bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circ_16601 facilitates Hippo pathway signaling via the miR-5580-5p/FGB axis to promote my-CAF recruitment in the TME and LUAD progression
Authors: Zhou Jie , Li Peiwei , Zhao Xiaogang , Zhao Yuanhao , Luo Junwen , Deng Yupeng , Jiang Ning , Xiao Zhaohua , Zhang Wenhao , Zhou Yongjia , Zhao Jiangfeng , Li Peichao , Li Yuliang , Tian Zhongxian 
Published: November 2023

Abstract
Background
Lung cancer represents a significant public health issue in China, given its high incidence and mortality rates. Circular RNAs (circRNAs) have been recently proposed to participate in the development and progression of tumors. Nevertheless, their particular roles in the pathogenesis of lung adenocarcinoma (LUAD), the tumor microenvironment (TME), and the underlying molecular mechanisms are still not well understood.

Methods
High-throughput sequencing was used to analyze the circRNAs expression profiles in 7 pairs of human LUAD tissues. shRNA was used to knockdown the YAP1 and FGB genes. RNA sequencing and RT-qPCR were performed to classify the regulatory effects of circ_16601 in LUAD cells. The progression effect of circ_16601 on lung cancer was investigated in vitro and in vivo.

Results
The circ_16601 is significantly elevated in LUAD tissues compared to adjacent normal lung tissues, and its high expression is positively associated with poor prognosis in LUAD patients. Additionally, circ_16601 overexpression promotes LUAD cell proliferation in vitro and increases xenograft tissue growth in mice in vivo; circ_16601 also could recruit fibroblasts to cancer associate fibroblasts. Mechanistically, circ_16601 can directly bind to miR-5580-5p, preventing its ability to degrade FGB mRNA and enhancing its stability. Subsequently, circ_16601 promotes the activation of the Hippo pathway in a YAP1-dependent manner, leading to LUAD progression.

Conclusions
Our findings shed valuable insights into the regulatory role of circ_16601 in LUAD progression and highlight its potential as a diagnostic and therapeutic target in LUAD. Overall, this study provides theoretical support to improve the prognosis and quality of life of patients suffering from this devastating disease.
NeuroD1 administration ameliorated neuroinflammation and boosted neurogenesis in a mouse model of subarachnoid hemorrhage
Authors: Chen Ping , Liu Xue-Yan , Lin Mou-Hui , Li Yu-Xi , Kang De-Zhi , Ye Zu-Cheng , Lin Qing-Song 
Published: November 2023

Abstract
Background
Subarachnoid hemorrhage (SAH) causes significant long-term neurocognitive dysfunction, which is associated with hippocampal neuroinflammation. Growing evidences have shown that astrocytes played a significant role in mediating neuroinflammation. Recently, in vivo reprogramming of astrocytes to neurons by NeuroD1 or PTBP1 administration has generated a lot of interests and controversies. While the debates centered on the source of neurogenesis, no attention has been paid to the changes of the astrocytes-mediated neuroinflammation and its impact on endogenous neurogenesis after NeuroD1 administration.

Methods
80 adult male C57BL/6 mice were used in this study. SAH was established by pre-chiasmatic injection of 100 μl blood. AAV–NeuroD1–GFP virus was injected to the hippocampus 3 day post-SAH. Neurocognitive function, brain water content, in vivo electrophysiology, Golgi staining, western blot and immunofluorescent staining were assessed at day 14 post-virus injection.

Results
NeuroD1 administration markedly attenuated reactive astrocytes-mediated neuroinflammation by reversing neurotoxic A1 astrocytes transformation, decreasing the secretion of neuroinflammatory cytokines, and reducing the activation of harmful microglia. NeuroD1 treatment significantly reversed the brain–blood barrier impairment and promoted the release of neurotrophic factors pleiotrophin (PTN), all of which contributed to the improvement of cellular microenvironment and made it more suitable for neurogenesis. Interestingly, besides neurogenesis in the hippocampus from cells transfected with NeuroD1 at the early phase of SAH, NeuroD1 administration significantly boosted the endogenous neurogenesis at the late phase of SAH, which likely benefited from the improvement of the neuroinflammatory microenvironment. Functionally, NeuroD1 treatment significantly alleviated neurocognitive dysfunction impaired by SAH.

Conclusions
NeuroD1 significantly promoted neurofunctional recovery by attenuating reactive astrocytes-mediated neuroinflammation and boosting neurogenesis decimated by SAH. Specifically, NeuroD1 efficiently converted transfected cells, most likely astrocytes, to neurons at the early phase of SAH, suppressed astrocytes-mediated neuroinflammation and boosted endogenous neurogenesis at the late phase of SAH.
Optimization of hydraulic design of approach channel of spillway by hydraulic model studies
Authors: Ramarao Vankayalapati S. , Reddy Mutukuru G. Muni , Sahu Kanhu C. 
Published: November 2023

AbstractThe approach channel is intended to divert the flow safely from its original course and the diversion may be intended towards spillway, power intake or any other hydraulic structure. The hydraulic design of the approach channel involves determining cross-section dimensions of the channel for the design flood at a given flow velocity, slope and shape or alternatively determining the discharge capacity for the given layout and cross-section dimensions. Proper alignment of approach channel minimizes the head loss by reducing the oblique flows. Sometimes, the spillway approach channel is submerged with unconfined boundaries, asymmetrical in layout. However, these conditions are site-specific. Hydraulic model studies play a substantial role in testing these kinds of layouts to find out an optimum layout. Studies have been carried out on a 1:140 scale model of the spillway to optimize the layout of an unconfined, unlined, asymmetrical, and submerged approach channel by the assessment of velocity profiles and flow pattern in the approach channel for different shaped layouts. Studies indicated that the efficient layout of the approach channel is governed by its maximum available width and straightforward approach, prevention of lateral inflows by the provision of additional embankments and provision of suitable length of the guide bund.
Paradigm Shift in the Management of Metabolic Diseases—Next-Generation Incretin Therapy
Authors: Ahrén Bo 
Published: November 2023

Abstract
Recently impressive weight loss has been reported for novel incretin therapies based on dual-and triple-hormone receptor coagonists. These agents have potential as being positioned as early therapeutics for metabolic diseases for which weight loss is preferred, such as type 2 diabetes, obesity, cardiovascular diseases, and nonalcoholic liver disease. This development will change the landscape of future therapy and also place weight reduction at the centerpiece for therapy of metabolic diseases.
Temperament and attachment dimensions as predictors for impairments of personality functioning according to DSM-5
Authors: Machowicz Małgorzata , Cieciuch Jan 
Published: November 2023

Cel pracyCelem badania było określenie roli wymiarów temperamentu i przywiązania dla zaburzeń osobowości, definiowanych zgodnie z kryterium A z DSM-5, jako nieprawidłowości w funkcjonowaniu intrapsychicznym i interpersonalnym.MetodaBadanie zostało przeprowadzone w Polsce w grupie 391 uczestników. Wykorzystano w nim następujące narzędzia: Krótką Skalę Poziomu Funkcjonowania Osobowości LPFS-BF 2.0 (Level of Personality Functioning Scale-Brief Form 2.0), Kwestionariusz Metawymiarów Temperamentu TMQ (Temperament Metadimensions Questionnaire), Kwestionariusz Stylu Przywiązania ASQ (Attachment Style Questionnaire) oraz Zrewidowaną Skalę Doświadczeń w Bliskich Związkach ECR-R ( Experiences in Close Relationships-Revised).WynikiŁączne oszacowanie znaczenia temperamentu oraz przywiązania dla wyjaśniania nieprawidłowości w funkcjonowaniu osobowości doprowadziło do następujących konkluzji: (1) Temperament w większym stopniu wyjaśniał nieprawidłowości w funkcjonowaniu intrapsychicznym niż interpersonalnym. (2) Predyktorem zaburzeń osobowości była w większym stopniu temperamentalna Reaktywność niż Aktywność. (3) Dodanie przywiązania zwiększyło wielkość wyjaśnionej wariancji zaburzeń osobowości. (4) Przywiązaniowe Unikanie w większym stopniu wyjaśniało nieprawidłowości w funkcjonowaniu interpersonalnym, podczas gdy przywiązaniowy Lęk w większym stopniu wyjaśniał nieprawidłowości w funkcjonowaniu interpersonalnym.WnioskiNieprawidłowości w funkcjonowaniu osobowości ujęte w Kryterium A DSM-5 są w znacznym stopniu wyjaśniane dwoma rodzajami zmiennych: bardziej trwałym i wrodzonym temperamentem oraz nabytym w toku wczesnych interakcji przywiązaniem. Takie rozróżnienie jest istotne z perspektywy klinicznej, w której skuteczne oddziaływania mogą być nakierowane na te właściwości, które mogą podlegać modyfikacji oraz brać pod uwagę te, których modyfikacja jest trudna lub niemożliwa.
The Local Anesthetic Activity of Lavandula angustifolia and Eugenia caryophyllata Essential Oils
Authors: Uthirapathy Subasini 
Published: November 2023

Previous studies show that Lavandula angustifolia (lavender) and Eugenia caryophyllata (clove) essential oils can help relieve dental pain. Clove oil and lavender oil were tested as topical anesthetics in this study on rabbits, and their effects and likely mechanisms of action were analyzed. Clove oil and lavender oil were extracted by hydrodistillation using a Clevenger-setup apparatus. Topically applying lidocaine, clove oil, or lavender oil topically all significantly reduced corneal sensitivity. The sensitivity of the cornea was successfully reduced by treatments consisting of lidocaine at a concentration of 0.5%, 25 μg of clove oil, and 50 μg of lavender oil. When clove oil is applied topically to the cornea, it produces effects similar to those of a local anesthetic due to the involvement of the cholinergic system. To achieve the desired effect of producing local anesthesia in the cornea of the rabbit, lidocaine, clove oil, and lavender oil were applied topically to the animal. A noticeable local
anesthetic effect was produced when sub-anesthetic doses of lidocaine were combined with sub-anesthetic doses of lavender or clove oil.
The Learning Potential of a TV Series in Promoting L2 Incidental Learning of Idiomatic and Non-Idiomatic Phrasal Verbs
Authors: Alshumrani Hassan 
Published: November 2023

Background: The bulk of past studies, which have shown that audiovisual materials are potential sources for phrasal verb learning, have focused on short materials. However, the incidental learning of idiomatic and non-idiomatic phrasal verbs through extensive viewing of a complete season of a TV series has remained underexplored.
Purpose: The main aim of the present study is to explore the learning potential of viewing an entire season of a TV series in incidental learning of idiomatic and non-idiomatic phrasal verbs.
Method: The study recruited 75 second language (L2) learners and placed them randomly into an experimental group and a control group. Data were gathered through the updated vocabulary levels test and two vocabulary tests. Over one month, the experimental group viewed an entire season of a TV series, and the control group followed their regular learning routine. Immediately after the end of the eight viewing sessions, the experimental and control groups completed the form and meaning post-tests.
Results: The results indicated that viewing a TV series contributed to the development of phrasal verb knowledge. The experimental group developed both form and meaning knowledge of the target phrasal verbs, and greater gains were made at the form recognition level. The research also revealed that although repetition of the target phrasal verbs in the series significantly correlated with the learning gains reported from both the form and meaning tests, its role in meaning was greater.
Implications: The study provides further valuable insights into how watching a TV series affects the learning of idiomatic and non-idiomatic phrasal verbs. It also advances our understanding of how repetition impacts phrasal verb uptake.
Building Scientific Knowledge in English: Integrating Content, Cognition and Communication in Secondary School CLIL Biology
Authors: Gerns Pilar 
Published: November 2023

Background: The focus of this paper is on Dalton-Puffer’s construct of the Cognitive Discourse Function (cdf) (2013), which offers clil teachers a practical framework through which they can more easily understand the complex idea of integrating the content, cognition, and language required for their subject. These functions have mainly been addressed from classroom observations or task prompts, and little is known about their teachability and effectiveness on students’ content knowledge.
Purpose: This paper explores whether the cdf of ‘comparing’ (a subcategory of ‘classify’) can be taught to Spanish seventh-grade clil biology students (N = 37) and examines the effect of teaching it explicitly on their written performance.
Method: An operational framework was developed to define this cdf and an exploratory study was performed in which students were asked to hand in written comparisons. Quantitative and qualitative pre-and post-tests were applied.
Results: Significant results were obtained for the experimental groups, which improved in both content and language learning, scoring higher on inclusion of content points, justification of their scientific claims, concept formation and use of lexico-grammatical forms.
Conclusion: These findings add to our understanding of the importance of integrating cognition and language in teaching and learning natural sciences, within which CDFs can be a useful starting point.
ChatGPT: Where Is a Silver Lining? Exploring the realm of GPT and large language models
Authors: Tikhonova Elena , Raitskaya Lilia 
Published: November 2023

Introduction: the JLE editors analyse the scope and depth of the subject area of ChatGPT and related topics based on the Scopus database. The Scopus statistics prove a skyrocketing rise in the number of publications in the field in question during 2023. The major alarming themes cover authorship and integrity related to AI-assisted writing, threats to educational practices, medicine, and malevolent uses of ChatGPT.
Keywords Explained: the key terminology is defined, including generative pre-trained transformers (GPT); ChatGPT; artificial intelligence (AI); AI chatbots; natural language processing (NLP); large language models; Open AI; large language model (LLM).
International Research on ChatGPT: as of September 24 2023, the Scopus database has indexed 1,935 publications, with “ChatGPT” in the title, abstract, or keywords. A skyrocketing rise in the number of research has been reported since the early days of 2023. 1,925 indexed publications out of 1,935 were published in 2023. Most of them came from the USA, India, the UK, and China. The number of documents indexed in the Scopus database as well as PubMed, arXiv and others are exponentially rising.
ChatGPT in Education: the academic community has been actively discussing the challenges education will face in the era of ChatGPT in the context of the fundamental threats posed to the educational system. The latter include assessment procedures, information accuracy, and skill devaluation. As many complex technologies, generative pre-trained transformers are ambivalent in nature, providing a great potential for learning and education at large, including new approaches based on critical thinking and awareness of the pros and cons of AI.
ChatGPT in Science: great prospects for text generation and improvements in language quality adjoin to dubious authorship and potentially inconsistent and erroneous parts in the AI-produced texts. Publishers and journals are working out new publishing policies, including publishing ethics towards AI-assisted or AI-improved submissions.
Conclusion: JLE is planning to revise its editorial policy to address the new challenges from AI technologies. JLE editors welcome new submissions of research articles and reviews as well as special issues on ChatGPT and related themes, with potential applications of chatbots in education, innovative approaches to writing assignments, facilitating personalized learning, academic integrity issues related to AI-supported writing, etc. in focus.
Educação do Campo no norte do Tocantins: relatos das experiências da Licenciatura em Educação do Campo na UFT
Authors: Coelho George Leonardo 
Published: November 2023

Dando continuidade ao extenso projeto de entrevistas com professores e pesquisadores que se dedicam à Educação do Campo em Universidades Públicas brasileiras, o presente relato de experiência vem enriquecer esse repertório. As duas primeiras entrevistas publicadas pela Revista Brasileira de Educação do Campo trouxeram os pontos de vista e as experiências dos Professores Alessandro Pimenta (UFT) e Ramofly Bicalho (UFFR). A presente entrevista foi gentilmente concedida pelo colega e professor Maciel Cover. Antes de apresentar a entrevista é importante algumas considerações. Conheci esse jovem pesquisador quando os cursos de Educação do Campo de Arraias e Tocantinópolis, ambos da Universidade Federal do Tocantins, estavam na batalha para implantar a Escola da Terra em 2017. Na ocasião conversamos bastante sobre a necessidade de alcançar os professores que atuam em comunidades rurais, quilombolas e indígenas. De lá para cá, nos encontramos em Congressos e Encontros sobre a Escola da Terra. Nas conversas entre as atividades, o professor Maciel demonstrou uma sensibilidade e afinidade enorme com as comunidades vítimas da expropriação fundiária ocorrida no Brasil. Por essa razão, achei oportuno convidá-lo para participar desse projeto, onde procuro realizar o registro das memórias de indivíduos dedicados à Educação do Campo. Nessa entrevista, o Prof. Dr. Maciel Cover nos contou sobre seus estudos desde as primeiras experiências no curso de Pedagogia da Terra no Rio Grande do Sul até seu estágio de pós-doutoramento em Campinas-SP, assim como, seus primeiros passos na docência até sua atuação na UFT-Tocantinópolis. Então, espero que o leitor acompanhe a entrevista concedida por esse educador assumidamente militante em prol da Educação voltada para as comunidades campesinas brasileiras.
Comparative Analysis of Sonic Velocities in Partially Saturated Rocks Containing H2, CH4, N2 and CO2
Authors: Li Jimmy Xuekai , Hu Jinghao , Zhang Tiancheng , Chen Zhongwei 
Published: November 2023

Abstract
The understanding of the seismic signature of the partially saturated formation is critical to seismic monitoring in the hydrogen geo-storage, CO2 geo-sequestration and geophysical survey and exploration of oil and gas reservoir. The main objective of this study is to model the wave propagation in partially saturated rocks containing two immiscible fluids (i.e., gas-water), with a comparative case study on hydrogen (H2), methane (CH4), nitrogen (N2) and carbon dioxide (CO2) bearing rocks. The sonic velocities and the attenuations are influenced by several parameters, which interact in a complex pattern, particularly when the rock is saturated with multiple fluids. We developed a rock physics model that considers the effects of patchy saturation, wettability, effective pressure, and relative permeability. By examining wave propagation in each fluid-saturated case against water saturation, we improve our understanding of sonic velocity changes as water saturation varies. This provides valuable insights for seismic and sonic monitoring during the injection and extraction of H2, CH4, N2 and CO2.
Understanding Compressibility Coefficients in Heterogeneous Fractured Rocks and Implications for CSG Reservoir Simulation
Authors: Santiago V. , Rodger I. , Hayes P. , Leonardi C. , Deisman N. 
Published: November 2023

Abstract
A variety of different compressibility terms, including cleat compressibility and bulk compressibility, are used when modelling coal seam gas (CSG) reservoirs. The relationship between different compressibility terms is often theoretically straightforward, but in practice may be much more complex, particularly when considering heterogeneous and/or fractured rocks. This paper outlines experimental work measuring different compressibility terms using printed rock samples, and analysis that demonstrates some of the challenges associated with relating these compressibilities. Three-dimensional printed rock samples with heterogeneity (layers of different stiffness), some of which included planar fractures, were created. The compressibility of these samples was measured based on changes in permeability (as might be used to estimate cleat/fracture compressibility) and also based on volumetric strain. Simple models were history matched to estimate the cleat compressibility, which is then used to calculate a bulk compressibility based on theoretical relationships. This is then compared to the bulk compressibility measurement based on volumetric strain. Initial results indicate that the relationship between the different compressibility terms is much more complex than theory suggests. The theoretical relationship of bulk compressibility with pore compressibility yields values up to one order of magnitude different from that of laboratory measurements. Our study highlights the importance of cleat compressibility in modelling CSG reservoirs and the significance of bulk compressibility in estimating deformation associated with CSG production. We believe our findings will contribute to a better understanding of compressibility terms in CSG reservoir modelling and encourage further research in this area.
A Fit-For-Purpose Automated Decline Curve Analysis Using Python and BI Dashboard
Authors: Kumar A. , Nukala S. T. , Deshpande V. , Mishra N. K. , Solohaga D. , Singh A. , Wydiabhakti T. B. , Rajput S. , Ashish S. , Lopes V. S. , Ghosal D. , Kumar V. , Kumar S. 
Published: November 2023

Abstract
Decline curve analysis (DCA) is a curve fitting procedure used for analyzing declining production rates and forecasting future performance of oil and gas wells. Certain types of standard curves are fit, based on the past production performance which are then extrapolated to predict the future well performance. It is the basic tool for estimating recoverable reserves and can be used when the production history is long enough that a decline trend can be identified.
One of the key technologies used in the process is an automated DCA methodology which can be automatically run on a machine without any human interaction and with minimum errors. The traditional DCA is derived by Arp's equation, where three types of decline curves have been identified: exponential, hyperbolic, and harmonic.
In this research work, authors have developed a python code that apply DCA methods to wells in an unbiased, systematic, and automated manner. This method contrasts with manual DCA, which was the widespread practice of the industry. As industry has entered digital transformation era, it is imperative that digital capabilities be coupled with conventional knowledge of DCA. This can be used as a handy tool to generate type curves for fitting decline curves and to further analyze using business intelligence (BI) tools, for a batch of oil wells under study.