We describe a novel experimental system in mice for the study of ovarian autoimmune disease, condition encountered women with premature failure. The disease is induced B6AF1 by 15-amino acid peptide (Cys-Ser-Asn-Ser-Ser-Ser-Ser-Gln-Phe-Gln-Ile-His-Gly-Pro-Arg) from mouse ZP3, sperm-binding component zona pellucida that surrounds growing and mature oocytes. Whereas induces both T cell antibody responses, adoptive transfer CD4+ lines derived affected animals causes oophoritis without...

Photoacoustic computed tomography (PACT) and ultrasound (USCT) are emerging modalities for breast imaging. As in all imaging technologies, computer-simulation studies play a critically important role developing optimizing the designs of hardware image reconstruction methods PACT USCT. Using computer-simulations, parameters an system can be systematically comprehensively explored way that is generally not possible through experimentation. When conducting such studies, numerical phantoms...

Network robustness is critical for various societal and industrial networks again malicious attacks. In particular, connectivity controllability reflect how well a networked system can maintain its connectedness against destructive attacks, which be quantified by sequence of values that record the remaining network after node- or edge-removal Traditionally, determined attack simulations, are computationally very time-consuming even practically infeasible. this paper, an improved method...

Network robustness is critical for various industrial and social networks against malicious attacks, which has meanings in different research contexts here it refers to the ability of a network sustain its functionality when fraction fail work due attacks. The rapid development complex indicates special interest great concern about robustness, essential further analyzing optimizing structures towards engineering applications. This comprehensive survey distills important findings developments...

Neonatal splenocytes, neonatal thymocytes, or phenotypically mature adult transferred from normal BALB/c mice to syngeneic athymic nu/nu (or SCID) mice, led autoimmune oophoritis and gastritis, with corresponding serum autoantibodies, in the recipients. The overall disease incidence was 73%; pathology ranged mild severe, complete loss of ovarian follicles gastric parietal cells. CD4+ spleen cells CD8- thymocytes were required for induction. Adult did not elicit disease, but they prevented...

Network controllability measures how well a networked system can be controlled to target state, and its robustness reflects the maintain against malicious attacks by means of node removals or edge removals. The measure network is quantified number external control inputs needed recover retain after occurrence an unexpected attack. robustness, on other hand, sequence values that record remaining attacks. Traditionally, determined attack simulations, which computationally time consuming. In...

Liquid metal (LM) is used as fillers gradient dispersed in polymer matrix to prepared LM fiber. Such fiber showed distinguished thermally programmable shapes and electrical conductivities.

CD8(+) T cells infiltrate the lung in many clinical conditions, particularly interstitial disease. The role(s) that might be playing pathogenesis of inflammatory disease is unclear at present, as direct contribution cell effector activities to injury. This report describes a transgenic model used evaluate impact, on respiratory structure and function, lymphocyte recognition target antigen expressed endogenously alveolar epithelial cells. We found adoptive transfer cloned cytotoxic...

This brief introduces a quantitative measure of the robustness network controllability, and presents an empirical comparison on 6 models, i.e., random-graph network, scale-free multiplex concurrence q-snapback random triangle rectangle against different attacks, betweenness-based degree-based, targeted, node-removal, edge-removal showing overall good performances multi-ring structure in networks.

Network controllability robustness (CR) reflects how well a networked system can maintain its against destructive attacks. Its measure is quantified by sequence of values that record the remaining network after node-removal or edge-removal Traditionally, CR determined attack simulations, which computationally time-consuming even infeasible. In this article, an improved method for predicting developed based on machine learning using group convolutional neural networks (CNNs). scheme, number...

To quantitatively measure the connectedness robustness of a complex network, sequence values that record remaining network after node- or edge-removal attacks can be used. However, it is computationally time-consuming to by attack simulations for large-scale networked systems. In present paper, an efficient method based on convolutional neural (CNN) proposed train estimating robustness. The new approach motivated facts 1) adjacency matrix converted gray-scale image and CNN very powerful...

To better understand the correlation between network topological features and robustness of controllability in a general setting, this paper suggests practical approach to searching for optimal topologies with given numbers nodes edges. Since theoretical analysis seems impossible at least present time, exhaustive search based on optimization techniques is employed, firstly group small-sized networks that are realistically workable, where means 1) all possible structures edges computed...

Abstract Growing interests have been received in metal‐polymer hybrid composites for their combined features of metals and polymer. However, the detrimental incompatibility between inorganic organic polymer matrix makes it challenging to prepare homogenous advanced applications. This work reports using disulfides, as interactive binding bonds, interact with liquid (LMs) fabricating metal‐disulfide (LMDS) composites. The interaction disulfides lead uniform dispersion LM droplets strengthen...

Abstract Complex networks contain complete subgraphs such as nodes, edges, triangles, etc., referred to simplices and cliques of different orders. Notably, cavities consisting higher-order play an important role in brain functions. Since searching for maximum is NP-complete problem, we use k-core decomposition determine the computability a given network. For computable network, design search method with implementable algorithm finding orders, obtaining also Euler characteristic number. Then,...

Abstract Network controllability refers to the ability of a networked system drive its state any desired configuration through control inputs. Controllability robustness ensures that this capability is maintained or retained under structural variations, such as node edge failures caused by malicious attacks random perturbations, which critically important for real-world networks. This paper reviews existing metrics, evaluation methods and optimization strategies robustness, introducing also...

Abstract Thermoplastic conductive composites are significant materials in modern electronic technologies due to their universal fabrication conditions, phenomenal electrical conductivity, and remarkable mechanical properties. However, the heavy phase separation occurs during thermo‐processing between inorganic fillers polymer matrixes. Conventional thermoplastic exhibit low undesirable properties, which significantly restrict applications. This work successfully arrives at solution for...

The addition of corrosion inhibition additives in reinforced concrete is the most common measure for anti-corrosion steel rebar. In a large number traditional researches, scholars often pay more attention to effect and mechanism additives. However, various have significant effects on properties concrete, especially hydration process cement. This will further affect performance concrete. paper takes cement as main line, systematically analyzes influence types heat release, rate product...

Laser Optoacoustic Ultrasonic Imaging System Assembly (LOUISA-3D) was developed in response to demand of diagnostic radiologists for an advanced screening system the breast improve on low sensitivity x-ray based modalities mammography and tomosynthesis dense heterogeneous specificity magnetic resonance imaging. It is our working hypothesis that co-registration quantitatively accurate functional images vasculature microvasculature, anatomical morphological structures will provide a clinically...