Reviewerly/exHarmony huggingface dataset:
Application of informatics in the work of a pathologist: guidelines for learning how to create and use a digital archive of gross images

Pathology informatics has been developing as a response to a large amount of diagnostically relevant morphological information and attempt to the best store and use it. The main components of pathology informatics include digital images of histological slides and gross photographs, telepathology, and electronic data collection. Photo documentation of gross specimens is an integral part for efficient work of a pathologist. Currently, many grossing stations are equipped with continuously recording video cameras. A logical and detailed description of the macroscopic specimens, supported by properly obtained digital photographs, should be the standard of a modern pathology report. However, with the increasing workload of the pathologists, they have less and less time to take gross photographs. That is why, in our opinion, it is important to ask questions such as: what is necessary to photograph, how to take a photo of the gross specimen, and in which order? There are only a few publications on this topic in both domestic and foreign literature. This paper attempts to summarize the literary data on this topic, based on which a list of medical use cases that require a mandatory photo documentation has been created. Practical recommendations have been developed and are outlined for gross photographs. In the context of widespread use of digital photography as a resource for deep learning of neural networks and digital analysis, this article will be useful not only for postgraduate education of pathologists, but also for physicians of other specialties.
Context, Language Modeling, and Multimodal Data in Finance

The authors enhance pretrained language models with Securities and Exchange Commission filings data to create better language representations for features used in a predictive model. Specifically, they train RoBERTa class models with additional financial regulatory text, which they denote as a class of RoBERTa-Fin models. Using different datasets, the authors assess whether there is material improvement over models that use only text-based numerical features (e.g., sentiment, readability, polarity), which is the traditional approach adopted in academia and practice. The RoBERTa-Fin models also outperform generic bidirectional encoder representations from transformers (BERT) class models that are not trained with financial text. The improvement in classification accuracy is material, suggesting that full text and context are important in classifying financial documents and that the benefits from the use of mixed data, (i.e., enhancing numerical tabular data with text) are feasible and fruitful in machine learning models in finance. <b>TOPICS:</b>Quantitative methods, big data/machine learning, legal/regulatory/public policy, information providers/credit ratings <b>Key Findings</b> ▪ Machine learning based on multimodal data provides meaningful improvement over models based on numerical data alone. ▪ Context-rich models perform better than context-free models. ▪ Pretrained language models that mix common text and financial text do better than those pretrained on financial text alone.
Design and Implementation of High Value Itemsets from Online Trade

Data mining, a technique to understand and change over unrefined data into supportive information, is dynamically being used in an arrangement of fields like publicizing, business information, intelligent revelations, biotechnology, Internet look, and blended media. Data mining is an interdisciplinary field merging considerations from bits of knowledge, AI, and standard language getting ready. High utility itemsets mining (HUIM) is an intriguing subject with regards to datamining which may be important in a numeral of vocations, for instance, in online disclosure of sold items giving high compensation, low rate, etc. Before long, High utility itemsets mining just examinations utility estimations of itemsets/things that may be inadequate to watch mentioning behavior of customers. To address this issue, here we present an Algorithm to incorporate consistency basic into high utility itemsets mining. Grounded on these lines, sets of co-occasion things with high utility characteristics and standard occasion, named high utility-uncommon itemsets (HURIs), are viewed as fascinating itemsets. We have so many algorithms available for deferent purposes, but The Sh_Ku algorithm is intended to propose customer interesting from different itemsets.
Summary of: A Federated Society of Bots for Smart Contract Testing

The peculiar novelty of smart contracts is a computational model where irreversible transactions are stored in a distributed persistent data storage, namely the blockchain. The technical nature of this new type of software opens to new kinds of faults, which require specific test capabilities to be revealed. In this paper we present SOCRATES, an extensible and modular framework to automatically test smart contracts. The distinctive features of SOCRATES are: (1) a collection of composable behaviours that exercise smart contracts in the blockchain; (2) it deploys a society of bots, with the purpose of detecting defects arising from multi-user interactions, which are impossible to reveal when deploying a single bot. Our empirical investigation demonstrates that SOCRATES is able expose both known and previously unknown faults in smart contracts that are actively run in the official Ethereum blockchain. Moreover, we show that a society of multiple bots is more efficient in fault exposure than a single bot alone.
2D TO 3D GRAPHIC OBJECT CONVERSION

The technique of converting 2D to 3D is critical in the creation and promotion of three-dimensional television(3DTV) since it has a sufficient supply of high-quality 3D program content. A novel automated 2D to 3D conversion approach based on multi-depth cues is described in this paper. Perspective geometry, defocus, visual saliency, and adaptive depth models are among the depth cues used in our scheme, which will be combined into a single depth map based on the types of 2D scenes. The initial 2D image or video is transformed to stereoscopic for viewing on 3D display devices after the depth maps are removed.
The necessity of ascertaining contamination by dust using soil spectral reflectance as its indicator

Pollution of the urban environment by human disturbances and activities is a negative externality of urbanization, therefore becoming a great concern due to the serious problems associated with human health. The mobilization of heavy metals into the biosphere by human activities has become an important process in the geochemical recycling of these metals. Though the risks of exposure to road dust have been reported to be higher for individuals than those in soil, little attention has been paid to the occurrence characteristics of heavy metals in dust and its associated health risks to the population. In the present studies, the physical, chemical and spectral signatures gained from dust and soil constituents would be differentiated based on their reflectance in specific bands of the electromagnetic spectrum. It is expected that the analysis of road dust and soil samples will indicate spectral signatures exhibiting differences in specific wavelengths of the spectrum, hence, indicating their spectral discrimination, as well as the presence of heavy metals showing its reflectance based on its concentration. The expected outcome of this study can be used to provide a theoretical basis for controlling the risk of heavy metals exposure to population.
비대면 온라인 영어수업 운영에 대한 영어과 학생 교사들의 인식 조사

This study aims to identify which variables influence pre-service English teachers’ perceptions on online class teaching and implementation during the COVID-19 pandemic. One hundred and ten (110) student teachers at two different universities were asked to complete the questionnaire with 26 closed questions and 8 open-ended questions. Factor analysis, correlational study, and one-way ANOVA were conducted. The results indicated that four variables emerged from the analysis, which included learner, instructor, system environment, and learning effect variables. Statistically significant correlations were found among these variables. The variables such as active participation, autonomous learning(learner variable), prompt feedback(instructor variables), accessibility/convenience/stability(system environment) were strongly influencing students’ perceptions on successful online class implementation. Suggestions for improving the quality of the online class included synchronous online class management, various applications and platforms to enhance interactions and feedback between instructors and students, adequate amount of course assignments, systematic evaluation criteria for the course, as well as diverse visual aids and resources.
Working with Graduate Students at a Distance: Liaison Librarianship to an Online Doctoral Program [Slides]

Harlow, S. Working with Graduate Students at a Distance: Liaison Librarianship to an Online Doctoral Program. Presentation for ACRL Graduate Student Interest Group at American Library Association (ALA) 2019 Annual Conference, Washington, DC.
Non-Linearity of Intelligence Effects and the Threshold Model of Formal-Operative Intelligence

There is ample evidence that numerous effects of intelligence are non-linear. Nevertheless, psychometric research is almost exclusively restricted to the linear approach. The article presents a non-linear model, dubbed threshold model of formal-operative intelligence. The model is based on Piaget’s stages of cognitive development. Using Transparency International’s Corruption Perceptions Index as an example, it is shown that countries are only able to curb corruption if their national intelligence exceeds a certain threshold. In the lower intelligence range it does not matter whether a country is very far below or directly on the threshold. Intelligence only comes into play when the threshold is exceeded. In the context of Piaget’s developmental psychology this means: The decisive question is whether a sufficiently large proportion of the population has reached the stage of formal-operative thinking. It is shown that the threshold model has far greater explanatory power than the linear approach, and that this applies to a broad range of quite diverse variables. The importance of intelligence is much greater than many believe.
DMGA: A Distributed Shortest Path Algorithm for Multistage Graph

The multistage graph problem is a special kind of single-source single-sink shortest path problem. It is difficult even impossible to solve the large-scale multistage graphs using a single machine with sequential algorithms. There are many distributed graph computing systems that can solve this problem, but they are often designed for general large-scale graphs, which do not consider the special characteristics of multistage graphs. This paper proposes DMGA (Distributed Multistage Graph Algorithm) to solve the shortest path problem according to the structural characteristics of multistage graphs. The algorithm first allocates the graph to a set of computing nodes to store the vertices of the same stage to the same computing node. Next, DMGA calculates the shortest paths between any pair of starting and ending vertices within a partition by the classical dynamic programming algorithm. Finally, the global shortest path is calculated by subresults exchanging between computing nodes in an iterative method. Our experiments show that the proposed algorithm can effectively reduce the time to solve the shortest path of multistage graphs.
Formal Quality of Service Analysis in the Service Selection Problem

The Service Selection problem has driven a lot of attention from the Service-Oriented community in the past few decades. Rapidly evolving cloud computing technologies foster the vision of a Service-Oriented Computing paradigm where multiple providers offer specific functionalities as services that compete against each other to be automatically selected by service consumers. We present a research program that focuses on Quality of Service aware Service Selection. We discuss our vision and research methodology in the context of the state of the art of the topic and review the main contributions of our approach.
Vulnerability Scanning Technology on Web Applications

Modern society is far more dependent on web applications than the previous generations. Even though our dependence is increasing rapidly, the security level is far lower than required. To guarantee the security of the data system in the industry and our daily life, it is especially crucial to find out web application security vulnerabilities quickly and accurately. A vulnerability is a state of being unprotected from the prospect of an attack. It permits an attacker to gain a certain level of command of the site, and possibly the hosting server. One such vulnerability is the cross-site scripting vulnerability. In this exposition, a generic vulnerability scanner is proposed which can be customized to find any number of vulnerabilities. The scanner maps out the website and gives a report of all the vulnerabilities. For the purpose of evaluation, it has been customized to find XSS vulnerability in web applications.
Investigating the Effect of Graduate Business Programs of the Schools of Business in Jordan in Forming Soft-Power Leadership Conceptualization among MBA Students

The main objective of the study is to explore the extent of the conceptualization of soft-power leadership among graduate business students, and the degree to which they apply the concept in their study programs in the Jordanian universities. In precise, to explore the effect of curriculums and courses, learning style, and the way the business program is managed in forming the concept of soft power leadership in students.&#x0D; &#x0D; The analysis was extended to investigate the variation in the relationship between curriculums, learning style, and program management as independent variables and soft-power leadership concept as dependent variable due to the moderating variables gender, background education, and work sector. A sample of 350 students was drawn from two representative universities in Jordan. Data were collected by a self-designed questionnaire based on literature, Amos 21 was used in the analysis, and findings were as follows:&#x0D; &#x0D; Students have positive attitudes toward soft-power leadership conceptualization with a satisfactory level of belief. Learning style and curriculums have been found to be of significant effect in soft-power conceptualization. This indicates that the American Model of Management Education (AMME) is applied in both curriculums and learning styles in business schools in Jordan.&#x0D; &#x0D; With regards to the moderating effect of gender, background education, and job sector of students it was found that gender significantly affects the relationship between learning style and soft-power concept, and it does affect the relationship between program management and soft-power concept, Background education significantly affects the relationship between both curriculums and program management, and soft-power concept, while the job sector that students belong to in their work only affects significantly the relationship between program management and soft-power concept.&amp;nbsp;&amp;nbsp;
조직의 정보보안 분위기가 조직 구성원의 정보보안 참여 행동에 미치는 영향

PurposeAlthough examining the antecedents of employees’ extra-role behavior (i.e. information security participation behavior) in the information security context is significant for researchers and practitioners, most behavioral security studies have focused on employees’ in-role behavior (i.e. information security policy compliance). Thus, this research addresses this gap by investigating how organizational information security climate influences information security participation behavior based on social information processing theory and Griffin and Neal’s safety model.Design/methodology/approachWe developed a research model by applying Griffin and Neal’s safety model to the information security context and then tested our research model by conducting an online survey for employees of organizations with information security policies. Structural equation modeling (SEM) with SmartPLS 3.3.2 is used to test the corresponding hypothesis.FindingsOur results show that organizational information security climate, information security knowledge, information security motivation are effective in motivating information security participation behavior. Also, we find that organizational information security climate positively influences both information security knowledge and information security motivation. Our findings emphasize the importance of organizational information security climate because it is capable of affecting employees on information security participation behavior. Our study contributes to the literature on information security by exploring the role of organizational information security climate in enhancing employees’ information security participation behavior.
Clustering High-Dimensional Datasets Using Quantum Social Spider Optimization with DWT

In last few years, the quantum mechanics-inspired algorithm quantum particle swarm optimization has become popular among the swarm intelligence researchers. In this algorithm, instead of the Newton-inspired random walk, a type of quantum motion has been used in the search process. Social spider optimization is a relatively new intelligent algorithm inspired from the social behavior of spiders, especially their communications on the web for search of prey and for mutual sexual interaction toward growth of their family. In this paper, a quantum social spider optimization (QSSO) is formulated where the search agents (spiders) are assumed to be bounded in a quantum potential well, through which solution gets attracted toward the global optima. The QSSO has been employed to cluster five low-dimensional and four high-dimensional datasets. To deal with high dimensionality, two-level discrete wavelet transform (DWT) has been applied for feature reduction. The use of transformed domain features with DWT significantly reduces the computational complexity to almost half of that achieved by QSSO, while marginally affecting the accuracy of the algorithm. The statistical results obtained with three validating indices such as accuracy, silhouette index, and run time justify the superior performance of the proposed approach over benchmark APSO, RGA, and original SSO algorithm.
“DEBATE” INTERACTIVE TECHNOLOGY IMPLEMENTATION IN THE EDUCATIONAL PROCESS (On the results of participation in the German-Ukrainian Project “Youth Debates”)

This article focuses on the implementation of interactive technologies, namely “Debate”, into the modern educational process. It is one of the actual themes and important necessities of the present situation. It determines the proposed study relevance because it is important to teach students to have an active life position, to be able to argue, to defend their point of view. The main objective of the study is to summarize and generalize the practical experience of application debate technologies in Ukrainian and German educational practice, based on the results of participation in the German-Ukrainian Project “Youth Debates” and how to use debates at school while teaching different subjects. To achieve the objective some problems have been solved such as: to reveal peculiarities of teaching debate technologies in the context of modern Ukrainian postgraduate pedagogical education; to determine the steps of actions while introducing debatable technologies at school; to consider aspects of the practical implementation of debate technologies in the educational process on the example of the educational institution "Gymnasium with secondary school of the first degree" Kostiantynivka city, Donetsk region, Ukraine: to regard the experience in organizing online debates using remote technologies in Ukraine. While writing this article the following research methods have been used: 1) theoretical: system analysis, abstraction, generalization, comparison, systematization and classification of the received information and its interpretation; 2) empirical: method of survey and questionnaire, method of comparative analysis of the obtained results, expert evaluation. Several stages of preparation to debates have been taken into account. The conclusions show that debate is an innovative pedagogical technology aimed to develop a many-sided personality and creates conditions for the high school students’ active civic position formation in a holistic pedagogical process, ensuring the dialogic nature of learning. Students can acquire both educational and cognitive abilities not only in the scientific sphere, but also obtain socially useful experience. Debates, as pedagogical technology, can be characterized not only by criteria of manageability and reproducibility, but also by guaranteed efficiency. All of this allows us to solve the main task of the education system for a civil and democratic society - to foster erudite citizens. Only students with high culture and flexible thinking, purposeful, self-confident, free from stereotypes will be able to get integrated into European civil and cultural space.
Evidence of Scientific Literacy Through Hybrid and Online Biology Inquiry-Based Learning Activities (Journal Pre-Proof)

Objectives: To describe the implementation of a hybrid and an online active-learning-based science activity originally designed for face-to-face instruction. The goal was to verify if students used appropriate science practices while engaged in a problem solution through hybrid and fully online modalities. Epistemic practices are important markers of scientific literacy because they reflect ways of thinking and working that are similar to those performed by scientists. Methods: Numerical experimental data related to two topics of immunology were provided to students through virtual learning environments. The groups of students met on WhatsApp© mobile application to negotiate the construction reports containing graphs, discussion, and conclusion to the inquiry problem. Members of our research team coded and analyzed the reports for evidence of epistemic practices. The presence of epistemic practices in the students' writings is presented and discussed qualitatively in this paper. Results: Results show the emergence of epistemic practices in the written discourse of the students participating in online and hybrid modalities. Implication for theory and/or practice: Bringing examples from our experience teaching online and as pre-pandemic researchers allowed us to engage, inspire, and assist other teachers who are facing the challenges that the COVID-19 pandemic presents to science education. Conclusions: Findings suggest that it is possible to promote student engagement in scientific practices related to biology through online and hybrid instruction