Reviewerly/exHarmony huggingface dataset:
AN ANALYSIS OF REPRESENTATIVE IN DONALD TRUMP’S IMPEACHMENT CAMPAIGN

This research is an analysis of representative in Donal Trump’s impeachment campaign. The aim of this reasearch is to know how Donal Trump applied representative to persuade the hearers. How a speech of Donal Trump could affect the audience to do something for him to win the second election. In this study, the researcher used qualitative method, and the data were collected from a speech text. The transcript speech text of Donal Trump’s utterances consisting of representative was the instrument of this research. Then, to find and analyze the representative showed in the text speech, the researcher used a theory of John R. Searle (1969) which explains that representative is one of the illocutionary acts that the utterance with the intention to commit the speaker to do something with the truth of expressed proposition. The representatives found in this research were, 1 representative of stating, 3 representatives of informing, 1 representative of predicting, 1 representative of reporting, 1 representative of describing, 1 representative of complaining, 1 representative of claiming, and 2 representatives of asserting. In this study showed that Donal Trump succeed inciting the hearers making a riot to the capitol by believeing in his statements on his impeachment campaign. How his utterances were manipulative and making the audience agreed to the statements he said. The researcher hopes that this analysis would be useful who would like to learn about speech act and illocutionary act, especially about representative illocutionary act.
PERSONALITY DEVELOPMENT OF EDWARD TULANE IN KATE DICAMILLO’S THE MIRACULOUS JOURNEY OF EDWARD TULANE

The researcher analysis Edward Tulane as the character who has experienced his personality development in his life in the novel The Miraculous Journey of Edward Tulane. The researcher formulates two research problems in this study, the objectives are to to find out of Edward Tulane’s personality and to find out Edward Tulane’s personality development in DiCamillo’s novel entitled The Miraculous Journey of Edward Tulane. The research method applied in this study is qualitative with an intrinsic approach. The study's data item is derived from the dialogue. The discussion focuses on Edward Tulane, the main character, who goes on a miraculous journey that changes his entire life. Life experience is able to change someone’s personality from a bad to a good personality. Experience and an event literally can change Edward Tulane’s life and his personality. The finding of this study is Edward Tulane's personality is changing from arrogant to a caring rabbit china doll.
Collection Analysis Using Different Tools: Report of the Catalog Management Interest Group Meeting, ALA Core Interest Group Week, March 2023

Click to increase image sizeClick to decrease image size Disclosure statementNo potential conflict of interest was reported by the author.
MSF-Net: A Multilevel Spatiotemporal Feature Fusion Network Combines Attention for Action Recognition

An action recognition network that combines multi-level spatiotemporal feature fusion with an attention mechanism is proposed as a solution to the issues of single spatiotemporal feature scale extraction, information redundancy, and insufficient extraction of frequency domain information in channels in 3D convolutional neural networks. Firstly, based on 3D CNN, this paper designs a new multilevel spatiotemporal feature fusion (MSF) structure, which is embedded in the network model, mainly through multilevel spatiotemporal feature separation, splicing and fusion, to achieve the fusion of spatial perceptual fields and short-medium-long time series information at different scales with reduced network parameters; In the second step, a multi-frequency channel and spatiotemporal attention module (FSAM) is introduced to assign different frequency features and spatiotemporal features in the channels are assigned corresponding weights to reduce the information redundancy of the feature maps. Finally, we embed the proposed method into the R3D model, which replaced the 2D convolutional filters in the 2D Resnet with 3D convolutional filters and conduct extensive experimental validation on the small and medium-sized dataset UCF101 and the large-sized dataset Kinetics-400. The findings revealed that our model increased the recognition accuracy on both datasets. Results on the UCF101 dataset, in particular, demonstrate that our model outperforms R3D in terms of a maximum recognition accuracy improvement of 7.2% while using 34.2% fewer parameters. The MSF and FSAM are migrated to another traditional 3D action recognition model named C3D for application testing. The test results based on UCF101 show that the recognition accuracy is improved by 8.9%, proving the strong generalization ability and universality of the method in this paper.
STRATEGIES IN ENGLISH SPEAKING LEARNING BY THE FOURTH SEMESTER STUDENTS OF ENGLISH DEPARTMENT AT SINTUWU MAROSO UNIVERSITY

The purpose of this research is to find out the learning strategies used by the fourth-semester students of English Language Education Study Program at Sintuwu Maroso University. The design of this research is qualitative research that uses three kinds of data instruments. namely questionnaires, interviews, and documentations. Each of instrument contains questions related to speaking learning strategies. The object is the fourth semester students of English Language Education Study Program in academic year 2021/2022 enrolled in Academic Speaking Class. The result shows that the fourth semester students of English Language Education Study Program used some learning strategies from O’Malley and Chamot (2012). They used four sub-categories from Metacognitive strategies consisting of Self-Management, Self-Evaluation, Organizational Planning, and Directed-Attention. Four sub-categories from Cognitive consisting of Resourcing, Keyword-Method, Deduction, and Repetition. The fourth semester students used all strategies from Socio-Affective strategies that consisting of Questioning for Clarification and Cooperation
Securing Transmitted Color Images Using Zero Watermarking and Advanced Encryption Standard on Raspberry Pi

Image authentication techniques have recently received a lot of attention for protecting images against unauthorized access. Due to the wide use of the Internet nowadays, the need to ensure data integrity and authentication increases. Many techniques, such as watermarking and encryption, are used for securing images transmitted via the Internet. The majority of watermarking systems are PC-based, but they are not very portable. Hardware-based watermarking methods need to be developed to accommodate real-time applications and provide portability. This paper presents hybrid data security techniques using a zero watermarking method to provide copyright protection for the transmitted color images using multi-channel orthogonal Legendre Fourier moments of fractional orders (MFrLFMs) and the advanced encryption standard (AES) algorithm on a low-cost Raspberry Pi. In order to increase embedding robustness, the watermark picture is scrambled using the Arnold method. Zero watermarking is implemented on the Raspberry Pi to produce a real-time ownership verification key. Before sending the ownership verification key and the original image to the monitoring station, we can encrypt the transmitted data with AES for additional security and hide any viewable information. The receiver next verifies the received image’s integrity to confirm its authenticity and that it has not been tampered with. We assessed the suggested algorithm’s resistance to many attacks. The suggested algorithm provides a reasonable degree of robustness while still being perceptible. The proposed method provides improved bit error rate (BER) and normalized correlation (NC) values compared to previous zero watermarking approaches. AES performance analysis is performed to demonstrate its effectiveness. Using a 256 × 256 image size, it takes only 2 s to apply the zero-watermark algorithm on the Raspberry Pi.
SISTEM INFORMASI AKUNTANSI MANAJEMEN KEUANGAN BERBASIS MULTI USER PADA KOPERASI AROFAH KENDAL

Currently, the majority of the Arofah Kendal Cooperative in financial management is still in the form of files, causing accumulation, damage, difficulty finding and even loss of financial data which has resulted in the Arofah Kendal Cooperative experiencing difficulties in presenting reports. The Arofah Kendal Cooperative always experiences an increase in transactions for the number of deposits and loans. The customer financial service system is centralized on one computer, so services must take turns, which takes a long time and is less effective. Implementing a Multi-User-Based Financial Management Accounting Information System, the Arofah Kendal Cooperative is able to overcome problems related to processing, financial filing and reporting. With a multi-user application, the database of the Arofah Kendal Cooperative is connected to each other to make it easier for each user to access the system according to authority simultaneously for data collection, financial transactions that can present up to date financial information according to the needs of cooperative management which provides effectiveness and efficiency in financial management, improves employee performance and maximizing customer service satisfaction for the Arofah Kendal Cooperative.
Perancangan Prototype User Interface Dan Pengujian User Experience Aplikasi Rental Mobil Berbasis Menggunakan Metode Design Thinking ( Studi Kasus : Pt Trans Berjaya Khatulistiwa)

PT Trans Berjaya Khatulistiwa or commonly called Tiketux is a travel ticket booking service company, and mobile and web application developer. Currently Tiketux is developing a web application regarding car rental, to get the results of a UI/UX design that are right on target with user needs using the design thinking method. The design stage in this method is to take an approach that does not only focus on what is seen (the user interface) and felt by the user, but also focuses on the user experience. The research method used is a mix method, namely conducting observations, distributing questionnaires, and searching for data literature through books or journals related to research. The results obtained in this car rental application have good usability for users. This can be seen from the SUS trial regarding the designed user interface prototype
Automated writing evaluation tools for Indonesian undergraduate English as a foreign language students’ writing

&lt;span lang="EN-US"&gt;Nowadays, many computer programs are used in the teaching of writing in the context of English as a foreign language (EFL). One of the functions of the computer programs is to provide feedback to EFL students’ writing so that the quality of their writing can be improved. This study aimed to investigate whether the use of free automated writing evaluation (AWE) tools affect undergraduate EFL students’ writing skills. In this experimental study, 35 Indonesian undergraduate students of English education department were asked to use two AWE tools, Grammarly and Grammark, in the writing course over four months. Data for this study were collected by using tests and questionnaire. Pre-test, middle test, and post-test were administered to examine the students’ writing skill improvement. The findings indicate that the sequenced use of two AWE tools, Grammarly followed by Grammark, had a beneficial effect on students’ writing skill improvement. This study confirms the benefits of free AWE tools in enhancing EFL students’ writing skills.&lt;/span&gt;
Writing scientific articles for undergraduate students: A need analysis

&lt;span lang="EN-US"&gt;Excellent and appropriate teaching materials are based on the results of needs analysis. They significantly affect students’ ability to write scientific articles and increase their knowledge and understanding of scientific papers required by indexed and reputable journals. This article explores the target needs (i.e., necessities, lacks, and wants) for teaching materials based on accredited journal criteria for scientific article writing. The design used is a case study. The data were collected using a questionnaire about target needs based on the theory of Hutchinson and Waters, namely lacks, necessities, and wants, and a focus group interview. The results showed that students must learn about teaching materials to write scientific articles to improve their writing quality. Regarding the students’ lack of learning material for writing scientific articles, 85.53% indicated students’ lack of IMRAD or introduction, method, result and discussion, and conclusion format research articles. According to students’ perceptions, restating the research objective and approach and creating a research gap is the most difficult. Among 72 participants, 80% mentioned learning how to write based on the IMRAD format creating a research gap found to be the most critical skill they want to learn in the new course and then followed by summarizing and presenting data.&lt;/span&gt;
Balancing privacy at the time of pandemic: global observation

The rapid outbreak of COVID-19 has initiated the development of mobile applications aiming at helping public health authorities to slow down viral diffusion. The proliferation of these applications engenders challenges to forge a balance between ‘public health utility’ and ‘personal privacy’. This paper scrutinizes various applications that collect personal data according to their functions and data protection compliance. These applications are mostly of three broader categories- contact tracing, self-assessment, and quarantine enforcement. We conduct systematic categorization based on five parameters-type of owner or provider, host platform, functionalities, the existence of privacy policy, and state of the source code. A total of 122 apps encompassing 83 countries were assessed during a research period of 20 days (June 1 to 20, 2020). Findings suggest that although the majority of the applications publish a privacy policy, many applications do not give information in detail, making the issue of privacy obscure. The majority of the applications collect various sensitive personal data irrespective of their functionalities, provider, and platform. Most applications are not open source raising concerns over trust and transparency. The findings are valuable to policymakers who are formulating short, mid, and long-term technology policies to strike a balance between functionality and personal privacy.
Discriminant Analysis Using Gabor Filter Sets for Lobular Endocervical Glandular Hyperplasia: Numerical Interpretation of Nuclear Atypia by Gabor Filter Features

Introduction: Lobular endocervical glandular hyperplasia (LEGH) is a benign lesion; however, it is considered to be the origin of gastric-type adenocarcinoma in the uterine cervix, and early diagnosis is important. At Shinshu University Hospital, screening of LEGH cells is based on the difference in color tone of cytoplasmic mucin on Papanicolaou staining and detection of gastric mucin using HIK1083-labeled latex agglutination assay. However, it is sometimes difficult to distinguish LEGH cells with subtle nuclear atypia from endocervical (EC) cells. Methods: We calculated the Gabor filter features (mean signal value, standard deviation, skewness, kurtosis) from the nuclei of cytological specimens in EC cells (37 cases) and LEGH cells (33 cases) using microscopic images, and we performed statistical analysis and discriminant analysis by linear support vector machine (LSVM) using these features. A Gabor filter is a linear filter defined as a mathematical representation of the mammalian visual system. Gabor filters with three wavelengths and eight angles were used for analysis. Results: Gabor filter features in EC cells were higher than in LEGH cells, demonstrating that the gradient of LEGH cell nuclei was milder than that of EC cell nuclei. The accuracy calculated using all Gabor filters was 91.0% and the accuracy of four Gabor filters (λ = 2/3π and θ = 0°, 45°, 90°, 135°) was 88.9%. High accuracy with low computation costs was achieved by reducing the number of features used for LSVM. Conclusion: The application of a Gabor filter with convolutional processing resulted in the edges of LEGH cells being slightly rough and thick, whereas those of EC cells were fine and thin. Thus, it is thought that the frequency of abrupt gradients of pixels was higher in EC cells than in LEGH cells, and the gradient of chromatin distribution in LEGH cell nuclei was milder than that in EC cell nuclei. It was possible to evaluate nuclear findings of EC and LEGH cells objectively by quantifying morphological features of nuclei using Gabor filters. It was possible to differentiate EC cells from LEGH cells using LSVM using Gabor filter features.
Recurrence relation for real-time audio fading

Starting from shaping the audio fade profile by an invertible rational function, with playback position as the input, we derive a recurrence relation that enables the audio volume updating as long as the time domain discretization is carried out with a constant step size. The resulted recurrence relation yields the audio volume current value as rational function of its previous value only, thus being suitable for efficiently implementing real-time adjustable fades whenever the adopted programming language (or software framework) allows the invocation of timing events. A JavaScript implementation, prepared for straightaway experimentation, and put forward in the paper, highlights the convenience of associating the derived recurrence relation with the "setInterval()" method in order to perform real-time audio fades, which can resemble either the logarithmic shape fade or the fade of exponential shape.
IMSS System Level View

It is necessary to know the typical topology and use cases for Intelligent Multi-Modal Security Systems (IMSS) to understand the security considerations.
A quantum-bit encoding converter for quantum interconnects

Here we demonstrate the conversion of quantum information between optical discrete- and continuous-variable qubits. We certify the protocol with fidelities exceeding the classical limit. Our result demonstrates an essential tool for enabling interconnected quantum architectures.
A Quantum Photonic Chip for Binary Classification

On the silicon photonic chip, we apply Mach Zehnder Interferometer (MZI) and optical network to manipulate the phase difference and amplitude distribution of the input light. The two or three-dimensional input data is encoded in the light amplitude distribution and the genetic algorithm is applied to update the angle parameters of the MZIs to improve the classification result.
Securing the IMSS Assets

This chapter provides an introductory understanding of assets, threat modeling, attacks, and mitigations. Let’s start with a few definitions. Assets are the things that have value or present risk. Assets include personally identifying data like IDs, names, locations; confidential data like trade secrets or intellectual property; and cryptographic secrets like keys. Also the security processes like encryption and decryption processing, hashing, and signing and signature verification can be considered assets.
As We Go to Press

The threat economy continues to evolve rapidly, as well as the technology, standards, and regulations that impact Intelligent Multi-modal Security Systems. Yogi Berra said, “it’s tough to make predictions, especially about the future.” Nonetheless, the people that look around the corner are the ones that are less likely to be surprised. To conclude this text, we will discuss emerging IMSS trends to watch to help you understand your needs for maintaining existing systems and specifying and designing new ones.
Distributed phase sensing using two-mode squeezed states in a truncated SU(1,1) interferometer

We demonstrate distributed phase sensing with a truncated SU(1,1) interferometer through the measurement of a linear combination of two phases distributed between the two beams of a two-mode squeezed state. We theoretically analyze the sensitivity enhancement with respect to the corresponding classical strategy and experimentally demonstrate a 2 dB quantum noise reduction in the measurement of a linear combination of two phases.
Fully passive logic using 1-GHz in-fibre phase filters

We report realization of an integrated (all-pass) phase-only filter with a record frequency resolution of 1 GHz (at least 10× improvement compared to a waveshaper) using Bragg grating technology in an all-fibre platform. The phase filter is utilized to realize high-speed fully-passive NOT and XNOR logic operations in a cm-long structure.
Microring-based programmable coherent optical neural networks

We design, simulate, and train a coherent optical neural network fully based on microring resonators including the linear multiplication and the reconfigurable nonlinear activation components, which shows advantages in terms of device footprint and energy efficiency.
Deep Learning Enabled Reconfigurable Terahertz Holograms with Cascaded Diffractive Optical Elements

This work demonstrates the design, fabrication, and measurement of cascaded diffractive optical elements to enable the realization of reconfigurable terahertz holograms by altering either the number, spacing, order and rotational alignment of the elements.
JUNIOR HIGH SCHOOL STUDENTS’ DIGITAL LITERACY LEVEL DURING LEARNING IN PANDEMIC TIME

This research aims to determine the level of digital literacy of junior high school students during learning in pandemic time. The nature of this research is a descriptive quantitative, and data are collected through distributing online questionnaires to 106 respondents from three junior high schools in Mori Atas sub-regency, Morowali regency, Central Sulawesi. The results showed that during pandemic time, the level of digital literacy of junior high school students in Mori Atas sub-regency reaches intermediate level in the aspects of digital information processing, creating digital content, and safety and problem solving in accessing digital information. This implies that the junior high school students in Mori Atas sub-regency are ready for a digital-age learning culture in their near future.
False Respondents in Web Surveys

Purpose: The aim of the conducted analyses was to propose and test an FR procedure for detecting false respondents (who answer survey questions mindlessly) in online surveys. Design/methodology/approach: Statistical analyses of data from 9 online surveys with a total of 4224 respondents, and 3 offline surveys (a total of 3169 respondents), aimed to identify false respondents using 4 warning signs (WS) based on: (WS1) too short answering time, (WS2) attention check questions, (WS3) rating style that considers, among others, the number of “Don’t know”, (WS4) logical consistency test of the answers and self-reported engagement of respondents. Findings: The percentage of respondents flagged by any of 4 signs (strict criteria) ranged from 5.2% to 71% depending on the survey. With lenient criteria (allowing respondents to be flagged by one warning sign), the percentage of excluded respondents ranged from 0% to 45.9%. Respondents could be excluded from analyses locally (for a specific block of items) or globally. Research limitations/implications: The surveys used in the analyses in this paper were of high quality (designed to minimize the participation of false respondents), which means that the percentages of false respondents for surveys made available to all interested parties will be higher. The analyzed data included respondents with at least secondary education. Originality/value: The conducted analyses provide evidence for the necessity of cleaning data obtained in online surveys. The tested FR procedure proved to be useful. The utility of the FLEXMIX procedure for examining the logical consistency of respondents’ answers was also demonstrated.