Reviewerly/exHarmony huggingface dataset:
Enhancing Agricultural Product Supply Chain Management Using Blockchain Technology: Concept

In traditional agricultural supply chain management, due to involvement of many stakeholders in the entire procedure ranging from farmers, retailers to final vendors, it is merely the producer of the agricultural products i.e., farmers get its direct benefit. The middle stakeholders are always more beneficial than farmers and hence, the conditions of farmers are always the same though they sometimes get good earning and it is becoming a very serious concern in India. The major reason behind it, the transparency and traceability of the entire supply chain of this agricultural products journey from farm to vendor shop. In addition, consumers are becoming more conscious of where their food and food products come from. Block chains have distributed ledger technology (DLT) which has potential to provide transparency and trust for agricultural product supply chains at its different stages and even useful for improving its efficiency. This can boost confidence of all stakeholders who are involved in this farming supply chain. This research paper proposes the same concept in its subsequent sections.
An Interdisciplinary Study of Cybersecurity Investment in the Nonprofit Sector

Cybersecurity is becoming a worldwide priority. It is critical for organizations to quantify losses from cybercrimes and make informed decisions on cybersecurity investments. This paper expands the body of knowledge in cybersecurity of nonprofit organizations (NPOs)—a less-researched area—by examining investment in NPOs’ cybersecurity from the business and economics perspectives. The authors combine two economics and risk management models to quantify the potential loss caused by a cyberattack. The paper provides a hypothetical example of applying the insights from the GL and FAIR risk models to assess the information assets of an NPO and calculating the optimal level of cybersecurity investment. Developing cybersecurity measures for NPOs is equally important as developing cybersecurity strategies, tools, and policies for large corporations or small businesses. Therefore, the findings of this paper can serve as decision-making tools for NPOs to evaluate information security assets, estimate the potential loss caused by cyberattacks, and determine the optimal investment value in cybersecurity measures.
A Comparison Between Backpropagation, Holt-Winter, and Polynomial Regression Methods in Forecasting Dog Bites Cases in Bali

Rabies is a zoonotic disease that is usually transmitted to humans through animal bites. It can cause severe damage to the central nervous system and is generally fatal. Dog bite cases are considered the leading cause of rabies transmission in Bali. The government's preventive action is expected to reduce the problem of increasing the number of dog bite cases so that it does not spread quickly and cause casualties. Data mining is an attempt to extract knowledge from a set of data. The use of data mining in this study is to forecast the number of dog bite cases in Bali. Forecasting predicts what will happen in the future based on relevant data in the past and placing it in a mathematical model. Data mining methods used in forecasting dog bite cases are backpropagation, holt-winters, polynomial regression methods. This forecasting aims to help the government predict dog bite cases in the coming period to prepare appropriate countermeasures. Forecasting is done using data on bite cases every month in Bali province for five years, from 2015 to 2019. Dog bite case data is divided into four datasets for each attribute, namely data on the number of dog bite cases, the number of vaccinations, the number of male deaths, the number of female deaths. The four datasets are divided into training data and testing data to share 80% training data and 20% testing data. The results obtained are that the backpropagation method is better at predicting dog bite case data with an average MAPE error rate of 11.59%, while the holt-winters method has an average MAPE error rate of 16.05%, and the polynomial regression method has an average MAPE error rate of 19.91%&#x0D; Keywords : Dog Bites, Rabies, Forecasting, Backpropagation, Holt-Winter, Polynomial Regression
Formalizing the Goal-directed and Context-based Software Process Tailoring Method

Hybrid software processes are defined as a combination of practices from traditional and agile methodologies. Most software development companies currently apply this kind of process; however, the appropriate combination of practices is not often clear. To address this issue, we have proposed DynaTail in a previous study, i.e., a method for tailoring a software process and its practices to a particular context to improve a certain characteristic. In this work, we use an MDE approach to formalize all the artifacts involved in DynaTail: processes, context, practices influencing goals, and tailoring transformations. This model-based formalization lays the base for building supporting tools. We illustrate all models with a running example from a Chilean medium-size software development company.
Analytical Anthropology of Peter Hacker

Purpose. The article is an explication of the features of the anthropological teaching of Peter Hacker in the context of analytical philosophy with consideration to the context of European philosophy within the framework of the Oxford School of ordinary language philosophy. The theoretical basis of the research is determined by the latest research in the English-language analytical philosophical tradition, rethinking the place of anthropological problems in the system of philosophical knowledge. Originality. Referring to primary sources, we reconstructed the philosophical and anthropological teaching of Peter Hacker in the unity of its basic principles and theoretical and practical results. We determined philosophical origins of the key ideas of his philosophical anthropology and substantiated their originality, systematicity and logical argumentation. His philosophical position is defined as anthropological holism, synthesizing the reinterpreted ideas of Aristotle and Wittgenstein. Conclusions. Peter Hacker is the creator of the original version of Analytic Philosophical Anthropology. His anthropology is based on criticism of Cartesian dualism and physicalism, which underlie modern neurosciences and which he tries to overcome on the basis of Wittgenstein’s philosophical "logotherapy". The conceptual framework of his holistic anthropology is a rethought conceptual scheme of the Ordinary language philosophy. Hacker considers consciousness not as a separate mental reality, but one of the powers of human nature – an intellectual ability, which, along with emotional (passionate) and moral, belongs to a person as an integral socio-biological being. Asserting the free will of man, the Oxford thinker criticizes various forms of determinism, especially its most common form in modern science – neurobiological determinism, which is built on false philosophical foundations. This criticism allows the modern British philosopher to build an original, systematic and logically consistent anthropological concept that asserts the immutability of the highest human values – goodness, love and happiness.
Scientific and methodological support of pedagogical workers in the process of interaction of a pedagogical university and basic schools

The article considers the problem of including universities in the continuous development of pedagogical workers and proposes a model of a scientific and methodological center for supporting of pedagogical workers. The purpose of the article is to describe the model of the scientific and methodological center for supporting pedagogical workers in the process of interaction between a pedagogical university and basic schools, which allows the university to be included in the regional system of continuous development of pedagogical workers. The authors consider the scientific and methodological center for support of pedagogical workers, created on the basis of the university, as a system-forming element of the system of interaction between the university and basic schools, which makes it possible to ensure the coordination of actions of the pedagogical university, regional government bodies, professional associations (communities) of teachers and basic schools. The article reveals the main elements of the center model (principles, directions and lines of interaction, functions and interaction mechanisms) that determine its effectiveness. The proposed model was developed in the course of a study conducted on the basis of the Novosibirsk State Pedagogical University in 2021.
The Use of Text Mining for Classification of Product Selling Content in Social Media Female Daily

Female Daily Network is a company engaged in social media. Female Daily has social media to share experiences using beauty products called Female Daily. Female Daily has regulations not to use the Female Daily Platform to promote, sell products and services on social media platforms in Female Daily. However, users on Female Daily sometimes violate these rules in their posts and cause other users to be annoyed about it. Admins at Female Daily have difficulty identifying users who violate these rules and ban their posts containing product sales due to the limited number of admins with the number of posts that enter each day. Text mining can also overcome this problem by determining the classification automatically by creating a system that carries out the learning process from the available post words. Algorithms that can be used to carry out the text mining process in this research are Support Vector Machine (SVM), Naïve Bayes (NB), Decision Tree (DT), and Random Forest (RF). This study uses a combination of feature extraction, contextual features, and data balancing. This study uses research scenarios to analyze feature extraction, contextual feature usage, and data balancing. The best algorithm seen from the recall value in the combination of algorithms and features of this research is the Random Forest TF-IDF Unigram and uses additional contextual features to detect money and selling words with balanced data. The recall value of 88.37% is obtained from the results of the combination of these algorithms and features.
The Curious Case of the $8 Million Carnegie Library Heist

This paper discusses and analyzes the Carnegie Library heist by Greg Priore, assisted by John Schulman, the owner of Caliban Book Shop. The essay outlines the sequence of events that led up to the arrest and conviction of these two individuals. The article then reviews the lists of insider threat indicators that several authors have proposed. Third, the insider threat indicators that would have identified Greg Priore were highlighted. Best practices to recognize an insider threat actor are described. Finally, the article concludes by stating potential lessons learned and observing that focusing on security is a dynamic process where constant vigilance is essential.
Pengaruh Keterlibatan Akademik dan Kesiapan Digital Terhadap Prestasi Akademik Pada Pembelajaran Online

The aims of this study were to determine: (1) the effect of academic involvement on academic achievement in online learning; and (2) the effect of digital readiness on academic achievement in online learning. The COVID-19 pandemic that occurred in Indonesia had an impact on the education sector. Learning that was previously done face-to-face in class must be replaced with online learning. This research is a quantitative research using multiple regression analysis using SPSS software with a sample of 80 respondents. The sampling technique used is simple random sampling. The results of this study conclude that academic engagement does not have a significant effect on academic achievement in online learning and digital readiness does not have a significant effect on academic achievement in online learning. Therefore, academic engagement and digital readiness are not predictors of academic achievement in online learning.
Learning English at Elementary School Level Using Computer Base Intraction (CBI) Method

This study describes the collaboration of technological developments with learning systems in elementary schools with the sophistication of technology, it is easier for teachers to deliver learning materials to students without face to face. Authors get is that in the process of making a new system, it can be seen that to compile good information, the steps that need to be taken are to study the existing system, then design a system that can solve the problem, and finally implement the designed system.
Tackling neural machine translation in low-resource settings: a Portuguese case study

Neural machine translation (NMT) nowadays requires an increasing amount of data and computational power, so succeeding in this task with limited data and using a single GPU might be challenging. Strategies such as the use of pre-trained word embeddings, subword embeddings, and data augmentation solutions can potentially address some issues faced in low-resource experimental settings, but their impact on the quality of translations is unclear. This work evaluates some of these strategies on two low-resource experiments beyond just reporting BLEU: errors are categorized on the Portuguese-English pair with the help of a translator, considering semantic and syntactic aspects. The BPE subword approach has shown to be the most effective solution, allowing a BLEU increase of 59% p.p. compared to the standard Transformer.
Preliminary design and experimental tests of a real-time stereoscopic foveated vision system

This article describes the preliminary tests conducted on a real-time vision system for a humanoid robot with foveated stereoscopic vision. Two high performance camera models were tested to validate the proposal. The system is designed with the Debian Preempt RT as its real-time operating system. A cyclical algorithm is used to acquire statistical data from our system and to show its real time behavior. The experimental results illustrate the satisfactory performance of the vision system.
Contribution of Interesting Facial Parts on Gender Recognition System Performance

Recently, the gender recognition system is very important for interaction applications such as consultation questions, legal gender access.There are many research works which used facial information to detect the gender type.One of the most interesting research works is Azzopardi work who used bank of Gabor filters to segment randomly-chosen sub faces.In this research, his proposed model is evaluated on manually-chosen interesting sub-faces such as eye, eyebrow, nose, mouth and mixture of all sub-faces.The observed results showed enhancement in classification accuracy that achieved 95.10% by selecting all the interesting parts of facial image.
The Efficacy, Equity and Externalities of Australia’s COVIDSafe App as a Policy Intervention during the COVID-19 Pandemic: Was It Sunscreen or Tanning Lotion?

Digital contact tracing apps, such as the COVIDSafe App in Australia, have been rapidly implemented by many governments as a public policy solution to increase the efficiency of health screening testing during the COVID-19 viral pandemic. This article analyses how the COVIDSafe App’s unresolved efficacy and equity issues and the cybersecurity and privacy externalities it imposes onto Australians have prevented the App from making a significant positive contribution towards reducing the impact of the pandemic in Australia. It attributes some of the failure of Bluetooth-based digital contract tracing apps to their mis-characterisation as a Lessigean ‘code as law’ policy response, arguing instead that such apps are more complex and fragile cyber-physical systems requiring more analysis prior to implementation.
Classical Capacity Regions for Generalized Pauli Channels

Computing the classical capacity of arbitrary quantum channels is a computationally expensive task. We first review a recently proposed lower bound on the classical capacity of the generalized Pauli channel. Then, we evaluate another recent result that upper bounds the classical capacity of quantum channels. These two bounds together allow us to characterize the capacity regions for generalized Pauli channels. We present numerical examples and propose some future works.
SEMIGRUP REGULER DAN SIFAT-SIFATNYA

This article discusses some properties of regular semigroups. These properties are especially concerned with the relation of the regular semigroups to ideals, subsemigroups, groups, idempoten semigroups and invers semigroups. In addition, this paper also discusses the Cartesian product of two regular semigroups.&#x0D; &#x0D; Keywords:ideal, idempoten semigroup, inverse semigroup, regular semigroup, subsemigroup.
Note on one inequality and its application in intuitionistic fuzzy sets theory. Part 2

In the paper, the inequality \frac{\mu^{\frac{1}{\nu}}}{\nu} + \frac{\nu^{\frac{1}{\mu}}}{\mu} \leq \frac{1}{2\mu\nu} - 1 is introduced and proved. The same inequality is valid for \mu = \mu_A(x), \nu = \nu_A(x), where \mu_A and \nu_A are the membership and the non-membership functions of an arbitrary intuitionistic fuzzy set A over a fixed universe E and x \in E.
Verification of Korean Pre-trained Models' Feasibility of Syntactic Research Using Pairwise Sentences

Syntactic studies make use of the minimally pairwise sentences as an argumentation tool, because the pairs allow us to pay attention to the constraints of interest. Likewise, it is helpful to use a set of minimal pairs in deep learning-based experiments for assessing the syntactic ability of neural language models. In this context, this study verifies whether the deep learning Korean model has the ability to properly distinguish the well-formed expressions and the corresponding ill-formed expressions. In the meanwhile, this study serves to examine the feasibility of the language resource constructed by the Korean government for deep learning architecture. The research is three-fold. First, we conducted an acceptability judgment testing to verify whether and how the language resource used in this study is indeed trustworthy. The results indicate that the judgments provided in the language resource converge with the judgments of our own experiment well enough. Second, we employed four Korean models such as mBERT, KoBERT, KR-BERT, KorBERT in order to evaluate how the language resource has a potentiality to predict the well-formedness of Korean expressions. The different models yield different results, the reason of which is fully discussed. Third, we made use of an independent test-set for evaluating the deep learning systems. It turns out that the results are still challenging, which implies that the current Korean models may have room for improvement to understand the syntactic phenomena.
Evaluasi Pada Pengelolaan, Pemanfaatan, Dan Pelestarian Cagar Budaya Berkelanjutan Pada Situs Majapahit, Trowulan

Archaeological remainin at Trowulan site, Mojokerto are one of the important assets in the world of Indonesia archaeology because it holds many valuable lessons from the past. Currently the Trowulan Site has not been able to show a big role for the wider community. This can be seen from the lack of awareness and socialization to the community. The problem raised in this study is how the implementation of management, utilization, and preservation is very necessary in establishing cooperation for the sustainability of archaeological remaining in heritage sites of the Majapahit Kingdom in Trowulan, Mojokerto. This study aims to see the implementation of the management, utilization, and preservation of the Majapahit Trowulan site as an archaeological site that has the potential to be developed. This study uses a descriptive analytic approach by observing the community around the Majapahit site in Trowulan. The data collection technique used a documentation study in the form of a map of the distribution of the Majapahit site in Trowulan and a literature study through previous research. The analysis used in this research is interactive analysis. The purpose of this study is to preserve the heritage sites of the Majapahit Kingdom by protecting the site such as rescue and security, zoning, maintenance and restoration for sustainable for generation to generation. These conservation efforts have been implemented but also still face a lot of obstacles such as human resources.
Handling the Deviation from Isometry Between Domains and Languages in Word Embeddings: Applications to Biomedical Text Translation

Previous literature has shown that it is possible to align word embeddings from different languages with unsupervised methods based on a distance-preserving mapping, with the assumption that the embeddings are isometric. However, these methods seem to work only when both embeddings are trained on the same domain. Nonetheless, we hypothesize that the deviation from isometry might be reduced between relevant subsets of embeddings from different domains, which would allow to partially align them. To support our hypothesis, we leverage the Bottleneck distance, a topological data analysis tool used to approximate the deviation from isometry. We also propose a cross-domain and cross-lingual unsupervised alignment method based on a proxy embedding, as a first step towards new cross-lingual alignment methods that generalize to different domains. Results of such a method on translation tasks show that unsupervised alignment methods are not doomed to fail in a cross-domain setting. We obtain BLEU-1 scores ranging from 0.38 to 0.50 on translation tasks, where previous fully unsupervised alignment methods obtain near-zero scores in cross-domain settings.
Development of cooperation in Belarus and formation of personnel potential of the Belarusian State University in the 1920s

The relevance of the problems of cooperative construction in the formation of Belarusian scientific schools is determined. The role of the Belarusian State University in the development of problems of cooperation in the 1920s is characterised. The activity of S. L. Pevsner as a representative of the economic thought of the 1920s is studied. In the perspective of «history through personality», the problems of the formation of the personnel potential of Belarusian State University are revealed. The relations between the management and the teaching staff of the university, the status and issues of material well-being of teachers invited to Belarusian State University are characterised. The conclusion is made about a significant personnel shortage and the presence of serious competition in the personnel sphere of university science in the 1920s with the development of higher education in the USSR.
The media and policymaking in Africa

The media or the Fourth Estate plays a crucial role in public accountability and influencing policy agenda. Using the agenda-setting theory, this chapter explores the relevance of this argument in Africa with specific reference to South Africa and Nigeria. It assesses how the media in the two countries influenced economic development policy and institutional stances in response to the 2008 world economic recession and the 2019/20 COVID-19 pandemic. While agreeing with the fundamental premise that South Africa and Nigeria have a vibrant media landscape, this chapter focuses on a larger question: the need for the media to address the lack of educational value in the realm of economic development. It contends that the media fraternity in both countries failed to educate citizens about economic development processes in the public policy arena. Moreover, the apparent poverty and misuse of economic development resources speak to the poor educational value of the media fraternity in both states. It concludes that the media hardly impacts economic development policy and institutional arrangements.