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The automatic classification technology of remote sensing images is the key technology to extract the rich geo-information in remote sensing images and to monitor the dynamic changes of land use and ecological environment. Remote sensing images have the characteristics of large amount of information and many dimensions. Therefore, how to classify and extract the information in remote sensing images has become a crucial issue in the field of remote sensing science. With the development of neural network theory, many scholars have carried out research on the application of neural network models in remote sensing image classification. However, there are still some problems to be solved in artificial neural network methods. In this study, considering the problem of large-scale land classification for medium resolution and multi-spectral remote sensing imagery, an improved machine learning algorithm based on extreme learning machine for remote sensing classification has been developed via regularization theory. The improved algorithm is more suitable for the application of post-classification change monitoring of features in large scale imaging. In this study, our main job is to evaluate the performance of ELM with A-optimal design regularization (here we call it simply as A-optimal RELM). So the accuracy and efficiency of A-optimal RELM algorithm for remote sensing imagery classification, as well as the algorithms of support vector machine (SVM) and original ELM are compared in the experiments. The experimental results show that A-optimal RELM performs the best on all three different images with overall accuracy of 97.27% and 95.03% respectively. Besides, the A-optimal RELM performs better on the details of distinguish similar and confusing terrestrial object pixels.

The infection induced by harmful bacteria has become one of the leading public health concerns worldwide, threatening social health and the economy. In addition, new and multidrug-resistant pathogens are continuously emerging with the abuse of antibiotics. Therefore, there is an urgent need to develop advanced platforms for precise detection and antibiotic-free inhibition of pathogens toward large-scale clinical applications. Advanced materials with unique structure and surface chemistry have emerged in bacterial detection and inhibition, while still lacking explicit elaboration of the connections between material properties and analytical/inhibition performance. This review describes the recent advancements regarding the precise detection of pathogens based on advanced materials incorporated with analytical approaches, including colorimetry, fluorescence, and molecular fingerprinting platforms. The antibacterial applications of advanced material-assisted platforms are then reviewed from three mechanism concepts of physical, chemical, and synergetic damage. The review ends with ideas on current limitations and some potential perspectives, thus may serving as a handbook to guide future research.

Janus particles with an anisotropic structure have emerged as a focus of intensive research due to their diverse composition and surface chemistry, which show excellent performance in various fields, especially in biomedical applications. In this review, we briefly introduce the structures, composition, and properties of Janus particles, followed by a summary of their biomedical applications. Then we review several design strategies including morphology, particle size, composition, and surface modification, that will affect the performance of Janus particles. Subsequently, we explore the synthetic methodologies of Janus particles, with an emphasis on the most prevalent synthetic method (surface nucleation and seeded growth). Following this, we highlight Janus particles in biomedical applications, especially in drug delivery, bio-imaging, and bio-sensing. Finally, we will consider the current challenges the materials face with perspectives in the future directions. Keywords: Biomedical engineering, Drug delivery, Bio-imaging, Bio-sensing

A total of 189 Acinetobacter baumannii isolates were collected in 2011 from a teaching hospital in Chongqing, China. Susceptibility data showed strains carrying integrons were significantly more resistant to all tested antibiotics that strains lacking integrons. Five types of gene cassettes belonging to class I integrons were identified in this study, and for the first time two types of gene cassettes belonging to class II integrons are reported. Most of the cassettes belong to a class I integron (136/144) encoding arr3, aacA4, dfrA17, aadA5, aadB, cat, blaOXA10, aadA1, aadA2, dfrA and aacC1. Isolates contained a class I gene cassette; AadA2-HP-dfrA was the prevalent strain in this hospital. A class II integron was detected in eight strains, which contained the type IV fimbriae expression regulatory gene pilR and sulfate adenylyltransferase, suggesting a possible role in multidrug resistance. The major epidemic strains from intensive care unit patients belong to international clone 2. In conclusion, the presence of integrons was significantly associated with multiple drug resistance of A. baumannii in this hospital, and class I integron isolates bearing AadA2-HP-dfrA were the prevalent strain in this hospital.

By combining adaptive modulation (AM) and automatic repeat request (ARQ) protocol as well as user scheduling, the cross-layer design scheme of multiuser MIMO system with imperfect feedback is presented, and multiple outdated estimates method is proposed to improve the system performance. Based on this method and imperfect feedback information, the closed-form expressions of spectral efficiency (SE) and packet error rate (PER) of the system subject to the target PER constraint are respectively derived. With these expressions, the system performance can be effectively evaluated. To mitigate the effect of delayed feedback, the variable thresholds (VTs) are also derived by means of the maximum a posteriori method, and these VTs include the conventional fixed thresholds (FTs) as special cases. Simulation results show that the theoretical SE and PER are in good agreement with the corresponding simulation. The proposed CLD scheme with multiple estimates can obtain higher SE than the existing CLD scheme with single estimate, especially for large delay. Moreover, the CLD scheme with VTs outperforms that with conventional FTs.

Residential energy retrofitting projects in the hot summer and cold winter (HSCW) zone of China face various risks related to project activities, which incur transaction costs (TCs), such as search, negotiation, and monitoring costs. As the leader in project implementation, the Chinese government is responsible for project planning, organisation, and coordination. However, TCs impede the government’s ability to execute risk-related project activities effectively, subsequently increasing the probability of the occurrence of risk. Drawing on transaction cost economics (TCE), this study proposes a theoretical framework to understand the barriers—such as asset specificity, uncertainty, and frequency—that prevent the government from performing project activities and mitigating risks effectively. An artificial neural network (ANN) is applied to verify the hypotheses. The results underscore experience and operational maturity in project activities, cost and time constraints, and the immature retrofitting market as significant impediments to the government’s execution of risk-related activities. Considering the varying roles of the government in reducing different risks, this study concludes by offering policy recommendations to alleviate these activity barriers and mitigate risks. By employing a TCs perspective, this study not only identifies key barriers but also deepens our understanding of risk mitigation mechanisms, providing robust policy insights tailored to the specific regional context of China, thereby enhancing both the execution and the framework of government-led retrofitting projects.

The implementation of prefabricated housing (PH) has become prevalent in China recently due to its advantages in enhancing production and energy-saving efficiency within the construction system. However, stakeholders may not always fully realize the benefits of adopting PH due to the emergence of transaction costs (TCs) in the development process of such projects. This study investigated the strategies for developers to make rational choices for minimizing the TCs of the PH project considering their own attributes and external constraints. A Bayesian Belief Network model was applied as the analytical method, based on surveys conducted in China. A single sensitivity analysis indicated that developers influence the TCs of PH through the following three most impactful factors: prefabrication rate, PH experience, and contract payment method. Integrated strategies are recommended for developers in various situations based on a multiple sensitivity analysis. Developers facing challenges due to high prefabrication rates are advised to reduce the risks by procuring highly qualified general contractors and adopting unit-price contracts. For developers with limited PH experience, adopting the Engineering–Procurement–Construction procurement method is the most efficient way to reduce their TCs in the context of China’s PH market. This study contributes to the current body of knowledge concerning the effect of traders’ attributes and choices on TCs, expanding the application of TC theory and fulfilling the study on the determinants of TCs in construction management.

Two studies with preschool-age children examined the effectiveness of perceptual individuation training at reducing racial bias (Study 1, N = 32; Study 2,N = 56). We found that training preschool-age children to individuate other-race faces resulted in a reduction in implicit racial bias while mere exposure to other-race faces produced no such effect. We also showed that neither individuation training nor mere exposure reduced explicit racial bias. Theoretically, our findings provide strong evidence for a causal link between individual-level face processing and implicit racial bias, and are consistent with the newly proposed perceptual-social linkage hypothesis. Practically, our findings suggest that offering children experiences that allow them to increase their expertise in processing individual other-race faces will help reduce their implicit racial bias. [ABSTRACT FROM AUTHOR]

The article presents the findings of a research conducted on examining major differences between the government’s role in building energy efficiency (BEE) in China and three developed countries including U.S., Canada, and Great Britain. It examines government measures required to promote building energy efficiency (BEE) in China. It reveals that economic incentives are important for BEE promotion at the current stage, but they are lacking in China. It concludes that active government interventions including adjusting energy pricing and implementing BEE legislation, are required in China if BEE is to become economically growing and efficient.

A new two-dimensional atomic crystal, monolayer cuprous telluride (Cu2Te) has been fabricated on a graphene-SiC(0001) substrate by molecular beam epitaxy (MBE). The low-energy electron diffraction (LEED) characterization shows that the monolayer Cu2Te forms a superstructure with respect to the graphene substrate. The atomic structure of the monolayer Cu2Te is investigated through a combination of scanning tunneling microscopy (STM) experiments and density functional theory (DFT) calculations. The stoichiometry of the Cu2Te sample is verified by x-ray photoelectron spectroscopy (XPS) measurement. The angle-resolved photoemission spectroscopy (ARPES) data present the electronic band structure of the sample, which is in good agreement with the calculated results. Furthermore, air-exposure experiments reveal the chemical stability of the monolayer Cu2Te. The fabrication of this new 2D material with a particular structure may bring new physical properties for future applications. [ABSTRACT FROM AUTHOR]

A laser photoacoustic technique has been developed to evaluate the surface acoustic wave (SAW) velocity of porcelain. A Q-switched Nd:YAG laser at 1064 nm was focused by a cylindrical lens to initiate broadband SAW impulses, which were detected by an optical fiber interferometer with high spatial resolution. Multiple near-field surface acoustic waves were observed on the sample surface at various locations along the axis perpendicular to the laser line source as the detector moved away from the source in the same increments. The frequency spectrum and dispersion curves were obtained by operating on the recorded waveforms with cross-correlation and FFT. The SAW phase velocities of the porcelain of the same source are similar while they are different from those of different sources. The marked differences of Rayleigh phase velocities in our experiment suggest that this technique has the potential for porcelain identification. [ABSTRACT FROM AUTHOR]

A novel field emission pressure sensor has been achieved using carbon nanotube (CNT) arrays as the field emitters. The sensor consists of the anode elastic membrane fabricated by wet etching process and a multi-wall carbon nanotube array cathode in the micro-vacuum cavity. The prototype pressure sensor has a measured sensitivity of about 0.16-0.78 nA/Pa(101-550 kPa). The work suggests the potential use of CNT-based field emitters in microsensors such as accelerometers and tactile sensors. [ABSTRACT FROM AUTHOR]

The rapidly growing aging population is a global phenomenon imposing societal challenges on many cities. ‘Aging-in-place’ as a popular concept accommodates both the elderly desire to age in a familiar environment and adaptive old home modifications for aging. However, this concept has not been explored in-depth systematically in the urban regeneration context. This article explores a form of aging-in-place that is suitable for large and dense residential urban areas using the case of Hong Kong as an example of a laisse-faire fast-growing dense city, with a focus on home modifications. As in many other Asian cities, with a low tax rate and without a pension scheme, the elderly in Hong Kong are concerned more with the basic needs of health care and rely on public housing. Housing affordability is the primary concern. The government is expected to take the lead in aging-in-place in urban regeneration, in particular, to provide necessary home modifications for the elderly who live in public housing with primary health care provisions. A survey of 294 respondents revealed that housing expenditures, housing size, income level, and residential location are indicators of whether home modifications or health care in cities such as Hong Kong can be afforded by the locals, under tight budget constraints.

This review of studies into Energy Efficiency Retrofitting (EER) has shown the practice of EER to be a key factor in sustainability regeneration. Thus, the retrofitting practice itself (the way it is organised) has received increasing attention from both practitioners and researchers, and studies are now addressing some issues that are affecting the retrofit level of achievement. Most of the risks which lead to low retrofit development are related to owners. This paper aims highlight the role of the occupants in achieving the goals of EER. It is found that: (a) the early involvement of occupants in the design and construction stage, (b) mutual engagement, and (c) an integral approach that involves the occupants are the key to motivate EER decisions from these same occupants. It follows that this involvement, including the demographic characteristics of the occupants, such as their culture, habits, preferences, awareness towards energy saving and socio-economic factors, are indeed effective in influencing the energy-related behaviours of these occupants. Moreover, other factors, such as space-heating behaviour, presence/absence of the occupants, control level of the equipment and window, and lighting control behaviour, are all effective factors in the energy performance of the buildings. Hence, socio-technical advancements, co-design processes and effective energy efficiency policies are recommended strategies to: (a) improve occupants’ behaviours; and (b) increase their participation in EER projects.