Reviewerly/exHarmony huggingface dataset:
Quantum Learning pada Pendidikan Anak Usia Dini Studi atas Buku Edutainment Pendidikan Anak Usia Dini

Quantum Learning is Learning in the form of tips, instructions, strategies and the whole learning process that can sharpen understanding and memory, and make learning as a fun and useful process, quantum learning can be said as a learning model that emphasizes to provide meaningful benefits and also emphasizes on the level of enjoyment of students.&#x0D; Learning activities in Early Childhood is an activity that seeks to integrate students in an integrated manner by taking into account the learning environment factors, student characteristics, characteristics of the study area and various learning strategies, both delivery, management and organization of learning.&#x0D; In the Edutainment book of Early Childhood Education there are various types of edutainment models that can be applied to early childhood. One of them is by playing and singing. Playing is very important for early childhood becausetheirtime is a period or age of play. There is no reason not to consider playing activities as learning activities.&#x0D; There are three reasons that underlie the emergence of the concept ofedutainment:&#x0D; &#x0D; This positive feeling (happy / happy) will accelerate learning, while negative feelings such as sadness, fear, threatened, and feeling unable to slow down will slow down the learning process or even stop altogether.&#x0D; If someone is able to use his potential reasoning and emotions accurately,then it will make a jump in learning achievements that were not unexpected.&#x0D; If every learner can be motivated appropriately and taught in a way that respects their learning style and modality, then they will all be able to achieve optimal learning outcomes.&#x0D; &#x0D; &#x0D; &#x0D; Keyword : Quantum Learning, Early Childhood Education, Childhood Education Edutainment Book
Impact of Television Advertising on the Impulse to Purchase Over-the-Counter Medicine

The pharmaceutical industry is a dynamic ever-growing market.It is a market that will never cease to exist.Given the current economic, political and demographic situation in Romania, the demand for medication will be increasingly higher for all age categories.The motivation is as simple as it is complex: time and time management for the 21st century man becomes a concept that is more and more difficult to control.Health care in this light century keeps going down due to long hours spent at work, highly processed foods and lack of or continual postponement of physical exercise.All these trigger a body weakness and implicitly a deterioration of one's health.Therefore, people are more prone to embrace more rapid and miraculous methods towards physical restoration.People tend to believe that their health issues are more numerous while television advertisements promise to solve all these issues for them.We consider that it is firstly necessary to educate consumers in this respect as they are the only ones able to decide on what is best for them; on the other hand, drugs advertising may only influence a potential consumer to the extent to which they allow this to happen.Throughout this study, we will mathematically show how advertising influences the impulse to purchase over-the-counter drugs.
Large-scale synthetic frequency dimension optical computing using integrated acousto-optic modulator

We show the large-scale, complex-valued matrix-vector multiplications on synthetic frequency lattices with an ultra-efficient, silicon-based cavity acousto-optic modulator. With the strong electro-optomechanical coupling, we achieve, full-range phase-coherent frequency conversions in a single modulator.(/p)(p)Comments and questions should be directed to the Optica Conference Papers staff (tel: +1 202.416.6191, e-mail: cstech@optica.org ).
Analysis of the RAINBOW post-quantum electronic signature algorithm state and attacks on it for the period of the NIST PQC third round completion

The paper identifies and analyzes attacks aimed at cryptanalysis of the Rainbow post-quantum electronic signature algorithm and the state of this electronic signature within the framework of the NIST PQC competition and as a whole. The Rainbow electronic signature as a candidate in the third round of the NIST PQC was examined in detail for the possibility of cryptanalysis. The possibility to use this quantitative attack on the Rainbow electronic signature and the complexity of such an attack depends on the possibility to use this electronic signature in the post-quantum period. Also during the NIST PQC report on the peculiarities of the adoption of the first post-quantum standards, which took place on March 8-11, 2022, some concerns about the Rainbow's security were mentioned due to the implementation of an attack on one of the parameter sets (although the parameter set of the second round). Some details of this attack were discussed in the paper to understand better the state of the Rainbow's electronic signature at the end of the third round of the NIST PQC.
Scaling analysis of the Telegram Open Network blockchain project

Blockchain systems are always distributed but differ greatly in resolutions, sizes, roles, transparency, types of participants, and the way transactions are handled. The decentralized structure offers inalienable security benefits, but with a large number of participants faces the problem of limited scaling. Sharding is suggested to solve this problem. Sharding is a way to divide consensual workload and transactions into several nodes. Effective application of sharding requires a lot of detail and work in terms of architecture and system implementation. As was found in the process of the work, in order to achieve significant results in scaling the blockchain system through sharding, it is necessary that the blockchain project is based on several blockchains simultaneously (i.e. had a multi-blockchain architecture) and provides infrastructure for fast and reliable messaging between them (i.e. strongly interconnected). The Telegram Open Network (TON) and its component TON Blockchain are considered an example of such a project.&#x0D; This work provides a comparative analysis of the most popular blockchain platforms (Bitcoin and Ethereum) with the implementations of TON Blockchain ideas (The Open Network and Everscale) on three parameters: system bandwidth (measured at transactions per second, abbreviated TPS), the average time of a new block’s appearance in the network and projected bandwidth in TPS.
AI Based Smart Assistant System for Drowsiness Driver

Virtual Assistant is an artificial intelligence-based technology. It was created to assist users with their fundamental chores and offers information in a natural language way. When a user requests that his assistant complete a task, the native language voice stream is translated into digital data t
Proposal for the Improvement of the Portal Transparency of the Executive Government of Santa Catarina

The purpose of this article is to provide guidelines for improving the data and public information transparency in the State of Santa Catarina, related to Education, through the Transparency Portal of the Executive Government. This is a descriptive and qualitative research, which uses an analysis model based on attributes of information quality. The population consisted of 61 information requests from 2019 based on the Access to InformationAct (LAI). Using a documentary and content analysis, the specific results that 88% of the requests refer to Basic Education and 12% to Higher Education. Another classification showed that 58.8% are associated with "Provision of Services", 29.4% in "Institutional Information" and 11.8% in "Financial Management". Twenty-three content proposals were elaborated addressing aspects of relevance, reliability, language, presentation, timeliness and historical series, which are part of the dimensions usefulness, understandability and temporality of the analysis model. The proposals deal with organizational information, human resources, schools, the state university, as well as services, actions and results, expenses and the agreements and transfers of resources related to Education. They address general aspects, such as the general number of students, teachers and schools, but they also guide the availability in a particular way, such as content related to certain expenses of each school. The creation of the “Education” thematic page on the Portal to concentrate the content repertoire and facilitate access and directing to other pages and existing features on the Portal, applying education filters, consisted of a general improvement proposal.
Malaria Parasite Detection using Deep Learning

Abstract: Malaria is a serious disease. Nowadays, People need to go to laboratories or Laboratory technician comes to people`s house to do test for malaria. This process is time-consuming. This disease must be treated fast otherwise people will suffer through some serious complications such as liver failure, jaundice, and many more. For better treatment, reports have to be come out as quickly as possible. This paper makes accessible a review of work that has been done in space of reducing time for taking the test for malaria with help of Deep learning and Image processing.
Supplemental Material for Forming meaningful connections between strangers in virtual reality: Comparing affiliative outcomes by interaction modality.

At present the extent to which close, meaningful connections can be formed in virtual reality (VR) between strangers is unknown, as is how the development of such connections compares to those formed in other established communication modalities.The present preregistered experiment examined the induction of closeness in VR using a validated social interaction task and how it compares with such induction in other interaction modalities with respect to affiliative outcomes (e.g., closeness toward and perceived responsiveness of interaction partner).Based on previous theory and research, we hypothesized that affiliative outcomes would be higher in interaction modalities featuring more versus less sensory input but would not differ significantly between the most sensoryrich modalities (video and VR).Two hundred seventy-two previously unacquainted undergraduate students were randomly assigned to interact with a partner (forming 136 dyads) using the "fast friends" procedure (Aron et al., 1997) via either text, audio chat, video chat, or VR.Results were consistent with hypotheses, suggesting that closeness and related outcomes can be generated and experienced in VR akin to levels experienced via other sensory-rich computer-mediated modalities.Exploratory analyses of possible individual difference moderator variables (Big Five personality dimensions and attachment orientations) yielded largely nonsignificant findings, suggesting the robustness of the obtained findings across individual differences.
Evaluasi Tata Kelola Teknologi Informasi di Perpustakaan Perguruan Tinggi dengan COBIT 5

The COBIT 5 framework can be implemented in all organizations or enterprises. This study analyzes and finds the maturity level of IT governance in the XYZ Library. Libraries have a role in encouraging the efficiency and effectiveness of the learning process. The IT governance element in COBIT 5 aims to get results from evaluating stakeholders' needs, conditions and choices. Survey and in-person interviews are methods of obtaining data and information from the IT governance process at the XYZ Library. The COBIT 5 domains used are evaluated, direct, and monitored (EDM) and align, plan and organize (APO) domains. The results of the evaluation that have been carried out show the findings of gaps in the process domain EDM01 with a value of 2.34 and EDM04 with a gap of 2.25. While in the process domain, APO01 with a gap of 2.13, and APO07 with a gap of 2.34. With the average value of the entire gap at the level of 2.26, the findings of the XYZ Library with the process domains EDM01, EDM04, APO01, and APO07 show that the process is managed and the results are determined, controlled, and maintained (Managed). For further research, we can add more process domains both in the Governance and Management areas so that the audit process with the COBIT 5 framework can be carried out comprehensively.
Experimental resource-efficient photonic variational quantum eigensolver

We report implementation of experimental-resource efficient photonic variational quantum eigensolver using multiple degrees of freedom of a single photon. It is equipped with the quantum error mitigation protocol that efficiently remedies the Pauli channel noise.
An Application of Multi-label Linear Discriminant Analysis and Binary Relevance K-Nearest Neighbor in Multi-label Classification of Annotated Images

Although Binary Relevance (BR) is an adaptive and conceptually simple multi-label learning technique, its inability to exploit label dependencies and other inherent problems in multi-label examples makes it difficult to generalize well in the classification of real-world multi-label examples like annotated images.Thus, to strengthen the generalization ability of Binary Relevance, this study used Multi-label Linear Discriminant Analysis (MLDA) as a preprocessing technique to take care of the label dependencies, the curse of dimensionality, and label over counting inherent in multi-labeled images.After that, Binary Relevance with K Nearest Neighbor as the base learner was fitted and its classification performance was evaluated on randomly selected 1000 images with a label cardinality of 2.149 of the five most frequent categories, namely; "person", "chair", "bottle", "dining table" and "cup" in the Microsoft Common Objects in Context 2017 (MS COCO 2017) dataset.Experimental results showed that micro averages of precision, recall, and f1-score of Multi-label Linear Discriminant Analysis followed by Binary Relevance K Nearest Neighbor (MLDA-BRKNN) achieved a more than 30% improvement in classification of the 1000 annotated images in the dataset when compared with the micro averages of precision, recall, and f1score of Binary Relevance K Nearest Neighbor (BRKNN), which was used as the reference classifier method in this study.
The Effect of Resource Endowment and Governance on Human Capital Development of Sub-Saharan African Countries

Human capital development is a process of enhancing the level of human capital capacity through attaining school and provides incentive-based training.The study helps to analyze the interaction between governance, resource and human capital in the study area.To conduct this study panel data type from 2005-2018 has been used, the data obtained from the World Bank database and the Penn world database and for analysis, both descriptive and system GMM panel data analysis have been used.The main reasons enforce to conduct this study is to checkup whether the resource endowment and governance important for human capital?Results of this study show that except for lag of human capital and voice and accountability other variables like resource endowment, labor participation rate, foreign direct investment, rule of law, and regularity quality are statistically and negatively affected human capital development.Given these results, the researcher recommended as, a responsible bodies in sub-Saharan African countries should be attained on the expansion of FDI that has to be especially concentrated on the manufacturing sector; an institution for good governance first should develop than formulate good governance principles, and finally develop resource merit institution in the favor of human capital development.
Research institute 2.0 Of The innovative university: integration for industrial development

The article examines the current state of the research activities of the Technical University. In the context of the transformation of an educational institution to solve the practical problems of the modern economy for the tasks of ensuring import independence, the structure of universities is being updated. One of the directions of such changes is the creation of innovation research institutes (RII-2) for Industry 4.0 based on university collaborations.
Testing Multiple Apps and Versions in Same Test Suite

In the previous chapter, we created methods to generate screenshots to be added to PDF reports. In this chapter, we will discuss ways we can test multiple apps and multiple versions of the same app in the same test suite. We will start by discussing a best practice you should follow.
Advanced Topic 4: Implementing Parallel Test Execution

In the previous chapter, we added localization testing capability to our framework, which allows us to test a multilingual app. In this chapter, we will discuss how to spawn and manage multiple driver instances. This will be useful when running tests in a device cloud for parallel execution. Let’s see how to manage multiple sessions in the next section.
Writing Your First Test Suite

In the previous chapter, we created the initial set of page objects and the workflow class for screen navigation. In this chapter, we will create a test suite and implement soft assertions. We will also examine the use of various Junit and Allure annotations in test methods and see how to assign these methods to particular Gradle tasks. Let’s begin!
Advanced Topic 3: Adding Localization Testing Capabilities

In the previous chapter, we integrated our framework with HP ALM in order to carry out normal CRUD operations. In this chapter, we will discuss how to test localized texts for a multilingual app. You can extend this to also verify non-text elements using reusable methods in the MobileBaseActionScreen class (Listing 6-4). This is an advanced value-add chapter and can be skipped if your app is not multilingual. I will first discuss the test approach.
The Accuracy of Simple Present Tense In Students’ Writing Descriptive Text At Tenth Grade of Smk Kesehatan Cendikia Husada Academic Year 2020/2021

Abstract The accuracy of simple present tense is the purpose of learning simple present tense which intends to train students in writing and speech that necessary. However, many students are confused in using simple present grammar. The research aims to investigate types of error and to investigate the extent of accuracy of simple present tense in writing descriptive text. The instrument used was a written test in which students were asked to write a descriptive text with the theme "My shoes". The analysis uses surface strategy taxonomy by determining the types of omission, addition, misformation, and misordering. Finding the level of accuracy, the researcher used an agreement from the simple present tense grammar which includes subject-verb agreement, verb-verb agreement, and verb-time agreement. Then, data obtained 30% omission, 11.25% addition, 50% misformation, and 8.75% misordering, errors in the simple present tense agreement, namely 98.9% subject-verb agreement, 0% verb-verb agreement, and 1.1% verb-time agreement. So the data obtained subject-verb agreement as to the most agreement error and misformation became the most error of the four types of errors. From these data, the average level of accuracy of simple present tense in writing descriptive text was 61% while the error rate was 39%.&#x0D; &#x0D; &#x0D;
Demotivating Factors on Students'Speaking of the Fourth Year Students of English Education Study Program of Muhammadiyah Kotabumi University

Abstract: Students demotivation is a study which is rarely to be researched. Demotivation is decreasing the basis of motivation. It is caused by students do not motive to do something and to fulfill a specific activity. One of the reasons of students demotivation in speaking English is teaching speaking. The purpose of this study was to describe the biggest demotivating factors on students speaking of the fourth-year students of English Education Study Program of Muhammadiyah Kotabumi University. The research method used in this study is descriptive quantitative method. The data from this study were taken from the results of questionnaire. The results of this study is the biggest demotivating factors on students speaking are lack of self-confidence to speak English in classroom with 100% of students who chose this statement. Secondly, expecting to use (or speak and write) grammatically correct English with 96% of students who chose this statement. Lastly, the lecturer assign to read a great number of textbooks and supplementary readers with 92% of students who chose this statement. It is very important for the lecturer and students to know these demotivating factors due to improve students speaking English skill.
Geometry-induced wave-function collapse

When a quantum particle moves in a curved space, a geometric potential can arise. In spite of a long history of extensive theoretical studies, to experimentally observe the geometric potential remains a challenge. What are the physically observable consequences of such a geometric potential? Solving the Schr\"odinger equation on a truncated conic surface, we uncover a class of quantum scattering states that bear a strong resemblance to the quasiresonant states associated with atomic collapse about a Coulomb impurity, a remarkable quantum phenomenon in which an infinite number of quasiresonant states emerge. A characteristic defining feature of such collapse states is the infinite oscillations of the local density of states (LDOS) about the zero energy point separating the scattering from the bound states. The emergence of such states in the curved (Riemannian) space requires neither a relativistic quantum mechanism nor any Coulomb impurity: they have zero angular momentum and their origin is purely geometrical, hence the term ``geometry-induced wave-function collapse.'' We establish the collapsing nature of these states through a detailed comparative analysis of the behavior of the LDOS for both the zero and finite angular momentum states as well as the corresponding classical picture. Potential experimental schemes to realize the geometry-induced collapse states are articulated. Not only does our paper uncover an intrinsic connection between the geometric potential and atomic collapse, it also provides a method to experimentally observe and characterize geometric potentials arising from different subfields of physics. For example, in nanoscience and nanotechnology, curved geometry has become increasingly common. Our finding suggests that wave-function collapse should be an important factor of consideration in designing and developing nanodevices.
Directional Prefrontal-Thalamic Information Flow is Selectively Required During Spatial Working Memory Retrieval

Spatial working memory is a kind of short-term memory that allows temporarily storing and manipulating spatial information. Evidence suggests that spatial working memory is processed through three distinctive phases: encoding, maintenance, and retrieval. Though the medial prefrontal cortex (mPFC) and mediodorsal thalamus (MD) are involved in memory retrieval, how the functional interactions and information transfer between mPFC and MD remains largely unclear. Therefore, we recorded local field potentials (LFPs) from mPFC and MD while mice performed a spatial working memory task in T-maze. The temporal dynamics of functional interactions and bidirectional information flow between mPFC and MD was quantitatively assessed by using directed transfer function. Our results showed an increased functional connectivity in the theta band preceded an animal’s correct choice and the altered connectivity was only found in the mPFC but not MD. In addition, we found a significantly elevated information flow from mPFC to MD, varied in time and frequency (theta in particular), accompanying successful memory retrieval. These findings indicate an important role of the directional information transfer from mPFC to MD for memory retrieval.