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Lane Detection Based on ECBAM_(A)SPP Model
With the growing prominence of autonomous driving, the demand for accurate and efficient lane detection has increased significantly. Beyond ensuring accuracy, achieving high detection speed is crucial to maintaining real-time performance, stability, and safety. To address this challenge, this study proposes the ECBAM_ASPP model, which integrates the Efficient Convolutional Block Attention Module (ECBAM) with the Atrous Spatial Pyramid Pooling (ASPP) module. Building on traditional attention mechanisms, the ECBAM module employs dynamic convolution kernels to eliminate dimensionality reduction, enhancing the efficiency of feature channel learning and local interactions while preserving computational efficiency. The ECBAM_ASPP model incorporates the ECBAM attention mechanism into the feature extraction network, effectively directing the network to focus on salient features while suppressing irrelevant ones. Additionally, through variable sampling of the input, the model achieves multi-scale feature extraction, enabling it to capture richer lane-related feature information. Experimental results on the TuSimple and CULane datasets demonstrate that the ECBAM_ASPP model significantly improves real-time performance while maintaining high detection accuracy. Compared with baseline methods, the proposed model delivers superior overall performance, showcasing greater robustness and practicality.
Journal Article
A Two-Stage Culture Strategy for IScenedesmus/I sp. FSP3 for COsub.2 Fixation and the Simultaneous Production of Lutein under Light and Salt Stress
In this study, Scenedesmus sp. FSP3 was cultured using a two-stage culture strategy for CO[sub.2] fixation and lutein production. During the first stage, propylene carbonate was added to the medium, with 5% CO[sub.2] introduced to promote the rapid growth and CO[sub.2] fixation of the microalgae. During the second stage of cultivation, a NaCl concentration of 156 mmol L[sup.−1] and a light intensity of 160 μmol m[sup.−2] s[sup.−1] were used to stimulate the accumulation of lutein in the microalgal cells. By using this culture method, high lutein production and CO[sub.2] fixation were simultaneously achieved. The biomass productivity and carbon fixation rate of Scenedesmus sp. FSP3 reached 0.58 g L[sup.−1] d[sup.−1] and 1.09 g L[sup.−1] d[sup.−1], with a lutein content and yield as high as 6.45 mg g[sup.−1] and 2.30 mg L[sup.−1] d[sup.−1], respectively. The results reveal a commercially feasible way to integrate microalgal lutein production with CO[sub.2] fixation processes.
Journal Article
Quay Brothers : the black drawings : Philadelphia Pennsylvania 1974-1977
In the mid-1970s the influential stop-motion animators Stephan and Timothy Quay (born 1947) embarked on a series of dark graphite drawings, conceived as imaginary film posters. They kept their first autonomous art project hidden for decades, allowing only a few glimpses to transpire in some of their animation classics such as 'Nuctura Artificialia, Street of Crocodiles' and their live-project 'Witlold Lutoslawski--Paraphrase on: The Hour We Knew Nothing of Each Other'. In hindsight, the 'Black Drawings' can be considered as a blueprint for their future work. This book offers a first in-depth exploration of this important graphic series that reveals many of the themes and techniques that would come to life in their celebrated animation films.
Book
Experimental Advances in the Real-Time Recording of Cross-Linking Alginate IIn Situ/I Gelation: A Review
Alginate-based hydrogels are promising smart materials widely employed in the food, bioengineering, and energy sectors. The development and optimization of their production require a thorough knowledge of gelation. In recent years, advanced experimental procedures have been developed for real-time cross-linking alginate reaction monitoring. Novel methods, such as customized rheometric setups, enable the recording of mechanical properties and morphological changes during hydrogel formation. These innovative techniques provide important insights into the gelation stages, the reaction rate, the diffusion of cross-linker to polymer chains, and the homogeneity of the gelling structures. Based on real-time experimental data, kinetic models are developed to enhance comprehension of the reaction mechanism and, eventually, to predict the gelation progress. The aim is to enable better control of the characterization of both the complex gelation and the propagated structures. This review aspires to present a comprehensive overview and evaluation of the breakthrough innovations of the real-time in situ recording of cross-linking alginate hydrogels and bead formation. A detailed analysis of the pioneering experimental developments provides a deep comprehension of the alginate gelation, including the parameters controlling the reaction.
Journal Article
Homegrown : Timothy McVeigh and the rise of right-wing extremism
\"Timothy McVeigh wanted to start a movement. After the Oklahoma City bombing, the Gulf War veteran expressed no regrets. Jeffrey Toobin details how McVeigh's principles and tactics have flourished in the decades since his death in 2001, reaching an apotheosis on January 6 when hundreds of rioters stormed the Capitol. Based on nearly a million previously unreleased tapes, photographs, and documents, including detailed communications between McVeigh and his lawyers, as well as interviews with such key figures as Bill Clinton, Toobin reveals how the story of Timothy McVeigh and the Oklahoma City bombing is not only a powerful retelling of one of the great outrages of our time, but a warning for our future\"-- Provided by publisher.
Book
Enhanced N-Butanol Sensing Performance of Cr-Doped CeOsub.2 Nanomaterials
The Cr-doped CeO[sub.2] nanomaterials were prepared by a simple hydrothermal method. Morphological analysis revealed that Cr doping altered the morphology and size of the CeO[sub.2] particles. Gas sensing tests results showed that Cr/Ce-2 has the highest response (Ra/Rg = 15.6 @ 10 ppm), which was 12.58 times higher than that of the pure CeO[sub.2] sensor. Furthermore, the optimal operating temperature was reduced from 210 °C to 170 °C. The Cr/Ce-2 sensor also displayed outstanding repeatability and gas selectivity. The improved gas sensing performance of the Cr-doped CeO[sub.2] sensor can be attributed to its smaller grain size and higher porosity compared to pure CeO[sub.2]. In addition, oxygen vacancies played a pivotal role in improving the gas-sensing performance. The present work provides a new CeO[sub.2]-based gas-sensitive material for the detection of n-butanol.
Journal Article
Stress test : reflections on financial crises
From the former Treasury Secretary, the definitive account of the unprecedented effort to save the U.S. economy from collapse in the wake of the worst global financial crisis since the Great Depression.
Book
Metal–Organic Framework of NOsub.x
Metal–organic frameworks (MOFs) are a novel type of porous crystalline materials assembled from metal ions and organic linkers. Their derivatives can inherit characteristics such as high specific surface area, tunable porosity, and unique topological structures, which make MOF-derived metal oxides ideal catalysts for the selective catalytic reduction (SCR) of NO[sub.x]. This review focuses on the synthetic strategies of MOF-derived metal oxides and the latest progress of oxides derived from various typical MOFs materials (including MILs, ZIFs, UiO, BTC series, MOF-74, MOF-5, and Prussian blue analogs, etc.) in the catalytic reduction in NO[sub.x], and analyzes the mechanisms for the enhanced catalytic performance. In addition, the challenges and prospects of MOF derivatives in catalytic applications are discussed. It is hoped that this review will help researchers understand the latest research progress of MOF-derived metal oxide materials in the catalytic removal of NO[sub.x] pollution.
Journal Article