Reviewerly/exHarmony huggingface dataset:
An Optimization Image Dehazing Algorithm Based on Dark Channel Prior

The foggy environment always causes color distortions and reduces the contrast and resolution of images which are captured by imaging systems working in this scene. Although the traditional dark channel prior dehazing algorithm can estimate the transmission rate of the imaging environment and obtain a considerable dehazing effect, it has a high complexity in time and space, and it still exists as the effect of the block, and the color deviation problem in bright areas. In order to improve the problems mentioned above, we propose an optimization dehazing algorithm, and it can revise the transmission rate of bright regions by introducing the tolerance mechanism, and then use the guidance filter to further refine the transmission rate. The experimental results show that the method we proposed can optimize the color deviation problem and improve the operation speed.
Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique

Deep Gaussian process (DGP) is one of the popular probabilistic modeling methods, which is powerful and widely used for function approximation and uncertainty estimation. However, the traditional DGP lacks consideration for multi-view cases in which data may come from different sources or be constructed by different types of features. In this paper, we propose a generalized multi-view DGP (MvDGP) to capture the characteristics of different views and model data in different views discriminately. In order to make the proposed model more efficient in training, we introduce a pre-training network in MvDGP and incorporate stochastic variational inference for fine-tuning. Experimental results on real-world data sets demonstrate that pre-trained MvDGP outperforms the state-of-the-art DGP models and deep neural networks, achieving higher computational efficiency than other DGP models.
Impact of Financial Resources on Growth

본 연구는 기업 성장에서 자본조달 방식이 성장요인으로 작용하는지를 분석하였고, 연구 범위는 중소기업과 대기업으로 한정하여 재무적 요인의 차이점을 찾고자 하였다. 본 연구는 자원기반 관점(resource-based perspective)에서 재무적 요인이 성장에 미치는 영향을 찾고자 중소기업과 대기업을 분석 대상으로 하여 재무적 요인을 내부자본과 외부자본으로 구분하여 분석하였다. 본 연구의 표본기업 재무자료는 한국신용평가정보의 New Kis-Value에서 추출하였고, 2008∼2018년 기간의 자료를 사용하였다. 분석은 OLS 방법을 기본으로 확률효과모형(random-effect model)과 고정효과모형(fixed-effects model)을 추가해 회귀분석을 하였다. 연구결과, 중소기업에서 내부자금(총자산이익률)은 영향이 없었으며, 단기차입금만 성장에 유의한 정(+)의 영향을 보였다. 대기업에서는 내부자금(총자산이익률)과 장기차입금이 성장에 유의한 정(+)의 영향을 보였다. 그리고 중소기업은 기업규모에서 대기업은 업력에서 유의한 부(-)의 영향이 나타났다. 또한, 성장에 영향을 주는 재무 요소가 중소기업과 대기업에서 각각 다르게 나타났다. 본 연구는 성장의 결정요인을 구분하는 것으로 학문적 의미가 있었고, 특히 중소기업과 대기업의 성장을 위한 정책적 지원과 입안 과정에서 연구결과가 참고해야 할 시사점이 될 수 있을 것이다.This study analyzed whether the capital raising method acts as a growth factor in corporate growth, and the scope of the study is limited to SMEs and large firms to find differences in financial factors. This study was aimed at investigating the impact of financial factors on growth from the resource-based perspective. For this purpose, financial factors were analyzed based on the classification of internal capital and external capital for small and medium sized enterprises (SMEs) and large firms. Financial data of the sample firms for this study were extracted from the New Kis-Value of the Korea Investors Service, and their duration was 2008∼2018. For analysis, a regression analysis was performed with the OLS method as a basis by adding the random-effect model and the fixed-effects model. The results are as follows. For SMEs, internal capitals (return on assets) had no impact and only the short term loan had a significantly positive impact on growth. For large firms, internal capitals (return on assets) and long term loan had a significantly positive impact on growth. In addition, for SMEs, the firm size showed a significantly negative impact while the firm age did so for large firms. Furthermore, financial factors affecting growth were different between SMEs and large firms. This study was academically meaningful as distinguishing the determinants of growth, and in particular, the results of the research could be a reference point in the policy support and planning process for the growth of SMEs and large firms.
Wavelet packet transform-based medical image multiple watermarking with independent component analysis extraction

Rapid growth of internet in all aspects of life has led to the easy availability of the digital data to everyone. E-commerce, telemedicine, etc., are among the many applications of internet. Telemedicine is a crucial field where internet finds application. Healthcare professionals use internet to transmit and receive medical data. Thus the medical images can be shared, processed and transmitted through computer networks. All patient records, linked to the medical secrecy, must be confidential. Because of the importance of the security issues in the management of medical information, there is a need to develop watermarking techniques for protecting medical images. In this paper, colour medical image watermarking methods rely on wavelet packet transform (WPT) and extraction using independent component analysis (ICA). For watermark extraction, Pearson ICA is applied as it attains the new trait is that it not entail the renovation procedure in watermark extraction. The grades show that projected method is vigorous beside attacks such as Gaussian noise, salt and pepper noise, rotation and translation. The performance measures like PSNR, similarity measure and normalised correlation are assessed to confirm the robustness of the scheme.
An integrated geoscience workflow to improve unconventional play assessment - an example from the SCOOP/STACK, Oklahoma

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.
“Live Education” as an alternative approach in modern pedagogy

What a modern education should be to relate to life, or to form appropriate competencies that would allow an individual to find his way in life in the future? The article covers issues concerning education as a dynamic, flexible process which should be based on the deep will to life rather than on its suppression. “Live Education”, being a metaphor, allows you to consider the forms of learning and the characteristics that activate the learning process and its ultimate effectiveness. Reverse, interactive, research, integrated, mixed online and on-line trainings are the forms that allow you to speak about restoration of dynamics in learning to increase its efficiency and, accordingly, to make it to be closer to life situations.
Angle histogram of Hough transform as shape signature for visual object classification - (AHOC)

This work presents a new method for object classification using Hough transform (HT) and angle histogram as an object signature. Several methods are reported in the literature that exploit HT and other techniques as a pre-processing step to characterise objects to be used in detection, recognition, classification, etc. HT is a powerful technique to extract shape features from 2D objects; it has been used in many studies and implemented successfully in many applications. Our study is unique by post processing HT voting space using a binary threshold then computing an angle histogram of the resulting angle space as a shape signature of objects. Our image set consisted of 25 simple geometric shapes and six complex natural object classes of: trees, people, cars, airplanes, houses and horses. The method was trained and tested using 225 images from six different classes and found to be robust with a classification accuracy of 95.83%.
The Evolution of PCI DSS

Many believe that the Payment Card Industry Data Security Standard (PCI DSS) began in December 2004. However, much like Darwin’s theory of evolution, the evolution of the PCI DSS controls framework has a much longer history.
Optimal Social Media Content Moderation and Platform Immunities

This Article presents a model of the lawmakers' choice between implementing a new content moderation regime that provides for platform liability for user-generated content versus continuing platform immunity for the same. The model demonstrates that lawmakers prefer platform immunity, even if incivility is increasing, if the costs of implementing a platform liability regime are greater than the costs of enforcing status quo law. In addition, inasmuch as implementation of a platform liability regime is coupled with new speech restrictions that are unconstitutional or prohibitively costly, lawmakers prefer immunity, but platforms are free to set strong content moderation policies consistent with existing law. Thus, the private governance function of platforms highlighted by Balkin and others is directly related to lawmakers' ability to enact and enforce alternatives, and further, it goes beyond mere private enforcement of existing free speech restrictions. Inasmuch as lawmakers are prohibited from suppressing unwanted speech by constitutional limits as well as lawmaking and enforcement costs, they give platforms wider discretion to make private suppression decisions. The status quo governance function of platforms, therefore, includes a private lawmaking function for determining which types of speech to suppress, albeit one bounded by the state’s appetite for alternatives.
L2 willingness to read amongst young EFL learners: social economic background, linguistic competence and gender as predictors

Even though previous research have shown that reading improves one’s language proficiency and a lot of research have been done to examine how young learners learn a second or foreign language, our knowledge on their willingness to read second (L2) or English as a foreign language (EFL) materials  remains inadequate and limited. The current study aims to explore young EFL learners’ willingness to read English materials and if it can be predicted based on their social-economic background, English language proficiency and gender. Ninety-five young EFL learners from two elementary schools in a monolingual community participated in a reading programme called Ace Your English: Read for Life. All participants completed a survey questionnaire on their willingness to read English materials/books before the start of the reading programme. The study revealed that young EFL learners’ willingness to read English books materials is not necessarily influenced by their SES. However, linguistic competence and gender are strong predictors of their willingness to read. Based on the findings of this study, almost all young EFL learners are willing to read English books either voluntarily or through persuasion from the teachers or parents.
iOS Client Administration

iOS and iPadOS, by extension, are relatively young operating systems when compared to macOS. Having launched with the first iPhone in 2007, it is only a little over 12 years old and now on its thirteenth release. iOS is much simpler and more straightforward to manage than a desktop operating system. Originally envisioned as an OS for a telephone handset, it didn’t have the requirements of a traditional computer operating system, like the ability to install software downloaded from anywhere on the Internet or robust peripheral support. While iOS is less complicated than a true desktop-class system, there are a number of key features that system administrators should be familiar with when supporting fleets of iPhones and iPads. This chapter provides the foundation for understanding the capabilities that Apple provides for configuring, securing, and troubleshooting iOS devices running iOS 13 and iPadOS (13).
Availability's Law

Cybersecurity incidents affecting the availability of computers, networks, and data are on the rise. Distributed denial-of-service and ransomware attacks can bring down critical systems and databases, making them unavailable when most needed, potentially affecting every individual, industry, sector, and branch of government. This Article critically evaluates cybersecurity law’s gap in addressing the growing threat of availability attacks to information technology systems. While cybersecurity law is defined as the legal framework that “promotes the confidentiality, integrity, and availability of public and private information, systems, and networks . . . .”, this Article argues that cybersecurity law is overwhelmingly concerned with confidentiality and integrity, often to the exclusion of availability. This Article offers a theory as to why availability is so often ignored by cybersecurity law, and why it should not be. This Article also acknowledges that while cybersecurity law at present is unsatisfactory, certain regulatory and market-based solutions can alleviate the risks arising from availability threats that are currently not covered by the law
Aplikasi Media Pembelajaran Berbasis Webblog dan Videoscribe untuk Meningkatkan Hasil Belajar Siswa Kelas X Akuntansi di SMK Muhammadiyah Delanggu

The purpose of this study is to use Webblog and Videoscribe as learning media on the accounting equation basic competencies to improve student learning outcomes in class X Accounting at SMK Muhammadiyah Delanggu. This research is descriptive research. In this study also used experimental research as a research design. The research instrument uses a learning media validation sheet from media experts as well as student learning outcomes sheets. Before the webblog and videocribe learning media are used on students, validation is done first by the media experts, the results of the validation from the media experts obtained a value of 74 which is located in a very good range, so that the webblog and videocribe learning media can be used for research. Measurement of learning outcomes was carried out on 16 students of class X Accounting at Muhammadiyah Delanggu Vocational School which were used as the control class and experimental class. Student learning outcomes obtained from the control class and the experimental class will then be tested with a parametric statistical test that is the Independent Sample T Test. Independent Sample T Test Results obtained sig (2-tailed) value of 0,000 <0.05 which means there are significant differences in average learning outcomes before and after using webblog and videoscribe media. an increase in the average student learning outcomes by 20.94% of the average learning outcomes before using media 73.13 and the average learning outcomes after using media by 88.44.
The Impact of Information Communication Technology on the Communicative use of English Language

Every human being uses his mother tongue or any regional language for communication, but the rapid growth of Information Communication Technology and Computer Technology in this era of globalization has been connecting people together for various purposes. English has become an advent of catering the smooth and easy needs of communication, which bridged the people together. Globalization aided by modern Information Communication Technology and Computer Technology has been providing an appropriate acceptance of global communicative forms in the field of communication which are commonly used at common level with the local implications. In this era of social, political and economic globalization, these new changing communicative forms of communication in the entire globe have proved to be more lucrative and rewarding disciplines. The need of using these new changing communicative forms has marked the life of the people. Access and use of these new and changing forms have been becoming easy and popular in all over the globe with interconnectivity of the global and the glocal. These new technology oriented communicative forms has an outburst effect on English language and adding various innovations in it.
『영미어문학』속 영‧미시 연구 동향과 비전

This study aims to analyze the trends of research on the English and American Poetry, which was published by Studies in British and American Language and Literature for the last six decades. The total volume of articles was 248, including 14 articles in 1960s, 24 articles in 1970s, and 16 articles in 1980s. Based on time periods of each decade of 1960s, 1970s, and 1980s, this study refers to research trends on Prof. Jang, Seki and other researchers and the articles that they published at those times. Since 1990s, as a large number of articles have been published, this study briefly refers to their thesis titles and name of authors. Furthermore, concerning articles published from 2000 to the present, this paper presents research trends and visions on the poetry articles by mainly examining and focusing on some researchers who published more than 10 articles on poetry fields. Through a series of process, this paper identifies the current trends of articles published in 2000s, by extension, it also expects research visions of this field in the future. In addition, this paper is expected to attract many renowned scholars’ participation on the British and American Poetry in the future.
One Sparse Perturbation to Fool them All, almost Always!

Constructing adversarial perturbations for deep neural networks is an important direction of research. Crafting image-dependent adversarial perturbations using white-box feedback has hitherto been the norm for such adversarial attacks. However, black-box attacks are much more practical for real-world applications. Universal perturbations applicable across multiple images are gaining popularity due to their innate generalizability. There have also been efforts to restrict the perturbations to a few pixels in the image. This helps to retain visual similarity with the original images making such attacks hard to detect. This paper marks an important step which combines all these directions of research. We propose the DEceit algorithm for constructing effective universal pixel-restricted perturbations using only black-box feedback from the target network. We conduct empirical investigations using the ImageNet validation set on the state-of-the-art deep neural classifiers by varying the number of pixels to be perturbed from a meagre 10 pixels to as high as all pixels in the image. We find that perturbing only about 10% of the pixels in an image using DEceit achieves a commendable and highly transferable Fooling Rate while retaining the visual quality. We further demonstrate that DEceit can be successfully applied to image dependent attacks as well. In both sets of experiments, we outperformed several state-of-the-art methods.
A meta-analysis study of the use of worksheet (LKS) based on research-based learning models

Abstract This study aimed to determine the effect of the use (LKS) on the achievement of physical competence of learners. Its influence will be examined from several journals. This study used meta-analysis. Research shows that the use of meta-analysis LKS towards the achievement of more effective learners. The results showed the effect of size on the achievement of students with rigorous of several journals in the effect size obtained is average. It can be proved that the LKS can provide a considerable influence on the achievement of competence of learners.
Development of PPKn Module for the Love of the Environment Material Using Example Non Example Learning Model to Increase Student Learning Activities in Class II Public Elementary School 040446 Kabanjahe T.P. 2018/2019

This study produced a PPKn module on environmental love by using the example non example learning model to increase student learning activities. The research method used is the Research and Development method which refers to the development of Borg and Gall (in Tegeh et al, 2014: 7-13). The module development process is carried out with three stages, namely the preliminary study stage, initial product development and product trials. The results of the study show that the assessment of eligibility by material experts obtained an average of 91.6%, the feasibility assessment by linguists obtained an average of 92, 1%, Feasibility assessment by design experts obtained an average of 80%. Individual trials with an average of 80.5% in the good category, small group trials with an average of 85.4% in the excellent category, and limited field trials with an average of 88.4% in the very good category. The results of observations of student activities observed an average of 92.4%, The results of observations of student activities asked an average of 85.6%, The results of observations of student activities tried with an average of 84.9%, The results of observations of student activities associated with reasoning an average of 89.4%, the results of observations of student activities communicate with an average of 83.9%. The average score at 69.8 pretest and 82.3 at posttest. This proves that the PPKn module of environmental love material by using the example non example learning model is feasible, easy, and effective for use in class II grade students. This research has implications for the use of the PPKn module on environmental love material by using the example non example learning model to increase student activity and activity
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums

New learning resources are created and minted in Massive Open Online Courses every week -- new videos, quizzes, assessments and discussion threads are deployed and interacted with -- in the era of on-demand online learning. However, these resources are often artificially siloed between platforms and artificial web application models. Facilitating the linking between such resources facilitates learning and multimodal understanding, bettering learners' experience. We create a framework for MOOC Uniform Identifier for Resources (MUIR). MUIR enables applications to refer and link to such resources in a cross-platform way, allowing the easy minting of identifiers to MOOC resources, akin to #hashtags. We demonstrate the feasibility of this approach to the automatic identification, linking and resolution -- a task known as Wikification -- of learning resources mentioned on MOOC discussion forums, from a harvested collection of 100K+ resources. Our Wikification system achieves a high initial rate of 54.6% successful resolutions on key resource mentions found in discussion forums, demonstrating the utility of the MUIR framework. Our analysis on this new problem shows that context is a key factor in determining the correct resolution of such mentions.
Face Image Deblurring: A Data-Driven Strategy

Nowadays remarkable progress has been observed in facial detection as a core part of computer vision. Nevertheless, motion blur still presents substantial challenges in face detection. The most recent face image deblurring methods make oversimplifying presumption and fail to restore the highly structured face shape/identity information. Therefore, we propose a data-driven based face image deblurring approach that foster facial detection and identity preservation. The proposed model includes two sequential data streams: Out of any supervision the first has been trained on real unlabeled clear/blurred data to generate a close realistic blurred image data during its inference. On the other hand, the generated labeled data has been exploited with by a second supervised learning-based data steam to learn the mapping function from blur domain to the clear one. We utilize the restored data to conduct an experimentation on face detection task. The experimental evaluation demonstrates the outperformance of our results and supports our system design and training strategy.