Peak Period Research Articles

“Kuteteza”: A community-engaged COVID-19 Prevention and Protection Initiative in Southern Malawi

Background The COVID-19 epidemic in Malawi involved almost 90,000 recorded cases and 2,638 deaths. Data suggest that the Malawi epidemic developed largely in urban settings, but the extent of rural spread – exposing older adults in particular – is unclear. This concern led us, to develop the ‘Kuteteza’ partnership project: a community-based Public Health intervention involving the shielding of older adults and additional strategies to mitigate COVID-19 impacts in rural Malawi. We now present the results of a realist project evaluation. Methods Clinicians, Public Health professionals, and researchers collaborated with government and district level staff in two Malawi districts. After engagement with local structures, willing older adults (>60 years) and their communities made arrangements for supported 'shielding'. Masks, handwashing stations, and soap were also provided, and government partnerships allowed additional support for vulnerable groups. Finally, context-responsive community engagement reinforced COVID-19 prevention during peak risk periods. Our realist evaluation included collation of anonymised descriptive data and qualitative structured observations and focus groups – involving community members and volunteers – in each setting. Results The project involved 25 villages. Multi-level stakeholder engagement was pivotal in developing and establishing the work, and strong District Health Office support was integral to implementation. Team members contributed to national meetings, aligning the project with national guidance and stakeholder actions. Established partnerships with relevant ministries resulted in the incorporation of shielding in the Malawi COVID-19 response plan. In Kuteteza villages, handwashing stations and soap were used, and there was awareness of COVID-19 prevention measures. Further experiences and evaluation results are presented, including learning points for future outbreak responses. Conclusions Through effective stakeholder engagement and contribution to national response strategy, the Kuteteza project raised awareness and supported populations at a critical time in the pandemic. These approaches can be incorporated in future epidemic and emergency responses.

Research on epidemiological characteristics of pneumonia and correlative factors of length of hospitalization in the elderly aged 60 years and older in Ningbo

Objective: To investigate the epidemiological characteristics of pneumonia and the related factors of the length of hospitalization of pneumonia in the elderly aged 60 years and older in Ningbo in 2019. Methods: Data on hospitalized cases of pneumonia in the elderly aged 60 years and older in Ningbo in 2019 were collected through the regional health information platform, and the population data of Ningbo in 2019 were obtained through the Zhejiang Provincial Bureau of Statistics. A descriptive epidemiological analysis was conducted on hospitalized cases of pneumonia in the elderly population, and factors related to the length of hospitalization were explored. Results: A total of 15 956 hospitalized cases of pneumonia aged 60 years and older were reported in Ningbo in 2019, and the incidence of pneumonia requiring hospitalization was 1.02% (15 956/1 571 431). The incidence was 1.13% (8 613/760 357) in males and 0.83% (6 759/811 074) in females, and the ratio of male to female cases was 1.27∶1. The highest incidence was found in the ≥80 age group (2.52%), and the lowest incidence was found in the 60-69 age group (0.58%). March, February, and January were the peak period of pneumonia hospitalization. The main types of pneumonia diagnosed were not specified (65.12%), followed by bacterial pneumonia (34.60%). The M(Q1, Q3) of hospitalized patients with pneumonia was 9 (7, 13) days. The results of multivariate logistic regression analysis showed that gender (female: OR=0.911, 95%CI: 0.849-0.978) and older age (70-79 years old: OR=1.211, 95%CI: 1.111-1.321; ≥80 years old group: OR=1.486, 95%CI: 1.365-1.617), settlement method (self-payment: OR=0.567, 95%CI: 0.464-0.691), higher level of hospitals (Grade Ⅱ: OR=1.902,95%CI:1.723-2.100; Grade Ⅲ: OR=1.546,95%CI:1.407-1.698) were associated with the length of hospitalization for pneumonia in people aged 60 years and older in Ningbo. Conclusions: Hospitalization with pneumonia in people aged 60 years and older was high in winter and spring, men and older adults were in high-risk groups in Ningbo in 2019. Gender, age, billing method, and level of hospitals may be related factors to the length of hospitalization for pneumonia.

A new distribution and host record for the rare moth, Callioratis millari (Lepidoptera: Geometridae), and some ecological observations.

Callioratis millari Hampson (Lepidoptera: Geometridae) is a Critically Endangered moth endemic to South Africa. Despite extensive searches, it was previously known only from the Entumeni Nature Reserve in KwaZulu-Natal, where its larvae exclusively feed on the cycad Stangeria eriopus (Kunze) Baill (Cycadales: Stangeriaceae). In July 2022, a new population of C. millari was discovered in the Kabouga section of Addo Elephant National Park in the Eastern Cape. Larvae of C. millari were feeding on the cycad Encephalartos caffer (Thunb.) Lehm (Cycadales: Zamiaceae), which also constitutes a new host record. In June 2023, we determined larval incidence and herbivory at this new locality, offering insights into the ecological requirements of C. millari. Known C. millari localities, although ecologically different, share low altitudes (700-950 m a.s.l.), moderate to high rainfall, and grassy habitats with sparse woody cover. A total of 59 larvae were counted in Kabouga, mostly in the fifth and sixth (final) instars. Herbivory incidence was lower on smaller plants and those covered by other vegetation. The flight period of adult C. millari likely occurs between mid-March and April in Kabouga, but further investigation is needed to clarify this. The peak period of larval occurrence in Kabouga occurs during the driest and coldest months of the year (May-July). Considering limited habitat availability, host plant poaching, and the risk of untimely fires, the species should be considered highly threatened. This study adds to our understanding of the biology of C. millari and provides information on its ecological requirements and may contribute to making informed management decisions.

Did the COVID-19 pandemic have an effect on oral cancer staging? A single-centre retrospective observational study.

Introduction This study aims to assess if the COVID-19 pandemic impacted upon oral cancer staging in a single centre in the UK.Materials and methods Data were collected from the head and neck cancer database of a teaching hospital in London. Oral cancer diagnosis and staging in the peak period of the pandemic (March 2020-2021) were assessed against the one-year period (March 2019-2020) before the pandemic.Results In total, 25 cases of oral cancer were diagnosed in the pre-COVID-19 group compared to 26 in the COVID-19 cohort. Referrals from dentists accounted for 30% of cases of confirmed oral cancer in the COVID-19 class in comparison to 48% the year prior. Higher rates of overall TNM (tumour, lymph node, metastasis) staging at level 4a and above were observed in the COVID-19 cohort at 68% in comparison to 48% the year before.Conclusion Marginal non-statistically significant differences were noted of worsening stages of oral cancer presentations in the first year of the COVID-19 pandemic in this unit. Long-term studies on the outcomes of those diagnosed with oral cancer during the pandemic at a regional and national level will facilitate greater analysis on the impact the pandemic had on this cohort.

Technical, Economic, and Environmental Investigation of Pumped Hydroelectric Energy Storage Integrated with Photovoltaic Systems in Jordan

In this study, the technical and economic feasibility of employing pumped hydroelectric energy storage (PHES) systems at potential locations in Jordan is investigated. In each location, a 1 MWp off-grid photovoltaic (PV) system was installed near the dam reservoir to drive pumps that transfer water up to an upper reservoir at a certain distance and elevation. PVsyst (Version 7.3.4) is implemented to simulate the water flow rate pumped to the upper reservoir at each location. The water in the upper reservoir is presumed to flow back into the dam reservoir through a turbine during peak hours at night to power a 1 MW load. Based on the water volume in the upper reservoir, the power generated through the turbine was estimated using HOMER Pro® (Version 3.15.3), and the power exported to the grid (when the power generated from the turbine is more than the power required by the driven load) was also determined. It is worth mentioning that scaling up the size of PV and hydropower systems is a straightforward approach considering the modular nature of such systems. However, the quantity of water in the dam reservoir that is allowed to be pumped is the main determinant for the size of a PHES system. The technical and economic results show that the potential of employing these locations to implement PHES systems is great. In addition, a study was conducted to estimate how much CO2 emissions were reduced by generating renewable energy compared to generating the same amount of energy from fossil fuels. These systems increase renewable energy in the energy mix in Jordan, stabilize the grid, and balance the loads, especially during peak periods. More importantly, PHES systems contribute to making the energy sector in Jordan more sustainable.

Phylogeographical and population genetics of Polyspora sweet in China provides insights into its phylogenetic evolution and subtropical dispersal

BackgroundGeological movements and climatic fluctuations stand as pivotal catalysts driving speciation and phylogenetic evolution. The genus Polyspora Sweet (Theaceae), prominently found across the Malay Archipelagos and Indochina Peninsula in tropical Asia, exhibits its northernmost distribution in China. In this study, we investigated the evolutionary and biogeographical history of the genus Polyspora in China, shedding light on the mechanisms by which these species respond to ancient geological and climatic fluctuations.MethodsPhylogenetic relationships of 32 representative species of Theaceae were reconstructed based on the chloroplast genome and ribosome 18-26 S rRNA datasets. Species divergence time was estimated using molecular clock and five fossil calibration. The phylogeography and population genetics in 379 individuals from 32 populations of eight species were analyzed using chloroplast gene sequences (trnH-psbA, rpoB-trnC and petN-psbM), revealing the glacial refugia of each species, and exploring the causes of the phylogeographic patterns.ResultsWe found that Chinese Polyspora species diverged in the middle Miocene, showing a tropical-subtropical divergence order. A total of 52 haplotypes were identified by the combined chloroplast sequences. Chinese Polyspora exhibited a distinct phylogeographical structure, which could be divided into two clades and eight genealogical subdivisions. The divergence between the two clades occurred approximately 20.67 Ma. Analysis of molecular variance revealed that the genetic variation mainly occurred between species (77.91%). At the species level, Polyspora axillaris consists of three lineages, while P. speciosa had two lineages. The major lineages of Chinese Polyspora diverged between 12 and 15 Ma during the middle to late Miocene. The peak period of haplotype differentiation in each species occurred around the transition from the last interglacial to the last glacial period, approximately 6 Ma ago.ConclusionThe primary geographical distribution pattern of Chinese Polyspora was established prior to the last glacial maximum, and the population historical dynamics were relatively stable. The geological and climatic turbulence during the Quaternary glacial period had minimal impact on the distribution pattern of the genus. The genus coped with Quaternary climate turbulence by glacial in situ survival in multiple refuges. The Sino-Vietnam border and Nanling corridor might be the genetic mixing center of Polyspora.

Predicting Station-Level Peak Hour Ridership of Metro Considering the Peak Deviation Coefficient

Subway station-level peak hour ridership (SPR) is a crucial input parameter for multiple applications, including the planning, design, construction, and operation of stations. However, traditional SPR estimation techniques may produce biased results. A unified peak hour factor (PHF) extracted from the line level is generally set for all attributed stations, which ignores the possible peak deviation that arises between the station and line and the wide variation of PHFs in practice. This study presents a comprehensive and refined estimation framework for SPR that accommodates the peak deviation context by introducing the peak deviation coefficient (PDC). Moreover, the estimation of the PDC and PHF variability is improved by constructing spatial regression based relationship models. The empirical results show that the proposed approach exhibits wider applicability and a higher prediction precision across all types of peak periods considered as compared to conventional methods (i.e., MAPE decreases of 0.115–0.351). The findings demonstrate the importance of the consideration of the peak deviation scenario and the spatial dependency in SPR estimation to achieve better decision making. Moreover, the underlying influencing mechanism of the PHF and PDC at distinct peak periods is further revealed using the spatial model. This provides critical theoretical references and policy implications to prudently deploy land-use resources to balance the travel demand between peak and off-peak periods and thus enhance the line operation efficiency.

Hospital capacities and response to COVID-19 pandemic surges in Iran: A quantitative model-based study.

The coronavirus 2019 (COVID-19) pandemic resulted in serious limitations for healthcare systems, and this study aimed to investigate the impact of COVID-19 surges on in-patient care capacities in Iran employing the Adaptt tool. Using a cross-sectional study design, our study was carried out in the year 2022 using 1-year epidemiologic (polymerase chain reaction-positive COVID-19 cases) and hospital capacity (beds and human resource) data from the official declaration of the pandemic in Iran in February 2020. We populated several scenarios, and in each scenario, a proportion of hospital capacity is assumed to be allocated to the COVID-19 patients. In most of the scenarios, no significant shortage was found in terms of bed and human resources. However, considering the need for treatment of non- COVID-19 cases, in one of the scenarios, it can be observed that during the peak period, the number of required and available specialists is exactly equal, which was a challenge during surge periods and resulted in extra hours of working and workforce burnout in hospitals. The shortage of intensive care unit beds and doctors specializing in internal medicine, infectious diseases, and anesthesiology also requires more attention for planning during the peak days of COVID-19.

Impact of the SARS-CoV-2 epidemic on the immigrant population by urbanisation degree in five Italian Regions (Piedmont, Emilia-Romagna, Tuscany, Lazio, and Sicily)

according to the literature, socially disadvantaged strata of the population, including immigrants, have been more vulnerable to the risk of SARS-CoV-2 infection due to greater exposure and less opportunity to protect themselves, and to COVID-19 complications due to metabolic and clinical risk factors as well as to healthcare access barriers. Two Italian projects - coordinated by the Italian National Institute for Health, Migration and Poverty and the Italian National Centre for Disease Prevention and Control - set up an epidemiological surveillance to monitor the temporal trends of the SARS-CoV-2 pandemic in five Italian regions using validated indicators. to identify differences between Italians and immigrants in terms of the epidemic evolution and its health consequences, and to investigate possible differences by urbanisation degree and region of residence. cross sectional study. resident population in five Italian regions: Piedmont, Emilia-Romagna, Tuscany, Lazio, and Sicily. frequencies of positive tests, routine hospitalisations, and deaths related to COVID-19 were collected, with respect to the period between 22.02.2020 and 31.01.2021. Data were aggregated by week, region, degree of urbanisation, gender, age (5-year classes), and citizenship (Italian/foreigner). Crude and standardised rates of the outcomes considered were calculated, stratified by gender, citizenship, region, and aggregated by pandemic macro-period. the study population counts approximately about 23 million residents as of 01.01.2020 (9.4% immigrants). During the period of interest, 1,542,458 cases of infection were recorded, whereas hospitalisations amounted to 175,979, and deaths to 44,867. Lower crude rates of hospitalisations and deaths were observed among immigrants compared to Italians. The age-standardised hospitalisation rates, on the other hand, showed an opposite trend and were significantly higher among immigrants, due to the excess observed in urban areas, especially in periods of epidemic peak, both for males (weekly mean standardised rate: 34.6 per 1,000 of foreign residents vs 24.3 of Italians over the period October 2020-January 2021) and females (23.2 vs 15.1 over the period February-April 2021). These differences seem to be more pronounced in the central regions and tend to disappear for residents in scarcely populated areas. Standardised mortality rates were higher among immigrants, both men and women, from October 2020 and more markedly in February-April 2021 among men. the impact of COVID-19 was stronger among immigrants in relation to hospitalisation, especially during epidemic peak periods and in some regions. The difference in the impact on mortality was smaller. There is some heterogeneity among regions and urban areas that is worth considering in the planning of interventions and integration policies.

Seasonal prevalence of the invasive rusty-spotted longhorn beetle, Apriona swainsoni (Coleoptera: Cerambycidae), adults in Fukushima Prefecture, Japan

AbstractInvasive longhorn beetles are serious pests of tree stands worldwide. The rusty-spotted longhorn beetle, Apriona swainsoni (Hope) (Coleoptera: Cerambycidae: Lamiinae), is native to continental Asia, where it is a significant pest of legume trees. Its invasion into non-native ranges and damage to the local legume tree, Maackia amurensis, were first reported from Fukushima Prefecture, Japan, in 2021. This study investigated the biology of A. swainsoni in relation to adult emergence in Japan. Preliminary observations confirmed that A. swainsoni larvae create planned emergence holes on the host surface in late May. By exploiting these planned emergence holes, the adult emergence period was investigated in a field promenade of M. amurensis during the summer of 2022 and 2023. The researchers plugged the holes and recorded plug removal, resulting in the observation of 60 and 227 putative emergence events in respective years, with the majority occurring in early to mid-July. Further, during the summer of 2022, a periodic field survey of adult emergence was conducted, obtaining eight adults. Furthermore, a supplementary survey using infested logs maintained in a field cage demonstrated that the emergence period does not differ between sexes and the male-to-female ratio is one:one. Our results suggest that control efforts to suppress A. swainsoni adults in the field, such as insecticide spraying, should be prioritized in the relatively short, peak emergence period. This work indicates that the plug survey is useful for detecting the emergence period.

A real-time energy flow management of a grid-connected renewable energy sources-based EV charging station

ABSTRACT As the sales of electric vehicles (EVs) increase in India, there will be an increase in the number of charging stations in the future. Meanwhile, the demand for extra power from the grid and intermittent power from renewable energy presents significant challenges for charging infrastructure. This paper presents a real-time energy flow management strategy (EFMS) designed for an EV charging station (EVCS) that utilises power from renewable energy sources (RES), an energy storage battery unit (ESBU), and the grid. The primary objective is to increase the utilisation of renewable energy and minimise the quantity of electricity bought during the peak period of the grid by implementing direct electric vehicle load control. EVCS has been designed to charge up to 80 EVs using five DC chargers. The EFMS aims to enhance the scheduling of EV charging by considering grid time-of-use (ToU) pricing and efficient usage of ESBU in terms of battery degradation effect and maximising the use of RES. A multi-objective optimisation algorithm has been developed for EV scheduling. The baseline uncoordinated charge method is contrasted with the proposed approach. The EFMS effectiveness is tested in MATLAB, and the subsequent analysis and results are drawn and discussed.

Custodiol Histidine-Tryptophan-ketoglutarate Versus Blood Cardioplegia in Totally Thoracoscopic Cardiac Surgery

Objective: The present study aimed to evaluate and compare the myocardial protection performance between Custodial histidine-tryptophan-ketoglutarate cardioplegic solution and blood cardioplegic solution in the context of totally thoracoscopic cardiac surgery. Methods: A total of 101 patients who underwent thoracoscopic cardiac surgery adopting either blood cardioplegic or histidine-tryptophan-ketoglutarate solution at Guangdong Provincial People’s Hospital from January 2021 to December 2021 were retrospectively enrolled. Postoperative outcomes assessed by myocardial enzyme level, the capacity of return to spontaneous rhythm, left ventricle ejection fraction, myocardial infarction, vasoactive-inotropic score, mechanical ventilation time, intensive care unit stay, hospital stay, mechanical circulatory support, and in-hospital mortality were compared between the two groups. Results: 69 and 32 patients adopted blood cardioplegic and histidine-tryptophan-ketoglutarate solutions, respectively. The cardiac troponin I and creatine kinase-MB at the peak period or at the postoperative period of <24h, 24-48h, and >48h were similar between the two groups (p>0.05). There was also no significance regarding the postoperative left ventricle ejection fraction, vasoactive-inotropic score, and incidence of myocardial infarction (p>0.05). However, blood cardioplegic solution administration resulted in a significantly more occurrence of return to spontaneous rhythm in contrast to the histidine-tryptophan-ketoglutarate solution (p=0.025). Multivariate logistic regression for outcomes revealed that histidine-tryptophan-ketoglutarate administration was associated with a lower possibility to return to spontaneous rhythm (odds ratio (OR)=0.238; confidence interval CI=0.072-0.783; p=0.018]. Additionally, increased aortic cross-clamp time per 10 mins was associated with a higher risk of myocardial infarction (OR=1.499; CI=1.161-1.934; p=0.002) while increased total volume was associated with a lower risk of myocardial infarction (OR=0.997; CI=0.994-0.999; p=0.029) Conclusion: Delivery of histidine-tryptophan-ketoglutarate solution offered equivalent myocardial protection to the delivery of blood cardioplegic solution in patients undergoing totally thoracoscopic cardiac surgery. In this setting, the histidine-tryptophan-ketoglutarate seems to be associated with decreased incidence of postoperative return to spontaneous rhythm.

An investigation of the effects of meteorological factors on the incidence of tuberculosis

To explore the influence of meteorological factors on the incidence of tuberculosis (TB) in Yingjisha County, Kashgar Region, Xinjiang, and to provide a scientific basis for the prevention and control of TB. The Spearman correlation analysis and distribution lag nonlinear model analysis were conducted on the number of daily reported cases of TB from 2016 to 2023 to study the association effect of various meteorological factors and the daily incidence number of TB in Yingjisha County. A total of 13,288 TB cases were reported from January 2016 to June 2023, and June to October is the peak period of annual TB incidence. Spearman correlation analysis revealed that average daily temperature (AT) and average daily wind speed (WS) were positively correlated with TB incidence (rAT = 0.110, rWS = 0.090); and average daily relative humidity (RH) and TB incidence was negatively correlated (rRH = − 0.093). When AT was − 15 °C, the RR reached a maximum of 2.20 (95% CI: 0.77–6.29) at a lag of 21 days. When RH was 92%, the RR reached a maximum of 1.05 (95% CI: 0.92–1.19) at a lag of 6 days. When WS was 5.2 m/s, the RR reached a maximum of 1.30 (95% CI: 0.78–2.16) at a lag of 16 days. There is a non-linearity and a certain lag between meteorological factors and the occurrence and prevalence of TB in the population, which is mainly manifested in the fact that the risk of incidence of TB decreases with the increase of the daily AT, has a hazardous effect within a certain range of humidity as the average daily RH rises, and gradually increases with the increase of the average daily WS. Local residents are advised to pay attention to climate change so as to take appropriate preventive measures, especially women and middle and old age group should pay close attention to climate change and add more clothes in time, minimise travelling in hazy weather and windy and sandy weather, maintain good nutrition, adequate sleep and moderate exercise in daily life to enhance their immunity, wash hands frequently and ventilate the air, and try to avoid staying in humid and confined spaces in order to reduce the risk of latent TB patients developing the disease.

The cases of tracing the source of patients infected with Omicron variant of SARS-CoV-2 based on wastewater-based epidemiology in Shenzhen

Wastewater-based epidemiology (WBE) is an emerging discipline, which has been applied to drug abuse tracking and infectious disease pathogen surveillance. During the COVID-19 epidemic, WBE has been applied to monitor the epidemic trend and SARS-CoV-2 variants etc. In order to detect hidden COVID-19 cases and prevent transmission in the community, wastewater surveillance system for monitoring SARS-CoV-2 RNA was developed in Shenzhen. The sewage sampling sites were set up in key places such as the port areas, urban villages and residential communities of Futian, Nanshan, Luohu and Yantian districts. From July 26 to November 30, 2022, a total of 369 sewage sampling sites were set up, covering 1.93 million people. Continuous sampling was carried out for 3 hours in the peak period of water use every day. Sewage virus enrichment and SARS-CoV-2 nucleic acid detection were carried out by polyethylene glycol precipitation method and RT-qPCR, and a positive water sample disposal process was molded. This article aims to introduce the case of source tracing of COVID-19 infected patients based on urban sewage in Shenzhen. The sewage monitoring of Honghu water treatment plant in Luohu District played an early warning role, and the source of infection was traced. In the disposal of positive water samples in Futian South Road, Futian District, the important experience of monitoring point layout was obtained. In the sewage monitoring of Nanshan village, Nanshan District, the existence of occult infection was revealed. Sharing the experience of tracing the source of COVID-19 patients to avoid the spread of COVID-19 in the community based on wastewater surveillance of SARS-CoV-2 RNA in Shenzhen, and summarizing the advantages and application prospects of sewage surveillance can provide new ideas for monitoring emerging or re-emerging pathogens that are known to exhibit gastrointestinal excretion in the future.

Distributed scheduling for multi-energy synergy system considering renewable energy generations and plug-in electric vehicles: A level-based coupled optimization method

Multi-energy synergy systems integrating high-penetration large-scale plug-in electric vehicles, distributed renewable energy generations, and battery energy storage systems have great potential to reduce the reliance of the grid on traditional fossil fuels. However, the random charging characteristics of plug-in electric vehicles and the uncertainty of photovoltaics may impose an additional burden on the grid and affect the supply–demand equilibrium. To address this issue, judicious scheduling optimization offers an effective solution. In this study, considering charge and discharge management of plug-in electric vehicles and intermittent photovoltaics, a novel Multi-energy synergy systems scheduling framework is developed for solving grid instability and unreliability issues. This formulates a large-scale mixed-integer problem, which calls for a powerful and effective optimizer. The new binary level-based learning optimization algorithm is proposed to address nonlinear large-scale high-coupling unit commitment problems. To investigate the feasibility of the proposed scheme, numerical experiments have been carried out considering multiple scales of unit numbers and various scenarios. Finally, the results confirm that the proposed scheduling framework is reasonable and effective in solving unit commitment problems, can achieve 3.3% cost reduction and demonstrates superior performance in handling large-scale energy optimization problems. The integration of plug-in electric vehicles, distributed renewable energy generations, and battery energy storage systems is verified to reduce the output power of 192.72 MW units during peak periods to improve grid stability. Therefore, optimizing energy utilization and distribution will become an indispensable part of future power systems.

The Impact of the COVID-19 Pandemic on Adherence to Endocrine Therapy for Breast Cancer in Catalonia (Spain).

Purpose. To assess the impact of the COVID-19 pandemic on adherence to oral endocrine therapy in patients diagnosed with breast cancer in the public healthcare system in Catalonia (Spain). Methods. Retrospective cohort study in patients starting endocrine therapy from 2017 to 2021. Adherence was measured during the first year of treatment, and the impact of the pandemic was calculated according to the calendar year and whether the first year of treatment included the peak period of the pandemic in our setting (March-September 2020). Analyses were performed using a chi-square test and multivariable logistic regression, with results stratified by year, age group, and drug type. Results. Mean overall adherence during the first year of treatment was 89.6% from 2017 to 2021. In contrast, the patients who started treatment in 2019 and 2020 and whose treatment included the peak pandemic period presented an adherence of 87.0% and 86.5%, respectively. Young age and tamoxifen or combination therapy were predictors of low adherence. An increase in neoadjuvant therapy was also observed in 2020. Conclusions. The COVID-19 pandemic had only a modest impact on adherence to endocrine therapy (≈3%), despite the enormous disruptions for patients, the healthcare system in general, and cancer care in particular that were occurring in that period.

Spatio-temporal variation of noise pollution in South Paris during and outside the COVID-19 lockdowns

Noise pollution is one of the major environmental problems of contemporary societies. In urban areas, road transport is the main source impacting the spatio-temporal variation of air quality. This work aims to analyse the spatio-temporal variability of the noise level in the 13th arrondissement during peak hours, focusing on the comparison of noise levels between the COVID-19 lockdown and non-lockdown days. This paper provides data that could be used to evaluate noise mitigation options. Mobile surveys, using EXTECH 4017764 sensors, were used to cover 272 points. In this work, the mobile measurements use the median of instant noise levels measured every 5 s over a 5-min period during the peak period. This study confirms that road traffic appears to be the determining factor in noise pollution. The noise levels calculated in 2020 show a strong spatio-temporal variability explained by the proximity of the emission sources, but also that the noise level decreases by 6–10 dB (A) during the lockdowns. Indeed, near the main roads, 57–63 dB (A) are recorded during the lockdowns, compared to 67–72 dB (A) outside the lockdowns. Mainly the number of vehicles contribute to a large part of the noise level, to which the noise of construction sites can occasionally be added as in the south-eastern part of the study area.

Investigation of multimodal wave climate using spectral partitioning and wave system tracking algorithms

Typically, ocean waves comprise both wind sea and swell systems, each exhibiting different characteristics in terms of decay, propagation, and their impact on engineering. Distinguishing between wind sea and short/long swell systems is critical for both scientific research and engineering applications, such as climate assessment, harbor agitation, and structural design, which has led to a growing interest in studies of multimodal wave climate.This study investigates the origin and characteristics of multimodal waves based on spectral partitioning and wave system tracking, taking Sri Lanka in the North Indian Ocean as a case study. The data is generated from the spectral wave model WAVEWATCH III. Results show that the wave systems mainly originate from the southwest monsoon, northeast monsoon, southeast trade winds, and southern storm belt. Tropical cyclones can occasionally contribute to multimodal waves. Subsequently, four spectral zones of wave origins are defined according to the joint probability density distribution of partitioned mean wave directions and peak periods estimated by a kernel function. Storm belt waves are responsible for over 36 % of the total wave systems. Finally, two ways of describing wave climate based on the partitioned bulk wave parameters are compared. One offers a thorough understanding of the wave climate from the perspective of wave origin; however, it loses the combined information of wave systems. The other method, while lacking a guaranteed coherence between the wave systems over time, preserves the crucial combined information of wave systems, which is useful in generating a reduced dataset comprising representative cases.

Device Structure, Light Source Height, and Sunset Time Affect the Light-Trap Catching of Tea Leafhoppers.

Device structure, light source height, and climatic factors can potentially affect the catching of target pests in light traps. In this study, the installation of an anti-escape cover in a newly designed light trap significantly increased the number of catches of tea leafhoppers, Empoasca onukii, an economically significant pest of tea gardens, and it prevented 97.95% of leafhoppers from escaping. A series of assessments were performed in the field and showed that the optimal trapping window of the light trap was between 1.5 and 2.5 h (2 ± 0.35 h) after sunset, and the starting time of the window was positively correlated with the sunset time. The number of leafhopper catches decreased sharply when the height of the light source was above the flight height range of E. onukii adults. The height of the light source was optimal between 20 and 40 cm above the tea canopy. The efficacy of the light traps for capturing leafhoppers decreased in the autumn peak period. High numbers of leafhopper catches by the newly designed light trap in the summer could reduce E. onukii population sizes in the autumn. Overall, the newly designed light trap can be used to reduce E. onukii adult populations in tea gardens.

The past as a prologue: aspirations for the future portrayed in Chinese vernacular miniature monuments

ABSTRACT Whether to look to the past is a perennial dilemma, as the past evokes both terror and pleasure. Focusing on miniature monuments built for ancestors in the context of pre-modern China, this study reveals that while the peak period of production of miniature monuments occurred during the Han dynasty, the miniature monument building practice can be traced to living cases today. This paper highlights a phenomenon, a vision of the future imagined by descendants was integrated into a dialogue with the past through the agency of symbolic representations of buildings constructed for the deceased. Architecture, in this sense, acted as a facilitator of difficult communication with the deceased and conveyed profound desires that people strongly embraced but could not articulate. Such desires and dreams may not be accommodated in reality, but constructing miniature monuments in honour of ancestors reiterates that architecture is a spiritual home for brave imaginations and deep desires of people.