bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Situ Regolith Seismic Velocity Measurement at the InSight Landing Site on Mars
Authors: Brinkman Nienke , Schmelzbach Cédric , Sollberger David , Pierick Jan ten , Edme Pascal , Haag Thomas , Kedar Sharon , Hudson Troy , Andersson Fredrik , van Driel Martin , Stähler Simon , Nicollier Tobias , Robertsson Johan , Giardini Domenico , Spohn Tilman , Krause Christian , Grott Matthias , Knollenberg Jörg , Hurst Ken , Rochas Ludovic , Vallade Julien , Blandin Steve , Lognonné Philippe , Pike W. Tom , Banerdt W. Bruce 
Published: September 2022

AbstractInterior exploration using Seismic Investigations, Geodesy and Heat Transport's (InSight) seismometer package Seismic Experiment for Interior Structure (SEIS) was placed on the surface of Mars at about 1.2 m distance from the thermal properties instrument Heat flow and Physical Properties Package (HP3) that includes a self‐hammering probe. Recording the hammering noise with SEIS provided a unique opportunity to estimate the seismic wave velocities of the shallow regolith at the landing site. However, the value of studying the seismic signals of the hammering was only realized after critical hardware decisions were already taken. Furthermore, the design and nominal operation of both SEIS and HP3 are nonideal for such high‐resolution seismic measurements. Therefore, a series of adaptations had to be implemented to operate the self‐hammering probe as a controlled seismic source and SEIS as a high‐frequency seismic receiver including the design of a high‐precision timing and an innovative high‐frequency sampling workflow. By interpreting the first‐arriving seismic waves as a P‐wave and identifying first‐arriving S‐waves by polarization analysis, we determined effective P‐ and S‐wave velocities of  m/s and  m/s, respectively, from around 2,000 hammer stroke recordings. These velocities likely represent bulk estimates for the uppermost several 10s of cm of regolith. An analysis of the P‐wave incidence angles provided an independent vP/vS ratio estimate of that compares well with the traveltime based estimate of . The low seismic velocities are consistent with those observed for low‐density unconsolidated sands and are in agreement with estimates obtained by other methods.
A Remote Sensing Driven Soil Moisture Estimator: Uncertain Downscaling With Geostatistically Based Use of Ancillary Data
Authors: Karamouz Mohammad , Alipour Reza Saleh , Roohinia Mahnoor , Fereshtehpour Mohammad 
Published: September 2022

AbstractIn recent years, remote sensing satellites, including Soil Moisture Active Passive (SMAP), continuously monitor SM of the earth. However, the spatial resolution of the remotely sensed SM is insufficient for some hydrological applications. In this paper, a data‐driven model is proposed based on a hybrid approach called artificial neural network kriging (ANNK) to capture the interaction between SM and ancillary data (AD), including normalized difference vegetation index (NDVI), altitude, slope, Antecedent Moisture Condition, AMC (5‐day cumulative precipitation), and daily air temperature (DAT)/land surface temperature (LST). By co‐regionalization of the estimated SM from the ANNK and SMAP 36‐km product, SM in any part of the study area is estimated more accurately and on a finer resolution (1‐km). Finally, through a linear relationship between in‐situ SM with the up‐to‐date AD including AMC (previous 5‐day cumulative precipitation), LST or DAT, slope, NDVI, and the downscaled satellite SM, the soil moisture estimates are adjusted by also adding an error term. Estimation of the final SM product in terms of the Unbiased Root Mean Square Error of less than 0.04 m3/m3 meets the accuracy requirements of the SMAP SM retrieval. Moreover, the results of SM validation show that the proposed technique has a potential for real‐time SM estimations in developing areas.
Giant mid-IR resonant coupling to molecular vibrations in sub-nm gaps of plasmonic multilayer metafilms
Authors: Arul Rakesh , Grys David-Benjamin , Chikkaraddy Rohit , Mueller Niclas S. , Xomalis Angelos , Miele Ermanno , Euser Tijmen G. , Baumberg Jeremy J. 
Published: September 2022

AbstractNanomaterials capable of confining light are desirable for enhancing spectroscopies such as Raman scattering, infrared absorption, and nonlinear optical processes. Plasmonic superlattices have shown the ability to host collective resonances in the mid-infrared, but require stringent fabrication processes to create well-ordered structures. Here, we demonstrate how short-range-ordered Au nanoparticle multilayers on a mirror, self-assembled by a sub-nm molecular spacer, support collective plasmon-polariton resonances in the visible and infrared, continuously tunable beyond 11 µm by simply varying the nanoparticle size and number of layers. The resulting molecule-plasmon system approaches vibrational strong coupling, and displays giant Fano dip strengths, SEIRA enhancement factors ~ 106, light-matter coupling strengths g ~ 100 cm−1, Purcell factors ~ 106, and mode volume compression factors ~ 108. The collective plasmon-polariton mode is highly robust to nanoparticle vacancy disorder and is sustained by the consistent gap size defined by the molecular spacer. Structural disorder efficiently couples light into the gaps between the multilayers and mirror, enabling Raman and infrared sensing of sub-picolitre sample volumes.
Optical coherence tomography—in situ and high-speed 3D imaging for laser materials processing
Authors: Wang Xiaodong , Yuan Xin , Shi Liping 
Published: September 2022

AbstractExploiting Fourier-domain optical coherence tomography, a high-speed and real-time inspection of multi-photon 3D laser printing has been reported. We expect that this technique can be further extended to single shot compressive 3D imaging for studying the ultrafast dynamics of laser-matter interaction.
Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock
Authors: Maciel-Guerra Alexandre , Baker Michelle , Hu Yue , Wang Wei , Zhang Xibin , Rong Jia , Zhang Yimin , Zhang Jing , Kaler Jasmeet , Renney David , Loose Matthew , Emes Richard D , Liu Longhai , Chen Junshi , Peng Zixin , Li Fengqin , Dottorini Tania 
Published: September 2022

AbstractA debate is currently ongoing as to whether intensive livestock farms may constitute reservoirs of clinically relevant antimicrobial resistance (AMR), thus posing a threat to surrounding communities. Here, combining shotgun metagenome sequencing, machine learning (ML), and culture-based methods, we focused on a poultry farm and connected slaughterhouse in China, investigating the gut microbiome of livestock, workers and their households, and microbial communities in carcasses and soil. For both the microbiome and resistomes in this study, differences are observed across environments and hosts. However, at a finer scale, several similar clinically relevant antimicrobial resistance genes (ARGs) and similar associated mobile genetic elements were found in both human and broiler chicken samples. Next, we focused on Escherichia coli, an important indicator for the surveillance of AMR on the farm. Strains of E. coli were found intermixed between humans and chickens. We observed that several ARGs present in the chicken faecal resistome showed correlation to resistance/susceptibility profiles of E. coli isolates cultured from the same samples. Finally, by using environmental sensing these ARGs were found to be correlated to variations in environmental temperature and humidity. Our results show the importance of adopting a multi-domain and multi-scale approach when studying microbial communities and AMR in complex, interconnected environments.
Pathological fear, anxiety and negative affect exhibit distinct neurostructural signatures: evidence from psychiatric neuroimaging meta-analysis
Authors: Liu Xiqin , Klugah-Brown Benjamin , Zhang Ran , Chen Huafu , Zhang Jie , Becker Benjamin 
Published: September 2022

AbstractInternalizing disorders encompass anxiety, fear and depressive disorders, which exhibit overlap at both conceptual and symptom levels. Given that a neurobiological evaluation is lacking, we conducted a Seed-based D-Mapping comparative meta-analysis including coordinates as well as original statistical maps to determine common and disorder-specific gray matter volume alterations in generalized anxiety disorder (GAD), fear-related anxiety disorders (FAD, i.e., social anxiety disorder, specific phobias, panic disorder) and major depressive disorder (MDD). Results showed that GAD exhibited disorder-specific altered volumes relative to FAD including decreased volumes in left insula and lateral/medial prefrontal cortex as well as increased right putamen volume. Both GAD and MDD showed decreased prefrontal volumes compared to controls and FAD. While FAD showed less robust alterations in lingual gyrus compared to controls, this group presented intact frontal integrity. No shared structural abnormalities were found. Our study is the first to provide meta-analytic evidence for distinct neuroanatomical abnormalities underlying the pathophysiology of anxiety-, fear-related and depressive disorders. These findings may have implications for determining promising target regions for disorder-specific neuromodulation interventions (e.g. transcranial magnetic stimulation or neurofeedback).
TIPE1 inhibits osteosarcoma tumorigenesis and progression by regulating PRMT1 mediated STAT3 arginine methylation
Authors: Yang Minghao , Zhang Yuzhu , Liu Guangping , Zhao Ziqian , Li Jigang , Yang Le , Liu Kui , Hu Wei , Lou Yunwei , Jiang Jie , Liu Qing , Zhao Peiqing 
Published: September 2022

AbstractOsteosarcoma (OS), the most common primary malignancy of the bone, has a poor prognosis due to its high mortality rate and high potential for metastasis. Thus, it is urgently necessary to explore functional molecular targets of therapeutic strategies for osteosarcoma. Here, we reported that TIPE1 expression was decreased in osteosarcoma tissues compared to normal and adjacent nontumor tissues, and its expression was negatively related to tumor stage and tumor size. Functional assays showed that TIPE1 inhibited osteosarcoma carcinogenesis and metastatic potential both in vivo and in vitro. Furthermore, we investigated that the STAT3 signaling pathway was significantly downregulated after TIPE1 overexpression. Mechanistically, TIPE1 bind to the catalytic domain of PRMT1, which deposits an asymmetric dimethylarginine (ADMA) mark on histone/non-histone proteins, and thus inhibited PRMT1 mediated STAT3 methylation at arginine (R) residue 688. This abolished modification decreased STAT3 transactivation and expression, by which subsequently suppressed osteosarcoma malignancy. Taken together, these data showed that TIPE1 inhibits the malignant transformation of osteosarcoma through PRMT1-mediated STAT3 arginine methylation and ultimately decreases the development and metastasis of osteosarcoma. TIPE1 might be a potential molecular therapeutic target and an early biomarker for osteosarcoma diagnosis.
Contactless manipulation of mixed phase fluids in liquid crystal polymer microtubes assisted with light-driven vortex
Authors: Lu Yao , Qin Lang , Liu Quan , Li Zichuan , Zhang Weijia , Zhu Chongyu , Yu Yanlei 
Published: September 2022

AbstractSmart channels that manipulate liquid motion by anisotropic shape changes represent a promising candidate to construct microfluidics for biochemical analysis. However, the existing systems fail to provide a platform for solid exchange mediums to interact with multiple liquid phases, which is a universal technique to effectively extract, enrich, and precisely detect biomarkers. Herein, a combined photo/magnetic control strategy of mixed phase fluids, which integrates the contactless operations of suspending, depositing, and even separating, is reported for the first time based on a trilayer microtube consisting of a flexible supporting layer, photodeformable liquid crystal polymer, and hydrophilic blocking layer. The asymmetric photodeformation of the liquid crystal polymer generates an internal vortex in the microtube to homogenously disperse solid exchange mediums into various aqueous moving droplets and to enable efficient purification and enrichment of the target biomarkers. A newly constructed homemade portable protein analyzer guided by the combined photo/magnetic control strategy features the advantages of a short detection time (20 min), trace sample consumption (5 μL), and a low detection limit (1 μg mL−1).
Accelerating ice flow at the onset of the Northeast Greenland Ice Stream
Authors: Grinsted Aslak , Hvidberg Christine S. , Lilien David A. , Rathmann Nicholas M. , Karlsson Nanna B. , Gerber Tamara , Kjær Helle Astrid , Vallelonga Paul , Dahl-Jensen Dorthe 
Published: September 2022

AbstractMass loss near the ice-sheet margin is evident from remote sensing as frontal retreat and increases in ice velocities. Velocities in the ice sheet interior are orders of magnitude smaller, making it challenging to detect velocity change. Here, we analyze a 35-year record of remotely sensed velocities, and a 6-year record of repeated GPS observations, at the East Greenland Ice-core Project (EastGRIP), located in the middle of the Northeast-Greenland Ice Stream (NEGIS). We find that the shear margins of NEGIS are accelerating, indicating a widening of the ice stream. We demonstrate that the widening of the ice stream is unlikely to be a response to recent changes at the outlets of NEGIS. Modelling indicates that the observed spatial fingerprint of acceleration is more consistent with a softening of the shear margin, e.g. due to evolving fabric or temperature, than a response to external forcing at the surface or bed.
Strain-regulated Gibbs free energy enables reversible redox chemistry of chalcogenides for sodium ion batteries
Authors: Jiang Minxia , Hu Yingjie , Mao Baoguang , Wang Yixin , Yang Zhen , Meng Tao , Wang Xin , Cao Minhua 
Published: September 2022

AbstractManipulating the reversible redox chemistry of transition metal dichalcogenides for energy storage often faces great challenges as it is difficult to regulate the discharged products directly. Herein we report that tensile-strained MoSe2 (TS-MoSe2) can act as a host to transfer its strain to corresponding discharged product Mo, thus contributing to the regulation of Gibbs free energy change (ΔG) and enabling a reversible sodium storage mechanism. The inherited strain results in lattice distortion of Mo, which adjusts the d-band center upshifted closer to the Fermi level to enhance the adsorbability of Na2Se, thereby leading to a decreased ΔG of the redox chemistry between Mo/Na2Se and MoSe2. Ex situ and in situ experiments revealed that, unlike the unstrained MoSe2, TS-MoSe2 shows a highly reversible sodium storage, along with an evidently improved reaction kinetics. This work sheds light on the study on electrochemical energy storage mechanism of other electrode materials.
Breakdown of bulk-projected isotropy in surface electronic states of topological Kondo insulator SmB6(001)
Authors: Ohtsubo Yoshiyuki , Nakaya Toru , Nakamura Takuto , Le Fèvre Patrick , Bertran François , Iga Fumitoshi , Kimura Shin-Ichi 
Published: September 2022

AbstractThe topology and spin-orbital polarization of two-dimensional (2D) surface electronic states have been extensively studied in this decade. One major interest in them is their close relationship with the parities of the bulk (3D) electronic states. In this context, the surface is often regarded as a simple truncation of the bulk crystal. Here we show breakdown of the bulk-related in-plane rotation symmetry in the topological surface states (TSSs) of the Kondo insulator SmB6. Angle-resolved photoelectron spectroscopy (ARPES) performed on the vicinal SmB6(001)-p(2 × 2) surface showed that TSSs are anisotropic and that the Fermi contour lacks the fourfold rotation symmetry maintained in the bulk. This result emphasizes the important role of the surface atomic structure even in TSSs. Moreover, it suggests that the engineering of surface atomic structure could provide a new pathway to tailor various properties among TSSs, such as anisotropic surface conductivity, nesting of surface Fermi contours, or the number and position of van Hove singularities in 2D reciprocal space.
ZO-2/Tjp2 suppresses Yap and Wwtr1/Taz-mediated hepatocyte to cholangiocyte transdifferentiation in the mouse liver
Authors: Xu Jianliang , Kausalya P. Jaya , Ong Alicia Ghia Min , Goh Christine Meng Fan , Mohamed Ali Safiah , Hunziker Walter 
Published: September 2022

AbstractTJP2/ZO-2-inactivating mutations in humans cause progressive cholestatic liver disease. Liver-specific deletion of Tjp2 in the mouse (Tjp2 cKO mice) leads to mild progressive cholestasis without an overt degradation of the bile-blood barrier (BBB). These mice are more susceptible to cholic acid (CA) induced liver injury. Interestingly, while initially also more susceptible, Tjp2 cKO mice develop tolerance to a DDC-supplemented diet. The DDC diet induces an exacerbated ductular reaction in Tjp2 cKO mice, which arises from the transdifferentiation of hepatocytes to cholangiocytes. Consequently, this transdifferentiation is only observed if Tjp2 is inactivated in hepatocytes, but not if deleted in cholangiocytes. The DDC-diet-induced hepatocyte transdifferentiation in Tjp2 cKO mice requires Yap and Wwtr1/Taz, whose protein expression is upregulated in hepatocytes lacking Tjp2, but is independent of Notch2. Although inactivating Tjp2 is sufficient for the upregulation of Yap and Wwtr1/Taz protein, efficient transdifferentiation requires the DDC-diet insult. Thus, Tjp2 negatively regulates Yap/Taz-mediated transdifferentiation of hepatocytes to cholangiocytes in response to DDC-diet-induced liver injury. Furthermore, transdifferentiation is regulated at multiple levels and the type of injury inflicted on the Tjp2 deficient liver plays an important role in the resulting pathophysiology.
A behavioral and brain imaging dataset with focus on emotion regulation of women with fibromyalgia
Authors: Balducci Thania , Rasgado-Toledo Jalil , Valencia Alely , van Tol Marie-José , Aleman André , Garza-Villarreal Eduardo A. 
Published: September 2022

AbstractFibromyalgia is a chronic condition characterized by widespread pain, as well as numerous symptoms related to central sensitization such as: fatigue, cognitive disturbances, constipation/diarrhea and sensory hypersensitivity. Furthermore, depression and anxiety are prevalent comorbidities, accompanied by emotion processing and regulation difficulties. Although fibromyalgia physiopathology is still not fully understood, neuroimaging research methods have shown brain structural and functional alterations as well as neuroinflammation abnormalities. We believe that open access to data may help fibromyalgia research advance more. Here, we present an open dataset of 33 fibromyalgia female patients and 33 paired healthy controls recruited from a Mexican population. Dataset includes demographic, clinical, behavioural and magnetic resonance imaging (MRI) data. The MRI data consists of: structural (T1- and T2- weighted) and functional (task-based and resting state) sequences. The task was an emotion processing and regulation task based on visual stimuli. The MRI data contained in the repository are unprocessed, presented in Brain Imaging Data Structure (BIDS) format and available on the OpenNeuro platform for future analysis.
Predicting skin permeability using HuskinDB
Authors: Waters Laura J. , Quah Xin Ling 
Published: September 2022

AbstractA freely accessible database has recently been released that provides measurements available in the literature on human skin permeation data, known as the ‘Human Skin Database – HuskinDB’. Although this database is extremely useful for sourcing permeation data to help with toxicity and efficacy determination, it cannot be beneficial when wishing to consider unlisted, or novel compounds. This study undertakes analysis of the data from within HuskinDB to create a model that predicts permeation for any compound (within the range of properties used to create the model). Using permeability coefficient (Kp) data from within this resource, several models were established for Kp values for compounds of interest by varying the experimental parameters chosen and using standard physicochemical data. Multiple regression analysis facilitated creation of one particularly successful model to predict Kp through human skin based only on three chemical properties. The model transforms the dataset from simply a resource of information to a more beneficial model that can be used to replace permeation testing for a wide range of compounds.
Passage number affects differentiation of sensory neurons from human induced pluripotent stem cells
Authors: Cantor Erica L. , Shen Fei , Jiang Guanglong , Tan Zhiyong , Cunningham Geneva M. , Wu Xi , Philips Santosh , Schneider Bryan P. 
Published: September 2022

AbstractInduced pluripotent stem cells (iPSCs) are a valuable resource for neurological disease-modeling and drug discovery due to their ability to differentiate into neurons reflecting the genetics of the patient from which they are derived. iPSC-derived cultures, however, are highly variable due to heterogeneity in culture conditions. We investigated the effect of passage number on iPSC differentiation to optimize the generation of sensory neurons (iPSC-dSNs). Three iPSC lines reprogrammed from the peripheral blood of three donors were differentiated into iPSC-dSNs at passage numbers within each of the following ranges: low (5–10), intermediate (20–26), and high (30–38). Morphology and pluripotency of the parent iPSCs were assessed prior to differentiation. iPSC-dSNs were evaluated based on electrophysiological properties and expression of key neuronal markers. All iPSC lines displayed similar morphology and were similarly pluripotent across passage numbers. However, the expression levels of neuronal markers and sodium channel function analyses indicated that iPSC-dSNs differentiated from low passage numbers better recapitulated the sensory neuron phenotype than those differentiated from intermediate or high passage numbers. Our results demonstrate that lower passage numbers may be better suited for differentiation into peripheral sensory neurons.
Theoretical study of the interaction of fullerenes with the emerging contaminant carbamazepine for detection in aqueous environments
Authors: Lemos Silva Rodrigo A. , Scalabrini Machado Daniel F. , de Oliveira Heibbe C. B. , Ribeiro Luciano , da Silva Filho Demétrio A. 
Published: September 2022

AbstractThe global increase in drug consumption exposes the growing need to develop new systems for the detection, capture, and treatment of bioactive molecules. Carbamazepine is one instance of such contaminants at the top of the ranking commonly found in sewage treatment systems. This work, therefore, presents a theoretical study of fullerene C60and its derivatives with substitutional doping with B, Al, Ga, Si, Ge, N and P, for the detection and capture of carbamazepine is aqueous medium. Solvation effects were included by means of the Polarizable Continuum Solvent method. The results indicate that doped fullerenes are sensitive for the detection of carbamazepine both in gaseous and aquatic environments. Investigation on the intermolecular interactions between the drug and the fullerene molecule were carried out, allowing the characterization of the interactions responsible for stabilizing the adsorption of carbamazepine to the fullerenes. The theoretical survey revealed that fullerenes doped with Al, Ga, Si and Ge chemically adsorb carbamazepine whereas for the case of fullerenes doped with other heteroatoms physisorption is responsible for the molecular recognition. Relying on DFT calculations, the fullerene derivatives C59Al, C59Si and C59Ga are the most suitable to act both as a sensor and to uptake carbamazepine in aquatic environments.