Reviewerly/exHarmony huggingface dataset:
Elastic-Degenerate String Matching with 1 Error

An elastic-degenerate (ED) string is a sequence of n finite sets of strings of total length N, introduced to represent a set of related DNA sequences, also known as a pangenome. The ED string matching (EDSM) problem consists in reporting all occurrences of a pattern of length m in an ED text. The EDSM problem has recently received some attention by the combinatorial pattern matching community, culminating in an $$\mathcal {\tilde{O}}(nm^{\omega -1})+\mathcal {O}(N)$$ -time algorithm [Bernardini et al., SIAM J. Comput. 2022], where $$\omega $$ denotes the matrix multiplication exponent and the $$\mathcal {\tilde{O}}(\cdot )$$ notation suppresses polylog factors. In the k-EDSM problem, the approximate version of EDSM, we are asked to report all pattern occurrences with at most k errors. k-EDSM can be solved in $$\mathcal {O}(k^2mG+kN)$$ time under edit distance, where G denotes the total number of strings in the ED text [Bernardini et al., Theor. Comput. Sci. 2020]. Unfortunately, G is only bounded by N, and so even for $$k=1$$ , the existing algorithm runs in $$\varOmega (mN)$$ time in the worst case. Here we make progress in this direction. We show that 1-EDSM can be solved in $$\mathcal {O}((nm^2 + N)\log m)$$ or $$\mathcal {O}(nm^3 + N)$$ time under edit distance. For the decision version of the problem, we present a faster $$\mathcal {O}(nm^2\sqrt{\log m} + N\log \log m)$$ -time algorithm. Our algorithms rely on non-trivial reductions from 1-EDSM to special instances of classic computational geometry problems (2d rectangle stabbing or range emptiness), which we show how to solve efficiently.
A Study of Novel Algebraic Game Over Some Finite Groups and Open Problems

This paper uses the algebraic structure of the group to introduce a novel algebraic game with three players that occurs over finite groups. Also, it analyzes this game over some finite groups with orders up to ten.
A method for identity authentication and data protection of terminal storage devices of power internet of things

针对电力物联网智能终端与数据中心通信链路低带宽、高延迟的特点, 结合泛在物联的网络环境中数据同步和共享的安全需求, 以实现通信资源受限情况下尽量减少更新文件传输代价为目标, 设计了一种实现轻量级信息动态安全存储与验证的方法, 确保了终端存储设备的信息安全。该方法通过动态证明存储技术对数据中心存储密态文件完整性进行验证, 并且支持对密态文件的动态修改处理和增量更新。对于修改的文件, 仅传输修改部分的数据块到数据中心完成更新, 无需重新上传整个文件, 有效降低了验证的计算开销和传输的通信开销。
IMPROVING STUDENTS MOTIVATION IN LEARNING VOCABULARY THROUGH SELF MADE SONG AT SMP N 1 MUARA BUNGO

This research aims at find out the improvement of students’ learning vocabulary by using self made song. The method of this research was classroom action research (CAR) which consisted of planing, actioning, observing and reflecting. The data of this research will be analyzed by using two methods of data analysis. Quantitative data analysis used to examine and interprete data from task and speaking test. The data taken from observation, field note and interview will be analyzed by using qualitative data analysis. Teaching vocabulary through song gave more positive effect for improving students’ motivation in learning English. The technique will gives different learning experience for the students, establishes students’ confidence, makes the students interest in English class, reduces their anxiety, and makes them more happily. It expected proved that students’ song is more effective than conventional method. By applying this song, theteacher suppose can be more creative in updating the learning in order to produce a better result in English learning achievement especially vocabulary. Besides that, song can make the teaching and learning process more fun and enjoyable.
Increasing Third Grade’s Mastery of Simple Present Tense Using Flashcards

Mastering the simple present tense can be very difficult for EFL young learners because tenses contain abstract concepts that do not exist in the first language of EFL learners. The third graders at Permai Elementary School, North Jakarta, also encountered problems in mastering the tense when they are taught using the lecture method. To solve the problem, action research was conducted by using flashcards. The action research was carried out in two cycles in August to October 2019. Involving 30 third graders, quantitative and qualitative data were collected employing tests, observation, and questionnaires. The findings revealed that flashcards use managed to increase the students’ achievement in learning the simple present tense. The mean scores of the three tests administered during the action research increased from 36.69 to 65.73 and to 75.00. The use of flashcards also changed the students’ attitude from mainly negative to mainly positive. The mean of the positive responses increased from 20.4% in the pre-action survey to 83.89% in the post-action survey.
The ineffectiveness of domain-specific word embedding models for GUI test reuse

Reusing test cases across similar applications can significantly reduce testing effort. Some recent test reuse approaches successfully exploit word embedding models to semantically match GUI events across Android apps. It is a common understanding that word embedding models trained on domain-specific corpora perform better on specialized tasks. Our recent study confirms this understanding in the context of Android test reuse. It shows that word embedding models trained with a corpus of the English descriptions of apps in the Google Play Store lead to a better semantic matching of Android GUI events. Motivated by this result, we hypothesize that we can further increase the effectiveness of semantic matching by partitioning the corpus of app descriptions into domain-specific corpora. Our experiments do not confirm our hypothesis. This paper sheds light on this unexpected negative result that contradicts the common understanding.
UPAYA MENINGKATKAN KEMAMPUAN MEMBACA PEMAHAMAN SISWA KELAS VI SD DENGAN MODEL PEMBELAJARAN &lt;em&gt;COOPERATIVE SCRIPT&lt;/em

The purpose of this study was to determine the increase in reading comprehension skills in grade VI SD Negeri 3 Bailangu Sekayu by using a cooperative script model in learning Indonesian language and literature.The subjects of this study were all grade VI students of SD Negeri 3 Bailangu Sekayu, in the even semester of 2014/2015 academic year, totaling 32 students, consisting of 15 female students and 17 male students.The research method used in this research is a classroom action research method with quantitative data analyzers.The data collection technique used observation and test techniques.The data were analyzed by calculating the test scores per cycle.From the results of the study it was concluded that the student activity was very good as long as the cooperative script learning model was implemented and increased every time a cycle was held.The percentage of student learning activity results from cycle I and cycle II obtained an average final score of 84.88%.And the percentage value of student learning outcomes, from cycle I obtained an average value of 75 and cycle II obtained an average value of 88,125.
Enhancing Trust in 5G

The new generation of mobile technology, 5G, connects everything and everyone, providing new opportunities for customers, society, and industries. However, the trust related to the reliability and security of 5G equipment and systems has been the main topic of several discussions. Hence, in this paper, we introduce the Network Equipment Security Scheme (NESAS), highlighting its main features and benefits in implementing 5G. Then we expand our research for the 5G edge of the network use cases involving routing algorithms. Blockchain-based models can be employed to facilitate the exchange of automotive and traffic data. Our work identifies and debates significant open research problems that the research community should address and provide answers to to fully harness the considerable benefits for upcoming 5G networks and services. We conclude that Blockchain can serve to transfer information between participants in a safe, dependable, and controlled manner that is constantly monitored and evaluated with the help of specialized tools.
Pembelajaran Berbasis Multimedia Interaktif Mahasiswa Di Perguruan Tinggi

This study examines the interactive multimedia-based learning of students in higher education. The method used in this research study is library research. The procedure of this research using the stages of library research include; (1) selecting study topics, (2) exploring information, (3) formulating the focus of writing, (4) collecting data sources, (5) preparing data presentations, and (6) compiling reports in the form of research journal descriptions. This research data collection technique relies on documentation sources by exploring sources related to the focus of the problem being studied. The data analysis technique uses content analysis to obtain the substance from appropriate and verifiable references based on the source through the stages of sorting and comparing various definitions and opinions from existing literature sources to achieve the suitability of relevant sources. The results of the analysis of this study can be concluded that; First, learning is an important process that greatly determines behavior change and improvement. In the context of higher education learning, lecturers are required to be more adaptive to various learning tools or media. Learning in higher education will be more interesting by using learning media. Second, learning media plays a very effective role. One type of this media is interactive multimedia whose contents combine various forms of media such as text, audio, and video to make it easier for students to use it in learning. Lecturers must be more innovative in using this interactive multimedia and must be skilled at technological developments.
Analisis Keterampilan Berbicara Siswa Kelas Rendah pada Pembelajaran Bahasa Indonesia di SD Negeri Pasar Kemis III

Speaking skill is one of the language skills that must be mastered by students because speaking competence is the most important component in learning Indonesian language learning objectives, but most students consider speaking skill as a difficult skill according to second grade students of SD Negeri Pasarkemis III. The problem discussed in this study is how the students' speaking skills when completing pictorial conversations. This study is to describe the speaking skills of students in grade II at SD Negeri Pasarkemis III, Tangerang Regency. This research uses qualitative research with 27 students in class II and teachers in class II as the subject. The technique used to collect data is data reduction, data presentation and drawing conclusions. The conclusion of this study is that the things that cause a lack of speaking skills in students are due to shyness, lack of confidence, nervousness, and lack of practice and the learning process is still not using the media. Based on the analysis of the test results, there were 11 students with a percentage of 55% whose speaking skills were very poor, namely in the aspects of fluency, sentence structure, communicative/eye contact.
IMPACT OF FORENSIC ACCOUNTING KNOWLEDGE ON FRAUD DETECTION: WITH SPECIAL REFERENCE TO SRI LANKAN CONTEXT

There is a tendency in the growth of financial frauds across the world and to uncover those frauds, main concideration has been drawn towards the forensic accounting concepts. Consequenttly, that has been lead to conduct a study to examine the impact between forensic accounting knowledge on fraud detection.The researcher has adoped the dedcuctive approach for this study and the primary data has been collected from 165 accounting practitioners in Sri lanka. Fraud detection has been considered as the dependent variable while accounting skills, legal background, knowledge of procedures, and forensic accounting knowledge have been considered the independent variables. For the analysis purpose, descriptive statistics, factor analysis and inferential statistics such as multiple linear regression have been adopted. The findings of the study revealed that there is a significant impact in between the accounting skills, knowledge of procedures and knowledge of forensic accounting on fraud detection while there is no any significant impact between the legal background and the fraud detection.
PEMANFAATAN APLIKASI WAVEPAD PADA PEMBELAJARAN ISTIMA’ DI MADRASAH TSANAWIYAH PSA SULIT AIR KELAS VII

Current technological developments can bring changes in all sectors, such as in the education sector which can make it easier for an educator to transfer their knowledge through the media used in Arabic language learning. The process of transferring knowledge is usually done face-to-face, but because of these changes and developments, the process of delivering knowledge is done virtually through learning media. Wavepad as one of the media that can be accessed by educators to facilitate the learning process that can improve the skills of an educator through the media he developed. An educator can also develop a mindset through these media. The method used in this study is a qualitative method, which in this method is carried out by conducting interviews with these students and analyzing and collecting student data in MTS PSA difficult water. The indicator that can be successful from this research is to add insight to what is being studied in educational institutions. The results obtained from this research activity are that researchers can develop new insights and ideas, so that they can come up with creative ideas. The researcher also hopes that educators can take advantage of the wavepad application in Arabic language learning, especially for maharah istima 'which is liked by students, and students can be enthusiastic in participating in the learning process.
Policy Analysis of the Arrangement and Equity of Public Elementary School Teachers (SD) Binjai

This study aims to analyze the structuring and distribution policy of PJOK teachers at public elementary schools in Binjai City.This study used a descriptive qualitative method.The objects in this study consists of 119 public elementary schools in Binjai Municipality.Data collection techniques in this study were carried out by means of observation, interviews and documentation studies.Data analysis uses tabulations and percentages as the basis for data interpretation and descriptions in order to make reports.The results of this study indicate that from the aspect of the adequacy of the findings of the data in the field, it is known that there are 5 sub-districts in Binjai City with a total of 119 public elementary schools.The distribution of PJOK teachers in Binjai Municipality can be said to be unequal, this can be seen from the exposure of research data which shows that there are 97 PJOK teachers with PNS status while PJOK teachers with NonPNS status are 62, of the total teachers needed as many as 159 people.The distribution of teachers in every school in Binjai City has not been evenly distributed, it can be seen from the percentage value of equity from 119 public elementary schools in Binjai City, there are 54% or 64 elementary schools that are not evenly distributed while 55 schools in Binjai Municipality are 46%.It's even.So from the results of this study it was in a policy that the education office of Binjai Municipality In order to make the results of this analysis in making a policy related to the shortage of PJOK teachers and supervision must always be carried out in implementing policies that have been carried out so that they continue to run as they should.And for the school to make reports related to the condition of PJOK teachers every month in determining the needs of PJOK teachers so that the need for PJOK teachers in schools is more evenly distributed.
Game-Based Learning Material for Developing Reading Comprehension

To address the deteriorating reading proficiency of learners in the entire country,the Department of Education strengthened the reading programs in schools. Teacherswere urged to create projects and materials to aid this advocacy. Given this, thepresent study developed instructional material for Grade 8 learners to enhance theirreading comprehension. Using the modified three-stage instructional development modelof Seels and Glasgow (1998), the researcher developed a research-based instructionalmaterial integrating the principles of game-based learning. The game-based instructionalmaterial focused on developing specific competencies identified as the least masteredskills of the learners. The material was evaluated by a panel of experts, the teacherusers,and the learner-users. This was then implemented to target users to determine thematerial’s effectiveness in developing the target competencies. The pretest and posttestresults yielded a significant difference in both the try-out and implementation stagesignifying that the material was effective in increasing the reading comprehensionlevel of the learners. Moreover, positive feedback was also gathered from both the teacherusersand the learners. The material was also found to increase the learners’ interest andengagement in their reading class.
Modeling of Biological Systems: From Algebra to Calculus and Computer Simulations

In this chapter we present a survey of mathematical modeling approaches to biological problems. We approach the modeling efforts through several mathematical techniques: from basic algebra, already studied in middle- and high school, to calculus, at the transition of high school and college. Throughout the chapter, we rely heavily on computer simulation techniques with which we investigate different aspects of these models and their relationships with the studies systems, illustrating the modern approach of computational thinking. We have presented versions of these problems and models in our own courses in mathematics for non-majors, targeted to first- and second-year colleges students who are interested in biology and life sciences. Many students have told us that they found the approach engaging and that it increased their appreciation of mathematics as an applied science. The problems and project that you will see here are selected from areas of population biology (populations of squirrels, insects, flies, and wasps); use of medical sensing and modeling to detect the blood pressure and heartbeat in patients; and epidemiology, modeling the spread of infectious diseases, from Ebola in West Africa, with an option to study the COVID pandemic in 2020–2021.
Context and Apparent Features Aggregation Network for Semantic Segmentation

Convolution neural network (CNN) has local receptive field and struggles to build long-range spatial dependency, while vision transformer (ViT) has the capacity to capture long-range context dependency but suffers from local detailed feature loss during the token embedding procedure. Aggregating the apparent features and context information is helpful for semantic segmentation. In this paper, the roles of low-level apparent features and context information in semantic segmentation are carefully analyzed, and layer attention module is proposed to finely aggregate low-level features and context information. First, we propose various CNN branches to extract shallow features from an input image, such as edge, texture. Meanwhile, we use ViT backbone to extract rich context information. Second, we integrate CNN branch and ViT in a united network, and propose a layer attention module to fuse the context information and low-level detailed features. Based on the united network, which implies ViT enhanced with low-level convolution, the accurate semantic segmentation is achieved. We test our method on public Cityscapes datasets. Numerate experiments shows our method achieves competitive results. Code is available at: https://github.com/cocolord/Degraded_image_segmentation.
Ship detection using high resolution remote sensing image

Deep convolutional neural network (DCNN) can understand the undertaking of ship recognition on high-goal distant detecting pictures. In any case, bogus alerts brought about by transport like items ashore may lessen the precision and achievability of these DCNN-based identification systems. In our work, we propose a start to finish strategy called “scene cover R-CNN” to decrease coastal bogus cautions. As the organization part of scene division, the scene mask extraction network (SMEN) was creatively brought into the recognition system. The non-target region territory is joined with the construed scene veil to take out bogus applicant focuses in the non-target region. The new DCNN-based ship recognition component can keep up the discovery exactness, yet additionally viably stifle the bogus alerts of non-target targets. At last, the viability and adequacy of the strategy are checked on the ship informational collection created by high-goal optical distant detecting pictures precision.
review of techniques for morphological analysis in natural language processing

Natural language is a crucial tool to facilitate communication in our day-to-day activities. This can be achieved either in text or speech forms. Natural language processing (NLP) involves making computers understand and process natural language. NLP has enhanced the way humans interact with computers, from having computers use speech to talk to humans as well as having computers translate human speech. Apart from speech, computers also create and understand sentences in natural language in a process called morphological analysis. Morphological analysis is an important part in natural language processing, being applied as a preprocessing step in most NLP tasks. Morphological analysis consists of four subtasks, that is, lemmatization, part-of-speech (POS) tagging, word segmentation and stemming. In this paper, we explore in detail each of these tasks of morphological analysis. We then evaluate the techniques used in this NLP field. Finally, we give a summary of the results of each of these techniques.
Digital competence in the context of COVID 19: a view from education

Digital competences are increasingly making their way as essential to achieve a true information and knowledge society. Identifying, describing and evaluating them are vital processes to differentiate them from other skills necessary for working with ICT. These competences are an important need in the current context of COVID 19, both due to their deficiencies in the general population and in the educational field. In this review of the literature, the differences of this concept with others such as information literacy and digital literacy are observed, both from their areas of study, to the dimensions and standards for their implementation and evaluation. Evidence is provided of the importance of the digital divide to achieve them, and of how they can be developed from different strategies such as the Inverted Classroom. The results suggest that this methodology could be suitable in the context of current education.
Choosing a content management information system for building an educational site

International scientific conference «Interaction between science and technology in modern conditions» : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : “Baltija Publishing”, 2022. 128 pages.
Signals of Expertise in Public and Enterprise Social Q&amp;A

The success of internet social question-answering (Q&amp;A) sites has led businesses to attempt to duplicate this model in- ternally. In such systems, demand for expertise is high, mean- ing that finding high-quality answers quickly is a top priority. Prior work on expertise discovery, though, has focused on high-traffic public websites like StackExchange. Here, we show that the most predictive metadata features from public websites do not transfer well to the enterprise.