Estimated cost of extra work hours from co-workers' drinking in Thailand

INTRODUCTION

Alcohol's harm to others (AHTO) in workplaces has received little attention. A few studies from high-income countries have estimated the cost of AHTO in workplaces, while data from the low- and middle-income countries are lacking. This study aimed to estimate the cost of AHTO in workplaces and to explore factors associated with the cost of AHTO in workplaces.

METHODS

Data were taken from 1392 employed respondents who participated in a survey conducted in Thailand from September 2012 to March 2013. The cost of extra work hours was estimated from the hourly wage and extra hours of work. The hourly wage was computed by converting monthly income to weekly income and dividing weekly income by weekly working hours. The gamma regression with log link was used to determine factors associated with the cost of extra working hours.

RESULTS

The past-year prevalence of harm from co-workers' drinking was 17.8% among the employed population. The prevalence of working extra hours was 6.1%. On average, an affected worker worked 16.0 extra hours due to co-workers' drinking. In total, 28.8 million hours of extra work was attributed to co-workers' drinking in 1 year. The cost of these extra work hours was 1.8 billion Thai baht (57.8 million USD). Age, education and type of employment were associated with the cost of working extra hours.

DISCUSSION AND CONCLUSIONS

The burden of alcohol in workplaces extends beyond drinking workers. Our findings indicate that alcohol imposes a significant cost on co-workers of drinkers.

Behavioral health and experience of violence among cisgender heterosexual and lesbian, gay, bisexual, transgender, queer and questioning, and asexual (LGBTQA+) adolescents in Thailand

BACKGROUND

Assessment of health disparities between population groups is essential to provide basic information for resource prioritization in public health. The objective of this study is to assess the extent that behavioral health outcomes and experience of violence varied between cisgender heterosexual adolescents and those who identified as lesbian, gay, bisexual, transgender, queer and questioning, and asexual (LGBTQA+) in the 5th National School Survey on Alcohol Consumption, Substance Use and Other Health-Risk Behaviors.

METHODS

We surveyed secondary school students in years 7, 9 and 11 in 113 schools in Thailand. We used self-administered questionnaires to ask participants about their gender identity and sexual orientation and classified participants as cisgender heterosexual, lesbian, gay, bisexual, transgender, queer and questioning, or asexual, stratified by sex assigned at birth. We also measured depressive symptoms, suicidality, sexual behaviors, alcohol and tobacco use, drug use, and past-year experience of violence. We analyzed the survey data using descriptive statistics with adjustment for sampling weights.

RESULTS

Our analyses included data from 23,659 participants who returned adequately-completed questionnaires. Among participants included in our analyses, 23 percent identified as LGBTQA+ with the most common identity being bisexual/polysexual girls. Participants who identified as LGBTQA+ were more likely to be in older year levels and attending general education schools rather than vocational schools. LGBTQA+ participants generally had higher prevalence of depressive symptoms, suicidality, and alcohol use than cisgender heterosexual participants, whereas the prevalence of sexual behaviors, lifetime history of illicit drug use, and past-year history of violence varied widely between groups.

CONCLUSION

We found disparities in behavioral health between cisgender heterosexual participants and LGBTQA+ participants. However, issues regarding potential misclassification of participants, limitation of past-year history of behaviors to the context of the COVID-19 pandemic, and the lack of data from youths outside the formal education system should be considered as caveats in the interpretation of the study findings.

FriendlyClearMap: an optimized toolkit for mouse brain mapping and analysis

BACKGROUND

Tissue clearing is currently revolutionizing neuroanatomy by enabling organ-level imaging with cellular resolution. However, currently available tools for data analysis require a significant time investment for training and adaptation to each laboratory's use case, which limits productivity. Here, we present FriendlyClearMap, an integrated toolset that makes ClearMap1 and ClearMap2's CellMap pipeline easier to use, extends its functions, and provides Docker Images from which it can be run with minimal time investment. We also provide detailed tutorials for each step of the pipeline.

FINDINGS

For more precise alignment, we add a landmark-based atlas registration to ClearMap's functions as well as include young mouse reference atlases for developmental studies. We provide an alternative cell segmentation method besides ClearMap's threshold-based approach: Ilastik's Pixel Classification, importing segmentations from commercial image analysis packages and even manual annotations. Finally, we integrate BrainRender, a recently released visualization tool for advanced 3-dimensional visualization of the annotated cells.

CONCLUSIONS

As a proof of principle, we use FriendlyClearMap to quantify the distribution of the 3 main GABAergic interneuron subclasses (parvalbumin+ [PV+], somatostatin+, and vasoactive intestinal peptide+) in the mouse forebrain and midbrain. For PV+ neurons, we provide an additional dataset with adolescent vs. adult PV+ neuron density, showcasing the use for developmental studies. When combined with the analysis pipeline outlined above, our toolkit improves on the state-of-the-art packages by extending their function and making them easier to deploy at scale.

The seeds and homogeneous nucleation of photoinduced nonthermal melting in semiconductors due to self-amplified local dynamic instability

Laser-induced nonthermal melting in semiconductors has been studied over the past four decades, but the underlying mechanism is still under debate. Here, by using an advanced real-time time-dependent density functional theory simulation, we reveal that the photoexcitation-induced ultrafast nonthermal melting in silicon occurs via homogeneous nucleation with random seeds originating from a self-amplified local dynamic instability. Because of this local dynamic instability, any initial small random thermal displacements of atoms can be amplified by a charge transfer of photoexcited carriers, which, in turn, creates a local self-trapping center for the excited carriers and yields the random nucleation seeds. Because a sufficient amount of photoexcited hot carriers must be cooled down to band edges before participating in the self-amplification of local lattice distortions, the time needed for hot carrier cooling is the response for the longer melting time scales at shorter laser wavelengths. This finding provides fresh insights into photoinduced ultrafast nonthermal melting.

Atomic Sn-enabled high-utilization, large-capacity, and long-life Na anode

Constructing robust nucleation sites with an ultrafine size in a confined environment is essential toward simultaneously achieving superior utilization, high capacity, and long-term durability in Na metal-based energy storage, yet remains largely unexplored. Here, we report a previously unexplored design of spatially confined atomic Sn in hollow carbon spheres for homogeneous nucleation and dendrite-free growth. The designed architecture maximizes Sn utilization, prevents agglomeration, mitigates volume variation, and allows complete alloying-dealloying with high-affinity Sn as persistent nucleation sites, contrary to conventional spatially exposed large-size ones without dealloying. Thus, conformal deposition is achieved, rendering an exceptional capacity of 16 mAh cm^-2 in half-cells and long cycling over 7000 hours in symmetric cells. Moreover, the well-known paradox is surmounted, delivering record-high Na utilization (e.g., 85%) and large capacity (e.g., 8 mAh cm^-2) while maintaining extraordinary durability over 5000 hours, representing an important breakthrough for stabilizing Na anode.

Extremely fast-charging lithium ion battery enabled by dual-gradient structure design

Extremely fast-charging lithium-ion batteries are highly desirable to shorten the recharging time for electric vehicles, but it is hampered by the poor rate capability of graphite anodes. Here, we present a previously unreported particle size and electrode porosity dual-gradient structure design in the graphite anode for achieving extremely fast-charging lithium ion battery under strict electrode conditions. We develop a polymer binder-free slurry route to construct this previously unreported type particle size-porosity dual-gradient structure in the practical graphite anode showing the extremely fast-charging capability with 60% of recharge in 10 min. On the basis of dual-gradient graphite anode, we demonstrate extremely fast-charging lithium ion battery realizing 60% recharge in 6 min and high volumetric energy density of 701 Wh liter^-1 at the high charging rate of 6 C.

Oxygen activation on Ba-containing perovskite materials

Oxygen activation, including oxygen reduction reaction (ORR) and oxygen evolution reaction (OER), is at the heart of many important energy conversion processes. However, the activation mechanism of Ba-containing perovskite materials is still ambiguous, because of the complex four-electron transfer process on the gas-solid interfaces. Here, we directly observe that BaO and BaO₂ segregated on Ba-containing material surface participate in the oxygen activation process via the formation and decomposition of BaO₂. Tens of times of increase in catalytic activities was achieved by introducing barium oxides in the traditional perovskite and inert Au electrodes, indicating that barium oxides are critical for oxygen activation. We find that BaO and BaO₂ are more active than the B-site of perovskite for ORR and OER, respectively, and closely related to the high activity of Ba-containing perovskite.

Single-molecule field effect and conductance switching driven by electric field and proton transfer

Single-molecule junctions (SMJs) offer a novel strategy for miniaturization of electronic devices. In this work, we realize a graphene-porphyrin-graphene SMJ driven by electric field and proton transfer in two configurations. In the transistor configuration with ionic liquid gating, an unprecedented field-effect performance is achieved with a maximum on/off ratio of ~4800 and a gate efficiency as high as ~179 mV/decade in consistence with the theoretical prediction. In the other configuration, controllable proton transfer, tautomerization switching, is directly observed with bias dependence. Room temperature proton transfer leads to a two-state conductance switching, and more precise tautomerization is detected, showing a four-state conductance switching at high bias voltages and low temperatures. Such an SMJ in two configurations provides new insights into not only building multifunctional molecular nanocircuits toward real applications but also deciphering the intrinsic properties of matters at the molecular scale.

The effects of others' drinking on the harms to children in Thailand: Lessons from the WHO-ThaiHealth project

BACKGROUND

Many knowledge gaps exist in the area of alcohol-related harms in children research such as the potential impact of other's drinking and their social demography. Thus, this study aims to evaluate the effects of characteristics of household members and others' alcohol drinking on harms to children in Thailand.

DATA AND METHODS

This study examined 952 parents caring for children and adolescents under 18 years of age, using the questionnaire (i.e., The Harm to Others from Drinking under the WHO/ThaiHealth International Collaboration Research Project). They were interviewed between September 2012 and March 2013.

RESULTS

The study found that 15.89% of children and young people were affected by someone's drinking in at least one category of harms. People over 60 years of age were less likely to cause alcohol-related harm to children than those aged 18 to 29 (adjusted odds ratio [AOR] 0.19, 95% confidence interval [Cl]: 0.06-0.58). Households with a binge drinker or regular drinker (≥1 time/week) were more likely to have children at higher risk of suffering alcohol-related harm in comparison to households without alcohol drinker (AOR 4.75 and 1.92, respectively).

CONCLUSION

This study found that children whose family members are young adult or consume alcohol (i.e., weekly drinker or binge drinker) were significantly adversely affected. The most common problems were domestic violence and verbal abuse. Most of the problems, affecting children, were caused mostly by their parents.

Programmable allosteric DNA regulations for molecular networks and nanomachines

Structure-based molecular regulations have been widely adopted to modulate protein networks in cells and recently developed to control allosteric DNA operations in vitro. However, current examples of programmable allosteric signal transmission through integrated DNA networks are stringently constrained by specific design requirements. Developing a new, more general, and programmable scheme for establishing allosteric DNA networks remains challenging. Here, we developed a general strategy for programmable allosteric DNA regulations that can be finely tuned by varying the dimensions, positions, and number of conformational signals. By programming the allosteric signals, we realized fan-out/fan-in DNA gates and multiple-layer DNA cascading networks, as well as expanding the approach to long-range allosteric signal transmission through tunable DNA origami nanomachines ~100 nm in size. This strategy will enable programmable and complex allosteric DNA networks and nanodevices for nanoengineering, chemical, and biomedical applications displaying sense-compute-actuate molecular functionalities.

OUP accepted manuscript

Lipoprotein, especially high-density lipoprotein (HDL), particles are composed of multiple heterogeneous subgroups containing various proteins and lipids. The molecular distribution among these subgroups is closely related to cardiovascular disease (CVD). Here, we established high-resolution proteomics and lipidomics (HiPL) methods to depict the molecular profiles across lipoprotein (Lipo-HiPL) and HDL (HDL-HiPL) subgroups by optimizing the resolution of anion-exchange chromatography and comprehensive quantification of proteins and lipids on the omics level. Furthermore, based on the Pearson correlation coefficient analysis of molecular profiles across high-resolution subgroups, we achieved the relationship of proteome‒lipidome connectivity (PLC) for lipoprotein and HDL particles. By application of these methods to high-fat, high-cholesterol diet-fed rabbits and acute coronary syndrome (ACS) patients, we uncovered the delicate dynamics of the molecular profile and reconstruction of lipoprotein and HDL particles. Of note, the PLC features revealed by the HDL-HiPL method discriminated ACS from healthy individuals better than direct proteome and lipidome quantification or PLC features revealed by the Lipo-HiPL method, suggesting their potential in ACS diagnosis. Together, we established HiPL methods to trace the dynamics of the molecular profile and PLC of lipoprotein and even HDL during the development of CVD.