bluuebunny/crossref_metadata_2025_split huggingface dataset:
Engaging primary care professionals in OECD’s international PaRIS survey: a documentary analysis
Authors: Kendir Candan , van den Berg Michael , Bloemeke-Cammin Janika , Groene Oliver , Guanais Frederico , Rochfort Andree , Valderas Jose M. , Klazinga Niek 
Published: July 2024

AbstractHealthcare professionals have first-hand experience with patients in clinical practice and the dynamics in the healthcare system, which can be of great value in the design, implementation, data analysis and dissemination of research study results. Primary care professionals are particularly important as they provide first contact, accessible, coordinated, comprehensive and continuous people-focused care. However, in-depth examination of the engagement of health professionals in health system research and planning activities—how professionals are engaged and how this varies across national contexts- is limited, particularly in international initiatives. There is a need to identify gaps in the planning of engagement activities to inform the design and successful implementation of future international efforts to improve the responsiveness of health systems to the changing needs of patients and professionals. The aim of this study was to explore how primary care professionals were engaged in the design and implementation plans of an international health policy study led by the Organisation for Economic Co-operation and Development (OECD). The OECD’s international PaRIS survey measures and disseminates information on patient-reported outcome and experience measures (PROMs and PREMs) of people living with chronic conditions who are managed in primary care. A documentary analysis of 17 written national implementation plans (country roadmaps) was conducted between January and June 2023. Two reviewers independently performed the screening and data abstraction and resolved disagreements by discussion. We reported the intended target primary care professionals, phase of the study, channel of engagement, level of engagement, and purpose of engagement. All 17 countries aimed to engage primary care professionals in the execution plans for the international PaRIS survey. While organisations of primary care professionals, particularly of family doctors, were the most commonly targeted group, variation was found in the timing of engagement activities during the different phases of the study and in the level of engagement, ranging from co-development (half of the countries co-developed the survey together with primary care professionals) to one-off consultations with whom. International guidance facilitated the participation of primary care professionals. Continuous collaborative efforts at the international and national levels can foster a culture of engagement with primary care organisations and individual professionals and enhance meaningful engagement of primary care professionals.
The biological characteristics and infection dynamics of a novel H3N2 canine influenza virus genotype in beagles
Authors: Ge Fei-fei , Shen Hai-xiao , Yang De-quan , Yang Xian-chao , Li Xin , Wang Jian , Huang Shixin 
Published: July 2024

Abstract
Background
The canine influenza virus (CIV) outbreak has garnered considerable attention as it poses a significant threat to dog health. During the H3N2 CIV evolution in beagles, the virus formed a new clade after 2019 and gradually became more adaptable to other mammals. Therefore, successfully elucidating the biological characteristics and constructing a canine influenza infection model is required for CIV characterization.

Methods
We performed genetic analyses to examine the biological characteristics and infection dynamics of CIV.

Results
The genotype of our H3N2 CIV strain (from 2019 in Shanghai) belonged to the 5.1 clade, which is now prevalent in China. Using MDCK cells, we investigated viral cytopathic effects. Virus size and morphology were observed using transmission electron microscopy. Beagles were also infected with 104, 105, and 106 50% egg-infectious doses (EID50). When compared with the other groups, the 106 EID50 group showed the most obvious clinical symptoms, the highest virus titers, and typical lung pathological changes. Our results suggested that the other two treatments caused mild clinical manifestations and pathological changes. Subsequently, CIV distribution in the 106 EID50 group was detected by hematoxylin and eosin (H&E) and immunofluorescence (IF) staining, which indicated that CIV primarily infected the lungs.

Conclusions
The framework established in this study will guide further CIV prevention strategies.
Quality of life in patients with acromegaly: a scoping review
Authors: Wang Wei , Yang Ting , Huang Qinghua 
Published: July 2024

Abstract
Purpose
To evaluate the available evidence regarding the quality of life (QoL) in patients with acromegaly, by synthesizing the psychosocial factors of QoL, QoL measures, and complementary interventions targeting QoL.

Methods
A scoping review was conducted using the PRISMA-ScR guideline. We searched six English databases (PubMed, Embase, CINAHL, Scopus, Web of Science, and the Cochrane Library) from the inception to August 21, 2023. We included observational studies involving psychosocial factors and complementary interventions targeting QoL (concept) in patients with acromegaly (population) in any setting (context). The design characteristics, psychosocial factors, measures, details of interventions, and outcomes of included studies were described in detail.

Results
Twenty-one studies were identified, including sixteen cross-sectional studies and five interventional studies. Ten categories of psychosocial factors that are associated with QoL in acromegaly. Depression and anxiety were the most frequent psychosocial factors. Seven different validated QoL measures were used. AcroQoL was the most common measure. Two categories of complementary interventions targeting QoL were identified including psychological and exercise interventions.

Conclusions
Our scoping review provides a reasonably clear picture of the current research status of QoL in acromegaly. However, this review also highlights the need to deepen understanding of QoL and psychosocial factors in the future, as well as conduct longitudinal research and qualitative research to clarify the changing trends of psychosocial factors and specific experiences of patients. Further, more potential clinical complementary interventions are needed to improve QoL for patients with acromegaly.
Investigation, management and control of a maedi outbreak in Norway in 2019-2020
Authors: Rømo Grim , Åkerstedt Johan , Nordstoga Anne Bang , Borge Anniken Jerre , Wisløff Helene , Gjerset Britt , Klevar Siv , Valheim Mette , Mjømen Irene Skei , Schei-Berg Elisabeth , Vatn Synnøve , Kampen Annette Hegermann 
Published: July 2024

Abstract
Background
Visna-maedi is a notifiable disease in Norway, and eliminating the disease is a national goal. The import of sheep into Norway is very limited, and strict regulations apply to the movement of small ruminants between flocks and within defined geographical regions. Several outbreaks have occurred in the last 50 years, and the most recent before 2019 occurred in Trøndelag county in Central Norway in 2002. A national surveillance programme for small ruminant lentivirus infection exists since 2003.

Results
In 2019, the national surveillance programme detected seropositive animals for small ruminant lentivirus in a sheep flock in Trøndelag. Based on the result of polymerase chain reaction analysis and histopathological findings, the Norwegian Food Safety Authority concluded the diagnosis of maedi. Further investigations detected maedi in eight additional sheep flocks in the same county. The flocks were placed under restrictions, and the authorities also imposed restrictions on 82 contact flocks. Sequencing of partial gag genes indicated that the virus in the current outbreak was related to the small ruminant lentivirus detected in the same area between 2002 and 2005.

Conclusions
The outbreak investigation shows the need for sensitive and specific diagnostic methods, and an improved and more targeted surveillance strategy. It also demonstrates the risk of disease spreading between flocks through animal movements, and highlights the importance of biosecurity and structured livestock trade. In addition to allowing livestock trade only from flocks documented free from maedi, it may be necessary to monitor sheep flocks over many years, when aiming to eliminate maedi from the Norwegian sheep population.
Effect of melatonin supplementation on cardiometabolic risk factors, oxidative stress and hormonal profile in PCOS patients: a systematic review and meta-analysis of randomized clinical trials
Authors: Ziaei Somayeh , Hasani Motahareh , Malekahmadi Mahsa , Daneshzad Elnaz , Kadkhodazadeh Katayoun , Heshmati Javad 
Published: July 2024

Abstract
Background
To investigate whether melatonin supplementation can enhance cardiometabolic risk factors, reduce oxidative stress, and improve hormonal and pregnancy-related factors in patients with PCOS.

Methods
We conducted a systematic search of PubMed/Medline, Scopus, and the Cochrane Library for articles published in English from inception to March 2023. We included randomized controlled trials (RCTs) on the use of melatonin for patients with polycystic ovary syndrome (PCOS). We performed a meta-analysis using a random-effects model and calculated the standardized mean differences (SMDs) and 95% confidence intervals (CIs).

Results
Six studies met the inclusion criteria. The result of meta-analysis indicated that melatonin intake significantly increase TAC levels (SMD: 0.87, 95% CI: 0.46, 1.28, I2 = 00.00%) and has no effect on FBS, insulin, HOMA-IR, TC, TG, HDL, LDL, MDA, hs-CRP, mFG, SHBG, total testosterone, and pregnancy rate in patients with PCOS compare to controls. The included trials did not report any adverse events.

Conclusion
Melatonin is a potential antioxidant that may prevent damage from oxidative stress in patients with PCOS. However, the clear effect of melatonin supplementation on cardiometabolic risk factors, hormonal outcomes, and pregnancy-related outcomes needs to be evaluated further in large populations and long-term RCTs.
VirRep: a hybrid language representation learning framework for identifying viruses from human gut metagenomes
Authors: Dong Yanqi , Chen Wei-Hua , Zhao Xing-Ming 
Published: July 2024

AbstractIdentifying viruses from metagenomes is a common step to explore the virus composition in the human gut. Here, we introduce VirRep, a hybrid language representation learning framework, for identifying viruses from human gut metagenomes. VirRep combines a context-aware encoder and an evolution-aware encoder to improve sequence representation by incorporating k-mer patterns and sequence homologies. Benchmarking on both simulated and real datasets with varying viral proportions demonstrates that VirRep outperforms state-of-the-art methods. When applied to fecal metagenomes from a colorectal cancer cohort, VirRep identifies 39 high-quality viral species associated with the disease, many of which cannot be detected by existing methods.
Caregiver recruitment strategies for interventions designed to optimize transitions from hospital to home: lessons from a randomized trial
Authors: Gustavson Allison M. , Horstman Molly J. , Cogswell Jodie A. , Holland Diane E. , Vanderboom Catherine E. , Mandrekar Jay , Harmsen William S. , Kaufman Brystana G. , Ingram Cory , Griffin Joan M. 
Published: July 2024

AbstractChallenges to recruitment of family caregivers exist and are amplified when consent must occur in the context of chaotic healthcare circumstances, such as the transition from hospital to home. The onset of the COVID-19 pandemic during our randomized controlled trial provided an opportunity for a natural experiment exploring and examining different consent processes for caregiver recruitment. The purpose of this publication is to describe different recruitment processes (in-person versus virtual) and compare diversity in recruitment rates in the context of a care recipient’s hospitalization. We found rates of family caregiver recruitment for in-person versus virtual were 28% and 23%, respectively (p = 0.01). Differences existed across groups with family caregivers recruited virtually being more likely to be younger, white, have greater than high school education, and not be a spouse or significant other to the care recipient, such as a child. Future work is still needed to identify the modality and timing of family caregiver recruitment to maximize rates and enhance the representativeness of the population for equitable impact.
Respective contribution of baseline clinical data, tumour metabolism and tumour blood-flow in predicting pCR after neoadjuvant chemotherapy in HER2 and Triple Negative breast cancer
Authors: Payan Neree , Presles Benoit , Coutant Charles , Desmoulins Isabelle , Ladoire Sylvain , Beltjens Françoise , Brunotte François , Vrigneaud Jean-Marc , Cochet Alexandre 
Published: July 2024

Abstract

Background:
The aim of this study is to investigate the added value of combining tumour blood flow (BF) and metabolism parameters, including texture features, with clinical parameters to predict, at baseline, the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in patients with newly diagnosed breast cancer (BC).

Methods:
One hundred and twenty-eight BC patients underwent a 18F-FDG PET/CT before any treatment. Tumour BF and metabolism parameters were extracted from first-pass dynamic and delayed PET images, respectively. Standard and texture features were extracted from BF and metabolic images. Prediction of pCR was performed using logistic regression, random forest and support vector classification algorithms. Models were built using clinical (C), clinical and metabolic (C+M) and clinical, metabolic and tumour BF (C+M+BF) information combined. Algorithms were trained on 80% of the dataset and tested on the remaining 20%. Univariate and multivariate features selections were carried out on the training dataset. A total of 50 shuffle splits were performed. The analysis was carried out on the whole dataset (HER2 and Triple Negative (TN)), and separately in HER2 (N=76) and TN (N=52) tumours.

Results:
In the whole dataset, the highest classification performances were observed for C+M models, significantly (p-value<0.01) higher than C models and better than C+M+BF models (mean balanced accuracy of 0.66, 0.61, and 0.64 respectively). For HER2 tumours, equal performances were noted for C and C+M models, with performances higher than C+M+BF models (mean balanced accuracy of 0.64, and 0.61 respectively). Regarding TN tumours, the best classification results were reported for C+M models, with better performances than C and C+M+BF models but not significantly (mean balanced accuracy of 0.65, 0.63, and 0.62 respectively).

Conclusion:
Baseline clinical data combined with global and texture tumour metabolism parameters assessed by 18F-FDG PET/CT provide a better prediction of pCR after NAC in patients with BC compared to clinical parameters alone for TN, and HER2 and TN tumours together. In contrast, adding BF parameters to the models did not improve prediction, regardless of the tumour subgroup analysed.
Errorless robust JPEG steganography using steganographic polar codes
Authors: Zhang Jimin , He Xiaolei , Cao Yun 
Published: July 2024

AbstractRecently, a robust steganographic algorithm that achieves errorless robustness against JPEG recompression has been proposed. The method employs a lattice embedding scheme and utilizes the syndrome-trellis code (STC) for practical embedding. However, we have noticed that errorless robust embedding with STC may encounter failures due to modifications on wet coefficients, especially when a high quality factor is used by the compression channel. To solve this problem, we have discovered that using steganographic polar code (SPC) for embedding has better performance in avoiding modifications on wet coefficients. In this paper, we conduct theoretical analysis to prove the better performance of SPC in wet paper embedding. We establish the condition of avoiding modifications on wet coefficients, followed by presenting a recursive calculation method for determining the distribution of columns in the generator matrix of SPC. The findings reveal that SPC can avoid modifications on wet coefficients under a larger number of wet coefficients compared with STC, and therefore we propose a better errorless robust embedding method employing SPC. The experimental results demonstrate that under close security performance, the proposed method achieves a higher success rate compared with embedding with STC. Specifically, when the quality factor of the compressor is 95 and the payload size is 0.4 bpnzac, our method achieves a success rate of 99.85%, surpassing the 91.95% success rate of the embedding with STC.
Identifying, restoring, and remastering of the Sarinah relief sculpture in Jakarta of Indonesia: the limitations of time, space, and technology
Authors: Ardhiati Yuke , Hasan Asikin 
Published: July 2024

Abstract
The Sarinah historic building transformation project in Jakarta, Indonesia (2020–2022) is an adaptive reuse of the original building formed through a scientific conservation process. Therefore, this research identified, restored, and remastered the Sarinah relief sculpture of alto-relievo (high relief) and mezzo-relievo (medium relief). The invasive demolition method was used to form an atrium space to show the reappearance of the artwork by dismantling two layers of building floors above where the relief was found. The non-invasive method was implemented (a) by identifying damaged mapping artifacts, (b) by restoring, cleaning, and repairing the broken artifacts, and (c) by remastering the 3D model. All activities were supported by digital applications such as the Cartesian diagram coordinates, AutoCAD, Adobe Photoshop, Zbrush software, and close-range photogrammetry. The case study's contribution to heritage science showed the process used to restore alto-relievo and mezzo-relief within time, space, and technology limitations.
Quantitative research of street interface morphology in urban historic districts: a case study of west street historic district, Quanzhou
Authors: Huang Kai , Kang Peiran , Zhao Yang 
Published: July 2024

Abstract
Historical urban districts are imbued with a multitude of elements, including historical heritage, cultural significance, social relationships, and daily activities, making them of significant research value. Through a review of previous literature, it is evident that research on the protection and renewal of historical urban districts has mostly focused on macro-level planning and development. Addressing the lack of spatial morphology quantification research at the meso-level, this paper proposes a method suitable for quantifying interface morphology in historical streets. Using the historical cultural street district of Xijie in Quanzhou, Fujian Province as a case study, this research employs parameters such as Distance-Height Ratio, Interface Density, Build-To-Line Rate, and Near-Line Rate to quantify and summarize the morphology of street interfaces. It then proposes transformation strategies to guide the protection and renewal of streets in the future. The study validates the feasibility of this quantification method and provides valuable insights for the protection and renewal of historical urban districts.
3D airway geometry analysis of factors in airway navigation failure for lung nodules
Authors: Cho Hwan-ho , Choe Junsu , Kim Jonghoon , Oh Yoo Jin , Park Hyunjin , Lee Kyungjong , Lee Ho Yun 
Published: July 2024

Abstract
Background
This study aimed to quantitatively reveal contributing factors to airway navigation failure during radial probe endobronchial ultrasound (R-EBUS) by using geometric analysis in a three-dimensional (3D) space and to investigate the clinical feasibility of prediction models for airway navigation failure.

Methods
We retrospectively reviewed patients who underwent R-EBUS between January 2017 and December 2018. Geometric quantification was analyzed using in-house software built with open-source python libraries including the Vascular Modeling Toolkit (http://www.vmtk.org), simple insight toolkit (https://sitk.org), and sci-kit image (https://scikit-image.org). We used a machine learning-based approach to explore the utility of these significant factors.

Results
Of the 491 patients who were eligible for analysis (mean age, 65 years +/- 11 [standard deviation]; 274 men), the target lesion was reached in 434 and was not reached in 57. Twenty-seven patients in the failure group were matched with 27 patients in the success group based on propensity scores. Bifurcation angle at the target branch, the least diameter of the last section, and the curvature of the last section are the most significant and stable factors for airway navigation failure. The support vector machine can predict airway navigation failure with an average area under the curve of 0.803.

Conclusions
Geometric analysis in 3D space revealed that a large bifurcation angle and a narrow and tortuous structure of the closest bronchus from the lesion are associated with airway navigation failure during R-EBUS. The models developed using quantitative computer tomography scan imaging show the potential to predict airway navigation failure.
Nanofeatured surfaces in dental implants: contemporary insights and impending challenges
Authors: Komatsu Keiji , Matsuura Takanori , Cheng James , Kido Daisuke , Park Wonhee , Ogawa Takahiro 
Published: July 2024

AbstractDental implant therapy, established as standard-of-care nearly three decades ago with the advent of microrough titanium surfaces, revolutionized clinical outcomes through enhanced osseointegration. However, despite this pivotal advancement, challenges persist, including prolonged healing times, restricted clinical indications, plateauing success rates, and a notable incidence of peri-implantitis. This review explores the biological merits and constraints of microrough surfaces and evaluates the current landscape of nanofeatured dental implant surfaces, aiming to illuminate strategies for addressing existing impediments in implant therapy. Currently available nanofeatured dental implants incorporated nano-structures onto their predecessor microrough surfaces. While nanofeature integration into microrough surfaces demonstrates potential for enhancing early-stage osseointegration, it falls short of surpassing its predecessors in terms of osseointegration capacity. This discrepancy may be attributed, in part, to the inherent “dichotomy kinetics” of osteoblasts, wherein increased surface roughness by nanofeatures enhances osteoblast differentiation but concomitantly impedes cell attachment and proliferation. We also showcase a controllable, hybrid micro-nano titanium model surface and contrast it with commercially-available nanofeatured surfaces. Unlike the commercial nanofeatured surfaces, the controllable micro-nano hybrid surface exhibits superior potential for enhancing both cell differentiation and proliferation. Hence, present nanofeatured dental implants represent an evolutionary step from conventional microrough implants, yet they presently lack transformative capacity to surmount existing limitations. Further research and development endeavors are imperative to devise optimized surfaces rooted in fundamental science, thereby propelling technological progress in the field.