Reviewerly/exHarmony huggingface dataset:
Global Research Decentralized Autonomous Organization (GR-DAO): A DAO of Global Researchers

The latest trend in Blockchain formation is to utilize decentralized autonomous organizations (DAO) in many verticals. To date, little attention has been given to addressing the global research domain due to the difficulty in creating a comprehensive framework that can marry the cutting edge of academic-grade scientific research with a decentralized governance body of researchers. A global research decentralized autonomous organization (GR-DAO) would have a profound impact on the research community academically, commercially, and the public good.In this paper, we propose the GR-DAO as a global community of researchers committed to collectively creating knowledge and sharing it with the world. Scientific research is the means for knowledge creation and learning. The GR-DAO provides the guidance, community, and technological solutions for the evolution of a global research infrastructure and environment. Through its design, the GR-DAO embraces, enhances, and extends the model of research, research on decentralization, and DAO as a model for decentralized and autonomous organizing. This design, in turn, improves most of the uses for and applications of research for the greater good of society. The paper examines the core motivation, purpose, and design of the GR-DAO, its strategy to embrace, enhance and extend the research ecosystem, and the GR-DAO design uses across the DAO ecosystem.
Analysis of Injury Severity involving of Passenger Vehicles’ Occupants in Frontal Impact Collisions

&#x0D; &#x0D; &#x0D; In Malaysia, Passenger Vehicles (PV) accounted for the second-highest proportion of vehicles involved in road crashes (13.5%) as well as the total number of casualties (18.6%) after motorcycles. This raised the alarm that a thorough investigation should be conducted on the injury severity of occupants in PV crashes involving frontal impact collisions. The objective of this study is to evaluate injury severity outcome based on the selected crash parameters for the front seat occupants involved in frontal impact collision. The data for this study was sourced from the MIROS crash investigation database (MICARS) from 2007 until 2019, during which MIROS had investigated a total of 975 cases in both East and West Malaysia. After filtering through the cases, a total of 129 frontal impact crashes (PV versus PV) involving 206 PV and 349 front seat occupants were selected for data analysis. From the total number of selected cases, 82 cases were involved in head-on collisions while 47 cases were involved in side-impact collisions. As a result, crash configuration, crush extent, airbag availability, and seatbelt wearing are strongly related to the level of injury severity of frontal seat occupants involved in a frontal impact collision. Meanwhile, collision types and occupant seating position do not appear to be significantly related to the severity of the occupants’ injuries.&#x0D; &#x0D; &#x0D;
PENGARUH EFEKTIVITAS PENGGUNAAN SISTEM INFORMASI AKUNTANSI DAN SISTEM PENGENDALIAN INTERNAL TERHADAP KINERJA KARYAWAN

Abstract: The use of information systems is intended to simplify user tasks so that time, cost and resource savings can be achieved in decision making. Several things that cause the information system to have problems including; time, the system environment has changed, changes in operational procedures. Meanwhile, information system problems related to the characteristics of information are relevance, accuracy which has the factors of completeness, correctness, security, and timeliness. The research limits the research to include only the control of accounting information systems and procedures and data retrieval related to the title of the research topic. In principle, the accounting information system has an important role in employee performance. To provide relevant and reliable financial reports that can be used as information and a basis for decision making is an effort to improve individual work from an accounting point of view. Keywords: effectiveness, accounting information system, internal control, employee performance.
The Game of Poker Chips, Dominoes and Survival

Abstract The Game of Poker Chips, Dominoes and Survival fosters team building and high level cooperation in large groups, and is a tool applied in management training exercises. Each player, initially given two colored poker chips, is allowed to make exchanges with the game coordinator according to two rules, and must secure a domino before time is called in order to ‘survive’. Though the rules are simple, it is not evident by their form that the survival of the entire group requires that they cooperate at a high level. From the point of view of the game coordinator, the di culty of the game for the group can be controlled not only by the time limit, but also by the initial distribution of chips, in a way we make precise by a time complexity type argument. That analysis also provides insight into good strategies for group survival, those taking the least amount of time. In addition, coordinators may also want to be aware of when the game is ‘solvable’, that is, when their initial distribution of chips permits the survival of all group members if given su cient time to make exchanges. It turns out that the game is solvable if and only if the initial distribution contains seven chips that have one of two particular color distributions. In addition to being a lively game to play in management training or classroom settings, the analysis of the game after play can make for an engaging exercise in any discrete mathematics course to give a basic introduction to elements of game theory, logical reasoning, number theory and the computation of algorithmic complexities.
LibGuides: System Wide Holds - Training Guide: Horizon System Login

The purpose of this guide is to provide staff a reference resource for processing Requests and Holds on NLPL materials.
Interpretable Dual-Feature Recommender System Using Reviews1

Reviews have been commonly used to alleviate the sparsity problem in recommender systems, which has significantly improved the recommender performance. The review-based recommender systems can extract users features and items from review texts. The existing models such as D-Attn and NARRE employ convolutional neural networks and a coarse-grained attention mechanism to code reviews that have been embedded using the static word embedding, ignoring the long distance text information and lacks interpretability. To overcome these problems, this paper proposes the DNRDR (Dual-feature Neural Recommender with Dual-attention using Reviews) model, which can extract dual features of review text and can also enhance the interpretability using the word-level and review-level attention mechanisms. The proposed model is verified by experiments and compared with the state-of-the-art models. Besides, the dual-level attention mechanism can be visualized to improve interpretability.
LibGuides: Research Help: Primary Sources

Use this guide to help you learn about research and perform research yourself for both academic and leisurely activities.
Exploring e-learning platforms used by students in Indonesia during the Covid-19 pandemic

Covid-19 is a disease that has been a big problem for the development of a country, especially in the education field. One of the most worrisome things is a decline in the quality of human resources, so that some efforts were made to overcome it, one of which is learning through e-learning. E-learning provides effectiveness and efficiency in learning because it provides a new learning atmosphere that is not limited by time and place. This research aims to theoretically explore the implementation of e-learning in Indonesia during Covid-19 according to the literature review. Students from elementary school to higher education use many platforms, such as WhatsApp group, Zoom, Schoology, and Edmodo. However, the most widely used platform is Google Classroom. The challenge of implementing e-learning is on the internet connection as the main source and educators’ role in providing materials.
VIRTUALITY IN UNIVERSITY EDUCATION AND THE TEACHING-LEARNING PROCESS IN HEALTH SCIENCE CAREERS

Combining face-to-face and virtuality based on the progressive integration of Information and Communication Technologies in the context of higher education in health sciences and its management, constitutes a challenge and a necessity in view of the continuous improvement of curricula and the dynamism of an environment marked by the health crisis of COVID 19 without affecting the quality of the educational teaching process or the student's training during the teaching-learning process. The general objective of the research is: to determine the relationship between the virtuality of education and the university formation of the students of the Universidad Catdlica Los Angeles de Chimbote, Peru. The statistical reliability test of the instruments developed is developed, the validity through expert judgment and the reliability of Cronbach's alpha;to determine the correlation of the variables, the Rho Spearman statistical test is used. Two questionnaires were applied, the first to 36 students to measure the virtuality of education and the second to 13 teachers to determine the university education of the 36 students. Among the main results, it can be seen that most of the students consider virtuality in education as good and their teaching results and scientific activity is also good.
Decentralized Reservation of Spatial Volumes by Autonomous Vehicles : Investigating the Applicability of Blockchain and Smart Contracts

Background: Due to the rising popularity of autonomous unmanned vehicles, and the lack of well-defined rules to follow, a solution is needed when the physical space is crowded to a point where it b ...
Data centric approach to Chinese Medical Speech Recognition.

Concerning the development of Chinese medical speech recognition technology, this study re-addresses earlier encountered issues in accordance with the process of Machine Learning Engineering for Production (MLOps) from a data centric perspective. First is the new segmentation of speech utterances to meet sentences completeness for all utterances in the collected Chinese Medical Speech Corpus (ChiMeS). Second is optimization of Joint CTC/Attention model through data augmentation in boosting recognition performance out of very limited speech corpus. Overall, to facilitate the development of Chinese medical speech recognition, this paper contributes: (1) The ChiMeS corpus, the first Chinese Medicine Speech corpus of its kind, which is 14.4 hours, with a total of 7,225 sentences. (2) A trained Joint CTC/Attention ASR model by ChiMeS-14, yielding a Character Error Rate (CER) of 13.65% and a Keyword Error Rate (KER) of 20.82%, respectively, when tested on the ChiMeS-14 testing set. And (3) an evaluation platform set up to compare performance of other ASR models. All the released resources can be found in the ChiMeS portal (https://iclab.ee.ntust.edu.tw/home).
Visualization Design Effects on Credibility and Data Perception, and the Importance of Digital Interaction

An effective visualization can often give an insight into data that would otherwise be difficult to analyze. The company Assedon aims to make data understandable to their clients by using data visu ...
Developing an Android-Based English Reading Material for the Eighth Grade Students in Mtsn Karangasem

This study intended to develop an android-based application for English reading material learning for the eighth-grade students in MTsN Karangasem. This study used the design and development design model proposed by Richey &amp; Klein (2014) which consisted of three major steps namely; 1) Design, 2) Development, 3) Evaluation. The subjects of this study were the eighth grade students of MTsN Karangasem, the English teacher in MTsN Karangasem, and integrated technology experts. The instruments used in this study were questionnaire, interview guide, and product evaluation sheets. The data were collected and analyzed qualitatively and quantitatively. The results showed that the students’ motivation to learn English was lack and need more learning resources or materials to learn reading comprehension. The eighth-grade students need a smartphone application that provides reading material learnt in the class. The material developed in this study was limited to Recount Text material. The quality of the application got a high score from experts, which categorized in the excellent category. The use of the effective application with meaningful learning activities
E-LEARNING PADA MADRASAH ALIYAH NEGERI 2 MUARO JAMBI:

E-learning is an education system that uses electronic applications that aim to support the development of teaching and learning activities with internet media or other computer network media. MAN 2 Muaro Jambi The teaching process is still an old system that is done through face to face directly. With e-learning teaching and learning process becomes more interesting and can be done anywhere. The input used is the teacher uploading material and assignments / exercises. The process is students download the material and assignments / exercises. Output produced by students can see the value of the assignments / exercises being done. The design is done by making Unifield Modeling Language. The program is created using the PHP programming language with MySQL database. The results achieved in making e-learning is to facilitate the learning process without being bound by time and place. The conclusion with the existence of e-learning is to facilitate learning between teachers and students.
Loma Linda University Libraries: Citation Style Guide: Welcome

How to cite electronic documents in AMA, APA, MLA, and Chicago styles, plus links to further information on these style formats.
The Effect of Individual Knowledge Shared Training and Self-Efficacy on Mitigation Managerial Capability.

Increased preparedness is an essential element of pro-active disaster risk reduction management. Many factors affect the preparedness of adolescents in dealing with disaster management, including knowledge, attitudes, disaster preparedness training, and self-efficacy. The purpose of this study was to determine what factors influence the preparedness of adolescents to mitigation capability. Preparedness is a series of activities carried out to anticipate disasters through organizing and through appropriate and effective steps which are grouped into four parameters, namely knowledge and attitudes, emergency planning, warning systems and resource mobilization. This type of correlational research in this study uses a cross sectional approach. The population in this study was 620 people with a sample of 229 people. Sampling technique was conducted by using purposive sampling and cluster random sampling, the instrument is declared valid and reliable. Collecting data was by using questionnaires and statistical analysis using simple linear regression and multiple linear regression. The results showed that there was a significant effect of knowledge on preparedness (p-value =0.000), attitude towards preparedness (p-value, 0.000), training on preparedness (p-value= 0000), selfefficacy on preparedness (p-value, 0.000). In conclusion, there is an effect of knowledge, attitude, disaster preparedness training and self-efficacy on adolescent preparedness in dealing with disasters. It is hoped that the stakeholders will improve disaster preparedness by seeking more information related to disasters and being involved in disaster-related institutions or organizations.
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction

Self-Supervised Learning (SSL) has been shown to learn useful and information- preserving representations. Neural Networks (NNs) are widely applied, yet their weight space is still not fully understood. Therefore, we propose to use SSL to learn neural representations of the weights of populations of NNs. To that end, we introduce domain specific data augmentations and an adapted attention architecture. Our empirical evaluation demonstrates that self-supervised representation learning in this domain is able to recover diverse NN model characteristics. Further, we show that the proposed learned representations outperform prior work for predicting hyper-parameters, test accuracy, and generalization gap as well as transfer to out-of-distribution settings.
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning.

Visual-inertial systems rely on precise calibrations of both camera intrinsics and inter-sensor extrinsics, which typically require manually performing complex motions in front of a calibration target. In this work we present a novel approach to obtain favorable trajectories for visual-inertial system calibration, using model-based deep reinforcement learning. Our key contribution is to model the calibration process as a Markov decision process and then use model-based deep reinforcement learning with particle swarm optimization to establish a sequence of calibration trajectories to be performed by a robot arm. Our experiments show that while maintaining similar or shorter path lengths, the trajectories generated by our learned policy result in lower calibration errors compared to random or handcrafted trajectories.
LABOR PROTECTION IN THE INTEGRATED SECURITY SYSTEM OF THE EDUCATIONAL ORGANIZATION

The main directions of ensuring the integrated security of an educational organization are presented. The regulatory legal acts defining the requirements for ensuring the integrated security of the university are considered. The importance of labor protection in the integrated safety system of the university is shown. Recommendations have been prepared for the development of the necessary documents at the federal level.
Phenomenological and cosmological aspects of electroweak models beyond the standard model

The Standard Model of particle physics (SM) is the best theory that we have nowadays to understand nature. However, although it describes with high accuracy most phenomena we observe, there is evidence of physics beyond it which, supported by experimental observations, denote that the SM cannot be the ultimate theory and motivates us to seek for a theory that completes it:-The origin of neutrino masses and their nature. We will describe their status and introduce the main mechanisms behind their mass generation in Chap. 1, their connection between their nature and the lepton number will be discussed in Chap. 5, while also in that chapter and in Chap. 6 we will study their interplay with other open problems such as dark matter or Grand Unified Theories (GUTs). -The existence of dark matter (DM): DM will be introduced in Chap. 2, where two of the most appealing candidates will be presented: weak interacting massive particles and axions.-Matter-antimatter asymmetry: One of the conditions required for this asymmetry to occur in the evolution of the universe is the violation of baryon number. In Chap. 3 and 4 we will introduce theories where such condition can be understood.-The flavour B-anomalies: Puzzled by their possible origin, in Chap. 9 we perform a global fit to b to c transitions including as input the most updated values available. For that, we will adopt a bottom-up approach from an effective field theory point of view, presented in Chap. 8.-The symmetries of the SM: The three forces in the SM suggest a common origin at high energies. In Chap. 6, as well as in Chap. 7, we present minimal realistic alternatives to the original model and their interplay with other problems for the SM such as neutrino masses, the existence of DM and the strong CP problem. There are accidental symmetries in the SM such as baryon and lepton numbers, that could suggest a local symmetry behind them. Those will be discussed in Chap. 3. In there, we will show that, by gauging these symmetries, very appealing connections between neutrino masses and DM appear. We show that cosmology forces the upper bound of these theories to be at maximum at the multi-TeV scale, what makes their phenomenology testable at the current or near future stages of colliders or direct detection or indirect detection DM experiments, as we will shown in Chaps. 3, 4 and 5.-The strong CP problem: Axions will be discussed in Chap. 2 and their embedding in GUT theories in Chap. 7, where we will show that in their context the mass of the axion can be predicted.The aforementioned topics, as shown above, might be deeply connected. The aim of this thesis is to explore extensions of the SM motivated connecting the different open problems presented under the guidance of simplicity, predictivity, and testability, which define the compass that we will take in this thesis to explore beyond the SM territories.
Políticas y usos de las TIC en la educación antes y durante la contingencia sanitaria por Covid-19

The objective of this work is to present an analytical review of the educational policies that have been proposed over the years, this century, to address the inclusion of Information and Communication Technologies (ICT) in the educational field, and in parallel to analyze the way in which these policies have been adapted to the current emergency context, to continue with distance training processes, in which a response has been made to the educational needs of millions of students. It was found that ICTs have represented a window to innovate teaching processes and strategies, showing itself as a way to modify the roles of teachers and students. For this reason, its integration in educational projects becomes essential to achieve democratic forms of inclusion, equity and educational quality that meet the proposals of the international agenda. It is concluded that the current context has realized the need for the reform of educational policies, emphasizing the creation of strategies that allow meeting the educational needs in different contexts, guaranteeing access to education and the reduction of digital divides.
Secure Computation Systems for Confidential Data Analysis

Author(s): Poddar, Rishabh | Advisor(s): Popa, Raluca A | Abstract: A large number of services today are built around processing data that is collected from or shared by customers. While such services are typically able to protect the data when it is in transit or in storage using standard encryption protocols, they are unable to extend this protection to the data when it is being processed, making it vulnerable to breaches. This not only threatens data confidentiality in existing services, it also prevents customers from availing such services altogether for sensitive workloads, in that they are unwilling / unable to share their data out of privacy concerns, regulatory hurdles, or business competition.Existing solutions to this problem are unable to meet the requirements of advanced data analysis applications. Systems that are efficient do not provide strong enough security guarantees, and approaches with stronger security are often not efficient.To address this problem, the work in this dissertation develops new systems and protocols for securely computing on encrypted data, that attempt to bridge the gap between security and efficiency. We distill design principles based on the properties of the two primary approaches for secure computation—advanced cryptographic protocols and trusted execution environments. Informed by these principles, we design novel cryptographic protocols and algorithms with strong and provable security guarantees, using which we show how to build systems that are both secure and efficient.
Impact of non-linear distortion on learning based approaches for depth estimation

In this work, we evaluate the impact of non-linear distortion on learning based approaches for depth estimation. We use real wide angle images with locally increased resolutions to see how it compares with perspective images.
Ensaio de interação ou teste de usabilidade... afinal, do que estamos falando?

User trial 1 or usability testing… after all, what are we talking about?