bluuebunny/crossref_metadata_2025_split huggingface dataset:
The regulatory effect of hyaluronan on human mesenchymal stem cells’ fate modulates their interaction with cancer cells in vitro
Authors: Vogeley Christian , Degistirici Özer , Twarock Sören , Wladarz Jessica , Reiners Oliver , Gorges Tobias , Fischer Jens W. , Meisel Roland , Gorges Katharina 
Published: October 2021

AbstractMetastatic spread of cancer cells into a pre-metastatic niche is highly dependent on a supporting microenvironment. Human bone marrow-derived mesenchymal stem cells (bmMSCs) contribute to the tumor microenvironment and promote cancer metastasis by inducing epithelial-to-mesenchymal transition and immune evasion. The underlying mechanisms, however, are incompletely understood. The glycosaminoglycan hyaluronan (HA) is a central component of the extracellular matrix and has been shown to harbor pro-metastatic properties. In this study we investigated the highly disseminating breast cancer and glioblastoma multiforme cell lines MDA-MB-321 and U87-MG which strongly differ in their metastatic potential to evaluate the impact of HA on tumor promoting features of bmMSC and their interaction with tumor cells. We show that adipogenic differentiation of bmMSC is regulated by the HA-matrix. This study reveals that MDA-MB-231 cells inhibit this process by the induction of HA-synthesis in bmMSCs and thus preserve the pro-tumorigenic properties of bmMSC. Furthermore, we show that adhesion of MDA-MB-231 cells to bmMSC is facilitated by the tumor cell-induced HA-rich matrix and is mediated by the HA-receptor LAYN. We postulate that invasive breast cancer cells modulate the HA-matrix of bmMSC to adapt the pre-metastatic niche. Thus, the HA-matrix provides a potential novel therapeutic target to prevent cancer metastasis.
Vestiges of underplating and assembly in the central North China Craton based on S-wave velocities
Authors: Tian Haoyu , He Chuansong 
Published: October 2021

AbstractThe destruction of the North China Craton (NCC) is a controversial topic among researchers. In particular, the crustal structure associated with the craton’s destruction remains unclear, even though a large number of seismic studies have been carried out in this area. To investigate the crustal structure and its dynamic implications, we perform noise tomography in the central part of the NCC. In this study, continuous vertical-component waveforms spanning one year from 112 broadband seismic stations are used to obtain the group velocity dispersion curves of Rayleigh waves at different periods, and surface wave tomography is employed to extract the Rayleigh wave group velocity distributions at 9–40 s. Finally, the S-wave velocity structure at depths of 0–60 km is determined by the inversion of pure-path dispersion data. The results show obvious differences in the crustal structure among the Western Block (WB), the Trans-North China Orogen (TNCO) and the Eastern Block (EB). The lower crust of the northern part of the EB exhibits a high-velocity S-wave anomaly, which may be related to magmatic underplating in the lower crust induced by an upwelling mantle plume. The S-wave velocity of the WB is lower than that of the TNCO in the upper and middle crust and is lower than that of both the TNCO and the EB in the lower crust. The crust of the TNCO shows higher S-wave velocities than the WB and EB in the upper and middle crust, and its overall S-wave velocity structure is clearly different from those of the WB and EB, implying that the crustal structure of the TNCO may contain vestiges of the Paleoproterozoic collision between the WB and EB and their subsequent assembly. This study marks the first time these findings are identified for the NCC.
Effects of bee venom and dopamine-loaded nanoparticles on reserpine-induced Parkinson’s disease rat model
Authors: Ahmed-Farid Omar A. , Taha Mohamed , Bakeer Rofanda M. , Radwan Omyma K. , Hendawy Hassan A. M. , Soliman Ayman S. , Yousef Einas 
Published: October 2021

AbstractParkinson’s disease (PD) is a progressive chronic neurodegenerative condition characterized by the loss of dopaminergic neurons within the substantia nigra. Current PD therapeutic strategies are mainly symptomatic and can lead to motor complications overtime. As a result, alternative medicine may provide an effective adjuvant treatment for PD as an addition to or as a replacement of the conventional therapies. The aim of this work was to evaluate the effects of Bee Venom (BV) and dopamine (DA)-loaded nanoparticles in a reserpine-induced animal model of PD. After inducing PD with reserpine injection, different groups of male rats were treated with L-Dopa, BV, DA-nanoparticles. Our findings showed that BV and DA-nanoparticles administration restored monoamines, balanced glutamate/GABA levels, halted DNA fragmentation, decreased pro-inflammatory mediators (IL-1β and TNF-α), and elevated anti-inflammatory mediators (PON1) and neurotropic factor (BDNF) levels in comparison with conventional therapy of PD. Furthermore, in a reserpine-induced PD rat model, the ameliorative effects of BV were significantly superior to that of DA-nanoparticles. These findings imply that BV and DA-nanoparticles could be useful as adjuvant treatments for PD.
Socioeconomic differences and persistent segregation of Italian territories during COVID-19 pandemic
Authors: Bonaccorsi Giovanni , Pierri Francesco , Scotti Francesco , Flori Andrea , Manaresi Francesco , Ceri Stefano , Pammolli Fabio 
Published: October 2021

AbstractLockdowns implemented to address the COVID-19 pandemic have disrupted human mobility flows around the globe to an unprecedented extent and with economic consequences which are unevenly distributed across territories, firms and individuals. Here we study socioeconomic determinants of mobility disruption during both the lockdown and the recovery phases in Italy. For this purpose, we analyze a massive data set on Italian mobility from February to October 2020 and we combine it with detailed data on pre-existing local socioeconomic features of Italian administrative units. Using a set of unsupervised and supervised learning techniques, we reliably show that the least and the most affected areas persistently belong to two different clusters. Notably, the former cluster features significantly higher income per capita and lower income inequality than the latter. This distinction persists once the lockdown is lifted. The least affected areas display a swift (V-shaped) recovery in mobility patterns, while poorer, most affected areas experience a much slower (U-shaped) recovery: as of October 2020, their mobility was still significantly lower than pre-lockdown levels. These results are then detailed and confirmed with a quantile regression analysis. Our findings show that economic segregation has, thus, strengthened during the pandemic.
Predictive usefulness of RT-PCR testing in different patterns of Covid-19 symptomatology: analysis of a French cohort of 12,810 outpatients
Authors:   The AP-HP/Universities/Inserm COVID-19 Research Collaboration,   Writing Committee, Apra Caroline , Caucheteux Charlotte , Mensch Arthur , Mansour Jenny , Bernaux Mélodie , Dechartres Agnès , Debuc Erwan , Lescure Xavier , Dinh Aurélien , Yordanov Youri , Jourdain Patrick ,   Data Science Committee, Mensch Arthur , Caucheteux Charlotte , Apra Caroline , Mansour Jenny , Paris Nicolas , Gramfort Alexandre ,   Scientific Committee, Aime-Eusebi Amélie , Apra Caroline , Bleibtreu Alexandre , Debuc Erwan , Dechartres Agnès , Deconinck Laurène , Dinh Aurélien , Jourdain Patrick , Katlama Christine , Lebel Josselin , Lescure François-Xavier , Yordanov Youri ,   Covidom Regional Center Steering Committee, Artigou Yves , Banzet Amélie , Boucheron Elodie , Boudier Christiane , Buzenac Edouard , Chapron Marie-Claire , Chekaoui Dalhia , De Bastard Laurent , Debuc Erwan , Dinh Aurélien , Grenier Alexandre , Haas Pierre-Etienne , Hody Julien , Jarraya Michèle , Jourdain Patrick , Lacaille Louis , Le Guern Aurélie , Leclert Jeremy , Male Fanny , Marchand-Arvier Jerôme , Martin-Blondet Emmanuel , Nassour Apolinne , Ourahou Oussama , Penn Thomas , Ribardiere Ambre , Robin Nicolas , Rouge Camille , Schmidt Nicolas , Villie Pascaline 
Published: October 2021

AbstractReverse transcriptase polymerase chain reaction (RT-PCR) is a key tool to diagnose Covid-19. Yet it may not be the most efficient test in all patients. In this paper, we develop a clinical strategy for prescribing RT-PCR to patients based on data from COVIDOM, a French cohort of 54,000 patients with clinically suspected Covid-19, including 12,810 patients tested by RT-PCR. We use a machine-learning algorithm (decision tree) in order to predict RT-PCR results based on the clinical presentation. We show that symptoms alone are sufficient to predict RT-PCR outcome with a mean average precision of 86%. We identify combinations of symptoms that are predictive of RT-PCR positivity (90% for anosmia/ageusia) or negativity (only 30% of RT-PCR+ for a subgroup with cardiopulmonary symptoms): in both cases, RT-PCR provides little added diagnostic value. We propose a prescribing strategy based on clinical presentation that can improve the global efficiency of RT-PCR testing.
Speech Therapy Telepractice Services in Fiji: A Multicultural Experience for Graduate Student Clinicians
Authors: Walker Judy P. , Richards MaryBeth , Budway Emma 
Published: October 2021

Purpose:
The University of Maine Speech Therapy Telepractice Program provides speech therapy telepractice services to children with communication disorders at the International School Suva (ISS), Fiji. This partnership has fostered international engagement and multicultural experiences for graduate student clinicians in the Department of Communication Sciences and Disorders while filling a need for speech therapy services in Fiji. Despite infrastructure, scheduling, and COVID-19 issues, the benefits of this partnership have far outweighed the challenges. Clinical observations of the ISS children's responses have revealed excellent progress toward achieving therapy goals. Parents and school personnel have also reported a high degree of satisfaction with our services. The program has encouraged our graduate students to be resilient, out-of-the-box thinkers as they research a variety of multicultural issues and apply this new knowledge to the clinical programs of their clients.

Conclusions:
This article highlights the partnership between The University of Maine, Speech Therapy Telepractice Training Program and the ISS, Fiji, as an example for other academic programs that are interested in establishing international telepractice partnerships. A description of the telepractice clinical procedures and technology for service provision at the ISS is included, along with a discussion of the challenges and benefits for providing international speech therapy telepractice services. Two case examples illustrate the complexity of providing services to multilingual children with different cultural backgrounds.
A risk‐based multi‐step corrective control method for mitigation of cascading failures
Authors: Liu Yumeng , Wang Tao , Gu Xueping 
Published: October 2021

AbstractMinimizing the risk of cascading failures in a power system is vital to balance the operational economy and security. A multi‐step corrective control (MSCC) method is proposed to mitigate cascading effects in terms of reducing risk of blackout by considering the multi‐step propagation characteristics of cascading failures caused by overload. Based on fault chain model and the DC power flow equation, the dynamic interaction between the process of cascading failures and control schemes is first discussed. The corrective control problem is then expressed as a multi‐step decision‐making optimisation problem based on the defined risk indices. The MSCC model with flexibility of control timing is designed by optimizing probability weighting expected cost and overload risk of cascading failure. In this control method, generation re‐scheduling and load shedding are selected as the main remedial actions, and a multi‐layer coding genetic algorithm is employed to obtain the optimal remedial control schemes. The numerical results indicate that control schemes generated by the proposed method could mitigate the cascading failures and result in better performance than non‐recurring corrective control (NCC) in terms of economy and operational risk.
Enabling hybrid energy storage systems in VSC‐based MTDC grids for decentralized fast frequency response control in low‐inertia AC/DC systems
Authors: Shadabi Hamed , Kamwa Innocent 
Published: October 2021

AbstractThis paper studies the hybrid energy storage system to provide frequency support for the interconnected AC grid through MTDC systems interfacing renewable resources. A hybrid energy storage structure was created using a supercapacitor (SC) and battery storage systems (BESs). To coordinate the sharing of power between SC and BESS, an improved droop controller based on virtual inductance, capacitance, and resistance gain (VICRC) is suggested. Meanwhile, the droop controller's steady‐state deviation of the DC link voltage is immediately suppressed. The SC will be in charge of compensating the high‐frequency demand, whereas the BESS will be in charge of compensating the low‐frequency power demand, thanks to a decentralized energy management process. In addition, the suggested method aids in the rehabilitation of the SC's SOC. Finally, the simulation results with detailed models of the wind farms and AC–DC grid converters are performed on IEEE tests systems in Simulink/SPS and the results extensively discussed to evaluate the proposed structure.
LESC: Superpixel cut‐based local expansion for accurate stereo matching
Authors: Cheng Xianjing , Zhao Yong , Yang Wenbang , Hu Zhijun , Yu Xiaomin , Sang Haiwei , Zhang Guiying 
Published: October 2021

AbstractThe rapid estimation of the accurate disparity between pixels is the goal of stereo matching. However, it is very difficult for the 3D labels‐based methods due to huge search space of 3D labels, especially for high‐resolution images. In this paper, a novel superpixel cut‐based method is proposed, in an attempt to get the accurate disparity map efficiently, including the multi‐layer superpixel optimization and iteractive local ‐expansion in parallel. As for the multi‐layer superpixel optimization, feature point optimization is designed to get accurate candidate labels that are set for most pixels using non‐local cost aggregation strategy and update per‐pixel labels of the corresponding superpixels from the candidate label sets on the small‐size superpixel layer, and then update the middle to large‐size superpixel layers progressively using non‐local cost aggregation strategy. In order to provide more prior information to identify weak texture and textureless regions in non‐local cost aggregation, the weight combination of “intensity + gradient + binary image” is proposed for constructing an optimal minimum spanning tree (MST) to calculate the aggregated matching cost and obtain the labels of minimum aggregated matching cost. Moreover, the local patch surrounding the corresponding superpixels is designed to accelerate superpixel optimization in parallel, and a neighborhood structure is presented to optimize the algorithm in this study, including superpixel neighborhood and patch neighborhood. As for the iteractive local ‐expansion, three layers of patch structure corresponding to the superpixel neighborhood structure is proposed for optimizing the algorithm in this study. The experimental results show that higher accuracy could be achieved via the method in this study compared with some known state‐of‐the‐art stereo methods on KITTI 2015 and Middlebury benchmark V3, which are the standard benchmarks for testing the stereo matching methods.
Dyadic Green's function of partially filled graphene‐loaded rectangular waveguides
Authors: Lotfalizadeh Hamed , Ghaffari‐Miab Mohsen 
Published: October 2021

AbstractIn this study, dyadic Green's functions (DGFs) for a partially filled rectangular waveguide in the presence of a graphene layer is derived in closed form using the Ohm‐Rayleigh method and the method of scattering superposition. Having DGFs of a linear medium, the response of the structure to any arbitrary current distribution can be achieved. In this work, after a brief review on governing equations for graphene conductivity, the electric fields of the structure due to infinitesimal electric dipoles are obtained using the proposed DGFs in closed form. To show the efficiency and accuracy of the proposed method, the results are compared with the simulation results of commercial software, where excellent agreement is observed.
Phase curves of small bodies from the SLOAN Moving Objects Catalog
Authors: Alvarez-Candal A. , Benavidez P. G. , Campo Bagatin A. , Santana-Ros T. 
Published: October 2021

Context. Extensive photometric surveys continue to produce enormous stores of data on small bodies. These data are typically sparsely obtained at arbitrary (or unknown) rotational phases. Therefore, new methods for processing such data need to be developed to make the most of these vast catalogs.
Aims. We aim to produce a method of recreating the phase curves of small bodies by considering the uncertainties introduced by the nominal errors in the magnitudes and the effect introduced by rotational variations. We use the SLOAN Moving Objects Catalog data as a benchmark to construct phase curves of all small bodies in u′, g′, r′, i′, and z′ filters. From the phase curves, we obtain the absolute magnitudes and we use them to set up the absolute colors, which are the colors of the asteroids that are not affected by changes in the phase angle.
Methods. We selected objects with ≥3 observations taken in at least one filter and spanning over a minimum of 5 degrees in the phase angle. We developed a method that combines Monte Carlo simulations and Bayesian inference to estimate the absolute magnitudes using the HG12* photometric system.
Results. We obtained almost 15 000 phase curves, with about 12 000 of these including all five filters. The absolute magnitudes and absolute colors are compatible with previously published data that support our method.
Conclusions. The method we developed is fully automatic and well suited for a run based on large amounts of data. Moreover, it includes the nominal uncertainties in the magnitudes and the whole distribution of possible rotational states of the objects producing what are possibly less precise values, that is, larger uncertainties, but more accurate, namely, closer to the actual value. To our knowledge, this work is the first to include the effect of rotational variations in such a manner.
Orbital and atmospheric parameters of two wide O-type subdwarf binaries: BD−11o162 and Feige 80
Authors: Molina Francisco , Vos Joris , Németh Péter , Østensen Roy , Vuković Maja , Tkachenko Andrew , van Winckel Hans 
Published: October 2021

Context. There are 23 long-period binary systems discovered to date that contain a B-type hot subdwarf whose orbital parameters have been fully solved. They evolve into O-type subdwarfs (sdO) once the helium burning transitions from the core to the He shell. Their study will help constraint parameters on the formation and evolution of these binaries and explain some of their puzzling features.
Aims. In this study, we aim to solve orbital and atmospheric parameters of two long-period sdO binaries and, for the first time, investigate the chemical composition of their main-sequence (MS) companions.
Methods. HERMES high-resolution spectra are used to obtain radial velocities and solve their orbits. The GSSP code is used to derive the atmospheric parameters and photospheric chemical abundances of the MS companions. Stellar evolution models (MIST) are fitted to the companion atmospheric parameters to derive masses.
Results. The orbital and atmospheric parameters have been fully solved. Masses of the companions and the sdOs were obtained. The photospheric chemical abundances of the MS stars for elements with available lines in the optical range have been derived. They match general trends expected from Galactic chemical evolution but show a depletion of yttrium in both systems and an enrichment of carbon in the BD−11o162 MS.
Conclusions. In the bimodal period-eccentricity diagram, the orbital parameters indicate that Feige 80 matches the same correlation as the majority of the systems. The analysis suggests that Feige 80 has a canonical subdwarf mass and followed a standard formation channel. However, BD−11o162 is an exceptional system with a lower mass. It also shows a C overabundance, which could be caused by a higher progenitor mass. The Y depletion in the MS companions could indicate the existence of a circumbinary disk in these systems’ pasts. Nevertheless, a chemical analysis of a larger sample is necessary to draw strong conclusions.
Genetic characterization and zoonotic potential of Blastocystis from wild animals in Sichuan Wolong National Natural Reserve, Southwest China
Authors: Chen Shanyu , Meng Wanyu , Zhou Ziyao , Deng Lei , Shi Xiaogang , Chai Yijun , Liu Haifeng , Cheng Yuehong , Zhong Zhijun , Fu Hualin , Shen Liuhong , Zhang Kun , He Tingmei , Peng Guangneng 
Published: October 2021

Blastocystis is a prevalent eukaryotic parasite that has been identified in a wide range of hosts. Several species are considered potential sources of Blastocystis infection in humans, but little is known about the prevalence of Blastocystis in wild animals. In this study, the prevalence and subtypes of Blastocystis were investigated to assess the zoonotic potential of wild animals in Sichuan Wolong National Natural Reserve. A total of 300 fecal samples were collected from 27 wildlife species in three areas of the Reserve. The subtype (ST), genetic characteristics, and prevalence of Blastocystis were determined by PCR amplification of part (~600 bp) of the SSU rRNA gene. Thirty fecal samples (10.0%) were Blastocystis-positive. The highest prevalence of Blastocystis was found in Yinchanggou (18.3%), with significantly less found in Niutoushan (7.5%) and Genda (5.5%) (p < 0.05). No significant differences were associated with different orders of animals in prevalence, which may be because of the small number of positive samples obtained. Sequence analysis showed five subtypes (ST1, ST3, ST5, ST13, and ST14), with ST13 and ST14 being predominant (33% each), followed by ST1 (20%). This is the first molecular investigation of Blastocystis infection in the wild animals of southwestern China. Subtypes ST1, ST3, ST5, and ST14 have previously been identified in humans, suggesting that wild animals may be potential reservoirs of Blastocystis for humans.
Perioperatives Management psychiatrischer und neurologischer Dauermedikation
Authors: Bischoff Melanie , Redel Andreas 
Published: October 2021

ZusammenfassungEtwa ein Drittel aller Patienten, die sich einem operativen Eingriff unterziehen, nehmen chronisch Psychopharmaka ein. Neben Depressionen und Psychosen stellen chronische Schmerzen sowie Angst- und Panikstörungen die häufigsten Indikationen dar. In den vergangenen 30 Jahren stieg die Häufigkeit der Verordnung von Psychopharmaka um das 7-Fache. Fast alle Psychopharmaka interagieren mit Medikamenten, die perioperativ häufig gegeben werden, beispielsweise mit 5-HT3-Antagonisten, Sympathomimetika oder Opioiden. Einige der Medikamente weisen eine enge therapeutische Breite auf und nicht alle Medikamente können perioperativ pausiert werden. Im Rahmen der präoperativen Risikoevaluation ist daher eine Prüfung im Einzelfall notwendig. Der Anästhesist muss zudem bei Gabe bestimmter Medikamente während der Narkose besondere Vorsicht walten lassen oder ganz auf diese verzichten.Bei der Therapie vieler neurologischer Erkrankungen stellen Medikamente die zentrale Säule dar. Häufig begegnen dem Anästhesisten Patienten mit einer Epilepsie, mit Morbus Parkinson oder mit einer Myasthenia gravis, die eine entsprechende medikamentöse Therapie erhalten. Das perioperative Pausieren der Medikamente lässt zumeist eine Befundverschlechterung der neurologischen Grunderkrankung befürchten. Auf die möglichst rasche postoperative Einnahme der Dauermedikation ist daher besonderer Wert zu legen.