857 research outputs found
Building mega data center from heterogeneous containers
No full textData center containers are regarded as the basic units to build mega data centers. In practice, heterogeneity exists among data center containers, because of technical innovation and vendor diversity. In this paper, we propose uFix, a scalable, flexible and modularized network architecture to interconnect heterogeneous data center containers. The inter-container connection rule in uFix is designed in such a way that it can flexibly scale to a huge number of servers with stable server/switch hardware settings. uFix allows modularized and fault-tolerant routing by completely decoupling inter-container routing from intra-container routing. We implement a software-based uFix stack on the Linux platform. Simulation and experiment results show that uFix enjoys high network capacity, gracefully handles server/switch failures, and brings light-weight CPU overhead onto data center servers
Data for: Development and Evaluation of a Novel Seawater-Based Viscoelastic Fracturing Fluid System
No full textThe dataset includes the all of the data which was not shown in the manuscript. People can read it by Origin software
High-temperature-tolerant flexible supercapacitors: Gel polymer electrolytes and electrode materials
No full textThe development of flexible supercapacitors (FSCs) capable of operating at high temperatures is crucial for expanding the application areas and operating conditions of supercapacitors. Gel polymer electrolytes and electrode materials stand as two key components that significantly impact the efficacy of high- temperature-tolerant FSCs (HT-FSCs). They should not only exhibit high electrochemical performance and excellent flexibility, but also withstand intense thermal stress. Considerable efforts have been devoted to enhancing their thermal stability while maintaining high electrochemical and mechanical performance. In this review, the fundamentals of HT-FSCs are outlined. A comprehensive overview of state-of-the-art progress and achievements in HT-FSCs, with a focus on thermally stable gel polymer electrolytes and electrode materials is provided. Finally, challenges and future perspectives regarding HT-FSCs are discussed, alongside strategies for elevating operational temperatures and performance. This review offers both theoretical foundations and practical guidelines for designing and manufacturing HT-FSCs, further promoting their widespread adoption across diverse fields. (c) 2024 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by ELSEVIER B.V. and Science Press. All rights are reserved, including those for text and data mining, AI training, and similar technologies.S. Yu likes to acknowledge the financial supports from Fundamental Research Funds for the Central Universities of China(Grant No. SWU-KT22030) and Scientific and Technological Research Program of Chongqing Municipal Education Commission of China (No. KJQN202300205). N.Y. thanks the financial support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the project of 457444676
Boron-doped diamond decorated with metal-organic framework-derived compounds for high-voltage aqueous asymmetric supercapacitors
No full textConductive diamond has been recognized as a promising electrode material for supercapacitors due to its excellent stability and broad electrochemical potential window. To enhance the performance of diamond-based supercapacitors, this study focuses on two key strategies: incorporating redox-active species on the electrodes and/or in the electrolytes to increase the capacitance, and constructing asymmetric supercapacitors to expand the operating voltage range. In this context, pseudocapacitive Co3O4@boron doped diamond (BDD) and Bi-Bi2O3@BDD were synthesized using metal-organic framework (MOF) decorated BDD of Co-MOF@BDD and Bi-MOF@BDD as precursor materials, respectively. An aqueous asymmetric supercapacitor was then assembled using a pseudocapacitive electrode/redox electrolyte system of Co3O4@BDD | 3.0 M KOH+0.05 M K3Fe(CN)6/K4Fe(CN)6 as the positive compartment, and Bi-Bi2O3@BDD | 3.0 M KOH as the negative compartment. The resulting device demonstrated a wide operating voltage of 1.7 V, a maximal energy density of 10.0 Wh L-1 at a power density of 333.2 W L-1. The remarkable performance can be attributed to the Faradaic redox reactions involving [Fe(CN)6]3-/4-, Co3+/Co4+, Bi0/Bi2+/Bi3+ in the electrode materials and electrolytes. This work presents a novel way for fabricating aqueous supercapacitors with high voltage, high energy and power densities, offering significant potential for various energy storage applications
Single-Walled Carbon Nanohorns Inhibit Proliferation of Conjunctival Melanoma Cell Lines CRMM-1 and Involved in Energy Metabolism
No full textSWNHs induces accumulate with the levels of cytotoxic effects on different cell types and organs in animal models; it in a wide range may used for biomedical imaging. Conjunctival melanoma is a rare but potentially fatal ocular surface tumor. Recent studies of us have indicated the ability of SWNHs to inhibit proliferation of conjunctival melanoma cell line CRMM-1. But the role and molecular mechanisms of it was unclear. To address this question, the research about direct role of SWNHs on the growth, proliferation and apoptosis of CRMM-1 had been performed. Our results indicate that followed with the increasing concentrations of SWNHs, the number of cells decreased and apoptotic cells increased significantly. SWNHs delayed obviously mitotic entry of cells, and these effects followed the cultured time and the gradually increasing concentrations of SWNHs. SWNHs inhibited proliferation of cells at each time point in a time and dose-dependent manner, too. The TEM images showed that individual spherical SWNHs particles smaller than 100 nm in diameters were localized inside cytoplasma of cells. In summary, SWNHs inhibited mitotic entry, growth and proliferation of conjunctival melanoma cells and promoted its apoptosis, inhibited energy metabolism of cells in a dose-dependent manner. The roles of SWNHS on conjunctival melanoma cells were implicating energy metabolism. It may be the effective methods for treatment to conjunctival melanoma.Chemistry, MultidisciplinaryNanoscience & NanotechnologyMaterials Science, MultidisciplinaryPhysics, AppliedPhysics, Condensed MatterSCI(E)EI0ARTICLE21821-18301
Radiographic features of congenital thumb duplication type C2 of Wu et al. classification: new subtypes and surgical strategies
No full textObjective: This study aimed (i) to evaluate the radiographic characteristics of patients with congenital thumb duplication (CTD) type C2 according to the classification of Wu et al., (ii) to describe the various subtypes of type C2 CTD, and (iii) to propose a classification system that allows the identification of different surgical strategies based on the radiographic anatomy of this specific subtype of duplication.
Methods: We retrospectively reviewed 92 patients (92 thumbs) with type C2 CTD according to the Wu et al. classification in our institution between August 2015 and April 2021. All CTDs were classified according to the interphalangeal joint alignment of the main thumb at the posteroanterior radiograph of the thumb before operation: type I (no deviation), type II (ulnar deviation), and type III (radial deviation).
Results: All CTDs (n = 92) could be classified according to the proposed classification system: 76 (82.6%) were type I, 10 (10.9%) were type II, and six were type III (6.5%). According to the Kim system of subtype classification, there were 55 (59.8%) type 1, 24 (26.1%) type 2, and 13 (14.1%) type 3 cases.
Conclusions: The suggested classification completes the Wu et al. system and has the potential to guide surgical treatment in children with type C2 CTD.
Level of evidence: III.Objective: This study aimed (i) to evaluate the radiographic characteristics of patients with congenital thumb duplication (CTD) type C2 according to the classification of Wu et al., (ii) to describe the various subtypes of type C2 CTD, and (iii) to propose a classification system that allows the identification of different surgical strategies based on the radiographic anatomy of this specific subtype of duplication. Methods: We retrospectively reviewed 92 patients (92 thumbs) with type C2 CTD according to the Wu et al. classification in our institution between August 2015 and April 2021. All CTDs were classified according to the interphalangeal joint alignment of the main thumb at the posteroanterior radiograph of the thumb before operation: type I (no deviation), type II (ulnar deviation), and type III (radial deviation). Results: All CTDs (n = 92) could be classified according to the proposed classification system: 76 (82.6%) were type I, 10 (10.9%) were type II, and six were type III (6.5%). According to the Kim system of subtype classification, there were 55 (59.8%) type 1, 24 (26.1%) type 2, and 13 (14.1%) type 3 cases. Conclusions: The suggested classification completes the Wu et al. system and has the potential to guide surgical treatment in children with type C2 CTD. Level of evidence: III
Role of Increased miR-222-3p Expression in Peripheral Blood and Wound Marginal Tissues of Type 2 Diabetes Mellitus Patients with Diabetic Foot Ulcer
No full textRuyan Jie,* Jing Qian,* Ying Tang,* Yutong Li, Murong Xu, Xiaotong Zhao, Mingwei Chen Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230032, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaotong Zhao; Mingwei Chen, Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei, Anhui, 230032, People’s Republic of China, Tel +86-551-2923631, Fax +86-551-2922160, Email [email protected]; [email protected]: To study the correlations of miR-222-3p expression in the peripheral blood and wound marginal tissues of type 2 diabetes mellitus (T2DM) patients with the onset of diabetic foot ulcer (DFU), as well as explore the clinical value possessed by miR-222-3p in the diagnosis and treatment outcomes of DFU.Methods: The study included 70 T2DM patients who did not suffer foot ulcers (T2DM group), 146 T2DM patients who suffered foot ulcers (DFU group), as well as 70 normal controls (NC group). Quantitative real-time PCR determined the MiR-222-3p relative expression. Clinical features and risk factors regarding DFU were assessed. Multiple stepwise logistic regression analysis assisted in confirming whether miR-222-3p expression could serve for independently predicting the risk factors for DFU. ROC curve analysis evaluated the diagnostic value exhibited by miR-222-3p level against DFU.Results: T2DM group exhibited an obviously higher MiR-222-3p expression relative to NC group [1.98 (0.98, 3.62) vs 0.92 (0.61, 1.87)] (P < 0.01), but DFU group exhibited an obviously higher miR-222-3p expression relative to T2DM group [5.61 (1.98, 10.24) vs 1.98 (0.98, 3.62)] (P < 0.01). Besides, miR-222-3p expression presented a negative correlation with DFU healing rate (P < 0.05). According to Kaplan–Meier survival curve analysis, the group with high miR-222-3p expression showed higher unhealed DFU cumulative rate relative to the group with low expression (log-rank, P = 0.011, 0.001, respectively). Multivariate logistic regression analysis confirmed that high miR-222-3p expressions could independently predict DFU risk (OR=3.85, 95% CI 1.18~12.37, P = 0.008). According to the ROC curve analysis, the AUC of miR-222-3p specific to DFU diagnosis reached 0.803, with the best sensitivity of 95.93% and best specificity of 96.27%.Conclusion: The increased expression of miR-222-3p in the peripheral blood of T2DM patients is closely related to the occurrence of DFU. MiR-222-3p is a biomarker with potential clinical value in diagnosing and evaluating the prognosis of DFU.Keywords: miR-222-3p, diabetic foot ulcer, type 2 diabetes mellitus, microRNA, biomarke
The co-integration analysis of relationship between industrial economy and gross national product of China
No full textStructure-property relationships in amorphous solids via atomic simulations and machine learning
No full textThe establishment of structure-property relationships is a central goal of materials science. For amorphous solids or glasses, the disordered nature of their internal structure poses major challenges to building a quantitative correlation between their (local) atomic configurations and their properties. Via atomistic simulations and state-of-the-art machine learning technologies this work reveals that there is indeed strong correlation between both dynamic and static structure information and multiple properties in several distinct model glasses including amorphous silicon, Cu-Zr metallic glasses at different compositions and a two-dimensional binary Lennard-Jones glass model. Firstly, we demonstrate that flexibility volume, which is a structural indicator previously designed for metallic glasses that incorporates both static and dynamic information, correlates well with several important properties in amorphous silicon. This, combined with earlier study for metallic glasses, points out the universality of flexibility volume as an indicator of the structural state, applicable across amorphous materials with different chemical bonding and atomic packing structures. Secondly, we explain the plastic flow observed in recent experiments on both metallic glasses and covalently bonded network glasses from the standpoint of the flexibility available in the amorphous structure, and we suggest several feasible routes to tune flexibility in glasses. Thirdly, with the help of a simple machine learning model, we show that the degree of flexibility in amorphous solids can be accessed from static structural information, i.e., the local radial density distribution, which is easier to obtain. Fourthly, by designing a new rotation-variant structure representation, in conjunction with a powerful deep learning model, we achieve unprecedented accuracy in predicting particles with high plastic susceptibility solely from static structure in both two- and three-dimensional model glasses. In addition, we are able to obtain new insight into the critical structural features responsible for the anisotropy of local mechanical response in glasses. Finally, we illustrate that the initiation positions of shear bands can be forecasted from the density distribution of fertile sites predicted by deep learning models. These contributions are anticipated to enhance our understanding of structure-property relationships in amorphous solids and to prove useful in searching for amorphous materials with desired performance characteristics
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