Reviewerly/exHarmony huggingface dataset:
PROSEDUR OPERASIONAL PENGGUNAAN SISTEM APLIKASI INAPORTNET DI PT. PELAYARAN BAHTERA ADHIGUNA CABANG CILACAP

Web-based applications are applications that have acces from web browser or internet network. It also software to support business at PT. Shipping Bahtera Adhiguna Branch Cilacap. althougt to oprate this aplications is very easy, but it also have weakness like we have a good signal to acces this aplication because without a good signal we can not use this aplication.Based on data collection conducted during land practice Practice the author user several methods such as observation methods,interviews, and document analysis as well as sourches and data type. From the results writer haveconcluded that, the application useat PT. Shipping Bahtera Adhiguna Branch Cilacap in supporting ship service is divided into three Inaportnet is an open and neutral electronic portal to facilitate the exchange of data and information on port services in a fast, safe, neutral and easy way that integrates with relevant government agencies.Keywords: Information System Web, Inaportnet
THE IMPLEMENTATION OF CAKE APPLICATION IN LEARNING ENGLISH SPEAKING SKILLS

In this modern era, technology is really important to use in daily life. Nowadays technology used by young learners for study and it can help teachers and students execute learning activities. There are several apps currently available that can make it easier for students to learn, one example of the application to learn speaking is cake application. Speaking is one of the most important skills in learning English and a skill practiced in speaking is how to pronounce words properly and correctly. As mentioned earlier, there are several applications to enhance students' ability to learn speaking, one of them is cake application. Cake application is application that can be used for learning English. Cake Learn English for Free is developed by Playlist Corporation Cake - Learn English for Free in the category of Education. There are several features in this application such as watching short movie and practicing speaking by using dialogue. This study is aimed to find out: (1) the use of Cake application in learning speaking; (2) students’ responses toward Cake application as a learning media; and (3) benefit of Cake application in learning speaking. This is a qualitative research. The instruments on this research used questionnaire and interview. The findings indicate that the students are comfortable and interested to learn speaking using cake application.
Subject Guides: ORGA 1070 : Achieving Service Excellence: Foundations

This guide provides access to quality resources relevant to the topics covered in NSCC's ORGA 1070: Achieving Service Excellence course. It is a collaborative effort of NSCC Organizational Learning and NSCC Libraries.
LBCC LibGuides: School of Career Technical Education: Baking & Pastry Arts

This guide highlights the course- and discipline-specific guides for the offerings in the School of Career Technical Educations. In each guide you will find the methods for finding books and other resources curated by the LBCC Librarians.
LibGuides: MS Writing Tools: TEA G6

Tips and tools for writing in Middle School in all subjects Topic Evidence Analysis Sentences
Kan artificiell intelligens fatta patentbeslut? En analys av möjligheten att automatisera patentbeslut

Digitalization in our society is rapidly extending into new areas. The development opens up for many possibilities but also brings a number of challenges. Processes that were earlier dependent on manual procedures can now be managed automatically. This can for example be carried out through automated decision-making within the public administration. For more complicated tasks AI can extend the possibilities but it has not yet been used within the Swedish public administration. AI has also led to discussions within the legal area of intellectual property, resulting in speculations regarding the possible development for the Swedish Intellectual Property Office. This thesis aims to analyze how the law enables and limits the incorporation of AI and automated decision-making in the patent cases managed by the Swedish Intellectual Property Office. The analysis is based on the rule of law.The rule of law is an important part of the public administration. Fundamental principles necessary to maintain the rule of law is for example the principles of legality and objectivity. It is also important that the administration remains transparent and effective. Automated decisions can affect the rule of law in both a negative and positive way. The applicable law enables the use of automatic decisions. However, the regulation does not seem to be appropriately adjusted to encounter the challenges brought by digitalization. This might limit the compliance with the rule of law. By incorporating AI in the decision making one could expect increased effectivity but also further difficulties with maintaining the transparency.The assessment in patent cases involves a formal examination as well as a technical examination. Based on the decisions that are already subject to automated processes the formal examination appears to be the easier one of the two to carry out through an automated procedure. The technical examination is characterized by complicated assessments whose complexitymakes it difficult to completely manage automatically. These assessments require language skills and an analytic capability that is highly associated with AI.To determine if it’s legally possible to introduce automated decision-making in patent cases it is therefore crucial to consider if the use of AI can be implemented without violating the rule of law. The main challenges are how to ensure that transparency is guaranteed as well as that the objectivity is maintained throughout the process.
Notice of Violation of IEEE Publication Principles: Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation

Notice of Violation of IEEE Publication Principles “Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation” by Xu-hui Chen, Haq Ejaz Ui, Chengyu Zhou in the Proceedings of the 18th International Conference on Computer and Information Science (ACIS), December 2019 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles. This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission. Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article: “Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation” by Vikram Mutneja, Dr. Satvir Singh in the International Journal on Computer Science and Engineering (IJCSE), Vol. 9 No.05, May 2017 The following topics are dealt with: feature extraction; learning (artificial intelligence); Internet; convolutional neural nets; pattern classification; Big Data; social networking (online); object detection; image classification; regression analysis.
Yale University Library Research Guides: Yale Library Emulation Viewer: Available CD-ROMs

A guide to accessing emulated materials in the General Collections A current list of CD-ROMs from YUL's circulating collection available via emulation
Mis)use of Scientific Measurements in Forensic Science

Forensic science error rate studies have not given sufficient attention or weight to inconclusive evidence and inconclusive decisions. Inconclusive decisions can be correct decisions, but they can also be incorrect decisions. This can occur when inconclusive evidence is determined as an identification or exclusion, or conversely, when same- or different-source evidence is incorrectly determined as inconclusive. We present four common flaws in error rate studies: 1. Not including test items which are more prone to error; 2. Excluding inconclusive decisions from error rate calculations; 3. Counting inconclusive decisions as correct in error rate calculations; and 4. Examiners resorting to more inconclusive decisions during error rate studies than they do in casework. These flaws seriously undermine the credibility and accuracy of error rates reported in studies. To remedy these shortcomings, we present the problems and show the way forward by providing a corrected experimental design that quantifies error rates more accurately.
The Effectiveness of Using Authentic Englsih Youtube Media in Improving Students’ Oral Reading

This study aimed at finding out whether using YouTube media can sigficantly improve students’ oral reading in three aspects; rate, fluency, and accuracy. A pre-experimental study with one group pretest-posttest design was undertaken by giving the students oral reading test. The sample of this study was 19 students of VIII-1 class of SMP 14 Banda Aceh. The result showed that the students’ oral reading scores were significantly improved from 46.93 in the pre test to 71.45 in the post test. The findings of this study revealed that t-test value was 17,832, while the t-table value was 2.120. It means the t-table value was lower than the t-test value (t s =17,832>t t = 2.120). In conclusion, there was a significant improvement on students’ oral reading ability after they were taught by using YouTube. The result, thus, explains that Youtube can also be useful in improving oral reading in EFL classrooms.
Control method of wind-solar low power energy plant

Abstract The approach to providing private households, remote industrial objects and other consumers with electric power by hybrid renewable energy power plants is much of interest nowadays. Thus, it is currently important to synthesize control algorithms for increasing energy efficiency of hybrid renewable energy power plants. Control algorithms have to ensure efficient performance and provide maximization of electric generator parameters. Moreover, one of the objectives of control algorithms is limitation of generated power to secure nominal operational parameters of plant’s elements. It is required that controllers of different parts of hybrid energy plants operate consistently.
LibGuides: A Teen's Guide to Free Programs and Community Resources: Tech Resources & Library Programs

This is a Libguide designed for teens experiencing economic challenges living in Alameda County, California
Subject Guides: Public Domain & Creative Commons Images: So Many Images!

Looking for images to use in your classes or Brightspace? There are millions of images in the public domain that have no known copyright restrictions, or that have a Creative Commons license, and can be used for free without permission.
THEORETICAL BASIS OF FORMATION OF SOCIO-PROFESSIONAL SELF-DETERMINATION OF HIGH SCHOOLS IN THE CONDITIONS OF PRE-UNIVERSAL TRAINING

The article reveals the theoretical aspects of the formation of social and professional self-determination of high school students in the conditions of pre-university training. Particular attention is paid to the laws, principles and factors of this process. Knowledge of the theoretical foundations of the process of social and professional self-determination is the key to high-quality preparation of senior schoolchildren for a conscious and informed choice of profession.
A Study on Learner Perceptions and Satisfactions of Level-Differentiated English Education in College: Focused on the Case of C University

This study aims to examine the learner perceptions and satisfactions of the level-differentiated college English classes and suggests more effective education program based on the survey results. The level-differentiated English program was designed to correspond to students’ needs and abilities and carried out as a pilot study. The classes were offered for four terms(20hours/ term), and each term had a six-tiered course. An online questionnaire was administered to 205 students. The results show that almost all the students were quite satisfied with the adequacy of the placement test. However, there was not statistically meaningful differences in students’ satisfaction with the level test. Students in lower levels such as level 1 and 2 were highly satisfied with the class operation and course in general, and seemed to get more benefits from the level-differentiated classes than intermediate and high level students. This result implies the level-differentiated curriculum is more necessary and effective for lower level students.
Analisis Interkoneksi Jaringan IPv6 Terhadap IPv4 Dengan Tunnel Broker Berbasis Web

Which is IPv4 only 32 bits (4 bytes) there is a weakness in the configuration is manually implemented or by Dinamyc Host Configuration Protocol (DHCP). DHCP is use for allocation convenience of IP (Internet Protocol) addresses in a network dynamically. The addresses total can be achieve 4.294.967.296 addresses. Even though the total address reaches 4 billion, the real it is not up to 4 billion addresses, because there are some limitations or restrictions that make the addressing few, so as the implementation only achieve a few hundred million. In this research, IPv6 as a new standard is capable to interconnect with IPv4 because IPv6 is not compatible in IPv4. For that need a certain mechanism let IPv6 can interconnect with IPv4. The methodology used by using a transition mechanism from IPv4 to IPv6 such as Dual IP Stack, Tunneling, and Protocol Translation. The results of research will tunneling caption IPv6 over IPv4 make IPv6 package with IPv4 package in the encapsulation process, so that IPv6 package treated as IPv4 package others. Then easily the IPv6 package can be sent through IPv4 network using a tunnel broker.
PENERAPAN MODEL PEMBELAJARAN MAKE A MATCH DALAM UPAYA MENINGKATKAN HASIL BELAJAR EKONOMI PESERTA DIDIK

Existing problems in the Teluk Betung SMAS Taman Siswa are (1) the low economic learning outcomes of students (2) the lack of activity levels of students in the learning process which causes the learning process to be less active / effective and (3) the  low interest student learning on economics. The purpose of This study was to improve learning activities and economic learning outcomes of the X-class students of Taman Siswa SMAS Science School in TelukBetung Academic Year 2018/2019 using the Make A Match learning model. The type of research used is classroom action research (CAR) which consists of four stages, namely planning, implementation, observation and reflection. This research was conducted in two cycles by applying the Make A Match learning model. The subjects in this study were students of class X in TelukBetung Taman Siswa SMAS Science School. From the results of the study, it was found that applying the Make A Match learning model can increase the activity and learning outcomes of class X IPA students with an average value in cycle 1 which is 58.54 which has an increase of 69.17 in cycle 2. Thus, it can be concluded that (1) To find out whether the application of the Make A Match learning model can improve the economic learning activities of class X students of Taman Siswa SMA Science in TelukBetung 2018/2019 Academic Year (2) To find out whether the application of Make A Match learning models can improve the economic learning outcomes of Grade X IPA students Taman Siswa School SMAS Academic Year 2018/2019.
Alice's Coping Behavior With World Dualism Reflected In Alice In Wonderland (2010) Movie By Tim Burton : An Individual Psychological Approach

The main objectives of this research are: 1) to identifying indicators of world dualism in the film Alice in Wonderland (2010), 2) to describing how Alice overcomes world dualism, and 3) to explaining the underlying reasons why the authors state the story of world dualism in the film Alice in Wonderland (2010 ). Researchers use qualitative methods. Researchers used two data sources, namely: primary and secondary. Primary data source is taken from the film Alice in Wonderland (2010) by Tim Burton. Sekuder data is taken from supporting data from other sources relating to research conducted by the author such as literature books, articles, journals, from a lot of information relating to films from other reference books and the internet. The technique of analyzing data uses qualitative methods. Based on the analysis that has been done, the research results obtained by researchers are: 1) Schizophrenia mental disorders make Alice have excessive imagination can’t even distinguish between imagination and reality, 2) World dualism and passing through events in Wonderland can make Alice return to a bolder person, confident and responsible in solving problems.Keywords : Alice in Wonderland (2010), Individual Psychology, World Dualism.
EDUCATIONAL STRATEGIES OF RUSSIAN STUDENTS IN THE CONTEXT OF THE CORONAVIRUS PANDEMIC: IMPACT ON EDUCATIONAL SUCCESS

EDUCATIONAL STRATEGIES OF RUSSIAN STUDENTS IN THE CONTEXT OF THE CORONAVIRUS PANDEMIC: IMPACT ON EDUCATIONAL SUCCESS
Claim Models: Granular and Machine Learning Forms

The purpose of this paper is to survey recent developments in granular models and machine learning models for loss reserving, and to compare the two families with a view to assessment of their potential for future development.This is best understood against the context of the evolution of these models from their predecessors, and the early sections recount relevant archaeological vignettes from the history of loss reserving.However, the larger part of the paper is concerned with the granular models and machine learning models. Their relative merits are discussed, as are the factors governing the choice between them and the older, more primitive models.Concluding sections briefly consider the possible further development of these models in the future.
Application of Contraction Conditions

The topological options of the objects or digital image footage square measure characterized by digital topology. A digital image image may be a distinctive arrangement of numbers that square measure non negative. moldering {an image a image} picture into its constituent elements and investigation its many characteristics with elementary components is usually coined as digital image process. In investigation the basic constituents of pictures the separation of connected segments square measure established to enquire the contiguousness relationship. throughout this course of pursuit, cutting and writing them, it's unbroken in mind that the specification of connectedness of the photographs remains timeless.
PENERAPAN MODEL CONTEXTUAL TEACHING AND LEARNING DALAM PEMBELAJARAN MENULIS TEKS PERSUASI PADA PESERTA DIDIK KELAS VIII SMP NEGERI 1 TUNJUNGAN TAHUN PELAJARAN 2018/2019

Application of the Contextual Teaching and Learning Model in Learning to Write Persuasive Texts in Students of Class VIII of SMP Negeri 1 Tunjungan in the 2018/2019 Academic Year. Thesis. Faculty of Language and Arts Education, University of PGRI Semarang. Advisor 1 Dr. Asropah, M.Pd. and Pembing II Drs. Murywantobroto, M.Hum. July 2019. The purpose of this study was to describe the application of the Contextual Teaching and Learning (CTL) model in learning to write persuasive texts in grade VIII students of SMP Negeri 1 Tunjungan in the 2018/2019 academic year. Data collection methods used in this study were technical tests and non-tests. The test technique is in the form of writing persuasion texts in writing according to the theme, structure, language rules and correlations between paragraphs. Whereas the nontest technique is in the form of an observation sheet of learning activities of teachers and students and questionnaires. The approach used is descriptive qualitative. The population in this study were all students of class VIII. The sample in this study was class VIII B, amounting to 31 participants. The technique of presenting the results of the data analysis was done qualitatively by analyzing the application of the Contextual Teaching and Learning model in learning to write persuasive texts to students of class VIII of SMP Negeri 1 Tunjungan. The results obtained in learning to write persuasion text using the Contextual teaching and Learning model can be applied in learning to write persuasion text in class VIII of SMP Negeri 1 Tunjungan in the 2018/2019 school year. The ability of students to write persuasion texts gets good grades. Students can write persuasion texts by analogizing the themes that have been determined. Thus, students can pour ideas freely. This can be seen from the average value of students reaching 88, the highest value of 100, and the lowest value of 76. Keywords: application, Contextual Teaaching and Learning model, writing persuasion texts
IF THOSE WHO ARE THERE DO NOTHING

This work is about the life of men and women who reside in peripheral areas in the context of the COVID-19 pandemic in Brazil It aims to reflect on the many diverse actions of solidarity carried out by those individuals to ease the impacts of the disease that deepens and highlights the social-spatial inequalities in the country, focusing on the “Periferia Viva” campaign, in the city of Juiz de Fora, Minas Gerais – Brazil The initiative starts in the neighbourhood of santa Cândida, but it extrapolates its limits by reaching families from different peripheries of the city, establishing, in this way, territorialities sutured by solidarity and opening possibilities for claiming rights © 2020, Finisterra, LV All rights reserved
Distributed Sparse Computing and Communication for Big Graph Analytics and Deep Learning

Sparsity can be found in the underlying structure of many real-world computationally expensive problems including big graph analytics and large scale sparse deep neural networks. In addition, if gracefully investigated, many of these problems contain a broad substratum of parallelism suitable for parallel and distributed executions of sparse computation. However, usually, dense computation is preferred to its sparse alternative as sparse computation is not only hard to parallelize due to the irregular nature of the sparse data, but also complicated to implement in terms of rewriting a dense algorithm into a sparse one. Hence, foolproof sparse computation requires customized data structures to encode the sparsity of the sparse data and new algorithms to mask the complexity of the sparse computation. However, by carefully exploiting the sparse data structures and algorithms, sparse computation can reduce memory consumption, communication volume, and processing power and thus undoubtedly move the scalability boundaries compared to its dense equivalent. In this dissertation, I explain how to use parallel and distributed computing techniques in the presence of sparsity to solve large scientific problems including graph analytics and deep learning. To meet this end goal, I leverage the duality between graph theory and sparse linear algebra primitives, and thus solve graph analytics and deep learning problems with the sparse matrix operations. My contributions are fourfold: (1) design and implementation of a new distributed compressed sparse matrix data structure that reduces both computation and communication volumes and is suitable for sparse matrix-vector and sparse matrix-matrix operations, (2) introducing the new MPI*X parallelism model that deems threads as basic units of computing and communication, (3) optimizing sparse matrix-matrix multiplication by employing different hashing techniques, and (4) proposing the new data-then-model parallelism that mitigates the effect of stragglers in sparse deep learning by combining data and model parallelisms. Altogether, these contributions provide a set of data structures and algorithms to accelerate and scale the sparse computing and communication.