Reviewerly/exHarmony huggingface dataset:
Implementation of Modified GSO Based Magic Cube Keys Generation in Cryptography

Over the last few decades, tremendous and exponential expansion in digital contents together with their applications has emerged. The Internet represents the essential leading factor for this expansion, which provides low-cost communication tools worldwide. However, the main drawback of the Internet is related to security problems. In order to provide secure communication, enormous efforts have been spent in the cryptographic field. Recently, cryptographic algorithms have become essential for increasing information safety. However, these algorithms require random keys and can be regarded as compromised when the random keys are cracked via the attackers. Therefore, it is substantial that the generation of keys should be random and hard to crack. In this paper, this is guaranteed via one of the most efficient nature-inspired algorithms emerged by inspiring the movements of stars, galaxies, and galaxy superclusters in the cosmos that can be utilized with a mathematical model (magic cube) for generating hardly cracking random number keys. In the proposed cryptographic system, the Modified Galactic Swarm Optimization (GSO) algorithm has been utilized in which every row and column of magic cube faces are randomly rotated until reaching the optimal face, and the optimal random elements are selected as optimal key from the optimal face. The generated optimized magic cube keys are used with several versions of RC6 algorithms to encrypt various secret texts. Furthermore, these generated keys are also used for encrypting images using the logical XOR operation. The obtained results of NIST tests proved that the generated keys are random and uncorrelated. Moreover, the security of the proposed cryptographic system was proved.
Combination of Color-Based Segmentation, Markov Random Fields and Multilayer Perceptron

Angioectasias are lesions characterized by specific features, related to their color and shape. Since the high prevalence of angioectasias in the small bowel, it is of great importance the development of a method to correctly localize these lesions within the intestinal tissue. Since the differences found in the color of the lesions, when compared with other lesions and the normal tissue, it was developed a method based of the probability segmentation of pixels, with a Markov Random Field property to improve the neighborhood of the lesion. This was done with the CIELab color space, since it was found that has high efficiency in differentiating colors in an image.
RAPID SELECTION OF MOVING WAGONS IN THE SEQUENCE OF VIDEO FRAMES BASED ON THE METHOD OF CALCULATING THE OPTICAL FLOW

With the advent of digital video cameras, it has become possible to process measurement data using a computer, which has led to a wide range of new tasks in digital signal processing. Examples of such tasks are perimeter observation and detection of a moving object, recognition of a moving object, and identification of an object. Research and development of algorithms for processing video data, as a rule, requires a time-consuming computational experiment on model and real data of a large volume. Therefore, it is important to correctly organize the computational process when modifying and testing algorithms.
Audio Visual Media to Improve the Ability to Read Daily Prayers in Early Childhood

This study aims to improve reading daily prayers in kindergarten B children (ages 5-6) using audio-visual media. This study was conducted in RA Happy, Cipinang, East Jakarta. This study used the Jamaris E (2) Planning; (3) Acting; (4) Observing; (5) Reflecting, and (6) final assessment. This study was conducted in 2 cycles, with seven meetings each cycle. Method interviews do data collection with teachers and school stakeholders as well as documentation. This study showed an improvement in reading daily prayers of children aged 5-6 years by using audio-visual media in terms of smoothness in the disclosure of prayer readings, the accuracy of sentence structure, and speech meaning. The increase was significant, namely pre-research data of 49.32% in cycle 1 to 66.47% or up by 17.15% and in the second cycle by 88.81% or up by 22.34%.
Economic Crisis in the Middle East and North Africa

The authors thank Maria Demertzis and Nicolas Veron for their comments. In the 2010s, the economic situation in the Middle East and North Africa (MENA) deteriorated as a result of lower oil and other commodity prices, a new round of domestic political instability, continuous intra-regional conflicts, stalled economic and governance reforms and, finally, the COVID-19 pandemic. The growth of real GDP, which slowed after the global financial crisis of 2008-2009,...
Design and Analysis of Omni-Wheel based Intelligent Wheelchair

Semi-paralyzed patients or patients with severely hampered motor skills find it difficult to operate wheelchairs and also move from the wheelchair to beds for resting. Motorized wheelchairs aid patients but restrict them to maneuver easily in tight spaces or go on uneven terrains. The main reason is when using 4 wheels it becomes difficult to maneuver the wheelchair in tight spaces be it a motorized wheelchair or manual wheelchair. By integrating the concept of Omni-Wheels and a stretcher converting capability we have designed a multipurpose wheelchair that has better maneuverability in close, tight spaces and also the feature to help patients switch the chair into a stretcher. We have fabricated a 1/4th scale prototype of the actual wheelchair design, assembled parts such as 3 motors,3 Omni-wheels, Arduino Uno, L298N motor controllers, breadboard, a 12v battery pack, and IR sensors for obstacle detection with the feature to recline fully and convert the wheelchair into a stretcher. The prototype does differ from the initial full-scaled design, in that it does not feature pneumatic actuators for the converting capability the wheelchair is designed in a cost-effective way which also ensures flexibility and mobility for the user with an extra feature.
Assessing an autistic student's reading comprehension through task-based activities: self-study through narrative inquiry

The understanding reading text is essential for every student. Without knowing the reading content, students will not get information or lessons from the text they read, so it is necessary to assess their reading ability TBLT in the reading learning process. For this reason, researchers conducted research using a qualitative approach by applying the self-study method on narrative inquiry. For this reason, researchers exported their experiences when implementing TBLT to assess an autistic student named Dimas. The learning implementation is divided into three stages. It is reading tasks, drawing tasks, and retelling tasks. All of the tasks are interrelated. The researchers hoped that this research could become a reference for teachers to apply assessment with TBLT and contribute to the development of education globally and comprehensively, especially in Indonesia. The data used in this study are documentation, journal diary, field notes. The validity is done by linking the data from the documentation, journal diary, field notes, and for data analysis, the researcher connects the data with previous theories.
Sociolinguistics of Hindī An Analysis of TV-Mediated Spoken Hindī Features Through TV Programmes’ Language

This paper analyses varieties of Hindī language differentiated on the social ground, namely standard Hindī (the sanskritized language) and non-standard Hindī. The latter, which includes different varieties of spoken Hindī, was studied listening to two TV programs: Delhi Crime and Satyamev Jayate . Several features were observed on every level, but here the focus is on syntax (Hindī word order) and lexicon (code-switching). Information structure theory and pragmatics are used to analyse TV-mediated spoken Hindī word order. The comprehension of these special features can be helpful to predict the changes towards which Hindī tends to move and to give examples of the spoken language.
Contrast Enhancement by Non -linear Diffusion Filtering

To enhance the visual quality of an image that is degraded by uneven light, an effective method is to estimate the illumination component and compress it. Some previous methods either have defects of halo artifacts or contrast loss in the enhanced image due to incorrect estimation. In this paper, we discuss this problem and propose a novel method to estimate the illumination. The illumination is obtained by iteratively solving a nonlinear diffusion equation. During the diffusion process, surround suppression is embedded in the conductance function to specially enhance the diffusive strength in textural areas of the image. The proposed estimation method has the following two merits: First, the boundary areas are preserved in the illumination, and thus, halo artifacts are prevented; and second, textural details are preserved in the reflectance to not suffer from illumination compression, which contributes to the contrast enhancement in the result. Experimental results show that the proposed algorithm achieves excellent performance in artifact removal and local contrast enhancement.
Vacuum-assisted breast biopsy of microcalcifications on the stereotactic prone table and comparison of the histopathologic diagnosis with mammographic features

Aim: Breast cancer is one of the most important causes of mortality and morbidity in women. With the widespread use of screening mammography, the detection of non-palpable suspected cancerous lesions is increasing. Therefore, the use of vacuum-assisted breast biopsy in the management of breast lesions continues to increase. The aim of this study was to evaluate the histopathological results of suspicious microcalcifications which were diagnosed by vacuum-assisted needle biopsy on a stereotactic prone table and to compare the mammographic features of the microcalcifications with the histopathological results. Materials and Methods: The study included a total of 119 patients with a median age of 51 years (range, 33-77 years) who underwent stereotactic biopsy on a prone table because of suspicious microcalcifications between March 2010 and July 2014. Retrospective evaluation was made of the preoperative mammographic features, and the BI-RADS (Breast imaging-reporting and data system) scores of the microcalcifications and the vacuum biopsy and / or excisional histopathological results. Results: Stereotactic vacuum-assisted breast biopsy revealed that 52.1% of the lesions were benign and 47.9% were malignant. After vacuum-assisted stereotactic biopsy 61 patients underwent surgery. In 10 of these (16.3%) the final excisional histopathological diagnosis was benign, and in 51 (83.7%) malignancy was determined. Conclusion: Vacuum-assisted breast biopsy on a stereotactic prone table is a successful technique with a low failure rate for microcalcifications that are non-palpable and have no ultrasonographic findings.
BULLYING AND ITS IMPACTS TOWARD AUGUST IN R.J. PALACIOS WONDER

ABSTRACT Musanto, Rifky. 2019. Bullying and Its Impacts toward August in R.J. Palacio’s Wonder. English Department. State University of Surabaya. Advisor: Pratiwi Retnaningdyah, Ph.D. Keywords: verbal, behavioral, symbolical bullying, and impacts Palacio’s Wonder tells a story of a boy with facial deformation. His facial deformation makes his face look different than the other. Some of his friends, especially Julian, call him bad such as monster, zombie, and so on. It explains that the real situation to discuss is about the bully and how it gives impacts. Therefore, if it has to be formulated into questions, it can be listed to two points as follows: (1) how is bullying toward August depicted in R. J. Palacio’s Wonder? And (2) What are the impacts of the bullying toward August in R. J. Palacio’s Wonder? To reveal those questions, this research uses Olweus’s perspective on bully (1993) with additional points of the types from conceptions of Barry E. McNamara and Francine J. McNamara (1997). The approach of this research is textual approach, the technique of data collection is documentation, and the technique of data analysis is interpretation. This research results that August receives some kinds of bullying such as verbal, behavioral, and symbolical. Those affect to August’s life such as traumatic disorder (anxiety) and lack of social motivation. However, August finally can fight back against bullying by making achievement in his school.
LibGuides: 53rd Annual CBHL 2021 Meeting: Speakers

Program and schedule the 53rd meeting of the Council on Botanical and Horticultural Libraries in Washington D.C., May 5-7, 2021
Motocor: compilación de un corpus técnico paralelo bilingüe (inglés-español) y su aplicación en la traducción directa de un texto sobre automoción

The use of virtual corpora as a translation tool has been shown to offer numerous benefits (Bokwer 2002; Zanettin et al., 2003; Bernardini 2015; Seghiri 2012a, 2017), since it allows the extraction of conceptual information from a single resource being that terminological, stylistic or grammatical. The aim of this paper is to present a protocolized methodology for the compilation of MOTOCOR, a virtual, parallel and bilingual corpus (English-Spanish), representative from a qualitative and quantitative standpoint, in order to subsequently apply it in the Spanish translation of a fragment of technical text corresponding to the textual genre of motorcycle user manuals. Specifically, the exploitation through the corpus management tool Sketch Engine has allowed us to solve terminological, phraseological, as well as grammatical difficulties. In short, the use of this parallel corpus has facilitated the translation and documentary process, allowing us to offer high-quality translations based on real texts of the same genre.
한중 순차통역에서 나타난 수사적 방법에 대한 고찰

Since diplomatic relations between Korea and China normalized in 1992, there has been an overwhelming increase in the number of interpreters and translators that connect speakers of the two countries. However, during the Korean-Chinese consecutive interpretation process, it is common to encounter literal expressions that reproduce the syntactic structure of Korean as it is or awkward expressions that impede the comprehension of the listener. However, there are not many studies that focus on this issue. This study recognized this problem and analyzed errors based on 560 texts from 40 graduates of the Graduate School of Interpretation and Translation in order to provide practical data to the Korean-Chinese consecutive interpretation education field. In order to examine the types of rhetorical errors that appear in the results of learners of Korean-Chinese consecutive interpretation, errors were classified into word rhetoric, phrase rhetoric, sentence rhetoric, and text rhetoric according to the rhetoric structure. The appropriateness of active phonology was considered as well. This paper aims to provide practical and educational material that can be used in the field of consecutive interpretation education from Korean to Chinese.
Modelling the language of cyber scammers: a forensic linguistics analysis of Malaysian illegal investment scheme / Ameiruel Azwan Ab Aziz … [et al.]

Over the last few years, there are growing concerns over the astronomical increase of reported cases of illegal internet investment schemes in Malaysia. Although the Central Bank of Malaysia (CBM) regulates and supervises financial institutions in order to combat illegal investment scheme through Financial Services Act 2013 (FSA 2013) and Islamic Financial Services Act 2013 (IFSA 2013), they do not protect the consumers should they choose to deal with the illegal financial service providers. The large financial losses have a negative impact fiscally on investors' socioeconomic. Hence, this study is proposed to analyse Malaysian illegal internet investment scammers' language properties to provide cyber defense for the public. Using Zhang and Wildemuth's (2009) content analysis process, this study intends to examine the linguistic strategies used by scammers in their websites to deceive their targets. This study will focus on several websites identified by CBM as the primary data source. Semi-structured interviews will be conducted with personnel from relevant government agencies. For triangulation purposes, individuals who have experienced investing and willing to share their experiences and data will be interviewed. All data will be coded and categorised, and emergent themes will be presented to answer research questions. With great hope, this study's results will help provide comprehensive public education about these scams' linguistics strategies as a strong defense against them. The results may also help the authorities develop better crime prevention methods and contribute to the criminal justice system in presenting more significant linguistic evidence in the court of law.
LibGuides: Guide for international professionals at University of Puerto Rico, Río Piedras campus: Important documentation

A guide to help international students find resources of important documentation and subjects of interest. Important documentation that international students need to have before arriving to their respective programs.
Abstract 2803: Classification of lung cancer histology images using deep learning

Abstract The pathologist's diagnosis on glass slides is the basis for clinical and pharmaceutical research and, more importantly, for the decision on how to treat the patient. Diagnosing pathology slides at microscopy-level is a complicated task that requires years of pathologist training. Only in recent years, computational pathology has emerged to facilitate computer-assisted diagnostics and to enable a digital workflow for pathologists. Meanwhile, deep learning architectures have great potential in pathology imaging, since the enormous success and advancement had been achieved in solving image classification tasks, which would reform the digital workflow with higher efficiency, greater capacity. In this study, we utilize various computational methods based on deep learning framework and build a stand-alone diagnostic tool to effectively classify histopathology images. The dataset of tissue slides consists of 135,000 samples from eligible patients with lung cancer in the First Affiliated Hospital of Sun Yat-sen University. The slide images were intercepted in non-overlapping 1500 × 1000 pixel windows at a magnification of ×40. These tiles above were labeled, and split into a training set, for learning the CNN parameters, and validation set, for validating the model, and test set, for evaluating its performance. Then, features were extracted from the heat map to train a slide aggregation model. The malignant classification of lung cancer by the decision support system include the subtype of adenocarcinoma and squamous carcinoma. An accuracy of 86% for non-cancer (normal) vs. malignant (i.e. adenocarcinoma or squamous carcinoma) on slide tile model, as well as an accuracy of 99% for the multi-label classification on slide aggregation model was obtained in the test set. We believe that our method provides an innovative and reliable means for making diagnostic suggestions, and could be deploy as next-generation, artificial intelligence-enhanced CAD technology in diagnostic pathology,which would empower pathologists' efficiency and accuracy to ultimately provide better patient care. Citation Format: Yan YANG, Tiantian ZHEN, Huijuan SHI, Weidong XIE, Anjia HAN, Xunzhang WANG. Classification of lung cancer histology images using deep learning [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2803.
The Influence of E-commerce Web Page Format on Information Area Under Attention Mechanism

With the rapid development of Internet technology and industry, e-commerce has become one of the major shopping channels for Chinese consumers. Different from the traditional web page design. The basic design goal of the e-commerce web page is to promote the use of the e-commerce website and ultimately transfer it to the purchase decision. According to previous studies, web page format design can affect users’ browsing behavior. This paper studies how e-commerce web page format affects users’ attention to information through eye tracking experiment. The eye tracker capture experiment was used to obtain the difference data of user browsing behaviors (browsing path, fixations) under different column ratios. On the one hand, it helps designers to accurately lay out the information content to be presented according to the browsing rules of users, i.e., to place the attention at the corresponding position according to the importance of information; On the other hand, the designer judges in advance the overall information attention effect brought by the design scheme.
Analisa dan Perancangan Aplikasi Cuti atau Ijin Karyawan Menggunakan Aplikasi Berbasis Web

Employees as one element in a company have rights and obligations to the company. One of the rights for employees is leave or permission for a certain time. The obligation of a company is to provide such leave or permission. In the process of applying for leave or employee permits so far, many use conventional processes. Conventional here means still using a form in the form of a sheet of paper leave or permission and must be sent to various parties for approval. This will take a long time and is not in line with the Go Green Program that is being carried out by many companies. Reduce, Re-use, Recycle and Replace are the four concepts of the Go Green program. Replacing the application for leave or permission that has been using a form (paper) by using a web-based application program is a step forward by the company to implement the Go Green concept. Web-based application programs in addition to reducing paper usage also do not require large physical data storage areas. This can be realized by making a web-based leave application which is certainly easier in terms of access to all employees. Meanwhile, data storage can be stored in cloud storage media. In this study, an application design will be made using UML (Unified Modeling Language) to be used as a reference during development. UML provides many diagrams, but in this study only a few diagrams were used. The results of the study indicate that application design using UML can facilitate communication between stakeholders, can make it easier for programmers to translate into programming languages. Using UML can reduce application creation errors and speed up completion.
Aesthetics Evaluation and Usability of Multifunctional Printer Interface

In this paper, among the 13 aesthetic evaluation indexes, 5 indexes including balance, simplicity, sequence, correlation and unity are selected to evaluate the aesthetics of man-machine interface (HCI) for printer. In order to comprehensively evaluate these 5 indexes, this paper uses AHP method to calculate their comprehensive degree, and analyzes the influence of these factors on the comprehensive result. In addition, this study also discusses the relationship between usability and beauty, which provides a certain reference for the design of man-machine interface, so that human-machine interface can achieve a relative balance between aesthetics and usability.