Reviewerly/exHarmony huggingface dataset:
Automated Multi-Modal Pipeline for Generating Football Game Summaries

&lt;p&gt;The project involves generation of football game summaries from multiple game modalities that includes game audio, metadata and captions. Three different types of summaries will be generated from three modalities so as to capture maximum amount of information involved within the game. &lt;/p&gt;
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms

&lt;p&gt;Object detection in 3D is a crucial aspect in the context of autonomous vehicles and drones. However, prototyping detection algorithms is time-consuming and costly in terms of energy and environmental impact. To address these challenges, one can check the effectiveness of different models by training on a subset of the original training set. In this paper, we present a comparison of three algorithms for selecting such a subset - random sampling, random per class sampling, and our proposed MONSPeC (Maximum Object Number Sampling per Class). We provide empirical evidence for the superior effectiveness of random per class sampling and MONSPeC over basic random sampling. By replacing random sampling with one of the more efficient algorithms, the results obtained on the subset are more likely to transfer to the results on the entire dataset. The code is available at: https://github.com/vision-agh/monspec.&lt;/p&gt;
Augmented Reality in Advertising: An Exploratory Study

The foreseeable future shows unprecedented growth for augmented reality (AR) technology in marketing. Previous literature showed mixed findings regarding the effectiveness of using augmented reality in marketing. This study provides evidence of the positive effect of AR from a brand-new standpoint of advertising and marketing professionals. The authors employed in-depth interviews to uncover and explain the phenomenon of using AR in marketing. The study found that despite hurdles and challenges, advertisers have a positive attitude toward AR, and ad agencies are likely to adopt AR in future marketing campaigns. The study sheds light on the attitude of advertisers towards the use of AR in marketing, and their anticipated outcomes. The findings provide guidance for brands and firms when making marketing decisions to utilize AR technology.
Factors Influencing The Attitudes Of Secondary School Students Towards The Study Of Mathematics.

It is a known fact that there exist behavioral difficulties among Mathematics students in Estiwani as a result of unresolved attitudinal issues that either the students are not aware of, or that the issues are not properly dealt with. This work seeks to investigate some factors influencing the attitude of secondary school students toward studying Mathematics in the Mazini region. Five schools consisting of two boys-only, two girls-only, and one mixed school were been carefully selected for the investigation. A total of 200 students and 15 qualified teachers were randomly and actively engaged. A combination of the discrete and continuous data collected through observations and using a well-designed questionnaire was carefully analyzed from their graphical representations. It was found that the majority of the students showed a huge gap in the content knowledge and also presented a clear negative attitude towards Mathematics as a subject. Some of the factors responsible for this worrying pattern, as shown by the analysis include poor background from their primary schools, ineffective teaching methods by their teachers, and lack of motivation by their parents among others. Training programs for teachers particularly on the use of technology and teaching aids to better disseminate the contents and the rewards were also highlighted
VOICE - A DIGITAL OPEN EDUCATIONAL PLATFORM FOR SUPPORTING TEACHERS’ PROFESSIONAL LEARNING: DESIGN AND EVALUATION

VOICE - A DIGITAL OPEN EDUCATIONAL PLATFORM FOR SUPPORTING TEACHERS’ PROFESSIONAL LEARNING: DESIGN AND EVALUATION
Corpus Linguistics on the Impression Management Strategy of Indonesian Public Officials after Covid-19 Denial Statements

With the Covid-19 pandemic, public officials in Indonesia were prone to making inaccurate claims and to enacting policies that the public might have overlooked due to a lack of understanding of complex situations. However, after making these mistakes, public officials needed to restore their reputation and create a positive impression. This study aimed to investigate the impression management strategies employed by Indonesian public officials following such incidents. The researchers analysed a dataset of 2,000 Instagram captions from seven public officials over the course of a year, totalling 13,725 words and 196,154 tokens, using corpus linguistic techniques such as frequent words and keyword lists. The findings revealed that officials used different strategies such as ingratiation, self-promotion and supplication to manage their impression, and that positive attitudes and hard work were the main tools used by officials to improve their public image.
DEVELOPMENT AND EVALUATION OF PROFESSIONAL SKILLS ASSOCIATED WITH THE BASIC DOCUMENTS ON ENERGY SAVING AND HEALTH OF THE TECHNICAL BUILDING CODE ON THE SUBJECT “BASIC MECHANICAL INSTALLATIONS”

DEVELOPMENT AND EVALUATION OF PROFESSIONAL SKILLS ASSOCIATED WITH THE BASIC DOCUMENTS ON ENERGY SAVING AND HEALTH OF THE TECHNICAL BUILDING CODE ON THE SUBJECT “BASIC MECHANICAL INSTALLATIONS”
COMPETENCY-BASED LEARNING AND ITS APPLICATION TO TEACHING THE FUNDAMENTALS OF ENGINEERING DESIGN

Appears in: EDULEARN23 Proceedings Publication year: 2023Pages: 3592-3597ISBN: 978-84-09-52151-7ISSN: 2340-1117doi: 10.21125/edulearn.2023.0973Conference name: 15th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2023Location: Palma, Spain
Efficient Automatic Modulation Classification for Next Generation Wireless Networks

&lt;p&gt;This paper introduces a novel automatic modulation classification (AMC) algorithm for wireless communication systems. With the advent of sixth-generation (6G) networks, the demand for high-accuracy and computationally-efficient AMC algorithms has become increasingly pressing. In response to this need, we propose a new model called the threshold denoise recurrent neural network (TDRNN). The TDRNN combines a threshold denoise (TD) module and a recurrent neural network (RNN) module to achieve high accuracy and fast computation times. The TD module reduces the received signal's noise level, while the RNN module performs the modulation classification on the denoised signal. The proposed TDRNN algorithm is evaluated on various modulation schemes and signal-to-noise ratios (SNR). The experimental results demonstrate that the TDRNN algorithm outperforms existing methods in terms of accuracy, speed, and computational complexity. The TDRNN algorithm is suitable for adaptive coding and modulation in 6G wireless communication systems.&lt;/p&gt;
INSTAGRAM IS A RELIABLE LEARNING TOOL FOR INCREASING STUDENTS’ COMPETENCIES IN USING APA GUIDELINES

S. Collado1R. Rodríguez-Rey2C. Fidalgo1M. Sorrel3M. Sánchez-Izquierdo2E. Santaolalla2H. Garrido-Hernansaiz4
Scalable and Resilient 360-degree-Video Adaptive Streaming over HTTP/2 against Sudden Network Drops

&lt;p&gt;Realistic Virtual Reality is supported by 360° video, which provides viewers with an immersive watching experience. However, 360° video is bulky in size, while the transmission system has limited ability to provide bandwidth. As such, intelligent adaptive delivery solutions play a crucial role in enabling users to stream high-quality 360° video. In this research, we propose a novel approach for 360-degree video streaming over HTTP/2 that can provide consumers with a good watching experience (QoE) even in varying network circumstances and head-eye movements over time. The proposed method deploys the so-called BBAG algorithm (Buffer and Bandwidth Allocation Algorithm) using Scalable Video Coding to choose appropriate tile layers to resolve the trade-off between network and user adaptivity. With the support of HTTP/2's stream termination capability, the delivery of late tile layers is terminated to handle abrupt interruptions. BBAG is proven to improve QoE from 3.56% to 93.71% and the average viewport bitrate from 1.78% to 80.49% compared to state-of-the-art methods.&lt;/p&gt;
Breast Cancer Detection Technique using Machine Learning Classifiers

&lt;p&gt;Breast Cancer Detection Technique.&lt;/p&gt;
The power of mass media in literature development in Indonesia

This study aims to reveal how the mass media has a very large role to develop literature in Indonesia. This is important to mention considering that literature is one of the signs of a nation's civilization, therefore support from various directions for developing literature is very meaningful. With this research, it is hoped that the world of Indonesian literature can further develop in the future, especially through the role of the mass media. This research was conducted using a qualitative approach, the data was collected through interviews and a comprehensive review of documents. The data obtained is then reduced and compiled into a scientifically justifiable research report. The results of this study show that the contribution of the mass media is very large in the development of literature in Indonesia. Literature in Indonesia has an important role in the national identity as an international exchange. Literature can be called the nation, language, and literature which has become the glue between a country
Kajian Ergonomi Pada Display Statis (Penunjuk Informasi) di Perpustakaan Universitas Bina Darma

The purpose of this study to find out what forms of static displays (information pointers) are provided by the Bina Darma University Library which are then studied in terms of ergonomics based on the value of comfort, beauty, and usefulness. The type of research used descriptive qualitative research. Determination of informants is determined based on non-probability techniques, namely by using purposive sampling. The informants selected were one person in the library staff, namely the librarian. The data collection technique through interviews which are then processed so that they can find conclusions/verification results. The results obtained are static displays in the Bina Darma University Library, namely Warning Displays, working hours, library labels, instructions for using turnitin, instructions on collections, suggestion box labels, and instructions for opening doors. The static display in the Bina Darma University library is still minimal. This is due to the lack of information related to library rules, organizational structures and so on, making users confused and preferring to ask the librarian
The Application of Storytelling Technique in Improving Students’ Speaking Skill

This research aims to explore the application of storytelling techniques in improving students' speaking skills in Class 7.1 MTsN 2 Boalemo. The population of the research comprised four classes of first-grade students at MTsN 2 Boalemo, with approximately 22 students in each class, totaling 48 students. The researcher chose the students from class 7.1, which consisted of 22 students. Data collection involves the use of the Wilcoxon Test Concept while descriptive analysis with quantitative methods is used to analyze the data. The research findings indicate a significant improvement in students' speaking skills after being taught using storytelling techniques. The statistical analysis shows that there is a significant average difference between the learning outcomes of the pre-test and post-test in terms of vocabulary, pronunciation, and fluency. The values of Sig. (2-tailed) for all three tests are 0.000, which is less than the significance level of 0.05. This indicates that the hypotheses H1, H2, and H3 are accepted, and it can be concluded that there is a noticeable improvement in students' vocabulary, pronunciation, and fluency from before to after the intervention. The research concludes that storytelling is an effective technique for improving students' speaking skills and increasing their interest in learning English and based on these findings, it is recommended that English teachers utilize storytelling techniques to enhance students' speaking skills and foster their confidence in public speaking. This research can serve as a valuable reference for other researchers interested in exploring similar topics or different aspects related to the use of storytelling in language learning. Keywords: storytelling, speaking skills, language learning
Kiat Penelitian Dengan Model Pendekatan Telaah Kepustakaan

Each study has different characteristics, so the stages and processes involved in conducting library research may vary depending on the objectives and research problems. So this paper aims to provide an overview as a basic guideline that can be used in conducting library research in the field of education in conducting further research. Library research is a research method that uses sources found in libraries, such as books, journals, articles, and other documents, to collect data and information needed in a study. This literature research is usually done as a first step in research and can be used to determine the background, understand the context, and find ideas for further research. The main strategies and components in using literature research with tips that can help in carrying out effective and efficient literature research are First, clearly identify the problem and research objectives. Second, search for relevant and trusted resources such as books, journals, articles, etc. Third, Analysis, evaluation, and selection of found resources to determine their validity and feasibility, Fourth, Organization and records of research results to facilitate the integration of information and Fifth, Integration of research results and preparation of systematic and logical reports.
Leveraging Marine Predators Algorithm with Deep Learning Object Detection for Accurate and Efficient Detection of Pedestrians

Abstract Pedestrian detection using object detection and deep learning has been found to be effective method for identifying pedestrians in video frames or images accurately. It is more commonly used in many real-time applications, such as security observing systems, autonomous driving systems, and robotics. The combination of deep learning techniques and object detection algorithms allows efficient and robust detection of pedestrians in several real-time scenarios. But it is necessary to improve the detection efficacy for complex environments such as cases with worse visibility due to weather or daytime, crowd scenes, and rare pose samples. Continuous improvement and research in DL algorithms, dataset collection, and training models contribute to accelerating the robustness and accuracy of pedestrian detection systems. Therefore, this study designs a new marine predator algorithm with deep learning-based pedestrian detection and classification (MPADLB-PDC) technique. The objective of the MPADLB-PDC approach lies in the accurate recognition and classification of pedestrians. To achieve this, the MPADLB-PDC technique involves two major processes, namely object detection and classification. In the first stage, the MPADLBPDC technique uses an improved YOLOv7 object detector for the recognition of the objects in the frame. Next, in the second stage, the ensemble classifier comprises three classifiers such as deep feed-forward neural network (DFFNN), extreme learning machine (ELM), and long short-term memory (LSTM). To improve the recognition performance of the ensemble classifier, the MPA is used to optimally select the parameters related to it. The simulation outcome of the MPADLB-PDC system was validated on the pedestrian database, and the outcome can be studied interms of various aspects. The simulation values validated the better outcome of the MPADLB-PDC system compared to other approaches.
Two-level type theory and applications - ERRATUM

Abstract We define and develop two-level type theory (2LTT), a version of Martin-Löf type theory which combines two different type theories. We refer to them as the ‘inner’ and the ‘outer’ type theory. In our case of interest, the inner theory is homotopy type theory (HoTT) which may include univalent universes and higher inductive types. The outer theory is a traditional form of type theory validating uniqueness of identity proofs (UIP). One point of view on it is as internalised meta-theory of the inner type theory. There are two motivations for 2LTT. Firstly, there are certain results about HoTT which are of meta-theoretic nature, such as the statement that semisimplicial types up to level n can be constructed in HoTT for any externally fixed natural number n . Such results cannot be expressed in HoTT itself, but they can be formalised and proved in 2LTT, where n will be a variable in the outer theory. This point of view is inspired by observations about conservativity of presheaf models. Secondly, 2LTT is a framework which is suitable for formulating additional axioms that one might want to add to HoTT. This idea is heavily inspired by Voevodsky’s Homotopy Type System (HTS), which constitutes one specific instance of a 2LTT. HTS has an axiom ensuring that the type of natural numbers behaves like the external natural numbers, which allows the construction of a universe of semisimplicial types. In 2LTT, this axiom can be assumed by postulating that the inner and outer natural numbers types are isomorphic. After defining 2LTT, we set up a collection of tools with the goal of making 2LTT a convenient language for future developments. As a first such application, we develop the theory of Reedy fibrant diagrams in the style of Shulman. Continuing this line of thought, we suggest a definition of $(\infty,1)$ - category and give some examples.
Upaya Meningkatkan Hasil Belajar Perkalian melalui Media PKP2 (Papan Kantong Pintar Perkalian) Kelas II SDN 3 Sepatan

Education is the main factor for forming the potential of a knowledgeable and civilized human being. Because, education is a process to form someone who can be formed into a human being who has knowledge, the role of education is also very important for someone to hone the skills and abilities of students to be able to solve their own problems. In carrying out education, learning media is also needed with the aim of being able to make it easier for students to understand the material taught by the teacher. From this understanding, it can be said that teaching material without preparing methods and media will not be appropriate and teaching and learning activities will not run effectively and efficiently so that the material that will be conveyed by the teacher to students will not be absorbed optimally. This multiplication PKP2 media is a media that is deliberately made to give a different nuance when the teaching and learning process takes place, in this media it also aims to make students enthusiastic when receiving multiplication lessons. Actually this media can be used for other subjects as well, so this smart pocket media is not only used for Indonesian lessons but can also be used for other lessons.
Efek Homogenisasi Spesimen Darah Metode Inversi Terhadap Nilai Hematokrit

Laboratory examination consists of three stages, namely pre-analytical, analytical, and post-analytic. The biggest error occurred in the pre-analytical stage, which was around 61%. Homogenization including the pre-analytical stage is the process of mixing blood and anticoagulants which are included in the pre-analytical stage. Homogenization has two ways namely manual and automatic. Inadequate homogenization can cause clots or rupture of erythrocytes/lysis and shrinkage of erythrocytes, leading to a falsely low hematocrit value. The study aimed to find out and analyze differences in hematocrit values by homogenizing the inversion method 2, 4, and 10 times. This type of research is observational analytic. The research was carried out in June - August 2021 at the Clinical Laboratory of Muhammadiyah University of Palangkaraya. The research sample consisted of 9 EDTA blood from 9 people according to the inclusion criteria. All samples were examined for hematocrit using a Hematology Analyzer Sysmex XP-300. The results showed that the average hematocrit value in 2 times inversion homogenization was 38.40%, 4 times homogenization was 38.78%, and 10 times homogenization was 39.14%. The conclusion of this study was that there was no significant effect of the inversion homogenization technique 2, 4, and 10 times on the hematocrit value (p=0.584 > 0.05).
Stabilitas Whole Blood Control Tiga Level Yang Disimpan Pada Suhu 2-8oC Menggunakan Alat Hematology Analyzer

Quality assurance is important to ensure that the quality system runs properly and guarantees the results of laboratory tests, one of which is the inspection of control materials. The control material requirement is to have long stability, blood-like characteristics and low price. From these conditions, commercial control materials have a longer stability than fresh blood but are expensive. In practice, commercial control materials are still used even after the expiry date of the materials has passed. This is because the availability of materials is often delayed, the procurement of materials takes a long time and the price is relatively expensive. Therefore, this study aims to determine the stability of commercial whole blood control stored at 2-8oC. This research is an experimental analytic study with a cross sectional research design. The sample in this study was commercial whole blood control with 3 levels, namely normal, low abnormally and abnormally high levels which were stored at 2-8oC and checked every week for 10 weeks. Based on the test results obtained p-value for each parameter at all levels on the parameters of the number of erythrocytes, leukocyte count, hematocrit, hemoglobin and platelet count. Based on the results, it can be concluded that there is no change in the stability of whole blood control with storage for 10 weeks at a temperature of 2-8oC on the parameters of abnormally low and normal leukocyte count levels, abnormally low and abnormally high hematocrit levels, and all levels on the parameters of leukocyte count, hemoglobin and platelet count. Meanwhile, in the normal level of hematocrit parameters and abnormally high leukocyte count, there is a change in stability.
Zonation of Flood-Prone Areas Based on Remote Sensing Data and Hydrodynamic Models

Many watersheds in Manokwari are classified as flood-prone areas with a frequency of more than 1 flood per year. Limited rain stations and climate stations make it difficult to the zoning of flood-prone areas. This study aims to utilize remote sensing data and hydrodynamic models to zone flood-prone areas in watersheds (DAS). The research was conducted in the Wosi Watershed - Manokwari Regency - West Papua Province. The data used in this research is DEMNAS topographic data, Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data acquired 1996 – 2020, Sentinel 2 imagery acquired 21 September 2020, and river maps. The peak flow in the Wosi watershed was analyzed using rational methods and flood hazard zoning was analyzed using HEC-RAS. The research showed that the Wosi River was not able to accommodate the peak flow at various return periods, consequently, the Wosi River had the potential for flooding every year. The results of this study are relevant to actual events, therefore remote sensing data and hydrodynamic models can be used to analyze peak flow and flood hazard zoning.Keywords: Climate Hazards Group Infrared Precipitation with Stations, DEMNAS, HEC-RAS, Satellite Imagery, Sentinel 2.