bluuebunny/crossref_metadata_2025_split huggingface dataset:
IκBζ regulates the development of nonalcoholic fatty liver disease through the attenuation of hepatic steatosis in mice
Authors: Ishikawa Hideki , Hayakawa Morisada , Baatartsogt Nemekhbayar , Kakizawa Nao , Ohto-Ozaki Hiromi , Maruyama Takashi , Miura Kouichi , Suzuki Koichi , Rikiyama Toshiki , Ohmori Tsukasa 
Published: July 2022

AbstractIκBζ is a transcriptional regulator that augments inflammatory responses from the Toll-like receptor or interleukin signaling. These innate immune responses contribute to the progression of nonalcoholic fatty liver disease (NAFLD); however, the role of IκBζ in the pathogenesis of NAFLD remains elusive. We investigated whether IκBζ was involved in the progression of NAFLD in mice. We generated hepatocyte-specific IκBζ-deficient mice (Alb-Cre; Nfkbizfl/fl) by crossing Nfkbizfl/fl mice with Alb-Cre transgenic mice. NAFLD was induced by feeding the mice a choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD). CDAHFD-induced IκBζ expression in the liver was observed in Nfkbizfl/fl mice, but not in Alb-Cre; Nfkbizfl/fl mice. Contrary to our initial expectation, IκBζ deletion in hepatocytes accelerated the progression of NAFLD after CDAHFD treatment. Although the increased expression of inflammatory cytokines and apoptosis-related proteins by CDAHFD remained unchanged between Nfkbizfl/fl and Alb-Cre; Nfkbizfl/fl mice, early-stage steatosis of the liver was significantly augmented in Alb-Cre; Nfkbizfl/fl mice. Overexpression of IκBζ in hepatocytes via the adeno-associated virus vector attenuated liver steatosis caused by the CDAHFD in wild-type C57BL/6 mice. This preventive effect of IκBζ overexpression on steatosis was not observed without transcriptional activity. Microarray analysis revealed a correlation between IκBζ expression and the changes of factors related to triglyceride biosynthesis and lipoprotein uptake. Our data suggest that hepatic IκBζ attenuates the progression of NAFLD possibly through the regulation of the factors related to triglyceride metabolism.
Differential expression profile of plasma exosomal microRNAs in acute type A aortic dissection with acute lung injury
Authors: Zhang Chiyuan , Bai Hui , Zhang Lei , Zhang Yanfeng , Chen Xuliang , Shi Ruizheng , Zhang Guogang , Xu Qian , Lin Guoqiang 
Published: July 2022

AbstractMicroRNAs (miRNAs) packaged into exosomes mediate cell communication and contribute to the pathogenesis of acute type A aortic dissection (ATAAD) with acute lung injury (ALI). The expression profile of plasma exosomal miRNAs in ATAAD patients with ALI hasn’t been identified. We performed a miRNA-sequencing to analyze the differentially expressed miRNAs (DE-miRNAs) of circulating exosomes in ATAAD patients with ALI compared to patients without ALI, founding 283 specific miRNAs in two groups. We respectively selected the top 10 downregulated and upregulated DE-miRNAs for further studies. The predicted transcription factors (TFs) of these DE-miRNAs were SMAD2, SRSF1, USF1, etc. The Gene Ontology (GO) and Kyoto Encyclopedia Genes and Genomes (KEGG) analysis predicted their target genes mainly involved acute inflammatory response, cell junction, cytoskeleton, NF-κB signaling pathway, etc. Construction and analysis of the PPI network revealed that RHOA and INSR were considered hub genes with the highest connectivity degrees. Moreover, we confirmed two exosomal miRNAs (hsa-miR-485-5p and hsa-miR-206) by real-time quantitative polymerase chain reaction (RT-qPCR) in a validation cohort. Our study identified a plasma exosomal miRNAs signature related to ATAAD with ALI. Certain DE-miRNAs may contribute to the progression of this disease, which help us better understand the pathogenesis of ATAAD with ALI.
Sleep habits are associated with cognition decline in physically robust, but not in frail participants: a longitudinal observational study
Authors: Chuang Shu-Chun , Wu I.-Chien , Chang Jen-Jen , Tsai Yi-Fen , Cheng Chiu-Wen , Chiu Yen-Feng , Chang Hsing-Yi , Lee Marion M. , Hsu Chih-Cheng , Hsiung Chao Agnes 
Published: July 2022

AbstractFrail older adults are vulnerable to stressors; thus, sleep related cognition impairment might more greatly affect frail than healthy older adults. In the present study, we investigated whether the association between sleep problems and cognition varies with physical frailty status (modified from Fried et al.). Participants 55 years and older who completed a baseline and follow-up questionnaire (median follow-up: 5.5 years), were included in the analysis. Sleep parameters were evaluated in an interview at the baseline. Cognitive decline was defined as a loss of 3 or more points on the Mini-Mental State Examination (MMSE) at follow-up. Associations between sleep problems and cognitive decline were examined using logistic regression and were stratified by baseline physical frailty status, adjusted for potential confounders. A short total sleep duration (< 5 vs. 7–9 h, odds ratio (OR) = 1.88, 95% confidence interval (CI) 1.18–3.00), excessive daytime sleepiness (OR = 1.49, 95% CI 1.04–2.13), low sleep efficiency (< 65% vs. ≥ 85%, OR = 1.62, 95% CI 1.07–2.46), and insomnia complaints (OR = 2.34, 95% CI 1.23–4.43) were associated with MMSE decline in physically robust. The association was stronger for the sleep summary score, which summarized abnormal sleep duration, excessive daytime sleepiness, and insomnia complaints ($$\ge $$
≥
2 vs. 0, OR = 3.79, 95% CI 2.10–6.85, p < 0.0001). Due to the low prevalence of frailty in this community-dwelling population, the statistical power to detect an association was low. More evidence is needed to clarify the role of sleep in the progression of cognitive decline in frail individuals.
Assessment of plant growth promoting bacteria strains on growth, yield and quality of sweet corn
Authors: Katsenios Nikolaos , Andreou Varvara , Sparangis Panagiotis , Djordjevic Nikola , Giannoglou Marianna , Chanioti Sofia , Kasimatis Christoforos-Nikitas , Kakabouki Ioanna , Leonidakis Dimitriοs , Danalatos Nicholaos , Katsaros George , Efthimiadou Aspasia 
Published: July 2022

AbstractThe use of plant growth promoting bacteria (PGPB) is increasingly gaining acceptance from all the stakeholders of the agricultural production. Different strains of PGPB species had been found to have a vast variety of mechanisms of action, while at the same time, affect differently a variety of crops. This study investigated the effectiveness of ten PGPB strains, on sweet corn cultivation under Mediterranean soil and climatic conditions. A field experiment that followed a completely randomized design was conducted at the region of Attica at Oropos. The results indicated that B. mojavensis increased yield by 16%, B. subtilis by 13.8%, B. pumilus by 11.8% and B. pseudomycoides by 9.8% compared to control. In addition, the harvested grains of the plants treated with B. mojavensis, B. subtilis and B. pumilus presented the highest values of protein and fiber content. Moreover, in most of the cases, high values of photosynthetic rate, transpiration rate and stomatal conductance during the cultivation period, resulted in high productivity. Regarding the texture, the size, the sphericity and the ash content of corn grains, it was found that they were not influenced by the application of different treatments of PGPB. The use of certain strains of PGPB, under specific soil and climatic conditions could contribute to better understand which strains are better suited to certain crops.
Longitudinal and latitudinal split-gate field-effect transistors for NAND and NOR logic circuit applications
Authors: Lee Minjong , Park Chang Yong , Hwang Do Kyung , Kim Min-gu , Lee Young Tack 
Published: July 2022

AbstractTwo-dimensional (2D) materials have been extensively adopted in various device architectures for advanced applications owing to their structural diversity, high functionality, and ease of integration. Among the various architectures, split-gate field-effect transistors (SG-FETs) have been widely studied based on their sequentially located SG electrode along the source/drain electrodes. In this paper, we propose two different homogeneous molybdenum disulfide (MoS2)-based SG-FET structures, namely AND-FET and OR-FET, whose gap directions are perpendicular to each other. It can exhibit AND or OR switching characteristics if it has a longitudinal or latitudinal gapped SG structure, respectively. Moreover, the AND-FET and OR-FET are regarded as folded structures of series and parallel connections of two n-type transistors. By using these switching devices, we successfully demonstrate NAND and NOR logic gates through a single active channel. These approaches are expected to pave the way for the realization of multi-functionality and high integration of 2D material-based future electronic devices.
High-pressure structural phase transitions and metallization in layered HfS2under different hydrostatic environments up to 42.1 GPa
Authors: Hong Meiling , Dai Lidong , Hu Haiying , Zhang Xinyu , Li Chuang , He Yu 
Published: July 2022

A series of structural, vibrational and electrical transport behaviors for HfS2 were systematically investigated upon compression and decompression under different hydrostatic environments. High-pressure structure and stability were deeply explored.
Three‐stage improved algorithm based on clustering decomposition and its application in drone demand and task allocation
Authors: Liu Zhengyuan , Wang Qinghua 
Published: July 2022

AbstractThis paper proposes a three‐stage algorithm based on clustering decomposition and task allocation—improved clustering planning algorithm (iK‐iD‐N), aiming at the optimization task allocation problem of drones in actual application to meet the task demand constraints. The algorithm solves the problem of the number of drones demanded and the initial delivery range of each drone by introducing dual‐objective planning into the clustering decomposition. Combining improved Dijkstra algorithm (iK‐D) with neighbourhood insertion algorithm into task allocation, to get high‐quality solutions and solve efficiently. Compared with the existing ant colony algorithm, the iK‐iD‐N algorithm proposed in this paper is more efficient and can obtain the best and stable solutions while evenly distributing tasks. Then it is compared with the improved clustering algorithm combined with the basic iK‐D to get better solutions of the iK‐iD‐N algorithm at any time, and compared with the basic clustering algorithm with the improved task allocation algorithm (K‐iD‐N) that iK‐ iD‐N can get a better solution with high probability. The thesis also simulates and analyzes the impact of uncertainty requirements on the solutions based on drone demand and task allocation models, and discusses the impact of drone load capability and endurance capability constraints on the final solutions.
Contour information regularized tensor ring completion for realistic image restoration
Authors: Yu Zhi , Luo Yihao , Liu Zhifa , Zhou Guoxu 
Published: July 2022

AbstractTensor completion has gained considerable research interest in recent years and has been frequently applied to image restoration. This type of method basically employs the low‐rank nature of images, implicitly requiring that the whole picture is of globally consistent features. As a result, existing tensor completion algorithms often give reasonably good performance if the target image has only random pixel‐level missing. Unfortunately, pixel‐level missing is very rare in practice and it is often wanted to restore an image with irregular hole‐shaped missing, such as removing electricity poles from landscape photos or irrelevant people from tourist photos. This task is extremely difficult for traditional low‐rank based tensor completion methods. To overcome this drawback, a Contour Information regularized Tensor RIng Completion (CITRIC) method is proposed for practical image restoration. Meanwhile, the contour information regularization is used to capture significant local features, whereas the low‐rank tensor ring structure is utilized to capture as much global information as possible. The alternating direction method of multipliers (ADMM) is adopted to optimize the cost function. Extensive experimental results using real‐world images show that CITRIC is more practical than existing methods and can restore real‐world images with irregular hole‐shaped missing.
Synthesis‐free backscatter directional modulation communication using Van‐Atta arrays
Authors: Huang Gaojian , Purushothama Jayakrishnan M. , Ding Yuan , Li Xingwang , Gong Wei 
Published: July 2022

AbstractBackscatter communication, an emerging ultra‐low‐power wireless communication paradigm, has been studied as a promising solution for wireless communications in some Internet‐of‐Things (IoT) applications. The required ubiquitous data transmission in the IoT world is demanding information security. Different from mathematical encryption at higher protocol layers, the directional modulation (DM) technology can provide physical‐layer wireless security, which does not require digital and computation resources that are otherwise scarce in low‐power IoT devices. In this paper, a synthesis‐free Van‐Atta backscatter array is constructed and studied. The authors show that a Van‐Atta array can be made to project orthogonal interference upon the backscattered signals in the radio frequency domain. The design details of the Van‐Atta DM array are elaborated, and its efficacy is validated via bit error rate simulations.
A drawer‐conformal radio‐frequency identification antenna with vertically polarised quasi‐endfire radiation
Authors: Chen Wei‐Jun , Pan Jia‐Fu , Cheng You‐Feng 
Published: July 2022

AbstractA radio‐frequency identification antenna with a quasi‐endfire radiation beam and a vertical polarisation is presented. A size‐reduced magnetic dipole is used as the radiation source whose radiating waves are restricted by a dual‐layer metasurface to propagate along the horizontal direction and result in an endfire pattern. Two vertical metal plates are placed at both ends to induce magnetic currents to realise the vertical polarisation. Based on the near‐field power analysis, the proposed metasurface‐covered endfire antenna, which is conformal to fit compactly into a drawer with little influence on the storage space, can be used for smart home and smart library systems, such as intelligent storage and reading.
A 1 × 48 large‐scale multi‐mode fibre optical switch
Authors: Shan Zhentian , Wan Zhujun , Luo Zhixiang 
Published: July 2022

AbstractA 1 × 48 large‐scale multi‐mode fibre (MMF) optical switch driven by a stepper motor is reported. The insertion loss is <1.42 dB, which can be further reduced to 1.02 dB after optimisation. With the employment of a corner cube prism in the optics, the device is characterised by good repeatability of <±0.01 dB. Meanwhile, the device has a fast response of <8 ms.
Study on influence of switching frequency on sliding mode control performance of permanent magnet synchronous motor
Authors: Tan Shudan , Ma Jiaqing 
Published: July 2022

AbstractAiming at the deficiencies of the speed loop PI control algorithm of permanent magnet synchronous motor (PMSM) in variable working conditions, a new fast reaching law sliding mode control algorithm based on double‐power is proposed. Firstly, a new sliding mode reaching law is proposed, and the reaching law includes system state variables and the power function of the terminal attractors. It can reach the sliding mode surface at a faster speed, reduce chattering and improve system performance. Secondly, the reachability and existence of the new reaching law are proved by the Lyapunov function, and a new reaching law sliding mode controller (NRLSMC) is designed. Then, the theoretical analysis of the switching frequency of the system is carried out, and the effects of different switching frequencies on the performance of sliding mode control (SMC) of PMSM are explored. Simulation and experimental results demonstrate that the proposed NRLSMC can effectively attenuate the disadvantages of large overshoot and long transition time under variable working conditions compared with ordinary sliding mode controller (OSMC) and PI controller. Moreover, the relative optimal switching frequency that improves the above performance is obtained, and the existence of the optimal sampling period for stable convergence of the system is proved.
Robust direction‐of‐arrival estimation approach using beamspace‐based deep neural networks with array imperfections and element failure
Authors: Ji Yuanjie , Wen Cai , Huang Yan , Peng Jinye , Fan Jianping 
Published: July 2022

AbstractDirection‐of‐arrival (DOA) estimation is a fundamental functionality of sensor array systems. Previous methods only consider element failure or array imperfections. In fact, the co‐existence of element failure and array imperfections is more in line with the realistic operation conditions of an array system. However, the performance of previous methods degrades significantly in the presence of both array imperfections and element failure. To deal with this problem, a robust DOA estimation method is proposed based on a deep neural network (DNN). The proposed DNN consists of a denoising autoencoder (DAE) and a parallel network. The DAE can restore damaged array signals to “non‐corrupted” signals, and the parallel network is able to process signals with different levels of loss to improve DOA estimation accuracy. At the training stage, array imperfections are modelled as a spherical distribution, and the training samples are extracted under this distribution to improve the generalisation capability of the proposed network to various array imperfections. In addition, the authors propose to estimate the spatial spectrum in a virtual array beamspace, which can reduce the computational complexity as well as signal‐to‐noise ratio resolution threshold, and further enhance the robustness to array imperfections. Numerical results show that the proposed DOA estimation approach works well in the presence of both array imperfections and element failure.
Magnetic cloud prediction model for forecasting space weather relevant properties of Earth-directed coronal mass ejections
Authors: Pal Sanchita , Nandy Dibyendu , Kilpua Emilia K. J. 
Published: July 2022

Context.Coronal mass ejections (CMEs) are major eruptive events on the Sun that result in the ejection of large-scale magnetic clouds (MCs) in interplanetary space, consisting of plasma with enhanced magnetic fields whose direction changes coherently when measured in situ. The severity of CME-induced geomagnetic perturbations and space weather impacts depends on the direction and strength of the interplanetary magnetic field (IMF), as well as on the speed and duration of the passage of the magnetic cloud associated with the storm. The coupling between the heliospheric environment and Earth’s magnetosphere is strongest when the IMF direction is persistently southward (i.e. negativeBz) for a prolonged period. Predicting the magnetic profile of such Earth-directed CMEs is therefore critical for estimating their space weather consequences; this remains an outstanding challenge, however.Aims.Our aim is to build upon and integrate diverse techniques towards the development of a comprehensive magnetic cloud prediction (MCP) model that can forecast the magnetic field vectors, Earth-impact time, speed, and duration of passage of solar storms.Methods.The configuration of a CME is approximated as a radially expanding force-free cylindrical structure. Combining near-Sun geometrical, magnetic, and kinematic properties of CMEs with the probabilistic drag-based model and cylindrical force-free model, we propose a method for predicting the Earth-arrival time, propagation speed, and magnetic vectors of MCs during their passage through 1 AU. Our model is able to predict the passage duration of the storm without recourse to computationally intensive time-dependent dynamical equations.Results.Our method is validated by comparing the MCP model output with observations of ten MCs at 1 AU. In our sample, we find that eight MCs show a root mean square (rms) deviation smaller than 0.1 between the predicted and observed magnetic profiles, and the passage durations of seven MCs fall within the predicted range.Conclusions.Based on the success of this approach, we conclude that predicting the near-Earth properties of MCs based on an analysis and modelling of near-Sun CME observations is a viable endeavour with potential applications for the development of early-warning systems for space weather and enabling mitigation strategies.
Morphology and dynamical stability of self-gravitating vortices
Authors: Rendon Restrepo S. , Barge P. 
Published: July 2022

Context.Theoretical and numerical studies have shown that large-scale vortices in protoplanetary discs can result from various hydro-dynamical instabilities. Once produced, such vortices can survive nearly unchanged over a large number of rotation periods, slowly migrating towards the star. Lopsided asymmetries recently observed at sub-millimetre and millimetre wavelengths in a number of transition discs could be explained by the emission of the solid particles trapped by vortices in the outer disc. However, at such a distance from the star, disc self-gravity (SG) may affect the vortex evolution and must be included in models.Aims.Our first goal is to identify how vortex morphology is affected by its own gravity. Next, we look for conditions that a self-gravitating disc must satisfy in order to permit vortex survival at long timescales. Finally, we characterise as well as possible the persistent self-gravitating vortices we have found in isothermal and non-isothermal discs.Methods.We performed 2D hydrodynamic simulations using theRoSSBi 3.0code. The outline of our computations was limited to Euler’s equations assuming a non-homentropic and non-adiabatic flow for an ideal gas. A series of 45 runs were carried out starting from a Gaussian vortex-model; the evolution of vortices was followed during 300 orbits for various values of the vortex parameters and the Toomre parameter. Two simulations, with the highest resolution thus far for studies of vortices, were also run to better characterise the internal structure of the vortices and for the purpose of comparison with an isothermal case.Results.We find that SG tends to destabilise the injected vortices, but compact small-scale vortices seem to be more robust than large-scale oblong vortices. Vortex survival critically depends on the value of the disc’s Toomre parameter, but may also depend on the disc temperature at equilibrium. Disc SG must be small enough to avoid destruction in successive splitting and an approximate ‘stability’ criterion is deduced for vortices. The self-gravitating vortices that we found persist during hundreds of rotation periods and look like the quasi-steady vortices obtained in the non-self-gravitating case. A number of these self-gravitating vortices are eventually accompanied by a secondary vortex with a horseshoe motion. These vortices reach a new rotational equilibrium in their core, tend to contract in the radial direction, and spin faster.Conclusions.We propose an approximate ‘robustness criterion’, which states that, for a given morphology, a vortex appears stable provided that the disc’s Toomre parameter overcomes a fixed threshold. Global simulations with a high enough numerical resolution are required to avoid inappropriate decay and to follow the evolution of self-gravitating vortices in protoplanetary discs. Vortices reach a nearly steady-state more easily in non-isothermal discs than in isothermal discs.