bluuebunny/crossref_metadata_2025_split huggingface dataset:
A psycho-educational intervention programme for parents with SGA foetuses supported by an adaptive mHealth system: design, proof of concept and usability assessment
Authors: Balderas-Díaz Sara , Rodríguez-Fórtiz María José , Garrido José Luis , Bellido-González Mercedes , Guerrero-Contreras Gabriel 
Published: November 2022

Abstract
Background
Technology-based approaches during pregnancy can facilitate the self-reporting of emotional health issues and improve well-being. There is evidence to suggest that stress during pregnancy can affect the foetus and result in restricted growth and preterm birth. Although a number of mobile health (mHealth) approaches are designed to monitor pregnancy and provide information about a specific aspect, no proposal specifically addresses the interventions in parents at risk of having small-for-gestational-age (SGA) or premature babies. Very few studies, however, follow any design and usability guidelines which aim to ensure end-user satisfaction when using these systems.

Results
We have developed an interactive, adaptable mHealth system to support a psycho-educational intervention programme for parents with SGA foetuses. The relevant results include a metamodel to support the task of modelling current or new intervention programmes, an mHealth system model with runtime adaptation to changes in the programme, the design of a usable app (called VivEmbarazo) and an architectural design and prototype implementation. The developed mHealth system has also enabled us to conduct a proof of concept based on the use of the mHealth systems and this includes data analysis and assesses usability and acceptance.

Conclusions
The proof of concept confirms that parents are satisfied and that they are enthusiastic about the mHealth-supported intervention programme. It helps to technically validate the results obtained in the other stages relating to the development of the solution. The data analysis resulting from the proof of concept confirms that the stress experienced by parents who followed the mHealth-supported intervention programme was significantly lower than among those who did not follow it. This implies an improvement in the emotional health not only of the parents but also of their child. In fact, the babies of couples who followed the mHealth-supported programme weigh more than the babies of couples under traditional care. In terms of user acceptance and usability, the analysis confirms that mothers place greater value on the app design, usefulness and ease of use and are generally more satisfied than their partners. Although these results are promising in comparison with more traditional and other more recent technology-based approaches.
The impact of cardiovascular health and frailty on mortality for males and females across the life course
Authors: Quach Jack , Theou Olga , Godin Judith , Rockwood Kenneth , Kehler Dustin Scott 
Published: November 2022

Abstract
Background
The effect of frailty and poor cardiovascular health on mortality for males and females is not fully elucidated. We investigated whether the combined burden of frailty and poor cardiovascular health is associated with all-cause and cardiovascular disease (CVD) mortality by sex and age.

Methods
We analyzed data of 35,207 non-institutionalized US residents aged 20–85 years old (mean age [standard deviation]: 46.6 [16.7 years], 51.4% female, 70.8% White, 10.3% Black, 13.2% Hispanic) from the National Health and Nutrition Examination Survey (1999–2015). Cardiovascular health was measured with the American Heart Association’s Life’s Simple 7 score (LS7). A 33-item frailty index (FI) was constructed to exclude cardiovascular health deficits. We grouped the FI into 0.1 increments (non-frail: FI < 0.10, very mildly frail: 0.1 ≤ FI < 0.20, mildly frail: 0.20 ≤ FI < 0.30, and moderately/severely frail: FI ≥ 0.30) and LS7 into tertiles (T1[poor] = 0–7, T2[intermediate] = 8-9, T3[ideal] = 10–14). All-cause and CVD mortality data were analyzed up to 16 years. All regression models were stratified by sex.

Results
The average FI was 0.09 (SD 0.10); 29.6% were at least very mildly frail, and the average LS7 was 7.9 (2.3). Mortality from all-causes and CVD were 8.5% (4228/35,207) and 6.1% (2917/35,207), respectively. The median length of follow-up was 8.1 years. The combined burden of frailty and poor cardiovascular health on mortality risk varied according to age in males (FI*age interaction p = 0.01; LS7*age interaction p < 0.001) but not in females. In females, poor FI and LS7 combined to predict all-cause and CVD mortality in a dose-response manner. All-cause and CVD mortality risk was greater for older males (60 and 70 years old) who were at least mildly frail and had intermediate cardiovascular health or worse (hazard ratio [lower/higher confidence interval ranges] range: all-cause mortality = 2.02–5.30 [1.20–4.04, 3.15–6.94]; CVD-related mortality = 2.22–7.16 [1.03–4.46, 4.49–11.50]) but not for younger males (30, 40, and 50 years old).

Conclusions
The combined burden of frailty and LS7 on mortality is similar across all ages in females. In males, this burden is greater among older people. Adding frailty to assessments of overall cardiovascular health may identify more individuals at risk for mortality and better inform decisions to implement preventative or treatment approaches.
A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models
Authors: Vincenzi Elena , Fantazzini Alice , Basso Curzio , Barla Annalisa , Odone Francesca , Leo Ludovica , Mecozzi Laura , Mambrini Martina , Ferrini Erica , Sverzellati Nicola , Stellari Franco Fabio 
Published: November 2022

AbstractIdiopathic pulmonary fibrosis, the archetype of pulmonary fibrosis (PF), is a chronic lung disease of a poor prognosis, characterized by progressively worsening of lung function. Although histology is still the gold standard for PF assessment in preclinical practice, histological data typically involve less than 1% of total lung volume and are not amenable to longitudinal studies. A miniaturized version of computed tomography (µCT) has been introduced to radiologically examine lung in preclinical murine models of PF. The linear relationship between X-ray attenuation and tissue density allows lung densitometry on total lung volume. However, the huge density changes caused by PF usually require manual segmentation by trained operators, limiting µCT deployment in preclinical routine. Deep learning approaches have achieved state-of-the-art performance in medical image segmentation. In this work, we propose a fully automated deep learning approach to segment right and left lung on µCT imaging and subsequently derive lung densitometry. Our pipeline first employs a convolutional network (CNN) for pre-processing at low-resolution and then a 2.5D CNN for higher-resolution segmentation, combining computational advantage of 2D and ability to address 3D spatial coherence without compromising accuracy. Finally, lungs are divided into compartments based on air content assessed by density. We validated this pipeline on 72 mice with different grades of PF, achieving a Dice score of 0.967 on test set. Our tests demonstrate that this automated tool allows for rapid and comprehensive analysis of µCT scans of PF murine models, thus laying the ground for its wider exploitation in preclinical settings.
Integrated analysis to identify the AC005154.6/hsa-miR-29c-3p/CCNL2 axis as a novel prognostic biomarker associated with immune infiltration in prostate cancer
Authors: Li Qinyu , Chen Bingliang , Song Guoda , Zeng Kai , Chen Xin , Miao Jianping , Yuan Xianglin , Liu Jihong , Wang Zhihua , Liu Bo 
Published: November 2022

Abstract
Background
Prostate cancer (PCa) is currently the major malignancy in men. It is becoming increasingly clear that competitive endogenous RNA (ceRNA) regulation networks are important in a wide variety of cancers. Nevertheless, there is still much to learn about the biological functions of the ceRNA network in prostate cancer.

Methods
The ceRNA network was constructed using the "GDCRNATools" package. Based on survival analysis, we obtained AC005154.6/hsa-miR-29c-3p/CCNL2 for further analysis. The prognostic model based on this ceRNA network was constructed by univariate and multivariate Cox regression methods. Furthermore, functional enrichment analysis, mutation landscape analysis, immune infiltration analysis, drug sensitivity analysis, methylation analysis, pan-cancer analysis, and molecular experiments of CCNL2 were carried out to investigate the role of CCNL2 in tumorigenesis.

Results
We identified the AC005154.6/CCNL2 axis as a risk factor that can promote the progression of prostate cancer by bioinformatics analysis and molecular experiments. Immune infiltration analysis suggested that CCNL2 may act as a novel biomarker for treatment decisions. The methylation level of CCNL2 was significantly decreased in tumor samples, possibly contributing to the upregulation of CCNL2 in prostate cancer. Moreover, CCNL2 is differentially expressed in multiple cancers and is tightly correlated with immune infiltration.

Conclusion
The current study constructed a ceRNA network, AC005154.6/hsa-miR-29c-3p/CCNL2. Potentially, this biomarker can be used for early diagnosis and decision-making about prostate cancer treatment.
Combination of polythyleneimine regulating autophagy prodrug and Mdr1 siRNA for tumor multidrug resistance
Authors: Wang Changduo , Li Zhipeng , Xu Ping , Xu Lisa , Han Shangcong , Sun Yong 
Published: November 2022

AbstractMultidrug resistance (MDR) has been restricting the efficacy of chemotherapy, which mainly include pump resistance and non-pump resistance. In order to fight overall MDR, a novel targeted gene/drug co-deliver nano system is developed, which can suppress the drug efflux pumps and modulate autophagy to overcoming both pump and non-pump resistance. Here, small interfere RNA (siRNA) is incorporated into polymer-drug conjugates (PEI-PTX, PP) which are composed of polyethyleneimine (PEI) and paclitaxel (PTX) via covalent bonds, and hyaluronic acid (HA) is coated on the surface of PP/siRNA to achieve long blood cycle and CD44-targeted delivery. The RNA interference to mdr1 gene is combined with autophagy inhibition by PP, which efficiently facilitate apoptosis of Taxol-resistant lung cancer cells (A549/T). Further study indicates that PEI in PP may play a significant role to block the autophagosome–lysosome fusion process by means of alkalizing lysosomes. Both in vitro and in vivo studies confirm that the nanoassemblies can successfully deliver PTX and siRNA into tumor cells and significantly inhibited A549/T tumor growth. In summary, the polymeric nanoassemblies provide a potential strategy for combating both pump and non-pump resistance via the synergism of RNAi and autophagy modulation.
Integrated next-generation sequencing and comparative transcriptomic analysis of leaves provides novel insights into the ethylene pathway of Chrysanthemum morifolium in response to a Chinese isolate of chrysanthemum virus B
Authors: Zhong Xueting , Yang Lianlian , Li Jiapeng , Tang Zhaoyang , Wu Choufei , Zhang Liqin , Zhou Xueping , Wang Yaqin , Wang Zhanqi 
Published: November 2022

Abstract
Background
Chrysanthemum virus B (CVB), a key member of the genus Carlavirus, family Betaflexiviridae, causes severe viral diseases in chrysanthemum (Chrysanthemum morifolium) plants worldwide. However, information on the mechanisms underlying the response of chrysanthemum plants to CVB is scant.

Methods
Here, an integrated next-generation sequencing and comparative transcriptomic analysis of chrysanthemum leaves was conducted to explore the molecular response mechanisms of plants to a Chinese isolate of CVB (CVB-CN) at the molecular level.

Results
In total, 4934 significant differentially expressed genes (SDEGs) were identified to respond to CVB-CN, of which 4097 were upregulated and 837 were downregulated. Gene ontology and functional classification showed that the majority of upregulated SDEGs were categorized into gene cohorts involved in plant hormone signal transduction, phenylpropanoid and flavonoid biosynthesis, and ribosome metabolism. Enrichment analysis demonstrated that ethylene pathway-related genes were significantly upregulated following CVB-CN infection, indicating a strong promotion of ethylene biosynthesis and signaling. Furthermore, disruption of the ethylene pathway in Nicotiana benthamiana, a model plant, using virus-induced gene silencing technology rendered them more susceptible to cysteine-rich protein of CVB-CN induced hypersensitive response, suggesting a crucial role of this pathway in response to CVB-CN infection.

Conclusion
This study provides evidence that ethylene pathway has an essential role of plant in response to CVB and offers valuable insights into the defense mechanisms of chrysanthemum against Carlavirus.
Return to sport after conservative versus surgical treatment for pubalgia in athletes: a systematic review
Authors: Serafim Thiago Teixeira , Oliveira Eliton Stanley , Migliorini Filippo , Maffulli Nicola , Okubo Rodrigo 
Published: November 2022

AbstractBackgroundTo assess the time required to return to sport (RTS) after conservative versus surgical treatment in athletes for pubalgia.MethodsThe PRISMA guidelines were followed. Pubmed, SportDiscus and Web of Science were last accessed on September 2022. All the studies investigating the time to RTS after conservative versus surgical treatment in athletes for pubalgia.ResultsIn total, 33 studies were selected for full text assessment, and 10 studies were included in the qualitative analysis. Seven studies reported data on conservative management, two on surgical management and one compared both. A total of 468 subjects were included for analysis. 58.7% (275 of 468) were soccer players, 5.9% (28 of 468) runners, and 3.8% (18 of 468) hockey players. Two studies did not specify the type of sport. The quality of the studies detailing the results of conservative management was higher than surgical procedures.ConclusionThis review highlights that individuals undergoing surgery for pubalgia may return to sport earlier than those receiving conservative treatment. However, conservative management should be considered before surgical treatment is indicated.
Novel method for bronchial stump coverage for prevents postpneumonectomy bronchopleural fistula: pedicled thymopericardial fat flap
Authors: Ceylan Kenan Can , Batıhan Güntuğ , Kaya Şeyda Örs 
Published: November 2022

Abstract
Background
Bronchopleural fistula (BPF) is a serious complication with high mortality and morbidity that can be seen after lung resections. Although several methods have been described to prevent postoperative BPF it is still unclear which method is the best. In this study, we have used tymopericardial fat flap (TPFF) to cover the bronchial stump in patients after pneumonectomy and aim to show its feasibility and efficacy to prevent BPF.

Methods
Between January 2013 and June 2021, 187 patients with lung cancer underwent pneumonectomy at our institution. Among them, 53 patients underwent bronchial stump coverage with TPFF. In other 134 patients there wasn’t used any coverage method. Patient characteristics, preoperative status, surgical procedures, perioperative course, pathological findings, and long-term prognoses were evaluated retrospectively.

Results
Postoperative BPF was observed in 16 (%8.5) patients. It was observed that TPFF was applied in only 1 of the patients who developed BPF. A statistically significant difference was detected between TPFF-coverage with non-coverage groups in terms of postoperative BPF rates (p = 0.044). Other factors associated with the development of postoperative BPF in univariate analysis were right sided pneumonectomy, and re-operation.

Conclusion
Bronchial stump coverage with TPFF is a feasible and effective method to prevent postpneumonectomy BPF.
Dynamics and stationary distribution of a stochastic SIRS epidemic model with a general incidence and immunity
Authors: Chen Tao , Li Zhiming 
Published: November 2022

AbstractInfected individuals often obtain or lose immunity after recovery in medical studies. To solve the problem, this paper proposes a stochastic SIRS epidemic model with a general incidence rate and partial immunity. Through an appropriate Lyapunov function, we obtain the existence and uniqueness of a unique globally positive solution. The disease will be extinct under the threshold criterion. We analyze the asymptotic behavior around the disease-free equilibrium of a deterministic SIRS model. By using the Khasminskii method, we prove the existence of a unique stationary distribution. Further, solutions of the stochastic model fluctuate around endemic equilibrium under certain conditions. Some numerical examples illustrate the theoretical results.
Influence of public health and infection control interventions during the severe acute respiratory syndrome coronavirus 2 pandemic on the in-hospital epidemiology of pathogens: in hospital versus community circulating pathogens
Authors: Dapper Laura , Dick Aline , Nonnenmacher-Winter Claudia , Günther Frank 
Published: November 2022

Abstract
Background
The first detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Germany was reported in early February 2020. In addition, extensive control measures on the coronavirus disease 2019 (COVID-19) pandemic have been placed in Germany since March 2020. These include contact and travel restrictions, distance rules, mandatory wearing of face masks and respirators, cancellation of mass events, closures of day-care centers, schools, restaurants and shops, isolation measures, and intensified infection control measures in medical and long-term care facilities. Changes in demand or access to health care services and intensified control measures can lead to changes in transmission dynamics and imply effects on the overall occurrence of infectious diseases in hospitals.

Methods
To analyze the impact of infection control measures implemented in public on infectious diseases in hospitals, surveillance data from Marburg University Hospital were analyzed retrospectively. The analysis was conducted from January 2019 to June 2021, referred to hospital occupancy and mobility data in the county of Marburg-Biedenkopf, and correlated to control measures in hospitals and the general population.

Results
The COVID-19 pandemic and associated measures immediately impacted the occurrence of infectious diseases at the Marburg University Hospital. Significant changes were detected for virus-associated respiratory and gastrointestinal diseases. The massive drop in norovirus infections was significantly affected by the onset of the pandemic (P = 0.028). Similar effects were observed for rotavirus (up to − 89%), respiratory syncytial virus (up to − 98%), and adenovirus infections (up to − 90%). The decrease in gastrointestinal and respiratory virus detection rates was significantly affected by the decline in mobility (P < 0.05). Of note, since April 2020, there have been no detected influenza cases. Furthermore, Clostridioides difficile-related infections declined after late 2020 (− 44%). In contrast, no significant changes were detected in the prevalence of susceptible and drug-resistant bacterial pathogens. In particular, the detection rates of methicillin-resistant Staphylococcus aureus isolates or multidrug resistant (MDR) and extended drug resistant (XDR) bacteria remained constant, although the consumption of hand disinfectants and protective equipment increased.

Conclusions
The COVID-19 pandemic and associated public health measures had a significant impact on infectious diseases and the detection of pathogens at the Marburg University Hospital. Significant changes were observed for community transmissible infections, while no such effects on pathogens primarily associated with nosocomial transmission could be detected.
Placing human gene families into their evolutionary context
Authors: Dornburg Alex , Mallik Rittika , Wang Zheng , Bernal Moisés A. , Thompson Brian , Bruford Elspeth A. , Nebert Daniel W. , Vasiliou Vasilis , Yohe Laurel R. , Yoder Jeffrey A. , Townsend Jeffrey P. 
Published: November 2022

AbstractFollowing the draft sequence of the first human genome over 20 years ago, we have achieved unprecedented insights into the rules governing its evolution, often with direct translational relevance to specific diseases. However, staggering sequence complexity has also challenged the development of a more comprehensive understanding of human genome biology. In this context, interspecific genomic studies between humans and other animals have played a critical role in our efforts to decode human gene families. In this review, we focus on how the rapid surge of genome sequencing of both model and non-model organisms now provides a broader comparative framework poised to empower novel discoveries. We begin with a general overview of how comparative approaches are essential for understanding gene family evolution in the human genome, followed by a discussion of analyses of gene expression. We show how homology can provide insights into the genes and gene families associated with immune response, cancer biology, vision, chemosensation, and metabolism, by revealing similarity in processes among distant species. We then explain methodological tools that provide critical advances and show the limitations of common approaches. We conclude with a discussion of how these investigations position us to gain fundamental insights into the evolution of gene families among living organisms in general. We hope that our review catalyzes additional excitement and research on the emerging field of comparative genomics, while aiding the placement of the human genome into its existentially evolutionary context.