Reviewerly/exHarmony huggingface dataset:
CONFIRMATORY FACTOR ANALYSIS  IN ENTREPRENEURSHIP ON ADMINISTRATORS  AND MEMBERS OF STUDENT COOPERATIVES  IN SURABAYA PRIVATE UNIVERSITIES

Universities are expected to be able to provide students with both theoretical knowledge and the soft skills to use them through student cooperatives. Based on this, our research aims to find solutions to foster entrepreneurial spirit in student cooperatives present in private universities in Surabaya. This study drew its population from members and administrators of student cooperatives who are part of the Surabaya Student Cooperative Association. The sample was taken from 150 people, using a questionnaire for data taking. The results showed that the involvement of students in cooperative activities, both as members and administrators, would encourage growth in entrepreneurial spirit. Factor analysis proved that self-confidence, leadership, creativity, risk-taking, task- and result-oriented, and future-oriented outlooks were important variables of entrepreneurship growth. Thus, it can be concluded that student cooperatives can be used as a place to encourage development of student entrepreneurship skills, so that private universities in Surabaya are able to use this information to address soft skill development.
TEACHING VOCABULARY USING BOARD GAMES; SCATTERGORIESGAME AND WHAT SOMEONE DOES GAME AT THE SECOND GRADE OFSMP KARYA BHAKTI GADINGREJO

This research was intended to compare which one gives higher achievementbetween Scattergories Game and What Someone Does Game in improvingstudents’ vocabulary achievement. The objectives of this research are (1) to findout whether there is significant difference of students’ vocabulary achievementbetween students who are taught through Scattergories Game and What SomeoneDoes Game, (2) to identity which aspect of vocabulary increase higher after beingtaught through Scatterories Game and What Someone Does Game.This research was conducted at The Second Grade of SMP Karya BhaktiGadingrejo. This experimental method deals with 2 groups: VIII A class as theexperimental class 1 taught through Scattergories Game and VIII B class as theexperimental class 2 taught through What Someone Does Game. The data werecollected from the result of pre-test and post-test for the sample students in bothclasses. After getting the data though Scattergories and What Someone Doesgame, researcher analyzed them using Independent Group T-Test through SPSS25.The result showed that the mean score of post-test in the experimental class 1 was80.60 and the mean score of post-test in the experimental class 2 was 74.67.Probability level (p) was 0.026 and it was lower than 0.05 (p<0.05). ScattergoriesGame was a simple technique which the students should play the game in a groupbut they have to work individually. On the other hand, What Someone DoesGame was rather complex game because it was team work game that each teamwas divided into four players with different work.iiIt can be concluded that the teaching applied Scattergories Game gives betterresult than teaching applied What Someone Does Game in term of students’vocabulary achievement. Scattergories Game is more effective to be applied inteaching vocabulary to students of junior high school. The researcher suggests thatthe English teachers in junior high school level apply Scattergories Game whenthe material need to be achieved individually, and What Someone Does Gamewhen the students have to work together.
SEXUAL HAZING AND ABUSE PHENOMENA IN TONI MORRISON THE BLUEST EYE

This essay focuses the discussion on sexual hazing and sexual abuse phenomena which had happened to several roles in Toni Morrisonâ€™s The Bluest Eye. The method used was a descriptive confirmatory method meaning the method approached and analyzed the study based on the confirmation of the theory and data from its own novel. In addition, this essay applied some points about socialist feminism as the additional reference of discussion. Socialist feminism itself is a branch of feminism that focuses upon both the public and private spheres of womenâ€™s life and argues that liberation can only be achieved by working to end both the economic and cultural resources of womenâ€™s oppression. The result showed Cholly had an sexual experience with humiliation, Frieda who was experienced abuse from Mr. Henry as well as Pecola, the lead role of this novel who had sexual hazing through rape.
Site Awareness in Music – recontextualizing a sensation of another place

The project argues that a sensation of another place is vital to the recognition of unfamiliar perspectives. Space and sound are inextricably connected. The surroundings and context are central to how we perceive external stimuli, such as images, events, history, ideas or music. The brain interprets and make choices by association, based on what the body perceives and based on previous knowledge and experience. How humans listen, hear, see, perceive, interpret and react to our surroundings are based on our cognitive structures. An unformatting of society is needed. A risk makes the body and brain aware and alert. Adrenalin is released to the blood, enabling the organism to sudden and severe effort. Risk implies something unestablished, uncertain, a danger, something unknown. Risk implies the possibility of failure and ultimately death. Risk increase anxiety and excitement, enabling the alertness needed to maneuver away from or solve problems. When something is at stake, interest is set into play. The unknown is by its very nature beyond the body’s experience. The project is about increasing the awareness of the situational and contextual implications of music. This is enquired through three works. For each site or situation I work with, I analyze its characteristics, such as acoustical conditions, the relations of the place to its surroundings, the shape of the landscape and historical or political context. I try to create immersive, audiovisual projects that are connected to a certain place. I aim to involve qualities and characteristics from the place, shaping a conversation, putting something at stake. I conceive a music activating the place, making created situations. I do this because there is a close link between memory, comprehension and place. The sense of place and ability to navigate is essential to our memory and bodily existence in the world. Main supervisor: Ole Lützow-Holm Second supervisor: Marianne Heier
Studi Literatur Analisis Malware Menggunakan Metode Analisis Dinamis dan Statis

Malware is software or software created to infiltrate or damage computer systems. The spread of malware today is so easy either through a USB flash drive, certain advertisements on websites, and other media. Everything is very closely related to crime such as theft of les, credit cards, internet banking and so forth. In this regard, there is a eld that deals with crime namely digital forensics. One of the stages in digital forensics is analyzing digital evidence, in this case malware. To prove a piece of software, it is said that malware is knowing how the program works on a computer system. The Dynamic and Static Malware Analysis Method is a combination of methods that are suitable for analyzing how malware works. Based on an analysis of the workings of malware (poison ivy), it can be concluded that there are several signatures, file names, and strings that have been investigated in fact can be able to log in remotely without being noticed by the computer owner.
Optimal Solution in Generator Selection

Optimal Solution in Generator SelectionThis paper focuses on the application of nonlinear programming in solving the optimal selection strategy of generator.A nonlinear programming model for optimal scheme selection was established.Comparative analysis, numerical combination analysis and sensitivity analysis were used to solve the problem, and MATLAB, LINGO and other software were used to assist the calculation.According to the actual background provided in this paper, it can be concluded that the minimum cost of this factory in a week of power failure is 1868443.7 yuan without charging.If the remaining 20% of the battery is taken into account, the minimum charge is 2575502.0yuan.After obtaining the results, the sensitivity analysis was carried out to improve the practicability of the results.
An interdisciplinary approach for security, privacy and trust in the electronic medical record : A pragmatic legal perspective

The use of electronic medical records in healthcare institutions is becoming more widespread, bringing benefits in terms of quality, security and efficiency of patient care. The development of e-health, i.e. the integrated use of information and communication technologies and services, is considered a performance factor in medicine. The purpose of this article is to identify the key success factors of cybersecurity for e-health and to demonstrate that the effectiveness of cybersecurity depends on the complementarity of organizational, managerial, human, legal and technical measures. Technical innovation alone cannot meet the requirements of security and trust. The latter must be achieved through organizational policies that take into account the needs of each party. Our research was conducted from a European perspective and focused on Swiss university hospitals and the laws applicable to them. Since the issues are similar everywhere, however, the recommendations are generic, global and effective in different countries.
The Third Generation University in the Context of the Fourth Industrial Revolution

This study identifies the organizational and academic characteristics of the three generations of world universities and their two transition periods. In particular, from the second-generation university (2GU) to the third-generation university (3GU), the higher education institutions have developed from a closed level to an open and flexible level of training and from single disciplines to interdisciplinary research and innovation. In terms of these academic aspects, 3GU is an iterative development of the characteristics of 1GU university, but at a higher level, more comprehensive and more thorough. About the organization, with the proposed 90-degree rotation matrix structure, the 2GU university can move from a centralized and bureaucratic management model to a high autonomy one. The subsidized financial mechanism has shifted to a competency-based competition mechanism. With that transformation, the 3GU generation university can both meet its mission as well as the requirements of industrial revolution 4.0. In particular, with the way the budget is organized into four ﬂows of ﬁnance, the 3GU university can completely break with the direct attentions of the government. Universities become fully independent organizations with autonomy in defining their rules of operation. Instead of trying to ensure quality with its own control, the government can let the university system operate on a market competitive mechanism.
Top down, bottom up and everything in between: Presentation at NIH Workshop on the Role of Generalist Repositories to Enhance Data Discoverability and Reuse Feb 2020

Presentation at NIH Workshop on the Role of Generalist Repositories to Enhance Data Discoverability and Reuse Feb 2020 https://www.scgcorp.com/repositories2020/
Integrating Literary Works as the Local Content of ELT Materials for Undergraduate Students

The objective of this study is to design English materials for undergraduate students. In designing the materials, the writers focused on the general English materials integrated with Bangkanese’ Folks as one of the literary works existing in Bangka Belitung Province, Indonesia. This idea was based on the writers’ awareness to introduce local values to the students. Thus, the existing literary works were taken and modified by the writers to meet the purpose of the research. The writers used the theory of Hutchinson and Waters (1987) and Borg &amp; Gall (1989). The theory offered six steps, namely need analysis, writing syllabus, developing materials, trying-out materials, evaluating materials, revision, and writing the final draft. The participants of the research were 37 students studying in one of the private colleges in Bangka Belitung Province. These participants were chosen randomly. The designed ELT materials integrated the English lessons and the local folktales and culture. The integration was intended to improve the students’ communicative competence of both productive and receptive skills. Furthermore, it was expected that the designed materials were able to encourage the students to communicate more communicatively and appropriately in their social context.
Pebble Morphometric Studies of Part of Bida Formation, Northern Bida Basin, North Central Nigeria

The Bida formation exposed in Doko locality, Bida town appeared Massive, poorly sorted with localized sedimentary structures.The formation shows three lithofacies: mf, ssf and sf respectively. The formation grades into more matured upward, the pebblesare found within the sf unit as lenses and as scattered pebbles. Vernier caliper was used to measure the Longest, intermediate and shortest axes that are mutually perpendicular for each pebble. These values were used to compute different morphometricparameters as a single variable including MPSI, OPI, FR, ER, R and CF. These parameters were also used as dependent variables in bivariate plots to characterize the depositional process. The average values of MPSI, OPI, FR, ER, and CF are: 0.64, 3.01,0.41, 0.63, 44.5 and 40.73 respectively. The ternary plot of the ratios of the three-axis showed that most samples fall within Bladed(B) field while some other few on Elongate(E) Field, the plot of MPSI versus OPI, FI versus MPSI and R versus ER. Both independent and dependent parameters showed that the Bida formation was deposited by both river and beach processes. Its therefore deduced that the fluvial deposits were later modified by marine activities, possibly during the transgression period.
Characterizing lattices for cryptography

In this document, we aim to introduce a proposal of poster presentation at the XXVII Unicamp’s Scientific Initiation Congress that will deal with the work that has been done on the characterization of lattices for cryptographic purposes. A lattice is a discrete additive subgroup of the n-dimensional real space that has a periodic structure. In other words, a lattice is a set constructed by all the integer combinations of linearly independent vectors defined on the n-dimensional real space.The usage of lattices for construct cryptographic models begins with the breakthrough work of Ajtai in 1996 ¹. Since then, cryptography based on lattices is being developed more and more, aiming to face the growing advance of computing power. In addition, some cryptographic models built on problems of non-polynomial difficulty on lattices are being considered as security solutions for building cryptoschemes that could face attacks from a sufficiently powerful quantum computer that may appear on the coming years. With this in perspective in view, it is interesting to characterize lattice structures and its parameters to create secure and efficient cryptoschemes.
CONCEPTS OF GRAPH THEORY AND ITS APPLICATIONS

The main objective of this paper is to introduce the main concepts of Graph theory and study about connected graph, Eulerian graph, Hamiltonian graph etc. Graph theory is a branch of mathematics which has wide application in the area of mathematics as well as in other branches of science. This paper aims to emphasize the applications of graph theory in our daily life, in Computer science, Operation Research, Chemistry etc.
Settlement and Blockchain Equilibria

Existing blockchain protocols based on the proof-of-work consensus mechanism, such as Bitcoin, necessarily feature a time lag of roughly one hour before users can ``trust'' the information on the blockchain. In Bitcoin, this lag results in a settlement lag before parties are willing to exchange real goods and services in exchange for tokens. The time delay plays a key role in securing the data on the blockchain from malicious attacks or those attempting to overwrite the history of the data. However, this time delay is not sufficient to secure the data from attacks when the value of transactions supported by the blockchain becomes sufficiently large. In this paper, we show how the settlement lag may be used to develop a new consensus mechanism which significantly improves the security of blockchain data and, in some cases, eliminates theoretical limitations on the economic value of transactions supported by blockchains. We further demonstrate how to optimize the settlement lag to maintain security while ensuring the usefulness of the blockchain to facilitate transactional services.
FEATURES OF HIDING INFORMATION IN IMAGES WITH USING THE LEAST SIGNIFICANT BIT

In the article has considered the peculiarities of steganographic algorithms implemenation for hiding information in inmoveable images. Authors has described different embedding algorithms which use the method of least significant bit. In particular, the use of digital filtering allows you to better select the necessary pixels for embedding, and the use of a pseudorandom sequence generator allows you to more effectively hide secret information, complicating the search for secret information to the attacker.From the existing color palettes to represent inmoveable images have been selected the most common RGB pal-ette, which contains red, green, and blue intensities to produce image pixels. Colors that are less sensitive to the human eye are used to form the filled steganographic containers to provide additional visual stability.Also, in the paper authors have investigated the features of hiding digital text information in a inmoveable image as a BMP file and have realized an algorithm that for images of different size allows you to hide a text file of the necessary size. In particular, the number of bytes of the secret message is written to the original container to retrieve the required number of characters during searching. In addition, it takes into account the peculiarities of forming a BMP file that contains additional alignment bytes of the string.In general, the algorithm allows you to select a container file of the appropriate size to hide the secret information, as well as the colors of the palette in which the information will be embedded. The extracting of secret information occurs until the number of bytes of the hidden message is reached. This value has recorded at the beginning of the hiding text. You can use encryption or compression algorithms to complication searching of clear text by attacker. Only users those who are aware of the algorithms used and perhaps the keys will be able to read the hidden information correctly.
RDA Beta Toolkit Workshop: From overview to creating linked data

Slides from a 4-hour workshop on the Beta RDA Toolkit, combining short presentations and hands-on exercises to help build an understanding of the new RDA Toolkit's structure, navigation basics, and new concepts. Concluded with an opportunity for attendees to practice these concepts in RIMMF4 (RDA in Many Metadata Formats, version 4) using select examples of scores and recordings. Given as a preconference for the 2020 Music Library Association Annual Meeting.
Strategi Marketing Penerimaan Mahasiswa Baru Menggunakan Machine Learning dengan Teknik Clustering

The marketing activity of new student admissions is one of the efforts undertaken by a university to maintain its existence in order to remain known and gain interest from the wider community. From the results of observations made at the research location, marketing activities carried out so far are still carried out in the same way from year to year without distinguishing the characteristics of the target prospective registrants, so the marketing pattern undertaken is not necessarily effective for all prospective applicants who have different characteristics - different . Therefore, it is necessary to make an effort to target target applicants based on certain characteristics to facilitate the determination of strategies and marketing patterns for new student admissions. The aim of this research is to group students' spread data using Machine Learning Technology approach using Clustering technique. This research resulted in the grouping of registrants in the admission activities of new students divided into 3 cluster groups, namely cluster 1 by 11%, cluster 2 by 56% and cluster 3 by 33%.
Abstract P5-02-06: Improved histologic grading of breast cancer by a novel deep learning-based model

Abstract Breast cancer histologic grade is a well-established prognostic factor utilized in clinical decision making. In current clinical practice grading is conducted manually by pathologists and this procedure is associated with a substantial inter-observer variability. Furthermore, patients classified as histologic grade 2 has been reported to exhibit an intermediate recurrence risk, resulting in less prognostic value. With the aim of improving patient stratification, we have developed a model-based approach for histological grading using deep convolutional neural networks (CNNs). In this study, we developed a CNN model for improved histologic grading, with a focus on further stratification of grade 2 patients into high and low risk groups. Histopathology images from the Clinseq breast cancer study and the Cancer Genome Atlas (TCGA) containing 730 patients were scanned at 40X magnification and tiled into patches at 20X. In total, we obtained 5.3 million patches of size 299 × 299 pixels. Using image annotations of invasive cancer regions in Clinseq study, we trained a deep CNN model to segment cancer regions in TCGA data. Subsequently, the cancer regions from both Clinseq and TCGA were used to optimize a second deep CNN model for classification of grade 1 and 3, this model was applied to re-classify 291 patients with histologic grade 2 into low and high risk. The CNN model classified cancer and non-cancer with area under the receiver operating characteristic curve (AUC) of 0.941. The second CNN model achieved an AUC of 0.910 in terms of classification of grade 1 and 3 tumors (cross-validation). For grade 2 tumors (independent test data), 184 were re-classified into the lower risk group whereas 107 were classified as high risk. The risk of recurrence for the grade 2 higher risk group is significantly higher than that in lower risk group, with an estimated hazard ratio of 2.86 (95% confidence interval: 1.21-6.69) after adjusting for age, tumor size, estrogen receptor status and lymph node status. In conclusion, we found that the deep CNN model demonstrated a high capability to distinguish between breast cancer with histologic grade 1 and 3. We also found that re-stratification of Grade 2 patients into high and low risk groups was significantly associated with risk of recurrence. Improved histological grading, and further risk stratification of grade 2 patients, by deep CNN models could contribute towards a reduction of both over- and under-treatment of breast cancer patients. Citation Format: Mattias Rantalainen, Yinxi Wang, Balázs Ácz, Stephanie Robertson, Johan Hartman. Improved histologic grading of breast cancer by a novel deep learning-based model [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-02-06.