Reviewerly/exHarmony huggingface dataset:
Investigating the Support for Agility in Developing Government Software Systems: A Case of Three East African Countries

Agile Software Development Methods support an iterative and incremental way of developing software systems while responding to change by prioritising various aspects at different times. This differs from traditional sequential methods like Waterfall, in which one software development stage has to be completed before starting the next stage. To produce software systems that meet the requirements of their institutions, several governments in Africa have issued standards and guidelines to be followed during the development of government software systems. Such standards and guidelines specify the specific activities and deliverables for each stage of software development. While well-intentioned, such guidelines and standards can also hinder creativity and innovation which could be key to producing good quality and sustainable software systems. Given the degree of leniency that they offer, Agile methods could give room for such creativity and innovation among team members. However, despite such good potential in Agile methods, the literature lacks evidence regarding if and how the software development guidelines and standards issued by several African governments support agility. Various documents from three East African countries were reviewed, to determine if and how they support for agility during the development of government software systems. Guidelines and standards were reviewed using the lens of four Agile Values stated in the Agile manifesto. Results show the following: there is a marked lack of support for agility during the development of government software systems; the standards and guidelines are generally characterised by excessive micromanagement of the development process, leaving little or no room for innovation and creativity amongst members of the development teams; and the guidelines seem to assume uniformity across development projects, irrespective of the fact that software development projects can vary depending specific contextual dictates. Furthermore, recommendations on how governments can adopt and support agility during software development are provided.
On Blockchain Performance Enhancement: A Systematic Map of Strategies Used

Blockchain technology is one among the recent innovations in the computing industry. Blockchains have gathered a widespread interest in the industry mainly due to their security promise. Despite the anticipated benefits of Blockchains, there are several limitations which make the technology less suitable in large scale applications such as banking, one being low throughput. Several initiatives to improve the throughput of Blockchains are being tried out both in the academia and the business worlds but no systematic classification of the initiatives and the strategies used has been done. This study explores Blockchain performance improvement initiatives and classify the initiatives by the improvement strategy used. This study has found that, out of 365 articles on the area of Blockchain performance, 300 were solution proposals aimed at improving the performance of Blockchains. The most used strategies in these proposals were alternative to PoW, sharding and multi-chain architecture.
Quantitative Evaluation of Python Experimental Results Based on C Language Algorithm

This paper uses computer C language to quantitatively evaluate the Python experimental results in college. In view of the problems, the concrete implementation measures are put forward.
Research on the Path of College Education and Teaching Reform Driven by Artificial Intelligence

With the development of intelligent education and teaching in colleges and universities, the mixed teaching mode of online and offline has become the focus of current college education and teaching reform. From the perspective of concepts and technologies related to online teaching, as well as teachers and students involved in online teaching, there are still problems in online teaching in Chinese universities, such as insufficient interaction between teachers and students, weak autonomy of students' learning, insufficient mastery of new technologies by teachers, and imperfect online teaching platforms. The emerging information technology with AI as the core not only helps to improve the learning experience and teaching efficiency but also plays an important role in realizing personalized learning and improving students' awareness and ability of autonomous learning. This paper studies the problems existing in the online teaching process of Chinese colleges and universities and probes into the education and teaching reform path in colleges and universities based on artificial intelligence technology.
Exploration and Analysis of Key Issues in Subject-Oriented Services of University Libraries

As an important place rich in subject resources, university libraries can improve the utilization rate of information resources if they can actively optimize service effects for subject services. On top of this, this paper focuses on key issues and proposes an optimization path for subject services. Through measures such as improving the structure of subject librarians, refining the subject service management system, and implementing a precise chemical subject service model, the current situation of subject services can be effectively improved. University libraries are guaranteed to practice high-quality service goals.
Identification of Stroke with MRI Images Using the Learning Vector Quantization (LVQ) Method Based on Texture Features

Research on the Identification of Stroke with MRI Imagery Using the Learning Vector Quantization (LVQ) Method Based on Texture Features has been carried out. This study aims to determine the program's best parameters and the highest accuracy level of the stroke identification program. This research was conducted at Haji Sukolilo Hospital - Surabaya by obtaining 57 images of stroke patients and 15 images of regular patients. The study used the intelligence of stroke, tumor, and standard images to determine each category's image characteristics. After knowing the differences in each class, the next process is digital image processing, followed by feature extraction used is the Gray-Level Co-occurrence matrix (GLCM) with four parameters: contrast, correlation, diversity, and homogeneity. These four parameters are the best input parameters with an intelligence rate of 0.100 with a decrease in intelligence rate of 0.100, so the best accuracy value for training is 74.97%, and test data is 78.60%. Regarding the program's ability to correctly identify 11 data from 14 data tested, the program is feasible to be used as a second opinion.
Models of neural processing of consciousness: insights from cognitive and systems neuroscience

This review article aims to provide a general and up-to-date view of the neural processing models of consciousness, a topic that has aroused particular interest from the neuroscientific community to understand various phenomena associated with human behavior.It begins with the general statements about the concept of consciousness, the linked evolutionary and neuropsychological elements, the concept of consciousness defined as a state and as content experience, and also referring to its neural correlate.Finally, a general overview is given on how artificial intelligence is linked to the concept of consciousness and the main advances that have occurred so far.The aim of this review is to give the reader a global overview of the subject and its future projections, which are based on being a contribution to current knowledge on the subject and linking it to understanding human behavior in different contexts, ending in the approach of how machines they could resemble human behavior in the short or long term.
Effect of Face Blurring on Human Pose Estimation: Ensuring Subject Privacy for Medical and Occupational Health Applications

The face blurring of images plays a key role in protecting privacy. However, in computer vision, especially for the human pose estimation task, machine-learning models are currently trained, validated, and tested on original datasets without face blurring. Additionally, the accuracy of human pose estimation is of great importance for kinematic analysis. This analysis is relevant in areas such as occupational safety and clinical gait analysis where privacy is crucial. Therefore, in this study, we explore the impact of face blurring on human pose estimation and the subsequent kinematic analysis. Firstly, we blurred the subjects’ heads in the image dataset. Then we trained our neural networks using the face-blurred and the original unblurred dataset. Subsequently, the performances of the different models, in terms of landmark localization and joint angles, were estimated on blurred and unblurred testing data. Finally, we examined the statistical significance of the effect of face blurring on the kinematic analysis along with the strength of the effect. Our results reveal that the strength of the effect of face blurring was low and within acceptable limits (&lt;1°). We have thus shown that for human pose estimation, face blurring guarantees subject privacy while not degrading the prediction performance of a deep learning model.
Protecting Sensitive Data Early in the Research Data Lifecycle

How do researchers in fieldwork-intensive disciplines protect sensitive data in the field, how do they assess their own practices, and how do they arrive at them? This article reports the results of a qualitative study involving 36 semi-structured interviews with qualitative and multi-method researchers in political science and humanitarian aid/migration studies. We find that researchers frequently feel ill-prepared to handle the management of sensitive data in the field and that formal institutions provide little support. Instead, they use a patchwork of sources to devise strategies for protecting their informants and data. We argue that this carries substantial risks for the security of the data as well as their potential for later sharing and re-use. We conclude with some suggestions for effectively supporting data management in fieldwork-intensive research without unduly adding to the burden on researchers conducting it.
The Development of Digital Books Based on Contextual Approach to Improve Mathematical Communication Skills at Mawaridussalam Class VII A.Y 2020/2021

This research aims to obtain a digital book based on a contextual approach that is valid, practical, and effective, so as to improve students' mathematical communication skills on the material of perimeter and area of a rectangle. The research instruments used were questionnaire and instrument validation sheets, lesson plans validation sheets, interactive teaching materials validation sheets, mathematical communication skills tests, and student and teacher response questionnaires to teaching materials. After all instruments, lesson plans, and interactive teaching materials were declared valid by the validator, then readability tests and field trials were carried out. The results of the study show that: (1) The digital book based on the contextual approach developed has met the criteria of validity based on the validator's assessment with an average validity of lesson plans of 87% in the very feasible category and the average validity of digital books is 90% for material and 88% for media with very decent category; (2) the contextual-based digital book developed has met the practicality criteria through: a) the results of the student response questionnaire to interactive teaching materials show the percentage of practicality of 79.9% in the very practical category; b) the results of the teacher's response questionnaire to interactive teaching materials show the percentage of practicality of 89.01% with a very practical category; (3) The developed contextual-based digital book meets the effective criteria with: a) classically 92% mastery of student learning; b) more than 65% of students achieved 75% of the learning objectives for each indicator; c) learning time is the same as ordinary learning in field trials and good student responses to the developed teaching materials. Through the Gain test, it can be seen that the mathematical problem solving ability of students using digital books based on a contextual approach has increased by 0.74, meaning that it is in the high category
English-Chinese Corpus Collection and Translation Wisdom Algorithm Implementation Based on Ajax+JQuery

This paper firstly introduces the discussion of "representativeness" in the construction of translation corpus abroad. Jie Cao pointed out that under the circumstance that the current theoretical research is still very familiar, the construction of the English-Chinese translation bank should be based on this. From the point of view of "translating and breaking the c-test", it takes the construction of "the core of eucalyptus" as the breakthrough point. This paper discusses the functional design of the college student information management system using the jQuery framework and AJAX technology and using the multi-layer architecture. It constructs a student-centered teaching corpus and applies it to teaching practice. Taking the comparative translation teaching method as the guiding ideology, it discusses the specific measures to apply the translation corpus in the process of college English translation teaching.
Design and QoS Optimization Model of Party Building Cloud Platform Based on FoRTAN

Using FoumNPowERsTAⅡoNv4. o to develop a simulation program is the core focus of this paper. It has a good wlND0ws interface, which can intuitively and conveniently carry out a man-to-machine dialogue, which is convenient for simulation racing. Its application example shows that the program has universality and practicability. The informatization work of party building in colleges and universities can be carried out according to different situations: confidential work can be combined with the campus informatization platform; collaborative work between units can introduce third-party questionnaires and cloud collaboration documents to connect the data communication network with information. Intranet integration and unified deployment. With the growth of communication data volume, higher requirements are put forward for the quality of service of converged network QoS and the resource consumption of base stations and users.
Conflicting Conceptions of Hate Speech in the ECtHR’s Case Law

Abstract This article argues that the ECtHR uses two conflicting tests to assess the same types of hate speech. This results in legal uncertainty at best, and arbitrariness and double standards at worst. To remedy the present situation, I propose a two-track strategy. To begin with, the Court should abandon its “bad tendency” approach, a test prone to abuse by governments to silence political dissent under the guise of fighting hate speech, for a set of uniform criteria to assess hate speech-restrictions, in line with its current incitement approach. In addition, however, to compensate for the loss of protection against severe forms of vilification which do not meet the incitement-criteria, the Court should formulate a new category of unprotected speech, to be defined as intentional intimidation or harassment.
Critical Analysis of the Law Relating to Cyber Crime

Abstract: The Cyber Crime is most popular Crime in the world the Cyber Criminals Crimes are the Committed day by day .This Crime commit the Computer and Internet in this Crime Criminals are hacking the Computer system, Mobile like that Hacking virus ,Worm attacks, DOS attack etc. The personal data are Theft Like that Bank account detail, e-mail, Mobile messages .The computer as a weapon using the computer system to commit real world Crimes like Cyber terrorism, IPR(Intellectual property infringing) contravention, credit card frauds, EFT (Electronic fund transfer) Frauds, Pornography etc. The Cyber Criminals activities to the internet are termed as Cyber Crimes with the increasing popularity of online activity like that online banking and online Sopping In this term hearing the news day by day. The Cyber Crime law of The Cyber Criminals can involves the Crimes activity like that Theft, fraud, forgery, scandal and mischief all of which are the object to the IPC. The Abuse of the computer has also given birth to a scale of new generation Crimes that are addressed by the information technology .The Cyber law is a term used to explain legal issues affined to use of communications technology, particularly cyberspace the Internet.
4E Strategy for Pedagogical Analysis of Content

Abstract: Pedagogical analysis is based on four essentials pillars along with their inherent mutual relationships and interdependence for being considered essential in the effective teaching-learning process. Content analysis of the topic being taught by the teacher in the subject. Setting of the teaching or instructional objectives of the content material of the topic in hand by writing them in specific behavioral term. Suggesting methods, techniques, teaching-learning activities aids and equipments helpful for the teaching-learning of the topic in hand quite in tone with the realization of the set instructional objectives. Suggesting appropriate evaluation devices in the form of oral, written or practical activities and test questions etc. for evaluating the outcomes of the teaching-learning process carried in relation to the teaching-learning process carried in relation to the teaching of the topic in hand. Researcher developed a strategies for pedagogical analysis of a particular content that is called “4E Strategy”.
Low-Cost Portable System for Measurement and Representation of 3D Kinematic Parameters in Sport Monitoring: Discus Throwing as a Case Study

Monitoring of sports practice has become an almost essential tool in high-level professional training. The knowledge of the exact movements performed by an athlete provides a great advantage over conventional training, since the best performance can be theoretically known in advance and the trainer will expect the real athlete's movements to approximate it. Following this trend, this article deals with the design and development of a low-cost wearable biofeedback system for the measurement and representation of kinematic parameters in 3D. To capture the athlete's movements, an inertial measurement unit (IMU) is used, whose data are processed in an microcontroller-based architecture. The kinematic parameters of the athlete's movement are sent via Bluetooth to a smart phone, where they are displayed graphically. Experimental examples show the effectiveness of the device developed and illustrate the key results derived.
THE OBSTACLES OF ENGLISH LEARNING TOWARD STUDENTS’ ACHIEVEMENT AT SMA N 2 TAKENGON

This study describes the obstacles in English learning at SMA N 2 Takengon. The location of this school is close to the city and all access to be able to develop students' English skills, but this school does not stand out in the English language arena, therefore the specific objectives of this study is knowing the obstacles faced by students in English learning. This study is qualitative study with an explorative approach. The subjects of this study consisted of nine students who were selected using a purposive sampling technique. Data collection techniques using observation, interviews, and documentation. After that, the data obtained are classified according to Ayu Lestari's theory to determine the obstacle, then the data were analyzed using the theory of Miles and Hubeman, there are; data reduction, data presentation and conclusion drawing/verification. The results of the study is the obstacles faced by students in learning English have two aspects, the first is external; the school does not have a language laboratory, the school library does not provide English reading books such as novels, comics and dictionaries, the school does not have slogans and wall stickers in English. Second is internal; students are not confident in speaking English during English lessons, students are not used to watching movies and reading English books. At the end of the study, it was found that the obstacles faced by students at SMA N 2 Takengon.
A New Approach to Information Security Auditing in Public Administration

Due to the rapid pace of globalisation and digitalisation and the better usage of ICT technology, cybercrime is also rising. Hence, the secure operation of controlling and auditing information systems is fundamental in both the private and public sectors. It is generally accepted in the private sector that companies seek an independent third-party’s assistance to carry out information security audits. However, how do information security audits work in public administration? The article aims to characterise and assess information security auditing in public administration and define a new solution for conducting such audits. The article is considered a theoretical research paper. Theoretical research explains the basic terms related to auditing and defines conditions for efficient and effective information security auditing. Additionally, the research aims to answer whether the internal (bureaucratic, within the public administration organisational system) or external (third-party) audits prove more effective.
Few-shot Segmentation with Optimal Transport Matching and Message Flow

We tackle the challenging task of few-shot segmentation in this work. It is essential for few-shot semantic segmentation to fully utilize the support information. Previous methods typically adopt masked average pooling over the support feature to extract the support clues as a global vector, usually dominated by the salient part and lost certain essential clues. In this work, we argue that every support pixel's information is desired to be transferred to all query pixels and propose a Correspondence Matching Network (CMNet) with an Optimal Transport Matching module to mine out the correspondence between the query and support images. Besides, it is critical to fully utilize both local and global information from the annotated support images. To this end, we propose a Message Flow module to propagate the message along the inner-flow inside the same image and cross-flow between support and query images, which greatly helps enhance the local feature representations. Experiments on PASCAL VOC 2012, MS COCO, and FSS-1000 datasets show that our network achieves new state-of-the-art few-shot segmentation performance.
Berkarya Melalui Film: Pendampingan Pembuatan Film Pendek Bagi Siswa Madrasah Aliyah

The importance of the soft skills of high school students today tends to be a social concern. Judging from the development of digitalization of existing media, high school students need to prepare and equip themselves to face the rhythm of learning in higher education, or be ready to enter the community with all their competencies. The purpose of this service is to provide assistance for high school students and/or equivalent to Madrasah Aliyah (MA) in the process of making short films. The service is carried out in two stages and is located at MAN 1 Special Program (PK) Surakarta. Through this service, the participants were given material about the initial concept of making a short film, as well as a number of stages in making a short film. Then, participants were asked to practice some simple techniques in taking pictures on film, and continued with the process of making short films. Overall, the participants are expected to have the ability and knowledge of how to make a short film, starting from drafting concepts and story ideas, making scripts, the execution process in shooting, as well as editing and the final stage.