Reviewerly/exHarmony huggingface dataset:
담화분석을 통한 컴퓨터 기반 말하기 수행평가의 타당성 조사

This study investigated the validation of the computer based oral test using discourse analysis. 48 Korean university students participated in the study took a face-to-face interview and a computer-based oral test. Their performances were video- and computer-recorded and transcribed for analysis. The performances were scored and their discourse was analyzed in terms of discourse factors including errors of lexis and syntax, communication strategies, and discourse markers. The findings were as follows: First, the performances in a computer-based oral test had strong connection with those in a face-to-face interview. Secondly, students’ errors of lexis and syntax, communication strategies, and discourse markers in a computer-based oral test correlated with those in the other test except the morphological error. Thirdly, differences were found between the discourse factors not only in two-way tasks but also in one-way tasks of the two tests. Lastly, weak relationship between scores and discourse factors was shown in one-way tasks of the computer-based oral test.
Representation Learning in Continuous-Time Score-Based Generative Models.

Score-based methods represented as stochastic differential equations on a continuous time domain have recently proven successful as a non-adversarial generative model. Training such models relies on denoising score matching, which can be seen as multi-scale denoising autoencoders. Here, we augment the denoising score-matching framework to enable representation learning without any supervised signal. GANs and VAEs learn representations by directly transforming latent codes to data samples. In contrast, score-based representation learning relies on a new formulation of the denoising score-matching objective and thus encodes information needed for denoising. We show how this difference allows for manual control of the level of detail encoded in the representation.
Expanded Gabidulin Codes and Their Application to Cryptography.

This paper presents a new family of linear codes, namely the expanded Gabidulin codes. Exploiting the existing fast decoder of Gabidulin codes, we propose an efficient algorithm to decode these new codes when the noise vector satisfies a certain condition. Furthermore, these new codes enjoy an excellent error-correcting capability because of the optimality of their parent Gabidulin codes. Based on different masking techniques, we give two encryption schemes by using expanded Gabidulin codes in the McEliece setting. According to our analysis, both of these two cryptosystems can resist the existing structural attacks. Our proposals have an obvious advantage in public-key representation without using the cyclic or quasi-cyclic structure compared to some other code-based cryptosystems.
Traffic Census and Analysis For Urban Transport Of Central Business District (Srinagar)

Transportation Engineering starts with a traffic census. All management and engineering activities are conducted solely on the basis of this. Because there are significant fluctuations in flow, averaging of these counts into a single volume count is done for design purposes. Manual Method, Automatic Method, Combination of Manual and Automatic Method, and Photographic Ways are the four primary methods of traffic census. All of them have advantages and disadvantages. They have various preferences in terms of accuracy, documentation convenience, versatility, and cost. Three primary traffic analysis methodologies, IRC, UK method, and US practises, have been covered, as well as IOWA Department of Transportation standards for congestion measurement. As metropolitan regions transition from developed to developing, the period of surveys as defined by the IRC must be expanded in order to effectively control traffic. The most significant intersection on the 17.8-kilometer NH1A Bypass, which is projected to be the jugular vein of Greater Srinagar City, is Poloview Intersection. It may be regarded a meeting point for all of Kashmir. The intersection in question is the subject of a traffic census and analysis case study..
Multi-dimensional Analytical Base Method for Evaluating Camouflage Patterns

Precise evaluation of camouflage patterns is very important to achieve an effective protective cover. Recently, researchers have focused on proposing computational methods for camouflage evaluation using algorithms of image feature extraction. Although the available indexes determine the similarity of camouflage patterns to the environmental background, they generally suffer from a lack of quantified camouflage principles. The main idea of this paper is to propose a new evaluation metric by defining seven camouflage factors to evaluate camouflage patterns. To this end, several conceptual factors of camouflage that are vital for a camouflage pattern were defined. Accordingly, if a pattern does not contain the mentioned camouflage factors, it cannot be considered as an effective protective pattern. In this regard, if a pattern comprises more of the camouflage factors, it has better efficiency in concealment. To indicate the performance of the proposed metric, we analyzed the effectiveness of different customary camouflage patterns using the fundamental factors to categorize them into three different classes including inefficient, moderately efficient, and efficient. The results showed that the camouflage evaluation with the proposed camouflage features is reliable and reasonable.
On-target Adaptation

Domain adaptation seeks to mitigate the shift between training on the \emph{source} domain and testing on the \emph{target} domain. Most adaptation methods rely on the source data by joint optimization over source data and target data. Source-free methods replace the source data with a source model by fine-tuning it on target. Either way, the majority of the parameter updates for the model representation and the classifier are derived from the source, and not the target. However, target accuracy is the goal, and so we argue for optimizing as much as possible on the target data. We show significant improvement by on-target adaptation, which learns the representation purely from target data while taking only the source predictions for supervision. In the long-tailed classification setting, we show further improvement by on-target class distribution learning, which learns the (im)balance of classes from target data.
Analysing student's experience of using a digital notebook in learning physics / Easter Joseph and Zuraini Hanim Zaini

Recent technological developments have led to the prominence of online education as an alternative to traditional classroom teaching. Due to the current health crisis happening around the world, online teaching and learning have been implemented at a national scale among students and academic staff, at all educational levels. This research paper aims to demonstrate the student’s learning experience by using digital notebook, particularly Microsoft One note in monitoring and managing their online learning in Physics subject. As some students encountered difficulties to accommodate the online teaching and new learning environment especially in understanding Physics course, employing a digital notebook is essential to ensure all students acquire systematic information and able to monitor their performance. A total of 30 Foundation students were required to use this digital notebook for 12 weeks (one semester) as an interactive platform to share, collaborate, and discuss the coursework efficiently and engagingly. Students’ reflections through an online survey was conducted and analyzed by using Co-occurrences Analysis. The result of the analysis revealed that the students appreciate the usage of this platform as it is convenient, effective, informative, and systematic. Hence, this digital notebook appears as an effective tool to encounter the challenges in terms of students’ collaboration, flexibility, accessibility, and interactivity.
Electronic Collection Development Activities in Babcock University Laz Otti Memorial Library

Collection development generally involves activities such as selection, acquisition, user studies, collection evaluation, weeding, and interlibrary cooperation. These activities are also achievable through electronic collection development. It has been observed that declining funds and book votes has forced academic libraries all over the world to embrace the use of electronic collection development for the mutual benefit of their patrons. And this may have prompted the current state of electronic collection development activities in Laz Otti Memorial Library. Therefore, this study showed the state of electronic collection development procedures in Laz Otti Memorial Library, Babcock University, Nigeria. In this study, a triangulation of qualitative and quantitative (mixed) approach to survey research design was used. The population comprised the professional and para-professional staff of the library with a total number of thirty-seven (37). Total enumeration was used. The instruments for data collection include a semi-structured interview guide and a self-developed questionnaire. The interview was conducted with 8 librarians who were part of the library management. The questionnaire was administered to the subjects personally and was returned in usable form, indicating a 100% return rate. The analysis was done using a thematic approach and descriptive statistics like percentage. The findings showed that e-books, e-journals, and audio-visual materials are some of the electronic resources subscribed and acquired in the library. It revealed that the majority of library staff were unaware of the electronic collection development activities in Laz Otti Memorial library, Babcock University, Nigeria. The study concluded that electronic collection development activities were ongoing in Laz Otti Memorial Library, Babcock University, Nigeria, although its knowledge among staff was low. It recommended that the library management should ensure that awareness of electronic collection development activities among their staff are created through workshops, seminars and in-house training.
Quality Assurance Scheme for Undergraduate Teaching Evaluation Based on Data Mining

To solve the problems existing in the process of teaching quality evaluation and to improve the accuracy of undergraduate teaching quality evaluation, a teaching quality evaluation model based on data mining algorithm is designed. Aiming at the factors such as the large amount of data to be mined and the quality of mining which is easily affected, the improved Apriori algorithm based on partition is applied in the model. Through the process of data collection and data preprocessing, the database suitable for association rule mining is established. Then we can find out which key factors can affect the teaching quality according to the analysis of association rules, so as to provide a strong basis for teaching decision-making and management. The results show that the data mining algorithm can describe the differences between the teaching quality grades of colleges, and acquire high-precision evaluation results of university teaching quality. Moreover, the error of teaching quality evaluation in colleges is far less than that of the current typical teaching quality evaluation methods.
RANCANG BANGUN WEBSITE “SAUNG PABX” PT MARMAGATI TEKNOLOGI MANDIRI MENGGUNAKAN ALGORITMA DEPTH FIRST SEARCH (DFS)

In this sophisticated era, various methods are used to promote the selling products of each entrepreneur or company, both through e-commerce and social media. But there are still many shortcomings and obstacles faced such as the media promotion is not focused on one product but a wide range of products with a very wide range. This research tries to open an advertising application to search for telecommunications products specifically for the Private Automatic Branch eXchange (PABX) web-based. The tracing method used is the Depth First Search Algorithm (DFS) with the deepest child tracing process starting from the leftmost lane until a solution is found. The software development method used is the Prototype Method and Application Design using the Unified Modeling Language. Expected results of this study
Whom Should I Talk To?:

Context: Tools, processes, and perceptions are being increasingly tuned to foster collaboration among developers in large scale software projects. Leveraging these, a developer can potentially connect to any of his/her peers in the development ecosystem, overcoming distance, and time differences. However, whom the developer actually connects to, is governed by factors beyond the mere facilities for collaboration. Objective: In this chapter, we examine whether and how the extent of collaboration between developers and the level of uniformity in their interaction relate to team outcomes. Method: Using data from a set of 389 real-world software projects – involving more than 200,000 developers in total who collectively work on more than 300,000 defects – we statistically examine a set of hypotheses to address our objective. Results: After controlling for several essential factors in team functioning, we find statistically significant associations of collaboration and uniformity with the quality of the team's work products. Our results indicate that higher collaboration is related to fewer defects raised on a team's deliverables. However, we also find evidence that higher uniformity in intra-team interactions relate to more defects. These results can inform how teams are assembled and governed for optimal outcomes in software development ecosystems.
The quantum illumination story

Quantum Radar! Check out what Wikipedia says about it: it might render stealth aircraft obsolete. Watch YouTube videos that purport to explain all about it. Read press reports in which China claims it field tested one in 2016. But is there any fire underneath all that smoke? This talk will answer that question by telling the story of “quantum illumination”, from its beginnings through recent theoretical and experimental results. Quantum illumination is the only quantum radar concept that has been proven, theoretically, to outperform all classical radars of the same transmitted energy in detecting a weakly-reflecting target that is embedded in strong background noise. It uses a source of quadrature-entangled signal and idler beams to gain its target-detection performance improvement despite loss and noise that destroys the entanglement. A realistic assessment of that improvement's utility, however, shows that its value is severely limited. Nevertheless, the fact that entanglement can be of value on an entanglement-breaking channel — the meta-lesson of the quantum illumination story — should spur continued research on quantum radar.
Rancang Bangun Sistem Administrasi Menggunakan Metode Rappid Application Development (RAD) pada Instalasi Farmasi Kabupaten Ogan Komering Ilir (OKI)

Office Administration is a series of activities in an organization related to data and information management in order to achieve the goals of the organization systematically (Ilham, 2019). Administration of this Pharmacy Installation has 3 parts in it, namely distribution, logistics management and recording reports. The problem with this pharmaceutical installation is the unavailability of special applications that can assist the administration process. Where all administrative data that has been managed will be stored in the database. So that the data stored will be safe and make it easier for the admin to access these data using the PHP programming language and MySQL database. In this study, using the RAD (Rappid Application Development) method in the development of an administrative information system.
Lossless restoration of local blurred image based on deep residual network

In the process of digital image transmission, it is easy to be affected by the environmental conditions, which leads to the local blur problem of digital image. Therefore, a local blur image lossless restoration method based on deep residual network is proposed. The identity mapping is set in the deep residual training network layer to obtain the structure of the new residual unit. Combined with the weight matrix of local fuzzy image segmentation, the edge of local fuzzy image is segmented. The fuzzy parameters of local fuzzy image are calculated, and the fuzzy wavelet method is used to calculate the fuzzy degree and fuzzy peak value of local fuzzy image. Finally, the lossless restoration formula of local blurred image is obtained to realize the lossless restoration of local blurred image. The experimental results show that, compared with the traditional restoration method, the restoration efficiency of this method is significantly improved, the highest restoration efficiency is 93%, and the restored image has higher definition.
Sign Language Converter Using Electronic Glove

In this paper we present a sensor glove capable of converting hand gestures to audio wirelessly using Indian Sign Language (ISL). The key components of the device are strain sensors made of inexpensive and conductive material sheet, ‘Velostat’. Velostat sheet, which is made of a film surfaced with carbon particles used for anti-static package of electronic parts. Resistance in the sensors varies according to the strain of the film. The sheet is a polymeric foil (polyolefins) impregnated with carbon black to make it electrically conductive. These sensors are integrated on the glove along with IR (infrared) sensors mounted on each finger and Gyroscope on each hand to record the hand movements. A wearable electronic module consisting of a STM32 microcontroller and a Bluetooth module is mounted on the glove. In concert with sensors, glove is able to translate all 26 alphabets and general English language sentence gestures of the ISL into English words and corresponding text. Lastly, data received from the glove is converted into an audio. This application suggests new ways in which stretchable and wearable electronics can minimize communication gap between hearing impaired and outer world to ensure effective communication.
Darlin: A proof carrying data scheme based on Marlin.

In this document we describe the Darlin proof carrying data scheme for the distributed computation of block and epoch proofs in a Latus sidechain of Zendoo (arxive:2002.01847). Recursion as well as base proofs rest on Marlin (Chiesa et al. EUROCRYPT 2020) using the Pasta cycle of curves and the dlog polynomial commitment scheme from Bootle et al. We apply the amortization technique from Halo (Bowe et al., IACR eprint 2019/1021) to the non-succinct parts of the verifier, and we adapt their strategy for bivariate circuit encoding polynomials to aggregate Marlin's inner sumchecks across the nodes of the proof carrying data scheme. Regarding performance, the advantage of Darlin over a scheme without inner sumcheck aggregation is about 30% in a tree-like scenario as ours, and beyond when applied to linear recursion.
LibGuides: Recursos de Coronavirus para hispanohablantes en Santa Clara | Coronavirus Resources for Spanish Speakers in Santa Clara: Videos toturiales | Video Tutorials

The purpose of this guide is to provide resources, such as books, e-books and websites, dedicated for Spanish speakers to easily find information on the novel coronavirus (COVID-19)
Differential processing of reflection and rotation symmetries in visual textures

Symmetries of various types are prevalent in the natural world. Psychophysical studies show that reflection symmetry (found in faces, bodies) can be detected preattentively, requiring less cognitive resources than other symmetry types such as rotation (found in flower petals, snowflakes). The distinction between symmetry types is important to our understanding of how symmetries contribute to perception of scenes and objects. Visual search has previously been used to probe the distinction between serial and parallel processing of cues to object shape (Enns and Rensink, 1991). Here we employ a visual search paradigm with symmetries that are embedded within regular textures. Our goal is to enhance our understanding of the mechanisms responsible for perceiving symmetries in textures, and differentiate between reflection and rotation symmetry. Based on previous findings, we hypothesize that reflection will elicit more parallel processing than rotation. We conducted two visual search experiments in which participants were presented with regular textures consisting of arrays of tiles containing symmetries. Participants were asked to report the presence of a target tile that had no symmetry and thus disrupted the regularity. We used four different array sizes (total # tiles: 9, 16, 25, 36), and trials with each array size were presented in an interleaved fashion. In Experiment 1, the non-target tiles contained reflection symmetry (N=133), while in Experiment 2 they contained rotation symmetry (N=148). In both experiments we found that accuracy was reduced and RT was increased as array sizes got larger, consistent with serial processing. Importantly, this array size effect was reduced for reflection symmetry relative to rotation symmetry. These results suggest that reflection symmetry elicits more parallel processing than rotation and that the two symmetry types can be differentiated in terms of the mechanisms required for perceiving them.
USE OF ANIMATION MOVIE TOWARDS STUDENTS SPEAKING ABILITY THROUGH E-LEARNING

This study is the use of English animation movie as a media in teaching speaking through e-learning process, and it is intended to improve the speaking ability of the students. The methodology used is classroom action research and SMA Keberbakatan Olahraga Negeri (SMAKON) Aceh as a research subject. The source of the data in this study is from the communication between teacher and students in teaching and learning process through e-learning. The instruments are used observation and test. The data observation is analyzed by using qualitative method and the data from the test is analyzed by using quantitative method. In the pre-test result, there are only 1 student who complete pre-test from the total 4 students who followed pre-test. The percentage is still under the predictive criteria, specifically ? 80% from the average score of students that is ? 65. Meanwhile, the post-test shown that all four students got exhaustive score with the percentage reached 50% and the score average reached 50. It means that X IPS-1 student’s improving speaking by using animation movie on e-Learning process at SMAKON is in good category. On the observation result of X IPS-1 students’ improving speaking on e-Learning process improves. Before the researcher implemented animation movie, the percentage only reached 25%, either student’s improving on e-Learning process or students’ activity during teaching and learning process. Then, the percentage increased to 100% for students’ improving speaking on e-Learning process and 83.75% for students’ activity during teaching and learning process after animation movie has implemented.