Catalytic control of nitric oxide with gaseous or solid reducing materials

Air pollution from mobile sources is an increasingly serious problem throughout most of the industrialized would. Diesel powered vehicles, because of their higher thermal efficiency, tend to emit less carbon monoxide and unburned hydrocarbons than gasoline vehicles, but emit significant quantities of NOx. Therefore, it is essential to develop improved emission control equipment in diesel engines. A fixed bed catalytic reactor was used to study the decomposition of NO and the reduction of NO to N2 by different reductants that can be found in diesel exhaust, such as hydrocarbons, CO and elemental carbon over different catalysts. The effect of space velocity, feed concentrations, reaction temperature and catalyst deactivation were also investigated. A dual detector gas chromatograph equipped with a thermal conductivity and a flame ionization detection, a gas chromatograph with thermal conductivity detector and a chemiluminescent NO/NOx analyzer were used for quantitative analysis of feed and product streams. The results show that both Cu-ZSM-5 and high surface area alumina are effective in promoting the desired NO reduction reaction, especially the reduction of NO by hydrocarbon. It was also determined that copper loaded carbon and alumina containing copper reduce NOx at lower temperature than these substrates do without copper. The results can be explained qualitatively using the hypothesis that the catalyst promotes the soot-NOx reaction by requiring an intermediate, possibly CO, produced from the soot to react with NO on the catalyst. This hypothesis helps explain how the catalyst improves soot oxidation without invoking the requirement that soot adsorb on catalytic active centers or diffuse into catalyst pores. The CO will rapidly reduce the NO to N2 while being oxidized to CO2. This research is part of an overall project directed at the development of a rotating fluidized bed reactor (RFBR) to catalytically promote the oxidation of diesel soot while reducing NOx to nitrogen gas

PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training

Fact verification has attracted a lot of research attention recently, e.g., in journalism, marketing, and policymaking, as misinformation and disinformation online can sway one's opinion and affect one's actions. While fact-checking is a hard task in general, in many cases, false statements can be easily debunked based on analytics over tables with reliable information. Hence, table-based fact verification has recently emerged as an important and growing research area. Yet, progress has been limited due to the lack of datasets that can be used to pre-train language models (LMs) to be aware of common table operations, such as aggregating a column or comparing tuples. To bridge this gap, in this paper we introduce PASTA, a novel state-of-the-art framework for table-based fact verification via pre-training with synthesized sentence-table cloze questions. In particular, we design six types of common sentence-table cloze tasks, including Filter, Aggregation, Superlative, Comparative, Ordinal, and Unique, based on which we synthesize a large corpus consisting of 1.2 million sentence-table pairs from WikiTables. PASTA uses a recent pre-trained LM, DeBERTaV3, and further pretrains it on our corpus. Our experimental results show that PASTA achieves new state-of-the-art performance on two table-based fact verification benchmarks: TabFact and SEM-TAB-FACTS. In particular, on the complex set of TabFact, which contains multiple operations, PASTA largely outperforms the previous state of the art by 4.7 points (85.6% vs. 80.9%), and the gap between PASTA and human performance on the small TabFact test set is narrowed to just 1.5 points (90.6% vs. 92.1%).Comment: EMNLP 202

Application of 25 MHz B-Scan Ultrasonography to Determine the Integrity of the Posterior Capsule in Posterior Polar Cataract

Purpose. To report the application of 25 MHz B-scan ultrasonography (MHzB) to determine the integrity of the posterior capsule (PC) in posterior polar cataract (PPC). Methods. Patients with whom PPC was clinically diagnosed using slit lamp microscopy who underwent 25 MHzB before phacoemulsification were retrospectively reviewed. The status of the PC was determined by 25 MHzB before phacoemulsification and confirmed during cataract surgery. Results. In total, 21 eyes in 14 clinically diagnosed PPC patients were enrolled in this study. Out of 25 MHzB images, 19 PCs were found to be intact, while 2 showed dehiscence before cataract surgery. During phacoemulsification, 17 PCs were observed to be intact, while 4 PCs showed posterior capsule rupture (PCR). These 4 PCR cases included the above 2 eyes, in which preexisting dehiscence was detected by 25 MHzB. The other 2 PCR cases showed high reflectivity between high echoes in posterior opacities and the PC, indicating synechia between the PPC and PC. Conclusion. This is the first report to show that 25 MHzB can be used to clearly visualize the status of the PC in PPC. These results, in turn, could be used to select the appropriate treatment and to thereby avoid further complications during PPC surgery

Evaluation of scheduling and allocation algorithms while mapping assembly code onto FPGAs

ABSTRACT Migration of software from older general purpose embedded processors onto newer mixed hardware/software Systems-On-Chip (SOC) platforms is becoming an increasingly important topic. Automatic translation of general purpose software binaries and assembly code onto hardware implementations using FPGAs require sophisticated scheduling and allocation algorithms to maximize the resource utilization of such hardware devices. This paper describes the effects of scheduling and chaining of node operations in a CDFG onto an FPGA. The effects of register allocation on scheduled nodes are also discussed. The Texas Instruments C6000 DSP processor architecture was chosen as the DSP processor platform and assembly code, and the Xilinx Virtex II XC2V250 was chosen as the target FPGA. Results are reported on ten benchmarks, which show that scheduling with chaining operations produces the best results on FPGAs, while the addition of register allocation in fact generates poorer designs in terms of area and frequency

Road Traffic Safety Risk Estimation Method Based on Vehicle Onboard Diagnostic Data

Currently, research on road traffic safety is mostly focused on traffic safety evaluations based on statistical indices for accidents. There is still a need for in-depth investigation on preaccident identification of safety risks. In this study, the correlations between high-incidence locations for aberrant driving behaviors and locations of road traffic accidents are analyzed based on vehicle OBD data. A road traffic safety risk estimation index system with road traffic safety entropy (RTSE) as the primary index and rapid acceleration frequency, rapid deceleration frequency, rapid turning frequency, speeding frequency, and high-speed neutral coasting frequency as secondary indices is established. A calculation method of RTSE is proposed based on an improved entropy weight method. This method involves three aspects, namely, optimization of the base of the logarithm, processing of zero-value secondary indices, and piecewise calculation of the weight of each index. Additionally, a safety risk level determination method based on two-step clustering (density and "jats:italic"k"/jats:italic"-means clustering) is also proposed, which prevents isolated data points from affecting safety risk classification. A risk classification threshold calculation method is formulated based on "jats:italic"k"/jats:italic"-mean clustering. The results show that high-incidence locations for aberrant driving behaviors are consistent with the locations of traffic accidents. The proposed methods are validated through a case study on four roads in Chongqing with a total length of approximately 38 km. The results show that the road traffic safety trends characterized by road safety entropy and traffic accidents are consistent. Document type: Articl

Ruthenium-catalyzed cascade C-H activation/annulation of N-alkoxybenzamides : reaction development and mechanistic insight

A highly selective ruthenium-catalyzed C-H activation/annulation of alkyne-tethered N-alkoxybenzamides has been developed. In this reaction, diverse products from inverse annulation can be obtained in moderate to good yields with high functional group compatibility. Insightful experimental and theoretical studies indicate that the reaction to the inverse annulation follows the Ru(ii)-Ru(iv)-Ru(ii) pathway involving N-O bond cleavage prior to alkyne insertion. This is highly different compared to the conventional mechanism of transition metal-catalyzed C-H activation/annulation with alkynes, involving alkyne insertion prior to N-O bond cleavage. Via this pathway, the in situ generated acetic acid from the N-H/C-H activation step facilitates the N-O bond cleavage to give the Ru-nitrene species. Besides the conventional mechanism forming the products via standard annulation, an alternative and novel Ru(ii)-Ru(iv)-Ru(ii) mechanism featuring N-O cleavage preceding alkyne insertion has been proposed, affording a new understanding of transition metal-catalyzed C-H activation/annulation