Reviewerly/exHarmony huggingface dataset:
How many qubits are needed for quantum computational supremacy

Quantum computational supremacy arguments, which describe a way for a quantum computer to perform a task that cannot also be done by a classical computer, typically require some sort of computational assumption related to the limitations of classical computation. One common assumption is that the polynomial hierarchy (PH) does not collapse, a stronger version of the statement that P≠NP, which leads to the conclusion that any classical simulation of certain families of quantum circuits requires time scaling worse than any polynomial in the size of the circuits. However, the asymptotic nature of this conclusion prevents us from calculating exactly how many qubits these quantum circuits must have for their classical simulation to be intractable on modern classical supercomputers. We refine these quantum computational supremacy arguments and perform such a calculation by imposing fine-grained versions of the non-collapse conjecture. Our first two conjectures poly3-NSETH(a) and per-int-NSETH(b) take specific classical counting problems related to the number of zeros of a degree-3 polynomial in n variables over F₂ or the permanent of an n×n integer-valued matrix, and assert that any non-deterministic algorithm that solves them requires 2^(cn) time steps, where c∈{a,b}. A third conjecture poly3-ave-SBSETH(a′) asserts a similar statement about average-case algorithms living in the exponential-time version of the complexity class SBP. We analyze evidence for these conjectures and argue that they are plausible when a=1/2, b=0.999 and a′=1/2. Imposing poly3-NSETH(1/2) and per-int-NSETH(0.999), and assuming that the runtime of a hypothetical quantum circuit simulation algorithm would scale linearly with the number of gates/constraints/optical elements, we conclude that Instantaneous Quantum Polynomial-Time (IQP) circuits with 208 qubits and 500 gates, Quantum Approximate Optimization Algorithm (QAOA) circuits with 420 qubits and 500 constraints and boson sampling circuits (i.e. linear optical networks) with 98 photons and 500 optical elements are large enough for the task of producing samples from their output distributions up to constant multiplicative error to be intractable on current technology. Imposing poly3-ave-SBSETH(1/2), we additionally rule out simulations with constant additive error for IQP and QAOA circuits of the same size. Without the assumption of linearly increasing simulation time, we can make analogous statements for circuits with slightly fewer qubits but requiring 10⁴ to 10⁷ gates.
The current state and current issues of phase conservation of document collections of the RF libraries, museums and archives

The current state of phase conservation of document collections of the RF heritage institutions is analyzed. The achievements, difficulties and drawbacks in this area are discussed, in particular, lacking the comprehensive standards and technical regulations. Tasks to be accomplished to solve these problems are formulated; measures to develop standards and regulations are substantiated; expected information technological and economic efficiency of these measures is evaluated.
UofL Libraries: Web Design: Images

A guide to web design tools and techniques from the Web Management Team at the University of Louisville Libraries.
Universal topological representation of geometric patterns

We discuss here geometric structures of condensed matters by means of a fundamental topological method. Any geometric pattern can be universally represented by a decomposition space of a topological space consisting of the infinite product space of 0 and 1, in which a partition with a specific topological structure determines a character of each geometric structure.
Research Guides: USC Study Cafe - Virtual Study Sessions with Breaks for Health & Wellness: LoFi Music & Background Noise Generators

Connect with your fellow Trojans through our Virtual Study Sessions. Sessions will be guided Pomodoro study sessions with curated wellness breaks. Additional resources are linked on this guide.
TEACHING ENGLISH AT SMPIT ACEH BARAT

The purposes of this study were to describe the ways of teaching English at SMPIT Aceh Barat in terms of pre activity, main activity and post activity, to discover the methods or techniques used by the English teachers at SMPIT Aceh Barat, and to seek the difficulties faced by the English teachers at SMPIT Aceh Barat. This study used qualitative method in nature. The research subjects of this study were two English teachers at SMPIT Aceh Barat who taught at seventh grade, eight grade and ninth grade. Observation and interview were used to collect the data. The data were analysed and interpreted through qualitative procedures. The results showed that the teachers who teach at SMPIT Aceh Barat have to be always creative and innovative and the school has to provide the good facilities in order to support the teaching and learning process becomes enjoy and fun.
Custom .NET Data Type

This chapter covers implementation methods that a .NET custom data type inherits from the System.Object root .NET data type.
Practices to Enable Service Support

A service is essentially conceived, designed, built, and supported throughout its life cycle. Throughout the life cycle, two things happen: the services are supported, which necessarily means that services keep going as they should; and if anything breaks, then a break fix is applied. Then there are several changes that happen during its lifetime. Smaller modifications to a service are done on an ad hoc basis on the back of change management. Major changes undergo a continual improvement cycle. While all these activities are visible to stakeholders and highlight various achievements, there are silent players in the game that make it happen. These are the enablers that buttress the service support practices.
Literacy learning in the upper primary years. Fact sheet 9/2020 (for parents/carers).

In Years 3-6 children become more independent in their literacy learning. The depth and breadth of their knowledge and skills increases and they learn to use more complex literacy strategies. They also apply their literacy skills for learning in other school subjects and for exploring their interests outside of school. In this fact sheet, we summarise guidance from the UK-based Education Endowment Foundation and the Australian Evidence for Learning (E4L) Group.. This guidance aligns well with the Australian Curriculum. We also provide some practical ways that parents and carers can help children in years 3-6 to further develop their literacy.
Filipe Rhodes da Fonseca | All Apps | Here you can find a link to all my active software projects.

Filipe Rhodes da Fonseca | All Apps | Here you can find a link to all my active software projects.
Pengaruh Variasi Tekanan Vacuum terhadap Penyimpangan Pembentukan Polycarbonate pada Proses Vacuum Forming

The thermoforming process is one of the oldest and most widely used methods of forming plastic materials in the industrial world. The process is quite simple and can be used in the formation of a product with various types of materials, one of which is a polymer or plastic which has thermoplastic properties. One of the simpler thermoforming methods is vacuum forming. This method is done by applying heat treatment to the plastic sheet until the plastic becomes soft (it has not yet reached the melting point), then it is formed into a mould by applying suction pressure. In this research, a plastic sheet with the type of polycarbonate (PC) was used as a test material measuring 500 mm x 300 mm with a thickness of 1.5 mm. The heating temperature is set at 165°C and to print polycarbonate a vacuum pressure is used which is varied into three variations of pressure, namely: -0.13 Bar, -0.26 Bar and -0.39 Bar. From the research, it was found that the printed results on polycarbonate sheets with a thickness of 1.5 mm, which had the smallest deviation or difference in dimensions with the print, were a pressure of -0.39 Bar.
Bayesian inference for polycrystalline materials

Abstract Polycrystalline materials, such as metals, are composed of heterogeneously oriented crystals. Observed crystal orientations are modelled as a sample from an orientation distribution function (ODF), which determines a variety of material properties and is therefore of great interest to practitioners. Observations consist of quaternions, four‐dimensional unit vectors reflecting both orientation and rotation of a single crystal. Thus, an ODF must account for known crystal symmetries as well as satisfy the unit length constraint. A popular method for estimating ODFs nonparametrically is symmetrized kernel density estimation. However, disadvantages of this approach include difficulty in interpreting results quantitatively, as well as in quantifying uncertainty in the ODF. We propose to use a mixture of symmetric Bingham distributions as a flexible parametric ODF model, inferring the number of mixture components, the mixture weights, and scale and location parameters based on crystal orientation data. Furthermore, our Bayesian approach allows for structured uncertainty quantification of the parameters of interest. We discuss details of the sampling methodology and conclude with analyses of various orientation datasets, interpretations of parameters of interest, and comparison with kernel density estimation methods.
Effect Of Digital Queuing App For Covid-19 Prevention In The Grocery Consumption @ Tamilnadu: A Randomized Trial

Digital Queuing App is called the future of queuing and a touchless experience that aims to eliminate the pain ofwaiting. It allows the ease of entering a virtual queue through a mobile application. The customers can choosetheir desired service branch, get directions, receive SMS / Text message notifications and take a ticket beforethey arrive in supermarkets. Groceries and other supermarkets around the world must be operating throughoutthe global pandemic. At this current scenario, dropping the risk of infection both in supermarkets and in queuesoutside the stores by using social distancing is very essential. There are so many issues faced by the customerswhile shopping for essentials and groceries because of lack of counters, increasing arrival rate of customers,time lapse for standing in queue and paying the bills at this Covid period. The Digital Queuing App allows thesupermarkets to control the number of people within the store and reducing the people waiting outside the storeby using virtual queuing system. This paper examines the awareness of Digital Queuing App and its essentials atthis social distancing scenario due to Covid period.
How to Identify Speech when Translating Unpunctuated Poetry

A large proportion of (post)-modern poetry contains no or hardly any punctuation. In ourcontribution, we will investigate how well punctuation information can be recovered for postmodernpoetry based on the information contained in the text and speech of free verse poems.We use the world's largest corpus of spoken (post-)modern poetry from our partner lyriklinewhich contains the corresponding audio recording of each poem as spoken by the original authorand features translations for many of the poems. We identify lines that contain a phrase breakin the middle of the poetic line, which may already be helpful for philological analysis on onehand, and identify the position of the break in the line on the other hand. We select those poeticlines that contain one or more punctuation characters that typically indicate a phrase break inpoetry (.,;:!?/) somewhere in the middle (rather than only at the end of the line) as our targetclass. We train a neural network (bidirectional recurrent neural network (RNN) based on gatedrecurrent units (GRU) with attention) that combines audio and textual features to identify thepunctuation with the goal of applying it to reconstruct them within a corpus of unpunctuatedpoems. Our results clearly indicate that speech is helpful for recovering the constituency structureof post-modern poetry that is partially obfuscated by missing punctuation.
An Economic and Philosophical Critique of the “Beauty of Finance”

The “Beauty of Finance” refers to the aesthetic experience in discovering the hidden symmetry of finance, and it particularly offers help to the creative understanding of the allocation of economic resource and the creation of life necessities. The term was first proposed by Robert J. Schiller in his book Finance and the Good Society. The “Beauty of Finance” involves three characteristics: promoting human being’s pursuit of new freedom, seeking the maximum share of wealth by enhancing close connections through “married deals”, and achieving social diversity through serving both personal and social needs.Whereas the finance presents its beauty, it also cannot avoid the impact of evil. Capitalism reproduction is closely related to the elitism of power both logically and historically, and the space-temporal field in the capital financial power system which functions as a realistic product of capitalist reproduction is hard to be promoted in the elites’ spiritual creativity. Moreover, there is a positive feedback between the totality of the space-temporal field and the elitism of power, because the market power owned by elites promotes the formation of the capital financial power system as follows. The financial practitioners form the visible carrier of capital, their moving and marrying activities form the visible flow of capital, and the international capital financial power system constitutes the overall framework of the invisible modern international financial activities, thus maintaining the hidden chains between creditors and debtors and forming the invisible soul of capital power.Three dimensions mentioned above is hidden by the triple theoretical dilemma in the “Beauty of Finance”: the concentration of capital power and high capital return under the law of profit rate decline; social wealth division between the capital accumulation and poverty accumulation; the financialized world as a world of financial colonization in essence. Financial colonization is further embodied in the following three aspects: capital plunders the resources of less developed and underdeveloped countries and regions; capital plunders social labors in labor-intensive industries; and capital plunders labor force in labor-intensive countries and regions. Therefore, financial colonization is essentially a domination of international capital financial power over the living world. In a deep level, Schiller’s “Beauty of Finance” demonstrates an illusion. Nevertheless, we agree with Schiller’s view, as it reveals the deep contradiction in the financialized world. Building a highly adaptable, competitive and inclusive modern financial system needs the aesthetic negation of finance, and only by this can our international capital and financial power system in the 21st century sail out with Chinese characteristics.
Design and Implementation an OpenMCP distributed collaborative container platform for flexible scaling and service delivery

Recently, many companies have been introducing micro-service architecture framework technology to increase development productivity and portability. Google's Kubernetes is a representative micro-service architecture framework that introduces the concept of clusters to provide flexible expansion and services[1, 2]. Kubernetes applies technologies such as Scheduling and Load Balancing on a cluster-by-cluster basis, and has the flexibility to add nodes or move services within a single cluster. However, it does not provide multiple-cluster services scheduling, load balancing or flexible dynamic cluster add/delete technologies. Thus, OpenMCP(Open Multi-Cluster Container Platform) was designed for flexible expansion and service delivery between Kubernetes based Multi-Cluster. Key features of OpenMCP include multi-cluster resource collection, resource analysis, scheduling, load balancing, Auto Scaling, Cluster Synchronization, Dynamic Policy, Domain Name Server (DNS) management.
Second Language Acquisition and Corpora

The field of corpus linguistics emerged around the same time as second language acquisition (SLA) when computers became more accessible. Thus, while SLA research has valued the contribution of corpus data, corpora have played a more marginal role in examining second language knowledge and use. Corpus linguists also began to realize that they could expand the range of possible analyses if they could annotate corpora in ways that reflected our theoretical understanding of language. Over the last few decades, the tools that have been developed by corpus linguists and natural language processing researchers have become quite sophisticated and are now able to analyze corpora containing billions of words. Early learner corpus studies were met with skepticism by many SLA researchers for other reasons than divergences in opinion about what can be considered as ‘good data’. The chapter also presents an overview of the key concepts in this book.
Autonomous Mobile Robot Using a Monocular Camera without Map Building in Advance

This paper introduces an autonomous mobile robot system based on a monocular camera that travels to destinations without any map building in advance. The mobile robot system selects velocity commands based on action policy trained by deep reinforcement learning. The input state of the trained action policy is depth information acquired from struct2depth using the monocular camera. Also, localization of the robot is performed by online visual SLAM using the monocular camera. This paper describes the system integrating velocity command selection, depth estimation, and localization. The proposed system configuration and preliminary experiments are provided in the paper.
Application of Employee Performance Assessment and Monitoring at Pt. Ebdesk Teknologi Using Task Management Method

Employee performance appraisal is an activity that is certainly always carried out by everycompany to measure how far the performance that employees have given to the company. Performanceappraisal by utilizing information and communication technology has transformed manual appraisal into anapplication-based integrated system with various platforms. Performance appraisal conducted by PT. EbdeskTechnology is currently based on reports from each division leader that records employee performance resultsbased on the tasks assigned by the leader to each employee, by designing a web-based employee performanceappraisal system, which is expected to produce performance reports that can be carried out companybenchmarks in assessing the performance of employees. Web-based employee performance appraisalapplication as a tool to support the process of scheduling and setting the field and is expected to be anemployee's ground control in carrying out their duties. At the end of this paper, the author wants to build aweb application that can provide valid employee performance reports based on the activities carried out byemployees in the application, which are expected to help companies use this system to assess employeeperformance
NOISE BOOSTED THIRD TERM BACKPROPAGATION ALGORITHM - INERTIA AND CHEBYSHEV ORTHOGONAL POLYNOMIAL

In this paper, the noise boosted modified third term backpropagation algorithm using inertia employed to train the neural network for small size dataset. The modified backpropagation algorithm contains the third term called inertia, a physical component that boosts up the network to better learn the pattern among the data. It also helps to reduce the problem called enmeshment of local minima. The third term inertia expanded in the form of Chebyshev orthogonal polynomial first order which makes the term as a linear independent one. The Overfitting problem, which means the network started to memorize the relationship between input and output, instead of learning the pattern among the dataset. To avoid overfitting, randomly generated noise is added to the input samples, one form of generalizing the network helps to improve the accuracy of testing samples in a better way. This work, tested the performance of the proposed Noise Boosted Modified Backpropagation algorithm with Inertia for the experimented dataset and it shows better performance compared to the standard backpropagation algorithm and standard backpropagation algorithm with momentum. The Proposed method experimented with multiclass classification datasets such as wheat dataset, iris dataset, Pima Indian diabetes dataset, breast cancer dataset, and wine classification dataset taken from the UCI machine learning repository. The performance of the proposed algorithm proved by presented the statistical measures obtained from the confusion matrix and applied the statistical test called McNemars test used to compare the performance of the two different algorithms on a single dataset.
Control of the Formation of Elements of Functional literacy in the Framework of Natural Science Courses

The article analyzes the normative documents that serve as the basis for the construction of control measuring materials, discusses current trends in the selection of content for control and evaluation procedures, approaches to the formulation of tasks used in the framework of international monitoring studies of the quality of education and state final certification, provides examples of tasks from various subjects of the natural science cycle; the article describes the current state of natural science education in terms of the results of Russian schoolchildren in international comparative studies of PISA and TIMSS; identifies possible reasons for insufficient results and suggests ways to improve them; analyzes the opinions of various experts on the current state and prospects for the development of school education, and discusses the feasibility of shifting the emphasis in Russian education towards a competence-based approach.
Information extraction from images

The physical basis for collecting information on the physical environment by various remote sensing methods is briefly discussed and the role of imaging sensors is shown. Image interpretation is described in terms of a ‘concise description’ of the scene represented by the image and the importance of a priori information or knowledge is pointed out. The relative importance of temporal, spectral and spatial data for image interpretation is discussed. Imagery data are often used in digital form. Imaging systems must therefore be characterized in terms of their resolving power and their geometrical and radiometrical quantization. Some of the effects caused by quantizations are briefly discussed, and the necessity of formulating spatial resolution as a statistical problem is stressed. A broad description of a study using computer-simulated imagery is given. A photographic image with good ground resolution (approximately 10 cm) was digitized and filtered using a digital computer. The resulting imagery data were used for generating photographic products having ground resolutions ranging from 0.2 m to 80 m. These products were used both for comparison with satellite (Landsat) images and for conducting interpretation tests.