bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Three-Step Technique for Optimal Nipple Position in Transgender Chest Masculinization
Authors: Ayyala Haripriya S , Mukherjee Thayer J , Le Thuy-My , Cohen Wess A , Luthringer Margaret , Keith Jonathan D 
Published: June 2020

Abstract

Background
The ideal position of the nipple-areola complex (NAC) in the transgender population can be a challenge to determine.

Objectives
The authors sought to determine the best location and aesthetics of the female to male NAC.

Methods
Patients who underwent female to male mastectomy with free nipple grafting were included. NAC position is confirmed utilizing a vertical coordinate at the level of the 4th rib near the border of the pectoralis muscle and a horizontal coordinate determined by dividing each unilateral chest into vertical thirds from midline to anterior axillary line laterally. The NAC position is confirmed at the junction of the middle and lateral third. Symmetry is ensured bilaterally by creating a triangle and transposing it side to side; the base lies from sternal notch to inframammary fold in the midline and the apex is adjusted to the NAC. A 24-question survey utilizing a 5-point Likert scale was distributed postoperatively to assess the patient’s thoughts about their chest, nipples, scar, and overall experience with the gender affirmation process.

Results
Thirty-one patients were included in this study. Eighteen patients responded to the postmastectomy survey, all of whom were highly satisfied with the aesthetic result postoperatively. All patients felt comfortable with their exposed chest. Nipple location was particularly highly received with 100% satisfaction rate (mean Likert score, 4.72). Nipple size and shape received a mean Likert score of 4.17 and 3.89, respectively.

Conclusions
The triple confirmation technique is an easy, reproducible method to guide the surgeon in relocation of the NAC.

Level of Evidence: 4
Microenvironmental Changes in the Surviving Fat 1 Year After Autologous Fat Transplantation for Breast Augmentation
Authors: Li Fang-Wei , Zeng Li , Luo Sheng-Kang 
Published: June 2020

Abstract

Background
Autologous fat is currently one of the most commonly used soft tissue materials in plastic surgery, but the changes that occur in fat after transplantation are unclear. Existing studies on the changes in surviving fat mostly involve animal experiments.

Objectives
The aim of this study was to obtain surviving fat 1 year after clinical autologous fat transplantation for breast augmentation, to explain the microenvironmental changes after fat transplantation from a clinical perspective, and to verify previous research conclusions, thus providing new insight into fat survival.

Methods
Samples of surviving fat were obtained from 5 patients 1 year after they had undergone autologous fat transplantation for breast augmentation, and normal fat samples were obtained from 5 patients who had not undergone this procedure. The differences between CD68 and CD31 were analyzed immunohistochemically, and between CD34 and Ki67 by immunofluorescence. We also tested whether UCP-1 is expressed in surviving fat.

Results
The relative CD68, CD34, and Ki67 expression levels in the surviving fat tissue were significantly higher than those in the normal fat tissue (PCD68 = 0.04, PCD34 = 0.03, PKi67 = 0.02). The relative CD31 expression was not significantly different between the two groups (P = 0.52). No UCP-1 expression was observed in any surviving fat tissue.

Conclusions
Chronic inflammatory reactions mediated by macrophages were detectable 1 year after autologous fat transplantation for breast augmentation. The mesenchymal stem cell content in surviving fat was higher than that in normal fat, but the number of blood vessels was close to that in normal breast fat tissue. No genesis of brown fat was found.

Level of Evidence: 5
AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics
Authors: Sharifi-Noghabi Hossein , Peng Shuman , Zolotareva Olga , Collins Colin C , Ester Martin 
Published: June 2020

Abstract

Motivation
The goal of pharmacogenomics is to predict drug response in patients using their single- or multi-omics data. A major challenge is that clinical data (i.e. patients) with drug response outcome is very limited, creating a need for transfer learning to bridge the gap between large pre-clinical pharmacogenomics datasets (e.g. cancer cell lines), as a source domain, and clinical datasets as a target domain. Two major discrepancies exist between pre-clinical and clinical datasets: (i) in the input space, the gene expression data due to difference in the basic biology, and (ii) in the output space, the different measures of the drug response. Therefore, training a computational model on cell lines and testing it on patients violates the i.i.d assumption that train and test data are from the same distribution.

Results
We propose Adversarial Inductive Transfer Learning (AITL), a deep neural network method for addressing discrepancies in input and output space between the pre-clinical and clinical datasets. AITL takes gene expression of patients and cell lines as the input, employs adversarial domain adaptation and multi-task learning to address these discrepancies, and predicts the drug response as the output. To the best of our knowledge, AITL is the first adversarial inductive transfer learning method to address both input and output discrepancies. Experimental results indicate that AITL outperforms state-of-the-art pharmacogenomics and transfer learning baselines and may guide precision oncology more accurately.

Availability and implementation
https://github.com/hosseinshn/AITL.

Supplementary information
Supplementary data are available at Bioinformatics online.
Cerebral atrophy in amyotrophic lateral sclerosis parallels the pathological distribution of TDP43
Authors: Dadar Mahsa , Manera Ana Laura , Zinman Lorne , Korngut Lawrence , Genge Angela , Graham Simon J , Frayne Richard , Collins D Louis , Kalra Sanjay 
Published: June 2020

AbstractAmyotrophic lateral sclerosis is a neurodegenerative disease characterized by a preferential involvement of both upper and lower motor neurons. Evidence from neuroimaging and post-mortem studies confirms additional involvement of brain regions extending beyond the motor cortex. The aim of this study was to assess the extent of cerebral disease in amyotrophic lateral sclerosis cross-sectionally and longitudinally and to compare the findings with a recently proposed disease-staging model of amyotrophic lateral sclerosis pathology. Deformation-based morphometry was used to identify the patterns of brain atrophy associated with amyotrophic lateral sclerosis and to assess their relationship with clinical symptoms. Longitudinal T1-weighted MRI data and clinical measures were acquired at baseline, 4 months and 8 months, from 66 patients and 43 age-matched controls who participated in the Canadian Amyotrophic Lateral Sclerosis Neuroimaging Consortium study. Whole brain voxel-wise mixed-effects modelling analysis showed extensive atrophy patterns differentiating patients from the normal controls. Cerebral atrophy was present in the motor cortex and corticospinal tract, involving both grey matter and white matter, and to a lesser extent in non-motor regions. More specifically, the results showed significant bilateral atrophy in the motor cortex and corticospinal tract (including the internal capsule and brainstem) and ventricular enlargement, along with significant longitudinal atrophy in precentral gyrus, frontal and parietal white matter, accompanied by ventricular and sulcal enlargement. Atrophy in the precentral gyrus was significantly associated with greater disability as quantified with the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (P &lt; 0.0001). The pattern of atrophy observed using deformation-based morphometry was consistent with the Brettschneider’s four-stage pathological model of the disease. Deformation-based morphometry provides a sensitive indicator of atrophy in Amyotrophic lateral sclerosis and has potential as a biomarker of disease burden, in both grey matter and white matter.
Embodied Cognition in Communication Science
Authors: Hardy Bruce W 
Published: June 2020

Abstract
Communication science is primarily based on traditional disembodied theories of cognition that inform much of the field's research endeavors. However, recent theories of embodied cognition that situate knowledge acquisition and attitude formation processes in our sensorimotor systems have challenged traditional amodal assumptions. While an embodied perspective is embraced in communication research related to virtual reality (VR), it has not been widely adopted in other areas of communication science. In this article, I (a) introduce and review relevant embodied cognition scholarship from various fields, (b) explicate embodiment in social interactions and language, (c) discuss embodied mental simulation, imagery, and visualization, (d) briefly present ways in which embodiment is currently being used to inform contemporary communication research related to VR, (e) explain how embodied mental simulation can be incorporated with traditional communication models, and (f) conclude with a call for nuanced theorizing and triangulated empirical support for communication theory with an embodied perspective.
The influence of the SARS-CoV-2 pandemic on esophagogastric cancer services: an international survey of esophagogastric surgeons
Authors: Kamarajah Sivesh K , Markar Sheraz R , Singh Pritam , Griffiths Ewen A ,   Oesophagogastric Anastomosis Audit Group
Published: June 2020

Abstract

Background
Several guidelines to guide clinical practice among esophagogastric surgeons during the COVID-19 pandemic were produced. However, none provide reflection of current service provision. This international survey aimed to clarify the changes observed in esophageal and gastric cancer management and surgery during the COVID-19 pandemic.

Methods
An online survey covering key areas for esophagogastric cancer services, including staging investigations and oncological and surgical therapy before and during (at two separate time-points—24th March 2020 and 18th April 2020) the COVID-19 pandemic were developed.

Results
A total of 234 respondents from 225 centers and 49 countries spanning six continents completed the first round of the online survey, of which 79% (n = 184) completed round 2. There was variation in the availability of staging investigations ranging from 26.5% for endoscopic ultrasound to 62.8% for spiral computed tomography scan. Definitive chemoradiotherapy was offered in 14.8% (adenocarcinoma) and 47.0% (squamous cell carcinoma) of respondents and significantly increased by almost three-fold and two-fold, respectively, in both round 1 and 2. There were uncertainty and heterogeneity surrounding prioritization of patients undergoing cancer resections. Of the surgeons symptomatic with COVID-19, only 40.2% (33/82) had routine access to COVID-19 polymerase chain reaction testing for staff. Of those who had testing available (n = 33), only 12.1% (4/33) had tested positive.

Conclusions
These data highlight management challenges and several practice variations in caring for patients with esophagogastric cancers. Therefore, there is a need for clear consistent guidelines to be in place in the event of a further pandemic to ensure a standardized level of oncological care for patients with esophagogastric cancers.
Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence
Authors: Knaus Michael C , Lechner Michael , Strittmatter Anthony 
Published: June 2020

Summary
We investigate the finite-sample performance of causal machine learning estimators for heterogeneous causal effects at different aggregation levels. We employ an empirical Monte Carlo study that relies on arguably realistic data generation processes (DGPs) based on actual data in an observational setting. We consider 24 DGPs, eleven causal machine learning estimators, and three aggregation levels of the estimated effects. Four of the considered estimators perform consistently well across all DGPs and aggregation levels. These estimators have multiple steps to account for the selection into the treatment and the outcome process.
Mechanisms of Soybean Host-Plant Resistance Against Megacopta cribraria (Hemiptera: Plataspidae)
Authors: Lahiri S , Reisig D D , Dean Lisa L , Reay-Jones F P F , Greene J K , Carter T E , Mian R , Fallen B D 
Published: June 2020

Abstract
A number of soybean varieties traditionally bred for resistance to various soybean arthropod pests have been identified as resistant to Megacopta cribraria (F.) (Hemiptera: Plataspidae). However, the mechanisms of host-plant resistance (HPR) in this system are not understood. The goal of this study was to identify the mechanisms of resistance by examining the role of plant volatile organic compounds (VOCs) and free amino acids (FAAs) among 16 soybean varieties. Choice and no-choice cage experiments identified several soybean varieties that demonstrated antixenosis as well as antibiosis. However, resistance varied over time in certain soybean varieties, such as N02-7002 and PI567352B. Mean nymph number from choice experiments had positive correlations with the FAAs asparagine, tryptophan, alanine, phenylanaline, and serine; negative correlation with leucine and threonine. Four plant volatiles, hexanal, 2-pentylfuran, beta-cyclocitral, and cis-9-hexadecenal, were positively correlated with subsequent nymph development, whereas n-hexadecenoic acid was negatively correlated with nymph number only, in adult choice cage experiments. This study contributes to understanding the mechanisms of HPR through associations with plant VOCs and FAAs in relation to M. cribraria development and provides useful knowledge for developing soybean varieties for M. cribraria management.
Echocardiographic predictors of cardiovascular morbidity and mortality in women from the general population
Authors: Lundorff Ingrid , Modin Daniel , Mogelvang Rasmus , Godsk Jørgensen Peter , Schnohr Peter , Gislason Gunnar , Biering-Sørensen Tor 
Published: June 2020

Abstract

Aims
Global longitudinal strain (GLS) is a strong predictor of adverse cardiovascular outcome in men. However, studies have indicated that GLS may not predict cardiovascular outcomes as effectively in women. The aim of this study was to identify echocardiographic predictors of cardiovascular morbidity and mortality in women from the general population.

Methods and results
A total of 1245 women from the general population free of heart failure (HF) and atrial fibrillation had an echocardiographic examination performed including tissue Doppler imaging. In this subset, 747 women had images eligible for strain analysis. Endpoint was a composite of acute myocardial infarction, HF, and cardiovascular death. During follow-up (median 12.5 years), 162 women (13.0%) reached the composite outcome. These women had higher left ventricular (LV) mass index (LVMI), more LV hypertrophy, lower E/A, higher E/e′, larger LV dimensions, and longer deceleration time. LVMI and e′ remained as significant predictors of the composite outcome [LVMI: hazard ratio (HR) 1.10, 95% confidence interval (CI) 1.03–1.17, P = 0.004, per 5 g/m2 increase] (e′: HR 1.53, 95% CI 1.07–2.20, P = 0.020, per 1 cm/s decrease) after adjusting for age, hypertension, systolic blood pressure, diabetes mellitus, total cholesterol, smoking status, prevalent ischaemic heart disease, LV ejection fraction, E/e′, E, E/A, interventricular septum thickness in diastole, left ventricular posterior wall in diastole, a′, body surface area, and pro-brain natriuretic peptide. GLS was not an independent predictor of outcome after multivariable adjustment.

Conclusion
The degree of LV hypertrophy assessed as LVMI and diastolic dysfunction evaluated by e′ are associated with adverse cardiovascular outcome in women from the general population.
Standardized pulmonary vein isolation workflow to enclose veins with contiguous lesions: the multicentre VISTAX trial
Authors: Duytschaever Mattias , Vijgen Johan , De Potter Tom , Scherr Daniel , Van Herendael Hugo , Knecht Sebastien , Kobza Richard , Berte Benjamin , Sandgaard Niels , Albenque Jean-Paul , Szeplaki Gabor , Stevenhagen Yorick Jeroen , Taghji Philippe , Wright Matthew , Macours Nathalie , Gupta Dhiraj 
Published: June 2020

Abstract

Aims
To evaluate the safety and effectiveness of pulmonary vein isolation in paroxysmal atrial fibrillation (PAF) using a standardized workflow aiming to enclose the veins with contiguous and optimized radiofrequency lesions.

Methods and results
This multicentre, prospective, non-randomized study was conducted at 17 European sites. Pulmonary vein isolation was guided by VISITAG SURPOINT (VS target ≥550 on the anterior wall; ≥400 on the posterior wall) and intertag distance (≤6 mm). Atrial arrhythmia recurrence was stringently monitored with weekly and symptom-driven transtelephonic monitoring on top of standard-of-care monitoring (24-h Holter and 12-lead electrocardiogram at 3, 6, and 12 months follow-up). Three hundred and forty participants with drug refractory PAF were enrolled. Acute effectiveness (first-pass isolation proof to a 30-min wait period and adenosine challenge) was 82.4% [95% confidence interval (CI) 77.4–86.7%]. At 12-month follow-up, the rate of freedom from any documented atrial arrhythmia was 78.3% (95% CI 73.8–82.8%), while freedom from atrial arrhythmia by standard-of-care monitoring was 89.4% (95% CI 78.8–87.0%). Freedom fromrepeat ablations by the Kaplan–Meier analysis was 90.4% during 12 months of follow-up. Of the 34 patients with repeat ablations, 14 (41.2%) demonstrated full isolation of all pulmonary vein circles. Primary adverse event (PAE) rate was 3.6% (95% CI 1.9–6.3%).

Conclusions
The VISTAX trial demonstrated that a standardized PAF ablation workflow aiming for contiguous lesions leads to low rates of PAEs, high acute first-pass isolation rates, and 12-month freedom from arrhythmias approaching 80%. Further research is needed to improve the reproducibility of the outcomes across a wider range of centres.
Clinical trial registration: ClinicalTrials.gov, number NCT03062046, https://clinicaltrials.gov/ct2/show/NCT03062046.
Prevalence of pathogens harbouring mobile antimicrobial resistance genes and virulence factors in retail beef and mutton
Authors: Liu Ying , Cui Yifang , Peng Wenjing , Huang Baoyong , Ma Lichao , Zheng Min , Ding Shuangyang , Zhu Kui 
Published: June 2020

ABSTRACT
Food safety is always a global issue, due to the increased dissemination of antimicrobial resistance and food poisoning related to foodborne bacterial pathogens. The purpose of this study was to assess the risk of potential foodborne bacteria of beef and mutton in retail stores. A total of 134 samples were collected from 24 local markets in Beijing, including raw and cooked beef or mutton, as well as samples derived from the corresponding environment and human beings. We obtained 674 isolates, of which Klebsiella spp. and Staphylococcus spp. were the dominant bacterial species in the meat samples and the environmental samples, respectively. Additionally, environmental bacteria are common in samples from different sources. Based on the results of antimicrobial sensitivity testing, resistance to tetracycline (with a resistance rate of 47.40%), amoxicillin + clavulanate (47.13%) and erythromycin (28.03%) were the major resistant phenotypes. According to the whole genome analysis, the extended spectrum beta-lactamase genes harboured by two K. pneumoniae strains isolated from cooked and raw beef were located on mobile elements. The major toxin genes of Bacillus cereus and adhesion- or invasion-related virulence factors were also shared among isolates from different sources. These factors pose potential risks to public health and need attention.
Associations of Actigraphic Sleep Parameters With Fatigability in Older Adults
Authors: Alfini Alfonso J , Schrack Jennifer A , Urbanek Jacek K , Wanigatunga Amal A , Wanigatunga Sarah K , Zipunnikov Vadim , Ferrucci Luigi , Simonsick Eleanor M , Spira Adam P 
Published: June 2020

AbstractBackgroundPoor sleep may increase the likelihood of fatigue, and both are common in later life. However, prior studies of the sleep–fatigue relationship used subjective measures or were conducted in clinical populations; thus, the nature of this association in healthier community-dwelling older adults remains unclear. We studied the association of actigraphic sleep parameters with perceived fatigability—fatigue in response to a standardized task—and with conventional fatigue symptoms of low energy or tiredness.MethodsWe studied 382 cognitively normal participants in the Baltimore Longitudinal Study of Aging (aged 73.1 ± 10.3 years, 53.1% women) who completed 6.7 ± 0.9 days of wrist actigraphy and a perceived fatigability assessment, including rating of perceived exertion (RPE) after a 5-minute treadmill walk or the Pittsburgh Fatigability Scale (PFS). Participants also reported non-standardized symptoms of fatigue.ResultsAfter adjustment for age, sex, race, height, weight, comorbidity index, and depressive symptoms, shorter total sleep time (TST; &lt;6.3 hours vs intermediate TST ≥6.3 to 7.2 hours) was associated with high RPE fatigability (odds ratio [OR] = 2.56, 95% confidence interval [CI] = 1.29, 5.06, p = .007), high PFS physical (OR = 1.88, 95% CI = 1.04, 3.38, p = .035), and high mental fatigability (OR = 2.15, 95% CI = 1.02, 4.50, p = .044), whereas longer TST was also associated with high mental fatigability (OR = 2.19, 95% CI = 1.02, 4.71, p = .043). Additionally, longer wake bout length was associated with high RPE fatigability (OR = 1.53, 95% CI = 1.14, 2.07, p = .005), and greater wake after sleep onset was associated with high mental fatigability (OR = 1.14, 95% CI = 1.01, 1.28, p = .036).ConclusionAmong well-functioning older adults, abnormal sleep duration and sleep fragmentation are associated with greater perceived fatigability.
Automated Muscle Measurement on Chest CT Predicts All-Cause Mortality in Older Adults From the National Lung Screening Trial
Authors: Lenchik Leon , Barnard Ryan , Boutin Robert D , Kritchevsky Stephen B , Chen Haiying , Tan Josh , Cawthon Peggy M , Weaver Ashley A , Hsu Fang-Chi 
Published: June 2020

Abstract

Background
Muscle metrics derived from computed tomography (CT) are associated with adverse health events in older persons, but obtaining these metrics using current methods is not practical for large datasets. We developed a fully automated method for muscle measurement on CT images. This study aimed to determine the relationship between muscle measurements on CT with survival in a large multicenter trial of older adults.

Method
The relationship between baseline paraspinous skeletal muscle area (SMA) and skeletal muscle density (SMD) and survival over 6 years was determined in 6,803 men and 4,558 women (baseline age: 60–69 years) in the National Lung Screening Trial (NLST). The automated machine learning pipeline selected appropriate CT series, chose a single image at T12, and segmented left paraspinous muscle, recording cross-sectional area and density. Associations between SMA and SMD with all-cause mortality were determined using sex-stratified Cox proportional hazards models, adjusted for age, race, height, weight, pack-years of smoking, and presence of diabetes, chronic lung disease, cardiovascular disease, and cancer at enrollment.

Results
After a mean 6.44 ± 1.06 years of follow-up, 635 (9.33%) men and 265 (5.81%) women died. In men, higher SMA and SMD were associated with a lower risk of all-cause mortality, in fully adjusted models. A one-unit standard deviation increase was associated with a hazard ratio (HR) = 0.85 (95% confidence interval [CI] = 0.79, 0.91; p &lt; .001) for SMA and HR = 0.91 (95% CI = 0.84, 0.98; p = .012) for SMD. In women, the associations did not reach significance.

Conclusion
Higher paraspinous SMA and SMD, automatically derived from CT exams, were associated with better survival in a large multicenter cohort of community-dwelling older men.