bluuebunny/crossref_metadata_2025_split huggingface dataset:
A nanovaccine with dual toll-like receptor agonists based on CaP mineralized PLGA nanoparticle for preventing HPV infections
Authors: Chi Yongjie , Jia Chengcheng , Zhong Weiting , Yang Zhu , Cheung Ocean , Lu Yu , Zhao Yanping , Wang Hongjun , Chen Jianping , Wang Lianyan 
Published: August 2023

Abstract
In developing countries where females are threatened by HPV, reducing the costs of production and transport of HPV vaccine is still one of pressing issues that needs a sustainable solution. Although HPV vaccines currently in use with aluminum adjuvants demonstrate significant stimulation of humoral immunity, the weak cellular immune response they elicit indicates a need for further improvement. On the other hand, the issue of poor immune promotion effect of single use of toll-like receptor agonists also needs to be addressed. Here, a double Toll like receptor agonist (R848, Poly (I:C)) HPV vaccine, with HPV16 L1 pentamer as antigen, was fabricated by using calcium phosphate (CaP) mineralized PLGA nanoparticles. This reinforced vaccine shows better stimulation of both humoral and cellular immune responses than aluminum-adjuvanted vaccines when exposed to dual TLR agonists.
Acute traumatic subdural effusion with hemorrhage in children under 3 years of age： a study of clinical characteristics and treatment strategy
Authors: Yang Tianquan , Han Yong , Wang Hangzhou 
Published: August 2023

Abstract
Purpose Acute traumatic subdural effusion with hemorrhage (ATSEH) is a common type of head trauma in children. However, there is considerable variation in the previous literature regarding the clinical presentation, pathogenesis, and treatment strategies of ATSEH in children. The purpose of this study was to summarize the clinical features of ATSEH in children as well as to explore their treatment strategies.
Methods There were 79 cases of ATSEH studied retrospectively at a pediatric teaching hospital over an 7-year period. The children ranged in age from 1 month to 3 years, with an average age of 8.51(4.33,11.00) months. We analyzed the relationship between the outcome of ATSEH treatment and factors such as age, sex, symptoms, signs, coagulation function, internal environmental homeostasis, and imaging materials. The mean follow-up time was 57.56(34,82) months. The mRS score was used for patient prognosis.
Results 27 out of 79 (34.2%) children showed subtle findings. Impaired consciousness was observed in 26.4% of patients. 52 out of 79 (65.8%) children presented with overt neurological symptoms and signs, with vomiting was t the most common symptom. 51 of 79 children (64.6%) presented with increased fontanelle tone. 32 out of 79 (40.51%) patients required operative management. 73 of the 79 patients (92.4%) had a good prognosis. The patients in the surgical group showed reduced fibrinogen (<1.5g/L) in 53.1%, low hemoglobin (88.56±17.21) and hyponatremia (133.50±3.76).
Conclusions Patients with an age of 9.07(4.31,8.30) presenting with increased impairment of consciousness and increased anterior fontanelle tone are the basis for surgical treatment. Through the treatment of patients with ATSEH, we have found that the essence of ATSEH is an impairment of cerebrospinal fluid circulation triggered by subdural hemorrhage, which leads to acute hydrocephalus. In patients with ATSEH with malignant cranial hypertension, the timely subdural drainage is the key to treating and reducing serious complications. Prevention and correction of hypofibrinogen and hyponatremia are important aspects of the treatment of ATSEH in children that cannot be ignored.
Enhancing Image-Based Rendering through Intelligent Machine Learning: Realism, Immersion, and Future Directions
Authors: Neyigapula Bheema Shanker 
Published: August 2023

Abstract

Image-Based Rendering (IBR) techniques have become essential for generating realistic and immersive visual content, allowing users to explore scenes from different viewpoints. This research paper proposes an innovative framework, named Intelligent Image-Based Rendering (iIBR), that harnesses the power of machine learning to enhance IBR capabilities. The framework integrates deep learning models, reinforcement learning algorithms, and generative networks to address challenges related to view synthesis, scene completion, and virtual scene realism. Through extensive evaluation and comparisons with traditional IBR approaches, the iIBR framework demonstrates superior performance, adapt- ability, and potential applications in virtual reality, gaming, cinematography, architectural visualization, and beyond.
Rab25 suppresses colon cancer cell invasion through upregulating claudin-7 expression
Authors: Cho Su Jin , Jeong Bo Young , Park Chang Gyo , Lee Hoi Young 
Published: August 2023

Abstract
Purpose
Ras-related protein 25 (Rab25) is a member of small GTPase and implicated in various cancer cell progression. Growing evidence suggests the context-dependent roles of Rab25 in cancer invasiveness. Claudin-7 is a tight junction protein and has been known to suppress cancer cell invasion. Although Rab25 was reported to repress cancer aggressiveness through recycling β1 integrin to the plasma membrane, the detailed underlying mechanism remain unanswered. In the present study, we identify the critical role of claudin-7 in Rab25-induced suppression of colon cancer invasion.
Methods
To define the role of Rab25 and claudin-7 in colon cancer cells, we performed plasmid transfection and analyzed cancer cell invasion by utilizing 2D and 3D Matrigel invasion chambers. Immunoblotting, immunofluorescence and ELISA assay were used to identify the level of protein expression and pathways implicated in Rab25-induced colon cancer cell invasion.
Results
Enforced expression of Rab25 attenuates colon cancer cell invasion. In addition, Rab25 inactivated epidermal growth factor receptor (EGFR) and increased E-cadherin expression. Unexpectedly, we observed that Rab25 induces claudin-7 expression through protein stabilization. Moreover, ectopic expression of claudin-7 reduced EGFR activity and Snail expression as well as colon cancer cell invasion. However, silencing of claudin-7 expression reversed the tumor suppressive role of Rab25, thereby increasing colon cancer cell invasiveness.
Conclusion
Collectively, the present data indicate that Rab25 inactivates EGFR and colon cancer cell invasion through upregulating claudin-7 expression.
Caregiver-Child Interaction as an Effective Tool for Identifying Autism Spectrum Disorder: Evidence from EEG Analysis
Authors: Deng Lin , He Wei-zhong , Zhang Qing-li , Wei Ling , Dai Yuan , Liu Yu-qi , Chen Zi-lin , Ren Tai , Zhang Lin-li , Gong Jing-bo , Li Fei 
Published: August 2023

Abstract
Background
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects individuals across their lifespan. Early diagnosis and intervention are crucial for improving outcomes. However, current diagnostic methods are often time-consuming, and costly, making them inaccessible to many families. In the current study, we aim to test caregiver-child interaction as a potential tool for screening children with ASD in clinic.
Methods
We enrolled preschool children, including ASD children with or without developmental delay (DD), and typical development (TD) children, along with their caregivers. Behavioral indicators were derived from video encoding of caregiver-child interaction, including social involvement of children (SIC), interaction time (IT), response of children to social cues (RSC), time for caregiver initiated social interactions (GIS) and time for children initiated social interactions (CIS)). Power spectral density (PSD) values were calculated by EEG signals simultaneously recorded. ASD core symptoms were evaluated by Childhood Autism Rating Scale (CARS) and Autism Diagnostic Observation Schedule-Calibrated Severity Scores (ADOS-CSS). Partial Pearson correlation analysis was used in both ASD groups to investigate the correlation between behavioral indicators scores and ASD symptom severity/PSD values. Receiver operating characteristic (ROC) analysis was used to describe the discrimination accuracy of behavioral indicators.
Results
We enrolled 85 participants (Mean age: 4.90 ± 0.65 years, 70.6% male). SIC scores negatively correlated with CARS (p = 0.006) and ADOS-CSS (p = 0.023) in the ASD with DD group. PSD values elevated in ASD groups compared to TD (all p < 0.05), associated with SIC (theta band: p = 0.005; alpha band: p = 0.003) but not IQ levels. SIC was effective in identifying both ASD groups (sensitivity/specificity: ASD children with DD, 76.5%/66.7%; ASD children without DD, 82.6%/82.2%).
Conclusion
Our results verified the behavioral paradigm of caregiver-child interaction as an efficient tool for early ASD screening, further validated by the PSD of alpha and theta bands.
Quality of antenatal care and its potential impacts on delivery services and postnatal care compliance among reproductive women of Bangladesh
Authors: Nurunnahar Mehejabin , Hossain M. Pear , Haque Tahmidul , Rokonuzaman SM , Pinky Susmita Dey , Kairy Rumpa , Mohona Tahrima Mohsin , Sobhan Abdus , Khatun Most. Hafeza , Abdul Abu Yousuf Md , Siraj Md Shahjahan 
Published: August 2023

Abstract

Background: Ensuring quality antenatal care (ANC) and postnatal care (PNC) is crucial for reducing maternal and neonatal mortality rates. However, there are gaps in assessing the quality of ANC, leading to the proposal of standards by the World Health Organization. The study aims to examine the impact of quality ANC on delivery services and PNC compliance in Bangladesh using data from the Bangladesh Demographic and Health Survey (BDHS), providing insights for policymakers to improve maternal and neonatal health outcomes.
Methods: This study used data from the 2017 Bangladesh Demographic and Health Survey (BDHS) to investigate the impact of quality antenatal care (qANC) on delivery services and PNC in Bangladesh. The study population included ever-married women aged 15-49 years who had experienced a recent pregnancy. The analysis assessed the relationship between qANC and facility delivery, skilled birth attendant (SBA)-assisted delivery, and PNC services within 48 hours of delivery. The study employed a two-stage stratified cluster sampling design, and data analysis was conducted using generalized linear models and considered various demographic and socioeconomic factors.
Results: Key findings include a low rate of qANC services (18%), with pregnancy-related counseling being the lowest component. About 82% received at least one ANC visit, but only 18.3% received a quality visit. Higher compliance with facility delivery, SBA-conducted delivery, and PNC was observed when quality ANC was received. Factors such as completing secondary education, engaging in skilled/unskilled manual labor, higher wealth quintile, and birth parity of 1 were associated with better delivery and post-delivery outcomes.
Conclusion: Ensuring qANC and expanding PNC service use remain challenging in Bangladesh. Increasing the provision of qANC is crucial as it is associated with higher adherence to PNC.
An Explainable Ensemble of Neural Networks Precisely Discovers NSCLC Signature Biomarkers
Authors: Dwivedi Kountay , Kishore Akshat , Rajpal Ankit , Kumar Naveen 
Published: August 2023

Abstract
This work proposes a novel framework of an explainable ensemble of neural networks to classify NSCLC samples into adenocarcinoma and squamous cell carcinoma, using DNA methylation data. The framework utilizes an ensemble of shallow neural networks and soft-voting decision fusion for classification. Subsequently, these neural networks are interpreted via SHapley Additive exPlanations (SHAP) to highlight the most relevant DNA methylation CpG probes. The proposed framework-based model achieves a classification accuracy of 0.989, outperforming other ensemble models such as XGboost, Random Forest, AdaBoost, CatBoost, and GradientBoosting. SHAP analysis reveals 702 relevant CpG probes, that are mapped to a set of 499 signature biomarkers. While 104 of these signature biomarkers are potentially druggable (using DGIdb database), 40 of them overlap with the OncoKB cancer genes list. In the future, the framework could be made robust enough to classify other carcinomas. Moreover, multiomics data-based classification could provide better accuracy and more stable biomarkers.
Lie reductions and exact solutions of dispersionless Nizhnik equation
Authors: Vinnichenko Oleksandra O. , Boyko Vyacheslav M. , Popovych Roman O. 
Published: August 2023

Abstract
We exhaustively classify the Lie reductions of the real dispersionless Nizhnik equationto partial differential equations in two independent variablesand to ordinary differential equations. Lie and point symmetries of reduced equations are comprehensively studied,including the analysis of which of them correspond to hidden symmetries of the original equation. If necessary, associated Lie reductions of a nonlinear Lax representationof the dispersionless Nizhnik equation are carried out as well. As a result, we construct wide families of new invariant solutions of this equationin explicit form in terms of elementary, Lambert and hypergeometric functionsas well as in parametric or implicit form. We show that Lie reductions to algebraic equations lead tono new solutions of this equation in addition to the constructed ones. Multiplicative separation of variables is used for illustrative constructionof non-invariant solutions.
Graph Neural Network for Human Body Orientation Estimation by 2D Skeleton
Authors: Siow ChyanZheng , Dou WenBang , Chin WeiHong , Kubota Naoyuki 
Published: August 2023

Abstract
Service Robot has been increasingly gaining attention from hospitality to tourism businesses especially in the Human Robot Interaction section. Human pose estimation has added to increase the understanding from human to robot. The famous estimation tools are MediaPipe Pose, MMPose, and Detectron2. However, these tools did not come with orientation prediction. Orientation is important in predicting the intention of humans, especially in “Pedestrian Research” and “Handover Task Research”. Therefore, in this paper, we present a simple method add-on to the existing human pose estimation tools to predict the human body facing direction. First, we extract the key points from the existing tools and then use them to compute a set of nodes and edges features to form a graph. Afterwards, we use Edge-Conditioned Convolution (ECC) for graph level prediction to predict the orientation of the human pose. Experiments conducted on the TUD dataset and show that the proposed GNN outperforms previous works on 8 discrete orientation classification.
Evaluation of the additional prophylactic effect of topical steroid ointment to systemic minocycline against anti-epidermal growth factor antibody-induced skin toxicities in metastatic colorectal cancer treatment
Authors: Saito Yoshitaka , Uchiyama Kazuki , Takekuma Yoh , Komatsu Yoshito , Sugawara Mitsuru 
Published: August 2023

Abstract
Background
Anti-epidermal growth factor receptor (EGFR) antibodies often cause skin toxicities. Preemptive skin treatments using systemic antibiotics with or without topical steroid are reportedly effective although the most suitable method remains unclear. This study aimed to determine whether combination prophylaxis using systemic minocycline and topical steroid is superior to minocycline alone in a real-world metastatic colorectal cancer (mCRC) treatment.
Methods
Patients with mCRC (n = 87) who received anti-EGFR monoclonal antibodies were retrospectively assessed. The primary objective was to compare the incidence of grade ≥ 2 overall skin toxicities during all treatment periods between the two groups: the control group receiving prophylactic minocycline 100 mg/day, and the combination prophylaxis group receiving minocycline 100 mg/day + topical steroid. The incidence of each skin symptom was also evaluated.
Results
The incidence of grade ≥ 2 overall skin toxicities was 65.2% in the control and 56.9% in the combination groups, with no significant difference (P = 0.62). Similarly, the incidence of grade ≥ 2 dry skin, fissures, paronychia, and pruritus did not significantly differ. In addition, incidence of all-grade skin toxicities was not different. However, the incidence of grade ≥ 2 rashes was significantly lower in the combination group (23.1% vs. 47.8%, P = 0.03). Propensity score-matched analysis supported these results. Multivariate logistic regression analysis showed no significant association between combination prophylaxis and grade ≥ 2 overall skin toxicities, but it did show a reduction in grade ≥ 2 rashes.
Conclusion
Adding topical steroids to systemic minocycline did not mitigate grade ≥ 2 overall skin toxicities induced by anti-EGFR antibodies; however, it significantly improved rashes.
Estimating Levels of Echogenicity in Non-Alcoholic Fatty Liver Disease - a Mathematical Model
Authors: Andrade Luís Jesuino de Oliveira , de Oliveira Gabriela Correia Matos , de Oliveira Luísa Correia Matos , de Oliveira Luís Matos 
Published: August 2023

Abstract
Introduction
Echogenicity is a measure used in ultrasound imaging to assess the ability of tissue to reflect sound waves. In the case of hepatic tissue, it is important to identify and classify different levels of echogenicity to assist in diagnosing possible alterations. As ultrasound imaging is operator-dependent, there is a gap in accurately defining the levels of non-alcoholic fatty liver disease (NAFLD).
Objective
To develop a mathematical model for estimating levels of echogenicity in hepatic tissue in NAFLD based on grayscale values.
Method
The common number of grayscale levels in an ultrasound is 256. We utilized a dataset containing experimental grayscale values (Ci) and corresponding echogenicity values (Ei). The method of least squares was applied to determine the equations describing the relationship between Ci and Ei.
Results
We assume that E is a linear function of the grayscale, given by: E = m * C + b. Where: E = is the unit of measurement of echogenicity, C = is the value of the grayscale (0 to 256), m = is the slope coefficient of the line relating E to C - b is the intercept coefficient of the line. The results derived from the least squares method provided the following regression equations: m = (Σ(Ci - Cm) * (Ei - Em)) / (Σ(Ci - Cm)^2) and b = Em - m * Cm. These equations allowed us to estimate the levels of echogenicity in hepatic tissue based on grayscale values. Thus, on a grayscale ranging from 0 to 256, hepatic tissue with normal echogenicity presented a value within the range of 120 to 150; mild NAFLD had a value between 150 and 180; moderate NAFLD had a value between 180 and 210; severe NAFLD had a value above 210.
Conclusion
This study developed a mathematical model for estimating levels of echogenicity in hepatic tissue using a grayscale ranging from 0 to 256. The regression equations obtained through the method of least squares can be used to calculate the degrees of NAFLD. This estimation can assist in the diagnosis and monitoring of hepatic tissue alterations during ultrasound examinations.
Redefining Teleconnection Patterns using Autoencoder Neural Networks: an example with the North Atlantic Oscillation
Authors: Ibebuchi Chibuike 
Published: August 2023

Abstract
Understanding the spatial patterns of the North Atlantic Oscillation (NAO) is vital for climate science. For this reason, empirical orthogonal function (EOF) analysis is commonly applied to sea-level pressure (SLP) anomaly data in the North Atlantic region. This study evaluated the traditional EOF-based definition of the NAO index against the Autoencoder (AE) neural network-based definition, using the Hurrell NAO Index (Station-Based) as a reference. Specifically, EOF and AE were applied to monthly SLP anomaly data from ERA5 (1950-2022) to derive spatial modes of variability in the North Atlantic region. Both methods produced spatial patterns consistent with the traditional NAO definition, with dipole centers of action between the Icelandic Low and the Azores High. During boreal winter (December to March), when the NAO is most active, the AE-based method achieved a correlation of 0.96 with the reference NAO index, outperforming the EOF-based method's correlation of 0.90. The all-season Adjusted R-squared values were 50% for the AE-based index and 34% for the EOF-based index. Notably, the AE-based index revealed several other non-linear patterns of the NAO, with more than one encoded pattern correlating at least 0.90 with the reference NAO index during boreal winter. These results not only demonstrate the AE's superiority over traditional EOF in representing the station-based index but also uncover previously unexplored complexities in the NAO that are close to the reference temporal pattern. This suggests that AE offers a promising approach for defining teleconnection patterns in climate science, potentially capturing intricacies that traditional linear methods like EOF might miss.
O comportamento informacional no desenvolvimento das competências profissionais no âmbito da biblioteconomia
Authors: Sunaria Sara , Moreira Luciana 
Published: August 2023

O artigo trata do comportamento informacional no desenvolvimento das competências profissionais no âmbito da Biblioteconomia, utilizando-se do estudo de caso no estágio supervisionado obrigatório da Biblioteca Central Zila Mamede na Universidade Federal do Rio Grande do Norte. O objetivo geral deste artigo é analisar a influência do Comportamento Informacional para o desenvolvimento das competências profissionais dos alunos que fazem parte do estágio supervisionado obrigatório. A metodologia utilizada foi uma pesquisa bibliográfica acerca das competências profissionais, comportamento informacional e do estágio supervisionado obrigatório na área de Biblioteconomia; a análise das documentações relativas aos alunos que fazem parte do estágio supervisionado no período 2019.2 e aplicação do modelo de Carol Kuhlthau (1991) para discorrer sobre o comportamento informacional dos alunos do estágio supervisionado obrigatório. Percebe-se através das análises das documentações que houve desenvolvimento não só tecnicista como também da competência profissional dos alunos que, além do desenvolvimento das técnicas inerentes à profissão, foi percebida mudanças na forma de visualizar a biblioteca, dos seus processos, de seus comportamentos diante de situações inesperadas e na articulação das atividades dentro dos mais variados contextos em que o mesmo venha a estar inserido. Conclui-se que um fator que contribuiu para os resultados alcançados foi o papel preponderante que a Biblioteca Central Zila Mamede proporcionou para ampliar o campo relativo ao suprimento do preenchimento de lacunas informacionais tão imprescindíveis nessa etapa vivenciada pelos alunos, tornando-se assim, uma ponte entre a teoria e prática profissional dos estagiários.