Reviewerly/exHarmony huggingface dataset:
Modern Seismology through the Eyes of a Motorist

We sincerely believe that if Mr. Reid knew that the Hindustan tectonic plate shrinks by 10 microns per day, then he would never present his theory of Elastic recoil to the scientific community because a value of 10 microns clearly highlights the impossibility of accumulation by the rocks of the earth's crust the energy of elastic deformations is sufficient for movements of tectonic plates and blocks. The given figure completely rejects the theory of Mr. Reid, which, without it, is a preliminary sketch of the process without rigorous scientific justification. Many geophysicists state the fallacy of the Reid theory, but old-school scientists actively and aggressively resist any attempt to remove seismology from the impasse of “Elastic Fantasies”. We offer a look at the process of formation of elastic forces in the earth's crust through the eyes of a simple motorist who has replaced rubber tires with granite tires on his car. Maybe the figure is 10 microns and our simple example with tires will help Reid supporters understand that the elastic forces in the process of earthquakes play a secondary role. Otherwise, seismology will continue to shake the air with empty ideas and squander taxpayer money on its “resilient” chimeras without any benefit to humanity.
Overview and Methods of Knowledge Base Question Answering

Knowledge base question answering is a way of communication between computer and human in the form of natural language, which is a branch of artificial intelligence. In recent years, knowledge base question answering has become a hot research and application direction in academia and industry. At present, question answering algorithms mainly include template-based approach, semantic analysis approach, deep learning approach. Many scholars have continuously improved existing algorithms for obtaining better accuracy. For giving people an overall understanding of the research significance, knowledge base and algorithm of question answering, in this study we mainly review three classical algorithms of knowledge base question answering, and make a comprehensive comparison of these three algorithms. We identified the deficiencies and challenges of knowledge base question answering. we propose future development directions for the principle of matching questions and answers to construct query sentences, deep learning models, and inherent features of language.
A tree based approach for multi-class classification of surgical procedures using structured and unstructured data

Abstract Background In surgical department, CPT code assignment has been a complicated manual human effort, that entails significant related knowledge and experience. While there are several studies using CPTs to make predictions in surgical services, literature on predicting CPTs in surgical and other services using text features is very sparse. This study improves the prediction of CPTs by the means of informative features and a novel re-prioritization algorithm. Methods The input data used in this study is composed of both structured and unstructured data. The ground truth labels (CPTs) are obtained from medical coding databases using relative value units which indicates the major operational procedures in each surgery case. In the modeling process, we first utilize Random Forest multi-class classification model to predict the CPT codes. Second, we extract the key information such as label probabilities, feature importance measures, and medical term frequency. Then, the indicated factors are used in a novel algorithm to rearrange the alternative CPT codes in the list of potential candidates based on the calculated weights. Results To evaluate the performance of both phases, prediction and complementary improvement, we report the accuracy scores of multi-class CPT prediction tasks for datasets of 5 key surgery case specialities. The Random Forest model performs the classification task with 74–76% when predicting the primary CPT (accuracy@1) versus the CPT set (accuracy@2) with respect to two filtering conditions on CPT codes. The complementary algorithm improves the results from initial step by 8% on average. Furthermore, the incorporated text features enhanced the quality of the output by 20–35%. The model outperforms the state-of-the-art neural network model with respect to accuracy, precision and recall. Conclusions We have established a robust framework based on a decision tree predictive model. We predict the surgical codes more accurately and robust compared to the state-of-the-art deep neural structures which can help immensely in both surgery billing and scheduling purposes in such units.
Scenario Analysis of Secure Multi-party Computation implementation in EU-based multinational banks

EU banks have a dual obligation to generate and protect assets a due diligence for their customers, their business longevity, and in accordance with regulatory bodies. The effective use of data presents opportunities for banks to meet their obligations in improving financial risk and also ensuring business growth and continuity in their offerings. For these reasons, there is value in acquiring and using mixed or aggregated data sets from external sources a means to extrapolate and gain information and knowledge. However, the balance between data privacy and data use remains a challenge for banks which impedes on their ability to proficiently and resourcefully generate and protect their assets. Privacy-preserving data sharing methods such Secure Multiparty Computation or MPC may be a viable solution for enterprises facing this issue. Through the use of multiple cryptography protocols and computational algorithms, MPC is a technology that enables parties to anonymously compute functions on shared data without demanding a trusted third party. This study aimed to explore the potential business impact of MPC whereby semi-structured interviews were conducted with expert stakeholders from three major EU multi-national banks. The possible future outcomes of MPC implementation is determined via a scenario analysis over time horizon of five years (2020-2025). Based on value creation theories from inter-organizational systems and business model disciplines, a conceptual model for MPC implementation outcomes was developed to guide the scenario analysis process. This study found that there are generally four archetypes of scenarios for MPC implementation in banks leading to improved internal efficiency of banks and/or (in)direct MPC enabled business models. Besides known MPC use-cases in money laundering initiatives and security risk frameworks, new MPC business cases were found for data-driven as a service models and (cross)industry data platforms. This study also identified new business model components based on an existing taxonomy of data-driven business models.
Library guides / Biblioteekgidse: Makerspace: Policies and Rules

Provide a collaborative technologically focused environment for SU students and staff to invent, create and learn while sharing.
Construction and application of knowledge-base in telecom fraud domain

Nowadays, the number of telecom frauds crimes has been increasing rapidly in China. To improve the people's awareness of prevention and enhance the professional ability of public security police in investigating and combating, this paper proposes and implements a knowledge-base of the telecom fraud domain. Firstly, we improve the event-based telecom fraud ontology model by considering two perspectives, including crime combats and preventions. We also conduct a fine-grained classification and finish a multi-dimensional fusion of the domain knowledge to improve data quality. Secondly, we introduce a new method to reuse domain business processes knowledge, which is a supplementing of knowledge representation and enhances the quality of the knowledge-base. Finally, this paper shows two types of domain applications, a Q&A application and a case assistant. The experimental results show that the public and the police can get some advice and inspiration from the built knowledge-base.
Creating Deep Learning-based Acrobatic Videos Using Imitation Videos

This paper proposes an augmented reality technique to generate acrobatic scenes from hitting motion videos.After a user shoots a motion that mimics hitting an object with hands or feet, their pose is analyzed using motion tracking with deep learning to track hand or foot movement while hitting the object.Hitting position and time are then extracted to generate the object's moving trajectory using physics optimization and synchronized with the video.The proposed method can create videos for hitting objects with feet, e.g.soccer ball lifting; fists, e.g.tap ball, etc. and is suitable for augmented reality applications to include virtual objects.
ANALISIS READINESS MAHASISWA BARU DALAM PEMBELAJARAN DARING DI UIN SUNAN KALIJAGA YOGYAKARTA

As an impact of Covid-19, the learning methods is shifting from conventional into e-learning. Therefore, UIN Sunan Kalijaga Yogyakarta as an educational institution have to implement online lectures for all students. This event causes the first year students to not having the opportunity to understand how lectures work. On the other hand, lecturers and the university did not yet have a picture of the readiness of new students to study with e-learning method. For that case, the university needs to know if the students are ready to be doing e-learning lectures. This descriptive quantitive research uses a questionnaire and e-learning readiness factors by Chapnik [1] to see the readiness of new students. As a result, the score of new students e-learning readiness is 45.09. Thus, new students of UIN Sunan Kalijaga Yogyakarta are not ready enough for studying in e-learning methods. This research also provides suggestions about how e-learning methods should be done for the lecturers.
Η κατασκευή του σχήματος «εμείς vs άλλοι/ες» στο πλαίσιο της γλωσσικής διδασκαλίας στο γυμνάσιο : αναλύοντας τα διδακτικά βιβλία της Γλώσσας

In the present thesis I examine the concept of “we and the others” in three High School textbooks that correspond to students of the Modern Greek Language course. I focus on education as it is an institution inspired by the national homogenizing discourse and the anti-racist beliefs of the acceptance of the diversity, that provokes contradictions. In particular, I aim to investigate the national “we” and the national “other” in written texts and images in textbooks. The main goal is to detect practices of acceptance the “others” that produce and reproduce (fluid) racism. Drawing on CDA I exploit Reisigl and Wodak’s discursive strategies and van Leeuwen’s multimodal approach, in order to form three categories of the concept “we and the others”: the dominant “we”, the dominant “others” and the migrant “others”. In any case, it seems that the monocultural and monolingual enforcements of national discourse prevail and form the national education.
ANALISA KEMUNGKINAN ALGORITMA SHA256 &amp; ALGORITMA SCRYPT DALAM MENEMUKAN BLOK BARU PADA TEKNOLOGI BLOCKCHAIN

In cryptocurrency, a block is a record of new transactions that could mean the location of cryptocurrency, medical data, or even voting records. Once each block is completed it’s added to the chain, creating a chain of blocks: a blockchain. Because cryptocurrencies are encrypted, processing any transactions means solving complicated math problems using specified algorithm like SHA256 and Scrypt. People who solve these equations are rewarded with cryptocurrency in a process called mining. In this study the authors will find out the comparison of SHA256 and Scrypt to work on the blockchain. To find out the comparison between SHA256 and Scrypt some test will be done in this research. The test were given to both algorithm on some test System to observe which algorithm that has highest probability in finding new block. the results of the tests done in this paper show that Scrypt is much slower to hash than SHA256 but the Scrypt algorithm has greater chance to find a new block.
Implementasi Teknologi Informasi Dan Komunikasi Sebagai Sarana Operasional Sekolah Di SD Muhammadiyah 1 Surakarta

The Indonesian government through the Ministry of Education has launched the 2013 curriculum which is expected to be implemented by all schools throughout Indonesia. There is something new in this curriculum, which making ICT as a learning tool, and it can be used as a learning medium for other subjects. Implementing of the 2013 curriculum requires all people related to education to be 'literate' with ICT, including educators, education staffs and students. ICT must be implemented in all lines of school operational activities from learning, assessment, health services, payment services and others. This research focuses on identifying the implementation of ICT in the learning process of other school operational activities at SD Muhammadiyah 1 Ketelan Surakarta and the achievement of the UNESCO continuum stage. This research is a qualitative research. This study uses an ethnographic approach. The place for conducting this research is in Muhammadiyah 1 Elementary School of Surakarta. The resources in this study are the headmistress, the head of Computer Laboratory / Language Laboratory, administrative staff, teachers and related employees. The collecting data uses observation, interviews and documentation. The validity of the data was tested using triangulation. The data analysis technique used Milles and Huberman's theory, they are data reduction, data presentation and drawing conclusions and verification. The results of the study show that, the implementation of ICT as a means of school operation at SD Muhammadiyah 1 Ketelan Surakarta has passed the Emerging stage in the UNESCO continuum stage, namely the use of ICTs by starting to purchase ICT facilities, both in the form of hardware and software. Furthermore, the application of ICT in SD Muhammadiyah 1 Ketelan Surakarta has passed the Applaying stage. This is indicated by the existence of educators and education staff who have used information technology in carrying out tasks related to school management learning activities properly. Furthermore, this school has started to step on the Infusing or integration stage but it is still not optimal. In this stage the school has integrated and incorporated ICT into the curriculum Keywords: ICT, education, assessment, character, health, payment
Case Studies for General Framework

The General Framework requires case studies to progress its development. Case studies of HCI design knowledge can be successful or unsuccessful. Successful case-studies are considered to fall within the scope of the design knowledge being applied. Unsuccessful case studies are considered not to fall within its scope. Thus, successful and unsuccessful case studies together define the scope of the application of HCI design knowledge. Case studies are of two types: of the framework itself and of the HCI knowledge, acquired with its support by means of HCI research. In turn, these two types of case study can be divided into acquisition and validation case studies. The latter types of case study have yet to be carried out for the General Framework, comprising concepts of discipline, general as common, general problem, particular scope, general research, general knowledge and general practices. However, on the basis of case studies reported in the literature, and the validation proposal made here, suggestions are made as to the research needed to conduct such case studies.
Majorizing measures for the optimizer

The theory of majorizing measures, extensively developed by Fernique, Talagrand and many others, provides one of the most general frameworks for controlling the behavior of stochastic processes. In particular, it can be applied to derive quantitative bounds on the expected suprema and the degree of continuity of sample paths for many processes. One of the crowning achievements of the theory is Talagrand’s tight alternative characterization of the suprema of Gaussian processes in terms of majorizing measures. The proof of this theorem was difficult, and thus considerable effort was put into the task of developing both shorter and easier to understand proofs. A major reason for this difficulty was considered to be theory of majorizing measures itself, which had the reputation of being opaque and mysterious. As a consequence, most recent treatments of the theory (including by Talagrand himself) have eschewed the use of majorizing measures in favor of a purely combinatorial approach (the generic chaining) where objects based on sequences of partitions provide roughly matching upper and lower bounds on the desired expected supremum. In this paper, we return to majorizing measures as a primary object of study, and give a viewpoint that we think is natural and clarifying from an optimization perspective. As our main contribution, we give an algorithmic proof of the majorizing measures theorem based on two parts: We make the simple (but apparently new) observation that finding the best majorizing measure can be cast as a convex program. This also allows for efficiently computing the measure using off-the-shelf methods from convex optimization. We obtain tree-based upper and lower bound certificates by rounding, in a series of steps, the primal and dual solutions to this convex program. While duality has conceptually been part of the theory since its beginnings, as far as we are aware no explicit link to convex optimization has been previously made.
USAGE OF THE INTERNET AND SOCIAL NETWORKS IN LIFE AND IN LEARNING

Digital media in the 21st century has become obsessive communication tool and medium of youngpopulation. In an age of global information and communication the strategy of societies based onknowledge that permanently generate millions of information in order to improve competitiveness ispromoted. In this context, in the R. Macedonia last decade is promoting the need to provide resourcesand infrastructure to ensure uninterrupted availability of the Internet and other digital media to onlineservicing the needs of citizens and business community. In this regard the National Strategy forInformation Society Development is created in which an integral part also is e-education. Thatshifted the paradigm in terms of actualization of the need to integrate information technology at alllevels of education in the process of acquiring new knowledge aimed at building a society based onknowledge and competitive business environment. The current situation regarding the new approachto using information technology in the teaching process of acquisition of knowledge is notsatisfactory. Despite the implemented projects to train teachers to use ICT in teaching resistance toinnovation is an indisputable fact that enables application of learning based on the development ofprojects, research, generating creative solutions that will contribute to the active involvement of theyouth in the process of learning in which they should be active entity and by using informationtechnology in the learning process will acquire the communications, information and socialcompetencies necessary for active and competitive involvement in the business community. Takinginto account the current situation in this scientific work subject is the application of ICT in theprocess of formation and learning of young people. Phenomenon under study is the current situationof young people in relation to the application of ICT. A problem which is investigating is theimproper use of ICT by young people.
Uppmaning till självmord - bör det vara kriminaliserat?

In 2019, a special investigator submitted a report to the Swedish government advocating that the incitement of suicide be made a criminal offence. To accomplish this, the investigator proposed that a new provision should be introduced in Chapter 4 of the Swedish Penal Code which would make it a criminal offense to incite, or otherwise psychologically influence, an individual to commit suicide. When introducing a provision such as this, there are several criminal law aspects that the legislator must address based on Swedish criminal law principles, that provide guidance on when an act should be criminalized. The thesis therefore deals with the crime of incitement of suicide on the basis of three well-established criminalization criteria: (i) harm; (ii) interest; and (iii) efficiency. In order to examine the effectiveness of the proposed new legal provision, a comparative analysis is made which demonstrates that similar legislation in other countries has not generally resulted in the desired outcomes. Finally, the thesis shows that the criteria of harm can provide for both a pro and con argument, depending on how one chooses to consider the interest worthy of protection. Efficiency is not considered fully realized, but neither is a restriction on freedom of expression, which could constitute a valuable opposing interest.
A Study on Assessing Staff and Patient Perception on Electronic Prescription in a tertiary care Teaching Hospital

Electronic Prescription Concept is very predominant to enhance digitalization and Automation in the healthcare sector. The Electronic prescription concept may require still more time for full-scale implementation in India. The main goal of the study was to know about current practices adopted in Paperless prescriptions and to survey the consciousness of Electronic prescription among staff and patient family members. The study was conducted at a tertiary care teaching hospital in Mysore for three months. Questionnaires were designed for both the hospital staff in Intensive care units (ICU’S) and Patient family members. The survey included the demographics characteristics such as name, age, gender, relation with the patient, and their knowledge and with the electronic prescription. The sample survey size was 120. The study outcomes say that the implementation of the electronic prescription system has gone well as it has an extended way to go, and it is a long-term asset. The study results provide probabilities for the changes in the structure and processing excellence, which is significant as the issues could affect the adequacy of new technology and the speed of flow within an organization.
Research and learning skills through the professional library

Kutuzova E. V. Research and learning skills through the professional library [Електронний ресурс] / E. V. Kutuzova. - Режим доступу: http://dspace.onua.edu.ua/handle/11300/14205
ANALISIS SISTEM INFORMASI AKUNTANSI ALUR PEMBAYARAN BIAYA KULIAH DI MASA PANDEMI COVID-19

This study aims to identify and analyze accounting information systemsFlow of Tuition Fees during the Covid-19 Pandemic at the University of TechnologySumbawa. The method used in this research is descriptive methodqualitative. The sources for this research included the Vice Chancellor for 2 FieldsFinance, to be precise, the Directorate of Financial Administration, University of Technology, Sumbawa.Employees who become informants in this study are Finance Director, TreasurerUniversity, and Sub Directorate of Financial Administration. The data source of this researchare primary and secondary, with data collection methods using techniquesinterviews, documentation and observation. The results of this study indicate thatAccounting Information System Flow of Payment of Tuition Fees during the Covid-19 PandemicThe Sumbawa University of Technology has been carried out effectively and efficiently. That mattercan be seen based on existing data, procedures, infrastructure and software as wellresponsible and competent human resources. With the Grooveonline payment of tuition fees during the Covid-19 pandemichelp Sub. The Directorate of Financial Administration works while still doingsocial distancing so that the payment flow can be applied to date.
Effects of Climate Change on Earth’s Parameters

1st International Conference on Complex Information Systems - Volume 1: COMPLEXIS, 131-138, 2016 , Rome, Italy