bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy Evaluation of Amniotic Membrane in the Treatment of Neonatal Extravasation: a Pilot Study
Authors: Kadivar Maliheh , Aminipouya Maryam , Afshani Seyyedeh Maryam , nasrabadi Seyed ali hashemi , Mirnia Kayvan 
Published: September 2021

Abstract
Intravenous treatment exposes the neonates to extravasation due to fragile and small veins and the long period required for treatment. Extravasation is leakage of fluids, nutrition, or drugs from a peripheral intravenous which could cause tissue damage. The injured complications range from local irritation to skin necrosis and severe scar formation after the healing. Several methods have been used to control the complications of extravasation. We used an Amniotic membrane, a biological dressing, for healing the wounds. Our object in this study is to examine whether the amniotic membrane can induce healing wounds following extravasations.This prospective 13-week single-arm clinical trial study was performed on five neonates from February 2020 till May 2021 in the children's medical center of Tehran University. Neonates with any gestational age and diagnosis of the wound due to extravasation entered our study. Neonates with skin disorders and wound stages of 1 and 2 were excluded from the study. Established wounds without necrosis and infection are treated with an amniotic membrane. The amniotic membrane covers the wound, and after 48 hours, the wound is rechecked. The sequence of replacing or removing the bandages is five to seven days until healing occurs.An amniotic membrane was applied to the wounds and the average time for healing was 2.5 weeks. The average gestational age was 33.6 weeks. We did not report any adverse reaction, and healing was without scar formation.Implementing an amniotic membrane for treating wounds due to Extravasation can be a new approach. This treatment route decreases graft requirement and can be implemented by expert nurses, so in remote NICUs, its usage is easy.
Anterior Segment Structures in Dark Iris Chinese Patients With Unilateral Fuchs’ Uveitis Syndrome
Authors: Cai Yajing , Wu Wenjie , Wang Yingbin , Xiao Suzhen , Huang Yue 
Published: September 2021

Abstract
Purpose: To compare binocular anterior segment structures in Chinese patients with dark iris and unilateral Fuchs’ uveitis syndrome (FUS).Methods: This was a cross-sectional study including 34 phakic eyes (17 patients) with unilateral FUS. Anterior segment parameters were measured by rotating Scheimpflug imaging camera, noncontact specular microscopy and anterior segment optical coherence tomography.Results: Corneal volume was higher in FUS eyes compared to unaffected eyes (p<0.05). The iridocorneal angles were larger in FUS eyes compared to contralateral eyes (p<0.05). Mean endothelial cell density (ECD) was lower, and the coefficient of variation in endothelial cell size (CV) and average cell area of endothelial cells (ACA) were higher, in FUS eyes (p<0.05). Mean densitometry values of the midstromal cornea (zones with a diameter of 0-2, 2-6, or 10-12 mm), posterior (0-2, 2-6, 10-12, or 0-12 mm), or total thickness (0-2 or 2-6 mm) were higher in FUS eyes compared with unaffected eyes (p<0.05). ECD, CV, and ACA were negatively related to densitometry values of the midstromal and posterior cornea in the FUS eyes (p<0.05). Smoothness index of iris was lager in affected eyes (p<0.05).Conclusion: In Chinese patients with unilateral FUS, loss of endothelial cells, wider iridocorneal angle, thicker cornea, higher corneal densitometry of midstromal and posterior layer, and smoother iris were observed in affected eyes compared to contralateral eyes. These data can help to elucidate anterior segment characteristics of unilateral FUS in this population.
Effect of PM2.5 Exposure On Gestational Hypertension and Fetal Size in Preeclampsia-Like Rats
Authors: Gao Jie , Luo Mei , Zhao Shuo , Wang Hailing , Li Xuan , Xu Pili , Ma Wei , Liu Chongdong 
Published: September 2021

Abstract
Studies have reported that gestational PM2.5 exposure is associated with preeclampsia (PE) and fetal growth restriction (FGR). However, whether maternal exposure to PM2.5 causes adverse pregnancy outcomes is still largely unknown. Pregnant Sprague-Dawley rats were exposed to either filtered (FA) or PM2.5 air during the whole pregnant period. A PE-like rat model was established by intraperitoneal injection of L-NAME (300 mg/kg) from GD12 to until GD20. Systolic blood pressure (SBP), weight gain, pup weight and placental weight were measured. The percentages of rat Treg/Th17 cells and Th17-related cytokines were examined by flow cytometry. Gene expression profiles were analyzed by microarray, and the expression of differentially expressed genes were validated by qRT-PCR. The results showed that maternal PM2.5 exposure had no effect on SBP but was associated with LBW and a higher labyrinth/basal zone ratio. The percentages of splenic Th17 cells from the PM2.5 group in PE-like rats were higher than those from the FA or PM2.5 groups in healthy controls. A significantly decreased Treg/Th17 cell ratio was found in the PM2.5 group in PE-like rats. The mRNA expression of Foxp3 was downregulated, while the mRNA expression of RORα and RORγτ was upregulated after PM2.5 exposure. Furthermore, we observed that both the mRNA and protein expression of TNF-a, CCL2, CCL3 and CCR1 increased in the PM2.5 groups. Our study suggested that systemic inflammation may contribute to the development of FGR associated with PM2.5 exposure throughout pregnancy.
The Roles of Competition and Facilitation in Producing Zonation Along an Experimental Flooding Gradient: A Tale of Two Tails with Ten Freshwater Marsh Plants
Authors: Campbell Daniel , Keddy Paul 
Published: September 2021

Abstract
Plant zonation is conspicuous in wetlands. The cause is frequently assumed to be the direct physiological effects of physical factors (termed ‘stress’), however many experiments show that competition and facilitation also cause zonation patterns. We conducted a field experiment with freshwater marsh emergent plants to test the causes of zonation along a single stress gradient: flooding duration. We constructed an experimental wetland with ten flooding levels to ensure that the environmental conditions represented the full range of potential flooding levels, from never flooded to continually flooded. We planted ten common marsh plants with varied ecology along the flooding duration gradient. We grew them alone and in mixture for three years and measured changes in the minimum and maximum limits, the mode and the range of distribution, and interaction importance. The mode of distribution did not shift, whether species were grown alone or with neighbours. We found strong effects of competition under low flooding stress. We found no effects from facilitation under high flooding stress. Flooding duration alone controlled the lower limits of plants. The effects of competition were intense enough to eliminate half of the species within three growing seasons. Our experiment showed that competition and physical stresses, but not facilitation, controls the zonation of emergent macrophytes along a flooding duration gradient, at least in freshwater wetlands. Models guiding wetland restoration need to include competition as well as flood duration as causal factors, but not facilitation.
A Methodology of DASs Benchmarking to Support Industrial Community Characteristics in Designing and Implementing Advanced Driver Assistance Systems Within Vehicles
Authors: Mahmoud U. S. , Albahri A. S. , AlSattar H. A. , Zaidan A. A. , Talal M. , Mohammed R. A. , Albahri O. S. , Zaidan B. B. , Alamoodi A. H. , Hadi S. M. 
Published: September 2021

Abstract
This study presents a novel benchmarking methodology for Data Acquisition System (DAS) types to support industrial community characteristics in designing and implementing the advanced driver assistance systems within vehicles, which is considered multicriteria decision-making (MCDM) problems. Four issues support this claim. Multiple criteria need to be considered in the evaluation, data variation, trade-off and conflict. Thus, an MCDM solution is essential to overcome problem complexity. In the last years, MCDM developed methods have been studied and criticised from different theoretical aspects. The most recent method, fuzzy decision by opinion score method (FDOSM), has proven its power in solving other methods challenges. However, the FDOSM technique and its extension were based on traditional fuzzy set theory, which is limited and unable to deal with the membership and non-membership hesitation simultaneously and that affect the accuracy of final decision especial among the group of decision-makers. Therefore, this study extended FDOSM into an intuitionistic fuzzy environment that considers the hesitation index in the membership definition, then discuss the power of such membership in evaluating and benchmarking the DAS systems. The proposed methodology comprises two consecutive phases. In the first phase, a decision matrix is formulated based on the crossover of the ‘DAS systems’ and ‘multiple evaluation criteria’. In the second phase, the new method (the intuitionistic FDOSM method) has two main stages (i.e. data transformation unit and data processing). The dataset was used to prove the concept. A total of 39 DASs were evaluated based on 14 DASs criteria, involving seven sub-criteria for “comprehensive complexity assessment” purpose and eight sub-criteria for “design and implementation” purpose, which highly affected the design of DAS when implantation occurred by industrial communities. The results of this study are as follows: (1) Individual results of benchmarking, which used three decision-makers are broad, with consensus on the DAS#1 system ranked as the best. (2) The results of the proposed GDMs proved quality in DASs benchmarking, and the DAS#1 system is also the best. (3) Intuitionistic FDOSM can deal with hesitation and uncertainty problems properly. (4) Significant differences were indicated among the groups’ scores, which proves the validity of the intuitionistic FDOSM results.
LPA3 Is a Precise Therapeutic Target And Potential Biomarker For Ovarian Cancer
Authors: Zhao Pengfei , Yun Qingru , Li Aodungerile , Li Rong , Yan Yali , Wang Yuewu , Sun Hongju , Damirin Alatangaole 
Published: September 2021

Abstract
Current studies have demonstrated that significant increased LPA levels to be observed in ascites in patients with ovarian cancer. Although several studies have shown that Lysophosphatidic acid (LPA) related to the progression of ovarian cancer, which LPA receptors (LPARs) and G coupled protein subtypes mediated in LPA actions have not been clearly elucidated. This study aimed to clarify the roles of LPA and it’s subtype-specific LPARs mediating mechanisms in ovarian cancer by integrated using bioinformatic analysis and biological experimental approaches. The big data analysis shown that LPA3 was the only differentially expressed LPA receptor among the six LPARs in ovarian cancer and further verified in immunohistochemistry of tissue microarrays. Also found that LPA3 was also highly expressed in ovarian cancer tissue and ovarian cancer cells. Importantly, LPA significantly promoted the proliferation and migration of LPA3-overexpressing ovarian cancer cells, while the LPA-induced actions blocked by Ki16425, a LPAR1/3 antagonist treated, and LPA3-shRNA transfected. In vivo study indicated that the LPA3-overexpressing cell derived tumors metastasis, tumors volume and tumors mass were apparently increased in xenografted nude mice. In addition, we also observed that LPA3 was differential high-expression in ovarian cancer tissue of the patients. Our studies further confirmed the LPA3/Gi/MAPKs/NF-κB signals were involved in LPA-induced oncogenic actions in ovarian cancer cells. Our findings indicated that the LPA3 might be a novel precise therapeutic target and potential biomarker for ovarian cancer.
Condensation of Synchronous Orbits on Complex Networks
Authors: Niu Ruiwu , Wu Xiaoqun , Feng Jianwen , Pan Gui-jun , Lu Jun-an , Chen Guanrong 
Published: September 2021

Abstract
In this paper we study frequency synchronization of Kuramoto oscillators. We find a typical phenomenon of condensed synchronous orbits on single-layer or duplex networks through statistical mechanics analysis and numerical simulations, where the distribution of synchronous orbits is in a bell-shaped form. Further, we investigate phase synchronization on single-layer and duplex networks with different distributions of inherent frequencies. We find that normally distributed inherent frequencies with low variances are more beneficial for phase synchronization, and separately distributed inherent frequencies can slow down the synchronization process. In the end, we investigate the influence of one layer's inherent frequencies on the other layer's phase synchronization through inter-layer couplings. Interestingly, we find that one layer's inherent frequencies with a highly condensed distribution can greatly improve phase synchronization on the other layer. The results shed new lights to our understanding of the nature of synchronization on single-layer as well as multilayer complex networks of coupled Kuramoto oscillators.
Relative Contribution of Amyloid-β Plaque Associated And Plaque Distant Microglia To Alzheimer’s Disease (AD) Progression
Authors: Hemonnot-Girard Anne-Laure , Meersseman Cédric , Pastore Manuela , Linck Nathalie , Rey Catherine , Lachuer Joël , Reynes Christelle , Rassendren François , Hirbec Helene 
Published: September 2021

Abstract
Background: Research in recent years firmly established that microglial cells play an important role in the pathogenesis of Alzheimer's disease (AD). In parallel, a series of studies showed that, under both homeostatic and pathological conditions, microglia are a heterogeneous cell population. In AD, amyloid-b (Ab) plaque-associated microglia (PAM) display a clearly distinct phenotype compared to plaque-distant microglia (PCM), suggesting that these two microglia subtypes likely differently contribute to disease progression. Methods: In this study, we combined cell-specific laser capture and RNA-seq analysis to investigate the functional role of both plaque-associated and plaque-distant microglia. Results: First, we established that this approach allows selective isolation of microglia, while preserving spatial information and preventing transcriptome changes induced by classical purification approaches. Then, we identified, in both microglia subpopulations, networks of co-deregulated genes and analyzed their potential functional roles in AD. In addition, we investigated the dynamics of microglia transcriptomic remodeling at early, intermediate and late stages of the disease. Conclusions: Our comprehensive study demonstrates that the proximity of microglia to Ab-plaques dramatically alters the microglial transcriptome and reveals that these changes can have both positive and negative impacts on the surrounding cells. These opposing effects may be driven by local microglia heterogeneity also demonstrated by this study. Our results also suggest that Ab plaque-associated microglia undergo exhaustion in the later stage of the disease. Our approach also allowed to molecularly define the overlooked plaque-distant microglia. We show, that although the transcriptomic changes are far less striking compared to what is observed in plaque-associated microglia, plaque-distant microglia are not bystanders of the disease. In particular, our results suggest they are involved in Ab oligomer detection and in Ab-plaque initiation, with increased contribution as the disease progresses.
Effects of External Dynamic Disturbances And Structural Plane On Rock Fracturing Around Deep Underground Cavern
Authors: Feng Fan , Chen Shaojie , Zhao Xingdong , Li Diyuan , Wang Xianlai , Cui Jiqiang 
Published: September 2021

Abstract
The occurrence of disasters in deep mining engineering has been confirmed to be closely related to the external dynamic disturbances and geological discontinuities. Thus, a combined finite-element approach was employed to simulate the failure process of an underground cavern, which provided insights into the failure mechanism of deep hard rock affected by factors such as the dynamic stress-wave amplitudes, disturbance direction, and dip angles of the structural plane. The crack-propagation process, stress-field distribution, displacement, velocity of failed rock, and failure zone around the circular cavern were analyzed to identify the dynamic response and failure properties of the underground structures. The simulation results indicated that the dynamic disturbance direction had less influence on the dynamic response for the constant in situ stress state, while the failure intensity and damage range around the cavern always exhibited a monotonically increasing trend with an increase in the dynamic load (stress-wave amplitudes). The crack distribution around the circular cavern exhibited an asymmetric pattern, possibly owing to the stress-wave reflection behavior and attenuation effect along the propagation route. Geological discontinuities significantly affected the stability of nearby caverns subjected to dynamic disturbances, during which the failure intensity exhibited the pattern of an initial increase followed by a decrease with an increase in the dip angle of the structural plane. Additionally, the dynamic disturbance direction led to variations in the crack distribution for specific structural planes and stress states. These results indicate that the failure behavior should be the integrated response of the excavation unloading effect, geological conditions, and external dynamic disturbances.
ChK1 Activation Induces Reactive Astrogliosis Through CIP2A/PP2A/STAT3 Pathway In Alzheimer's Disease
Authors: Zhou Ying , Liu Xiaoyuan , Ma Shuqing , Yang Dichen , Zhang Nan , Ye Simin , Zhang Qiongying , Ruan Jing , Ma Jun , Wang Shiyi , Jiang Nan , Zhao Zongyuan , Zhao Shujue , Zheng Chenfei , Fan Xiaofang , Gong Yongsheng , Wang Xiaochuan , Fan Junming , Li Jianmin , Liu Rong , Shentu Yangping 
Published: September 2021

Abstract
Background: In Alzheimer’s disease (AD), activation of astrocyte participates in the development of neurodegenerative diseases through neuroinflammation and disturbs glia-neuron interaction. Cancerous Inhibitor of PP2A (CIP2A) is an endogenous PP2A inhibitor. CIP2A upregulation specifically in astrocytes causes reactive astrogliosis, synaptic degeneration and cognitive deficits. However, the underlying mechanism of CIP2A upregulation remains unclear. Methods: In 3xTg-AD mice, we determined ChK1 was activated and related to DNA damage upregulating CIP2A by WB. We transfected EGFP-ChK1 plasmid into HEK293-T cell to determine ChK1 induces CIP2A upregulation and PP2A inhibition. We incubated Aβ and infected GFAP-ChK1-LV into primary astrocytes to confirm the signaling pathway in astrocytes and astrogliosis in AD. GFAP-ChK1-AAV was injected into C57/BL6 mice to induce specific expression of target protein in astrocytes. ChK1 inhibitor (SB) was performed to reverse the ChK1 activity. Outcomes were assessed using molecular (immunofluorescent staining, Western Blot and Golgi staining) measures to estimate symptomatic pathology and behavioral (NORT, OLT, MWM and FCT) measures to assess cognitive function. For most experiments, subjects were randomly assigned to experimental groups, and data were collected under blinded experimental conditions.Results: We demonstrated that DNA damage related Checkpoint kinase 1 (ChK1) was activated in 3xTg-AD mice. ChK1-mediated CIP2A overexpression drove inhibition of PP2A and activated STAT3, then led to reactive astrogliosis and neurodegeneration in vitro. Infection of mouse brain with GFAP-ChK1-AAV induced AD-like cognitive deficits and exacerbated AD pathologies in vivo. In conclusion, we showed that ChK1 activation induced reactive astrogliosis, degeneration of neurons and deterioration of AD through CIP2A-PP2A-STAT3 pathway, and inhibiting ChK1 might be a potential therapeutic approach for AD treatment.Conclusions: These results suggest that ChK1 is upregulated in 3xTg-AD mice, ChK1-mediated CIP2A overexpression drives inhibition of PP2A and activates STAT3, then leads to reactive astrogliosis, neurodegeneration and AD-like cognitive deficits in vitro and in vivo.
Physics-Guided and Physics-Explainable Recurrent Neural Network for Time Dynamics in Optical Resonances
Authors: Tang Yingheng , Fan Jichao , Li Xinwei , Ma Jianzhu , Qi Minghao , Yu Cunxi , Gao Weilu 
Published: September 2021

Abstract
Understanding the time evolution of physical systems is crucial to revealing fundamental characteristics that are hidden in frequency domain. In optical science, high-quality resonance cavities and enhanced interactions with matters are at the heart of modern quantum technologies. However, capturing their time dynamics in real-world scenarios suffers from long data acquisition and low analysis accuracy due to slow convergence and limited time window. Here, we report a physics-guided and physics-explainable recurrent neural network to precisely forecast the time-domain response of resonance features with the shortest acquired input sequence being 7% of full length, and to infer corresponding resonance frequencies. The model is trained in a two-step multi-fidelity framework for high-accuracy forecast, where the first step is based on a large amount of low-fidelity physical-model-generated synthetic data and second step involves a small set of high-fidelity application-oriented observational data. Through both simulations and experiments, we demonstrate that the model is universally applicable to a wide range of resonances, including dielectric metasurfaces, graphene plasmonics, and ultrastrongly coupled Landau polaritons, where our model accurately captures small signal features and learns essential physical quantities. The demonstrated machine learning algorithm offers a new way to accelerate the exploration of physical phenomena and the design of devices under resonance-enhanced light-matter interaction.
Analytical Modeling of Sensitivity Parameters Influenced by Practically Feasible Arrangement of Bio-molecules in Dielectric Modulated FET Biosensor
Authors: Das Rahul , Chattopadhyay Ankush , Chanda Manash , Sarkar Chandan K. , Bose Chayanika 
Published: September 2021

Abstract
In this paper, analytical modeling of a Dielectric Modulated Double Gate Field Effect Transistor (DM-DGFET) for biosensing application is presented with extensive data analysis. Firstly, the size of the nanogaps and arrangements of biomolecules in those gaps are optimized with respect to the sensitivity of the above sensor. The optimized DM-DGFET is next analyzed on the basis of its modeling and simulation. This paper addresses novel issues arising from arrangements of biomolecules, especially from practical point of view. Effect of probe placement due to steric hindrance and random nature of biomolecules, are also considered. The capacitances associated with the nanogaps occupied by biomolecules, following various arrangements, are modeled. Expressions of the threshold voltage, drain current and its sensitivity in terms of variations are also derived using the capacitance model. A comparative study of the proposed and the existing architectures is made. The influence of process variation on the sensitivity of the sensor is also studied. The results from the proposed analytical model are validated with the simulated data obtained from TCAD device simulator. In conclusion, the proposed DM-DGFET based biosensor architecture will emerge as an optimal model, very useful for the study on this field in future.