Reviewerly/exHarmony huggingface dataset:
Multi-Step Forecasting of Global Horizontal Irradiance Using Long Short-Term Memory Network for Solving Economic Dispatch Problem

Renewable energy resources are very effective to meet energy needs due to growing cost of fuel and decline in fossil fuel holds. Therefore, focus has shifted towards affordable sources of electricity. For incorporating solar energy into power system, there are two major challenges: accurate forecasting of solar irradiance and solving economic dispatch problem. This research proposes application of a novel technique known as long short-term memory (LSTM) network, belonging to recurrent neural network (RNN) class, for optimum day ahead scheduling of three conventional thermal generators and a solar photovoltaic power plant as a cost minimization problem. Multivariate multi-step global horizontal irradiance (GHI) forecasting models have been established using LSTM depending upon meteorological variables and historical data of GHI. The simulations for GHI prediction are being performed on dataset gathered in Meteorological Station of National University of Sciences and Technology (NUST), Islamabad, Pakistan. The method of dividing the required load demand between the generators available in power system while indulging all units, equality and inequality constraints of system is the economic load dispatch (ELD). The ELD problem is solved by lambda iteration (LI) method and LSTM technique with and without solar energy incorporation. The training and testing patterns of powers, total costs and power losses for LSTM are obtained by using LI method, whereas dataset of load is taken from NUST grid. By comparing the results for one day, it is observed that solar energy integration results in saving of operating cost and reduction of power loss.
Boosting over non-deterministic ZDDs

We propose a new approach to large-scale machine learning, learning over compressed data: First compress the training data somehow and then employ various machine learning algorithms on the compressed data, with the hope that the computation time is significantly reduced when the training data is well compressed. As a first step toward this approach, we consider a variant of the Zero-Suppressed Binary Decision Diagram (ZDD) as the data structure for representing the training data, which is a generalization of the ZDD by incorporating non-determinism. For the learning algorithm to be employed, we consider a boosting algorithm called AdaBoost⁎ and its precursor AdaBoost. In this paper, we give efficient implementations of the boosting algorithms whose running times (per iteration) are linear in the size of the given ZDD.
PRIVACY AND SECURITY CHALLENGES IN BIOINFORMATICS

In bioinformatics - where biology, computer science, and information technology merge - major advances in the field of molecular biology, coupled with advances in genomic technologies, have led to explosive growth in the biological information generated by the scientific community. The growth in the collection of genomic information has, in turn, led to a requirement for computerized databases to store, organize, and index the data and for specialized tools to view and analyze it. Consumer demand for genetic information to determine family ancestry and locate relatives has increased greatly during the past decade. Commercial companies evaluating the DNA of consumers have developed expansive databases with genomic information that can be used later for research and other purposes.
Blockchain Technology: Revolution from a Centralized to Distributed Systems

Blockchain, the foundation for Bitcoin, is a distributed ledger that keeps account of Bitcoin digital transactions (Tschorsch and Scheuermann in IEEE Commun Surv Tutorials 18:2084–2123, 2016). It is called a chain because additions and updates are recorded linearly and are linked together. This implies that the blockchain cannot be modified or updated secretly. The parties cannot reverse or amend the transaction after it has been encoded in the Blockchain and has become a part of the network without mutual consent. The data kept on the network will be secure, thanks to blockchain technology. Smart contracts are used to trade money or ownership, store data, make decisions, and communicate with other contracts on the blockchain. Smart contracts are bits of code that are written to do activities as a result of an event that meets the contract's developers' preset conditions. Blockchain technology has evolved into an all-encompassing solution for decentralizing transactions and establishing consensus and trust among peers from various authority domains. The blockchain's decentralized nature, also known as a distributed and immutable ledger, has allowed service providers to register, validate transactions via contracts, and transfer credits without the need for a third party. This paper will help researchers to understand the architecture and working of Blockchain technology with its advantages such as data security and data provenance.
Monotone Learning with Rectified Wire Networks

We introduce a new neural network model, together with a tractable and monotone online learning algorithm. Our model describes feed-forward networks for classification, with one output node for each class. The only nonlinear operation is rectification using a ReLU function with a bias. However, there is a rectifier on every edge rather than at the nodes of the network. There are also weights, but these are positive, static, and associated with the nodes. Our rectified wire networks are able to represent arbitrary Boolean functions. Only the bias parameters, on the edges of the network, are learned. Another departure in our approach, from standard neural networks, is that the loss function is replaced by a constraint. This constraint is simply that the value of the output node associated with the correct class should be zero. Our model has the property that the exact norm-minimizing parameter update, required to correctly classify a training item, is the solution to a quadratic program that can be computed with a few passes through the network. We demonstrate a training algorithm using this update, called sequential deactivation (SDA), on MNIST and some synthetic datasets. Upon adopting a natural choice for the nodal weights, SDA has no hyperparameters other than those describing the network structure. Our experiments explore behavior with respect to network size and depth in a family of sparse expander networks.
Information design to make an impact on health care quality – is a user-centred approach enough?

In three information design projects forms to support processes of different kinds were developed for health care organisations. In each case the purpose of the forms was to enable decision-making and communication between groups of people with different expertise. The paper discusses how the contexts in which the projects were carried out influenced, the outcomes developed, and their eventual uptake by the host organisations. It argues for focus both on users and the context of use in the design of even the most everyday documents, since such documents are often required support complex working practices within established organisational systems.
A Universal Training Algorithm for Quantum Deep Learning

We introduce the Backwards Quantum Propagation of Phase errors (Baqprop) principle, a central theme upon which we construct multiple universal optimization heuristics for training both parametrized quantum circuits and classical deep neural networks on a quantum computer. Baqprop encodes error information in relative phases of a quantum wavefunction defined over the space of network parameters; it can be thought of as the unification of the phase kickback principle of quantum computation and of the backpropagation algorithm from classical deep learning. We propose two core heuristics which leverage Baqprop for quantum-enhanced optimization of network parameters: Quantum Dynamical Descent (QDD) and Momentum Measurement Gradient Descent (MoMGrad). QDD uses simulated quantum coherent dynamics for parameter optimization, allowing for quantum tunneling through the hypothesis space landscape. MoMGrad leverages Baqprop to estimate gradients and thereby perform gradient descent on the parameter landscape; it can be thought of as the quantum-classical analogue of QDD. In addition to these core optimization strategies, we propose various methods for parallelization, regularization, and meta-learning as augmentations to MoMGrad and QDD. We introduce several quantum-coherent adaptations of canonical classical feedforward neural networks, and study how Baqprop can be used to optimize such networks. We develop multiple applications of parametric circuit learning for quantum data, and show how to perform Baqprop in each case. One such application allows for the training of hybrid quantum-classical neural-circuit networks, via the seamless integration of Baqprop with classical backpropagation. Finally, for a representative subset of these proposed applications, we demonstrate the training of these networks via numerical simulations of implementations of QDD and MoMGrad.
Task allocation based modified bacterial foraging algorithm for maximising reliability of a heterogeneous distributed system

modified bacterial foraging algorithm for allocation and scheduling tasks on processors and links with high reliability is proposed (MBFA). MBFA ensure high reliability without redundancy of processors or links by using an efficient and simple structure. MBFA is improved by adding an efficient model to deal with the weak solution (i.e., allocation with low reliability). Also a simulated annealing technique is integrated into MBFA in order to strengthen the search of best solution. The efficiency and effectiveness of MBFA are tested using random generated problems. MBFA is tested over the published approaches HPSO and GAA using density parameter (DS), number of nodes (N) and the communication to computation ratio parameter (CCR). The results show the superiority of MBFA over the published approaches in all test cases.
Identification of geochemical anomalies associated with Cu mineralization by applying spectrum-area multi-fractal and wavelet neural network methods in Shahr-e-Babak mining area, Kerman, Iran

The Shahr-e-Babak district, as the studied area, is known for its large Cu resources. It is located in the southern side of the Central Iranian volcano–sedimentary complex in SE Iran. Shahr-e-Babak is currently facing a shortage of resources, and therefore, mineral exploration in the deeper and peripheral spaces has become a high priority in this area. This work aims to identify the geochemical anomalies associated with the Cu mineralization using the Spectrum–Area (S–A) multi-fractal and Wavelet Neural Network (WNN) methods. At first, the Factor Analysis (FA) is applied to integrate the multi-geochemical variables of a regional stream sediment dataset related to major mineralization elements in the studied area. Then the S–A model is applied to decompose the mixed geochemical patterns obtained from FA and compare with the results obtained from the WNN method. The S–A model, based on the distinct anisotropic scaling properties, reveals the local anomalies due to the consideration of the spatial characteristics of the geochemical variables. Most of the research works show that the capability (i.e. classification, pattern matching, optimization, and prediction) of an ANN considering its successful application is suitable for inheriting uncertainties and imperfections that are found in mining engineering problems. In this paper, an alternative method is presented for mineral prospecting based on the integration of wavelet theory and ANN or wavelet network. The results obtained for the WNN method are in a good agreement with the known deposits, indicating that the WNN method with Morlet transfer function consists of a highly complex ability to learn and track unknown/undefined complicated systems. The hybrid method of FA, S–A, and WNN employed in this work is useful to identify anomalies associated with the Cu mineralization for further exploration of mineral resources.
STAAR Raw Score Conversion Tables

You can find STAAR raw score conversion tables listed below. The basic score on any test is the raw score, which is simply the number of questions correct. You can interpret a raw score only in terms of a particular set of test questions. Unlike raw scores, you can interpret scale scores across different sets of test
Interactive Media Development Based Macromedia Flash 8 on Themeliving Matter of Primary Class IV

This study aims to determine the validity and practicality ofFlash-basedinteractive media Macromedia 8 on the theme of care for life mahkhluk Elementary School fourth grade. This research using research methodologies Research and Development (R & D). Steps to develop interactive media-based Macromedia Flash 8 using ADDIE model development procedure (Analysis, Design, Development, Implementation. and Evaluation).The validity of the media obtained from the results of expert validation consisted of three experts and three experts media material. The results obtained from the first media expert 97.5%, 97.5% II media experts and media experts III 100%. Results obtained from the subject matter experts I 98.33% 98.33% Second material experts and subject matter experts 96.66%. The average results obtained from the three media specialists and subject matter experts 98.33% 97.77% criteria Very Decent Used. Practicality media obtained through the questionnaire responses of students and teachers Bendokatonkidul grade IV SDN, SDN 01 and SDN Tayu Purwokerto Wetan 01 on interactive media-based Macromedia Flash 8.The results of the questionnaire responses fourth grade students of SDN Bendokatonkidul 98.59%, Purwokerto SDN 01 and SDN 100% 01 98.78% Tayu Wetan. The results of the questionnaire responses of teachers Kela IV SDN Bendokatonkidul 100%, Purwokerto SDN 01 and SDN 95% 01 92.5% Tayu Wetan. Average of questionnaire responses by 99.12% students and teachers' questionnaire responses by 95.83% with the criteria Very Decent Used. The conclusion that interactive media-based Macromedia Flash 8 is valid and practical use on the theme of caring for sentient beings Elementary School fourth grade.
De Facto Engineering Standards

Abstract This chapter will focus on engineering standards that are “understood,” that are not placed in a formal document by a standards organization, and that can generate the statement: “Well, everybody knows that.” The definition of a de facto state of existence is described by the word “actual,” in Webster's Dictionary. The legal definition is found in Black's Law Dictionary and also uses the word “actual.” In the context of the case study in this chapter we find testimony of an expert that presents “common industry practice.” Although only general standards documents were admitted into evidence, the expert's testimony describing what amounted to a de facto industry standard was admitted.
Industry Standards in Computing Litigation

It is unlikely that a forensic engineer or an attorney will use what is in this chapter in their work. Why do we then include in this monograph a discussion of the monopoly case against Microsoft by the United States Department of Justice? The answer is that this chapter is included to demonstrate that an industry standard (a common practice, a de facto engineering standard) can emerge naturally in the market place through aggressive activities of one or more companies in a technology. In the case of the computing industry, the Windows operating system is a de facto industry standard. We can learn a great deal about studying such a de facto standard, the principal result being that we realize that once a de facto industry standard exists we will rarely see any innovations in the technology it represents; to try to improve on an industry standard that is well entrenched is an uphill battle with no committee to speak with in a standards-setting organization. Indeed, to speak with anyone would threaten the business base of the company that controls the standard.
PENERAPAN ACTION CONTROL UNTUK MENINGKATKAN KUALITAS LAYANAN PENGAJARAN PADA BRI CORPORATE UNIVERSITY CAMPUS SURABAYA

In today's modern era, competition among banking institutions is getting tighter. Almost everyone has taken advantage of banking services in transactions, whether in storage transactions, loans, or other financial transactions. Competition among banking institutions is increasingly stringent, requires every banking institution to pay more attention to the needs of consumers or customers.Good service is the only key to winning the competition in the banking world. This good service can be realized through good employee performance. Good employee performance can be realized through various things, such as training, giving incentives, giving satisfaction to employees and etc. Business entities have several ways of controlling employee behavior, one of the ways that can be used is implementing management control system. One form of control system is action control, ie controls performed on processes, ways and actions by employees in performing their duties.The purpose of this study is to analyze the implementation of action control to improve quality of teaching service at BRI Corporate University Campus Surabaya. Action control and service quality is the most supportive overall. By being able to control the behavior of employees then employees will be able to act correctly is by applying the maximum quality of service.
PERANCANGAN SISTEM INFORMASI MANAJEMEN UNTUK PARIWISATA DI JAWA TIMUR PADA AGEN PERJALANAN

At this time, travel agents not only provided her services to consumers but they should also be able to answer the needs of just about any desired consumers. If the consumer's wishes are met then the satisfaction of such services will be increased. The problem is generally a tour package that is sold to consumers is a tour package that was already previously designed so that tourist attractions, hotels, dining already determined by a travel agent instead of the consumer (ready made). In addition the price of package tours have also been determined by a travel agent, so it is less varied and can not adjust the budget consumer. The last issue is from a travel agent as a service that caters to consumers during a journey does not yet have a database about the information needs of tourism in East Java as well as systems that can make it easier to travel agencies to design packages tourism in East Java which can adapt to the desires of consumers. In this research will be designed the database and information system for tourism in East Java which can help travel agents in designing tourism packages. The objectives to be achieved in this research is to design a system of information on tourism in East Java to make it easier for travel agencies in designing tourism packages that suit both desire the desire of tourist attractions, hotels, places of meals, transportation, as well as the desired budget travelers. The steps in making a database from the information already collected into the database server in this study using a Microsoft Access database server 2013. The result of processing the database to display the table, query, form, and report to make it easier to find and manipulate information about the needs of tourism in East Java. Then perform system validation information to know if the information system is already well underway as desired.On the validation test results show the same value between the calculation of the manual with the calculation system, so it can be said the system already made is valid and can be used for the needs of travel agents. The existence of information systems, travel agents do not need a long time to search the desired tourism needs of consumers that is approximately 15 minutes, 30 minutes faster than using manual systems because all the data is already There are in the database, live match data which is in accordance with the wishes of the consumer. Time in putting together a package tour and doing the calculations did not take a long time that is approximately 5 minutes 40 seconds faster than using a manual system because the calculations are already automatically after the user entered data. The use of these information systems provide ease of travel agencies in conducting operational activities as well as security, service, efficiency can be increased.
Mailing list - Traffic Regulations Working Party

Address information in a tab-delimited format for import into database tools or spreadsheets, for Traffic Regulations Working Party
National ETD Repository Evaluation Using Web Analyzer

ETDs are the Swiss-army-knife which has unearthed the shades of grey by bringing forth the until now hidden research to the forefront of the world. ETDs powered by open source software like DSpace, EPrints build up information ecosystem for effective storage and retrieval of theses and dissertations which take years of hard work to culminate. Such systems need to be evaluated as its purpose gets defeated if users find it hard to retrieve desired information from it. Webometrics involves the study of the web through which one can analyze the number of hyperlinks, type and structure of the hyperlinks, website usage and its effectiveness. The present article is an attempt to assess the performance of online portal of the national ETD repository of India by using Web Analyzer Test Score (WATS). It also highlights the status of Open Access (OA) ETD repositories with respect to other OA content like research papers, conference papers, etc. along with exploring the software used for Indian ETD Repositories. The overall score of the webometric analysis was found to be 6.4.
ANALISIS KEEFEKTIFAN SISWA SEKOLAH MENENGAH BELAJAR DI RUMAH

Research and analysis conducted by the author this time talking about the of students Learning At Home.  In the era of technological developments such as today's students are required to be able to divide their time between learning by playing gadgetnya. It is intended that students can compete with thousands of other students who are in Indonesia and even in foreign countries. This study aims to determine the suitability of the theory of the effectiveness of student learning at home with the facts that occurred in the field. This research included in this type of research to find out information as well as the alignment of the theory which refers to the expert opinion in the field. objects in this study were students from two different educational levels in order to create sustainable results with theory and that happens on the field. The objects of this study are that the authors take some students from two different levels of education is high school education level xl class either sains or social and the junior high school level VII class or class VIII.
The ghost projects in Pakistan – South Asia Citizens Web

Dawn, December 1, 2008 “When I send my child to the market with Rs10 to buy something, I demand an account of the money when he returns home. Similarly, when the government spends my money, I have…
Self-censorship in post-Zia Pakistan – South Asia Citizens Web

The Pakistani state no longer forces the country's artists to comply with stringent political or moral diktats – but it doesn't have to