Tungsten Disulfide Nanotube-Modified Conductive Paper-Based Chemiresistive Sensor for the Application in Volatile Organic Compounds' Detection.

Toxic and nontoxic volatile organic compound (VOC) gases are emitted into the atmosphere from certain solids and liquids as a consequence of wastage and some common daily activities. Inhalation of toxic VOCs has an adverse effect on human health, so it is necessary to monitor their concentration in the atmosphere. In this work, we report on the fabrication of inorganic nanotube (INT)-tungsten disulfide, paper-based graphene-PEDOT:PSS sheet and WS2 nanotube-modified conductive paper-based chemiresistors for VOC gas sensing. The WS2 nanotubes were fabricated by a two-step reaction, that is oxide reduction and sulfurization, carried out at 900 °C. The synthesized nanotubes were characterized by FE-SEM, EDS, XRD, Raman spectroscopy, and TEM. The synthesized nanotubes were 206-267 nm in diameter. The FE-SEM results show the length of the nanotubes to be 4.5-8 µm. The graphene-PEDOT:PSS hybrid conductive paper sheet was fabricated by a continuous coating process. Then, WS2 nanotubes were drop-cast onto conductive paper for fabrication of the chemiresistors. The feasibility and sensitivity of the WS2 nanotube-modified paper-based chemiresistor were tested in four VOC gases at different concentrations at room temperature (RT). Experimental results show the proposed sensor to be more sensitive to butanol gas when the concentration ranges from 50 to 1000 ppm. The limit of detection (LOD) of this chemiresistor for butanol gas was 44.92 ppm. The WS2 nanotube-modified paper-based chemiresistor exhibits good potential as a VOC sensor with the advantages of flexibility, easy fabrication, and low fabrication cost.

A Deep-Learning Model with Task-Specific Bounding Box Regressors and Conditional Back-Propagation for Moving Object Detection in ADAS Applications.

This paper proposes a deep-learning model with task-specific bounding box regressors (TSBBRs) and conditional back-propagation mechanisms for detection of objects in motion for advanced driver assistance system (ADAS) applications. The proposed model separates the object detection networks for objects of different sizes and applies the proposed algorithm to achieve better detection results for both larger and tinier objects. For larger objects, a neural network with a larger visual receptive field is used to acquire information from larger areas. For the detection of tinier objects, the network of a smaller receptive field utilizes fine grain features. A conditional back-propagation mechanism yields different types of TSBBRs to perform data-driven learning for the set criterion and learn the representation of different object sizes without degrading each other. The design of dual-path object bounding box regressors can simultaneously detect objects in various kinds of dissimilar scales and aspect ratios. Only a single inference of neural network is needed for each frame to support the detection of multiple types of object, such as bicycles, motorbikes, cars, buses, trucks, and pedestrians, and to locate their exact positions. The proposed model was developed and implemented on different NVIDIA devices such as 1080 Ti, DRIVE-PX2 and Jetson TX-2 with the respective processing performance of 67 frames per second (fps), 19.4 fps, and 8.9 fps for the video input of 448 × 448 resolution, respectively. The proposed model can detect objects as small as 13 × 13 pixels and achieves 86.54% accuracy on a publicly available Pascal Visual Object Class (VOC) car database and 82.4% mean average precision (mAP) on a large collection of common road real scenes database (iVS database).

Continued usage of smart wearable devices (SWDs): cross-level analysis of gamification and network externality.

With the increasing maturity of mobile networks and big data technology, smart wearable devices (SWDs) are regarded as a new technology trend following smartphones. Especially during the COVID-19 pandemic, the increase in telework and the growing interest in self-health monitoring have greatly promoted the market growth of SWDs. This study aimed to investigate the factors affecting the continued use of SWDs. A cross-level analysis model that integrates technical characteristics, gamification theory, perceived value theory, and network externality was constructed. A hierarchical linear model was employed to evaluate the data and test it against the hypotheses. The empirical results showed that, at the individual level, gamification enhances users' value perceptions. Users pay more attention to rewards in gamification than to competition. Rewards were also found to effectively promote the users' value perception and increase the intention to continue using the device. At the group level, the effect of network externality significantly influences the intention to continue using SWDs. Moreover, SWDs are associated with the phenomenon by which consumers conspicuously display and highlight their own characteristics, and this attribute is also a crucial factor enticing consumers to continue using SWDs. Developers should therefore establish clear product positioning and strengthen interactivity as early as possible to build a loyal customer base.

Purification of lysozyme from chicken egg white by high-density cation exchange adsorbents in stirred fluidized bed adsorption system.

Lysozyme from crude chicken egg white (CEW) feedstock was successfully purified using a stirred fluidized bed adsorption system ion exchange chromatography where STREAMLINE SP and SP-XL high density adsorbents were selected as the adsorption carrier. The thermodynamic and kinetic studies were carried out to understand the characteristics of lysozyme adsorption by adsorbents under various conditions, including adsorption pH, temperature, lysozyme concentration and salt concentrations. Results showed that SP and SP-XL adsorbents achieved optimum lysozyme adsorption at pH 9 with capacity of ~139.77 and ~251.26 mg/mL, respectively. The optimal conditions obtained from batch studies were directly employed to operate in SFBA process. For SP-XL adsorbent, the recovery yield and purification factor of lysozyme were 93.78% and ~40 folds, respectively. For SP adsorbent, lysozyme can be eluted ~100% with purification factor of ~26 folds. These two adsorbents are highly suitable for use in direct recovery of lysozyme from crude CEW.

Efficacy of Two-Stage Treatment of Onychomycosis Using a Long-Pulsed Nd:YAG 1064-nm Laser.

OBJECTIVES: Onychomycosis is a fungal infection of the nail bed, nail matrix, and nail plate. Lasers have recently been studied as future clinical options for onychomycosis. We sought to evaluate the efficacy of the long-pulsed Nd:YAG 1064-nm laser on onychomycosis using a two-stage treatment. METHODS: A total of 100 affected nails (88 toenails and 12 fingernails from 22 patients) were treated using a long-pulsed Nd:YAG 1064-nm laser. The self-controlled treatment schedule included the first stage (1 session per week for 8 weeks) and the second stage (1 session every 4 weeks for 16 weeks). Patients were followed up with for 12 weeks after the last laser treatment. Direct microscopy, cultures, and clinical assessments were performed at various time points. RESULTS: Of the nails studied, 84% were infected by Trichophyton rubrum, while others were coinfected with T. rubrum and other fugal strains. The mycological clearance rate and the clinical efficacy rate of the nails were 29% and 21% after the first stage, 69% and 35% after the second stage, and 67% and 39% during follow-up, respectively. The second stage of laser treatment significantly improved the mycological clearance and clinical efficacy. CONCLUSION: Long-pulsed Nd:YAG 1064-nm laser two-stage treatment was effective for onychomycosis, with significantly improved mycological clearance and clinical efficacy. This trial is registered with ChiCTR 1900021669.

Methylmercury in Industrial Harbor Sediments in Taiwan: First Observations on its Occurrence, Distribution, and Measurement.

The distribution of methylmercury (MeHg) and total mercury (T-Hg) in sediments of the estuaries and the basin in Kaohsiung Harbor (Taiwan) is studied. MeHg in the sediment samples was determined using gas chromatography-mass spectrometry. The certified reference material of sediments with respect to the method showed the recovery efficiency between 97.4 and 103.6% which confirmed the applicability of analysis method. The T-Hg and MeHg concentrations were between 149 to 9035 µg/kg and <0.31 to 17.7 µg/kg, respectively. The T-Hg and MeHg concentrations in the estuaries of Kaohsiung Harbor were relatively high. Results suggest that Hg in this studied area was likely contributed from the catchments of the rivers. The MeHg level was <0.01 to 2.66% of the T-Hg in the sediments. A positive correlation is obtained between MeHg, T-Hg, and total organic carbon in the sediments, whereas a negative correlation is observed between pH, oxidation-reduction potential, and MeHg concentration. The results further suggest that sediment characteristics contribute mainly to the distribution of MeHg.

Construction of Highly Efficient Carbazol-9-yl-Substituted Benzimidazole Bipolar Hosts for Blue Phosphorescent Light-Emitting Diodes: Isomer and Device Performance Relationships.

Four isomers of carbazol-9-yl-substituted 1,2-diphenylbenzimidazole at 7, 6, 5, and 4 positions, named as 1-CbzBiz, 2-CbzBiz, 3-CbzBiz, and 4-CbzBiz, respectively, have been synthesized. Instead of having an identical molecular weight, the CbzBiz's have their glass transition temperatures ( Tg) spanning a large range from 53 to 90 °C. Their Tg and melting point ( Tm) basically obey the Boyer-Kauzmann rule ( Tg = g· Tm with g ≈ 0.7) on the absolute temperature scale (in kelvins). However, while 1-CbzBiz and 4-CbzBiz demonstrate a small g value of 0.66, which is significantly smaller than other common organic glass molecules, 3-CbzBiz shows an unexpectedly high g value of 0.73, implying higher intermolecular interactions in the glass. These CbzBiz's are suitable hosts for bis[2-(4,6-difluorophenyl)pyridinato- C2, N](picolinato)iridium(III) (FIrpic) in phosphorescence organic light-emitting diodes (PhOLEDs). The optimized PhOLED of indium tin oxide/4,4'-cyclohexylidenebis[ N, N-bis(4-methylphenyl)benzenamine]/4Cbz/4-CbzBiz-FIrpic(15%)/diphenylbis(4-(pyridin-3-yl)phenyl)silane/LiF-Al shows a maximum brightness of 18 760 cd/m2, a current efficiency of 64.1 cd/A, and the external quantum efficiency of 30.9%.

Cdk12 and Cdk13 regulate axonal elongation through a common signaling pathway that modulates Cdk5 expression.

Cdk12 and Cdk13 are Cdc2-related proteins that share 92% identity in their kinase domains. Using in situ hybridization and Western blot analysis, we detected the expression of Cdk12 and Cdk13 mRNAs and their proteins in developing mouse embryos, especially during development of the nervous system. We explored the roles of Cdk12 and Cdk13 in neuronal differentiation using the P19 neuronal differentiation model. Upon knockdown of Cdk12 or Cdk13, no effect on differentiated cell numbers was detected, but a substantial decrease of numbers of neurons with long neurites was identified. Similarly, knockdown of Cdk12 or Cdk13 in primarily cultured cortical neurons shortens the averaged axonal length. A microarray analysis was used to examine changes in gene expression after knockdown or overexpression of Cdk12 and we identified Cdk5 as a molecule potentially involved in mediating the effect of Cdk12 and Cdk13. Depletion of Cdk12 or Cdk13 in P19 cells significantly reduces Cdk5 expression at both the mRNA and protein levels. Expression of Cdk5 protein in the developing mouse brain is also reduced in conditional Cdk12-knockout mice in proportion to the residual amount of Cdk12 protein present. This suggests that the reduced axonal outgrowth after knockdown of Cdk12 or Cdk13 might be due to lower Cdk5 expression. Furthermore, overexpression of Cdk5 protein in P19 cells was able to partially rescue the neurite outgrowth defect observed when Cdk12 or Cdk13 is depleted. Together, these findings suggest that Cdk12 and Cdk13 regulate axonal elongation through a common signaling pathway that modulates Cdk5 expression.