bluuebunny/crossref_metadata_2025_split huggingface dataset:
Serum ErbB2 concentration positively correlated to the glycemic variations in newly diagnosed Type 2 diabetic patients
Authors: Huang Yan , Han Xia , Chang Ting , Li Feng-fei , Chen Xuan , She Yu-qing 
Published: March 2022

AbstractEvidences indicate that elevated levels of circulating ErbB2 are closely associated with increased incidence of diabetes. However, the relationship between ErbB2 concentration and glycemic variations (GV) in type 2 diabetic (T2D) patients remains elucidated. The aim of this study was to assess whether there is an association between serum ErbB2 concentration and GV in newly diagnosed T2D patients. This was a three-center, and observational study. Between April 2019 and July 2019, a total of 106 newly diagnosed T2D patients were recruited. All recruited subjects were admitted as inpatients and received anti-diabetes agents free during the study period. At baseline, fasting serum was collected for ErbB2 measurement and all recruited patients were subjected a prospective CGM for at least 3 days. The primary endpoint was the relationships between ErbB2 concentrations and GV in T2D patients. Data of a total of 95 subjects who met the inclusion criteria were analyzed at the endpoint. Subjects were divided into quartiles according to their serum ErbB2 concentrations. We observed that subjects with an elevated level of ErbB2 had a higher value of GV in terms of mean amplitude of glucose excursion (MAGE), standard deviation of mean glucose (SDMG), and the coefficient of variation (CV%) than those with lower levels (all P < 0.05). Multiple linear regression analyzes after adjusting for confounder factors indicate that serum ErbB2 levels were significantly positively correlated with the MAGE (β = 0.664, t = 7.218, P < 0.01), SD (β = 0.469, t = 5.125, P < 0.01) and CV% (β = 0.337, t = 4.442, P < 0.01), respectively. Our data indicated that diabetic patients with higher ErbB2 concentrations may have large GV, which is an independent risk factor for microvascular and macrovascular complications.
The alveolar macrophage toponome of female SP-A knockout mice differs from that of males before and after SP-A1 rescue
Authors: Phelps David S. , Chinchilli Vernon M. , Yang Lili , Shearer Debra , Weisz Judith , Zhang Xuesheng , Floros Joanna 
Published: March 2022

AbstractUsing the Toponome Imaging System (TIS), a serial immunostainer, we studied the patterns of expression of multiple markers in alveolar macrophages (AM) from female mice lacking surfactant protein A (SP-A knockouts; KO) after “rescue” with exogenous SP-A1. We also used a 7-marker subset to compare with AM from males. AM were harvested 18 h after intrapharyngeal SP-A1 or vehicle, attached to slides, and subjected to serial immunostaining for 12 markers. Expression of the markers in each pixel of the image was analyzed both in the whole image and in individual selected cells. The marker combination in each pixel is referred to as a combinatorial molecular phenotype (CMP). A subset of antibodies was used to compare AM from male mice to the females. We found: (a) extensive AM heterogeneity in females by CMP analysis and by clustering analysis of CMPs in single cells; (b) AM from female KO mice respond to exogenous SP-A1 by increasing CMP phenotypic diversity and perhaps enhancing their potential innate immune capabilities; and (c) comparison of male and female AM responses to SP-A1 revealed that males respond more vigorously than females and clustering analysis was more effective in distinguishing males from females rather than treated from control.
An object-based sparse representation model for spatiotemporal image fusion
Authors: Asefpour Vakilian Afshin , Saradjian Mohammad Reza 
Published: March 2022

AbstractMany algorithms have been proposed for spatiotemporal image fusion on simulated data, yet only a few deal with spectral changes in real satellite images. An innovative spatiotemporal sparse representation (STSR) image fusion approach is introduced in this study to generate global dense high spatial and temporal resolution images from real satellite images. It aimed to minimize the data gap, especially when fine spatial resolution images are unavailable for a specific period. The proposed approach uses a set of real coarse- and fine-spatial resolution satellite images acquired simultaneously and another coarse image acquired at a different time to predict the corresponding unknown fine image. During the fusion process, pixels located between object classes with different spectral responses are more vulnerable to spectral distortion. Therefore, firstly, a rule-based fuzzy classification algorithm is used in STSR to classify input data and extract accurate edge candidates. Then, an object-based estimation of physical constraints and brightness shift between input data is utilized to construct the proposed sparse representation (SR) model that can deal with real input satellite images. Initial rules to adjust spatial covariance and equalize spectral response of object classes between input images are introduced as prior information to the model, followed by an optimization step to improve the STSR approach. The proposed method is applied to real fine Sentinel-2 and coarse Landsat-8 satellite data. The results showed that introducing objects in the fusion process improved spatial detail, especially over the edge candidates, and eliminated spectral distortion by preserving the spectral continuity of extracted objects. Experiments revealed the promising performance of the proposed object-based STSR image fusion approach based on its quantitative results, where it preserved almost 96.9% and 93.8% of the spectral detail over the smooth and urban areas, respectively.
Draft genomes assembly and annotation of Carex parvula and Carex kokanica reveals stress-specific genes
Authors: Qu Guangpeng , Bao Yuhong , Liao Yangci , Liu Can , Zi Hailing , Bai Magaweng , Liu Yunfei , Tu Dengqunpei , Wang Li , Chen Shaofeng , Zhou Gang , Can Muyou 
Published: March 2022

AbstractKobresia plants are important forage resources on the Qinghai-Tibet Plateau and are essential in maintaining the ecological balance of grasslands. Therefore, it is beneficial to obtain Kobresia genome resources and study the adaptive characteristics of Kobresia plants on the Qinghai-Tibetan Plateau. Previously, we have assembled the genome of Carex littledalei (Kobresia littledalei), which is a diploid with 29 chromosomes. In this study, we assembled genomes of Carex parvula (Kobresia pygmaea) and Carex kokanica (Kobresia royleana) via using Illumina and PacBio sequencing data, which were about 783.49 Mb and 673.40 Mb in size, respectively. And 45,002 or 36,709 protein-coding genes were further annotated in the genome of C. parvula or C. kokanica. Phylogenetic analysis indicated that Kobresia in Cyperaceae separated from Poaceae about 101.5 million years ago after separated from Ananas comosus in Bromeliaceae about 117.2 million years ago. C. littledalei and C. parvula separated about 5.0 million years ago, after separated from C. kokanica about 6.2 million years ago. In this study, transcriptome data of C. parvula at three different altitudes were also measured and analyzed. Kobresia plants genomes assembly and transcriptome analysis will assist research into mechanisms of plant adaptation to environments with high altitude and cold weather.
Randomized controlled trial of favipiravir, hydroxychloroquine, and standard care in patients with mild/moderate COVID-19 disease
Authors: AlQahtani Manaf , Kumar Nitya , Aljawder Dhuha , Abdulrahman Abdulkarim , Mohamed Mohammed Wael , Alnashaba Fatema , Fayyad Mohammed Abu , Alshaikh Faisal , Alsahaf Fatima , Saeed Sawsan , Almahroos Amal , Abdulrahim Zainab , Otoom Sameer , Atkin Stephen L. 
Published: March 2022

AbstractFavipiravir has antiviral activity against influenza, West Nile virus, and yellow fever virus and against flaviviruses. The objective of this pilot study was to compare three arms: favipiravir; hydroxychloroquine; standard care (no specific SARS-CoV-2 treatment) only, in symptomatic patients infected by SARS-CoV-2 in an open-labelled randomized clinical trial. The trial was registered with Bahrain National Taskforce for Combatting COVID-19 on the 7th of May 2020 (registration code: NCT04387760). 150 symptomatic patients with COVID-19 disease were randomized into one of three arms: favipiravir, hydroxychloroquine, or standard care only. The primary outcome was the clinical scale at the end of study follow up (day 14 or on discharge/death) based on a points scale. The secondary outcomes were viral clearance, biochemical parameter changes and mortality at 30-days. Baseline characteristics did not differ between groups. The proportion of patients who achieved a clinical scale < 2 did not differ between groups. The favipiravir-treated and hydroxychloroquine-treated group showed increased viral clearance (OR, 95%CI 2.38, 0.83–6.78, OR, 95%CI 2.15, 0.78–5.92, respectively) compared to standard care, but this was not significant. The biochemical profile did not differ between groups, except for the platelet count (P < 0.03) and uric acid (P < 0.004) that were higher with favipiravir-treatment. Primary or secondary outcome measures did not differ between favipiravir, hydroxychloroquine, and standard therapy for mild to moderate COVID-19 disease; therefore, whilst favipiravir therapy appeared safe with a trend to increased viral clearance, there was no superior therapeutic utility.Clinical trials registration. NCT04387760. Registration date: 07/05/2020.
Female hormones prevent sepsis-induced cardiac dysfunction: an experimental randomized study
Authors: Xerri Alexandre , Gallardo Frédéric , Kober Frank , Mathieu Calypso , Fourny Natacha , Tran Thi Thom , Mege Jean-Louis , Singer Mervyn , Lalevée Nathalie , Bernard Monique , Leone Marc 
Published: March 2022

AbstractAlthough epidemiologic research has demonstrated significant differences in incidence and outcomes of sepsis according to sex, their underlying biological mechanisms are poorly understood. Here, we studied the influence of hormonal status by comparing in vivo cardiac performances measured by MRI in non-ovariectomized and ovariectomized septic female rats. Control and ovariectomized rats were randomly allocated to the following groups: sham, sepsis and sepsis plus landiolol. Sepsis was induced by caecum ligation and punction (CLP). Landiolol, a short-acting selective β1-adrenergic blocker improving the in vivo cardiac performance of septic male rats was perfused continuously after sepsis induction. Cardiac MRI was carried out 18 h after induction of sepsis to assess in vivo cardiac function. Capillary permeability was evaluated by Evans Blue administration and measurement of its tissue extravasation. Variation in myocardial gene and protein expression was also assessed by qPCR and western-blot in the left ventricular tissue. Sepsis reduced indexed stroke volume, cardiac index and indexed end-diastolic volume compared to sham group in ovariectomized females whereas it had no effect in control females. This was associated with an overexpression of JAK2 expression and STAT3 phosphorylation on Ser727 site, and an inhibition of the adrenergic pathways in OVR females. Landiolol increased the indexed stroke volume by reversing the indexed end-diastolic volume reduction after sepsis in ovariectomized females, while it decreased indexed stroke volume and cardiac index in control. This was supported by an overexpression of genes involved in calcium influx in OVR females while an inactivation of the β-adrenergic and a calcium efflux pathway was observed in control females. Sepsis decreased in vivo cardiac performances in ovariectomized females but not in control females, presumably associated with a more pronounced inflammation, inhibition of the adrenergic pathway and calcium efflux defects. Administration of landiolol prevents this cardiac dysfunction in ovariectomized females with a probable activation of calcium influx, while it has deleterious effects in control females in which calcium efflux pathways were down-regulated.
Loss of KAP3 decreases intercellular adhesion and impairs intracellular transport of laminin in signet ring cell carcinoma of the stomach
Authors: Soda Tomohiro , Gen Yasuyuki , Terasaki Kei , Iwai Naoto , Kitaichi Tomoko , Dohi Osamu , Taketani Hiroyoshi , Seko Yuya , Umemura Atsushi , Nishikawa Taichiro , Yamaguchi Kanji , Moriguchi Michihisa , Konishi Hideyuki , Naito Yuji , Itoh Yoshito , Yasui Kohichiroh 
Published: March 2022

AbstractSignet-ring cell carcinoma (SRCC) is a unique subtype of gastric cancer that is impaired for cell–cell adhesion. The pathogenesis of SRCC remains unclear. Here, we show that expression of kinesin-associated protein 3 (KAP3), a cargo adaptor subunit of the kinesin superfamily protein 3 (KIF3), a motor protein, is specifically decreased in SRCC of the stomach. CRISPR/Cas9-mediated gene knockout experiments indicated that loss of KAP3 impairs the formation of circumferential actomyosin cables by inactivating RhoA, leading to the weakening of cell–cell adhesion. Furthermore, in KAP3 knockout cells, post-Golgi transport of laminin, a key component of the basement membrane, was inhibited, resulting in impaired basement membrane formation. Together, these findings uncover a potential role for KAP3 in the pathogenesis of SRCC of the stomach.
Effects of a gluten challenge in patients with irritable bowel syndrome: a randomized single-blind controlled clinical trial
Authors: Saadati Saeede , Sadeghi Amir , Mohaghegh-Shalmani Hamid , Rostami-Nejad Mohammad , Elli Luca , Asadzadeh-Aghdaei Hamid , Rodrigo Luis , Zali Mohammad Reza 
Published: March 2022

AbstractNon-celiac gluten sensitivity (NCGS) and irritable bowel syndrome (IBS) frequently overlap. Although, gluten-free diet (GFD) and low fermentable oligosaccharides, disaccharides, monosaccharides and polyols (FODMAP) improve the IBS clinical picture, many aspects remain unclear. Therefore, we designed a study to evaluate gluten tolerance, anxiety and quality of life in a specific study population. Fifty IBS patients were asked to follow a low FODMAP strict GFD for 6 weeks and were then randomly allocated to the following groups for a further 6 weeks: (A) receiving 8 g/day of gluten for 2 weeks; gluten-tolerating subjects received 16 g/day for 2 weeks and then 32 g/day for a further 2 weeks; (B) continuing to follow a low FODMAP strict GFD; and (C) receiving a gluten-containing diet. After the first 6 weeks, symptom scores significantly improved. Pain severity, bloating and total score were significantly decreased in the GFD and in the high-gluten groups, while the satiety score significantly increased in group C. Between-group analysis revealed significant differences for pain severity (p = 0.02), pain frequency (p = 0.04) and impact on community function (p = 0.02) at the end of the study. Our findings suggest that low FODMAP strict GFD could be prescribed in IBS patients and would reduce anxiety and improve the quality of life.
Long-term investigation of environmental radioactivity levels and public health around the Qinshan Nuclear Power Plant, China
Authors: Cao Yiyao , Lin Junping , Zhai Kangle , Jiang Wei , Zou Hua , Ren Hong , Wang Peng , Gao Xiangjing , Zhang Meibian , Yu Shunfei , Zhao Yaoxian , Xuan Zhiqiang , Zhang Dongxia , Liu Yulian , Lou Xiaoming 
Published: March 2022

AbstractTo evaluate the impact of the Qinshan Nuclear Power Plant (Qinshan NPP) in normal operation on the surrounding environment and population, the radioactivity levels of drinking water and the ambient environment, as well as the residents’ cancer incidence, were continuously monitored for a period of 9 years (2012–2020). All of the gross α and β radioactivity concentrations in drinking water were less than the WHO recommended values (0.5 Bq/L for gross α and 1 Bq/L for gross β). The results of ambient environment accumulated dose monitored by thermoluminescent dosimeters (TLDs) indicated that the ambient environment radioactive level around the Qinshan NPP is consistently at natural background radiation levels. The age-dependent annual effective doses due to the ingestion of tap water or exposure to the outdoor ambient environment are lower than the reference dose of 0.1 mSv/year. The corresponding excess risks are at relatively low levels. Thus, the consumption of drinking water and outdoor activities are not expected to give rise to any detectable adverse effects on the health of the public around the Qinshan NPP. For all cancers combined, the age-standardized incidence rate by the Chinese 2000 standard population of the inhabitants living around Qinshan NPP is consistent with that of Zhejiang Province as a whole. Based on current radiation risk estimates, radiation exposure is not a plausible explanation for any excess cancers observed in the vicinity of the Qinshan NPP.
An efficient condensing algorithm for fast closed loop dual‐mode nonlinear model predictive control
Authors: Gonzalez Villarreal Oscar Julian , Rossiter John Anthony , Tsourdos Antonios 
Published: March 2022

AbstractThis paper presents a novel computationally efficient Closed Loop Dual‐Mode Nonlinear Model Predictive Control scheme that uses closed loop models for condensing‐based multiple‐shooting frameworks which result in numerically robust optimisations. The proposed approach uses Time‐Varying gains obtained from solving the Time‐Varying Discrete Algebraic Ricatti Equation to embed feedback around the multiple‐shooting trajectory, and proves the equivalence of the solution with the standard approach, thus resulting in the exact same stability, recursive feasibility and convergence properties. Moreover, the paper proposes an efficient algorithm based on an extension of the well‐known condensing algorithm, which can be used within the so‐called Real‐Time Iteration Scheme to achieve real‐time performance. Simulations of a nonlinear ball‐plate system, as well as of an inverted pendulum, and its extension ‐ the triple inverted pendulum, are presented along the paper to demonstrate the advantages along with some disadvantages, focusing on the numerical conditioning, the disturbance rejection properties, and the computational performance.
Improved synchroextracting transform for frequency‐modulated signals
Authors: Wei Chenglong , Yu Gang , Zhou Yiqi , Li Rui 
Published: March 2022

AbstractThis paper focuses on improving the performance of synchroextracting transform technique in dealing with frequency‐modulated (FM) signals. For the time‐varying signal, the SET technique has shown some potential for extracting the instantaneous features of the signal. However, the theoretical framework of SET is established on the fact that the signal to be analysed should be stationary or slowly time‐varying. We consider expanding the theoretical fundamental of SET based on the linear FM signal model for a wider variety of practical applications.
Anomaly detection of steam turbine with hierarchical pre‐warning strategy
Authors: Yao Kun , Fan Shuangshuang , Wang Ying , Wan Jie , Yang Donghui , Cao Yong 
Published: March 2022

AbstractAnomaly detection of steam turbines is to recognize infrequent instances within sensor data that plays a vital role in stable power supply. Machine learning models have been applied to diagnose the faults of turbine and verified useful for identifying engine problem. To detect anomalies of steam turbines with machine learning methods, here, an approach called hierarchical pre‐warning strategy is proposed that combines clustering methods with classification methods. Three different clustering methods, K‐means, Isolation Forest and Local Outlier Factor, are chosen to separate anomalies from normal data. Since clustering results cannot give unanimous decision, the clustering instances are labelled with three classes, real anomalies, suspected anomalies and normal data, according to their overlapping recognition. Subsequently, five classification algorithms, k‐nearest neighbour, support vector machine, decision tree, random forest and gradient boosting decision tree, have been examined to train the labelled data set. The classification results illustrate that gradient boosting decision tree and random forest are much more precise to detect real anomalies of steam turbines. The real anomalies identified by clustering methods have been classified into suspected anomalies by this approach that is more practicable and consistent with ground truth.
Non‐convex nonlocal adaptive tight frame image deblurring
Authors: Shen Zhengwei 
Published: March 2022

AbstractThe challenge of the image restoration is to recover more detailed information from the degraded images. Based on the observations that wavelet frames have efficient representation ability to image details and the nonconvex regularization in the model may admit unbiased solutions, in this paper, in order to recover more details, a wavelet frames nonconvex ) regularization image restoration model is established that combing with a nonlocal adaptive mean doubly augmented Lagrangian (MDAL) method and context model. Specifically, a nonlocal adaptive MDAL method is proposed to solve the established nonconvex model. Furthermore, in order to mitigate the trade‐off between the regularization error and the noise magnification error, spatially adaptive wavelet thresholding methods based on the context model and nonlocal mean filter are introduced in the algorithm. The convergence analysis of this nonlocal adaptive nonconvex algorithm is also obtained using the KL inequality. Numerical experiments demonstrate that the proposed method has a competent deblurring and denoising ability, also is efficient and is comparable to state‐of‐the‐art methods.
Characteristics of electrical tree morphological in glass fibre reinforced epoxy resin under power frequency voltage
Authors: Wang Yongqiang , Huang Ziye , Zhang Xiaolei , Shang Jing 
Published: March 2022

AbstractTo study the influence of the arrangement of glass fibres on the growth morphology of electric dendrites, this paper conducted experiments on the initiation and cultivation of electric dendrites on insulation specimens with different glass fibre arrangements. The experimental results show that when the electric field is parallel to the glass fibres, the electric dendrites show linear growth with multiple branches; when the electric field is perpendicular to the glass fibres, the electric dendrites show aggregated growth. The analysis suggests that when the applied electric field is parallel to the glass fibre, to release the discharge energy in the main channel of the dendrite, the discharge in the track of the electric dendrite will drive the electric dendrite to grow along the interface area between the glass fibre and the epoxy resin. When the externally applied electric field is perpendicular to the glass fibre, the discharge within the electric dendrite discharge channel is high. To release the energy in the electrical tree channel, the blast in the electrical tree track induces the electrical tree branch to grow along the interface area and forward.