Reviewerly/exHarmony huggingface dataset:
Application perspective of large pathological section coupled with artificial intelligence in the diagnosis of pancreatic tumors

Large pathological sections can display tumors and the para-tumor tissues holistically and completely on one slice, which is beneficial to the whole observation and evaluation of tumors and their surrounding microenvironments, thus gaining a comprehensive understanding about the disease. With the gradual realization of digital pathology and advancement in computational pathology, artificial intelligence has made it possible to achieve accurate and individualized diagnosis and treatment of pancreatic tumors by linking up morphologies of different tumor cells and surrounding microenvironments with various types of data including image omics, gene proteomics and clinical data, which is both an opportunity and a challenge for Chinese researchers.Key words: Large pathological section; Pathomics; Artificial intelligence; Digital pathology; Computational pathology; Pancreatic tumor; Precision medicine
Marketing Plans in Action: A Step-by-Step Guide for Libraries, Archives, and Cultural Organizations

"Marketing Plans in Action: A Step-by-Step Guide for Libraries, Archives, and Cultural Organizations." Journal of Electronic Resources Librarianship, 32(2), p. 147
The automatic text analysis toolset for solving practical and research tasks

Abstract Tasks of automated text analysis are increasingly moving from theoretical research and experimental systems into practice. Increased volumes of text information for manual processing caused the need to use automated tools to solve a variety of tasks for a wide range of users operating not only desktop computers but more and more often mobile devices. There is the need of creating new automated systems and services for a wide variety of applications and the lack of universal algorithms for text analysis. In addition, in connection with different performance requirements of the large data volumes processing, it is urgent to develop integrated tools of automated text analysis, quickly solve user problems on any device, tools for deeper text study and create a basis for further research in the field of computational linguistics and testing of new algorithms of analysis. The proposed toolset includes an open system of automated text analysis, web-portal ”Automated text analysis,” a set of services and mobile applications. Its use will provide an ability to create and use software tools to solve practical problems, taking into account the interests of a wide range of users, and promotes research in the field of computer linguistics and deploying their results into various applications.
Learning Target Selection in Creating Negatively Correlated Neural Networks

In an ensemble system with a number of learning modules, it is important for these modules to be cooperative in solving a given task. One measurement on their cooperation is to ensure that these learning modules should be negatively correlated while the expected mean squared errors of the ensemble with these negatively correlated modules should be as small as possible. This paper summarizes three different approaches to how to set target values on the given data so that negative correlation learning could be more effective in creating negatively correlated neural networks. Rather than fixing the learning targets in the whole learning process, it would be better to adaptively select different learning targets among individual networks in the ensemble system so that all the individual networks could learn to be cooperative through the interactive learning. The first two approaches specified the target values based on either the ensemble’s behavior or the individual module’s behavior. The third approach introduced the different targets between two randomly sampled data sets.
D3.7: FLAME technology roadmap V2

This report is the second technology roadmap for a ground-breaking media service delivery platform being developed by the FLAME project. The report describes the software products to be delivered at infrastructure, platform and media service layers and how combinations of products are used to exploit the benefits of highly distributed software-defined infrastructures. Each product is described in terms of features, baseline implementation technologies and release schedule. At the core of the roadmap is the FLAME platform that brings together components for orchestration, Service Function Routing, Service Function endpoint management and cross-layer management and control. A systems integration and testing plan describes the DevOps environment including multi-project structure, development workflows and continuous integration processes supported by build, provisioning, configuration and automated testing tools. A software integration infrastructure is designed that replicates a part of the production infrastructures in ways that allow flexible configuration of different cross-component test scenarios. Finally, the downstream staging and production infrastructures are summarised completing the end-to-end DevOps pipeline for efficient and high-quality delivery.
Improving Mammography Malignancy Segmentation by Designing the Training Process

We work on the breast imaging malignancy segmentation task while focusing on the training process instead of network complexity. We designed a training process based on a modified U-Net, increasing the overall segmentation performances by using both, benign and malignant data for training. Our approach makes use of only a small amount of annotated data and relies on transfer learning from a self-supervised reconstruction task, and favors explainability.
Reduction from Module-SIS to Ring-SIS Under Norm Constraint of Ring-SIS.

Lattice-based cryptographic scheme is constructed based on hard problems on a lattice such as the short integer solution (SIS) problem and the learning with error (LWE). However, the cryptographic scheme based on SIS or LWE is inefficient since the size of the key is too large. Thus, most cryptographic schemes use the variants of LWE and SIS with ring and module structures. Albrecht and Deo showed that there is a reduction from module-LWE (M-LWE) to ring-LWE (R-LWE) in the polynomial ring by handling the error rate and modulus. However, unlike the LWE problem, the SIS problem does not have an error rate, but there is the upper bound β on the norm of the solution of the SIS problem. In this paper, we propose the two novel reductions related to module-SIS (M-SIS) and ring-SIS (R-SIS) on a polynomial ring. We propose (i) the reduction from R-SIS q k,m k,β k to R-SIS q, m,β and (ii) the reduction from M-SIS to R-SIS under norm constraint of R-SIS. Combining these two results implies that R-SIS for a specified modulus and number samples is more difficult than M-SIS under norm constraints of R-SIS, which provides the range of possible module ranks for M-SIS. From the reduction we propose, contrary to the widely known belief, our result shows that there is a possibility that the security parameters of M-SIS may be less secure when it reduces to R-SIS for the theoretical reasons presented in this paper. Therefore, when generating parameters on an M-SIS structure, the theoretical security level over R-SIS also should also be checked at the same time.
Application of electronic textbook Práce s daty at primary school

Thesis deals on educational material Prace s daty - an electronic web-based textbook that is developed as part of the project Support of the IT Thinking at KVD FPE ZCU. In addition to the description of the work schedule, the reader is also acquainted with the planned revision of the FEP for basic education, the aim of which is to change the current focus of the subject ICT from computer control to the acquisition of IT thinking, deeper knowledge of ICT and the development of Digital literacy. The textbook is compared with two foreign educational documents of the same level (Slovak Republic and England). The survey includes a quantitative questionnaire survey and an individual survey. The survey provided data on the suitability, processing and use of the above-mentioned electronic textbook in primary schools.
Reed Library: Special Collections & Archives: Policies & Forms

Webpage for the Daniel A. Reed Library Special Collections & Archives department. Special Collections & Archives active policies and forms
Implementation of ANN with the Cyclical Order Method For Forecasting the Life Span of the World’s Population

This study aims to predict the age (life expectancy) of the world's population. This research is the development of research that has been done before. But in this study only to get the best architectural model to predict the age (life expectancy) of the world's population, using the Cyclical Order method. Whereas in this follow-up research, it will produce forecasting in the form of age (life expectancy) of the population in the world based on a model that has been obtained from previous research. The research data is the age data (life expectancy) of the world's population from the United Nations: World Population Prospect: The 2010 Revision Population Database. This study uses 5 architectural models including: 3-5-1, 3-8-1, 3-10-1, 3-5-8-1 and 3-5-10-1. Of the 5 models used, architectural models 3-5-10-1 are the best with an accuracy of 97%, the value of MSE training is 0,0009979400 and MSE testing is 0,0008358919. Forecasting results from this study are expected to be a reference for governments in the world, especially Indonesia to pay more attention to the level of health and well-being of its population so that the level of life of the population is getting better and higher.
Dynamic Gesture Recognition Based on HMM-DTW Model Using Leap Motion

In recent years, gesture recognition that has the extensive application future is gradually the hotspot of the human-computer interaction. With the emergence of depth sensors such as Leap Motion, more depth information can be obtained, which provides a reliable data guarantee for recognizing complex gestures and better application scenarios. In this paper, five common dynamic gestures are defined firstly. Then, Leap Motion sensor is used to acquire the feature data of the hand. After comparing the recognition effects of HMM and DTW algorithms, a hybrid HMM-DTW model is proposed for dynamic gesture recognition. According to Kappa coefficient, it can be noticed that the model is substantial.
INTERVAL-VALUED IFAT-IDEALS OF AT-ALGEBRA

Abstract Background: The interval-valued IFset to AT-ideals on AT-algebras investigated. We apply the concept interval-valued intuitionistic AT-ideal, and investigate some of their properties. Materials and Methods: Moreover, Cartesian product of IFAT-ideal, and related properties. It was extended to IFideal by many literatures studies. Several researchers are studied the IFKU-ideals in KU- and intuitionistic image. Results: AT-ideals and AT-ideals fuzzy in AT-algebras defined in this study. IFAT-sub algebra showed. In interval-valued IFAT-ideal on AT-algebras. IFAT-sub algebra or (fuzzy AT-ideal) on AT-algebras. Conclusion: It introduced a Cartesian give to two interval-valued IFAT-ideal on AT-algebras and investigate some important the structure
Enhancing Job Searches in Mexico City with Language Technologies.

In this paper, we show the enhancing of the Demanded Skills Diagnosis (DiCoDe: Diagnostico de Competencias Demandadas), a system developed by Mexico City’s Ministry of Labor and Employment Promotion (STyFE: Secretaria de Trabajo y Fomento del Empleo de la Ciudad de Mexico) that seeks to reduce information asymmetries between job seekers and employers. The project uses webscraping techniques to retrieve job vacancies posted on private job portals on a daily basis and with the purpose of informing training and individual case management policies as well as labor market monitoring. For this purpose, a collaboration project between STyFE and the Language Engineering Group (GIL: Grupo de Ingenieria Linguistica) was established in order to enhance DiCoDe by applying NLP models and semantic analysis. By this collaboration, DiCoDe’s job vacancies system’s macro-structure and its geographic referencing at the city hall (municipality) level were improved. More specifically, dictionaries were created to identify demanded competencies, skills and abilities (CSA) and algorithms were developed for dynamic classifying of vacancies and identifying terms for searches on free text, in order to improve the results and processing time of queries.
DevOps with Security

DevOps has solved several software engineering problems, including the friction and delay in the software delivery and problem resolution. Being a manifesto designed more than a decade ago, DevOps now needs a redesign in its software development, management, and delivery, approaches. This planning can help solve the loopholes in the pipelines and cycles in DevOps. The starting principles of DevOps needed a quick response for user needs/bugs and less friction between teams—typically the development and operational teams. Although DevOps approaches these problems quite fairly, what it misses is the important aspect of modern software: the maintenance of the software.
Juggling with Scopes

When data flows inside your algorithm, it is hosted in variables. Those variables travel from one corner of your program to another depending on several factors: the program structure, the design of your logic flow, the calling and sending strategy, and so on. In other words, they depend on the scope they are living in, or moving in, if you prefer.
Towards a Swedish Roget-Style Thesaurus for NLP

Bring’s thesaurus (Bring) is a Swedish counterpart of Roget, and its digitized version could make a valuable language resource for use in many and diverse natural language processing (NLP) applications. From the literature we know that Roget-style thesauruses and wordnets have complementary strengths in this context, so both kinds of lexical-semantic resource are good to have. However, Bring was published in 1930, and its lexical items are in the form of lemma–POS pairings. In order to be useful in our NLP systems, polysemous lexical items need to be disambiguated, and a large amount of modern vocabulary must be added in the proper places in Bring. The work presented here describes experiments aiming at automating these two tasks, at least in part, where we use the structure of an existing Swedish semantic lexicon – Saldo – both for disambiguation of ambiguous Bring entries and for addition of new entries to Bring.
Lower Bounds for Leakage-Resilient Secret Sharing.

Threshold secret sharing allows a dealer to split a secret into n shares such that any authorized subset of cardinality at least t of those shares efficiently reveals the secret, while at the same time any unauthorized subset of cardinality less than t contains no information about the secret. Leakage-resilience additionally requires that the secret remains hidden even if one is given a bounded amount of additional leakage from every share.
GENERATING PATTERNS OF SYNTACTIC STYLE AND SYNTAX STRUCTURE ON SIQUIJODNON-CEBUANO FOLKSONGS

The study attempts to generate the patterns of syntactic styles and syntax structure of Siquijodnon-Cebuano folksongs. It adopts the descriptive content analysis as its research methodology; and employs Computational Theory of Goal-Directed Style in Syntax, Lexico-Syntax, Congruent Lexicalization and X-bar Theory of Generative Grammar theories in analyzing the folksongs. The results reveal that the patterns of the literary syntactic style of the Siquijodnon composers/writers not only include narrative and conversational texts, figures of speech, rhymed sentences, simple and compound sentences but also syntactic structure which comprises word order, structure modification, and structure of implementation. Additionally, X-Bar Generative Transformational Generative Grammar fortifies that although Siquijodnon-Cebuano and Standard English have different syntactic structures in some lexical and functional heads, both syntactic structures convey the same meaning and are used for stylistic purposes. Results further show that patterns of literary syntactic style and syntactic structure reinforce the innate writing style of the Siquijodnon composers/writers. The study concludes that Siquijodnon folksong composers/writers are capacitated with stylistic skills using linguistic features as one of their popular rhetorical devices in the field of literature.
A Mobile-based Monitoring System for Micro Small Medium Enterprises (MSMEs) with Offline Data Synchronization

Objectives: The use of technology has become ubiquitous in different areas of businesses and plays a significant role in gathering huge amount of data. In Philippines, for example, a government agency, Department of Trade and Industry (DTI) is entrusted with a project to assist and monitor the status of Micro Small Medium Enterprises (MSMEs), some of which are located in rural or remote places. There are number of approaches that are able to address registration and monitoring of clients or business establishments records through mobile-based application. However, there may be times that poor connectivity or no network connectivity is experienced with LTE or wi-fi network. Hence, one of the major challenges in dealing with mobile computing is on how to provide the clients with the same user experience even when there are some issues on connectivity. In this study, we developed a mobile-based application that may significantly improve the process whereby clients or users have the chance to access data that is stored in a stationary database or some other data repository at any time and any place. Methods: We introduce an innovative approach for efficient tracking and monitoring data leveraging the strength of data synchronization and replication. A mobile-based platform using a centralized database was designed and developed to facilitate quick registration of clients and easy portfolio monitoring of the business establishments. Application: The mobile-based system is an application that runs through android platform necessary for MSMEs’ efficient registration and monitoring purposes whereby users in remote areas are provided with the same user experience despite issues on connectivity (i.e. from “poor” to “no network” connectivity). We deployed the system in the Department of Industry (DTI) provincial office, which covers thousands of MSMEs. Findings: Experiments reveal that our approach provides effective results, which gains high acceptability of the users. Keywords: Agile Approach, Agile Software Development Method, Context Diagram, Micro Small Medium Enterprises (MSME), Mobile-based Application, Monitoring System, Offline Data Synchronization
IDENTIFCATION OF TRENDS IN TECHNOLOGIES AND PROGRAMMING LANGUAGES USING TOPIC MODELING

Websites providing technical questions and answers are a great source of knowledge. Technical questions are asked and also answered by the users of questions and answer website. These questions cover a wide range of domains in Computer Science like Networks, Data Mining, Multimedia, Multithreading, Web Development, Mobile App Development, etc. The results show that these techniques help discovers dominant topics in developer discussions.
Preliminary study on the application of real-time anatomical demonstration in the theoretical teaching of otorhinolaryngology-head and neck surgery

ObjectiveTo investigate the effects of real-time anatomical demonstration and traditional teaching in otorhinolaryngology-head and neck surgery.MethodsStudents who studied this course from Shanghai Jiao Tong University School of Medicine were divided into two groups: clinical students in 5-year program (n=22) were assigned to the experimental group and students from5+3 stomatology major (n=35) were assigned to control group. Both groups had two class hours, with the same teacher teaching at the same day. Students in the experimental group were taught with theoretical teaching combined with real-time anatomical demonstration, while students in the control group was taught with traditional theoretical teaching with multimedia content. Students in the two groups completed the questionnaire and received quiz; SPSS 19.0 was used to perform the independent-samples T test of between-group data.ResultsAccording to the questionnaire, scores for different items of the teaching method in the experimental group were higher than those in the control group. But according to the examination scores, average scores of the theoretical examination in the control group was (85.143±8.268), which was obviously higher than that of (64.545±11.434) in the experimental group, with statistically significant differences (t=7.885, P=0.000).ConclusionTeaching effect combined with real-time anatomical demonstration is not obvious to short-term examination, which may be related to the short-term understanding and absorption of knowledge for students in different majors, but it is coherent with the difference of entrance-examination scores of students from the two groups. This teaching model can stimulate students' interest in learning, and help them choose their professions, which may have certain advantages in the future long-term teaching effect.Key words: Otorhinolaryngology-head and neck surgery; Anatomy; Real-time anatomical demonstration
Towards an Ontology Based on Hallig-Wartburg's Begriffssystem for Historical Linguistic Linked Data.

To empower end users in searching for historical linguistic content with a performance that far exceeds the research functions offered by websites of, e.g., historical dictionaries, is undoubtedly a major advantage of (Linguistic) Linked Open Data ([L]LOD). An important aim of lexicography is to enable a language-independent, onomasiological approach, and the modelling of linguistic resources following the LOD paradigm facilitates the semantic mapping to ontologies making this approach possible. Hallig-Wartburg’s Begriffssystem (HW) is a well-known extra-linguistic conceptual system used as an onomasiological framework by many historical lexicographical and lexicological works. Published in 1952, HW has meanwhile been digitised. With proprietary XML data as the starting point, our goal is the transformation of HW into Linked Open Data in order to facilitate its use by linguistic resources modelled as LOD. In this paper, we describe the particularities of the HW conceptual model and the method of converting HW: We discuss two approaches, (i) the representation of HW in RDF using SKOS, the SKOS thesaurus extension, and XKOS, and (ii) the creation of a lightweight ontology expressed in OWL, based on the RDF/SKOS model. The outcome is illustrated with use cases of medieval Gascon, and Italian.
A Proposed Approach for Tracing the Progress of XP Projects

Background/Objectives: Agile software development methods have gained popularity and are increasingly important to a significant number of software development organizations. eXtreme Programming (XP) approach is one of the most popular agile development methods. Tracing the progress of software projects is one of the most crucial success factors of these projects. This study is concerned with proposing an approach for tracing the progress of XP software projects. Methods analysis: This study introduces the values, practices, and life cycle phases of XP approach. Depending on simple statistical techniques, this study introduces a proposed quantitative approach to evaluate the degree to which various XP phases and activities are implemented. Findings: A software organization can use the proposed approach to track, evaluate, control, and improve the performance of XP software projects to increase the success rate of software projects. Improvements/Applications: The proposed approach can serve as a base for building a software tool to trace the progress of agile software projects. Keywords: Agile Software Development, Extreme Programming, Project Progress, XP Phases, XP Practices