Reviewerly/exHarmony huggingface dataset:
Implementing Online Food management System

What is a restaurant, it is a place where , Everyone goes to enjoy themselves, but in the modern era of the world these have changed a lot ,now usually there are apps and web based system that provides the services .In this changing era of the world we need to adapt to the new upcoming demands and to cope with that we have to build such a relation in form of always medium which can help and make our customers with us. In accordance to that web based food management system has been introduced which not only help in dealing with clients but  also deals with main owner side by using technology as an agent to carry that forwardIn the development side world of this modern era the whole world has come to a side where he is actually a means to become a major part in the industry, to use the user or client as a way of interface is our most important aspect of building this projectOur focus is to make a project in which from ordering to delivering at home, a customer could do various task in just a minutes of time ,the customer has to find his own uniqueness and can create his day of food without any delay or error in the work, our work will not only help the customers but also will be helpful to the owner side as he could have records, multiple storage area and other kind of the material, so to conclude our project focus on overall development of the food to client industry
Proving Rural and Urban Telemedicine with Improved Diacom Image Compression Using EXI Mechanism

Digital Imaging and Communication (Diacom) is a medical image format used in telemedicine. Telemedicine is the core of the modern age. A physician in one area uses a telecommunications device to provide a patient with treatment at a distant site. It's a substitute horizon that the globe publicly pays attention to. Throughout telemedicine sessions, access to personal patient health records and health trackers is on the market, helping you diagnose and efficiently manage patients. It is the main task to reduce each measure of storage and transmission data required for communication. Diacom Image Compression (DIC) is primarily based on the new Efficient Extensible Interchange (EXI) mechanism to realize this goal. Efficient Extensible Interchange is a very lightweight, high-performance XML representation that was designed to function well in a wide variety of applications. It boosts performance while slashing bandwidth requirements, all while preserving other resources including battery life, code size, computing power, and memory. The proposed work focuses on advance compression methodology for patient’s historical data, electronic medical records of clinical information, and diagnostic test record. The results of the simulation recommends that the outcome of the proposed mechanism is better than the current approach. The present work compares the proposed methods with existing methodology and experimental analysis depicts that EXI based compression methodology is far better than traditional SVD compression methodology.
SERVE : MARKETPLACE FOR SERVICES

Since the beginning of time, the best way for a service provider to become successful is to master a skill. The rules were simple - provide a good service and consumers will come. But today, things started to change. To attract consumers, service providers need to be good atenterprising, building connections, using social media, creating ad content and the list goes on. Serve is created to make things simple again, by providing a service marketplace to introduce them to their potential consumers. The way Serve works is service providers will tell about their service. When consumers use Serve for hiring, they will provide specifications of theirneeds, and Serve will match the right service providers for them. For service providers, Serve features an efficient tool for creating a winning service profile. To get reached by consumers to wishes to hire them, Serve enables consumers to send a quote request and provide details of service specifications and demands. For consumers, Serve features a user-friendly interfacethat provides limitless listing of service providers for them to browse and compare services.
Africa’s female entrepreneurs – towards funding success

Opportunities for well-paid employment for women are scarce in many African countries. Entrepreneurship is therefore one way in which women can earn a decent livelihood for themselves and their families. Despite the potential opportunities arising from entrepreneurship, the possibilities are often not fully exploited. Female entrepreneurs in the developing world are severely underperforming. In this PEGNet Policy Brief 'Africa's Female Entrepreneurs - Towards Funding Success' by Aoife Hanley, Holger Gorg, Cecilia Hornok and Charles Ackah, the authors examine the scale of the gender productivity gap in African countries and how finance constraints underpin this gap.
Deep Portrait Lighting Enhancement with 3D Guidance

Despite recent breakthroughs in deep learning methods for image lighting enhancement, they are inferior when applied to portraits because 3D facial information is ignored in their models. To address this, we present a novel deep learning framework for portrait lighting enhancement based on 3D facial guidance. Our framework consists of two stages. In the first stage, corrected lighting parameters are predicted by a network from the input bad lighting image, with the assistance of a 3D morphable model and a differentiable renderer. Given the predicted lighting parameter, the differentiable renderer renders a face image with corrected shading and texture, which serves as the 3D guidance for learning image lighting enhancement in the second stage. To better exploit the long-range correlations between the input and the guidance, in the second stage, we design an image-to-image translation network with a novel transformer architecture, which automatically produces a lighting-enhanced result. Experimental results on the FFHQ dataset and in-the-wild images show that the proposed method outperforms state-of-the-art methods in terms of both quantitative metrics and visual quality. We will publish our dataset along with more results on https://cassiepython.github.io/egsr/index.html.
Can-do descriptors – realigning english language curriculum at higher education institution to CEFR / Erda Wati Bakar

The Common European Framework of Reference for Language (CEFR) has become the standard used to describe and evaluate students’ command of a second or foreign language. It is an internationally acknowledged standard language proficiency framework which many countries have adopted such as China, Thailand, Japan and Taiwan. Malaysia Ministry of Education is aware and realise the need for the current English language curriculum to be validated as to reach the international standard as prescribed by the CEFR. The implementation of CEFR has begun at primary and secondary level since 2017 and now higher education institutions are urged to align their English Language Curriculum to CEFR as part of preparation in receiving students who have been taught using CEFR-aligned curriculum at schools by year 2022. This critical reflection article elucidates the meticulous processes that we have embarked on in re-aligning our English Language Curriculum to the standard and requirements of CEFR. The paper concludes with a remark that the alignment of the English curriculum at the university needs full support from the management in ensuring that all the stakeholders are fully prepared, informed and familiar with the framework.
An Approach Towards Secure Sharing of Healthcare Records with Blockchain

The broad acknowledgement of cloud-based services in the healthcare area has achieved useful and supportive exchange of Healthcare Records among a couple of components of the e-Health frameworks. In any case, storing the secret health information to cloud servers is vulnerable to disclosure or burglary and requires the enhancement of methodologies that ensure the security of the PHRs. Hence analyzed a methodology for secure sharing of the records in the cloud. The proposed system guarantees patient-centric control on the records and preserves the grouping of the records. The patients store the encoded records on the cloud servers and explicitly give access to different segments of records to different sorts of people. A semi-trusted proxy called ’Setup and Re-encryption Server’ (SRS) is acquainted with setting up data users with a general/private key, which combines and delivers there encryption keys. In addition, it uses Blockchain technology to share these records and secure privacy.
VISUAL METHODS AS INNOVATIVE PEDAGOGIES IN HIGHER EDUCATION

L. Manasia , A. Parvan, G.M. Ianos , M. LoghinUniversity POLITEHNICA of Bucharest, Department of Teachers Education and Social Sciences (ROMANIA)
Optimizations of VR360 Animation Production Process

The conventional 3D animation production process often takes place through a design stage, including modeling, mapping, animating, and rendering. A frame of movie quality 3D animation can take tens of minutes or even hours to compute and render. In these cases, a large-scale render farm is often utilized to perform rendering and save time and money. Owing to advances in technology, virtual reality (VR) has become a current trend in animation film production. Whether with a 360° panoramic camera recording or 3D technology, many artists and software developers are continually researching more creative forms of expression in this field. Compared with panel-view 3D animation, those in VR animation production must deal with the spherical images of a virtual space in 360°. Details are intensively emphasized. An 8-K or even 4-K rendering resolution provides substantially enhanced viewing quality, but the rendering workload increases substantially. Recently, game engines have developed progressively. Real-time rendering GPU performance, compared with nonreal CPU clusters, has effectively improved the production process, especially regarding instantaneous preview and editable features. Through a creative production of VR360 animation, we optimized the process for a small team. The optimization of the VR360 animation production process comprises seven stages: initial modeling, 3D concept design, and details, texture drawing, rigging, motion capture, motion adjusting, and final integration.
PEMBELAJARAN DALAM JARINGAN (DARING) DI MASA PANDEMI COVID-19 SISWA MI MA’ARIF NU NGADIREJO KALIGESING PURWOREJO

The Online Learning During Pancemic Covid-19 At MI Ma’arif NU Ngadirejo Kaligesing Purworejo Central of Java, the research of study is (1) to describe the online learning during pandemic covid-19 at MI Ma’arif NU Ngadirejo Kaligesing Purworejo (2) the supporting and inhibiting factors of online learning during pandemic covid-19 at MI Ma’arif NU Ngadirejo Kaligesing Purworejo. This reseach employs qualitative approach, the data get by the observation, documentation, and interview. The subject of research is theachers, parents and students of MI Ma’arif NU Ngadirejo Kaligesing. The analyze of data is triangulation of data with qualitative approach. The result of reseach is implementation online learning during pandemic at MI Ma’arif NU Ngadirejo Kaligesing Purworejo less effective because of several inhibiting factors, and not all of students have smartphones and the internet network is less stable.
The Influence of Storyboard Toward Students’ Writing Skill on Recount Text

MuslihatulIslahiyah, SRN 161230079, 2020. “The Influence of Storyboard Toward Students’ Writing Skill on Recount Text” (A Quasi Experimental Research at the Second Grade of MTs Miftahun Najah Lamongan).This research investigated the use of storyboard in writing skill. This research to find out whether teaching writing by storyboard is effective or not, especially in teaching writing recount text. This research was quantitative research. The design of this research was quasi-experimental design, exactly two-group pre-test post-test (control and experimental classes) The researcher took sample from class VIII C consist of 25 students as experimental class and class VIII D consist of 25 students as control class. The instrument used in this research tests (pre-test and post-test) and observation. The research finding of the last result showed that tcount ≥ ttable (1,68 2,40). It means that Ha (alternative hypothesis) is accepted and H0 ( null hypothesis) is rejected. In addition, the result of the research showed that the use storyboard is effective for students’ writing skill on recount text in the second grade of MTs Miftahun Najah Lamongan-Serang. It could be seen from post-test data by proving the students’ score got better than in the pre-test.
IMPROVING STUDENTS’ READING COMPREHENSION USING POSSE (PREDICT, ORGANIZE, SEARCH, SUMMARIZE, EVALUATE) STRATEGY (A Classroom Action Research of the Ninth Grade Students of MTs PSA Nurul Amal in the Academic Year 2019/2020)

Ichtiarti, Dista. 2020. “Improving Students’ Reading Comprehension Using POSSE (Predict, Organize, Search, Summarize, Evaluate) Strategy (A Classroom Action Research of the Ninth Grade Students of MTs PSA Nurul Amal in the Academic Year 2019/2020)”. A Graduating Paper Final Graduating Paper of English and Education Department State Institute for Islamic Studies (IAIN) Salatiga. Counselor: Dr. Mashlihatul Umami, M.A.,Keywords: reading comprehension, Narrative Text, POSSE strategyThe objective of the research are: (1) To find out how is the implementation of POSSE strategy to improve students’ reading comprehension of the ninth grade students of MTs PSA Nurul Amal in the academic year 2019/2020. (2) To find out how far is the improvement of the students’ reading comprehension by using POSSE strategy of the ninth grade students of MTs PSA Nurul Amal in the academic year 2019/2020. The number of subject of the research are 31 students of IX C of MTs PSA Nurul Amal. The method of this research was Classroom Action Research (CAR). The research consisted of two cycles and each cycle consisted of four steps, they were; planing, acting, observing, and reflecting. Data collected were qualitative but also supported by quantitative data. The qualitative data were gained through observation and documentation. The data were in the form field notes, observation checklist and photographs. Meanwhile, the quantitative data was collected from the test. The result showed that the implementation of POSSE Strategy to improve students’ reading comprehension runs successfully. The improvement of cycle I was 6% and 23% in the cycle II. It means that the improvement from cycle I to cycle II was 17%. Moreover, the T-table with (N-1) is 2,042 and the T-test for cycle I was 6,247 and 10,278 in the T-test for cycle II. The value of the T-test is higher than the value of the T-table, so the alternative hypothesis (Ha) is accepted and the null hypothesis (Ho) is rejected. This indicates that POSSE strategy was successful to improve students’ reading comprehension.
Subject Guides: Open Access Resources in German Studies (OARGS): Primary Sources

A partial and selective inventory of open access materials for German Studies. A resource may appear in more than one category.
An efficient trapezoidal compression algorithm using wavelet transformation for medical image

Image compression processes moderate the number of bits essential to signify an image, which can improve the performance of systems during storage and transmission without compromising image quality. They are classified into lossy compression and lossless compression. In this work, a new algorithm called trapezoidal algorithm has been proposed for image compression. The encoding part of proposed algorithm is like trapezoid shape so it is named as trapezoidal algorithm.  Two transformation techniques DWT, IWT with three wavelets such as Haar, Sym4 and Coif1 have been combined for image compression to confer good characteristics of these methods. In this each pixel coordinates are encoded using the logic from SPECK algorithm. In SPECK, the set S is encoded when the pixel level is reached whereas in proposed algorithm (trapezoidal) the set S is encoded when the size of set S is reached 4x4. The approximation of image is named as set S. set S can be formed into three subset termed as s1, s2, s3. S is grouped into many subsets each set can be defined based on a pattern of proposed algorithm. Magnetic Resonance Imaging (MRI) of brain and Computer Tomography (CT) of lung images are used for analyzing compression. The proposed algorithm gives high PSNR compared to existing algorithms EZW, SPIHT and SPECK. The performance metrics such as Peak signal-to-noise ratio (PSNR), Structural Similarity Index (SSIM), Mean square error (MSE), Bits Per Pixel (BPP), Compression Ratio (CR) and Compression Time (CT) are measured for lung and brain images. The dataset has been collected from various scan centers.
LibGuides: Dake Summer Reading 2020: Home

All the information students will need to successfully complete the summer reading program.
Resolving the Navigation and Control Problems of Payload Insertion into a Geostationary Orbit on the Basis of the Modern and Potential GNSS Technologies

The paper considers the problem of providing autonomous operation of a spacecraft (SC) on a geostationary orbit during different stages of its active life, aimed at reducing the SC life cycle costs and increasing its reliability. The theoretical framework, layout and functional-program prototype of an autonomous integrated navigation and motion control system are described. The opportunities of creating such a system, basing on the modern and potential informational GNSS technologies, are demonstrated.
SYNERGIZING LOCAL LANGUAGE AND TECHNOLOGY TO PROMOTE THE SUSTAINABILITY LOCAL TOURISM IN SOUTHEAST MINAHASA-NORTH SULAWESI

Minahasa is the biggest tribe in North Sulawesi, one of the tribes is Southeast Minahasa. The regency has some sub-tribes along with its local language as Ponosakan is the locus of the research. Language is an essence, a fascinating phenomenon because of its unique role in capturing the breadth of human thought. The linguists records that this language has endangered one due to the limitless of the speaker. Big effort in many ways has been doing by local government to promote for the sustainability. Technology plays important role in supporting the endangered language and its tourism object as well in online community. By creating and generating the small group discussion or communal events could produce the industrious product dealing the natural and human resources, namely ecological conservation. Qualitative and quantitative method are applied in this research by using social media—facebook and instagram as the material data. The comments and personal information are gathered from in-depth interview and comments from those social media. Marshall McLuhan’s theory of “Global Village” is used to illustrate of the development on technology and information as the big village enclosing people in it.  The result shows that the using and practicing the local language as vehicle of communication enhance the sustainability of cultural heritage.
Slippery Fish: Enforcing Regulation When Agents Learn and Adapt

Attempts to curb undesired behavior through regulation gets complicated when agents can adapt to circumvent enforcement. We test a model of enforcement with learning and adaptation, by auditing vendors selling illegal fish in Chile in a randomized controlled trial, and tracking them daily using mystery shoppers. Conducting audits on a predictable schedule and (counter-intuitively) at high frequency is less effective, as agents learn to take advantage of loopholes. A consumer information campaign proves to be almost as cost-effective and curbing illegal sales, and obviates the need for complex monitoring and policing. The Chilean government subsequently chooses to scale up this campaign.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
On the geometry of numerical ranges over finite fields

Numerical ranges over a certain family of finite fields were classified in 2016 by a team including our fifth author [5]. Soon afterward Ballico generalized these results to all finite fields and published some new results about the cardinality of the finite field numerical range [1], [2]. In this paper we study the geometry of these finite fields using the boundary generating curve, first introduced by Kippenhahn in 1951 [8], [9]. We restrict our study to square matrices of dimension 2, with at least one eigenvalue in Fq2.
User Activities Analysis in Location Based Social Network Via Association Rules

In recent years, the field of the Internet of Things (IoT), including smart and wearable devices, has witnessed a tremendous advancement leading to the collection of a wide variety of information not only about users but also their activities via various systems such as social networks, apps and so on. Thus, the collection of this large amount of data allows social systems to reach a wide variety of targets and gives more visibility about users and their profiles. It can also help to improve the services and functionalities of the users. Besides, the analysis and prediction of user’s activities in location-based social networks (LBSNs) have received much attention both from industries and research communities, especially in smart city developments, which give much importance to the automation of the LBSNs. In this paper, we present a new method based on association rules for user activity analysis in LBSNs. In particular, the Apriori algorithm has been applied to extract the consequential and advantageous rules to categorize users’ profiles. Empirical evaluations on a publicly available large-scale real-world dataset, named Gowalla, demonstrate the effectiveness of the presented association rules-based system in analyzing users’ activities via LBSNs.
Data exploration techniques for classification analysis

The rapid spread of Machine Learning systems in contexts where a decision is required has introduced a new challenge for designers who have to interface with new considerations inherent to fairness and the possible intrinsic bias of systems. Studies show that there may be possible unwanted biases that AI systems present against people of specific groups, often underrepresented, based on race, sex, religion, or age, among other characteristics. Also when validating a model, the overall performance may not reflect those of the smaller subsets. In this thesis new data exploration techniques will be proposed for the analysis of the classification, going to search for those subgroups in which the model is underperforming. The subdivision allows users to analyze model performance at a more granular level. We then consider the importance of moving to a use-oriented design by presenting an interactive tool to support the analysis able to guide the user in the process, allowing a greater understanding of the results obtained, offering a certain degree of interactivity with the steps carried out by increasing usability and improving the user experience also in this sector.