bluuebunny/crossref_metadata_2025_split huggingface dataset:
The research landscape of the quality of life or psychological impact on gynecological cancer patients: A bibliometric analysis
Authors: Zhao Jiayuan , Kong Yujia , Xiang Yang , Yang Junjun 
Published: February 2023

BackgroundGynecological cancer is one of the most common cancers in women. The quality of life (QoL) or psychological impact has emerged as an outcome indicator in many clinical trials of gynecological cancer and gained much concern in the clinical setting at the start of the 21st century. Our paper conducted a bibliometric analysis of QoL or psychological impact on gynecological cancer patients to show the status and hotspots.MethodsRelated publications from 2000 to 2022 were included by screening from the Web of Science Core Collection (WOSCC) on 26 June 2022. The bibliometrics was analyzed and visualized by bibliometrix R-package, VOSviewer, and CiteSpace V.ResultsA total of 6,479 publications were included in our study. The publications in this field were increased annually. The United States (n = 2,075) was the country with the most published papers. Sydney University (n = 167) was the most productive affiliation. Gynecologic Oncology and Journal of Clinical Oncology were the most relevant and most cited sources, respectively. The article written by Bray F et al. has the highest citation. Kim J and Aaronson NK ranked first in most productive author and most co-cited author, respectively. The keywords “mortality”, “fertility preservation”, and “palliative care” have bursts till 2022, which represented the frontiers of this field.ConclusionOur study provides an overall analysis of QoL or psychological impact on gynecological cancer patients, which can serve as a reference in future research.
Neurocognitive effects of binge drinking on verbal episodic memory. An ERP study in university students
Authors: Rodríguez Holguín Socorro , Folgueira-Ares Rocío , Crego Alberto , López-Caneda Eduardo , Corral Montserrat , Cadaveira Fernando , Doallo Sonia 
Published: February 2023

Background: Verbal memory may be affected by engagement in alcohol binge drinking during youth, according to the findings of neuropsychological studies. However, little is known about the dynamics of the neural activity underlying this cognitive process in young, heavy drinkers.Aims: To investigate brain event-related potentials associated with cued recall from episodic memory in binge drinkers and controls.Methods: Seventy first-year university students were classified as binge drinkers (32: 17 female) or controls (38: 18 female). The participants completed a verbal paired associates learning task during electroencephalogram (EEG) recording. ERPs elicited by old and new word pairs were extracted from the cued-recall phase of the task by using Principal Component Analysis. Subjects also performed a standardized neuropsychological verbal learning test.Results: Two of the three event-related potentials components indicating old/new memory effects provided evidence for anomalies associated with binge drinking. The old/new effects were absent in the binge drinkers in the two subsequent posterior components, identified with the late parietal component and the late posterior negativity The late frontal component revealed similar old/new effects in both groups. Binge drinkers showed similar behavioural performance to controls in the verbal paired associates task, but performed poorly in the more demanding short-term cued-recall trial of a neuropsychological standardized test.Conclusion: Event-related potentials elicited during a verbal cued-recall task revealed differences in brain functioning between young binge drinkers and controls that may underlie emergent deficits in episodic memory linked to alcohol abuse. The brain activity of binge drinkers suggests alterations in the hippocampal - posterior parietal cortex circuitry subserving recognition and recollection of the cue context and generation of the solution, in relation to verbal information shallowly memorised.
Translation and validation of the medication management patient satisfaction survey: The Lebanese Arabic version
Authors: Alaa Eddine Nada , Schreiber James B. , Amin Mohamed Ezzat Khamis 
Published: February 2023

Background: No Arabic translation exists for the medication management patient satisfaction survey (MMPSS), a 10-item psychometrically valid patient satisfaction survey tool developed to assess patient satisfaction for comprehensive medication management. The objective of this study is to translate the medication management patient satisfaction survey into Lebanese Arabic while culturally adapting and assessing the psychometric properties of the translated survey in the outpatient setting.Methods: Guidelines for translation, adaptation, and validation of instruments for cross-cultural healthcare research were followed. The process included forward translation, expert panel review, back-translation, pretesting, and cognitive interviewing. Participants were approached after picking up their medications from the pharmacy at a primary care facility. The medication management patient satisfaction survey was administered verbally by two trained data collectors. Instrument psychometric analyses included testing both for reliability using Cronbach’s alpha (α) and McDonald’s omega (ω) and for construct validity using exploratory factor analysis (EFA). Pearson correlations between items were calculated.Results: During the translation process, the term “clinical pharmacist” was changed to “pharmacist today” for improved understanding. Four items were adapted through minor linguistic modifications. Data were collected from 143 patients. The mean age of participants was 72 years. Participants were mostly females (69%) and had an average of four comorbidities and eight daily medications. Findings from Cronbach’s α and McDonald’s ω indicated that the internal consistency among items from one to nine was very strong (α = 0.90; ω = 0.90). Exploratory factor analysis indicated that all items are strongly influenced by one factor, except for item six, “My clinical pharmacist is working as a team member with my other healthcare providers” which was the least influenced (loading = 0.44) with the highest uniqueness (0.81). The latent factor captured over 50% of the variance originally observed between variables. Items four and five “My clinical pharmacist helped me find easier ways to take my medicines” and “My clinical pharmacist helped me understand the best ways to take my medicines”, had the strongest correlation (0.77), while the weakest correlation was seen between item six “My clinical pharmacist is working as a team member with my other healthcare providers” and other items.Conclusion: The Lebanese Arabic version of the medication management patient satisfaction survey was produced as a brief tool to serve as a valid and reliable instrument for measuring patient satisfaction with comprehensive medication management services.
Unstable SpO2 in preterm infants: The key role of reduced ventilation to perfusion ratio
Authors: Stoecklin Benjamin , Choi Y. Jane , Dassios Theodore , Jones J. Gareth , Lockwood Geoffrey G. , Pillow J. Jane 
Published: February 2023

Introduction: Instability of peripheral oxyhemoglobin saturation (SpO2) in preterm infants is correlated with late disability and is poorly understood. We hypothesised that a reduced ventilation to perfusion ratio (VA/Q) is the key predisposing factor for SpO2 instability.Methods: We first used a mathematical model to compare the effects of reduced VA/Q or shunt on SaO2 stability (SaO2 and SpO2 are used for model and clinical studies respectively). Stability was inferred from the slope of the SaO2 vs. inspired oxygen pressure (PIO2) curve as it intersects the 21 kPa PIO2 line (breathing air). Then, in a tertiary neonatal intensive care unit, paired hourly readings of SpO2 and PIO2 were recorded over a 24 h period in week old extremely preterm infants. We noted SpO2 variability and used an algorithm to derive VA/Q and shunt from the paired SpO2 and PIO2 measurements.Results: Our model predicted that when VA/Q &lt; 0.4, a 1% change in PIO2 results in &gt;8% fluctuation in SaO2 at 21 kPa PIO2. In contrast, when a 20% intrapulmonary shunt was included in the model, a 1% change in PIO2 results in &lt;1% fluctuation in the SaO2. Moreover, further reducing the VA/Q from 0.4 to 0.3 at 21 kPa PIO2 resulted in a 24% fall in SaO2. All 31 preterm infants [mean gestation (±standard deviation) 26.2 (±1) week] had VA/Q &lt; 0.74 (normal &gt;0.85) but only two infants had increased shunt at 1.1 (±0.5) weeks’ postnatal age. Median (IQR) SpO2 fluctuation was 8 (7)%. The greatest SpO2 fluctuations were seen in infants with VA/Q &lt; 0.52 (n = 10): SpO2 fluctuations ranged from 11%–17% at a constant PIO2 when VA/Q &lt; 0.52. Two infants had reduced VA/Q and increased shunt (21% and 27%) which resolved into low VA/Q after 3–6 h.Discussion: Routine monitoring of PIO2 and SpO2 can be used to derive a hitherto elusive measure of VA/Q. Predisposition to SpO2 instability results from reduced VA/Q rather than increased intrapulmonary shunt in preterm infants with cardiorespiratory disease. SpO2 instability can be prevented by a small increase in PIO2.
Global trends and research frontiers on heat stress in poultry from 2000 to 2021: A bibliometric analysis
Authors: Uyanga Victoria Anthony , Musa Taha H. , Oke Oyegunle Emmanuel , Zhao Jingpeng , Wang Xiaojuan , Jiao Hongchao , Onagbesan Okanlawon M. , Lin Hai 
Published: February 2023

Background: Heat stress remains a major environmental factor affecting poultry production. With growing concerns surrounding climate change and its antecedent of global warming, research on heat stress in poultry has gradually gained increased attention. Therefore, this study aimed to examine the current status, identify the research frontiers, and highlight the research trends on heat stress in poultry research using bibliometric analysis.Methods: The literature search was performed on the Web of Science Core Collection database for documents published from 2000 to 2021. The documents retrieved were analyzed for their publication counts, countries, institutions, keywords, sources, funding, and citation records using the bibliometric app on R software. Network analysis for co-authorship, co-occurrence, citation, co-citation, and bibliographic coupling was visualized using the VOSviewer software.Results: A total of 468 publications were retrieved, and over the past two decades, there was a gradual increase in the annual number of publications (average growth rate: 4.56%). China had the highest contribution with respect to the number of publications, top contributing authors, collaborations, funding agencies, and institutions. Nanjing Agricultural University, China was the most prolific institution. Kazim Sahin from Firat University, Turkey contributed the highest number of publications and citations to heat stress in poultry research, and Poultry Science was the most productive and the most cited journal. The top 10 globally cited documents mainly focused on the effects of heat stress, alleviation of heat stress, and the association between heat stress and oxidative stress in poultry. All keywords were grouped into six clusters which included studies on “growth performance”, “intestinal morphology”, “heat stress”, “immune response”, “meat quality”, and “oxidative stress” as current research hotspots. In addition, topics such as; “antioxidants”, “microflora”, “intestinal barrier”, “rna-seq”, “animal welfare”, “gene expression”, “probiotics”, “feed restriction”, and “inflammatory pathways” were identified for future research attention.Conclusion: This bibliometric study provides a detailed and comprehensive analysis of the global research trends on heat stress in poultry over the last two decades, and it is expected to serve as a useful reference for potential research that will help address the impacts of heat stress on poultry production globally.
Oxygenic photosynthetic responses of cyanobacteria exposed under an M-dwarf starlight simulator: Implications for exoplanet’s habitability
Authors: Battistuzzi Mariano , Cocola Lorenzo , Claudi Riccardo , Pozzer Anna Caterina , Segalla Anna , Simionato Diana , Morosinotto Tomas , Poletto Luca , La Rocca Nicoletta 
Published: February 2023

IntroductionThe search for life on distant exoplanets is expected to rely on atmospheric biosignatures detection, such as oxygen of biological origin. However, it is not demonstrated how much oxygenic photosynthesis, which on Earth depends on visible light, could work under spectral conditions simulating exoplanets orbiting the Habitable Zone of M-dwarf stars, which have low light emission in the visible and high light emission in the far-red/near-infrared. By utilizing cyanobacteria, the first organisms to evolve oxygenic photosynthesis on our planet, and a starlight simulator capable of accurately reproducing the emission spectrum of an M-dwarf in the range 350–900 nm, we could answer this question.MethodsWe performed experiments with the cyanobacterium Chlorogloeopsis fritschii PCC6912, capable of Far-Red Light Photoacclimation (FaRLiP), which allows the strain to harvest far-red in addition to visible light for photosynthesis, and Synechocystis sp. PCC6803, a species unable to perform this photoacclimation, comparing their responses when exposed to three simulated light spectra: M-dwarf, solar and far-red. We analysed growth and photosynthetic acclimation features in terms of pigment composition and photosystems organization. Finally, we determined the oxygen production of the strains directly exposed to the different spectra.ResultsBoth cyanobacteria were shown to grow and photosynthesize similarly under M-dwarf and solar light conditions: Synechocystis sp. by utilizing the few photons in the visible, C. fritschii by harvesting both visible and far-red light, activating the FaRLiP response.DiscussionOur results experimentally show that an M-dwarf light spectrum could support a biological oxygen production similar to that in solar light at the tested light intensities, suggesting the possibility to discover such atmospheric biosignatures on those exoplanets if other boundary conditions are met.
Trends in mortality and causes of death among Chinese adolescents aged 10–19 years from 1990 to 2019
Authors: Zhu Jiaxin , Li Yilu , Zhang Chengcheng , He Jun , Niu Lu 
Published: February 2023

ObjectivePromoting adolescent health is essential to achieving the goals of the Healthy China 2030 (HC 2030) initiative. As socioeconomic conditions improve and medical practices and disease patterns evolve, adolescent mortality rates and causes of death vary considerably. This study provides up-to-date data on adolescent mortality and causes of death in China, highlighting key areas of focus for investment in adolescent health.MethodsData regarding mortality and causes of death in Chinese adolescents aged 10–19 years were extracted from the Global Burden of Disease study from 1990 to 2019. The data variables were examined according to year, sex, and age. The autoregressive integrated moving average model was used to predict non-communicable disease (NCD) mortality rates and rank changes in the leading causes of death until 2030.ResultsThe all-cause mortality rate (per 100,000 population) of Chinese adolescents aged 10–19 years steadily declined from 1990 (72.6/100,000) to 2019 (28.8). Male adolescents had a higher mortality (37.5/100,000 vs. 18.6 in 2019) and a slower decline rate (percent: −58.7 vs. −65.0) than female adolescents. Regarding age, compared with those aged 10–14 years, the mortality rate of adolescents aged 15–19 years had a higher mortality (35.9/100,000 vs. 21.2 in 2019) and a slower decrease rate (percent: −57.6 vs. −63.2). From 1990 to 2019, the rates of communicable, maternal, and nutritional diseases declined the most (percent: −80.0), while injury and NCDs mortality rates were relatively slow (percent: −50.0 and −60.0). In 2019, the five leading causes of death were road injuries (6.1/100,000), drowning (4.5), self-harm (1.9), leukemia (1.9), and congenital birth defects (1.3). Furthermore, NCDs' mortality rate decreased by −46.6% and −45.4% between 2015–2030 and 2016–2030, respectively.ConclusionA notable decline was observed in all-cause mortality rates among Chinese adolescents aged 10–19 years. In addition, the mortality rates of NCDs are projected to meet the target from the Global Strategy for Women's, Children's, and Adolescents' Health (2016–2030) and HC2030 reduction indicators by 2030. However, it should be noted that injury is the leading cause of death, with sexual and age disparities remaining consistent.
Widespread clinical implementation of the teen online problem-solving program: Progress, barriers, and lessons learned
Authors: Wade Shari L. , Walsh Kathleen , Slomine Beth S. , Davis Kimberly C. , Heard Cherish , Maggard Brianna , Sutcliffe Melissa , Van Tubbergen Marie , McNally Kelly , Deidrick Kathleen , Kirkwood Michael W. , Lantagne Ann , Ashman Sharon , Scratch Shannon , Chesley Gayle , Johnson-Kerner Bethany , Johnson Abigail , Cirincione Lindsay , Austin Cynthia 
Published: February 2023

ObjectiveWe describe the clinical implementation in North America of Teen Online Problem Solving (TOPS), a 10+ session, evidence-based telehealth intervention providing training in problem-solving, emotion regulation, and communication skills.MethodsTwelve children's hospitals and three rehabilitation hospitals participated, agreeing to train a minimum of five therapists to deliver the program and to enroll two patients with traumatic brain injuries (TBI) per month. Barriers to reach and adoption were addressed during monthly calls, resulting in expansion of the program to other neurological conditions and extending training to speech therapists.ResultsOver 26 months, 381 patients were enrolled (199 TBI, 182 other brain conditions), and 101 completed the program. A total of 307 therapists were trained, and 58 went on to deliver the program. Institutional, provider, and patient barriers and strategies to address them are discussed.ConclusionsThe TOPS implementation process highlights the challenges of implementing complex pediatric neurorehabilitation programs while underscoring potential avenues for improving reach and adoption.
Machine learning in the prediction of cardiac surgery associated acute kidney injury with early postoperative biomarkers
Authors: Fan Rui , Qin Wei , Zhang Hao , Guan Lichun , Wang Wuwei , Li Jian , Chen Wen , Huang Fuhua , Zhang Hang , Chen Xin 
Published: February 2023

PurposeTo establish novel prediction models for predicting acute kidney injury (AKI) after cardiac surgery based on early postoperative biomarkers.Patients and methodsThis study enrolled patients who underwent cardiac surgery in a Chinese tertiary cardiac center and consisted of a discovery cohort (n = 452, from November 2018 to June 2019) and a validation cohort (n = 326, from December 2019 to May 2020). 43 biomarkers were screened using the least absolute shrinkage and selection operator and logistic regression to construct a nomogram model. Three tree-based machine learning models were also established: eXtreme Gradient Boosting (XGBoost), random forest (RF) and deep forest (DF). Model performance was accessed using area under the receiver operating characteristic curve (AUC). AKI was defined according to the Kidney Disease Improving Global Outcomes criteria.ResultsFive biomarkers were identified as independent predictors of AKI and were included in the nomogram: soluble ST2 (sST2), N terminal pro-brain natriuretic peptide (NT-proBNP), heart-type fatty acid binding protein (H-FABP), lactic dehydrogenase (LDH), and uric acid (UA). In the validation cohort, the nomogram achieved good discrimination, with AUC of 0.834. The machine learning models also exhibited adequate discrimination, with AUC of 0.856, 0.850, and 0.836 for DF, RF, and XGBoost, respectively. Both nomogram and machine learning models had well calibrated. The AUC of sST2, NT-proBNP, H-FABP, LDH, and UA to discriminate AKI were 0.670, 0.713, 0.725, 0.704, and 0.749, respectively. In addition, all of these biomarkers were significantly correlated with AKI after adjusting clinical confounders (odds ratio and 95% confidence interval of the third vs. the first tertile: sST2, 3.55 [2.34–5.49], NT-proBNP, 5.50 [3.54–8.71], H-FABP, 6.64 [4.11–11.06], LDH, 7.47 [4.54–12.64], and UA, 8.93 [5.46–15.06]).ConclusionOur study provides a series of novel predictive models and five biomarkers for enhancing the risk stratification of AKI after cardiac surgery.
Stability Analysis of Unmixing-Based Spatiotemporal Fusion Model: A Case of Land Surface Temperature Product Downscaling
Authors: Li Min , Guo Shanxin , Chen Jinsong , Chang Yuguang , Sun Luyi , Zhao Longlong , Li Xiaoli , Yao Hongming 
Published: February 2023

The unmixing-based spatiotemporal fusion model is one of the effective ways to solve limitations in temporal and spatial resolution tradeoffs in a single satellite sensor. By using fusion data from different satellite platforms, high resolution in both temporal and spatial domains can be produced. However, due to the ill-posed characteristic of the unmixing function, the model performance may vary due to the different model setups. The key factors affecting the model stability most and how to set up the unmixing strategy for data downscaling remain unknown. In this study, we use the multisource land surface temperature as the case and focus on the three major factors to analyze the stability of the unmixing-based fusion model: (1) the definition of the homogeneous change regions (HCRs), (2) the unmixing levels, and (3) the number of HCRs. The spatiotemporal data fusion model U-STFM was used as the baseline model. The results show: (1) The clustering-based algorithm is more suitable for detecting HCRs for unmixing. Compared with the multi-resolution segmentation algorithm and k-means algorithm, the ISODATA clustering algorithm can more accurately describe LST’s temporal and spatial changes on HCRs. (2) For the U-STFM model, applying the unmixing processing at the change ratio level can significantly reduce the additive and multiplicative noise of the prediction. (3) There is a tradeoff effect between the number of HCRs and the solvability of the linear unmixing function. The larger the number of HCRs (less than the available MODIS pixels), the more stable the model is. (4) For the fusion of the daily 30 m scale LST product, compared with STARFM and ESTARFM, the modified U-STFM (iso_USTFM) achieved higher prediction accuracy and a lower error (R 2: 0.87 and RMSE:1.09 k). With the findings of this study, daily fine-scale LST products can be predicted based on the unmixing-based spatial–temporal model with lower uncertainty and stable prediction.