Reviewerly/exHarmony huggingface dataset:
Fictionalize, construct and deconstruct for an Allochronotopic world: In search of the lost dimension

Questioning the relationship between design and citizenship is by no means a contemporary issue. Since the industrial revolution, design has never ceased to be at the heart of a multiple debate, navigating between political, aesthetic, ecological and societal discourses. Discussing this relationship between design and citizenship therefore amounts to studying the various approaches that contribute to making design a citizen project, or even an activist project.It is an open invitation between designers and citizens, in order to make and perfect the world, to imagine a common future, a habitable world for all, and a new utopia both individual and collective.For this, classic design approaches seem to be lost in the face of the challenges that our world is encountering, and we know that for each challenge, for each problematic, new methods and new reflections are needed, but also knowing how to deconstruct in order to build better.
IMPROVING STUDENTS’ ACHIEVEMENT MOTIVATION THROUGH ROLEPLAY

The background of the study is the low achievement motivation of the studentsin which they are unable to show their potential optimally. Thisstudy aims to increase the students’achievementmotivation throughroleplay. The study employed a quasi-experimental method with a nonequivalent (pretest and posttest) control group design. The participants of the study were the grade X students ofSMAN 6 Bandung in academic year 2019/2020. The result shows that students’ achievement motivation is increased through role play. Role playtechniqueis able to provide changes in the students’ attitudes which are supported by the results of the assessment conducted on selected students as assessors.
A Study on Brand Awareness on Water Purifiers in Coimbatore City

Water is the most essential thing needed for the living beings to live. Contact to pure water has become very rare. So we are in the position of using some water purifiers. So many water purifiers have come into the market. Brand awareness for water purifiers has been conducted. The researcher collected data with the help of well-structured questionnaire. Hundred and fifty samples were taken from consumers in Coimbatore city for this study. The data subjected to analysis and the findings of the study reveals that the respondents are satisfied with the brand awareness and satisfaction level of the consumers. The highest brand awareness was showed by Aquaguard.
DIGITAL RESOURCES FOR MONITORING AND EVALUATING STUDENTS’ OUTCOMES IN THE CONTEXT OF DISTANCE LEARNING

Today Russia, like many other countries, is making a rapid transition of educational organizations from traditional forms to distance learning.Every school, university, teacher is faced with the task of urgently mastering the most efficient formats of distance teaching and learning.The authors analyzed the didactic capabilities of various digital educational platforms and Internet services for effective monitoring and evaluation of students ' learning outcomes in the context of distance learning.The study was based on a practice-oriented approach to the use of digital resources and means of evaluating students' academic achievements presented on each platform.The following issues were considered: general characteristics of the platform's capabilities, registration procedures, specific tools for evaluating learning outcomes.All digital tools for monitoring and evaluating students' learning outcomes were divided into some categories: services and tools for online testing, for evaluating written works, oral surveys, project activities, online visualization tools for assessment of students' achievements, services and tools for reflection procedures.The study resulted in recommendations for teachers on the use of digital resources for monitoring and evaluating students' learning outcomes in the context of distance learning.
Impact of Electronic Publishing in Higher Education Library Services in Nigeria

In this fast-changing world, Academic library users seem to have less time for accumulating reading and learning materials.Reading the whole book, articles, and sourcing information traditionally has become a problem.It has become essential for library professionals to provide information to the users within the shortest possible time through electronic resources using the appropriate information and communication technologies [ICTs].Electronic publishing has become common in knowledge acquisition and it is complimenting printed versions.Besides the web-based resources, there is also much non-network electronic publishing such as Encyclopedias/ Dictionaries/ Directories in CD Rom and DVD, technical and reference publications accessible through mobile phones and other electronic devices.This paper discusses the impact of electronic publishing on academic library services to its users.It conceptualizes the term electronic publishing, identifies the impact of electronic publishing on library services as user satisfaction, mobility and flexibility of information sources, encouraging collaborative work, maintenance and accuracy of publishing works, increased information sources in the library collection, adds value to library services, etc.The paper outlined some benefits and problems of electronic publishing in today's library services.It also discussed the findings observed.The paper is an opinion paper; it investigates the topic using observation research method and available library resources.The significance of this study shows that electronic publishing has come to stay.It will continue to complement the traditional method of library services even become more preferred and relevant in information resources and services rendered in academic libraries.
"We must remember that before the appearance of Peter Kapitsa, we were the first and only laboratory in the USSR ..."

Lev Vasilievich Shubnikov was born in 1901 in St. Petersburg. His father, Vasily Vasilievich, worked as an accountant, and his mother, Lyubov Sergeyevna, ran a household. In 1911, Lev Shubnikov was enrolled in one of the best St. Petersburg secondary schools - the Maria Andreevna Lentovskaya gymnasium. He studied diligently, as evidenced by the archival documents of the gymnasium. In the report card for graduation, grade 8, in the column “physics” it says “there is a great interest in the subject”. In 1918, Shubnikov entered the Petrograd University at the Faculty of Physics and Mathematics (specialty “Physics”). But he was the only recruiting physics student of this year, and he had to listen to lectures first with those who were a year older, then - a younger course. An illustration of the student life of those years is the memoirs of his classmate Olga Nikolaevna Trapeznikova, doctor of physical and mathematical sciences: “In 1919 I entered the physical department of Petrograd University. I met Lev Vasilievich at the university ... Life was difficult. After the lectures, Lev Vasilievich compiled a list of those present, the lecturer signed, and we all were given a thin piece of bread with jam - we called it tea allowance ... In 1919, the Optical Institute already existed, and D.S. Rozhdestvensky arranged for all senior students ... laboratory assistants. Separate building GOI [State Optical Institute. - Note A.T.] then did not yet have and was housed at the University's Physics Institute. All laboratory assistants received the so-called rations, and this supported them very much. Teachers received the same ration. ” The following historical facts deserve mention: the First World War, revolution, civil war and intervention gave rise to devastation, famine, cold in the country. The following extracts from government documents of that time allow you to clearly describe the then realities.
Research on the Teaching Reform of Biochemistry Course Based on Constructivism Theory

is one of the most important professional basic courses in agricultural and forestry colleges. Combining the teaching experience of the Biochemistry course in recent years, we have reformed our school’s course with a constructivist teaching method, which is of great significance for improving the teaching quality of the course and provides a useful reference for training comprehensive talents.
PENERAPAN MEDIA PEMBELAJARAN ADOBE FLASH CS 6 DI KELAS X SMA KAMPUS FKIP UHN PEMATANGSIANTAR

Abstract Abstract: Learning with the use of instructional media that is not appropriate is still often the case, so learning is not in line with expectations. This is what happened at Pematangsiantar FKIP UHN Senior High School. This article aims to provide an overview of the use of Adobe Flash CS 6 media in the learning process at the FKIP UHN Pematangsiantar Campus. Adobe Flash CS 6 is used for making animations that are equipped with attractive displays in the form of applications to design and create interactive learning media. Student learning outcomes in writing the paragraph description at the pretest stage of 30 students 11 declared complete and 19 students declared incomplete with a mean score of 58.02 and at the post-test stage of 30 students 26 students declared complete 4 students declared incomplete with an average value 83, 35. This proves that learning media by using Adobe Flash CS 6 can improve learning outcomes in writing paragraph descriptions for grade X students of the FKIP UHN Pematangsiantar campus. Keywords: Learning Media, Adobe Flash CS 6, Paragraph Description
Automatic Summary Extraction in Texts Using Genetic Algorithms

Automatic text summarization is one of the applications of natural language processing that has been studied for a long time. The increase in the amount of information in web resources has increased the need for automatic text summarization methods. It is difficult to design a system to produce abstracts created by human hands. For this reason, many researchers have focused on extracting sentences or paragraphs, which is a kind of summary. In this study, we introduce a method that was created using genetic algorithms to generate such summaries. After the texts are preprocessed, vocabulary is created and given as input to the proposed method. The sentence selection based on Genetic Algorithm is used to summarize and after that the summary is created, it is evaluated using the fitness function. In our first model, the fitness function is based on the frequency of each word and the word pair frequencies. The results of the applied model are discussed using the same dataset in another method based on tf-idf, with precision, recall, fscore and Rouge metrics.
On Solving String Constraints

Software systems are deeply involved in diverse human activities as everyone uses a variety of software systems on a daily basis. It is essential to guarantee that software systems all work correct ...
Flow cytometry diagnosis of acute leukemia and comparison of cytomorphological diagnosis with Flow cytometry diagnosis

Flow cytometry diagnosis of acute leukemia and comparison of cytomorphological diagnosis with Flow cytometry diagnosis
Social Network Mental Disorders Detection via Online Social Media Mining

Social Network Mental Disorder Detection” or “SNMD” is an approach to analyse data and retrieve sentiment that it embodies. Twitter SNMD analysis is an application of sentiment analysis on data from Twitter (tweets), in order to extract sentiments conveyed by the user. In this paper, we aim to review some papers regarding research in sentiment analysis on Twitter, describing the methodologies adopted and models applied, along with describing a generalized Python based approach. A prototype system is developed and tested.
Bridging Question Answering and Discourse The case of Multi-Sentence Questions

In human question-answering (QA), questions are often expressed in the form of multiple sentences. One can see this in both spoken QA interactions, when one person asks a question of another, and written QA, such as are found on-line in FAQs and in what are called ”Community Question-Answering Forums”. Computer-based QA has taken the challenge of these ”multi-sentence questions” to be that of breaking them into an appropriately ordered sequence of separate questions, with both the previous questions and their answers serving as context for the next question. This can be seen, for example, in two recent workshops at AAAI called ”Reasoning for Complex QA” [https://rcqa-ws.github.io/program/]. We claim that, while appropriate for some types of ”multi-sentence questions” (MSQs), it is not appropriate for all, because they are essentially different types of discourse. To support this claim, we need to provide evidence that: • different types of MSQs are answered differently in written or spoken QA between people; • people can (and do) distinguish these different types of MSQs; • systems can be made to both distinguish different types of MSQs and provide appropriate answers.
Representing Earthquake Accelerogram Records for CNN Utilization

In this study, a spectrogram based false color representation of earthquake accelergrams is proposed and its usability for both human investigation and its application in convolutional networks are discussed. By using more than forty two thousand earthquake records open to the public, an epicenter clustering algorithm was employed, and it was observed that earthquakes in similar clusters produce similar representations. The prospective purpose of the proposed representation is to estimate the epicenter of an earthquake by processing the accelerograms recorded in a single station using convolutional networks.
Visual Analysis of Spatial Metadata

Spatial data gathered from various data sources contains huge amount of metadata.Large amount of metadata creates problem for the user to get insight into the required data for any specific application.The problem of selecting required data can be solved by applying data query and spatial query in GIS tool.This paper is attempted to select, visualize and analyze spatial metadata by performing query operations followed by visualizing techniques and plotting graphs to find the densely populated areas in Gurugram District.Spatial data of Gurugram District having large set of metadata information is added to QGIS tool.Query operations followed by dense pixel display visualization technique is used in GIS for better understanding of result data set.The result set having Gurgugram City, Farukhnagar, Sohna, Pataudi and Manesar are further analyzed by plotting graphs.
Enhanced Constrained Local Models (CLM) for Facial Feature Detection

Face land-marking, defined as detecting and locating certain distinctive points on the face, is a key goal between a big amounts of ventures that result in face-preparing activities ranging from biometric recognition to mental state comprehension.Despite its applied simplicity, this problem has turned out to be highly tested due to inherent facial variability as well as the enormous amount of puzzling variables such as pose, expression, illumination and occlusions.An integrated fitting model is developed that improve the power of Constrained Local Models (CLM), and obtained an innovative result on the problem of feature detection.The experiment results have indicated that the proposed model is effective in facial features extraction and get result better than Constrained Local Models (CLM).
KHAZANAH EKOLEKSIKON KEDANAUAN DALAM GUYUB TUTUR BAHASA BATAK TOBA

This study aims to describe the ecolexicon treasures which represent the scope of Lake Toba. The ecolinguistic theory is used in this study. The data in this study are lexicons related to the scope of siltation. Data collection methods used are interview and observation methods. The analysis used a qualitative descriptive method. The results revealed 29 lexica related to the silt environment with three categories of ecolexicon entities namely flora ecolexicon, fauna ecolexicon, and fishing gear ecolexicon. The lexicon category consists of nouns and verbs. There are lexicon forms that are basic, derivative forms in the form of repeated words, and compound words.&#x0D; Keywords: Fishing Gear; Lake Toba; Ekoleksikon; Fauna; Flora
The The Relationship between Writing Anxiety and Writing Achievement: A Case of One Islamic University in Palembang

This study investigated the relationship between writing anxiety and writing achievement, and investigated the influence of writing anxiety on writing achievement of the students of the English department of one Islamic university in Palembang. The research was a quantitative research. The sample of this study was all of the sixth semester students. The total number of the students was 114 students. Since twelve students were absent, the sample of this study was 102 students. The data were collected by using the second language writing anxiety inventory (SLWAI) and writing test. Descriptive statistics, Pearson Product Moment correlation and regression analysis were used to find out the correlation and the influence between variables. The result of the analysis showed that there was a significant correlation between students’ writing anxiety and essay writing achievement with r-obtained (.276) which was higher than the r-table (.194). Besides, there was also a significant influence of writing anxiety on essay writing achievement with 7,6 %. This study could have implications for English language teachers or lecturers, learners, and text book writers.
The Security Establishment for Cloud Computing through CASE Study

Cloud computing is rapidly increasing for achieving comfortable computing. Cloud computing has essentially security vulnerability of software and hardware. For achieving secure cloud computing, the vulnerabilities of cloud computing could be analyzed in a various and systematic approach from perspective of the service designer, service operator, the designer of cloud security and certifiers of cloud systems. The paper investigates the vulnerabilities and security controls from the perspective of administration, and systems. For achieving the secure operation of cloud computing, this paper analyzes technological security vulnerability, operational weakness and the security issues in an enterprise. Based on analysis, the paper suggests secure establishments for cloud computing.
COMPARISON OF GENERATIVE ADVERSARIAL NETWORKS IN MEDICAL IMAGING APPLICATIONS - MR to CT image synthesis

Cancer is one of the leading causes of death worldwide with about half of all cancer patients undergoing radiation therapy, either as a standalone treatmentor in combination with other methods such ...
Introduction to Deep Learning

We introduce the basic concepts of deep learning. We use TensorFlow 2.x, the Google cloud service, and Google Drive interaction to make the concepts come alive with Python coding examples.
State Estimation and Optimal Control for Racing Drones: In search of control algorithms for competing against human pilots

The e-sport of drone-racing involves human pilots to race against time. Recently, drone races have also gone fully-autonomous. As a result, these agile robotic platforms not only pose challenges of flying fast to the participating pilots but also create challenges for the flight control computers. As a result, the concept of autonomous drone racing has gained significant attention from research groups around the world. These races aim to push the boundaries of perception and control algorithms, while simultaneously mitigating the real-world uncertainty of execution on autonomous systems. While perception algorithms face challenges due to limited feature detection, high motion blur and computational requirements, control algorithms face challenges of convergence to the desired trajectories that are planned out in the race arena. This thesis addresses the challenge of control for racing, which is responsible for guiding the drone to design and track desired trajectories for fast flights. The control sub-modules of racing drones are responsible for generating trajectories for fastest possible flights and also for obeying these generated commands. Additionally, the requirement of limited algorithm complexity is added to match the philosophy of computationally efficient algorithms at the Micro Air Vehicle Laboratory. However, to address the requirements of these control sub-modules, the prerequisite of accurate state estimation always persists. Assigning control actions to a robot without information on the current state of the robot is rather unwise. As a result, this thesis first aims to perform accurate state estimation before designing controllers for time-optimal trajectory tracking. Again, another constraint of using only a single sensor (i.e. the Inertial Measurement Unit) is added to make the drone race in GPS denied environments. As a result, the goal of the thesis is two-fold i.e. making accurate state estimators while using limited sensors and designing optimal controllers for taking the quickest trajectory through the arena. To achieve the goal of accurate state estimation, existing techniques are studied. Several features from each of these methods are selected to design a new estimator. To achieve the goal of time-optimal trajectory generation, firstly, the flaws of traditional control methods are pointed out. A new optimal-control technique is proposed, which makes use of fundamental principles dating back several decades. This principle is then fused along with present-day optimization solvers. Finally, the proposed state estimation and control algorithm are compared against prior (benchmarked) techniques in the area. Compared to existing optimal control techniques, the proposed algorithm leads to faster trajectories and consumes less computational power onboard.
Interpretation of Sentiment Analysis in Aeschylus’s Greek Tragedy

Recent advancements in NLP and machine learning have created unique challenges and opportunities for digital humanities research. In particular, there are ample opportunities for NLP and machine learning researchers to analyze data from literary texts and to broaden our understanding of human sentiment in classical Greek tragedy. In this paper, we will explore the challenges and benefits from the human and machine collaboration for sentiment analysis in Greek tragedy and address some open questions related to the collaborative annotation for the sentiments in literary texts. We focus primarily on (i) an analysis of the challenges in sentiment analysis tasks for humans and machines, and (ii) whether consistent annotation results are generated from the multiple human annotators and multiple machine annotators. For human annotators, we have used a survey-based approach with about 60 college students. We have selected three popular sentiment analysis tools for machine annotators, including VADER, CoreNLP’s sentiment annotator, and TextBlob. We have conducted a qualitative and quantitative evaluation and confirmed our observations on sentiments in Greek tragedy.
Recurrence ranks and moment sequences

We introduce the “moment rank” and “unitary rank” of numerical sequences, close relatives of linear-recursive order. We show that both parameters can be characterized by a broad set of criteria involving moments of measures, types of recurrence relations, Hankel matrix factorizations, Waring rank, analytic properties of generating functions, and algebraic properties of polynomial ideals. In the process, we solve the “complex finite-atomic” and “integral finite-atomic” moment problems: which sequences arise as the moments of a finite-atomic complex-/integer-valued measures on ℂ?