Reviewerly/exHarmony huggingface dataset:
MODEL AND METHOD FOR DETECTING COLORED OBJECTS USING MODIFIED RADIAL SYMMETRY TRANSFORMATION

Of great importance are the tasks of recognizing objects of a given shape and color on complex background in conditions of interference with high accuracy. In this regard, the development of effective algorithms for selecting objects that reduce the influence of noise component and reduce computational costs of performing operations in which the result will be suitable for subsequent analysis within the framework of the tasks being solved is an urgent task. This paper presents a model of objects and a method based on radial symmetry transformation for the problems of recognizing round-shaped colored objects in color images. Examples of such objects include the pupils of the eyes, traffic lights, car lights and light markers. The aim of the work is to increase the accuracy of detecting round-shaped colored objects in the images under interference conditions using modified radial symmetry transformation. The paper describes a model and a method for detecting objects in images, presents the results of numerical experiments that allow us to estimate the limits of applicability of the proposed method.
Assessment of Chemistry Laboratory Equipment Availability and Practice: A Comparative Study Between Damot and Jiga Secondary Schools

The project was designed to compare the laboratory equipment availability (facilities) and status of practical work between Damot senior secondary school and Jiga senior secondary school and their performance with the standard (average test value). All chemistry teachers and 30 students from each secondary schools a total of 84 respondents were involved. Closed ended questionnaire were prepared and descriptive survey method was employed to describe and one sample t-test method was used to assess the degree of availability of facility and the status of implementation and independent t-test was used to compare the degree of availability of facility and the status of implementation. Total average equipment availability and total average laboratory practice (Mean=2.09, sd=0.29, t(83)=-12.53, p&lt;0.05) is far from the test value (2.5). Average Laboratory equipment availability and laboratory practice in Damot high school is (Mean=2.31, SD= 0.221, n=43) had statistically significant difference from Jiga high school (Mean=1.87, SD=0.158, n=41), t(82) =10.611, p&lt;0.05, Cohen’s d=2.32. From the analysis of Chemistry laboratory equipment availability and laboratory practice in both Damot secondary school and Jiga secondary school were found in very low level and much far less than the average availability of chemistry laboratory equipment and status of laboratory practice. From the data analysis average chemistry laboratory equipment availability and status of laboratory practice of Damot secondary school is better than that of Jiga secondary school.
BEC scams on the rise

Nigeria has lost its position as the focus of business email compromise (BEC) scams, according to new research by Agari. Agari's survey of more than 9,000 incidents shows that fraudsters are operating from at least 50 countries and are now responsible for $26bn in losses each year.
Smart Transactions

Fully realized ACCP-based (Atomicity, Consistency,Concurrency, Permanency) online transactions would allow, first, toconnect and manage all associative input transactions to a singleoutput transaction, second, to eliminate any third party that is not aparticipant of transaction contract, third, to fully automate anexecution of multi-steps contracts with a possibility to track them onevery step, fourth, to promptly identify and extract any transactiondata, and fifth, to dynamically scale a transaction networkproportionally to the amount of its active participants.We propose a mechanism that allow every single participant of thetransaction network to dynamically manage any transaction on his orher own economic way.
Anomaly Detection via Eclarans Algorithm

Data mining is extrication of concealed prescient information from huge dataset &amp; furthermore an amazing latest innovation with incredible ability to break down significant data in the information warehouses. In this paper, Data mining is used to extract data from complete set of sample. Data objects which don’t agree to normal conduct or prototype of data set known as anomaly detection. We want to detect this anomaly by applying ECLARANS-DB-scan clustering. Outlier Detection in dataset has various implementations, for example, fraud recognition, modified marketing, quest for terrorism. In any case, utilization of Outlier Detection for different reasons for existing isn’t a simple undertaking. We introduce a framework for anomaly detection through ECLARANS-DB-scan clustering because this method is much efficient and easy as compared to the existing methods. We break down method to plainly recognize digital information from outliers.
Subseasonal Forecasts of Opportunity Identified by an Interpretable Neural Network

Earth and Space Science Open Archive This work has been accepted for publication in Geophysical Research Letters. Version of RecordESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing an older version [v1]Go to new versionSubseasonal Forecasts of Opportunity Identified by an Interpretable Neural NetworkAuthorsKirsten JMayeriDElizabeth A.BarnesiDSee all authors Kirsten J MayeriDCorresponding Author• Submitting AuthorColorado State University - Department of Atmospheric ScienceiDhttps://orcid.org/0000-0003-3582-8337view email addressThe email was not providedcopy email addressElizabeth A. BarnesiDColorado State UniversityiDhttps://orcid.org/0000-0003-4284-9320view email addressThe email was not providedcopy email address
Linear Algebra and Systems of Linear Equations

Numerous problems in engineering and science can be described or approximated by linear relationships. For example, combining resistors in a complicated circuit yields a system of linear relationships. Similarly, studying small deformations of rigid structures will reveal a system of relationships. In fact, it is difficult to think of any science or engineering field in which such relationships are absent. The study of linear relationships is a subset of linear algebra. This chapter provides a basic overview of some basic linear algebraic vocabulary and concepts that are important for later chapters. Since this text does not assume any prior knowledge of linear algebra, some of the more abstract mathematical concepts and proofs in this subject have been omitted to make the material more accessible. This book is not supposed to teach you linear algebra. It just summarizes basic concepts necessary to be proficient in the context of programming. Thus, the information in this chapter is in no way comprehensive, and it should not be considered a substitute for a comprehensive linear algebra course. By the end of this chapter you should have a sufficient grasp of the following: (1) a working knowledge of a variety of linear algebra concepts and calculations; (2) Python's functions for these concepts and calculations; (3) what systems of linear equations are and their relationship to matrices and linear transformations; and (4) how to use Python to compute solutions to systems of linear equations.
Classification

Classification is a supervised learning method for predicting a class label for a given example of input data. Although we introduced classification with MNIST, we work through the famous Fashion-MNIST dataset to delve deeper into the topic.
Database Programming

Databases are paramount for our day-to-day lives. Every day you will interact with some type of a database. If you go to a supermarket, each time the cashier scans an item, the cashier is looking up the price against a barcode using a database. At the same time, the database is updating its inventory to track its stock of goods. In an airport, if you go through customs, officers will scan your passport; they are looking up all your details in a database and instantly pulling up your information on their screen. All these aspects are possible through the availability of database management systems (DBMSs).
Learning Impact of a Virtual Brain Electrical Activity Simulator Among Neurophysiology Students: Mixed-Methods Intervention Study (Preprint)

<sec> <title>BACKGROUND</title> Virtual simulation is the re-creation of reality depicted on a computer screen. It offers the possibility to exercise motor and psychomotor skills. In biomedical and medical education, there is an attempt to find new ways to support students’ learning in neurophysiology. Traditionally, recording electroencephalography (EEG) has been learned through practical hands-on exercises. To date, virtual simulations of EEG measurements have not been used. </sec> <sec> <title>OBJECTIVE</title> This study aimed to examine the development of students’ theoretical knowledge and practical skills in the EEG measurement when using a virtual EEG simulator in biomedical laboratory science in the context of a neurophysiology course. </sec> <sec> <title>METHODS</title> A computer-based EEG simulator was created. The simulator allowed virtual electrode placement and EEG graph interpretation. The usefulness of the simulator for learning EEG measurement was tested with 35 participants randomly divided into three equal groups. Group 1 (experimental group 1) used the simulator with fuzzy feedback, group 2 (experimental group 2) used the simulator with exact feedback, and group 3 (control group) did not use a simulator. The study comprised pre- and posttests on theoretical knowledge and practical hands-on evaluation of EEG electrode placement. </sec> <sec> <title>RESULTS</title> The Wilcoxon signed-rank test indicated that the two groups that utilized a computer-based electrode placement simulator showed significant improvement in both theoretical knowledge (Z=1.79, &lt;i&gt;P&lt;/i&gt;=.074) and observed practical skills compared with the group that studied without a simulator. </sec> <sec> <title>CONCLUSIONS</title> Learning electrode placement using a simulator enhances students’ ability to place electrodes and, in combination with practical hands-on training, increases their understanding of EEG measurement. </sec>
Administrasi Keuangan

In organizing education, finance and financing is a very decisive potential and an inseparable part in the study of education administration and management. The financing and financial component at the level of the education unit is a production component that determines the process of implementing teaching and learning activities in schools along with other components. In other words, every activity undertaken by the school requires funds, whether realized or not. so that finance can be structured properly, it is necessary to have an administration in its management so that there is a person in charge.
CrowdRank

Public rating systems are difficult to score well. Voting systems tend to simply favor what is already popular. Averaging systems tend to have significant variance if there are not enough people scoring. CrowdRank assigns scores based on a "minimal defensible score" criteria. Each average score has its error calculated based on the sample size (number of submissions), and the bottom end of the range is used as the official score of the item in question.
A Non-Iterative Field Based Vector Quantization Algorithm

This article describes a new and innovative algorithm for quantizing vectors in a two dimensional space in a non-iterative way. Additionally, this technique produces an optimal number of quantized vectors, and hence, the knowledge of the number of quantized vectors is not needed beforehand.
A Robust Image Watermarking Technique using Gram SCHMIDT Orthogonalization

In this thesis, an innovative idea of watermarking technique is proposed based on Gram Schmidt orthogonalization. This technique can provide robust and improved imperceptible images for safeguarding the copyrights. Implanting process in this watermarking system uses certain recurrence locales of DCT to such an extent that inclusion of watermark bits causes the least picture contortion. In this way, the Gram-Schmidt orthogonalization is resolved to insert the watermark in the original picture for obtaining excellent picture quality. During the amendment of watermark into the bits having the specific frequency of the picture, bits involved in watermarking are not straightforwardly embedded into the recurrence coefficient; preferably, there is need to adjust the specific coefficients of the picture that depends on certain principles that builds the watermarking picture. The frequencies which are inserted are controlled by utilizing changed entropy discovering substantial excess territories. Moreover, the watermark is mixed before inserting to give an extra security. So as to confirm the proposed procedure, our strategy is tried. The trial results demonstrate that our procedure accomplishes higher imperceptibility and strength than the existing techniques. The watermark extraction gives more expected results to picture quality after various variety of attacks.
Returning to the Criterion of Falsifiability: Some Thoughts on the Article by S.Yu. Kolomiytsev

The article was written as a response to a previously published (Ideas and Ideals, 2018, No. 3) article by S.Yu. Kolomiytsev “About Unfalsifiable Scientific Statements and Ideas”. The author, agreeing with a number of positions of this article, discusses some of its ideas. Primarily, the criticism concerns the thesis that the criterion of falsifiability unjustifiably narrows the scope of knowledge identified with its help as scientific, and that there is such a type of knowledge that does not meet the criterion of falsifiability but it has a scientific status. According to the author of this article, for applying of the criterion of falsifiability, we must take into account some conditions. First, the required falsifiability of knowledge is potential, i.e. falsification does not have to be available just at this stage of the development of science. Secondly, this criterion is intended to solve the problem of demarcation of science and knowledge that lies outside of it, and may be less effective in other, even close cognitive situations. Thirdly, the qualification of a theory as non-scientific does not mean that it is certainly unacceptable or erroneous. From the point of view of the modern epistemological paradigm, not only the science but also other types of cognition may give reliable and useful knowledge. The article discusses the thesis of S. Yu. Kolomiytsev that some fundamental ideas (for example, the idea of the atom) originally were not falsified but were already scientific. The author justifies an alternative assessment: these ideas were initially true, since they corresponded to the objective reality, but at the same time they were not scientific, since they could not be developed by means of scientific knowledge. The reality of some object does not mean that all judgments about it automatically fall into the category of scientific; after all, metaphysics is also a doctrine of reality, although, as a rule, deeper than directly observable reality. Thus, arguments aimed at limiting the criterion of falsifiability actually refer to attempts to expand it to a range of problems that it is not intended to solve. One of the normative directions for the application of the criterion of falsifiability is the demarcation of science and pseudo-scientific theories; pseudo-scientific knowledge often has a “built-in” protection against falsification. The article describes some techniques of such protection.
Metamorphism of Limestones – Marbles, Calc-Silicates and Skarns

This second edition is fully updated to include new developments in the study of metamorphism as well as enhanced features to facilitate course teaching. It integrates a systematic account of the mineralogical changes accompanying metamorphism of the major rock types with discussion of the conditions and settings in which they formed. The use of textures to understand metamorphic history and links to rock deformation are also explored. Specific chapters are devoted to rates and timescales of metamorphism and to the tectonic settings in which metamorphic belts develop. These provide a strong connection to other parts of the geology curriculum. Key thermodynamic and chemical concepts are introduced through examples which demonstrate their application and relevance. Richly illustrated in colour and featuring end-of-chapter and online exercises, this textbook is a comprehensive introduction to metamorphic rocks and processes for undergraduate students of petrology, and provides a solid basis for advanced study and research.
The impact of framework conditions on Managing Authorities

This chapter discusses the impact of framework conditions on the administrative capacity of Managing Authorities, and offers possibilities for working within their constraints. Analysis shows that ensuring sound, consistent, and transparent legislation and regulation, including those related to procurement processes, can reduce administrative burden and increase investment stability, thereby contributing to investment management capacity.
Graph Analysis

Graph analysis is a data analytic technique for determining the strength and direction of relationships between objects in a graph. Graphs are mathematical structures used to model relationships and processes between objects.2 They can be used to represent complex relationships and dependencies in your data. Graphs are composed of vertices or nodes that represent the entities in the system. These vertices are connected by edges which represent the relationships between those entities.3
Auckland port to build hydrogen production, refueling facility

Ports of Auckland Ltd (POAL) in New Zealand has committed to building a hydrogen production and refueling facility at its Waitematā port, the first such installation in Auckland. The company, along with project partners Auckland Council, Auckland Transport and KiwiRail, will also invest in fuel cell electric vehicles – including port equipment, buses, and cars – as part of the project.
Polymorphism

When we work as individuals, we can only do so much. When we work together as a party, we can accomplish much more and use the unique talents that every member of the party has. While this is true in many life situations, it is especially true with role-playing games, and when you understand how to build a party using unique roles, you are applying object-oriented programming principles without even realizing it.
The impact of computer and internet at home on academic results of the Saber 11 national exam in Colombia

&lt;p&gt;The use of a computer and internet connection allows high school and university students to access more relevant information. However, there is no consensus on the effects of the use of these tools on academic results. This work evaluates the impact of computer and internet at home on the results of the Saber 11 test, a national exam taken by all students finishing their secondary education in Colombia, between 2017 and 2019. This impact was estimated from a pooled two-stage least squares (pooled 2SLS) model, applied to data from 1.578.460 Colombian high school students. We found that computer and internet at home had a positive impact on English language performance in the Saber 11 test in Colombia. This work allows a better understanding of the technological effects on educational achievement and provides information for the design of public policies for education in developing countries.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Rumus Hitung Eritrosit, Trombosit, dan Leukosit-Improved Neubauer

One (conventional) tool that is still used today to count erythrocytes, platelets and leukocytes is the Improved Neubauer chamber. This method is classified as a classic, but also very cheap, and easy to do in the examination of the count of blood cells. The counting chamber is specifically designed to count the number of erythrocytes, platelets and leukocytes with specific count zones. The area and volume of the zones used to count each cell tend to be different, requiring a separate formula
Distributed memory and the representation of general and specific information

This chapter describes a distributed model of information processing and memory and apply it to the representation of general and specific information. The model consists of a large number of simple processing elements which send excitatory and inhibitory signals to each other via modifiable connections. In general distributed models appear to provide alternatives to a variety of different kinds of models that postulate abstract, summary representations such as prototypes, logogens, semantic memory representations, or even linguistic rules. The chapter considers an alternative conceptualization: a distributed, superpositional approach to memory. It aims to show that distributed models provide a way to resolve the abstraction-representation of specifics dilemma. With a distributed model, the superposition of traces automatically results in abstraction though it can still preserve to some extent the idiosyncrasies of specific events and experiences, or of specific recurring subclasses of events and experiences.
MENARA KEMBAR PETRONAS SEBAGAI DAYA TARIK WISATAWAN DI MALAYSIA

Petronas twin towers is one of the tourist attraction in Kuala Lumpur. which is the icon of Malaysia country becauseit has a magnificent with 88 floors can be used to visit the uniqueness of this twin tower just to capture the moment like taking pictures. Petronas tower is a distinctive feature of other tourist destinations in Malaysia, this tower will remain standing majestic so will support tourism in Malaysia.
The Inherent Limitation of Model Based Approach of Physical Sciences to Understand Universe

In this paper, through logical and mathematical reasoning, I have shown that the current ways in Physical Sciences, especially Physics, are not only limited but may also be delusional. Moreover, if not corrected, Physical Sciences will always remain as framework for building explanatory models rather than describing the reality. Through a series of arguments, I propose a conjecture theorem – Dilemma Theorem of Scientific Models- which essentially implies that it is impossible for Physical Sciences to discover and claim the correct description of Physical World using current model based approach, hence, making them just an attempt to discover probable models and their applications, rather than a way to find true picture of Physical World.
How Question Characteristics Impact Answer Outcomes on Social Question-and-Answer Websites

Inducing more and higher-quality answers to questions is essential to sustainable development of Social Question-and-Answer (SQA) websites. Previous research has studied factors affecting question success and user motivation in answering questions, but how a question’s own characteristics affect the question’s answer outcome on SQA websites remains unknown. This study examines the impact of the characteristics of a question, namely readability, emotionality, additional descriptions, and question type, on the question’s answer outcome as measured by number of answers, average answer length, and number of “likes” received by answers to the question. Regression analyses reveal that readability, additional descriptions, and question type have significant impact on multiple measurements of answer outcome, while emotionality only affects the average answer length. This study provides insights to SQA website builders as they instruct users on question construction. It also provides insights to SQA website users on how to induce more and higher-quality answers to their questions.