bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial and temporal distribution of population in urban agglomerations changes in China
Authors: Lyu Yanming , Jiang Fangye 
Published: May 2022

AbstractThe spatial distribution of the urban agglomeration population has changed increasingly in rapid urbanization. It affects the urban economy, environment, transportation, and so on. Therefore, it is of great significance to understand the changes in the spatial distribution of population in urban agglomerations. This study used methods such as population center of gravity migration and Gini coefficient to explore changes in the spatial distribution of urban populations. The study found that the population center of the Beijing-Tianjin-Hebei urban agglomeration first migrated toward Beijing and then away from Beijing. During this process, the Gini coefficient increased from 0.62 to 0.64 and then decreased to 0.58, indicating that the population balance of the urban agglomeration firstly increased and then decreased. This result is consistent with the conclusion that we have established a simulated urban agglomeration for theoretical derivation. That is: in the early stage of urban agglomeration development, the population migrated to the central city; as the population of the central city became saturated, the urban agglomeration developed to a mature stage, and the population began to migrate to the peripheral cities. In this process, the population distribution center of urban agglomeration gradually shifted from central towns to peripheral towns. The degree of equilibrium in the spatial distribution of population has undergone an inverted u-shaped transition from non-equilibrium to equilibrium.
Complex spatial light modulation capability of a dual layer in-plane switching liquid crystal panel
Authors: Jang Seong-Woo , Choi Wonwoo , Kim Soobin , Lee Jonghyun , Na Sehwan , Ham Sangwon , Park Juseong , Kang Hoon , Ju Byeong-Kwon , Kim Hwi 
Published: May 2022

AbstractComplex spatial light modulator (SLM), which can simultaneously control the amplitude and phase of light waves, is a key technology for wide-range of wave-optic technologies including holographic three-dimensional displays. This paper presents a flat panel complex spatial light modulator that consists of dual in-plane switching liquid crystal panels with double-degrees of freedom of voltage inputs. The proposed architecture features single-pixel level complex light modulation enabling complex light modulation in entire free space, which is most contrast to conventional macro-pixel based complex modulation techniques. Its complex light modulation capability is verified with theoretical simulation and experimental characterization, and a three-dimensional holographic image reconstruction without conjugate noise. It is believed that the proposed flat panel complex SLM can be an essential device for a wide range of advanced wave optic technologies.
Panx1 channels promote both anti- and pro-seizure-like activities in the zebrafish via p2rx7 receptors and ATP signaling
Authors: Whyte-Fagundes Paige , Taskina Daria , Safarian Nickie , Zoidl Christiane , Carlen Peter L. , Donaldson Logan W. , Zoidl Georg R. 
Published: May 2022

AbstractThe molecular mechanisms of excitation/inhibition imbalances promoting seizure generation in epilepsy patients are not fully understood. Evidence suggests that Pannexin1 (Panx1), an ATP release channel, modulates the excitability of the brain. In this report, we performed electrophysiological, behavioral, and molecular phenotyping experiments on zebrafish larvae bearing genetic or pharmacological knockouts of Panx1a and Panx1b channels, each homologous to human PANX1. When Panx1a function is lost, or both channels are under pharmacological blockade, seizures with ictal-like events and seizure-like locomotion are reduced in the presence of pentylenetetrazol. Transcriptome profiling by RNA-seq demonstrates a spectrum of distinct metabolic and cell signaling states which correlate with the loss of Panx1a. Furthermore, the pro- and anticonvulsant activities of both Panx1 channels affect ATP release and involve the purinergic receptor P2rx7. Our findings suggest a subfunctionalization of Panx1 enabling dual roles in seizures, providing a unique and comprehensive perspective to understanding seizure mechanisms in the context of this channel.
Combined physical confinement and chemical adsorption on co-doped hollow TiO2 for long-term cycle lithium–sulfur batteries
Authors: Zeng Shuaibo , Peng Jing , Liang Xinghua , Wu Xi , Zheng Haorong , Zhong Hai , Guo Tuan , Luo Shihan , Hong Jingyin , Li Yongyi , Wu Qiang , Xu Wei 
Published: May 2022

The co-dope hollow TiO2 sphere is achieved via sacrificial template and thermal treatment methods, which remarkably enhances performances of Li–S battery due to the chemical absorption and physical containment to soluble lithium polysulfides.
Commentary on: SMARCB1 as a novel diagnostic and prognostic biomarker for osteosarcoma
Authors: Sergi Consolato M. 
Published: May 2022

Abstract
In the last couple of decades, biomarkers have been on the rise for diagnostic and predictive value. There has been a rush to identify new markers using new technologies and drug repurposing approaches. SMARCB1 acronym arises from the SWI/SNF (SWItch/Sucrose Non-Fermentable)-related Matrix-associated Actin-dependent Regulator of Chromatin subfamily B member 1 (SMARCB1). It is a molecule, whose role is associated with the sucrose metabolism. SMARCB1 is also called INI1 (Integrase Interactor 1). The molecule was discovered in the mid-1990s. Its role as a loss-of-function marker for malignant rhabdoid tumors (MRT) of renal and extrarenal origin has enormously expanded the spectrum of involved neoplasms since that time. Several tumors have been characterized by genetic aberrations in the SMARCB1 gene. They include reduction in expression, loss of expression, and mosaic expression. Most of the tumors are sarcomas, but a variegated group of tumors with mixed phenotypes has also been delineated. It is well known that the outcome of patients harboring genetic aberrations in the SMARCB1 gene has been poor. Guo et al. reported that reduced SMARCB1 expression occurred in 70% of osteosarcomas. Their data significantly correlated with poor neoadjuvant response. These authors emphasize a shorter progression-free and overall survival of the patients demonstrating an altered expression of this gene. Interestingly, mRNA in silico analysis established that SMARCB1 expression correlates with the response to chemotherapy of osteosarcoma patients, but there was no reliable correlation between SMARCB1 expression level and metastasis, response to neoadjuvant therapy, overall survival, and progression-free survival. The study involved a tissue microarray (TMA) on bone tumors that may limit the full evaluation of the gene expression. Nevertheless, Guo et al.’s study is remarkable. It expands the list of the tumors harboring an altered SMARCB1 gene expression and suggests that this marker should be investigated in every pathology workup for potential predictive value. On the other side, much work needs to be done if we hope that we strive to provide additional therapeutic strategies for osteosarcoma patients with altered SMARCB1 gene expression.
Development of internal standard for lipoprotein subclass analysis using dual detection gel-permeation high-performance liquid chromatography system
Authors: Ogino Mei , Kameda Takahiro , Mutsuda Yume , Tanaka Hideko , Takahashi Junichiro , Okazaki Mitsuyo , Ai Masumi , Ohkawa Ryunosuke 
Published: May 2022

Abstract
The LipoSEARCH® System is an innovative lipoprotein class analysis method based on gel-permeation high-performance liquid chromatography (HPLC). This system uses a gel permeation column to separate the major lipoprotein subclasses (chylomicron, very low-density lipoprotein, low-density lipoprotein, and high-density lipoprotein) in serum according to particle size and splits them into two pathways to measure total cholesterol (TC; esterified + unesterified cholesterol) and triglyceride (TG) concentrations simultaneously to obtain chromatograms for each.
These chromatograms were analyzed based on the results of the calibration serum by fitting Gaussian curves to profile the 20 lipoprotein subclasses defined in detail. An important assumption of this HPLC system is its simultaneous detection of two pathways to guarantee the accuracy of each analysis. Therefore, in the present study, we investigated the development of an internal standard that can guarantee the simultaneous detection of this system by adding a pigment to the serum. We focused on quinone pigments with absorption at 550 nm, which is the wavelength used for the enzymatic assay of TC and TG concentrations in the system. As a result, we succeeded in producing overlapping pigment peaks that appeared after the analytical chromatograms in two pathways. It is also suggested that the pigment solution as an internal standard is stable in freezing storage and has little effect on the analysis. The developed internal standard is expected to contribute to the accuracy assurance of lipoprotein analysis by this dual-detection HPLC system.
RIS‐assisted secure UAV communications with resource allocation and cooperative jamming
Authors: Guo Jichang , Yu Lisu , Chen Zhiqiong , Yao Yuanzhi , Wang Zhen , Wang Zhenghai , Zhao Qingmin 
Published: May 2022

AbstractUnmanned aerial vehicles (UAVs) are widely used in wireless communication networks due to their rapid deployment and high mobility. However, in practical scenarios, the existence of obstacles and eavesdroppers will seriously interfere with the communication quality of the UAV network and produce a security risk. Thus, this paper combines reconfigurable intelligent surface (RIS) technology with UAVs to build a secure UAV communication network. Normally, a rotary‐wing UAV (labeled as UAV‐S) acting as a base station sends information signals to a legitimate user on the ground with RIS equipment. However, there is a passive eavesdropper on the ground who can steal the information. Therefore, a friendly UAV jammer (labeled as UAV‐J) with a fixed location is introduced to send jamming signals to confuse the eavesdropper. The goal of this paper is to maximize the average secrecy rate of the communication network by jointly optimizing the flight trajectory, transmit power of the UAV‐S and UAV‐J, and phase shifter of the RIS. Since the constructed problem is highly nonconvex, an alternating optimization algorithm based on successive convex approximation techniques is proposed to solve the problem. Simulation results show that the proposed algorithm can achieve a higher secrecy rate in comparison with other schemes.
J-PLUS: Support vector regression to measure stellar parameters
Authors: Wang C. , Bai Y. , Yuan H. , Liu J. , Fernández-Ontiveros J. A. , Coelho P. R. T. , Jiménez-Esteban F. , Galarza C. A. , Angulo R. E. , Cenarro A. J. , Cristóbal-Hornillos D. , Dupke R. A. , Ederoclite A. , Hernández-Monteagudo C. , López-Sanjuan C. , Marín-Franch A. , Moles M. , Sodré L. , Ramió H. Vázquez , Varela J. 
Published: May 2022

Context. Stellar parameters are among the most important characteristics in studies of stars which, in traditional methods, are based on atmosphere models. However, time, cost, and brightness limits restrain the efficiency of spectral observations. The Javalambre Photometric Local Universe Survey (J-PLUS) is an observational campaign that aims to obtain photometry in 12 bands. Owing to its characteristics, J-PLUS data have become a valuable resource for studies of stars. Machine learning provides powerful tools for efficiently analyzing large data sets, such as the one from J-PLUS, and enables us to expand the research domain to stellar parameters.
Aims. The main goal of this study is to construct a support vector regression (SVR) algorithm to estimate stellar parameters of the stars in the first data release of the J-PLUS observational campaign.
Methods. The training data for the parameters regressions are featured with 12-waveband photometry from J-PLUS and are crossidentified with spectrum-based catalogs. These catalogs are from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope, the Apache Point Observatory Galactic Evolution Experiment, and the Sloan Extension for Galactic Understanding and Exploration. We then label them with the stellar effective temperature, the surface gravity, and the metallicity. Ten percent of the sample is held out to apply a blind test. We develop a new method, a multi-model approach, in order to fully take into account the uncertainties of both the magnitudes and the stellar parameters. The method utilizes more than 200 models to apply the uncertainty analysis.
Results. We present a catalog of 2 493 424 stars with the root mean square error of 160 K in the effective temperature regression, 0.35 in the surface gravity regression, and 0.25 in the metallicity regression. We also discuss the advantages of this multi-model approach and compare it to other machine-learning methods.
Discovery of recurrent flares of 6.7 GHz methanol maser emission in Cepheus A HW2
Authors: Durjasz M. , Szymczak M. , Olech M. , Bartkiewicz A. 
Published: May 2022

Context.Class II methanol masers at 6.7 GHz originate close to high-mass young stellar objects (HMYSOs). Their high sensitivity to local condition variations makes them a useful marker of the activity of the emerging massive stars.Aims.We aim to closely examine the variability of the 6.7 GHz CH3OH masers in Cep A HW2 using the new and archival single-dish and high-resolution Very-Long-Baseline Interferometry (VLBI) datasets.Methods.We monitored 6.7 GHz methanol masers towards the target between 2009 and 2021 using the Torun 32m radio telescope, and analysed nine datasets of VLBI observations taken over 16 yr.Results.Faint, extremely redshifted maser emission located close to the presumed central star position and coincident with the radio jet shows flaring activity with a period of ~5 yr. Flares have an asymmetric profile with a rise-to-decay time ratio of 0.18 and relative amplitude higher than 10. The velocity of the flaring cloudlets drifts at a rate of 3–4 × 10−5km s−1d−1for about 11.5 yr of the monitoring. The time-lag between the peaks of the two flaring features implies a propagation speed of the exciting factor of ~1000 km s−1. Synchronised and anticorrelated variations of the flux density of blue- and redshifted features begin ~2.5 yr after flares of the extremely redshifted emission.Conclusions.Our observations suggest that the recurrent flares are the response of low-gain unsaturated maser regions to a relatively low increase in luminosity, which has little effect on the behaviour of most maser regions of higher gain.
Erstellung einer deutschen Version des „Empty Nose Syndrome 6 Item Questionnaire“ (ENS6Q)
Authors: Lindemann Jörg , Goldberg-Bockhorn Eva , Stupp Franziska , Scheithauer Marc , Sieron Hannah Lara , Hoffmann Thomas K. , Sommer Fabian , Zimmermann Leonie 
Published: May 2022

Zusammenfassung
Hintergrund Der englischsprachige „Empty Nose 6-Item Questionnaire“ (ENS6Q) ist ein validierter Fragebogen und dient der Erfassung der subjektiven spezifischen Symptome von Patient*innen mit einem Empty-Nose-Syndrom (ENS). Bislang erfolgte die Validierung des Fragebogens in keiner weiteren Sprache. Das Ziel dieser Studie war es, eine validierte deutschsprachige Version des ENS6Q-Fragebogens zu erstellen.
Material und Methoden Der ENS6Q-Fragebogen wurde in einem mehrstufigen Prozess in die deutsche Sprache übersetzt. Die übersetzte Version wurde jeweils 2-mal von ENS-Patient*innen (n=36), von einer nasengesunden Gruppe (n=77) und von Patient*innen mit symptomatischer Septumpathologie (n=78) ausgefüllt. Zusätzlich wurde der NOSE©-Fragebogen ausgefüllt. Überprüft wurden die interne Konsistenz, Test-Retest-Reliabilität, Validität, Sensitivität sowie Spezifität.
Ergebnisse Der ENS6Q-GAV zeigte eine hohe interne Konsistenz mit einem Cronbachs α = 0,760 zum ersten und α = 0,795 zum zweiten Erhebungszeitpunkt. Es konnte eine ebenso gute Test-Retest-Reliabilität mit einem Intraklassen-Korrelationskoeffizient von 0,947 (0,930 – 0,961) gezeigt werden. Es bestand eine gute Diskriminationsvalidität zwischen der Fallgruppe und den nasengesunden Patient*innen. Die Receiver-Operating-Characteristics-Kurve zeigte bei einem Schwellenwert von 8,5 eine Sensitivität von 83,3% und eine Spezifität von 88,3%. Die Fläche unter der Kurve betrug 0,914 ± 0,029 (0,856 – 0,971).
Schlussfolgerungen Der ENS6Q-GAV-Fragebogen ist der erste in deutscher Sprache validierte krankheitsspezifische Fragebogen, um zuverlässig Patient*innen mit ENS-Symptomen zu identifizieren. Im Rahmen dieser Studie konnte eine zufriedenstellende Reliabilität, Validität, Sensitivität und Spezifität bestätigt werden.
Applied Clinical Informatics Journal: A Brief History
Authors: Lehmann Christoph U. , Ball Marion J. , Haux Reinhold , Lehmann Jenna S. 
Published: May 2022

AbstractIn 2009, Schattauer Verlag in Stuttgart, Germany first published the Applied Clinical Informatics (ACI) Journal. ACI has served since its inception as an official journal of the International Medical Informatics Association. Later, the American Medical Informatics Association and the European Federation for Medical Informatics named ACI as an official journal. This manuscript describes the history of the journal from its inception to present day including publication measures, challenges, and successes.
The behavior of methane–water mixtures under elevated pressures from simulations using many-body potentials
Authors: Robinson Victor Naden , Ghosh Raja , Egan Colin K. , Riera Marc , Knight Christopher , Paesani Francesco , Hassanali Ali 
Published: May 2022

Non-polarizable empirical potentials have been proven to be incapable of capturing the mixing of methane–water mixtures at elevated pressures. Although density functional theory-based ab initio simulations may circumvent this discrepancy, they are limited in terms of the relevant time and length scales associated with mixing phenomena. Here, we show that the many-body MB-nrg potential, designed to reproduce methane–water interactions with coupled cluster accuracy, successfully captures this phenomenon up to 3 GPa and 500 K with varying methane concentrations. Two-phase simulations and long time scales that are required to fully capture the mixing, affordable due to the speed and accuracy of the MBX software, are assessed. Constructing the methane–water equation of state across the phase diagram shows that the stable mixtures are denser than the sum of their parts at a given pressure and temperature. We find that many-body polarization plays a central role, enhancing the induced dipole moments of methane by 0.20 D during mixing under pressure. Overall, the mixed system adopts a denser state, which involves a significant enthalpic driving force as elucidated by a systematic many-body energy decomposition analysis.
Spatiotemporal dynamics of odor representations in the human brain revealed by EEG decoding
Authors: Kato Mugihiko , Okumura Toshiki , Tsubo Yasuhiro , Honda Junya , Sugiyama Masashi , Touhara Kazushige , Okamoto Masako 
Published: May 2022

Significance
To elucidate when and where in the brain different aspects of odor perception emerge, we decoded odors from an electroencephalogram and associated the results with perception and source activities. The odor information was decoded 100 ms after odor onset at the earliest, with its signal sources estimated in and around the olfactory areas. The neural representation of odor unpleasantness emerged 300 ms after odor onset, followed by pleasantness and perceived quality at 500 ms. During this time, brain regions representing odor information spread rapidly from the olfactory areas to regions associated with emotional, semantic, and memory processing. The results suggested that odor perception emerges through computations in these areas, with different perceptual aspects having different spatiotemporal dynamics.
An ancient founder mutation located betweenROBO1andROBO2is responsible for increased microtia risk in Amerindigenous populations
Authors: Quiat Daniel , Kim Seong Won , Zhang Qi , Morton Sarah U. , Pereira Alexandre C. , DePalma Steven R. , Willcox Jon A. L. , McDonough Barbara , DeLaughter Daniel M. , Gorham Joshua M. , Curran Justin J. , Tumblin Melissa , Nicolau Yamileth , Artunduaga Maria A. , Quintanilla-Dieck Lourdes , Osorno Gabriel , Serrano Luis , Hamdan Usama , Eavey Roland D. , Seidman Christine E. , Seidman J. G. 
Published: May 2022

SignificanceThe genetic basis of isolated microtia, a congenital abnormality of the external ear, is poorly understood. Indigenous American (Amerindigenous) populations have the highest reported incidence of microtia. Here, we use whole genome sequencing to study microtia in Latin American families and identify a common microtia risk allele that is enriched among individuals with Amerindigenous ancestry. This allele is located in a regulatory region governing the expression of Roundabout 1 (ROBO1) and Roundabout 2 (ROBO2) in induced pluripotent stem cell–derived neural crest cells and is associated with a complex repeat sequence. These results identify a shared genetic basis for isolated microtia and other craniofacial abnormalities and account for, at least in part, the increased incidence of microtia in Amerindigenous populations.
Revisiting the probe and enclosure methods
Authors: Ikehata Masaru 
Published: May 2022

Abstract
This paper is concerned with reconstruction issue of inverse obstacle problems governed by partial differential equations and consists of two parts. (i) The first part considers the foundation of the probe and enclosure methods for an impenetrable obstacle embedded in a medium governed by the stationary Schrödinger equation. Under a general framework, some natural estimates for a quantity computed from a pair of the Dirichlet and Neumann data on the outer surface of the body occupied by the medium are given. The estimates enables us to derive almost immediately the necessary asymptotic behaviour of indicator functions for both methods. (ii) The second one considers the realization of the enclosure method for a penetrable obstacle embedded in an absorbing medium governed by the stationary Schrödinger equation. The unknown obstacle considered here is modeled by a perturbation term added to the background complex-valued L
∞-potential. Under a jump condition on the term across the boundary of the obstacle and some kind of regularity for the obstacle surface including Lipschitz one as a special case, the enclosure method using infinitely many pairs of the Dirichlet and Neumann data is established.