Reviewerly/exHarmony huggingface dataset:
A Simplified Application of Howard’s Vector Notation System to Termination Proofs for Typed Lambda-Calculus Systems

There have been some important methods of combining a recursive path ordering and Tait-Girard’s computability argument to provide an ordering for termination proofs of higher-order rewrite systems. The higher-order recursive path ordering HORPO by Jouannaud and Rubio and the computability path ordering CPO by Blanqui, Jouannaud and Rubio are examples of such an ordering. In this paper, we give a case study of yet another direction of such extension of recursive path ordering, avoiding Tait-Girard’s computability method plugged in the above mentioned works. This motivation comes from Lévy’s question in the RTA open problem 19, which asks for a reasonably straightforward interpretation of simply typed $$\lambda $$ -calculus $$\lambda _{\rightarrow }$$ in a certain well founded ordering. As in the cases of HORPO and CPO, the addition of $$\lambda $$ -abstraction and application into path orderings might be considered as one solution, but the following question still remains; can the termination of $$\lambda _{\rightarrow }$$ be proved by an interpretation in a first-order well founded ordering in the sense that $$\lambda $$ -abstraction/application are not directly built in the ordering? Reconsidering one of Howard’s works on proof-theoretic studies, we introduce the path ordering with Howard algebra as a case study towards further studies on Lévy’s question.
Preventing Differential Fault Analysis Attack on AEGIS Family of Ciphers

AEGIS, aMaiti, Swapan dedicatedRoy Chowdhury, Dipanwita authenticated encryption algorithm is one of the winners of the CAESAR portfolio. In literature, there exist fault attacks on AEGIS family of ciphers. Fault attack is one of the most efficient forms of side-channel attacks against implementations of cryptographic algorithms, and the protection against fault attack is vital for security-related devices. In this paper, we propose countermeasures for AEGIS family of ciphers. The proposed countermeasures show that the state of the ciphers can not be recovered faster than exhaustive search because it needs $$2^{128}$$ time to recover a state of each cipher.
Submission to the Cyber and Critical Technology International Engagement Strategy (CCTIES) (Department of Foreign Affairs and Trade)

The following submission draws on my decade of research and experience in this area to advocate for these victims to be included in the future policy direction of this area. Too often, the “human” element of cybercrime and cybersecurity is forgotten, with a strong focus on the technology which enables and facilitates incidents to occur. This has been to the detriment of many individuals, who have neither felt acknowledged in their victimisation, nor supported in their recovery. My intention for this submission is to give a voice to those who find themselves on the wrong end of cybercrime and cybersecurity and are powerless to advocate for change in their own situation. Collectively, there is much to be done to improve the current response to those who experience negative outcomes of engaging with technology, across both cybercrime and cybersecurity contexts.
CINCIN ARSIP: PENANGGULANGAN BENCANA DAN PENGELOLAAN ARSIP

Disaster mitigation consists of three sequential processes, similar to functional approach towards disaster. The two puts concern that series system able to capture disaster function each of related governmental bodies. Despite the various structures and names of government bodies, it is their single function that creates records. Function defines activity and transaction. Align to it, life cycle approach is considered fail to capture the series system. Thus, records continuum contemporarily suitable. Preserving collective memory and providing access over time are main requirements. Structurism might lower the tense between structure and function.
Перемоги студентів кафедри програмного забезпечення Вінницького національного технічного університету у 2020 році на міжнародних конкурсах з комп’ютерної графіки

The achievements of the software department of Vinnytsia National TechnicalUniversity in the preparation of computer graphics projects, which win internationalcompetitions abroad, are considered
Asymmetry Degree as a Tool for Comparing Interestingness Measures in Decision Making: The Case of Bayesian Confirmation Measures.

Bayesian Confirmation Measures are used to assess the degree to which an evidence E supports or contradicts a conclusion H, making use of prior probability P(H), posterior probability P(H|E) and of probability of evidence P(E). Many confirmation measures have been defined till now, their use being motivated in different ways depending on the framework. Comparisons of those measures have already been made but there is an increasing interest for a deeper investigation of relationships, differences and properties. Here we focus on symmetry properties of confirmation measures which are partly inspired by classical geometric symmetries. Measures which do not satisfy a specific symmetry condition may present a different level of asymmetry: we define an asymmetry measure, some examples of its evaluation providing a practical way to appraise the asymmetry degree for Bayesian Confirmation Measures that allows to uncover some of their features, similarities and differences.
Group Classes – Level B1.3 & B1.4 (Intermediate)

Group Classes - Level B1.3 & B1.4 Intermediate You are an Intermediate and you still have to study advanced forms of the language and several grammar matters. Your ability to express yourself in limited to familiar situations and you want to improve and deal in a general way with non-routinary information.
The Effectiveness of Genre-Based Instructional Model in the Teaching of Writing Skills Viewed from Creativity

This study was aimed at finding out the effectiveness of the genre-based instructional model in the teaching of writing skills viewed from students' creativity. This study employed a quasi-experimental research design. The samples consisted of two classes in which one class was treated by using the genre-based instructional (GBI) model and the second class was subjected to the process-based instruction (PBI) model. The writing test and creativity test were functioned as research instruments to collect the data in both classes. The data were analyzed using the multifactor analysis of variance (ANOVA). The research finding informed that the GBI model was more effective than the PBI model. It was proved with the value of sig. (0.008) was lower than sig. level 0.05. Thus, students having high creativity have better writing achievement than those who have low creativity and it was proved with the value of sign (0.000) was lower than sig. level 0.05. It means that the effect of instructional model and writing skills rests on the level of students' creativity. The finding indicates that there is a significant correlation between the instructional model being applied and creativity in the teaching of writing skills.
Do Software Code Smell Checkers Smell Themselves? : A Self Reflection

Code smells are defined as poor implementation and coding practices, and as a result decrease the overall quality of a source code. A number of code smell detection tools are available to automatic ...
Guides: Reading Comprehension Under Time Constraints: Strategies & Resources: Vocabulary

Strategies and resources for speed reading and reading comprehension on standardized tests under time constraints.
Study on the Innovation of College Career Planning Education From the Perspective of “Integration of Innovation & Entrepreneurship and Specialty Education”

With the popularization of higher education, college graduates are facing more and more employment pressure. In order to adapt to this new change, college career planning education must be integrated with innovation and entrepreneurship education. Aiming at solving the problems existing in the current college career planning education, this paper sorted out the logical relations between career planning education and innovation and entrepreneurship education, and explored the innovative mode of upgrading the college career planning education under the background of “integration of innovation & entrepreneur and specialty education”, which are helpful for alleviating unemployment pressure, improving the effect of education, and helping college students develop comprehensively with both integrity and expertise.
Webinar: A Strategy to EnhanceSpeaking Skill of Non-native EnglishSpeakers

Low competence in speaking for the students of Non-native English speakers has beencrucial challenge so far for the teachers in language teaching in Indonesia. This studyattempts to explore the effect of webinar applied in teaching speaking on Students ofNon-native English Speakers at one of Business schools in Surabaya. There are threeclasses observed in this study. Before the webinar was applied, the groups were giventest to check their proficiency. After conducting the webinar class, the post-test was givento the groups. The instruments to get the data was the oral test. The results reveal thatthere is an improvement on post test score in the two out of three classes observed. Incontrary, the last class has no improvement on their post test score. Moreover, barriersfound during the implementation of webinar in speaking class will be explored.
Penerapan program literasi digital melalui computational thinking dalam pembelajaran

Technological developments require elements of education to be more intense in utilizing it, especially in the educational element. The teacher as the main core of learning needs to improve the ability to be able to manage learning as intelligently as possible. Computational thinking is used as an integration of methods that need to be improved to develop learning through critical thinking and problem solving in students. This Community Service aims to utilize technology in using computers to improve thinking and change learning patterns. The method used in this community service is to provide training to PAUD teachers in Sleman. The results obtained were that PAUD teachers in Sleman had new experiences in operating and using computers to create more critical learning themes and increase knowledge in determining learning themes by applying computational thinking.
Multi-Modal Subjective Context Modelling and Recognition.

Applications like personal assistants need to be aware ofthe user's context, e.g., where they are, what they are doing, and with whom. Context information is usually inferred from sensor data, like GPS sensors and accelerometers on the user's smartphone. This prediction task is known as context recognition. A well-defined context model is fundamental for successful recognition. Existing models, however, have two major limitations. First, they focus on few aspects, like location or activity, meaning that recognition methods based onthem can only compute and leverage few inter-aspect correlations. Second, existing models typically assume that context is objective, whereas in most applications context is best viewed from the user's perspective. Neglecting these factors limits the usefulness of the context model and hinders recognition. We present a novel ontological context model that captures five dimensions, namely time, location, activity, social relations and object. Moreover, our model defines three levels of description(objective context, machine context and subjective context) that naturally support subjective annotations and this http URL initial context recognition experiment on real-world data hints at the promise of our model.
OPTIMASI KLASIFIKASI STATUS GIZI BALITA BERDASARKAN INDEKS ANTROPOMETRI MENGGUNAKAN ALGORITMA C4.5 ADABOOST CLASSIFICATION

Infant health can be known one of them through the assessment of nutritional status. In general, Body Mass Index (BMI) has been used as a method for measuring the nutritional status of children. If there are two children who have same body weight and height, they may have different nutritional status. Whenever this occurs, the use of BMI for measuring the nutritional status shall be deemed less accurate. The anthropometry will be vital in measuring the nutritional statuss. The guidelines for determining the nutritional status Anthropometry parameters are selected and recommended which includes an assessment of the age, weight, body length or height. This research aims to build a model of C4.5 adaboost so it can recognize patterns and be able to classify the nutritional status of children into five classes: normal, fat, very fat, thin and very thin. The variables used in this classification is Gender, Age (Months), Weight (kg) Height (cm). C4.5 (decision tree) Method has a good performance in dealing with the classification of nutritional status but the C4.5 has a weakness in the class imbalance. Adaboost isone ofboosting methods that could reduce imbalances class by giving weight to the level of classification error which may alter the distribution of data. Experiments carried out by applying the adaboost method C4.5 to obtain optimal results and a good degree of accuracy. The experimental results obtained from C4.5 method show that accuracy is 89.53%, the error rate is 10.47%, while the results of C4.5 with adaboost show 90.23% accuracy and 9.77% error rate. It can be concluded in the classification of nutritional status of children with C4.5 and adaboost proven method to solve problems of class imbalance and improve the high accuracy and can reduce the level of classification error.
Research Data Management Policy and Practice in China

&#x0D; On April 2, 2018, the State Council of China formally released a national research data management (RDM) policy â€œMeasures for Managing Scientific Dataâ€. Literature review shows that university libraries have played an important role in supporting Research Data Management at an institutional level in countries in North America, Europe and Australasia. The aim of this paper is to capture the current status of RDM in Chinese universities, in particular how university libraries have involved in taking the agenda forward.&#x0D; This paper uses mixed methods: a website analysis of university policies and services; a questionnaire for university librarians; and semi-structured interviews. Findings from website analysis and questionnaires indicate that RDS at a local level in Chinese Universities are in their infancy. On the whole there is more evidence of activity in developing data repositories than support services. Despite the existence of a national policy there remain significant barriers to further service development, such as the lag in the creation of local policy, insufficient funding for technical infrastructure, shortages of staff skills in data curation, and language barriers to international data sharing and open science. RDS in Chinese university libraries are still lagging behind the English-speaking countries and Europe.&#x0D;
The limitations of distance education in Spain during the 2020 Covid-19 pandemic

The widespread close down imposed on the Spanish population as a result of the Covid-19 health crisis has had radical consequences especially for children and youth who have seen their daily lives completely disrupted For many weeks, social contact was confined to family life in the home, occasional online interaction with extended family and friends, and access to educational and extracurricular activities which had been made available online with greater or lesser success It will take time for the consequences of this confinement for the lives of children and youth to emerge, and especially for the educational differences engendered by the transition to online teaching The crisis caused a sudden change from face-to-face teaching to distance education for all levels - preschool, compulsory and higher education, with no or little training or provision of resources Many students were cut off due to the digital divide associated either to unequal access to technology, generally due to economic and infrastructure issues such as internet connection, data or equipment limitations, but also due to the family's low level of cultural capital (little or no digital literacy) or lack of effective support at home or from the school This paper offers a first examination and discussion of the three types of digital divide (economic, cultural and institutional) in relation to the Spanish case and the context of school closures during the Covid-19 pandemic, and a preliminary review of the available evidence especially related to the most vulnerable groups Copyright © 2020 for this paper by its authors Use permitted under Creative Commons License Attribution 4 0 International (CC BY 4 0)
Rethinking democracy in the “pandemic society” a journey in search of the governance with, of and by AI

The COVID-19 outbreak had a swift and severe impact on our lives, and a subtle transformation is affecting Democracy as we are used to knowing it In this paper I argue that the “Pandemic Society” we are now experiencing magnifies a dilemma already evident in the recent evolution of digital government and governance: securing citizens' privacy or delivering better services - now including the protection of personal health In this scenario, while human interactions are being permanently modified by the mediation of technologies, and in particular the accelerated adoption of Artificial Intelligence, a fundamental question to be addressed is how to ensure digital resilience and collective well-being while safeguarding liberal democracy and individual rights Finding an answer to this challenge requires innovating the democratic settings and functioning of global governance arrangements in the digital age Yet too little is known about the chances and the conditions for AI to become supportive of the needed quantity and quality of democratic innovation in the forthcoming decades I thus elaborate on the quest for redesigning institutional frameworks to rethink and innovate our democratic systems and instruments for deliberation, where the AI phenomenon - under wide scrutiny now also at policy and public service levels - becomes crucial I conclude suggesting directions for further research and new avenues for policy design and governance in the age of digital transformation Copyright © 2020 for this paper by its authors Use permitted under Creative Commons License Attribution 4 0 International (CC BY 4 0)
Sina Mandarin Alphabetical Words:A Web-driven Code-mixing Lexical Resource

Mandarin Alphabetical Word (MAW) is one indispensable component of Modern Chinese that demonstrates unique code-mixing idiosyncrasies influenced by language exchanges. Yet, this interesting phenomenon has not been properly addressed and is mostly excluded from the Chinese language system. This paper addresses the core problem of MAW identification and proposes to construct a large collection of MAWs from Sina Weibo (SMAW) using an automatic web-based technique which includes rule-based identification, informatics-based extraction, as well as Baidu search engine validation. A collection of 16,207 qualified SMAWs are obtained using this technique along with an annotated corpus of more than 200,000 sentences for linguistic research and applicable inquiries.
Vehicle Detection and Speed Tracking Based on Object Detection

With the increase in the traffic and vehicles on road, there is a need for smart and intelligent traffic monitoring system and surveillance. A smart and intelligent traffic monitoring and surveillance system is basic requirement for the development of smart cities in India. This can be achieved by the detection of moving vehicles along with the speed tracking for detection of speed limit violations. This research paper shows some effective approach for the vehicle detection and estimation of their speed with the help of machine learning concept. The given methods are used to detect and track the speed of the vehicles passing through the traffic surveillance area.
Estimation of Viewpoint Direction and Viewing Angle Using EOG

This paper presents the feasibility study of EOG signal for the input signal of the man-machine system. This research focuses on the relationship between the eye movements and EOG signal. When the trial subjects look right, left, up and down, the EOG signal was measured and compared with the eye movements and later analyzed. We found that there was a linear relationship between the eye movements and EOG signal. The presented method demonstrates the high possibility of using EOG signal for the man-machine interface system.
Creating a prototype with the most important features in a mobile system for real estate brokers

Mspecs is a web application used by real estate brokers and is primarily used on devices with larger screens but it can also be used with a mobile phone. However, from a user perspective the mobile ...
Modeling the effects of intellectual capital components on the economic competitiveness, and assessing its consequences using a fuzzy cognitive map

Despite its known importance, relatively few studies have focused on studying the effects of Intellectual Capital Components (ICC) on the economic competitiveness, determining related elements and relationships exists between them to assess its consequences. This study was designed to provide a comprehensive evaluation of the problem. After a literature review, fifteen related elements, obtained from the previous studies, were collected. A Fuzzy Cognitive Map (FCM) was used to determine the relations exists between the elements, where the opinions of fifteen experts were applied when making related decisions. Data were analyzed using statistical analysis. The results showed relations exist between all fifteen elements, where all of them were confirmed using FCM representation.
Search interaction based on verbalization of thinking in information retrieval

A team based in the Faculty of Library, Information and Media Science at the University of Tsukuba is investigating a means of improving search engines by teaching them to listen to people's natural language. Their work will enable the development of fluid interactions with search engines of the future.
Cloud Ready Networks: How to Accelerate Modernization and Reduce Risk

State and local agencies are implementing cloud platforms and software-as-a-service solutions to modernize faster and meet emerging needs. But layering new cloud solutions atop existing data center...
Spammer Detection And Fake User Identification On Social Networks

Social networking destinations draw in great many users around the globe. The users' collaborations with these social locales, for example, Twitter and Facebook have a colossal effect and once in a while unwanted repercussions for day by day life. The noticeable social networking destinations have transformed into an objective stage for the spammers to scatter a gigantic measure of superfluous and injurious data. Twitter, for instance, has gotten one of the most luxuriously utilized foundation, all things considered, and in this manner permits a preposterous measure of spam. Fake users send undesired tweets to users to advance administrations or sites that influence authentic users as well as disturb asset utilization. Additionally, the chance of extending invalid data to users through fake characters has expanded that outcomes in the unrolling of destructive substance.