Reviewerly/exHarmony huggingface dataset:
Early Adopters to Early Majority - What's Driving the Artificial Intelligence and Machine Learning Powered Transformation in Financial Services?

From retail banking to corporate banking, from property and casualty to personal lines, and from portfolio management to trade processing, the next wave of digital disruption in financial services has been unleashed by the concepts and applications of Artificial Intelligence (AI) and Machine Learning (ML). Together, AI and ML are undoubtedly creating one of the largest technological transformations the world has ever witnessed. Within the advanced streams of research in AI and ML, human intelligence blended with the cognitive reasoning of machines is finally out of the labs and into real-time applications. The Financial Services sector is one of the early adopters of this revolution and arguably much ahead of its leverage compared to other sectors. Built on the conceptual foundations of Innovation diffusion, and a contemporary perspective of enterprise customer life-cycle journey across the AI-value chain defined by McKinsey Global Institute (2017), the current study attempts to highlight the features and use-cases of early-adopters of this transformation. With the theoretical underpinning of technology adoption lifecycle, this paper is an earnest attempt to comment on how AI and ML have been significantly transforming the Financial Services market space from the lens of a domain practitioner. The findings of this study would be of particular relevance to the subject matter experts, Industry analysts, academicians, and researchers focussed on studying the impact of AI and ML in the financial services industry.
SOVIET NEWSPAPER EDITORS1941 AS A SEMIOTIC-COLOR SPECTRUMFROM THE POINT OF VIEW OF QUANTUM THEORY(or Application of the quantum chronos method in the identification of semiotic and coloristic markers of the texts of the Moscow Bolshevik newspaper for 1941, as perceived by modern Ukrainian readers in 2020)

The aimof the study was to use the quantum chronos method to identify semiotic and coloristic markers of the texts of the Moscow Bolshevik newspaper for 1941 when analyzing their perception by modern Ukrainian readers 19-20 years old, living in 2020 and studying at one of the country's universities.Methodology: metaphysical methods of monistic idealism and the method of quantum chronos, as well as approaches, categories and principles of quantum mechanics (“approach to many worlds or approach of many minds” by H. Everett, category of quantum nonlocality). The study used the methodological principles of positivism, namely: the principle of fallibilism by Charles Peirce and critical realism (Popper's criterion). Empirical methods were also involved: associative experiment, observation, description and measurement.The methodology(experimental procedure) consisted in the following: 6 newspaper editorials were selected in six issues of the Russian-language newspaper "Moskovsky Bolshevik" in 1941. The experiment took place on an individual basis from April 1 to April 20, 2020 using the electronic resource “free mail” on the “.ua” domain. 48 subjects aged 19 -21, living in two regions of Ukraine, were asked to see photocopies of newspaper editorials. According to the instructions, the subjects were asked to answer three questions: 1) “What color, in your opinion, is the text that you read?”; 2) “Why exactly this color?”; 3) "What does your chosen color mean?"Conclusions.The use of the quantum chronos method made it possible to establish specific reactions of subjects living in 2020 when analyzing their perception of distant communication texts (six editorials of the Moscow Bolshevik newspaper, which were published on January 15, March 16, May 17, July 16,September 16 and November 16, 1041). We have established that the frequency responses are three colors, namely: black, yellow and red. Semiotic reasons for color identification are reduce to the declaration of the names of the object realities of both thefirst year of the Great Patriotic War (1941) and the modern realities of 2020.
Mass Distance Learning as a Global Social Experiment to Divide People

The article analyzes the problems of education that have worsened during the crisis associated with the pandemic. This is a large complex of problems that threaten not only the development, but also the existence of the education system in Russia. These are methodological problems: the lack of methods and the necessary material and technical base for the implementation of the distance format of mass education. The problems of forming the motivational potential of participants in the educational process, which is very relevant in the conditions of the beginning of the degradation of the education system under the pressure of its bureaucratization. This is a problem of increasing the volume of independent work of students and schoolchildren, which is not provided for by the methods of full-time education. The author draws on Nassim Taleb's concept of "the dictatorship of the small minority". Nassim Taleb claims that the theory of "the dictatorship of the small minority" is quite applicable to such a social institution as science. The minority dictatorship promotes the expanded accelerated digitalization of the education system. This entails stimulating the transformation of society, the transition from an individualized society to a dividualized society. Distance learning should be only a part of education and should be introduced very carefully at the last stages of higher education and in the system of additional education. This thesis is proved in this article. The author concludes that ignoring the problems discussed in the article can lead to a catastrophe of the education system in Russia.
Web Scraping to Inform Curriculum Decisions

This study explored the use of web scraping to examine key words on a popular job hosting site in order to inform curriculum decisions for Computer Information Systems programs. By using a job posting site and web data extraction, this study demonstrated a methodology for gathering large amounts of data and its applicability in evaluating curriculum. When the data was analyzed, it provided useful insights that could aid in curriculum design. Data was analyzed through various text analysis techniques to identify data patterns. Results will help programs focus limited resources on curriculum that benefits a larger subset of their stakeholders.
Social media and storytelling: tools to raise engagement with physics

According to the Global Digital Report 2020, social media active users reach 51% of the world population, with an annual growth of 10%.Due to the penetration of social media in everyday life, many scientific collaborations and institutions are present on different social media platforms and recognize the role they play in reaching a wider audience.Social media engagement can positively influence not only scientific communication, but also the day-to-day job of scientists involved, since their presence on social networks can increase their networking and impact beyond the research community.As a case study, the experience gained as a social media manager of INFN Napoli is presented.Social media were used as a tool to convey a correct message about research activities and to share the emotional side of research.In this paper, the strategies implemented on different platforms, and a way to use storytelling to increase the engagement are reported.Social media proved to be very powerful in connecting physicists with the non-specialized public, in particular with students, and each other.Increasing the visibility and engagement of physicists can have a huge impact on how nonphysicists see scientists and their relationships to science and the scientific community.
Toxicity assessment of residual biomass of microalgae Chlorella sorokiniana

In this paper, the determination of the toxicity of residual biomass of microalgae Chlorella sorokiniana by the method of biotesting with use of the test – object Daphnia magna Straus and algae Chlorella vulgaris Beijer. Determination of the toxic effect is necessary for planning the possibility of further use of waste, as a sorption material for wastewater treatment, as a co-substrate for fermentation of organic waste and in the production of biogas. The residual biomass of Chlorella sorokiniana microalgae is formed after the extraction of valuable components (lipid complex, pigments, proteins, etc.). The extraction of the lipid complex uses organic solvents (hexane, ethyl alcohol), the remains of which can remain in the residual biomass. Determined the acute toxicity of residual biomass of microalgae by water extraction with the help of test-object Daphnia magna Straus and the test object microalgae Chlorella vulgaris Beijer according to standard methods. According to the study waste source of residual biomass to treat the IV class of hazard, ЛКР50-48 = 11.7; БКР10-48 = 35.48. To reduce the toxic effect is proposed to conduct heat treatment. Heat treatment was carried out in a muffle furnace at a temperature of 105 oС for 1 hour. Experimental studies using Daphnia magna Straus crustaceans showed that the value of A is 3%, which indicates the absence of toxicity of residual biomass. When using microalgae toxicity criterion was also not exceeded in any dilution of water, including its original undiluted version. It is established that after heat treatment the residual biomass of microalgae becomes non-toxic and has a V hazard class. The results indicate the possibility of re-use of residual biomass.
Self-Regulated E-Learning and Social Attitudes for Achieving Creative Thinking of Students in Learning Physics in High School

This study aims at analyzing the differences effect of self-regulated e-learning (SReL) and direct e-learning (DeL) on creative thinking (CT) viewed from students' social attitudes (SA).Students' SA are divided into high SA (HSA) and low SA (LSA).The population was 5 classes (168 people) of class X MIPA SMAN 1 Kubutambahan Buleleng Bali at the 2019/2020 academic year.The sample was 4 classes (128 students, or 76.2% of the population) which were selected using a random assignment technique.Furthermore, 2 classes were determined as the SReL group and 2 classes as the DeL group.Data of CT and SA were collected by an essay test and a questionnaire respectively.Data were analyzed by two-way Anacova and test of hypothesis used a significance level of 5%.The research results showed 1) There is a difference effect between SReL and DeL on CT.The CT of students learning using the SReL model was significantly higher than those studying with the DeL model.2) There is a difference effect between HSA and LSA on CT.Students who have HSA achieve higher CT than those who have LSA.There is no interactive effect between learning models and students' SA towards CT.
Quality Assurance of Transformational Leadership in Education

This research is to describe and analyze the quality assurance of transformational leadership of Head of Teachers and Educators Development Division (P3TK) to the subordinates in an education organization at meso-(middle) dimension amid the occurring Covid-19.The method applied is that of qualitative-descriptive approach with research instruments of observation, interview and documentation.The research shows that quality assurance of transformation leadership is crucial to be implemented at meso-dimension of education world to improve service delivery by education staff to education personnel operating in the field so as to maximize harmonious personal interaction during Covid-19 pandemic that has been taking place for a relatively long time.
Noise Reduction from L-Band ALOSPALSAR Data Set Using Spatial Domain Gaussian Low-Pass Filter

The microwave remote sensing system is the broadest tool use to get information about the earth's objects in the form of images.These images are very much affected by various noises, which affects the precision of the images.These, in turn, affect the information present in it.To improve, the quality of satellite images, denoising of the image is an essential task.Gaussian noise majorly seen in all remotely sensed images.Natural sources cause this noise during the acquisition of the image.Many Researchers used Numerous types of filtering techniques to reduce such noises.In this paper, we have focused on lowering Gaussian noise from the microwave satellite dataset.To minimise Gaussian noise, the spatial domain Gaussian Low Pass Filter (GLPF) with different window sizes applied to a single Polarized (HH) L-band ALOS PALSAR satellite SLC level-1 Datasets.The results of filtered images are evaluated based on the respective mean, standard deviation and coefficient of variance.
Lifting dual tree complex wavelets transform

We describe the lifting dual tree complex wavelet transform (LDTCWT), a type of lifting wavelets remodeling that produce complex coefficients by employing a dual tree of lifting wavelets filters to get its real part and imaginary part. Permits the remodel to produce approximate shift invariance, directionally selective filters and reduces the computation time (properties lacking within the classical wavelets transform). We describe a way to estimate the accuracy of this approximation and style appropriate filters to attain this. These benefits are often exploited among applications like denoising, segmentation, image fusion and compression. The results of applications shrinkage denoising demonstrate objective and subjective enhancements over the dual tree complex wavelet transform (DTCWT). The results of the shrinkage denoising example application indicate empirical and subjective enhancements over the DTCWT. The new transform with the DTCWT provide a trade-off between denoising computational competence of performance, and memory necessities. We tend to use the PSNR (peak signal to noise ratio) alongside the structural similarity index measure (SSIM) and the SSIM map to estimate denoised image quality.
CryptoSecurity: Applying Homomorphic Security Schemes to Encrypted Data in Cloud Computing

Cloud computing is a platform which can be used for data storage and processing.Users can outsource their data to cloud environment where various operations can be performed on this data.As the data is private, different concerns are there for security and privacy of user's data over the distributed network.Nowadays, data security is a major concern in higher education.Various techniques are available for mobile devices and used in IOT.Major issue is of data communication arises while using such kind of devices.So the concern arises over the security of data during transfer using public environment.Size and power level available in these small handheld devices is also a major challenge.Mobile environment also creates a big concern over the security of user's data.The paper focuses on various challenges, issues and various technologies available to secure user's data.This paper presents a comparative analysis of various homomorphic encryption techniques.The paper presents the analysis of various homomorphic encryption algorithms such as RSA, ElGamal, Paillier, enhanced homomorphic encryption scheme, AHEE, BGV etc. Comparative study of these public key cryptographic techniques is presented in this paper and also it is shown that ECC method is extensively used nowadays by various Governments as it is more secured while exchanging the information in cloud environment.It can also be improved in future scenarios.
Application of OSPF Network in Spanning Tree Protocol Method to Prevent Looping Routing

Network is a basic thing that must exist in an agency or company, because the network can facilitate us in terms of data exchange and data transfer. In this study the application of the OSPF network to the Spanning Tree Protocol method to maintain Looping Routing using the Graphical Network Simulator 3 (GNS 3) simulator is expected to be the main objective in facilitating work completion, especially in terms of communication system data collection. With the help of Routing which serves to determine the route traveled by a packet that originates from a source node to the destination node on the network. Open shortest path first (OSPF) is one of the dynamic routing protocols that uses a link-state algorithm to build and calculate the shortest path to all known destinations. STP functions as a protocol for managing connections using the spanning tree algorithm.
Meaning Relationship of the Verb Hope and Wish in English

This research is qualitative which aims to describe grammatical form of wish and hope, to classify elements of wish and hope sentences, and to analyse meaning of both words based on meaning tendency of grammatical form and elements. This research uses British National Corpus as data source, then the data are presented informally. This research shows that hope and wish have the same 5 grammatical forms, but hope and wish cannot be used interchangeable for having different tendency. Hope and wish can be synonymous conceptually, but characteristically they cannot be (real-unreal, and desired-wanted).
A Metrics Based Fuzzy Logic Model for Predicting the Reusability of Object Oriented Software

Software reusability facilitates the engineering of new software or systems functionalities without having to start coding from scratch. This software quality provides numerous merits to the software developers including coming up with larger systems within a short time, with reduced development cost and reduced developer effort. However, software reusability is an external software quality attribute that is not measurable directly, and this is a major hindrance factor to its adoption in the software engineering process. This indicates that there is a need to come up with an approach to measure or predict software reusability to give advisories to the software developers on the prediction of software reusability. Therefore, this study aims at coming up with a prediction model to estimate software reusability by employing the use of a fuzzy logic approach, the study focused on Object-Oriented software. The research followed a guideline of four objectives and assumed descriptive and diagnostic methodology. It started by considering the existing ISO/IEC 25010 software quality model to determine and describe the main factors affecting the reusability of Object-Oriented software. The main factors identified were Abstraction, Cohesion and Coupling, thereafter, it was followed by the definition of metrics to measure each of the three factors identified, to operationalize these metrics, they were then validated using Weyuker’s nine properties. After this, the researchers developed a metrics tool to automate the process of computing the metrics values of the defined metrics. Finally, a fuzzy logic prediction model that predicts the reusability of Object-Oriented software was developed based on the metrics values computed by the metrics tool. This model was then validated using the Analytical Hierarchical Process (AHP) framework. The outcome of the four objectives was presented, discussed and future works of this study outlines. This research work is a contribution to the software development industry where the software developers can apply it to engineer reusable software.
Creating Agents of Change through Doctoral Learning

The proposed article seeks to provide a case study of a doctoral program aspiring to create change through student progress and provide an overview of how they have structured program curricula to promote academic and professional growth and empower students to become global leaders. Further, this proposed article is focused on providing a focus on the importance of learning technologies and how doctoral students develop the skill sets and expertise needed to employ technology into educational and organizational contexts to enhance academic outcomes, instructional approaches, and employee productivity. Particularly, information will be provided on the importance of providing students access to cutting edge technologies that are transforming the landscape of educational and organizational learning.
PENINGKATAN PEMAHAMAN DAN IMPLEMENTASI BAHASA NASIONAL DAN INTERNASIONAL BAKU BAGI GURU PAUD DAN SD DI KECAMATAN GETASAN KABUPATEN SEMARANG

The Childhood Education (PAUD) and Elementary School (SD) teachers should have adequate skills and knowledge in teaching, instilling, and being an example or role model for their students. Therefore, it was necessary to increase professionalism in terms of the use of national languages as well as international languages which are needed today, so that Indonesian students can use standard Indonesian properly and correctly.Based on the conditions encountered, the community service team at the Teaching and Education Faculty (FKIP), Satya Wacana Christian University (SWCU) Salatiga carried out community service activities with the aim of opening paradigms and training early-level early childhood and elementary school teachers to have a complete understanding of the concept of standard national and international languages and have the opportunity to improve language competence, especially English. This activity was carried out in the form of training, debriefing, and teaching simulations by four FKIP, UKSW lecturers who have Indonesian, English and educational management backgrounds.The results of the implementation of this activity could be seen at the beginning of understanding of classroom language and obtaining references to the use of standard language in the classroom to be used as capital to apply the Indonesian and English concepts.
P68.02 Computer Extracted Morphology Features of Tumor Nuclei Predict Response to Chemotherapy and Prognostic of OS in Small Cell Lung Cancer

Small cell lung cancer (SCLC) is an aggressive malignancy that accounts for ∼15% of all lung cancers and is characterized by inevitable chemotherapy resistance and rapid progression. To date, there are no consistent predictive biomarkers that can accurately guide the use of systemic therapy in patients with SCLC. We hypothesize that computer extracted morphology features of cancer nuclei from digitized whole slide images (WSI) of pre-treatment H&E biopsy specimens are prognostic of overall survival (OS) and also predict sensitivity to platinum-based chemotherapy.
A Recursive Deterministic Routing Algorithm for Two Dimensional Mesh Network﻿

Network performance in parallel systems, actually, depends on network topology and the used routing algorithm. Routing can be classified as centralized, distributed, deterministic or adaptive. Two Dimensional 2D Mesh is one of the popular general purpose networks due to its node degree is fixed and does not increase as the network size increases, symmetry, embedding of other networks, recursive structure, and excellent scalability. In this paper, we developed an optimal deterministic recursive routing algorithm for 2D Mesh network without wraparound link and enhanced it for 2D Mesh network with wraparound link (Torus).To measure the efficiency of the algorithms, they are applied on 4*7 2D Mesh network, and on 4*7 Torus, respectively.As a result, these routing algorithms are optimal in terms of time and space.
Intelligent navigation of linked data with a graphical interface based on semantic similarity

"Semantic Web Technology proposes the use of linked data and ontologies as a mean for providing meaning to information. Even though several tools for the analysis and visualization of linked data exist, these tools require a lot of specialized knowledge to fulfill a purpose. Additionally, this complexity hardens its use for nonexperienced users therefore limiting semantic web applications. This paper describes a tool that combines the use of a recommendation system and an intuitive dynamic user interface for navigating linked data. The tool guides the user to find resources of interest by highlighting those related to his search intention. This is, the platform learns on the fly the user interest and makes recommendations based on the connections between resources."