Reviewerly/exHarmony huggingface dataset:
Optimization and noise analysis of the quantum algorithm for solving one-dimensional Poisson equation

Solving differential equations is one of the most promising applications of quantum computing. Recently we proposed an efficient quantum algorithm for solving one-dimensional Poisson equation avoiding the need to perform quantum arithmetic or Hamiltonian simulation. In this paper, we further develop this algorithm to make it closer to the real application on the noisy intermediate-scale quantum (NISQ) devices. To this end, we first optimize the quantum 1D-Poisson solver by developing a new way of performing the sine transformation. The circuit depth for implementing the sine transform is reduced from n2 to n without increasing the total qubit cost of the whole circuit, which is achieved by neatly reusing the additional ancillary quits. Then, we analyse the effect of common noise existing in the real quantum devices on our algorithm using the IBM Qiskit toolkit. We find that the phase damping noise has little effect on our algorithm, while the bit flip noise has the greatest impact. In addition, threshold errors of the quantum gates are obtained to make the fidelity of the circuit output being greater than 90%. The results of noise analysis will provide a good guidance for the subsequent work of error mitigation and error correction for our algorithm. The noise-analysis method developed in this work can be used for other algorithms to be executed on the NISQ devices.
Unifying Discourse Resources with Dependency Framework

For text-level discourse analysis, there are various discourse schemes but relatively few labeled data, because discourse research is still immature and it is labor-intensive to annotate the inner logic of a text. In this paper, we attempt to unify multiple Chinese discourse corpora under different annotation schemes with discourse dependency framework by designing semi-automatic methods to convert them into dependency structures. We also implement several benchmark dependency parsers and research on how they can leverage the unified data to improve performance (The data is available at https://github.com/PKU-TANGENT/UnifiedDep .).
The Influence of Digital Marketing Channels on the Consumer Buying Behavior: Moderating Role of Marketing Strategies

Nowadays, digital marketing has become a comprehensive resource of marketing that could lead the organization towards success and has gained the attention of regulators and recent researchers. Thus, the present study examines the role of various digital marketing channels such as e-mail marketing, mobile marketing, and digital retargeting on the consumer buying decisions of the Information Technology (IT) industry in the UAE. The present research also investigates the moderating impact of marketing strategies among the nexus of e-mail marketing, mobile marketing, digital retargeting, and consumer buying decisions of the IT industry in the UAE. This study has used the quantitative method of gathering data, and questionnaires have been exercised to receive the data from respondents and analyze it by using smart-PLS. The results indicated that e-mail marketing, mobile marketing, and digital retargeting have a positive association with consumer buying decisions of the IT industry in the UAE. The results also revealed that marketing strategies significantly moderate the links among the e-mail marketing, mobile marketing, and consumer buying decisions of the IT industry in the UAE. This study provided the guidelines to the policymakers that they should improve their focus towards digital marketing that could enhance organizational success.
Supervision as an innovative psychological and pedagogical technology and subject of research

The article discusses the process of development of education as an integral pedagogical system, and the subject of research is innovative pedagogical technologies, as an integral part of the object of research. This is exploratory reflective research. The results highlight the identification of types, difficulties of the method and learning, methods of introducing innovative technologies, as well as its specificity in Ukraine in the educational field.
EFL Young Learners’ Vocabulary Learning Strategies : An Overview

Young learners have the ability to learn something quickly and memorize it in the long-term. It is a good chance for the children to learn about foreign languages, especially vocabulary as the key to communicate in English. However, it may be challenging for the teacher to make children quiet and give their full attention while learning in the classroom. So, the teacher needs to understand the children’s learning habits and the vocabulary strategies to make the teaching and learning activity more conducive. This article is an overview of some previous studies related to the EFL young learners’ learning strategies, especially in learning vocabulary. It is hoped that this article will help in providing knowledge for teachers for EFL young learners in conducting their English class and stimulating students’ vocabulary knowledge.
How far away is your phone in this picture? Determining object distance and size in a 2D scene

How do we judge the distance of familiar objects seen within a picture? If the physical size is known, the object’s distance can be judged relative to other objects in the scene, but without such references the viewer must estimate its distance solely from their knowledge of its size. How well can we do that? Using remote testing via PAVLOVIA, participants viewed a rectangular block, scaled to the size of their personal smartphone, placed upright in a hallway scene that provided ambiguous distance information, displayed on a computer screen viewed at 50cm. In exp1 (n=74), they were given 5 sizes of block and adjusted their distances to look correct based on the known physical phone size. In a second task, they adjusted its visual size when it was placed at the same distances they had set in the first task. In exp2 (n=60), the task order was reversed, and distances were also given in meters. Participants could differentiate the distances and sizes of their phone in the correct order (small farthest) but consistently set its size larger than expected (p < .001). When setting its size at the distance they had previously chosen as consistent with a given size, they surprisingly set it significantly larger (p < .001). In exp2, where they set size first, the distances set in task 2 were not significantly different from task 1 (p = .936). Participants could not use distance given in meters. Our results suggest that people misjudge the visual size of a familiar object based on its perceived distance, setting it much too big. When determining object distance based on visual size, however, they are quite consistent. The perceptual relationship between size and distance seems to break down when an object of known physical size is placed in a 2D scene.
Taking the microcontrollers lab online: Lessons learned

On 3 March 2020, the Lebanese government declared a state of health emergency and general mobilization, imposing a total lockdown to combat the spread of the COVID-19 pandemic with the discovery of the first few cases in Lebanon. This was unchartered territory for everyone in the current modern era. Faced with the sudden disruption, Lebanese higher-education institutions, like their counterparts around the world, faced the challenge of relying on full online teaching overnight-urgently and without preparation in Lebanon, for sure, and many other nations worldwide.
SELF EVALUATION OF THE PNFI SKB MALANG CITY IN DEALING WITH PERFORMANCE-BASED ACCREDITATION

One of the public education services that can build a learning society is through the Equality Education Program. Equality Education is a non-formal education program that provides general education which includes three levels, those are Package A Program equivalent to SD/MI (Primary Education), Package B equivalent to SMP/MTs (Junior High School) and Package C Equivalent to SMA/MA Program (Senior High School). This program is primarily intended for students who come from communities who do not have the opportunity to study in formal education, drop out of study/dropout, and are of productive age who want to improve their knowledge and life skills, as well as people who require special services to meet their daily needs as a result of the will to increase their standard of living, and development of science and technology.
A Machine Learning Technique for Identification of Personality Traits Using Handwriting

Personality analysis using handwriting is a methodofunderstandingthepersonalitytraitsofapersondependsontheway person writes. Handwriting may be unique for each personandaperson’snature,behavior,andcertainpsychologicalaspectscan be inferred based on it. The field that deals with study ofhandwritinganalysisofapersontermedasGraphology.Thepeople’sworksonhandwritinganalysiscalledasGraphologist .Researchhasproventhatwemakemoreuseofbrainwhilewritingthanthespeaking.Afterthedigitalage,thewayoflifehaschanged. Anythingcanbedonewith afingertip,butalltheseluxuriesarethreatenedatsecurityorfraudcosts.Handwritten script or calligraphy explores the personality of anindividual.Itspeaksabouttheperson’s   characterandpredictsanAttribute as positive, Social Maturity, balanced and shy insidecalligraphybecausewritingisrelatedtothebrainandleavesa sample subconsciously. Several types of handwriting featuresareregardedasslope,baseline,topmargin,wordsize,linespacing, word spacing, left or right or ordinary slant or irregularexpression.Theentiredeviceteststhescriptbasedontheaforementioned types of calligraphy and divides the image intothree modules with the main module, which is used to eliminatenoiseandtosharpenthepicture’scontrasttoenhancetheperformance. Extract the 7 features of each dataset picture, and thenuse CNN in combination with Multi-Layer Perceptron (MLP).Comparedtotheliteraturesurvey,theproposedframeworkgivesa better result. The process of Graphology is a manual process ofunderstandingthehandwritingofindividualperson.Ittakestimefor understanding the handwriting of the person. Moreover it iscostly and depends on the understanding of the Graphologist. Soto make this process of handwriting recognition easier withoutconsumingtimewewillextracttheimportantfeaturesfromthedatasetthatwillhelpustoidentifythepersonalitytraits. For this analysis we have used the IAM dataset consist of 650writers. The IAM dataset consist of handwriting images .VariousimageprocessingtechniqueshasbeenappliedontheimagesofA4sizepaperwrittenusingEnglishlanguagesentences. Themachinelearningalgorithmshavebeenusedtoidentifythevarious personality traits of the person .It includes the manualprocessoffeatureextraction.Theaccuracyofthemachinelearningalgorithmsvaryfrom70-87%.Theproposedmethodofhandwritingbasedpersonalityanalysisgives94%accuracy.
The target similarity conundrum in rapid serial visual presentation

To deal with rapidly changing visual information, the brain has developed an attentional system that optimises our perception to detect important changes. To probe this attentional system, researchers often use rapid serial visual presentation (RSVP) paradigms. In a two-target RSVP, participants are asked to report two targets (T1/T2) that are embedded among multiple distractors in a stream of stimuli. In a well-known RSVP phenomenon, known as repetition blindness (RB), T2 is often unreported when targets are repeated. This effect has been argued to be due to a memory, rather than a perceptual, failure. In a previous study, we measured multivariate brain representations throughout the visual hierarchy and showed that the more similar targets were in high-level regions, the more likely participants were to miss T2, extending previous findings of RB. In contrast, when targets were similar in low-level regions (e.g. V1), performance on T2 increased. In the current study, we aim to resolve this conundrum and hypothesise that V1-similarity between targets increases the rate of evidence accumulation for T2. Based on a large high-resolution functional magnetic resonance imaging dataset (Natural Scenes Dataset, http://naturalscenesdataset.org) we constructed RSVP trials with low, mid, and high V1-similarity between targets. We then asked participants to memorise T1 while making a speeded animacy judgment on T2. We employed drift-diffusion modelling on the reaction time distribution for T2 responses to show that evidence accumulation is positively modulated by V1 similarity. This effect was present even after filtering away trials where T1 was an animal, meaning it cannot be explained by any selection bias of images in either category. In contrast to previous RB theories, associated with repetitions in the task-relevant domain, V1 similarity not only increases T2 performance but appears to be related to pre-conscious processes.
Važnost medijske pismenosti u bosanskohercegovačkom društvu i uloga centara za cjeloživotno učenje u razvoju ovog koncepta u Bosni i Hercegovini

In this article the subjects of discussion are importance and role of media literacy in the modern society. Te authors gave us a short review of the activities in the feld of media literacy in Bosnia and Herzegovina, importance of media literacy and the role of lifelong learning centres for the development of this concept. Media scene in B&amp;H is extremely complex and the citizens are exposed to diﬀerent contents of numerous media,74 Belma Buljubašić, Lejla Turčilo which also includes propaganda activities, fake news, disinformation, etc. In education policies in B&amp;H the signifcance of this concept has not been recognised, and the students do not study media and information literacy in the process of formal education. Furthermore, media literacy for adults is neither being considered nor developed, hence the authors suggest that the lifelong learning centres could (and should) be the places where the aspects of media literacy are tackled through short-term and long-term training programmes.
Indonesian Tenth Graders’ L2 Motivational Self System: In Relation to L2 Anxiety and School Location

Abstrak Untuk mencapai tujuan sebagai pelajar, motivasi diperlukan. Namun, ada beberapa faktor yang bisa mempengaruhi motivasi belajar siswa, yakni yang kecemasan dan lingkungan mereka. Dengan menerapkan teori bernama L2 Motivational Self System, penelitian ini mencoba untuk meneliti hubungan antara L2 motivational self system siswa kelas X (sepuluh) terhadap kecemasan mereka dan lokasi sekolah. Penelitian ini melibatkan 134 siswa di Surabaya dan Ponorogo. Satu set kuesioner digunakan sebagai instrumen. Data dianalisis pada SPSS Statistics 20. Hasil penelitian menunjukkan bahwa selama proses pembelajaran, siswa kota (M = 4.22) cenderung merasa lebih cemas daripada siswa di daerah pedesaan (M = 4.05). Perhitungan Independent Samples T-Test menunjukkan bahwa ada perbedaan yang signifikan dalam skor bagi siswa di daerah perkotaan (M = 4.38, SD = 0,65) dan pedesaan (M = 4,04, SD = 0,72); t (132) = 2,83, p 0,05). Temuan menunjukkan bahwa, L2 motivational self system memberikan dampak yang kecil pada rasa cemas yang dirasakan oleh siswa di kota dan desa selama proses belajar. Kata Kunci: L2 Motivational Self System, Motivasi, Kecemasan, Kelas Sepuluh, Sekolah Desa, Sekolah Kota Abstract To reach the goal as a learner, motivation is needed. Yet, there are some factors that might affect students’ motivation which is anxiousness and their environment. Applying a theory named L2 Motivational Self System, this research tried to examine the correlation between students’ L2 motivational self-system toward their anxiety and school location. This research involved 134 students in Surabaya and Ponorogo. A set of questionnaire was used as the instrument. The data was analyzed on SPSS Statistics 20. The result showed that during the learning process, urban tenth graders (M = 4.22) tend to feel more anxious than tenth graders in a rural area (M = 4.05). The calculation of Independent Samples T-Test showed that there was a significant difference in scores for students in urban (M = 4.38, SD = .65) and rural area (M = 4.04, SD =.72); t (132) = 2.83, p .05). The findings indicate that L2 motivational self-system gives small impact on both urban and rural students’ L2 anxiety. Keywords: L2 Motivational Self System, Motivation, Anxiety, Tenth Graders, Urban School, Rural School
Compact and Interpretable Architecture for Speech Decoding From iEEG

Attention is proposed to be a system of multiple functional networks, including alertness, orienting and executive control. A popular experimental paradigm for testing these networks and their interactions within a single design is the Attentional Networks Test (ANT) (Fan et al., 2002). The role of the oculomotor system in these various networks, however, has not been tested despite the strong link between attention and eye movements. We modified the executive control component of the manual response ANT version (ANTm) that allows testing the networks’ involvement with oculomotor responses. Specifically, we used a central target to signal pro or anti-saccades that allows us to match the saccadic response compatibility of the original ANTm. We conducted three experiments to compare interactions of the networks between the traditional ANTm that used a flanker task response, our new ANTs with saccadic responses signalled with a fixation arrow, and a manual response version with the response arrow at fixation (ANTf). Results for all three experiments showed typical main effects of all three attention networks, but we observed differences in their interactions. The ANTm showed only an interaction of alerting enhancing the orienting; ANTs showed a congruency by orienting interaction with the orienting effect only observed for pro-saccades. The ANTf showed both alerting by orienting, and orienting by congruency. Although the saccadic response did differ from the original ANTm, key differences were also highlighted by the switch from peripheral to central target. Overall the proposed ANTf is a valid tool to test main effects of attentional networks. Further investigation of interaction differences between manual and oculomotor systems is required.
PENGARUH MODEL TING TALK WRITE UNTUK MENINGKATKAN HASIL BELAJAR SISWA PADA MATA PELAJARAN IPS KELAS 4 SD SWASTA GKPS PULO HALI

The purpose of this study is to improve student learning outcomes by using the Think Talk Write model on the theme of our friend's environment. The initial test data for learning outcomes obtained an average value of 52.61, where there were 4 students who had reached the level of mastery learning and the percentage of classical learning was only 19.05% or 80%.
IMPROVING STUDENTS UNDERSTANDING OF THE THESIS FLOW BY USING THESIS MAP TECHNIQUES

An understanding of the flow of thesis writing is very important to ensure good and quality research results. This situation always waves graduate students so that many lose during the presentation of the proposal (defense proposal) or during the oral examination (viva). The Thesis Map technique is an innovation in the teaching of research methods that uses the arrangement of thesis flow in a visual box. Thus, the objective of this study is to analyze the improvement of students understanding of the mastery of thesis writing flow (thesis flow) by using the Thesis Map technique. The action research design was used to look at changes in student achievement in mastering the flow of thesis writing. A total of 4 PhD students from the subject of Research Methods (PPPY6283) were involved in this study. Students are taught the Thesis Map technique for 1 semester from April to July 2021. Effectiveness analysis is evaluated using three instruments namely Test-Before Action and Test-After Action, observation and presentation of research proposals. Findings show that there is an increase in students understanding of the flow of thesis writing through the comparison of the results of the Pre-Action Test and Post-Action Test. Findings from the observation also found that students showed interest, enthusiasm and mastery of the subjects taught. The effectiveness of this technique is also evidenced by the acquisition of excellent proposal presenter marks between 36-39 out of a total of 40 marks. Therefore, the Thesis Map technique approach is an effective alternative medium for the subject of Research Methods. The implication is that UKM will be more distinguished with quality and impactful graduate research results.
Learning management system: Integration models of conventional and distance education of students

During global informatization of all life spheres, the most important are support of advanced technologies and encouraging the users to work and to learn using remote systems. The research was aimed at a comparative analysis of learning management systems (LMSs) for the integration of conventional forms of learning in the context of distance learning. In order to solve the problems posed in the work, general scientific methods were used: a) theoretical: analysis of scientific sources on the research problem to clarify the elaboration of the integration of conventional forms of learning into distance learning through LMSs. b) empirical: online survey of experts for the comparative analysis of LMSs used for distance learning, as well as determining the psychological, pedagogical and organizational and technical advantages, disadvantages and key features of the LMSs under consideration. The survey involved 40 experts – scientific and pedagogical workers, whose activity was associated with the introduction of cloud services in the educational process of higher education institution for at least three years. This article substantiates the importance of development of distance learning and discusses the integration models of conventional learning forms under conditions of distance learning; peculiar features of LMSs are defined. On the basis of expert survey, the LMSs used for distance learning have been compared; organizational, psychological and educational advantages, disadvantages, and key features of top LMSs have been defined.
Effective Model development for Data Interpretation Performance Analysis in Web Data Integration Using Web Mining Techniques

Web data integration represents the collective information of interrelated concepts in a logical way of representation from different type Web big data resources' data is said to be valid and informative whenever it holds its universal way of meaningful representations. The web data interpretation from the collection of web big data interaction results are said to be valid and informative if it provides a meaning full way of common communication to all the web big data users.. This paper proposed an effective Model development for Data Interpretation Performance Analysis in Web Data Integration Using Web Mining Techniques. In future this paper will be extended with artificial intelligence techniques of implementation through machine learning to attain an advanced level of web usage after the implementation and completed learning of 5G throughout the world.
A Novel Application on an Archaeology Site with a Fusion of Immersive Computing

This paper introduces a novel application on ancient ruins with a fusion of holography and Digital Humans to create a spatial-narrative and interactive experience for the visitors/users. This application uses Pepper’s ghost illusion technique for projecting documented historical scenes to create a spatial narrative environment. It uses the concept of Digital Human (DH) to present a person from past on display for an interactive experience. This immersive experience is designed to be comfortable and suitable for visitors of various age groups or with disabilities. Survey of users suggested that the interactive approach is very promising for education and engagement into cultural heritage experience.