bluuebunny/crossref_metadata_2025_split huggingface dataset:
Severe acute respiratory syndrome coronavirus 2 seroprevalence and longitudinal antibody response following natural infection in pregnancy: A prospective cohort study
Authors: Drake Alison L , Escudero Jaclyn N , Aurelio Morgan C , Wetzler Erica A , Ellington Sascha R , Zapata Lauren B , Galang Romeo R , Snead Margaret C , Yamamoto Krissy , Salerno Carol C , Richardson Barbra A , Greninger Alexander L , Kachikis Alisa B , Englund Janet A , LaCourse Sylvia M 
Published: August 2023

Background: Antenatal care provides unique opportunities to assess severe acute respiratory syndrome coronavirus 2 seroprevalence and antibody response duration after natural infection detected during pregnancy; transplacental antibody transfer may inform peripartum and neonatal protection. We estimated seroprevalence and durability of antibodies from natural infection (anti-nucleocapsid immunoglobulin G) among pregnant people, and evaluated transplacental transfer efficiency. Objective and design: We conducted a cross-sectional study to measure severe acute respiratory syndrome coronavirus 2 seroprevalence, and a prospective cohort study to longitudinally measure anti-nucleocapsid immunoglobulin G responses and transplacental transfer of maternally derived anti-nucleocapsid antibodies. Methods: We screened pregnant people for the seroprevalence study between 9 December 2020 and 19 June 2021 for anti-nucleocapsid immunoglobulin G in Seattle, Washington. We enrolled anti-nucleocapsid immunoglobulin G positive people from the seroprevalence study or identified through medical records with positive reverse transcription polymerase chain reaction or antigen positive results in a prospective cohort between 9 December 2020 and 9 August 2022. Results: In the cross-sectional study (N = 1284), 5% (N = 65) tested severe acute respiratory syndrome coronavirus 2 anti-nucleocapsid immunoglobulin G positive, including 39 (60%) without prior positive reverse transcription polymerase chain reaction results and 42 (65%) without symptoms. In the prospective cohort study (N = 107 total; N = 65 from the seroprevalence study), 86 (N = 80%) had anti-nucleocapsid immunoglobulin G positive results during pregnancy. Among 63 participants with delivery samples and prior anti-nucleocapsid positive results, 29 (46%) were anti-nucleocapsid immunoglobulin G negative by delivery. Of 34 remaining anti-nucleocapsid immunoglobulin G positive at delivery with paired cord blood, 19 (56%) had efficient transplacental anti-nucleocapsid immunoglobulin G antibody transfer. Median time from first anti-nucleocapsid immunoglobulin G positive to below positive antibody threshold was 19 weeks and did not differ by prior positive reverse transcription polymerase chain reaction status. Conclusions: Maternally derived severe acute respiratory syndrome coronavirus 2 antibodies to natural infection may wane before delivery. Vaccines are recommended for pregnant persons to reduce severe illness and confer protection to infants.
Pay to be green? The effect of corporate social responsibility contracting on green innovation performance
Authors: Hou Yuting , Bello-Pintado Alejandro , García-Marco Teresa 
Published: August 2023

This study examines how the integration of corporate social responsibility (CSR) criteria in executive compensation can improve green innovation performance in European countries. Using agency theory and stakeholder theory, and a database of 5,603 firm-year observations from European companies in the period 2012–2021, we find that CSR aligns the interests of senior executives with the company’s green innovation goals through green compensation contracts. We also explore the indirect effect in this relationship and reveal that the implementation of green practices mediates the impact of CSR contracting on green innovation performance. These findings indicate that CSR contracting as an effective governance mechanism could be strengthened by green practices, such as reducing resource use, water efficiency, energy reuse, emission reduction and pollution prevention. This study offers valuable insights for senior executives and policymakers who wish to manage CSR initiatives and green practices to improve their green innovation performance. JEL CLASSIFICATION: Q56 M12
Barriers to and facilitators of the use of oxygen therapy in people living with an interstitial lung disease: a systematic review of qualitative evidence
Authors: Tikellis Gabriella , Hoffman Mariana , Mellerick Christie , Burge Angela T. , Holland Anne E. 
Published: August 2023

Background:Oxygen therapy is prescribed to treat hypoxaemia in people with interstitial lung disease (ILD); however, uptake and adherence remain an ongoing challenge. This systematic review aimed to identify the barriers to and facilitators of use of oxygen therapy in people with ILD, caregivers and health professionals.Methods:A systematic search for qualitative literature was undertaken using five electronic databases (MEDLINE, CINAHL, Embase, PsycINFO, PubMed). Qualitative analysis identified themes that were mapped to the Theoretical Domains Framework and the Consolidated Framework for Implementation Research and classified as barriers, facilitators or both.Results:A total of 13 studies were eligible for inclusion. Commonly represented domains were associated with the design of the oxygen delivery system, the associated cost, financing, stigmatisation, the physical environment and the individual needs that acted as barriers to and facilitators of the optimisation of oxygen therapy.Conclusion:Effective implementation of oxygen therapy in ILD requires more robust evidence to strengthen international guidelines, sustainable and equitable funding models, and improved oxygen delivery systems that meet the needs of users. Increased information and support for users will be critical to optimise the uptake and outcomes of this important therapy.
Intramedullary nailing versus cemented plate for treating metastatic pathological fracture of the proximal humerus: a comparison study and literature review
Authors: Wu Karl , Lin Ting , Lee Cheng-Han 
Published: August 2023

Abstract
Background
Pathological fracture of the humerus causes severe pain, limited use of the hand, and decreased quality of life. This study aimed to compare the outcomes of intramedullary nailing and locking plate in treating metastatic pathological fractures of the proximal humerus.

Methods
This retrospective comparison study included 45 patients (22 male, 23 female) with proximal humerus metastatic pathological fractures who underwent surgical treatment between 2011 and 2022. All data were collected from medical records and were analyzed retrospectively. Seventeen cases underwent intramedullary nailing plus cement augmentation, and 28 cases underwent locking plate plus cement augmentation. The main outcomes were pain relief, function scores, and complications.

Results
Among 45 patients with mean age 61.7 ± 9.7 years, 23 (51.1%) had multiple bone metastases, and 28 (62.2%) were diagnosed with impending fractures. The nailing group had significantly lower blood loss [100 (60–200) versus 500 (350–600) ml, p < 0.001] and shorter hospital stay (8.4 ± 2.6 versus 12.3 ± 4.3 days, p < 0.001) than the plating group. Average follow-up time of the nailing group was 12 months and 16.5 months for the plating group. The nailing group had higher visual analog scale (VAS) scores than the plating group, indicating greater pain relief with nailing [7 (6–8) versus 6 (5–7), p = 0.01]. Musculoskeletal Tumor Society functional scores [28 (27–29) versus 27 (26.5–28.5), p = 0.23] were comparable between groups. No complications, local recurrence, or revision surgery were reported until the last follow-up in either group. However, one case in the plating group had a humeral head collapse and fragmentation without needing revision surgery.

Conclusions
Intramedullary nailing with cement augmentation is a viable option for treating proximal humerus metastatic pathological fracture, providing rigid fixation and better pain relief resulting in earlier mobility to optimize functional outcomes. Less invasive procedure with less blood loss and shorter hospital stay also benefits patients.
Level of evidence Level II.
Trial registration statement Not applicable.
Retrieval of ferromagnetic fragments from the lung using video-assisted thoracoscopic surgery and magnetic tool: a case report of combat patient injured in the war in Ukraine
Authors: Lurin Igor , Khoroshun Eduard , Negoduiko Volodymyr , Makarov Volodymyr , Shypilov Serhii , Boroday Volodymyr , Gorobeiko Maksym , Dinets Andrii 
Published: August 2023

Abstract
Background
Gunshot wounds injury to the thorax is common in armed conflicts or war, including the war of Russia against Ukraine. Injury to the chest is associated with a high mortality or physical disability due to damage to the lungs, heart, and major vessels.
The aim of this report is to demonstrate a case of successful management of severe gunshot injury to the lungs using video-assisted thoracoscopic surgery and magnetic tool for a combat patient injured in the war in Ukraine.

Case presentation
A 51-year-old soldier of the Armed Forces of Ukraine received a gunshot injury due to shelling from artillery strikes in the Donbas battlefield area. After evacuation to Level II, a forward surgical team performed primary surgical debridement. Two hours after the injury, the patient was evacuated to the Level IV of medical care (Kharkiv). At Level IV, a CT scan showed penetrating gunshot wounds to the left part of the chest with injury to the upper lobe of the left lung with the presence of the 2 metal fragments of the artillery projectile with the size of 2.5 × 2.0 cm and 1.0 × 1.0 cm. These two fragments were removed by using video-assisted thoracoscopic surgery (VATS) using the inlet gunshot hole in the left lateral chest area, as well as the assistance of a magnetic tool.

Conclusions
VATS and magnetic technologies should be considered for hemodynamically stable combat patients with a gunshot injury to the lungs in the ongoing war. Each combat patient could be treated by individualized approach such as using the wound canal as a scope port after primary surgical debridement of the wound and antibiotic prophylaxis.
A novel hybrid model to predict concomitant diseases for Hashimoto’s thyroiditis
Authors: Ataş Pınar Karadayı 
Published: August 2023

AbstractHashimoto’s thyroiditis is an autoimmune disorder characterized by the destruction of thyroid cells through immune-mediated mechanisms involving cells and antibodies. The condition can trigger disturbances in metabolism, leading to the development of other autoimmune diseases, known as concomitant diseases. Multiple concomitant diseases may coexist in a single individual, making it challenging to diagnose and manage them effectively. This study aims to propose a novel hybrid algorithm that classifies concomitant diseases associated with Hashimoto’s thyroiditis based on sequences. The approach involves building distinct prediction models for each class and using the output of one model as input for the subsequent one, resulting in a dynamic decision-making process. Genes associated with concomitant diseases were collected alongside those related to Hashimoto’s thyroiditis, and their sequences were obtained from the NCBI site in fasta format. The hybrid algorithm was evaluated against common machine learning algorithms and their various combinations. The experimental results demonstrate that the proposed hybrid model outperforms existing classification methods in terms of performance metrics. The significance of this study lies in its two distinctive aspects. Firstly, it presents a new benchmarking dataset that has not been previously developed in this field, using diverse methods. Secondly, it proposes a more effective and efficient solution that accounts for the dynamic nature of the dataset. The hybrid approach holds promise in investigating the genetic heterogeneity of complex diseases such as Hashimoto’s thyroiditis and identifying new autoimmune disease genes. Additionally, the results of this study may aid in the development of genetic screening tools and laboratory experiments targeting Hashimoto’s thyroiditis genetic risk factors. New software, models, and techniques for computing, including systems biology, machine learning, and artificial intelligence, are used in our study.
Integrating genomics and transcriptomics to identify candidate genes for high egg production in Wulong geese (Anser cygnoides orientalis)
Authors: Liu Jingjing , Xiao Yu , Ren Pengwei , Zhang Shuer , Liu Yang , Zhu Mingxia 
Published: August 2023

Abstract
Background
Wulong geese (Anser cygnoides orientalis) are known for their excellent egg-laying performance. However, they show considerable population differences in egg-laying behavior. This study combined genome-wide selection signal analysis with transcriptome analysis (RNA-seq) to identify the genes related to high egg production in Wulong geese.

Results
A total of 132 selected genomic regions were screened using genome-wide selection signal analysis, and 130 genes related to high egg production were annotated in these regions. These selected genes were enriched in pathways related to egg production, including oocyte meiosis, the estrogen signaling pathway, the oxytocin signaling pathway, and progesterone-mediated oocyte maturation. Furthermore, a total of 890 differentially expressed genes (DEGs), including 340 up-regulated and 550 down-regulated genes, were identified by RNA-seq. Two genes — GCG and FAP — were common to the list of selected genes and DEGs. A non-synonymous single nucleotide polymorphism was identified in an exon of FAP.

Conclusions
Based on genome-wide selection signal analysis and transcriptome data, GCG and FAP were identified as candidate genes associated with high egg production in Wulong geese. These findings could promote the breeding of Wulong geese with high egg production abilities and provide a theoretical basis for exploring the mechanisms of reproductive regulation in poultry.
Enhancing Vicia faba’s immunity against Rhizoctonia solani root rot diseases by arbuscular mycorrhizal fungi and nano chitosan
Authors: El-Gazzar Nashwa , El-Hai Kamar. M. Abd , Teama Safaa. A. M. , Rabie Gamal. H. 
Published: August 2023

Abstract
Background
The spreading of root rot disease of faba bean plant (Vichia faba L, VF) in Egypt is still of great challenge faced researchers since VF is an important legume in Egypt, because their seeds are used for human feeding. Fungicides are used for treatment of either seeds or soil; unfortunately they cause environmental pollution. Therefore, there is a need to continue research to find out safe natural solutions. In this regard, Arbuscular mycorrhizal fungi (AMF) and chitosan (micro or nanoform) were used as an inhibitory product against Rhizoctonia solani OM918223 (R.solani) either singly or in combinations.

Results
The results employed herein have exhibited that R.solani caused root rot disease of VF plants in more than 80% of the plants under investigation. Chitosan nanoparticles (Chitosan NPs) were prepared by ionic gelatin method and characterized by using dynamic light scattering (DLS), transmission electron microscopy (TEM) imaging and Fourier transform infra-red (FTIR). Chitosan NPs are spherical with a diameter of 78.5 nm and exhibited the presence of different functional groups. The inhibitory natural products against R.solani were arranged according to their ability to inhibit the pathogen used in the following descending manner; combination of AMF with Chitosan NPs, AMF with micro chitosan and single AMF, respectively. Where, Chitosan NPs showed a potent influence on R.solani pathogen and reduced the pre-and post-emergence of R. solani. In addition, Chitosan NPs reduced Disease Incidence (DI %) and Disease Severity (DS %) of root rot disease and are widely functional through mixing with AMF by about 88% and 89%. Further, Chitosan NPs and micro chitosan were proved to increase the growth parameters of VF plants such as nutritional status (mineral, soluble sugar, and pigment content), and defense mechanisms including total phenol, peroxidase, and polyphenol oxidase in mycorrhizal plants more than non-mycorrhizal one either in infected or healthy plants. Moreover, activity of AMF as an inhibitory against R.solani and improvement natural agent for VF growth parameters was enhanced through its fusing with Chitosan NPs.

Conclusions
The use of AMF and Chitosan NPs increased faba bean plant resistance against the infection of root rot R. solani, with both prevention and cure together. Therefore, this research opens the door to choose natural and environmental friendly treatments with different mechanisms of plant resistance to disease.
Development and external validation of a diagnostic model for cardiometabolic-based chronic disease : results from the China health and retirement longitudinal study (CHARLS)
Authors: Li Yong 
Published: August 2023

Abstract
Background
Cardiovascular disease(CVD) is the leading cause of death in the world. Cardiometabolic-based chronic disease (CMBCD) model is presented that provides a basis for sustainable and early, evidence-based therapeutic targeting to mitigate the ravagest and development of CVD. CMBCD include dysglycemia, hypertension, and/or dyslipidemia progressing to downstream CVD events.

Objectives
The objective of our research was to develop and externally validate a diagnostic model of CMBCD.

Methods
Design: Multivariable logistic regression of a cohort for 9,463 participants aged at least 45 years were drawn from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS). Setting: The 2018 wave of the CHARLS. Participants:Diagnostic model development: Totally 6,218 participants whose individual ID < 250,000,000,000. External validation: Totally 3,245 participants whose individual ID > 250,000,000,000. Outcomes: CMBCD .

Results
CMBCD occurred in 25.5%(1,584/6,218)of individuals in the development data set and 26.2%(850 /3,245)of individuals in the validation data set. The strongest predictors of CMBCD were age, general health status, location of residential address, smoking, housework ability, pain, and exercise tolerance. We developed a diagnostic model of CMBCD. Discrimination was the ability of the diagnostic model to differentiate between people who with and without CMBCD. This measure was quantified by calculating the area under the receiver operating characteristic(ROC) curve(AUC).The AUC was 0.6199 ± 0.0083, 95% confidence interval(CI) = 0.60372 ~ 0.63612. We constructed a nomograms using the development database based on age, general health status, location of residential address, smoking, housework ability, pain, and exercise tolerance. The AUC was 0.6033 ± 0.0116, 95% CI = 0.58066 ~ 0.62603 in the validation data set.

Conclusions
We developed and externally validated a diagnostic model of CMBCD. Discrimination, calibration, and decision curve analysis were satisfactory.
Clinical characteristics of Dieulafoy’s lesion in the small bowel diagnosed and treated by double-balloon endoscopy
Authors: Nakamura Masanao , Yamamura Takeshi , Maeda Keiko , Sawada Tsunaki , Ishikawa Eri , Furukawa Kazuhiro , Iida Tadashi , Mizutani Yasuyuki , Yamao Kentaro , Ishikawa Takuya , Honda Takashi , Ishigami Masatoshi , Kawashima Hiroki 
Published: August 2023

Abstract
Background
Obscure gastrointestinal bleeding refers to bleeding for which the source cannot be ascertained even through balloon-assisted endoscopy. In certain instances, Dieulafoy’s lesion in the small bowel is presumed to be the underlying cause.

Aim
This retrospective study aimed to elucidate the clinical characteristics of Dieulafoy’s lesion in the small bowel as diagnosed via double-balloon endoscopy while also exploring the feasibility of predicting bleeding from Dieulafoy’s lesion prior to endoscopy in cases of obscure gastrointestinal bleeding.

Methods
A comprehensive analysis of our database was conducted, identifying 38 patients who received a diagnosis of Dieulafoy’s lesion and subsequently underwent treatment via double-balloon endoscopy. The clinical background, diagnosis, and treatment details of patients with Dieulafoy’s lesion were carefully examined.

Results
The median age of the 38 patients was 72 years, and 50% of the patients were male. A total of 26 (68%) patients exhibited a high comorbidity index. The upper jejunum and lower ileum were the most frequently reported locations for the occurrence of Dieulafoy’s lesion in the small bowel. The detected Dieulafoy’s lesions exhibited active bleeding (n = 33) and an exposed vessel with plaque on the surface (n = 5). Rebleeding after endoscopic treatment occurred in 8 patients (21%, median period: 7 days, range: 1-366 days). We conducted an analysis to determine the definitive nature of the initial double-balloon endoscopy diagnosis. Multivariate analysis revealed that hematochezia of ≥ 2 episodes constituted the independent factor associated with ≥ 2 double-balloon endoscopy diagnoses. Additionally, we explored factors associated with rebleeding following endoscopic treatment. Although the number of hemoclips utilized displayed a likely association, multivariate analysis did not identify any independent factor associated with rebleeding.

Conclusion
If a patient encounters multiple instances of hematochezia, promptly scheduling balloon-assisted endoscopy, equipped with optional instruments without delay is advised, after standard endoscopic evaluation with esophagogastroduodenoscopy and colonoscopy is unrevealing.
Machine learning pipeline for blood culture outcome prediction using Sysmex XN-2000 blood sample results in Western Australia
Authors: McFadden Benjamin R. , Inglis Timothy J. J. , Reynolds Mark 
Published: August 2023

Abstract
Background
Bloodstream infections (BSIs) are a significant burden on the global population and represent a key area of focus in the hospital environment. Blood culture (BC) testing is the standard diagnostic test utilised to confirm the presence of a BSI. However, current BC testing practices result in low positive yields and overuse of the diagnostic test. Diagnostic stewardship research regarding BC testing is increasing, and becoming more important to reduce unnecessary resource expenditure and antimicrobial use, especially as antimicrobial resistance continues to rise. This study aims to establish a machine learning (ML) pipeline for BC outcome prediction using data obtained from routinely analysed blood samples, including complete blood count (CBC), white blood cell differential (DIFF), and cell population data (CPD) produced by Sysmex XN-2000 analysers.

Methods
ML models were trained using retrospective data produced between 2018 and 2019, from patients at Sir Charles Gairdner hospital, Nedlands, Western Australia, and processed at Pathwest Laboratory Medicine, Nedlands. Trained ML models were evaluated using stratified 10-fold cross validation.

Results
Two ML models, an XGBoost model using CBC/DIFF/CPD features with boruta feature selection (BFS) , and a random forest model trained using CBC/DIFF features with BFS were selected for further validation after obtaining AUC scores of $$0.76 \pm 0.04$$

0.76
±
0.04

and $$0.75 \pm 0.04$$

0.75
±
0.04

respectively using stratified 10-fold cross validation. The XGBoost model obtained an AUC score of 0.76 on a internal validation set. The random forest model obtained AUC scores of 0.82 and 0.76 on internal and external validation datasets respectively.

Conclusions
We have demonstrated the utility of using an ML pipeline combined with CBC/DIFF, and CBC/DIFF/CPD feature spaces for BC outcome prediction. This builds on the growing body of research in the area of BC outcome prediction, and provides opportunity for further research.