Reviewerly/exHarmony huggingface dataset:
ELECTRO-ACOUSTIC SYSTEMS FOR THE NEW OPERA HOUSE IN OSLO

In this paper the requirements, design and some measurements of the sound reinforcement system for the main auditorium in the new opera house in Oslo is presented.The extensive variable acoustic system for adjusting the room for amplified performances and minimizing problems with disturbing echoes is presented.The reinforcement system has been designed for highest level of fidelity.This includes the possibility of preserving correct localisation of singers on stage by using a delayed matrix which is automatically controlled by a tracking system.Furthermore, almost all of the loudspeakers are hidden which further increase the audience's belief in the "illusion" on stage.Additionally, the general paging and voice alarm system is shortly described.
ILLUSTRATION OF QA MEASURES FOR NOISE MAPPING SOFTWARE

After the first round of EU strategic noise mapping is finished and action plans based on these noise maps are being developed, it becomes clear that the approaches taken to ensure the quality of calculated results do differ between Member States.In Germany comparison with measurement is precluded and test case calculations are the preferred way.However, in other Member States the comparison with measured data is mandatory.Furthermore, statistical approaches to ensure quality of calculations have been developed and are in the process of standardisation.The present paper illustrates specific aspects of QA in noise mapping on the basis of the experience gained in past projects.
DELINEATING TARGETS IN SAR IMAGES BY PARALLEL SIMULATED ANNEALING

We propose a fast simulated annealing algorithm which combines a number of published techniques to improve on the convergence of a baseline approach.We discuss it in the context of more general genetic algorithms, and apply it to the problem of identifying the boundary of a target using a regionbased active contour model. Index Terms-delineation
Pengaruh Media Pembelajaran dan Motivasi Belajar Terhadap Hasil Belajar Mata Pelajaran Ekonomi Siswa MAN 2 Pesisir Selatan

The objective of this research is to determine the influence of learning media and learning motivation on the learning outcomes of economics subject among students at MAN 2 Pesisir Selatan. Additionally, the study aims to examine the combined effect of learning media and learning motivation on the learning outcomes of economics subject among students at MAN 2 Pesisir Selatan. The research will be conducted in two stages. The first stage involves a preliminary survey to gather data on the population size and sample to be surveyed. In the second stage, the instrument will be piloted, followed by data collection. The chosen research design is descriptive quantitative. Descriptive research aims to present factual and comprehensive characteristics of the population in a systematic manner. The research will utilize experimental method and random sampling to select a sample of 120 students from the entire population of MAN 2 Pesisir Selatan. Data collection will take place in May 2023 using class questionnaires and direct experiments. The results of this study indicate that learning outcomes are influenced by learning media, as indicated by the F-value = 0.000 &lt; 0.05. Further testing of the learning media is shown by the t-value = 0.000 &lt; 0.05. This confirms that the learning outcomes of the economics subject improve when measured against explanatory media. The learning outcomes of the economics subject are influenced by learning motivation, as indicated by the F-value = 0.000 &lt; 0.05. Further motivation tests also show a t-value = 0.000 &lt; 0.05.
AEROMAGNETIC INVESTIGATION OF THE BANDED IRON FORMATIONS OF UM NAR AREA, CENTRAL EASTERN DESERT, EGYPT

Wadi Um Nar area acquired its importance since the discovery of banded iron formations (BIFs), and is one of the largest iron formation occurrences in the Eastern Desert of Egypt. Therefore, the recorded aeromagnetic data were processed, using a combination of edge enhancement filters, to identify major structures and recognize the lateral and vertical distribution of BIFs, as well as to determine the locations of buried magnetite ore bodies in this area. The obtained results from the application of these techniques revealed that the NW–SE, NE–SW and N–S directions are the common tectonic trends in the region. These trends could be faults or shear zones that have acted as good pathway or channels for hydrothermal fluids. Estimating the basement depth using source parameter imaging (SPI) showed that the BIFs depths varied from the surface down to about 450 m. Additionally, the orthogonal derivative maps of Wadi Um Nar BIFs showed an E–W trend, which corresponds exactly to the maximum magnetic intensity belt and their anomalies are characterized by a distinct dipole nature. These maps also revealed the extent and continuity of the main ore body of BIFs and showed that, they were mainly produced from magnetite mineral, formed in regions of structurally-controlled fluid flow.
End-to-End Simulation in the Design of Advanced AR / VR Headsets

Multiphysics, system-level simulation combining optical and mechanical design enables human vision analysis of what end users will see when wearing an AR / VR headset and is critical to developing advanced headsets at scale.
Shaping the Future of Augmented and Virtual Reality

In the 1960s, Ivan Sutherland’s “Sword of Damocles” inspired generations to create the future of augmented and virtual reality. Today’s rapid advancement of optics and photonics is poised to disrupt the way we experience the world around us.
Literature Review as Research Methodology: Aid of Ai (Artificial Intelligence)

Artificial Intelligence inaugurates to transfigure traditional research practices in many areas. The fusion of AI tools in the research process can strengthen adeptness, accuracy, and depth in reviewing existing literature. This paper inspects the involved landscape of the operating literature review, indicating the benefits, challenges, and righteous considerations confederated with using AI in this context. By delving into case studies and examining trends, this review aims to offer researchers and academicians a comprehensive understanding of how AI can be employed as a valuable tool in literature review procedures. This exploration seeks to illuminate the harmony between traditional research methodologies and the innovative possibilities that AI offers. By illuminating the evolving role of artificial intelligence in research, this paper will provide a roadmap for researchers and scholars seeking to harness the benefits of AI as an essential element in their literature review methodology.
ANALYSIS OF CONTEXTUAL LEARNING APPLICATION IN THE DEVELOPING OF SHORT STORYTELLING WRITING ABILITY

Writing short stories is a skill that can help students become more creative and qualified to generate ideas, thoughts, and ideas, as indicated by using effective sentences and appropriate and precise language. This study is the goal of teaching students to write short tales. Students need to understand better how to create short stories if they learn how to write them. This study aims to (1) present pictures and explanations of instructors who apply the contextual approach in short story learning and (2) to identify the characteristics that determine the effectiveness of teachers who apply contextual approaches, particularly in the setting of short story learning. This study contextualizes short story learning for a single Indonesian language instructor at the ninth-grade level at SMP PGRI Cirus in Serang Regency, Banten. The data is gathered through careful observation, in-depth interviews, and meticulous analysis. In addition, qualitative descriptions were used to assess data collected from three different approaches. This study's findings suggest that (1) teachers who understand the stages involved in implementing the contextual approach to short story learning are more likely to have students who reach the KKM they set for themselves. And (2) students who reach the KKM more often have a more positive experience learning the stories. Teaching variables, student characteristics, facilities and infrastructure, and environmental elements impact teachers' ability to implement a contextual approach to learning short stories successfully
WORKSHOP ON MAKING FINANCIAL STATEMENTS TO INCREASE DATA INDEPENDENCE IN THE DIGITAL ERA FOR INDONESIAN MSMES

In developing Small and Medium Micro Enterprises (MSMEs) it is necessary to know the performance of its business in view of its business financial statements. The problem that exists today is that the majority of MSMEs in Indonesia do not make financial statements because of various things, namely busyness in trying and not knowing how to make financial statements. The results of interviews and surveys to 100 MSMEs in Indonesia in February are that almost all MSMEs do not know how to make basic or simple financial statements. So we as Pengabdi aim to provide knowledge of making simple financial statements by providing training and assistance in making digital financial statements with the help of Smartphones, due to the flexibility of time and place in its manufacture. The method provided by way of 1.Training in making simple financial statements for MSMEs, 2.Training and assistance in making android-based digital accounting in Smartphones. The results of the workshop of MSME participants who follow the spirit of practice and can make financial statements on their respective Smartphones
A META-ANALYSIS ON THE EFFECTS OF PROBLEM-BASED LEARNING IN ACCOUNTING LEARNING

This research focuses on the effect of Problem-Based Learning in accounting learning for students of SMK (Vocational High School), SMA (Senior High School), and University. In addition, this research also aims to analyze the magnitude of the effect and correlation of Problem-Based Learning on accounting learning based on education, the type of research, and the dependent variable. This research analyzed 24 research articles based on the magnitude of effect. There was 1 article with a small impact, nine articles with a medium result, and 14 articles with a significant impact
Distance education in the context of current socio-cultural transformations and globalization of the educational space

The article is devoted to systematization and analysis of the existing scientific theory with the purpose of revealing interconnection of distance learning with current socio-cultural transformations and globalization of educational space. The study addresses main approaches to the interpretation of such concepts as globalization and internationalization in the context of educational reform. It also provides material explaining the demand for distance learning and its expansion in modern conditions.
FEATURES OF NORMATIVE CONSOLIDATION OF EDUCATIONAL WORK WITH CONVICTS TO PUNISHMENTS NOT RELATED TO ISOLATION FROM SOCIETY

The article discusses the issues of normative consolidation of educational work with convicted persons to punishments not related to isolation from society. The analysis of the norms of the Penal Enforcement Code of the Russian Federation, as well as by-laws regulating the execution of such punishments and the use of corrective measures to convicts is carried out. The author comes to the conclusion about the heterogeneity and unsystematization of the norms that reveal the essence of the line of work of employees executing criminal penalties under study. The expediency of conducting scientific research in this area and the importance of modernization of penal enforcement legislation are stated.
외국인 유학생을 위한 온라인 의사소통 교육 - 모바일 메신저 단체 대화방의 대화분석을 중심으로 -

With the development of wireless communication infrastructure and smartphones, mobile-messenger-oriented communication has become a crucial communication method for foreign students. Nowadays, most of the group projects in college classes are done through online communication. Group projects with joint research tasks are a considerable burden on students because they have to communicate with others and coordinate opinions to achieve a certain purpose. In particular, group projects with joint research tasks(so-called team-pls) in undergraduate classes tend to be carried out only online. In the case of large-scale lectures, it is often necessary to communicate only online and work with other team members without knowing each other''s faces. In these situations, students need to acquire fluent non-verbal communication skills as well as fluent verbal communication skills. In addition, social and cultural factors such as culture, customs, psychology, personality and motivation are also closely involved. Therefore, online communication training requires a delicate approach that takes various aspects into account.This study started with the awareness of this issue and sought to examine how foreign undergraduates in Korea communicate online and to find educational implications. First, I examined the characteristics of these chat rooms through the analysis of academic group chat conversations, meta-talk analysis and the analysis of learner error cases. In addition, this study found educational implications for foreign undergraduates from a communication perspective and suggested them separately in two aspects: linguistic and extralinguistic. In order to ensure that the learners'' individual communication behaviors comply with socio-cultural language customs while creating new meanings according to the context of the situation, is crucial. In order for foreign students to perform their studies successfully, education on online communication as well as offline communication needs to be systematically conducted.
Quantum Key Distribution Protocols

This book offers an accessible and engaging introduction to quantum cryptography, assuming no prior knowledge in quantum computing. Essential background theory and mathematical techniques are introduced and applied in the analysis and design of quantum cryptographic protocols. The title explores several important applications such as quantum key distribution, quantum money, and delegated quantum computation, while also serving as a self-contained introduction to the field of quantum computing. With frequent illustrations and simple examples relevant to quantum cryptography, this title focuses on building intuition and challenges readers to understand the basis of cryptographic security. Frequent worked examples and mid-chapter exercises allow readers to extend their understanding, and in-text quizzes, end-of-chapter homework problems, and recommended further reading reinforce and broaden understanding. Online resources available to instructors include interactive computational problems in Julia, videos, lecture slides, and a fully worked solutions manual.
The Spurious Path Problem in Abstraction

Abstraction is a powerful technique in search and planning. A fundamental problem of abstraction is that it can create spurious paths, i.e., abstract paths that do not correspond to valid concrete paths. In this paper, we define spurious paths as a generalization of spurious states. We show that spurious paths can be categorized into two types: state-independent spurious paths and state-specific spurious paths. We present a practical method that eliminates state-independent spurious paths, as well as state-specific spurious paths when integrated with mutex detection methods. We provide syntactical conditions under which our method can remove state-independent spurious paths completely. We demonstrate that eliminating spurious paths can improve a heuristic substantially, even in abstract spaces that are free of spurious states.
Multi-Level Evolution of Shooter Levels

This paper introduces a search-based generative process for first person shooter levels. Genetic algorithms evolve the level's architecture and the placement of powerups and player spawnpoints, generating levels with one floor or two floors. The evaluation of generated levels combines metrics collected from simulations of artificial agents competing in the level and theory-based heuristics targeting general level design patterns. Both simulation-based and theory-driven evaluations target player balance and exploration, while resulting levels emergently exhibit several popular design patters of shooter levels.
Effects of computer animation instructional package on students’ achievement in practical biology

This study examined the effects of computer animation instructional package on secondary school students’ achievement in practical biology in Ilorin, Nigeria. The study adopted a pre-test, post-test, control group, non-randomised and nonequivalent quasi-experimental design, with a 2x2x3 factorial design. Two intact classes from two secondary schools were purposively sampled. The instruments used were Biology Practical Achievement Test (BPAT) for data gathering and Computer Animation Instructional Package (CAIP) as the treatment instrument. The reliability coefficient of BPAT was determined using the Pearson Product Moment Correlation and was found to be 0.91. Two research questions and two hypotheses were formulated in the study. The hypotheses were tested with t-test statistics at a significance level of 0.05. The study concluded that CAIP significantly improved students' achievement in practical biology. The researchers recommend that biology teachers should employ computer animation instructional packages to teach the practical aspects of photosynthesis among other biology topics. Keywords: Achievement, computer animation, practical biology, secondary schoo
Scholarly work in the Internet age: Co-evolving technologies, institutions and workflows

This study explores how ICTs and the Internet are influencing, and being influenced by, the evolution of institutions, organizations and workflows that play a role in scholarly work. Based on a literature review and a structured analysis of 8 carefully selected web sites, this study explores: (i) the evolving business models of scientific journals; (ii) the new competitive dynamics triggered by open access and article-level metrics; (iii) the traditional and emerging forms of peer review; and (iv) the emerging ICT-enabled changes in research workflows. The findings depict a highly complex and dynamic scenario, in which different scholarly communities, with their respective institutional and organizational environments, are experimenting different ICT-based arrangements and solutions, which are dramatically widening the range of possible activity systems through which scientific knowledge is created, exchanged, evaluated and leveraged.
BitMapper2: A GPU-Accelerated All-Mapper Based on the Sparse<i>q</i>-Gram Index

The explosive growth of next-generation sequencing (NGS) read datasets drives a need for new faster read mappers. One class of read mappers, called all-mappers, is designed to identify all mapping locations of each read. Many all-mappers have been developed over the past few years, but they are either time-consuming or memory-consuming. Here, we present BitMapper2, a GPU-accelerated read mapper that reports all mapping locations of NGS reads. To make full use of the parallel processing capability of GPUs, BitMapper2 proposes the sparse q-gram index, which reduces the memory requirement and the data transfer time between GPU and CPU. We also design the filtration part and the verification part of BitMapper2 specifically for the architecture of GPU. In addition, BitMapper2 is still time-efficient and memory-efficient even if there is no GPU available. Experiments show that BitMapper2 was significantly faster than the state-of-the-art all-mappers, while requiring less space.
Efficient Greedy Coordinate Descent for Composite Problems

Coordinate descent with random coordinate selection is the current state of the art for many large scale optimization problems.However, greedy selection of the steepest coordinate on smooth problems can yield convergence rates independent of the dimension $n$, requiring $n$ times fewer iterations.In this paper, we consider greedy updates that are based on subgradients for a class of non-smooth composite problems, including $L1$-regularized problems, SVMs and related applications. For these problems we provide (i) the first linear rates of convergence independent of $n$, and show that our greedy update rule provides speedups similar to those obtained in the smooth case. This was previously conjectured to be true for a stronger greedy coordinate selection strategy.Furthermore, we show that (ii) our new selection rule can be mapped to instances of maximum inner product search, allowing to leverage standard nearest neighbor algorithms to speed up the implementation.We demonstrate the validity of the approach through extensive numerical experiments.
Synthesised bigrams using word embeddings for code-switched ASR of four South African language pairs

Code-switching is the phenomenon whereby multilingual speakers spontaneously alternate between more than one language during discourse and is widespread in multilingual societies. Current state-of-the-art automatic speech recognition (ASR) systems are optimised for monolingual speech, but performance degrades severely when presented with multiple languages. We address ASR of speech containing switches between English and four South African Bantu languages. No comparable study on code-switched speech for these languages has been conducted before and consequently no directly applicable benchmarks exist. A new and unique corpus containing 14.3 hours of spontaneous speech extracted from South African soap operas was used to perform our study. The varied nature of the code-switching in this data presents many challenges to ASR. We focus specifically on how the language model can be improved to better model bilingual language switches for English-isiZulu, English-isiXhosa, English-Setswana and English-Sesotho. Code-switching examples in the corpus transcriptions were extremely sparse, with the majority of code-switched bigrams occurring only once. Furthermore, differences in language typology between English and the Bantu languages and among the Bantu languages themselves contribute further challenges. We propose a new method using word embeddings trained on text data that is both out-of-domain and monolingual for the synthesis of artificial bilingual code-switched bigrams to augment the sparse language modelling training data. This technique has the particular advantage of not requiring any additional training data that includes code-switching. We show that the proposed approach is able to synthesise valid code-switched bigrams not seen in the training set. We also show that, by augmenting the training set with these bigrams, we are able to achieve notable reductions for all language pairs in the overall perplexity and particularly substantial reductions in the perplexity calculated across a language switch boundary (between 5 and 31%). We demonstrate that the proposed approach is able to reduce the unseen code-switched bigram types in the test sets by up to 20.5%. Finally, we show that the augmented language models achieve reductions in the word error rate for three of the four language pairs considered. The gains were larger for language pairs with disjunctive orthography than for those with conjunctive orthography. We conclude that the augmentation of language model training data with code-switched bigrams synthesised using word embeddings trained on out-of-domain monolingual text is a viable means of improving the performance of ASR for code-switched speech.