bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Daily Use Caregiver Sleep Survey (DUCSS)
Authors: Hughes Jennifer Christine , Romine William , Banerjee Tanvi , Goodman Garrett , Edwards Abby , Hughes John Gregory , Lawhorne Larry 
Published: July 2020

Abstract. Dementia caregiving is associated with depression, stress, and sleep disturbance. A daily use caregiver sleep survey (DUCSS) was developed to evaluate caregiver sleep. The tool was distributed to 24 informal caregivers and validated using the Rasch model, which indicated that the 17-item survey produced sleep quality measures of sufficient reliability for both group-level and individual-level comparisons (reliability = .87). The sample size was sufficient to provide precise measures of the item’s position along the scale (item difficulty) (reliability = .85), so outcomes associated with sleep quality levels could be evaluated. We observed that the structure of the instrument is unidimensional, meaning the wording does not contain systematic biases peripheral to sleep quality. DUCSS is a useful tool for caregiver assessment and monitoring.
Calculation of the Atomic Oxygen Fluence on the Van Allen Probes
Authors: Schumm G. , Bonnell J. W. , Wygant J. R. , Mozer F. S. 
Published: July 2020

AbstractThe Van Allen Probes Mission consists of two identical spacecraft flying in highly elliptical orbits, with perigee altitudes originally near 600 km. During the low‐altitude periods of the orbits, the spacecrafts are immersed in a region of high‐density atomic oxygen. Atomic oxygen is known to change and degrade the properties of spacecraft surfaces (Banks et al., 2004), such as those of the Van Allen Probes Electric Field and Waves (EFW) instrument. The consistency of the sensor surfaces in EFW is important because the mechanisms used to ensure the collection of high‐quality electric field measurements requires that the photoemission properties of each sensor are uniform and stable. Oxidation or erosion of the sensor surfaces could limit the instrument's ability to balance the currents produced by both the plasma electrons and the controlled bias current applied to the sensors and thus to properly operate the device. We have modeled the atomic oxygen exposure to the spacecraft to help understand the potential impact it has had on the sensors. We have calculated the fluence (time‐integrated flux) of atomic oxygen particles that have collided with the spacecrafts over the entire course of the mission. We have also looked at the distribution of atomic oxygen flux over time to further analyze malfunctions in the sensor readings at different points along the course of the mission. Additionally, we have investigated how different surfaces of the spacecraft are affected differently due to their orientation with respect to the spacecraft's motion.
Development and Verification of a Three‐Dimensional Variably Saturated Flow Model for Assessment of Future Global Water Resources
Authors: Miura Yosuke , Yoshimura Kei 
Published: July 2020

AbstractGlobal water resource assessment has been conducted primarily for surface water and shallow groundwater (unconfined aquifers). Groundwater is a major water resource worldwide. Nevertheless, future water resource assessment integrating surface water and groundwater has not been carried out at the global scale. Large grid sizes are used in global‐scale models due to computer resource constraints. Underground, the unsaturated zone that connects surface water and groundwater is expressed using a vertically one‐dimensional grid of fixed size. However, the thickness of the unsaturated zone varies greatly between dry and humid areas, and future unsaturated zone conditions may differ from those at present due to climate change. In addition, for mountainous areas with steep slopes, representing the unsaturated zone in one vertical dimension is a major limitation. We believe that such a representation causes difficulty in adequately expressing underground water flow and thus introduces uncertainties into future prediction results. In this study, we developed a code to represent variably saturated flow with groundwater storativity in three dimensions based on physical equations, which can be used as references for parameterization in the future. To confirm the accuracy of this code, we verified it using vertical one‐ and two‐dimensional infiltration problems, a three‐dimensional groundwater pumping problem, hillslope problem, and water balance. The code achieved reliable results for each problem.
Space Weather Monitor at the L5 Point: A Case Study of a CME Observed with STEREO B
Authors: Rodriguez L. , Scolini C. , Mierla M. , Zhukov A. N. , West M. J. 
Published: July 2020

AbstractAn important location for future space weather monitoring is the Lagrange point 5 (L5) of the Sun‐Earth system. We test the performance of L5 for space weather monitoring using STEREO B observations of an Earth‐directed coronal mass ejection (CME), seen as a partial halo by SOHO at L1. STEREO B (located close to L5) continuously tracked the CME. By using these data in combination with methods to calculate the CME arrival time at the Earth (extrapolation, drag‐based model, and a magnetohydrodynamic model), we demonstrate that the estimation of the CME arrival time can be drastically improved by adding L5 data. Based on the L1 data alone, one could predict that the CME would arrive at the Earth. Using only the L5 data, one would not expect an arrival, as the estimations of the CME 3‐D configuration is uncertain. The combination of L1 and L5 data leads to an ambiguous prediction of the CME arrival due to low CME brightness in L1 data. To obtain an unambiguous prediction, one needs its 3‐D configuration, from observing the CME material close to the plane of the sky from at least two viewpoints (in this case L5 and, coincidentally, L4). This event demonstrates that L1 observations may be better to determine CME arrival, but L5 observations are superior for constraining arrival time. In this work, the advantages and caveats of using data from a space weather monitor at L5 for predicting interplanetary propagation of CMEs are discussed and demonstrated in a direct case study.
Metabolic signaling in T cells
Authors: Shyer Justin A. , Flavell Richard A. , Bailis Will 
Published: July 2020

AbstractThe maintenance of organismal homeostasis requires partitioning and transport of biochemical molecules between organ systems, their composite cells, and subcellular organelles. Although transcriptional programming undeniably defines the functional state of cells and tissues, underlying biochemical networks are intricately intertwined with transcriptional, translational, and post-translational regulation. Studies of the metabolic regulation of immunity have elegantly illustrated this phenomenon. The cells of the immune system interface with a diverse set of environmental conditions. Circulating immune cells perfuse peripheral organs in the blood and lymph, patrolling for pathogen invasion. Resident immune cells remain in tissues and play more newly appreciated roles in tissue homeostasis and immunity. Each of these cell populations interacts with unique and dynamic tissue environments, which vary greatly in biochemical composition. Furthermore, the effector response of immune cells to a diverse set of activating cues requires unique cellular adaptations to supply the requisite biochemical landscape. In this review, we examine the role of spatial partitioning of metabolic processes in immune function. We focus on studies of lymphocyte metabolism, with reference to the greater immunometabolism literature when appropriate to illustrate this concept.
Subnanometer-resolution structure determination in situ by hybrid subtomogram averaging - single particle cryo-EM
Authors: Sanchez Ricardo M. , Zhang Yingyi , Chen Wenbo , Dietrich Lea , Kudryashev Mikhail 
Published: July 2020

AbstractCryo-electron tomography combined with subtomogram averaging (StA) has yielded high-resolution structures of macromolecules in their native context. However, high-resolution StA is not commonplace due to beam-induced sample drift, images with poor signal-to-noise ratios (SNR), challenges in CTF correction, and limited particle number. Here we address these issues by collecting tilt series with a higher electron dose at the zero-degree tilt. Particles of interest are then located within reconstructed tomograms, processed by conventional StA, and then re-extracted from the high-dose images in 2D. Single particle analysis tools are then applied to refine the 2D particle alignment and generate a reconstruction. Use of our hybrid StA (hStA) workflow improved the resolution for tobacco mosaic virus from 7.2 to 4.4 Å and for the ion channel RyR1 in crowded native membranes from 12.9 to 9.1 Å. These resolution gains make hStA a promising approach for other StA projects aimed at achieving subnanometer resolution.
Single-cell transcriptomic analysis in a mouse model deciphers cell transition states in the multistep development of esophageal cancer
Authors: Yao Jiacheng , Cui Qionghua , Fan Wenyi , Ma Yuling , Chen Yamei , Liu Tianyuan , Zhang Xiannian , Xi Yiyi , Wang Chengcheng , Peng Linna , Luo Yingying , Lin Ai , Guo Wenjia , Lin Lin , Lin Yuan , Tan Wen , Lin Dongxin , Wu Chen , Wang Jianbin 
Published: July 2020

AbstractEsophageal squamous cell carcinoma (ESCC) is prevalent in some geographical regions of the world. ESCC development presents a multistep pathogenic process from inflammation to invasive cancer; however, what is critical in these processes and how they evolve is largely unknown, obstructing early diagnosis and effective treatment. Here, we create a mouse model mimicking human ESCC development and construct a single-cell ESCC developmental atlas. We identify a set of key transitional signatures associated with oncogenic evolution of epithelial cells and depict the landmark dynamic tumorigenic trajectories. An early downregulation of CD8+ response against the initial tissue damage accompanied by the transition of immune response from type 1 to type 3 results in accumulation and activation of macrophages and neutrophils, which may create a chronic inflammatory environment that promotes carcinogen-transformed epithelial cell survival and proliferation. These findings shed light on how ESCC is initiated and developed.
Quantum walks and Dirac cellular automata on a programmable trapped-ion quantum computer
Authors: Huerta Alderete C. , Singh Shivani , Nguyen Nhung H. , Zhu Daiwei , Balu Radhakrishnan , Monroe Christopher , Chandrashekar C. M. , Linke Norbert M. 
Published: July 2020

AbstractThe quantum walk formalism is a widely used and highly successful framework for modeling quantum systems, such as simulations of the Dirac equation, different dynamics in both the low and high energy regime, and for developing a wide range of quantum algorithms. Here we present the circuit-based implementation of a discrete-time quantum walk in position space on a five-qubit trapped-ion quantum processor. We encode the space of walker positions in particular multi-qubit states and program the system to operate with different quantum walk parameters, experimentally realizing a Dirac cellular automaton with tunable mass parameter. The quantum walk circuits and position state mapping scale favorably to a larger model and physical systems, allowing the implementation of any algorithm based on discrete-time quantum walks algorithm and the dynamics associated with the discretized version of the Dirac equation.
Mitochondrial dynamics quantitatively revealed by STED nanoscopy with an enhanced squaraine variant probe
Authors: Yang Xusan , Yang Zhigang , Wu Zhaoyang , He Ying , Shan Chunyan , Chai Peiyuan , Ma Chenshuo , Tian Mi , Teng Junlin , Jin Dayong , Yan Wei , Das Pintu , Qu Junle , Xi Peng 
Published: July 2020

AbstractMitochondria play a critical role in generating energy to support the entire lifecycle of biological cells, yet it is still unclear how their morphological structures evolve to regulate their functionality. Conventional fluorescence microscopy can only provide ~300 nm resolution, which is insufficient to visualize mitochondrial cristae. Here, we developed an enhanced squaraine variant dye (MitoESq-635) to study the dynamic structures of mitochondrial cristae in live cells with a superresolution technique. The low saturation intensity and high photostability of MitoESq-635 make it ideal for long-term, high-resolution (stimulated emission depletion) STED nanoscopy. We performed time-lapse imaging of the mitochondrial inner membrane over 50 min (3.9 s per frame, with 71.5 s dark recovery) in living HeLa cells with a resolution of 35.2 nm. The forms of the cristae during mitochondrial fusion and fission can be clearly observed. Our study demonstrates the emerging capability of optical STED nanoscopy to investigate intracellular physiological processes with nanoscale resolution for an extended period of time.
An artificial intelligence-aided virtual screening recipe for two-dimensional materials discovery
Authors: Sorkun Murat Cihan , Astruc Séverin , Koelman J. M. Vianney A. , Er Süleyman 
Published: July 2020

AbstractIn recent years, artificial intelligence (AI) methods have prominently proven their use in solving complex problems. Across science and engineering disciplines, the data-driven approach has become the fourth and newest paradigm. It is the burgeoning of findable, accessible, interoperable, and reusable (FAIR) data generated by the first three paradigms of experiment, theory, and simulation that has enabled the application of AI methods for the scientific discovery and engineering of compounds and materials. Here, we introduce a recipe for a data-driven strategy to speed up the virtual screening of two-dimensional (2D) materials and to accelerate the discovery of new candidates with targeted physical and chemical properties. As a proof of concept, we generate new 2D candidate materials covering an extremely large compositional space, downselect 316,505 likely stable 2D materials, and predict the key physical properties of these new 2D candidates. Finally, we hone in on the most propitious candidates of functional 2D materials for energy conversion and storage.
Humoral immune response to tick-borne encephalitis vaccination in allogeneic blood and marrow graft recipients
Authors: Harrison Nicole , Grabmeier-Pfistershammer Katharina , Graf Alexandra , Schwarzinger Ilse , Aberle Judith H. , Stiasny Karin , Greinix Hildegard , Rabitsch Werner , Kalhs Peter , Ramharter Michael , Burgmann Heinz , Forstner Christina 
Published: July 2020

AbstractThe aim of this prospective study was to characterize the humoral immune response to TBE vaccination after hematopoietic stem cell transplantation (HSCT). Nineteen adult patients 11–13 months after HSCT and 15 age-matched immunocompetent adults received up to three TBE vaccinations. Antibodies against TBE virus were measured by neutralization test (NT). As primary endpoint, the antibody response (NT titer of ≥10 and at least a twofold increase from baseline 4 weeks after second vaccination) was compared between patients and controls using Fisher exact test. Prior vaccination, 15 (79%) HSCT patients still had detectable neutralizing antibodies. At primary endpoint, the antibody response was significantly lower in patients than in controls (35% versus 93%; p < 0.001). The CD4+ cell count was a predictor for an antibody response in patients (p = 0.019). Interestingly, the majority of HSCT patients still had detectable antibodies prior vaccination. Following vaccination, antibody response in HSCT patients was associated with the CD4+ cell count.
Nitrogen-rich graphitic-carbon@graphene as a metal-free electrocatalyst for oxygen reduction reaction
Authors: Begum Halima , Ahmed Mohammad Shamsuddin , Kim Young-Bae 
Published: July 2020

AbstractThe metal-free nitrogen-doped graphitic-carbon@graphene (Ng-C@G) is prepared from a composite of polyaniline and graphene by a facile polymerization following by pyrolysis for electrochemical oxygen reduction reaction (ORR). Pyrolysis creates a sponge-like with ant-cave-architecture in the polyaniline derived nitrogenous graphitic-carbon on graphene. The nitrogenous carbon is highly graphitized and most of the nitrogen atoms are in graphitic and pyridinic forms with less oxygenated is found when pyrolyzed at 800 °C. The electrocatalytic activity of Ng-C@G-800 is even better than the benchmarked Pt/C catalyst resulting in the higher half-wave potential (8 mV) and limiting current density (0.74 mA cm−2) for ORR in alkaline medium. Higher catalytic performance is originated from the special porous structure at microscale level and the abundant graphitic- and pyridinic-N active sites at the nanoscale level on carbon-graphene matrix which are beneficial to the high O2-mass transportation to those accessible sites. Also, it possesses a higher cycle stability resulting in the negligible potential shift and slight oxidation of pyridinic-N with better tolerance to the methanol.
VEGF is an autocrine/paracrine neuroprotective factor for injured retinal ganglion neurons
Authors: Froger Nicolas , Matonti Frédéric , Roubeix Christophe , Forster Valérie , Ivkovic Ivana , Brunel Nadège , Baudouin Christophe , Sahel José-Alain , Picaud Serge 
Published: July 2020

AbstractVascular endothelial growth factor-A (VEGF) is the angiogenic factor promoting the pathological neovascularization in age-related macular degeneration (AMD) or diabetic macular edema (DME). Evidences have suggested a neurotrophic and neuroprotective role of VEGF, albeit in retina, cellular mechanisms underlying the VEGF neuroprotection remain elusive. Using purified adult retinal ganglion cells (RGCs) in culture, we demonstrated here that VEGF is released by RGCs themselves to promote their own survival, while VEGF neutralization by specific antibodies or traps drastically reduced the RGC survival. These results indicate an autocrine VEGF neuroprotection on RGCs. In parallel, VEGF produced by mixed retinal cells or by mesenchymal stem cells exerted a paracrine neuroprotection on RGCs. Such neuroprotective effect was obtained using the recombinant VEGF-B, suggesting the involvement of VEGF-R1 pathway in VEGF-elicited RGC survival. Finally, glaucomatous patients injected with VEGF traps (ranibizumab or aflibercept) due to either AMD or DME comorbidity, showed a significant reduction of RGC axon fiber layer thickness, consistent with the plausible reduction of the VEGF autocrine stimulation of RGCs. Our results provide evidence of the autocrine neuroprotective function of VEGF on RGCs is crucially involved to preserve injured RGCs such as in glaucomatous patients.
Programmable electronic synapse and nonvolatile resistive switches using MoS2 quantum dots
Authors: Thomas Anna , Resmi A. N. , Ganguly Akash , Jinesh K. B. 
Published: July 2020

AbstractBrain-inspired computation that mimics the coordinated functioning of neural networks through multitudes of synaptic connections is deemed to be the future of computation to overcome the classical von Neumann bottleneck. The future artificial intelligence circuits require scalable electronic synapse (e-synapses) with very high bit densities and operational speeds. In this respect, nanostructures of two-dimensional materials serve the purpose and offer the scalability of the devices in lateral and vertical dimensions. In this work, we report the nonvolatile bipolar resistive switching and neuromorphic behavior of molybdenum disulfide (MoS2) quantum dots (QD) synthesized using liquid-phase exfoliation method. The ReRAM devices exhibit good resistive switching with an On–Off ratio of 104, with excellent endurance and data retention at a smaller read voltage as compared to the existing MoS2 based memory devices. Besides, we have demonstrated the e-synapse based on MoS2 QD. Similar to our biological synapse, Paired Pulse Facilitation / Depression of short-term memory has been observed in these MoS2 QD based e-synapse devices. This work suggests that MoS2 QD has potential applications in ultra-high-density storage as well as artificial intelligence circuitry in a cost-effective way.
An end to the controversy over the microscopic detection and effects of pristine microplastics in fish organs
Authors: De Sales-Ribeiro Carolina , Brito-Casillas Yeray , Fernandez Antonio , Caballero María José 
Published: July 2020

AbstractThe aquatic environment and the associated fish assemblages are being exposed to an increasing amount of microplastics. Despite the high number of publications on the presence of microplastics in fish, little is known about their uptake, translocation and accumulation within fish organs. Experimental studies on the detection and effects of pristine microplastics in fish have shown controversial and ambiguous results, respectively. Here, we conducted two experiments to detect and assess the impacts of dietary exposure of Danio rerio to different types of pristine microplastics. Our results show that D. rerio recognizes plastic particles as inedible materials but ingests them when mixed with food or fish oil. Accidental ingestion occurs in fish exposed to relatively small (1–5 µm) microplastic particles without associated food or fish oil. Additionally, D. rerio effectively eliminated pristine microplastics 24 h after ingestion; however, retention time was associated with increasing particle size and the intake of additional meals. Clinical signs, such as anorexia and lethargy, are present in fish fed relatively large microplastics (120–220 µm). The ingestion of microplastics does not induce any histopathological changes. To the best of our knowledge, we are able, for the first time, to fully demonstrate the uptake and translocation of plastic microbeads using confocal microscopy. Our results question the findings of previous studies on the detection and effects of pristine microplastics in fish and state that inaccurate interpretations of the histological findings regarding microplastics in fish organs is a prevalent flaw in the current scientific literature.
CT texture analysis predicts abdominal aortic aneurysm post-endovascular aortic aneurysm repair progression
Authors: Ding Ning , Hao Yunxiu , Wang Zhiwei , Xuan Xiao , Kong Lingyan , Xue Huadan , Jin Zhengyu 
Published: July 2020

AbstractThe aim of this study is to investigate the role of early postoperative CT texture analysis in aneurysm progression. Ninety-nine patients who had undergone post-endovascular aneurysm repair (EVAR) infra-renal abdominal aortic aneurysm CT serial scans were enrolled from July 2014 to December 2019. The clinical and traditional imaging features were obtained. Aneurysm texture analysis was performed using three methods—the grey-level co-occurrence matrix (GLCM), the grey-level run length matrix (GLRLM), and the grey-level difference method (GLDM). A multilayer perceptron neural network was applied as a classifier, and receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) analysis were employed to illustrate the classification performance. No difference was found in the morphological and clinical features between the expansion (+) and (−) groups. GLCM yielded the best performance with an accuracy of 85.17% and an AUC of 0.90, followed by GLRLM with an accuracy of 87.23% and an AUC of 0.8615, and GLDM with an accuracy of 86.09% and an AUC of 0.8313. All three texture analyses showed superior predictive ability over clinical risk factors (accuracy: 69.41%; AUC: 0.6649), conventional imaging features (accuracy: 69.02%; AUC: 0.6747), and combined (accuracy: 75.29%; AUC: 0.7249). Early post-EVAR arterial phase-derived aneurysm texture analysis is a better predictor of later aneurysm expansion than clinical factors and traditional imaging evaluation combined.