bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between Surgeon-Patient Race and Gender Concordance and Patient-reported Outcomes Following Breast Cancer Surgery
Authors: Hassan Abbas M , Ketheeswaran Suvethavarshini , Adesoye Taiwo , Shah Shivani A , Cox Solange E , Kapur Sahil K , Checka Cristina M , Offodile Anaeze 
Published: September 2022

Abstract
Purpose: Surgeon and patient-related factors have been shown to influence patient experiences, quality of life (QoL), and surgical outcomes. We examined the association between surgeon-patient race- and gender-concordance with QoL after breast reconstruction.
Methods: We conducted a retrospective cross-sectional analysis of patients who underwent lumpectomy or mastectomy followed by breast reconstruction over a 3-year period. We created the following categories with respect to the race and gender of a patient-surgeon triad: no-, intermediate-, and perfect-concordance. Multivariable regression was used to correlate post-operative global (SF-12) and condition-specific (BREAST-Q) QoL performance with patient-level covariates, gender- and race-concordance.
Results: We identified 375 patients with a mean (±SD) age of 57.6±11.9 years, median (IQR) body mass index of 27.5 (24.0, 32.0), and median morbidity burden of 3 (2, 4). The majority of encounters were of intermediate concordance for gender (70%) and race (52%). Compared with gender discordant triads, intermediate gender concordance was associated with higher SF-Mental scores (b, 2.60; 95% CI, 0.21 to 4.99, p=0.003). Perfect race concordance (35% of encounters) was associated with significantly higher adjusted SF-Physical scores (b, 2.14; 95% CI, 0.50 to 4.22, p=0.045) than the race-discordant group. There were no significant associations observed between race- or gender-concordance and BREAST-Q performance.
Conclusions: Race concordant relationships following breast cancer surgery were more likely to have improved global QoL. Perfect gender concordance was not associated with variation in QoL outcomes. Policy-level interventions are needed to facilitate personalized care and optimize breast cancer surgery outcomes.
ADAR1 has an oncogenic function and can be a prognostic factor in cervical cancer
Authors: Nakamura Keiichiro , Shigeyasu Kunitoshi , Okamoto Kazuhiro , Matsuoka Hirofumi , Masuyama Hisashi 
Published: September 2022

Abstract
Adenosine deaminase acting on RNA 1 (ADAR1), a recently described epigenetic modification, is believed to play a critical oncogenic role in human cancers. However, its functional role and clinical significance in cervical cancer (CC) remain unclear. ADAR1 knockdown was performed to investigate its oncogenic functions in SiHa (HPV16), HeLa (HPV18), and Yumoto (non-HPV) CC cell lines. Cytoplasmic and nuclear ADAR1 expression were examined to clarify their correlation with clinicopathological parameters and prognosis in patients with CC. This resulted in increased apoptosis and necroptosis in HPV16 type SiHa, HPV18 type HeLa, and non-HPV-type Yumoto in CC cell lines. Progression-free survival (PFS) rates of patients exhibiting high cytoplasmic and nuclear ADAR1 expression were poorer than those in the other groups (p=0.016). Multivariate analysis indicated that the combination of higher cytoplasmic and nuclear ADAR1 expression was an independent predictor of prognosis in patients with CC (P = 0.017). ADAR1 could be a potential therapeutic target in HPV-positive or -negative CC cell lines. The combination of cytoplasmic and nuclear ADAR1 provides a better prognostic factor marker in CC.
Accretion disks, quasars and cosmology:meandering towards understanding.
Authors: Czerny Bozena , Cao Shulei , Jaiswal Vikram Kumar , Karas Vladimír , Khadka Narayan , Martínez-Aldama Mary Loli , Naddaf Mohammad Hassan , Panda Swayamtrupta , Nuñez Francisco Pozo , Prince Raj , Ratra Bharat , Sniegowska Marzena , Yu Zhefu , Zajaček Michal 
Published: September 2022

Abstract
As Setti & Woltjer noted back in 1973, quasars could be used to construct the Hubble diagram but the actualapplication was not that straightforward. It took years to implement the idea successfully. Most of the ways to use quasars for cosmology now require an advanced understanding of their structure, step by step. We briefly review this progress, with unavoidable personal bias, and concentrate on bright unobscured sources. We will mention the problem of the gas flow character close to the innermost stable circular orbit close to the black hole, discussed 50 years ago, which later led to the development of the slim disk scenario, but was recently revived in the context of Magnetically Arrested Disks (MAD) and Standard and Normal Evolution (SANE) disk models. We also discuss the hot/warm corona issue, which is still under discussion and complicates the analysis of the X-ray reflection. We present the scenario of the formation of the low ionization part of the Broad Line Region as a mostly failed wind powered by radiation pressure acting on dust (FRADO - Failed Radiatively Driven Dusty Outflow model). Next, we discuss the cosmological constraints that are currently achievable with quasars, mostly concentrating on light echo methods (continuum time delays and spectral line time delays with respect to the continuum) which are (or should be) incorporating the progress mentioned above. Finally, we briefly mention future prospects in this direction.
Revised calculation of the coefficient of parentage in plant breeding
Authors: Hernandez-Suarez Carlos , Montesinos-López Osval 
Published: September 2022

Abstract
Background: The Coefficient of Parentage (COP) between two individuals is the expected inbreeding of their offspring. Originally exploited by animal breeders, is now a routine calculation among plant breeders as part of crop improvement programs.
Results: To calculate the COP between two individuals, one selects an allele at random from the same loci of each individual and calculate the probability that they are identical by descent. Nevertheless, to calculate the COP between two strains, we first need to select an individual at random from each strain to perform the calculation. The sampling process adds some independence that simplifies the calculation in the case of strains. We use this fact to provide a simple methodology to calculate the correct coefficient of parentage between strains.
Conclusions: The COP between strains requires a different calculation than the used to calculate the COP between individuals. Failure to do so may result in an overestimation of the amount of inbreeding.
Attributing extreme precipitation characteristics in South China Pearl River Delta region to anthropogenic influences based on pseudo global warming
Authors: Zhao Rui , Tam Chi-Yung Francis , Lee Sai-Ming , Chen Junwen , Gao Peng 
Published: September 2022

Abstract
In the context of the human-induced warming climate, the atmosphere is expected to hold a greater amount of water vapor, leading to heavier precipitation on a global scale. However, the extent to which recent changes in extreme rainfall can be attributed to human influences varies at the regional scale. Here we conduct attribution analyses on 40 extreme rainfall events that occurred in different seasons during 1998-2018 over the Pearl River Delta (PRD), by using the Weather Research and Forecasting (WRF) model and applying the pseudo global warming (PGW) method. The model was integrated with the factual and counterfactual conditions separately, with the latter derived from differences between the Coupled Model Intercomparison Project Phase 5 (CMIP5) historical and historical-natural runs. By comparing parallel experiments, PRD near-surface temperature has been raised respectively by 0.9-1.1 K in the May-to-September (MJJAS) and 0.6-0.8 K in non-MJJAS seasons. Accordingly, extreme daily rainfall (> 95th percentile) increased by 8%-9.5% (~Clausius-Clapeyron, or CC scaling) in MJJAS and 12.4% at most (~2 CC rate) in non-MJJAS season. For the same extreme thresholds, the probability of occurrence increased by 10%-30% during MJJAS (20%-40% in non-MJJAS season). While moisture-related thermodynamic effects play a similar role in modulating rainfall, the dynamic effects (due to circulation changes) act differently in different seasons. Changes in MJJAS extremes are related to stronger low-level southerly winds, while non-MJJAS rainfall is exacerbated by strengthened low-level wind convergence and updrafts. Moisture budget analysis suggests that thermodynamic effects associated with the increased moisture amount account for the mean rainfall increase, whereas dynamic effects related to wind circulation changes are responsible for extreme precipitation, regardless of seasons.
One-pot Multicomponent Green Chemistry Approach: Sodium Fluoride-Catalysed Highly Efficient Microwave Irradiation-Assisted Synthesis of Substituted Chromene Derivatives in Aqueous Medium
Authors: Fabitha K , Arya CG , Chandrakanth Munugala , Janardhan Banothu 
Published: September 2022

Abstract
Abstract
2-Amino-4H-benzo[h]chromene-3-carbonitrile and 2-amino-5-oxo-4H,5H-pyrano[3,2-c]chromene-3-carbonitrile are two important pharmacophores with extensive applications in medicinal chemistry. The multicomponent Knoevenagel-Michael reaction is one of the most efficient strategies to construct these two scaffolds. Previous efforts have been made in converting the traditional organic solvents to eco-friendly solvents including H2O generally in the presence of complex catalysts. Here we present our work of using sodium fluoride (NaF) as the catalyst to synthesize a wide scope of the two types of substrates starting from α- or β-naphthol or 4-hydroxycoumarin. Using 12 mol% NaF under the microwave irradiation condition, the reactions were completed within 15–25 min with all the yields exceeding 85%. The reaction products were purified simply by washing with H2O and can be further purified by crystallization with MeOH. The analysis of green chemistry-related parameters suggested that the current method was highly environmentally benign, highlighting the potential of this method in the use of drug discovery and development.
Clinical efficacy and safety of adjuvant EGFR-TKIs for resected stage IB lung adenocarcinoma: A real-world study based on propensity score matching
Authors: Shen Leilei , Guo Juntang , Zhang Weidong , Zhang Lianbin , Liu Xi , Wang Tao , Zhang Tao , Liang Chaoyang , liu yang 
Published: September 2022

Abstract
Background
Adjuvant therapy for stage IB non-small cell lung cancer (NSCLC) remains debatable. In this real-world study, we evaluate the efficacy and safety of adjuvant epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) for resected stage IB lung adenocaicinoma.
Methods
This real-world study recruited 249 patients diagnosed as stage IB after surgical resection from January 2013 to September 2021. Sixty-six (26.5%) patients received adjuvant targeted therapy (TKIs group) and 183 (73.5%) patients were enrolled to clinical observation (CO) group. Propensity score matching was applied to minimize the effects of observed confounders between the two groups, and 59 pairs of patients were matched. The primary endpoint was disease-free survival (DFS).
Results
Among the adjuvant TKIs group, 38 (64.4%) patients chose to receive icotinib, 27.1% (16/59) of patients took gefitinib, and Osimertinib was 5 patients’(8.5%) option. Median follow-up time was 30.8 months (range: 7–107 months). Two (3.4%) patients in the TKIs group and 10 (16.9%) patients in the CO group had disease relapse. The 3-year DFS rates were 98.3% in the TKIs group and 83.0% in the CO group (HR: 0.10, 95%CI 0.01–0.78; P = 0.008). DFS differences could be found in the entire cohort (P = 0.005) and matched cohort (P = 0.024) between the two groups. The multivariate analysis showed that adjuvant EGFR-TKIs was an independent factor for DFS (HR, 0.211; 95%CI, 0.045–0.979; P = 0.047), together with poor cell differentiation (HR, 5.256; 95%CI, 1.648–16.769; P = 0.005) and spread through air spaces (HR, 5.612; 95%CI, 1.137–27.700; P = 0.034). No patients discontinued the EGFR-TKIs due to the low occurrence rate of treatment-related serious adverse events.
Conclusion
Adjuvant EGFR-TKIs could significantly improve DFS among patients with stage IB lung adenocarcinoma than clinical observation, with a safe and tolerable profile.
Retrospectively registered study:
The Chinese Clinical Trial Registry (www.chictr.org.cn) indentifier was ChiCTR2200060931.
Radiomics Based of Deep Medullary Veins on Susceptibility-Weighted Imaging in Infants: Predicting the Severity of Brain Injury of Neonates with Perinatal Asphyxia
Authors: zhuang xiamei , Lin Huashan , Li Junwei , Yin Yan , Dong Xiao , Jin Ke 
Published: September 2022

Abstract
ObjectiveThis study aimed to apply radiomics analysis of the change of deep medullary veins (DMV) on susceptibility-weighted imaging (SWI), and to distinguish mild hypoxic-ischemic encephalopathy (HIE) from moderate-to-severe HIE in neonates.
Methods A total of 190 neonates with HIE (24 mild HIE and 166 moderate-to-severe HIE) were included in this study. All of them were born at 37 gestational weeks or later. The DMVs were manually included in the regions of interests (ROI). For the purpose of identifying optimal radiomic features and to construct Rad-scores, 1316 features were extracted. LASSO regression was used to identify the optimal radiomic features. Using the Red-score and the clinical independent factor, a nomogram was constructed. In order to evaluate the performance of the different models, receiver operating characteristic (ROC) curve analysis was applied. Decision curve analysis (DCA) was implemented to evaluate the clinical utility.
Results A total of 15 potential predictors were selected and contributed to Red-score construction. Compared with the radiomics model, the nomogram combined model incorporating Red-score and urea nitrogen did not better distinguish between the mild HIE and moderate-to-severe HIE group. For the training cohort, the AUC of the radiomic model, and the combined nomogram model were 0.84, 0.84. For the validation cohort, the AUC of the radiomic model, and the combined nomogram model were 0.80, 0.79. The addition of clinical characteristics to the nomogram failed to distinguish mild HIE from moderate-to-severe HIE group.
Conclusion We developed a radiomics model and combined nomogram model as an indicator to distinguish mild HIE from moderate-to-severe HIE group.
The Detection of Mental Health Conditions by Incorporating External Knowledge
Authors: Lin Yun-Sheng , Chen Arbee L.P. 
Published: September 2022

Abstract
Mental health conditions have become a growing problem; it increases the likelihood of premature death for patients, and imposes a high economic burden on the world. However, some studies have shown that if patients are detected and treated early, the social impact and economic costs of mental illness can be reduced. With the popularity of social media, people are sharing their feelings on it, which allows data from social media to be used to study mental health conditions. However, past research had been limited to the optimization of the model or using different types of data available on social media, resulting in models that only rely on data to make decisions. Moreover, people judge things not only by the data collected, but also by background knowledge. Therefore, we considered the diagnostic process of doctors and combined the knowledge of psychological screening tools and diagnostic criteria into the model. In addition, we also tested the effect of combining general knowledge. We retrieve the top m most relevant knowledge segments for each user's post, and then put both into the prediction model. Experimental results show that our method outperforms previous studies, and the F1-score is increased more than 10% in some situations. Moreover, because the knowledge segments are automatically retrieved, our method does not require additional manual labeling, and the knowledge set can be freely adjusted. These show that our method can help detect mental health conditions and can be continuously optimized in practice.
Design, Implementation, and Evaluation of the Computer-aided Clinical Decision Support System based on Learning-to-Rank: Collaboration between physicians and machine learning in the differential diagnosis process
Authors: Miyachi Yasuhiko , Ishii Osamu , Torigoe Keijiro 
Published: September 2022

Abstract
OBJECTIVES
We are developing the Clinical Decision Support System (CDSS) based on Learning-to-Rank (LTR). The main objectives are 1) Supporting differential diagnoses by internists and general practitioners and 2) Preventing diagnostic errors by physicians. The main features are that "A physician inputs a patient's symptoms, findings, and test results to the system, and the system outputs a ranking list of possible diseases."
METHOD
The software libraries for machine learning and artificial intelligence are TensorFlow and TensorFlow Ranking. The prediction algorithm is LTR with a listwise approach. The ranking metric is NDCG. The loss functions are Approximate NDCG (A-NDCG) and Gumbel Approximate NDCG (G-A-NDCG). We evaluated Machine Learning (ML) performance and Differential Diagnosis (DDx) performance with actual cases.
RESULTS
ML performance of our system was much higher than that of the conventional system. ML performance using G-A-NDCG was slightly higher than that of A-NDCG. DDx performance of our system was much higher than that of the conventional system. We have shown that CDSS prevents physicians' diagnostic errors due to confirmation bias.
CONCLUSIONS
We have demonstrated that the CDSS is useful for supporting differential diagnoses and preventing diagnostic errors. We believe that DDx by physicians and LTR have a high affinity. We found that Information Retrieval (IR) and Clinical Decision Support System (CDSS) have much in common (target data, LTR, etc.). We believe that CDSS has the potential to support 1) recall of rare diseases, 2) differential diagnoses for difficult-to-diagnose diseases, and 3) prevention of diagnostic errors. We also believe that our system has the potential for evolution to an Explainable Clinical Decision Support System (X-CDSS).
The infant feeding methods promoted by South African Instagram influencers in relation to crying and sleeping, 2018-2020: A retrospective digital ethnography
Authors: Pilime Sukoluhle , Jewett Sara 
Published: September 2022

Abstract
Background
Globally, there has been a decline in breastfeeding rates. This has resulted in increased infant mortality due to infectious diseases and inappropriate feeding practices. Part of the decline in breastfeeding rates is attributed to the aggressive marketing of breastmilk substitutes (BMS) by manufacturers, despite regulations prohibiting this. With the progressive use of social media, marketing has shifted from traditional methods to the use of influencers, who command a huge following on their social media accounts and influence the daily decisions of their followers. This study investigates the infant feeding methods promoted by South African influencers in relation to crying and sleeping and their followers’ responses.
Methods
This was a retrospective study, which used a mixed methods digital ethnographic approach to analyse posts related to infant feeding methods that were made by seven South African Instagram influencers between the period of January 2018 to December 2020. Framing analysis was used to analyse qualitative data and quantitative data were analysed descriptively.
Results
From the 62 posts that were analysed, 27 were sponsored advertisements (some violating local regulations) and 35 posts promoted breastfeeding. The 18 333 follower comments and 918 299 likes in response to the posts were also analysed. We found that influencers presented BMS products as a solution for a child who cries a lot and has trouble sleeping. BMS were framed as helpful for children who are seemingly always hungry and dissatisfied with breastmilk alone. The study also found that some influencers promoted breastfeeding on their Instagram pages. Unlike BMS posts, breastfeeding posts were not sponsored. With a few exceptions, followers tended to support and reinforce the framing of influencers.
Conclusion
Stiffer regulations should be enforced against companies using influencers to promote their BMS products, with proactive monitoring of social media. Professionals giving advice contrary to the guidelines from the WHO should be reported according to Regulation 991 and made accountable. Proactive engagement with Instagram influencers to promote breastfeeding should be considered.
Large Eddy Simulation of an Inverted Multi-Element Wing in Ground Effect
Authors: Slaughter James , Moxey David , Sherwin Spencer 
Published: September 2022

Abstract
Due to the proprietary nature of modern motorsport and Formula 1, current scientific literature lacks relevant studies and benchmarks that can be used to test and validate new methods. Due to the release of a free geometry - the Imperial Front Wing - we present a computational study of a multi-element aerofoil at a ride height of 0.36h/c and a Reynolds Number of 2.2 × 105. A 0.16c slice of the Imperial has been examined using high-order Spectral/hp Element Methods. Time averaged force data is presented finding lift and drag coefficients of -8.33 and 0.17 respectively. Transient analysis of the force- and surface pressure data resulted in salient mode identification with respect to the transition mechanisms of each element.The mainplane and flap laminar separation were studied and the cross-spectral phase presented for the lower frequency modes. At a St=40 an in-phase relationship was identified between mainplane and flap Laminar Separation Bubbles, whilst at St=60 a distinct out-of-phase relationship was identified. Wake results including wake-momentum deficit and turbulent kinetic energy plots have been presented - showing wake meandering and subsequent break down due to a Kelvin-Helmholtz instability. These results, particularly the transition mechanisms will allow for the construction of a data set to validate novel methods in this area.
The struggle for the social: rejecting a false separation in our engagement with 'social' worlds in mental health spaces
Authors: Burgess Rochelle A. 
Published: September 2022

Abstract
How are we to best conceptualise the social in relation to mental health? This piece seeks to explore a series of tensions that emerge in our attempt to contemplate, engage with, and address the social in mental health spaces. First, I explore the tensions created by disciplinary demands for specialisation, questioning the value of this in with regards to treating the social and emotional body, which continually rejects this fragmentation. Drawing on the work of Foucault and Deleuze, I re-interpret a case study of a woman seeking mental health services in South Africa, initially encountered during my doctoral research in 2010. In doing so, I also explore the tension created by seeking to hold the complexity brought to systems and researchers by everyday people, within spaces for response and action. To move the field forward, I explore the need for, and simultaneous impossibility of a ‘unifying theory’ which contains the multiple ways that the social manifests. In developing these arguments, I reflect on what possibilities for a unified perspective of the ‘social’ provided by phenomenology embedded in Black Sociological scholarship, which reminds us that our understandings and ways of being in the world are situated within and against the life world. This approach more readily offers access to the full range of the ‘social’ that we often seek to differentiate for the purposes of analysis or manageable systems of response. Though what this means for global mental health approaches is arguably still to be determined, I conclude with a potential call to action that asks us to develop maps of the social, which allow academics, activists, and practitioners to better engage in processes to recognise the constellation of social dynamics at work in people’s lives.