Reviewerly/exHarmony huggingface dataset:
Image Enhancement Model Using Dehazing Algorithm Application

Image enhancement and classification of hazy images are widely important at various aspects.Noise removal and blur removal play a vital role in medical and imaging concepts all over the world. Detection and treatment of viral infections, genetic problems, diagnostic confirmation and multiple disorder classifications in the medical domain, finding abundant resource generators and crime scene identification in analytic prospects. In such scenarios, theimage enhancement patterns form a major crux. Several aspects have to be taken care whilst classifying and dehazing the images to perform a complete clear image with the properties matching to the original content.Dehazing algorithms has been the technical epitome of modern times. This paper deploys Haze Removal in images using dehazing and image segmentation. MATLAB image processing is being used in the paper.
Влияние облучения ионами аргона на фильтрационные свойства многостенных углеродных нанотрубок

The wettability and filtration efficiency of multi-walled carbon nanotubes (MWCNT) under irradiation with Ar+ ions with an energy of 100 keV have been investigated. Energy dispersive X-ray spectroscopy, Raman spectroscopy, and scanning electron microscopy were used to study the residual manganese content in the filter, as well as to study the structure of irradiated MWCNTs. High fluence irradiated MWCNT (HR-MWCNT) filters showed an improvement in Mn removal of up to 99.6% at a Mn concentration of 10 ppm. HR-MWCNT based filters are extremely hydrophilic, with a 66° wetting angle and high absorption capacity. The efficiency of manganese removal from an aqueous medium has been studied as a function of pH, initial concentration, and mass of MWCNT.
OPPORTUNITIES FOR INDEPENDENCE IN PRIMARY SCHOOL STUDENTS

This article describes how to use and apply advanced methodological experience for independent thinking and research of primary school students. It is shown that the education of children's independence is carried out in a step-by-step manner. The main purpose of primary school teachers and the important factors of teaching them independence are highlighted.
A Smart Wheelchair Robotic System With Health Monitoring And Communication Aid For Paralyzed Person

Hand gesture controllers are used for controlling the smart wheelchair robotic system with health monitoring and emergency communication aid. many people in the world has lost the ability to control the upper limbs and the lower limbs due to quadriplegia, paralyses or ageing factors. These types of the user requires specialized controlling systems for using an electrical wheelchair rather than using the traditional control by the joystick. In this type of wheelchair control system, hand gesture-controlled mobile wheelchair robots can be used as powerful helping system for the severely disabled people in their daily life, especially for helping them move voluntarily. In this project, we would be using the hand gesture controlled wheel chair robotic system. The hand gesture controlling system uses the movement of our hands to operate the system. Continous health monitoring is maintained and provided to help during the emergency conditions. Emergency alerting and aiding system helps in the alerting the nearby people and send alert messages to the hospital and close family members
Block Chain Based Health Care System

The use of block chains means that parties who don't trust each other must maintain a shared ledger of data. According to their submissions, the parties agree on the states, their values, and the facts of the matter are the same. and tedious and gratifying to maintain a grip on the basics of the technology and to offer is keeping pace. Healthcare data is more common in the world today than it was even a decade ago, as cloud computing becomes ubiquitous It is absolutely critical that data for patient use be secure and protected. Information and data security is important for almost all organizations, whether in business or in private use. You may find it difficult to track down the majority of this data in the event it falls into the wrong hands, however sensitive, in nature. information can be erased because of disasters, for example, but information loss to hackers or malware is more devastating. When each page of a ledger contains a transaction, the page acts as a block in the block-chain technology If that block or the page following it has the same effect, the next one that is created will as well. That is to say, when a block is found, it connects to the next block in the sequence, and when it connects to the end, it generates a secure code. Using system data will be a vital to getting access to healthcare information. This is implemented using the block concept and the cryptographic technique of key-based encryption Usesends the hash tables with a validating copies, and cross-checking them with each other to quickly discover which one has been tampered with is critical because they are on millions of nodes Establishing a database for healthcare system data If you add more healthcare data to the system would have to store it securely.
Foreign Direct Investment, Governance and Inclusive Growth in Sub-Saharan Africa

Motivated by the projected rebound of foreign direct investment (FDI) inflow to sub-Saharan Africa (SSA) following the implementation of the AfCFTA and the finalization of the Africa Investment Protocol, we examine how FDI modulates the effects of various governance dynamics on inclusive growth in SSA. We do this by testing two hypotheses– first, whether unconditionally FDI and various governance indicators (rule of law, control of corruption, regulatory quality, governance effectiveness, political stability, and voice and accountability) foster inclusive growth in SSA; and second, whether these governance dynamics engender positive synergy with FDI on inclusive growth in SSA. Using data from the World Bank’s World Governance Indicators and the World Development Indicators for the period 1990–2020, we employ several fixed effects, random effects, and the system GMM estimators for the analysis. First, we find that FDI and all our governance dynamics are significant inclusive growth enhancers in SSA. Second, though FDI amplifies the effects of all our governance dynamics on inclusive growth in SSA, governance effectiveness, voice and accountability, and political stability are keys. Policy recommendations are provided.
COVID &amp;amp; Digital Surveillance: Common Legislative Protections for Proximity Apps, Attendance Tracking, and Status Certificates (Part II) (Presentation Slides)

This presentation to the UN Special Rapporteur’s conference on the Right to Privacy Session: ‘COVID-19 and Privacy in Asia, Australasia and Europe’ was given on 23 June 2021. Graham Greenleaf presented this second part, and Katharine Kemp presented a first part at https://ssrn.com/abstract=3878659.Three forms of COVID data surveillance are considered: Proximity Tracking; Attendance Tracking; and COVID Status Certification. Our argument is that legislative protections based on common principles are needed for all types of COVID surveillance. Our starting point is that emergency measures pose risks requiring emergency-quality protections. Unfortunately, emergencies tend to reduce normal legislative oversight. We consider two desirable principles which are often difficult to deliver if maximum effectiveness against COVID is sought: no compulsion (voluntary); and no central database. We use three points of comparison to illustrate the legislative protections needed (and in some cases, absent):1. Australia’s bluetooth proximity tracing app (COVIDSafe Act)2. Australian QR Codes for attendance check-ins (no model law)3. EU’s COVID status certificates (EU Digital Covid Certificate Regulations)We argue for 10 common principles which can and should be implemented in legislation applying to all types of COVID surveillance systems:1. Put controls within the country’s data privacy law2. Guarantee access to avoid discrimination3. Minimise & define authorised uses of COVID data4. Minimise data collection5. Anti-coercion provisions6. Prevent ‘surveillance creep’ 7. Continuous deletion program (if data is collected)8. ‘Sunset clause’ for whole system9. Supervision by independent DPA10. Transparency These 10 principles are applicable even where COVID surveillance systems are developed which are compulsory and involve centralised databases. Various international organisations are advocating similar sets of principles.The presentation examines the application of these ten principles in relation to each of the three examples of legislative protections (or their absence), and concludes that essentially the same legislative controls are necessary & possible to mediate all three types of COVID surveillance.
Penerapan Model Teams Games Tournament Berbantuan Media Pemprof untuk Meningkatkan Hasil Belajar Siswa Kelas IV Sekolah Dasar

The purpose of this study is to analyze the improvement of teacher skills and increase learning outcomes of students in class IV SD 5 Lau in learning Theme 4 by applying the learning model Team Games Tournament assisted by the Pemprof media. The research method used is classroom action research (CAR) carried out in two cycles, each cycle consisting of four stages namely planning, implementation, observation and reflection. The research location is SD 5 Lau which is located at Lau Village RT 05 / RW 05 Dawe District, Kudus Regency. The subjects of the study were the fourth grade students of SD 5 Lau in the first semester of the 2019/2020 school year, totaling 16 students, consisting of eight male students and eight female students. Research data sources are teachers and students. Data collection techniques include interview, observation, test and documentation techniques. The validity of the data used is Expert Judgment using qualitative and quantitative data analysis techniques. The results showed an increase in teacher teaching skills as well as student learning outcomes in the realm of knowledge and the realm of skills. The teaching skills of teachers in the first cycle obtained a percentage of 76% and in the second cycle increased to 85.50% Student learning outcomes in the realm of social science content in the first cycle obtained an average of 76.25 with 75% classical completeness and Indonesian content with an average 73.12 with classical completeness 56.25%. In the second cycle the IPS load increased for an average of 77.5 with a classical completeness of 81.25% and an Indonesian content with an average of 84.06 with a classical completeness of 81.25%. Student learning outcomes in the realm of cycle I gained a percentage of 70.57%, increasing in cycle II to 80.08%.
Towards a Sign Language Hand Gesture Recognition Design Framework

Sign language hand gesture recognition enables bridging the communication barrier between the deaf and hearing people. Hence, over the past two decades research in sign language hand gesture recognition has been extensive. However, achieving a robust sign language hand gesture recognition system is still an active research area. Partly this is because there is no outline present to date of this paper that can assist in the design of a sign language recognition systems. Therefore, this paper presents a sign language hand gesture recognition design framework. This framework is evolved using the grounded theory methodology following a rigorous review of literature in hand gesture recognition. The proposed framework is presented in an outline that shows the process that should be followed when designing hand gesture sign language recognition systems. The framework is open for enhancements and serves as a good starting point for researchers and developers of hand gesture recognition systems.
Location Based Recommendation of Indian Cuisine Recipes based on Ingredients using Machine Learning Techniques

There are plenty of sorts of Indian delicacies available with the same ingredients. In India, traditional recipes are varied due to the locally available spices, vegetables, fruits & herbs. In this paper, we purposed a way that recommends Indian recipes based on readily available ingredients and popular dishes. In this task, we perform a web search to create a collection of recipe types and apply a content-based approach to machine learning to recommend recipes. This system provides Indian food recommendations based on ingredients.
Blueprint : Smart Marker Pen / Shahirah Ibrahim

Nowadays, technologies are very important to the worlds because it will help people to do work easily and fast. Not only that, technologies also assist the production of the product increase. Same goes to this smart marker pen, three type of the tools have been combined in one formation make users to use this product easily. The three types of the tools that include to these products are marker pen, duster and hand sanitizer. Through this combination, users can write their ideas or any information perfectly. This is because when there are errors during writing information, users can correct that faultiness by deleting them using duster that has been attached on the marker surface. By attaching duster on the marker pen surface, users do not face losing the duster anymore. They candelete incorrect information immediately because users not need wasting their time to find the duster.After finish utilize that tool, users can keep their hand always clean by press the button on the top surface of the marker pen to spray out hand sanitizer. The main aimproviding hand sanitizer to the marker pen is to avoid virus Covid-19 from spreading easily through a touch on shared object. Hand sanitizer also can be use as removing liquidto remove permanent ink on the whiteboard. This smart marker pen consists of nine colours, which are black, white, yellow, dark blue, orange, pink, grey, light purple andgreen
НОВЫЕ ТИПЫ СУММАТИВНОГО ОЦЕНИВАНИЯ В УСЛОВИЯХ ОБНОВЛЕННОГО СОДЕРЖАНИЯ ОБРАЗОВАНИЯ

In this article, the authors propose their own summative assessment system for pupils. Criterial evaluation in the educational process is aimed at solving a number of urgent problems. Methodical recommendations will help the teachers in planning, organizing and conducting summative assessment on the subject “English” for pupils of Grade 3. A specification with a scoring scheme is proposedfor a quarter summative evaluation. Guidelines are aimed to help primary school teachers, school methodologists of education departments on criteria-based assessment.
РАЗВИТИЕ ЛОГИЧЕСКОГО МЫШЛЕНИЯ УЧАЩИХСЯ НА УРОКАХ МАТЕМАТИКИ

The relevance of the article is related to the growing objective need to develop and improve the creative abilities of the new generation in all areas of social life, including education, the need to identify and create pedagogical conditions that contribute to the development of logical thinking of students. The scientific novelty of the article is a set of pedagogical conditions and didactic tools that determine the effectiveness of the development of logical thinking of students. The practical significance of the work is to determine the psychological and pedagogical conditions and develop a set of lessons that contribute to the development of logical thinking of students in mathematics lessons. The methodological basis of the research is defined as actions and personal approaches to determining the place of teachers and students in education. The article deals with the problems of developing students ' thinking in the study of mathematics and the contradictions between unspecified data in the comparison of data, between the requirements for mandatory learning outcomes and the development of logical thinking of students in secondary schools by analyzing the literature on the topic under study. In secondary schools, a system of principles, requirements, criteria based on the development of logical thinking of students in grades 5, as well as tasks that meet certain requirements, is classified.
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework

The performance of speaker recognition system is highly dependent on the duration of speech used in enrollment and test. This work presents a detailed experimental review and analysis of the GMM-SVM based speaker recognition system in presence of duration variability. This article also reports a comparison of the performance of GMM-SVM classifier with its precursor technique Gaussian mixture model- universal background model (GMM-UBM) classifier in presence of duration variability. The goal of this research work is not to propose a new algorithm for improving speaker recognition performance in presence of duration variability. However, the main focus of this work is on utterance partitioning (UP), a commonly used strategy to compensate the duration variability issue. We have analysed in detailed the impact of training utterance partitioning in speaker recognition performance under GMM-SVM framework. We further investigate the reason why the utterance partitioning is important for boosting speaker recognition performance. We have also shown in which case the utterance partitioning could be useful and where not. Our study has revealed that utterance partitioning does not reduce the data imbalance problem of the GMM-SVM classifier as claimed in earlier study. Apart from these, we also discuss issues related to the impact of parameters such as number of Gaussians, supervector length, amount of splitting required for obtaining better performance in short and long duration test conditions from speech duration perspective. We have performed the experiments with telephone speech from POLYCOST corpus consisting of 130 speakers.
Songs as Media in Teaching Pronunciation

This research is to examine how the implementation of English songs is as media in teaching pronunciation at Kampung Inggris (English Village) course in Pare Kediri. The researcher uses descriptive qualitative case study design. The researcher has to make sure that they conducted everything themselves from gaining access to the left field. In this study, the researcher acts as an observer. The researcher collects the data and reports them descriptively based on the situation and events in the field. After then, it obtains the data by observation in the pronunciation class in the Kampung Inggris (English Village) course twice, interview with seven informants, and documentations, which consist of photos, recordings, and video. The result shows that the implementation of English songs as media in teaching pronunciation at the Kampung Inggris (English Village) course is run well. The results of the study are obtained from the observation and interview from some informants in Kampung Inggris (English Village) course; they described as follows the conclusion of teaching pronunciation by using English songs. It also makes the learners confident to speak the English language. So, they can pronounce like a native as well.
Exploring Network-Related Optimization Problems Using Quantum Heuristics

Network-related connectivity optimization problems are underlying a wide range of applications and are also of high computational complexity. We consider studying network optimization problems using two types of quantum heuristics.One is quantum annealing, and the other Quantum Alternating Operator Ansatz, an extension of the Quantum Approximate Optimization Algorithms for gate-model quantum computation, in which a cost-function based unitary and a non-commuting mixing unitary are applied alternately. We present problem mappings for problems of finding the spanning-tree or spanning-graph of a graph that optimizes certain costs, and a variant that further requires the spanning-tree be degree-bounded. With quantum annealing, all constraints are cast into penalty terms in the cost Hamiltonian, and the solution is encoded as the ground state of the Hamiltonian. We provide three mappings to the quadratic unconstrained binary optimization (QUBO) form, compare the resource requirements, and analyze the tradeoffs. For QAOA, we give special focus on the design of mixers based on the constraints presented in the problem, such that the system evolution remains in a subspace of the full Hilbert space where all constraints are satisfied. In the spanning-tree problem, one such hard constraint is that a mixer applied to a spanning-tree needs also be a spanning tree. This involves checking the connectivity of a subgraph, which is a global condition common for most network-related problems. We show how this feature can be efficiently represented in the mixer in a quantum coherent way, based on manipulation of a descendant-matrix and an adjacent matrix. We further develop a mixer for the spanning-graphs based on the spanning-tree mixer.
Monetization Data Through the Whaff Reward Application (Case Study on Smartphone Users)

In this increasingly rapidly developing era, there are more technological advances, therefore more and more technology users, one of which is smartphones. Many new things have sprung up that make human life easier, one of the results of this smartphone revolution is the increasing number of smart applications, one of which is an amazing money-making application that is widely used by teenagers is the “Whaff Reward” application. In this application you can use it to get money with a dollar amount, just by doing the tasks you are told to do. With the Whaff Reward application, teenagers can easily earn money.
Pengembangan buku ajar mata kuliah belajar dan pembelajaran berbasis moodle

Belajar dan Pembelajaran (learning and teaching learning) requires high analytical skills, flexible time, and supporting learning media, one of which is books. This research aims to design and develop teaching books for Belajar dan Pembelajaran that are MOODLE-based. This research employed Research and Development (R&amp;D) method with the ADDIE technique. Participants of this research are second-semester students of the PJKR IKIP Budi Utomo Program (the year 2019-2020) who took the Belajar dan Pembelajaran course. Questionnaire technique was employed to determine the feasibility of teaching books, and to test student learning outcomes after using MOODLE-based teaching books. The standard assessment of content from media experts is 57 with a percentage of 95%, referring to very good criteria without revision. The visual standard assessment from media experts is 61 with a percentage of 94%, referring to very good criteria without revision. The content standard assessment from material experts is 48 with a percentage of 80%, referring to very good criteria without revision. The visual standard assessment from material experts is 53 with a percentage of 82%, referring to very good criteria without revision. Teaching books’ effectiveness (N-gain) is 0.52 on moderate criteria.
Laboratorios virtuales en el proceso enseñanza-aprendizaje en Ecuador.

In the current times, there are many professors, researchers and scientists developing resources based on new technologies to support the teaching-learning process of technical careers; these technological tools simulate a real situation and improve the perspective of many students before entering the working world giving them the experience they need for their performance. In education, many professionals add technological tools for educational purposes in their teaching methodology. Virtual laboratories stand out for their visual impact and animation characteristics, which simulate a real. In the present work, the institutions in Ecuador that apply virtual laboratories as a complementary activity in the theoretical-practical subjects are analysed. As a result of this analysis, the virtual institutions and tools that foster self-learning and collaborative work are shown.
Flexible brain: a domain-model based bayesian network for classification

Currently, deep learning methods have been widely applied to many fields like classification. Generally, these methods use the technology like transferring to make a model work well on different do...