bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Qualitative Study of Smoking‐Related Causal Attributions and Risk Perceptions in Cervical Cancer Survivors
Authors: Puleo Gabriella E. , Borger Tia N. , Montgomery Devin , Rivera Rivera Jessica N. , Burris Jessica L. 
Published: November 2019

AbstractObjectiveThe prevalence of smoking among cervical cancer survivors typically exceeds what is found among women in the general population and other cancer survivors. Yet, there is a dearth of literature on risk and protective factors related to smoking among cervical cancer survivors, especially when it comes to identification of variables that are amendable to intervention. To help fill this gap in the literature, this qualitative study examines the nature of smoking‐related causal attributions and risk perceptions in cervical cancer survivors who smoked at cancer diagnosis.MethodsParticipants are 21 female cervical cancer survivors (M=45.7, SD=8.4 years old), all diagnosed in the past five years. Nearly three‐quarters of participants reported smoking in the past month. Results: Smoking was not uniformly recognized as a cause of cervical cancer (whether in general or participants' own cancer); the link between smoking and lung, head‐neck, and other cancers was more readily accepted. Despite generally weak endorsements of causal attributions, many participants reported smoking significantly increases risk for poor clinical (e.g., recurrence) and quality of life (e.g., pain) outcomes after cervical cancer diagnosis.ConclusionsFindings suggest cervical cancer survivors may not fully understand or appreciate the role of smoking in cervical cancer risk whereas their beliefs about the role of smoking in cervical cancer prognosis are more well‐formed. This study highlights the potential role of causal attributions and risk perceptions in understanding and addressing the smoking‐related experience of cervical cancer survivors.
Psychosocial consequences in offspring of women with breast cancer
Authors: Chan Arlene , Lomma Christopher , Chih HuiJun , Arto Carmelo , McDonald Fiona , Patterson Pandora , Willsher Peter , Reid Christopher 
Published: November 2019

AbstractObjectiveBreast cancer (BC) accounts for 24% of female cancers, with approximately one quarter of women likely to have offspring aged less than 25 years. Recent publications demonstrate negative psychosocial well‐being in these offspring. We prospectively assessed for psychological distress and unmet needs in offspring of BC patients.MethodsEligible offspring aged 14 to 24 years were consented and completed the Kessler‐10 Questionnaire and Offspring Cancer Needs Instrument. Demographic and BC details were obtained.ResultsOver a 7‐month period, 120 offspring from 74 BC patients were included. Fifty‐nine mothers had nonmetastatic BC (nMBC), and 27 had metastatic BC (MBC) with median time from diagnosis of 27.6 and 36.1 months, respectively. The prevalence of high/very high distress was 31%, with significantly higher scores reported by female offspring (P = .017). Unmet needs were reported by more than 50% of offspring with the majority of needs relating to information about their mother's cancer. Greater unmet needs were seen in female offspring and offspring with none or one sibling for several domains (practical assistance, time‐out, dealing with feelings, and support from friends; P < .05). Greater unmet needs were seen in regard to feelings for MBC patients' offspring compared with nMBC but were similar for other unmet needs.ConclusionsOur study confirms high levels of psychological distress in offspring of BC patients, with female offspring reporting significantly higher emotional distress and unmet needs. More than 50% of respondents reported unmet needs in areas that can potentially be supported, including greater information provision, improving practical issues, and enabling sufficient recreational time.
Particulate matter at third trimester and respiratory infection in infants, modified by GSTM1
Authors: Yang Song‐I , Kim Hyo‐Bin , Kim Hwan‐Cheol , Lee So‐Yeon , Kang Mi‐Jin , Cho Hyun‐Ju , Yoon Jisun , Jung Sungsu , Lee Eun , Yang Hyeon‐Jong , Ahn Kangmo , Kim Kyung Won , Shin Youn Ho , Suh Dong In , Hong Soo‐Jong 
Published: November 2019

AbstractObjectivesTo investigate the association between particulate matter with an aerodynamic diameter of less than 2.5 μm (PM2.5) exposure during each trimester of pregnancy and development of lower respiratory tract infections (LRTIs) during the first 3 years of life and whether GSTM1 gene polymorphisms modify these effects.MethodsThis study included 1,180 mother‐child pairs from the Cohort for Childhood Origin of Asthma and allergic diseases. The PM2.5 levels during pregnancy were estimated by residential address using land‐use regression models based on a national monitoring system. A diagnosis of LRTIs was based on a parental report of a physician's diagnosis. Real‐time polymerase chain reaction was used for GSTM1 genotyping.ResultsHigher PM2.5 exposure during the third trimester was associated with LRTIs at 1 year of age (aRR, 1.06; 95% CI, 1.00‐1.13). This result did not change after adjusting for PM2.5 exposures during the first and second trimesters (aRR, 1.06; 95% CI, 0.99‐1.13). This association was significant after adjusting for PM2.5 exposures during first year of age (aRR, 1.08; 95% CI, 1.02‐1.15) and exposures to NO2 and ozone at the third trimester (aRR, 1.07; 95% CI, 1.00‐1.16). In addition, PM2.5 exposure during the third trimester increased the risk of LRTIs at 1 year of age in cases with the GSTM1 null genotype (aRR, 1.26; 95% CI, 1.01‐1.57; P for interaction .20).ConclusionHigher PM2.5 exposure during the third trimester of pregnancy may increase the susceptibility to LRTIs at 1 year of age. This effect is modified by GSTM1 gene polymorphisms.
“Knowledge migrants” or “economic migrants”? Patterns of academic mobility and migration from Southern Europe to Mexico
Authors: Mendoza Cristóbal , Staniscia Barbara , Ortiz Anna 
Published: November 2019

AbstractBecause mobility has been described as a key element of the academic habitus and a well‐established norm in scientific life, people moving within academia have been generally considered to be “knowledge migrants” and “talent migrants.” Indeed, the literature rarely takes a labour market perspective when analysing academic mobility. However, Southern European academia is largely characterised by challenging working conditions, low wages, and a lack of fair competition for positons, all of which negatively affecting job prospects. Based on 25 in‐depth interviews, this paper explores the reasons behind the migration of a group of Spanish and Italian academics in Mexico with a view to bringing into focus the role of economic/labour and career‐related reasons in migration decisions. We find that their experiences fall along three main academic trajectories, which are distinguished by the stage in the participants' careers at which they decided to migrate and the channels by which they entered Mexican academia. Common to all three groups is the identification of the economic crisis and a lack of institutional support as strong motivating factors in their decision. Underlying this is the question of whether the studied group is best viewed as “knowledge”/“talent” migrants who have followed certain institutional channels or “economic migrants” who are somehow pushed to work abroad by the lack of good employment in their countries of origin. The paper also challenges mainstream ideas about academic mobility, in the sense that the literature has not considered the attractive power of universities/research centres located in the Global South.
A physically based precipitation separation algorithm for convection‐permitting models over complex topography
Authors: Poujol B. , Sobolowski S.P. , Mooney P.A. , Berthou S. 
Published: November 2019

AbstractA new algorithm is described that can separate precipitation output from convection‐permitting models into three different types of precipitation: (a) convective, (b) stratiform, and (c) orographically enhanced precipitation. The algorithm is based on physical processes that underlie these types of precipitation and it is applicable over both ocean and land surfaces. It is particularly well suited for mountainous areas or other regions exhibiting complex terrain. The algorithm's performance is first demonstrated for a selection of well‐understood weather events and then for a 10‐year convection‐permitting climate simulation over Norway. The algorithm correctly separates convection embedded in frontal systems from stratiform precipitation and also properly identifies orographically enhanced precipitation when the frontal systems interact with local orography. The results suggest that this can be a powerful new tool for investigating characteristics of precipitation in convection‐permitting climate simulations, particularly in a climate change context and as researchers move towards models that explicitly resolve convection and its related processes.
Coupling Nanostructured CsNiCr Prussian Blue Analogue to Resonant Microwave Fields
Authors: Ghirri Alberto , Herrero Christian , Mazérat Sandra , Mallah Talal , Moze Oscar , Affronte Marco 
Published: November 2019

AbstractCollective spin excitations in magnetically ordered materials are exploited for advanced applications in magnonics and spintronics. In these contexts, conditions for minimizing dissipative effects are sought in order to obtain long living excitations that can be coherently manipulated. Organic and coordination materials may offer alternative options for their flexibility and low spin–orbit effects. Likewise, ferromagnetic nanostructures provide a versatile platform for hybrid architectures, yet downsizing affects the spin dynamics and needs to be controlled. Here, a systematic investigation on insulating CsNiCr(CN)6 Prussian blue analogue, including isolated nanoparticles dispersed in polyvinylpyrrolidone, mutually interacting nanoparticles embedded in cetyltrimethylammonium, and bulk samples, is reported. Ferromagnetic resonance spectroscopy is performed in a wide temperature range across the bulk ferromagnetic transition occurring at 90 K. This allows us to monitor key parameters through different types of nanostructured samples. It is found that the Gilbert damping parameter of 10 nm nanoparticles compares well (10−3) with values reported for prototypical yttrium iron garnet Y3Fe5O12. Strong coupling with the microwave field of a microstrip resonator is then observed for bulk CsNiCr(CN)6 as well as for interacting nanoparticles. These results clarify conditions for the coherent manipulation of collective spin degrees of freedom in nanostructured coordination materials.
Precise determination of the molybdenum isotopic composition of urine by multiple collector inductively coupled plasma mass spectrometry
Authors: Zhang Jing , Li Jie , Zhang Le , Wang Zhi‐bing , Sun Sheng‐ling , Luo Zhen‐yu 
Published: November 2019

RationaleMolybdenum (Mo) is predominantly expelled from the human body in urine. Consequently, urinary variability in the concentration and isotopic composition of Mo may encode valuable clinical information. To access this information, however, it is first necessary to develop and demonstrate a rapid, accurate and precise methodology capable of concentrating Mo from urine for isotope analysis.MethodsThe utility of N‐benzoyl‐N‐phenylhydroxylamine (BPHA) to effectively separate and purify Mo from urine samples without the need for acid digestion was tested. Following this approach, applying a double‐spike mass bias correction, we determined the Mo isotopic compositions of a set of urine samples by multiple collector inductively coupled plasma mass spectrometry (MC‐ICP‐MS).ResultsBased on replicate analyses of an in‐house urine standard, this approach demonstrates an external precision on δ98/95Mo values of better than 0.08‰ (2SD, n = 15). Application to a sample set collected from healthy individuals in Guangzhou, China, provides the first suite of δ98/95Mo measurements from urine samples. Samples from the female participants show δ98/95Mo (‰) values (1.31 ± 0.19‰, Ave ± 2SD, n = 14) that are consistently lower than those from the male participants (1.55 ± 0.16‰, Ave ± 2SD, n = 17).ConclusionsThe employed methodology is suitable for rapid, low‐blank and high‐throughput Mo isotope analysis of urine samples. Although resolvable δ98/95Mo variability is seen in this preliminary dataset, the mechanism driving this variability is unknown. High‐precision Mo isotopic analysis might be added to the urinalysis tool‐kit, with the potential to provide valuable clinical information in the future.
Bounded consensus for multiagent systems by event‐triggered data transmission, time delay, and predictor‐based control
Authors: Cui Yanliang , Xu Lanlan 
Published: November 2019

SummaryThis paper investigates the consensus issue of multiagent systems with data transmission time delay. The state measurement of each local agent is directly sent to a private event‐trigger and further authorized to be broadcasted to its neighbors via communication network only when the threshold of the event‐trigger is violated. Since the controller always receives discrete‐time neighbor information with data transmission time delay, a predictor is employed to estimate the continuous‐time neighbor state. Based on the estimated state, a novel consensus protocol is mainly proposed for achieving the bounded consensus of the multiagent systems. By the proposed method, the asynchronous neighbor information is allowed and the margin of data transmission time delay is also given. Furthermore, it has been proved that the unwanted Zeno phenomena can be naturally excluded. Numerical example is provided to demonstrate the effectiveness of the proposed method.
Hydrodynamics of longitudinally discontinuous, vertically double layered and partially covered rigid vegetation patches in open channel flow
Authors: Anjum Naveed , Tanaka Norio 
Published: November 2019

AbstractThe aim of this paper is to numerically investigate how the flow structures are affected through a longitudinally discontinuous and vertically two‐layered vegetation occupying half width of the channel, with steady flow rate and subcritical conditions. A three‐dimensional (3‐D) Reynolds stress turbulence model (RSM), incorporated by Computational Fluid Dynamics (CFD) code FLUENT, was first validated with the experimental data, and then used for simulation purpose. The results showed that the flow stream‐wise velocities within the gap regions are visibly slower than that in the vegetation patch regions. Along the cross section, the velocity in the vegetation region (VR) reduced significantly due to resistance offered by the vegetation, which affected the channel conveyance; as compared to the free (non‐vegetated) region. The flow instability in the lateral direction was triggered by the flow shear due to the presence of partly distributed vegetation, resulting in the formation of coherent vortices and exchange of momentum at the interface. The discharge percentage passing through the free region (FR) was found to be 144–525% larger than that passing through the VR. The flow resistance increased significantly with higher vegetation density, whereas it decreased when both the vegetation layers were submerged. Moreover, the flow characteristics profiles in large gaps were more stable than in small gaps. The turbulent kinetic energy (TKE) and turbulence intensity also increased significantly through the patch regions compared to that of the gap regions. The results indicated that the flow structures and the flow resistance are strongly influenced by partial and discontinuous vegetation.
Microfluidics as an Enabling Technology for Personalized Cancer Therapy
Authors: Mathur Lukas , Ballinger Martine , Utharala Ramesh , Merten Christoph A. 
Published: November 2019

AbstractTailoring patient‐specific treatments for cancer is necessary in order to achieve optimal results but requires new diagnostic approaches at affordable prices. Microfluidics has immense potential to provide solutions for this, as it enables the processing of samples that are not available in large quantities (e.g., cells from patient biopsies), is cost efficient, provides a high level of automation, and allows the set‐up of complex models for cancer studies. In this review, individual solutions in the fields of genetics, circulating tumor cell monitoring, biomarker analysis, phenotypic drug sensitivity tests, and systems providing controlled environments for disease modeling are discussed. An overview on how these early stage achievements can be combined or developed further is showcased, and the required translational steps before microfluidics becomes a routine tool for clinical applications are critically discussed.
Micro/Nano Technology for Next‐Generation Diagnostics
Authors: Xu Huan , Gao Mingxuan , Tang Xiaoqi , Zhang Wenqing , Luo Dan , Chen Ming 
Published: November 2019

AbstractThere has been a constant and urgent need to upgrade the current diagnostic technologies to the next generation by utilizing innovative advanced technologies in order to meet new challenges. Micro/nano technology, a series of methods for design and manipulation materials at the micrometer and nanometer scales, which perfectly covers the key building blocks of life including cells, organelles, proteins, nucleic acids, and other components, has unique advantages over current diagnostic methods. For the applications of micro–nano technology in next‐generation diagnostics, three categories, including microchip‐based devices, DNA nanomachines, and DNA nanomaterials, are extensively reviewed. Specifically, for the microchip‐based devices, terahertz technology and surface acoustic wave technology show their ultrasensitivity of label‐free, amplification‐free diagnosis. For the DNA nanomachines, DNA tweezers, DNA robots, and DNA walkers exhibit a great potential for diagnosis with the arbitrary structures and controllable motion behaviors. For the DNA nanomaterials, DNA aptamers, DNAzymes, and hybrid DNA nanomaterials provide sensitive biorecognition elements and versatile signal transductions, which are demonstrated as promising material candidates for the next‐generation diagnostics. Through this review, it is envisioned that micro/nano technologies will play an important role in the next‐generation diagnostics.
Supersymmetric Liouville theory in AdS2 and AdS/CFT
Authors: Beccaria Matteo , Jiang Hongliang , Tseytlin Arkady A. 
Published: November 2019

Abstract
In a series of recent papers, a special kind of AdS2/CFT1 duality was observed: the boundary correlators of elementary fields that appear in the Lagrangian of a 2d conformal theory in rigid AdS2 background are the same as the correlators of the corresponding primary operators in the chiral half of that 2d CFT in flat space restricted to the real line. The examples considered were: (i) the Liouville theory where the operator dual to the Liouville scalar in AdS2 is the stress tensor; (ii) the abelian Toda theory where the operators dual to the Toda scalars are the $$ \mathcal{W} $$
W
-algebra generators; (iii) the non-abelian Toda theory where the Liouville field is dual to the stress tensor while the extra gauged WZW theory scalars are dual to non-abelian parafermionic operators. By direct Witten diagram com- putations in AdS2 one can check that the structure of the boundary correlators is indeed consistent with the Virasoro (or higher) symmetry. Here we consider a supersymmetric generalization: the $$ \mathcal{N} $$
N
= 1 superconformal Liouville theory in AdS2. We start with the super Liouville theory coupled to 2d supergravity and show that a consistent restriction to rigid AdS2 background requires a non-zero value of the supergravity auxiliary field and thus a modification of the Liouville potential from its familiar flat-space form. We show that the Liouville scalar and its fermionic partner are dual to the chiral half of the stress tensor and the supercurrent of the super Liouville theory on the plane. We perform tests supporting the duality by explicitly computing AdS2 Witten diagrams with bosonic and fermionic loops.
Holomorphic structure and quantum critical points in supersymmetric Lifshitz field theories
Authors: Arav Igal , Oz Yaron , Raviv-Moshe Avia 
Published: November 2019

Abstract
We construct supersymmetric Lifshitz field theories with four real supercharges in a general number of space dimensions. The theories consist of complex bosons and fermions and exhibit a holomorphic structure and non-renormalization properties of the superpotential. We study the theories in a diverse number of space dimensions and for various choices of marginal interactions. We show that there are lines of quantum critical points with an exact Lifshitz scale invariance and a dynamical critical exponent that depends on the coupling constants.
The QCD axion and unification
Authors: Pérez Pavel Fileviez , Murgui Clara , Plascencia Alexis D. 
Published: November 2019

Abstract
The QCD axion is one of the most appealing candidates for the dark matter in the Universe. In this article, we discuss the possibility to predict the axion mass in the context of a simple renormalizable grand unified theory where the Peccei-Quinn scale is determined by the unification scale. In this framework, the axion mass is predicted to be in the range ma ≃ (3–13) × 10−9 eV. We study the axion phenomenology and find that the ABRACADABRA and CASPEr-Electric experiments will be able to fully probe this mass window.
Half-dimensional collapse of ends of manifolds of nonpositive curvature
Authors: Avramidi Grigori , Nguyễn-Phan T. Tâm 
Published: November 2019

AbstractThis paper accomplishes two things. First, we construct a geometric analog of the rational Tits building for general noncompact, complete, finite volume n-manifolds M of bounded nonpositive curvature. Second, we prove that this analog has dimension less than $$\lfloor n/2\rfloor $$⌊n/2⌋.
Effect of CIMicifuga racemosa on metaBOLIC parameters in women with menopausal symptoms: a retrospective observational study (CIMBOLIC)
Authors: Friederichsen Lena , Nebel Sabine , Zahner Catherine , Bütikofer Lukas , Stute Petra 
Published: November 2019

Abstract
Purpose
To compare the influence of Cimicifuga racemosa extract (CR, Ze 450) and menopausal hormone therapy (MHT) on metabolic parameters and body weight in symptomatic menopausal women.

Methods
In this monocentric retrospective cohort study, women over 40 years old with a first consultation between 2009 and 2016 were screened. Included in the final analysis were women treated with either MHT or CR and having at least one follow-up consultation. Metabolic serum parameters (lipids, glucose, insulin, and HOMA-IR), body weight, and menopausal symptoms [Menopause Rating Scale (MRS)-II] were the main outcome measures. Statistical analysis by uni- and multi-variable linear mixed-effects regression models assuming a linear effect of time.

Results
174 women were included in the final analysis (CR n = 32, MHT n = 142). There was no difference between the groups regarding baseline characteristics (age, BMI, serum metabolic parameters, hormones, and blood pressure) and total MRS-II score, while reproductive stage differed significantly with more postmenopausal women treated with CR (83%) than MHT (55%) (p = 0.038). Median follow-up time was 12 months. In both groups, metabolic serum parameters and body weight did not change over the follow-up period, while total and MRS-II subscores improved.

Conclusion
Menopausal symptoms improved significantly in both groups (MHT and CR), while serum metabolic parameters and body weight did not change in MHT- or CR-treated women.