Reviewerly/exHarmony huggingface dataset:
Analysis of Farmers’ Food Price Volatility and Nigeria’s Growth Enhancement Support Scheme

Food prices in Nigeria have become significantly higher and more volatile since 2012. The purpose of this research was to find out what affects farmers’ participation in the growth enhancement support scheme (GESS) in the country. We determined the effect of the GESS on the ease of access to market information and agricultural inputs that influence price volatility at farm gate level. A total of 2100 rural farmers were sampled across Nigeria’s six geopolitical zones. Result from the use of recursive bivariate probit model showed that farmers depended on the GESS for the resolution of food price volatility by providing food market information and agricultural inputs that bring down the incidence and amount of anxiety-impelled price rise in Nigeria. The results advocated for the need to improve the GESS in line with the agricultural transformation agenda (ATA) by cutting down the deterrents mostly linked with the use of mobile phones, and the distance of registration and assemblage centers. In extension and contribution, the findings suggest that smallholder farmers can be part of the volatility solution when they are provided with rural roads and transportation to get their product to the market, and technology to receive and share the latest market information on prices.
Opinion-mining with fuzzy c-mean clustering Over e-commerce websites

The articulation long-range informal communication packs up a broad assortment of online activities, sites, organization trade sheets, visits, administration rating locales, microweb diaries.E-business objections are the market's wealth in today's world. Because of the consistency of locales, no one has to travel outside the market. These destinations are more dependable to the point of being used.Customers are totally looking toward internet business objections while they hold on for the things to proceed. An enormous amount of sites of settled and supposed associations are driving their things at this point; preserving trust in these locales is the outrageous objective. Consumers can order goods over the internet and have them reassured by the protected territory for a fee, cutting down on the amount of time it takes to buy things. Nowadays, various customers like to encounter these studies to land at a reasonable decision about the sensibility of a particular thing or organization as indicated by their necessities. Individuals' perspectives, tests, directs, and evaluations about people, individuals, issues, events, topics, and their features are all included in speculation mining. Since they are fundamental results of the activities, the supposition is broad.Features based end examination fuses part of extraction, feeling conjecture,and thinking portrayal.
Organization of remote distance learning in the Arctic State Institute of Culture and Art of Yakutia

This article presents the organization of remote distance learning in Arctic State Institute of Culture and Art (ASICA) of the Republic of Sakha (Yakutia). It shows features of remote distance learning in ASICA based on the use of Moodle distance learning management system. The important thing for the functioning of the digital learning environment is the availability of resources: material and technical, human resources of teachers with formed multimedia competencies in software and modern technologies used. The survey result was shown regarding the availability of information within Moodle environment, which provides all types of classes and procedures for assessing learning outcomes whose implementation envisages the use of e-learning and distance learning technologies. The practical significance of the study lies in the specifics of training students – future professionals of culture and art in the transition to remote distance learning.
Lowercase Writing in Loanword Transliteration in Japanese

This paper shows how the so-called lower case katakana writing is utilized for the transliteration of loanwords in Japanese, avoiding unpermitted phonological sequences. In order to adapt the foreign ti, di, tu, du, hu sequences, Japanese orthography employs lowercase writing (i. e., written in “small letters”) to preserve the phonological entity of the target words in the transliteration, e. g., disko “disco” → &lt;deisko&gt;, feis “face” → &lt;ɸue:su&gt;. That is, the diphthongal representations have to depend on special symbols, i. e., lowercase glides. Due to many complexities, Japanese writing system, especially the Romanization, is regarded as one of the most complicated systems which cannot be accounted for in a simple way. In order to provide a unified account on this issue, we employ the framework of Optimality Theory and show what kinds of constraints and their ranking relations are required the Japanese lowercase writing. We here claim that vowel correspondence is ranked higher than consonantal correspondence in Japanese lowercase writing. Moreover, the preservation of mora is another important factor in loan adaptation. Furthermore, the constraint ranking is different, depending on the period of adaptation; the new and old loanwords are realized differently from each other, although they have the same phonemic inputs.
Contrast and Classify: Training Robust VQA Models

Recent Visual Question Answering (VQA) models have shown impressive performance on the VQA benchmark but remain sensitive to small linguistic variations in input questions. Existing approaches address this by augmenting the dataset with question paraphrases from visual question generation models or adversarial perturbations. These approaches use the combined data to learn an answer classifier by minimizing the standard cross-entropy loss. To more effectively leverage augmented data, we build on the recent success in contrastive learning. We propose a novel training paradigm (ConClaT) that optimizes both cross-entropy and contrastive losses. The contrastive loss encourages representations to be robust to linguistic variations in questions while the cross-entropy loss preserves the discriminative power of representations for answer prediction. We find that optimizing both losses -- either alternately or jointly -- is key to effective training. On the VQA-Rephrasings benchmark, which measures the VQA model's answer consistency across human paraphrases of a question, ConClaT improves Consensus Score by 1 .63% over an improved baseline. In addition, on the standard VQA 2.0 benchmark, we improve the VQA accuracy by 0.78% overall. We also show that ConClaT is agnostic to the type of data-augmentation strategy used.
Development Of Students' Computational Thinking Using Cognitive Tools And Methods Of Teaching

The formation and development of the computational thinking of the future specialist is one of the main goals of modern higher education. In this regard, special attention should be paid to the disciplines related to programming and numerical methods for solving mathematical problems. One of the reasons for the decline in the quality of mastering these disciplines is the lack of means and methods of teaching students, taking into account their modern cognitive characteristics. The purpose of the study is to substantiate, develop and experimentally test cognitive means and methods of teaching students Numerical Methods, which contribute to the development of their computational thinking and ensure the effectiveness of subject training. The leading methodological strategy of the research is the cognitive approach to teaching, associated with the implementation of the psychological and pedagogical goals of the cognitive process and focused on the use of cognitive visualization of educational mental constructs. The scientific idea of developing students' computational thinking and increasing the effectiveness of their training in the Numerical Methods course with the help of original cognitive-visualized teaching aids and dynamic computing simulators is proposed and implemented. In the course of the pedagogical experiment, the effectiveness of cognitive means and methods of teaching students Numerical Methods is shown.
Secure Conserving Multiple Keyword Ranked Search over Encrypted Cloud Data

In cloud computing, Owner of data are impetus to outsource their complex data management systems from local sites to the commercial public cloud for great affability and cost effective. But for protecting data privacy, important sensitive data has to be encrypted before storing, which opposite in traditional data utilization which is based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of imperial importance. There are large number of cloud users and there important file for example text in the form of pdf,doc,rtf, etc stored in cloud,it is necessary when they send search request and returns documents display in some relevance order.for searching purpose use multikeyword. In this paper, we define and solve the challenging problem of privacy preserving multi-keyword ranked search over encrypted cloud data (MRSE).We establish a set of strict privacy requirements for such a secure cloud data utilization system.. In this paper, surprisingly, we characterize and tackle the testing issue of protection saving Multi- keyword Ranked Search over Encrypted Cloud Data [MRSE] . Then according to Top N Query scheme the sorted results are created.
TEVisE: An Interactive Visual Analytics Tool to Explore Evolution of Keywords’ Relations in Tweet Data

Recently, a new window to explore tweet data has been opened in TExVis tool through visualizing the relations between the frequent keywords. However, timeline exploration of tweet data, not present in TExVis, could play a critical factor in understanding the changes in people’s feedback and reaction over time. Targeting this, we present our visual analytics tool, called TEVisE. It uses an enhanced adjacency matrix diagram to overcome the cluttering problem in TExVis and visualizes the evolution of frequent keywords and the relations between these keywords over time. We conducted two user studies to find answers of our two formulated research questions. In the first user study, we focused on evaluating the used visualization layouts in both tools from the perspectives of common usability metrics and cognitive load theory. We found better accuracy in our TEVisE tool for tasks related to reading exploring relations between frequent keywords. In the second study, we collected users’ feedback towards exploring the summary view and the new timeline evolution view inside TEVisE. In the second study, we collected users’ feedback towards exploring the summary view and the new timeline evolution view inside TEVisE. We found that participants preferred both view, one to get overall glance while the other to get the trends changes over time.
Chapter 6. Interactions between distribution and functional uses in Italian adversative pragmatic markers

This chapter describes the interaction between distribution and functional uses of the Italian Adversative Pragmatic Markers (APMs) ma and però in spontaneous spoken language. These forms are claimed to be distributionally and functionally asymmetrical, as ma preferentially occurs in the left periphery, performing a turn-taking function, while only però can appear in the right periphery, with a cohesive function. Results from a semasiological (form-to-function), corpus-based and multi-level (prosodic, information and functional) investigation show that APM asymmetry is not clear-cut. Although the multi-level description supports Beeching and Detges’s (2014) function-periphery asymmetry hypothesis as a general tendency, it also argues in favor of a more fine-grained functional analysis.
Present Situation and Development of Building Material Utilization of Phosphogypsum

The impurity components of phosphogypsum in China are complex and the accumulation is large. Due to its low utilization rate, the sustainable development of phosphogypsum industry in China is limited. How to effectively digest large amounts of phosphogypsum has become an urgent world problem to be solved. Therefore, according to the application status of phosphogypsum all over the world, in this paper, the characteristics and utilization difficulties of phosphogypsum in China are summarized and analyzed, the application of partial phosphogypsum in building materials is explained, and the future research trend of phosphogypsum utilization is prospected.
The Influence of Guided Question Technique Combine Picture Series Toward Students’ Writing Ability in Recount Text

The objective of this research was to find out the influence of Guided Question Technique combine picture series toward students’ writing ability at the tenth grade of SMA Negeri 8 Kabupaten Tangerang. The researcher use quantitative research by applying quasi-experimental design for conducting the research. The population of this research was the tenth grade students of SMA Negeri 8 Kabupaten Tangerang. The sample of this research was chosen based on cluster random sampling. The groups were put into experimental group and control group. Each group consists of 36 students. Pre-test was given to the groups at the beginning of the phase. Then treatment was given only to experimental group for two meetings. To find the improvement, post-test was given to the groups. The researcher used content validity and inter-rater reliability in order to make the instruments was valid and reliable. In testing the hypothesis the researcher used t-test as formulas to know the influence.The calculation shows the result of 𝑡𝑐𝑜𝑢𝑛𝑡 is higher than 𝑡𝑡𝑎𝑏𝑙𝑒 (6.67 ≥ 1.99) with the significance 0.05 (5%). It can be concluded that there is an influence of Guided Question Technique combine picture series toward students’ writing ability in recount text at the tenth grade of SMA Negeri 8 Kabupaten Tangerang. It is suggested that Quided Question Technique combine picture series can be used by English teacher to help students improve their writing ability in recount text.
Natural Disaster Discernment and Vigilance

Natural Disasters like cyclones and Earthquakes have a huge impact on the lives of people, results in damage to infrastructure, and lead to injuries and deaths. IoT Based detection systems are utilized for detecting disasters and performing subsequent rescue operations. The challenge with these IoT Based systems is that collecting data from sensors might be failed due to communication breakages or network congestions. To address this issue, this paper has come up with an idea of implementing Disaster Detection using Convolutional Neural Networks and sending SMS to people for making people alert. This paper aims to particularly detect Cyclones and Earthquakes. Data sets were collected from Kaggle. Convolutional Neural Network is a deep learning algorithm that takes an image as input, assigns weights/biases to a variety of aspects in the image for differentiating one from another image. Applications of this work includes disaster preparedness such as forecasts, warnings and predictions, disaster management and disaster relief operations. A comparative study has been performed on CNN and its variants.
Piano-performance intonation in historical retrospect of the xix century

The article discusses the issues of the formation and once-ultimate piano-performing intonation, nature and essence of expressive execution in the musical pedagogy of the first half of the nineteenth century. Qualitative changes, the most important style, performing, pedagogical features of various "schools", methodic-theoretical ideas about the expressiveness of the execution of not only classical, but also romantic pianism, "brilliant style" are defined and identified. Based on the integrated analysis, the uniqueness of innovative pedagogical principles, new terms and concepts in the field of piano intonation in the works of mobile, gummale, Chopin, who pre-rotated in the canons for subsequent pedagogical practice, made a huge contribution to the formation of romantic pianism, representing There are tremendous interest and remain relevant for modernity. The methodological potential racked in the article can be used in pedagogical activities to improve the educational process and upbringing the executive culture of the musician.
LITERARY WORKS STUDENTS CAN WRITE: CREATIVE WRITING IN THE EFL CONTEXT

There are doubts that EFL students can write works of literature. When their language proficiency is still progressing, they might have difficulties expressing themselves due to language barriers, for instance, vocabulary. In the EFL context, however, writing literary works through creative writing practices is beneficial for learners. Therefore, this study proposes investigating the benefits of writing literary works through creative writing practices in the EFL context. To reach the objective, the researcher observed the creative writing practices in the English Letters Department, Universitas Sanata Dharma, Yogyakarta. The data were collected from creative writing works and semi-structured interviews with selected students. The study concluded three benefits of writing literary works through creative writing practices in the EFL context. First, it improved EFL learners’ language proficiency. Second, it allowed students to express their identities and emotions in their creative writing outputs. Finally, it empowered students because they had the sense of accomplishment of writing the literary works. The findings may give some insights that EFL learners can write literary works appropriate for the standard of a creative writing class. Teachers may also better understand that writing literary works in creative writing practices offer various benefits to EFL students. Affiliation: Universitas Sanata Dharma, Yogyakarta, Indonesia Email: ewi@usd.ac.id
Ροή Εργασίας για εκτύπωση μεταβλητών δεδομένων. Variable Data Printing.

The current thesis examines how the modern and fully automated digital workflow is connected to Web to Print systems and to the variable data printing which aims at the production of unique and personalized print products. This study focuses on the characteristics of variable data printing (VDP), the conditions under which it thrives and the way it operates in the digital environment. In the modern workflow the required processes are intertwined from the beginning of the production process to its end. So VDP VDP offers the ability to customize a high-level communication with people, customize catalog content, communicate to different markets that have the same design and data system, produce updated marketing materials quickly and finally rapidly extract data from different departments to produce marketing communication.
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension.

We propose a simple method to generate multilingual question and answer pairs on a large scale through the use of a single generative model. These synthetic samples can be used to improve the zero-shot performance of multilingual QA models on target languages. Our proposed multi-task training of the generative model only requires the labeled training samples in English, thus removing the need for such samples in the target languages, making it applicable to far more languages than those with labeled data. Human evaluations indicate the majority of such samples are grammatically correct and sensible. Experimental results show our proposed approach can achieve large gains on the XQuAD dataset, reducing the gap between zero-shot and supervised performance of smaller QA models on various languages.
Image Encryption by Using Partially Homomorphic Approach

Homomorphic Cryptosystems play a critical role in protecting our data as it is being processed in a public setting. It's a type of encryption that allows particular types of computations to be performed on data, resulting in an encrypted result that, when decrypted, matches the results of operations performed on the original data. To share secret images over an unsecured channel, this paper proposes using the cryptographic Homomorphic (El-Gamal) algorithm and the Elliptic Curve. The proposed scheme enables shorter keys and better performance than schemes based on El-Gamal traditional Algorithm. It has a lower computation overhead in image decryption when compared to other additively Homomorphic methods. Elliptic curve parameters are selected to generate key masks using less time for encryption and decryption. Experimental results and analysis show that the proposed method has superior performance to El-Gamal traditional.
Physical Unclonable Function and OAuth 2.0 Based Secure Authentication Scheme for Internet of Medical Things

With ubiquitous computing and penetration of high-speed data networks, the Internet of Medical Things (IoMT) has found widespread application. Digital healthcare helps medical professionals monitor patients and provide services remotely. With the increased adoption of IoMT comes an increased risk profile. Private and confidential medical data is gathered across various IoMT devices and transmitted to medical servers. Privacy breach or unauthorized access to personal medical data has far-reaching consequences. However, heterogeneity, limited computational resources, and lack of standardization in authentication schemes prevent a robust IoMT security framework. This paper introduces a secure lightweight authentication and authorization scheme. The use of the Physical Unclonable Function (PUF) reduces pressure on computational resources and establishes the authenticity of the IoMT. The use of OAuth 2.0 open standard for authorization allows interoperability between different vendors. The resilience of the model to impersonation and replay attacks is analyzed.
Employee Tracking System using Blockchain

Individuals who don't appear to be familiar with blockchain have distinguished in regards to Bitcoin, the digital money and installment framework that utilizes the innovation. The stage known as Ethereum, utilizes blockchain, that is anticipated by certain specialists to overwhelm Bitcoin this year. Keen agreements with extraordinary calculations for the robotization of agreements incorporate arrangement making forms. Such agreement will permit individuals to sell realties, trade shares, cash, reports or any exclusive. The highlights of brilliant agreement execution are that there is no compelling reason to utilize middle of the road administrations, for example, dealers, legal officials, operators and so on to make an exchange. Perhaps the best thing about the blockchain is that, since it is a decentralized framework that exists between totally allowed parties, there is no compelling reason to pay delegates (Brokers) and it spares time and struggle. Blockchains have their own burdens, however they are evaluated, obviously, quicker, less expensive, and more secure than whatever other conventional frameworks, which is the reason banks and governments are utilizing them. The shrewd strategy to disclose savvy contracts is to contrast the innovation with a vendor machine. Commonly, individuals would go to a legal counselor or a legal official, pay them, and stand by to get the record. At the point when they utilize shrewd agreements, they can drop a bitcoin into the vendor machine (for example record), and escrow, driver's permit, or whatever drops into the record. Shrewd agreements not just characterize the principles and punishments around an understanding in as that a conventional agreement does, yet in addition consequently authorize those commitments. In this paper let see about the Representative Following framework in blockchain utilizing Ethereum brilliant agreements so the worker profile is all around worthy and can't be altered with the goal that the businesses can believe a framework where the records are changeless and substantial.