Reviewerly/exHarmony huggingface dataset:
Model Garden Literation Based Ecobrick

Making literacy parks in schools is a very important means of improving the reading culture in students. The development of a green literacy park must pay attention to environmental sustainability aspects in the form of energy, air, materials and land suitability, thereby reducing carbon emissions and monitoring natural resources. Ecobricks are a solution that can be applied in schools so that plastic waste, especially soft plastic produced in schools, can be used as something useful, namely being used as a literacy park. This research method is descriptive qualitative. Collecting data was obtained through questionnaires, observation and documentation. The research was conducted at SMP Negeri Pekanbaru City. The results showed that the amount of waste production for Junior High Schools (SMP) Pekanbaru City which consists of 45 schools with a total of 30,639 students in 2020 was 456,620kg/day. The construction of an ecobrick-based literacy park that is environmentally friendly is one of the solutions in handling plastic waste in schools, by using an aqua bottle ecobrick measuring 600 ml. The results of the cylindrical compressive strength test with a height of 30 cm and a diameter of 15 cm, The compressive strength of the test object is (10.62 N / mm²) in which an ecobrick is added when compared to the test object without an ecobrick with an average value (15.05 N/mm²) if there is a difference of 4.4 N / mm², the greater the pressure strength Ecobrick is not added in the test object, but the ecobrick is added to the specimen, which can provide 600cm3 of material. While the compressive force of the test object in which there is an average ecobrick of 121.933 kN and an average of 172.466 kN of no ecobrick there is a difference of 50.533 kN which is greater in the pressure of the test object with an ecobrick in it because the test object has a larger mass when compared to the test object. to which ecobric added. When compared with the standard brick Strength Classification of SNI 15-2094-1991 bricks, the quality of the ecobrick is equivalent to the quality of the 1st level brick.
Parallel Key Generation Based on Nonlinear Feedback Shift Registers and Hyper Chaotic System

We proposed the design pseudo random number generator (PRNGs) based on hyper-chaotic system six-dimensional, and nonlinear feedback shift register (NLFSR) to create a new pseudo random sequence generator that is more random. The core of a new nonlinear feedback register is the equation of the Pythagorean Theorem as a nonlinear equation that contributes to increasing complexity. here, create a non-linear equation to generate 80 random bits each time. This equation invokes them three times separately at each 256 bits, so for each cycle it generates 256 random bits. The new pseudo-random sequence generator expands the keyspace and improves the security for resistance to attacks. Parallel computing to increase the speed of its creation will create these PRNGs for six PRNGs same time. According to the results of the testing, the proposed PRNGs is high safe, resistant against attacks, and faster because it handles every 256-bit iteration. Testing of the NIST (National Institute of Technology and Standards) is used. Many of the sequences have completed the majority of the NIST tests with excellent grades. In addition, the Correlation test and Differential Attacks Have achieved excellent results.We would like to inform you that we are limited to the number of words, but after accepting the our research, we will attach to you the proposed non-linear equation NLFSR , forms and results.
Demonstration of Generalized Multi-path Wave-particle Duality on a Quantum Nanophotonic Chip

The wave-particle duality of quantum objects has been a center concept in quantum mechanics since its birth. For the two-path or two-slit experiment, the dual nature of quantum matter has been well studied in various systems. To rule out the interpretation of quanta knowing the measurement setting it will be confronted, Wheeler proposed the famous delayed-choice gedanken experiment [1] , which is an ideal platform to test the intrinsic characters of wave-particle duality. However, all these experiments to date have been focused on the two-path case.
SISTEM INFORMASI DATA PENDUDUK DESA KERTAPATI KECAMATAN PAGAR JATI KABUPATEN BENGKULU TENGAH

Kertapati village is located in central Bengkulu with the population about 1500 people who are classified as the most dense in the district of pagar jati. The management of population data that is still manual only in the book records, the lack and completeness of the kertapati people data is very concerning, so that when the population data is quickly needed, and the invalid population data becomes a problem of delay in reporting to the next steps. Building an information system is done to fix the invalid population data and create systemized population data in kertapati village while making it easier for those who need the data of kertapati villagers. Creation of a system is set using PHP programming language (hypertext prepocessor). With this information system, computerized kertapati village population data and safe and useful data storage for both the village and related parties population data, reporting, searching and matching of population data becomes easier and faster
Social Engineering Techniques and Mitigation Mechanism

Cybersecurity is an integral part of the computer systems especially in current time where data is a very valuable asset a company or an individual can have. Cyberattackers are increasing in number and the attacks have increased both in terms in advancement and quantity. Without proper protection the individual or the company is at the risk of losing the data by the cyberattackers. Social engineering techniques are the type of cyber-attacks that does not focus on the vulnerabilities of technology but they are targeted at the susceptibility of human emotions. Social Engineering techniques depends on the gaining human trust. Generally, the weakest link in security systems are not the technology but the human element. I have chosen this field of research because I myself have been a target of numerous cyber-attacks and I wish to educate myself to protect myself from the social engineering attacks in the future and also want to develop certain methods which enable individuals or companies to protect themselves from the attacks based on social engineering techniques.
The Communicative Approach in Teaching English

Now, communicative approach has become a popular method of studies especially for a study of English as a second language. Teacher needs to design teaching way approach which can be developed students’ communicative competence.  Mainly the language classroom of English as a second language encounters with uninteresting students in learning English because they rarely practice English in classroom. Moreover, uninteresting activities were brought into the classroom without any inspiration. Therefore the writer was interested in communicative approach in teaching English. Using language activities can be used for developing the students in language’s practice and self-learning. The outcome of language competence is not only the ability of using English in communication in daily life but also the positive attitude is the results of studying English as a second language.
Crime Data Analysis Using Data Mining Techniques for Crime Detection and Prevention

Law enforcement agencies are facing crime complexities in recent decades due to paucity of hi-tech methods to handle the abundant crime data. Careful investigation of crime analysis is must. Crime hotspots are detected by various data mining techniques and tools. In this paper, various types of crime analysis are used for classifying the crime types and one of the clustering methods namely 10-fold attribute subset selection method which is used for clustering the subsets and finally crimes are detected and prevented in future. This helps law enforcers to proceed with the unsolved crimes in future.
Joseph R. Skeen Library : ST 529/529D (Research and Documentation): Articles

Guide with information and tips supporting the coursework for all sections of ST 529 Basic information about course guide, including librarian's contact info
Research Guides: MLA 9th: Reference Sources

This Research Guide lists examples of how to cite sources according to the MLA Handbook, 9th edition.
Robust Video Watermarking Algorithm using Features Detection and Discrete Cosine Transform

Digital video watermarking technology has gained global recognition as an important means of copyright enforcement as a result of the advancement of multimedia. This paper proposes a robust watermarking algorithm FAST-DCT (Features from Accelerated Segment Test - Discrete Cosine Transform). A video summary is created first. The Quick detector is then used to detect the feature regions using this summary. On the other hand, the watermark's confidentiality is improved by encrypting the watermark before embedding it in the video frames with the ChaCha20 Stream, which increases the watermark's security and power. Finally, Discrete Cosine Transform (DCT) is used to embed the secrete bits into the host region. The proposed algorithm achieves strong imperceptibility and high resistance to various attacks, according to experimental results. The embedded video has a high Peak to Signal Noise Ratio (PSNR) and is of better quality. Experimental results show that the proposed algorithm achieves good imperceptibility and high resistance against various attacks. The embedded video is of good quality with a high PSNR.
CERN (2020) [REF2021 collection]

Addressing her ongoing interest in the intersections of extremes in environment and scale, both digital and analogue, Neudecker has worked with particle physicists at CERN since 2015 to research the means by which new scientific knowledge is constructed and interpreted and how that shapes our understanding of nature and matter.This Collection comprises a multi-component output with contextualising information, evidencing four new key works: Everything Happens Once​ (2020), shown at ​Broken Symmetries​ in Tallinn, Estonia, 2020-2021; ​I Can't Remember When It Started (2020), shown virtually at Galerie Barabra Thumm, Berlin, 2020; Unusual But National Strategies (1 & 2) (2020), exhibited at ​Centre of Gravity​, Bristol, 2020; and The Eye [A.L.I.C.E. | A Large Ion Collider Experiment | v1] (2020), commissioned for ​Alice: Curiouser & Curiouser​, at the V&A, 2021 (originally due to be exhibited in June 2020, but delayed due to the ongoing Covid-19 pandemic). Contextualising information includes a 300 word statement, research timeline, and research questions.
Secure Data Hiding Techniques Using Multiple Audio Steganography

Steganography is a method of hiding a message inside another file and retrieving the secret message from the same file at the destination. Audio steganography is one of the most secure Steganographic techniques available today. The conventional method of steganography is to use a single cover audio file to embed the secret data, but this method has a few security flaws. As a result, we recommend in this paper that the secret message be sliced and stored on multiple audio cover files. The data maintain secure data transmission, making it impossible for an attacker to decrypt the secret message without knowing the encryption details.
Launching WordPress- Blogs and Domains

In today’s world, the emphasis is on to move toward the digital driven economy, businesses, and human life. This huge movement towards digitization has resulted in generation of humongous amount of digital content. Managing this digital content is a challenge in it itself. A content management system provides way to handle this data efficiently. CMS are software applications that provide us the capability for easy management and maintainability of this digital content. The number of content management systems have been developed and successfully productionized such as Word press, Joomla, Cascade Server, Wix etc. the paper provides an overview of capabilities of WordPress CMS and various functionalities it offers for digital content management.
Bentuk dan Ciri Diktis Ketidaktepatan Kata dalam Teks Eksposisi Karangan Siswa

The purpose of this study was to describe the shape and characteristics of the inaccuracy of words contained in the student's exposition text. This research method is descriptive qualitative. The data in this study are in the form of word inaccuracies in students' exposition texts. The source of data in this study is the exposition text of class x students. The data collection technique in this study used the referential method. Listening method can be used for qualitative data collection techniques using tapping techniques and note-taking techniques. The data analysis technique in this study used the intralingual equivalent method with the differential comparison technique. In this study, it is used to describe the form of diction and the dictical characteristics of effective sentences. The results of this study indicate that the form of word inaccuracy in the student's exposition text is found in 3 forms. The forms of word inaccuracy found are nouns/nouns, verbs/verbs, and adjectives/adjectives. The dictical characteristics of effective sentences in the form of word inaccuracies found are precise and accurate/appropriate dictical characteristics.
Sharing students’ photographs on social media: towards an understanding for best practice

One of the benefits of social media is the opportunity to share photographs of activities and keep friends and followers informed. University Lectures have also adopted this photo-sharing feature as they use social media for engagement. While recognising that anecdotally, the purpose of lecturers sharing images of their students is to motivate other students, showcase activities and create contents relevant for their teaching, this presentation highlights three critical implications - 1. Teaching and Learning 2. Ethics in Sharing and 3. University’s Regulations
On the Feasibility of Handling Uncertainty in SPARQL Queries in the Case of Sparse Graphs

The purpose of this paper is to explore the possibility of evaluating SPARQL queries containing probabilities using linear algebraic methods and techniques. This approach has many important advantages, such as simplicity, succinctness, elegance and greater familiarity to a wide base of practitioners. On the other hand, there are questions regarding its efficiency in view of the huge datasets of the current era. In this paper, we advocate that in the case of sparse RDF graphs we can resort to sparse matrices for computing complicated probabilistic queries. It is demonstrated that via probabilistic sparse matrices one can evaluate specific types of queries involving transitive predicates, which are of great practical importance. The algorithm and data structures that are currently available for handling sparse matrices promise improved performance in pragmatic situations, which constitutes this line of approach particularly promising.
Evolution of IOT Data Management System

The Internet of Things (IOT) presents Database Management Systems (DBMS) with a new problem. In everyday life, a huge number of sensors are used for the cloud computing. These devices generate a large amount of data streams, which must be managed by a suitable database management system. The DBMS poses a severe problem in determining how to process and store a large variety of data data in the context of a IOT. Relational DBMSs and Non-relational DBMSs are the two basic types of database management systems. This study seeks to provide a comprehensive comparison of two major open-source database management systems.: Mysql is a database management management system, while Mongodb is a non-relational database management system. In Cloud technology, the activity of the enzyme database systems is evaluated by comparing the insertion and retrieval of enormous amounts of data.
Sentiment Analysis of Kannada Political Tweets using Support Vector Machines

Sentiment analysis is a process of computationally identifying and categorizing opinions from a piece of text and determine whether the writer’s attitude towards a particular topic or the product is positive, negative or neutral. Understanding the sentiments or emotions has become important in the current world as it can be proved as the game-changer in improving the user experience over a wide variety of applications. Looking from a business point of view, many industries rely completely on the opinions of the users for their product improvisations. This analysis when manually being done becomes tedious and time consuming. So, by applying Machine Learning algorithms, this can be done with ease and with incredibly good accuracy. Much of the work has been done for the opinions or reviews which is in English language. India is predominantly considered as a country with wide variety of regional languages like Kannada, Telugu, Tamil etc. Understanding the sentiments of languages apart from English is greatly beneficial in reaching the local people. In this article, the texts of Kannada Tweets collected from various political parties and politicians are analyzed to classify the tweets as positive or negative or neutral interpretations. These interpretations helps a political party or politicians to improve the           worthiness. Support vector machines which is a supervised algorithm has been used to work on a set of hyper planes resulting in a better classification
SYSTEM DESIGN AND PROCESS FOR DATA TRANSMISSION THROUGH MULTIPLEX TRANSMITTER CHANNEL, MODULES AND APPLICATION

There is often a need to realize the design of a system that will be stable in data transmission. However, the process of modeling and structuring such a system is a process that initially requires data collection. Then, there is a need to recognize the working environment, as well as to know the problems that may appear in the broadcast. In this paper, there are provided and presented some appropriate models for data transmission based on the type of data (textual data, audio, video, etc.) in accordance with their frequency. In order to realize this system, initially several initial processes, calculations for possible obstacles, calculating the signal-noise ratio (S/N) are realized. The signal-noise ratio is explored based on some probabilistic calculations and so on. Then, in the work, the design of the system is conducted. To design this system, some advanced techniques are provided, which provide the possibility of managing and interconnecting the elements between themselves, through a multiplex system, and so on. All these processes are carried out on the basis of calculated, verified and validated values, to be adequate in the process of data transmission through a single channel, according to a certain bandwidth. Here is a characteristic is, that during this process can also be determined the data packing, the capacity of the transmitter channel; the speed of data transmission, etc. Designing this system is the ultimate stage of the completion of this project. Designing the multiplex system requires elements and other devices that have the task to create the respective module. Also, an integral part of this interconnection and data transmitter system are clock generators; to create relevant frequencies for all elements of the system, from particular elements but integrated into the general system. N
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation.

We motivate and propose a suite of simple but effective improvements for concept-to-text generation called SAPPHIRE: Set Augmentation and Post-hoc PHrase Infilling and REcombination. We demonstrate their effectiveness on generative commonsense reasoning, a.k.a. the CommonGen task, through experiments using both BART and T5 models. Through extensive automatic and human evaluation, we show that SAPPHIRE noticeably improves model performance. An in-depth qualitative analysis illustrates that SAPPHIRE effectively addresses many issues of the baseline model generations, including lack of commonsense, insufficient specificity, and poor fluency.
An Analysis of Different Image Formats for Steganography

To avoid detection of hidden data, a technique named steganography is used. Transfer of confidential data secretly is the aim of steganography. Discussion of different image formats (like BMP, JPEG, PNG Etc.) for the steganography is presented in this paper. Technical properties, application and limitation of steganography will also be discussed here.
Automatic detection of new phishing domains using machine learning

Phishing is an online attack that tries to deceive its victims into revealing sensitive information, such as credentials or credit card details. The user is usually attracted by email (whaling, spear phishing, clone phishing) to malicious webpages that mimic the content of known legitimate websites. Over the years, phishing detection has become very relevant, mostly because of the fast-paced nature of the attack and the ever-growing scale of phishing campaigns, with the majority of phishing websites being alive for less than 24 hours and thousands of new phishing domains registered every day. This trend underlines the importance of lowering the window of vulnerability that occurs from the launch online to the detection of the malicious nature of the website. This thesis work was carried out at the IT company Ermes Cyber Security to tackle this issue, attempting to identify phishing campaigns in their early phases, by starting the detection process from newly registered public-key certificates. For each domain collected, extra data is gathered, such as DNS records, the WHOIS record, and various details about the domain webpages. Using the features extracted from this data, two different machine learning models were chosen to predict the legitimacy of the domains: a random forest classifier and an SVM classifier. Both these models have been trained using a set of features extracted from a manually selected ground truth dataset of over 500 legitimate domains and over 430 phishing domains. After various steps to improve the models, such as feature selection, hyperparameters tuning, and PCA, the results obtained showed promise. The random forest classifier manages to get an accuracy of 91,4% and a precision of 94.9%, while the support vector machine classifier obtains similar results of accuracy of 92,5% and precision of 95.4%. The models obtained have then been run in the wild, to classify over 240000 domains collected in several months, for a total of over 41.6 GB of raw data analyzed. The resulting labeled domains were then sampled and manually checked to verify the correct classification and overall trustworthiness of the classifiers produced in this thesis work.
Towards the Software Evolution Recovery at the Level of Software Architecture

Abstract In the process of software evolution, a lot of evolution history information will be stored in software repository. Because some open source repositories (such as GitHub) only record the version of every source file, it is difficult for people to comprehend and manage the evolution of software component and software architecture. In the paper, we propose the concept of software evolutionary binary tree to present the evolution history of software architecture and its components, propose a method to recover them by software architecture recovery technology as well. The experimental results of four open source software (Cassandra, Hbase, Hive and Openjpa) demonstrate that the method is effective.