Reviewerly/exHarmony huggingface dataset:
LibGuides: Data Management Plan: Reference

This guide introduces what a research data management plan (DMP) is, its content, the rationale of writing a DMP, and resources on DMP.
The Role of 'Digital Forensic Photography'- In the Indian Criminal Justice System

Photography is one of the most critical factors in any crime scene solving cases. Crime Scene photography or forensic photography is an important role depending on the crime scene as well as its a photo in the criminal justice system as a scene of crime evidence. In the 21st century all over the world, all respective forensic science authorities used high-resolution camera, lens and modern instrumentation technology to capture crime scene occur photos. Evidence collection and preservation using digital forensic photography is a crucial aspect of a future legal proceeding. In this paper, we summarize the modern aspects of digital forensic photography in the Indian criminal justice system.
A LITERATURE SURVEY ON BLOCKCHAIN CYBER SECURITY DESIGN

The problem of block chain cyber security is discussed in this survey study. Block chain cyber security is essential in today's generation[08]. Many studies on block chain cyber security have been done in the past quarter. This research article discusses block chain cyber security improvement. Discussing blockchain technology cybersecurity. Block chain technology, derived from the Merkle Tree, would be a decentralised digital record that secures data transfers. Its decentralisation eliminates the need for these central authority to manage it. This article presents an overview of block chain technology. This study first clarifies the basics of Blockchain Technologies. This research study surveys algorithms presented in numerous block chains. Block chain, the backbone of Bitcoin, has lately gotten a lot of Block chain is really an irreversible data storage technique that may be used to store value in anything. Nevertheless, becoming a human concept, block chain technology has drawbacks such as sustainability, privacy, and non-technical customer. Furthermore, this study effort has discussed current technological advancements.
Effect of digital filtering on the analysis of surface deformations using electronic speckle pattern interferometer

Digital filtering is an essential part of electronic speckle pattern interferometer which is been used widely to study surface deformations. Raw speckle patterns needs digital filtering before it is used for further analysis. Many times multiple use of digital filtering leads to change in the quantitative information of surface under study. This paper reports effect of multiple usages of various digital filters on the calculated surface deformation values. Multiple usages of various digital filtering leads to loss in speckleness of the pattern indicating decrease in speckle noise and marginal and in some cases significant change in surface displacement values.
DEA와 MPI를 활용한 한국자산관리공사 지역본부의 국유재산관리 성과에 대한 효율성 및 생산성 분석

(Purpose) This study aims to analyze the relative efficiency and productivity of state-owned property management in order to provide information necessary for enhancing competitiveness and efficiency for the regional headquarters of Korea Asset Management Corporation.(Design/methodology/approach) This study analyzed changes in the efficiency and productivity by utilizing the three year long data of the KAMCO from 2017 to 2019, using non-parametric efficiency analysis models, DEA model and Malmquist Productivity Index analysis model(Findings) According to the result of DEA, Technical Efficiency average based on CCR model of the KAMCO was 0.695 in 2017, 0.720 in 2018 and 0.690 in 2019. Pure Technical Efficiency due to BCC model was 0.753 in 2017, 0.744 in 2018 and 0.772 in 2019. According to the result of Malmquist Productivity Index, when the time series average productivity index was examined, MPI had increased 3.1%. This demonstrates that this is derived not so much from the increase in the Technological Change and Pure Efficiency Change but from the decrease in the Technical Efficiency Change and Scale Efficiency Change.(Research implications or Originality) While there are many studies on the management efficiency analysis of public enterprises in the previous studies, this study differs from previous studies in that it understands the overall operation status of each regional headquarters and presents efficiency analysis and benchmarking information.
洪業(William Hung)이 구축한 杜詩 읽기의 새로운 방법론

This study considered William Hung’s reading of Du-fu’s poems, who stood on the boundary between the East and the West, to examine the diversity of interpretation according to changes in time and space. As can be seen from the early evaluation of Du-fu presented by Liang-Qichao, the evaluation of modern Du-fu’s poems shows a different aspect from that of the traditional period. William Hung attempted to identify the creative date of Du-fu’s work and index the Du-fu’s works, reflecting a change in the perception of Du-fu’s poetry after modern times, and a new academic trend in the West. It is said that this led to changes in reading Du-fu’s poetry, which is different from traditions.
Building an Ensemble of Classifiers via Randomized Models of Ensemble Members

Many dynamic ensemble selection (DES) methods are known in the literature. A previously-developed by the authors, method consists in building a randomized classifier which is treated as a model of the base classifier. The model is equivalent to the base classifier in a certain probabilistic sense. Next, the probability of correct classification of randomized classifier is taken as the competence of the evaluated classifier. In this paper, a novel randomized model of base classifier is developed. In the proposed method, the random operation of the model results from a random selection of the learning set from the family of learning sets of a fixed size. The paper presents the mathematical foundations of this approach and shows how, for a practical application when learning and validation sets are given, one can determine the measure of competence and build a MC system with the DES scheme. The DES scheme with the proposed model of competence was experimentally evaluated on the collection of 67 benchmark datasets and compared in terms of eight quality criteria with two ensemble classifiers which use the previously-proposed concepts of randomized model. The proposed approach achieved the lowest ranks for almost all investigated quality criteria.
GO-GN Guide to Conceptual Frameworks

This collaboratively written book brings together insights from a range of researchers into their use of conceptual frameworks when studying open education. It also includes an overview of different approaches to understanding the role(s) of theories and conceptual frameworks in doctoral research. In addition to discussing the different ways that conceptual frameworks are used, we provide a (selective) overview of a range of conceptual frameworks and examples of their use. The GO-GN Conceptual Frameworks Guide is primarily intended for those working in doctoral research. However, as it is written in an accessible style, it can be used by anyone interested in carrying out a research project.
The effect of Adelson's model on the achievement of rhetoric and application among fifth-grade literary students

The research aims to identify the impact of the Adelson model on the achievement of rhetoric and application among the literary fifth grade students. The researcher adopted the experimental method as it is the appropriate method for the nature of her research, and she chose a design from the partial control designs, which is the design of the experimental group and the random control group, the choice with the post-test, and the researcher chose by A random sample of her research consisting of (30) female students was divided into two groups of (15) female students in the experimental group and (15) female students in the control group the mothers, and the degrees of the former scientist in the subject of the Arabic language and the language ability test. (At the end of the experiment, the results showed the superiority of the students who studied the subject of rhetoric and application according to the Adelson model over the students of the control group who studied the same subject in the standard traditional way.
Perancangan dan Pengembangan Video untuk Aktivitas Dalam dan Luar Rumah untuk Mendukung Kesejahteraan Manula di Batam

Video as one of the developments in information technology that has the benefit of providing information and motivation for people to carry out an activity. One of the stages of human life is growing old as a senior, requiring activities aimed at developing his or her well-being. The method used to develop the video is Research and Development(R&D) and using Rowntree model. The contents of the video content are reading, caring for plants, playing chess and sports by seniors. The developed video has received a small group evaluation and a large group evaluation to get comments and suggestions regarding the necessary revisions. Based on user comments, the developed video has provided useful information regarding the activities of seniors
حملة مقاطعة المنتجات الفرنسية على تويتر: دراسة في تحليل الشبكات الاجتماعية

The publication of offensive cartoons of the Prophet Mohammad (PBUH) by a French Magazine in October 2020 has generated a continuous trending Digital Campaign to Boycott French Products. This exploratory article offers a Social Network Analysis of the Twitter Campaign to understand the type of the social network, the motives and goals of the participants, and the main themes of the campaign. We use (NodeXL) to analyze the Network, and (MAXQDA) to perform the Content analysis of a random Tweets sample. The results show a high level of solidarity and minimum level of polarization, the dominance of religious content, followed by economic and political ones, and the participants’ tendency to contextualize the tension with France over the Cartoons in a wider political and cultural struggle.
Web Conference Design Using Jitsi Integration With Matrix For Online Learning

This study aims to design a web conference using an integration method with a matrix for online learning which will be implemented in the Department of Information and Computer Engineering Education, Bung Hatta University. This type of research is a design using the waterfall method. The stages carried out are Planning, Analysis, Design, Implementation, Testing and Integration, Operation and Maintenance. Testing this application has 2 stages, namely, the application is validated by the lecturer and the application is tested using QoS. The overall validation of the application by the validator is valid. For practical application testing using QoS testing which has very good throughput results, poor packet loss, very good delay, very good jitter. This shows that the design of a web conference application using an integration method with a matrix for online learning is valid and practical to use as a communication medium during lectures.
Effects of 1% and 3% Mobe Leaf Extract Gel on Socket Wound Healing after Tooth Extraction

Tooth extraction is a process of removing teeth from the alveolar bone. In wound healing, fibroblast are very important cells. The main purpose of this study was to determine the effect of mobe leaf 1% and 3% extract gel (Artocarpus lakoocha) on fibroblast proliferation in post extraction tooth socket wound healing. This research used 16 samples of wistar rats, divided into 4 groups, a positive control group, a negative control group and a 1% and 3% mobe leaf extract gel group. The left mandibular incisors were extracted, then 1% and 3% gels of mobe leaf extract were applied on day 1 to day 7. Data analysis was calculated using the Kruskal-Wallis test on clinical data and one way ANOVA test for microscopic. The result of the socket wound healing activity test for a good concentration of mobe leaf extract gel was 3%. This research shows significant resultith p-value of 0.018 (&lt; 0.05) on the closure of the socket wound clinically which means the closure of the wound accelerates because of the mobe leaf 3% extract gel treatment. The distance of fibroblast on microscopically shows significant resultith a p-value of 0.002 (&lt; 0.05), which means that there was an enlargement of the distance fibroblast at the socket wound closure with application of mobe leaf 3% extract gel. From the results of the study it can be concluded that mobe leaf 3% extract gel has the best ability to show acceleration the closure of the socket wound either clinically or microscopically.
The student with Autistic Spectrum Disorder (ASD) and remote learning

This is qualitative research that investigated the pedagogical strategies adopted during the Covid-19 pandemic to assist a student with Autism Spectrum Disorder (ASD) enrolled at the Federal Institute of Rondônia (IFRO). ASD is a term that includes, among other manifestations, autism, and the individual usually presents deficits in communication, social and behavioral interaction at different levels. Thus, the objective was to understand how pedagogical strategies were planned and developed so that the autistic student could follow the classes at home, as well as having greater ease in interacting with classmates. The methodology involved accessing documents in digital media, without personal contact, during the period from June to November 2020. The results indicated that the Virtual Learning Environment (AVA) was adapted through an accessibility tab and monitoring through the remote inclusive monitoring, which is developed by a student under the supervision of a supervisor. Thus, the autistic student had weekly monitoring and support to overcome their learning difficulties, which were more accentuated in remote education.
Diffusion-Based Representation Learning

Score-based methods represented as stochastic differential equations on a continuous time domain have recently proven successful as a non-adversarial generative model. Training such models relies on denoising score matching, which can be seen as multi-scale denoising autoencoders. Here, we augment the denoising score-matching framework to enable representation learning without any supervised signal. GANs and VAEs learn representations by directly transforming latent codes to data samples. In contrast, the introduced diffusion based representation learning relies on a new formulation of the denoising score-matching objective and thus encodes information needed for denoising. We illustrate how this difference allows for manual control of the level of details encoded in the representation. Using the same approach, we propose to learn an infinite-dimensional latent code which achieves improvements of state-of-the-art models on semi-supervised image classification. As a side contribution, we show how adversarial training in score-based models can improve sample quality and improve sampling speed using a new approximation of the prior at smaller noise scales.
Augmented Reality Fire Safety Application

There is lack of awareness about fire safety among the public and research has shown this problem exists despite many trainings have been conducted. This project aims to increase awareness of especially but not limited to, the people in Universiti Teknologi PETRONAS (UTP) about fire safety by examining existing technology used to disseminate fire safety information, developing a mobile application that augment the use of fire safety device, and performing testing of the application in terms of its usefulness. This project applies the augmented reality (AR) technology to simulatehow a fire extinguisher works. AR enables virtual objects to be overlaid onto the real�world environment and it can provide user an interactive experience. Analysis of thetesting and survey indicates that the application has helped to gain the attention of the participants regarding fire safety. It is recommended to make further improvements onthis application so that in the future, using the AR Fire Safety Application can be included as part of HSE training in UTP.
Differentiable Neural Motion Planning under Task Constraints

Author(s): Qureshi, Ahmed Hussain | Advisor(s): Yip, Michael | Abstract: Autonomous robots will soon play a significant role in various domains, such as search-and-rescue, agriculture farms, homes, offices, transportation, and medical surgery, where fast, safe, and optimal response to different situations will be critical. However, to do so, these robots need fast algorithms to plan their motion sequences in real-time with limited perception and battery life. The field of motion planning and control addresses this challenge of coordinating robot motions and enabling them to interact with their environments for performing various challenging tasks under constraints. Planning algorithms for robot control have a long history ranging from methods with complete to probabilistically complete worst-case theoretical guarantees. However, despite having deep roots in artificial intelligence and robotics, these methods tend to be computationally inefficient in high-dimensional problems. On the other hand, machine learning advancements have led toward systems that can directly perform complex decision-making from raw sensory information. This thesis introduces a new class of planning methods called Neural Motion Planners that emerged from the cross-fertilization of classical motion planning and machine learning techniques. These methods can achieve unprecedented speed and robustness in planning robot motion sequences in complex, cluttered, and partially observable environments. They exhibit worst-case theoretical guarantees and solve a broad range of motion planning problems under geometric collision-avoidance, kinodynamic, non-holonomic, and hard kinematic manifold constraints. Another challenge towards deploying robots into our natural world is the tedious process of defining objective functions for underlying motion planners and transferring and composing their motion skills into new skills for a combinatorial outburst in robot’s skillset for solving unseen practical problems. To address these challenges, this thesis introduces novel methods, i.e., variational inverse reinforcement learning and compositional reinforcement learning approaches. These methods learn unknown constraint functions and their motion skills directly from expert demonstrations for NMPs and compose them into new complex skills for solving more complicated problems across different domains. Finally, this thesis also presents a model-free neural task planning algorithm that works with never-before-seen objects and generalizes to real world environments. It generates task plans for underlying motion planning and control approaches and solves challenging rearrangement tasks in unknown environments.
AN ANALYSIS OF TEACHER’S STRATEGIES ON ENGLISH LEARNING DURING PANDEMIC

At the end of 2019, the world was shocked by the Covid-19 virus in Wuhan, China. This situation requires teaching and learning activities to be carried out at home online. This study was conducted with the aim of describing the strategies teachers used in teaching English during the pandemic. This study used descriptive qualitative method. Data was collected using observation, interview, and documentation techniques. To maintain the validity of the data, data triangulation is carried out. From the results of the study it can be found that: (1) Teachers tend to use WhatsApp and Youtube applications, for speaking skills the teacher uses discussion strategies. Meanwhile, for writing skills the teacher uses 3 strategies, namely planning, drafting, and editing. Meanwhile, for listening skills the teacher uses several strategies such as listening to the song, writing the lyrics, and matching the lyrics. (2) The strategies used by teachers during teaching during the pandemic are very helpful for teachers in teaching and learning activities to achieve learning objectives.Keyword: teacher strategies, english teaching, e-learning
Prediction of Scholarship Recipients Using Hybrid Data Mining Method with Combination of K-Means and C4.5 Algorithms

Obtaining a scholarship is the desire of every student or student who studies, especially those who come from poor families. The scholarship can lighten the burden on parents who pay for these students and can streamline the lecture process. However, students do not know exactly what they have to do to get the scholarship. Aside from that, students naturally want to know what causes and conditions have the greatest impact on achievement. The objective of this research is how to predict which number of students among them are predicted to get a scholarship at the opening of the scholarship acceptance using the K-Means and C4.5 methods. Apart from that, the aim of this research is to discover how the K-Means algorithm conducts data clustering (clustering) of student data to determine if they will succeed or not, as well as how the C4.5 algorithm makes predictions against students who have been clustered together. The Rapid Miner program version 9.7.002 was used to process the data in this report. The results of this study were that out of 100 students, 32 students were not scholarship recipients and 68 students were scholarship recipients. Another result of this research is that out of 100 students it is predicted that 9 (9%) will receive scholarships and 91 (91%) will not receive scholarships.
New Uses for Technology: Supporting Dual Language Learners Using Translation Apps

MacroWorld Publishing Co. is an independent global publisher of highest quality journals, monographs, revised dissertations, primary sources, bibliographies, textbooks, other books, eBooks, reference works and online resources.
Applying Aviation Training Techniques in the IT Classroom

Aviation training is a rigorous process requiring the student pilot to learn the theoretical underpinnings of multiple subjects, risk management and decision making under stress, and, of course, the skills necessary to fly a plane. The educational process is rooted in learning theory, but it utilizes several approaches more fully than in typical academic classrooms resulting in a significantly greater level of engagement. This paper documents the results of a pilot study to apply three of these approaches in an information technology programming course-the Master/Apprentice approach, a focus on task mastery vs. time on task, and shared responsibility for achieving goals. While these three approaches were implemented to a limited degree during the pilot, the successful results suggest a more complete implementation of these approaches which is also outlined in this paper.