High-accuracy and high-speed three-dimensional (3D) fringe projection profilometry (FPP) has been widely applied in many fields. Recently, researchers discovered that deep learning can significantly improve analysis. However, requires numerous objects to be scanned for training data. In this paper, we propose build the digital twin of an FPP system perform virtual scanning using computer graphics, which save cost labor. The proposed method extracts 3D geometry directly from a single-shot...

Abstract Population estimation is essential for the conservation and management of fish wildlife, but accurate estimates are often difficult or expensive to obtain cryptic species across large geographical scales. Accurate statistical models with manageable financial costs field efforts needed hunted populations using age-at-harvest data may be most practical foundation these models. Several rigorous approaches that use other accurately estimate have recently been developed, dependent on (a)...

Abstract Background We previously showed that colonic mucosal biopsy supernatants from patients with irritable bowel syndrome (IBS) activate neurons of the human submucous plexus, an area densely packed immune cells. Based on concept mucosa‐nerve signaling is altered in IBS, we tested this study whether nerve sensitizing effect IBS more prominent than myenteric plexus. Methods Fast neuroimaging voltage‐sensitive dye Di‐8‐ANEPPS was used to record activity guinea‐pig and after application...

Graph condensation reduces the size of large graphs while preserving performance, addressing scalability challenges Neural Networks caused by computational inefficiencies on datasets. Existing methods often rely bi-level optimization, requiring extensive GNN training and limiting their scalability. To address these issues, this paper proposes Condensation via Gaussian Process (GCGP), a novel computationally efficient approach to graph condensation. GCGP utilizes (GP), with condensed serving...

This study investigates the use of Vicsek model for maintaining autonomous intervals in cooperative flight unmanned aerial vehicles (UAVs). Although effectively simulates group movement, it does not inherently maintain safe between drones. To address this limitation, we propose an enhanced approach that incorporates a speed adaptive mechanism and repulsive force mechanism. The dynamically adjusts drone's based on its proximity to neighboring drones, slowing down when close speeding up...

<sec> <title>BACKGROUND</title> Efficient allocation of healthcare resources is essential for sustainable hospital operation. Effective intensive care unit (ICU) management alleviating the financial strain on systems. Accurate prediction length-of-stay in ICUs vital optimizing capacity planning and resource allocation, with challenge achieving early, real-time predictions. </sec> <title>OBJECTIVE</title> This study aims to develop a predictive model, namely WT-LSTM, ICU using only sign data....

Intensive care units (ICUs) serve patients with life-threatening conditions. However, the availability of ICU resources remains scarce worldwide. Therefore, it is critical to conduct outcome predictions at an early stage and promote efficient use resources. current prediction methods have limitations such as unsatisfactory accuracy dependence on resource-demanding laboratory tests or expert domain knowledge. In this research, we design a wavelet-transformed-based additive convolutional...

A major problem associated with the rapid growth in automotive production is an increase traffic congestion and accidents, especially big cities of China. To solve problem, government has been increasing funds for improving infrastructure, enforcing laws, educating drivers about regulations. In addition, research institutes have launched R&D projects driver assistance safety warning systems. particular, 1999, Chinese Academy Sciences' Intelligent Control Systems Engineering Center started...

The multistate travel time reliability model has demonstrated superior performance, a close relationship with underlying traffic conditions, and ease of interpretation for reporting. This study advances the by using skewed component distributions—for example, gamma lognormal distributions—to accommodate nonsymmetrically distributed times, which are commonly observed in congested states. Six alternative models, single-state normal, gamma, distributions their versions, were fitted to...

The driving risk during the initial period after licensure for novice teenage drivers is typically highest but decreases rapidly right after. change-point of a critical parameter evaluating risk, which also varies substantially among drivers. This paper presents latent class recurrent-event models detecting change-points. proposed model applied to Naturalist Teenage Driving Study, continuously recorded data 42 18 months using advanced in-vehicle instrumentation. We propose hierarchical BFMM...

Increased tissue redox state may result in sub-optimal growth. Our goal was to determine if glutathione (GSH) content and expression of proteins involved with GSH metabolism change longissimus dorsi (LD), subcutaneous adipose (SA), liver tissues growing vs. finishing steer phenotypes. Tissues were taken from 16 Angus steers (BW = 209 ± 29.4 kg) randomly assigned (n 8) develop through Growing (final BW 301 7.06 Finished 576 36.9 growth phases, at slaughter had achieved different rib-eye area...

Public transit systems provide mass movement with substantial traffic operational and environmental benefits. Despite these benefits, they still represent a small market share in the United States. A comprehensive understanding of determinants ridership is essential for investment allocation to improve safety, mobility, air quality an urban area. Except socio-economic factors, crime has been identified as determinant ridership. Most studies found that are linearly correlated each other,...

Accurate measurement of high spinning projectiles' attitude is the basis guidance and control. In order to reduce error improve update rate, a magnetometer-based phase shifting ratio method proposed in this paper. This does not introduce additional installation errors as existing methods, simplifies calibration extreme value ratio-pitch angle curve, makes full use data sensors. The synchronized with magnetometer output without using local geomagnetic information. Simultaneously, are avoided....

The ICU is a specialized hospital department that offers critical care to patients at high risk. massive burden of ICU-requiring requires accurate and timely outcome predictions for alleviating the economic healthcare burdens imposed by needs. Existing research faces challenges such as feature extraction difficulties, low accuracy, resource-intensive features. Some studies have explored deep learning models utilize raw clinical inputs. However, these are considered non-interpretable black...

Pavement roughness would affect the running of vehicle movement, and thus possibly impact fuel consumption emissions, numerical relationships analytical steps which are, however, not yet well studied. The major objective this paper is to quantify vehicular emission factors—hydrocarbons (HC), carbon monoxide (CO), oxides nitrogen (NO x ), dioxide (CO 2 )—and as a function pavement (the International Roughness Index [IRI]) other factors. Within each operating mode identification (OMID) bins...