Reviewerly/exHarmony huggingface dataset:
Analysis of Secure Locking Techniques on Smart Phones

Nowadays, every individual depends upon technology for storing and accessing their sensitive and important data. Therefore, security of such kind of data is mandatory and it could be possible only to use security applications and locks on smart devices like screen locks on mobile phone, laptop and desktop computer. This is a comparative study where various kinds of the home screen security locks are discussed such as finger detection lock, pattern base lock, security pin, voice recognition and face detection lock. In this paper a primary data are taken through a small public survey via Google form and on the basis on their responses Google report is generated that shows the security lock are chosen by majority of people and also provide the reason to choose that particular lock. The main motive behind this research is to spread awareness on security in the society for protecting important data.
BRF: Network Traffic Analysis based on Bagging Ensemble with Random Forest Classifier

The fifth-generation (5G) network provides support for a wide variety of systems, including applications that demand the highest level of security as well as dependable communication. Because of recent advancements in smart devices, we are currently experiencing an explosion in the generation of data as well as a heterogeneity that necessitates the development of new network solutions for improved traffic analysis and comprehension. In order to automatically manage the massive amounts of data, these solutions need to be both intelligent and scalable. It is now feasible and easy to deploy machine learning (ML) to solve complex problems, and its effectiveness has been validated in a number of different domains. This is due to the progress that has been made in high-performance computing. It is anticipated that the deployment of 5G wireless communication systems will start in the year 2020. The traffic management for 5G networks will present significant technical challenges due to the introduction of new use cases, new technologies, and new network architectures. In this paper, we have concentrated on analyzing network data traffic for 5G Network using an ensemble method known as Bagging ensemble with Random Forest. Bootstrap sampling is utilized in the standard ensemble method known as “bagging.” The random forest technique is an improvement on the bagging method that can result in better variable selection. First, we will go over the concept of bagging, and then we will go over the enhancement that brought about random forest. The random forest algorithm is objective because it consists of multiple trees, each of which is trained on a different subset of the data. When you have both categorical and numerical features to work with, the random forest algorithm performs particularly well. On the basis of the test data, the classification accuracy is an average of 96 percent, significantly outperforming other methods.
Research on the Application of Blockchain Smart Contract in Software Supply Chain Management

With the development of the information technology industry and the expansion of software development requirements, the scale and complexity of software are increasing, which makes the software development process turn into a software supply chain with superior or subordinate relationships. However, due to the inherent fragility of the software supply chain and the uneven quality of third-party open-source software, accidents occur frequently, and the security of the software supply chain has received extensive attention. We first figure out the security risks faced by the software supply chain and then innovatively proposes a software supply chain management system based on blockchain. To the best of our knowledge, this is the first blockchain-based software supply chain management system. The transfer processes of all third-party components or software products in the system are permanently recorded in the distributed ledger through smart contracts, which become the basis when handling and tracking software supply chain security incidents.
A Dataset for Information Extraction from News Web Pages

In this paper we propose a new dataset for information extraction from news web pages. Accurate collection of news articles is necessary to build systems that aggregate and analyze data from a large number of news sources. However, existing news page datasets are designed for the problem of article content extraction and do not consider other metadata such as dates or authors, while modern generic approaches for structured web data extraction are evaluated on other domains, mostly e-commerce products websites. Our dataset contains 724 web pages from 114 Russian news websites. On each page we manually annotated title, text, publication date, tags and other article attributes. We describe data collection and annotation process and demonstrate evaluation results for open source tools and neural network based approaches. The dataset is publicly available on GitHub.
Research on A Three-Dimensional Attention Module

Most of the current attention algorithms focus on one-dimensional channel attention or two-dimensional positional attention, and the processed images are three-dimensional, so these attention modules often cannot focus on all the areas that need attention, resulting in some key information missing. The three-dimensional attention module is designed in this paper. it can obtain a three-dimensional image attention weight matrix by combining one-dimensional channel attention and two-dimensional position attention module, and can obtain a new image with attention allocation after calculation. this paper uses deep learning technology, combines the channel attention module and the position attention module, and designs a three-dimensional attention module. The three-dimensional attention module has good results in a variety of visual tasks. Compared with SENet, in Cifar100 dataset, ResNet50 as the main network added attention has a 1.12% improvement. On the PKU VehicleID dataset, it has an average 2% improvement over SENet.
Validasi Media Pembelajaran Menulis Cerpen Berbasis Web Kultural

This study aims to describe the validity of learning media to write short stories. The research method used is descriptive qualitative. The results of this study indicate that the learning media developed are feasible and effective for use in the learning process. The feasibility is seen from the assessment of material, media, and media users' responses with a mean score of 81.25% and in the "good" category so that the higher the average score obtained, the better the validity of the product. In conclusion, learning media that are made specifically for writing short story materials based on cultural web are categorized as good and can be used thoroughly during short story writing learning.&#x0D; Keywords: Short stories, Web, Validation
The Quality of Newly Local Content Based Instructional Reading Materials for Senior High School Students

This study aimed to analyze the quality of advanced local content-based instructional reading material. It was ten descriptive texts and a reading comprehension test with the topic focused on Bangka Island tourism places. The developed product was specially constructed by considering the reading level of senior high school students in Pangkalpinang, Indonesia, which is identified at level four. The quality of the product reflects on its effectiveness and criterion-related validity. The point is determined from students' scores on the reading comprehension test administered after they have been taught using the developed product in 6 meeting sessions. The criterion-related validity of developed reading comprehension was recognized by measuring the correlation between students' scores on progressive reading comprehension tests and their scores on standardized reading level tests. Based on the result, the developed product can be considered adequate because 35 students (85.36%) out of 41 students in reading comprehension test accomplished the minimum mastery criterion, which was 70. The product was also considered good in terms of its criterion-related validity because the correlation coefficient was 0.618. Since findings show that the developed local content-based instructional reading materials are effective and valid, it can conclude that the developed product has good quality when used as instructional reading materials for senior high school students.&#x0D; Keywords: Instructional Reading Materials, Local Content, Senior High School Students
TGT Learning Model to Increase the Reading Ability in MA Kanjeng Sepuh Sidayu Gresik

This research aims to increase student’s reading ability in English through question card media. The research was conducted for the XI grades at MA Kanjeng Sepuh Sidayu Gresik. The focus was describing the TGT model's implementation to increase the English reading ability in explanation text material. This research used the Classroom Action Research (CAR) method. It was conducted in two cycles, in which each process consists of planning, acting, observing, and reflecting. This study was carried out in January-March 2020. The data were collected by holding the test, monitoring, documenting, and distributing the questionnaire. The research results that the use of the TGT model in reading ability has been able to improve student’s skills. The students enjoyed and got enthusiastic.&#x0D; Keywords: Increase, Reading Ability, Team Games Tournament (TGT)
Student's Mistakes Awareness in Process of Negotiation of Meaning Based on Student's Level Proficiency Level

This study aims to know students making mistakes during the negotiation process based on their level of proficiency. This study was conducted at one of a university in Surabaya. The case study is used to know the differences of student’s mistake awareness in different level proficiencies. The instruments of data collection were observation, audiovisual recording and interview. The source of data was student’s utterances. This study showed that every criterion has different mistakes that students made during the process of negotiation of meaning. The addition of student’s level proficiency influenced their mistakes awareness in process negotiation of meaning.&#x0D; Keyword: Case Study, Level of Proficiency, Mistake, Negotiation of Meaning
The Students’ Ability on Identifying Adverbs in Writing Descriptive Text

This study aims to determine the extent to which students' ability to apply adverbs to stories using descriptive text as the basis for learning English at SMA Puteri Sion Medan. The method used in this research is the descriptive qualitative method. Researchers made observations at school, then gave tests and interviews to students as data collection instruments needed in this study. The results of research that researchers have obtained show that most students can only understand adverbs of time and place, while other adverbs are still rarely used. In conclusion, the ability of Puteri Sion Medan high school students to write descriptive text using the adverb type is in a good category.&#x0D; Keywords: Adverbs, Descriptive Text, Identifying, Writing
Polyphonism of Narrative in Documentary Cine-Text (Exemplified by the Poeta Maximus Film)

Narrative in the film text is considered as a story on interconnected events occurring within specific space-time frames involving the author, narrator and characters. The intermedial nature of documentary filmmaking complicates its analysis in the coordinates of any research paradigms. However, polyphonism as the means of creating an integral idea on a cultural product should be singled out among the universal categories. The specific character of the polyphonic narration in the biographical portrait film consists in the actualization of the plot-creating motif of memory, in particular, the creation of a common memory on the hero’s life. Compositional and plot schematicity is actually the pragmatic aspect of using a polyphonic narrative. It is convenient technologically for the authors of films, especially in cyclical documentary TV projects, to adhere to the developed narrative scheme of the screen story. This process of production/consumption of media products belongs to the clichéd forms of communication. The use of polyphony has become a part of the format for some documentary cycles and their regular viewers habitually read such an audiovisual polyphonic narrative. This makes it possible to be adjusted easily to the perception of a stereoscopic picture of events, a dimensional presentation of the story of the hero of a biographical or historical documentary. The authoress’s vision of the realization of the polyphonism of the film narrative in the documentary Poeta Maximus (2008) from the series Game of Fate is submitted in the article. It is concluded that there is a certain plot-compositional scheme of organization of audiovisual polyphonic narrative in the serial. Transposition (transition from the direct speech of the presenter in the picture area to off-screen commenting), imposition (simultaneous use of the chronicle of the epoch with off-screen reading of an excerpt from the artistic text), combination (simultaneous use of photographs and video fragments on the screen) are fixed among the specific figures of the screen narration in the analyzed documentary. The event analysis of the Poeta Maximus film (2008) has made it possible to draw a conclusion about the significant event saturation and melodramatic motifs of the film.
Energy Consumption of Protected Cryptographic Hardware Cores

The rapid deployment of the Internet of Things (IoT) brought some interesting topics into the spotlight, one of which is low-power design. IoT devices are usually deployed in environments where access to an electricity network is not feasible and therefore have to be supplied by a battery. Despite the limited energy budget in this setting, many relevant applications require long device runtimes. Additionally, in order to establish secure connections to other IoT devices, cryptographic primitives are required to safely transmit data. Since the devices are physically accessible, enabling adversaries to mount all sorts of physical attacks, physically secure implementations are inevitable. In this study, we evaluate the energy consumption of cryptographic primitives on a custom 65 nm ASIC with different design architectures ranging from unrolled to serialized implementation. In each design architecture, we compare the consumed energy of different crypto cores. We also examine the energy consumption of different masking schemes up to third-order secure realizations of various block ciphers. Further, in our practical investigations, we explore the energy consumption overhead of countermeasures against fault-injection attacks under different adversary models providing the first practical results on real silicon for protected implementations.
Disrupting Data Cartels by Editing Wikipedia

Discourse in the digital public square is driven by legal memoranda, motions, briefs, contracts, legislation, testimony, and judicial opinions. And as lawyers are taught from their first day of law school, the strength of these genres of legal communication is built on authority. But finding that authority often depends on a duopoly of for-profit legal research resources: Westlaw and Lexis. Although contemporary legal practice relies on these databases, they are far from ethically neutral. Not only are these “data cartels” expensive—creating significant access to justice challenges—they also are controlled by parent companies that profit by providing information to Immigration and Customs Enforcement that is used to surveil, arrest, and deport immigrants, creating a sense of ethical unease in the colloquial sense. One way to make legal research (and by extension, legal practice) more publicly and ethically accessible is to find ways to increase the availability of alternative and supplemental options to research authority. That said, the challenge is that there are not enough free, public alternatives. Wikipedia has the power to disrupt these data cartels and increase public access to legal information. The non-profit, publicly-funded encyclopedia that anyone can edit is already the silent first stop for many legal researchers including judges, lawyers, and the public. With expert editing by law students and junior lawyers Wikipedia could become much more than a first step. This Essay builds on the scholarly literature and multiple years of classroom experience to suggest that law students are particularly well-positioned to challenge the singular reliance on data cartels by reimagining Wikipedia’s place in law and legal education. Further, teaching law students how to use and maintain Wikipedia sidesteps colloquial ethical issues raised by data cartels and produces concrete benefits for students: editing creates substantive opportunities to investigate different genres of legal writing, allows integration of students’ legal research and writing skills into practice, and instills ethical service obligations and provides professional identity formation opportunities during students’ formative years. With proper training, law students can grow as lawyers and legal writers while also making significant and meaningful contributions to the accessibility of legal knowledge during law school and beyond by creating and editing Wikipedia articles that are free, accurate, and ethical sources of that knowledge.
Applying Project Based Flip Learning Strategy to Improve Students' Reading Comprehension at The Eleventh Social 4 Grades of SMAN 9 Musi Rawas

One of fundamental language skills that become important ability in academic and social life is reading. One of the elements that can determine whether the students learn English successfully or unsuccessfully comes from the teachers or educators themselves. The teachers decide which approaches, strategies, methods, and techniques will be used to create a classroom environment that is conducive to learning. This creates an environment where students can learn effectively. The research is being done on how to enhance students' reading abilities using project based flip learning strategy. The findings of research on analyzing the applying of Project Based Flip Learning Strategy, the students responded agree for the statements provided in the questionnaire presented. It can be a proven of the assumption of the research that the Project Based Learning Strategy will improve the students’ reading comprehension skill. So, the researcher can conclude that using Project Based Flip Learning Strategy can enhance students' reading understanding skills In Material for reading explanation texts in class eleven social sciences 4 SMAN 9 Musi Rawas.&#x0D; Keywords: Project based Flipped Learning Strategy, Reading Comprehension
The Correlation between Students’ Interest in Speaking Materials and Debate Speaking Competence and Achievement at Muhammadiyah University of Bengkulu

The objectives of this research are to investigate the correlation between students’ interest in speaking materials and debate speaking competence then investigate the correlation between students’ interest in speaking materials and speaking learning achievement and investigate the correlation between debate speaking competence and speaking learning achievement simultaneously. This research is mix method, quantitative approach by using the correlational study as its method and qualitative. The samples of this research are 21 students. The data were gathered by using a questionnaire, interview, speaking test, and documentation value and were analysed by application SPSS. The findings showed the correlation between students’ interest in speaking materials and debate speaking competence at English student Muhammadiyah University of Bengkulu was 0.587. Furthermore, the correlation between students’ interest in speaking materials and speaking learning achievement was 0,460. In conclusion, interest in speaking materials gives a positive influence between debate speaking competence and achievement.&#x0D; Keywords: Interest, Speaking Competence, Speaking Learning Achievement, Speaking Materials
Interaction Strategies of Haggling in the ‘Pawn Stars’ and ‘The Pickers’ TV Shows

This study aims to investigate the Interaction strategies of haggling in the ‘Pawn Stars’ and ‘The Pickers’ TV shows. The participants are those who are involved in the interaction of haggling both in the TV shows. The instruments used for data collection in this qualitative study of sociopragmatics are video camera, television and computer. The data were collected through the video camera that was used to record the TV shows in the television and then the recorded TV shows in the video camera were transferred to the computer to be transcribed and analyzed. From the data analysis it is found out that buyers and customers often employ similar haggling strategies in some respects and distinctly different tactics in many other respects. Such strategies include humor, power, pleas and honorific tags. Therefore, it is expected that there will be other researches concerning this topic which involves much more comprehensive data or there will be other researches concerning the similar topic but at the different setting or participants.&#x0D; Keywords: Haggling, Interaction, Strategies, TV Shows
English Reading Comprehension Difficulties Of Ujian Tulis Berbasis Komputer (UTBK) By Senior High School at SMAS Pangeran Antasari Medan

The purpose of this study was to determine the challenges that seniors in high school encountered when responding to reading comprehension questions on the UTBK exam. This study employed a qualitative methodology. Senior high school students who have taken the UTBK test were the subjects of this study. This research was conducted in SMAS Pangeran Antasari Medan, in class XII IPA, there are 32 students in it. According to the study's findings, high school students' lack of interest in reading made them bored when reading the text in front of them. It was also difficult for them to decipher the meaning of the text because they lacked the necessary vocabulary and didn't practice answering questions about reading comprehension. As a result, they believed that the UTBK test was too difficult for them. So this research, senior high school students must increase their practice of reading comprehension questions both at home and in class, as well as their interest in reading and vocabulary, to overcome these challenges. This will make it simpler for them to solve problems in the reading comprehension section.&#x0D; Keywords: reading comprehension, UTBK
A CCFI Verification Scheme Based on the RISC-V Trace Encoder

Control-Flow Integrity (CFI) is used to check at runtime that a program’s execution path follows its corresponding Control-Flow Graph (CFG) and is not altered by software or physical attacks. In addition to the CFI’s features, the Code and Control-Flow Integrity (CCFI) verifies the integrity of the executed program code. This paper presents a CCFI verification system for programs executed on RISC-V cores. Our solution is built upon the RISC-V Trace Encoder (TE) that provides information about the execution path of the user’s program. An evolution of the TE specifications and additional logic have made it possible to monitor the integrity of a program control flow and of all the executed instructions. We implemented this approach on a RISC-V core and simulated its efficiency against Fault Injection Attacks. Its average hardware area and memory overheads are equal to 27.9% and 6.25% respectively. Compared to existing CCFI solutions, our methodology does not modify the user code, the RISC-V compiler or the core’s pipeline.