Reviewerly/exHarmony huggingface dataset:
Iancu v. Brunetti’s Impact on First Amendment Law: Viewpoint Discrimination, Modes of Offensive Expression, Proportionality and Profanity

This article analyzes and contextualizes multiple effects on First Amendment jurisprudence of the United States Supreme Court’s 2019 trademark ruling in Iancu v. Brunetti. It explores what the five opinions in the case reveal regarding the justices’ divergent views on both offensive speech and standards of scrutiny. The six-justice Brunetti majority struck down part of the federal Lanham Act that allowed the United States Patent and Trademark Office (“PTO”) to deny registration to marks it deemed immoral or scandalous. Yet several justices wanted to permit the PTO to reject registration for vulgar or profane marks that offend based not on the ideas or views conveyed, but rather because of the manner and mode of expression. Furthermore, the majority specified it was silent about such a censorial mode-of- expression possibility. Beyond examining what this portends for Congress in drafting a new statute, the article also considers: (1) Brunetti’s implications for the doctrine against viewpoint-based discrimination; (2) Justice Stephen Breyer’s continued assault on the Court’s traditional categorical approach to First Amendment cases; and (3) how Brunetti indirectly breathes life into the Federal Communications Commission’s quiescent regulation of profanity on the broadcast airwaves. Ultimately, while the Court under Chief Justice John Roberts’s leadership has protected offensive speech in cases such as Snyder v. Phelps and United States v. Stevens, the quintet of opinions in Brunetti reveals that this benevolence has limits, especially when government protection confers benefits upon such expression.
Active learning in E-learning: a case study to teach elliptic curve cryptosystem, its fast computational algorithms and authentication protocols for resource constraint RFID-sensor integrated mobile devices

Elliptic curve cryptosystem (ECC) is a public key-based cryptosystem. All algorithms in ECC are based on point addition and point doubling arithmetic operations. This explains the active learning process and its usages in teaching elliptic curve cryptography-based contents to undergraduate and graduate students. Here, the emphasis is given to mathematical contents that make the cryptography concepts easy to understand. Mathematical concepts mainly include point addition and doubling with examples. Further, technical observations are made while teaching these contents. For example, to reduce computation cost, there is a need for fast computations method in point addition and doubling operations. Thus, the fast computational algorithms are important to understand with examples for reducing the cost in ECC arithmetic operations. These algorithms reduce the number of steps required to perform cryptography operations by reducing compute addition and doubling operations. Group authentication is one of the major application domains of ECC. This work presents the ECC-based authentication protocols that provide authentication using encryption/decryption, digital signature, and other cryptography primitives. In observations, it is found that the proposed approach is much better quantitatively and quantitatively compared to traditional teaching.
Ja, nej eller kanske? - En undersökning av frivillighetsrekvisitet i 6 kap. 1 § Brottsbalken

The purpose of this thesis is to examine the requirement of consent in chapter 6 section 1 of the Swedish Criminal Code (brottsbalken, SFS 1962:700) from a legal security perspective. First by examining how the legislator described the requirement in the legislative history and in the text of the law and thereafter by analyzing court cases where the requirement has been applied. This is to decide if the criticism regarding the unpredictability of the legislation has been justified.The discussion about the requirement of consent began more seriously in 2001but not until the first of July 2018 the government voted for the so called “law of consent”. In the legislative history a few starting points are given in how the requirement should be used in the assessment of whether there has been a consent or not. However, in the end the legislator delegates to the adjudication to make an assessment in the individual case. The law was met with criticism. Among else, the legislator’s vagueness in the legislative history is one problem that has been highlighted.Finally, the conclusion is that the unpredictability of the requirement of consent is not such a big problem that it is unacceptable. The court cases that are evaluating the new legislation have been comparatively congruous. There are some weaknesses that leads to some unpredictability. In the cases the judges have the hard task to do a normative assessment within an area without any legal standards of what that is a correct behavior. Yet the judges have been consistent and have followed those guidelines they were given in the legislative history. Considering those advantages the new law has meant, like the expanded focus on the sexual self-determination, the unpredictability has not been such a big issue that the lawshould not have been adopted because of it.
Performance Improvement of Reading Brain Function Considering Quantified Analysis of Highly Specialized Neurons: A Neural Networks Approach

This piece of research adopts the conceptual approach of (ANN) models inspired by functioning of highly specialized biological neurons in reading brain based on the organization the brain’s structures/substructures. Additionally, in accordance with the prevailing concept of individual intrinsic characterized properties of highly specialized neurons, presented models closely correspond to performance of these neurons for developing reading brain in a significant way. More specifically, introduced models concerned with their important role played in carrying out cognitive brain function’ outcomes. The cognitive goal for reading brain is to translate that orthographic word? from into a spoken word (phonological word?form). In this context herein, the presented work illustrates via ANN simulation results: How ensembles of highly specialized neurons could be dynamically involved in performing the cognitive function of developing reading brain. This study shows that flock of neurons interacts together among the flock’s agents to perform a specific common role (Reading function) via visual and auditory brain areas.
LibGuides: LSC 595 Spring 2021 Merchant Professional Field Experience: Site Agreement and GSLIS Outcomes

This guide contains record of my field experience at Concord Free Public Library in the Spring 2021 semester
APLIKASI ANDROID PROTEKSI KEAMANAN UNTUK MENDETEKSI ILEGAL AKSES: BRUTE FORCE

The protection of online systems, especially websites, relies heavily on the role of theadministrator, which is monitoring the website. Administrators cannot monitor continuouslybecause of the limited time they have. While attacks and Illegal access especially brute forceattempts from attackers against websites can occur at any time. There is no handling mechanismthat can be done through mobile devices to Illegal access efforts on the website, becoming oneof the weaknesses of a website. The method used is a protection model with the use of firebasenotification technology, where the application detects Illegal access attempts and automaticallysends notifications to administrators via their devices (technology devices that are created moresophisticated than previous technologies). Ideally, the website has used Secure Socket Layer(SSL) technology which is a website security standard with SSL technology, all data will beencrypted before sending it to the server. Besides relying on monitoring in the form ofnotifications, to speed up security on Illegal access efforts, the administrator can do earlyprotection through the application. That is in the form of temporary deactivation of the user andactivates hibernation mode (a mode that allows the power of the computer will be turn offcompletely) on the system if the threat of attack continues to increase. Therefore the result ofapplying the method is expected that the administrator can monitor and handle websites fromIllegal access efforts from attackers more quickly, precisely and easily.Keywords ___ security protection, brute force, mobile application, Illegal access, website
Design of 3D-printed cranioplasty moulds using Neural Network

Cranioplasty is surgical repair of a skull bone defect due to a previous surgery or injury. Cranioplasty is most often performed with autologous bone flap, i.e the patient's own saved bone from previous surgery if this is available. If autologous bone is not available then custom procedure is to manually mould an implant using bone cement from the plastic polymethyl methacrylate (PMMA). Manually moulding implants during surgery has, albeit being a clinical routine, disadvantages and therefore Skane University Hospital have developed a technique to 3D print patient-specific cranioplasty moulds based on a computed tomography (CT) scan of the skull bone. The shape of the mould is created by a combination of manual design process, mirroring and interpolation. This partly limits the technique to unilateral defects and the method can be tricky and time consuming for complicated cases. The purpose of the thesis was to develop a method based on a neural network to reconstruct missing parts of the skull bone and overcome the limitations with the current mirroring method when designing implants or moulds for cranioplasty. The process included developing a method to extract data from CT images for training of the neural networks. During the process numerous neural network structures and models were developed and evaluated with the best performing network being a convolutional autoencoder with skip connections. The network was trained with data from a total of 240 patients with simulated defects. The results of the network shows that it is able to handle both unilateral and bilateral defects with a mean error of 1.07mm. In comparison to the currently used method it performed as well or even better in some cases. Overall the developed method showed good enough results for it to be implemented as clinical routine. (Less)
LibGuides: How To Build A Simple Website: Websites

The purpose of this LibGuide is to provide easy-to-follow steps to help you create a simple, yet effective, website for a class and/or business. Throughout this guide you'll find links to resources to help you get your ideas in order and build your websit
Performance Assessment of Principal Component Analysis and Kernel Principal Component Analysis Using TOAM Database

Face recognition algorithms can be classified into appearance-based (Linear and Non-Linear Appearance-based) and Model-based Algorithms. Principal Component Analysis (PCA) is an example of Linear Appearance-based which performs a linear dimension reduction while Kernel Principal Component Analysis (KPCA) is an example of non-linear appearance methods. The study focuses on the performance assessment of PCA and KPCA face recognition techniques. The assessment is carried out base on computational time using testing time and recognition accuracy on created database identified as TOAM database. The created database is mainly for this research purpose and it contains 120 face images of 40 persons frontal faces with 3 images of each individual under different lighting, facial expressions, occulations, environment and time. The findings reveal an average testing Time of 1.5475 seconds for PCA and 67.0929 seconds for KPCA indicating a longer Computational time for KPCA than PCA. It also reveals that PCA has 72.5% performance recognition accuracy while KPCA has 80.0% performance recognition accuracy indicating that KPCA outperforms the PCA in terms of recognition accuracy.
SASTRA ANAK BERBASIS ETNOMATEMATIK SEBAGAI MEDIA PENANAMAN WAWASAN DAERAH

The children’s’ literature is a form of imaginative creation with language exposure that describes the world of fiction, presents understanding and experience and contains aesthetic value. The children's literature is synonymous with cultural elements, namely fairy tales or legends. The development of culture itself is inseparable from the discipline of mathematics. The cultural relationship with mathematics is a scientific discipline called ethnomathematics. The children’s literary based ethnomathematics forms influence the knowledge of regional insights and the ability to think critically mathematics. The role of children's literature based ethnomathematics developed in a modern way through comics or fairy tales, gives enthusiasm for reading and knowledge of regional insights, namely local languages, traditional houses, special foods, and others
Predição de séries temporais aplicada ao mercado de criptomoedas.

Bitcoin is a decentralized digital currency that has emerged to replace current payment methods. However it faces distrust from investors and users due to the volatility of its values.One way to mitigate this volatility is to apply computational intelligence based on machine learning algorithms to predict their quotation values.Thus, this work aims to apply a Recurrent Neural Network (RNN), using Bitcoin's historical series, to predict the curve relative to the daily closing value.This work uses the Bitstamp database of the CryptoDataDownload webpage for training the algorithm.The data used are for BTCUSD parity from 11/28/2014 to 11/29/2019.Several indicators were evaluated and combined to verify the quality of the solution, however, the best result obtained was only the curve indicator (daily closing value) with a square root of the mean square error root mean square error (RMSE) of 260,137, being a parameter value for future researches.
Usage of graph databases for social graph modeling

This article is devoted to graph database management systems. The main characteristics and capabilities of those systems have been contemplated. The problems that may occur during the social network development have been selected to be solved using a graph data model. The most popular database management systems nowadays, namely, Neo4J, OrientDB and ArangoDB have been chosen for the study. Such characteristics of the selected databases as whether the software is proprietary or freely distributed, whether databases have up-to-date documentation or not, whether they are supported by developers, whether there is a community where you can get answers to your questions, and how much time is needed to master the database have been elaborated. The typical social network queries, when you need to receive results with a large depth of search quickly, have been developed using the query languages Cypher, OrientDB SQL and AQL used in Neo4J, OrientDB and ArangoDB respectively. The comparison of query execution speed has been performed for the selected databases. For this purpose, a graph that has 5000 nodes and 24900 connections has been built by implementing the Barabashi-Albert model for generating random-scale networks. The test tasks for finding friends of three users with the depth of 5 have been generated. The average time for each request has been estimated for several executions. The conclusions have been drawn and the recommendations regarding the selection of the best graph database for social network implementation have been made.
MENINGKATKAN AKTIVITAS DAN HASIL BELAJAR SISWA MELALUI PENGGUNAAN MODEL PEMBELAJARAN KOOPERATIF MAKE A MATCH PADA PEMBELAJARAN IPS MATERI AYO CINTAI LINGKUNGAN DI KELAS VI SDN 02 LEMITO KECAMATAN LEMITO KABUPATEN POHUWATO

The purpose of this research is to: increase student activity and learning outcomes in social studies subjects through the use of Make A Match Cooperative Learning Model in social studies learning in class IV SDN 02 Lemito, Lemito District, Pohuwato Regency. This research uses classroom action research. The research phase consists of planning, implementing actions, observing, and reflecting. The object of research is the fourth grade students of SDN 02 Lemito, Lemito District, Pohuwato Regency. Data collection techniques are: 1) observation sheets of teacher activities and student activities during the learning process and 2) tests of student learning outcomes. The research hypothesis is that if social studies learning is carried out using the Make A Match Cooperative Learning Model, the activities and learning outcomes of students in class IV SDN 02 Lemito, Lemito District, Pohuwato Regency will increase, with an indicator of the success of the action is the number of students who get a minimum score of 75 increases from 56% to a minimum of 85%. As a conclusion of this research are: the use of the Make A Match Cooperative Learning Model can increase Student Activities and Learning Outcomes in social studies subjects especially in class IV SDN 02 Lemito Lemito District Pohuwato Regency, this is supported by the results of research: 1) the number of students who obtained a minimum of 75 increased from 43.75% at the time of initial observation to 56.25% after the implementation of the first cycle, and increased again to 87.50%,after the implementation of cycle II. 2) Observation Results Teacher activities included in the criteria very well and well increased from 53.66% in the implementation of the first cycle to 86.66% in Cycle II, and 3) observations of student activity included in the active and moderately active criteria increased from 40% of the cycle I implementation increased to 90%. after the results of the second cycle.
The Speaking Competence of EFL Students at an Indonesian Suburb Vocational School

This study aimed to assess speaking ability of the vocational school EFL students. The study involved 108 students of the Accounting Department at a vocational school in the suburban area of Banyumas Regency, Central Java Province, Indonesia. In this study, convenience sampling was used. The data were collected using document of student speaking scores elicited from transactional speaking formative assessments.  The scores of students’ speaking competence in the test were classified to determine their level of competence.The data were analysed using the descriptive statistic and visualized in charts. Therefore, the average, percentage and frequency distribution of the students’ scores were obtained. The results have shown that students’ speaking ability of 67 students or 62% reached an average of 83.61, falling to category “Good”. In addition, there were 6 students or 5,6% who could achieve very good level. Then, there were 34 students or 31,5% who could reach average level. In other words, the technique implemented in the speaking assessment showed good result.  With regard to the finding, it was recommended that it should be good motivation and challenge for the English teachers to encourage the students to be more confident in speaking English and provide them with more opportunity to practise extensively outside the classroom.
The Influence of the Innovative Component on the Training of Specialists in the Field of Chemistry and Polymer Technology

Modern economy is innovative and the main factor in developing competitive production is training of engineering specialists with intellectual and creative capabilities The proposed methodology, based on the combination of two areas of training (economics and chemical engineering), provides training for highly qualified specialists in the field of polymer chemistry. Its effectiveness is confirmed by the high demand of the management of the chemical industry, improving the skills of their employees in these programs. The methodology for constructing the educational program and the organization of the educational process is in close cooperation between the university and industry. These programs are aimed at ensuring that teachers perceive this training as an opportunity to reveal the entrepreneurial spirit for students to be more entrepreneurial in their follow-up activities. Entrepreneurial skills allow graduates to conduct business more rationally and purposefully, focusing on pre-planned results. The presence of these skills significantly increases their value in the labor market.
Peran Orang Tua Terhadap Motivasi Belajar Anak Pada Masa Pandemi Covid-19

This study aims to determine the role of parents in motivating children to learn during the COVID-19 pandemic. The research method used is qualitative research methods. This type of research leads to phenomenological studies which have special attention to the phenomena under study, focus on the activities of the research subject, reveal problems, present and analyze data, and obtain data by direct observation. The study was conducted within 1 month when the pandemic took place. The subjects of this study were parents who have children aged 5 to 9 years. The research begins by determining the problem to be studied, namely the role of parents in motivating children to learn. The data was collected by means of a questionnaire, then formulated the results of the research as a sign of the achievement of the research objectives. The results of the study found that the role of parents is needed in motivating children to learn during the Covid-19 pandemic. Parents as primary educators must provide a fun learning environment and time so that children can develop their abilities and achieve learning goals. Parents agree that during learning from home, the role of parents in motivating children to learn is the most important thing.
LibGuides: BEd Teacher Education: New database: Feb 2021

Library support for BEd Teacher Education students in Stranmillis University College A page highlighting newly acquired library resources
PENGEMBANGAN MODUL PEMBELAJARAN BAHASA INDONESIA BERBASIS INKUIRI SISWA KELAS IV SDN 34 AIR PACAH PADANG

This study aims to develop valid and practical inquiry-based Indonesian learning modules on interview material for fourth grade students in elementary school. Development research is a process for developing a new and accountable product. This type of research is Research and Development. This inquiry-based Indonesian learning module was developed using three-D models. This research was conducted in the even semester of the 2018/2019 school year. Data collection is done by validation and trial modules that are developed. The module design that was designed was validated by three experts, and then it was tested limitedly in class IV-B SDN 34 Air Pacah to find out the validity and practicality of the module being developed. From the results of the research conducted, it was concluded that the inquiry-based Indonesian language learning module on theme 9 about interviews for fourth grade elementary school students was in the valid category with an average percentage of validity of 95.90%. The modules that have been developed are categorized as practical by the teacher with an average percentage of practicality 89.16%, also categorized as practical according to students with an average percentage of practicality of 88.71%. It can be concluded that this inquiry-based Indonesian learning module can already be used and utilized by teachers in primary schools. Keywords : module, Indonesian language learning, inquiry-based, valid and practical