Reviewerly/exHarmony huggingface dataset:
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks.

Network pruning is a widely used technique to reduce computation cost and model size for deep neural networks. However, the typical three-stage pipeline, i.e., training, pruning and retraining (fine-tuning) significantly increases the overall training trails. For instance, the retraining process could take up to 80 epochs for ResNet-18 on ImageNet, that is 70% of the original model training trails. In this paper, we develop a systematic weight-pruning optimization approach based on Surrogate Lagrangian relaxation (SLR), which is tailored to overcome difficulties caused by the discrete nature of the weight-pruning problem while ensuring fast convergence. We decompose the weight-pruning problem into subproblems, which are coordinated by updating Lagrangian multipliers. Convergence is then accelerated by using quadratic penalty terms. We evaluate the proposed method on image classification tasks, i.e., ResNet-18, ResNet-50 and VGG-16 using ImageNet and CIFAR-10, as well as object detection tasks, i.e., YOLOv3 and YOLOv3-tiny using COCO 2014, PointPillars using KITTI 2017, and Ultra-Fast-Lane-Detection using TuSimple lane detection dataset. Numerical testing results demonstrate that with the adoption of the Surrogate Lagrangian Relaxation method, our SLR-based weight-pruning optimization approach achieves a high model accuracy even at the hard-pruning stage without retraining for many epochs, such as on PointPillars object detection model on KITTI dataset where we achieve 9.44x compression rate by only retraining for 3 epochs with less than 1% accuracy loss. As the compression rate increases, SLR starts to perform better than ADMM and the accuracy gap between them increases. SLR achieves 15.2% better accuracy than ADMM on PointPillars after pruning under 9.49x compression. Given a limited budget of retraining epochs, our approach quickly recovers the model accuracy.
Azure Security Center and Azure Sentinel

This chapter provides the foundation configuration for both Azure Security Center and Azure Sentinel. Microsoft has expanded many of the Security Center features so you can benefit from these updates. Azure Sentinel is a Microsoft Security Incident and Event Management (SIEM) service. Together, Security Center and Sentinel provide a powerful Security as a Service in the Azure cloud.
Peningkatan kapasitas guru SMA Muhammadiyah 7 Yogyakarta dalam pengembangan media pembelajaran berbasis ICT

The conditions of the Covid-19 pandemic have affected various sectors of life, one of which is the education sector. This condition requires educational institutions to be able to implement Information Technology (IT) -based education by applying the basic concepts of the teaching technology domain. In online learning, teachers are required to be able to develop learning media based on ICT (Information Technology and Communication) and apply it to the online learning system. The problem faced by SMA Muhammadiyah 7 Yogyakarta is that not all teachers have the ability to develop ICT-based learning media. This community service program activity aims to increase the capacity of SMA Muhammadiyah 7 teachers in developing learning media based on ICT, especially in making instructional videos. This method of implementing community service consists of several stages consisting of socialization, training, mentoring, and evaluation. The implementation of this community service activity was carried out in a span of 4 months, starting from July to October 2020. This activity has had an impact on partners in the form of increased understanding and skills of SMA Muhammadiyah 7 Yogyakarta teachers in making learning videos by 70.9%. This training has also produced instructional videos from each teacher who participated in the training and is ready to be used in online learning.
Clustering of Interval Valued Data Through Interval Valued Feature Selection: Filter Based Approaches

In this paper, a problem of selectively choosing a few best interval valued features out of several available features is addressed in an Un-supervised environment. Various models belonging to two categories viz., models which transform interval data to crisp and models which accomplish feature selection through clustering of interval valued features are explored for clustering of interval valued data. Extensive experimentation is conducted on two standard benchmarking datasets using suitable symbolic clustering algorithms. The experimental results show that the approaches presented outperform the state-of-the-art models in terms of correct rand index score and number of features selected.
NIZK from SNARG.

We give a construction of a non-interactive zero-knowledge (NIZK) argument for all \(\mathsf {NP}\) languages based on a succinct non-interactive argument (SNARG) for all \(\mathsf {NP}\) languages and a one-way function. The succinctness requirement for the SNARG is rather mild: We only require that the proof size be \(|\pi |=\mathsf {poly}(\lambda )(|x|+|w|)^c\) for some constant \(c<1/2\), where |x| is the statement length, |w| is the witness length, and \(\lambda \) is the security parameter. Especially, we do not require anything about the efficiency of the verification.
Linguistic models of social and political communication in the online-space: cognitive and pragmatic aspect

The socio-political context of the «post-truth» era, conditioned by the digitalization of all spheres of life, transforms the network content, which forms the basis of network discourses and is the main source of information for the network society. As a result, network content is not simply determined by the categorical concepts of «fact» – «myth», but is completely transformed into the conceptual-categorical apparatus «fact» – «alternative fact», which is essentially informational speculation and leads to the development of destructive socio-political practices and distribution of fake online content. Based on a comprehensive analysis of network data (a methodology developed by the authors that combines theories and methodologies of several areas of scientific knowledge), linguistic models of social and political communication in the online-space were identified and described («Ali Juppe» in France, «Pizzagate» in the USA, «Migrantskidnappers» in India and Pakistan); the result of consumption of new linguo-pragmatic patterns («Allan Juppe – an accomplice of Islamic extremists»; «Don’t vote for Clinton, Vote for Trump» and the side pattern «Save children from pedophiles»; «Pakistani migrants pose a threat») by users of the online-space in the specified countries was investigated; the results of the models’ actions are given and the offline result of the consumption of these patterns is described. The research develops a new direction of linguistic science – network linguistics; consideration of new network models of communication (cognitive stereotypes and linguopragmatic patterns) in the online-space is the main genuine identifier of the discourse varieties formed offline that determine the further behavior (constructive and / or destructive) of the user both online and offline.
Proposal for Analog Signature Scheme Based on RSA Digital Signature Algorithm and Phase-shifting Digital Holography

In this paper, a novel analog signature scheme is proposed by modifying an RSA-based digital signature scheme with optical phase-shifting digital holography. The purpose of the proposed method is generating an analog signature to provide data confidentiality and security during the data transfer, compared to the digital signature. The holographic encryption technique applied to a hash value reveals an analog-type of pseudo-random pattern in the analog signature scheme. The public key and secret key needed to verify the analog signature are computed from public key ciphers which are generated by the same holographic encryption. The proposed analog signature scheme contains a kind of double encryption in the process of generating signature and key, which enhances security level more than the digital signature. The results of performance simulations show the feasibility of the highly secure signature scheme, and security analysis shows high robustness against known-message attacks and chosen-message attacks. In addition, the proposed method can apply to one-time signature schemes which can be used to sign only one message and it can also apply to authentication, e-mails, electronic banking and electronic data interchange.
Redesain Pondok Pesantren Islamic Centre Bin Baz Yogyakarta dengan Pendekatan Konsep Ekologis

Islamic boarding schools are one of the oldest educational institutions in Indonesia. Islamic boarding schools have an important role in providing knowledge to the children of the younger generation, not just the exact science but the science of religion to form virtuous morals as Muslims. Based on this important role, the government was moved to develop Islamic boarding schools for students to be more qualified through an education and entrepreneurship training system as part of the curriculum in the Islamic boarding schools. The Bin Baz Islamic Center Boarding School (ICBB) in Yogyakarta is one of the salivary huts that has the opportunity to develop an entrepreneurial curriculum, so it needs to be redesigned to be able to accommodate educational activities as well as training. The method used for redesign begins with observing and evaluating the physical and behavioral environment of the user (student, teacher, manager and guest), so that the part of the hut that needs to be totally changed, is redesigned, repaired or maintained. Qualitative observations are followed up with the design process. The zoning of the building changes depending on the location of the main entrance. While the main entrance is there, the function changes to a side entrance. Additions to the site (expanded site) for the BLK (Job Training Center) function on the north side of the ICBB, along with housing for clerics and employees. BLK is not just for education and training, but is prioritized as a zone of community interaction with students and religious teachers, so that the presence of Islamic boarding schools is not exclusive, such as opinions that have been circulating. The ecological approach was chosen as a design solution, with the reason that the use of the natural environment around the site is very good, there are Opak Rivers, underground rivers (arthesis), shady forests / trees and rice fields.
Descriptive and Analytical Study of Acute Leukemia in Adults in Eastern Algeria

Acute leukemia (AL) is a group of malignant hemopathies characterized by monoclonal intramedullary proliferation of abnormal hematopoietic cells, the maturation process of which is blocked at the "Blast" stage. In these pathologies, an abnormal cell clone proliferates. By its character of anarchy, of nonresponse to normal regulators of cell proliferation, and its invasive character, this clone assumes all the characters of malignancy. The diagnosis of ALL can no longer be based solely on morphological and cytochemical characteristics but must include the elements of the immunological phenotype of leukemic cells. Currently, a classification based on immunophenotypic and cytogenetic data, as well as on molecular biology data, is necessary for the determination of the optimal treatment. The objective of this work is to reach a descriptive approach of acute leukemia in the region of Annaba, in the east of Algeria.Description of the epidemiological, clinical, and cytological characteristics of the cases of acute leukemia collected in the Hematology Laboratory of Dorban Hospital over a period of 6 years. Analysis of the results of our study and their comparison with those published in the literature, with a reminder of the epidemiological and diagnostic data. The retrospective study was conducted in the division of the hematology hospital of Sidi Ammar-Annaba, during the period from January 2018 to July 2019. This study was based on data from 50 patients. During our study period, the results show that 50 cases of acute leukemia confirmed by the myelogram were notified. The annual average is 12.3 cases. The collected data were made in Annaba at the CHU-Dorban. We noted a variety of clinical signs and a variety of symptoms represented mainly by fever (100%), anemia (100%), hemorrhagic syndromes (30, 6%), and splenomegaly (80.6%), for the myelogram. Acute lymphoblastic leukemia (ALL) was predominant with 25 cases. In conclusion, we can say that. Acute leukemia in adults in eastern Algeria can be expressed by a variety of symptoms and hematological disorders, in addition to a series of associated conditions.
A Survey On Combined Various Data Hiding Techniques

The process of hiding an information in a carrier is referred to as data hiding and there are several methods for this process even though there are certain advantages and drawbacks of most of these methods.one or more data hiding methods can be deployed at the same time depending on the type and level of the intended application. Data information can be hidden in several forms of carriers such as audios, texts, video, protocol, image, and DAN. Some of the digital image data hiding methods pay more attention to image security while some focus on the robustness of the image hiding process and on the imperceptibility of the hidden image. One of the major concern in certain applications is the capacity of information to be hidden in the carrier; as such, the major aim of some previous studies has been to achieve two or more of hidden images’ security, imperceptibility, robustness, and capacity. However, some of these image parameters are sometimes complimentary as only one can be realized at the expense of the other. In this paper, some of the existing digital image hiding techniques were reviewed while a comparative study was conducted between 3 of these hiding techniques.
Editor's Note: A Sickness that Lingers

Nearly a year into the COVID-19 pandemic and we continue to see government restrictions on the flow of civic information to the public. The question is, will these restrictions linger long after the pandemic is over?
Are Cybersecurity Professionals Satisfied with Recent Cybersecurity Graduates

This pioneering research project examines the expectations of cybersecurity professionals in terms of contentment with recent graduates. In particular, the project sought to determine the professionals' satisfaction with recent hires of undergraduate graduates. Overall, 73% of the participants indicated satisfaction with recent cybersecurity graduates. In addition, 67% of these professionals believed that recent graduates had a satisfactory level of competency.
Linear Complexity Private Set Intersection for Secure Two-Party Protocols.

In this paper, we propose a new private set intersection (PSI) protocol with bi-oblivious data transfer that computes the following functionality. The two parties (\(P_1\) and \(P_2\)) input two sets of items (X and Y, respectively) and one of the parties (\(P_2\)) outputs \(f_i(b_i)\) for each \(y_i \in Y\), where \(b_i\) is 0 or 1 depending on the truth value of \(y_i {\mathop {\in }\limits ^{?}} X\) and \(f_i\) is defined by the other party (\(P_1\)) as taking 1-bit input and outputting the party’s (\(P_1\)’s) data to be transferred. This functionality is generally required when the PSI protocol is used as a part of a larger secure two-party secure computation such as threshold PSI or any function of the whole intersecting set in general. Pinkas et al. presented a PSI protocol at Eurocrypt 2019 for this functionality, which has linear complexity only in communication. While there are PSI protocols with linear computation and communication complexities in the classical PSI setting where the intersection itself is revealed to one party, to the best of our knowledge, there is no PSI protocol, which outputs a function of the membership results and satisfies linear complexity in both communication and computation. We present the first PSI protocol that outputs only a function of the membership results with linear communication and computation complexities. While creating the protocol, as a side contribution, we provide a one-time batch oblivious programmable pseudo-random function based on garbled Bloom filters. We also implemented our protocol and provide performance results.
PECULIARITIES OF PROFESSIONAL ACTIVITIES OF ORGANIZATIONAL PSYCHOLOGIST: OBJECTIVES AND PRINCIPLES OF WORK WITH PERSONNEL

The article reveals the specifics of the professional activity of an organizational psychologist on the issues of his work with the personnel of the organization. The basic principles of the work of the organizational psychologist-consultant at the enterprise, the features of his interaction with the team and management are analyzed. The goals and objectives arising in the course of his work are substantiated, and the objects of the psychologist's activity are listed. The main difficulties arising in the interpersonal interaction of the organizational psychologist with the head and employees of the organization are analyzed.
Justice on demand: true crime in the digital streaming era

"Justice on demand: true crime in the digital streaming era." Feminist Media Studies, 21(2), pp. 333–334
Research on Electronic Business Marketing Strategy of Electric Power Companies in Jilin Province under the Background of Economic Transformation

E-commerce, which is a new technical measure, provides new thinking for the Innovation of companies that provide electric energy. Currently, power companies are in a period of economic transformation. In order to become the world's leading power supply companies, we must closely follow the progressive management conception and measure, integrate the management services of companies into the Internet society. In view of the power supply system advantages of Jilin Province, this paper puts forward some power supply schemes for the power supply companies in Jilin Province. Based on the actual operation of power supply companies in Jilin Province, this paper designs the network and structure pattern for power companies, and finally obtains the program of e-commerce website of these kinds of companies.
High Efficiency Error Correction for Continuous-Variable Quantum Key Distribution using Raptor-Like LDPC Codes

We introduce a simple but high efficient raptor-like LDPC code for the long distance continuous-variable quantum key distribution system, which achieves stable reconciliation efficiency of more than 90% under low SNR regions.
스마트공장 공급기업 설문조사를 바탕으로 한 스마트공장 정책 제언

Purpose: This paper treats the survey result from the suppliers of smart factories. Based on the survey results, it is provided suggestions about government policies of the smart factory.Methods: For providing political suggestions, the survey of smart factory is conducted. The survey results are analyzed by the correlation and association methods based on the stratification.Results: The survey results are analyzed for extracting policy-level suggestions. Multiple policy-level suggestions are identified and presented in the conclusion.Conclusion: Six policy-level suggestions are presented for enhancing the management efficiency of suppliers of smart factory.
Effects of online education on pre-service primary English teachers’ learning and their perceptions of online lesson types

This study examines the effects of online telecommuting course on pre-service primary English teachers’ learning and teachers’ perceptions of online class types. In order to compare per-service English teachers’ academic performance between face-to-face classes and home-based online classes, the achievement test scores of 105 students from English education methodology courses were compared. Survey data were also collected from 73 pre-service teachers in the spring semester of 2020. The results show pre-service teachers’ achievement was higher in face-to-face classes than one in online classes regardless of their achievement level. However, the survey respondents answered that they learned most effectively from blended learning followed by online classes and face-to-face classes. Moreover, ‘PPT video’ was the most effective type in online home-based class, followed by ‘real-time zoom’, ‘voice only in PPT’, ‘ assigned online task’, and ‘classroom video’. Also, a class mixed with PPT video and real-time zoom was perceived as a more effective type of class than PPT video-only class and real-time zoom only class. The findings indicates teacher educators need to be aware of pre-service teachers’ preferences of online lesson types and consider how to improve pre-service teachers’ achievement. Important implications regarding online English lessons and pre-service English teacher education are discussed.
IPA를 활용한 제품사용설명서의 작성원칙에 대한 소비자 중요도-만족도 분석

Purpose: This study examined the importance and satisfaction of consumer''s perception of the information delivery format of products and services required and recommended by KS A ISO / IEC Guide 13: 2003 and KS A ISO / IEC Guide 37: 2003.Methods: In this study, the importance and satisfaction of clarity, principles of information transfer, how to use expressions and technical terms, and technical terms, warning signs, and durability were investigated.Results: The t-test analysis of the importance and satisfaction of the Writing Rules of the product user guide showed that all items had statistically significant differences. The importance of the writing rules of the product user guide for the use of the product was in the order of warning signs (4.423), how to use expressions and technical terms (4.215), principles of information transfer (4.163), clarity (3.914), and finally durability (3.851).Conclusion: Among the ''explanation,'' ''instruction'' and ''warning'' functions of the Product User Guide, the consumer uses the manual to identify the inherent dangers and misuse of the product. Besides, since the life of the product is prolonged, the Product User Guide also needs to improve the quality of the cover or paper so that it can use for a long time.
Taking Constructionism Outside: Combining outdoor education, maker pedagogy, and constructionist learning

When education resumes after the COVID-19 emergency, what will schools look like? This paper discusses possibilities in two areas that can help us reimagine what learning might look like in the post-pandemic world: outdoor education and constructionist/maker education. These two areas of educational research have been widely studied and now could become important components of the reimagining of our educational systems.There is a great deal of scientific literature on outdoor education demonstrating its effectiveness, even in pre-pandemic conditions. Now, outdoor education becomes even more important, given the need to provide students with social distancing, and a learning environment with minimized risk of contagion. Now, as indoor makerspaces and other spaces for invention might not be able to accommodate students due to health concerns, we might consider implementing maker education in contexts outside of the school. This paper lays the foundations for future designs of educational units that combine the principles of outdoor education and Constructionist/maker pedagogy.
Deep Learning and Graphical Models

This chapter includes a brief introduction to neural networks and deep learning. An analysis of the relations between neural networks and probabilistic graphical models is presented, in particular for the Perceptron versus the Naive Bayes classifier, and multilayer neural networks versus Bayesian networks. Several alternative approaches that combine deep neural networks and graphical models are discussed, including two applications of these hybrid models: human body pose tracking and error correcting codes.