bluuebunny/crossref_metadata_2025 huggingface dataset:
A Scale-Adaptive Time-Efficient Depth Map Fusion Algorithm
Authors: Zhang Qian , Lai Zhengchao , Wang Yue , Qu Yanlin , Han Shaokun
Published: February 2023

TSDF (truncated signed distance function) is a classical algorithm for real-time 3D reconstruction, which is simple and parallelizable. Still, the memory consumption and cost of time consumption limit the expansion of the reconstructed scene. To solve these problems, we proposed a new depth map fusion system. We open up a dynamically adjustable memory space, the size of which can be adaptively adjusted according to the coordinate distribution interval obtained from the GMM(Gaussian Mixture Model). When the scene exceeds the voxel coverage, a loop switch is triggered, and the mode of recycling the cache space is turned on. This system has a scene-adaptive memory management mechanism interspersed with CPU-GPU cooperative operations. It can improve the time efficiency without sacrificing the reconstruction accuracy and make it possible to reconstruct high-scale changing scenes. We have created a dataset of natural aviation scenes for extensive experiments. The experimental results show that our system is suitable for any scale of scenes. In terms of time, our method improves the time to fuse each depth map frame by order of magnitude. In evaluating the quality of the reconstructed surface, we compared our reconstructed surfaces with commercial 3D software, and the results show that more than $92 \%$ of the fractions differed from Metashape's results by less than 0.6m. In general, our system is more suitable for scenes with dynamic changes in scene scale and faster task requirements, which will promote the expansion of 3D reconstruction in practical applications.
Functional duality in group criticality via ambiguous interactions
Authors: Niizato Takayuki , Murakami Hisashi , Musha Takuya
Published: February 2023

Critical phenomena are wildly observed in living systems. If the system is at criticality, it can quickly transfer information and achieve optimal response to external stimuli. Especially, animal collective behavior has numerous critical properties, which are related to other research regions, such as the brain system. Although the critical phenomena influencing collective behavior have been extensively studied, two important aspects require clarification. First, these critical phenomena never occur on a single scale but are instead nested from the micro- to macro-levels (e.g., from a Lévy walk to scale-free correlation). Second, the functional role of group criticality is unclear. To elucidate these aspects, the ambiguous interaction model is constructed in this study; this model has a common framework and is a natural extension of previous representative models (such as the Boids and Vicsek models). We demonstrate that our model can explain the nested criticality of collective behavior across several scales (considering scale-free correlation, super diffusion, Lévy walks, and 1/f fluctuation for relative velocities). Our model can also explain the relationship between scale-free correlation and group turns. To examine this relation, we propose a new method, applying partial information decomposition (PID) to two scale-free induced subgroups. Using PID, we construct information flows between two scale-free induced subgroups and find that coupling of the group morphology (i.e., the velocity distributions) and its fluctuation power (i.e., the fluctuation distributions) likely enable rapid group turning. Thus, the flock morphology may help its internal fluctuation convert to dynamic behavior. Our result sheds new light on the role of group morphology, which is relatively unheeded, retaining the importance of fluctuation dynamics in group criticality.
Nano-scale solution of the Poisson-Nernst-Planck (PNP) equations in a fraction of two neighboring cells reveals the magnitude of intercellular electrochemical waves
Authors: Jæger Karoline Horgmo , Ivanovic Ena , Kucera Jan P. , Tveito Aslak
Published: February 2023

The basic building blocks of the electrophysiology of cardiomyocytes are ion channels integrated in the cell membranes. Close to the ion channels there are very strong electrical and chemical gradients. However, these gradients extend for only a few nano-meters and are therefore commonly ignored in mathematical models. The full complexity of the dynamics is modelled by the Poisson-Nernst-Planck (PNP) equations but these equations must be solved using temporal and spatial scales of nano-seconds and nano-meters. Here we report solutions of the PNP equations in a fraction of two abuttal cells separated by a tiny extracellular space. We show that when only the potassium channels of the two cells are open, a stationary solution is reached with the well-known Debye layer close to the membranes. When the sodium channels of one of the cells are opened, a very strong and brief electrochemical wave emanates from the channels. If the extracellular space is sufficiently small and the number of sodium channels is sufficiently high, the wave extends all the way over to the neighboring cell and may therefore explain cardiac conduction even at very low levels of gap junctional coupling.
Fire frequency and vulnerability in California
Authors: Hino Miyuki , Field Christopher B.
Published: February 2023

Wildfires pose a large and growing threat to communities across California, and understanding fire vulnerability and impacts can enable more effective risk management. Government hazard maps are often used to identify at-risk areas, but hazard zones and fire experience may have different implications for communities. This analysis of three decades of fire footprints, hazard maps, and census and real estate data shows that communities with high fire experience differ substantially from communities with high fire hazard. High-hazard communities average higher incomes than low- and no-hazard communities; conversely, communities with high fire experience average lower incomes than those with little to no experience. Home values have grown more slowly in communities with high fire experience, translating to differences in total appreciation of $165M-$630M per year relative to communities with no fire experience. Warming over the remainder of the century could add tens of thousands of homes to high-experience zones. This relationship between income and fire experience may be a reflection of the impacts of repeated fires relative to mapped hazards or single fires, or it could point to a relationship between income and the success of fire prevention or suppression. The discrepancies between dimensions indicates that considering fire frequency can support efforts to equitably target risk management resources.
Changing temperature profiles and the risk of dengue outbreaks
Authors: Trejo Imelda , Barnard Martha , Spencer Julie A. , Keithley Jeffrey , Martinez Kaitlyn M. , Crooker Isabel , Hengartner Nicolas , Romero-Severson Ethan O. , Manore Carrie
Published: February 2023

As temperatures change worldwide, the pattern and competency of disease vectors will change, altering the global distribution of both the burden of infectious disease and the risk of the emergence of those diseases into new regions. To evaluate the risk of potential summer dengue outbreaks triggered by infected travelers under various climate scenarios, we develop an SEIR-type model, run numerical simulations, and conduct sensitivity analyses under a range of temperature profiles. Our model extends existing theoretical frameworks for studying dengue dynamics by introducing temperature dependence of two key parameters: the mosquito extrinsic incubation period and the lifespan of mosquitoes, which empirical data suggests are both highly temperature dependent. We find that changing temperature significantly alters dengue risk in an inverted U-shape, with temperatures in the range 27-31°C producing the highest risk. As temperatures increase beyond 31°C, the determinants of dengue risk begin to shift from mosquito biting rate and carrying capacity to the duration of the human infectious period, suggesting that changing temperatures not only alter dengue risk but also the potential efficacy of control measures. To illustrate the role of spatial and temporal temperature heterogeneity, we select five US cities where the primary dengue vector, the mosquito Aedes aegypti, has been observed, and which have had dengue cases in the past: Los Angeles, Houston, Miami, Brownsville, and Phoenix. Our analysis suggests that an increase of 3°C leads to an approximate doubling of the risk of dengue in Los Angeles and Houston, but a reduction of risk in Miami, Brownsville, and Phoenix due to extreme heat.
Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers
Authors: Rudas Akos , Chiang Jeffrey N. , Corradetti Giulia , Rakocz Nadav , Avram Oren , Halperin Eran , Sadda Srinivas R.
Published: February 2023

Age-related Macular Degeneration (AMD) is a major cause of irreversible vision loss in individuals over 55 years old in the United States. One of the late-stage manifestations of AMD, and a major cause of vision loss, is the development of exudative macular neovascularization (MNV). Optical Coherence Tomography (OCT) is the gold standard to identify fluid at different levels within the retina. The presence of fluid is considered the hallmark to define the presence of disease activity. Anti-vascular growth factor (anti-VEGF) injections can be used to treat exudative MNV. However, given the limitations of anti-VEGF treatment, as burdensome need for frequent visits and repeated injections to sustain efficacy, limited durability of the treatment, poor or no response, there is a great interest in detecting early biomarkers associated with a higher risk for AMD progression to exudative forms in order to optimize the design of early intervention clinical trials. The annotation of structural biomarkers on optical coherence tomography (OCT) B-scans is a laborious, complex and time-consuming process, and discrepancies between human graders can introduce variability into this assessment. To address this issue, a deep-learning model (SLIVER-net) was proposed, which could identify AMD biomarkers on structural OCT volumes with high precision and without human supervision. However, the validation was performed on a small dataset, and the true predictive power of these detected biomarkers in the context of a large cohort has not been evaluated. In this retrospective cohort study, we perform the largest-scale validation of these biomarkers to date. We also assess how these features combined with other EHR data (demographics, comorbidities, etc) affect and/or improve the prediction performance relative to known factors. Our hypothesis is that these biomarkers can be identified by a machine learning algorithm without human supervision, in a way that they preserve their predictive nature. The way we test this hypothesis is by building several machine learning models utilizing these machine-read biomarkers and assessing their added predictive power. We found that not only can we show that the machine-read OCT B-scan biomarkers are predictive of AMD progression, we also observe that our proposed combined OCT and EHR data-based algorithm outperforms the state-of-the-art solution in clinically relevant metrics and provides actionable information which has the potential to improve patient care. In addition, it provides a framework for automated large-scale processing of OCT volumes, making it possible to analyze vast archives without human supervision.
Germline protein, Cup, non-cell autonomously limits migratory cell fate in Drosophila oogenesis
Authors: Saha Banhisikha , Acharjee Sayan , Ghosh Gaurab , Dasgupta Purbasa , Prasad Mohit
Published: February 2023

Specification of migratory cell fate from a stationary population is complex and indispensable both for metazoan development as well for the progression of the pathological condition like tumor metastasis. Though this cell fate transformation is widely prevalent, the molecular understanding of this phenomenon remains largely elusive. We have employed the model of border cells (BC) inDrosophilaoogenesis and identified germline activity of an RNA binding protein, Cup that limits acquisition of migratory cell fate from the neighbouring follicle epithelial cells. As activation of JAK-STAT in the follicle cells is critical for BC specification, our data suggest that Cup, non-cell autonomously restricts the domain of JAK-STAT by activating Notch in the follicle cells. Employing genetics and Delta endocytosis assay, we demonstrate that Cup regulates Delta recycling in the nurse cells through Rab11GTPase thus facilitating Notch activation in the adjacent follicle cells. Since Notch and JAK-STAT are antagonistic, we propose that germline Cup functions through Notch and JAK-STAT to modulate BC fate specification from their static epithelial progenitors.
Health facility assessments of cervical cancer prevention, early diagnosis, and treatment services in Gulu, Uganda
Authors: Chongsuwat Tana , Ibrahim Aaliyah O. , Evensen Ann E. , Conway James H. , Zwick Margaret , Oloya William
Published: February 2023

Background

Cervical cancer is ranked globally in the top three cancers for women younger than 45 years, with the average age of death at 59 years of age. The highest burden of disease is in low-to-middle income countries (LMICs), responsible for 90% of the 311,000 cervical cancer deaths in 2018. This growing health disparity is due to the lack of quality screening and treatment programs, low human papillomavirus (HPV) vaccination rates, and high human immunodeficiency virus (HIV) co-infection rates. To address these gaps in care, we need to develop a clear understanding of the resources and capabilities of LMICs’ health care facilities to provide prevention, early diagnosis through screening, and treatment for cervical cancer.

Objectives

This project aimed to assess baseline available cervical cancer prevention, early diagnosis, and treatment resources, at facilities designated as Health Center III or above, in Gulu, Uganda.

Methods

We adapted the World Health Organization’s Harmonized Health Facility Assessment for our own HFA and grading scale, deploying it in October 2021 for a cross-sectional analysis of 21 health facilities in Gulu.

Results

Grading of Health Center IIIs (n = 16) concluded that 37% had “excellent” or “good” resources available, and 63% of facilities had “poor” or “fair” resources available. Grading of Health Center IVs and above (n = 5) concluded that 60% of facilities had “excellent” or “good” resources, and 40% had “fair” resources available.

Discussion

The analysis of health facilities in Gulu demonstrated subpar resources available for cervical cancer prevention, early diagnosis, and treatment. Focused efforts are needed to expand health centers’ resources and capability to address rising cervical cancer rates and related health disparities in LMICs. The development process for this project’s HFA can be applied to global cervical cancer programming to determine gaps in resources and indicate areas to target improved health equity.
Achieving the UNAIDS first ‘95’ in prenuptial HIV/AIDS testing among reproductive-aged Rwandese women: A multilevel analysis of 2019–20 population-based data
Authors: Ekholuenetale Michael , Owobi Olah Uloko , Barrow Amadou
Published: February 2023

A significant public health concern that disproportionately affects women is human immunodeficiency virus (HIV). Prenuptial HIV testing is no doubt a major step for people to learn their HIV status. In this study, the coverage of prenuptial HIV testing and its associated factors were examined among reproductive-aged Rwandese women. This study included a total of 14,634 reproductive-aged Rwandese women using 2019–20 Rwanda Demographic and Health Survey (RDHS). The coverage of prenuptial HIV/AIDS testing and the variables influencing it were evaluated using percentage and multilevel logit model. The level of significance was set at p<0.05. The weighted prevalence of prenuptial HIV/AIDS testing was 45.9% (95%CI: 44.8%-47.1%). The respondents who attained primary and secondary+ education had 31% (OR = 1.31; 95%CI: 1.09–1.59) and 56% (OR = 1.56; 95%CI: 1.25–1.95) higher odds of prenuptial HIV/AIDS testing, when compared with uneducated women. Those who got married or had their first sex at an adult age (18+ years), had higher odds of prenuptial HIV/AIDS testing, when compared with women who got married before age 18 years or never had sex respectively. Women’s age, nativity and region were associated with prenuptial HIV testing. Women with knowledge of HIV test kits, had higher odds of prenuptial HIV/AIDS testing (OR = 1.45; 95%CI: 1.30–1.63), when compared with those with no knowledge of HIV test kits. The respondents from female-headed households had 12% reduction in prenuptial HIV/AIDS testing (OR = 0.88; 95%CI: 0.80–0.97), when compared with their male-headed counterparts. The moderately (OR = 1.16; 95%CI: 1.03–1.31) and highly (OR = 1.55; 95%CI: 1.37–1.75) enlightened women had higher odds of prenuptial HIV/AIDS testing, when compared with those with low enlightenment. The uptake of prenuptial HIV/AIDS testing was relatively low among Rwandese women. We recommend improving women’s education, enlightenment, delay in sexual debut, marriage at adult age (18years) and increasing knowledge about HIV testing among women.
Stress and coping strategies among higher secondary and undergraduate students during COVID-19 pandemic in Nepal
Authors: Rijal Durga , Paudel Kiran , Adhikari Tara Ballav , Bhurtyal Ashok
Published: February 2023

Coronavirus Disease (COVID-19) pandemic has profoundly affected lives around the globe and has caused a psychological impact among students by increasing stress and anxiety. This study evaluated the stress level, sources of stress of students of Nepal and their coping strategies during the pandemic. A cross-sectional web-based study was conducted during the complete lockdown in July 2020 among 615 college students. Stress owing to COVID-19 and the lockdown was assessed using the Perceived Stress Scale (PSS), and Brief Coping Orientation to Problems Experienced (Brief COPE) was used to evaluate coping strategies. To compare the stress level among participants chi-square test was used. The Student’s t-test was used to compare Brief COPE scores among participants with different characteristics. The majority of study participants were female (53%). The mean PSS score was (±SD) of 20.2±5.5, with 77.2% experiencing moderate and 10.7% experiencing a high-stress level. Moderate to high levels of stress were more common among girls (92.6%) than boys (82.7%) (P = 0.001). However, there was a significant difference in perceived stress levels disaggregated by the students’ age, fields and levels of study, living status (with or away from family), parent’s occupation, and family income. The mean score for coping strategy was the highest for self-distraction (3.3±0.9), whereas it was the lowest for substance use (1.2±0.5). Students with a low level of stress had a higher preference for positive reframing and acceptance, whereas those with moderate to high levels of stress preferred venting. Overall, students experienced high stress during the lockdown imposed as part of governmental efforts to control COVID-19. Therefore, the findings of our study suggest stress management programs and life skills training. Also, further studies are necessary to conduct a longitudinal assessment to analyse the long-term impact of this situation on students’ psychological states.
Sixteen-year trends in multiple lifestyle risk behaviours by socioeconomic status from 2004 to 2019 in New South Wales, Australia
Authors: Nguyen Binh , Smith Janette , Clare Philip , Phongsavan Philayrath , Cranney Leonie , Ding Ding
Published: February 2023

Few studies have examined trends in inequalities related to lifestyle risk behaviours. This study examined 1) 16-year (2004–2019) trends of individual lifestyle risk factors and a combined lifestyle risk index and 2) trends in socioeconomic inequalities in these risk factors, in New South Wales (NSW; Australia) adults. Data was sourced from the NSW Adult Population Health Survey, an annual telephone survey of NSW residents aged ≥16 years, totalling 191,905 completed surveys. Excessive alcohol consumption, current smoking, insufficient physical activity, insufficient fruit and/or vegetable consumption, sugar-sweetened beverage [SSB] consumption, and a combined lifestyle risk index (overall high-risk lifestyle defined as total number of lifestyle risk behaviours ≥2) were examined. Socioeconomic status was assessed using education attainment, postal area-level disadvantage measured by Index of Relative Socioeconomic Disadvantage (IRSD), and remoteness based on Accessibility-Remoteness Index of Australia Plus (ARIA+). Socioeconomic inequalities were examined as prevalence difference for absolute inequalities and prevalence ratio for relative inequalities. The prevalence of lifestyle behaviours by levels of each socioeconomic status variable were estimated using predicted probabilities from logistic regression models. After adjusting for covariates, there was a decrease in prevalence over time for most lifestyle risk behaviours. Between 2004 and 2019, the prevalence decreased for current smoking from 21.8% to 17.1%, insufficient physical activity from 39.1% to 30.9%, excessive alcohol consumption from 15.4% to 13.7%, daily SSB consumption from 29.9% to 21.2%, and overall high-risk lifestyle from 50.4% to 43.7%. Socioeconomic inequalities, based on one or more of the socioeconomic variables, increased over time for current smoking, insufficient physical activity, daily SSB consumption, and an overall high-risk lifestyle. Overall, the health behaviours of the NSW population improved between 2004 and 2019. However, some socioeconomic inequalities increased during this time, highlighting the need for effective public health strategies that seek to improve health behaviours among the most socioeconomically disadvantaged.
STIMULATE-ICP: A pragmatic, multi-centre, cluster randomised trial of an integrated care pathway with a nested, Phase III, open label, adaptive platform randomised drug trial in individuals with Long COVID: A structured protocol
Authors: Forshaw Denise , Wall Emma C. , Prescott Gordon , Dehbi Hakim-Moulay , Green Angela , Attree Emily , Hismeh Lyth , Strain William D. , Crooks Michael G. , Watkins Caroline , Robson Chris , Banerjee Rajarshi , Lorgelly Paula , Heightman Melissa , Banerjee Amitava ,   the STIMULATE-ICP trial team
Published: February 2023

Introduction

Long COVID (LC), the persistent symptoms ≥12 weeks following acute COVID-19, presents major threats to individual and public health across countries, affecting over 1.5 million people in the UK alone. Evidence-based interventions are urgently required and an integrated care pathway approach in pragmatic trials, which include investigations, treatments and rehabilitation for LC, could provide scalable and generalisable solutions at pace.

Methods and analysis

This is a pragmatic, multi-centre, cluster-randomised clinical trial of two components of an integrated care pathway (Coverscan™, a multi-organ MRI, and Living with COVID Recovery™, a digitally enabled rehabilitation platform) with a nested, Phase III, open label, platform randomised drug trial in individuals with LC. Cluster randomisation is at level of primary care networks so that integrated care pathway interventions are delivered as “standard of care” in that area. The drug trial randomisation is at individual level and initial arms are rivaroxaban, colchicine, famotidine/loratadine, compared with no drugs, with potential to add in further drug arms. The trial is being carried out in 6–10 LC clinics in the UK and is evaluating the effectiveness of a pathway of care for adults with LC in reducing fatigue and other physical, psychological and functional outcomes at 3 months. The trial also includes an economic evaluation which will be described separately.

Ethics and dissemination

The protocol was reviewed by South Central—Berkshire Research Ethics Committee (reference: 21/SC/0416). All participating sites obtained local approvals prior to recruitment. Coverscan™ has UK certification (UKCA 752965). All participants will provide written consent to take part in the trial. The first participant was recruited in July 2022 and interim/final results will be disseminated in 2023, in a plan co-developed with public and patient representatives. The results will be presented at national and international conferences, published in peer reviewed medical journals, and shared via media (mainstream and social) and patient support organisations.

Trial registration number

ISRCTN10665760.
A method for detecting the quality of cotton seeds based on an improved ResNet50 model
Authors: Du Xinwu , Si Laiqiang , Li Pengfei , Yun Zhihao
Published: February 2023

The accurate and rapid detection of cotton seed quality is crucial for safeguarding cotton cultivation. To increase the accuracy and efficiency of cotton seed detection, a deep learning model, which was called the improved ResNet50 (Impro-ResNet50), was used to detect cotton seed quality. First, the convolutional block attention module (CBAM) was embedded into the ResNet50 model to allow the model to learn both the vital channel information and spatial location information of the image, thereby enhancing the model’s feature extraction capability and robustness. The model’s fully connected layer was then modified to accommodate the cotton seed quality detection task. An improved LRelu-Softplus activation function was implemented to facilitate the rapid and straightforward quantification of the model training procedure. Transfer learning and the Adam optimization algorithm were used to train the model to reduce the number of parameters and accelerate the model’s convergence. Finally, 4419 images of cotton seeds were collected for training models under controlled conditions. Experimental results demonstrated that the Impro-ResNet50 model could achieve an average detection accuracy of 97.23% and process a single image in 0.11s. Compared with Squeeze-and-Excitation Networks (SE) and Coordination Attention (CA), the model’s feature extraction capability was superior. At the same time, compared with classical models such as AlexNet, VGG16, GoogLeNet, EfficientNet, and ResNet18, this model had superior detection accuracy and complexity balances. The results indicate that the Impro-ResNet50 model has a high detection accuracy and a short recognition time, which meet the requirements for accurate and rapid detection of cotton seed quality.
Female top managers and firm performance
Authors: Martínez-Zarzoso Inmaculada
Published: February 2023

This paper uses firm-level data worldwide to investigate productivity gaps between female and male-managed companies in developing and developed countries and compare the outcomes obtained for different regions in the world. The main aim is to shed some light on the debate around the existence of performance differences when females participate in managerial activities. The main results indicate that it is crucial to distinguish between female management and female ownership and the confluence between both. We find that when the firms have a top female manager and ownership is exclusively male, firms show higher average labor productivity. We argue that firms owned by males belong to male-dominated corporate culture and would only select a female manager if she is more competent than potential male candidates. These results are very heterogeneous among regions, of which South Saharan Africa, East Asia, and South Asia are driving the main results.
The effect of shared decision-making in choosing the method of labor analgesia on childbirth experience among primiparous women
Authors: Shahveisi Maryam , Nourizadeh Roghaiyeh , Mehrabi Esmat
Published: February 2023

Background

Childbearing women reported moderate and sometimes low levels of autonomy in decision-making with their health care providers especially about their pain relief type and which may affect their childbirth experience. There is limited evidence about the effect of shared decision-making about childbirth pain relief on childbirth experience and satisfaction.

Objective

The present study aimed to assess the effect of shared decision-making in choosing the method of labor analgesia on childbirth experience and satisfaction among primiparous women.

Methods

This interventional study was conducted on 66 primiparous women with 38–42 weeks gestational age and with symptoms of labor and childbirth onset. Women were assigned into the intervention and control groups in a ratio of 1: 1 using blocked randomization. The intervention group received shared decision making about the advantages and disadvantages of labor analgesia methods, and the control group received routine care. Questionnaires, including obstetrics and demographic characteristics, Labor Agentry Scale (LAS), McKay Childbirth Satisfaction Rating Scale (MCSRS), Support and Control In Birth (SCIB) were completed. Data were analyzed by SPSS24software and independent t-test and ANCOVA were used.

Result

After the intervention, the mean score of childbirth experience in the intervention group was significantly higher than that in the control group [Mean Difference (MD): 6.77, 95% CI: 2.72 to 10.82, (P <0.001)]. Further, the mean score of childbirth satisfaction in the intervention group was significantly higher than that in the control group [MD: 19.06, 95% CI: 9.63 to 28.49, (P<0.001)]. The mean score of control and support during childbirth and its subscales in the intervention group was significantly higher than that in the control group after the intervention [MD: 17.21, 95% CI: 9.40 to 25.03, (P <0.001)].

Conclusion

It is recommended that mothers should be involved in treatment decisions during childbirth since they are considered an important part of providing care during labor and childbirth.
Partial stratified ranked set sampling scheme for estimation of population mean and median
Authors: M Maria , Almanjahie Ibrahim M. , Ismail Muhammad , Cheema Ammara Nawaz
Published: February 2023

Ranked set sampling is an alternative to simple random sampling, which uses the least amount of money and time. The ranked set sampling (RSS) is modified to obtain a more efficient and cost-effective estimator of population parameters. This paper aims to bring a more efficient and cost-effective design than stratified ranked set sampling and simple random sampling. In some distributions, the suggested method used fewer sample units than stratified ranked set sampling and gives a more efficient estimation of population parameters. In symmetric distributions, the proposed design, called "partial stratified ranked set sampling" yields an unbiased estimator of the population mean. The design is illustrated with practical data of COVID-19 confirmed cases.
Comparing modelling approaches for the estimation of government intervention effects in COVID-19: Impact of voluntary behavior changes
Authors: Liu Lun , Zhang Zhu , Wang Hui , Wang Shenhao , Zhuang Shengsheng , Duan Jishan
Published: February 2023

The efficacy of government interventions in epidemic has become a hot subject since the onset of COVID-19. There is however much variation in the results quantifying the effects of interventions, which is partly related to the varying modelling approaches employed by existing studies. Among the many factors affecting the modelling results, people’s voluntary behavior change is less examined yet likely to be widespread. This paper therefore aims to analyze how the choice of modelling approach, in particular how voluntary behavior change is accounted for, would affect the intervention effect estimation. We conduct the analysis by experimenting different modelling methods on a same data set composed of the 500 most infected U.S. counties. We compare the most frequently used methods from the two classes of modelling approaches, which are Bayesian hierarchical model from the class of computational approach and difference-in-difference from the class of natural experimental approach. We find that computational methods that do not account for voluntary behavior changes are likely to produce larger estimates of intervention effects as assumed. In contrast, natural experimental methods are more likely to extract the true effect of interventions by ruling out simultaneous behavior change. Among different difference-in-difference estimators, the two-way fixed effect estimator seems to be an efficient one. Our work can inform the methodological choice of future research on this topic, as well as more robust re-interpretation of existing works, to facilitate both future epidemic response plans and the science of public health.
IL-1β knockdown inhibits cigarette smoke extract-induced inflammation and apoptosis in vascular smooth muscle cells
Authors: Jiang Hongfeng , Guo Zhangqiang , Zeng Kun , Tang Haiyan , Tan Hanxuan , Min Rui , Huang Caihua
Published: February 2023

Objective

This study was aimed to investigate the role of interleukin-1β (IL-1β) in cigarette smoke extract (CSE)-induced apoptosis in vascular smooth muscle cells and the underlying mechanism in a rat derived cell line.

Methods

Rat thoracic aortic smooth muscle cells (A7r5) were divided into six groups including control, CSE (model), CSE+ overexpression empty vector (OvExp-EV), CSE+IL-1β knockdown (KD), and CSE+ IL-1β knockdown empty vector (KD-EV). The mRNA expression levels of IL-1β and pregnancy-associated plasma protein A (PAPP-A) were detected by quantitative polymerase chain reaction (qPCR). The apoptosis of A7r5 cells was detected by flow cytometry. The expression levels of inflammatory mediators (TNFα, IL-6 and IL-8) and apoptotic proteins (Bax and Bcl-2) were determined by western blot.

Results

CSE induced significant apoptosis in vascular smooth muscle cells (P < 0.01) and elevated the mRNA levels of IL-1β and PAPP-A (P < 0.01). CSE administration increased protein expression of Bax, TNF-α, IL-6, and IL-8, with significantly reduced Bcl-2 expression (P < 0.01). IL-1β knockdown significantly decreased cell apoptosis via regulating the expression of these proteins (P < 0.05 or P < 0.01).

Conclusion

IL-1β is involved in CSE-induced PAPP-A expression and apoptosis in vascular smooth muscle cells, which might be considered as a target for preventing of cardiovascular diseases caused by cigarette smoking.
Mimicking seasonal changes in light-dark cycle and ambient temperature modulates gut microbiome in mice under the same dietary regimen
Authors: Matsumoto Shoko , Ren Liang , Iigo Masayuki , Murai Atsushi , Yoshimura Takashi
Published: February 2023

To better adapt to seasonal environmental changes, physiological processes and behaviors are regulated seasonally. The gut microbiome interacts with the physiology, behavior, and even the diseases of host animals, including humans and livestock. Seasonal changes in gut microbiome composition have been reported in several species under natural environments. Dietary content significantly affects the composition of the microbiome, and, in the natural environment, the diet varies between different seasons. Therefore, understanding the seasonal regulatory mechanisms of the gut microbiome is important for understanding the seasonal adaptation strategies of animals. Herein, we examined the effects of changing day length and temperature, which mimic summer and winter conditions, on the gut microbiome of laboratory mice. Principal coordinate analysis and analysis of the composition of microbiomes of 16S rRNA sequencing data demonstrated that the microbiomes of the cecum and large intestine showed significant differences between summer and winter mimicking conditions. Similar to previous studies, a daily rhythm was observed in the composition of the microbiome. Furthermore, the phylogenetic investigation of communities by reconstruction of unobserved states predicted seasonal changes in several metabolic pathways. Changing day length and temperature can affect the composition of the gut microbiome without changing dietary contents.
Multiple factors co-limit short-term in situ soil carbon dioxide emissions
Authors: Raich James W. , Kaiser Mark S. , Dornbush Mathew E. , Martin Jonathan G. , Valverde-Barrantes O. J.
Published: February 2023

Soil respiration is a major source of atmospheric CO2. If it increases with warming, it will counteract efforts to minimize climate change. To improve understanding of environmental controls over soil CO2emission, we applied generalized linear modeling to a large dataset of in situ measurements of short-term soil respiration rate, with associated environmental attributes, which was gathered over multiple years from four locations that varied in climate, soil type, and vegetation. Soil respiration includes many CO2-producing processes: we theorized that different environmental factors could limit each process distinctly, thereby diminishing overall CO2emissions. A baseline model that included soil temperature, soil volumetric water content, and their interaction was effective in estimating soil respiration at all four locations (p< 0.0001). Model fits, based on model log likelihoods, improved continuously as additional covariates were added, including mean daily air temperature, enhanced vegetation index (EVI), and quadratic terms for soil temperature and water content, and their interactions. The addition of land cover and its direct interactions with environmental variables further improved model fits. Significant interactions between covariates were observed at each location and at every stage of analysis, but the interaction terms varied among sites and models, and did not consistently maintain importance in more complex models. A main-effects model was therefore tested, which included soil temperature and water content, their quadratic effects, EVI, and air temperature, but no interactions. In that case all six covariates were significant (p< 0.0001) when applied across sites. We infer that local-scale soil-CO2emissions are commonly co-limited by EVI and air temperature, in addition to soil temperature and water content. Importantly, the quadratic soil temperature and moisture terms were significantly negative: estimated soil-CO2emissions declined when soil temperature exceeded 22.5°C, and as soil moisture differed from the optimum of 0.27 m3m-3.
An Early Miocene kentriodontoid (Cetacea: Odontoceti) from the western North Pacific, and its implications for their phylogeny and paleobiogeography
Authors: Guo Zixuan , Kohno Naoki
Published: February 2023

So–called ‘kentriodontids’ are extinct dolphin–like odontocetes known from the Early to Late Miocene worldwide. Although recent studies have proposed that they were monophyletic, their taxonomic relationships still remain controversial. Such a controversy exists partly because of the predominance of primitive morphologies in this taxon, but the fact is that quite a few ‘kentriodontids’ are known only from fragmentary skulls and/or isolated periotics. A new ‘kentriodontid’Platysvercus ugonisgen. et sp. nov. is described based on a nearly complete skull from the upper Lower Miocene Sugota Formation, Akita Prefecture, northern Japan. Based on the phylogenetic analysis ofP.ugonisdescribed here, the monophyly of the ‘kentriodontids’ is confirmed, and it is recognized as the superfamily Kentriodontoidea. This new superfamily is subdivided into two families as new ranks: Kentriodontidae and Lophocetidae. Based on the paleobiogeographic analysis of the Kentriodontoidea, their common ancestor emerged in the North Pacific Ocean and spread over the Northern Hemisphere. Initial diversification of the Kentriodontidae in the North Pacific Ocean and the Lophocetidae in the North Atlantic Ocean was recognized as a vicariance event. The diversification and extinction of the Kentriodontoidea could have been synchronously influenced by climate events during the Middle Miocene.
Periodontal Inflamed Surface Area (PISA) associates with composites of salivary cytokines
Authors: Tang Vera , Hamidi Bubak , Janal Malvin N. , Barber Cheryl A. , Godder Benjamin , Palomo Leena , Kamer Angela R.
Published: February 2023

Background

Periodontal disease (PerioD) is a chronic, complex inflammatory condition resulting from the interaction between subgingival dysbiotic bacteria and the host immune response leading to local inflammation. Since periodontal inflammation is characterized by multiple cytokines effects we investigated whether Periodontal Inflamed Surface Area (PISA), a continuous measure of clinical periodontal inflammation is a predictor of composite indexes of salivary cytokines.

Methods and findings

In a cross-sectional study of 67 healthy, well-educated individuals, we evaluated PISA and several cytokines expressed in whole stimulated saliva. Two salivary cytokine indexes were constructed using weighted and unweighted approaches based on a Principal Component Analysis [named Cytokine Component Index (CCI)] or averaging the (standardized) level of all cytokines [named Composite Inflammatory Index (CII)]. In regression analysis we found that PISA scores were significantly associated with both salivary cytokine constructs, (CCI: part R = 0.51, p<0.001; CII: part R = 0.40, p = 0.001) independent of age, gender and BMI showing that single scores summarizing salivary cytokines correlated with severity of clinical periodontal inflammation.

Conclusions

Clinical periodontal inflammation may be reflected by a single score encompassing several salivary cytokines. These results are consistent with the complexity of interactions characterizing periodontal disease. In addition, Type I error is likely to be avoided.
Blood-borne infections and pregnancies among women attending a sexual violence assistance center in Brazil: A 10-year retrospective study
Authors: Musso Ribeiro de Oliveira Souza Chiara , Lima Gustavo Ribeiro , Miranda Angélica Espinosa
Published: February 2023

Introduction

Sexually transmitted infections (STI) and pregnancy can be consequences of sexual violence. In Brazil, around 50% of women victims of sexual violence do not undergo STI prophylaxis or emergency contraception.

Objectives

To analyze socio-demographic and epidemiological profile, frequency of procedures performed, frequency of blood-borne infections (BBI), pregnancy, and legal abortion in women assisted by a sexual violence assistance center.

Patients and methods

This 10-year retrospective cohort study (2010–2019) describes the socio-demographic and epidemiological profile and frequencies of clinical procedures, BBI, pregnancies, and legal abortions in 915 women assisted in a sexual violence assistance center in Brazil. We extracted data from the medical records and used descriptive statistics and chi-square and logistic regression.

Results

A total of 93.3% (842/915) were residents in the Metropolitan Area of the capital, 80,83% (733/915) were brown-skinned or white, 42.4% (388/915) were adolescents (12–17 years old), 80.4% (736/915) were single, most had no children, average of 1.8 (±1.0 DP) children. About one-third (313/915) had not had previous sexual intercourse, 1.6% (10/653) were pregnant. Rape predominated with 92.0% (841/915), of which 51.5% (471/915) involved a known or related aggressor, mostly an acquaintance, followed by a stepfather or father. Recurrent cases were 24.0% (227/915).

Clinical procedures

42.6% (390/915) were attended within 72 hours and received STI prophylaxis 43.4% (392/904); emergency contraception 38.6% (349/904); blood collection 71.6% (647/904). Prevalence: syphilis 0.3% (2/653); hepatitis B 0.2% (1/653); pregnancy 1.6% (10/653). Incidences: syphilis 1.1% (7/633); hepatitis B 0.8% (5/633); hepatitis C 0.6% (4/633); pregnancy 27.2% (172/633). There were no HIV cases. Trichomoniasis at 1.9% (2/108), HPV-induced cytological lesions at 4.7% (5/108), and bacterial vaginosis at 20.0% (21/108) were found on cervicovaginal samples. There were 129 legal abortions.

Conclusions

The socio-demographic aspects and the characteristics of the aggressions in the studied population are like those described in the Brazilian national database, including the remarkable number of adolescents. STI prophylaxis and emergency contraception were performed in less than half of the women. The incidence of pregnancy was higher among those women reporting firearms threats and lower among those receiving STI prophylaxis. The frequency of legal abortion was higher than in national data. Public policies ensuring access to sexual and reproductive health rights and strategies to improve the quality of care for women victims of sexual violence and education improvement may decrease vulnerability to STI and unintended pregnancies.
Short-term improvement of mental health after a COVID-19 vaccination
Authors: Chourpiliadis Charilaos , Lovik Anikó , Kähler Anna K. , Valdimarsdóttir Unnur A. , Frans Emma M. , Nyberg Fredrik , Sullivan Patrick F. , Fang Fang
Published: February 2023

Introduction

The role of COVID-19 vaccination on the mental health of the general population remains poorly understood. This study aims to assess the short-term change in depressive and anxiety symptoms in relation to COVID-19 vaccination among Swedish adults.

Methods

A prospective study of 7,925 individuals recruited from ongoing cohort studies at the Karolinska Institutet, Stockholm, Sweden, or through social media campaigns, with monthly data collections on self-reported depressive and anxiety symptoms from December 2020 to October 2021 and COVID-19 vaccination from July to October 2021. Prevalence of depressive and anxiety symptoms (defined as a self-reported total score of ≥10 in PHQ-9 and GAD-7, respectively) was calculated one month before, one month after the first dose, and, if applicable, one month after the second dose. For individuals not vaccinated or choosing not to report vaccination status (unvaccinated individuals), we selected three monthly measures of PHQ-9 and GAD-7 with 2-month intervals in-between based on data availability.

Results

5,079 (64.1%) individuals received two doses of COVID-19 vaccine, 1,977 (24.9%) received one dose, 305 (3.9%) were not vaccinated, and 564 (7.1%) chose not to report vaccination status. There was a lower prevalence of depressive and anxiety symptoms among vaccinated, compared to unvaccinated individuals, especially after the second dose. Among individuals receiving two doses of vaccine, the prevalence of depressive and anxiety symptoms was lower after both first (aRR = 0.82, 95%CI 0.76–0.88 for depression; aRR = 0.81, 95%CI 0.73–0.89 for anxiety) and second (aRR = 0.79, 95%CI 0.73–0.85 for depression; aRR = 0.73, 95%CI 0.66–0.81 for anxiety) dose, compared to before vaccination. Similar results were observed among individuals receiving only one dose (aRR = 0.76, 95%CI 0.68–0.84 for depression; aRR = 0.82, 95%CI 0.72–0.94 for anxiety), comparing after first dose to before vaccination.

Conclusions

We observed a short-term improvement in depressive and anxiety symptoms among adults receiving COVID-19 vaccines in the current pandemic. Our findings provide new evidence to support outreach campaigns targeting hesitant groups.
Back to the future: The advantage of studying key events in human evolution using a new high resolution radiocarbon method
Authors: Talamo Sahra , Kromer Bernd , Richards Michael P. , Wacker Lukas
Published: February 2023

Radiocarbon dating is the most widely applied dating method in archaeology, especially in human evolution studies, where it is used to determine the chronology of key events, such as the replacement of Neanderthals by modern humans in Europe. However, the method does not always provide precise and accurate enough ages to understand the important processes of human evolution. Here we review the newest method developments in radiocarbon dating (‘Radiocarbon 3.0’), which can lead us to much better chronologies and understanding of the major events in recent human evolution. As an example, we apply these new methods to discuss the dating of the important Palaeolithic site of Bacho Kiro (Bulgaria).