bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of a Comprehensive Financial Resource on Financial Toxicity in a National, Multiethnic Sample of Adult, Adolescent/Young Adult, and Pediatric Patients With Cancer
Authors: Ragavan Meera V. , Mora Rosa V. , Winder Kate , Incudine Andrea , Cunningham Rosie , Stivers Tom , Borno Hala T. 
Published: November 2022

PURPOSE: Financial toxicity is a well-recognized problem for patients with cancer. However, a crucial gap remains in describing and implementing mitigation strategies. We conducted a national survey of a multiethnic adolescent/pediatric and adult patient population served by Family Reach, a nonprofit organization focused on removing financial barriers to cancer care, to evaluate the impact of a comprehensive financial resource on patient-reported financial toxicity. METHODS: An electronic survey was administered to characterize patients' current financial health and the impact of Family Reach's resources on financial toxicity. The survey was e-mailed to all patients or caregivers who received resources from Family Reach between January 1, 2020, and June 30, 2020. Factors associated with higher financial stress and higher potential impact of resources on financial burden were evaluated through separate multivariate regression models. Qualitative responses were analyzed using manual coding and thematic analysis. RESULTS: Three hundred thirty socioeconomically and racially diverse respondents (overall response rate 40%; 46% non-Hispanic White; 48% with incomes below the federal poverty line) completed the survey and were included in the analysis. More than half of respondents reported high financial stress in the previous week. Hispanic ethnicity, Black race, and low annual household income were associated with higher financial toxicity. A greater amount of financial assistance was associated with a higher confidence rating that resources provided would decrease financial stress. In open-ended comments, respondents highlighted the impact of the COVID-19 pandemic and resulting job loss on financial toxicity, the importance of financial navigation, the benefits of financial assistance, and anxiety about long-term financial health. CONCLUSION: A comprehensive financial resource, particularly financial assistance, alleviated financial toxicity in a multiethnic national sample of patients with cancer. Ongoing work is critical to address sustainable funding sources and financial navigation to support patients during treatment and survivorship.
Efficient electron transfer in quantum dot chains controlled by a cubic detuning profile via shortcuts to adiabaticity
Authors: Rus María E. , Romero Rodolfo H. , Gomez Sergio S. 
Published: November 2022

Abstract
Long-distance fast and precise transfer of charge in semiconductor nanostructures is one of the goals for scalable electronic devices. We study theoretically the control of shuttling of an electron along a linear chain of semiconductor electrostatically defined quantum dots by an electric field pulse with nonlinear time-dependent profile. We show that this essential nonlinearity along with shortcuts to adiabaticity techniques speed up the electron transfer with high fidelity, while still holding great robustness under spin-flip interactions and inhomogeneities in the couplings of the chain. A given fidelity can be set experimentally by controlling the maximum sweep energy and duration of the control pulse.
A comment on lepton mixing
Authors: Metaxas Dimitrios 
Published: November 2022

Abstract
Since right-handed neutrinos, if added to the Standard Model, have no gauge interactions, their kinetic terms can be mixed. I examine the related rotations of the gauge eigenstates in order to derive the propagators for the kinetic and mass terms, and I comment on the resulting lepton mixing, on the possibility of not having well-defined mass eigenstates, and on the modifications to weak contributions and observables (anomalous magnetic moment, muon decay, neutrino oscillations).
Coherent states with minimum Gini uncertainty for finite quantum systems
Authors: Lei C. , Vourdas A. 
Published: November 2022

Abstract
Uncertainty relations

in terms of the Gini index are studied. The “Gini uncertainty constant”

is estimated numerically and compared to an upper bound

. It is shown that for large d we get

. States

with minimum Gini uncertainty and displacement transformations are used to define coherent states

(where

) with minimum Gini uncertainty

. The

resolve the identity, and therefore an arbitrary state can be expanded in terms of them. This expansion is robust in the presence of noise.
An Indigenous Congregation at the Colegio of San Gregorio: Dowries for “Indias” and the Economy of Salvation
Authors: Díaz Mónica 
Published: November 2022

Abstract
This essay focuses on the connective networks among Native peoples that the Jesuit Colegio of San Gregorio and the Good Death Congregation promoted. Specifically, it discusses how aspects of what the article calls the economy of salvation allowed for the strengthening of social networks among Natives in the central part of Mexico City. Through the establishing of pious works within the colegio that supported the congregation’s activities, Indigenous peoples fostered a sense of cohesiveness and bolstered their ethnic identities.
Construction and validation of a personalized nomogram of ultrasound for pretreatment prediction of breast cancer patients sensitive to neoadjuvant chemotherapy
Authors: Zhang Man-Qi , Du Yu , Zha Hai-Ling , Liu Xin-Pei , Cai Meng-Jun , Chen Zhi-Hui , Chen Rui , Wang Jue , Wang Shou-Ju , Zhang Jiu-Lou , Li Cui-Ying 
Published: November 2022

Objective: To construct a combined radiomics model based on pre-treatment ultrasound for predicting of advanced breast cancers sensitive to neoadjuvant chemotherapy (NAC). Methods: A total of 288 eligible breast cancer patients who underwent NAC before surgery were enrolled in the retrospective study cohort. Radiomics features reflecting the phenotype of the pre-NAC tumors were extracted. With features selected using the least absolute shrinkage and selection operator (LASSO) regression, radiomics signature (Rad-score) was established based on the pre-NAC ultrasound. Then, radiomics nomogram of ultrasound (RU) was established on the basis of the best radiomic signature incorporating independent clinical features. The performance of RU was evaluated in terms of calibration curve, area under the curve (AUC), and decision curve analysis (DCA). Results: Nine features were selected to construct the radiomics signature in the training cohort. Combined with independent clinical characteristics, the performance of RU for identifying Grade 4–5 patients was significantly superior than the clinical model and Rad-score alone (p < 0.05, as per the Delong test), which achieved an AUC of 0.863 (95% CI, 0.814–0.963) in the training group and 0.854 (95% CI, 0.776–0.931) in the validation group. DCA showed that this model satisfactory clinical utility, suggesting its robustness as a response predictor. Conclusion: This study demonstrated that RU has a potential role in predicting drug-sensitive breast cancers. Advances in knowledge: Aiming at early detection of Grade 4–5 breast cancer patients, the radiomics nomogram based on ultrasound has been approved as a promising indicator with high clinical utility. It is the first application of ultrasound-based radiomics nomogram to distinguish drug-sensitive breast cancers.
Skala Współczucia dla Samego Siebie (SCS-PL)
Authors: Kocur Dagna , Flakus Maria , Fopka-Kowalczyk Małgorzata 
Published: November 2022

W ostatnich dwudziestu latach widzimy znaczny wzrost zainteresowania współczuciem dla samego siebie (z ang. self-compassion) w wielu dziedzinach nauk, także w psychologii, pedagogice czy medycynie. Celem publikacji jest przedstawienie procesu polskiej adaptacji Skali Współczucia dla Samego Siebie (Self Compassion Scale) autorstwa Kristin Neff. Adaptacja przebiegła w dwóch etapach. Walidacja kulturowa skali polegała na tłumaczeniu skali na język angielski, a następnie tłumaczenia zwrotnego – z języka angielskiego na polski oraz zadbaniu o równoważność fasadową oraz funkcjonalną testu zgodnie z przyjętymi zasadami adaptacji kulturowej skal. Drugim etapem była walidacja psychometryczna skali w oparciu o przeprowadzone badania z udziałem 645 badanych z wykorzystaniem Skali Współczucia dla Samego Siebie (SCS- PL) oraz Metryczki uwzględniającej dane demograficzne badanych takie jak wiek, płeć, miejsce zamieszkania, wykształcenie oraz romantyczne związki. Przeprowadzone badania i uzyskane wyniki pozwalają stwierdzić, że polska wersja SCS jest wiarygodną i miarą samowspółczucia. SCS-PL uzyskała w badaniach zadowalające wyniki rzetelności i trafności. Skala może być stosowana do oceny współczucia wobec siebie oraz jego komponentów, zarówno w warunkach klinicznych jak i badawczych,
The association of marital/partner status with patient-reported health outcomes following acute myocardial infarction or stroke: Protocol for a systematic review and meta-analysis
Authors: Zhu Cenjing , Tran Phoebe M. , Leifheit Erica C. , Spatz Erica S. , Dreyer Rachel P. , Nyhan Kate , Wang Shi-Yi , Goldstein Larry B. , Lichtman Judith H. 
Published: November 2022

Introduction
Marital/Partner support is associated with lower mortality and morbidity following acute myocardial infarction (AMI) and stroke. Despite an increasing focus on the effect of patient-centered factors on health outcomes, little is known about the impact of marital/partner status on patient-reported outcome measures (PROMs).

Objective
To synthesize evidence of the association between marital/partner status and PROMs after AMI and stroke and to determine whether associations differ by sex.

Methods and analysis
We will search MEDLINE (via Ovid), Web of Science Core Collection (as licensed by Yale University), Scopus, EMBASE (via Ovid), and PsycINFO (via Ovid) from inception to July 15, 2022. Two authors will independently screen titles, abstracts, and then full texts as appropriate, extract data, and assess risk of bias. Conflicts will be resolved by discussion with a third reviewer. The primary outcomes will be the associations between marital/partner status and PROMs. An outcome framework was designed to classify PROMs into four domains (health-related quality of life, functional status, symptoms, and personal recovery). Meta-analysis will be conducted if appropriate. Subgroup analysis by sex and meta-regression with a covariate for the proportion of male participants will be performed to explore differences by sex.

Ethics and dissemination
This research is exempt from ethics approval because the study will be conducted using published data. We will disseminate the results of the analysis in a related peer-reviewed journal.

Trial registration
PROSPERO registration number: CRD42022295975.
Factors related to COVID-19 vaccine intention in Latino communities
Authors: Perez Adriana , Johnson Julene K. , Marquez David X. , Keiser Sahru , Martinez Paula , Guerrero Javier , Tran Thi , Portacolone Elena 
Published: November 2022

ObjectiveTo examine the effects of the COVID-19 pandemic among Latino communities, with an emphasis on understanding barriers and facilitators to vaccine intention prior to the development of the vaccine.MethodsQualitative data were collected between April and June 2020 from 3 focus groups with Latino adults (n = 21) and interviews with administrators of community-based organizations serving Latino communities (n = 12) in urban (Los Angeles) and rural (Fresno) California, supplemented by Community Advisory Board input in May 2021to elucidate the findings. Data were analyzed with deductive content analysis.ResultsWe have identified four main themes that are barriers to vaccinating against COVID-19: 1) concerns about accessing appropriate healthcare services, 2) financial issues and 3) immigration matters, as well as 4) misinformation.ConclusionsFindings illustrate the pervasive role of addressable social determinants of health in the intention of rural and urban Latino communities in being vaccinated, which is a pressing public health issue. Policy implications: Findings provide evidence for a systemic shift to prioritize equitable access to COVID-19 vaccines to Latino communities.
Molecular diversity of hepatitis B virus among pregnant women in Amhara National Regional State, Ethiopia
Authors: Dagnew Mulat , Moges Feleke , Tiruneh Moges , Million Yihenew , Gelaw Aschalew , Adefris Mulat , Belyhun Yeshambel , Liebert Uwe G. , Maier Melanie 
Published: November 2022

Background
Despite the availability of effective vaccines and treatments for hepatitis B virus (HBV), it continues to be a major public health problem in sub-Saharan Africa including Ethiopia. Routine screening for HBV in pregnant women is widely recommended, but there is lack of screening for HBV during pregnancy in Ethiopia. Therefore, this study aimed to assess viral load, and genetic diversity among pregnant women in the Amhara National Regional State, Ethiopia.

Materials and methods
Hepatitis B surface antigen (HBsAg) testing was performed on 1846 pregnant women, 85 of who tested positive were included in this study. HBV DNA was isolated from 85 positive sera, and the partial surface/polymerase gene was amplified and sequenced. HBV genotypes, sub-genotypes, serotypes and mutations in surface genes and polymerase were studied.

Results
Out of 85 pregnant women`s HBsAg positive sera, 59(69.4%) had detectable viral DNA. The median viral load was 3.4 log IU/ml ranging from 2.6 to7.6 and 46 samples were successfully sequenced and genotyped. Genotypes A and D were identified in 39 (84.8%) and 7 (15.2%); respectively. All genotype A isolates were further classified into sub-genotype A1 and serotype adw2 (84.8%) whereas genotype D isolates were further classified into three sub genotypes; 2 (4.3%) D2, 1(2.2%) D4, and 4 (8.7%) D10 with serotypes ayw2 (10.9%), and ayw3 (4.3%). There were 19 (41.3%) surface gene mutations in the major hydrophilic region (MHR). Six (13.1%) of them were discovered in MHR`s `a’-determinant region. Six polymerase gene mutations (13%) were identified.

Conclusion
Genotype A was the predominant genotype in the Amhara National Regional State. The surface and polymerase gene mutations identified in this study may lead to immune therapy failure, diagnostics escape and drug resistance. Thus, the data generated in this study will contribute to the planning of HBV diagnosis, vaccination and treatment, and most importantly to the prevention of vertical transmission of HBV in Ethiopia. Therefore, further molecular studies on HBV are warranted and continuous surveillance is important for patient management and for the prevention and control of HBV infection in the country.
Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care
Authors: Bhavnani Sanjeev P. , Khedraki Rola , Cohoon Travis J. , Meine Frederick J. , Stuckey Thomas D. , McMinn Thomas , Depta Jeremiah P. , Bennett Brett , McGarry Thomas , Carroll William , Suh David , Steuter John A. , Roberts Michael , Gillins Horace R. , Shadforth Ian , Lange Emmanuel , Doomra Abhinav , Firouzi Mohammad , Fathieh Farhad , Burton Timothy , Khosousi Ali , Ramchandani Shyam , Sanders William E. , Smart Frank 
Published: November 2022

Background
Phase space is a mechanical systems approach and large-scale data representation of an object in 3-dimensional space. Whether such techniques can be applied to predict left ventricular pressures non-invasively and at the point-of-care is unknown.

Objective
This study prospectively validated a phase space machine-learned approach based on a novel electro-mechanical pulse wave method of data collection through orthogonal voltage gradient (OVG) and photoplethysmography (PPG) for the prediction of elevated left ventricular end diastolic pressure (LVEDP).

Methods
Consecutive outpatients across 15 US-based healthcare centers with symptoms suggestive of coronary artery disease were enrolled at the time of elective cardiac catheterization and underwent OVG and PPG data acquisition immediately prior to angiography with signals paired with LVEDP (IDENTIFY; NCT #03864081). The primary objective was to validate a ML algorithm for prediction of elevated LVEDP using a definition of ≥25 mmHg (study cohort) and normal LVEDP ≤ 12 mmHg (control cohort), using AUC as the measure of diagnostic accuracy. Secondary objectives included performance of the ML predictor in a propensity matched cohort (age and gender) and performance for an elevated LVEDP across a spectrum of comparative LVEDP (<12 through 24 at 1 mmHg increments). Features were extracted from the OVG and PPG datasets and were analyzed using machine-learning approaches.

Results
The study cohort consisted of 684 subjects stratified into three LVEDP categories, ≤12 mmHg (N = 258), LVEDP 13–24 mmHg (N = 347), and LVEDP ≥25 mmHg (N = 79). Testing of the ML predictor demonstrated an AUC of 0.81 (95% CI 0.76–0.86) for the prediction of an elevated LVEDP with a sensitivity of 82% and specificity of 68%, respectively. Among a propensity matched cohort (N = 79) the ML predictor demonstrated a similar result AUC 0.79 (95% CI: 0.72–0.8). Using a constant definition of elevated LVEDP and varying the lower threshold across LVEDP the ML predictor demonstrated and AUC ranging from 0.79–0.82.

Conclusion
The phase space ML analysis provides a robust prediction for an elevated LVEDP at the point-of-care. These data suggest a potential role for an OVG and PPG derived electro-mechanical pulse wave strategy to determine if LVEDP is elevated in patients with symptoms suggestive of cardiac disease.
The Palgrave Handbook of History and Social Studies Education, Christopher W. Berg and Theodore M. Christou (2020)
Authors: Pacievitch Caroline 
Published: November 2022

Review of: The Palgrave Handbook of History and Social Studies Education, Christopher W. Berg and Theodore M. Christou (2020)
Cham: Palgrave Macmillan, 642 pp.,
ISBN 978-3-030-37210-1, e-book, £159.50
Concept for the testing of automated functions in therapeutic medical devices
Authors: Henn Sandra , Kabuth Bastian , Schollemann Franziska , Hennigs Carlotta , Männel Georg , Angern Michael , Rostalski Philipp 
Published: November 2022

Abstract
In this paper, a testing for highly automated function (HAF) is adapted from the automotive industry to therapeutic medical devices. It contains different steps to achieve a safety argumentation: First, scenarios of interest (SoI) based on a systematic generalization of failure mode and effect analysis (FMEA) are identified, then the concrete scenarios are generated using design of experiment (DoE). These scenarios are simulated virtually and physically and are then evaluated. The procedure is explained with the use of examples.
Machine learning with nonlinear state space models
Authors: Schüssler Max 
Published: November 2022

Abstract
In this dissertation, a novel class of model structures and associated training algorithms for building data-driven nonlinear state space models is developed. The new identification procedure with the resulting model is called local model state space network (LMSSN). Furthermore, recurrent neural networks (RNNs) and their similarities to nonlinear state space models are elaborated on. The overall outstanding performance of the LMSSN is demonstrated on various applications.
Red blood cell parameters in early childhood: a prospective cohort study
Authors: Nielsen Sofie Taageby , Lytsen Rikke Mohr , Strandkjær Nina , Hansen Malene Kongsgaard , Sillesen Anne-Sophie , Vøgg R. Ottilia B. , Raja Anna Axelsson , Rasmussen Ida Juul , Kamstrup Pia R. , Benn Marianne , Iversen Kasper , Bundgaard Henning , Frikke-Schmidt Ruth 
Published: November 2022

Abstract

Objectives
Red blood cell parameters are frequently used biomarkers when assessing clinical status in newborns and in early childhood. Cell counts, amounts, and concentrations of these parameters change through gestation and after birth. Robust age-specific reference intervals are needed to optimize clinical decision making.

Methods
The Copenhagen Baby Heart Study (CBHS) and the COMPARE study are prospective cohort studies including red blood cell parameters from 7,938 umbilical cord blood samples and 295 parallel venous blood samples from newborns with follow-up at two and at 14–16 months after birth.

Results
For venous blood at birth, reference intervals for hemoglobin, erythrocytes, and hematocrit were 145–224 g/L, 4.1–6.4 × 1012/L, and 0.44–0.64, respectively. Hemoglobin, erythrocytes, and hematocrit were lower at birth in children delivered by prelabor cesarean section compared to vaginal delivery. Conversion algorithms based on term newborns were: venous hemoglobin=(umbilical cord hemoglobin˗86.4)/0.39; venous erythrocytes=(umbilical cord erythrocytes-2.20)/0.44; and venous hematocrit=(umbilical cord hematocrit-0.24)/0.45.

Conclusions
This study presents new reference intervals for red blood cell parameters in early childhood, describes the impact of delivery mode, and provide exact functions for converting umbilical cord to venous blood measurements for term newborns. These findings may improve clinical decision making within neonatology and infancy and enhance our clinical understanding of red blood cell parameters for health and diseases in early life.
Imagining the future of diagnostic performance feedback
Authors: Rosner Benjamin I. , Zwaan Laura , Olson Andrew P.J. 
Published: November 2022

Abstract
Diagnostic performance is uniquely challenging to measure, and providing feedback on diagnostic performance to catalyze diagnostic recalibration remains the exception to the rule in healthcare. Diagnostic accuracy, timeliness, and explanation to the patient are essential dimensions of diagnostic performance that each intersect with a variety of technical, contextual, cultural, and policy barriers. Setting aside assumptions about current constraints, we explore the future of diagnostic performance feedback by describing the “minimum viable products” and the “ideal state” solutions that can be envisioned for each of several important barriers. Only through deliberate and iterative approaches to breaking down these barriers can we improve recalibration and continuously drive the healthcare ecosystem towards diagnostic excellence.
Experimental investigation of Segregated Dry Municipal Solid Waste (SDMSW) and biomass blends in the gasification process
Authors: Rachamala Ravi Kumar , Sanke Narasimhulu , Seshu Kumar A. 
Published: November 2022

Abstract
Producing sustainable energy to meet the world’s current demands is a major concern. Municipal Solid Waste (MSW) is a good source for producing sustainable energy and currently gets abundantly generated in India. Usually MSW is screened to prepare Segregated Dry Municipal Solid Waste (SDMSW) pellets before subjecting it to gasification to produce producer gas. But, generation of hazardous byproducts is a key issue in the conversion of SDMSW to producer gas. In the present work a multi-purpose downdraft gasifier has been designed and developed that can process biomass and SDMSW pellets blend while reducing undesirable byproducts such as tar and ash. The calorific value, chemical composition and byproduct content of the SDMSW pallets blended with biomass are determined prior to gasification. The feedstock is characterised using ultimate and proximate analysis, and the calorific value is determined using a bomb calorimeter. Gas chromatography is used to assess the quality of the producer gas. The results indicate that adding 50% SDMSW to Biomass results in good efficiency.