Reviewerly/exHarmony huggingface dataset:
Inadequacy of IT Approaches to Manage Cyber Security in ICS Context

The paper “Inadequacy of IT approaches to manage cyber security in ICS context” gives an overview of the application of different IT solutions to deal with cyber security for industrial control systems (ICSs). The real time aspect is important for ICSs to monitor and control effectively different processes. On the other hand, some traditional IT solutions for cyber security do not comply with it. After a careful analysis, it is concluded that there is no ISO 27001 requirement to meet the “non interference” cyber security goal, used by the working group PCSRF in the System Protection Profile for ICSs to ensure that the security functions are implemented in a non-interfering way and do not affect the performance constraints of ICSs. Therefore, a new component, called “Cyber Safety”, is proposed to be added to the existing ones (confidentiality, integrity and availability). Its role would be to check the safety requirements (controls or measures) before their implementations. It is proposed a new model for the management of the cyber security risks that reuses existing results issued from the safety risk analysis and may add safety requirements.
Analisis Kesesuaian Buku Guru Dan Buku Siswa Tematik Kelas II Tema 4 Hidup Bersih Dan Sehat Di Sekolah Dasar Dengan Kurikulum 2013

This study aims to describe cross analysis of Teacher's Book and Thematic Student Book Class II grade 4 on Theme Clean and Healthy Living in terms of KI, KD, learning objectives and learning activities in each content in the 2013 curriculum. The library research method uses a qualitative descriptive approach. Primary data sources for the study of Class II Thematic grade 4, secondary data sources of Taxonomy Bloom Anderson and Krathwohl revision and Permendikbud No. 24 of 2016. Data collection techniques using observation and documentation. The validity of the data used source triangulation. The instrument uses a checklist. Data analysis techniques used interactive analysis models from Miles and Huberman. 1) Based on the analysis of KI data, it shows that there is a difference between KI 3 and KI 4 and Permendikbud No. 24 of 2016. 2) Based on the analysis of KD data which shows 4 out of 12 KD in each subtema, which is in accordance with Permendikbud No. 24 of 2016 and the percentage of KD conformity in the class II teacher book theme 4 (clean and healthy life) is 33 33%. 3) The learning objectives listed in the teacher's book still have errors such as incomplete ABCD elements, ambiguous learning objective sentences, and learning objectives in the teacher's book that do not match the material in student books. 4) Learning activities show a mismatch between teacher books and student books in some lessons.
Kovalev passive rangefinder

The authors present the results of longtime research on the development and improvement of a passive geodetic rangefinder based on the inbasis method of distance measurement. Actually, active laser range finders are not always effective at field works. An original compact optical scheme of a passive rangefinder based on a theodolite telescope and a mould photo receiver with application of digital methods for coordinate calculation is proposed. The distance and dimensions of the object are defined. The former is identified by the shift between the images on the horizontal axis. The merit of such a system is the absence of mechanical displacements. Its main advantage is an extremely simple optical path. The technical result is reduction in overall dimensions and weight, while maintaining an acceptable error in the passive range measurement. The use of Kovalev passive rangefinder is promising at performing geodetic measurements with total stations. There is also a description of the rangefinder sample as well as the calculations results according to the distance measurement accuracy.
A Bilingual Education Blueprint for the Preparation of Teachers and Integration of Bilingual Teaching Strategies at the Affiliated High School of National Chengchi University (AHSNCCU)

The Affiliated High School of National Chengchi University (AHSNCCU) has created a blueprint in addressing the perceived problems during the planning, implementation, and evaluation stages of its own bilingual education program. At this stage, the AHSNCCU is preparing its teachers in meeting the demands of implementing its bilingual education program in the future. This study features the school’s bilingual education program framework, and the preparation of teachers in becoming bilingual teachers.
TERTIARY INSTITUTION STUDENTS’ PERCEIVED PREPAREDNESS TO ADOPT MOBILE-LEARNING TECHNOLOGY INNOVATION: EVIDENCE FROM OYO STATE, NIGERIA

Modern telecommunication technology devices, tools and applications have become mobile-learning (m-learning) platforms for learning and innovative teaching strategies. Such technologies are adaptable to tertiary education for both open and distance learning (ODL) as well as blended learning in the conventional school environment. However, it has been observed that most tertiary institutions are still engrossed in face-to-face teaching and learning approaches in a situation where most of the students are perceived to be digital natives with perceived high potentials for technology adoption. Therefore, this study investigated tertiary institution students’ perceived preparedness to adopt Mobile-Learning Technology (MLT) innovation in Oyo State, South-Western, Nigeria. On the threshold of mobile technology adaptation theorems of Prensky (2001) and Judge, Puckett and Bell (2006), which classifies students born after 1985 as digital natives, and those born before 1985 as digital immigrants, the study adopted ex-post facto research design of descriptive survey type; it involves a total sample of 450 tertiary institution students from three public institutions in Oyo State. Data was collected using a duly validated researcher-designed instrument, titled ‘Tertiary Institution Students Mobile-Learning Questionnaire’ (TISMLQ) with a reliability coefficient of r=0.84. It measures students’ self-efficacy on use of mobile technology and level of preparedness towards of mobile-learning technology adoption. Data collected was analysed using descriptive and inferential statistics. Findings revealed perceived high self-efficacy on the use of mobile technology, and very high rate of mobile phone-ownership, especially the use of smart phones. The study concluded that, tertiary institution students are highly prepared to adopt mobile-learning technology. Hence, it was recommended that, tertiary institution lecturers should explore curriculum integrating of mobile-learning, while students should channel mobile phone use towards academic activities. Lastly, workable institutional Information Technology (IT) policy should be implemented by tertiary institutional leaders in Oyo State.
MUCS@LT-EDI-EACL2021:CoHope-Hope Speech Detection for Equality, Diversity, and Inclusion in Code-Mixed Texts

This paper describes the models submitted by the team MUCS for “Hope Speech Detection for Equality, Diversity, and Inclusion-EACL 2021” shared task that aims at classifying a comment / post in English and code-mixed texts in two language pairs, namely, Tamil-English (Ta-En) and Malayalam-English (Ma-En) into one of the three predefined categories, namely, “Hope_speech”, “Non_hope_speech”, and “other_languages”. Three models namely, CoHope-ML, CoHope-NN, and CoHope-TL based on Ensemble of classifiers, Keras Neural Network (NN) and BiLSTM with Conv1d model respectively are proposed for the shared task. CoHope-ML, CoHope-NN models are trained on a feature set comprised of char sequences extracted from sentences combined with words for Ma-En and Ta-En code-mixed texts and a combination of word and char ngrams along with syntactic word ngrams for English text. CoHope-TL model consists of three major parts: training tokenizer, BERT Language Model (LM) training and then using pre-trained BERT LM as weights in BiLSTM-Conv1d model. Out of three proposed models, CoHope-ML model (best among our models) obtained 1st, 2nd, and 3rd ranks with weighted F1-scores of 0.85, 0.92, and 0.59 for Ma-En, English and Ta-En texts respectively.
Recommendation System for Risk Assessment in Requirements Engineering of Software with Tropos Goal–Risk Model

Requirements engineering is an aspect of software process models that plays a crucial role in eliciting the requirements of a system. Requirements may carry risks in terms of cost, time and effort and budgets when they are not acquired properly. In other words, there might be risks associated with a requirement. Unless it is identified in the requirements engineering phase, it passes to other phases of the system development life cycle, causing potential risks to a software development company in terms of cost and budget overruns, in addition to jeopardising customer satisfaction. Therefore, risk assessment in this phase is crucial for overcoming the aforementioned problems. Traditional risk analysis focused on technical aspects of the system, its fault tolerance and service availability. However, these risks force the life cycle of the system to be repeated. Instead, risk assessment in the requirements engineering process can save time and effort as the requirements can be validated prior to moving to subsequent phases. The early detection of risks can help the development team to take corrective measures with comparatively little effort and cost. Goal-driven risk assessment and the Tropos goal model are exploited in this chapter to have cost and risk analysis in the requirements engineering phase. The recommendation system, which is based on a Goal-driven approach, considers a set of goals, events, and treatments to have a formal analysis of risks. An algorithm is proposed to have risk analysis in this chapter. We built a prototype application to demonstrate the proof of the concept. Our experimental results revealed that the proposed risk assessment model is useful and shows better performance over its predecessors.
Saying Just Enough

The chapter discusses efficient use of the limited shared workspace and how interlocutors work together to achieve it. We introduce the notion of commentary (both positive and negative) that reflects interlocutors' confidence in focal alignment. We show how positive commentary leads directly to succinct expressions and negative commentary leads to fuller expressions. As a result, positive and negative commentary promote alignment while minimizing collaborative effort.
The Music Librarian as a Copyright Coach

Music librarianship is a complex subfield that requires a good deal of specialized knowledge. The diverse and sometimes unique formats that a music librarian must acquire and describe, as well as t...
Cold case review & analysis: Constructivist learning in forensic science through collaboration with law enforcement agencies.

Despite technological advancements and improved methodologies in forensic science and investigative practices, cold cases are a growing problem in the United States. Although there has been a surge in interest in solving cold cases due to advancements in technology, there has been very little research conducted on cold case investigation methodology. Many agencies lack the personnel and resources to devote adequate attention to cold cases. Federal dollars spent on cold case resolution in recent years focused only on those cases that could benefit due to improvements in DNA analysis techniques. The literature demonstrates that advances in other forensic disciplines can provide answers in unsolved crimes.  In addition to inherent contributions to investigative invigoration and cold case resolution, collegiate cold case collaborations serve as a template for experiential and transformative illumination of unintended perceptual biases, investigative myopathy, and cognition fatigue. Such endeavors also provide practical insights into the sentinel importance of collaborator diversity, informed creativity, and objective analytics in both actively evolving and cold case investigations. This paper discusses the development of best practices guidelines for a cold case program in a collegiate setting.
Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection

In deployment, systems that use speech as input must make use of automated transcriptions. Yet, typically when these systems are evaluated, gold transcriptions are assumed. We explicitly examine the impact of transcription errors on the downstream performance of a multi-modal system on three related tasks from three datasets: emotion, sarcasm, and personality detection. We include three separate transcription tools and show that while all automated transcriptions propagate errors that substantially impact downstream performance, the open-source tools fair worse than the paid tool, though not always straightforwardly, and word error rates do not correlate well with downstream performance. We further find that the inclusion of audio features partially mitigates transcription errors, but that a naive usage of a multi-task setup does not.
Combination of temporal and spatial denoising methods for cine MRI

In this paper, we propose a denoising method for cine MRI acquired by MoPS. The MoPS-based cine MRI has a high FPS but contains reconstruction noise. DISPEL, a conventional method, performs denoising in the temporal domain. A neural network is further introduced to remove spatial noise. Different from most those methods requiring noisy and clean images, we choose an unsupervised scheme, N2N. We combine these two methods to perform temporal and spatial denoising for cine MRI. Experimental results show that the proposed method is able to remove noise from cine MRIs acquired by MoPS without removing tissue signal.
MOVIE RECOMMENDATION SYSTEM

In this digital era that we live in, Recommendation systems have become a part and parcel of our everyday lives. There are tons of options out there for everything that we do and people might find themselves in a difficult place while making a choice, ‘a perfect one!’ This is where the Recommendation Systems step in. Internet Giants such as Amazon, Netflix, YouTube, Spotify, Facebook etc can be seen using these technologies to keep their audience interested. So, through this work, we attempt to build a simple movie recommendation system employing the famous technique‘User-User Collaborative Filtering’ and design a GUI for the same.
Coherent superposition based single-channel color image encryption using gamma distribution and biometric phase keys

A new coherent superposition based single-channel color image encryption using gamma distribution and biometric phase keys, is proposed. In this method, first the original color image is split into <i>R, G</i>, and <i>B</i> channels and corresponding iris print image is also split into <i>R, G</i>, and <i>B</i> channels. Second, each channel of iris print image is phase encoded to use as biometric phase key. Third, the biometric phase key of each channel is independently multiplied with gamma distribution phase mask. Finally the original color channel can be directly separated into two phase masks: one is a combination of gamma distribution and biometric phase keys and the other is a modulation of the combination by the original color channel. The remarkable benefit of the proposed scheme is introduction of gamma distribution and biometric phase keys. The proposed system can be implemented by using a simple hybrid optoelectronic system. Numerical simulation results validate the feasibility and effectiveness of the proposed method.
Network-Based Hiring: Local Benefits; Global Costs

Entrepreneurs, particularly in the developing world, often hire from their networks: friends, family, and resulting referrals. Network hiring has two benefits, documented extensively in the empirical literature: entrepreneurs know more about the ability of their network (and indeed they are often positively selected), and network members may be less likely to engage in moral hazard. We study theoretically how network hiring affects the size and composition (i.e., whether to hire friends or strangers) of the firm. Our primary result is that network hiring, while locally beneficial, can be globally inefficient. Because of the existence of a network, entrepreneurs set inefficiently low wages, firms are weakly too small, rely too much on networks for hiring, and resulting welfare losses increase in the quality of the network. Further, if entrepreneurs are uncertain about the true quality of the external labor market, the economy may become stuck in an information poverty trap where forward-looking entrepreneurs or even entrepreneurs in a market with social learning never learn the correct distribution of stranger ability, exacerbating welfare losses. We show that the poverty trap can worsen when network referrals are of higher quality.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
PERENCANAAN ULANG SISTEM DRAINASE BERWAWASAN LINGKUNGAN DI KAWASAN RW 08 KELURAHAN SUKUN KECAMATAN SUKUN KOTA MALANG JAWA TIMUR

Road drainage is needed to prevent inundation. Inundation occurs due to the construction of drainage channels that are not in accordance with the discharege of rainwater runoff so that the water overflows and there is a puddle on the road. The purpose of this thesis is to design an environmentally drainage canal, evaluate the hydraulic aspects of the drainage buildings, calculate construction costs, and plan scheduling. The data needed are topographic maps, rainfall data from the 3 closest stations: Dau, Wagir, and Tajinan in 2009 until 2018, and the price of the Malang City work principal in 2018. The data is processed using the Gumbel I method, suitability test with Chi method –Square and Smirnov-Kolmogorov by a period of 5 years, rain intensity with the Mononobe method and design flood discharge with the rational method. The calculation results the design rainfall is 108.579 mm/day; discharge channel varies from 0.006 m3/s until 1.516 m3/s; environmentally drainage using infiltration wells with dimensions of 0.6 meters with a depth of 3 meters, and obtained infiltration well discharge 0.0233 m3/s; channel dimensions of 1 m x 1.1 m with freeboard 0.2 m.
Experiencias de innovación educativa - Tomo 3

This time we have twelve wonderful projects, with the inclusion of new types of projects such as interactive books, training simulators and diagnostic software. We are also working with new methodologies for learning, which had not previously been used in the other projects, such as educational storytelling and authentic learning.
Тенденції розвитку освітянських бібліотек в контексті проєктування інформаційно-освітнього середовища та електронних ресурсів

The information and educational Environment of a higher Education institution is considered as a Complex multilevel Concept, in the Structure of which the Following structural Components are distinguished: managerial, semantic, organizational and technological. The key Aspects of the Definition of the Concept of electronic Rresources in Line with modern Eeducation are highlighted.
Who is Liable for Cryptocurrency Consensus Mechanism (Mis)Representations?

Cryptocurrencies are based on cryptography-signed transactions propagated peer-to-peer to be validated in a distributed manner according to consensus mechanisms in compliance with consented protocols. The performance of the consensus mechanism is crucial for a consistent, available, and fault-tolerant cryptocurrency ledger. The quality of consensus mechanisms is communicated by various representations such as narratives, mathematical models, visual illustrations, pseudocode and code. Sometimes, these representations are misleading, which can cause harm to those relying on them. This paper discusses legal liability for misrepresentations of cryptocurrency consensus mechanisms and finds that, inter alia, protocol developers, professionals, and trading platforms can be liable.
PROJECT MANAGEMENT AND ACCELERATION MECHANISMS AS A DEVELOPMENT DIRECTION OF BUSINESS THINKING OF YOUNG ENTREPRENEURS

The purpose is on the example of the results of the study of the formation of the components of business thinking among students of the Kaluga branch of RANEPA, systematically engaged in project activities, involved by the university in the work of the All-Russian accelerator of social initiatives RAISE, to show the effects of introducing the project method into the educational process, the dynamics of the development of business thinking of young entrepreneurs. Research methodology: the practice, current trends and prospects for the development of acceleration programs in Russia and abroad are studied. The social effects of the introduction of project management and acceleration mechanisms for supporting young entrepreneurs' initiatives into the educational process are revealed, the analysis of the level of formation of the components of business thinking (entrepreneurial thinking) of 3-4-year students studying in the direction of training "Organization Management" participating in the All-Russian accelerator is carried out social initiatives of RAISE for at least a year, included in the implementation of social projects using an entrepreneurial approach. As a result, the main expectations of startups for the structure and content of modern acceleration programs are determined. The positive dynamics of the development of cognitive, operational, value-semantic components of the business thinking of students who implement social projects using an entrepreneurial approach through participation in the All-Russian accelerator of social initiatives RAISE are noted.
'Reversed Favoritism' – Resolving the Puzzle of Discriminatory Taxation in African Agriculture

The political economy literature highlights the redistribution of resources to political support groups – often along regional or ethnic lines – as a dominant feature of political systems. Against this assumption, Kasara (2007) documents a puzzling result of discriminatory rent extraction by political leaders from farmers in their ethnic home region. Linking a new database on the ethnic and regional affiliation of political leaders to fine-grained survey data, I disentangle ethnic and regional affiliations and show that their intersection explains the phenomenon which I will label in the following “reversed favoritism.” More specifically, I provide evidence that agricultural price hikes indeed do not reduce poverty among co-ethnic farmers in the leader’s birth region. Results indicate that farmers are aware of the unfavorable taxation as they express lower tax support. Yet, leaders seem to act politically rational as they only apply this treatment in regions where they enjoy high trust. An exploratory analysis suggests that the counter-intuitive support of discriminatory policies can be explained by transfers in other areas, namely development aid.
The Optimization of Intelligent Community Management Model Based on Cloud Computing

Cloud computing, as a service related to big data and the Internet, can effectively coordinate many resources, information and data to form an open, unified and integrated virtual sharing and service platform. The platform can more efficiently and conveniently solve various community affairs and the basic needs of the people. At present, the most researches focus on the application and function of cloud computing in various fields, and seldom pay attention to various hidden dangers of cloud computing application. Based on the general model of intelligent community cloud management, this paper explores the hidden dangers of cloud computing operation, application and service to community management, analyzes the functional relationship between cloud computing and community cloud management, and further optimizes the community cloud management mode from the perspectives of cloud monitoring, cloud management and cloud services.