Reviewerly/exHarmony huggingface dataset:
Quantum Logarithmic Space and Post-Selection.

Post-selection, the power of discarding all runs of a computation in which an undesirable event occurs, is an influential concept introduced to the field of quantum complexity theory by Aaronson (Proceedings of the Royal Society A, 2005). In the present paper, we initiate the study of post-selection for space-bounded quantum complexity classes. Our main result shows the identity $\sf PostBQL=PL$, i.e., the class of problems that can be solved by a bounded-error (polynomial-time) logarithmic-space quantum algorithm with post-selection ($\sf PostBQL$) is equal to the class of problems that can be solved by unbounded-error logarithmic-space classical algorithms ($\sf PL$). This result gives a space-bounded version of the well-known result $\sf PostBQP=PP$ proved by Aaronson for polynomial-time quantum computation. As a by-product, we also show that $\sf PL$ coincides with the class of problems that can be solved by bounded-error logarithmic-space quantum algorithms that have no time bound.
LibGuides: Remote Library Instruction Basics and Tools: Note Taking Advice

Links to videos, books, and other resources focused on improving student note-taking skills.
A Unique Approach of Optimization in the Genetic Algorithm Using Matlab

Genetic Algorithms use several tests for automation. Ever since the evolutionary procedures are based on heuristics, the output efficiency and performances differ through multiple times, an environment need is created to overcome these intricacies. The robustness problem of optimizing multimodal functions is overcome by GA. The paper aims to give an idea on genetic algorithm for function optimization. MATLAB is used for this work. The advantages of the genetic algorithm are highlighted in this work. The main concepts of the genetic algorithm of selection, mutation, recombination, and elitism are described in this work.
Il lascito del proprio corpo a fini didattici e di ricerca. Il nobile (ma vano) intento della legge 10/2020

The essay gives a sharp outline of the recent Italian law ruling body donation to science after death, as a personal choice exclusively founds on a conscious and free act of will. The statute, however, has not been met its aim, lacking of supporting the donor in making his consent fully effective. Indeed, as one of the highest displays of human solidarity, this issue would have required a balance between scientific research interests and individual autonomy protection.
Supervision calamity of public opinion actions based on field programmable gate array and machine learning

The community's rise, public opinion network's popularity, and emergency personnel's advancement have changed drastically. Individuals can now go online from any place and through communications systems to share their opinions and attitudes more efficiently and more often. As illustrated by the preceeding network approach, public sentiment on neural networks and IoT is critical for the public sector, the public interest, and a special event in an emergency (IoT). In terms of data security and anonymity, the proposed program is not safe and has environmental problems. Network public opinion's approach is based on FPGAs and machine education. FPGAs (Field Programmable Gate Array) Instant perspectives, possible future themes, knowledge exchange, excellent content and Team variance are used to build machine learning. In this popular sentiment network, several disasters have seriously threatened the security of our community. Public views on disaster networks in all type of internet media, such as internet news, blogs and webpages, are inextricably connected with society. This plays into unprecedented stress the ability of the government to deal with crises and their consequences.
Search for Patterns Applying Association Rules in the Retail Sector using Orange

The retail companies are in a constant struggle to maintain and raise their profits as well as to offer the services and products the clients wish to acquire. In order to achieve this, they are in an ongoing search for strategies for decision making that produce positive values for the business. To reach this goal, and to get clear and efficient strategies, possessing a large amount of data gathered on the commercial transactions, the need to analyze in an intelligent way the aforementioned data arises, extracting useful knowledge to support the decision making and an understanding of the association patterns that take place in the sales-clients behavior. This research has the objective of execute the search for patterns applying data mining techniques to find new and better Association Rules on the database of a retail company, using the data provided by them and the Data Mining tool: Orange Canvas employing the FP-Growth algorithm.
Application of the Cantol Roudhoh Method to Improve Student's Reading Ability in RA Siti Fatimah

The application of learning to read cantol roudhoh is one of the learning techniques that can improve children's language skills. This technique is very suitable for early childhood learning. The results of research conducted at RA Siti Fatimah, Harjamukti Village, Cirebon City, showed that the objective conditions of language learning were studied from the teacher's perspective, positive responses of children, teaching and learning processes, and supporting facilities, using the cantol roudhoh method which was applied in developing aspects of language, and skills children's language that can develop as expected. The implementation of this raudhoh hook method in its application process at RA Siti Fatimah is to practice in class A, which is to introduce hooks from her friends in clothes to her friends, Zahra, after reaching the target of her friends, Zahra continues on package B, which is entering the introduction of vocal groups (a, i, u, e, o), after that they enter the ng (cat) group, then enter the Koran group (nga, ngi, ngu, nge, ngo) and mosquitoes (nya, nyi, nyu, nye, nyo ). The last stage is the introduction of hooks with consonants.
Use of multispectral remote sensing data to map magnetite bodies in the Bushveld Complex, South Africa: a case study of Roossenekal, Limpopo.

&amp;lt;p&amp;gt;The use of remote sensing in mineral detection and lithological mapping has become a generally accepted augmentative tool in exploration. With the advent of multispectral sensors (e.g. ASTER, Landsat, Sentinel and PlanetScope) having suitable wavelength coverage and bands in the Shortwave Infrared (SWIR) and Thermal Infrared (TIR) regions, multispectral sensors have become increasingly efficient at routine lithological discrimination and mineral potential mapping. It is with this paradigm in mind that this project sought to evaluate and discuss the detection and mapping of vanadium bearing magnetite, found in discordant bodies and magnetite layers, on the Eastern Limb of the Bushveld Complex. The Bushveld Complex hosts the world&amp;amp;#8217;s largest resource of high-grade primary vanadium in magnetitite layers, so the wide distribution of magnetite, its economic importance, and its potential as an indicator of many important geological processes warranted the delineation of magnetite.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The detection and mapping of the vanadium bearing magnetite was evaluated using specialized traditional, and advanced machine learning algorithms. Prior to this study, few studies had looked at the detection and exploration of magnetite using remote sensing, despite remote sensing tools having been regularly applied to diverse aspects of geosciences. Maximum Likelihood, Minimum Distance to Means, Artificial Neural Networks, Support Vector Machine classification algorithms were assessed for their respective ability to detect and map magnetite using the PlanetScope data in ENVI, QGIS, and Python. For each classification algorithm, a thematic landcover map was attained and the accuracy assessed using an error matrix, depicting the user's and producer's accuracies, as well as kappa statistics.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The Maximum Likelihood Classifier significantly outperformed the other techniques, achieving an overall classification accuracy of 84.58% and an overall kappa value of 0.79. Magnetite was accurately discriminated from the other thematic landcover classes with a user&amp;amp;#8217;s accuracy of 76.41% and a producer&amp;amp;#8217;s accuracy of 88.66%. The erroneous classification of some mining activity pixels as magnetite in the Maximum Likelihood was inherent to all classification algorithms. The overall results of this study illustrated that remote sensing techniques are effective instruments for geological mapping and mineral investigation, especially in iron oxide mineralization in the Eastern Limb of Bushveld Complex.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
ЦИФРЛЫҚ БIЛIМ РEСУРСТАРЫН ОРТА МEКТEПТE ҚОЛДАНУ EРEКШEЛIКТEРI

The article defines the components use digital educational resources in secondary schools, in particular, motivationaltarget component of the digital learning; a substantial component of the digital education; operationally-activity component of digital learning; estimating the productive component of digital learning. Their content and problems to be solved in the educational process were determined. In order to teach computer science in the natural-mathematical direction, the e-learning project analyzed digital educational resources operating in several republics. Microsoft Office, Macromedia Flash, Corel Draw, Adobe Photoshop, Ulead GifAnimator, Adobe Premiere series software products, HTML documents, Macromedia DreamWeaver, MS FrontPage and as editing tools Microsoft Power Point, Prezi Desktop, Sway, SlideRocket, Google Docs, Slides 280, Photodex ProShow Producer, features of application of digital educational resources are considered. Keywords: digital educational resource, educational process, MS Power Point, Prezi Desktop, Sway, SlideRocket,
ТЕХНОЛОГИЧЕСКАЯ ПОДГОТОВКА КАК ЭЛЕМЕНТ ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ ШКОЛЬНИКОВ

The content of technological training should include knowledge about the basics of technological culture, laws and stages of scientific and technological development of civilization. The article examines the aspects of technological training in extracurricular work aimed at the successful adaptation of students in a high-tech environment, the realization of the existing personal potential and the conduct of work in the future, regardless of the chosen profession.
Library Automation in First Grade Colleges Affiliated to University of Mysore: A Study

The present paperprovides the status of library automation of first gradecollege libraries affiliated to University of Mysore. A structured questionnaire was used as the tool to collect basic inputs from college libraries to understand the present status. A total of 160 colleges were taken up for the study in which 135(84.37%)colleges responded,15 first grade college libraries did not have librarians and 10 librarians did not respond.The findings of the study reveal that 60(63.83%)college libraries are using open source software E-Granthalaya and KOHA software for library automation. Out of 135 colleges,29 (30.85%) college libraries are fully automated, 65(69.15%) college libraries are partially automated and 41(28.90%) libraries are not automated. The librarians have to attend intensive training programs on deputation or have to become proficient on their own in automation in order to provide effective and efficient services to users.
The effect of Using Flipbook-Based E-modules on Student Learning Outcomes (Peer Reviewer)

The creative innovation in education in the era of revolution 4.0 is the use of electronic-based teaching materials as a source of student learning. This study aims to examine the effect of using a flipbook-based e-module on transverse wave material with a one group pretest posttest design research design. The research method that has been used is quasi-experimental research design with one group pretest posttest design. The research sample was students of Sriwijaya University Physics Education. Data were analyzed using N-gain analysis, normality test, homogeneity test and Paired Sample T-test. The results showed that the posttest test results were higher than the pretest tests with an average of 33.28, while the normality test results obtained pretest data of 0.026 and posttest data of 0.257. Finally, the N-gain test results were obtained at 0.466 in the moderate category, it was concluded that there was an effect of using flipbook-based e-modules on dynamic electricity on student learning outcomes, so the use of flipbook-based e-modules was effectively used as teaching material on student learning outcomes.
Development of full-field deflectometry for characterization of free-form mirrors for space applications

We demonstrate that full-field deflectometry is a viable alternative to interferometry for the characterization of free-form mirrors. Deflectometry does not require the use of a CGH. Instead of measuring the surface height map, the deflectometer measures the surface slopes in two orthogonal directions using the phase-shifting Schlieren method [1]. The surface height map is then reconstructed by integration of the slope maps. We present two instruments. The first one can be mounted in the lathe for in situ measurement. The second is adapted for the characterization of large concave mirrors.
Some Simple Patterns

Regular expressions, taken to their extreme, can make you feel irregular. For many R programming tasks, only a few meta-characters need be used. Table 6-1 is from an excellent Loyola Marymount University website. In R, the regular expression will be enclosed in quotes and used in one of the seven functions listed in Chapter 9, “The Magnificent Seven.”
Micro-learning with technology and employee performance: role of employee competencies in emerging countries

The main objective of this study is to explore the link between micro-learning through technology and employee performance by focusing on the mediating role of employee competencies. Data for the s...
Implementasi Algoritma Boyer Moore Pada Kamus Perbedaan Kata Dalam Bahasa Inggris British dan Bahasa Inggris America

British English and American English are the smallest cultural products of development in English, which is known for its variants of English. British English and American English differ in pronunciation, spelling and vocabulary. For that we need an application that contains word differences in British English and American English. Where people and students can learn and understand the differences between the two languages. The difference application between British English and American English is used by all people and students by searching from an existing application in the application that has been made. And it can be understood if the public and students succeed in finding the differences between the two languages ??which have been determined according to the existing pattern, the right search for solutions in the application. Search for differences in British English and American English words is designed using the Stringmatching Method. Application development uses the UML design method and is built on the Android platform.
Winning Lottery Tickets in Deep Generative Models.

The lottery ticket hypothesis suggests that sparse, sub-networks of a given neural network, if initialized properly, can be trained to reach comparable or even better performance to that of the original network. Prior works in lottery tickets have primarily focused on the supervised learning setup, with several papers proposing effective ways of finding winning tickets in classification problems. In this paper, we confirm the existence of winning tickets in deep generative models such as GANs and VAEs. We show that the popular iterative magnitude pruning approach (with late resetting) can be used with generative losses to find the winning tickets. This approach effectively yields tickets with sparsity up to 99% for AutoEncoders, 93% for VAEs and 89% for GANs on CIFAR and Celeb-A datasets. We also demonstrate the transferability of winning tickets across different generative models (GANs and VAEs) sharing the same architecture, suggesting that winning tickets have inductive biases that could help train a wide range of deep generative models. Furthermore, we show the practical benefits of lottery tickets in generative models by detecting tickets at very early stages in training called early-bird tickets. Through early-bird tickets, we can achieve up to 88% reduction in floating-point operations (FLOPs) and 54% reduction in training time, making it possible to train large-scale generative models over tight resource constraints. These results out-perform existing early pruning methods like SNIP (Lee, Ajanthan, and Torr 2019) and GraSP(Wang, Zhang, and Grosse 2020). Our findings shed light towards existence of proper network initializations that could improve convergence and stability of generative models.
SCRAPBOOK TO INTRODUCE ALPHABET: A DEVELOPMENT RESEARCH FOR PRESCHOOL LEARNERS

This study was to develop a Scrapbook to introduce Alphabet for preschool learners. This research involved the teachers in Darul Uloom Kindergarten Pontianak Kota. The method of this research was development research which consists of three phases of ADDIE (analyze, design, and develop). The product is to introduce the Alphabet in an interesting and attractive way for preschool learners. The need analysis obtained the information of what the teacher and students need in teaching and learning the Alphabet by identifying the analysis of the teacher and the students' condition. The design of the Scrapbook focused on the criteria of the appropriate material, selecting the suitable decorations, and using the appropriate pictures and details in designing Scrapbook. The Construction of Scrapbook contains of 26 letter names and letter sounds. The model of Scrapbook is using a hard cover album, which consists of 26 letters and its phonetics as the main material. The product was also designed with the appropriate layouts, such as paper size, pictures' management (cropping and resizing), colors, shapes, and fonts in order to produce the product with the suitable standard of printing. The development of Scrapbook described what the constructs of the product were, including the fonts of the Alphabet, layout designs, contents, and teachers' validation. The result is the complete product of Scrapbook considered as very good and feasible to be used as a teaching and learning media to introduce Alphabet for preschool learners.
Blockchain-Based Health Care Applications

Blockchain has gathered a huge interest by several prime fields like e-business and health care application because of its confidentiality and reliability of communication through the authorities. The wide range of opportunities of the blockchain mechanism gains a day-by-day hype and the interoperability features make it more popular and efficient. To understand the possibilities of the blockchain in the health care field, we have to study and analyze the opportunities and threats of both health care and blockchain. One of the major challenges that needs to be considered is the efficient management of the highly complex health care system. The extraction of huge complex data sets from a large repository to recognize various hidden patterns and find a relationship between them is referred to as big data mining. The knowledge repository also includes heterogeneous medical health records and it will extract the information based upon pattern analysis and generate a graphical presentation from the available data source. The rapid growth of data with health care information was another major challenge in this field. The big data technology involves a recovery solution for this challenge that will store and process large, complex data unveiled by the traditional data processing system. The security concerns because of digital identity management can be handled by blockchain identity management. The Ethereum blockchain technology has given a new face to health care and related fields, to streamline and secure medical data management, drug and medical device tracking, and more.
Pedagogical component in training operational services employees

The object of pedagogical knowledge are those phenomena of reality that determine the development of an individual in purposeful social activity. Pedagogy tends to penetrate all vocations that impact individuals in the context of their education and education. The author of this article established the role of pedagogy in operational activity, drawing an important conclusion that the influence of the activities of employees of the operational services on Russian citizens is often associated with the council and education of the latter. The author explains the provisions of the current legislation that denote the pedagogical orientation of operational activities, emphasizing its importance not only in the process of training ordinary employees, but in the management of operational services. Pedagogy mobilizes and disciplines the work of an operational unit and the implementation of educational functions.
Progress of tourism risk research based on data from the Web of Science

Since the 9/11 attack in 2001, a series of catastrophic events, such as the SARS outbreak, the Bali bombings, and the Indian Ocean tsunami, have stuck the tourism industry worldwide and the issue of tourism risks has become increasingly prominent.The purpose of this study is to present a comprehensive literature review about the extant research on tourism risk.This study systematically reviewed 296 relevant research articles and proceeding papers based on the Web of Science Core Collection database.The articles published during 2001-2018 were selected.The findings indicate that: (1) Tourism risk research has received extensive attention from multiple disciplines and can be categorized into three periods underlying the number of literature and research hotspots: the nascent period (2001-2006), the accumulation period (2007-2012), and the development period (2013-2018).( 2) Tourism risk research is characterized by the trend of"one super actor and many strong actors"at the national and regional levels.The super actor refers to the United States at the center of the cooperative network, while the strong actors are Australia, the United Kingdom, and China (excluding Taiwan Province).(3) Research methods of tourism risk tend to be of high diversity, mainly covering four categories: descriptive analysis, interview, modeling, and statistical analysis.(4) The relevant research results of tourism risk mainly focus on five aspects of tourism risk connotation, tourist risk, destination risk, stakeholder risk, and tourism risk in macro context.The study proposed five directions of future research based on the current literature of tourism risk to facilitate the optimization of the research system: improving the theories of tourism risk, deepening the understanding of tourists'risk perception and behavior, broadening research themes on destination risk management, emphasizing the role of community residents in tourism risk management, and paying attention to the tourism risk under the marco context of the global market.
Study 1: A Service Robot Acceptance Model: Customer Acceptance of Humanoid Robots During Service Encounters

This study theoretically develops and tests a Service Robot Acceptance Model (SRAM), relying on the confirmation-disconfirmation paradigm, role theory, and a qualitative study with 63 users. This model assumes that users intuitively rely on alternative references to assess the interaction with service robots.