78 research outputs found

    The impact of the international construction standard application capability on contractors’ competitiveness: Chinese contractors’ experience

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    The application capability of international construction standards (ICS) has become a necessary element for the success of contractors in the international market. However, there is a lack of quantitative analysis of the impact of ICS application capability on contractors’ competitiveness. This paper aims to explore the driving paths between them. The authors divided the competitiveness indicators into market performance indicators and image performance indicators and developed a standard application capability measurement scale based on five dimensions (knowledge learning, talent guarantee, technical support, relationship management and organization guarantee). Then, a structural equation model (SEM), in which project performance was regarded as a mediator variable, was established to investigate the path and intensity of ICS application capability on contractors’ competitiveness. A questionnaire was distributed to the project personnel of Chinese contractors engaged in international projects, and 174 valid questionnaires were collected. The results show that 1) relationship management and technical support have a direct driving effect on the competitiveness of contractors; 2) talent guarantees and organization guarantees affect contractors’ competitiveness through project performance. This study can remind contractors of the importance of the ICS application capability and the weakness of ICS application. Additionally, it will ultimately help contractors adjust their competitiveness strategies

    Identifying Novel Copy Number Variants in Azoospermia Factor Regions and Evaluating Their Effects on Spermatogenic Impairment

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    Microdeletions in Y-chromosomal azoospermia factor (AZF) regions have been regarded as the risk factor of spermatogenic failure (SF). However, AZF-linked duplications or complex copy number variants (CNVs) (deletion + duplication) were rarely studied. In this study, we performed multiplex ligation-dependent probe amplification (MLPA) analysis on 402 fertile healthy male controls and 423 idiopathic infertile SF patients (197 azoospermia and 226 oligozoospermia) in Han Chinese population. In total, twenty-four types of AZF-linked CNVs were identified in our study, including eleven novel CNVs (one deletion, seven duplications, and three complex CNVs). Our study revealed that AZFc-linked duplications and the instability of Y chromosome might be associated with spermatogenesis. Besides, the complex CNVs (b2/b3 deletion + DAZ1/2 duplication) were confirmed to increase genetic risks for SF in Han Chinese population. This study illustrated a spectrum of AZF-linked CNVs and presented valuable information for understanding the clinical significance of AZF-linked CNVs in male infertility

    Prenatal Diagnosis of Recurrent Distal 1q21.1 Duplication in Three Fetuses With Ultrasound Anomalies

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    Background: The phenotype of duplication of 1q21.1 region is variable, ranging from macrocephaly, autism spectrum disorder, congenital anomalies, to a normal phenotype. Few cases have been reported in the literature regarding prenatal diagnosis of 1q21.1 duplication syndrome. The current study presents prenatal diagnosis of 1q21.1 duplication syndrome in three fetuses with ultrasound anomalies.Case presentation: Three fetuses from three unrelated families were included in the study. The prenatal routine ultrasound examination showed nasal bone loss in Fetus 1 and Fetus 3, as well as duodenal atresia in Fetus 2. Chromosomal microarray analysis was performed to provide genetic analysis of amniotic fluid and parental blood samples. The CMA results revealed two de novo duplications of 1.34 and 2.69 Mb at distal 1q21.1 region in two fetuses with absent nasal bone, as well as a maternal inherited 1.35-Mb duplication at distal 1q21.1 in one fetus with duodenal atresia.Conclusions: The phenotype of 1q21.1 duplication syndrome in prenatal diagnosis is variable. The fetuses with nasal bone loss or duodenal atresia may be related to 1q21.1 duplication and chromosomal microarray analysis should be performed

    Semi-supervised knowledge distillation framework for global-scale urban man-made object remote sensing mapping

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    Accurate mapping of global urban man-made objects such as buildings and roads is critical for monitoring urbanization. Remote sensing imagery provides a cost-effective way of mapping these objects, but the challenge of “knowledge forgetting” arises due to urban diversity and the continuous growth of global samples. Although the existing knowledge distillation approaches can transfer knowledge from a larger teacher model to a smaller student model by distilling the knowledge learned from reliable labels, they fail to work for global-scale mapping, which lies in two aspects: low-quality labeling and fixed-size models. In this paper, we propose GUMONet, which is a semi-supervised knowledge distillation framework for global-scale urban man-made object mapping. For the first phase, a label diversity progressive learning module is introduced for generating high-quality labels in a semi-supervised manner. Label diversity is used to measure the diverse urban patterns based on spatial-semantic uncertainty, where the diversified labels clustered in object boundaries and heterogeneous areas are attributed to high spatial uncertainty and semantic uncertainty, respectively. Based on the label diversity, the model decision boundary is progressively determined from coarse to fine. Specifically, at the early stage, instances away from the decision boundary are selected to ensure the stability of the model training. As the iteration progresses, instances close to the decision boundary are associated with a higher probability of further enhancing the quality of the uncertain labels by hard sample mining. For the second phase, a size-variable knowledge distillation module is adopted to optimize the data-model matching process. This module consists of a noise teacher model that prevents overfitting by injecting noise perturbations to increase the data distribution complexity and a size-variable student model that avoids underfitting by dynamically adjusting its size with the growth of global samples. We applied GUMONet to six study areas across four continents, with data from different sensors, achieving an 18.97% improvement in intersection over union, compared with the previous methods. Our results also demonstrate a positive correlation between urban development and urban diversity, with a correlation coefficient of 0.749. As urban development progresses, urban diversity stabilizes and building transformation becomes the primary means of promoting further development

    Hollow-core air-gap anti-resonant fiber couplers

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    We design, fabricate, and demonstrate the first hollow-core air-gap anti-resonant fiber coupler in a dual hollow-core anti-resonant fiber (DHAF) structure. The coupling takes place through an air gap between air cores, promising a limitless operation window beyond material transmission. The DHAF follows the same waveguide mechanism as the hollow-core anti-resonant fiber (HAF). The coupling is attainable over the entire transmission bands determined by a resonant frequency of a HAF. A coupling length, thus coupling strength, is controllable by adjusting fiber design parameters. In addition, at a fixed design and length, the coupling strength linearly responds to longitudinal mechanical tension, enabling continuous variable coupling ratio in a single coupler. Furthermore, we confirm that the coupler is polarization insensitive, and does not require precise polarization alignment of an input beam. We demonstrate its robust coupling performance and applicability in forming a fiber laser ring cavity, and delivering and power splitting ultrafast laser pulse. The air-core air-gap coupling promises applications in mid-infrared and ultraviolet regions where the current coupling technology is limited.Published versio
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