Reviewerly/exHarmony huggingface dataset:
Skrämda vittnen - något nytt? - En analys av argumentationen och betydelsen av vittnens utsatthet i debatten om anonyma vittnen

The idea of a system which would allow anonymous witnesses in Sweden has received increasing media attention recently. One of the reasons is the serious gang criminality, and the threat to witnesses, which by many is assumed to be a result of that. Some of the debaters state or imply that they previously were opposed to the idea of anonymous witnesses but that the new situation with the gang criminality has changed their view.The thesis highlights and analyses the main arguments which have been presented in the public debate regarding the idea of anonymous witnesses. By examining the arguments validity, the circumstances that speak for and against anonymous witnesses is highlighted. The thesis also examines whether there is a bases in the argumentation for the view that an increased threat against witnesses would favor the idea of anonymous witnesses.The research shows that a lot of the arguments put forward in the debate lacks significance for the question of whether anonymous witnesses should be implemented. The research also shows that there is only a very weak bases, if any, in the argumentation, for the assumption that an increased threat to witnesses would favor an implementation of anonymous witnesses. The possible bases is not found in the argumentation presented by those debaters who appear to have change their stand point because of the gang criminality, but amongst the arguments which were meant to oppose an implementation.
Hardware-Aware Dataflow Exploration and Mapping of Convolutional Neural Networks

State-of-the art Convolutional Neural Networks (CNNs) can perform tasks such as image classification or voice recognition with high precision, at the expense of high computational complexity and energy requirements. Making a design focused only on a single aspect could result in a system which is unable to satisfy energy or latency requirements, critical in several applications such as autonomous driving. This emphasizes the need for taking both the hardware specific requirements into consideration for a given application scenario. For highly-parallel processor architectures, this work provides two methods of design space exploration in the context of task-to-processor mapping, aiming to find the optimal resource binding strategy for a given network and hardware architecture, in a reasonable time. The first method is applied to two different algorithms, which are strided convolution and General Matrix Multiplication (GEMM). A detailed analysis of the first algorithm was carried out, which included the most common dataflows (DFs) with the addition of two new ones. For GEMM based convolution, three possible dataflows were formalized and implemented, which have not been described in literature to the best of our knowledge. Both the algorithms are mapped for a target energy, latency or a trade-off by analyzing the dataflows. The second method, which was only applied to strided convolution, explores the configurations of all loops to consider each possible DF, thereby covering a larger solution space. Following validation against state-of-the-art frameworks, the tool was used for design space exploration by changing the hardware configurations, algorithms and dataflows.
Warning from ICT – phishing and scam emails

We have seen an increase in the number of phishing and scam emails being received by RBBC staff.
Retina Image and Bat-Inspird Algorithm for Artificial Key Generation

The process of key generation is utilized in different applications based on encryption techniques.The characteristics of the generated key should satisfy the required security as potential.The traditional techniques used for generating keys are based on various equations based on chaos maps or modulation for making these keys as one-time pads.Also, there are many techniques that utilized the block cipher or hash function for generating keys.In this paper, a retina image and bat-inspired algorithm are used for generating secure keys.Several processes have been applied to the input retina images like enhancement and edge detection processes.In the proposed technique, some parameters are adjusted for controlling the results and every output represents a bat solution and depending on the fitness function, the keys are generated.These generated keys are tested and evaluated using NIST tests.As a case study, some images are encrypted using the generated keys and the obtained encrypted images passed all the required security tests.
Blockchain Technology and How It Will Affect Accounting in the Future

Rapid technology development nowadays brings out a major impact for many professions in the world.This phenomenon often called industrial revolution 4.0.This industrial revolution demand automation in various sectors, including in economic and financial sectors.In the financial sector, there is blockchain technology which becomes the basis technology of cryptocurrency and smart contract.This development could also affect the accounting profession, which required to follow technology development in the future.From this case, writers will discuss strength, weakness, opportunity, and the threat from the blockchain system and smart contract for accounting in the future.There will be a high demand for the blockchain system for companies since this technology make the transaction process could be more efficient, faster and secure.The research methodology that the writers use in this research is inductive reasoning with the qualitative method.The way data collected is using literature studies by using SWOT analysis framework.
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A lot has changed since the release year of the Oregon Trail - gaming graphics have definitely become better, and just about everyone can code a game on ...
Effect of Foreign Aid on Human Development in Sub-Saharan Africa:A System GMM Approach

Using data for 47 SSA countries from 2000 to 2016, the study examined the effect of foreign aid on human development in SSA by employing the System-GMM approach, which is specifically applicable to the present case. Results revealed that aid did not affect human development in SSA, whereas, corruption was found to reduce HDI, while trade openness improved it. Validity of results was confirmed by the Arellano-Bond test for autocorrelation in the disturbance term and the Hansen and Sargan tests for the validity of instrumental variables. The study recommended effective framework for utilization of foreign aid and reduction of corruption.
The effect of hierarchical management on the early activity of ICU patients with severe pneumonia

ObjectiveTo explore the effect of hierarchical management on the early activity of severe pneumonia patients in intensive care unit (ICU).MethodsA total of 100 patients with severe pneumonia in ICU admitted to Guangdong Agricultural Cultivation Central Hospital from June 2017 to May 2018 were selected. The patients were divided into observation group and control group with 50 patients in each group according to the odd and even number of inpatient beds.The control group used routine methods to judge the patients' activity ability and perform routine activities on a daily basis.The observation group divided the activity ability of ICU patients into levels A, B, C, and D according to the factors affecting the early activities of ICU patients with severe pneumonia, and developed the corresponding level of activity programs. By daily assessment of the level of patients, the corresponding activity programs were adopted for activities.The Barthel index was used to judge the activity ability of daily life, and the differences between the two groups were compared.Meanwhile, the use time of ventilator, blood oxygen saturation at the time of discharge, average length of stay in ICU, and patients' satisfaction with nursing work were compared between the two groups.ResultsThere was no significant difference in Barthel index score between the two groups(P>0.05). There was a statistically significant difference between the Barthel index score at the time of discharge and that at the time of admission(P<0.05). The duration of ventilator use and average length of stay in ICU in the observation group were significantly shorter than those in the control group, blood oxygen saturation was significantly better than that in the control group, and nursing work satisfaction was significantly higher than that in the control group, with statistically significant differences(P<0.05).ConclusionsThe implementation of hierarchical management can further improve the daily living ability of ICU patients with severe pneumonia, accelerate the recovery process of patients, and improve the treatment effect and nursing satisfaction of patients.Key words: Hierarchical management; Severe pneumonia in ICU; Average length of stay in ICU; Nursing
Mobile application for conference organising

The mobile app has been developed for 2 platforms (Android and iOS). Mobile app has designed for organising conference, commercial and other events. Mobile app allows for participants to create personal schedule, exchange contacts and get organiser notifications.
Self-Management of Students in the Conditions of Vocational Training

This study is devoted to the problem of self-management development in conditions of their vocational training in the university. The high level of qualification of graduates of domestic universities depends on the created organizational-pedagogical conditions of optimization of educational and independent work of students. The group of technologies, called self-management, has a great potential for the development of management skills of educational and independent work in the daily life of students. Recently, the researches on the application of self-management technology in various sectors of activity are actively conducted. The technology of self-management in the educational institution is based on already known researches, in particular on general concepts of self-management, both foreign and domestic. At the same time, self-management in the educational organization has specific features. The research purpose is consisted in the scientific-theoretical substantiation of the role of self-management in the daily live of students; in the definition of the concept of self-management of students; in the description of its structure and content based on analysis of psychological-pedagogical literature. The scientific novelty of this work consists in the determination of self-management in the daily life of students in the conditions of vocational training in the higher educational institution as the integrated system o for managing themselves and their activities, including assessment of efficiency, technology, strategy and philosophy. The process of mastering self-management, managerial skills, managerial competence is the integral component of the general culture of the personality at the specialist of any specialty.
Joseph R. Skeen Library & OSL: Using Google Scholar and Skeen Library's Resources: Step 2: Locate Library Resources

Google Scholar can be easily configured to show you which of the search results are available from Skeen Library. Once you've configured your browser with the steps below, just look for the Find full text at NMT link. How to locate library resources in Google Scholar
Multi-Strategy system for translation inference across dictionaries

This paper describes four different strategies proposed to the TIAD 2020 Shared Task for automatic translation inference across dictionaries. The proposed strategies are based on the analysis of Apertium RDF graph, taking advantage of characteristics such as translation using multiple paths, synonyms and similarities between lexical entries from different lexicons and cardinality of possible translations through the graph. The four strategies were trained and validated on the Apertium RDF EN ES dictionary, showing promising results. Finally, the strategies, applied together, obtained an F-measure of 0.43 in the task of inferring the dictionaries proposed in the shared task, ranking thus third with respect to the other new systems presented to the TIAD 2020 Shared Task. No system presented to the shared task exceeded the baseline proposed by the TIAD organizers.
Cryptocurrencies : Threats and Applications from a Monetary Economic Perspective

Over the last years, cryptocurrencies gained attention from all over the world. However, one of the main reasons for their popularity, namely their independence from central banks and politics, might similarly impose severe threats to the financial system. The aim of this paper is to consider cryptocurrencies from a monetary economic standpoint by assessing what sets them apart from fiat money and why they might impose risks on existing financial systems and players. Based on that, we assess their current and potential application in practice by observing their traits as investment object, their ability to act as a safe haven and as a medium of exchange in cross-border trade from a traditional monetary economic point of view. Finally, this paper analyzes whether cryptocurrencies could serve as money in a traditional sense, hurdles they needed to take and potential implications of their implementation. Based on our assessment, their current functioning as currency in a traditional sense is still very limited so far, whereas regulatory forces will closely monitor and attempt to prevent unwanted developments. Consequently, their most promising field of application rather lies in other areas of application, especially in cross-border trade, as their unique characteristic bringing considerable potentials for saving intermediary and exchange costs. However, if States and Central Banks are capable of maintaining and improving all functionalities of fiat money, to keep it transparent, stable and technically up-to-date and to meet the demand of publicity, the desire to hold cryptocurrencies as alternative currencies might become obsolete.
Consensus Ranking for Increasing Mean Average Precision in Keyword Spotting

Word spotting use a query word image to find any instances of that word among document images. The obtained list of words is ranked according to similarity to the query word. Ideally, any false pos ...
ROBOREBECA: A NEWFRAMEWORK TO DESIGN VERIFIED ROS-BASED ROBOTIC PROGRAMS

Robotic technology helps humans in different areas such as manufacturing, health care and educa-tion. Due to the ubiquitous revolution, today’s focus is on mobile robots and their applications in a ...
Credit card fraud detection using random forest and isolation forest algorithms

The project is mainly focussed on credit card fraud detection in the real world. The phenomenal growth in the number of credit card transactions has recently led to a considerable rise in fraudulent activities. The purpose is to obtain goods without paying or to obtain unauthorized funds from an account. As the usage of credit cards is increasing more, the chances of credit card frauds are also increasing dramatically. The credit card system is most vulnerable to fraud. These credit card frauds cost financial companies and consumers a very huge amount of money annually, fraudsters always try to find new methods and tricks to commit these illegal and outlaw actions. Online transaction fraud detection is the most challenging issue for banks and financial companies. So it is essential for banks and financial companies to have efficient fraud detection systems to reduce their losses due to these credit card fraud transactions. Various approaches have been found by many researchers to date to detect these frauds and to reduce them. Comparison of Local Outlier Factor and Isolation Factor algorithms using python and their detailed experimental results are proposed in this paper. After the analysis of the dataset we got the accuracy of 99% by random forest and 76% by Isolation Forest.
Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries

This paper describes the participation of two different approaches in the 3rd Translation Inference Across Dictionaries (TIAD 2020) shared task. The aim of the task is to automatically generate new bilingual dictionaries from existing ones. To that end, we essayed two different types of techniques: based on graph exploration on the one hand and, on the other hand, based on cross-lingual word embeddings. The task evaluation results show that graph exploration is very effective, accomplishing relatively high precision and recall values in comparison with the other participating systems, while cross-lingual embeddings reaches high precision but smaller recall.
Towards Meaningful Software Metrics Aggregation.

Aggregation of software metrics is a challenging task, it is even more complex when it comes to considering weights to indicate the relative importance of software metrics. These weights are mostly ...
LibGuides: Return to Campus: Library Services and Policies: Interlibrary Loan

An overview of the services available to UAH students, faculty, and staff during the Covid-19 pandemic. An overview of using Interlibrary Loan during the Covid-19 pandemic.
LibGuides: Summer Reading .... In Person AND Virtually 2021: Summer Reading Kickoff videos!

So you find yourself unable to hold your traditional summer reading program. Here are some ideas that you can use These presentation are all FREE to use on your Library's social media sites.
Reaping the space investment

By 1999 operational space systems will be implemented routinely on a worldwide scale in many areas vital to human survival and life quality. Geosynchronous-based monitoring and observation will be extensively used. The Shuttle era will bring in the capability to allow monitoring and identifying pollution sources which fail to stay within required limits. Remotely sensed data over land masses will provide needed facts on renewable and nonrenewable earth resources. New instruments and techniques will have been developed to provide geologists with clues to the declining number of deposits of fuels and minerals. Also, practical methods for predicting earthquakes will have been elaborated by 1999. Communications will see implementation of many of the technological goals of 1978.
Золотоносность Камчатского срединного массива

The gold mineralization of the Kamchatka median massif has been analyzed. It has been shown that within its lim-its, the ore mineralization of low-sulphide gold-quartz and gold-sulfide-quartz formations and also placers, formed on the base of this mineralization are widely developed. A significant role is played also by the ore occurrences of the gold-copper-molybdenum-porphyry formation, prospecting for the discovery of large deposits with complex ores. Gold in the form of associated component is also presented in the ores of the Shanuch deposit and manifestations of the sulfide copper-nickel formation. Three stages of ore formation have been identified: late Cretaceous, Eocene and Miocene. In the late Cretaceous stage mineralization of gold-quartz and gold-sulfide-quartz formation was formed, in the Eocene — sulfide copper-nickel one, and in the Miocene — gold-copper-molybdenum-porphyry one. The pros-pects of gold mineralization of the median massif has been defined.
LibGuides: Summer Reading .... In Person AND Virtually 2021: How to do a Facebook Live on the Event Page

So you find yourself unable to hold your traditional summer reading program. Here are some ideas that you can use
Libraries: Indexing your Journal: Basic Journal Information

This Guide will provide basic guidelines for indexing your in some of the most common directories and databases. Understanding the first batch of questions in the DOAJ application
LibGuides: APA Referencing (APA 7th edition): Social media (Facebook, Blogs and more)

This guide shows students and staff how to reference using the APA Referencing style. Blogs, Facebook, Instagram, Twitter - and information on how to adapt these to reference other social medial platforms
A Spatio-Temporal based Frame Indexing Algorithm for QoS Improvement in Live Low-Motion Video Streaming

Real-time video life streaming of events over a network continued to gain more popularity among the populace. However, there is need to ensure the judicious utilization of allocated bandwidth without compromising the Quality of Service (QoS) of the system. In this regard, this paper presents an approach based on spatio-temporal frame indexing that detects and eliminate redundancy within and across captured frame, prior transmission from the server to clients. The standard and local low motion videos were the two scenarios considered in evaluating the performance of the proposed algorithm. Results obtained showed that the proposed approach achieved an improvement of 5.13%, 15.8% and 5%, 15.6% improvement in terms of the buffer size and compression ratio. Though with a tradeoff of the frame-built time, where both the standard and local frame indexing outperforms the proposed scheme with 10.8% and 8.71% respectively
PENGARUH PENERAPAN MODEL PEMBELAJARAN INOVATIF PICTURE AND PICTURE TERHADAP MINAT DAN HASIL BELAJAR IPS SISWA KELAS V SDN 1 LALEBBATA KOTA PALOPO

This study aims to: To find out: 1. The influence of the application of the Picture and Picture Innovative learning model on the interest in learning social studies subjects of Class V SDN 1 Lalebbata Palopo City. 1. Influence of the application of Innovative Picture and Picture learning models on the learning outcomes of Social Studies students of Grade V SDN 1 Lalebbata Palopo.This research is a quantitative type of experimental research, with a research design with treatment through preetes and posttes. The study population was 100 class V students. The sample of this study were 68 students. The results showed that: Based on the results of the calculation of the Independent Samples Test students' interest in learning social studies in the out put obtained the value of Sig. (2-tailed) of 0.002 <0.05, it can be concluded that there is a difference between the average student learning interest between control groups and experiment. The results of the calculation of Independent Samples Test results of students' social studies learning in Table 4.5, the out put obtained the Sig. (2-tailed) value of 0.000 <0.05, then according to the basis of decision making in the indevendent test Sample T-test can be concluded that there is a difference between the average learning outcomes of control and experimental groups Keywords : Innovative Picture and Picture learning model, interest, learning Result
SEARCHER: Shared Embedding Architecture for Effective Retrieval

We describe an approach to cross lingual information retrieval that does not rely on explicit translation of either document or query terms. Instead, both queries and documents are mapped into a shared embedding space where retrieval is performed. We discuss potential advantages of the approach in handling polysemy and synonymy. We present a method for training the model, and give details of the model implementation. We present experimental results for two cases: Somali-English and Bulgarian-English CLIR.
TOCP: A Dataset for Chinese Profanity Processing

This paper introduced TOCP, a larger dataset of Chinese profanity. This dataset contains natural sentences collected from social media sites, the profane expressions appearing in the sentences, and their rephrasing suggestions which preserve their meanings in a less offensive way. We proposed several baseline systems using neural network models to test this benchmark. We trained embedding models on a profanity-related dataset and proposed several profanity-related features. Our baseline systems achieved an F1-score of 86.37% in profanity detection and an accuracy of 77.32% in profanity rephrasing.