Lunar New Research Articles

Exploring emission spatiotemporal pattern and potential reduction capacity in China's aviation sector: Flight trajectory optimization perspective

China's rapid expansion of civil aviation has led to an increase in pollution-related issues, causing adverse health effects on populations near airports and downwind. Accurately quantifying aviation emissions is essential for effective emission management. Here, we developed a high-resolution aviation emissions inventory for China by employing a bottom-up approach that relied on daily flight schedules. By using the Aeronautical Information Publication (AIP) to reproduce real-world flight routes rather than conventional great-circle routes, we improved the accuracy of emissions and investigated the potential for reducing these emissions. Our findings demonstrated substantial variations in domestic civil aviation emissions both spatially and temporally. Emissions peaked in most provinces during Chinese holidays, particularly the Chinese Lunar New Year and summer holidays, highlighting the importance of detailed activity data for accurate emissions calculations. Therefore, we recommend extensive utilization of real-world flight routes, particularly in areas with limited Automatic Dependent Surveillance-Broadcast (ADS-B) coverage since they provide more accurate representations of actual flight trajectories. Our study also identified regions like Shaanxi, Sichuan, Beijing, and their surroundings having considerable potential for emission reduction due to substantial deviations from great-circle routes. This approach can enhance the accuracy and spatiotemporal resolution of aviation emissions at national and global scales throughout the year, without relying on extensive, long-term real-time flight trajectories. Additionally, it provides a unique way to quantify the potential for emission reductions across provinces in civil aviation, ultimately contributing to mitigating pollution-related health impacts from aviation emissions and promoting a more sustainable aviation industry.

Vertical structure and transport characteristic of aerosol and O3 during the emergency control period in Wuhan, China, using vehicle-lidar observations

During the Lunar New Year of 2020, the Chinese government implemented a strict nationwide lockdown to prevent the spread of the COVID-19, which may have led to changes in the distribution of pollutants. To enhance our understanding of the three-dimensional evolution of pollutants under special control scenarios, this study used vehicle lidar to obtain vertical profiles of aerosols and ozone (O3) in Wuhan during the pandemic. Combined with ground observations and WRF-Chem model simulation results, we explored the evolution characteristics of pollutants. The results showed that the fine particulate matter (PM2.5) concentration near the ground in Wuhan City was significantly reduced (40%) during the emission control period. The aerosol concentration decreased rapidly with an increase in height, and the maximum loading height was consistent with the atmospheric boundary layer height. Conversely, due to factors such as the reduction of the precursor nitrogen dioxide (NO2) and rising temperatures, the near-ground O3 concentration increased by 59%. Despite the significant reduction in emission sources, lidar observations still captured distinct aerosol transport layers on March 7 and March 10, 2020. These transport layers gradually descended, affecting the ground-level aerosol concentration. Additionally, one typical process of O3 external transport was observed in the vertical direction. Our study provides a theoretical basis for a deeper understanding of the spatiotemporal distribution characteristics of pollutants during special control scenarios, aiding policymakers in formulating effective air pollution control strategies.

Time Preferences and Lunar New Year: An Experiment

Abstract We conduct an experiment to examine how the attitude toward time preference changed when there was a time-related occasion, specifically the Lunar New Year. We anticipated that individuals would be more patient as measured by a battery of questions after the New Year. However, we find that individuals only appear more patient when those questions pose the amount of time they have to wait in year increments rather than other units of time. More experimentation is necessary to identify the peculiarities of framing questions around this “New Years Effect.”

Monitoring Methane Concentrations with High Spatial Resolution over China by Using Random Forest Model

Atmospheric methane is one of the major greenhouse gases with a drastic impact on climate change. This study developed a random forest model to obtain a daily 5 km resolution atmospheric methane concentration dataset with full spatial coverage (100%) from 2019 to 2021 in mainland China, thereby filling the gap in the methane product data from the Tropospheric Monitoring Instrument (TROPOMI). The coefficients of determination for a sample-based and spatial-based cross-validation are 0.97 and 0.93, respectively. The average deviation of the seamless methane product reconstructed by the random forest model is less than 1%, validated with the measured methane concentration data from the Total Carbon Column Observing Network sites. Methane concentrations in China show a distribution of high in the east and south and low in the west and north. The high-concentration areas include Central China, the Sichuan Basin, the Pearl River Delta, and the Yangtze River Delta. In terms of time scale, the methane concentration has evident seasonal variation, as it is low in spring (average 1852 ppb) and winter (average 1881 ppb) and high in summer (average 1885 ppb) and autumn (average 1886 ppb). This is mainly due to the significant increase in emissions from rice cultivation and wetlands during the summer and autumn. During the COVID-19 pandemic, the methane concentration decreases significantly and then starts to return to normal around 70 days after the Lunar New Year, indicating that the seamless methane product can potentially detect anomalous changes in methane concentration.

Wastewater-based epidemiology to monitor 68 NPS/conventional drug use in Taipei metropolitan area in Taiwan during and after COVID-19 pandemic

Amidst far-reaching COVID-19 effects and social constraints, this study leveraged wastewater-based epidemiology to track 38 conventional drugs and 30 new psychoactive substances (NPS) in northern Taiwan. Analyzing daily samples from four Taipei wastewater plants between September 2021 and January 2024—encompassing club reopenings, holidays, Lunar New Year, an outbreak, and regular periods—thirty-one drugs were detected, including 5 NPS. Tramadol, zolpidem tartrate, CMA, and MDPV were newly detected in Taiwanese sewage with frequency of 1.4 %− 89.0 %. Conventional drug use typically increased post-pandemic, aside from benzodiazepines and methadone. Methamphetamine showed 100 % frequency, indicating ongoing daily consumption despite COVID-19 measures. Methamphetamine and morphine's consumption dipped then rose around club reopening, hinting at limited access. The consumption trend of methadone appeared to compensate for the use of morphine. Ketamine and NPS demonstrated similar patterns throughout the entire period. NPS as party drugs seemed influenced by an unstable supply chain and complexities in implementation. Benzodiazepines, commonly abused alongside synthetic cathinones in Taiwan exhibited an opposing trend to NPS while aligned with acetaminophen, suggesting elevated stress and anxiety levels during the pandemic. No significant differences were observed in drug consumption between weekdays and weekends, potentially indicating that COVID-19 measures blurred the traditional distinctions between these timeframes. Environmental ImplicationNew psychoactive substances refer to chemically modified variants of controlled drugs designed to mimic the effects of the original drugs while evading modern detection methods, categorizing them as hazardous materials. The study presents a sewage monitoring project conducted from 2021 to 2024, collecting samples from four WWTPs to analyze NPS and conventional drug trends during and after the COVID-19 pandemic. The findings uncovered connections between drug consumption patterns and pandemic-related policies. In light of the persistent drug abuse and their environmental presence, the results bear critical importance for both environmental and public health. We provide a thorough assessment of these relationships and prioritize areas for future research.

The Factors of Religious Architecture Influencing Students' Perception of Beauty and Art: Evidence from Hanoi, Vietnam

This study explores the impact of religious architecture on the aesthetic perceptions of elementary school students in Hanoi, Vietnam, focusing on students majoring in fine arts. Employing regression analysis, the research assesses the influence of six key dimensions: architectural design and details, cultural and historical context, spiritual symbolism, emotional impact, context and setting, and students' perceptions of beauty and art. Data were collected through a structured questionnaire developed from a thorough literature review and expert consultations and administered to a randomly selected sample during Vietnam's Lunar New Year in January 2024. The results revealed that each dimension significantly contributes to students' perceptions of beauty, with context and setting having the most pronounced effect. The reliability of the questionnaire was confirmed via Cronbach's alpha, indicating high internal consistency across all scales. The regression analysis validated the theoretical framework, establishing that religious buildings' architectural and contextual elements significantly shape students' aesthetic judgments. These findings underscore the importance of integrating architectural aesthetics into educational curricula, highlighting how environmental and cultural contexts influence educational outcomes in art and aesthetics. This research contributes to filling a significant gap in understanding the academic impact of cultural heritage, offering significant implications for educational practices and policies in culturally diverse settings.

“Lunar New Year” by A. Parkau: cultural memory

This article considers the Russian émigré literature in China in the aspect of implementing the principles of intercultural communication and interaction between the cultures of Russia and China. Scholars began to study it in the 1990s, and currently the work of many Russian writers from Harbin and Shanghai remains unexplored. Features of the interaction of national traditions are analyzed in the poem “Lunar New Year” (Chinese New Year) by the poet of the Russian diaspora — A. Parkau, published in the poetic book Unquenchable Fire. Her artistic world still is not in the focus of the scholars. The poem “Lunar New Year,” included in the Bitter Paths cycle, is the artistic description of the Chinese holiday. Its content is determined by Chinese culture, and its artistic form is determined by the Russian poetic tradition. The article traces the connections of the poem with Chinese culture and philosophy, on the one hand, and with the contexts of the Russian poetry of the 19th century, expressed in poetic meters, on the other. The authors of the article examine the compositional and semantic principles of organizing a book of poems and come to the conclusion that the analyzed poem is included simultaneously in several cycles — calendar, reflecting the life of nature, and social, expressing the existential ideas of emigrants, expressed with the motives of loneliness, and fear of death, among others.

Pollution characteristics and health risk assessment of fine particulate matter and its metal elements during Chinese New Year

The Chinese Lunar New Year is a significant festival in China that leads to indoor and outdoor air pollution with distinct characteristics compared to normal times. In this study, indoor and outdoor air samples were collected and analysed to investigate the indoor and outdoor pollution of PM2.5 and its metal elements during the Chinese New Year. The findings reveal that there is a notable positive correlation between indoor and outdoor PM2.5 concentrations during the Chinese New Year, with outdoor concentrations being higher on average. The levels of PM2.5 concentrations indoors and outdoors started to increase on Chinese New Year’s Eve and peaked after the early hours of the Chinese New Year. The total concentrations of six metal elements (Cd, Cr, Ni, Cu, Pb and Zn) in indoor and outdoor PM2.5 during the Chinese New Year in 2022 were 738.73 ± 134.93 mg/kg and 1124.38 ± 553.14 mg/kg, respectively. Principal component analysis suggests that the main sources of indoor metal elements were from outdoor combustion sources and human activities, while outdoor sources were fireworks displays and emissions from coal combustion. Based on the U.S. EPA risk assessment carried out, both indoor and outdoor PM2.5 metal elements could pose a carcinogenic risk to adults.

How did New York City Asians and Asian Americans get a Lunar New Year school holiday?

Abstract Asians and Asian Americans lobbied for more than two decades without avail to get official public school recognition of Lunar New Year. On Lunar New Year Day in 2011, the New York City Department of Education, suspecting fraudulent attendance reporting, raided Shuang Wen PS 184M, the first Chinese dual language school in NYC and in the U.S. The principal was reassigned to administrative duty pending investigations, and a gag order was put on the school to prohibit communicating with any outside organization or media. In response, Asian American communities coalesced around a redistricting effort and schooling issues to push for recognition of the cultural practices of Asians. Prompted by the interim principal of Shuang Wen, Asian-serving principals encouraged students to take the Lunar New Year Day off in 2012, a mass action which resulted in official recognition of Lunar New Year as a school holiday in the 2015–2016 school year.

A mix-methods concept testing study of short videos for the national anti-cigarette gift giving campaign in China

ObjectiveThe study aimed to evaluate the potential effect of creative concepts and scripts of different short videos for the “National Anti-Cigarette Gift Giving Campaign” during the Chinese Lunar New Year. MethodsThe concept testing study used a mix-method design combining quantitative survey and qualitative group discussion. Online focus group discussions (FGD) were conducted among general population in Beijing, the capital city, and Xining City, Qinghai Province in China in December 2021. A total of 192 participants were recruited and divided into 16 FGD groups by age, sex, smoking history, and socio-economic level. ResultsA total of five short videos were tested. Both quantitative and qualitative findings showed that the concepts and scripts of all the alternative short videos were easy to understand, but differences were observed in their potential to change participants’ behavioral intentions of cigarette gift-giving and culture appropriateness. “Gamified couple at home” was considered as the most suitable short video for wide dissemination during the Chinese Lunar New Year because of its innovative style and potential effectiveness in changing behavioral intentions. Although the short video themed “Gifting harm” showed a pronounced impact on personal motivation to not give cigarettes as gifts, it was not recommended due to the cultural inappropriateness. ConclusionFuture development of public service advertisements such as short videos targeting tobacco control is suggested to use evidence-based research to identify the most effective and appropriate concepts. Due consideration should be extended to the cultural appropriateness of communication content and its alignment with the relevant occasion.

Predicting next trading day closing price of ASEAN+6 stock indices using artificial neural networks: evidence from Lunar New Year effect

Predicting next trading day closing price of ASEAN+6 stock indices using artificial neural networks: evidence from Lunar New Year effect

Predicting next trading day closing price of ASEAN+6 stock indices using artificial neural networks: evidence from Lunar New Year effect

Predicting next trading day closing price of ASEAN+6 stock indices using artificial neural networks: evidence from Lunar New Year effect

A Study of Changes in College English Online Phrases Supported by Clustering Algorithm

Abstract The hyperlinks on the Sina Weibo platform are tracked by a web crawler so as to obtain the textual resources of university English online phrases on the platform. To process microblog text data, this paper proposes the use of multiple linguistic expressions of translation machines to enhance the text feature representation and apply it to clustering to enhance the clustering results. Based on commonly used algorithms such as K-means, DBSCAN, and hierarchical clustering, we analyze the clustering effect of each algorithm according to internal and external evaluation indexes and finally determine the clustering algorithms to be used for the change of university English network terms. Using the English network word “hand” as an example, this paper observes a fluctuating trend in the heat of this word from January to June 2023, with peaks in heat generation in January and February, respectively, and a peak heat of about 10,500 in February. In terms of spatial variation, the heat level of the English word “hand” is high in the east and south regions and low in the west and north regions, but in February, due to the return of the population to their hometowns for the Lunar New Year, the north region exceeds the east and south regions with a heat level of 11086.77.

Fireworks: A Potential Artificial Source for Imaging Near-Surface Structures

Abstract Seismic waves induced by incident acoustic waves from air disturbances can be used to image near-surface structures. In this article, we analyze seismic waveforms recorded by a dense array on the Xishancun landside in Li County, Sichuan Province, southwest China during the Lunar New Year’s Eve (27 January 2017). A total of eight event clusters have been identified as a result of firework explosions. For each cluster, which comprises dozens of individual events with high similarity, we manually pick arrival times of the first event recorded by the array and locate it with a grid-search method. We then rotate three-component waveforms of all events from the east, north, and vertical coordinate system to the local LQT coordinates (L, positive direction perpendicular to the landslide surface and pointing downwards; Q, positive direction is from the launch location of firework to the station along the landslide surface; T, perpendicular to the plane formed by the L and Q directions, and the selected positive direction of the T axis makes LQT form the left-hand coordinate system), and stack the LQT components for those events with cross-correlation values CC ≥ 0.8 with respect to the first event. Characteristics of the stacked LQT components are also examined. The particle motions at each station are retrograde ellipse in the frequency range of ∼5–50 Hz, suggesting air-coupled Rayleigh waves generated by the firework explosions. Spectrograms of the Rayleigh waves also show clear dispersions, which might be used to image near-surface velocity structures. Although we cannot directly extract the phase velocities due to the limitation of the seismic array, our study shows that the fireworks might provide a low-cost and easy-to-use seismic source for imaging near-surface structures.

Fireworks celebrations and air pollution: evidence from Chinese Lunar New Year

Fireworks are an integral part of celebrations in many cultures. However, their environmental consequences have raised concerns. Despite many studies addressing the issue, there is still a lack of strong causal inference. This study investigates the impact of firework displays during the Spring Festival holiday on air pollution levels, using data from 335 Chinese cities from 2015 to 2017. A regression discontinuity design is employed to isolate this causal effect. Results indicate that fireworks substantially deteriorate air quality. Specifically, fireworks increase the Air Quality Index by 57%, fine particulate matter (PM2.5) by 89%, inhalable particulate matter (PM10) by 44%, and sulfur dioxide (SO2) by 69%. These impacts remain robust across varying model specifications. Policy interventions such as firework bans have been demonstrated to successfully reduce pollution from this source. However, when formulating environmental policies, policymakers ought to consider cultural factors and strive for balance between environmental protection and preserving cultural traditions.

유네스코 인류무형유산 줄다리기 비교 연구

In this study, the historical background, meaning, performance process, and characteristics of the three kingdoms tug-of-war developed in rice farming were compared by exploring tug-of-war in Cambodia, the Philippines, and Vietnam. First, Cambodia, the Philippines, and Vietnam have valued rice farming since BC, and each of the three countries has been steadily passing down tug-of-war based on different historical backgrounds and meanings. Second, all three countries valued rice farming, so they performed tug-of-war after the Lunar New Year and Lunar New Year, or divided the village into two, and all the villagers participated in their own line to pray for a good harvest. Third, although the country and culture are different, there is a common long-standing tradition of tug-of-war in regions that value rice farming.

Ecological Momentary Assessment and Machine Learning for Predicting Suicidal Ideation Among Sexual and Gender Minority Individuals

Suicidality poses a serious global health concern, particularly in the sexual and gender minority population. While various studies have focused on investigating chronic stressors, the precise prediction effect of daily experiences on suicide ideation remains uncertain. To test the extent to which mood fluctuations and contextual stressful events experienced by sexual and gender minority individuals may predict later short- and long-term suicide ideation. This diagnostic study collected twice-daily data on mood states and stressful events from sexual and gender minority individuals over 25 days throughout 3 waves of the Chinese Lunar New Year (before, during, and after), and follow-up surveys assessing suicidal ideation were conducted 1, 3, and 8 months later. Online recruitment advertisements were used to recruit young adults throughout China. Eligible participants were self-identified as sexual and gender minority individuals aged 18 to 29 years. Those who were diagnosed with psychotic disorders (eg, schizophrenia spectrum or schizotypal disorder) or prevented from objective factors (ie, not having a phone or having an irregular sleep rhythm) were excluded. Data were collected from January to October 2022. To predict short-term (1 month) and longer-term (3 and 8 months) suicidal ideation, the study tested several approaches by using machine learning including chronic stress baseline data (baseline approach), dynamic patterns of mood states and stressful events (ecological momentary assessment [EMA] approach), and a combination of baseline data and dynamic patterns (EMA plus baseline approach). A total of 103 sexual and gender minority individuals participated in the study (mean [SD] age, 24.2 [2.5] years; 72 [70%] female). Of these, 19 (18.4%; 95% CI, 10.9%-25.9%), 25 (24.8%; 95% CI, 16.4%-33.2%), 30 (29.4%; 95% CI, 20.6%-38.2%), and 32 (31.1%; 95% CI, 22.2%-40.0%) reported suicidal ideation at baseline, 1, 3, and 8 months follow-up, respectively. The EMA approach showed better performance than the baseline and baseline plus EMA approaches at 1-month follow-up (area under the receiver operating characteristic curve [AUC], 0.80; 95% CI, 0.78-0.81) and slightly better performance on the prediction of suicidal ideation at 3 and 8 months' follow-up. In addition, the best approach predicting suicidal ideation was obtained during Lunar New Year period at 1-month follow-up, which had a mean AUC of 0.77 (95% CI, 0.74-0.79) and better performance at 3 and 8 months' follow-up (AUC, 0.74; 95% CI, 0.72-0.76 and AUC, 0.72; 95% CI, 0.69-0.74, respectively). The findings in this study emphasize the importance of contextual risk factors experienced by sexual and gender minority individuals at different stages. The use of machine learning may facilitate the identification of individuals who are at risk and aid in the development of personalized process-based early prevention programs to mitigate future suicide risk.

The impact of the COVID-19 pandemic on nasopharyngeal carcinoma patients – a national cancer centre experience

Purpose or objectiveThe COVID-19 pandemic has resulted in significant healthcare implications, with care for cancer patients compromised due to resource diversion towards battling the pandemic. We aim to investigate the impact of the peak wave of the pandemic in 2020 on the delivery of cancer care in Singapore, specifically via our nasopharyngeal carcinoma (NPC) treatment data. This study applies real world numbers to the impact of COVID-19 on cancer care delivery in Singapore. The choice of nasopharyngeal cancer allows a good direct estimate of common treatment measures such as time to biopsy, time to staging scans, time to treatment commencement, due to its clear protocol and algorithms for staging and treatment; thus serving as an excellent surrogate for the effectiveness and timeliness of the different aspects of cancer care delivery.Materials and methodsIn this retrospective study, we included all patients with newly diagnosed NPC from 1st January to 31st May from 2017 to 2020 at our centre. This time period was chosen as it coincided with the period in 2020 during the COVID-19 pandemic where there was the most strain on healthcare resources and the most restrictions on population movement within Singapore, which may impact on healthcare seeking behaviour. Narrowing down the time period to the first 5 months of the 4 respective years also allowed us to reduce the effect of annual seasonal variation in patient numbers seen as a result of holidays and festive periods such as the Lunar New Year and scheduled school holidays. Electronic medical records (EMR) were accessed. Only newly diagnosed NPC cases were included in our analysis. Patients with second synchronous primary malignancies or NPC disease recurrence were excluded. Data analysis was carried out using a combination of SPSS and Microsoft Excel.ResultsSignificantly, there was a reduction of 37–46.3% in newly diagnosed NPC cases during the peak of the COVID-19 pandemic from January to end May 2020 compared to the preceding three years. Despite the reduction in numbers of newly diagnosed NPC, there was no statistically significant differences in delay from biopsy to the first radiation oncology visit and from biopsy to the first day of treatment in 2020 compared to the preceding years. All the patients treated in our centre also received the standard NPC treatment for their disease stage as per international guidelines.ConclusionWe recommend a heightened awareness of the dangers of delaying cancer presentation and care in healthcare policies and resource allocation and at the same time, encourage patient’s confidence in their ability to seek care. With the resurgence of new COVID-19 variants and case numbers worldwide and in Singapore, this study focuses upon the need to be aware of the exigencies of other clinical groups in resource utilization. It would be instructive to compare this study with future long term follow up to investigate the trajectory of our cancer care delivery, as well as survival outcomes.

A Semantic Analysis of Blends in Promotional Advertisements During the 2021 Chinese New Year in Malaysia

This paper presents the word-formation of blending in promotional advertisements, specifically for Chinese New Year celebrations in Malaysia. Blending is a process that combines two or three parts of source words (SWs) which either one has shortened infuse and/or where there is a phonological or graphic overlap of source words (e.g., moo-tastic  moo + fantastic, and Ox-picious  Ox + auspicious). These kinds of words describe a new invention or phenomenon that combines the definitions of the attribute of the two existing things. This study, which applied qualitative methods, examines the meaning of blends and the blending creativity in coining new words in promotional advertisements during the 2021 Chinese New Year or Lunar New Year which is also the Year of Golden Ox. In other words, the Lunar New Year which falls on February 12 in 2021 says hello to the Year of the Golden Ox and bids farewell to the Year of the Golden Rat in the previous year. Hence, this paper analyses 70 blends from promotional ads to measure the semantic, phonological, graphemic, and/or formal motivation of blending and investigate the meaning of blends. Researchers conclude the distinguishing features of blends in promotional ads overlap full words and wordplay, examining the graphological, phonological, stylistic, and semantic motivations. This study highlights that a set of words are chosen as the theme to coin new words each year, especially during the festival season (e.g., ox, moo). Blends are believed to effectively spread a message and attract attention to an idea or a product.

The Witch and the Empress: Women in Motion in Kepler’s and Cavendish’s Fiction of Lunar New Worlds

The Witch and the Empress: Women in Motion in Kepler’s and Cavendish’s Fiction of Lunar New Worlds