Neo-Traditional Town Centers and Residential Travel Behavior: Effect of Retail Composition

Neo-traditional developments are often comprised of mix-use neighborhoods with a town center that acts as the central commercial district that is easily accessible to the surrounding residents without a car. This paper investigates the reality of walking and biking in two such neo-traditional developments in Colorado. I compared frequency and purpose of non-car trips in two neighborhoods whose local town centers differ in retail composition. The first town center, Belmar, has a higher composition of comparison goods and services such as clothing, apparel, and other comparison goods. The second, East 29th Avenue Town Center, has a higher composition of convenient goods and services such as the library, dry cleaners, and dog wash store. An analysis of travel behavior surveys from fifty residents of each site reveals no significant difference in the travel behavior between residents of the two neighborhoods. While having a higher percentage of convenience goods was not shown to increase the residents’ perception of driving less, my evidence suggests that only specific convenience goods, such as grocery stores and dry cleaners, increases the residents’ perception of making less car trips. While the absence of significant findings may have resulted from a small sample size, and the absence of travel diaries, this research can serve as an exploratory study for further research on the relationship between retail composition and travel behavior

GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation

While point cloud semantic segmentation is a significant task in 3D scene understanding, this task demands a time-consuming process of fully annotating labels. To address this problem, recent studies adopt a weakly supervised learning approach under the sparse annotation. Different from the existing studies, this study aims to reduce the epistemic uncertainty measured by the entropy for a precise semantic segmentation. We propose the graphical information gain based attention network called GaIA, which alleviates the entropy of each point based on the reliable information. The graphical information gain discriminates the reliable point by employing relative entropy between target point and its neighborhoods. We further introduce anchor-based additive angular margin loss, ArcPoint. The ArcPoint optimizes the unlabeled points containing high entropy towards semantically similar classes of the labeled points on hypersphere space. Experimental results on S3DIS and ScanNet-v2 datasets demonstrate our framework outperforms the existing weakly supervised methods. We have released GaIA at https://github.com/Karel911/GaIA.Comment: WACV 2023 accepted pape

Uterine Artery Doppler Velocimetry During Mid-second Trimester to Predict Complications of Pregnancy Based on Unilateral or Bilateral Abnormalities

We performed this study to evaluate uterine artery Doppler velocimetry (UADV) measurement of unilateral or bilateral abnormalities as a predictor of complications in pregnancy during the mid-second trimester (20-24 weeks). We enrolled 1,090 pregnant women who had undergone UADV twice: once between the 20th and 24th week (1st stage) and again between the 28th and 32nd week (2nd stage) of pregnancy, and then delivered at Yonsei Medical Center. UADV was performed bilaterally. Follow-up UADV was performed between the 28th and 32nd week, and the frequencies of pregnancy-induced hypertension (PIH), fetal growth restriction (FGR), and preterm delivery (before 34 weeks of gestation) were determined. Chi-squared and t-tests were used where appropriate, with p < .05 considered significant. According to the results of UADV performed between 20-24 weeks of gestation, 825 women (75.7%) were included in the normal group, 196 (18.0%) in the unilateral abnormality group, and 69 (6.3%) in the bilateral abnormality group. The incidences of FGR were 8.0%, 10.2%, and 26.1%, and the incidences of PIH were 0.1%, 3.6%, and 14.5%, respectively. The incidence of PIH was significantly lower in the normal group. The incidences of preterm delivery were 2.2%, 5.6%, and 8.7%, respectively. PIH developed in 46.7% of patients with bilateral abnormal findings in both the 1st and 2nd stage tests, and developed in none of the patients with normal findings in both tests. Abnormal results found by UADV performed between the 20-24th weeks of pregnancy, such as high S/D ratios regardless of placental location and the presence of an early diastolic notch, were associated with significant increases in the incidences of intrauterine growth restriction (IUGR) and PIH. This was true for both bilateral and unilateral abnormalities. Abnormal findings in bilateral UADV during the second trimester especially warrant close follow up for the detection of subsequent development of pregnancy complications

AD-YOLO: You Look ONly Once in Training Multiple Sound Event Localization and Detection

Sound event localization and detection (SELD) combines the identification of sound events with the corresponding directions of arrival (DOA). Recently, event-oriented track output formats have been adopted to solve this problem; however, they still have limited generalization toward real-world problems in an unknown polyphony environment. To address the issue, we proposed an angular-distance-based multiple SELD (AD-YOLO), which is an adaptation of the "You Look Only Once" algorithm for SELD. The AD-YOLO format allows the model to learn sound occurrences location-sensitively by assigning class responsibility to DOA predictions. Hence, the format enables the model to handle the polyphony problem, regardless of the number of sound overlaps. We evaluated AD-YOLO on DCASE 2020-2022 challenge Task 3 datasets using four SELD objective metrics. The experimental results show that AD-YOLO achieved outstanding performance overall and also accomplished robustness in class-homogeneous polyphony environments.Comment: 5 pages, 3 figures, accepted for publication in IEEE ICASSP 202

Round Robin Analyses on Stress Intensity Factors of Inner Surface Cracks in Welded Stainless Steel Pipes

AbstractAustenitic stainless steels (ASSs) are widely used for nuclear pipes as they exhibit a good combination of mechanical properties and corrosion resistance. However, high tensile residual stresses may occur in ASS welds because postweld heat treatment is not generally conducted in order to avoid sensitization, which causes a stress corrosion crack. In this study, round robin analyses on stress intensity factors (SIFs) were carried out to examine the appropriateness of structural integrity assessment methods for ASS pipe welds with two types of circumferential cracks. Typical stress profiles were generated from finite element analyses by considering residual stresses and normal operating conditions. Then, SIFs of cracked ASS pipes were determined by analytical equations represented in fitness-for-service assessment codes as well as reference finite element analyses. The discrepancies of estimated SIFs among round robin participants were confirmed due to different assessment procedures and relevant considerations, as well as the mistakes of participants. The effects of uncertainty factors on SIFs were deducted from sensitivity analyses and, based on the similarity and conservatism compared with detailed finite element analysis results, the R6 code, taking into account the applied internal pressure and combination of stress components, was recommended as the optimum procedure for SIF estimation

Importância dos Saca-Rabos (Herpestes Ichneumon) como Reservatório de Mycobacterium avium subsp. paratuberculosis. Deteção por Técnicas Tradicionais e Moleculares

Poster apresentado nas IV Jornadas de Genética, realizadas na UTAD, Vila Real, nos dias 1,2 e 3 de Março de 2012.Os saca-rabos (Herpestes ichneumon) também conhecidos por mangustos, são carnívoros diurnos selvagens que juntamente com a geneta (Genetta genetta) representam os exemplares da família Viverridae em Portugal. É uma espécie cinegética de caça menor que se alimenta de coelhos, roedores, aves, cobras, insectos e ovos. Neste estudo colheram-se amostras de 8 animais mortos por atropelamento e em ações de controlo de predadores, durante os anos de 2010 e 2011, nos concelhos de Idanha-a-Nova e Penamacor do distrito de Castelo Branco. As amostras colhidas foram fígado, pulmão, baço, intestino, rim, gânglio mesentérico, retrofaríngeo, mediastínico, amígdalas e fezes. As amostras foram submetidas à técnica de PCR e a cultura microbiológica em meios específicos. Em três saca-rabos (37,5%) detectou-se Mycobacterium avium subsp. paratuberculosis (Map) através da técnica de biologia molecular. Dois eram machos e um era fêmea. Map foi confirmado também em cultura nos dois machos. Sete saca-rabos (87,5%) apresentaram bactérias álcool-ácido resistentes compatíveis com Map em esfregaços de diferentes tecidos, quando corados pelo método de Ziehl-Neelsen. Estes resultados preliminares confirmam os saca-rabos como reservatório de Map no nosso país. Atualmente, estão a ser desenvolvidos mais estudos para a avaliação dos saca-rabos na dinâmica da infeção de Map em mamíferos selvagens

Dehydrogenation of ammonia-borane by cationic Pd(II) and Ni(II) complexes in a nitromethane medium: hydrogen release and spent fuel characterization

A highly electrophilic cationic PdII complex, [Pd(MeCN)_4][BF_4]_2 (1), brings about the preferential activation of the B–H bond in ammonia-borane (NH3·BH3, AB). At room temperature, the reaction between 1 in CH_3NO_2 and AB in tetraglyme leads to Pd nanoparticles and formation of spent fuels of the general formula MeNH_xBO_y as reaction byproducts, while 2 equiv. of H_2 is efficiently released per AB equiv. at room temperature within 60 seconds. For a mechanistic understanding of dehydrogenation by 1, the chemical structures of spent fuels were intensely characterized by a series of analyses such as elemental analysis (EA), X-ray photoelectron spectroscopy (XPS), solid state magic-angle-spinning (MAS) NMR spectra (^2H, ^(13)C, ^(15)N, and ^(11)B), and cross polarization (CP) MAS methods. During AB dehydrogenation, the involvement of MeNO2 in the spent fuels showed that the mechanism of dehydrogenation catalyzed by 1 is different from that found in the previously reported results. This AB dehydrogenation derived from MeNO_2 is supported by a subsequent digestion experiment of the AB spent fuel: B(OMe)_3 and N-methylhydroxylamine ([Me(OH)N]_2CH_2), which are formed by the methanolysis of the AB spent fuel (MeNH_xBO_y), were identified by means of ^(11)B NMR and single crystal structural analysis, respectively. A similar catalytic behavior was also observed in the AB dehydrogenation catalyzed by a nickel catalyst, [Ni(MeCN)_6][BF_4]_2 (2)

3,4-Dihydroxy­phenyl 3,4,5-trimethoxy­benzoate

In the title compound, C16H16O7, the dihedral angle between the two benzene rings is 82.02 (7)°. The crystal structure is stabilized by inter­molecular O—H⋯O hydrogen bonds, which link the mol­ecules into a two-dimensional network