Reviewerly/exHarmony huggingface dataset:
Rise of the Machines: Artificial Intelligence, Robotics, and the Reprogramming of Law (Symposium Foreword)

This Foreword provides an overview of Rise of the Machines: Artificial Intelligence, Robotics, and the Reprogramming of Law, a symposium hosted by the Fordham Law Review and cosponsored by the Fordham Law School’s Neuroscience and Law Center. As the Symposium spotlights, artificial intelligence (AI) and robotics are no longer the products of science fiction. AI is used by millions of people every day, from hedge fund managers to health-care professionals and even consumers of personalized assistants like Siri, Cortana, and Alexa. Neuroscience — “the branch of life sciences that studies the brain and nervous systems,” — is integral to AI development, as programmers seek to improve machines by understanding human thought patterns.Nonetheless, AI is something of a buzzword across the legal industry. There is still a certain mystique to the technology’s functionality that this Symposium intended to clarify while also assessing how it can affect legal regimes. In particular, this Symposium focused on problems posed by current and very near-future AI research and development with the aim to facilitate a dialogue among those who will shape the future of this impactful technology: neuroscientists, computer scientists, attorneys, and business professionals. As researchers continue to use neuroscience to make AI more “human” in its reasoning, the technology has encountered a range of human legal problems, including discrimination and bias, civil liability for risk-taking, and ownership of data and creative content.Regardless of the industry, ethical standards for the development of AI will be crucial. There is a popular adage in the world of computing: “garbage in, garbage out.” In essence, this idea tells us that flawed inputs will yield flawed results. It is an unfortunate reality that human beings are imperfect and susceptible to errors, biases, and prejudices. It is thus integral to reduce the impact that human judgments have on the tools we use. The transition to a world of algorithmic governance is not without its potential costs. As is particularly salient in the national discourse, it appears that our privacy is something of a premium. With the next great advancement in automated decision-making, individuals may stand to lose in privacy what they gain in convenience.
OPEN SCIENCE AND TRANSPARENT RESEARCH PRACTICES: IMPLICATIONS FOR GERONTOLOGY

Abstract Scientists from many disciplines have recently suggested changes in research practices, with the goal of ensuring greater scientific integrity. Some suggestions have focused on reducing researcher degrees of freedom to extract significant findings from exploratory analyses, whereas others concern how best to power studies and analyze results. Yet others involve ensuring that other interested researchers can easily access study materials, code, and data, to help with re-analysis and/or replication. These changes are moving targets, with discussions and suggested practices ongoing. However, aging researchers have not yet been major participants in these discussions, and aging journals are just starting to consider open science policies. This symposium, sponsored by the GSA Publications Committee, will highlight transparency and open science practices that seem most relevant to aging researchers, discuss potential challenges to implementing them as well as reasons for doing so, and will consider how aging journals may implement these practices. Open science practices to be considered include: preregistration, open data, open materials and code, sample size justification and analytic tools for considering null effects. Presenters from a range of areas of aging research (lab, secondary data, qualitative) will show examples of open science practices in their work and will discuss concerns about, and challenges of, implementing them. Then, editorial team members will discuss the implications of these changes for aging journals. Finally, discussant Jon King will give NIA’s perspective on the importance of encouraging open science practices in the aging field.
Authenticate audio video-crypto invisible watermarking approach for enhancing hidden information security and robustness

For any type of watermarking techniques imperceptibility, robustness, embedding capacity, security of hidden watermark data and good visual recovery of both cover, as well as watermark secret data, are the major issues. To solve these issues the selected frames of video and the secret data is divided into the equal number of parts and every part is mapped using adaptive pixel location mapping (APLM) algorithm to get watermarked video, hence the embedding capacity and security of hidden watermark data are increased. Furthermore, the proposed system also calculates the key security parameters like peak signal to noise ratio (PSNR), mean square error (MSE), histogram, structural similarity index module (SSIM) and cross-correlation factor (CCF) before watermarking, after watermarking and after recovering the secret data from watermarked video which are found to be identical, hence the proposed system is more insusceptible to any type of attack as compared to existing watermarking approaches.
Reflecting on College Intercultural Instruction

This paper provides an academic analysis on college intercultural instruction. The analysis reveals that problems still exist in aspects of teaching materials, teaching stuff, and ICC assessment. And based on the problems, suggestions are offered to try to give some implications in future intercultural instruction.
Struktur Kalimat dalam Karangan Mahasiswa In Country Universitas Negeri Malang Tahun 2016

ABSTRAK Penelitian ini berfokus pada struktur kalimat sederhana dan struktur kalimat luas dalam karangan mahasiswa In Country Universitas Negeri Malang tahun 2016. Metode yang digunakan dalam penelitian ini adalah pendekatan kualitatif. Hasil penelitian ini menunjukkan kehadiran struktur kalimat sederhana dan struktur kalimat luas yang beragam. Keberagaman tersebut tampak pada intensitas penggunaan beberapa fungsi sintaksis, seperti S, P dan Ket. Intensitas penggunaan fungsi sintaksis tersebut dipengaruhi oleh jenis karangan mahasiswa In Country, yakni karangan narasi Kata Kunci : struktur kalimat, kalimat sederhana, kalimat luas, mahasiswa In Country SUMMARY This study focuses on simple, compound, complex, and compound-complex sentences of writings authored by In Country 2016 students of State University of Malang. The study employs a qualitative approach. The result indicates that there are various types of sentences, proven by the frequent use of syntactic features such as subject, verb, and various adverbs. Its usage is affected by the genre of the text they are tasked with, which is narrative text. Keywords : sentence structure, simple sentence, compound and complex sentences, In Country students 1 1 1 1 MicrosoftInternetExplorer4 0 2 DocumentNotSpecified 7.8 磅 Normal 0
Re-design of the Household Appliance UI to make it an Adaptive System

Everyday life is increasingly rich in man-machine interactions and new challenges in user interface design arise. In particular, it emerges the need of adaptable solutions that learn from the user's behavior to improve their experience. In this context, the paper aims to redesign an existing UI to make it an Adaptive System. The introduction of an adaptive module allows finding the optimal interface features combination based on the user profile and previously interactions. The experimentation results demonstrate the adaptability and versatility of the proposed application by evaluating the user satisfaction and the perceived adaptability with respect to the native application.
El blog: archivo y aprendizaje transversal en Bellas Artes

This paper consists of the realization of a Blog that gives support to the exhibitions that are carried out within the subject Project Methodology.Space, of 3rd year of the Degree of Fine Arts in the 2018-2019 academic year.It deals with using the blog for transversal and collaborative learning in all the processes involved, as well as for the dissemination and filing of all the tasks, phases and results: from the beginning of each personal artistic project, the formation of the exhibition groups, the diffusion tasks, the assembly, the openings, the realization of catalogs, the repercussion in media, the received feedback, etc.The exhibitions, by groups of four or five students in each of them, were held in the Exhibition Hall of the Fine Arts building during four weeks in April / May (April 2 to May 3).The results corroborate that the blog is an aid to transversal learning, professionalization and to generate greater motivation, in addition to the construction of a documentary archive.
Aspects of open and distance education

Distance and open learning constitutes a novelty, which has gradually gained territory and deserves an approach from the point of view of the demand for the democratization of learning. It should be as open as possible, as for the access of potential students, and is marked by the problems of plagiarism and substitution of students by other professional authors, as far as the composition of compulsory, written works is concerned. It has recently taken advantage of various possibilities being offered by Internet, which is associated to the wider question of personal data protection, exemplified by the new right to be forgotten. In any case, competition in distance learning market is intense.
LEARNING EVALUATION THROUGH E-LEARNING SOCRATIVE IN LANGUAGE LEARNING

The era of industrial revolution 4.0 in the education sector is not enough only with old literacy but it requires three types of literacy, namely data literacy, technology literacy, and human literacy. Therefore, the learning process carried out must be appropriate and following industrial conditions 4.0. One of them is in evaluating learning. Evaluation is carried out to make decisions about the quality of learning that has been carried out, so learning evaluation activities need to use information technology and computers (ICT). It is only through social media e-learning that can be utilized in language learning. This research encourages the improvement of the quality of language learning that uses e-learning media as a learning evaluation medium. The research method used to solve the problem is descriptive qualitative. Meanwhile, the research techniques used were tests and questionnaires. The research was conducted in the Siliwangi IKIP environment with a sample of thirty-three students. Based on the results of the study through tests and questionnaires it was found that 72.2% of language learning evaluations through e-learning media went well, effectively and could be used appropriately.
BULLYING EFFECT AS SEEN IN LAURIE HALSE ANDERSON’S SPEAK: AN OBJECTIVE APPROACH

This paper is entitled “Bullying Effect as Seen in Laurie Halse Anderson’s Speak: An Objective Approach”. The objectives of the paper are: 1) to describe the main characters’ characterization in Laurie Halse Anderson’s Speak 2) to describe bullying effects experienced by the main character. This paper can be categorized into library research and applies descriptive qualitative method. The findings are: First, the characterization of the main character in Laurie Halse Anderson’s Speak are introvert, patient and traumatic. Second, the effects of bullying experienced by Melinda Sordino are: Melinda feels afraid to attend Merryweather High, the friendship between Melinda and Rachel is broken,Melinda’s the spirit of the study decreases, and Melinda is failed to choose someone to be her good friend.
An Archetypal D3.js Chart

In this chapter, we’ll learn about the example-based approach of learning and sharing D3.js code. We will review the canonical example that renders a bar chart. The code will serve as an illustration of what it is to work using a D3.js example as a jumpstart for your charts. We will learn about some of the standard code practices in the D3.js world and how they changed in the last versions.
Analysis of Digital Competences in University Students of Electrochemistry

In this work, we report the results obtained through a quantitative research, carried out with the objective of identifying and recognizing the digital competences of students who enroll in an Electrochemistry course. The information was collected with the help of a digital survey implemented on the web. The results indicate that students use smartphones to communicate among them, continuously they surf on the web for educational, recreational and occupational purposes. They use word processors, spreadsheets and electronic presentations at a basic level. However, they are not able to use mind maps, concept maps, wikis, blogs, image or video editing tools; nor are they capable of carrying out bibliographic searches in valid sources. In addition, the results indicate that the students surveyed require digital courses; in order to they can develop the digital skills expected in a digital native.
PENDAMPINGAN PEMANFAATAN TEKNOLOGI INFORMASI UNTUK PERLOMBAAN BERBASIS Cc5+ OSTRANAS III “PERWUJUDAN NILAI - NILAI Cc5+”

Community Service Activities aims to provide assistance by utilizing IT in the realization of Cc5 + values for students of SMP St. Yoseph Lahat. The specific target expected from this activity is the increased ability of junior high school students. Yoseph Lahat in designing and creating interactive IT-based presentation materials to prepare the competition OSTARNAS III. The software used is MS Power Point. Methods of implementation undertaken starting from the determination of partners, justification partner issues, procedures undertaken, work plans, and the expec ted output in the mentoring activities. Outcome of the implementation of this activity is expected: 1)students make presentations about interactive Cc5 + values using IT-based technology, 2) students understand the use of technology in making presentation materials about Cc5 + values as a support for the preparation process of the OSTARNAS III contest, and 3) the students mastered the presentation material on Cc5 + values with the best preparation for the competition OSTARNAS III. The results of the questionnaire stated that the OSTARNAS III advisory activities agreed / benefited by 46.67% and strongly agreed / beneficial to Junior High School students. Yosef Lahat equal to 53.33%
A Study on the Illocutionary Force of Women"s Abusive Language in Huan xi yuan jia

This paper makes a pragmatic study of the abusive language in the Ming Dynasty"s realistic novel Huan xi yuan jia, especially the female abusive language. There are more than 600 Abusive behaviors and more than 300 kinds of abusive language in the novel . Three points can be known from data analysis. First of all, the women in the novel have the same speaking right as the men. Secondly, Women’s Abusive behaviors and abusive language are more than men. Thirdly, Women attach importance to moral restraint at the same time they also pay more attention to personality constraints than men. In the Force-Dynamic model of abusive language, whether the entity is strong or weak depends on two conditions. One is the abusive language, the other is the behavioral language. This dynamic model can be expressed by four formulas, that is to say, when the male"s antagonistic language is strengthened, the female will change the original situation; when the male"s antagonistic language is weakened, the female will restore the original situation.
Negative Transfer of Mandarin on English Pronunciation and Strategies

This paper discusses the effect of Mandarin negative transfer on English speech in the process of English learning. It is pointed out that in the process of learning English pronunciation, there will inevitably be a negative transfer of Mandarin, and both teachers and learners should acknowledge this fact. At the same time, it also points out how to avoid the expansion of Mandarin negative transfer from the teachers’ angle as well as the learners’. Learners should try their best to develop good reading and recording correction habits at the beginning of the school, make full use of the online dictionary and language resources available everywhere, and strive to reduce the negative transfer of Mandarin, so as to grasp the fluent and accurate voice in a timely and effective manner.
Lexically dependent estimation of acoustic information in speech III: Cross-splicing verification of cue weights

In two prior studies (Redmon and Jongman, 2018, 2019, JASA), results of open- and closed-class word recognition tasks on items drawn from a large single-speaker database (Tucker et al., 2018) were used to train a model where acoustic cue weights were optimized to distinguish words in the lexicon, rather than a balanced inventory of phones. From that work, cues were identified that had a greater weight when considering the lexicon as a whole than when studying a symmetric set of contrasts in controlled syllable productions. To verify the causal role of such cues in word recognition, two new cross-splicing versions of the open- and closed-class tasks were run with a subset of items in each prior experiment. In each, an enhancement condition was created by cross-splicing diphones from items in the database with more distinct values on a given cue dimension, and consequently greater model-predicted accuracy. For each such item, a parallel reduction condition was created wherein accuracy was predicted to decrease due to the cross-splicing of a diphone with a more ambiguous value of a given cue. Results will serve to validate the relative role of the different cues in a manner that is external to the model-fitting procedure.
LINGUISTIC MEASURES OF SPOKEN UTTERANCES FOR DETECTING MILD COGNITIVE IMPAIRMENT

Abstract Studies have shown that speech characteristics can aid in early-identification of those with mild cognitive impairment (MCI). We performed a linguistic analysis on spoken utterances of 41 participants (15 MCI, 26 healthy controls) from conversations with a trained interviewer using the Term Frequency-Inverse Document Frequency (TF-IDF) method. Data came from a randomized controlled behavioral clinical trial (ClinicalTrials.gov: NCT01571427) to examine effects of conversation-based cognitive stimulation on cognitive functions among older adults with normal cognition or MCI, which served as a pilot study for I-CONECT. From the collected spoken utterances we first constructed a fixed-dimensional feature vector using TF-IDF. Next, to distinguish between MCI and healthy controls, we trained a support vector machine (SVM) classifier on per-subject feature vectors according to 5-fold cross-validation procedure. Our results verify the effectiveness of TF-IDF features in this classification task with Receiver Operating Characteristic Area Under Curve of 81%, well above chance at 65%.
Technical Challenges in Perceptual Learning Research

Author(s): Jacques, Theodore | Advisor(s): Seitz, Aaron R | Abstract: There is considerable variability in the observed effects of perceptual learning, and consequently considerable debate about the underlying mechanisms of learning. Resolving these irregularities and debates requires careful experimental control and precise application of research methods. At times, improving consistency between labs and methods is the best solution, but sometimes the best choice is to develop a new approach. Here we describe first a traditional perceptual learning experiment aimed at understanding individual differences. Then, when it was discovered that important data- analytic assumptions were violated by that experiment, we describe the development of novel data analytic techniques to help understand the results. Finally, we discuss the development of an entirely new paradigm to help understand aspects of perceptual learning that are at present difficult to measure reliably.
Análise de dados da Plataforma Sucupira sobre teses e dissertações relacionadas a Design da Informação (1997-2017)

Previous studies about Brazilian Information Design (ID) scientific production researched conference proceedings and data from Plataforma Sucupira (PS) to build overviews about the themes, author's institutions, and regions of origin.Due to the multiplicity and comprehensiveness of the area, those studies demand qualitative efforts of search, retrieval, and analysis of the productions evaluated, since their descriptors embrace various interests and choices of their authors.This paper aims to investigate data about theses and dissertations available at PS related to ID, between 1997 and 2017.Among these, 116 (46.6%) had complete records and were analysed using word clouds, correlation analysis, directed network graphs, and content analysis.Results endorse the multidisciplinary and comprehensive conception of ID, as the works discuss the process of information organization in physical and virtual environments, interacting with technological changes and diverse languages, oriented by users' physical, cognitive, and affective needs.
The value of GBCA in MRI images

These ten images can help ob/gyns recognize the additional information GBCA administration provides in MRIs.
Seton Hall University Libraries: Investigative Reporting: Web Sources

This guide provides resources that will help you with research for Investigative Reporting.
UT Linked Data Informal Learning Discussion Series Bibliography

The following bibliographies were created as part of the UT Linked Data Informal Learning Discussion Series hosted at UT Libraries
Development Android Application for Visualization of Technical Characteristics Based on Augmented Reality and Machine Learning Methods

Nowadays the number of electronic devices has increased as well as their complexity. At the same time only few people are reading user guides for these devices. Moreover, in certain cases even no guides are provided by the manufacturer. Therefore there is a large number of cases when people use such devices incorrectly. This issue could be possibly solved with a system automatically recognizing the type of the device. Such system could provide all necessary user information about that device. This article suggests one of possible implementations of such device type recognition system. It recognizes type of device in an unsupevised way and shows main characteristics and user guides for the recognized gadget. Our approach for constructing such system relies on machine learning methods since greedy search for an object pattern is not efficient, as it was found out by recent scholarly works. Moreover, automatic object patterns classifiers show higher performance in this task and allow to scale the system to various kinds of input data. The algorithms that we are using for object classification are based on feature extraction from an graphical representation of the object look. This representation is usually proposed in an digital photography format. We consider our study as the first work towards automated defining characteristics of a device based on its graphical representation.