Reviewerly/exHarmony huggingface dataset:
Navigating Challenges of Multilingual Resource Development for Under-Resourced Languages: The Case of the African Wordnet Project

Creating a new wordnet is by no means a trivial task and when the target language is under-resourced as is the case for the languages currently included in the multilingual African Wordnet (AfWN), developers need to rely heavily on human expertise. During the different phases of development of the AfWN, we incorporated various methods of fast-tracking to ease the tedious and time-consuming work. Some methods have proven effective while others seem to have little positive impact on the work rate. As in the case of many other under-resourced languages, the expand model was implemented throughout, thus depending on English source data such as the English Princeton Wordnet (PWN) which is then translated into the target language with the assumption that the new language shares an underlying structure with the PWN. The paper discusses some problems encountered along the way and points out various possibilities of (semi) automated quality assurance measures and further refinement of the AfWN to ensure accelerated growth. In this paper we aim to highlight some of the lessons learnt from hands-on experience in order to facilitate similar projects, in particular for languages from other African countries.
Twake is a collaborative platform which improves ...

Twake is a collaborative platform which improves teamworkhttps://twake.app#collaboration #tool #teamwork #chat #file-sharing #drive #kanban #kanban-board #calendar
Live to learn: learning rules-based artificial neural network

&lt;span&gt;An extensive review of the artificial neural network (ANN) is presented in this paper. Previous studies review the artificial neural network (ANN) based on the approaches (algorithms) used or based on the types of the artificial neural network (ANN). The presented paper reviews the ANN based on the goal of the ANN (methods, and layers), which become the main objective of this paper. As a famous artificial intelligent model, ANN mimics the human nervous system in handling the information transmited by different nodes (also known as neurons) in this model. These nodes are stacked in layers and work collectively to bring about solution to complex problems. Numerous structures exist for ANN and each of these structures is designed to addressa a specific task. Basically, the ANN architecture is comprised of 3 different layers wherein the first layer rpresents the input layer that consist of several input nodes that represent the input parameterfor the model. The hidden layer is te second layer and consists of a hidden layer of neurons. The neurons in this layer are directly connected to the neurons in the output layer. The third layer is the output layer which is the models’ response layer. The output layer neurons have the activation functions for the calculation of the ANN final output. The connection between the nodes in the ANN model is mediated by synaptic weights. This paper is a comprehensive study of ANN models and their layers.&lt;/span&gt;
Open Access and the Library

"Open Access and the Library." Journal of the Australian Library and Information Association, 69(3), pp. 417–418
5PM and DoC - Formal Models for Game Design

A formal language for game design is an endeavor many academics and industry personalities have been tackling since the mid-nineties. One of the most renowned formal models for game design, the MDA Framework, includes steps to delimit and conceptualize the experience with a top-down approach. There is, however, a significant lack of high detail models for mechanic construction as well as difficulty balancing.&#x0D; In this paper we propose two formal models for novice designers. The 5-Part-Model (5PM) for building and diagnosing game mechanics, and the Dimensions of Challenge (DoC) formal model for balancing and fine-tuning difficulty in games.
Diagnostic accuracy of frozen section in detecting malignant brain tumors taking histopathology as gold standard.

Objectives: To evaluate the diagnostic accuracy of frozen section in detecting malignant gliomas, taking histopathology as gold standard. Study Design: Cross-Sectional study. Setting: Neurosurgery Department, Aga Khan University Hospital, Karachi. Period: From March 2018 to Jan 2019. Material &amp; Methods: Through consecutive sampling technique, total 100 specimens from patients suspected of malignant gliomas on MRI brain with contrast, who were admitted in the neurosurgery department for elective tumor surgery were included. Intraoperatively, the specimen from the lesion identified on imaging through neuro-navigation was taken and sent to histopathology department for frozen section analysis. The histopathology consultant was pre-informed about the case and probable time of receiving the specimen. The specimen for frozen section was sent in a dried container without formalin. Once received in pathology department, the tissue is rapidly cooled through a cryostat which converts tissue water into the ice and makes the tissue rigid for cutting into slices and viewing under the microscope for identifying the neoplastic tissue. The consultant histopathologist was request to provide frozen section report immediately and to keep the remaining specimen for definitive histopathology reporting as well. Data of malignancy on both Frozen Section and formal histopathology report was noted and comparison was done. Results: Mean age of the patients was 36.7±8.76 years. There were 64 (64%) male patients and 36 (36%) female patients. Diagnostic accuracy of frozen section taking histopathology as a gold standard shows that sensitivity was found to be 83.3%, specificity 84.4%, Positive predictive value (PPV) 71.4% and negative predictive value (NPV) 91.5% &amp; Overall diagnosis accuracy was found 96.6%. Conclusion: The Diagnostic accuracy of frozen section (FS) in detection of brain malignant gliomas was found to be satisfactory. It has a diagnostic accuracy of 96.9%, sensitivity 83.3%, specificity 84.4%, Positive predictive value (PPV) 71.4% and negative predictive value (NPV) 91.5%.
LibGuides: Piano: ALLIES

This is a library guide for students of piano. This page will tell you how to request a book from another library.
LibGuides: Library Hours: Home

Hours of operation for the Library Services and Research Help Desks and Faculty of Education Curriculum Laboratory.
Breast Cancer Classification: Comparison of Bayesian Networks, Multilayer Perceptron, and Boosting Method

Cancer is a dangerous disease that should not be underestimated.The early stages of this disease are often asymptomatic.Early detection of cancer is an important examination so that the disease does not develop into a serious and dangerous disease.This study detected the presence of cancer through five predictors.This study classified the diagnosis results based on five indicators namely radius, texture, perimeter, area, and smoothness.By using these five indicators, the detection was carried out through a classification mechanism using the boosting method.The result had obtained an accuracy of 93.67%.The accuracy was higher than other classification methods such as Bayesian Networks and multilayer Perceptron.Both of them only obtained an accuracy of 89.63%, and 92.79%, respectively.It showed that the ensemble method mechanism of boosting had proven to be more effective in classifying the presence or absence of breast cancer.
PENGARUH PEMBELAJARAN INOVATIF TERHADAP HASIL BELAJAR BAHASA INGGRIS SISWA KELAS VIIIB1 SMP NEGERI 2 GEROKGAK DENGAN PENGENDALIAN KECERDASAN LINGUISTIK

The main objective of the present study is to investigate the effect of implementing innovative learning approaches upon English students’ achievement. The study was quasi experimental study using the post-test only control group design involving 35 students altogether selected using census sampling technique. The instrument which is used to gather data in the study was test. There were two tests used to gather intended data. They were linguistic test and student achievement test. The obtained data were analyzed statistically using descriptive and inferential analysis. The analysis of covariance was conducted to test the hypotheses.
COMPUTATIONAL FLUID DYNAMICS BASED DESIGN AND ANALYSIS OF HYDROFOIL

A hydrofoil is an upset which goes in water. As a hydrofoil-sorted out watercraft increases in pace, the hydrofoil added substances underneath the shape create adequate convey to lift the body up and out of the water. This results in an incredible decreasing in body drag, and a comparably addressing augmentation in pace and productiveness in activity concerning fuel usage. The defeat is formed to ship easily through the water causing the flow to be redirected plunging which as in sync with Newton's Third Law of Motion applies an upward power at the impede. This turning of the water reasons better weight on the base and reduced load on the best factor of the upset. This weight distinction is gotten together with the guide of utilizing a pace contrast, by method of Bernoulli's norm, so the accompanying dissemination subject roughly the frustrate has a superior customary pace on one aspect than the other. In this hypothesis, a hydrofoil is set up in 3-d indicating programming Pro/Engineer. 2D floor styles of the hydrofoil are finished with the guide of utilizing changing over the procedure 30, 40, - 100, and - 100 fifty for CFD test. CFD research is performed at the hydrofoil to decide weight, pace, mass course rate. 3-d form of the hydrofoil is performed to do a helper test with the guide of utilizing loads were given from CFD examination. CFD and Structural examination is acted in Ansysmodeling programmin.
Secure Data Sharing in Cloud Computing

Cloud computing provides convenient way in real time data sharing. Identification based encryption has been used in the data sharing. The data has to be traversed form one end to other end and in secured way or path. The structured and also the unstructured data will be generated every second in the real time by the multiple users and hence managing is important as it can be of many type of data like business, government media etc . A revocable-storage identity-based encryption (RS-IBE); has been proposed in the forward and the backward security for the cipher text which will update simultaneously. The implementation will give the results of proposed scheme for the implementation of data security in practicability.
Analysis on Learning Styles and Preferred Teaching Methods of General Chinese Language Learners in College

The characteristic of general Chinese language is that the students with various individual characteristics such as major, grade, and personality are learning together in the same classroom. Thus, for the effective Chinese language education, it would be more important to understand the learners than Chinese course as a major.BR Also, in the various individual characteristics of learners, the learning style is one of the main characteristics that should be understood by professors because the learning style could have influences on the academic achievement and satisfaction in the connection with students’ preferred teaching methods and educational activities.BR Thus, this thesis understood the learning styles and preferred teaching methods of general Chinese language learners, and then analyzed the correlation between those two factors. Especially, to the professors who teach general Chinese language, the major and sex are the characteristics of learners that could be understood the most easily, so that the analysis focused on those two variables.
A Cooperative Script Learning Method Application Assisted By Interactive Multimedia To Improve Students‘ Cognitive Aspect Of 10th Grade At Vocational High School

The background of this research is due to problems in learning computer systems at school.The purpose is to find out the improvement of students' cognitive aspects by applying a cooperative script method assisted by interactive multimedia on the subject of the computer system.The method used is an experimental method with a quasi-experimental form.The research design used is a nonequivalent control group design.Before conducting the research, the multimedia was validated first by the expert of material and the expert of multimedia.Based on the data processing, the result are 1) the improvement of the cognitive aspect in a control class has a gain index 0.37, while in the experiment class is 0.78.2) The multimedia has a good response from the students and reached the percentage of 78.51%.
Detection of High-Organic-Carbon Features in Sediments by Direct-Push Color Logging

&amp;lt;p&amp;gt;A biogeochemical site characterization aims at delineating zones of reducing and oxidizing conditions in the subsurface to infer their influence on solute and contaminant turnover processes along groundwater flow paths. Hereby, large values of the total organic carbon (TOC) content mark reducing conditions in soils and sediments. Dark sediment colors are good predictors for high-TOC zones and thus indicate hotspots of biogeochemical turnover and microbial activity. Traditionally, obtaining the sediment color requires costly sampling, resulting in poor horizontal resolution and related uncertainty caused by interpolation. We suggest using a direct-push soil color optical screening tool to acquire multiple high-resolution vertical color profiles and demonstrate its applicability in floodplain sediments down to 12 m depth. We use Gaussian mixture models for a cluster analysis of the color logs in the CIE L*a*b* color space to identify color-facies, determine facies-specific relationships between the L*a*b* color-values and the TOC content of the sediments, and to construct the 3-D distributions of three distinct facies and organic matter. Direct-push color-logging may also be used for in-situ mapping of redox-zonation, iron content, or sedimentary structures.&amp;lt;/p&amp;gt;
PENERAPAN METODE TGT (TEAM GAME TOURNAMENT) MENINGKATKAN HASIL BELAJAR BAHASA INGGRIS PADA SISWA KELAS VIII DI SMP NEGERI 1 BANDAR BARU

This study aims to determine the increase in learning motivation which in turn will improve student learning outcomes in learning Class VIII English with the application of TGT (Team Game Tournament) on the self-test unit material at Bandar Baru 1 Junior High School, second semester 2015/2016 academic year .This type of research includes action research. The subjects of this study were Class VIII students at SMP Negeri 1 Bandar Baru. The results of this study indicate: Through the results of classroom action research at SMP Negeri 1 Bandar Baru there was an increase in learning motivation, namely in the first cycle the average was 68.10 while in the second cycle was 80.00. Before learning with the TGT (Team Game Tournament) Method, the student score is 60.71. In the first cycle, the results of student evaluations in the eyes of English Language Subjects The self-test unit gets an average score of 70.00, while in the second cycle it gets an average score of 80.00. From the study there was an increase in learning completeness as much as in the first cycle of 33% and in the second cycle by 95%. Thus, it can be concluded that the implementation of classroom action research through the TGT (Team Game Tournament) Method of learning English in the material The self-test unit can increase learning motivation which by itself can improve learning outcomes for Class VIII students at SMP Negeri 1 Bandar Baru.&#x0D; &#x0D; Keywords: TGT Method (Game Tournament Team), Learning Outcomes
A South African Legal Perspective on the Regulation of Net Neutrality and Its Implications for Cyber-Security and Cyber-Warfare

With the approval of Articles 11 and 13 in Europe, net neutrality has become a contentious issue globally. These articles refer to European Union (EU) copyright law, which could possibly destroy the freedom of the internet that once existed. Throughout Europe it has become known as the “meme ban,” referring to the censorship elements. While there is much opposition to these articles, its supporters consider it necessary for the preservation for creative works online. Opposition to the legislation, which includes certain websites and internet presences, remains of the opinion that these two pieces of legislation will mean an end to “meme culture and user-generated content.” Along with the limitation to the freedom of the internet, cyber-security and cyber-warfare risks and vulnerabilities are imminent. This paper seeks to provide an in-depth discussion on the implications of neutrality on cyber-security and cyber-warfare.
RESEARCH ON THE EFFECTIVENESS OF TRAINING TECHNOLOGIES’ IMPLEMENTATION IN STUDENT THEATER

The purpose of the research is to determine the effectiveness of implementation and the feasibility of using training technologies in student theater. Research methodology consisted of aesthetic, artistic and theatrical, psychological and pedagogical ideas, theories about the role of art of student theater. The expediency of training technologies’ implementation of teaching as an effective practical tool of theatrical pedagogy in order to develop the stage-pedagogical action and to increase the artistic-pedagogical level of future teachers has been proved. The author's system of use and interaction of training technologies of teaching in the student theater is presented. It is stated that the successful educational process of student theater is ensured by the active use of theatrical-training technologies that develop the student's personality, his stage-pedagogical action. It is established that the implementation of training technologies in the activities of the student theater significantly complements the traditional educational and professional training of specialists and affects the psychological content parameters of their motivational sphere (p≤.05; p≤.01). It is substantiated that the use of training technologies allows to develop the psychophysical apparatus of the teacher, his communicative, kinesthetic and spatial-organizational actions and to increase the level of artistic and pedagogical activity.
Exploring teachers' views on high-stakes language assessment reforms: The case of TEM8

In 2016, the Test for English Majors Grade 8 (hereafter TEM8) underwent the third major reform in its history. Adopting a mixed-method design, this study aims to explore how English teachers viewed the new TEM8 and the relevant reform measures. Results indicated that English teachers had generally positive views on the new TEM8 and the reform measures, and their backgrounds did not affect their views. Findings of this research have significant implications for the future development of TEM8, as well as for the reforms of other high-stakes language assessments in China and beyond.
Medical Images Compression and Decompression Using Neural Networks

In Emergency situations medical images of different types have to be transferred from one place to another place and the images with larger size are difficult totransfer because they are time consuming and occupies more storage. So we need image compression and decompression so that the medical images can be easily transferred and by using lossless image compression we can get the original data without any loses at receiver side .Image compression can be made possible by using normal forward transform techniques. But we cannot load multiple images at a time. So here we are using Support Vector Machine Neural network technique for image compression through which we can load multiple images which reduces the transmission time.
Based on the Study of the Strategy of Drumming and Bouncing the Ball with Minimum Work

The study on the strategy of bouncing a ball with a drum provides a reference for future artificial intelligence in this regard. Firstly, the model was hypothesized, and the minimum work was associated with the minimum energy required to bounce the ball. In the ideal state, the strategy was studied to obtain the relationship between tension and rope length and falling height, as well as the time point of generating force. In combination with the theory of hook stock quantification and oblique throwing, the strategic improvement of the ball and the drum was studied in reality, and the optimal falling height of the ball in order to fall on the drum surface and the displacement interval of the drum in order to catch the ball were obtained in the process of a bounce.
Research Guides: Dissertations or Theses in SOAR at USI: Using Others' Content

Information about submitting your electronic thesis or dissertation (ETD) in the Scholarly Open Access Repository (SOAR) at USI.
Hate speech under International and National Laws: a comparative analysis from Islamic Law perspective

Hate speech and expression is considered as one of the burning issues of the current socio-political world. The approaches of international and national laws are generally different from Islamic law in the subject. The formal laws commonly provide infinitive freedom while Islamic law wants some limits up on it. In other words, international and national laws represent unbounded freedom of speech with nominal legal restrictions whereas Islamic concept of freedom of expression has various moral and legal bindings based on divine ethics to protect freedom of expression and individual rights and not to curb the acts of civil and religious defamation. Hence, the legal constraints in international and national laws are insufficient because they legalese unlimited freedom of speech and their legal restrictions are also either partial or nonexistent. This article is a comparative desiccation which examines international, national and Islamic laws to protect people from hate speech and expression. The study follows qualitative approach to discuss the issues and analyses data. Basically, secondary resources are used in this paper, thus information has been taken from articles, book, newspapers, case laws and status. This study finds that the freedom of speech and expression is a fundamental human right which must be achieved through certain essential objectives like disclosure of truth and the honour of human beings.
Stable Polarization Entanglement based Quantum Key Distribution over Metropolitan Fibre Network

Quantum key distribution with O-band polarization-entangled photons over deployed telecom fiber network is demonstrated. Liquid-crystal retarders are used to compensate for fiber birefringence induced errors and ensure stable operation.
Active Stereo Vision for Precise Autonomous Vehicle Control

This paper describes the development of a low-cost, lowpower, accurate sensor designed for precise, feedback control of an autonomous vehicle to a hitch. The solution that has been developed uses an active stereo vision system, combining classical stereo vision with a low cost, low power laser speckle projection system, which solves the correspondence problem experienced by classic stereo vision sensors. A third camera is added to the sensor for texture mapping. A model test of the hitching problem was developed using an RC car and a target to represent a hitch. A control system is implemented to precisely control the vehicle to the hitch. The system can successfully control the vehicle from within 35&#xB0; of perpendicular to the hitch, to a final position with an overall standard deviation of 3.0 m m of lateral error and 1.5&#xB0; of angular error.