115 research outputs found
The China Syndrome in US: Import Competition, Crime, and Government Transfer
In this paper, we exploit the exogenous rise of Chinese imports in US to investigate the effect of import competition on crime at county level. Our results indicate that counties with high exposure to Chinese import competition are with high crime rates while the exposure effect on property crime is much larger than that for violent crime: one standard deviation increase of exposure will increase 2.1 more violent crimes in the county while such increase of exposure will cause 26.5 more property crimes. Interestingly, we find that the crime impact of exposure to Chinese import competition disappears in counties with high government transfer
The MTT-S Education Committee–Promoting education for all–2022
One of key roles of the IEEE Microwave Theory and Technology Society (MTT-S) Education Committee is to help with the career development of students and professionals at different stages in their careers. First, the committee aims to develop multiple education resources, such as monthly MTT-S webinars and the Distinguished Microwave Instructors (DMI) program. Next, the committee shares these resources through different activities and platforms, including undergraduate scholarships and graduate fellowships, as well as many student design competitions at MTT-S-sponsored conferences. Student newsletters feature review technology articles and announcements regarding the application deadlines of scholarships/fellowships as well as some important conferences. Finally, the committee works hard to increase the regional presence of the MTT-S through a wide range of activities.ITESO, A.C
Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination
Implementing precise detection of oil leaks in peak load equipment through
image analysis can significantly enhance inspection quality and ensure the
system's safety and reliability. However, challenges such as varying shapes of
oil-stained regions, background noise, and fluctuating lighting conditions
complicate the detection process. To address this, the integration of logical
rule-based discrimination into image recognition has been proposed. This
approach involves recognizing the spatial relationships among objects to
semantically segment images of oil spills using a Mask RCNN network. The
process begins with histogram equalization to enhance the original image,
followed by the use of Mask RCNN to identify the preliminary positions and
outlines of oil tanks, the ground, and areas of potential oil contamination.
Subsequent to this identification, the spatial relationships between these
objects are analyzed. Logical rules are then applied to ascertain whether the
suspected areas are indeed oil spills. This method's effectiveness has been
confirmed by testing on images captured from peak power equipment in the field.
The results indicate that this approach can adeptly tackle the challenges in
identifying oil-contaminated areas, showing a substantial improvement in
accuracy compared to existing methods
Comparison of heavy-ion transport simulations: Collision integral with pions and Δ resonances in a box
We compare ten transport codes for a system confined in a box, aiming at
improved handling of the production of resonances and pions, which is
indispensable for constraining high-density symmetry energy from observables
such as the yield ratio in heavy-ion collisions. The system in a
box is initialized with nucleons at saturation density and at 60 MeV
temperature. The reactions and
are implemented, but the Pauli blocking and the
mean-field potential are deactivated in the present comparison. Results are
compared to those from the two reference cases of a chemically equilibrated
ideal gas mixture and of the rate equation. In the results of the numbers of
and , deviations from the reference values are observed in many
codes, and they depend significantly on the size of the time step. These
deviations are tied to different ways in ordering the sequence of collisions
and decays, that take place in the same time step. Better agreements are seen
in the reaction rates and the number ratios among the isospin species of
and . These are, however, affected by the correlations, which are
absent in the Boltzmann equation, but are induced by the way particle
scatterings are treated in transport calculations. The uncertainty in the
transport-code predictions of the ratio for the system
initialized at n/p = 1.5, after letting the existing resonances decay,
is found to be within a few percent, which is sufficiently small so that it
does not strongly impact constraining the high-density symmetry energy from
heavy-ion collisions. Most of the sources of uncertainties have been
understood, and individual codes may be further improved. This investigation
will be extended in the future to heavy-ion collisions to ensure the problems
identified here remain under control.Comment: 36 pages, 27 figures; a new Fig. 21 and revised results from some
codes, achieving improved and consistent understandin
Agents of May Fourth. Jing Yinyu, Xu Zhongnian, and the Early Introduction of Modern Chinese Literature in France
Jing Yinyu (1901-1931?) and Xu Zhongnian (1904-1981) played a pivotal role in the dissemination of modern Chinese literature in France at the turn of the 1930s. Best known as Lu Xun’s first translator into a Western language and a friend of Romain Rolland’s, Jing compiled the Anthologie des conteurs chinois modernes in 1929. In his Anthologie de la littérature chinoise. Des origines à nos jours, published in 1932, Xu also devoted a section to recent literary developments. By analyzing the nature of the two projects, the translated corpora, and their paratexts, I will describe the features of Jing’s and Xu’s dissemination of May Fourth literature in France and scrutinize their artistic and ideological stance vis-à-vis the new literary scene. Ultimately, I will attempt to pinpoint in what terms the two scholars-cum-translators’ agency contributed to foreign readers’ awareness of the cultural, social and political experience of the May Fourth Movement
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Comparative transcriptomics of 5 high-altitude vertebrates and their low-altitude relatives
Abstract Background: Species living at high altitude are subject to strong selective pressures due to inhospitable environments (e.g., hypoxia, low temperature, high solar radiation, and lack of biological production), making these species valuable models for comparative analyses of local adaptation. Studies that have examined high-altitude adaptation have identified a vast array of rapidly evolving genes that characterize the dramatic phenotypic changes in high-altitude animals. However, how high-altitude environment shapes gene expression programs remains largely unknown. Findings: We generated a total of 910 Gb of high-quality RNA-seq data for 180 samples derived from 6 tissues of 5 agriculturally important high-altitude vertebrates (Tibetan chicken, Tibetan pig, Tibetan sheep, Tibetan goat, and yak) and their cross-fertile relatives living in geographically neighboring low-altitude regions. Of these, ∼75% reads could be aligned to their respective reference genomes, and on average ∼60% of annotated protein coding genes in each organism showed FPKM expression values greater than 0.5. We observed a general concordance in topological relationships between the nucleotide alignments and gene expression–based trees. Tissue and species accounted for markedly more variance than altitude based on either the expression or the alternative splicing patterns. Cross-species clustering analyses showed a tissue-dominated pattern of gene expression and a species-dominated pattern for alternative splicing. We also identified numerous differentially expressed genes that could potentially be involved in phenotypic divergence shaped by high-altitude adaptation. Conclusions: These data serve as a valuable resource for examining the convergence and divergence of gene expression changes between species as they adapt or acclimatize to high-altitude environments
Comparison of heavy-ion transport simulations: Collision integral in a box
Simulations by transport codes are indispensable to extract valuable physical information from heavy-ion collisions. In order to understand the origins of discrepancies among different widely used transport codes, we compare 15 such codes under controlled conditions of a system confined to a box with periodic boundary, initialized with Fermi-Dirac distributions at saturation density and temperatures of either 0 or 5 MeV. In such calculations, one is able to check separately the different ingredients of a transport code. In this second publication of the code evaluation project, we only consider the two-body collision term; i.e., we perform cascade calculations. When the Pauli blocking is artificially suppressed, the collision rates are found to be consistent for most codes (to within 1 % or better) with analytical results, or completely controlled results of a basic cascade code. In orderto reach that goal, it was necessary to eliminate correlations within the same pair of colliding particles that can be present depending on the adopted collision prescription. In calculations with active Pauli blocking, the blocking probability was found to deviate from the expected reference values. The reason is found in substantial phase-space fluctuations and smearing tied to numerical algorithms and model assumptions in the representation of phase space. This results in the reduction of the blocking probability in most transport codes, so that the simulated system gradually evolves away from the Fermi-Dirac toward a Boltzmann distribution. Since the numerical fluctuations are weaker in the Boltzmann-Uehling-Uhlenbeck codes, the Fermi-Dirac statistics is maintained there for a longer time than in the quantum molecular dynamics codes. As a result of this investigation, we are able to make judgements about the most effective strategies in transport simulations for determining the collision probabilities and the Pauli blocking. Investigation in a similar vein of other ingredients in transport calculations, like the mean-field propagation or the production of nucleon resonances and mesons, will be discussed in the future publications
Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants
Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks
Rising rural body-mass index is the main driver of the global obesity epidemic in adults
Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.Peer reviewe
Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults
Background Underweight and obesity are associated with adverse health outcomes throughout the life course. We
estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from
1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories.
Methods We used data from 3663 population-based studies with 222 million participants that measured height and
weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate
trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children
and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the
individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For schoolaged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference)
and obesity (BMI >2 SD above the median).
Findings From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in
11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed
changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and
140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of
underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and
countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior
probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse
was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of
thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a
posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%)
with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and
obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for
both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such
as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged
children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls
in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and
42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents,
the increases in double burden were driven by increases in obesity, and decreases in double burden by declining
underweight or thinness.
Interpretation The combined burden of underweight and obesity has increased in most countries, driven by an
increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy
nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of
underweight while curbing and reversing the increase in obesit
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