bluuebunny/crossref_metadata_2025_split huggingface dataset:
CTD-2555A7.2 promotes bone formation with LncRNA-specific cascade amplification strategy
Authors: Meng Fanjin , Zheng Kaiyuan , Deng Meng , Ma Yuwen , Yu Yang , Li Junxiong , Chen Hong , Meng Shan , Guo Bin , Guo Xiaolan , Jiao Li , Zeng Beilei , Yang Chun , Yang Bing , Yin Chong 
Published: November 2024

Abstract

Osteoporosis is a potential threat to human health. LncRNAs have been deem as important regulators for the pathogenesis of osteoporosis. However, the accuracy and efficiency of LncRNA regulating bone formation still need to be improved. We previously found a repeat sequence on human-derived LncRNA CTD-2555A7.2, implying it may potentially regulate osteoporosis more efficiently. Therefore, we deeply analyzed the function of LncRNA CTD-2555A7.2 on bone formation and further investigated its mechanism and its potential to rescue osteoporosis. Our research demonstrated that CTD-2555A7.2 promoted bone formation through sequestering with multiple miR-381-3p molecules via its repeat sequence. miR-381-3p inhibited osteogenic differentiation by simultaneously targeting 4 essential genes in the wnt signaling pathway, including Apc, Lef1, wnt5a, and Lrp6. The repeat sequence of CTD-2555A7.2 presented a significant therapeutic effect on osteoporosis. Taken together, we identified a dual amplification osteogenic axis CTD-2555A7.2-miR-381-wnt showed a significant regulating effect on osteoporosis. This study laid an important theoretical and experimental foundation to investigate the mechanism of osteogenic-related LncRNAs and also provided novel insights for developing therapeutic drugs for osteoporosis.
O-GlcNAcylation of FBP1 promotes pancreatic cancer progression by facilitating its Lys48-linked polyubiquitination in hypoxic environments
Authors: Zhu Yi , He Xiaoman , Ma Xiaojing , Zhang Yan , Feng Wei 
Published: November 2024

Abstract

Fructose-1,6-bisphosphatase 1 (FBP1), a rate-limiting enzyme in gluconeogenesis, is important for cancer progression. The post-translational regulation of FBP1 in hypoxic environments is still unclear. Here, we report that FBP1 is down-regulated and a low expression level of FBP1 predicts a poor prognosis in pancreatic cancer. Hypoxic environment makes FBP1 more prone to degradation and this effect can be reversed by inhibiting global O-GlcNAcylation signalling. O-linked N-acetylglucosamine transferase (OGT) interact with FBP1 and induce its O-GlcNAcylation at serine 47 residue (FBP1-S47) to modulate its protein function in pancreatic cancer cell. O-GlcNAcylation of FBP1-S47 promote FBP1 degradation and also influence the expression of canonical HIF-1α target genes involved in glucose metabolism, resulting in an increase of glucose uptake and lactate secretion in pancreatic cancer cells. In addition, O-GlcNAcylation of FBP1-S47 facilitates FBP1 K48-linked polyubiquitination at lysine 51 residue (FBP1-K51), in which GlcNAc moiety can serve as a prerequisite for a FBP1 ubiquitin ligase. FBP1 (K51) K48-linked polyubiquitination mediated protein degradation can also promote cancer progression similarly to the O-GlcNAcylation of FBP1-S47. Our data uncover a mechanism whereby FBP1 can be regulated by a protein O-GlcNAcylation-polyubiquitination axis, paving the way to cancer cell metabolic reprogram.
Detecting Sarcasm in User-Generated Content Integrating Transformers and Gated Graph Neural Networks
Authors: Qin Zhenkai , Luo Qining , Zang Zhidong , Fu Hongpeng 
Published: November 2024

Abstract

The widespread use of the Internet and social media has posed significant challenges to automated sentiment analysis, particularly in relation to detecting sarcasm in user-generated content. Sarcasm often expresses negative emotions through seemingly positive or exaggerated language, making its detection a complex task in natural language processing. To address this issue, the present study proposes a novel sarcasm detection model that combines Bidirectional Encoder Representations from Transformers (BERT) with Gated Graph Neural Networks (GGNN), further enhanced by a self-attention mechanism to more effectively capture ironic cues. BERT is utilized to extract deep contextual information from the text, while GGNN is employed to learn global semantic structures by incorporating dependency and emotion graphs. Experiments were conducted on two benchmark sarcasm detection datasets, namely Headlines and Riloff. The experimental results demonstrate that the proposed BERT-GGNN model achieves an accuracy of 92.00% and an F1 score of 91.51% on the Headlines dataset, as well as an accuracy of 86.49% and an F1 score of 86.59% on the Riloff dataset, significantly outperforming the conventional BERT-GCN models. The results of ablation studies further corroborate the efficacy of integrating GGNN, particularly for handling complex ironic expressions frequently encountered in social media contexts.
A reliable model to strengthen community-based water quality monitoring and surveillance via field test kits
Authors: Kumar Jagdish , Garg Aarti , . Gaurav , Singh Vivek Narayan , Das Mukul 
Published: November 2024

Abstract

Field test kits are indispensable tools for strengthening community-based water quality monitoring and surveillance programs. However, the reliability of field test kits is important, as these kits are being used to test large number of water sources in developing countries due to insufficient laboratory resources. A field test kit validation protocol is essentially needed to strengthen the quality control mechanism during the kit production and procurement stages. The technical efficiency of a kit is the most important criterion for assessing its sensitivity and specificity to accurately detect the parameter of interest. The adequacy, safety and information to users are also very significant aspects to ensure effective and safe usage of kits. In the present study, arsenic field test kits were evaluated in the laboratory as well as at field by performing in situ testing. Statistical weight was assigned to each parameter, such as technical efficiency, adequacy, safety and information, to estimate the ‘individual parameter weight’, and then an importance factor was applied to estimate the cumulative parameter weight to assess the effectiveness of the field test kits. This study provides inputs for the development of a protocol for the reliability assessment of field test kits.
Achieving lower temperature modification and its mechanism of SBS modified asphalt based on pre-swelling/extraction process and compositing with C9 petroleum resin
Authors: Chen Wei , Fan Shifa , He Xingyang , Su Ying , Jin Zihao , Liu Qiao , Oh Sang-Keun , Zhou Han , Tang Dakun , Dong Bo 
Published: November 2024

Abstract

Achieving lower temperature modification of SBS modified asphalt is of vital significance in energy conservation and carbon emission reduction. The compatibility between styrene-butadiene-styrene (SBS) and base asphalt is a crucial factor for the excellent performance of SBS modified asphalt (SBSMA), however the compatibility improvement under lower temperature faces challenges and its modification mechanism has little scientific backing. In this study, SBS was firstly pretreated with naphthenic oil as swelling agent and petroleum ether as extractant to prepare pre-swelling SBS (npSBS), and the effects of SBS pre-swelling/extraction process combined with C9 petroleum resin on the conventional properties, compatibility, rheological and thermodynamic properties of SBSMA prepared at a lower shear temperature (150 ℃) were studied by physical properties, storage stability, DSR, MSCR and DSC characterization. The results demonstrated that SBS pre-swelling/extraction treatment improved the low temperature performance as well as compatibility of SBSMA while reduced its high temperature performance. However, C9 petroleum resin could effectively compensate for the loss of high temperature and rutting resistance performance. The comprehensive performance of npSBS modified asphalt incorporating 6 wt% C9 petroleum resin prepared at 150℃ is comparative with SBSMA prepared at 180 ℃. The pre-swelling/extraction process combined with C9 resin has synergistic effect in improving the compatibility of SBS in modified asphalt under lower modification temperature. This work provides a feasible strategy for environmentally benign and low-carbon modification of SBSMA.
Intensification of Pre-Monsoon Cyclone: Insights from spring snowmelt discharge
Authors: Maneesha K. , Patnaik KVKRK , Ganapathi P. , Ratna Satyaban B 
Published: November 2024

Abstract

The intensification of pre-monsoon cyclones in the northern Bay of Bengal, particularly Cyclones Yaas (2021), is increasingly attributed to the rising influx of snowmelt water from the Ganges and Brahmaputra rivers. Cyclone Yaas intensified over high sea surface temperatures (31.5 to 32°C) and significant freshwater discharge, leading to notable stratification and increased ocean heat content in the upper layers. As Yaas moved through a warm core eddy, the sinking of water caused the isotherms to deepen by 25–50 meters, a process that was further intensified by freshwater discharge due to spring snowmelt. Key ocean heat content in the top 30-meter layer was critical during Yaas's formation, with total incoming shortwave radiation of 420 W/m² and net radiation of 390 W/m² closely aligning with the heat content of 400 W/m² in the central and western Bay, providing the necessary energy for intensification. This study employs integrated datasets, including in situ observations, ERA5-based freshwater flux analysis, and high-resolution numerical simulations, to reveal cyclone-ocean interactions. Findings indicate that similar snowmelt dynamics contributed to the intensification of recent cyclones. With the rising temperatures due to global warming, even minor changes in increasing snowmelt and surface runoff can significantly affect upper ocean dynamics. This highlights the critical role of pre-monsoon freshwater discharge in strengthening cyclones and emphasises the need for better prediction models to understand future cyclone behavior, which can help reduce risks in this vulnerable region. Additionally, in terms of biological processes, the increased fresh water discharge during spring in the northern Bay of Bengal caused high stratification and intense downwelling, which suppressed nutrient-rich subsurface waters and resulted in limited chlorophyll concentrations (1 mg/m³) along Yaas's track, despite phytoplankton blooms in regions of high wind stress.
Enhancing Patient-Physician Communication: Simulating African American Vernacular English in Medical Diagnostics with Large Language Models
Authors: Lee Yeawon , Chang Chia-Hsuan , Yang Christopher C. 
Published: November 2024

Abstract

Effective communication plays a pivotal role in mitigating health disparities. However, linguistic differences, such as African American Vernacular English (AAVE), can lead to communication gaps between patients and physicians, consequently impacting healthcare effectiveness and patient outcomes. This research delves into the potential of GPT-4, a large language model, to replicate AAVE in medical dialogues, with the aim of exploring its potential to address these communication barriers. We devised four prompt types: medical case-only prompts (BaseP), prompts containing demographic details (DemoP), prompts with AAVE-specific linguistic features (LingP), and prompts integrating DemoP and LingP (ComP). Through statistical analyses, including ANOVA and t-tests, applied to case simulations from the United States Medical Licensing Examination (USMLE), we evaluated GPT-4's capacity to mirror AAVE linguistic attributes. The findings indicate that GPT-4 effectively emulated AAVE traits, with ComP producing the most AAVE linguistic features. Notably, DemoP elicited more phonological features than LingP, implying an intrinsic correlation between the African American demographic and specific linguistic markers in GPT-4. However, the model encountered challenges with certain AAVE constructs, such as question inversion and unique vocabulary. This study underscores GPT-4's potential to enhance culturally sensitive healthcare communication while emphasizing the necessity for further research to refine its precision in simulating diverse linguistic styles for practical medical training applications.
Electrochemical Reactivity of PZT Materials in Li-Ion and Na-Ion Batteries
Authors: Demirkan M. Taha , Dogrusoz Mehbare 
Published: November 2024

Abstract

PZT (lead-zirconium oxide-titanate) materials are lead-based common piezoelectric materials that are used in a very wide range of applications because of their unique characteristics. This report investigates the electrochemical activity of PZT materials as anode material versus metallic lithium and sodium. CV, EIS, XRD and capacity tests are engaged to examine the electrochemical activity of these materials as electrodes. The results show that the electrochemical activity of PZT materials for both types of batteries is significant. The resulting capacity values reach approximately 200mAh/g for Li-ion battery and 100mAh/g and Na-ion battery systems after 250 cycles at a 10mA/g rate.
Epigenomic analysis of high-grade T1 bladder cancer reveals subtypes with clinical implications that display extensive intra-tumor heterogeneity with spatial features.
Authors: Cejas Paloma , Bellmunt Joaquim , Xie Yingtian , Hully Margot , Gomez Miguel Munoz , Kukreja Shweta , Liria Sonsoles , Li Rong , Qiu Xintao , Jiang Yijia , Font-Tello Alba , Nunez Marie , Epstein Ilana , Hernández-Llodrà Silvia , Lorenzo Marta , Menendez Silvia , Juanpere Nuria , Choueiri Toni , Brown Myles , Long Henry 
Published: November 2024

Abstract

High-Grade T1 (HGT1) Non-Muscle Invasive is an early-stage of Bladder Cancer (NMIBC) with an unpredictable relapse and recurrence rate. New biomarkers are needed for patient risk prediction and to determine treatment. Here, we analyze the molecular characteristics of HGT1 NMIBC by combining multi-omics at bulk and single-cell resolution. We have identified two chromatin states that reflect variable degrees of basal and luminal inflammatory characteristics. These subtypes show relevant functional differences and are associated with clinical outcome. Luminal-like inflammatory (LLI) tumors are associated with a significantly higher risk of progression. At a single-cell resolution, RNA-seq shows the existence of a high degree of intra-tumor heterogeneity with co-existence of LLI and Basal-like (BL) subtypes within the same tumor specimen. The immunohistochemical validation in an independent patient cohort reveals subtypes coexistence in more than 40% patients. The subtypes show distinct spatial features within the tissue with the BL subtype consistently being in close proximity to the vascular stroma and the LLI subtype towards the interior of the tumor mass. Spatial transcriptomics at a single cell resolution further validate the specific location of the subtypes. Altogether, our results illustrate the high intratumor heterogeneity existing in HGT1 NMIBC bladder cancer, with spatial features that suggest microenvironment crosstalk. Based on our findings, multitarget therapy could be needed to target the extensive intra-tumor heterogeneity existing in bladder cancer.
A hybrid monthly hydrological prediction model based on LSTM-EBLS and improved VMD
Authors: Zhou Boya , Wang Lehao , Han Ying 
Published: November 2024

Abstract

Scarce of large sample data makes deep learning based monthly hydrological prediction still challenging. Compared with deep learning methods, broad learn-ing system (BLS) has the advantages of fast operation and small sample data suita-bility. While, using BLS alone to predict, the accuracy is relatively low. Using the weights between the input vector and the output gate in the long short-term memory (LSTM) as the initial weights of the BLS, the extended BLS (EBLS) is constructed as temporal feature extraction module for monthly hydrological prediction. Considering time-consuming problem resulting by variational mode decomposition (VMD), an improved version of VMD (IVMD) is presented in this paper. Finally, a hybrid monthly hydrological forecast model based on LSTM, EBLS and IVMD is proposed. The model is trained and validated to monthly hydrological prediction, and the results demonstrated that: (1) For multi-month ahead hydrological prediction, the presented model outperforms the discussed state of the art models. Meawhile, the peak fitting prediction is also enhanced. (2) Compared with CNN-LSTM structure, LSTM-EBLS improves prediction accuracy. (3) Efficient VMD parameter selection method and high correlation decomposition signals selection further enhance computation efficiency.
Comparison and Evaluation of Interferential Current Therapy and Transcutaneous Electrical Nerve Stimulation in Temporomandibular Joint Disorders: A Prospective Interventional Study
Authors: S Sinchana , Gurraram Prashanthi , E Jayakanthan , Narayan Vivek , Subramanian Abinaya , VC Divya , Rathan Lakshmi , Rajan Jyotsna , Vignesh Arul , Rangarajan Bharath 
Published: November 2024

Abstract

Aim
This study evaluated the effectiveness of transcutaneous electrical nerve stimulation (TENS) and interferential current therapy (IFT) to decrease jaw pain and muscle tenderness, improve maximum vertical mouth opening, and compare intra-operative patient comfort.
Methodology:
This comparative study was conducted in the outpatient oral and maxillofacial surgery department of the SRM Kattankulathur Dental College and Hospital. Twenty participants with chronic or recurrent jaw pain were randomly assigned to either Group A or Group B for the study. IFT and TENS were administered to Groups A and B. They were evaluated for intraoperative comfort, muscle tenderness, mouth opening, and pain over three treatment sessions.
Results
Both groups showed improvement in pain, muscle tenderness, and mouth opening after three follow-up sessions. Compared to TENS, IFT significantly improved patient comfort (p < 0.05). While there was no significant difference in pain and muscle tenderness reduction between the two groups at 5% significance level (p < 0.05), IFT demonstrated slightly better improvement in vertical mouth opening.
Conclusion
IFT is frequently employed to treat musculoskeletal disorders; however, its effectiveness in alleviating pain associated with temporomandibular disorders is still poorly understood. This study observed significant pain reduction in both IFT and TENS groups, along with a decrease in masticatory muscle and TMJ tenderness and improvement in mouth opening. Compared to TENS, IFT provided superior intra-operative comfort hence overcoming the drawback associated with TENS. These findings suggest that IFT may serve as an effective therapeutic option for temporomandibular disorder.
Coronavirus disease 2019 pandemic-related changes in pediatric patient numbers in Tokushima, Japan: analysis of medical claims data
Authors: Tominaga Ayumu , Nakagawa Kazumi , Nakagawa Mai , Fujimaru Ryo , Mori Yoshiro , Morioka Hisayoshi 
Published: November 2024

Abstract

Background
The coronavirus disease 2019 (COVID-19) pandemic has changed the number of patients visiting medical institutions.
Objective
This study aimed to investigate the impact of the COVID-19 pandemic on the number of pediatric inpatients and outpatients visiting medical institutions.
Methods
We evaluated medical claims data of individuals aged < 15 years insured by the National Health Insurance in Tokushima Prefecture, Japan. Using multivariable negative binomial regression models, we calculated the inpatient and outpatient incident rate ratios (IRRs) for FY2020 (COVID-19 pandemic period) compared to FY2019 (pre-pandemic period).
Results
The inpatient and outpatient IRRs were 0.58 (95% confidence interval [CI]: 0.42–0.80) and 0.79 (95% CI: 0.57–1.09) in FY2020, respectively, had significantly decreased, and were not significantly different from the reference values in FY2019.
Conclusions
The results of this study suggest that the number of pediatric inpatients and outpatients decreased during the COVID-19 pandemic, with a greater impact on inpatients. Future research is needed to confirm the effects of the disease and the reasons for the decrease in pediatric visits, post-pandemic rebound, and pediatric health outcomes.
Trial registration:
This study doesn’t report the results of healthcare intervention. Therefore, the registration number and registration date are not stated.
PROMPTHEUS: A Human-Centered Pipeline to Streamline SLRs with LLMs
Authors: Torres João Pedro Fernandes , Mulligan Catherine , Jorge Joaquim , Moreira Catarina 
Published: November 2024

Abstract

The growing volume of academic publications poses significant challenges for researchers conducting timely and accurate Systematic Literature Reviews, particularly in fast-evolving fields like artificial intelligence. This growth of academic literature also makes it increasingly difficult for lay people to access scientific knowledge effectively, meaning academic literature is often misrepresented in the popular press and, more broadly, in society. Traditional SLR methods are labor-intensive and errorprone, and they struggle to keep up with the rapid pace of new research. To address these issues, we developed PROMPTHEUS: an AI-driven pipeline solution that automates the SLR process using Large Language Models. We aimed to enhance efficiency by reducing the manual workload while maintaining the precision and coherence required for comprehensive literature synthesis. PROMPTHEUS automates key stages of the SLR process, including systematic search, data extraction, topic modeling using BERTopic*, and summarization with transformer models. Evaluations conducted across five research domains demonstrate that PROMPTHEUS reduces review time, achieves high precision, and provides coherent topic organization, offering a scalable and effective solution for conducting literature reviews in an increasingly crowded research landscape. In addition, such tools may reduce the increasing mistrust in science by making summarization more accessible to laypeople. The code for this project can be found on the GitHub repository at https://github.com/joaopftorres/ PROMPTHEUS.git
Loss of Synaptic Munc13-1 Underlies Neurotransmission Abnormalities in Spinal Muscular Atrophy
Authors: Moradi Mehri , Deng Chunchu , Sendtner Michael 
Published: November 2024

Abstract

Spinal muscular atrophy (SMA) is a devastating neurodegenerative disease characterized by degeneration of spinal motoneurons, leading to muscle atrophy and synaptic loss. SMN functions in mRNA splicing, transport, and local translation are crucial for maintaining synaptic integrity. Within the presynaptic membrane, the active zone orchestrates the docking and priming of synaptic vesicles. The Munc13 family proteins are key active zone components that operate precise neurotransmitter release in conjunction with voltage-gated Ca2+ channels (VGCCs). However, the role of Munc13s in synaptic dysfunction in SMA remains elusive. Our findings reveal that Munc13-1 loss, but not Munc13-2, is closely linked to synaptic aberrations in SMA. Specifically, Munc13-1 mRNA localization in axons is dependent on Smn, and its disruption leads to impaired AZ assembly and VGCC clustering in motoneurons, ultimately reducing neuronal excitability. In contrast, Munc13-2 does not appear to be essential for AZ assembly or motoneuron differentiation, as its functions can be compensated by Munc13-1. These findings highlight the pivotal role of Munc13-1 in synapse integrity and point to potential therapeutic targets for mitigating synaptic loss in SMA.