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Background: It is an important clinical means to identify benign and malignant breast diseases caused by nipple discharge through the detection and analysis of components in nipple discharge. This study was aimed to test the expression and clinical significance of carbohydrate antigen 125 (CA125), carbohydrate antigen 153 (CA153) and carcinoembryonic antigen (CEA) in nipple discharge of breast cancer patients. Methods: From January 2017 to December 2018, 86 patients with invasive ductal carcinoma of the breast with nipple discharge (breast cancer group) and 50 patients with ordinary breast duct hyperplasia with nipple discharge (benign control group) were selected, and the levels of CA125, CA153 and CEA in nipple discharge and serum were detected by electrochemiluminescence immunoassay. Results: The levels of CA125, CA153 and CEA in nipple discharge and serum in benign control group were significantly lower than those in the breast cancer group, and the levels of CA125, CA153 and CEA in serum were obviously lower than those in nipple discharge. The expression levels of CA125, CA153 and CEA in nipple discharge in the breast cancer group had no significant difference in different age of onset and different tumor sites. The CA125, CA153 and CEA levels in nipple discharge of patients with tumor diameter 5 cm, low differentiation, high stage, metastasis, and recurrence were obviously elevated versus to those of patients with tumor diameter

The joint transmit and receive beamforming algorithm has been envisioned to optimise the target's signal‐to‐interference‐plus‐noise ratio by co‐designing the transmit and receive beamforming vectors simultaneously. However, the traditional design concepts for this algorithm only consider the monostatic radar system, which may not work as well for the multistatic radar system. The authors present a novel transmit and receive beamforming algorithm for the multistatic radar system that includes a common transmitter and multiple receivers. The transmit beamforming vector can directly influence the output signal‐to‐interference‐plus‐noise ratio of each radar subsystem. To ensure the balanced performance of the subsystems, the authors propose a weighted sum of the signal‐to‐interference‐plus‐noise ratio optimisation problem to co‐design the transmit and receive beamforming. The proposed problem is non‐convex, and the authors construct an iterative algorithm to solve it using semi‐definite relaxation and slack‐variable replacement techniques. By using pre‐determined weights, the output performance of each radar subsystem can be effectively regulated. The simulation results confirm that the proposed algorithm can ensure better output signal‐to‐interference‐plus‐noise ratio for the entire multistatic radar system than the conventional joint transmit and receive beamforming algorithm. [ABSTRACT FROM AUTHOR]

The journey of acquiring proficiency in a second and/or foreign language is lifelong for many learners. In the search for the best educational pedagogies, a study was conducted in which learners' motivations were categorised to analyse each driving effect over learning performance. A retrospective case study of 20 Chinese PhD students learning English in China (i.e. English as a Foreign Language--EFL) and in overseas (i.e. English as a Second Language--ESL) contexts was employed. This study identified 12 different motivational categories which were classified as controlled and autonomous motivations for learning English. Moreover, this study shows both continuity and change in students' motivations: there was a continuity of autonomous motivation over time and across the two contexts, whereas change (d = 0.54) was seen in the frequency of controlled motivation between the two contexts. Specifically, the motivation of these 20 students was dominated by passing exams or proficiency tests in the EFL context and by communication in the ESL context, which possibly accounts for 'silent English' phenomenon in China. Analysis of trends of changes in motivation across different study stages indicated that external regulation belonging to controlled motivation experienced the most fluctuation. This fluctuation was attributed to enrolment pressure in China as well as the immediate demand of communication and the high-stakes PhD study while studying abroad. The results suggest that the development of language learners' motivation is a dynamic process and contingent upon levels of schooling or learning contexts.

With the development of urban built-up areas, accurately extracting the urban built-up area and spatiotemporal pattern evolution trends could be valuable for understanding urban sprawl and human activities. Considering the coarse spatial resolution of nighttime light (NTL) data and the inaccurate regional boundary reflection on point of interest (POI) data, land surface temperature (LST) data were introduced. A composite index method (LJ–POI–LST) was proposed based on the positive relationship for extracting the boundary and reflecting the spatial-temporal evolution of urban built-up areas involving the NTL, POIs, and LST data from 1993 to 2018 in this paper. This paper yielded the following results: (1) There was a spatial-temporal pattern evolution from north-east to south-west with a primary quadrant orientation of IV, V, and VI in the Hefei urban area from 1993–2018. The medium-speed expansion rate, with an average value of 14.3 km2/a, was much faster than the population growth rate. The elasticity expansion coefficient of urbanization of 1.93 indicated the incongruous growth rate between the urban area and population, leading to an incoordinate and unreasonable development trend in Hefei City. (2) The detailed extraction accuracy for urban and rural junctions, urban forest parks, and other error-prone areas was improved, and the landscape connectivity and fragmentation were optimized according to the LJ–POI–LST composite index based on a high-resolution remote sensing validation image in the internal spatial structure. (3) Compared to the conventional NTL data and the LJ–POI index, the LJ–POI–LST composite index method displayed an extraction accuracy greater than 85%, with a similar statistical and landscape pattern index result. This paper provides a suitable method for the positive relationship among these LST, NTL, and POI data for accurately extracting the boundary and reflecting the spatial-temporal evolution of urban built-up areas by the fusion data. [ABSTRACT FROM AUTHOR]

In the face of rampant urbanization, industrialization, and continuous advancements in construction technology, sustainable development in the construction industry becomes increasingly imperative. A promising avenue toward this sustainability is through the adoption of Recycled Construction Materials (RCMs), yet their widespread use remains complex and filled with numerous barriers, signifying an urgent need for the systematic investigation of these obstacles. This study uniquely employs a qualitative PEST (Political, Economic, Social, and Technological) analysis to illuminate the intricate impediments to the adoption and promotion of RCMs. Data for this study were collected through in-depth, semi-structured interviews with a variety of experts in the field. The research identifies substantial barriers within each PEST category. Political factors include regulatory biases and limited funding for RCM research, while economic factors involve the higher costs and limited availability of RCMs. Social aspects revolve around public awareness, safety concerns, and resistance to change within the industry. Technological issues focus on the development, performance, and compatibility of RCMs, the slow innovation pace, and the absence of standardized guidelines. Additionally, this study stands out by suggesting strategic, context-specific recommendations aimed at surmounting these obstacles and further fostering the adoption of RCMs. The solutions proposed are intimately linked to the challenges identified, highlighting the practical value and relevance of this study for guiding future research and policy development in the face of ongoing advancements in construction technology. [ABSTRACT FROM AUTHOR]

The conventional joint transmit and receive beamforming algorithms maximise the output signal‐to‐interference‐plus‐noise ratio (SINR) by designing the weight coefficients simultaneously at the transmitter and receiver. However, their performance degrades significantly when the model mismatch exists. In this paper, the robust version of the joint transmit and receive beamforming method is considered in the context of the bistatic radar system. In particular, both the transmit array and the receive array suffer model mismatch. The designed beamformer aims to maximise its output SINR subjected to a robustness constraint by simultaneously designing the transmit beamforming vector and the receive beamforming vector. Two types of robustness constraints, namely the worst‐case constraint and the probability constraint, are considered in this paper. The proposed formulations are non‐convex, and the sub‐optimal solutions are obtained by a sequential optimization approach. In addition, a novel method to estimate the interference‐plus‐noise covariance matrices at the transmitter and receiver is proposed, which makes the proposed robust joint beamforming algorithms adapt to the variation of the surrounding environment. Numerical simulations verify the effectiveness of the proposed algorithms. [ABSTRACT FROM AUTHOR]

We establish the optimal L p estimates for the Neumann and regularity problems in the homogenization of elliptic equations with rapidly oscillating and high-contrast coefficients in perforated Lipschitz domains in R d for 1 < p < 2 + α. All the ranges of p ′ s are sharp. This gives an affirmative answer to a question posed in Shen (Homogenization of boundary value problems in perforated Lipschitz domains. Preprint. arXiv:2105.13234). [ABSTRACT FROM AUTHOR]