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Purpose – Shipping is a major source of air pollution, causing severe impacts on the environment and human health, greatly contributing to the creation of greenhouse gases and influencing climate change. The research was investigated to provide a better insight into the emission inventories in the Red River in Hanoi (Vietnam) that is often heavily occupied as the primary route for inner-city waterway traffic. Design/methodology/approach – The total emissions of seven different pollutants (PM10, PM2.5, SOx, CO, CO2, NOx and HC) were estimated using the SPD-GIZ emission calculation model. Findings – The results show that CO2 has the most significant contribution to the gas volume emitted: 103.21 tons/day. Remarkably, bulk carriers are the largest emission vehicle, accounting for more than 97% of total emissions, due to their superior number and large capacity. Social implications – The result to have a roadmap for making efforts to fulfil its commitment so that it could achieve its net-zero climate target by 2050 in Vietnam as committed at COP26. Originality/value – In this research, the number of vehicles and types of vessels travelling on the Red River flowing within Hanoi territory and other activity data are reported. The tally data will be used to estimate emissions of seven different pollutants (PM10, PM2.5, SOx, CO, CO2, NOx and HC) using a method combining both top-down and bottom-up approaches.

Defect inspection is essential in the semiconductor industry to fabricate printed circuit boards (PCBs) with minimum defect rates. However, conventional inspection systems are labor-intensive and time-consuming. In this study, a semi-supervised learning (SSL)-based model called PCB_SS was developed. It was trained using labeled and unlabeled images under two different augmentations. Training and test PCB images were acquired using automatic final vision inspection systems. The PCB_SS model outperformed a completely supervised model trained using only labeled images (PCB_FS). The performance of the PCB_SS model was more robust than that of the PCB_FS model when the number of labeled data is limited or comprises incorrectly labeled data. In an error-resilience test, the proposed PCB_SS model maintained stable accuracy (error increment of less than 0.5%, compared with 4% for PCB_FS) for noisy training data (with as much as 9.0% of the data labeled incorrectly). The proposed model also showed superior performance when comparing machine-learning and deep-learning classifiers. The unlabeled data utilized in the PCB_SS model helped with the generalization of the deep-learning model and improved its performance for PCB defect detection. Thus, the proposed method alleviates the burden of the manual labeling process and provides a rapid and accurate automatic classifier for PCB inspections.

Three new enantiopure aryl-thioureas have been synthesized, N-(4-X-phenyl)-N-[1(S)-1-phenylethyl]thiourea, X= Cl, Br, and NO2 (compounds 1-3, respectively). Large single crystals of up to 0.5 cm3 were grown from methanol/ethanol solutions. Molecular structures were derived from X-ray diffraction studies and the crystal morphology was compared to calculations employing the Bravais-Friedel, Donnay-Harker model. Molecular packing was further studied with Hirshfeld surface calculations. Semi-empirical classical model calculations of refractive indices, optical rotation and the electro-optic effect were performed with OPTACT on the basis of experimentally determined refractive indices. Compound 3 (space group P 1 (No. 1)) was estimated to possess a large electro-optic coefficient r333 of approximately 30 pm/V, whereas 1 and 2 (space Group P 21 (No. 4) exhibit much smaller effects.

Three new enantiopure aryl-thioureas have been synthesized, N-(4-X-phenyl)- N-[1(S)-1-phenylethyl]thiourea, X= Cl, Br, and NO2 (compounds 1-3, respectively). Large single crystals of up to 0.5 cm³ were grown from methanol/ethanol solutions. Molecular structures were derived from X-ray diffraction studies and the crystal morphology was compared to calculations employing the Bravais-Friedel, Donnay-Harker model. Molecular packing was further studied with Hirshfeld surface calculations. Semi-empirical classical model calculations of refractive indices, optical rotation and the electro-optic effect were performed with OPTACT on the basis of experimentally determined refractive indices. Compound 3 (space group P 1 (No. 1)) was estimated to possess a large electro-optic coefficient r333 of approximately 30 pm/V, whereas 1 and 2 (space Group P 21 (No. 4) exhibit much smaller effects. [ABSTRACT FROM AUTHOR]

Purpose: Mindfulness, while being suggested as an important psychological cognitive capability of customers, has received insufficient attention in studies of transformative services characterized by challenging cocreation behaviors. It is unclear about the contributions of mindfulness to customers' cocreation and transformative outcomes. This study aims to investigate the direct, indirect, mediating and moderating relationships to explain how mindfulness sustains cocreation effort, increases perceived service value and ultimately enhances the diffusion from the service value to customer well-being. Design/methodology/approach: A structural model was developed and tested using the CB-SEM method. Data were surveyed from two transformative service industries, yoga training and higher education (N = 283 and 273 cases, respectively). Findings: Customer mindfulness has a positive relationship with cocreation effort, which in turn positively associates with perceived value. Additionally, mindfulness has a direct relationship with perceived value, which then is the full mediator in the relationships between mindfulness, cocreation effort and life satisfaction. Mindfulness also moderates the transformation from service value (immediate outcome) to life satisfaction (long-term outcome). Practical implications: Transformative service providers and policymakers should acknowledge and develop strategies to cultivate customers' mindfulness, which subsequently fosters their value cocreation effort and enhances their well-being. Originality/value: This research puts forward the concept of mindfulness, a trainable cognitive capability of customers, and shows its importance in transformative service cocreation. This paper provides a full structural mechanism explaining how mindfulness helps cocreate a transformative service and diffuse its immediate value to customer life satisfaction. [ABSTRACT FROM AUTHOR]

Defect inspection is essential in the semiconductor industry to fabricate printed circuit boards (PCBs) with minimum defect rates. However, conventional inspection systems are labor-intensive and time-consuming. In this study, a semi-supervised learning (SSL)-based model called PCB_SS was developed. It was trained using labeled and unlabeled images under two different augmentations. Training and test PCB images were acquired using automatic final vision inspection systems. The PCB_SS model outperformed a completely supervised model trained using only labeled images (PCB_FS). The performance of the PCB_SS model was more robust than that of the PCB_FS model when the number of labeled data is limited or comprises incorrectly labeled data. In an error-resilience test, the proposed PCB_SS model maintained stable accuracy (error increment of less than 0.5%, compared with 4% for PCB_FS) for noisy training data (with as much as 9.0% of the data labeled incorrectly). The proposed model also showed superior performance when comparing machine-learning and deep-learning classifiers. The unlabeled data utilized in the PCB_SS model helped with the generalization of the deep-learning model and improved its performance for PCB defect detection. Thus, the proposed method alleviates the burden of the manual labeling process and provides a rapid and accurate automatic classifier for PCB inspections. [ABSTRACT FROM AUTHOR]

The structures of (S)-butan-2-yl N-(4-nitrophenyl)thiocarbamate, C11H14N2O3S, (I), (S)-butan-2-yl N-(4-methoxyphenyl)thiocarbamate, C12H17NO2S, (II), (S)- butan-2-yl N-(4-fluorophenyl)thiocarbamate, C11H14FNOS, (III), and (S)-butan-2-yl N-(4-chlorophenyl)thiocarbamate, C11H14ClNOS, (IV), all at 100 K, have monoclinic (P21) symmetry with two independent molecules in the asymmetric unit. The Flack absolute structure parameters in all cases confirm the absence of inversion symmetry. The structures display N--H· · ·S hydrogen bonds, resulting in R²2(8) hydrogen-bonded ring synthons connecting the two independent molecules. Despite the ring synthon, the packing follows two distinct patterns, with (I) and (IV) 'pancaking' along the b-axis direction, while the other two 'sandwich' in layers perpendicular to the b axis. Crystal morphologies were determined theoretically via the BFDH (Bravais, Friedel, Donnay-Harker) model and agree qualitatively with the experimentally indexed results. One of the butyl substituent of (II) exhibits structural disorder. [ABSTRACT FROM AUTHOR]

Pomelo (Citrus maxima (Burm.) Merrill) peel, which has been considered as a byproduct, is a potential source of flavonoids. In this study, the extraction conditions of total flavonoids from peels of Da Xanh pomelo were optimized using the response surface methodology with the Box–Behnken design. The combination of two novel extraction methods, including enzyme-assisted and ultrasound-assisted extractions, was used for the optimization. The results indicated that the optimal extraction condition was a liquid-to-solid ratio of 142.99 mL/g, enzyme concentration of 3.45%, and the time of 65.23 min for incubation and of 69.26 min for sonication treatment. Total phenolic and total flavonoid contents of the pomelo peel extracts, under optimal condition of the combined method (16.79 mg GAE/g and 10.69 mg RE/g, respectively), were significantly higher than those of the conventional method (6.58 mg GAE/g and 2.42 mg RE/g, respectively). The naringin and hesperidin contents of extracts under optimal condition increased by 5.70% and 1.20%, respectively, compared to the extracts under the conventional method. [ABSTRACT FROM AUTHOR]

The 23rd Annual Conference on Pacific Basin Finance, Economics, Accounting, and Management was held in Saigon Technology University, Ho Chi Minh City, Vietnam on July 16th and July 17th, 2015. The first conference was held at Rutgers University in 1993. Since then, the conference has been held in Hong Kong (1994, 1998), Taipei (1995, 1999, 2003, 2006, 2011), Bangkok (2000, 2004, 2009), Rutgers (1996, 2001, 2005, 2012), Singapore (1997, 2002), Vietnam (2007), Australia (2008, 2013), China (2010), and Japan (2014). The program co-directors of the conference were Cheng-Few Lee, Rutgers University, USA, and Cao Hao Thi, Saigon Technology University, Vietnam. [ABSTRACT FROM AUTHOR]

Using a highly accurate polarimetric method, we determine the gyration tensor component g11 for Ca3Ga2Ge4O14 (CGG) crystals. For this aim we employ a single-wavelength high-accuracy polarimeter and eliminate the main systematic errors of our polarimetric measurements. A calculation technique based on the polarizability theory for optical activity (OA) is applied to derive optical rotatory power (ORP) for the CGG. A comparison of the observed and calculated OA parameters confirms the validity of our theoretical calculations. Dispersions of both the ordinary and extraordinary refractive indices and the ORP are calculated. [ABSTRACT FROM AUTHOR]