scholarly journals Erratum to: Linguistic positivity bias in academic writing: A large-scale diachronic study in life sciences across 50 years

2021 ◽  
Author(s):  
Ju Wen ◽  
Lei Lei
2015 ◽  
Vol 112 (8) ◽  
pp. 2389-2394 ◽  
Author(s):  
Peter Sheridan Dodds ◽  
Eric M. Clark ◽  
Suma Desu ◽  
Morgan R. Frank ◽  
Andrew J. Reagan ◽  
...  

Using human evaluation of 100,000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (i) the words of natural human language possess a universal positivity bias, (ii) the estimated emotional content of words is consistent between languages under translation, and (iii) this positivity bias is strongly independent of frequency of word use. Alongside these general regularities, we describe interlanguage variations in the emotional spectrum of languages that allow us to rank corpora. We also show how our word evaluations can be used to construct physical-like instruments for both real-time and offline measurement of the emotional content of large-scale texts.


2012 ◽  
Vol 24 (1) ◽  
pp. 1-31 ◽  
Author(s):  
Jacqui Nokes ◽  
Jennifer Hay

AbstractThis paper reports on a large-scale diachronic investigation into the timing of New Zealand English (NZE), which points to changes in its rhythmic structure. The Pairwise Variability Index (PVI) was used to measure the mean variation in duration, intensity, and pitch of successive vowels in the speech of over 500 New Zealanders, born between 1851 and 1988. Normalized vocalic PVIs for duration have reduced over time, after allowing for changes in speech rate, supporting existing findings that stressed and unstressed vowels are less differentiated by duration in modern NZE than in other varieties of English. Rhythmically, syllable duration may be playing a reduced role in signalling prominence in NZE. This is supported by the finding that there have been contemporaneous changes in pitch and intensity variation. We discuss external and internal influences on the timing of NZE, including contact with Māori, the emergence of Māori English, and diachronic vowel shift.


2007 ◽  
Vol 11 (09) ◽  
pp. 570-591

Apollo Life Sciences Develops Needle Free Topical Vaccine. Avexa Collaborates with TargetDrug for CCR5 Inhibitor HIV Program. BioMaxx Systems to Build Biodiesel Demonstration Plant in Asia. GSK Plans to Launch Cervarix Vaccine Approved by Australia's Therapeutic Administration. LabTech Systems Signs License Agreement with BioMérieux for Innovative Robotic Microbiological Instrumentation. Living Cell Technologies to Conduct Trials of Pig Islet Cell Transplant in Diabetes Patients. Peptech Plans to Merge with Evogenix. Phylogica Collaborates with Opsona Therapeutics for Drug Discovery. China Sky One Medical Receives Grant from Heilongjiang Government. SinoBiomed's Malaria Vaccine Granted US Patent. Biocon to Enter Phase II Clinical Trials for Oral Insulin. Indian Drug Makers, Ranbaxy and Dr Reddy, Build Therapeutic Bridges in Japan. Medtronic Commences Large-Scale Clinical Trial of CRT-D in Japan. Japan's Bioventures Today — Sun Care Fuels Corporation. MerLion Pharmaceuticals to Conduct Trials for Two Anti-infection Drugs.


2012 ◽  
Vol 3 (2) ◽  
pp. 101-124 ◽  
Author(s):  
Ming Liu ◽  
Rafael A. Calvo ◽  
Vasile Rus

Many electronic feedback systems have been proposed for writing support. However, most of these systems only aim at supporting writing to communicate instead of writing to learn, as in the case of literature review writing. Trigger questions are potentially forms of support for writing to learn, but current automatic question generation approaches focus on factual question generation for reading comprehension or vocabulary assessment. This article presents a novel Automatic Question Generation (AQG) system, called G-Asks, which generates specific trigger questions as a form of support for students' learning through writing. We conducted a large-scale case study, including 24 human supervisors and 33 research students, in an Engineering Research Method course at The University of Sydney and compared questions generated by G-Asks with human generated question. The results indicate that G-Asks can generate questions as useful as human supervisors (`useful' is one of five question quality measures) while significantly outperforming Human Peer and Generic Questions in most quality measures after filtering out questions with grammatical and semantic errors. Furthermore, we identified the most frequent question types, derived from the human supervisors' questions and discussed how the human supervisors generate such questions from the source text.


2020 ◽  
Vol 63 (7) ◽  
pp. 2345-2360 ◽  
Author(s):  
Boji P. W. Lam ◽  
Thomas P. Marquardt

Purpose Emotional verbal fluency (Emo-VF) has the potential to expand neuropsychological assessment by providing information about affective memory retrieval. The usability of Emo-VF is limited, however, by significant variations in task administration and the lack of information about Emo-VF responses. This study investigated verbal productivity and the lexical-semantic properties of responses on positive and negative Emo-VF tasks. Comparing Emo-VF to non–Emo-VF tasks used regularly in neuropsychological assessment provided additional information about the basic characteristics of Emo-VF tasks. Method Twenty-five adult native speakers provided verbal responses to three Emo-VF (“happy,” “sad,” “negative emotions”) and two non–Emo-VF categories (“animals,” “things people do”). Verbal productivity was measured at the word and syllable levels. Multiple large-scale data corpora were used to estimate the lexical-semantic properties of the verbal responses. Results There was a robust positivity bias in verbal productivity within Emo-VF tasks. Emo-VF tasks tended to elicit longer words than “animals” and “things people do,” which might impact the results of verbal productivity analyses, especially in comparisons with “things people do.” Within Emo-VF tasks, negative Emo-VF elicited words from a wider range of valence than positive Emo-VF tasks. Similarities (e.g., word length and complexity) and differences (e.g., concreteness, age of acquisition) were found between positive and negative Emo-VF tasks. Conclusions The study provided information about the basic characteristics of Emo-VF tasks, which included evidence for a robust positivity bias, suggestions for analyses of verbal productivity (e.g., consideration of word length), and lexical-semantic properties associated with positive and negative Emo-VF tasks using corpora data.


Author(s):  
Marielle Patronis

The number of projects exploring the potential of mobile device-facilitated learning is steadily growing in higher education, prompted, in part, by the use of mobile technology in the work place. The use of mobile devices has expanded from short-term trials on a small scale to large-scale integration in educational settings from primary to higher education. With this increase, the use of textual-based communication has also increased. Hence, the mode of writing faces a new environment from printed text to the digital. However, there remains a lack of analysis that brings together the findings of the impact of using mobile devices on students' performance in academic writing. Consequently, the aim of this chapter is to provide an overview of how mobile devices impact students' performance in writing along with recommendations for possible future pedagogical uses of mobile technologies. The chapter builds on a pilot study conducted in spring 2014 at a university in Dubai, UAE, which explored the effect of using the iPad on learners' writing performance.


2003 ◽  
Vol 2 (2) ◽  
pp. 112-116 ◽  
Author(s):  
William B. Wood

The 1998 Boyer Commission Report advocated improvement of undergraduate education at large research universities through large-scale participation of undergraduates in the universities' research mission. At a recent conference sponsored by the Reinvention Center, which is dedicated to furthering the goals of the Boyer Commission, participants discussed progress toward these goals and recommendations for future action. A breakout group representing the life sciences concluded that independent research experience for every undergraduate may not be feasible or desirable but that transformation of lecture courses to more inquiry-based and interactive formats can effectively further the Commission's goals.


2021 ◽  
Vol 12 (2) ◽  
pp. 294-313
Author(s):  
Fatemeh Khonamari ◽  
Ehsan Hashemi ◽  
Martina Pavlikova ◽  
Bozena Petrasova

Aim. In academic writing, lack of coherence is thought to occur mostly due to the lack of necessary linguistic skills and knowledge in L2. Thus, the analysis of a written text is concerned with understanding the local relations among the ideas conveyed in a text. Concept. As is usually the case, students writing in a second language generally produce texts that contain varying degrees of grammatical and rhetorical errors. Most of the studies have been conducted with only one criterion for the analysis of coherence and they reported different results. Also, most of them have been conducted on a small scale in terms of the number of participants, and writing samples collected. Therefore, this study tries to investigate the coherence problems/errors of university students in their writing, if any, on a fairly large scale in light of the Cooperative principle and its maxims. Results and conclusion. The study revealed that the basic problem of the students in their essay writing was the way the text should be structured with reference to how cohesion and coherence are established. In the analysis of maxim violations, the violation of the Quality maxim was identified as making overgeneralisations or giving inadequate or no evidence/support for the claims/ideas. The violation of the Quality maxim indicates that students tend to do it due to their linguistic inadequacies.


2020 ◽  
Vol 26 ◽  
Author(s):  
Nadine M. Mansour ◽  
E. Andrew Balas ◽  
Frances M. Yang ◽  
Marlo M. Vernon

2015 ◽  
Author(s):  
Horacio Pérez-Sánchez ◽  
Vahid Rezaei Tabar ◽  
Vitaliy Mezhuyev ◽  
Duhu Man ◽  
Jorge Jpg Peña-García ◽  
...  

Methods for in-silico screening of large databases of molecules increasingly complement and replace experimental techniques to discover novel compounds to combat diseases. As these techniques become more complex and computationally costly we are faced with an increasing problem to provide the research community of life-sciences with a convenient tool for high-throughput virtual screening (HTVS) on distributed computing resources. To this end, we recently integrated the biophysics-based drug screening program FlexScreen into a service applicable for large-scale parallel screening and reusable in the context of scientific workflows. Our implementation, based on Pipeline Pilot and Simple Object Access Protocol (SOAP) provides an easy-to-use graphical user interface to construct complex workflows which can be executed on distributed computing resources, thus accelerating the throughput by several orders of magnitude.


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