Reviewerly/exHarmony huggingface dataset:
WBIC and Its Application to Machine Learning

In this chapter, we examine the value of the real log canonical threshold $$\lambda $$ . First, assuming a known value of $$\lambda $$ , we evaluate the WBIC values for each $$\beta > 0$$ . Then, we determine the value of $$\lambda $$ from the WBIC values obtained for different $$\beta > 0$$ . The value of $$\lambda $$ is generally below d/2, and in the regular case, it is equal to d/2. We prove this result. However, there are few statistical models in which the value of $$\lambda $$ is known in advance. In this chapter, we analytically derive the value of $$\lambda $$ for the so-called low-rank regression, which approximates a three-layer neural network with a linear model (the proof is provided in the appendix at the end of the chapter). Furthermore, we demonstrate a method to experimentally determine the same $$\lambda $$ and compare it with the theoretical value. Next, we introduce a method to compare the WBIC values for Gaussian mixture models and select an appropriate model. Finally, we analytically determine the value of $$\lambda $$ when applying Jeffreys’ prior, known as the uninformative prior.
Regular Statistical Models

In this chapter, we discuss the situation where the true distribution has a regular relationship with the statistical model. We will explain the traditional approach before the emergence of Watanabe’s Bayesian theory. Being regular, $$\Theta _*$$ contains a single element $$\theta _*$$ . In Watanabe’s Bayesian theory, this is divided into $$\Theta $$ within a Euclidean distance of $$\epsilon _n=n^{-1/4}$$ (where n is the sample size) from $$\theta _*$$ and everything else. For the latter, we apply the discussion without assuming regularity. In other words, the generalization proposed by Watanabe’s Bayesian theory applies only to the former.
Cryptanalysis of SQL JOIN in Encrypted Databases Under Varying Leakage Profiles

Our work presents new leakage abuse attacks (LAA) which address the Double-Column Full-Information (DF) problem using graph matching, and the Double-Column Incomplete-Information (DI) problem using graph matching and data partitioning. We implemented the attack using Python, and analysed its effectiveness on synthetic data. In doing so, we make use of different distributions (such as uniform, linear, and Zipfian) for partitioning in the DI case, and analyse the effectiveness of data recovery for both DF-LAA and DI-LAA.
Solution for Detecting Phishing Attacks

This paper presents a solution to mitigate real-world phishing attacks. By synergizing data structures, search algorithms, and open-source datasets, the solution precisely detects inputs resembling previous phishing attempts, enabling informed user decisions. Through rigorous testing, the solution attains high accuracy, outperforming existing technologies. Its real-time nature, facilitating dataset updates, curtails phishing success rates, fortifying digital security. This fosters a safer online milieu and underscores the need for proactive cyber defense against evolving threats.
Lightweight super-resolution model for complete model copyright protection

Deep learning based techniques are broadly used in various applications, which exhibit superior performance compared to traditional methods. One of the mainstream topics in computer vision is the image super-resolution task. In recent deep learning neural networks, the number of parameters in each convolution layer has increased along with more layers and feature maps, resulting in better image super-resolution performance. In today's era, numerous service providers offer super-resolution services to users, providing them with remarkable convenience. However, the availability of open-source super-resolution services exposes service providers to the risk of copyright infringement, as the complete model could be vulnerable to leakage. Therefore, safeguarding the copyright of the complete model is a non-trivial concern. To tackle this issue, this paper presents a lightweight model as a substitute for the original complete model in image super-resolution. This research has identified smaller networks that can deliver impressive performance, while protecting the original model's copyright. Finally, comprehensive experiments are conducted on multiple datasets to demonstrate the superiority of the proposed approach in generating super-resolution images even using lightweight neural networks.
Hypersonic vehicle trajectory prediction based on temporal convolutional network

Hypersonic glide vehicles (HGVs) have the characteristics of high mobility and penetration ability, which make trajectory prediction very complicated and bring great challenges to the defence system. Accurate prediction of the target&apos;s flight trajectory helps the defence system make correct interception decisions. In this paper, we propose an HGV trajectory prediction method based on temporal convolutional network (TCN). The input of the network is the six-dimensional characteristics of the aircraft, including the position, speed, ballistic inclination and course angle, and the output is the trajectory for some time in the future. In addition, we compare and analyse the prediction effect of long short-term memory network (LSTM) and temporal convolutional network. The results show that the TCN has better performance than LSTM in long-term prediction.
Pois: proprietà discorsive e interazionali di un marcatore discorsivo portoghese tradotto in italiano

"Pois: discursive and interactional properties of a Portuguese discourse marker translated into Italian. In this paper we intend to present the study of the Portuguese discursive marker pois to emphasise the various discursive and interactional possibilities. This discursive connector is included by Lopes e Carrilho (2020) among the explanatory discursive markers: the lexical element takes the form of an operator with anaphoric value that proposes the part of discourse that follows it as an explanation of the part of discourse that precedes it. Part of this semantic value is also found in the pois with an interactional function of response. This phenomenon could be explained by considering the process of semantic drift that sees the expansion of the discursive space of use of a lexical element. To present the various areas of use of the discursive marker pois, written and oral language data will be examined. In addition, a contrastive analysis with Italian will be proposed based on the possible translations that this discourse marker can have in this language in order to broaden the contrastive studies between the two Romance languages. Keywords: discourse markers; Portuguese, Italian; pois; linguistic interaction. "
Design and Evaluation using Technology Acceptance Model of an Architecture Conceptualization Framework System based on the ISO/IEC/IEEE 42020

Among the difficulties in developing software-intensive systems are the necessity of managing and controlling data that must be held for decades, as well as describing the needs and concerns of a variety of stakeholders. Therefore, one cannot neglect a good Software Engineering practice which is to develop software-intensive systems based on solid software architecture. However, the processes related to the software architecture of software-intensive systems are often considered only from a low level of abstraction. A recent architectural Standard, the ISO/IEC/IEEE 42020, defines 6 clauses for the architecture process, among them the Architecture Conceptual-ization process is the subject of this study. Considering that the ISO/IEC/IEEE 42020 has only recently been published, given the importance of establishing a well-defined software architecture, and considering the difficulties of understanding an architectural Standard, this work proposes a framework, and then the design and further evaluation of a web-based application to support soft-ware architects in using the activities and tasks of the Architecture Conceptualization clause based on the framework described. The ArchConcept was designed to address the high-level abstraction of the Standard ISO/IEC/IEEE 42020 and can be useful for software architects who want to follow ISO/IEC/IEEE 42020&amp;rsquo;s recommendation and achieve high-quality results in their work of software architecture conceptualization. A qualitative evaluation employing a questionnaire was carried out to obtain information about the perceptions of professionals regarding the ArchConcept, according to the Technology Acceptance Model (TAM). As ArchConcept is focused on activities of Archi-tecture Conceptualization, which is one of the early stages of a software project, the results found could be evidence of the short time dedicated to the initial phases of projects and their consequences.regarding the ArchConcept, according to the Technology Acceptance Model (TAM). As ArchConcept is focused on the early stages of the project (Architecture Conceptualization), the results found in this work could be evidence of the short time dedicated to the initial phase of projects and their consequences.
Analisis Image Processing pada Prasasti Teroksidasi Ayam Téas I

The Ayam Téas I inscription is one of the ancient inscriptions in Indonesia. Currently, the condition of the inscription has undergone natural degradation, causing the letters and the written message to become more difficult to read. Among the natural forms of degradation are corrosion and erosion. One method that can be used to address this problem is by utilizing image processing technology in the form of imageJ software. The analysis process involves capturing images using a camera and then processing the images using imageJ software. This software provides a mode that can remove unnecessary colors due to lighting, allowing some of the writings on the Ayam Téas I inscription to become more visible. Keywords: imageJ; prasasti; Ayam Téas I; histogram; grayscale
Kearifan Lokal Dalam Konservasi Sumber Mata Air Pada Situs Arkeologi di Kabupaten Dompu

The presence of spring in Dompu Regency is an asset for the sustainability of natural resources and cultural resources in the surrounding area. This study aims to determine the conservation efforts of springs in the Dompu site area based on local wisdom and its current impact. This research utilizes ecological, isotope, and hydrochemical approaches. Data was collected through field observations and water sampling at the Riwo Spring. The data were analyzed using ecological, isotope, and hydrochemical approaches to samples of water followed by qualitative descriptive analysis. Based on the results of isotope and hydrochemical studies on the Riwo spring, it showed that the spring has good water quality, which means it is still suitable for consumption and this spring is young, so the balance of the surrounding environment is very important to maintain. The sustainability of springs is sought by applying local wisdom, one of which is leka dana. Leka dana can be used to determine policies for environmental conservation policy, conservation of forest catchment areas, and sustainable springs in Dompu Regency. Based on the results of the isotope and hydrochemical study result, it is recommended that in Riwo Spring areas and the surrounding forest, which served as recharge areas, should not be cleared for plantations or settlements. These recharge areas should be preserved and if necessary reforested. Keywords: spring conservation, archeology, natural isotopes, hydrochemistry, local wisdom
Recognition of Safety Helmet Wearing Of Operator Local Ground Floor Unit 2 Suralaya PGU Based On Improved YOLOv3

PT. PLN Indonesia Power Suralaya Power Generation Unit requires its operators on the local ground floor to wear safety helmets to prevent head injuries while performing their tasks. Observation of workers wearing safety helmet must be ensured by the company to prevent head injury by operators. The Culture Transformation Program of K3 PT PLN Indonesia Power brings a new observation method to detect safety helmet wearing of operator local ground floor using real-time detection. YOLOv3 is an application which can be used to real-time detection helmet wearing of workers using the darknet53 algorithm based on YOLOv1 and YOLOv2 by using data images that have been collected. Based on YOLOv3 model, the improved version of YOLOv3 is proposed to improve accuracy and speed detection of safety helmet wearing by combining multi-scale detection training. Different YOLOv3 versions will be used to compare results of helmet recognition. The improved YOLOv3 show results 96.63% mAP50 and 725,711 milliseconds better than the other versions of YOLO to detect helmet safety. The experimental result show that the improved YOLOv3 have satisfying with the detection speed and accuracy of safety helmet wearing detection by operators at PT PLN Indonesia Power Suralaya Power Generation Unit.
Two-way asymmetrical communication mediating internal communication and employee engagement

This study investigated the relationship between employee engagement with internal communication factors in the context of a prominent e-commerce company in Malaysia. The study employed a quantitative data approach, utilising a simple random sampling method. Data collection was conducted through structured questionnaires were administered to 255 respondents representing various departments within the e-commerce company, including finance, sales and marketing, operations management, human resources, and IT. The study’s outcomes demonstrated a significantly positive relationship between communication climate and employee engagement, which is critical for retaining employee commitment. The study’s findings confirmed a positive relationship between organisation communication and employee engagement, which promotes engagement. However, two-way asymmetrical communication showed negative effects when analysed for the mediating role. These findings underscore the importance of effective internal communication in organisations, especially within the context of a leading e-commerce company. Additionally, they should be aware of the potential negative consequences of asymmetrical communication and strive for more balanced and ethical communication practices. This study contributes to the existing body of knowledge by bridging the gap in scientific research on the relationship between internal communication and employee engagement, particularly in the Malaysian context. By drawing on stakeholders’ and relationship management theories, this research provides valuable insights into the theoretical foundations of this relationship, confirming the relevance of these theories in the organisational setting.
Modern Wendat Lexicography: Using XML to Reflect the Grammar and Lexicon of an Iroquoian Language

ABSTRACT: Building dictionaries with tools and methods emerging from Eurocentric traditions has proved problematic for Indigenous languages. We are building a dictionary for Wendat, an Iroquoian language formerly known as Huron that is being reawakened in Wendake, Québec. There are twelve manuscript dictionaries and lexicons for Wendat, created by missionaries during the seventeenth and eighteenth centuries. We are encoding the manuscripts using a standard Text Encoding Initiative (TEI) schema. However, when we came to create and encode a modern reconstructed Wendat dictionary, we were overly constrained by Eurocentric structures and assumptions inherent to TEI. Building our own custom XML schema allows us to better reflect Wendat grammar, responding to community needs and our evolving understandings of the language. This article describes the development of this schema, based on analysis of the archival documentation and related languages. Through this discussion, we will exemplify the schema we built and address the points of friction between TEI and Wendat grammatical structures. Our custom schema enables us to elegantly and economically represent exactly what our analysis of the language reveals, capturing elements of the language such as event-verb consequentiality, conjugation class, and stems, while avoiding incompatible elements and assumptions.
NURSING STUDENTS' WRITING AND GRAMMAR SKILL: ANALYSIS DESCRIPTIVE TEXT ASSIGNMENT

The goal of this study was to ascertain how well higher-level nursing students could employ possessive adjectives in their descriptive papers. This approach to research is quantitative descriptive. The instrument used to gather the research data was a written test. The population of this study consisted of all second-graders enrolled in a bachelor's degree in nursing. The sample for this study consisted of 34 students from the A class semester. Purposive sampling was used to take the samples. 34 students were tested, and 22 (or 64.70%) received the very good category, 3 (8.80%) received the good category, and 4 (11.80%) received the medium category. There are 5 students, or 14.70%, who receive the less category, while no students receive the failed category. According to the study's findings, students at University of Bina Sehat PPNI Mojokerto scored an average of 85 on their ability to employ possessive adjectives in descriptive texts. This figure is derived from the scores of all students, which are divided by the total number of students that make up the study's sample. In conclusion, the University of Bina Sehat PPNI Mojokerto students' proficiency with possessive adjectives in composing descriptive writings is very high
THE INFLUENCE OF READING INTEREST ON LEARNING ACHIEVEMENT AT STUDENT

This study aims to determine the effect of reading interest on learning achievement in 4th semester students of the Faculty of Psychology at UIN Raden Fatah Palembang. This study used a survey method with purposive sampling of 30students.Data were collected using a reading interest questionnaire and student learning achievement scores. Data analysis was conducted using simple linear regression analysis. The results showed that reading interest has a significant influence on the learning achievement of students of the Faculty of Psychology at UIN Raden Fatah Palembang. The correlation value or relationship between the two variables, namely the independent variable (Reading Interest) and the dependent variable (Learning Achievement), which is indicated by the R value of 0.751. In addition, R Square has a value of 0.565. The significance value shows the F Count value of 36, 330 with a significance level of 0.000 &lt;0.05, which indicates that the effect of the independent variable on the dependent variable is 5.65%. The regression analysis results show that there is a positive relationship between reading interest and student learning achievement. The higher a person's reading interest, the higher their learning achievement. The implication of this study is that to improve students' learning achievement, it is necessary to increase their reading interest. This research can be a contribution to the development of higher education in Indonesia, especially in an effort to improve the quality of learning at the Faculty of Psychology at UIN Raden Fatah Palembang.
Peran Kecerdasan Buatan dalam Efisiensi Desain Bangunan

This research discusses the role of artificial intelligence (AI) in increasing the efficiency of architectural design. The use of AI in architecture has had a positive impact in terms of optimizing the creative process, fast data analysis and improving the overall quality of the design. This study analyzes various AI methods used in architectural design, as well as their results and impact on speed and accuracy in producing efficient designs. In conclusion, AI has great potential to change the paradigm in industrial architecture and bring significant efficiencies
Text Generation: Using Markov Model &amp; LSTM Networks to Generate Realistic Text

Abstract: Text generation plays a crucial role in various natural language processing applications, ranging from creative writing to chatbots. This research delves into the realm of text generation by exploring and comparing two distinct techniques: Markov models and Long Short-Term Memory (LSTM) networks. The study focuses on their ability to generate realistic text within specific styles or genres, providing valuable insights into their respective strengths and limitations. Markov models, rooted in probability theory, and LSTM networks, a type of recurrent neural network, represent contrasting approaches to text generation. The research employs these techniques on a carefully curated dataset, evaluating their performance based on coherence, style, and contextual relevance. The comparison aims to elucidate the nuanced differences in how these models capture dependencies within the data and their effectiveness in simulating authentic linguistic patterns. Through rigorous experimentation, this research investigates the intricacies of both Markov models and LSTM networks, shedding light on their individual contributions to the task of text generation. The examination extends beyond mere algorithmic efficacy, considering the impact of these techniques on the quality and diversity of the generated text. Additionally, the study explores the influence of hyperparameters, such as temperature in the context of LSTM networks, on the output's richness and variability.
PELATIHAN PRESENTASI DENGAN MEDIA APLIKASI MICROSOFT OFFICE POWERPOINT PADA SISWA KELAS 6 Di SD BARUNA BATUBULAN

The purpose of this service is to help convey information related to the introduction of the basics of presentations and their media to provide them with basic public speaking experience by making and carrying out simple interactive presentations that will be developed and used at the next level and even up to the world of work. One of the uses of technology in this digital era is the use of digital applications to assist presentation activities. One of the applications commonly used in today's circles is the Microsoft Office PowerPoint application. This application can be accessed via computers based on the Windows operating system and Apple Mac OS. In this service, we will introduce this application as an illustration of using the application to help with presentation activities. However, the level of confidence of elementary school students in speaking in public is low. Even though this skill is a mandatory stage that must be passed and will be useful for the future. From these problems, community service activities are carried out by providing basic knowledge of introduction to presentations and the basics of public speaking skills to increase students' confidence to speak in public. The implementation method used in this activity is (1) providing basic material in good and correct presentations, (2) introducing commonly used media, (3) providing opportunities and assistance in simple presentation practices. The result of this activity is an increase in students' basic knowledge and skills in presentations, so that students become more confident to be able to appear in public along with the possibility to improve their abilities to be better than before.
Implementasi Inventory Menggunakan Sistem ERP Ginee pada Toko Online Sembilan Nine Shop

Sembilan Nine Shop online shop is a baking material store that serves online purchases through several online merchants. Sembilan Nine Shop have many types and variants of products that for sale. In managing its inventory, the Sembilan Nine Shop online store does not yet use information technology. Currently for warehouse activities still use the method of managing and collecting inventory data in the warehouse manually. This causes the goods in the warehouse to have no categories in their storage and the stock is the difference between physical and online merchants. This is the reason for the need for an information system that can manage inventory in the Sembilan Nine Shop online store. In this study, the author uses the ERP life cycle system implementation method. It is hoped that with the implementation of the Ginee Inventory ERP system for the online store, Sembilan Nine Shop can better manage and record the goods in its warehouse.