Abstract Universal protein coatings have recently gained wide interest in medical applications due to their biocompatibility and ease of fabrication. However, the challenge persists activity preservation, significantly complicating functional design these coatings. Herein, an active dual‐protein surface engineering strategy assisted by a facile stepwise protein–protein interactions assembly (SPPIA) method for catheters reduce clot formation infection is proposed. This realized first partial...

This research explores the impact of regular exercise programs, enhanced by biosensor technology, on effectiveness ideological and political education. Understanding relationship between learning is essential as educational settings increasingly combine cognitive growth with physical well-being. An ensemble 418 students participated in this research. The information was acquired from biosensors to monitor participant’s physiological responses, body temperature, heart rate during exercise,...

Introduction: The impact of intra-arterial thrombolysis (IAT) following successful endovascular thrombectomy (EVT) in patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO) remains uncertain. This study aims assess the efficacy and safety IAT as an adjunct EVT AIS-LVO. Patients methods: We searched PubMed, Embase, Cochrane databases identify randomized controlled trials (RCTs) that compared + EVT-only for primary outcome was excellent functional outcome, defined a...

FPGAs are commercially available off-the-shelf for implementing convolutional neural network (CNN) accelerators to trade off accuracy, performance, and power. Systolic array architecture CNN on has the potential run at a high frequency due its regular simple interconnections. However, current FPGA CAD tools unable synthesize layout systolic arrays in quality. In this paper, we identify reasons degradation of designs accelerators. We also propose two methods improve front-end back-end,...

In this paper, the response surface method was used to study technology of dyeing wool fiber with walnut green peel pigment under microwave-assisted method. The optimized extraction process were: ethanol volume fraction 60%, time 1 min, liquid-material ratio 24:1, microwave power 450 W, and mordant fixation 3 270 amount fixing agent 7%, reducing dosage 22 g/L. results showed that use new lanthanum chloride greatly improved efficiency pigments, saved costs, significantly shortened time,...

FPGAs are very attractive to accelerate the deep neural networks (DNNs). While single FPGA can provide good performance for small-scale DNNs, support large-scale DNNs is limited due higher resource demand. In this paper, we propose an efficient mapping approach accelerating on asymmetric multi-FPGA architectures. approach, network be formulated as a allocation problem. We design dynamic programming-based partitioning solve problem optimally. Experimental results using ResNet-152 demonstrate...

Cystic lesions are common of the sellar region with various pathological types, including pituitary apoplexy, Rathke's cleft cyst, cystic craniopharyngioma, etc. Suggested surgical approaches not unique when dealing different lesions. However, types were hard to differentiate on MRI naked eye by doctors. This study aimed distinguish in using preoperative magnetic resonance imaging (MRI). Radiomics and deep learning used extract features from gadolinium-enhanced MRIs 399 patients enrolled at...

Low-dose X-ray computed tomography (XCT) is a popular imaging technique to visualize the inside structure of object non-destructively. Model-based Iterative Reconstruction (MBIR) method can reconstruct high-quality image but at cost large computational demands. Therefore, MBIR ten resorts platforms with hardware accelerators such as GPUs speed up reconstruction process.

The dual-mode delay model, while being effective for characterizing on-chip timing variations, also yields analysis results that are overly pessimistic due to the Common Path Pessimism (CPP). In this paper, we develop a fast and accurate block-based algorithm removing pessimism in analysis, when model is used. We illustrate effectiveness of our on set benchmarks from TAU 2014 Contest [1].

X-ray computed tomography (CT) is an important technique for noninvasive clinical diagnosis and nondestructive testing. In many applications a number of image processing steps are needed before the features available. One these segmentation, which generates edge structural regions interest. The conventional flow to first reconstruct images then apply segmentation methods on reconstructed images. contrast, emerging obtains tomographic simultaneously, especially useful in case limited data. An...

X-ray computed tomography (CT) is commonly used to obtain vivo images characterize diseases but results in radiation exposure patients. Low-dose CT (LDCT) provides of clinical quality with reduced cumulative dose. Iterative image reconstruction methods effective regularization are for LDCT generally require more computing resources and induce higher computational load than the conventional filtered backprojection (FBP) methods. The high demand iterative (IR) notably increased time precludes...

Serial equivalency enables easier regression testing and customer support in production-grade parallel CAD tools. While existing routing techniques have become sufficiently advanced to provide good speedup, for serial still has been very limited or ignored because it was considered costly. In this paper, we present a serial-equivalent router that not only provides significant speedup but also produces the same result as router. This primarily leverages dependency-aware scheduling algorithm...

Cushing's disease (CD) is a rare that contributes to 70-80% hypercortisolemia, which presents similarities and differences between pediatric adult patients, even male female patients. However, the comparative study of CD different age groups genders still insufficient. The aim make systematic comparison reveal gender in children patients CD, helping clinicians provide optimal treatment for patients.We conducted retrospective research consisting 30 392 single center Peking Union Medical...

In this paper we propose a quantitative approach to analyze the impact of heterogeneous blocks (H-blocks) on FPGA placement quality. The basic idea is construct synthetic benchmarks with known optimal wire-length facilitate analysis. To best our knowledge, first work that enables construction wirelength-optimal examples. Besides analyzing quality existing placers, further decompose impacts H-blocks from architectural aspect and netlist aspect. Our analysis shows design hides wirelength...

Knowledge Base Question Answering (KBQA) aims to derive answers natural language questions over large-scale knowledge bases (KBs), which are generally divided into two research components: retrieval and semantic parsing. However, three core challenges remain, including inefficient retrieval, errors adversely affecting parsing, the complexity of previous KBQA methods. In era large models (LLMs), we introduce ChatKBQA, a novel generate-then-retrieve framework built on fine-tuning open-source...

Due to the continuous scaling of integration density and increasing diversity customized designs, there are demands on scalability customization EDA tools flows. Commercial usually provide an interface TCL scripting extract modify design information for a flexible flow. However, we observe that current is not designed complete netlist extraction, resulting in significant degradation performance. For example, it takes over 20 minutes 466K-cell using TCL. This extraction may be repeated...

FPGAs are becoming significant for implementing low-latency convolutional neural networks, because of performance demands and power constraints. Conventional implementations layers usually direct convolution, involving nested loops over channels, feature maps, filters. Explicit general matrix multiplications (GEMMs) cost extra memory space, the limited on-chip RAMs prevent an efficient GEMM-based implementation. In this paper, we evaluate a low-memory method GEMMs on based systolic arrays....

The conventional approach of computed tomography (CT) is to solve each image processing task individually in sequence. An obvious drawback that the measured data only used once at first step, and possible errors, from noises data, inappropriate modeling, or parameters, are not easy be corrected will propagated into later steps. As a consequence, approaches combine reconstruction specific have become popular. This work adopts an iterative algorithm with simultaneous segmentation using...

The non-exact projective NPNP (NP3) Boolean matching problem is practically significant in the applications of technology mapping, logic verification, and hardware security. However, its difficulty compels an unsatisfactory running time, conventional algorithms for basic perform terribly on type. In this paper, we propose a novel algorithm to solve newly rising NP3 problem, multiple types optimization were applied further improve performance. Experimental results indicate that our has...

X-ray computed tomography is an important technique for clinical diagnose and nondestructive testing. In many applications a number of image processing steps are needed before the information becomes useful. Image segmentation one such has applications. The conventional flow to first reconstruct then obtain afterwards. contrast, iterative method simultaneous reconstruction (SRS) with Mumford-Shah model been proposed, which not only regularizes ill-posedness tomographic problem, but also...