Reviewerly/exHarmony huggingface dataset:
What Good Is Blockchain?

Blockchain has been the subject of much hype, but does it really offer a potential solution to issues like disinformation and “disorders” of trust? This chapter examines the genesis and development of blockchain, addressing some of the common misperceptions and confusion about what blockchain is (and is not). Next, some of the touted properties of blockchain are considered – tamper-evidentiality, decentralization, transparency, and pseudonymity – with a focus on whether these produce the immutability needed to establish trust in the blockchain ledger. Given the conditionality of blockchain immutability, the chapter ultimately concludes it is inadvisable to view it in essentialist terms as a fixed and stable blockchain property. Rather, blockchain immutability is best viewed as a sustained commitment that a group of individuals holds onto because they believe that the attribute is desirable, even necessary.
Manipulation of entangled states of light using complex scattering process

The development of high-quality photonic sources of high-dimensional entanglement and techniques for their manipulation is crucial for the advancement of quantum technologies. We present an efficient technique for generating and characterizing high-dimensional spatially entangled two-photon states with a record quality, dimensionality, and measurement speed. We demonstrate how to precisely manipulate such states by tailoring reprogrammable optical circuits in complex scattering media consisting of off-the-shelf multimode fiber and spatial light modulation. Our techniques open a clear pathway for the adoption of high-dimensional quantum states of light in the high-capacity, noise-robust quantum networks of tomorrow.
Assessing L2 Portuguese writing: idea density and sentence complexity

Abstract: Idea density and grammatical complexity were proposed as writing assessment parameters by Snowdon et al. (1996) and by Kemper et al. (2001) in the Nun Study (Snowdon 2001). The same parameters are used here to assess advanced Portuguese L2 writing in a learning context (C1/C2) in order to confirm them as valid assessment measures in a L2. Quality in writing is expected to translate into lexical precision and richness as well as sentence complexity. Results confirmed that reading has an influence on writing quality, insofar as the students who usually read are the ones who got the highest scores in both parameters. Results were nevertheless highly variable due to the heterogeneity of the group of participants. Both measures, idea density and grammatical complexity, were found to be correlated in two writing tasks, a synthesis and a writing prompt, which led to the conclusion that participants who write with lexical precision and richness also produce higher complexity sentences regardless of language and writing task variability. Keywords: idea density; grammatical complexity; assessing writing; Portuguese L2. Keywords: dyslexia; educational measurement; learning disabilities; validation study; psychometrics.
Attitudes of physics teachers towards the use of electronic evaluation tools in designing the performance tasks in the administration of Sebia’s education: اتجاهات معلمي الفيزياء نحو استخدام أدوات التقويم الإلكتروني في تصميم المهمات الأدائية بإدارة تعليم صبيا

The study aimed to reveal the attitudes of physics teachers towards the use of electronic evaluation tools in designing performance tasks in the Sebaya Education Department. In order to achieve the objectives of the study, the study applied the descriptive analytical method. The study sample consisted of (85) male and female teachers. The study also used the questionnaire as a main tool in data collection. The most important findings of the study are that the most important ways to develop the attitudes of physics teachers towards the use of electronic assessment tools in the design of performance tasks are to educate and educate the student about the importance of distance education, and to provide free Internet services to facilitate the application of electronic assessment tools for each teacher and student who needs them. There are statistically significant differences between the average estimates of the sample members about the attitudes of physics teachers towards the use of electronic evaluation tools in designing the performance tasks due to gender. Based on the findings of the study, the study recommended the necessity of employing electronic evaluation tools in designing the performance tasks.
Reflective Learning of Neural Networks

This paper introduces the notion of an adaptive neural network model with reflection. We show how reflection can implement adaptive processes, and how adaptive mechanisms are actualized using the concept of reflection. Learning mechanisms must be understood in terms of their specific adaptive functions. We introduce an adaptive function so that a neural network is able to adjust its internal structure by itself to evolving environments by modifying its adaptive function and associated learning parameters. We also investigate reflective learning among multiple neural network modules. In multiple modules setting, two types of reflection are modeled: each neural network module learns on its own by adjusting its adaptive function, while at the same time, each neural network module mutually interacts and learns as a group to obtain the coordinated adaptive function and learning parameters.
Image and Text Encrypted Data with Authorized Deduplication in Cloud

In this study, role re-encryption is employed in a secure role re-encryption system to minimize data leakage and deduplication. It also looks for evidence of ownership to see whether the user is an authorized one. This is for the sake of effectiveness. The role re-encryption approach involves sharing the access key for the associated authorized user in order to access a specific file without exposing personal information. We use both the avoid use of text and digital visuals in our endeavour. Personal photographs, for example, are stored on our mobile phones, portable devices, computers, and other gadgets. As these photographs must be kept confidential, we are encrypting them. Nowadays, the text file is equally significant for users. It must be kept safe on a cloud server. Digital photographs must be safeguarded during transmission, but personal identity information such as copies of a pan card, passport, ATM card, and so on, should be stored on a single wnpc. To minimize duplication in our proposed system, we are securing the text file and picture data.
Automated post scoring: evaluating posts with topics and quoted posts in online forum

Online forumpost evaluationis an effective way for instructors to assess students’ knowledge understanding and writing mechanics. Manually evaluating massive posts costs a lot of time. Automatically grading online posts could significantly alleviate instructors’ burden. Similar text assessment tasks like Automated Text Scoring evaluate the writing quality of independent texts or relevance between text and prompt. And Automatic Short Answer Grading measures the semantic matching of short answers according to given problems and correct answers. Different from existing tasks, we propose a novel task, Automated Post Scoring (APS), which grades all online discussion posts in each thread of each student with given topics and quoted posts. APS evaluates not only the writing quality of posts automatically but also the relevance to topics. To measure the relevance, we model the semantic consistency between posts and topics. Supporting arguments are also extracted from quoted posts to enhance posts evaluation. Specifically, we propose a mixture model including a hierarchical text model to measure the writing quality, a semantic matching model to model topic relevance, and a semantic representation model to integrate quoted posts. We also construct a new dataset called Online Discussion Dataset containing 2,542 online posts from 694 students of a social science course. The proposed models are evaluated on the dataset with correlation and residual based evaluation metrics. Compared with measuring posts alone, experimental results demonstrate that incorporating topics and quoted posts could improve the performance of APS by a large margin, more than 9 percent on QWK.
Research on Financial Risk Prediction Based on Improved Random Subspace

In order to provide timely and effective information and decision support for financial market entities, combined with random subspace and weight fused Lasso, this paper constructs a financial risk prediction model based on the improved random subspace method. Firstly, the basic principles of random subspace and SVM algorithm are introduced. Then, WFL and Al methods are introduced to improve random subspace, so as to reduce the dimension of multisource heterogeneous data and realize the adaptive fusion of features. Then, a financial risk prediction model based on weighted fusion adaptive random subspace is constructed, in which SVM is used as the basic classifier and the output strategy of result integration is introduced. Finally, based on the data of some listed companies, the improved random subspace method is compared with other methods. The results show that the improved random subspace method has a higher prediction value, which indicates that the method is reasonable and effective in financial risk prediction. In the improved random subspace method, combined feature F1 + F2 + F3 is better than other methods in T − 3, T − 4, and T − 5, and the prediction value is more than 95%, which fully demonstrates the rationality of the improved random subspace method in financial risk prediction. The area under the ROC curve (AUC) predicted by weight fused adaptive integration-based random subspace (FAIB_RS) method is about 95% in T − 3, 93% in T − 4, and 95.5% in T − 5, which is obviously higher than that of the other eight methods.
Voyeur-Voyager @ AR Theory, Concepts and Promises of Augmented Reality as a New Medium

In this article we aim for depicting the core features of Augmented Reality (AR) and we explain how it differs from Virtual Reality (VR). However what matters most here to discuss is to theorize the AR model of communication and interface design based on ideas that already were present in Communication Sciences, Image Theory, Cyberculture and Digital Media. We try to provide a context of discussion and explain how AR seems more promising and how it could represent a major change in the way we deal with data and computing devices from now on. The question is that where all VR models have failed when the final applications reached the mainstream audiences, AR has always been a humbler form of media, underrated, which makes it perfect to improve in a society that readies itself for the Internet of Things (IoT) and the post-smartphone era. Perhaps from now new modes of “immersion” might resurface as we become voyeurs and voyagers in the new media framework.
Exchanging Quantum Correlations and Non-Local Information Between Three Qubit-Syatem

The possibility of exchanging the quantum correlations and the non-local information between three qubits interact directly or indirectly via Dzyaloshinskii-Moriya (DM)is discussed. The initial state settings and the interaction strength represent control parameters on the exchanging phenomena. The non-local information that encoded on the different partitions doesn’t exceed the initial one. It is shown that, the ability of DM interaction to generate entanglement is larger than that displayed for the dipole interaction. The possibility of maximizing the quantum correlations between the three qubits increases as one increase the strength of interaction and starting with large initial quantum correlations. The long-lived quantum correlations could be achieved by controlling the strength of the dipole interaction.
A Study on the Operation and Improvement of Extracurricular Curriculum based on the University s Core Competency for Public Value: Focused on O University

Purpose: This study was conducted with the purpose of proposing the direction necessary for the balanced op-eration of the university’s core competency based curricula (major and liberal arts) and extracurricular curriculum of O University, objective evaluation and quality management of extracurricular programs based on the case analysis of other universities extracurricular operation and management systems and of providing the basic data. Method: First, the case studies on the competency based extracurricular curriculum’s operation and manage-ment systems of other universities are analyzed. Second, the competency based extracurricular curriculum’s operation and management system centered on each core competency, type, and operating department for the 2021 academic year of O University are analyzed. Third, the directions for the future core competency based extracurric-ular curriculum’s operation and management system directions for O University are presented. Results: As for the problems for the operation of the extracurricular program through the case of extracurricular performance management of other universities include the imbalance of core competency and detailed competency programs, lack of connection with the major curriculum, and the lack of communication and collaboration for each center for the prevention of the duplication of extracurricular programs, which require the continuous improvement and quality control of the extracurricular program. Furthermore, it is difficult to provide the students with the necessary extracurricular program information, and it is also necessary to strengthen the performance system to ensure that the extracurricular program performance management system is a mileage scholarship sys-tem depending on whether the students have completed the course and can be used as a career in employment. Conclusion: As a measure to address the imbalance for the extracurricular programs by core competency and induce the active participation of students, by developing and operating an integrated curriculum for each department linking the curriculum and extracurricular curriculum, it will play such a practical mediating role in fostering talents by department, while extending opportunities to strengthen the students various competencies and playing a supporting role in providing an opportunity to strengthen the human body, thereby providing changes for growth as a whole person.
By Mastering English Vocabulary Can Increase the Learning Quality of Reading Comprehension Narrative Text on X MMA and X MMB at SMKN 7 Mataram

The purpose of this study is to find out whether By mastering the students’ English vocabulary and their reading comprehension skills. This research is quantitative research. The population of the research was 49 students of the second grade of SMKN 7 Mataram. There were two classes of the second-grade students of SMKN 7 Mataram. The sample was taken by using simple random sampling and class of X MMA and X MMB was taken as the sample of the research from 38 classes. The aim of reading comprehension skill and vocabulary mastery test were used as the instruments to measure the level of students’ comprehension skill and vocabulary mastery in this research. Based on the result of the tests of 39 students as a sample and by applying the formula of person’ coefficient correlation. The statistical analysis shows that the correlation coefficient between the students’ vocabulary mastery and their reading comprehension is also significant (p &lt; .01; p = .000). After considering the result, therefore the null hypothesis (H01) is rejected and the alternative hypothesis (H1) is accepted. It can conclude that By mastering English vocabulary and their achievement in reading comprehension. The higher vocabulary mastery had gotten by the students, the higher reading comprehension had gotten by the students. This suggests that from the result of this research mean that teaching vocabulary is a necessity before teaching further reading comprehension skills.
Model Fraud Pentagon Dalam Mendeteksi Kecurangan Laporan Keuangan Perusahaan Yang Terdaftar Pada Indeks IDX30 Tahun 2015-2019

The objective of this study is to examine and assess the Fraud Pentagon model's ability to detect false financial statements in firms that have consistently been included in the IDX30 index from 2015 to 2019. All of the information utilized is secondary and pertains to the company's yearly data. The population is made up of firms that were listed on the IDX30 index between 2015 and 2019, with a sample size of 65 entities. The study variables that have been determined are analyzed using logistic regression in data analysis. From 2015 to 2019, ACHANGE, LEVERAGE, BDOUT, RECEIVABLE, AUDCHANGE, DCHANGE, TATA and CEOPICT all had a simultaneous influence on financial statement fraud in businesses in the IDX30 index. In addition, partial financial stability (ACHANGE) and total accruals have an impact on financial statement fraud (TATA). LEVERAGE, BDOUT, RECEIVABLE, AUDCHANGE, DCHANGE, and CEOPICT had no influence on the false financial statements of firms in the IDX30 index from 2015 to 2019.
Action Recognition, Tracking, and Optimization Analysis of Training Process Based on SVR Model and Multimedia Technology

In order to explore the action recognition, tracking, and optimization analysis of the training process based on the SVR model and multimedia technology, the author proposes based on the radial basis function model, researching a new surrogate model technology-support vector regression (SVR). We first introduce the basic principles of SVR, select the parameters of SVR, and then elaborate the basic steps of SVR modeling. Then, we design and optimize application examples through numerical example multimedia technology; the validity of the support vector regression method is verified. Experimental results: the comparison of SVR1 and SVR2 shows that the utilization of multiscale timing feature maps should occur after tem (SVR2) rather than being directly fused in the feature dimension (SVR1), mainly because small-scale information affects the resolution of large-scale information; on data sets such as ActivityNet, in order to verify the effectiveness of SVR and DR-Dvc algorithms, the performance of the proposed algorithm and the baseline before improvement and the current mainstream algorithm are respectively compared. Experimental results show the proposed algorithm has a significant performance improvement compared to before the improvement; at the same time, it is better than most current mainstream algorithms, which proves the feasibility and effectiveness of the algorithm. Describing the introduction of regression can effectively improve the performance of sequential action proposals and event description algorithms, and compared with the current mainstream methods, it has certain performance advantages.
A Study on the Adaptation to the South Korean Society for the Survival of the North Korean Defectors: With a Focus on Job Satisfaction according to the Period of Service of the South Korean Security Police

Purpose: The Korean Peninsula of the Northeast Asia is the only divided country in the world, and unlike South Korea, North Korea is isolated from against the rest of the international community due to the socialist ideology and oppression of its dictatorship, and the human rights of the North Koreans are very serious given the economic sanctions. The number of the North Korean defectors is increasing each day. Hence, through the job satisfaction according to the period of service of the security police, who can directly or indirectly support the North Korean defectors in South Korea, which is the most frequently selected by North Korean defectors, a plan for the North Korean defectors for settling in the South Korean society has been presented. Method: In this study, among police officers in the security department as of 2020 who had experience in work related North Korean defectors, 100 trainees in the Police Human Resources Development Institute were surveyed via self-administration method. Among the collected survey questionnaires, 91 were selected as valid samples, excluding those whose answers were incomplete or missing. Results: First, there is a difference in the job satisfaction according to the total period of service in the police organization. As a result of the analysis performed, Q-3 and Q-4 were high at the 5% level. As for Q-5, 20 years or longer turned out to be higher at 1% level than 6 or longer and 10 years and less and 11 or more years and 15 years or less. Q-3 is a response for “I have considerable discretion in performing my job.” Q-4 is a response for “I think that the division of duties and the relationship of authority and responsibility among the organizational employees are clarified and efficient work assignment is made.” Second, there is a difference in the police’s job satisfaction according to security and service period among police organizations. As a result of the analysis performed, at the level of 5%, as for Q-1, 10 years or longer turned out to be more satisfied with their current job and position as a police officer than 2 years or less. Q-1 is a response for I don t think the salary level is low compared to my job.“ Conclusion: Given the unfortunate political and historical experiences of the South Korean society, there is a critical perception of the security police, and it is necessary to strengthen the capabilities of the security police to support the North Korean defectors. Naturally, there may be criticisms as such, but it is worth considering schol-arly from the point of view of the modern liberal state philosophy such that the state exists to protect the lives and bodies of the people and human security, which has gradually expanded its scope entering the 21st century.
Local Consistency Reinforcement for Enhancing Web Service Composition

Composing Web services to fulfill a user query remains one of the most challenging research problems due to its importance to the world economy. Several composition techniques have been proposed, but these techniques are becoming more and more expensive due to the tremendous growth of data over the internet, the intensive use of services, and the continuous changes of available services. The workflow-based Web service composition problem is an NP-complete problem, due mainly to the property of the workflow structuring the composition and the diversity of underlying constraints. Reinforcing local consistency is one of the well-known pre-processing techniques to reduce the complexity of most NP-complete problems. These techniques are mainly dedicated to binary constraint satisfaction problems. Therefore, only few researchers devoted their efforts toward reinforcing some level of local consistency on Web service composition problems that can be semantically defined in the Ontology Web Language for Web Services (OWL-S) control structure based constraints. The main goal of this paper is to propose a novel approach for reinforcing a reasonable level of local consistency, node and arc-consistency on any Web service composition problems. It is expected to provide a more up-to-date and realistic representation of any Web service composition problems without any user interactions, but with the ability to cope with any types of user’s query, such as incomplete, ambiguous, and others. This is due to the existence of several novel rules for reinforcing node and arc-consistency on all types of control structure constraints. Experiments were performed on random problems of different levels of complexity to evaluate the performance of the proposed approach.