Recent research underscores the significance of data-led and collaborative reflection in enhancing teaching practices and professional development of teachers. While video-based reflections have been extensively studied, the potential of corpus-based...
With vocabulary playing an essential role in the learning of English for Specific Purposes, teachers face the challenge of organising and teaching lexis in a way that maximises opportunities for acquisition. Specialised word lists offer a solution, b...
We have designed a collection of scenarios, a corpus, for its use in the study and development of routing algorithms for opportunistic networks. To obtain these scenarios, we have followed a methodology based on characterizing the space and choosing...
Equine chorionic gonadotropin (eCG) has been shown to improve reproductive performance in cattle by stimulating terminal follicular growth. This study was designed to assess the effects of 400 IU of eCG on TFG and its consequences for luteal developm...
In order to develop computer tools for speech therapy that reliably classify speech productions, there is a need for speech production corpora that characterize the target population in terms of age, gender, and native language. Apart from including...
The development of parallel audio corpora for Turkic languages, such as Kazakh, Uzbek, and Tatar, remains a significant challenge in the development of multilingual speech synthesis, recognition systems, and machine translation. These languages are l...
Cortical development in humans is a long and ongoing process that continuously modifies the neural circuitry into adolescence. This is well represented by the dynamic maturation of the corpus callosum, the largest white matter tract in the brain. Cal...
Aquaporin-4 (AQP4) expression is associated with the development of congenital hydrocephalus due to its structural role in the ependymal membrane. Gene expression analysis of periaqueductal tissue in AQP4-knockout (KO) mice at 11 days of age (P11) sh...
This study focuses on the development and evaluation of automatic speech recognition (ASR) systems for Kazakh child speech, an underexplored domain in both linguistic and computational research. A specialized acoustic corpus was constructed for child...
This study presents a new dataset for fake news analysis and detection, namely, the PolitiFact-Oslo Corpus. The corpus contains samples of both fake and real news in English, collected from the fact-checking website PolitiFact.com. It grew out of a n...
Corpus luteum (CL), a transitory gland, undergoes rapid growth in a limited time to produce progesterone (P4) followed by its regression. A complex molecular signaling is involved in controlling luteal P4 production. In the present study, 2D gel elec...
We aimed to characterize early embryo development and changes in corpus luteum (CL) development and progesterone profile in pregnant vs. non-pregnant jennies. Eight jennies were enrolled in the study. In the first two cycles, the jennies were monitor...
Reproduction is classically controlled by gonadotropin-releasing hormone (GnRH-I) and its receptor (GnRHR-I) within the brain. In pigs, a second form (GnRH-II) and its specific receptor (GnRHR-II) are also produced, with greater abundance in peripher...
The BTBR T+ Itpr3tf/J (BTBR) strain is a widely used model of neurodevelopmental disorders, characterized by an altered neuroanatomy, including a full-penetrant agenesis of the corpus callosum. While the adult BTBR brain has been studied thoroughly,...
Congenital Zika syndrome (CZS) is a set of birth defects caused by Zika virus (ZIKV) infection during pregnancy. Microcephaly is its main feature, but other brain abnormalities are found in CZS patients, such as ventriculomegaly, brain calcifications...
Despite recent advances in cancer treatment, the prognosis for uterine malignancies (carcinoma and sarcoma) requires further improvement. Antibody–drug conjugates (ADCs) have emerged as a novel class of anti-cancer therapeutic agents, and multi...
The porcine estrous cycle is influenced by reproductive hormones, which affect porcine reproduction and result in physiological changes in the reproductive organs. The ovary is involved in ovulation, luteinization, corpus luteum development, and lute...
Despite its ubiquity as a writerly practice in academic writing, there is little publicly available evidence that connects feedback-based revision practices with quantitative changes in research writing. This study proposes a framework based on artif...
The contribution of autophagy to catabolic balance has been well-established in various types of cells, whereas the involvement of autophagy in progesterone synthesis during rat pregnancy still remains unknown. Therefore, the present study was design...
Processing of social media text like tweets is challenging for traditional Natural Language Processing (NLP) tools developed for well-edited text due to the noisy nature of such text. However, demand for tools and resources to correctly process such...
Facing fast-increasing electronic documents in the Digital Media Age, the need to extract textual features of online texts for better communication is growing. Sentiment classification might be the key method to catch emotions of online communication...
The research presented in the following paper focuses on the effectiveness of a modern standard Arabic corpus, AraFast, in training transformer models for natural language processing tasks, particularly in Arabic. In the study described herein, four...
Recent neuroimaging studies allowed us to explore abnormal brain structures and interhemispheric connectivity in children with cerebral palsy (CP). Behavioral researchers have long reported that children with CP exhibit suboptimal performance in diff...
Generative AI has rapidly entered college writing classrooms, raising practical questions about how student texts are changing and what that means for instruction. This study analyzes 255 final-draft analytical essays written in first-year writing cl...
Human chorionic gonadotropin is a glycoprotein hormone produced by human or humanoid syncytiotrophoblasts that differentiate during pregnancy. Due to its superior stability and long-lasting effects compared to luteinizing hormone, it is often used to...
18 January 2023
This study aimed to examine users’ experiences of using running applications. A total of 20,243 online reviews posted by running-application users were collected from the Google Play Store. The data were analyzed using Leximancer to conduct the...
Luteal angiogenesis is regulated by pro-angiogenic hormones including fibroblast growth factor 2 (FGF2) and angiopoietin 1 (Ang1), which are regulated by the adipokine leptin during development. Another adipokine, adiponectin, exhibits an inverse rel...
Southern flounder skin pigmentation is a critical phenotypic characteristic for this species’ survival in the natural environment. Normal pigmentation allows rapid changes of color for concealment to capture prey and UV light protection. In con...
In this study, we examined the interrelations between motivation and self-regulated learning (SRL) strategies in the context of online English language instruction among Chinese university students. Data were collected from 1100 first-year undergradu...
Enhydrosoma texana sp. nov. is described from the northern Gulf of Mexico. The new species is closely related to E. parapropinquum Gómez, 2003 from northwestern Mexico. Both species share several characters including an elongated cylindrical c...
The corpus luteum is a temporary endocrine gland formed in the ovary after ovulation, and it plays a critical role in animal reproductive processes. Tumors rely on the development of an adequate blood supply to ensure the delivery of nutrients and ox...
As a part of ongoing efforts for monitoring benthic ecosystem in the Gulf of Mexico, Harpacticoid copepods were collected from the southwestern Gulf of Mexico. Among them we report three new species of Zosime, and a new species of Peresime for the st...
This paper surveys the strategies that the Contrastive, Typological, and Translation Mining parallel corpus traditions rely on to deal with the issue of target language representativeness of translations. On the basis of a comparison of the corpus ar...
The ovarian corpus luteum has functional mechanisms for formation and regression in the reproductive endocrine system. The main functional events of the corpus luteum are angiogenesis and apoptosis mechanisms. The development of the corpus luteum inv...
To build automatic speech recognition (ASR) systems with a low word error rate (WER), a large speech and text corpus is needed. Corpus preparation is the first step required for developing an ASR system for a language with few argument speech documen...
The development of Natural Language Processing applications tailored for diverse Arabic-speaking users requires specialized Arabic corpora, which are currently lacking in existing Arabic linguistic resources. Therefore, in this study, a multidialecta...
Recognition of emotions and sentiment (affective states) from human audio–visual information is widely used in healthcare, education, entertainment, and other fields; therefore, it has become a highly active research area. The large variety of...
The paper presents the full-size Russian corpus of Internet users’ reviews on medicines with complex named entity recognition (NER) labeling of pharmaceutically relevant entities. We evaluate the accuracy levels reached on this corpus by a set...
The agenesis of the corpus callosum results from a failure in the development of the largest fiber bundle that connects cerebral hemispheres. Patient’s outcome is influenced by etiology and associated central nervous system malformations. We describe...
This research introduces WCC-EC 2.0 (Web-Crawled Corpus—English and Chinese), a comprehensive parallel corpus designed for enhancing Neural Machine Translation (NMT), featuring over 1.6 million English-Chinese sentence pairs meticulously gather...
Collecting speech data for a low-resource language is challenging when funding and resources are limited. This paper describes the process of designing, creating and using the Paldaruo Speech Corpus for developing speech technology for Welsh. Specifi...
Named entity recognition (NER) is a crucial component of various natural language processing (NLP) applications, particularly in healthcare. It involves accurately identifying and extracting named entities such as medical terms, diseases, and drug na...
Although several studies have succeeded in creating medical word lists using corpus analysis methods, there is currently a shortage of comprehensive lists containing medical multi-word terms (MWTs). This study attempts to fill this gap by identifying...
This data descriptor documents a two-level genre classification scheme for metal-music corpus studies derived from Encyclopaedia Metallum’s multi-label genre strings. The scheme assigns each band to one of eleven mutually exclusive primary buck...
French is a strategically and economically important language in the regions where the African language Twi is spoken. However, only a very small proportion of Twi speakers in Ghana speak French. The development of a Twi–French parallel corpus...
This proof-of-concept corpus study examined the technical feasibility of generating and clinically appraising synthetic psychiatric dialogues about hallucinations. A corpus of 200 dialogues was generated with GPT-4o-mini using synthetic personas, str...
Speech processing technology has great potential in the medical field to provide beneficial solutions for both patients and doctors. Speech interfaces, represented by speech synthesis and speech recognition, can be used to transcribe medical document...
With developments of modern and advanced information and communication technologies (ICTs), Industry 4.0 has launched big data analysis, natural language processing (NLP), and artificial intelligence (AI). Corpus analysis is also a part of big data a...
When the National Centre for Human Language Technology (NCHLT) Speech corpus was released, it created various opportunities for speech technology development in the 11 official, but critically under-resourced, languages of South Africa. Since then, t...
Semantic ontologies have been widely utilized as crucial tools within natural language processing, underpinning applications such as knowledge extraction, question answering, machine translation, text comprehension, information retrieval, and text su...
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