bluuebunny/crossref_metadata_2025_split huggingface dataset:
“The Great Escape”: How an incident of elopement gave rise to trauma informed palliative care for a patient experiencing multiple disadvantage.
Authors: Quinn Sam , Ferguson Libby , Read Derek , Richards Naomi 
Published: July 2023

Abstract
Background:
This case report from [LOCATION] illustrates how unresolved traumatic experiences across the life course can affect a patient's engagement with palliative care and offers insights into the flexibility and adaptations necessary for taking a trauma informed approach to care for an individual experiencing multiple disadvantage. Trauma informed care is a cornerstone in the pursuit of equitable palliative care, particularly for those facing multiple disadvantage, as it acknowledges the impact of past traumas on current healthcare experiences, and fosters an environment of understanding, acceptance, and tailored support to alleviate suffering in the final stages of life.
Case Presentation:
"M" was a veteran with a history of homelessness, living with end stage anal cancer and symptoms consistent with post-traumatic stress disorder (PTSD), although he never received a formal diagnosis. M exhibited complex behaviours perceived to be related to his history of trauma, including his decision to elope from the hospice, reluctance to accept personal care from nurses, and unpredictability. These behaviours posed a significant challenge to his palliative care team, both in the hospice and at home. An individualised and flexible approach to care delivery was eventually adopted, which included a 'safety-netting' approach and care delivery outside of the hospice. M was ultimately supported to remain at home until a week before he died.
Conclusion:
M's case underscores the necessity of adopting a trauma informed approach to palliative care, particularly for patients with a history of trauma and multiple disadvantage. The case highlights the importance of understanding and respecting a patient's past traumas, promoting safety and autonomy, and ensuring flexibility in care delivery.
Dialister pneumosintes and aortic graft infection – a case report
Authors: Patel Rachel , Chong Debra S T , Guy Alison J , Kennedy Matthew 
Published: July 2023

Abstract
Background:
Dialister pneumosintes is an anaerobic, gram negative bacillus, found in the human oral cavity and associated with periodontitis. Recent case reports implicate D. pneumosintes in local infection such as dental root canals, sinusitis, Lemierres syndrome and brain abscesses, as well as distal infections of the liver and lung through haematogenous spread.
Case presentation:
We present a novel case of an aortic graft infection in a 75 year old Caucasian male, associated with D. pneumonintes bacteraemia. Microbiological evaluation of septic emboli in the lower limbs revealed other oral flora, supporting a dental origin of graft infection. To our knowledge this is the first report of D. pneumonintes associated aortic graft infection. The patient underwent surgical explantation, oversew of the aorta and placement of extra-anatomical bypass graft in conjunction with antimicrobial therapy, making a good recovery with discharge home after 35 day hospital admission.
Conclusion:
We report a case of Dialister pneumosintes bacteraemia secondary to aortic graft infection. To our knowledge, vascular graft-associated infection with D. pneumosintes has not been reported before.
Qualitative study: Perceptions of surgical competence among Chinese professional surgical postgraduate students in clinical medicine
Authors: Zhao Feiyu , Yan Yuanyuan , Li Zhihui , Tan Shuo , Ou Jingxin , Zhao Lei 
Published: July 2023

Abstract
Purpose
The purpose of this study is to explore the perceptions of surgical competence among Chinese professional surgical postgraduate students in clinical medicine with the aim of improving the surgical competence of postgraduate students and exploring the recommendations of postgraduate students regarding the current program for the development of surgical competence.
Background
China has officially mandated the integration of master's degree education into clinical medicine and standardized residency training since 2015. Since that time, the training of Chinese postgraduate students in clinical medicine has improved significantly, and the number of postgraduate students in clinical medicine in China has been increasing in recent years. Due to the use of various new technologies in the field of surgery, the perceptions of some surgeons regarding surgical competence have changed.
Methodology:
This study was conducted using qualitative methods. Data were collected from voice recordings of one-on-one, in-depth interviews, which were conducted using semistructured questions. Qualitative content analysis was used to evaluate the audio recordings.
Results
The major themes and subthemes of the study were as follows: (1)surgical competence is considered to be very important by clinical medicine professional surgical postgraduate students (surgical ability is considered to be useful for improving clinical operation by clinical medicine professional surgical postgraduate students and that surgical ability is considered to be useful for developing the clinical thinking of clinical medicine professional surgical postgraduate students) and (2) the ways in which surgical ability can be improved according to clinical medicine professional surgical postgraduate students (clinical medicine professional surgical postgraduate students believe that more effort is needed to develop surgical skills and that clinical medicine professional surgical postgraduate students believe that they need more help from the hospital/department in terms of improving their surgical skills).
Conclusions
Chinese professional surgical postgraduate students in clinical medicine consider surgical competence to be very important because they believe that it enhances clinical operations and clinical thinking, which are necessary for them to become great surgeons. They are interested in ways of improving their surgical competence, and this study found that they believe that investing more time and effort in the development of their surgical competence is likely to lead to improved surgical competence and that the help provided by the department/hospital could also lead to improvements in their surgical competence.
Impact of Charge Extraction on Current-Voltage Characteristics of Perovskite Solar Cells
Authors: Li Deli , Zhang Xiao , Liang Qianqian , Sun Jian , Chen Ximan , Liu Yang , Song Qing , Wang Yue , Chen Yonghua , Huang Wei 
Published: July 2023

Abstract

This work presents an extended Shockley equation (ESE) to elucidate the impact of charge extraction on the current density voltage (J–V) characteristics of perovskite solar cells (PSCs). In the ESE, the driving forces of charge extraction are described by explicit voltage drops across the transport layer and at the contacts, which consume the electromotive force established by the maximum quasi-Fermi level splitting. As a result, the ESE can efficiently produce the J–V curves showing excellent agreement with the exact results by the drift-diffusion simulations. Based on the ESE, we studied the impact of charge extraction on the shape of the J–V curves and identified three types of J–V curves. We also revealed the complicated relationship between the realistic material parameters and the performance of the PSCs. The results show that the ESE accurately relates the material and contact properties to the power conversion efficiency of the PSCs. Then, we used the ESE inversely to quantitatively determine the efficiency losses due to the impact of charge extraction from the measured J–V curves of the PSCs with spiro-OMeTAD or NiOx as the hole transport layers. Our results suggest that the ESE provides a simple alternative way to model the PSCs precisely. This work could contribute to the understanding of the PSCs and the processing of new efficient transport layers.
Digital Transformation in Higher Education Institutions: Bibliometric Analysis
Authors: Acuña Javier Muñoz , Hernández-Perlines Felipe , Vega-Muñoz Alejandro , Salazar-Sepulveda Guido , Contreras-Barraza Nicolas , Vinueza-Martinez Jorge , Torres-Alcayaga Mario 
Published: July 2023

Abstract

The purpose of this article is to carry out a bibliometric analysis of the advances in digital transformation in higher education institutions worldwide. This was done using a search vector on Digital Transformation in Higher Education TS= ((Digital NEAR/0 transform) AND (Higher NEAR/0 education)), without restricted time parameters, performing the extraction on October 15, 2022, of the Web of Science (WoS) database, obtaining a total of 384 records, between the years 2014 and October 2022. Within this universe, most of the documents extracted were articles (206, 59.2%), followed by records (132, 37, 9%) and reviews (10, 2.9%). These publications were analyzed per year (Price's Law); concentration by journals (Bradford Law); concentration by authors (Lotka's Law); concentration of citations per article (Hirsch Index); and concentration of keywords (Zipf's Law). Regarding the results, we observed an exponential increase in the scientific production on DT2HE in the last 9 years, with a concentration of the scientific discussion on DT2HE, in 14 journals that published more than 2 articles each, on DT2HE in the period studied; a production distributed in 50 closely related countries, forming a global community of knowledge about DT2HE, concentrated in Russia, Spain, Germany and Portugal. Regarding citations, there are two prolific authors: both with 115 citations each. Finally, three groups of keywords were identified: the first group is related to the goals of modernization in higher education, the second, with the effects on students produced by DT2HE, and a third group, which emphasizes the DT2HE process itself.
Hypertension knowledge, attitudes and perceptions among adults in the Navrongo Health and Demographic Surveillance Site: A mixed methods analysis
Authors: Singh Ahaana , Agongo Godfred , Chatio Samuel T. , Logonia Bernard , Debpuur Cornelius Y. , Ansah Patrick O , Oduro Abraham R. , Klipstein-Grobusch Kerstin , Nonterah Engelbert A 
Published: July 2023

Abstract
Background
This study assessed knowledge, behaviors, and perceptions towards hypertension following community dissemination on cardiovascular disease (CVD) risk within the Navrongo Health and Demographic Surveillance Site in Northern Ghana.
Methods
A cross-sectional mixed methods study was conducted among middle aged men and women following education on CVD and their risk factors. Knowledge and attitudes of participants regarding hypertension were measured using a survey tool and the resultant data was analyzed with descriptive statistics. Focus group discussions (FDG) were used to assess perceptions of study participants. Recorded interviews were transcribed verbatim and coded into themes using Nvivo 12 software before thematic analysis.
Results
A total of 350 participants (54% women) with a mean age of 50 ± 6 years took part in the survey while 40 took part in FGDs. The results showed that84% of participants had heard about hypertension, 70% attributed hypertension to an increase in blood pressure and could be caused by excess salt intake. Majority of the participants were aware that hypertension could be treated with hypertensive medication and that untreated or uncontrolled hypertension could result in adverse health consequences. Few participants had ever had their blood pressure measured and did not access screening or care services. Participants perceived the health system was inadequate to screen, treat and control hypertension.
Conclusion
Though, knowledge on hypertension was high, there was low access to screening and healthcare services. Community beliefs and perceptions strongly influence treatment, and control of hypertension. Effective community dissemination efforts addressing misperceptions could improve hypertension treatment and control.
What factors affect job embeddedness among clinical nurses? A structural model design
Authors: Yun Mi-Soon , Lee Miyoung , Choi Eun-Hi 
Published: July 2023

Abstract

Background
This study adopted a model-building research approach to analyze the factors affecting clinical nurses’ job embeddedness and explore the pathways to increase their embeddedness. The results are expected to provide a basis for efficient human resource management in hospitals.
Methods
Participants were 260 clinical nurses with less than one year of experience in general and tertiary general hospitals in G province and D metropolitan city in South Korea. A structured questionnaire was administered from January 10 to February 28, 2022. The variables analyzed included role conflict, positive psychological capital, social support, job crafting, and job embeddedness.
Results
The direct and total effects (both β = .806, p = .007) of positive psychological capital on job crafting were significant. The direct and total effects (both β = .451, p = .004) of social support on job crafting were significant. The direct (γ = .292, p = .055), indirect (γ = -. 671, p = .003), and total (γ = − .379, p = .008) effects of role conflict on job crafting were significant. The direct (γ = − .382, p = .007), indirect (γ = − .208 p = .003), and total (γ = − .589, p = .006) effects of role conflict on job embeddedness were significant. The direct and total (both β = .548, p = .005) effects of job crafting on job embeddedness were significant.
Conclusions
Nurses’ job embeddedness is directly influenced by their job crafting, which is shaped by high levels of positive psychological capital and social support. When job crafting takes place, role conflict increases, and if job crafting becomes difficult because of severe role conflict, job embeddedness decreases. Therefore, to increase job embeddedness among clinical nurses, hospitals must implement support systems and programs to increase job autonomy, positive psychological capital, and social support to promote job crafting.
Image-based crop disease detection with federated learning
Authors: KABALA Denis MAMBA , HAFIANE Adel , BOBELIN Laurent , CANALS Raphael 
Published: July 2023

Abstract

Crop disease detection and management is critical to improving productivity, reducing costs, and promoting environmentally friendly crop treatment methods. Modern technologies, such as data mining and machine learning algorithms, have been used to develop automated crop disease detection systems. However, centralized approach to data collection and model training induces challenges in terms of data privacy, availability, and transfer costs. To address these challenges, federated learning appears to be a promising solution. In this paper, we explored the application of federated learning for crop disease classification using image analysis. We developed and studied convolutional neural network (CNN) models and those based on attention mechanisms, in this case vision transformers (ViT), using federated learning, leveraging an open access image dataset from the "PlantVillage" platform. Experiments conducted concluded that the performance of models trained by federated learning is influenced by the number of learners involved, the number of communication rounds, the number of local iterations and the quality of the data. With the objective of highlighting the potential of federated learning in crop disease classification, among the CNN models tested, ResNet50 performed better in several experiments than the other models, and proved to be an optimal choice, but also the most suitable for a federated learning scenario. The ViT_B16 and ViT_B32 Vision Transformers require more computational time, making them less suitable in a federated learning scenario, where computational time and communication costs are key parameters. The paper provides a state-of-the-art analysis, presents our methodology and experimental results, and concludes with ideas and future directions for our research on using federated learning in the context of crop disease classification.
Safety and efficacy of endovascular interventions on transplant renal vessels within the 30-day perioperative period
Authors: Tan Weiken , Frood Russell , Masood Omar , Baker Richard , Patel Jai , Puppala Sapna 
Published: July 2023

Abstract
Background:
Vascular complications following recent renal transplantation causes a significant incidence of sub-optimal graft outcomes. These range from delayed graft function and resistant hypertension to early graft loss. Early endovascular intervention is largely avoided as it is perceived as high risk to the new vascular anastomosis. However, surgical intervention in this setting is technically challenging and associated with poor outcomes. The aim of this study is to evaluate technical and clinical outcomes after endovascular intervention within the first 30 days.
Materials and Methods:
All radiological interventions performed on transplant renal vessels within the 30-day perioperative period from April 2007 to December 2022 were assessed. The patient’s electronic notes, radiological reports and blood results were reviewed retrospectively. Parameters such as angiographic diagnosis, complications, procedure outcomes and serum creatinine levels before and after intervention were analysed.
Results:
39 early transplant renal endovascular procedures were performed in our institution. The mean endovascular intervention time after transplantation was 12 days (range 1-30 days).
Vascular pathology included transplant renal artery stenosis (n=21), renal venous stenosis (n=5), pseudoaneurysm (n=2), thrombosed renal artery (n=1), occluded renal vein with subcapsular haematoma (n=1), segmental arterial bleeding (n=1), common iliac artery stenosis (n=1) and subcortical arteriovenous fistula (n=1). Six cases did not demonstrate any significant vascular pathology.
Endovascular stenting (n=14), percutaneous transluminal angioplasty only (n=10), angiography only (n=11) and embolisation (n=4) were performed with a technical success rate of 90%. Complications occurred in six cases (arterial dissection, thromboembolism and arterial spasm). However, they were either not significant or they were successfully treated and did not lead to graft functional decline. Only two cases proceeded to surgical exploration for anastomotic reconstruction and haematoma evacuation. Seven transplants failed within a year from the endovascular intervention.
For those that had endovascular treatment, there was a significant decrease in serum creatinine levels post-procedure with a mean difference of 96.5 ± 26.8 µmol/L (p=0.002; n=22) at 1 week and 235.2 ± 42.3 µmol/L (p=0.0001; n=22) at 1 month.
Conclusion:
Endovascular intervention in newly transplanted kidneys is a safe and less invasive option which avoids the morbidity of open surgery. When used selectively, it has good therapeutic outcomes and can significantly improve graft function.
Deep Learning Framework for Automated Goblet Cell Density Analysis in In-Vivo Rabbit Conjunctiva
Authors: Jang Seunghyun , Kim Seonghan , Lee Jungbin , Choi Wan Jae , Yoon Chang Ho , Yang Sejung , Kim Ki Hean 
Published: July 2023

Abstract
Goblet cells (GCs) in the conjunctiva are specialized epithelial cells secreting mucins on the ocular surface and play important roles for ocular surface health. Because GC loss is observed in various ocular surface diseases, GC examination is important. A non-invasive GC imaging method was recently developed, and a robust analysis is needed to make GC information available. In this study, we developed a deep learning framework for GC image analysis. Dual-channel convolution was used to extract the overall texture of image and to acquire the morphological characteristics of GCs. A global channel attention module was adopted by combining attention algorithms and channel-wise pooling. The module generated an adaptive attention map through matrix multiplication with channel-wise weights and propagated information to strengthen low-level features. DCAU-Net showed 93.1% GC segmentation accuracy and 94.3% GC density estimation accuracy. Further application, both normal and ocular surface damage rabbit models revealed the spatial variations of both GC density and size and the decreases of both GC density and size in damage rabbit models during recovery after acute damage. GC image analysis results were consistent with histology. Together with the non-invasive imaging method, DCAU-Net would provide GC information for the diagnosis of ocular surface diseases.
A bi-objective optimization model for the UAV caching at amusement parks in fog computing
Authors: Darbanian Elham , Nickray Mohsen 
Published: July 2023

Abstract

Unmanned Aerial Vehicle (UAV) is designed to provide low-latency and high-quality transmission with a UAV deployed nearby to serve ground users. UAVs can be used as effective flying base stations for a dynamic cache of popular content, tracking user mobility patterns to provide effective services to users. In this paper, we investigate a network consisting of a UAV as a fog node at amusement parks. We calculate the best location of UAV that is entitled geometric median, which is calculated using a Weiszfeld-type algorithm. We define a bi-objective function problem that simultaneously minimizes the caching energy consumption and maximizes the average service success. Then we use the Goal Programming method to solve it because our problem is non-convex. Finally, we found the best number of cache contents in UAV among Pareto front points with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method.
Unraveling Temporal and Spatial Biomarkers of Epithelial-Mesenchymal Transition in Colorectal Cancer: Insights into the Crucial Role of Immunosuppressive Cells
Authors: Yu zhiwei , Wang Muhong , Deng Chunyu , Yan Mingze , Lu Haibo , Zhang Yan , Liu Honghao , Tong Zhekuan , Ma Jiaao , Wang Jiaming , Zhang Yan , Wang Jiahao , Xuan Yuhong , Cheng Haiyue , Zhao Kai , Zhang Jiaqi , Chai Cuicui , Li Mingzhe 
Published: July 2023

Abstract
The occurrence and progression of tumors can be established through a complex interplay between tumor cells undergoing epithelial-mesenchymal transition (EMT), invasive factors, and immune cells. This study utilized single-cell RNA sequencing (scRNA-seq) and spatially resolved transcriptomics (ST) to assess the pseudotime trajectory and spatial interactive relationship between EMT invasive malignant tumors and immune cells in primary CRC tissues at different stages (stage I/II and stage III with tumor deposit). The research characterized the spatiotemporal relationship between invasive tumor programs by constructing pseudotime endpoint-EMT-invasion tumor programs (EMTPs) located at the edge of ST, using evolution trajectory and EMT-invasion genes. Strikingly, The invasive and expansive process of tumors undergoes remarkable spatial reprogramming of regulatory and immunosuppressive cells, such as myeloid-derived suppressor cells (MDSCs), tumor-associated macrophages (TAMs), regulatory T cells (Treg), and exhausted T cells (Tex). These cell types are adjacent to the EMTPs and are linked to beneficial EMT invasion genes, particularly C-X-C motif ligand 1 (CXCL1) and CXCL8 which are important for prognosis. Interestingly, the EMTPs for stage I mainly produce an inflammatory pre-invasive niche, while the EMTPs for stage III tissues are likely to produce a hypoxic pre-invasive niche. Our data demonstrate the crucial role of regulatory and immunosuppressive cells in tumor progression and formation in CRC. This study provides a framework for studying the spatiotemporal pre-invasive niche of different stages in CRC samples.