Reviewerly/exHarmony huggingface dataset:
Challenges of an educational organization in times of COVID-19 and the contribution of the learning organization

This study aims to present the challenges faced by educational organizations in times of Covid-19 and the contribution of the Learning Organization in the teaching-learning process. It presents a literature review through data from papers which describe the difficulties faced by educational organizations during the pandemic period and the role of Learning Organizations in that scenario. Through this analysis, it is hoped to create new ways of delivering content related to learning and working, rethinking evaluation systems, adopting various technological resources and constantly seeking to acquire new knowledge and skills that can contribute to minimize the impacts generated in the recent pandemic scenario.
CTSSeg: Consistent Teacher-Student model for magnetic resonance image Segmentation

Segmentation of magnetic resonance images is an essential way of measuring the volume of tissues and lesions, which can improve the efficiency of diagnosis. The mainstream image segmentation methods are based on deep learning, which requires a large amount of labeled data. However, labeling magnetic resonance images is expensive and time-consuming. Therefore, we propose a consistent teacher-student model for magnetic resonance image segmentation, which is abbreviated as CTSSeg. Specifically, the CTSSeg includes a student network and a teacher network, where the student network learns supervised from labeled data, while the teacher network utilizes unlabeled data to improve the student network via contrastive learning and pseudo-label learning. We evaluate the proposed CTSSeg on the Atrial Segmentation Challenge dataset and a local clinical dataset. The experimental results show that our method can make full use of both labeled and unlabeled data and yield state-of-the-art performance.
BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol

Although combining the Internet of Things (IoT) and industrial scenarios has brought about a technological revolution, it has also caused equipment security issues. Due to the characteristics of Industrial Internet of Things (IIoT) devices with a wide distribution, complex application scenarios, considerable differences in node performance, and device heterogeneity, spoofing attacks and third-party attacks are common. Identity authentication for IIoT devices can solve this dilemma. However, most existing authentication technologies involve a trade-off between traditional centralised certificate issuance and sacrificing device storage resources, resulting in lower efficiency of IIoT device authentication, and the process is complicated. Therefore, ensuring the security and trustworthiness of device identities in the IIoT is imminent. In this paper, we propose an IIoT device authentication scheme based on an editable blockchain, that can solve the problem of the device’s low energy while satisfying the useage needs of large-scale scenarios. In particular, we created a suite of secure, efficient, and innovative technical solutions for this protocol. Firstly, to solve the problem of the authentication difficulty between industrial devices, we propose a lightweight identity authentication protocol called BLMA. Moreover, we propose the vPBFT algorithm and introduce the online and offline signature algorithm to reduce communication overhead and resource consumption between devices. Finally, considering the top security and dynamics of the IIoT environment, we use the chameleon hash function to build a hash chain of authentication results. Extensive simulation and experimental results demonstrate the reliability of our protocol.
Veridicality: Results from Comparison of Reports

This chapter presents the results from our analyses of TAPs in comparison to RVRs, regarding the thoughts or thinking processes that occurred at points of revision.
Sixth International Workshop on Variability and Evolution of Software-Intensive Systems (VariVolution 2023)

Software versions resulting from evolution in time (revisions) and space (variants) are still mainly managed separately although several research activities have examined the integrated management of evolution and variability. Existing approaches stem from multiple origins, most notably from the fields of software configuration management and software product line engineering. For instance, variation control systems adopt a holistic view on software evolution in time and space with the ultimate goal of systematically managing software revisions and variants. VariVolution (the 6th International Workshop on Variability and Evolution of Software-Intensive Systems) aims at bringing together researchers studying software evolution and variability from different angles as well as practitioners who encounter these phenomena in real-world software systems. The workshop offers a platform for exchanging new ideas and shall foster research collaborations and synergies.
Reconfigurable Photonic Platforms feature issue: publisher’s note

“Invited” was added to the title of a published paper [ Opt. Mater. Express 13 , 2489 ( 2023 ) 10.1364/OME.498243 ].
Deltas for Functional Programs with Algebraic Data Types

The development of feature-oriented programming (FOP) and of (its generalization) delta-oriented programming (DOP) has focused primarily on SPLs of class-based object oriented programs. In this paper, we introduce delta-oriented SPLs of functional programs with algebraic data types (ADTs). To pave the way towards SPLs of multi-paradigm programs, we tailor our presentation to the functional sublanguage of the multi-paradigm modeling language ABS, which already features DOP support for its class-based object-oriented sublanguage. Our main contributions are: (i) we motivate and illustrate our proposal by an example from an industrial modeling scenario; (ii) we formalize delta-oriented SPLs for functional programs with ADTs in terms of a foundational calculus; (iii) we define family-based analyses to check whether an SPL satisfies certain well-formedness conditions and whether all variants can be generated and are well-typed; and (iv) we briefly outline how, in the context of the toolchain of ABS, the proposed delta-oriented constructs and analyses for functional programs can be integrated with their counterparts for object-oriented programs.
Text Coherence Necessary for the Promotion of Japanese EFL Learner’s Predictive Inference Generation

Reading is a very complex process consisting of lower- and higher-level processing. Inference generation is necessary to achieve higher-level processing. It is challenging for Japanese EFL readers because they must use many cognitive resources in lower-level processing, such as word recognition and syntax analysis. This study investigated the relationship between Japanese EFL learners' predictive inference generation as higher-level processing and text coherence from the encoding perspective rather than activation. We used a cued recall task whose rates would be evidence of the reader's encoding of predictive inferences. The recall rates in the high predictability target version, which allowed readers to predict an outcome easily, were more significant than other text versions, and results were affected by the reader's proficiency. These findings suggest that EFL learners' encoding of predictive inference can be influenced under the specific text conditions in higher-level proficiency groups.
PSYCHOLOGICAL AND PEDAGOGICAL FACTORS OF ORGANISATION OF EDUCATIONAL AND RESEARCH ACTIVITIES OF FUTURE TEACHERS OF UKRAINIAN LANGUAGE AND LITERATURE

The educational reform in Ukraine has put forward certain requirements for the professional competences of teachers, among which special attention is paid to innovative competence. The innovative competence of a teacher of Ukrainian language and literature includes three components: the ability to apply scientific methods of cognition in the educational process, the ability to use innovations in professional activities and the ability to apply various approaches to solving problems in pedagogical activities. A teacher who has a high level of proficiency in the methodology of introducing the principle of science into the educational process and developing integral competences in students is a high-level professional. The analysis of the experience of Tamara Yashkin, a teacher of Ukrainian language and literature at the Ternopil Lyceum № 21 – Specialised Art School named after Igor Hereta, and the organisation of research work of high school students of general secondary education institutions in Zhytomyr and Zhytomyr region confirmed the key role of a qualified teacher with developed integral competence in the research work of students. This has led to changes in the educational and professional teacher training programmes, in particular in Ukrainian language and literature, and the introduction of electronic linguistic didactics. Educational components designed to stimulate the research activities of future teachers were also introduced into the curricula of educational programmes, including “Fundamentals of Academic Writing” and “Methods of Organising Research Work”. The transition to new standards in higher education institutions of Ukraine not only forms and develops research competence, but also stimulates self-development, knowledge and creativity of future teachers of Ukrainian language and literature.
Triple vertex of cycle graph for polyalphabetic encryption scheme

A new version of the polyalphabetic encryption scheme (PES) has been proposed based on the triple vertex cycle graph (TVCG). In the current study, a new definition for TVCG is given. The PES has been modified based on the TVCG. The security in comparison with the previous symmetric encryption schemes is increased. The ciphertext of the plaintext, in the proposed PES, is sent to the receiver entity as the TVCG. Based on cycle graph Cn, the TVCG is created depending on the encrypted letters of the plaintext bits and the rules of a secret key. In the current study, a study case of the proposed TVCG-PES is presented as a new experimental result. Then, the security issues of the TVCG-PES are determined. The TVCGPES is considered as a new insight for more secure communications.
Institutional Change toward Open Scholarship and Open Science

The processes and supports within an institution can, I’ve noticed, demand a bit of effort to change. When we speak of &lt;strong&gt;open scholarship&lt;/strong&gt; or &lt;strong&gt;open science&lt;/strong&gt;, many aspects tie-in or lead out from those concepts, which makes the whole prospect of institutional change quite complex.
Image Processing Techniques for Medical Mammography Masses Detection Applications

The role of image processing is crucial in the mammography for detecting of any unwanted suspicious regions in the mammogram. Quality of image is majorly focused in proposed image enhancement technique for retrieving of efficient feature extractions. SVM and GMM based classifier models are built for improving the performance parameters of proposed methodologies. Aim of this chapter is to reduce the noise in the mammogram image in order to enhance the mammogram image. Enhancement techniques, such as, contrast stretching and histogram equalization, morphological, median filters are experimented on mammogram images and results are compared for analyzing the image enhancement. These techniques are used to improve the clarity and denoise of mammogram images. It is useful for detecting the tumors in the mammogram effectively and it is helpful to locate and size of masses or tumors accurately in mammogram. Proposed methodology shows the image from the selected range of pixels and it show the intensity of the mammogram image at the particular pixel range. By this, the mammogram image will be smoothened which will be useful for diagnosing the tumors.
Searching for sentience

The AI world was rocked with controversy when Blake Lemoine, an AI researcher at Google claimed that their new LaMDA model was sentient. This Curmudgeon’s Corner article explores his claims critically by contrasting them to the original LaMDA paper released by the team of researchers at Google. The piece explores the human tendency for anthropomorphization via historical chatbots such as Eliza and potential reasons why we developed this propensity. It addresses the potential causes for the model’s choice of words. Subsequently, using the scoring criteria of the language model, I provide an explanation for the model’s behavior in the conversation with Lemoine. Finally, I explore some of Lemoine’s assertions and break down the logical gaps they hold. I conclude on a potential reorientation of the debate in view of our unfortunate tendency.
Desain Game Edukasi Berbasis Android dan PC Menggunakan Software RPG Maker MV guna Mendukung Konsep P5

Currently the government through the Ministry of Education and Culture is holding and promoting Character Education for Indonesian students to form a Pancasila Student Profile in order to reduce and overcome problems related to student character in the 21st century. Through the Pancasila Student Profile which includes 6 dimensions, namely faith and piety to God Almighty and having noble character, global diversity, critical thinking, mutual cooperation, creative and independent Indonesian education wants to make students in all corners of the country to better understand, appreciate and implement the values of Pancasila. It is not easy to make an appropriate learning plan in instilling character education that is integrated into subjects, educators must align their competencies in the current digital transformation era through independent training activities, surfing in cyberspace to add insight and collaborate with colleagues, Head Schools, and School Superintendents on what media should be given to students. So that from this subject emerged an innovation to support teaching and learning activities and attract students' motivation to learn by utilizing one of the learning media, namely educational games. This innovation is reinforced by survey results which state that the average game player is between 7-30 years old with an 80% percentage aged 7-21 years being a group of children to teenagers who are very fond of playing online games. So a research concept was designed using a quantitative descriptive approach that uses numerical data and is treated statistically or quantitatively since the data was collected.
Netnographic insights in Twitter posts by women in situations of violence

There is growing recognition that violence against women is a legitimate concern for governments, violates human rights and is a social and public health problem, with magnitude, complexity and significant impacts on countries' economies. In this scenario, cases of violence against women persist in different cultures, societies and periods of history (PAHO, 2017; WHO, 2018; MAGALHÃES, 2016; KRUG et. al., 2002).
Chinese Top Vlogger: A Textual Analysis of the Audience’s Reaction to Li Ziqi’s YouTube Channel

With the significant growth of social media and its wide reach among active users, celebrities on these platforms have become a major attraction for individuals seeking various needs. This study employs textual (content) analysis combined with gratification theory to explore the perspectives of YouTube views regarding Li Ziqi’s most popular video (with over 116 M
Preliminary Theory on Relationship Between Data-Driven AI and Historical Recognition

Today, there are massive contents online that are delivered, promoted and even generated by data-driven AI. Among them, so-called "post-truth" websites and videos feature inauthentic and pseudo-academic historical recognition. The fact that "post-truth" or alternative historical views are now getting popular is now discussed, but there has been no (or little) discussion that relates "post-truth"
The Effects of Education Satisfaction and Learning Flow in University’s Exhibition and Convention Areas on Attitudes toward Majors

This study was conducted to identify the effect between the satisfaction of major education and the attitude toward the major perceived by students majoring in exhibition and convention and to consider ways to increase a positive attitude toward the major through learning immersion. To achieve the purpose of this study, a survey was conducted on 3rd and 4th graders among students in the exhibition and exhibition convention departments in Seoul, Busan, and Gyeonggi Province from May 1 to 30, 2023. Of the 200 distributed questionnaires, 195 usable data were used in this analysis. Confirmatory factor analysis and structural equation analysis were adopted by using SPSS 26.0 and AMOS 26.0. As a result of the study, only subject activities and non-subject activities have a positive effect on class immersion and attitudes toward majors among major education satisfaction. In terms of immersion, it was found that satisfaction with major education had a mediating effect on increasing a positive attitude toward the major.
A Longitudinal Study on the Core Competencies of K University

This study aims to track the change process of core competencies of college students over time using the longitudinal data of the core competencies of students at K University. For the purpose of this study, 1,639 students enrolled in the 2019 academic year of K University who enrolled for 8 consecutive semesters were analyzed. The survey data used the scores for each FACE competency of four talent traits, namely Frontiership(F), Atruism(A), Culture(C), and Expertise(E) accumulated in the student competency assessment system. As a result of the analysis, students who were admitted through the occasional screening, in which students are selected by comprehensively evaluating their potential and personality in addition to their academic ability, obtained high competency scores in the Frontiership(F) area and Alturism(A) area, and the students who entered the regular screening based on merit-based selection obtained high competency scores in the Culture(C) area and the Expertise(E) area. Through this study, core competencies can be viewed as other forms of learning outcomes, and discriminatory learning outcomes according to gender and typical types were identified. It is hoped that this study will help in the development of customized curricula and extracurricula and in the formulation of university policies.
Review of evaluation and interpretation method for LDA model

LDA model has been widely used to investigate the subject of documents or words in various fields because it can analyze large amounts of data. Although perplexity is used to compare various LDA models, it only presents the goodness of fit, and it is not possible to consider how well each document is clustered. To resolve this problem, coherence measures have been proposed. After model selection using complexity and coherence measures, LDAvis is widely used to understand the relationship and meaning of each topic. Although LDA model has been introduced in many preceding studies, the introduction of the model evaluation method, coherence measure, and LDAvis for model interpretation is not sufficient. In this paper, we first introduce the LDA model and the mini-batch learning method, and introduce the coherence measure. We also introduce LDAvis including similarity measures and dimension reduction method to investigate the relationship between topic. Relevance is also explained to present the top words for each topic. Finally, after fitting the LDA model at various hyper-parameters to the image annotation data, the models were compared through coherence measures, and each subject was interpreted using LDAvis.
A Study on Applications of Artificial Intelligence in the Future of HR

The present paper discusses the increasing dissemination of Artificial intelligence (AI) in the various functions of HRM and the enduring debate on the anticipated decline of the usability of human resources in organizations.Artificial Intelligence helps the industry to work in a faster way and more efficient way to complete work.Artificial Intelligence is entering into various departments like the human resource department, finance department, marketing, and production department.By using AI systems, organizations can able to inform the existing performance and day-to-day functions.Business pressure has been increasing; tough managers understood the importance of artificial intelligence in the workplace.The research paper is descriptive.The researcher used secondary data where the data was collected from research papers, publications, websites, HR blogs, survey reports, etc.The core objectives of the study were to examine the role of artificial intelligence in the human resource department and understand the challenges in the HR department.The research study has concluded that the role of AI is larger in various functions carried out in human resource departments where robotics companies can handle recruitment, hiring, analyzing the data, collecting the data, reducing workload at the workplace, and enriching workplace efficiency.
Null Effects of Social Media Ads on Voter Registration: Three Digital Field Experiments

Civic organisations and progressive campaigns regard digital advertising as an essential method to register to vote low-participation groups, such as ethnic minorities, young voters, and frequent home movers like private-sector tenants. Digital strategies appear to be promising because the registration process can be completed online, usually in less than five minutes, using a web link in the advert. But do typical digital campaigns actually work in registering voters? To find out, we provide evidence from three randomised controlled trials: two conducted with advocacy organisations and the third run by the research team, carried out in two types of elections (general and local), and assigned either at the aggregate (studies 1 and 2) or individual (study 3) level. We find no evidence consistent with digital campaigning meaningfully affecting voter registrations. Despite wide reach and relatively high engagement rates, we find no effect of the campaigns on under-registered groupsâ€™ voter registrations in the three trials. The findings raise questions about commonly-used digital advertising strategies to register marginalised groups. These findings are consistent with other studies that report either null or minimal effects of digital ads on other types of political behaviour.
SOCIALIZATION AND EDUCATION OF PERSONALITY: CORRELATION

In the article, the author denotes that the main task of the historical-evolutionary approach in the study of personality is the assignment of identifying patterns of human development. A person changes in a world that modifies under the influence of socialization and education.The socio-historical image of life as a source of personality development and education sets a certain scenario for the individual, involving him / her in a specific routine of actions. The rigidity of such routine of actions depends primarily on the extent to which the freedom to choose certain types of activity varies in a certain socio-historical way of life. De bene esse, the mosaic of cultures in the course of human history can be placed near two poles — the pole of utility and the pole of dignity.Key words: education, socialization, personality, individualization, culture, society, self-change.