Reviewerly/exHarmony huggingface dataset:
John Stuart Mill's Harm Principle and Free Speech: Expanding the Notion of Harm

This article advocates employing John Stuart Mill's harm principle to set the boundary for unregulated free speech, and his Greatest Happiness Principle to regulate speech outside that boundary because it threatens unconsented-to harm. Supplementing the harm principle with an offense principle is unnecessary and undesirable if our conception of harm integrates recent empirical evidence unavailable to Mill. For example, current research uncovers the tangible harms individuals suffer directly from bigoted speech, as well as the indirect harms generated by the systemic oppression and epistemic injustice that bigoted speech constructs and reinforces. Using Mill's ethical framework with an updated notion of harm, we can conclude that social coercion is not justified to restrict any harmless speech, no matter how offensive. Yet certain forms of speech, such as bigoted insults, are both harmful and fail to express a genuine opinion, and so do not deserve free speech protection.
Frame the Development Plan for Comprehensive Reform of Regional Education

The framing of the development plan for comprehensive reform of regional education is a process of accumulating high-quality educational resources, integrating various positive factors, and establishing value pursuit, developmental goals, reform thoughts, strategic tasks, layout plans, policy guarantees, etc. In drawing up the plan for regional education, we should take a holistic and proactive view, and conduct a systematic analysis of the factors that impact upon the development of regional education. The framing of the plan consists of two parts. One is the planning work and activity related to the preparation. According to Friedman, planning is “a series of concerted efforts to push the society to pursue a common goal” and “a social technical practice that connects ideas and actions” (Yang Peifeng et al. 2013). The level of this social practice determines the quality of the plan’s text and its implementation. The other is the text of the plan, which reflects the achievement of the planning efforts and elaborates in clear and scientific expression the values, ideas, development goals and strategic tasks in a certain form so that it is easy to follow by those who implement the plan.
Association of colleges and technical schools of transport and its role in the modern system of secondary vocational education

The importance and role of the non-profit organization "Association of colleges and technical schools of transport", which has become a collegial body representing and defending the interests of a single educational community of railway colleges and technical schools working in the interests of the country's strategic industry, are considered. Today, the Association of colleges and technical schools of transport unites more than 50 educational organizations in the system of transport secondary vocational education. The main mission of the Association of colleges and technical schools of transport has been determined — coordination and organization of the activities of educational organizations, meeting the growing requirements of the industry for the quality of training qualified specialists of secondary vocational education, promoting the interests of transport education, including in matters of legal regulation of the implementation of tasks in the field of training specialists middle management. The factors providing the relevance and viability of the system of secondary vocational education of transport education are given. The prospects of the system of sectoral secondary vocational education are noted: the ability to quickly and disciplined rebuild, to effectively respond to the challenges of the time; the cohesion of the secondary vocational education system, manifested in the work of the Association of colleges and technical schools of transport — the coordinator and leading center of railway colleges and technical schools. A separate direction in the work of industry education is shown — participation in the WorldSkills movement in the context of the associated partnership of universities with the “Agency for the Development of Professional Communities and Workers Young Professionals (WorldSkills Russia)”. The growing role of industry education in the WorldSkills Russia movement, which today is becoming a locomotive for professional education, is indicated.
Elucidating Flood Disaster Problems in the World Capital Cities: Analyzing the Role of Humantrain Supply Chain

Jakarta is one of the cities that is often hit by floods. The problem of flooding in Jakarta is actually not a new thing. Many factors make Jakarta city vulnerable to flooding. These factors are natural and anthropogenic factors. These natural factors are: (1) Jakarta is located in the lowlands near the coast, (2) there are 13 rivers flowing through Jakarta, and (3) the high annual rainfall in the Ciliwung watershed (> 3000 mm). While anthropogenic factors are: (1) landscape changes due to high competition in land-based economic activities, (2) poor urban and rural spatial planning, and (3) lack of integrated institutional capacity and arrangements, especially in cross-border administration (especially Jakarta and West Java provinces). Lastly, our study has highlighted the need and significance of humantrain supply chain during the flood and similar other disasters. It is believed that humantrain supply chain is entirely different from commerical supply chain and may play a big role while addressing the issue of flood risk as faced by the community members.
Using AutoRegressive Integrated Moving Average and Gaussian Processes with LSTM neural networks to predict discrete geomagnetic signals

&amp;lt;p&amp;gt;In this paper, we present the results obtained for the geomagnetic data acquired at the Surlari Observatory, located about 30 Km North of Bucharest - Romania. The observatory database contains records from the last seven solar cycles, with different sampling rates.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We used AR, MA, ARMA and ARIMA (AutoRegressive Integrated Moving Average) type models for time series forecasting and phenomenological extrapolation. ARIMA model is a generalization of an autoregressive moving average (ARMA) model, fitted to time series data to predict future points in the series&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We made spectral analysis using Fourier Transform, that gives us a relevant picture of the frequency spectrum of the signal component, but without locating it in time, while the wavelet analysis provides us with information regarding the time of occurrence of these frequencies.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Wavelet allows local analysis of magnetic field components through variable frequency windows. Windows with longer time intervals allow us to extract low-frequency information, medium-sized intervals of different sizes lead to medium-frequency information extraction, and very narrow windows highlight the high-frequencies or details of the analysed signals.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We extend the study of geomagnetic data analysis and predictive modelling by implementing a Long Short-Term Memory (LSTM) recurrent neural network that is capable of modelling long-term dependencies and is suitable for time series forecasting. This method includes a Gaussian process (GP) model in order to obtain probabilistic forecasts based on the LSTM outputs.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The evaluation of the proposed hybrid model is conducted using the Receiver Operating Characteristic (ROC) Curve that provides a probabilistic forecast of geomagnetic storm events.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In addition, reliability diagrams are provided in order to support the analysis of the probabilistic forecasting models.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The implementation of the solution for predicting certain geomagnetic parameters is implemented in the MATLAB language, using the Toolbox Deep Learning Toolbox, which provides a framework for the design and implementation of deep learning models.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Also, in addition to using the MATLAB environment, the solution can be accessed, modified, or improved in the Jupyter Notebook computing environment.&amp;lt;/p&amp;gt;
Development of Semantic Search for Local Tourism Website in Case of Southern Isan of Thailand and Northern of Cambodia

Today, tourism web data are growing every day and storing in relational database, Thai and Cambodian tourists use internet to find tourism information every day. Absolutely, the problem of information that not preferable what they are looking for with mess of data. Therefore, ontology plays an important role in semantic web search to solve the problem of tourist finding information. In this research, the main point is to adopt semantic web to the local tourism website allowing users to search information from web search engine to get relevant information. The method of development has the 6 modules as follow: (1) removing stop word from user query, (2) construction tourism ontology OWL model, (3) SPARQL query semantic related word with ontology, (4) converting relational database into RDF dataset, and (5) SPARQL query construction to query data from RDF dataset and (6) display result. Additionally, the propose approach supported the tourism information system which can search all necessary information from tourism domain such as locations, services, attractive places, activities…etc. Metric-based approach is used to evaluation ontology schema and knowledgebase. The result shown schema and knowledgebase design are preferable quality. The two systems searching show that system use only keyword to search information get a few relevant data with 12% and system use ontology keyword-based get more relevant information with 88% . It indicate that the system searching OWL model can help tourist to find information which they are looking for without waste of time and system better handling of data.
The Efficient Multiplier GF(28) is Formed by The NAYK Algorithm

The efficient multiplier in Finite Field is needed in its implementation in the cryptography field.The NAIK algorithm provides fast steps and efficient solutions in forming the desired multiplier.The formation of an efficient multiplier GF(2^8) will be formed with the NAYK algorithm without being constructed from the smallest values, but directly from the value 8 itself.In comparison the NAYK algorithm provides a more efficient solution.
EFL Learners’ Surface Taxonomic Errors of Using Appropriate Verbs in Writing Descriptive Text

This article dealt with surface taxonomic errors of using appropriate verbs in writing descriptive text. The objectives are to investigate the types of common errors done by EFL learners by describing the dominant errors and also to elaborate on the reason why the learners did the errors in the descriptive text. The subjects of this research consist of 30 Senior High learners from some schools as the representative samples. Descriptive Qualitative Method with a case study design applies to the research. In collecting the data, essay tests and interviews were used. Findings show that there were some types of surface taxonomic errors such as misformation with 110 (60,11%) errors, omissions with 45 (24,59%) errors, addition with 16 (8,74%) errors, and misordering with 12 (6,55%) errors. Thus, misformation is the dominant type found. All of the errors committed to 183 of using appropriate verbs in writing descriptive text. Beyond the dominant errors such as misformation and omission, the errors occurred because some learners put the wrong tenses and verbs. Furthermore, the learners had less comprehension in structures related to the organization of the descriptive text.
Preserving Sequential Context: Developing Participatory Video Analysis Practice

An open challenge for participatory design research is how to engage users and other stakeholders early in the design process, not only as informants, but as participants in the analysis of field data, prior to the formulation of design problems.Involving novice analysts introduces additional complexity as they are simultaneously domain experts but with little time available to engage with activities that do not directly inform their practice.In this paper, we develop methods that balance making data-rich video analysis accessible, whilst preserving enough of the sequential context of the video so that novice analysts can make informed judgements.We introduce a modified version of the Video Card Game, adapted to involve primary school teachers in video analysis for design.We evaluate two instances of the method.Our findings, among others discussed, suggest the approach enabled participants to leverage their domain knowledge in analytic tasks.
Construction and Security Analysis of 0-RTT Protocols

If two parties want to communicate over an insecure channel, they typically executean interactive cryptographic handshake to establish a shared secret, beforeany application data is sent. In contrast, zero round-trip time (0-RTT) protocolsallow a sender to immediately send encrypted application data (0-RTT data) to areceiver without executing an interactive handshake. One of the major challengeswhen designing 0-RTT protocols is to guarantee forward security for the 0-RTTdata. Forward security ensures that compromise of a communicating party doesnot impact security of past communications. However, the lack of interactivity in0-RTT protocols renders it difficult to achieve forward security for the 0-RTT data.Only recently, novel techniques to overcome this challenge have been discovered.This thesis investigates design approaches to 0-RTT protocols and proposes newconstructions of 0-RTT protocols with forward security for all sent data. This thesis starts with a discussion on the concept of forward security in noninteractivesettings. Traditionally, forward security can be achieved if communicationpartners interactively agree on fresh secrets. However, this view limits theunderstanding of what forward security should mean in a non-interactive setting.Hence, we propose new terminology for a unified treatment of forward security,capturing both interactive and non-interactive communication settings. The remainder of this thesis can be split into two parts. The first part focuses onthe design of 0-RTT key exchange protocols. We investigate how to build 0-RTT keyexchange protocols from Bloom filter key encapsulation mechanisms, and describethe first mechanism with constant-size ciphertexts. We then use this scheme toconstruct the first multi-hop 0-RTT protocol for efficient connection establishmentin the context of anonymous communications. The second part of this thesis focuses in 0-RTT session resumption protocols.Session resumption protocols require an already established secret shared betweensender and recipient. This secret can then be used to re-establish a secure connection.Despite prior belief, we present the first 0-RTT session resumption protocolthat indeed achieves forward security for all messages. In contrast to existing0-RTT key exchange protocols, our 0-RTT session resumption protocol is highlyefficient as it only relies on symmetric primitives. We show that our protocol can beincorporated into the recently standardized TLS 1.3 handshake without modificationsto client-side implementations. This means that our protocol is immediatelydeployable by content providers without requiring changes to the standard.
Incorporating Multiword Expressions in Phrase Complexity Estimation

Multiword expressions (MWEs) were shown to be useful in a number of NLP tasks. However, research on the use of MWEs in lexical complexity assessment and simplification is still an under-explored area. In this paper, we propose a text complexity assessment system for English, which incorporates MWE identification. We show that detecting MWEs using state-of-the-art systems improves predicting complexity on an established lexical complexity dataset.
Facial Expression Recognition Based on Sparse Autoencoder and Shallow Convolutional Neural Network

Facial expression recognition is an important research issue in the pattern recognition and accurate recognition is a great challenge, especially in real scenes. In this paper, we propose a method of facial expression recognition based on sparse autoencoder and shallow convolution neural network, which can effectively solve the problems of insufficient feature extraction of shallow convolution neural network and limited sample datasets. The experimental data adopts the ICML2013 facial expression recognition contest's dataset (FER-2013) and this data is more difficult to identify. The images are preprocessed before the experiment and the key parts are selected as the input of the model. After these features are extracted many times, they are finally classified by softmax classifier. The experimental results indicate that the model performs well on the FER2013 dataset and the accuracy has been greatly improved compared with other methods.
Need Analysis of English Material for Vocational School of Health: A Case Study at One School at Karanganyar

This research aims to identify the students’ prospective professional need in learning English writing skills, to identify the style of learning that students preferred in learning English writing skills, and to reveal the incompetent that students need to improve in writing. This study required stratification that minimizes sampling errors to zero level. In this study, the 140 students from the second grade were chosen to be the participant. The questionnaire was used to be instruments to get the responses from the students about the learning needs. This study found that students need writing sentences correctly in learning English writing. The style of learning that students needed to learn English writing skills was in a small group more than group work. The topic that students preferred in learning is the topic about health as their background school is health, nursing, and pharmacy program. Students actually needed to learn English by themselves. The idea expansion was incompetent that students need to improve in writing. It is hoped that all these needs analyzed can be taken into attentiveness in increasing an ESP course for students.
Analyzing Hidden Privilege in the Academy

Women in Higher EducationVolume 29, Issue 10 p. 9-15 Educational Privilege Analyzing Hidden Privilege in the Academy Mary Lou Santovec, Mary Lou SantovecSearch for more papers by this author Mary Lou Santovec, Mary Lou SantovecSearch for more papers by this author First published: 24 September 2020 https://doi.org/10.1002/whe.20903Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume29, Issue10October 2020Pages 9-15 RelatedInformation
A GENRE BASED APPROACH IN IMPROVING STUDENTS’ WRITING NARRATIVE TEXT

This research investigates Genre-based Approach in improving the students’ writing narrative text. The aims of this study were to to find out the effects of the Genre-based Approach in teaching writing narrative text. In collecting data, the writer used instrument; it is writing text (pre-test and post-test). The population of the research was the eighth grade students’ of Junior High School Karangtengah Garut. The writer used a proportional random sampling, so there were 34 students as the sample (25%) of the population: 15 males and 19 females. This research a used quantitative method and the pre-experimantal design. Two variables in this research: the independent variable research was using Genre-based Approach in teaching narrative text, and dependent variable was using narrative text in improving the writing skill. The result of the research showed that tobserved was 13.96 and tcritical was 2.0423. The criteria of test; Ho was accepted if - tcritical ≤ tobserved ≤ tcritical so that it was concluded that null hypothesis (HO) was rejected and the alternative hypothesis (Ha) was accepted because the score was – 2.0423 ≤ 13.96 ≥ 2.0423; therefore, there was a significant effect of using Genre-based Approach in teaching writing narrative text and 76% of students writing narrative text using Genre-based Approach was improved
Terminology in Written Medical Reports: A Proposal of Text Enrichment to Favour its Comprehension by the Patient

The empowerment of the population and the democratisation of information regarding healthcare have revealed that there is a communication gap between health professionals and patients. The latter are constantly receiving more and more written information about their healthcare visits and treatments, but that does not mean they understand it. In this paper we focus on the patient’s lack of comprehension of medical reports. After linguistically characterising the medical report, we present the results of a survey that showed that patients have serious comprehension difficulties concerning the medical reports they receive, specifically problems regarding the medical terminology used in these texts, specifically in Spanish and Catalan. To favour the understanding of medical reports, we propose an automatic text enrichment strategy that generates linguistically and cognitively enriched medical reports which are more comprehensible to the patient, and which focus on the parts of the medical report that most interest the patient: the diagnosis and treatment sections.
Integrated navigation for the approach phase of Mars probe

Considering the navigation for the approach phase of the Chinese Mars probe TIANWEN-1, we present an integrated navigation method based on the data fusion of the ground measurement and optical observation. This method combines the measurements of space and control stations on Earth and the optical observation of the camera carried by the probe. Taking an on-the-ground filter as a subfilter to deal with the data of ground measurement and uploading the results with communication delay considered, we proposed a data fusion method for the uploaded results and optical data. First, a dynamic model for the approach phase of the Mars probe is introduced, and the computational accuracy and efficiency of the orbital integration are analyzed. The measurement models are then subjected to visibility analysis. Second, the algorithms of extended Kalman filter and unscented Kalman filter are formulated for data uploading and fusion. Finally, a simulation is performed under the prior position estimation as 100 km and Priori velocity estimation as 0.1 m/s. Results show that the integrated navigation method has better convergence speed and navigation accuracy.
LibGuides: Persistent Links: EBSCO

A guide on how to create accessible and direct links to Gumberg Library resources. Deep linking in EBSCO and a list of its databases
Procedurally Generated Monsters and Items

Finally, we have arrived at one of the cornerstones of roguelikes: procedural generation is probably one of the first things that comes to the mind of a player when they think about the genre, probably alongside thinking about permadeath and maybe ASCII graphics. Before we dive deeper into the code, it’s best if we explain a bit about what procedural generation is and what it is good for and most importantly what role it plays in the scope of this book.