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Synthesis and characterization of allomelanin model from 1,8-dihydroxynaphthalene autooxidation
Multispanning membrane protein SIDT2 increases knockdown activity of gapmer antisense oligonucleotides
Global and regional perspectives on optimizing thermo-responsive dynamic windows for energy-efficient buildings
AbstractArchitectural thermo-responsive dynamic windows offer an autonomous solution for solar heat regulation, thereby reducing building energy consumption. Previous work has emphasized the significance of thermo-responsive windows in hot climates due to their role in solar heat control and subsequent energy conservation; conversely, our study provides a different perspective. Through a global-scale analysis, we explore over 100 material samples and execute more than 2.8 million simulations across over two thousand global locations. World heatmap results, derived from well-trained artificial neural network models, reveal that thermo-responsive windows are especially useful in climates where buildings demand both heating and cooling energy, whereas thermo-responsive windows with optimal transition temperatures show no dynamic features in most of low-latitude tropical regions. Additionally, this study provides a practical guideline and an open-source mapping tool to optimize the intrinsic properties of thermo-responsive materials and evaluate their energy performance for sustainable buildings at various geographical scales.
Attomolar-sensitive milk fever sensor using 3D-printed multiplex sensing structures
Correction: Yinzhihuang injection induces apoptosis and suppresses tumor growth in acute myeloid leukemia cells
3D highly isolated 6-port tri-band MIMO antenna system with 360° coverage for 5G IoT applications based machine learning verification
Experiment and numerical analysis of prestressed unequal-walled rectangular concrete-filled steel box beams
Abstract When long-span beams undergo large, the strength of the beam material cannot be fully utilized. To solve this problem, a prestressed unequal-walled rectangular concrete-filled steel box (PURCFSB) beam is proposed in this paper. The prestressing is added to the concrete-filled steel tubular (CFST) beam and the section is designed. This beam is an improved concrete-filled steel tubular (CFST) beam with flanges of unequal thickness; the upper part of the steel box contains concrete, and the lower part is fitted with prestressed steel bars. Bending tests on ten PURCFSB beams with different concrete filling ratios and prestress levels revealed that prestressing can increase the yield bending moment and delay the cracking of concrete. The appropriate filling ratio can improve the structure’s yield moment and ultimate bearing capacity and reduce its self-weight while avoiding concrete cracking within the scope of work. Finite element analysis of the whole bending process of PURCFSB beams, carried out using ABAQUS software, yields results that are in good agreement with the experimental results. Parametric analysis (based on the validated finite element model) of the effects of the filling ratio and prestress level on the bending performance revealed that PURCFSB beams have good bearing capacity and deformation performance.
Adaptive fault tolerant control for cantilever thick plates with piezoelectric patches
Dopaminergic signaling to ventral striatum neurons initiates sniffing behavior
Spontaneous bifacial capping of perovskite film for efficient and mechanically stable flexible solar cell
Misbehavior or misalignment? Examining the drift towards bureaucratic box-ticking in Competency-Based Medical Education
Within competency-based medical education (CBME) residency programs, Entrustable Professional Activity (EPA) assessments endeavor to both bolster learning and inform promotion decisions. Recent implementation studies describe successes but also adverse effects, including residents and preceptors drifting towards bureaucratic / purely administrative behaviors and attitudes, although the drivers behind this tendency are not adequately understood. This study sought to examine resident and faculty experiences with implemented EPA processes to elucidate what leads them toward a ‘tick-box’ approach that has been described in the literature. The internal medicine residency program at the University of Alberta implemented a CBME pilot in 2016. From March to June 2018, a research assistant interviewed 16 residents and 27 preceptors shortly after they completed an EPA assessment. They described their goals, judgements, and actions during a recent EPA observation. Three researchers analyzed the data to identify themes following qualitative description methodology. The requirement to accrue EPA assessments turned them into currency exchanged by preceptors and residents to acknowledge clinical work. Predicaments arose when the prescriptive EPA process felt misaligned with the assessment context. The selected encounter sometimes suited formative but not summative purposes. Preceptors variably prioritized the dual formative and summative purposes and framed the message for either the resident’s or the program’s benefit. The drift toward bureaucracy in workplace-based assessments is becoming a predictable implementation pattern. Instead of solely attributing this pattern to residents and preceptors misusing the assessment process, viewing their actions as workarounds suggests that users make rational choices to overcome obstacles in the assessment system. Obstacles identified by workarounds could be targeted by design modifications.
An integrated approach using social support theory and technology acceptance model to investigate the sustainable use of digital learning technologies
Association of serum lycopene with low-frequency hearing loss in adults in their 70s based on NHANES database
Comparison of 10-year atherosclerotic cardiovascular disease (ASCVD) risk in metropolitan and rural areas of South of Iran
A Bayesian active learning platform for scalable combination drug screens
Gestational diabetes mellitus causes genome hyper-methylation of oocyte via increased EZH2
Energy management strategy for methanol hybrid commercial vehicles based on improved dung beetle algorithm optimization
In order to solve the problem of poor adaptability and robustness of the rule-based energy management strategy (EMS) in hybrid commercial vehicles, leading to suboptimal vehicle economy, this paper proposes an improved dung beetle algorithm (DBO) optimized multi-fuzzy control EMS. First, the rule-based EMS is established by dividing the efficient working areas of the methanol engine and power battery. The Tent chaotic mapping is then used to integrate strategies of cosine, Lévy flight, and Cauchy Gaussian mutation, improving the DBO. This integration compensates for the traditional dung beetle algorithm’s tendency to fall into local optima and enhances its global search capability. Subsequently, fuzzy controllers for the driving charging mode and hybrid driving mode are designed under this rule-based EMS. Finally, the improved DBO is used to obtain the optimal control of the fuzzy controller by taking the fuel consumption of the whole vehicle and the fluctuation change of the battery state of charge (SOC) as the optimization objectives. Compared to traditional rule-based energy management strategies, the optimized fuzzy control using the enhanced DBO continuously adjusts the torque distribution between the engine and motor based on the vehicle’s real-time state, resulting in a 9.07% reduction in fuel consumption and a 3.43% decrease in battery SOC fluctuations.