Reviewerly/exHarmony huggingface dataset:
Development of E-Module Using Flip PDF Professional to Improve Economic Learning Outcomes of Class X Social Studies Students of Prayatna College Private High School Medan

This study aims to find out: (1) the feasibility of e-modules using a professional PDF flip for class X social studies students of Prayatna College Private High School Medan; (2) the effectiveness of the e-module using a professional PDF flip to improve the economic learning outcomes of students X social studies private high school Prayatna College Medan.This research is a development research with ADDIE model.The samples for this research were students of class X social studies of Private High School, Prayatna College Medan, class X social studies 1 totaling 35 students and class X social studies 2 totaling 35 students.The results of this research are: (1) e-module using professional PDF flip on economics subjects is feasible to be used for the students based on the validator's assessment with a very decent category; (2) e-module using a professional PDF flip in economics subjects is effectively used for class X students based on the results of the t-Test where the sig value of 2 tailed is 0.000<0.05,then Ho is rejected and Ha is accepted so that there are differences in learning outcomes before and after being treated with the e-module using a professional PDF flip.
Sound Guide For Blind People

This document contains information about a wearable device that enables blind people to get around safely. Potential problems with wearable devices include losing the device, misplacing it, or forgetting it when leaving home. An GPS enabled wearable device can help alleviate some of these problems by notifying the user of the device’s location if it is lost and by sending reminders to the user if the device is not taken with them when they leave the house. The wearable device can also provide the user with information about the environment, such as obstacles and steps, through haptic feedback or an audible indicator .
Optimization of Deep Reservoir Computing with Binary Genetic Algorithm for Multi-Time Horizon Forecasting of Power Consumption

The roll of consumption energy forecasting is very important to make planning of time-horizon strategy, and to mitigate a great energy management. As a result, improving the sustainability of energy, and creating a clean environment. Aiming to develop the forecasting of consumption energy in different time horizons, this work gives the results of a new hybrid method, which combine deep echo state network (DeepESN), with Binary genetic algorithm (BGA). DeepESN is an extension of Echo state network (ESN), which integrates the strong nonlinear time series processing capability (of ESN) with the advanced learning characteristic of the deep learning models. BGA is another version of genetic algorithm optimization methods that can be applied to find the best values of architecture hyperparameters of deep learning models, basesd on binary decoding of his chromosoms. In this work, we compared the accuracy and performance of proposed model DeepESN-BGA with other deep learning methods. It is found that DeepESN-BGA have a fast processing compared with other models. In addition, it gives best results based on error metrics, compared with DeepESN without BGA, and other deep learning models, in different time horizon forecasting. Proposed model has been compared also with DeepESN-DE, DeepESN-GA, and DeepESN-PSO aiming to evaluate the performance of BGA in term of deep learning optimization. DeepESN-BGA gives statistically good result compared with other hybrid models.
ESPAÇOS ESCOLARES PARA AUTISTAS: UMA REVISÃO SISTEMÁTICA DA LITERATURA

This article aims to present a Systematic Literature Review (SRL), bringing as a central theme an investigation within the published studies, which aims to know what the learning spaces are like for people within the autistic spectrum, in addition to identifying the special needs of these individuals and how these places must respond environmentally to better welcome and include them, based on the principle of accessible and democratic environments for all.According to the results found, it was possible to observe that there are few publications related to the topic.
Rumours compromise Nigerian central bank credibility

Headline NIGERIA: Rumours compromise central bank credibility
The applicability of G-BASE stream sediment geochemistry as a combined geological mapping, and prospective exploration tool for As-Co-Cu-Ni mineralisation across Cumbria, UK.

Stream sediment geochemistry is a useful tool to analyse the geochemistry of the local geology within the source catchment area. This has significant applicability within the field of mineral exploration where understanding regional lithological geochemistry is needed, facilitating the identification of critical metal deposits. Successful identification of these deposits is essential to help tackle the deficit of these metals supply chains, especially for cobalt. This is in order to meet future carbon-neutral technological demand as part of global initiatives towards a more environmentally sustainable society. We make use of the UK Geochemical Baseline Survey of the Environment (G-BASE) dataset to demonstrate that stream sediment geochemical data has the potential to be used as a useful tool for isolating potential Energy Critical Elements (ECEs) in host rocks across the UK Lake District. We reduced the dimensionality of the G-BASE stream sediment data, creating geochemical maps that identify a combination of volcanic, sedimentary, and plutonic lithologies lining up geological boundaries from established 50k scale geological maps of the area. This was conducted through a combined statistical and mapping approach within QGIS and ioGAS. Furthermore, we identified average ore metal concentrations (Ag, As, Bi, Co, Cu, Mo, Ni, Sn, Zn) for the Skiddaw Group and the Borrowdale Volcanic Group, two established host groups for As-Co-Cu-Ni mineralisation. Average concentrations of Co in the Skiddaw have been modelled to be 63.26 ppm, and in the Borrowdale volcanics to be 26.86 ppm. These values, combined with As, Cu, and Ni modelled concentrations, and other available exploration-related data (structural maps, underlying batholith topography, mining history etc.) have allowed us to identify 10 prospective areas of interest for possible As-Co-Cu-Ni mineralisation across these two lithological groups. This workflow has strong applicability within critical metal exploration in other, more prospective regions across the globe.
Estimating the Bias of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><mml:mrow><mml:mrow><mml:mrow><mml:mstyle mathsize="0.85em"><mml:mi>CX</mml:mi></mml:mstyle></mml:mrow></mml:mrow></mml:mrow></mml:math> Gates via Character Randomized Benchmarking

Recent work has demonstrated that high-threshold quantum error correction is possible for biased-noise qubits, provided that one can implement a controlled-sc not (CX) gate that preserves the bias. Bias-preserving CX gates have been proposed for several biased-noise qubit platforms, most notably Kerr cats. However, experimentally measuring the noise bias is challenging, as it requires accurately estimating certain low-probability Pauli errors in the presence of much larger state-preparation-and-measurement (SPAM) errors. In this paper, we introduce bias-randomized benchmarking (BRB) as a technique for measuring bias in quantum gates. BRB, like all RB protocols, is highly accurate and immune to SPAM errors. Our first protocol, CX-dihedral BRB, is a straightforward method to measure the bias of the entire CX-dihedral group. Our second protocol, interleaved-bias randomized benchmarking (IBRB), is a generalization of interleaved RB tailored to the experimental constraints of biased-noise qubits; this is a more involved procedure that directly targets the bias of the CX gate alone. Our BRB procedures occupy a middle ground between classic RB protocols that only estimate the average fidelity and tomographic RB protocols that provide more detailed characterization of noise but require more measurements as well as experimental capabilities that are not necessarily available in biased-noise qubits.Received 29 July 2022Accepted 26 October 2022DOI:https://doi.org/10.1103/PRXQuantum.4.010307Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasQuantum benchmarkingQuantum error correctionQuantum gatesQuantum Information
PENGARUH MEDIA VIDEO ANIMASI TERHADAP MINAT BELAJAR SISWA KELAS IV SDN 1 BOJONGNEGARA

The low interest in learning of students and the lack of availability of class IV facilities and infrastructure at SDN 1 Bojongnegara became the motivation to carry out this research. The purpose of this study was to see how the influence of animated video media on the learning interests of grade IV students of SDN 1 Bojongnegara. This research uses quantitative methods through questionnaires as a method of collecting data. Researchers took samples from grade IV of SDN 1 Bojongnegara with a total of 30 students. A simple linear regression test is an analytical technique in this study. The objects in this study are animated video media (X) and the interest in learning grade IV students of SDN 1 Bojongnegara (Y). The results showed that the sig value &lt; 0.05 which can be interpreted as animated video media affects the learning interest of grade IV students of SDN 1 Bojongnegara. In addition, the results of the study also showed an R value of 0.550 and an R square of 0.302, which means that animated video media affects the learning interest of grade IV students of SDN 1 Bojongnegara by 30.2%. While other influencing factors were 69.8%. Thus, it can be concluded that applying animated video media can affect the learning interest of grade IV students at SDN 1 Bojongnegara.
Peer Instruction as Teaching Method in Cybersecurity and Data Privacy

Cybersecurity and data privacy are important fields today. Basic education in these two interconnected areas should already be offered in schools, as practically everyone today can encounter the dangers and risks of the Internet in terms of data theft, data manipulation or the like. However, the topics of cybersecurity and data privacy are generally abstract, and many people are not interested in such rather technical topics. To arouse interest and provide a certain basic education, we used ‘peer instruction’ combined with storytelling as a promising method. Within the framework of an EU project called GEIGER and with the support of students who have learned data privacy by means of the presented method, the method has been further developed, applied, tested, reflected, and iteratively improved. In summary, the method presented is useful for the topics of cybersecurity and data privacy, but the recommendations compiled must be considered in particular with regard to careful preparation and testing.
Menulis Puisi Menggunakan Metode Langsung

Writing poetry with the direct method is training given to students of SMPK Ratu Damai, sub-district of Waibalun, East Flores district to answer questions related to the implementation of the direct learning model in poetry writing training for class VII students of SMPK Ratu Damai, Waibalun sub-district, East Flores district. The purpose of this training activity is to describe the implementation of the direct learning model in poetry writing training for class VII SMPK Ratu Damai which can provide benefits for students, schools, and teachers. Writing skills can only be implemented through focused and continuous practice. To produce good writing requires continuous process and practice. The method of this training activity is carried out in a direct way which is carried out in stages. The first part begins with an explanation of the material and the second part is an exercise in writing poetry. This training is able to encourage enthusiasm, motivation, interest, and increase students' knowledge about poetry writing techniques with good results. The results of the poetry writing training in class VII SMPK Ratu Damai, Waibalun sub-district, East Flores district showed that students were skilled at writing poetry especially in choosing diction, figurative language, imagery, variety, and good typography.
INLISLite dalam Manajemen Layanan Perpustakaan Sekolah

The management of special services in school libraries in general aims to provide smoothness to the learning process and to meet the needs of learners for learning reference sources. In order for the purpose of learning and education in schools to be achieved, the library plays an important role in supporting the implementation of learning to take place successfully. Library management must be planned, organized, and controlled so that library functions can be utilized optimally by providing excellent service to its users. The forms of services in the library are circulation services, reference services and information services. With the use of advances in library technology, it has an INLISlite automation system that makes it easier to manage library services. This research uses qualitative methods with literature studies as a data collection technique. This research is expected to be a reference for other libraries that have not implemented INLISlite automation.
Optical transmitter for time-bin encoding quantum key distribution

We introduce an electro-optical arrangement that is able to produce time-bin encoded symbols with the decoy state method over a standard optical fiber in the C-band telecom window. The device consists of a specifically designed pulse pattern generator for pulse production, a field-programmable gate array that controls timing and synchronization. The electrical pulse output drive a sequence of intensity modulators acting on a continuous laser that deliver bursts of weak optical pulse pairs of discrete intensity values. Such transmitter allows for the generation of all the quantum states needed to implement a discrete variable Quantum Key Distribution protocol over a single-mode fiber channel. Symbols are structured in bursts; the minimum relative delay between pulses is 1.25 ns, and the maximum symbol rate within a burst is 200 MHz. We test the transmitter on simulated optical channels of 7dB and 14dB loss, obtaining maximum extractable secure key rates of 3.0 kb/s and 0.57 kb/s respectively. Time bin state parameters such as symbol rate, pulse separation and intensity ratio between signal and decoy states can be easily accessed and changed, allowing the transmitter to adapt to different experimental conditions and contributing to standardization of QKD implementations.
Build automation systems against CI lock-in : A comparative study of Dagger and Mage

Vendor lock-in is a well-known phenomenon in the software industry. Strongly relying on vendor-specific implementation may cause financial and technological hardships to manufacturers and can establish monopoly situation of a vendor. With the spread of cloud-based development tools, vendor lock-in is present not only during operation, but also during development. This article provides an overview of risk types introduced to projects by vendor lock-in situation. Key factors of vendor lock-in are also identified, especially with regard to modern cloud-based CI/CD services. Later, a test software architecture is demonstrated how to minimize CI lock-in, followed by a detailed comparison of two build automation systems that can be used in practice for this purpose. The applicability of build automation systems is demonstrated on the implementation and test results.
A Blockchain-Based Retribution Mechanism for Collaborative Intrusion Detection

Abstract Collaborative intrusion detection approach uses the shared detection signature between the collaborative participants to facilitate coordinated defense. In the context of collaborative intrusion detection system (CIDS), however, there is no research focusing on the efficiency of the shared detection signature. The inefficient detection signature costs not only the IDS resource but also the process of the peer-to-peer (P2P) network. In this paper, we therefore propose a blockchain-based retribution mechanism, which aims to incentivize the participants to contribute to verifying the efficiency of the detection signature in terms of certain distributed consensus. We implement a prototype using Ethereum blockchain, which instantiates a token-based retribution mechanism and a smart contract-enabled voting-based distributed consensus. We conduct a number of experiments built on the prototype, and the experimental results demonstrate the effectiveness of the proposed approach.
Intelligence and Analytical Approaches for the Crime-Gang-Terrorism Nexus

This paper discusses the range of intelligence challenges and approaches to addressing the cross-cutting issues of crime, gangs, and terrorism. These approaches include fusion centers, terrorism early warning, and analysis/synthesis approaches. Tools pote
Communicative Adequacy of Linguistics Features Incorporated in the Design of the National Microfinance Bank Commercial Advertisements in Tanzania

This study investigated the communicative adequacy of linguistic features employed in the design of commercial advertisements for the National Microfinance Bank (NMB) in Tanzania. A qualitative research approach and an analytical research design were used. The study employed a population of 250 NMB commercial advertisements, six direct sales officers and a sample of 153 advertisements and three direct salespeople as the representatives of the entire population. A content analysis with an observation checklist for commercial advertisements was used to collect and analyze the sampled advertisements, whereas the interview schedule was used to collect data from NMB direct sales officers. The study concludes that NMB advertisers used a variety of features in their advertising language such as capitalization, different forms of lexicon and varying types of sentences in an effort to capture readers' attention and to impress readers with the quality of their products or services. In grammar perspectives, the language used flouted Grice’s maxims of effective communication. However, the viewers or readers could easily understand the meaning implied. The use of both English and Kiswahili facilitated communication in the country with linguistic diversity and the use of short sentences and phrases was the best strategy to facilitate readability much as the vocabulary used was extensive and vibrant. The study recommends that NMB designers should keep using graphology and layout of advertisements for they reinforce sufficient communication and arouse interests in readers. Furthermore, NMB should continue using code-mixing and code-switching for the strategies tend to effectively grab the attention of customers.
Grey wolf optimization (GWO) with the convolution neural network (CNN)-based pattern recognition system

The dynamic video frame dataset’s automated feature analysis addresses the complexity of intensity mapping with normal and abnormal classes. Iterative modelling is needed to learn the component of a video frame in several patterns for various video frame data types for threshold-based data clustering and feature analysis. GWO optimises the Convoluted Pattern of Wavelet Transform (CPWT) feature vectors employed in this paper's CNN feature analysis technique. A median filter reduces noise and smooths the video frame before normalising it. Edge information represents the video frame's bright spot boundary. Neural network based video frame classification clusters pixels using feature recurrent learning with minimal dataset training. The filtered video frame's features were evaluated using complex wavelet transformation feature extraction algorithms. These features demonstrate video frame spatial and textural classifications. CNN classifiers help analyse video frame instances and classify action labels. Categorization improves with the fewest training datasets. This strategy may be beneficial if compared to optimal practises.
Chapter 4: Minds in the infosphere

Despite the remarkable cognitive power, humans are not alien beings living in their isolated universe but part of the Earth’s biosphere – a dynamic, intelligent system. The working of the human mind and society is built upon and follows the principles of the natural world. In today’s modern society, where technological advancement has significantly increased information accessibility to new knowledge, social sciences can greatly benefit from discoveries in natural sciences. In this book, the latest findings in life sciences are used as evidence to demonstrate and explain the mechanisms of psychological and social information processes. Mindsponge is a novel theory of information processing in the human mind. The mechanisms of information processing are present in all levels of the natural world – from ecological and physiological down to cellular and molecular. As a subset of nature, humans express these patterns in the way we think, believe, behave, and establish social constructs. By looking at the intelligent “minds” of nature, a more accurate framework for human cognition can be logically derived. The mindsponge theory reflects the physical, chemical, and biological laws upon the mental world, not the other way around. Throughout the book, readers will find interesting, often hilarious,
Frontmatter

Despite the remarkable cognitive power, humans are not alien beings living in their isolated universe but part of the Earth’s biosphere – a dynamic, intelligent system. The working of the human mind and society is built upon and follows the principles of the natural world. In today’s modern society, where technological advancement has significantly increased information accessibility to new knowledge, social sciences can greatly benefit from discoveries in natural sciences. In this book, the latest findings in life sciences are used as evidence to demonstrate and explain the mechanisms of psychological and social information processes. Mindsponge is a novel theory of information processing in the human mind. The mechanisms of information processing are present in all levels of the natural world – from ecological and physiological down to cellular and molecular. As a subset of nature, humans express these patterns in the way we think, believe, behave, and establish social constructs. By looking at the intelligent “minds” of nature, a more accurate framework for human cognition can be logically derived. The mindsponge theory reflects the physical, chemical, and biological laws upon the mental world, not the other way around. Throughout the book, readers will find interesting, often hilarious,