the data obtained determined statistical and methodological regional (Crimea) estimates of the valve activity of biosensor mollusks, including annual seasonal and climatic variability, daily and semi-daily periodicity and attenuation against the background of chronic toxicosis, starvation and physiological aging. Studies show that the main indicator of chronic pollution in water bodies for the developed automated biomonitoring systems is the level of group valve activity, which, in case of environmental toxicity, has a pronounced trend towards decline. Inter-annual variability can be analyzed by meeting a number of requirements for the composition and conditions of use of reference groups of mollusks, as well as by considering climate changes. The informativity, from the point of view of autonomous long-term automation of the control process, daily and semi-daily seasonal rhythms is quite doubtful, because they are unstable in the natural environment and depend on a number of natural factors unrelated to toxic pollution. It can be concluded that the main purpose of bioelectronic monitoring systems remains operational analysis and integrated indication of sudden impacts.
DISTANT EDUCATION IN PANDEMIC PERIOD

In the article an attempt is made to characterize some peculiarities of distant learning in the context of Covid pandemic. The definition of distant learning and its forms is given. The author tries to compare the efficiency of distant learning as it is and its efficiency as the only form of learning in the context of extreme conditions. Based on the experience of a rapid transition to distant learning of the students of Donetsk National Medical University the author descirbes and analyzes the main challenges the students and teachers faced during that period. Among them are the uncertainty about its length, special difficulties for foreign students , lack of technological devices and the necessary skills to work with them that some students experienced, the necessity to define the appropriate balance between online and offline forms of distant learning in mastering University courses, the absence of video courses in some subjects - Ukrainian as a foreign language in particular. The revealed merits and drawbacks of online learning are considered. The positive factors are the following: due to distant learning the process of studying at all educational institutions was not discontinued, students could save their time not getting to the University, working with offline tasks in their individual tempo, internet resources suggested new opportunities for teachers to be used in the period of distant learning and after it. The negative aspects are complete dependence of teaching and studying on technological devices which are not always reliable, difficulties for teachers to control if a student was really independent doing written and oral tests or examination answering, lack of the necessary emotional and visual communication between a student and a teacher, The author mentions that one of the lessons drawn from the experience of distant learning in pandemic period is the fact that the role of a teacher is in no way diminished. It remains the key factor both in classical and distant forms of studying. A mixed form of learning which combines both above mentioned ones is regarded to be widely practiced in future.
The Application of Input and Output Theory to Primary English Teaching

Primary school is a critical period for children's language learning, so foreign language teaching in this period is particularly important.Primary school English education is an important part of the nine-year compulsory education in China.It is also very important for junior high school and high school learning.Primary school English education belongs to the research category of second language acquisition, and there have been rich research results on second language acquisition.According to data, from 2000 to 2020 (10 years as a search unit), nearly 20,000 articles were published, of which articles on primary school English education are 7,589 accounted for nearly 35%.These studies mainly focus on English input theory such as Krashen theory or English output theory such as Swain's theory but are rare to import Combined with output theory.China has always attached great importance to primary school English education and has achieved great results.Through searching the domestic ChinaNet, it was found that there are as many as 1,500 literatures related to primary education.In recent years, primary school English teaching has been advancing continuously in reforms, but primary school English teaching methods suitable for Chinese situation have yet to be studied and verified.Language input theory and language output theory are currently influential and profound theories in second language acquisition theories at home and abroad.Their scientific nature and effectiveness have been proven through various practices.Many domestic scholars have also conducted research on how to apply input theory and output theory to foreign language teaching, but their research objects are concentrated in universities and middle schools.Few scholars combine these two theories with elementary school teaching, and few studies have combined input theory and output theory to solve teaching problems.Therefore, this article will be based on two theories of language input and output, combined with Fillmore's theory of children's cognitive development, to improve corresponding language input and output teaching methods for pupils of different ages.
Edge detection based on augmented lagrangian method for lowquality medical images

Medical images are useful for the treatment process. They contain a lot of information on displaying abnormalities in your body. The contour of medical images is a matter of interest. In there, edge detection is a process prepared for boundaries. Therefore, the edge detection of medical images is very important. Other previous methods must sacrifice time for the accurate results. It is because the medical images in the real world have many impurities. In this paper, I propose a method of detecting edges in medical images which have impurities by using augmented lagrangian method to improve the Canny algorithm. My algorithm improves the ability to detect edges faster. Compared with other recent methods, the proposed method is more efficient.
Data from Smartphones and Wearables

Wearables are wireless devices that we “wear” on our bodies [...]
A Riemannian Newton trust-region method for fitting Gaussian mixture models

Abstract Gaussian Mixture Models are a powerful tool in Data Science and Statistics that are mainly used for clustering and density approximation. The task of estimating the model parameters is in practice often solved by the expectation maximization (EM) algorithm which has its benefits in its simplicity and low per-iteration costs. However, the EM converges slowly if there is a large share of hidden information or overlapping clusters. Recent advances in Manifold Optimization for Gaussian Mixture Models have gained increasing interest. We introduce an explicit formula for the Riemannian Hessian for Gaussian Mixture Models. On top, we propose a new Riemannian Newton Trust-Region method which outperforms current approaches both in terms of runtime and number of iterations. We apply our method on clustering problems and density approximation tasks. Our method is very powerful for data with a large share of hidden information compared to existing methods.
Research on Biomechanical Simulation and Simulation of Badminton Splitting and Hanging Action Based on Edge Computing

Sports biomechanics refers to the science of the laws of mechanical motion produced in the process of biological movement. Its essence is to systematically and digitally reconstruct the fundamental attributes and characteristics of motion. At present, the research of sports biomechanics mainly focuses on the theoretical research of basic aspects and lacks the new technology of sports biomechanics digital simulation innovation and data measurement. This article takes the badminton chopping action as the research object and carries out biomechanical simulation and simulation research with the help of edge computing and genetic algorithm. First of all, this paper constructs a badminton chopping and hanging action system framework based on edge computing, so as to facilitate simulation and improve data transmission efficiency. Secondly, genetic algorithm is used in biomechanics simulation and simulation optimization and data analysis process. System testing and simulation verify the excellent performance of the biomechanical simulation of badminton chopping and hanging action established in this paper. The research will provide a reference for the academic circles to explore the field of sports biomechanics.
Assessing the Listening Proficiency of ESL Students in a Pandemic

The debate as to whether or not listening skills can be used as a testing device for measuring language proficiency—particularly grammatical competence—has been quite a controversial issue for the longest time. Yet, current research findings have not been entirely conclusive and sufficient either way. Hence, this particular study was conducted to address the problem given the existing research gap in the field. Firstly, the investigation sought to determine the listening proficiency level of 40 ESL freshmen in a state university for grammatical distinctions utilizing the mean score. Secondly, it identified the learners’ common errors and difficulties encountered in listening for grammatical distinctions using frequency and sentence analysis. To validate the results of the communicative listening test, a writing composition exercise was duly administered. The results showed that the respondents have very good proficiency levels in listening for grammatical distinctions in terms of inflectional patterns of singular and plural forms of subjects or predicates and good proficiency levels in terms of inflectional patterns for present and past tense of verbs. However, it was found that there still exist some problems in terms of more complex syntactic constructions. Results revealed that the respondents were confused and disrupted in some listening items when the test sentence is embedded with intervening words, phrases, or subordinate clauses. This problem may actually be indicative of socio-psycholinguistic factors to retain what they learned in an academic setting, but outside of it, the intervening words easily disrupted their concentration and memory. Lastly, the new normal caused by the COVID 19 pandemic has forced educators and students into a new learning environment: the online classroom. In recognition of this, the test was administered online, and the results similarly processed but with consideration of the electronic platform as a moderating variable. This shift in the modality of instruction affects ways of learning that have not necessarily been plotted before, as observed by EFL and ESL experts like Brown (2000) and Richards (2016). Thus, while it is not the primary focus of the study, this paper nevertheless highlights this new socio-technological aspect as a crucial moderator of listening assessment for better grammatical competence.
Klasifikasi Citra Pigmen Kanker Kulit Menggunakan Convolutional Neural Network

Skin cancer is a very common form of cancer that can be found in the United States with annual treatment costs exceeding $ 8 billion. New innovations in the classification and detection of skin cancer using artificial neural networks continue to develop to help the medical and medical world in analyzing images accurately and accurately. Researchers propose to classify skin cancer pigments by focusing on two classes, namely non-melanocytic malignant and benign, where the skin cancer category which is classified into the non-melanocytic class is Actinic keratoses, Basal cell carcinoma. While skin cancers that are classified into Benign are Benign keratosis like lesions, dermatofibrama, vascular lessions. The method used in this study is Convolutional Neural Network (CNN) with a model architecture using 8 Convolutional 2D layers which have filters (16, 16, 32, 32, 64, 64, 128, 128). The first input layers are (20,20). and the following layers (5,5 and 3,3), the types of pooling used in this study are MaxPooling and AveragePooling. The Fully Connected Layer used is (256, 128) and uses a Dropout (0.2). The dataset is obtained from the International Skin Imaging Collaboration (ISIC) 2018 with a total of 10015 images. Based on the results of the test and evaluation reports, an accuracy of 75% is obtained. with the highest precision and recall values ​​found in the Benign class, namely 0.80 and 0.82 respectively and the f1_score value of 0.81.&#x0D;
THE TRANSLATION OF ENGLISH NOUN PHRASE INTO INDONESIAN

&lt;p&gt;Many Indonesian’s students face the difficulties in translating English noun phrase into Indonesian. English and Indonesia have different structure. Meanwhile, one of the important elements in building a sentence is noun phrase. English noun phrases have some possibilities of translation result from the source language (SL) into the target lagnuage, Indonesian (TL). Hence, the researcher does the research which is entitled The Translation of English Noun Phrase Into Idonesian. The aims of this research are to find out the translations of English noun phrases into Indonesian. This research uses qualitative method. The source of data is “Sidney Sheldon's Memory of Midnight” and its translated version, “Padang Bayang Kelabu”, by Budijanto T. Pramono. The result of this research shows that there are four categories of translating English noun phrases into Indonesian, namely English noun phrases translated using the word yang, Plural English noun phrases translated into singular, English noun phrases translated using the word, and Elnglish noun phrases which are not translated literally. The conclusion of this research also shows that the change in the form and orders of the nouns phrases which is a noun as the head and also the sequence of modifiers, meanwhile without changing its meanings.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Implementing Group Investigation to Learn Reading for Senior High School Students

Studentsâ€™ boredom when it comes to reading long texts gives an impact on their comprehension of the textâ€™s main idea due to the use of traditional teaching and learning techniques. Therefore, this study aims to describe how Group Investigation (GI) is implemented in teaching reading, as well as to find out the studentsâ€™ responses toward GI in learning reading. This research focuses on finding out the evidence of how far the method affects students reading ability. The mixed-method between qualitative and quantitative approaches were used to conduct this research. The data obtained were from observation, questionnaire, interview, and documentation. The GI was conducted with group discussion and peer review. The result showed that 84.21% of students gave positive respond toward GI implementation. Based on the interview, students felt they were more motivated, engaged, and enjoyed during the reading skill lesson. Thus, GI is a good alternative to learn reading and help studentsâ€™ reading comprehension as well as the class environment to be more active and joyful.
Pendampingan Guru TK PAUD dalam Pembuatan Media Pembelajaran Interaktif Berbasis Powtoon dan Microsoft Office Powerpoint

The Covid 19 pandemic period with community service in the form of training for PAUD kindergarten teachers in Paiton Probolinggo sub-district in making interactive learning media using powtoons and powerpoints is very useful to help teachers provide learning material online so that students don't get bored learning at home. The material is also varied and interactive which is useful to attract the enthusiasm of the students to study harder.
COMPASS: Unsupervised and online clustering of complex human activities from smartphone sensors

Modern mobile devices are able to provide context-aware and personalized services to the users, by leveraging on their sensing capabilities to infer the activity and situation in which a person is currently involved. Current solutions for context-recognition rely on annotated data and expertsÃ¢ÂÂ knowledge to predict the user context. In addition, their prediction ability is strongly limited to the set of situations considered during the model training or definition. However, in a mobile environment, the user context continuously evolves, and it cannot be merely restricted to a set of predefined classes. To overcome these limitations, we propose COMPASS, a novel unsupervised and online clustering algorithm aimed at identifying the user context in mobile environments based on the stream of high-dimensional data generated by smartphone sensors. COMPASScan distinguish an arbitrary number of userÃ¢ÂÂs contexts from the sensorsÃ¢ÂÂ data, without defining a priori the collection of expected situations. This key feature makes it a general-purpose solution to provide context-aware features to mobile devices, supporting a broad set of applications. Experimental results on 18 synthetic and 2 real-world datasets show that COMPASS correctly identifies the user context from the sensorsÃ¢ÂÂ data stream, and outperforms the state-of-the-art solutions in terms of both clusters configuration and purity. Eventually, we evaluate its performances in terms of execution time and the results show that COMPASS can process 1000 high-dimensional samples in less than 20 seconds, while the reference solutions require about 60 minutes to evaluate the entire dataset. Keywords: Context-awareness, Unsupervised Machine Learning, Online Clustering, Mobile Computing
Pelatihan Pemanfaatan Teknologi Google Drive dan Blogs bagi Pengawas Sekolah Dasar

In the world of education, we must quickly obtain information and be fast in sending the requested information. Indonesia is one of the developing countries that is trying to take advantage of this digitization system. With the digitization system, it is hoped that it will make it easier to send and convey information to relevant agencies in need. This activity is carried out with the aim of providing training and technical implementation so that school supervisors can take advantage of supporting media and provide useful new knowledge. The method used in this community service is the seminar method. The results obtained after this activity were that the participants were able to apply google drive and create blogs independently, in turn, and under supervision. The conclusion of the research results is that school supervisors get new knowledge, are able to operate and create google drives and blogs, understand that adding data storage patterns and data management can be done easily and efficiently.
MERANCANG PEMBELAJARAN DARING BAGI ANAK USIA DINI

s the Covid-19 pandemic escalated in early 2020, Indonesia suspended all activities in school. Approximately 45 million students in Indonesia were unable to attend schools, including early childhood students. As a result, the Indonesian government encourages learning activities to be carried out online or remotely. This study aims to develop a framework that can be used in online learning for early childhood in Indonesia during the Covid-19 pandemic. The methodology used is a literature study on online learning in early childhood, which includes literature review and empirical research. Online learning in Indonesia is faced with various challenges, such as the disparity in the quality of education in Java and outside Java, uneven internet access, and lack of ICT skills raise concerns over the quality of online learning being implemented across the nation. From the perspective of early childhood education, online learning is relatively new. There are only a few research studies that identify effective practices for online learning for early childhood. It can also be challenging for teachers who new to online learning to choose what strategies work best or where to start. Moreover, there is a heated debate about whether online learning is appropriate for early childhood. Despite all these limitations and debates, this study proposes a framework in online learning which focuses more on the pedagogical aspects rather than the technological aspects.
Writing research proposal

A research proposal is a written document specifying what a researcher intends to study and written before beginning the research which communicate research problem and proposed methods of solving it. A research proposal should be built on a concrete plan to conduct academic or scientific research. Types of proposals include internal, external, solicited, unsolicited, preproposals, continuation or non-competing and renewal or competing. Purpose of a Research Proposal is to convince the organization and readers .Characteristics need to be based on attention, interest, desire and action. Qualities of good proposal include specific scope, realistic nature, appropriate credentials, fulfill needs, beneficial, short and simple. Need for good preparation of proposal is vital in formulating proposal, assisting researcher and improving the research quality. Functions of Proposal consists to synthesize critical thinking, clarifies own thinking, refine proposed research, communicate ideas, open thinking and negotiation between researcher and involved parties. Basic composition of Proposal needs a beginning, middle and an end. Typical proposal format includes title, abstract, introduction, background, preliminary studies, research methodology, budget, curriculum vitae for principal investigators, appendix and human subjects. Proposal development strategies and writing tips includes use of outline , listings, visuals, forecasting , internal summaries , significant issues , sequencing components , review , edit , proof read , avoiding overkill point and errors . Proposals are turned down when problems are trivial, complex, nebulous, diffuse without clear aim, lack of sufficient evidence, imagination and originality.
Tricks of the trade or situated literacy – disciplinary reading literacy practices in vocational education

In upper secondary school vocational education in Sweden practices of reading is an integrated part of teaching in vocational subjects. This study aims to gain a deeper understanding of vocational reading literacy practices, and how reading literacy practices are recontextualised into upper secondary school contexts. Three subsequent research questions specify the study: What kinds of texts are used? How is reading done and talked about? What purposes for reading (why) emerge? Theoretically, the study draws from New Literacy Studies (Barton, 2007). Nine vocational teachers were interviewed regarding reading in childcare, technical, culinary, and industrial vocations. The informants were also observed when teaching in four student groups in three upper secondary schools. Analyses were made of text categories, genres (Rose &amp; Martin, 2012), reading literacy events, text movability (Hallesson &amp; Visén, 2018; Liberg et al., 2012), and reading types (cf. Rosenblatt, 1995). The results reveal a wide range of text categories, from general to specialised texts, specific practice-oriented reading events, reading types that differ depending on vocational context. A conclusion is that disciplinary reading practices in vocational contexts are complex and require critical readers. Therefore, further knowledge of reading in vocational education might contribute to the teaching of disciplinary reading literacy in upper secondary vocational education.