Reviewerly/exHarmony huggingface dataset:
Adults Myelodysplastic Syndromes in Algeria: A Study by the Algerian MDS Group

Introduction: Myelodysplastic syndromes (MDS) are a group of haematological disorders, whose diagnosis is based mainly on cytological studies of blood and marrow cells and cytogenetic analysis. Moreover, national epidemiological data on MDS are very scarce, especially in Maghreb countries where the population is on average younger than in Europe or the USA. The objective of the present study was to describe demographic and clinical features and the overall survival of patients with MDS in Algeria. Materials and Methods: This study is retrospective and national multicenter (n=19 centres), performed between 2014 to 2019. The evaluation was performed using EPI-INFO and SPSS version 21 software. Survival data were calculated using the Kaplan-Meier method and comparison of survival curves using the Log Rank test. Univariate and multivariate analysis of survival was performed using the Cox regression method. The study has been approved by the Ethical and Scientific Council of the participating hospitals. The closing date of the study is 31/12/2019. Results: A total of 670 patients with newly diagnosed MDS have been identified. The average number of new cases was 112/year, with an annual progression rate of 19%. Demographics show a slight female predominance (M/F of 317/353=0, 89; sex ratio F/M=1.11). The median follow-up was 29,3 months (range, 1 to 77 months). The overall median age was 69 years (range 16-96). The crude mean annual incidence rate was 0, 38 per 100,000 inhabitants aged ≥15 years old and it was 0, 17/100,000 in men and 0, 21/100,000 in women. Overall survival was 39 months. According to the IPSS score, the high-risk forms are low and their overall survival was 15 months. The rate of transformation into acute myeloid leukaemia (AML) is 32%. Conclusion: This national epidemiological survey shows an annual progression rate of 19% and an increase in incidence from 0.007/100.000 in 2005 to 0.45/100.000 in 2019.&#x0D;
Secure vertical federated learning based on feature disentanglement

Federated learning (FL) faces many security threats. Although multiple robust FL frameworks have been proposed to defend against these malicious attacks in horizontal federated learning (HFL), security issues in vertical federated learning (VFL) have not been adequately studied. Recent studies show that VFL is vulnerable to inference attacks (e.g., label inference attacks), which puts VFL at risk. To solve this problem, we propose a new VFL framework SVFL (Secure Vertical Federated Learning) to defend against privacy breaches inspired by feature disentanglement. Specifically, in SVFL, the bottom models are feature extractors to extract samples’ features in the high-dimensional space, and the top model sews samples’ features of the same sample ID. Then, disentangling the samples’ features into the class-relevant feature and class-irrelevant one via two classifiers: one is to recognize the class-relevant feature by regular training, and another is to recognize the class-irrelevant feature by adversarial training. Our experiments show that SVFL not only defends against label inference attacks, no matter how many samples features a malicious participant occupies, but also improves the global model’s accuracy. Therefore, SVFL provides a privacy security guarantee for the vertical federated learning system.
Performance Evaluation of Local Binary Patterns LBP for Copy-Move Forgery Detection in Digital Images: A Comparative Study

Copy-move forgery is a type of image tampering that involves copying a portion of an image and pasting it to another part of the same image with the intention of deceiving the viewer. In recent years, many approaches have been proposed to detect copy-move forgery, including those based on local binary patterns (LBP). In this paper, we perform a comprehensive evaluation of LBP-based methods for copy-move forgery detection using a dataset of 50 digital images. We compare the performance of four LBP-based methods, namely LBP, SIFT and SURF using metrics such as accuracy, precision, recall, and F1-score. Our results show that LBP outperforms the other methods in terms of accuracy and F1-score, while SIFT has the highest precision and recall. We also investigate the effect of various parameters, such as patch size and threshold values, on the performance of LBP. Our study provides valuable insights into the strengths and weaknesses of LBP-based methods for copy-move forgery detection, which can guide future research in this area. This study evaluates the performance of Local Binary Patterns (LBP) for detecting copy-move forgery in digital images. LBP is a widely used feature extraction technique in image processing and has been applied to various computer vision tasks, including forgery detection. The comparative study involves analyzing the accuracy, precision, recall, and F1-score of LBP and other popular forgery detection techniques, including SIFT and SURF, using a dataset of 50 digital images. The results show that LBP performs better than the other techniques, achieving an accuracy of 96.6%, precision of 94.0%, recall of 100%, and F1-score of 96.9%. This study provides useful insights for researchers and practitioners in the field of forgery detection, particularly for those interested in using LBP as a feature extraction technique.
Multimodal CNN-Based System For Mask And Maskless Face Detection

Face masks existed for much longer before the pandemic corresponding to COVID-19, whereverstaff in several sectors, such as medical, chemical, and nuclear, needed to wear masks throughout duties.Following the pandemic caused by the COVID-19 virus, most countries requested publicly covering thenose and mouth as vital life to keep the communities safe. However, 24/7 human superintendence is almostimpossible.In this paper, an efficient and automatic multimodal face mask detection was developed. The model wasengineered based on intensive investigations, where first, the performance of two well-known deep learningmodels, particularly MobileNetV2 and VGG19, was investigated. Next, the performance was furtherimproved using the late fusion principle. Four datasets consisting of roughly 6K, 12K, 4k, and 4k images,respectively, are used to confirm the results robustness of the developed model. Overall, the results of theexperimental works showed that fusion leads to a more stable and outperforming model compared to fivebase CNN models, i.e., MobileNetV2, VGG19, and three sequent models.
Wireless Smart Notice Board Using Dot Matrix

Abstract: Whether a firm is for profit or not, the information sharing component of information technology is a major factor in all types of businesses. Nowadays, all company models depend on and use the capacity of advertising to market their goods and services. The present demand of the modern business and information world is for digital advertising. International airports, metro train stations, shopping centres, bus stops, etc. all employ scrolling LED dot matrix displays. Led displays are a good way to show information, but making the message dynamic is challenging since users must adjust the message content to meet their particular needs. The user must connect the Led display to the computer in order to change the message content. The wireless based dot matrix display creates the wireless connection between individual mobile and Led display in the event that the user requires pairing the Led display with the computer in order to change the message content, which makes it difficult to place the display board anywhere due to the dedicated and complex setting up pattern. It provides the facility of real time message displaying means the user can change the message content that is to be display. The message is sent from a mobile device to the LED display, and the microcontroller handles all processing for scrolling the message's content on the LED display. The project's goal is to create a wireless scrolling message board that allows the user to update the information without using a connection to connect the display board to a computer or laptop. The user has the option of using Bluetooth or Wi-Fi to refresh the message content.
A Study on Customer Preference and Economic Value of IPHONE and One Plus

A mobile, cellular phones, mobile phones, cell phone or just phone, is a portable telephone that can make and receive calls over a radio frequency link while the user is moving within a telephone service area.The radio frequency link establishes a connection to the switching systems of a mobile phone operator, which provides access to the public switched telephone network.The first handheld mobile phone was demonstrated by Martin Cooper of Motorola in New York City in 1973, using a handset weighing 2 kilograms.Mobile phones are considered an important human as it has been one of the most widely used and sold pieces of consumer technology.The growth in popularity has been rapid in some places, for example in the UK the total number of mobile phones overtook the number of houses in 1999.Today mobile phones are globally ubiquitous and in almost half the world's countries, over 90% of the population own at least one.In 2001, the third generation (3G) was launched in Japan by NTT DoCoMo on the WCDMA standard.This was followed by 3.5G, 3G+ or turbo 3G enhancements based on the high-speed packet access (HSPA) family, allowing UMTS networks to have higher data transfer speeds and capacity.By 2009, it had become clear that, at some point, 3G networks would be overwhelmed by the growth of bandwidth-intensive applications, such as streaming media.Consequently, the industry began looking to data-optimized fourthgeneration technologies, with the promise of speed improvements up to ten-fold over existing 3G technologies.The first two commercially available technologies billed as 4G were the WiMAX standard, offered in North America by Sprint, and the LTE standard, first offered in Scandinavia by TeliaSonera.Feature phone is a term typically used as a retronym to describe mobile phones which are limited in capabilities in contrast to a modern smartphone.Feature phones typically provide voice calling and text messaging functionality, in addition to basic multimedia and Internet capabilities, and other services offered by the user's wireless service provider.A feature phone has additional functions over and above a basic mobile phone, which is only capable of voice calling and text messaging B. Statement Of ProblemThe usage of the smart phones in the day-to-day life has been duly increased.The features, design, quality and experience are different from one brand to another brand.The usage of premium brand mobiles is increasing rapidly.By considering the above element the study is made to identify customer preference and economic value of iPhones and One plus.
ONLINE BANKING SECURITY WITH REAL TIME FACE RECOGNITION APPROACH

Online banking has become an essential part of modern banking. Many attacks are successful in accessing social network accounts since the current password-based authentication paradigms are not efficient and robust enough as well as vulnerable to automated attacks. The simplest alternative is complementing the single factor (password-based) authentication process with additional identification elements, such as one-time PIN codes, generated by the user’s own device (e.g., the smartphone) or received via SMS. To improve the security of online banking transactions, real-time face recognition technology can be used as a biometric authentication technique. This technology provides a reliable and convenient way of verifying the identity of customers in real-time. The aim of this project is to develop an online banking system that uses real-time face recognition technology for customer authentication. The system will be designed to provide a secure and user-friendly interface that allows customers to carry out banking transactions such as funds transfer, bill payments, and balance inquiries. The system will incorporate a Grassmann Learning algorithm that is capable of capturing and analyzing a customer's facial features in real-time. The algorithm will compare the facial features of the customer with those in the bank's database to verify the customer's identity. Second level verification based on OTP verification in reverse order. The system will provide a secure and user-friendly interface for customers to carry out banking transactions in real-time. In this proposed net banking application notifications are sending to the user regarding banking interface access and amount transaction.
Secure E-Voting System using Blockchain Technology

Abstract: Implementing a safe and efficient electronic voting system that will maintain the fairness and privacy as well as simultaneously provide the transparency and flexibility of electronic systems has been a challenge since a long time. Digital system can be highly beneficial to senior citizens and especially for people living in the rural areas. But any system which is online can have a tendency to get hacked or disrupted. Even a single minute flaw has the potential to lead to large-scale vote tampering. Hence, we have proposed an electronic voting system which uses the blockchain technology and addresses some of the drawbacks of existing systems.
Categorical Vector Space Semantics for Lambek Calculus with a Relevant Modality

We develop a categorical compositional distributional semantics for Lambek Calculus with a Relevant Modality <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow class="MJX-TeXAtom-ORD"><mml:mo mathvariant="bold">!</mml:mo><mml:msup><mml:mi mathvariant="bold">L</mml:mi><mml:mo mathvariant="bold">∗</mml:mo></mml:msup></mml:mrow></mml:math>, a modality that allows for the use of limited editions of contraction and permutation in the logic. Lambek Calculus has been introduced to analyse syntax of natural language and the linguistic motivation behind this modality is to extend the domain of the applicability of the calculus to fragments which witness the discontinuity phenomena. The categorical part of the semantics is a monoidal biclosed category with a <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>!</mml:mo></mml:math>-functor, very similar to the structure of a Differential Category. We instantiate this category to finite dimensional vector spaces and linear maps via "quantisation" functors and work with three concrete interpretations of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mo>!</mml:mo></mml:math>-functor. We apply the model to construct categorical and concrete semantic interpretations for the motivating example of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow class="MJX-TeXAtom-ORD"><mml:mo mathvariant="bold">!</mml:mo><mml:msup><mml:mi mathvariant="bold">L</mml:mi><mml:mo mathvariant="bold">∗</mml:mo></mml:msup></mml:mrow></mml:math>: the derivation of a phrase with a parasitic gap. The efficacy of the concrete interpretations are evaluated via a disambiguation task, on an extension of a sentence disambiguation dataset to parasitic gap phrase one, using BERT, Word2Vec, and FastText vectors and relational tensors.
A Case Study on Innovative School Climate and Educational Performance Change - Focusing on the Specialized High School Innovation Support Project

본 연구는 종합적 학교혁신정책으로서 특성화고 혁신지원사업이 가지는 특징에 주목하여 정책을 통한 학교풍토와 교육성과의 변화를 분석한다. 본 연구는 학습조직이론의 프레임을 활용하여 혁신지원사업을 운영하는 과정에서 혁신적 학교풍토 및 긍정적 교육성과의 달성과정과 운영상 한계를 사례연구 방법을 적용하여 심층적으로 드러내고자 한다. 이를 위해 6년간 혁신지원사업 및 매력적인 직업계고 육성 사업을 운영한 세 학교의 사례를 조사하고, 사업 운영에 주요한 역할을 담당한 교사 또는 관리자를 면담하였다. 연구의 주요 결과 및 시사점을 제시하면 다음과 같다. 먼저 혁신지원사업을 운영한 사례학교들은 혁신적 학교풍토의 변화를 경험하였으며, 변화를 선도하는 교사 또는 관리자 한 사람이 중요한 역할을 하였다. 이때 비전 공유와 교사 역량 강화, 공간 혁신 등이 변화의 동력으로 작용하면서 학교풍토와 더불어 학생들의 교육성과도 긍정적으로 나타나는 ‘강화 프로세스’가 작동되는 현상을 확인하였다. 변화의 강화 조건으로는 예산 활용 범위의 자율성, 학교장의 리더십 및 지원, 교사들의 마인드 혁신이 주요했다. 반면, 변화의 제약 조건으로는 과도한 업무 부담, 협력하지 않는 조직풍토, 관리자의 관심 및 지원 부족, 코로나19 변수 등이 작용했으며, 이로써 사업의 긍정적인 영향이 지속되기 어려운 ‘균형 프로세스’가 작동하기도 했다. 본 연구 결과 혁신지원사업 운영은 학교의 풍토와 성과에 긍정적 영향을 줄 수 있음이 확인되었다. 결과적으로 본 연구는 학교 단위 교육정책을 통해 무형의 학교 자본으로서 혁신 풍토가 긍정적인 성과를 유도할 수 있음을 시사하고 있다. This study aims to reveal the process of achieving innovative school climate and educational outcomes, and limitations in the process of the Specialized High School Innovation Support Project using the learning organization theory by applying a case study method. For this, the cases of three schools that operated the Innovation Support Project and the Attractive Vocational High School Project were investigated, and a teacher or principal in charge of the project were interviewed. The main results and implications of the study are presented as follows. First, case schools experienced changes in the innovative school climate, and a principal or teacher played an important role in the change. The ‘reinforcement process’, in which vision sharing, teacher competency development, and spatial innovation acted as a driving force, manifested the school climate and the educational performance. The reinforcement conditions were the autonomy of budget utilization, the leadership of principals, and the mind innovation of teachers. Whereas, constraints for change include excessive work load, climate of non-cooperation, lack of support from the principal, and COVID-19, which can lead to the operation of a ’balanced process’ that is difficult to sustain a positive impact on the project. The result of this study confirmed that the Innovation Support Project can have a positive impact on the climate and performance of schools. As a result, this study suggests that the innovation climate as intangible school capital through school-level education policies can induce positive outcomes.
A Policy Network Analysis on the Legislation of the Basic Academic Achievement Guarantee Law

본 연구는 기초학력보장법 제정 과정에서 드러난 정책네트워크의 특징을 분석하는 데 목적이 있다. 1980년대부터 시작되었던 기초학력보장정책 중에 본 연구는 2016년 3월부터 2021년 8월까지의 법제화 과정에서 드러난 정책네트워크를 분석하였다. 연구진은 5년 동안 생산된 관련 법령, 언론 보도, 공청회 자료 등을 활용하여 법제화 과정을 정책추진기, 정책교착기, 정책합의기로 나누어 행위자와 주요 쟁점, 네트워크 구조를 분석하였다. 연구 결과 기초학력보장법은 이슈네트워크의 형태를 띄며 정책환경과 행위자 간 네트워크의 변화에 따라 그 과정에서 변화를 겪었다. 정책 추진 과정을 통해 다양한 갈등이 합의되었고, 초기의 입법안에서 1교실 2교사제나 진단평가 의무화 같은 주요 쟁점들이 수정된 채로 법안 통과가 되었다. 이러한 점은 정책을 법화하려는 목적을 달성하였지만, 법안 통과를 위한 타협 전략에 대한 재고가 필요하다고 할 수 있다. 마지막으로 본 연구를 통해 기초학력에 대한 개념 정의, 타협 전략에 대한 재고, 외연확대 등을 제언하며 향후 정책 연구 주제를 제안하였다. The purpose of this study is to analyze the characteristics of the policy network revealed in the legislation of the Basic Academic Achievement Guarantee Law. In the progress of the basic academic achievement education policy that began in the 1980s, this study focuses on the policy network revealed in the process of legislation from March 2016 to August 2021. The researchers utilized related laws, media reports, and public hearing materials produced over the past five years, and analyzed the actors, major issues, and network structure by dividing the process of legislation into initiation period, standstill period, and agreement period. According to research results, the Basic Achievement Guarantee Law took the form of an issue network and underwent changes according to changes in the policy environment and network between actors. Various conflicts were agreed upon through the legislation initiation process, and the bill was been passed after excluding major issues such as the one class two teachers system or the mandatory diagnostic evaluation which were included in the initial bill. Although the entire legislation process achieved the purpose of legislating the policy, it needs reflection on the the compromise strategy for the passage of the bill. Finally, the researchers suggested further research topics on the conceptualization of the basic academic achievement, reconsideration of compromise strategy, and expansion of policy actors for the future.
College Students" Perception on Blended Type of English Courses

본 연구에서는 대학생을 대상으로 대면과 비대면을 혼합한 블렌디드 형태의 교양 영어 수업에 대한 인식을 조사하였다. 이를 위하여 경기도 소재 대학의 학생 470명을 대상으로 설문을 시행하여 선호하는 교양영어의 수업 형태, 각 수업 형태에서 학습하기 희망하는 학습영역, 블렌디드 교양 영어 수업의 고려할 사항을 조사하였다. 그 결과, 학생들은 비대면 수업 및 블렌디드 수업에 대한 선호도가 대면 수업의 선호도보다 높았으며 학습하기를 희망하는 영역은 수업 형태에 따른 차이가 있었다. 또한 블렌디드 수업 진행시 3학점, 매주 3시간을 가장 선호하며, 대면과 비대면 중에서 한 가지 형태의 수업을 먼저 지속적으로 진행하는 형태를 가장 선호하였다. 비대면 수업에서는 실시간 수업이나 비실시간 수업에서 모두 학습자나 교수자 요인보다는 수업진행에 필요한 기술적인 부분이 가장 중요하다고 인식하고 있다. 본 연구에서는 교양 영어 블렌디드 수업에 대한 학생들의 수요를 확인하였고, 학생 인식을 통하여 교양 영어 수업계획 수립에 참고할 부분을 도출하였다. The study investigated perceptions on a blended form of English language classes that combines face-to-face and online instruction among university students. To do so, I conducted a survey of 470 university students in Gyeonggi Province to investigate their preferences for types of English language classes, areas of learning they hoped to cover in each type of class, and considerations for blended English language classes. The results showed that students had a higher preference for online and blended classes than face-to-face classes, and there were differences in the areas of learning they hoped to cover based on the type of class. In addition, students most preferred a vertically blended form of class that continues one type of class delivery (face-to-face or online) for a while and 3 credits and 3 hours of instruction per week. In terms of online classes, students perceived that technical aspects of class management were more important than learner or instructor factors both in asynchronous or synchronous classes. The study identified student demand for blended English language classes and provided guidance for planning such classes based on student perceptions.
The Analogy between Technology, Bildung and Literature

휴머니즘 시대의 인간은 그 자체로 사회적 문화적 역사적 구성체로 이해되었으며, 세계를 바라보는 중심이라는 자신을 형성(Bildung)하였다. 하지만 산업혁명이라는 과학기술 사회로의 진입은 주체로서의 자기 구성(Bildung)의 의미변화를 요청했으며, 이에 따라 Bildung이라는 보편 개념은 질적 변화를 경험하게 된다. 무엇보다 과학기술 상용화와 디지털시대로의 전환에 토대를 두는 소위 포스트휴머니즘 시대는 인간과 과학기술의 주체와 대상의 경계가 불투명해질 뿐 아니라 Bildung 개념이 담지하는 보편성이라는 의미를 새롭게 재구성하고 재정의할 것을 요청하고 있다. 이러한 역사적 사회적 의미변화와 그 질적 변화 과정에서Bildung 개념이 여전히 보편적 의미를 확보할 수 있는지 또는 Bildung의 의미변형이 새로운 의미형성 가능성으로 이어질 수 있는지를 고민해보는 것은 과학기술적 포스트휴먼 시대의 인간과 인간 삶의 조건에 관한 근원적 사유와 그 사유의 필요성으로 이어진다. 이러한 맥락에서 본 논문은 Bildung과 과학기술 그리고 문학의 상관관계와 유비를 통해 휴머니즘에서 포스트휴머니즘 시대로 이어지는 역사적 변화 속 Bildung의 의미를 재조망하고자 한다. In the so-called post-human era, when science and technology are widely spread, the anthropocentric viewpoint seems to lose its validity and is replaced by a scientific and technological viewpoint. Also, in the post-human era, the social and cultural position and meaning of the language arts of literature seem to be significantly reduced. In particular, language arts seem to have given way to visual arts and auditory arts realized by digital science and technology. Above all, in the recent post-human era, the linguistic art of literature seems to be losing its meaning as an abstract and inaccessible object of empathy. The problem is that it is unclear whether the cause of this change is due to the deterioration of the language art itself or whether the post-human era has a new meaning and values of life cut off from the past. Moreover, the post-human science and technology era seems to assert the impracticality and uselessness of literature, which herald the end of the liberal humanistic ideal of Bildung. However, if the post-human era is a new era because it constitutes life scientifically and technologically, it should be clarified that this is more recent han the comparative or symmetric era. In other words, it must be clearly stated that it is a technological and current transformation of human education and life. However, in the historical context, it is easy to see that each era understands its era as the newest and different from the past. Therefore, this problem is not a break from the past due to the novelty of science and technology, but rather an issue of the age of science and technology itself and a change in the meaning and conditions of human life. In this paper, looks at the meaning of Bildung and literature in the so-called scientific and technological post-human era, the purpose of Bildung and literature in the post-human era, and the possibility of meaning formation, through the perspective of combining Bildung and literature.