Reviewerly/exHarmony huggingface dataset:
High-speed photon correlation monitoring of amplified quantum noise by chaos using deep-learning balanced homodyne detection

Precision experimental determination of photon correlation requires massive amounts of data and extensive measurement time. We present a technique to monitor second-order photon correlation g(2)(0) of amplified quantum noise based on wideband balanced homodyne detection and deep-learning acceleration. The quantum noise is effectively amplified by an injection of weak chaotic laser, and the g(2)(0) of the amplified quantum noise is measured with a real-time sample rate of 1.4 GHz. We also exploit a photon correlation convolutional neural network accelerating correlation data using a few quadrature fluctuations to perform a parallel processing of g(2)(0) for various chaos injection intensities and effective bandwidths. The deep-learning method accelerates the g(2)(0) experimental acquisition with a high accuracy, estimating 6107 sets of photon correlation data with a mean square error of 0.002 in 22 s and achieving a three orders of magnitude acceleration in the data acquisition time. This technique contributes to a high-speed and precision coherence evaluation of entropy source in secure communication and quantum imaging.
Contribution of Information Sharing to Supply Chain Performance in Developing Country: Empirical Evidence from Manufacturing Plants in Vietnam

Purpose: This study empirically investigates effect of information technology (IT) link on supply chain performance through information sharing, supplier development, and knowledge absorption from customers. Methodology/Approach: The data sample including 135 Vietnamese manufacturing plants was collected through a paper-based questionnaire survey. Statistical techniques such as correlation and regression analysis are applied for hypotheses testing. Findings: It was shown that supply chain performs better when focal firms invest in supplier development and knowledge absorption. Those activities are strengthened by developing IT link and information sharing with suppliers and by customers. Research Limitation/Implication: Sample size is relatively small due to limited time and resources; subjective measurement of constructs are limitations that can be addressed in future research. Originality/Value of paper: This paper fills the gap in literature related with application of supply chain information in developing countries. It indicated that IT links should be regarded as the platform for information sharing among supply chain partners which lead to higher supply chain performance.
Analysis of the Development of Computer Science and its Future Trend

Computer science is one of the most influential innovations of the last century, including data structures, computer and network design, modeling data and information processes, and artificial intelligence. With the development of computer science, more and more people begin to pay attention to the importance of computers. This paper tells the history of computer science, and introduces some frontier technology of computer science. Computers have greatly improved people's work and lifestyle, developed modern society, and become an indispensable part of people's lives. Computers have entered the era of artificial intelligence, which has a major impact on the development of human society.
Handwritten Digit Recognition Based on the MNIST Dataset under PyTorch

Thanks to advancements in machine learning and artificial intelligence techniques, computers can now practice on data and learn from it in a manner that is similar to how the human brain works. Handwritten character and number identification has been one of the most pressing and fascinating subjects in pattern recognition and image processing. One of the most urgent and intriguing topics in pattern recognition and picture processing has been the identification of handwritten characters and numbers. As a crucial part of artificial intelligence, handwritten digit identification technology provides a vast array of application possibilities. The data demonstrates that, even though handwritten numbers are simply created with a few straightforward strokes, the appearance of numbers is more variable due to the various writing styles of each person. In this study, a deep learning framework-based upgraded LeNet-5 convolutional neural network model is used to build a handwritten number recognition model in Python. Automatic recognition of handwritten numbers will become the standard recognition technique if it can be applied to a wide range of industries, including banking and accounting, and hence save human costs.
Association between Anemia and Severe Pneumonia among Children 6-59 Months Old in RSUD Wangaya, Denpasar: A Cross Sectional Study

&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt; Severe pneumonia dan anemia happened to many children under five years old. Anemia leads to hypercapnia and slowing down red blood cell maturation and facilitate ischaemic syndrome. In the other side, pneumonia may increase hepcidin that suppressed erythropoiesis, hence anemia could worsen pneumonia. The aim of this research is to find association of hemoglobin level and severe pneumonia under five years old.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt; Cross sectional study was done in medical record RSUD Wangaya Denpasar starting from May-August 2022. Data was taken from subject with severe and mild and moderate pneumonia age 6-59 months old that admitted to PICU and Kaswari ward from January 2020-June 2022. Variables processed in this study are gender, pneumonia severity, hemoglobin level, and length of stay&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Result:&lt;/strong&gt; This study admits 56 subjects that fulfilled inclusion and exclusion criteria. Boy and girls subjects are found equally (28 subjects equally in both groups). Severe pneumonia found in 18 (32.1%) subjects and 25 subjects (44.6%) has anemia. Length of stay for severe pneumonia is 4.83 ± 1.54 days. Hemoglobin level in severe pneumonia is 10.93±1,96 mg/dL and subjects with mild and moderate pneumonia is 11.69 ±1.41 mg/dL. The result of chi-square test between haemoglobin level and severe pneumonia is p= 0.26&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions:&lt;/strong&gt; This study shows that there is no correlation between hemoglobin level and severe pneumonia. Further study is needed since the correlation between them is still controversial.&lt;/p&gt;
Stakeholders’ Perceptions of Teaching and Technological Skills in EFL Vocabulary Instruction: Implications for Remote Learning

This study examines stakeholders' perceptions of teaching and technological skills in English as a foreign language (EFL) vocabulary instruction and how this relates to remote learning. This research included 280 participants from 30 public and private institutions of secondary and higher education in southern Ecuador. All participants volunteered and consented to contributing data for the study. The data collection process consisted of administering questionnaires based on a Likert scale and conducting structured interviews with teachers. The aim of these instruments was to collect participants' views on teaching and technological skills in EFL vocabulary instruction. The researchers adopted a mixed-method approach, with quantitative analysis of the questionnaire responses using descriptive statistics and qualitative analysis of interview data. The findings indicated that participants had positive perceptions of EFL vocabulary instruction in terms of teachers' classroom management, technological skills, technological resources, and teaching methods. However, some aspects, such as learning environments, teachers’ training, online classes, and the use of information and communication technologies (ICT), were perceived more positively in private institutions. The findings have implications for EFL vocabulary instruction, particularly in remote learning contexts, and can inform the development of appropriate classroom management, technological resources, and teacher training programs to enhance this aspect of the EFL teaching and learning process.
Mapping the Spectral and Mineralogical Variability of Lunar Breccia Meteorite NWA 13859 by VNIR Reflectance Spectroscopy

We provide the first visible near-infrared (VNIR) reflectance spectroscopy characterization of a sample from the lunar feldspathic breccia NWA 13859. The sample is a 2 mm thick slab with an approximate area of 35 ± 2 cm2. We characterized the spectroscopic variability by choosing and analyzing representative spots throughout the sample. Our results show a distinct spectral contribution from orthopyroxene, which, according to a preliminary mineralogical characterization, should be a minor phase in the sample. In a second step, we measured several spectra along a transect between a clast and the matrix. In order to oversample the signal, the points analyzed along the sample were partly superimposed to each other (80% areal superposition). The same approach was extended to a grid of points covering an area of about 8.6 cm2, with the goal of obtaining a spatial resolution of the spectral parameters higher than the instrument’s spot size. Using this strategy, we obtained 2D maps of spectral parameters, which allowed us to infer the major mineralogical composition of the sample.
Accuracy And Performance Enhancement In Machine Learning Approach For Cloud Application

there is need to improve the performance, accuracy and scalability. proposed work is supposed to provide from hybrid approach that would make more efficient machine learning system for cloud application.
The Development of Electronic Book Contained Scientific Literacy in Learning Physics to Enhance Students’ Academic Achievement

Technology-based teaching materials enriched with scientific literacy are not yet available, notably regarding the topic of Newton's law of gravity. This study aims to develop e-booster and describe its validity, practicality, and effectiveness. This study uses ADDIE development model with the research subjects consisting of 38 students of X MIPA at a public high school in Banjarmasin. The data collection technique is implemented through interview, observation, questionnaires, and tests. The data analysis is carried out by examining the percentages of the validity test, the average scores obtained from the survey results, as well as the results of the N-gain test and t-test on students’ academic achievements. The results indicated that: (1) the validity test result of e-booster obtained 88.71% which was categorized as very high (2) the practicality result of e-booster obtained 75.39% which was categorized as practical, and (3) the effectiveness of e-booster in improving student’s learning achievement obtained 0.57 which was categorized as moderate and significant at the level α=0.05. It is then concluded that e-booster is valid, practical, and effective, and thus, suitable to be integrated within learning physics to enhance students’ academic achievement
Comparison of booklet educational media effectiveness toward exclusive breastfeeding adherence

&lt;p&gt;&lt;strong&gt;&lt;em&gt;Background:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Exclusive breastfeeding provides infants with breast milk and no additional food, water, or other liquids (except medicines and vitamins, if necessary) for the first 6 months of life. Current practice of exclusive breastfeeding in Indonesia among infants aged 4-5 months is 27%, while between age 5-6 months is 3.4%. The main contributing factors of the poor adherence to exclusive breastfeeding is the lack of knowledge, which affects behavior and motivation. Producing inclusive, appropriate, and acceptable media is essential to manage this issue.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Objectives:&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt; &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;The current study aimed to compare the effectiveness between application and booklet as educational media toward mother's adherence in exclusive breastfeeding.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Methods: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;A quasi experimental study with pre-post test with control group design carried out. The research subjects were mothers with infants aged 4-6 months in the adminstrative area of the Gamping II Public Health Center, Sleman Regency and consist of 3 villages; Banyuraden (8 hamlet), Nogotirto (8 hamlet), Trihanggo (12 hamlet) Sample determined with purposive sampling, while recruitment performed by simple random sampling. The number of samples in the control and intervention grups were 32 respondents, and total sample is 64. Exclusive breastfeeding adherence was evaluated by knowledge, and attitudes questionnaire, validated with breastfeeding record within 24 hours. Comparative analysis was performed with Mann Whitney and Mc Nemar test.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Results: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;p value yielded from pretest and posttest in the intervention group p=0.109. It was inferred that there was no significant difference of breastfeeding adherence in association with the intervention. The control group p value was p=0.039 indicating significant difference of adherence in breastfeeding practice.&lt;/em&gt;&lt;/p&gt;&lt;strong&gt;&lt;em&gt;Conclusions: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Booklet&lt;strong&gt; &lt;/strong&gt;improves adherence to exclusive breastfeeding due to the depth of materials, familiar for the intended audience, practical, easy for content distribution, visually captive, attractive and easy to use. In-app educational media could increase knowledge and attitudes in particular to exclusive breastfeeding&lt;/em&gt;
Pragmatic Transfer in Intermediate Japanese Learners' Apology Speech Act

This study aims to investigate the apology speech act strategy employed by Japanese language learners at the intermediate level and the pragmatic transfer from L1 to L2 that occurs. The data for this study were gathered using the Discourse Completion Test (DCT), which examined four apology situations focusing on the relationships with the interlocutors. The subjects of this study were 53 intermediate Japanese learners. The collected data were then classified into eight strategies or semantic formulas. The pragmatic transfer in the learner's expression was divided into pragmalinguistic transfer and sociopragmatic transfer. This study found that several factors were related to the pragmatic transfer. First, learners translate L1 phrases literally to the L2, which leads to pragmalinguistic transfer. Second, many variations and combinations in Japanese words and sentences are difficult compared with expressions in Indonesian, especially in the "kasu-kariru" and "motte iku-motte kuru" context. Third, applying a pragmatic function from L1 to the L2, which leads to sociopragmatic transfer. This study is expected to give reference in speech act study, and help understanding interlanguage pragmatic of second language learners.
Meta Analysis Study of Marketing Innovation on SME Business Performance in Ethiopia

This study looked at how market innovation affected SMEs' performance in Addis Abeba, Ethiopia, with the use of government support programs as a moderator. The study's meta-analysis will be guided by the Schumpeter innovation theory, which also incorporates the diffusion of innovation theory, expectancy theory, institutional theory, stakeholder theory, absorptive capacity theory, resource-based view/theory, dynamic capability theory, R-A theory, and a unified theory of acceptance and use of technology. The researcher used an effect size approach based on a forest and funnel plot to scan, exclude, and include relevant material. Researchers discovered a connection between the dimension of innovation and company performance on the basis of an extensive literature review. Also Based on the studied literature, the researcher discovered a link between the moderation of the government support program and the performance of SMEs' firms in the area of innovation. To carry out this study, an exploratory sequential mixed-methods research design will be used. Based on the current literature, the study attempts to create a conceptual framework and testable hypotheses. It was discovered that the impact of marketing innovation on a firm's performance was moderated by government support programs. Businesses must be encouraged to adopt government support programs with a moderating influence as a result.
Efektifitas Cara Penugasan Terhadap Hasil belajar Siswa Kelas VB Pada Mata Pelajaran IPS Di MI Darunnajah 2 Cipining

Abstract : This research was conducted with the aim of knowing how much influence the Recitation Method had on Student Learning Outcomes at MI Darunnajah 2 Cipining. Student Learning Outcomes can be used as a benchmark to assess whether education in a school is successful or not. While learning outcomes are influenced by various factors, one of which is the use of the Recitation Method by an educator in the learning process. The purpose of this study was to analyze and interpret the effect of the Recitation Method on Student Learning Outcomes at MI Darunnajah 2 Cipining. This study uses a questionnaire data collection technique (questionnaire), and documentation. The results of this study are that there is an effect of the Recitation Method on Student Learning Outcomes at MI Darunnajah 2 Cipining. It is evident from the results of hypothesis testing (temporary testing) using the Chi Square formula, the x count value is 54.5811 greater than the x significance table 5% with a value of 16.919 . As for the results of these calculations, the recitation method has a contribution or influence of 90.18% in influencing Student Learning Outcomes at MI Darunnajah 2 Cipining.&#x0D; &#x0D; Keywords: Effectiveness, method, learning outcomes, stu
The Concept of Cryptocurrency in Axiology of Science Perspective

&lt;p class="Abstract"&gt;&lt;span lang="IN"&gt;Massive&#x0D; transformation and multifaceted nature of innovation due to increasing&#x0D; interconnectivity in globalisation era–particularly through the discourse of&#x0D; the Internet of Things (IoT)– have made technology and its instruments nearly&#x0D; inevitable in human life, not least in the economic sector. Cryptocurrency as&#x0D; one of the products of this activity is getting a great deal of public&#x0D; attention. Over time, this currency is gradually favoured by many people around&#x0D; the world, especially with the demands for ease of business and transactions in&#x0D; the era of digitalisation. The shift allows individuals with access and&#x0D; associated resources to store personal assets that cannot be censored/detected&#x0D; by central and banking authorities, carry out anonymous financial transactions,&#x0D; make high-speed transfers, invest in start-ups, mine new cryptocurrency, and&#x0D; even buy land or property in the virtual world/metaverse. All these advantages&#x0D; and conveniences encourage individuals, especially businesspersons and&#x0D; investors to switch to cryptocurrencies. However, its volatility also incites&#x0D; hesitation to adopt it as a medium of exchange/trading transactions. Due to the&#x0D; functionality, legality, and disputable implications of its use, this issue&#x0D; evokes our interest to study it as a subject matter, especially through the&#x0D; lens of axiology. This study employs a qualitative method to generate&#x0D; descriptive results. Cryptocurrency serves as a form of digital asset that&#x0D; functions as a virtual medium of exchange run in a blockchain system and is&#x0D; secured using an automated cipher called cryptography. From an axiological&#x0D; point of view, the writer considers at least 5 (five) values constituting&#x0D; priority scales in crypto transactions: trust, agreement, utility, pride, and&#x0D; speculation. Finally, the writer concludes that cryptocurrency utilisation&#x0D; cannot be separated from the axiological perspective of science, considering&#x0D; the gap between personal ​​and social values is pertinent.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/p&gt;
No-Reference Image Quality Assessment Using Meta-Learning

Deep learning-based no-reference image quality assessment faces problems like dependency on a large amount of experimental data and the generalization ability of the learned model. A deep learning model trained on a specific dataset cannot obtain the desired results for testing on other datasets. Similarly, a deep learning model trained with small experiment data does not provide the best result. This paper addresses these problems of the deep learning model using the meta-learning approach in the field of no-reference Image Quality Assessment. The no-reference image quality assessment is a small sample problem, where the amount of experimental data is very less. Although data augmentation techniques have been used to increase the amount of experimental data, they do not increase the variation of the data. Therefore, traditional deep learning-based techniques are unsuitable for no-reference image quality assessment. Another problem is the lack of generalization ability. A deep learning model trained with image quality datasets containing images distorted synthetically cannot efficiently assess the quality of images distorted naturally. This work proposes a meta-learning model that can be trained with more than one image quality dataset, where one image quality assessment dataset contains synthetic images and the other contains real images. Finally, another image quality assessment dataset has tested the trained model. The test result is better than the state-of-the-art methods, and the results establish the fact that the meta-learning model proposed in this paper tries to resolve the problems of the deep learning model.
Summary

Digitization of paper documents is necessary to achieve compact and lossless storage, easy maintenance, efficient retrieval, fast transmission, and easy access. To do that analysis of documents’ layout is necessary. The objective of DLA system is to extract the document structure both geometrical and logical. A typical DLA system possesses a pre-processing stage and layout analysis stage. Pre-processing transforms the input image to a specific form, suitable for further analysis. Layout analysis involves region segmentation to extract structural information and classification to get the semantic labelling of the extracted regions. This chapter summarizes the previous five chapters describing various stages related to DLA and also gives the future direction.
Querying Circumscribed Description Logic Knowledge Bases

Circumscription is one of the main approaches for defining non-monotonic description logics (DLs) and the decidability and complexity of traditional reasoning tasks, such as satisfiability of circumscribed DL knowledge bases (KBs) are well understood. For evaluating conjunctive queries (CQs) and unions thereof (UCQs), in contrast, not even decidability had been established. In this paper, we prove decidability of (U)CQ evaluation on circumscribed DL KBs and obtain a rather complete picture of both the combined complexity and the data complexity, for DLs ranging from ALCHIO via EL to various versions of DL-Lite. We also study the much simpler atomic queries (AQs).
Relating Abstract and Structured Accounts of Argumentation Dynamics: the Case of Expansions

This paper proposes a structured variant in ASPIC+ of the notion of expansions of abstract argumentation frameworks. The purpose of this is threefold: studying what it takes to instantiate the abstract notion of expansions with a structured account of argumentation, studying to which extent assumptions implicitly made at the abstract level hold for structured instantiations and studying which potentially interesting distinctions can be made at the structured level that cannot be expressed at the abstract level.