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Background Colon adenocarcinoma (COAD) is one of the leading causes of cancer-associated mortality worldwide. Fucosyltransferases (FUTs) are associated with numerous cancers. We aimed to investigate the functions of FUTs in COAD. Methods Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to analyze the expression and clinical relevance of FUTs in COAD. Real Time Quantitative PCR (RT-qPCR), Western blot, immunohistochemistry and ELISA were used to detect the relative RNA and protein expression levels. Colitis-associated cance mice treated with Fusobacterium nucleatum were used to illustrate the effects of Fusobacterium nucleatum on FUTs and COAD. Luciferase reporting assay was used to investigate the binding of miRNA to mRNA. Results TCGA and GEO datasets showed abnormal expression of FUTs in COAD at transcript level. RT-qPCR, Western blot and immunohistochemistry showed increased expression of FUT1, POFUT1 and POFUT2 in COAD. COAD patients with a high expression of FUT1, FUT11, FUT13 (POFUT2) had a worse prognosis, while patients with a high expression of FUT2, FUT3, FUT6 had a better prognosis. FUT1 and POFUT2 could independently predict the prognosis of COAD patients. Functional analysis by CancerSEA database showed that FUT3, FUT6, FUT8, FUT12 (POFUT1) and FUT13 are associated with differentiation, apoptosis, invasion, quiescence, and hypoxia. FUTs are associated with the tumor microenvironment of COAD. FUT1 regulated by miR-939-3p inhibit the expression of MUC2. Fusobacterium nucleatum may affect the expression of FUTs by affecting their transcription factors and miRNA levels. Moreover, Fusobacterium nucleatum promotes COAD progression through the miR-939-3p/FUT1/MUC2 axis. Conclusions Fucosyltransferases play an important role and may be the mediator of Fusobacterium nucleatum promoting COAD progression.

Background: Retailer price promotions are an important marketing strategy to attract consumers. However, there is scarce evidence on how retail price promotions are being implemented by e-cigarette online stores, particularly for e-liquid products that are not often found in brick-and-mortar stores and sold in lower prices compared to other types of e-cigarettes. Objectives: We collect data on e-liquid price-promotion activities from online stores using web scraping. From February to May 2021, we scraped the price promotion data of over 14,000 e-liquid products, from five popular online vape shops that sell nationwide in the US. We present descriptive analyses of price promotion on those products, assess price promotion practices in online stores, and discuss components of the final purchase price paid by online customers. Findings: Of the 14,000 e-liquid products and over, 13,326 (92.36%) were on sale, and each online store on average offered discounts from 9.20% to 47.53% for these products. The distribution of the after-discount price was largely similar across the five stores, and there is evidence that each store had adopted different price-promotion strategies. Conclusion: Despite low prices, price promotions are common for e-liquid products, which may undermine the effect of e-cigarette pricing policies such as excise tax that are designed to raise e-cigarette prices.

Polyploids recurrently emerge in angiosperms, but most polyploids are likely to go extinct before establishment due to minority cytotype exclusion, which may be specifically a constraint for dioecious plants to evolve polyploid populations. Investigations into the frequency and distribution of polyploids in natural populations is thus necessary for understanding polyploid evolution in plants. This study determined the ploidy levels of 28 populations and 351 individuals of Salix polyclona, and identified the type of polyploidy (auto- vs. allo-) using whole genome re-sequencing data. We further investigated the phylogeny, population genetic diversity and species range shifts to explore the origin and spatiotemporal evolution of the polyploid complex. Our analyses revealed a high frequency (52%) of autopolyploids in it with a clear geographic distribution confined to the western part of its range where complex mountain systems create higher levels of environmental heterogeneity. Comparisons of diploid male and female genomes suggested a female heterogametic sex-determining factor on chromosome 15, which likely also acts in the dioecious polyploids. Fossil-calibrated phylogeny showed a more recent diversification of the polyploids (ca. 2.3 Ma) than the diploid (ca. 6.2 Ma), and population demographic histories largely corroborated the geological and climatic history of the region. Our results suggest that climatic oscillations and uplift of eastern Qinghai-Tibetan Plateau and the connecting mountains may have facilitated the preservation and establishment of polyploid populations. This study provides an example of the evolution of a diploid-polyploid complex in a willow species and illustrates a role of polyploidization in mountain biodiversity.

Metal nanomaterials have attracted increasing attention due to their outstanding nonlinear optical and photonic properties, making them as potential saturable absorber (SA) candidates for realizing ultrafast photonic devices. In this article, we demonstrate the generation of mode-locked dual-wavelength pulse trains in an Ag nanoplates (AgNPTs)-based Yb-doped all-fiber laser for the first time to the best of our knowledge. The AgNPTs are synthesized by seed-mediated growth and then integrated into a fiber ferrule by optical deposition, which serve as SA in the ring laser cavity. The plasmonic properties of such nanoplates are measured by absorption spectrophotometry and their nonlinear optical properties are characterized by Z-scan. The measured nonlinear saturable absorption of the AgNPTs-based SA is 6.4%. In our laser, the dual-wavelength synchronous mode-locking is achieved at the center wavelengths of 1031.92 and 1033.24 nm with 3-dB spectral bandwidth of 0.52 and 0.46 nm, respectively, where 293-ps pulse trains with a repetition rate of 11.43 MHz are obtained at the pump power of 350 mW. The results demonstrate that the solution-processed AgNPTs are promising SA candidates for achieving stable and low-cost pulsed laser sources which could be used for spectroscopy and ultrafast photonics.

IntroductionThe present study empirically examined the association between price discounts and product attributes of e-liquids sold by online retailers.MethodsWe analysed 14 000 e-liquid products from five major online e-cigarette retailers between April and May 2021 to determine the association between price discounts and product attributes such as nicotine level and form, flavour and vegetable glycerine/propylene glycol ratio. A fixed-effects model was used in the analysis and discounts were calculated in US cents/mL of e-liquid volume.ResultsOut of 14 407 e-liquid products, 92.5% were offered at a discounted price. On average, the price discount for the 13 324 products that had discounts was 16.84 cents/mL across the five stores. Among the three forms of nicotine (salt, freebase and nicotine free), salt e-liquids had the highest average price discount.ConclusionOur findings suggest that e-liquids with salt nicotine have a higher average price discount when sold online, which may influence consumer purchasing behaviour. Further research is needed to assess the potential impact of these discounts on youth and adult tobacco use. Policymakers may consider implementing measures to limit online price discounts for e-liquids as a means of reducing sales among young people.

Coordinately embedding machine learning and optimization in the Monte Carlo simulation is proposed as a new framework for reliability evaluation, which is becoming more challenging due to the joining of variability and intermittency of the renewable generation and components’ ageing. As a machine learning method, the dynamic Bayesian belief network predicts the renewable outputs by generating their probability distributions through historical data to overcome the defect of rarely grasping the low-probability events in the traditional methods, which either predict a single-point value or presume a parametric probability distribution. As the internal operation module of the framework, the rolling-horizon unit commitment maintains the complexity of the operation model and meantime punctually updates the predicted renewable generation and the components’ ageing. The dynamic Bayesian belief network and the rolling-horizon unit commitment traverse time step after time step throughout the horizon, and thus form one bid of the Monte Carlo simulation. In each time step, the dynamic Bayesian belief network extracts the probability distributions of the renewable generation, from which the boundary of the commitment is sampled, and the impact of scheduling the generators on their ageing is then accumulated from the commitment. The proposed framework has its effectiveness proved on a microgrid.

The ionogel material has functional designability and a network structure, so we designed this new ionogel@silica composite material that can be used as a stationary phase in liquid chromatography. 1-Allyl-3-vinylimidazolium tetrafluoroborate was bonded and chemically cross-linked on the surface of silica microspheres through the thiol olefin click reaction. Dodecanethiol was used as the end-capping group to prepare this new type of stationary phase. Infrared spectroscopy, elemental analysis, scanning electron microscopy, thermogravimetric analysis and other methods were used to demonstrate the successful preparation of this material. It can overcome the limited retention problem of purely hydrophilic group-modified chromatographic columns. Analytes such as nucleosides/bases, amino acids, sulfanilamides, polycyclic aromatic hydrocarbons and complex samples were separated and tested on ion gel-bonded chromatographic columns. The results show that the preparation of this new type of gel-bonded chromatographic column expands the possibility of applying gel materials in liquid chromatographic separation. This method provides a general method for easily incorporating various functional groups into chromatographic materials to develop stimulus-responsive liquid chromatography.

Laser absorption spectroscopy combined with spectral analysis has been extensively investigated in detection and measurements of gas samples because of their broad applicability for measuring more ...

To solve seismic wave scattering by a large-scale three-dimensional (3-D) hill topography, a fast parallel indirect boundary element method (IBEM) is developed by proposing a new construction method for the wave field, modifying the generalized minimum residual (GMRES) algorithm and constructing an OpenMP plus MPI parallel model. The validations of accuracy and efficiency show that this method can solve 3-D seismic response of a large-scale hill topography for broadband waves, and overcome the weakness of large storage and low efficiency of the traditional IBEM. Based on this new algorithm architecture, taking the broadband scattering of plane SV waves by a large-scale Gaussian-shaped hill of thousands-meters height as an example, the influence of several important parameters is investigated, including the incident frequency, the incident angle and the height-width and length-width ratio of the hill. The numerical results illustrate that the amplification effect on the ground motion by a near-hemispherical hill is more significant than the narrow hill. For low-frequency waves, the scattering effect of the higher hill is more pronounced, and there is only a single peak near the top of the hill. However, for high-frequency waves, rapid spatial variation of displacement amplitude appears on the hill surface.

Energy storage system (ESS) management benefits the operation of all-electric ships (AESs) since its ability to balance the generation and demand. However, current works rarely consider the influence of navigation uncertainties, i.e., uncertain water waves and winds, and fail to address two characteristics of shipboard ESS, i.e., redundant capacity and distributed locations. In this paper, a two-stage robust optimal shipboard microgrid operation method is proposed to mitigate the pre-voyage and intra-voyage navigation uncertainties. The first stage is to regulate the onboard generation and voyage variables for addressing the worst pre-voyage navigation uncertainties and the second stage is an on-line recourse action which acts on intra-voyage uncertainty realization. To address the characteristics of shipboard ESS, the onboard batteries are separated into two groups and a multi-battery management strategy is proposed for the battery lifetime extension. An AES with 4 DGs and 4 batteries is used in the case studies. The simulation results show that the proposed method can well adapt to the navigation uncertainties and the multi-battery management can extend the battery lifetime by iteratively using different battery groups.

Introduction Tobacco product prices and consumers’ income are the two major economic determinants of tobacco demand. The affordability of tobacco products is dependent on the price of tobacco products relative to consumer income. Increase in tobacco tax is expected to lead to higher price, lower affordability, and reduced consumption. Price elasticity and affordability elasticity are used in analyzing the effect of tobacco tax increases on tobacco consumption and public health. The availability of both parameters raises the question of which one to apply in policy discussions. Aims and Methods Using global data on cigarette consumption, price, income, and tobacco control measures for 169 countries over 2007–2016, this study estimated the price elasticity and affordability elasticity of cigarette consumption by country income classification using country-specific fixed effects model for panel data. Results The estimates show that the restriction of equal strength of the effects of price and income changes on tobacco consumption maintained in affordability elasticity estimation is valid for low- and middle-income countries, while it is rejected for high-income countries. Conclusions Affordability elasticity may prove to be a useful parameter to explain and predict the sensitivity of consumers to tobacco tax and price policy changes under conditions of robust economic growth, which are more likely to be observed in countries with initial low- or middle-income setting. It can provide a reasonable benchmark for tobacco tax and price increase necessary to effectively reduce affordability and consumption of tobacco, which can form a basis for building systematic tax and price increases into the tobacco tax policy mechanism. Implications Price elasticity measures the sensitivity of consumers to changes in real prices, holding real income constant. Affordability elasticity measures the sensitivity of consumers to price changes adjusted for inflation and income changes. Existing scientific literature on tobacco demand abounds in both price and affordability elasticity estimates, without providing a clear explanation of the theoretical and policy implications of using one parameter over the other. By estimating and comparing price and affordability elasticities for high-income and low-and-middle-income countries separately, this article offers a guide to the practitioners in tobacco taxation for evaluating the effectiveness of tax-induced price increases on tobacco consumption.

The objective of the present study was to investigate the association between angiotensin-converting enzyme (ACE) inhibitor use and cancer incidence (overall, and breast, prostate, and colorectal cancers specifically) in a large representative sample of US adults. Cross-sectional data on cancer diagnosis, timing of cancer diagnosis, ACE inhibitor use, and other characteristics were extracted from 49 512 adults aged ≥ 20years participating in the National Health and Nutrition Examination Survey (1999–2016). Multivariable-logistic and propensity score matching (PSM) regressions examined the relationship between pre-diagnosis use of ACE inhibitors and diagnosis of all cancers, and breast, prostate, and colorectal cancers specifically. Overall, we observed an increased likelihood of cancer diagnosis [odds ratio (OR) 1.269, 95% confidence interval (CI) 1.088–1.480] among those who used ACE inhibitors compared to non-ACE inhibitor use, and for prostate cancer diagnosis (OR 1.438, 95% CI 1.090–1.897), after adjusting for age, sex, body mass index, race/ethnicity, educational attainment, physical activity, alcohol drinking status, smoking status, and high blood pressure. PSM regression retrieved more conservative estimates such that the increased likelihood of cancer diagnosis was only observed when comparing ACE inhibitor users with non-drug users (OR 1.022, 95% CI 1.016–1.027). Compared with non-ACE inhibitor use, ACE inhibitor use was associated with an increased risk of prostate cancer. In conclusion, in this large representative sample of US adults, it was found that ACE inhibitor use may have a marginal influence on some cancers. © 2020, Springer Nature Switzerland AG.

Since graphene was first reported as a saturable absorber to achieve ultrafast pulses in fiber lasers, many other two-dimensional (2D) materials, such as topological insulators, transition metal dichalcogenides, black phosphorus, and MXenes, have been widely investigated in fiber lasers due to their broadband operation, ultrafast recovery time, and controllable modulation depth. Recently, solution-processing methods for the fabrication of 2D materials have attracted considerable interest due to their advantages of low cost, easy fabrication, and scalability. Here, we review the various solution-processed methods for the preparation of different 2D materials. Then, the applications and performance of solution-processing-based 2D materials in fiber lasers are discussed. Finally, a perspective of the solution-processed methods and 2D material-based saturable absorbers are presented.

Purpose Majority of the existing direct slicing methods have generated precise slicing contours from different surface representations, they do not carry any interior information. Whereas, heterogeneous solids are highly preferable for designing and manufacturing sophisticated models. To directly slice heterogeneous solids for additive manufacturing (AM), this study aims to present an algorithm using octree-based subdivision and trivariate T-splines. Design/methodology/approach This paper presents a direct slicing algorithm for heterogeneous solids using T-splines, which can be applied to AM based on the fused deposition modeling (FDM) technology. First, trivariate T-splines are constructed using a harmonic field with the gradient direction aligning with the slicing direction. An octree-based subdivision algorithm is then used to directly generate the sliced layers with heterogeneous materials. For FDM-based AM applications, the heterogeneous materials of each sliced layer are discretized into a finite number of partitions. Finally, boundary contours of each separated partition are extracted and paired according to the rules of CuraEngine to generate the scan path for FDM machines equipped with multi-nozzles. Findings The experimental results demonstrate that the proposed algorithm is effective and reliable, especially for solid objects with multiple materials, which could maintain the model integrity throughout the process from the original representation to the final product in AM. Originality/value Directly slicing heterogeneous solid using trivariate T-splines will be a powerful supplement to current technologies in AM.

Objectives: In this study, we used a discrete choice experiment (DCE) conducted August-October 2017 to examine electronic nicotine delivery systems (ENDS) product preferences in a national sample of adult smokers (N = 1154) who were also using ENDS or had not ruled out future use. Methods: The DCE evaluated 5 ENDS attributes: relative harm; effectiveness for helping smokers quit; nicotine strength; flavor; and price. We asked participants to choose among their own cigarettes, 2 ENDS products whose attributes varied across tasks, or none. We analyzed ENDS preferences using multinomial, nested, and mixed logit regressions. Results: Smokers preferred ENDS that are less harmful than cigarettes, are effective in helping smokers quit, are lower priced, and are not menthol-flavored. The marginal willingness to pay for an ENDS product was $8.40 when less harmful than cigarettes, $4.13 when of unknown effectiveness in helping quitting ($13.90 when effective), and $3.37 when ENDS are not menthol-flavored. Furthermore, the overall flavor preference is driven by tobacco smokers, not by menthol cigarette smokers who do prefer menthol-flavored ENDS. Conclusions: Policies that affect perceptions of ENDS effectiveness in promoting cessation and their relative harm may alter smokers' ENDS preferences. Regulating flavors and price also may influence adult smokers' ENDS preference.

The lifetime of shipboard energy storage systems (ESSs) has great impacts on the operating cost of all-electric ships (AESs) since their high investment costs. Additionally, those ESSs are designed to have multiple battery packs with high capacity redundancy to cope with various navigation scenarios and distributed in different electric zones onboard to avoid operating risks. To extend the battery lifetime while fully addressing the redundant capacity and distributed locations, an optimal hierarchical management model for shipboard multibattery ESS is proposed, which consists of three levels. In the first level, a practical quadratic degradation cost model is reformulated from a nonlinear data-driven model, which considers both the depth of discharge (DoD) and mean state of charge (MSOC). Then, in the second level, the obtained quadratic model is implemented into the shipboard generation scheduling that views the multibattery ESS as a “single battery pack. ”In the third level, a multibattery management strategy is implemented to split the “single battery pack’s” power to each battery group by iteratively limiting their MSOCs. To bring the proposed energy management method into practical usage, a real-time simulation experiment is designed to test its validity. The case study shows that the proposed method is suitable for real-time usage and reveals that iteratively regulating the MSOC of batteries will greatly facilitate their lifetime. As a result, the operating cost of AESs can be reduced due to battery lifetime extension.

Background: We conducted a discrete choice experiment (DCE) among young adult cigarette smokers in the period July–August 2018 to examine their preference for cigarillos in response to various packaging-related attributes, including flavor, flavor description, quality descriptors, pack size, and prices. Methods: A convenience sample of 566 US young adult cigarette smokers aged 18–34, among whom 296 were current little cigar and cigarillo (LCC) smokers, were recruited using Facebook ads and invited to participate in an online (Qualtrics) tobacco survey containing DCE and tobacco use questions. In the experiment, participants chose among two cigarillo products or “neither” (opt-out). Results: We analyzed preferences for LCCs using multinomial, nested, random parameter logit models. Results showed that young adult cigarette smokers preferred grape over menthol, tobacco/regular, and wine flavors, “color only” and “color and text” flavor depictions over text only, “smooth” and “sweet” quality descriptors over “satisfying”, and larger pack sizes and lower prices. Conclusions: Regulating packaging-related features will impact LCC choices among US young adult smokers. FDA regulation over these packaging-related features may impact LCC use among young adult smokers.

Introduction: Electronic cigarettes are the most popular tobacco product among U.S. youth, and over 80% of current youth users of e-cigarettes use flavored e-cigarettes, with fruit, mint/menthol, and candy/sweets being the most popular flavors. A number of new e-liquid flavors are currently emerging in the online e-cigarette market. Menthol and other flavored e-cigarettes could incentivize combustible tobacco smokers to transition to e-cigarette use. Methods: From February to May 2021, we scraped data of over 14,000 e-liquid products, including detailed descriptions of their flavors, from five national online vape shops. Building upon the existing e-liquid flavor wheel, we expanded the semantic databases (i.e., key terms) to identify flavors using WordNet—a major database for keyword matching and group discussion. Using the enriched databases, we classified 14,000+ e-liquid products into the following 11 main flavor categories: “fruit”, “dessert/candy/sweets”, “coffee/tea”, “alcohol”, “other beverages”, “tobacco”, “mint/menthol”, “nuts”, “spices/pepper”, “other flavors”, and “unspecified flavor”. Results: We find that the most prominent flavor sold in the five online vape shop in 2021 was fruit flavored products, followed by dessert/candy/other sweets. Online vendors often label a product with several flavor profiles, such as fruit and menthol. Conclusions: Given that online stores market products with multiple flavor profiles and most of their products contain fruit flavor, the FDA may have issued marketing denial orders to some of these products. It is important to further examine how online stores respond to the FDA flavor restrictions (e.g., compliance or non-compliance).

Optical ultrasound sensors have been increasingly employed in biomedical diagnosis and photoacoustic imaging (PAI) due to high sensitivity and resolution. PAI could visualize the distribution of ultrasound excited by laser pulses in biological tissues. The information of tissues is detected by ultrasound sensors in order to reconstruct structural images. However, traditional ultrasound transducers are made of piezoelectric films that lose sensitivity quadratically with the size reduction. In addition, the influence of electromagnetic interference limits further applications of traditional ultrasound transducers. Therefore, optical ultrasound sensors are developed to overcome these shortcomings. In this review, optical ultrasound sensors are classified into resonant and non-resonant ones in view of physical principles. The principles and basic parameters of sensors are introduced in detail. Moreover, the state of the art of optical ultrasound sensors and applications in PAI are also presented. Furthermore, the merits and drawbacks of sensors based on resonance and non-resonance are discussed in perspectives. We believe this review could provide researchers with a better understanding of the current status of optical ultrasound sensors and biomedical applications.

T-spline surface fitting from input triangular mesh is a common task in T-splines related CAD applications. One major objective to this problem is creating T-spline surface with fewer control points and higher accuracy. This paper proposes several effective approaches to improve fitting results. The proposed approaches include an incremental sampling strategy for robust initial fitting, a global effective re-parameterization algorithm called NUFR (non-uniform faithful re-parameterization) for a proper mesh parameterization, and a GA (genetic algorithm) based T-mesh knot structure optimization process for an optimal knot structure. The tradeoff between mesh simplicity and fitting accuracy can be adjusted with a few input parameters. Experiments on different models are provided to demonstrate the effectiveness of these approaches. Compared with the classic adaptive fitting result, the result of the proposed algorithm has smaller RMS error. And typically, the number of control points will be reduced by about 30%.

The Tobacco Regulatory Science Program is a collaborative research effort between the National Institutes of Health (NIH) and the Food and Drug Administration (FDA). In 2013, the NIH funded 14 Tobacco Centers of Regulatory Science (TCORS), which serve as partners in establishing research, training, and professional development programs to guide FDA. Each of the fourteen TCORS, and two other NIH-funded research programs, the Center for the Evaluation of Nicotine in Cigarettes (CENIC) and the Consortium on Methods Evaluating Tobacco (COMET), pursued specific research themes relevant to FDA’s priorities. A key mandate for FDA is to reduce tobacco use among young people. This article is a review of the peer-reviewed research, including published and in-press manuscripts, from the TCORS, CENIC, and COMET, which provides specific data or other findings on youth (ages 10–18 years) and/or young adults (ages 18–34 years), from 2013 to 2018. Citations of all TCORS, CENIC, and COMET articles from September 2013 to December 2017 were collected by the TCORS coordinating center, the Center for Evaluation and Coordination of Training and Research. Additional citations up to April 30, 2018 were requested from the principal investigators. A scoring rubric was developed and implemented to assess study type, primary theme, and FDA priority area addressed by each article. The major subareas and findings from each priority area are presented. There were 766 articles in total, with 258 (34%) focusing on youth and/or young adults. Findings relevant to FDA from this review concern impact analysis, toxicity, health effects, addiction, marketing influences, communications, and behavior. Implications The Tobacco Centers of Regulatory Science, CENIC, and COMET have had a high output of scientific articles since 2013. These Centers are unique in that the FDA supports science specifically to guide future regulatory actions. The 258 articles that have focused on youth and/or young adults are providing data for regulatory actions by the FDA related to the key priority areas such as the addictiveness of non-cigarette products, the effects of exposure to electronic cigarette marketing on initiation and cessation, and the impact of flavored products on youth and young adult tobacco use. Future regulations to reduce tobacco use will be guided by the cumulative evidence. These Centers are one innovative mechanism to promote important outcomes to advance tobacco regulatory science.

BACKGROUND: Our study explores the relationships between cigarette smoking and nicotine vaping product (NVP) use in the US by emphasizing the role of explicit (i.e., price) and implicit (i.e., use restrictions in public places) costs of nicotine products. We investigate the associations between prices, use restrictions in public places and use patterns of cigarettes and NVPs (i.e. NVP use, concurrent use, and complete switch to NVPs). DESIGN/METHODS: Data came from the Wave 1 (2016) US data of the ITC Four Country Smoking and Vaping Survey (ITC US 4CV1) and Nielsen Scanner Track database. A multiple logistic regression model was applied to estimate the likelihoods of NVP use (vaping at least monthly), cigarette/NVP concurrent use (vaping and smoking at least monthly), and switch from cigarettes to NVPs (had quit smoking < 24 months and currently vape) among ever smokers, conditioning upon cigarette/NVP prices, use restrictions and socio-demographics. RESULTS: Living in places where vaping is allowed in smoke-free areas was significantly associated with an increase in the likelihood of vaping (Marginal Effect, M.E. = 0.17; p0.05). Higher cigarette prices were associated with greater likelihood of cigarette and NVP concurrent use (P>0.05). Working in places where vaping is banned is associated with lower likelihood of vaping and NVP and cigarette concurrent use (P>0.05). CONCLUSIONS: Higher NVP prices and vaping restrictions in public places were associated with less NVP use and less concurrent use of vaping and smoking. Public policies that work to increase the prices paid for vaping devices and supplies (i.e., regulations, taxes) and restrict where vaping is allowed are likely to suppress vaping as an alternative to cigarettes.

OBJECTIVES: Public health policies are often enacted without adequate consideration of the existing market structure or their impacts on that market structure. This paper provides context for the potential impact of regulations on nicotine vaping products (NVP) use by providing a structural analysis of competition in the US NVP market before FDA regulation. METHODS: A literature review was conducted with the aim of providing a framework for analysis that: 1) defines the market; 2) evaluates market concentration; 3) identifies entry barriers; and 4) examines firm conduct. RESULTS: The NVP market includes retail, internet sellers and vape shops. Although conventional retail became more concentrated after the major cigarette companies entered the NVP market, the vape shop and internet sectors remain substantially less concentrated, producing an overall low market concentration, with few entry barriers and competitive behavior. CONCLUSIONS: The largely unregulated US NVP market has been highly competitive, with a high degree of innovation. However, new FDA deeming regulations as applied to NVPs could make it difficult for smaller companies to remain in the market and could discourage new companies and new product innovations from entering the market.

OBJECTIVES: Tobacco company conduct has been a central concern in tobacco control. Nevertheless, the public health community has not taken full advantage of the large economics and marketing literature on market competition in the cigarette industry. METHODS: We conducted an unstructured narrative review of the economics and marketing literature using an antitrust framework that considers: 1) market; definition, 2) market concentration; 3) entry barriers; and 4) firm conduct. RESULTS: Since the 1960s, U.S. cigarette market concentration has increased primarily due to mergers and growth in the Marlboro brand. Entry barriers have included brand proliferation, slotting allowance contracts with retailers and government regulation. While cigarette sales have declined, established firms have used coordinated price increases, predatory pricing and price discrimination to sustain their market power and profits. CONCLUSIONS: Although the major cigarette firms have exercised market power to increase prices and profits, the market could be radically changing, with consumers more likely to use several different types of tobacco products rather than just smoking a single cigarette brand. Better understanding of the interaction between market structure and government regulation can help develop effective policies in this changing tobacco product market.

The battery energy storage system (BESS) helps reduce the electricity bill of industrial customers (IC) with photovoltaic power (PV). Given the current high investment cost of BESS, the detailed cost-benefit analysis of BESS considering PV uncertainty is needed for enterprise owners to judge whether the profits can be obtained by incorporating BESS. In this context, a bi-level stochastic programming model is proposed to determine the optimal power and capacity of BESS. The upper model aims at deciding the optimum size of BESS, and the lower model focuses on optimizing BESS operation. The benefit from reducing electricity bills, the benefit from financial subsidies, the investment cost, as well as the operation and maintenance cost of BESS are assessed carefully, the impacts of the lifetime characteristics of BESS on which are fully taken account of. Simulation results on an actual IC with PV validate the effectiveness of the proposed methodology.

BackgroundAlthough e-cigarette excise taxes have great potential to prevent the initiation and escalation of e-cigarette use, little information is available on pricing activities of online vape shops, and how well taxation is implemented during web-based sales remains unclear.ObjectivesWe examine e-liquid pricing activities in popular online vape shops that sell nationwide in the USA and present how those stores charge excise taxes based on shipping addresses in states and local jurisdictions that have e-cigarette taxation in place.MethodsWe collect e-liquid sales prices from five online vape shops using web data extraction, standardise prices for e-liquid products, and present e-liquid price distribution in the whole sample and in each store, as well as variations of excise taxes across states/local jurisdictions and between stores. The price data were scraped from the store websites from February to May in 2021.ResultsWe collected data on 14 477 e-liquid products from five stores. The average price of e-liquids is $0.25/mL, and the median price is $0.20/mL in our sample. E-liquid products sold online are very affordable and the average prices are lower compared with price estimates using other sources (eg, self-reports, sales data). In addition, online stores charge state excise taxes inconsistently and fail to comply with county-level or city-level excise taxes.ConclusionE-liquid products sold online are priced low, and stricter enforcement of e-cigarette excise tax is needed in online purchasing channels.

e22502 Background: The use of electronic cigarettes has significantly increased in the past decade, and online stores are one of the most common outlets for e-cigarette users to purchase vaping products. The goal of this study is to examine the appeal of different e-liquid flavors to vapers, using a revealed preference method to estimate consumer demand. Methods: We collected data on e-liquid sales prices, volume (in ml), and a variety of product flavors, from online vaping stores using web data extraction. We standardized prices for e-liquid products and used the hedonic pricing model to assess the associations between standardized e-liquid prices and flavors, controlling for nicotine concentration (in mg) and product VG/PG ratio. In total, we collected data of 10,870 e-liquid products from four popular online vaping stores that sell nationwide across the U.S. Results: Higher e-liquid prices (standardized to $/ml) are associated with higher nicotine concentrations. E-liquid products with fruit tobacco flavors are associated with higher sales prices. E-liquid prices are higher when VG/PG ratio deviates from 70/30 except for 90/10: the prices of e-liquid products with a 90/10 VG/PG ratio are lower than the prices of products with a 70/30 ratio. All of the findings above are statistically significant at a 5% level. Conclusions: Higher nicotine concentration and fruit flavors are associated with higher e-liquid prices in national online vaping stores, suggesting that they are preferred attributes and are in greater demand among vapers in the market of heterogeneous e-liquid products.

Discrete choice experiments (DCEs) are used to provide evidence for policymaking and nonmarket valuation in health. A perennial issue with the stated preference data used in DCEs is hypothetical bias; that is, hypothetical responses in experiments may differ from real-world behavior. A randomized DCE tested whether an incentive-compatible preference elicitation reduced hypothetical bias. Adult smokers were randomly assigned to either an incentive-compatible arm or a control arm; and then made DCE choices among cigarettes, e-cigarettes, and an opt-out. We examined the impacts on product choices, willingness to pay, and the scale of utility. Scale and willingness to pay were unaffected by the incentive. Respondents in the incentive-compatible arm were more likely to choose e-cigarettes. That is, the incentive-compatible approach affected product choices rather than scale/attribute preferences. Thus, while it is feasible to use incentive-compatibility mechanisms to manipulate experimental behaviors, the approach did not induce the hypothesized effect on preferences in this setting.

We find, for two-electron closed-shell systems (${\mathrm{H}}_{2}$ molecule, $\mathrm{He}$ atom), symmetry-forbidden peaks in the high-order harmonic spectra obtained by the time-dependent Kohn-Sham equations, and clarify their origin. It turns out that fixation of the number of Kohn-Sham orbitals and their occupations gives rise to unphysical transition paths and, therefore, incorrect populations of the one-electron excited states, which leads to even-order harmonics in systems with inversion symmetry. We show that the time-dependent natural Kohn-Sham and time-dependent configuration interaction equations do not suffer from this shortcoming.

As a kind of flexible load with bi-directional energy interaction, microgrid (MG) can deliver power when power converters operate in grid-feeding mode. Grid-feeding inverters can be controlled as a current source. This paper analyses the control strategy of grid-feeding power converters in an MG, develops an impedance model of the system with multiple parallel current-source-based inverters(VSIs). Further, an impedance reshaping approach is proposed to enhance the stability of MGs as flexible loads. The approach is validated by simulation results.

When the voltage source converter based high voltage direct current (VSC-HVDC) system is connected to an AC weak grid, the power coupling will impose the challenge to the stability and controllability of the power system. This paper derives the linear model of dual loop controlled VSC. Based on developed linear model, coupling characteristics of VSC-HVDC system are revealed in two aspects of phase lock loop (PLL) and power control loop under a weak grid condition. Furthermore, it proposed a power decoupling control strategy. Simulation studies have verified the effectiveness of the proposed control strategy.

Background:\ud \ud Many countries have implemented alcohol excise taxes. However, measures of excise taxes as a percentage of alcohol prices have not been systematically studied.\ud \ud Methods:\ud \ud Data on the retail prices of alcoholic beverages sold in stores and excise taxes in 26 countries during 2003–2018 was from the Economist Intelligence Unit price city data and the Organization for Economic Co-operation and Development (OECD) tax database. The percentages of excise taxes in off-premise retail prices were derived as the ratio of taxes to prices at different price levels. Changes of excise taxes over time were assessed using negative binominal regressions.\ud \ud Results:\ud \ud The percentage of excise taxes in average off-premise alcohol prices was from 5 % in Luxembourg to 59 % in Iceland for beer, and from 0 % in France to 26 % in Iceland for wine. Excise taxes accounted for 5% of discount liquor prices in Czech Republic to 41 % in Sweden for Cognac, for 19 % in the United States (US) to 67 % in Sweden for Gin, for 13 % in the US to 63 % in Australia for Scotch Whisky six years old, and for 6 % in Iceland to 76 % in Sweden for Liqueur Cointreau. There were no significant changes in the percentage of excise taxes in alcohol prices over time in most countries except for Nordic countries. While wine had the lowest excise taxes, liquors had the highest tax burden.\ud \ud Conclusion:\ud \ud Tax burden on alcoholic beverages is low in OECD countries, indicating ample room for increasing alcohol excise taxes, particularly for beer and wine in those countries.

Bulk storage has been prevailing in power systems, especially those having large-scale renewable penetration, for its advantage of smoothing the power supply and demand, and consequently postponing the infrastructure investment by making full use of the existing. Planning storage in power systems determines the economics in its later operation stage and requires integrating the optimal charge and discharge of the storage, i.e., storage dispatch into power system planning. Storage dispatch has been coordinated with the optimal operation of the generation, namely, economic dispatch and unit commitment, to form the storage-integrated generation scheduling. That unit commitment has been considered embedding into power system planning to reflect the accurate operation of the system on the planning stage; the storage-integrated generation scheduling naturally provides the operation strategy of both the generation and storage for the planning stage. This chapter hence introduces the planning of storage for the bulk power system, its modeling and solution with a decomposition algorithm, after reviewing the storage dispatch and the storage-integrated generation scheduling, which extends the storage planning to topics that fit the modern power systems, namely, the life-constrained storage planning and storage planning for combined heat and power systems.

Recently, 2D materials are in great demand for various applications such as optical devices, supercapacitors, sensors, and biomedicine. MXenes as a kind of novel 2D material have attracted considerable research interest due to their outstanding mechanical, thermal, electrical, and optical properties. Especially, the excellent nonlinear optical response enables them to be potential candidates for the applications in ultrafast photonics. Here, a review of MXenes synthesis, optical properties, and applications in ultrafast lasers is presented. First, aqueous acid etching and chemical vapor deposition methods for preparing MXenes are introduced, in which the storage stability and challenges of the existing synthesis techniques are also discussed. Then, the optical properties of MXenes are discussed specifically, including plasmonic properties, optical detection, photothermal effects, and ultrafast dynamics. Furthermore, the typical ultrafast pulsed lasers enabled by MXene-based saturable absorbers operated at different wavelength regions are summarized. Finally, a summary and outlook on the development of MXenes is presented in the perspectives section.

The chloroplast genome sequences of Dianyuea turbinata (H.J. Dong & H. Peng) C. Shang, S. Liao & Z.X. Zhang, endemic to Yingjiang County, Yunnan Province, China, was presented in this study (Dong and Peng 2013; Shang et al. 2017). The chloroplast genome sequence was 154,045 bp in length, with a large single-copy (LSC) region of 82,247 bp, a small single-copy (SSC) region of 16,522 bp, separated by two inverted repeat (IR) regions of 27,638 bp each. The total GC content was 37.1%. The complete plastome sequence contained 134 genes, including 89 protein-coding, 37 tRNA and 8 rRNA genes. The phylogenetic status of genus Dianyuea has been clarified through a Maximum-likelihood tree based on the chloroplast genome of 17 species.

Macrophages have an affinity to developing tumors and have been shown to play a role in tumor combat and immune surveillance. However, the exact mechanism by which macrophages participate in the anti-tumor immune response remains unclear. Hence, the current study aimed to identify the effect of macrophages on gastric cancer (GC) cells via exosomes. Paired cancerous, tumor-adjacent, and non-cancerous stomach tissues were initially from 68 GC patients. T cells were isolated from peripheral blood mononuclear cells (PBMCs) obtained from both the GC patients as well as the healthy donors. Next, the exosomes were isolated from LPS and IFN-γ-induced PBMCs (M1 macrophages) and co-cultured with human GC cells. Another co-culture system comprised of CD3+ T cells and exosomes-treated GC cells was then performed. BALB/c mice and NOD/SCID nude mice were prepared for effects of exosomal miR-16-5p on tumor growth and anti-tumor immune response in GC in vivo. A relationship between M1 macrophages and the poor survival of GC patients was identified, while they secreted exosomes to inhibit GC development and activate a T cell-dependent immune response. Our results revealed that miR-16-5p was transferred intercellularly from M1 macrophages to GC cells via exosomes and targeted PD-L1. M1 macrophage-derived exosomes containing miR-16-5p were found to trigger a T cell immune response which inhibited tumor formation both in vitro and in vivo by decreasing the expression of PD-L1. Taken together, the key findings of the current study suggest that M1 macrophage-derived exosomes carrying miR-16-5p exert an inhibitory effect on GC progression through activation of T cell immune response via PD-L1. Our study highlights the promise of M1 macrophages as a potential cell-based therapy for GC treatment by increasing miR-16-5p in exosomes.