bluuebunny/crossref_metadata_2025_split huggingface dataset:
Migration distance from birthplace and its association with relative income and employment share among heterosexual couples in Switzerland
Authors: Viry Gil , Drevon Guillaume , Masse Florian , Gauthier Jacques‐Antoine , Kaufmann Vincent , Gumy Alexis 
Published: April 2024

AbstractAmong heterosexual couples, employment of the female partner may suffer from household migration often driven by the job of the male partner. Most research has traditionally focused on the distance moved after couple formation and has neglected how far partners live from their birthplaces. Recent life course research has shown that staying in, leaving or returning to the place of origin of one or both partners often reflects couples' work–family arrangements. This study contributes to this literature by examining the division of employment between partners and their relative contribution to household income according to migration distances. We analyse data from a national sample of economically active individuals living with heterosexual partners in Switzerland. When controlling for selectivity of migrant couples, the analysis confirms that long‐distance household migration benefits men's relative earnings. Among couples who migrated within the same region, employment is more equally shared between partners than among other couples, including nonmigrant couples. The relative distance to birthplaces also matters. Women's contribution to household income is higher among couples in which men migrated close to women's birthplace and is lower among couples where women migrated close to men's birthplace compared to women in other couples. This study suggests that future research on household migration should consider important social ties and places beyond the ‘last family move’ and the mechanisms by which these ties and places influence couples' decisions about where to live together and economic outcomes.
Joint modeling of tumor dynamics and progression‐free survival in advanced breast cancer: Leveraging data from amcenestrant early phase I–II trials
Authors: Cerou Marc , Thai Hoai‐Thu , Deyme Laure , Fliscounakis‐Huynh Sophie , Comets Emmanuelle , Cohen Patrick , Cartot‐Cotton Sylvaine , Veyrat‐Follet Christine 
Published: April 2024

AbstractA joint modeling framework was developed using data from 75 patients of early amcenestrant phase I–II AMEERA‐1‐2 dose escalation and expansion cohorts. A semi‐mechanistic tumor growth inhibition (TGI) model was developed. It accounts for the dynamics of sensitive and resistant tumor cells, an exposure‐driven effect on tumor proliferation of sensitive cells, and a delay in the initiation of treatment effect to describe the time course of target lesion tumor size (TS) data. Individual treatment exposure overtime was introduced in the model using concentrations predicted by a population pharmacokinetic model of amcenestrant. This joint modeling framework integrated complex RECISTv1.1 criteria information, linked TS metrics to progression‐free survival (PFS), and was externally evaluated using the randomized phase II trial AMEERA‐3. We demonstrated that the instantaneous rate of change in TS (TS slope) was an important predictor of PFS and the developed joint model was able to predict well the PFS of amcenestrant phase II monotherapy trial using only early phase I–II data. This provides a good modeling and simulation tool to inform early development decisions.
Therapeutic effects of saffron (Crocus sativus L) on female reproductive system disorders: A systematic review
Authors: Hasheminasab Fatemeh Sadat , Azimi Maryam , Raeiszadeh Mahboobeh 
Published: April 2024

AbstractThe effect of Crocus sativus on several disorders has been discussed or even confirmed, but the efficacy of this herb on the female reproductive system has not been well presented. In this regard, this systematic review comprehensively discussed the efficacy of C. sativus and its main phytochemical compounds on the female reproductive system and its disorders for the first time. In this systematic review, scientific databases, including PubMed, Web of Sciences, Google Scholar, Scopus, and Scientific Information Database, were explored profoundly. In vivo, in vitro, and human studies published until the end of July 2023, which had investigated the pharmacological properties of C. sativus, crocin, crocetin, safranal, or picrocrocin on the female reproductive system, were selected. A total of 50 studies conducted on the effect of C. sativus on the female reproductive system were acquired. These studies confirmed the efficacy of C. sativus or its main phytochemical ingredients in several aspects of the female reproductive system, including regulation of sex hormones, folliculogenesis, ovulation, and protection of the ovary and uterus against several oxidative stress. Several retrieved studies indicated that this herb also can alleviate the symptoms of patients suffering from dysmenorrhea, premenstrual syndrome, menopause, polycystic ovary disease (PCOD), and sexual dysfunction. Furthermore, it is a promising candidate for future studies or even trials regarding ovarian and cervical cancers. This review concluded that C. sativus can improve the symptoms of several female reproductive system disorders, which is particularly due to the presence of phytochemical ingredients, such as crocin, crocetin, and safranal.
Lead‐time‐continuous statistical postprocessing of ensemble weather forecasts
Authors: Wessel Jakob Benjamin , Ferro Christopher A. T. , Kwasniok Frank 
Published: April 2024

AbstractNumerical weather prediction (NWP) ensembles often exhibit biases and errors in dispersion, so they need some form of postprocessing to yield sharp and well‐calibrated probabilistic predictions. The output of NWP models is usually at a multiplicity of different lead times and, even though information is often required on this range of lead times, many postprocessing methods in the literature are applied either at a fixed lead time or by fitting individual models for each lead time. However, this is (1) computationally expensive because it requires the training of multiple models if users are interested in information at multiple lead times and (2) prohibitive because it restricts the data used for training postprocessing models and the usability of fitted models. This article investigates the lead‐time dependence of postprocessing methods in the idealized Lorenz'96 system as well as temperature and wind‐speed forecast data from the Met Office Global and Regional Ensemble Prediction System (MOGREPS‐G). The results indicate that there is substantial regularity between the models fitted for different lead times and that one can fit models that are lead‐time‐continuous that work for multiple lead times simultaneously by including lead time as a covariate. These models achieve similar and, in small data situations, even improved performance compared with the classical lead‐time‐separated models, whilst saving substantial computation time.
Objective Bayesian estimation for multistate stress‐strength model's reliability with various kernel functions
Authors: Ma Haijing , Jia Junmei , Peng Xiuyun , Yan Zaizai 
Published: April 2024

AbstractThe paper discusses the objective Bayesian estimation of the reliability of a multistate stress‐strength model (MSSM) based on different kernel functions. For the MSSM, we first derive the reliability function and Fisher information matrix. The Jeffreys prior, reference prior, and probability matching prior for the reliability function of the MSSM are constructed based on the objective Bayesian paradigm. Subsequently, we demonstrated that these priors are improper density, then evaluated the effects of these priors on Bayes estimates for MSSM's reliability based on a complete sample. The Bayesian estimates are calculated using random walk Metropolis–Hastings techniques. We employ Monte Carlo simulation to examine the effectiveness of Bayes estimates for MSSM's reliability in terms of average bias and mean squared error, meanwhile the highest posterior density credible intervals are investigated in terms of average length and coverage probability. Finally, two real datasets were examined, demonstrating the viability of the objective Bayes technique for small sample data.
Creation of Multi‐Principal Element Alloy NiCoCr Nanostructures via Nanosecond Laser‐Induced Dewetting
Authors: Mandal Soumya , Gupta Ashish Kumar , Konečná Andrea , Shirato Nozomi , Hachtel Jordan A. , Sachan Ritesh 
Published: April 2024

AbstractThe multi‐principal element alloy nanoparticles (MPEA NPs), a new class of nanomaterials, present a highly rewarding opportunity to explore new or vastly different functional properties than the traditional mono/bi/multimetallic nanostructures due to their unique characteristics of atomic‐level homogeneous mixing of constituent elements in the nanoconfinements. Here, the successful creation of NiCoCr nanoparticles, a well‐known MPEA system is reported, using ultrafast nanosecond laser‐induced dewetting of alloy thin films. Nanoparticle formation occurs by spontaneously breaking the energetically unstable thin films in a melt state under laser‐induced hydrodynamic instability and subsequently accumulating in a droplet shape via surface energy minimization. While NiCoCr alloy shows a stark contrast in physical properties compared to individual metallic constituents, i.e., Ni, Co, and Cr, yet the transient nature of the laser‐driven process facilitates a homogeneous distribution of the constituents (Ni, Co, and Cr) in the nanoparticles. Using high‐resolution chemical analysis and scanning nanodiffraction, the environmental stability and grain arrangement in the nanoparticles are further investigated. Thermal transport simulations reveal that the ultrashort (≈100 ns) melt‐state lifetime of NiCoCr during the dewetting event helps retain the constituent elements in a single‐phase solid solution with homogenous distribution and opens the pathway to create the unique MPEA nanoparticles with laser‐induced dewetting process.
S‐Doping Regulated Iron Spin States in Fe−N−C Single‐Atom Material for Enhanced Peroxidase‐Mimicking Activity at Neutral pH
Authors: Zhu Fuying , Yu YueYi , Yu Zhixuan , Qiu Haochen , Lu Guo‐Ping , Chen Zhong , Hu Jun , Lin Yamei 
Published: April 2024

AbstractDesigning biomimetic nanomaterials with peroxidase (POD)‐like activity at neutral pH remains a significant challenge. An S‐doping strategy is developed to afford an iron single‐atom nanomaterial (Fe1@CN‐S) with high POD‐like activity under neutral conditions. To the best of knowledge, there is the first example on the achievement of excellent POD‐like activity under neutral conditions by regulating the active site structure. S‐doping not only promotes the dissociation of the N─H bond in 3,3″,5,5″‐tetramethylbenzidine (TMB), but also facilitates the desorption of OH* by the transformation of iron species’ spin states from middle‐spin (MS FeII) to low‐spin (LS FeII). Meanwhile, LS FeII sites typically have more unfilled d orbitals, thereby exhibiting stronger interactions with H2O2 than MS FeII, which can enhance POD‐like activity. Finally, a one‐pot visual detection of glucose at pH 7 is performed, demonstrating the best selectivity and sensitivity than previous reports.
Spin Effect to Regulate the Electronic Structure of Ir─Fe Aerogels for Efficient Acidic Water Oxidation
Authors: Gao Cunyuan , Wang Juan , Hübner René , Zhan Jinhua , Zhao Mingwen , Li Yangyang , Cai Bin 
Published: April 2024

Abstract“Spin” has been recently reported as an important degree of electronic freedom to promote catalysis, yet how it influences electronic structure remains unexplored. This work reports the spin‐induced orbital hybridization in Ir─Fe bimetallic aerogels, where the electronic structure of Ir sites is effectively regulated by tuning the spin property of Fe atoms. The spin‐optimized electronic structure boosts oxygen evolution reaction (OER) electrocatalysis in acidic media, resulting in a largely improved catalytic performance with an overpotential of as low as 236 mV at 10 mA cm−2. Furthermore, the gelation kinetics for the aerogel synthesis is improved by an order of magnitude based on the introduction of a magnetic field. Density functional theory calculation reveals that the increased magnetic moment of Fe (3d orbital) changes the d‐band structure (i.e., the d‐band center and bandwidth) of Ir (5d orbital) via orbital hybridization, resulting in optimized binding of reaction intermediates. This strategy builds the bridge between the electron spin theory with the d‐band theory and provides a new way for the design of high‐performance electrocatalysts by using spin‐induced orbital interaction.
Platycodi radix aqueous extract salvages doxorubicin‐induced senescence by mitochondrial reactive oxygen species reduction in umbilical cord matrix stem cells
Authors: Lee Pei‐Ying , Sitorus Maria Angelina , Kuo Chia‐Hua , Tsai Bruce Chi‐Kang , Kuo Wei‐Wen , Lin Kuan‐Ho , Lu Shang‐Yeh , Lin Yueh‐Min , Ho Tsung‐Jung , Huang Chih‐Yang 
Published: April 2024

AbstractPlatycodi radix is a widely used herbal medicine that contains numerous phytochemicals beneficial to health. The health and biological benefits of P. radix have been found across various diseases. The utilization of umbilical cord stromal stem cells, derived from Wharton's jelly of the human umbilical cord, has emerged as a promising approach for treating degenerative diseases. Nevertheless, growing evidence indicates that the function of stem cells declines with age, thereby limiting their regenerative capacity. The primary objective in this study is to investigate the beneficial effects of P. radix in senescent stem cells. We conducted experiments to showcase that diminished levels of Lamin B1 and Sox‐2, along with an elevation in p21, which serve as indicative markers for the senescent stem cells. Our findings revealed the loss of Lamin B1 and Sox‐2, coupled with an increase in p21, in umbilical cord stromal stem cells subjected to a low‐dose (0.1 μM) doxorubicin (Dox) stimulation. However, P. radix restored the Dox‐damage in the umbilical cord stromal stem cells. P. radix reversed the senescent conditions when the umbilical cord stromal stem cells exposed to Dox‐induced reactive oxygen species (ROS) and mitochondrial membrane potential are significantly changed. In Dox‐challenged aged umbilical cord stromal stem cells, P. radix reduced senescence, increased longevity, prevented mitochondrial dysfunction and ROS and protected against senescence‐associated apoptosis. This study suggests that P. radix might be as a therapeutic and rescue agent for the aging effect in stem cells. Inhibition of cell death, mitochondrial dysfunction and aging‐associated ROS with P. radix provides additional insights into the underlying molecular mechanisms.
Detection of metallic pollutants in waste water using bio sensors and its remediation
Authors: Talukder Pratik , Dutta Debankita , Ghosh Elija , Bose Indrani , Bhattacharjee Sourish , Mishra Meghna , Sinha Baishakhi 
Published: April 2024

AbstractWater pollution has emerged as the biggest threat to the sustenance of human civilization and the environment. With the increase in rapid industrialization and urbanization, there is a considerable increase in the influx of complex and diverse pollutants in water bodies. Hence continuous and efficient monitoring is required to detect the pollutants in the aquatic environment. Either preventing or detecting and subsequent elimination of these pollutants is of utmost importance for the health of the aquatic ecosystem. Biosensors have proved to be efficient in detecting these pollutants in a better way as compared to other conventional methods. Sensors are devices that have the ability to detect changes in the physical, chemical, or biological domains and produce a signal that can be measured. The distinguisher element in it minimizes noise caused by other components in the analyte mixture by being able to detect a specific analyte or set of analytes. This current review is focused on the role of biosensors in detecting metallic pollutants in water bodies. It also discusses the process of remediation of metallic pollutants in the aquatic environment.
Outcomes of atypical lobular hyperplasia managed by active surveillance or immediate surgery
Authors: Han Lynn K. , Lee Joyce , Dodelzon Katerina , Towne William S. , Zhou Xi Kathy , Ginter Paula S. , Marti Jennifer L. 
Published: April 2024

AbstractBackgroundAtypical lobular hyperplasia (ALH) is typically diagnosed via needle core biopsy (NCB) and is commonly removed surgically in light of upgrade to malignancy rates of 1%–5%. As studies on radiographic outcomes of ALH managed by active surveillance (AS) are limited, we investigated the upgrade rates of surgically excised ALH as well as radiographic progression during AS.MethodsIn this retrospective study, 125 patients with 127 ALH lesions diagnosed via NCB at Weill Cornell Medicine from 2015 to 2021 were included. The upgrade rate to cancer was determined for patients who had surgical management ≤6 months after biopsy. Among patients with ALH managed by AS, we investigated radiographic progression on 6‐month interval imaging.ResultsOf 127 ALH lesions, 75% (n = 95) were immediately excised and 25% (n = 32) were observed under AS. The upgrade rate of immediately excised ALH was 2.1% (n = 2; invasive ductal carcinoma [IDC], T1N0 and IDC, and T1Nx). In the AS cohort, no ALH lesions progressed radiographically during the follow‐up period of 22.5 months (median), with all remaining stable (50%, n = 16), resolving (47%, n = 15), or decreasing in size (3%, n = 1).ConclusionsIn this study, NCB‐diagnosed ALH had a low upgrade to malignancy rate (2.1%), and no ALH lesions managed by AS progressed radiographically during the follow‐up period of 22.5 months. These results support AS as the favorable option for patients with pure ALH on biopsy, with surgical excision for lesions that progress on surveillance.
Diagnosis and treatment of epiploic appendagitis in a Middle Eastern country: An observational retrospective analysis of 156 cases
Authors: El‐Menyar Ayman , Naqvi Syed G. A. , Al‐Yahri Omer , Abusal Abdelaziz MA , Al‐Shaikhli Abdulwahhab , Sajid Sadia , Abdelrahman Husham , Kloub Ahmad G. , Ibnas Muhamed , Latifi Rifat , Toble Yasser M. R. , Al‐Thani Hassan 
Published: April 2024

AbstractBackgroundEpiploic appendagitis (EPA) is an uncommon emergency surgical condition that causes acute abdominal pain, rendering a list of differential diagnoses. Therefore, careful examination and imaging tools are required. EPA is a self‐limiting condition that can be resolved in 1–2 weeks and rarely needs surgical intervention. Its low incidence makes EPA less well‐known among the public and some medical professionals, and it is frequently under‐diagnosed. We aimed to explore the incidence, clinical presentation, modalities of imaging to diagnose and options for treating EPA.MethodsAn observational retrospective analysis was conducted between 2016 and 2022 at a tertiary hospital in an Arab Middle Eastern country.ResultsThere were 156 EPA cases diagnosed over six years, with a mean age of 33 years. Males represented 82% of the cohort. The entire cohort was treated non‐operatively except for eight patients who had surgical intervention using open or laparoscopic surgery. The diagnosis was made by a computerized tomographic scan (CT). However, plain X‐ray, abdominal ultrasound, and magnetic resonance imaging (MRI) were performed initially in a few selected cases to rule out other conditions. No specific blood test indicated EPA; however, a histopathology examination was diagnostic. No mortality was reported in the study cohort.ConclusionThis is the most extensive study analyzing EPA patients from the Middle East. EPA is a rare and mostly self‐limiting acute abdominal disorder; however, early ultrasound and CT scan can pick it up quickly after a high index of suspicion.
Using imaging modalities to predict nanoparticle distribution and treatment efficacy in solid tumors: The growing role of ultrasound
Authors: Cooley Michaela B. , Wegierak Dana , Exner Agata A. 
Published: April 2024

AbstractNanomedicine in oncology has not had the success in clinical impact that was anticipated in the early stages of the field's development. Ideally, nanomedicines selectively accumulate in tumor tissue and reduce systemic side effects compared to traditional chemotherapeutics. However, this has been more successful in preclinical animal models than in humans. The causes of this failure to translate may be related to the intra‐ and inter‐patient heterogeneity of the tumor microenvironment. Predicting whether a patient will respond positively to treatment prior to its initiation, through evaluation of characteristics like nanoparticle extravasation and retention potential in the tumor, may be a way to improve nanomedicine success rate. While there are many potential strategies to accomplish this, prediction and patient stratification via noninvasive medical imaging may be the most efficient and specific strategy. There have been some preclinical and clinical advances in this area using MRI, CT, PET, and other modalities. An alternative approach that has not been studied as extensively is biomedical ultrasound, including techniques such as multiparametric contrast‐enhanced ultrasound (mpCEUS), doppler, elastography, and super‐resolution processing. Ultrasound is safe, inexpensive, noninvasive, and capable of imaging the entire tumor with high temporal and spatial resolution. In this work, we summarize the in vivo imaging tools that have been used to predict nanoparticle distribution and treatment efficacy in oncology. We emphasize ultrasound imaging and the recent developments in the field concerning CEUS. The successful implementation of an imaging strategy for prediction of nanoparticle accumulation in tumors could lead to increased clinical translation of nanomedicines, and subsequently, improved patient outcomes.This article is categorized under:
Diagnostic Tools In Vivo Nanodiagnostics and Imaging
Therapeutic Approaches and Drug Discovery Nanomedicine for Oncologic Disease
Therapeutic Approaches and Drug Discovery Emerging Technologies
Teilhabe
Authors: Albrecht Joanna , Hüning Nadine 
Published: April 2024

ZusammenfassungDie gesellschaftliche und politische Relevanz des Themas Teilhabe von MB lässt sich an geltenden nationalen und internationalen Rechtsansprüchen und Verpflichtungen festmachen. Gemäß dem ICF-Modell der WHO (2005) stützt sich die UN-BRK auf den Begriff Behinderung als Teilhabebeeinträchtigung. Ein Prinzip der Konvention ist die „volle und wirksame Teilhabe an der Gesellschaft und Einbeziehung in die Gesellschaft“.
Revealing the landscape of globally color-dual multi-loop integrands
Authors: Edison Alex , Mangan James , Pavao Nicolas H. 
Published: April 2024

Abstract
We report on progress in understanding how to construct color-dual multi-loop amplitudes. First we identify a cubic theory, semi-abelian Yang-Mills, that unifies many of the color-dual theories studied in the literature, and provides a prescriptive approach for constructing D-dimensional color-dual numerators through one-loop directly from Feynman rules. By a simple weight counting argument, this approach does not further generalize to two-loops. As a first step in understanding the two-loop challenge, we use a D-dimensional color-dual bootstrap to successfully construct globally color-dual local two-loop four-point nonlinear sigma model (NLSM) numerators. The double-copy of these NLSM numerators with themselves, pure Yang-Mills, and $$\mathcal{N}$$ = 4 super-Yang-Mills correctly reproduce the known unitarity constructed integrands of special Galileons, Born-Infeld theory, and Dirac-Born-Infeld-Volkov-Akulov theory, respectively. Applying our bootstrap to two-loop four-point pure Yang-Mills, we exhaustively search the space of local numerators and find that it fails to satisfy global color-kinematics duality, completing a search previously initiated in the literature. We pinpoint the failure to the bowtie unitarity cut, and discuss a path forward towards non-local construction of color-dual integrands at generic loop order.