Reviewerly/exHarmony huggingface dataset:
Heterogeneous bad weather image enhancement using colour correction

A clear and bright atmosphere is much needed when humans use imaging equipment outside. Bad weather conditions due to haze and fog cause the resulting image to fade and blur. This is because the colour in the image has undergone a condition known as colour fading. The method currently used can be divided into 2 main methods, the first is the use of multiple images and the second is the use of a single image. However, the first method requires more than one image to be taken which causes the image improvement process to increase. For the second method, only one image is required. However, the challenge in this method is the determination of the thin layer on the image to determine the element of interference that causes the image to fade and blur. Various methods are used for this single image method. However, there is still an error that arises which is a change in the main structure of the image namely colour and tone. The same goes for the halo effect that arises as a result of this improvement process. In this study, the use of D-Hazy, FRIDA, and FRIDA2 datasets. This study uses the method of interweaving the colour thinning to solve the problem of image interference that causes fading and blurring. This method maintains the main structure of the image and prevents the occurrence of halo effects by evaluating using the Structural Similarity Index (SSI) method. The degree of image recovery was assessed based on enhanced colour series improvement using the Colourfulness Index method. The performance analysis shows that the proposed method can be used to enhance the heterogenous bad weather image.
Leukemia Cancer Detection Using Various Deep Learning Algorithms

Leukemia is a type of blood cancer. Leukemia is cancer that begins in the blood cells. The lymphocytes and other blood cells are created in the bone marrow. When a person has leukemia the bone marrow does not function properly. Leukemia cells are produced by the bone marrow. Leukemia cells are mainly referred to as rupture. These naive cancer cells block the cells that create the bone marrow. In this paper, various approaches to the classification automatic detection of leukemia are described. The experiment was successfully implemented in Kaggle. Deep Learning algorithms were largely used in the treatment of Leukemia for the classification detection of its presence in a patient. The paper describes Convolutional Neural Networks (CNN) and Visual Geometry Group-16(VGG-16) algorithms that are used to categorize leukemia into its sub-types and presents a comprehensive study of these algorithms.
The Teaching Blending of College Chinese and Chinese Traditional Culture

In the era of advocating and carrying forward Chinese traditional culture, college Chinese teaching plays an important role in carrying forward Chinese traditional culture.Therefore, teachers should innovate the teaching mode of college Chinese and integrate the inheritance of traditional culture into teaching, which can reasonably enhance college students' recognition of Chinese traditional culture and better promote and revitalize Chinese traditional culture.Based on this, this paper discusses the requirements of carrying forward Chinese traditional culture today, integrates it into college Chinese teaching classroom activities, and analyzes the rationality of college Chinese teaching blending Chinese traditional culture, so as to clearly puts forward relevant practical strategy proposals, hoping to make Chinese traditional culture develop better.
Updating a SharePoint List Using Power Apps

Power Apps is a powerful forms tool in Microsoft 365. It is not a direct replacement of InfoPath (which I covered in the previous edition of this book but is now largely obsolete) as it does things differently (and often better). I particularly like that Power Apps can be created completely in the browser, are optimized for mobile devices, can connect to a multitude of data sources, and have a familiar Visual Basic-like syntax.
THE MAIN IDEA AS AN ELEMENT OF THE CULTURAL-PHILOSOPHICAL MODEL OF A LITERARY AND ARTISTIC WORK: SOME METHODOLOGICAL QUESTIONS

The author of this article, as a research method, develops the general theoretical foundations of the cultural-philosophical model of a literary and artistic work, which can be used in the study of the creative heritage of various writers. The structural elements of the cultural-philosophical model of a literary and artistic work, along with the main idea, include: the sum of humanitarian studies of a literary and artistic work, the concept sphere of the corresponding literary and artistic work, the biography of the writer, as well as the genre. This article aims to describe some methodological issues related to the constitution of the main idea of a literary and artistic work as an element of a cultural-philosophical model.&#x0D; The basis of the research is formed by general scientific methods and interdisciplinary methods of scientific knowledge. In the course of working on the article, the author turned to cultural and philosophical analysis, as well as content analysis of scientific literature.&#x0D; Based on the results of the study, the author comes to the conclusion that one of the conditions for the productivity and completeness of the cultural-philosophical study of a literary and artistic work is the search for its main idea, which reflects the features and priorities of the author’s philosophical thinking. The results of the study can be used not only in research of philosophical and cultural content, but also in works of a wide humanitarian profile, as well as in the educational process.
Exploration and Practice of Matlab Course in Undergraduate Student of Science and Technology

In order to improve the teaching quality of MATLAB course, this paper expounds the necessity for teaching MATLAB course in undergrade students of science and technology, and specially analyses the problems faced by the junior grade students when they are studying.Through the exploration and practice of MATALAB course teaching, this paper probes into the structure of course content, teaching content and teaching mode, and points out the concrete measures to teach MATLAB course in the junior students ofundergraduate. Necessity of MATLAB Course in Undergraduate StudentsMATLAB is a large-scale comprehensive software for scientific and engineering computing that integrates numerical calculation, symbolic calculation and visualization developed by MathWorks of the United States.It has a friendly working platform and programming environment, a simple and easy to use programming language, a strong scientific computing data processing capability, a color graphics processing function, a widely used module collection toolbox, and a practical program interface and platform, which are widely used in all walks of life.Because MATLAB is suitable for multi-subject and multi-work platform, it has the characteristics of powerful function, friendly interface, natural language and strong openness, it is recognized as accurate and reliable scientific standard software in international academic circle [1,2,3].In the early 1990s, MATLAB became the preferred software for science majors in American, British, Canadian and Australian universities.In the design research unit and industrial department, MATLAB is considered as the first choice software tool for efficient research and development.Such as National Instruments'signal measurement and analysis software LABview, Cadence's signal and communication analysis and design software SPW, etc., are directly built on the MATLAB or supported by MATLAB[4].In American and European universities, advanced courses such as linear algebra, numerical analysis, mathematical statistics, optimization methods, digital signal processing, electro-technical and electronic technology, modelling and dynamic system simulation all take MATLAB as a basic teaching content.At present, among the non-computer majors in science and engineering colleges in developed countries, the most popular programming languages are not C, BASIC, FORTRAN, but MATLAB.In our country, only master, doctor and some scientific researchers use MATLAB language at present, but the students of this specialty use less, most students have not used MATLAB [5].Therefore, it is of great significance and function to popularize and apply MATLAB software to college students of science and technology in our
The Implementation of Internet-Based Computer Network at SMP Negeri 21 Central Bengkulu

This study aims to design and build a computer network connection at SMP Negeri 21 Central Bengkulu. This study used an experimental research method. In this study, was carried out the performance of a proxy running on the system. From the results of the analysis, conclusions will be obtained regarding the benefits and more detailed functions of Mikrotik and SMB servers in the data or file sharing function. The results of this study show that the internet network has been running in accordance with what the writer hopes and can access the internet, clients from this server can also access the internet. As well as sending files using SMB server that has been determined by the writer. The SMB server can be used to send files that are placed on the Mikrotik router, so that the files can be accessed by connected to clients. Therefore in this study the writer only built LAN network using Mikrotik and sharing data with SMB Servers only.
DIFERENCIJACIJA PREVODNIH EKVIVALENATA U BILINGVALNIM REČNICIMA NA PRIMERU LEKSEME STRANAC

The subject of this paper is the analysis of the lexeme stranac and its equivalents in Italian. Traditional bilingual dictionaries have limited space for the disambiguation of equivalents that are sporadically present in the illustrative examples, insufficient for a semantic and func- tional generalization that would guide the user (Marello 1989). We will start off from the bilin- gual dictionaries and the three equivalents of the Serbian word stranac: straniero, estraneo and forestiero in order to try to define, by using parallel and monolingual corpora, the field of their use as an indispensable indication for the correct consultation of the dictionaries. The aim is to examine the effectiveness of the corpus-based methodology in lexicography in the disam- biguation of different equivalents and at the same time confirm the importance of the context for the definition of polysemous words.
Factors Causing Hesitation and Shyness as Barriers to L2 Learners' Speaking Skill

The aim of this research was to discover ‘the factors causing hesitation and shyness as barriers for L2 learners’ speaking skill and to find out the influence of hesitation and shyness as barriers for ESL learners’ speaking skill’. This study employed a questionnaire as a data collection tool. Research data were analyzed using Statistical Package for Social Sciences (SPSS). The findings of the study conclude that majority of the responses from the students fall from high to medium degree of mean values, which means, learners have the inclination to say that internal factors i.e. hesitation and shyness work as barriers for L2 learners' speaking skills. It is crystal clear from the findings that as hesitation and shyness increase the speaking skill of the students decreases. Likewise, as the hesitation and shyness decrease the speaking skill of the students increases.
Keeping Count with Metrics

Deployed, user-facing applications need to be monitored to ensure they are delivering as expected. Cloud-native applications deployed to complex cloud hosting environments need to be monitored even more because any unexpected deviation from preset expectations could mean significant extra hosting bills.
Abusive Bangla Comment Detection from Social Media Using Machine Learning Approach

Abusive text may be defined as the text that is extremely rude and insulting. Nowadays, social media has become an indispensable part of people around the world. It has provided people a platform where people can express their feelings about different products, places, or persons. Sometimes, it happens that people use different kinds of abusive comments for harassing, blackmailing, or bullying people. Detection of abusive comment is therefore an important issue. But detecting abusive words from millions of comments is a difficult task. So, an automated approach can solve the problem to a great extent. Most of the previous works on abusive comments detection have been done on English text. Since the number of Bengali users using these online social platforms are increasing day by day so the detection of abusive Bangla comments is also important. In our paper, we have done a comprehensive study on different machine learning algorithms, namely logistic regression (LR), support vector machine (SVM), stochastic gradient descendent (SGD) with modified Huber, multinomial Naïve Bayes (MNB), AdaBoost, gradient boosting (GB), bagging classifier (BC), to evaluate the best model for abusive comment detection from Bangla text. Since, our dataset was highly imbalanced, and we have used SMOTE to generate synthetic data in an attempt to oversample the abusive class and balance the dataset. After performing a series of preprocessing and training of our model with different classifiers, SVM and SGD with modified Huber generate the best performance with high F-score and accuracy.
An Effective Approach for Forgery Detection of Fake COVID-19 Report

With advancements in technology and image processing software, digital image forgery has become increasingly simple. However, because digital images, such as COVID-19 reports, are a common source of information, the authenticity of these digital reports has become a big concern. In recent days, it has been discovered that an increasing number of academics have begun to focus on the issue of digital report manipulation. A new deep learning-based digital picture forgery detection solution has been acquired. The mechanism is intended to ensure that the COVID-19 report on health care has not been amended or tampered with.
How to Serve Teaching and Scientific Research in Higher Vocational College Libraries in the New Era

Library is a treasure house of knowledge and an important guarantee for the smooth development of teaching and scientific research in a higher vocational college.The specific management of the library itself will directly affect the teaching quality and scientific research level of teachers, so it must be paid attention to by every higher vocational college.Based on this situation, this paper will discuss how to make the library better serve the teaching and scientific research in higher vocational colleges, and explore the relevant optimization strategies from the aspects of library management, personnel training and so on.
Methodological aspects of school education improvement in Ukraine (the second half of the XIX – early XX centuries)

The process of methodological search in the field of school education is continuous and is based on the analysis of historical experience and modern requirements of society to the level of school education. Under such conditions, a retrospective study of methodological aspects of school education in Ukraine becomes especially significant for pedagogical science. The article summarizes the methodological approaches to teaching the humanities and sciences in secondary schools of Ukraine in the second half of the XIX – early XX centuries. The analysis of positive and negative consequences of using different methodological approaches is carried out. The aim of the article is to analyse and systematize the publications of scholars and practicing teachers of the period under study on the methods of teaching school subjects and calls for the use of positive foreign experience of that time. The research methodology involved the use of comparative analysis, systematization and theoretical generalization, bibliographic search. Instructions, manuals for the schedule of educational material, absolute control over each methodological step of the teacher, the number and topic of tasks as well as teaching time to present the material slowed down the progress in teaching methods development for the humanities and sciences in secondary schools throughout Ukraine. At the same time, teachers made attempts to make learning easier and more interesting, tried to introduce a humorous component into the learning process, had the opportunity to share methodological recommendations and learn about foreign methods in the pages of pedagogical journals. In the second half of the XIX – early XX centuries, the following tendencies were observed in the methodology of teaching school subjects in Ukraine: presentation of educational material from simpler to more complex, individual approach to students, use of associations between previously studied material and the new one, the use of visual aids in primary school.
Requirements Patterns for Complex Embedded Systems

With the development of networked embedded technology, the requirements of embedded systems are becoming more and more complex. This increases the difficulty of requirements analysis. Requirements patterns are a means for the comprehension and analysis of the requirements problem. In this paper, we propose seven functional requirements patterns for complex embedded systems on the basis of analyzing the characteristics of modern embedded systems. The main feature is explicitly distinguishing the controller, the system devices (controlled by the controller) and the external entities (monitored by the controller). In addition to the requirements problem description, we also provide observable system behavior description, I∼O logic and the execution mechanism for each pattern. Finally, we apply the patterns to a solar search subsystem of aerospace satellites, and all the 20 requirements can be matched against one of the patterns. This validates the usability of our patterns.
EFFORTS TO IMPROVE POETRY WRITING SKILLS BY USING CTL METHOD OF GRADE VII STUDENTS OF SEMESTER II SMPN 2 SENDANGAGUNG

The essence of Indonesian language learning is learning to communicate and literature to appreciate people. One of the skills that need to be mastered by junior high school students is to write poems related to the beauty of nature. The purpose of this research is to improve the ability of students in Writing Poetry of Natural Beauty with the approach of CTL (Contextual Teaching and Learning) SMP Negeri 2 Sendangagung Sendangagung Subdistrict. This research method uses Class Action Research (PTK) which is researching about students' teaching and learning activities in Writing Poetry of Natural Beauty with CTL (Contextual Teaching and Learning) approach. The population in this study is all students of grade VII Semester II SMP Negeri 2 Sendangagung Sendangagung Subdistrict, with the number of samples taken as many as 32 students. Analyze the data that the author performs by calculating the level of completion per indicator and comparing the results of each cycle performed. Based on the analysis of research data that the author can conclude that there is an increase in the ability of grade VII students of Semester VII SMP Negeri 2 Sendangagung Sendangagung Subdistrict in writing poems related to natural beauty. The average score of the first test was 67.4 with a percentage of completion reaching 60.6%. The average score of the second test was 68.35 with a completion percentage of 87.8%. The average score of the third test was 71.72 with the number of students achieving completion as many as 33 students and the percentage of completion reached 100%. This indicates an increase in students' ability to write poetry about the beauty of nature.
Platform-Specific Code and XAML

Even with all the abstractions in Uno Platform, you will still need to write platform-specific code or XAML. When interacting with native APIs, you will always need to write code for those APIs. In the user interface, there may be spacing issues on controls not lining up just right, and you’ll need to add platform-specific XAML. In this chapter we are going to cover the various techniques of adding platform-specific code and XAML for Uno Platform.
Accuracy Enhancement of Automatic Modulation Recognition Using Deep Learning Paradigm

Communication systems consist of advanced system performance that enables signal reception at the destination. In such a system, the difficult problem is to restore the original transmission. In this study, Automatic Modulation Recognition (AMR) is used to improve the precision of modulation recognition. This method is essential for advanced communication systems that require a minimal delay, such as Realtime broadcasting. Using paradigms of deep learning, the modulation approach of a received signal is identified. Feedforward neural network with Particle Swarm Optimization (PSO) integration is proposed for this purpose. The suggested model exhibits optimal recognition accuracy of 97.3 percent, as reported.
Domain Adaptive Detector via Variational Inference

Recent deep learning-based models work enough for object detection. However, there are still challenging tasks aiming to address domain shift problem caused when a model is applied to target data that have different domains from source data. In this paper, we are concerned with a scenario in domain generalization to aim to perform well on unseen target domains. We propose a novel single domain generalization method using variational inference to improve cross-domain robustness for object detection. We build a model that has latent features following a prior distribution to achieve feature alignment. Specifically, the latent features are guided to follow Gaussian distribution for arbitrary inputs, hence the model can be domain-invariant. We utilize Faster R-CNN as a base detector, and our proposed approach is evaluated on Cityscapes, KITTI, SIM10k datasets. The results show that our method can provides a general solution for cross-domain robustness, only using source data in tackling single domain generalization.
Intelligent detection method of rope shape abnormality of cold source interception network based on yolov5 and twin network

The safety of water intakes is very important to nuclear power plants. The use of interception nets to intercept marine life is related to the safety of water intakes. This method is based on deep learning technology to detect the abnormal state of the cold source interception network. Judge whether the interception net is abnormal by comparing the historical morphology of the interception net rope, and send an abnormal warning message when an abnormality occurs to remind the management personnel to deal with and repair it in time. This method is based on independent research and development of various deep learning networks such as yolov5 and twin networks. The test results show that the recognition recall rate for abnormal changes in the shape of the interception network is more than 95%.
Simulation of Front-Running Attacks and Privacy Mitigations in Ethereum Blockchain

Transactions sent to a public blockchain network, such as Ethereum, are initially held in the mempool before they are accepted in a block.While waiting in the mempool, these 'in-flight' transactions are publicly visible and vulnerable to front-running attacks, such that malicious parties use information in the transaction for their own gain and at a direct cost to the transaction owner.In this work, we introduce open-source simulation software for identifying and mitigating these attacks on Ethereum blockchains.Designed for education and research, the software introduces simple smart contracts that elaborate front-running vulnerabilities such as displacement attacks, sandwich attacks, and priority gas auctions.Users can run these attacks in a safe environment, monitor the detailed mechanics of attacks, and mitigate attacks using the MEV-geth protocol for in-flight transaction privacy.