bluuebunny/crossref_metadata_2025_split huggingface dataset:
Endothelial cell-secreted bone targeting exosomes promoteangiogenesis coupling with osteogenesis via the PERK-ATF4-CRELD2 pathway
Authors: Pi Zhilong , Wu You , Wu Jingyi , Zhang Tao , Li Pingyue , Wang Renkai 
Published: November 2024

Abstract

Objects: The role of endoplasmic reticulum (ER) stress in bone metabolism and the management of associated diseases has garnered significant interest. However, its role in regulating bone homeostasis and skeletal development remains largely unclear.
Results: This research revealed that human umbilical vein endothelial cells (HUVECs)-exosomes (Exos) enhanced the formation of osteoblast and angiogenic effects in vitro. Furthermore, in mice treated with HUVECs-Exos, osteoblast production, and CD31hiEmcnhi vessels were significantly increased. The mechanism by which HUVECs-Exos CRELD2 improved angiogenesis coupling with osteogenesis involved triggering the PERK-ATF4-CRELD2 pathway's ER stress.
Conclusion: HUVECs-Exos CRELD2 may be used as a potential bone metabolic disease nanodrug.
Clinical outcomes and hemorrhagic or thromboembolic risks in decompressive craniectomy for patients taking antiplatelet or anticoagulant therapy.
Authors: Scerrati Alba , Scanferla Giovanni , Sgarbanti Lorenzo , Mantovani Giorgio , Angelini Chiara , Flacco Maria Elena , Maugeri Rosario , Bonosi Lapo , Iacopino Domenico Gerardo , Tumbiolo Silvana , Adorno Alessandro , Brunasso Lara , Lofrese Giorgio , Rosetti Vittoria , Tosatto Luigino , Somma Teresa , Cavallo Luigi Maria , Lombardi Sara , Sturiale Carmelo Lucio , Signorelli Francesco , Auricchio Anna Maria , Menna Grazia , Ricciardi Luca , Montemurro Nicola , Raneri Fabio , Rustemi Oriela , Zambon Giampaolo , Cavallo Michele Alessandro , Bonis Pasquale 
Published: November 2024

Abstract

Background
Decompressive craniectomy (DC) is a critical surgical intervention for elevated intracranial pressure. However, the impact of preoperative antiplatelet or anticoagulant therapy on outcomes and complications remains unclear.
Methods
A retrospective-prospective study was conducted on 145 patients undergoing DC between November 2021 and May 2023. Patients were categorized into two groups: those with (n = 48) and without (n = 97) preoperative antithrombotic therapy. Demographic data, comorbidities, antithrombotic therapy type and duration, clinical outcomes, and pre-operative risk factors (CHA2DS2-VASc and HAS-BLED scores) were analyzed.
Results
While there was a trend towards higher hemorrhagic complications in the antithrombotic therapy group (20.0% vs. 11.3%), this difference was not statistically significant. However, thromboembolic events, primarily stroke (27.7% vs. 9.3%) and acute myocardial infarction (10.6% vs. 0.0%), were significantly more frequent in the antithrombotic therapy group. Multivariate analysis revealed that ischemic stroke as a primary diagnosis, rather than antithrombotic therapy itself, was a significant predictor of thromboembolic complications (adjusted OR 3.49, 95%CI 1.47–8.28, p = 0.005). Pre-operative GCS was associated with improved outcomes (adjusted OR 0.81, 95%CI 0.67–0.97, p = 0.025).
Conclusion
While antithrombotic therapy does not appear to increase the risk of hemorrhagic complications after DC, it is associated with a higher risk of thromboembolic events, especially in patients with ischemic stroke. Individualized assessment and tailored management of antithrombotic therapy are crucial to optimize outcomes in DC patients. Further studies are needed to refine strategies for bridging anticoagulation and managing antithrombotic therapy in this population, considering factors such as CHA2DS2-VASc and HAS-BLED scores, as well as patient-specific risk profiles.
“It looks OK... but I can’t wear it” – Application of the Expanded Parallel Process Model to Nigerian self-protection attitudes during the Covid19 pandemic
Authors: Sekoni Adekemi , Yesufu Victoria , Odufuwa Kayode , Brainard Julii , Taiwo Olufunmilayo , Molobe Ikenna , Hornsey Emilio , Hunter Paul , Ogunsola Folasade 
Published: November 2024

Abstract

Background
From 2020 onwards, the Covid19 pandemic posed a severe global health threat and caused widespread social disruption. Behavioral restrictions were imposed and expected for entire populations in many countries. The Extended Parallel Process Model (EPPM) can describe the interactions of rational cognitive considerations and emotional reactions that influence behavioral decisions.
Methods
Here we apply the EPPM to the context of facial protection choices in a middle-income country setting. Global shortages of personal protection equipment during the pandemic encouraged use of locally-made facial protection in resource-scarce settings, including clear, 3D-printed, face visors or shields to prevent respiratory droplet exposure. We draw on open-text responses collected in a survey of prospective face shield users in Lagos, Nigeria, in March 2021. An intersectional approach was deployed to explore and evaluate these comments in the local context, perspectives and priorities of potential face shield users.
Results
Within the context of the Covid19 pandemic, we have been able to adapt and expand the EEPM with various conceptual elements which will be useful in preparedness efforts towards future emerging airborne infections capable of causing pandemics. We describe how individuals traded off expected costs (monetary, diminished appearance, lack of practicality, discomfort, inconvenience) with perceived protection. Some of these trade-offs were grounded in local circumstances (such as high ambient temperature, cultural expectations and dust levels).
Conclusion
The compromises that were made in facial protection choices in our Nigeria sample are likely to be generalisable to many settings in sub-Saharan Africa and other tropical countries home to about a third of the global population. Product manufacturers should consider factors that will enhance user satisfaction, compliance, wellbeing and health.
Visual Localization in 3D Maps: Comparing Point Cloud, Mesh, and NeRF Representations
Authors: Zhang Lintong , Tao Yifu , Lin Jiarong , Zhang Fu , Fallon Maurice 
Published: November 2024

Abstract

Recent advances in mapping techniques have enabled the creation of highly accurate dense 3D maps during robotic missions, such as point clouds, meshes, or NeRF-based representations. These developments present new opportunities for reusing these maps for localization. However, there remains a lack of a unified approach that can operate seamlessly across different map representations. This paper presents and evaluates a global visual localization system capable of localizing a single camera image across various 3D map representations built using both visual and lidar sensing. Our system generates a database by synthesizing novel views of the scene, creating RGB and depth image pairs. Leveraging the precise 3D geometric map, our method automatically defines rendering poses, reducing the number of database images while preserving retrieval performance. To bridge the domain gap between real query camera images and synthetic database images, our approach utilizes learning-based descriptors and feature detectors. We evaluate the system's performance through extensive real-world experiments conducted in both indoor and outdoor settings, assessing the effectiveness of each map representation and demonstrating its advantages over traditional structure-from-motion (SfM) localization approaches. The results show that all three map representations can achieve consistent localization success rates of 55% and higher across various environments. NeRF synthesized images show superior performance, localizing query images at an average success rate of 72%. Furthermore, we demonstrate an advantage over SfM-based approaches that our synthesized database enables localization in the reverse travel direction which is unseen during the mapping process. Our system, operating in real-time on a mobile laptop equipped with a GPU, achieves a processing rate of 1Hz.
Cortactin and SIRT1 increased expression levels are associated with meningioma patients
Authors: Bhawangirkar Shubhangi , Panigrahi Manas , Immaneni Satish , Phanithi Prakash 
Published: November 2024

Abstract

Meningiomas are the most prevalent CNS neoplasms in adults and display various cytological and histological features associated with higher morbidity and mortality rates and diagnostic complexity. SIRT1 is the class III histone deacetylase (HDAC) that plays a role in the metabolism, aging, and carcinogenesis of organisms and regulates senescence and apoptosis in cells but its role in meningioma is unclear. This study aims to check the expression patterns and interactions of cortactin and SIRT1 proteins in different grades of meningiomas and control arachnoid tissue. In the experimental groups of meningioma, human tissue samples from the different grades of meningioma (n = 28) and control arachnoid tissues (n = 8) were employed for assessing the expression of cortactin and SIRT1 proteins via immunoblotting, immunohistochemical staining, and immunofluorescence staining. Results revealed a significant increase in cortactin and SIRT1 expression in high-grade meningiomas compared to arachnoid tissue. Co-expression analysis with ki67 revealed correlations between cortactin/SIRT1 and proliferative activity, particularly in grade II and grade III meningiomas. Co-immunoprecipitation assays confirmed a direct interaction between cortactin and SIRT1, which intensified with tumor severity. Here, we report the in vivo interaction between cortactin and SIRT1, revealed by fluorescence resonance energy transfer (FRET) microscopy. Increased SIRT1 expression correlated with poorer patient survival, emphasizing its prognostic relevance. In conclusion, this study emphasizes the significance of cortactin and SIRT1 as biomarkers for diagnosis and prognosis in meningiomas, suggesting their potential as targets for therapy.
Development of an Integrated Model for Providing Public Health Services to Refugees in Iran: Study Protocol
Authors: Ezatifard Akram , Rezaei Fatemeh , Dargahi Hossein , Yarmohammadian Mohammad Hossein , Atighechian Golrokh 
Published: November 2024

Abstract

Introduction
: The Islamic Republic of Iran hosts one of the largest and longest-standing refugee populations globally, with most refugees fleeing war, conflict, natural disasters, environmental degradation, or economic crises. However, refugees in Iran face significant challenges in accessing healthcare services due to illegal entry, fear of identification, and limited access to integrated health centers. This study aims to develop a comprehensive model for providing health services to refugees, addressing the need for a structured care system to ensure their health and well-being.
Methods
This research employs a mixed-methods approach to explore the development of a healthcare service delivery model for refugees within the existing health system. The study will be conducted in four stages: (a) a scoping review will be undertaken to identify the key dimensions and global components that comprise the aspects and elements of healthcare service provision for refugees; (b) a qualitative study, featuring semi-structured interviews, will be conducted to delve into specific dimensions and components of healthcare service provision for refugees within the Iranian healthcare system; (c) based on the findings from the scoping review and qualitative inquiry, relevant assessment items related to healthcare service provision for refugees will be extracted and synthesized to inform the development of a prototype service provision model; and (d) the developed model will undergo a rigorous validation process, incorporating both quantitative and qualitative methods, including an evaluation of its psychometric properties, in relation to healthcare service provision.
Ethics and Dissemination:
The study has obtained ethical approval from the research ethics committee of Isfahan University of Medical Sciences (IR.MUI.NUREMA.REC.1403.096).
Conclusion
The development of a model for providing health services to refugees creates and enhances health services within the healthcare system.
Lithostratigraphy and Microfacies Analysis of Upper Triassic Deposits in the Southern parts of Lut Block, Central Iran Microcontinent
Authors: hadadi nooshin , Afghah massih 
Published: November 2024

Abstract

In order to conformity of the sedimentary environment and biological faunal assemblage of Late Triassic deposits in the Central Iran subcontinent, stratigraphical section in the Lut block was selected. Shahdad section in the mentioned block with a thickness of 340 meters is mostly composed of shale, sandstone and limestone. According to the identified index microfossils, 10 interval biozones (Triasina hantkeni, Trochammina almtalensis, Ophtalmidium exiguum, Agathammina oustroalpina, Duostomina alta, Planiinvoluta regularis, Ammodiscus parapriscus, Pilamminella falsofriedli, Glomospirella minima, Tetrataxis inflata, Interval Zone) were recognized in the Upper Triassic deposits. Based on the identified biozones, the geological age of the studied sequences, considered as Late Norian- Earlist Lias which is equivalent to the Howz-e- Khan and Qhadir members of the Nayband Formation in central Iran. Distribution of scattered coral reefs and absence of turbidite sediments indicate a relatively gentle and uniform homoclinal shallow carbonate platform. Also diversity of foraminifera in this basin show the normal conditions of the initial environment in terms of water circulation, salinity and oxygen levels. In general, the facies of the sedimentary basin of the Upper Triassic deposits in the region are formed from the lagoon or near the coast to the shallow area of the coastline with high to medium energy and to the open sea area in the range of marginal reefs.
Analysis of the clinical characteristics of patients who developed tuberculosis after renal transplantation
Authors: Su Qian , Xiao Jie , Peng Zhou , Zhou Liang , Wang Juan , Qiu Yingfeng 
Published: November 2024

Abstract

Background
The early clinical diagnosis of tuberculosis (TB) in kidney transplant recipients is difficult, and TB is a major factor contributing to transplant failure and mortality in these patients. This study is to analyze the characteristics of patients who developed TB after renal transplantation in an effort to improve the diagnosis and treatment of such patients.
Methods
This retrospective study examined 100 patients who received kidney transplants and subsequently developed TB, and were then treated at the Hunan Chest Hospital from January 2014 to January 2024. The clinical characteristics of patients were examined, including general condition, time of TB onset, clinical manifestations, site of TB, immunological indicators, method of etiological detection, imaging findings, treatment, and outcome.
Results
Secondary pulmonary TB was the most common diagnosis overall (n = 76), and abdominal TB was the most common type of extrapulmonary TB (n = 8). Eighty-eight patients were tested by the interferon-gamma release assay (IGRA); 72 (81.8%) had positive results, 13 (14.8%) had negative results, and 3 (3.4%) had uncertain results. Twenty-six patients received the tuberculin skin test (TST); 7 (26.9%) had positive results and 19 (73.1%) had negative results. The overall etiological detection rate was 58.0%. Analysis of factors affecting outcome showed that patients who received an isoniazid + rifamycin + ethambutol + moxifloxacin regimen were more likely to achieve cure than those treated with an isoniazid + rifamycin + ethambutol + pyrazinamide regimen (P < 0.05).
Conclusions
Patients who develop TB after renal transplantation have atypical symptoms and imaging findings. In addition to conventional detection methods, the IGRA, TST, and biopsy may aid in diagnosis. The anti-TB regimen of isoniazid + rifamycin + ethambutol + moxifloxacin appeared to provide a better outcome in this group of patients.
Antiretroviral Therapy Adherence and Associated Factors Among Hiv Patients Aged 10--15: A Cross-Sectional Study at Five Hospitals in Vietnam
Authors: Pham An Van , Tran Toan Khanh , Pham Trang Quynh , Nguyen Chuc Thi Kim , Dinh Linh Huynh , Tran Huong Thu , Tieu Thy Chau , Vu An Thien , Pho Tan Nhat , Le Dinh Thi , Larsson Mattias , Olson Linus 
Published: November 2024

Abstract

Introduction: Adherence to antiretroviral therapy (ART) plays an important role in treatment efficiency. Human immunodeficiency virus (HIV)-infected adolescents face
many challenges in terms of their adherence to HIV treatment.
Objectives: (1) To evaluate the ART adherence rate among HIV-infected adolescents aged 10--15 years at five hospitals in Vietnam and (2) to investigate the factors associated with ART adherence.
Methods: This was a cross-sectional study involving 618 HIV patients aged 10--15 years receiving ARV treatment at five hospitals from May 2020 to October 2021. Data were collected through quarterly structured interviews and periodic medical record reviews. Adherence to the ART was assessed following the WHO classification. Adherence is defined as good if it is ≥95%, as documented by the ART healthcare provider.
Results: The overall adherence rate was low (62.4%), and the most common reason for nonadherence was a lack of drugs at the check-up. A waiting time for ARV treatment of less than 1 month after diagnosis [OR=1.85; 95% CI (1.15–2.94)]; [OR=2.38; 95% CI (1.31–4.35)], and patients whose caregiver demonstrated occasional fatigue [OR=1.59 (1.04–2.44)] were significantly associated with ART nonadherence.
Conclusion: Increased efforts should be dedicated to psychological preparation, pre-ARV counseling for patients, and support their families and caregivers to improve adherence to treatment.
Polyimide nanofiber aerogel with hierarchical porosity: a novel platform in high-temperature oil absorption
Authors: Tian Lidong , Zhang Yi , Liu Yibin , Zhang Shan 
Published: November 2024

Abstract

The development of advanced oil sorbents with superior thermal stability, high adsorption capacity, and excellent reusability is crucial for addressing hot oil leakage challenges, particularly in the petrochemical and machinery industries. This study presents a novel polyimide (PI) nanofiber aerogel (PIF-a) designed for high-temperature oil absorption. Utilizing electrospinning and post-treatment, PIF-a exhibits a hierarchical pore structure, ultralow density, and remarkable flexibility. At room temperature, PIF-a demonstrates an oil adsorption capacity of 83.1 g/g, surpassing conventional materials. Notably, PIF-a retains structural integrity up to 250°C, with a hot oil adsorption capacity of 78.6 g/g at 200°C. Despite repeated adsorption-desorption cycles, PIF-a's capacity remains stable, retaining over 90% of its initial performance. This breakthrough material, with its exceptional thermal stability, rapid adsorption kinetics, and durable reusability, represents a significant advancement in high-temperature oil absorption technology, broadening the application potential of nanofiber-based materials in addressing environmental oil spill emergencies.
A novel integrated method of detection-grasping for specific object based on the box coordinate matching
Authors: Liu Zongmin , Qin Lei , Wang Jirui , Ao Wengang , Ren Kai 
Published: November 2024

Abstract

To better care for the elderly and disabled, it is essential for service robots to have an effective fusion method of object detection and grasp estimation. However, limited research has been observed on the combination of object detection and grasp estimation. To overcome this technical difficulty, a novel integrated method of detection-grasping for specific object based on the box coordinate matching is proposed in this paper. Firstly, the SOLOv2 instance segmentation model is improved by adding channel attention module (CAM) and spatial attention module (SAM). Then, the atrous spatial pyramid pooling (ASPP) and CAM are added to the generative residual convolutional neural network (GR-CNN) model to optimize grasp estimation. Furthermore, a detection-grasping integrated algorithm based on box coordinate matching (DG-BCM) is proposed to obtain the fusion model of object detection and grasp estimation. For verification, experiments on object detection and grasp estimation are conducted separately to verify the superiority of improved models. Additionally, grasping tasks for several specific objects are implemented on a simulation platform, demonstrating the feasibility and effectiveness of DG-BCM algorithm proposed in this paper.
Estimation of Daylily Leaf Area Index by Synergy Multispectral and Radar Remote-Sensing Data based on Machine-Learning Algorithm
Authors: Hu Minhuan , Wang Jingshu , Yang Peng , Li Ping , He Peng , Bi Rutian 
Published: November 2024

Abstract

Rapid and accurate leaf area index (LAI) determination is important to monitoring daylily growth, yield estimation, and field management. Because of low estimation accuracy of empirical models based on single-source data, we proposed a machine-learning algorithm combining optical and microwave remote-sensing data, and the random forest regression (RFR) importance score to select features. A high-precision LAI estimation model for daylilies was constructed by optimizing feature combinations. The RFR importance score screened the top five important features, including vegetation indices land surface water index (LSWI), generalized difference vegetation index (GDVI), normalized difference yellowness index (NDYI) and backscatter coefficients VV and VH. Vegetation index features characterized canopy moisture and color of daylilies, and the backscatter coefficient reflected dielectric properties and geometric structure. Selected features were sensitive to daylily LAI. The RFR algorithm had good anti-noise performance and strong fitting ability; thus, its accuracy was better than the partial least squares regression and artificial neural network models. Synergistic optical and microwave data more comprehensively reflected the physical and chemical properties of daylilies, making the RFR-VI-BC05 model after feature selection better than the others. This study expanded methods for estimating daylily LAI by combining optical and radar data, providing technical support for daylily management.
Early-life Environment Protection Experience of Political Leaders and Carbon Governance: Evidence from China
Authors: Yang Zhenbing , Jia Kehong , Shao Shuai , Wang Sijie , Hao Chunyan 
Published: November 2024

Abstract

In this study, the impact of the Communist Party secretary’s early-life experience on carbon governance is explored. The findings demonstrate that a secretary’s early-life environment protection experience can dramatically lower a city’s carbon intensity. This conclusion remains unchanged after considering the role of the mayor, reducing central government’s selection bias, and using the duration of early-life environment protection experience for instrumental variable estimation. This negative impact is more apparent after the central government introduced mandatory low-carbon targets for all provinces. For secretaries with early-life environmental protection experience, a background of local promotion and a background in liberal arts result in a more drastic drop in carbon intensity. Due to the improved technical efficiency and low-carbon total factor productivity, secretaries with early-life environmental protection experience can lower carbon intensity from the perspective of intensive production.