keyword
https://read.qxmd.com/read/38452011/the-impact-of-companies-disclosing-esg-reports-in-multiple-languages-on-the-enthusiasm-of-foreign-investors-for-holding-shares
#21
JOURNAL ARTICLE
Ruixue Bao, Li Wei
We collect Chinese A-share listed companies from 2013 to 2022 as samples and use the multi-period difference-in-difference model (DID) to study the impact of multilingual ESG report disclosure on the enthusiasm of foreign investors. We find that Chinese companies disclose ESG reports in both Chinese and English stimulate the enthusiasm of foreign investors to hold shares. The main manifestations are the expansion of the company's foreign shareholding quota and the increase in the number of shareholders. Further research show that disclosure of multilingual ESG reports makes up for the readability of company annual reports for foreign investors...
2024: PloS One
https://read.qxmd.com/read/38451710/morphological-complexity-in-writing-implications-for-writing-quality-and-patterns-of-change
#22
JOURNAL ARTICLE
Carla Wood, Miguel Garcia-Salas, Christopher Schatschneider, Michelle Torres-Chavarro
PURPOSE: The current study examined (a) the relation between morphologically complex word (MCW) use (words containing at least one derivational morpheme such as prefixes and suffixes) and teachers' ratings of writing quality, (b) average change in MCW use in writing across the school year, and (c) differential change in MCW among students with varying language abilities and linguistic backgrounds including students with developmental language disorders (DLDs) and multilingual learners (MLs)...
March 7, 2024: American Journal of Speech-language Pathology
https://read.qxmd.com/read/38445172/fragrance-lexicon-for-analysis-of-consumer-generated-perfume-reviews-in-russian-and-english
#23
JOURNAL ARTICLE
Larisa Nikitina
In recent years, there has been a rise in research on sensorium in various academic disciplines. Olfaction is recognized as a sense that is most closely linked to cognition, memory and emotion. Due to this unique feature, studies on various aspects of human olfaction are steadily gaining prominence in the humanities and social sciences. In order to understand how the olfactory modality is marked, several taxonomies and semantic spaces of olfactory terms have been developed. However, the focus has been on the general olfaction lexicon and there is a lack of systematic and comprehensive lexicons for fragrant smells...
June 2024: MethodsX
https://read.qxmd.com/read/38439929/medlingua-a-conceptual-framework-for-a-multilingual-medical-conversational-agent
#24
JOURNAL ARTICLE
Galib Muhammad Shahriar Himel, Md Shourov Hasan, Umme Sadia Salsabil, Md Masudul Islam
This study introduces a hybrid model for an advanced medical chatbot addressing crucial healthcare communication challenges. Leveraging a hybrid ML model, the chatbot aims to provide accurate and prompt responses to users' health-related queries. The proposed model will overcome limitations observed in previous medical chatbots by integrating a dual-stemming approach, P-Stemmer and NLTK-Stemmer, accommodating both semitic and non-semitic languages. The system prioritizes the analysis of cognates, identification of symptoms, doctor recommendations, and prescription generation...
June 2024: MethodsX
https://read.qxmd.com/read/38439762/interventions-to-promote-health-literacy-among-working-age-populations-experiencing-socioeconomic-disadvantage-systematic-review
#25
Himal Singh, Florence Samkange-Zeeb, Jonathan Kolschen, Ruben Herrmann, Wiebke Hübner, Núria Pedrós Barnils, Tilman Brand, Hajo Zeeb, Benjamin Schüz
BACKGROUND: Experiencing financial insecurity and being underserved is often associated with low health literacy, i.e., the ability to identify, obtain, interpret and act upon health information, which may result in poor health outcomes. Little is known about effective interventions for promoting health literacy among underserved populations. The objective of this systematic review is to summarize the literature on such interventions and identify characteristics that differentiate more effective interventions...
2024: Frontiers in Public Health
https://read.qxmd.com/read/38437007/sharing-digital-health-educational-resources-in-a-one-stop-shop-portal-tutorial-on-the-catalog-and-index-of-digital-health-teaching-resources-cidhr-semantic-search-engine
#26
JOURNAL ARTICLE
Julien Grosjean, Arriel Benis, Jean-Charles Dufour, Émeline Lejeune, Flavien Disson, Badisse Dahamna, Hélène Cieslik, Romain Léguillon, Matthieu Faure, Frank Dufour, Pascal Staccini, Stéfan Jacques Darmoni
BACKGROUND: Access to reliable and accurate digital health web-based resources is crucial. However, the lack of dedicated search engines for non-English languages, such as French, is a significant obstacle in this field. Thus, we developed and implemented a multilingual, multiterminology semantic search engine called Catalog and Index of Digital Health Teaching Resources (CIDHR). CIDHR is freely accessible to everyone, with a focus on French-speaking resources. CIDHR has been initiated to provide validated, high-quality content tailored to the specific needs of each user profile, be it students or professionals...
March 4, 2024: JMIR Medical Education
https://read.qxmd.com/read/38435597/a-bilingual-benchmark-for-evaluating-large-language-models
#27
JOURNAL ARTICLE
Mohamed Alkaoud
This work introduces a new benchmark for the bilingual evaluation of large language models (LLMs) in English and Arabic. While LLMs have transformed various fields, their evaluation in Arabic remains limited. This work addresses this gap by proposing a novel evaluation method for LLMs in both Arabic and English, allowing for a direct comparison between the performance of the two languages. We build a new evaluation dataset based on the General Aptitude Test (GAT), a standardized test widely used for university admissions in the Arab world, that we utilize to measure the linguistic capabilities of LLMs...
2024: PeerJ. Computer Science
https://read.qxmd.com/read/38435589/heterogeneous-text-graph-for-comprehensive-multilingual-sentiment-analysis-capturing-short-and-long-distance-semantics
#28
JOURNAL ARTICLE
El Mahdi Mercha, Houda Benbrahim, Mohammed Erradi
Multilingual sentiment analysis (MSA) involves the task of comprehending people's opinions, sentiments, and emotions in multilingual written texts. This task has garnered considerable attention due to its importance in extracting insights for decision-making across diverse fields such as marketing, finance, and politics. Several studies have explored MSA using deep learning methods. Nonetheless, a majority of these studies depend on sequential-based approaches, which focus on capturing short-distance semantics within adjacent word sequences, but they overlook long-distance semantics, which can provide more profound insights for analysis...
2024: PeerJ. Computer Science
https://read.qxmd.com/read/38430637/multi-level-multilingual-semantic-alignment-for-zero-shot-cross-lingual-transfer-learning
#29
JOURNAL ARTICLE
Anchun Gui, Han Xiao
Recently, cross-lingual transfer learning has attracted extensive attention from both academia and industry. Previous studies usually focus only on the single-level alignment (e.g., word-level, sentence-level), based on pre-trained language models. However, it leads to suboptimal performance in downstream tasks of the low-resource language due to the missing correlation of hierarchical semantic information (e.g., sentence-to-word, word-to-word). Therefore, in this paper, we propose a novel multi-level alignment framework, which hierarchically learns the semantic correlation between multiple levels by leveraging well-designed alignment training tasks...
February 27, 2024: Neural Networks: the Official Journal of the International Neural Network Society
https://read.qxmd.com/read/38429025/distressing-discussions-in-pediatric-interpreted-medical-encounters-a-qualitative-study-of-medical-interpreter-perspectives-on-clinician-communication-practices
#30
JOURNAL ARTICLE
Amy Olen, Paulina S Lim, Sthephany Escandell, Kathryn A Balistreri, Julia B Tager, W Hobart Davies, Matthew C Scanlon, Charles B Rothschild
INTRODUCTION: This study explores pediatric medical interpreters' perspectives on clinician communication practices in medical encounters characterized by distressing content and difficult discussions. METHOD: In this interpretative phenomenological analysis, 13 Spanish-English interpreters at a midwestern pediatric hospital were purposively recruited and, in 2021-2022, completed a demographic survey and semistructured interview on communication in distressing interpreted medical encounters...
2024: Journal of Pediatric Health Care
https://read.qxmd.com/read/38423006/attention-networks-in-multilingual-adults-who-do-and-who-do-not-stutter
#31
JOURNAL ARTICLE
Gizem Aslan, Theo Marinis, Kurt Eggers
This study investigated whether multilinguals who stutter differ from multilinguals who do not stutter in terms of attention networks. Towards that end, it measured (a) performance differences in attention networks between multilinguals who stutter and those who do not stutter and (b) the correlation between stuttering characteristics and attention networks. Twenty-four multilingual Dutch-English speaking adults (20-46y), half of whom were diagnosed with stuttering, completed the Attentional Network Task (ANT) that evaluates the attention networks of alerting, orienting, and executive control...
February 29, 2024: Clinical Linguistics & Phonetics
https://read.qxmd.com/read/38421845/zeronlg-aligning-and-autoencoding-domains-for-zero-shot-multimodal-and-multilingual-natural-language-generation
#32
JOURNAL ARTICLE
Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A Clifton
Natural Language Generation (NLG) accepts input data in the form of images, videos, or text and generates corresponding natural language text as output. Existing NLG methods mainly adopt a supervised approach and rely heavily on coupled data-to-text pairs. However, for many targeted scenarios and for non-English languages, sufficient quantities of labeled data are often not available. As a result, it is necessary to collect and label data-text pairs for training, which is both costly and time-consuming. To relax the dependency on labeled data of downstream tasks, we propose an intuitive and effective zero-shot learning framework, ZeroNLG, which can deal with multiple NLG tasks, including image-to-text (image captioning), video-to-text (video captioning), and text-to-text (neural machine translation), across English, Chinese, German, and French within a unified framework...
February 29, 2024: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://read.qxmd.com/read/38416808/prevalence-and-quality-of-medical-spanish-education-in-us-osteopathic-medical-schools-a-national-survey
#33
JOURNAL ARTICLE
Kally Dey, Sinibaldo Romero Arocha, Yoon Soo Park, Pilar Ortega
CONTEXT: Spanish is the language in the United States with the greatest language-concordant physician deficit. Allopathic medical Spanish programs have proliferated, but the national prevalence of medical Spanish education at osteopathic medical schools has never been evaluated. OBJECTIVES: The objectives of this study are to describe the medical Spanish educational landscape at US osteopathic schools and evaluate program adherence to previously established basic standards...
February 29, 2024: Journal of osteopathic medicine
https://read.qxmd.com/read/38415610/it-s-our-job-to-bridge-the-gap-perspectives-of-bilingual-autism-providers-on-heritage-language-care
#34
JOURNAL ARTICLE
Melanie R Martin Loya, Hedda Meadan
In the United States, many people have heritage languages they speak in their homes other than English, such as Chinese or Spanish. Autistic children whose families speak different languages could benefit from support and teaching in their heritage languages. Still, caregivers have reported that it is challenging to do so. Many autism professionals make suggestions that are not based on research. To date, researchers have not examined the perspectives of the small group of bilingual professionals in the United States who provide bilingual support for autistic children...
February 28, 2024: Autism: the International Journal of Research and Practice
https://read.qxmd.com/read/38412333/biolord-2023-semantic-textual-representations-fusing-large-language-models-and-clinical-knowledge-graph-insights
#35
JOURNAL ARTICLE
François Remy, Kris Demuynck, Thomas Demeester
OBJECTIVE: In this study, we investigate the potential of large language models (LLMs) to complement biomedical knowledge graphs in the training of semantic models for the biomedical and clinical domains. MATERIALS AND METHODS: Drawing on the wealth of the Unified Medical Language System knowledge graph and harnessing cutting-edge LLMs, we propose a new state-of-the-art approach for obtaining high-fidelity representations of biomedical concepts and sentences, consisting of 3 steps: an improved contrastive learning phase, a novel self-distillation phase, and a weight averaging phase...
February 27, 2024: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/38407070/ethically-responsible-participant-selection-in-research-a-viewpoint
#36
JOURNAL ARTICLE
Carlos D Irizarry-Pérez, Leah Fabiano, Andrea Martinez-Fisher
PURPOSE: The American Speech-Language-Hearing Association (ASHA) has committed to advancing diversity, equity, and inclusion (DEI) in the profession of speech and hearing sciences. However, there exist significant discrepancies between the demographics of our members and the populations served. These discrepancies extend to the participants included within our research publications. This article addresses participant selection when conducting research investigations. First, we draw attention to standards of conduct that are present within and outside the field...
February 26, 2024: Journal of Speech, Language, and Hearing Research: JSLHR
https://read.qxmd.com/read/38400259/multilingual-framework-for-risk-assessment-and-symptom-tracking-mrast
#37
JOURNAL ARTICLE
Valentino Šafran, Simon Lin, Jama Nateqi, Alistair G Martin, Urška Smrke, Umut Ariöz, Nejc Plohl, Matej Rojc, Dina Bēma, Marcela Chávez, Matej Horvat, Izidor Mlakar
The importance and value of real-world data in healthcare cannot be overstated because it offers a valuable source of insights into patient experiences. Traditional patient-reported experience and outcomes measures (PREMs/PROMs) often fall short in addressing the complexities of these experiences due to subjectivity and their inability to precisely target the questions asked. In contrast, diary recordings offer a promising solution. They can provide a comprehensive picture of psychological well-being, encompassing both psychological and physiological symptoms...
February 8, 2024: Sensors
https://read.qxmd.com/read/38390067/-fly-lenet-a-deep-learning-based-framework-for-converting-multilingual-braille-images
#38
JOURNAL ARTICLE
Abdulmalik Al-Salman, Amani AlSalman
For many years, braille-assistive technologies have aided blind individuals in reading, writing, learning, and communicating with sighted individuals. These technologies have been instrumental in promoting inclusivity and breaking down communication barriers in the lives of blind people. One of these technologies is the Optical Braille Recognition (OBR) system, which facilitates communication between sighted and blind individuals. However, current OBR systems have a gap in their ability to convert braille documents into multilingual texts, making it challenging for sighted individuals to learn braille for self-learning-based uses...
February 29, 2024: Heliyon
https://read.qxmd.com/read/38388713/political-context-of-the-european-vaccine-debate-on-twitter
#39
JOURNAL ARTICLE
Giordano Paoletti, Lorenzo Dall'Amico, Kyriaki Kalimeri, Jacopo Lenti, Yelena Mejova, Daniela Paolotti, Michele Starnini, Michele Tizzani
At the beginning of the COVID-19 pandemic, fears grew that making vaccination a political (instead of public health) issue may impact the efficacy of this life-saving intervention, spurring the spread of vaccine-hesitant content. In this study, we examine whether there is a relationship between the political interest of social media users and their exposure to vaccine-hesitant content on Twitter. We focus on 17 European countries using a multilingual, longitudinal dataset of tweets spanning the period before COVID, up to the vaccine roll-out...
February 22, 2024: Scientific Reports
https://read.qxmd.com/read/38386398/reassessing-the-role-of-language-dominance-in-n-2-language-repetition-costs-as-a-marker-of-inhibition-in-multilingual-language-switching
#40
JOURNAL ARTICLE
Iring Koch, Mathieu Declerck, Greta Petersen, Daniel Rister, Wolfgang Scharke, Andrea M Philipp
Speaking two or more languages shows bilingual flexibility, but flexible switching requires language control and often incurs performance costs. We examined inhibitory control assessing n -2 repetition costs when switching three languages (L1 [German], L2 [English], L3 [French]). These costs denote worse performance in n -2 repetitions (e.g., L2-L3-L2) than in n -2 nonrepetitions (e.g., L1-L3-L2), indicating persisting inhibition. In two experiments ( n = 28 in Experiment 1; n = 44 in Experiment 2), n -2 repetition costs were observed, but only for L2...
February 22, 2024: Journal of Experimental Psychology. Learning, Memory, and Cognition
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