bluuebunny/crossref_metadata_2025_split huggingface dataset:
The National Health and Nutrition Examination Survey (NHANES), 2021–2022: Adapting Data Collection in a COVID-19 Environment
Authors: Paulose-Ram Ryne , Graber Jessica E. , Woodwell David , Ahluwalia Namanjeet 
Published: December 2021

The National Health and Nutrition Examination Survey (NHANES) is a unique source of national data on the health and nutritional status of the US population, collecting data through interviews, standard exams, and biospecimen collection. Because of the COVID-19 pandemic, NHANES data collection was suspended, with more than a year gap in data collection. NHANES resumed operations in 2021 with the NHANES 2021–2022 survey, which will monitor the health and nutritional status of the nation while adding to the knowledge of COVID-19 in the US population. This article describes the reshaping of the NHANES program and, specifically, the planning of NHANES 2021–2022 for data collection during the COVID-19 pandemic. Details are provided on how NHANES transformed its participant recruitment and data collection plans at home and at the mobile examination center to safely collect data in a COVID-19 environment. The potential implications for data users are also discussed. (Am J Public Health. 2021;111(12):2149–2156. https://doi.org/10.2105/AJPH.2021.306517 )
Advancements in the National Vital Statistics System to Meet the Real-Time Data Needs of a Pandemic
Authors: Ahmad Farida B. , Anderson Robert N. , Knight Karen , Rossen Lauren M. , Sutton Paul D. 
Published: December 2021

The National Center for Health Statistics’ (NCHS’s) National Vital Statistics System (NVSS) collects, processes, codes, and reviews death certificate data and disseminates the data in annual data files and reports. With the global rise of COVID-19 in early 2020, the NCHS mobilized to rapidly respond to the growing need for reliable, accurate, and complete real-time data on COVID-19 deaths. Within weeks of the first reported US cases, NCHS developed certification guidance, adjusted internal data processing systems, and stood up a surveillance system to release daily updates of COVID-19 deaths to track the impact of the COVID-19 pandemic on US mortality. This report describes the processes that NCHS took to produce timely mortality data in response to the COVID-19 pandemic. (Am J Public Health. 2021;111(12):2133–2140. https://doi.org/10.2105/AJPH.2021.306519 )
Considerations for Improving Reporting and Analysis of Date-Based COVID-19 Surveillance Data by Public Health Agencies
Authors: Hennessee Ian , Clennon Julie A. , Waller Lance A. , Kitron Uriel , Bryan J. Michael 
Published: December 2021

More than a year after the first domestic COVID-19 cases, the United States does not have national standards for COVID-19 surveillance data analysis and public reporting. This has led to dramatic variations in surveillance practices among public health agencies, which analyze and present newly confirmed cases by a wide variety of dates. The choice of which date to use should be guided by a balance between interpretability and epidemiological relevance. Report date is easily interpretable, generally representative of outbreak trends, and available in surveillance data sets. These features make it a preferred date for public reporting and visualization of surveillance data, although it is not appropriate for epidemiological analyses of outbreak dynamics. Symptom onset date is better suited for such analyses because of its clinical and epidemiological relevance. However, using symptom onset for public reporting of new confirmed cases can cause confusion because reporting lags result in an artificial decline in recent cases. We hope this discussion is a starting point toward a more standardized approach to date-based surveillance. Such standardization could improve public comprehension, policymaking, and outbreak response. (Am J Public Health. 2021;111(12):2127–2132. https://doi.org/10.2105/AJPH.2021.306520 )
Racial and Ethnic Disparities in COVID-19 Infection and Hospitalization in the Active Component US Military
Authors: Young John M. , Stahlman Shauna L. , Clausen Shawn S. , Bova Mark L. , Mancuso James D. 
Published: December 2021

Objectives. To assess COVID-19 disparities in the active component US military with an emphasis on race and ethnicity. Methods. In this retrospective cohort study, we calculated the incidence of COVID-19 testing, infection, and hospitalization in the active component US military in calendar year 2020. Results. Overall, 61.3 per 100 population per year were tested for COVID-19, 10.4% of tests were positive, and 1.1% of infected individuals were hospitalized. Non-Hispanic Blacks and Hispanics had a rate of testing for COVID-19 similar to that of Whites but had a higher risk of infection (adjusted risk ratio [ARR] = 1.25 and 1.26, respectively) and hospitalization (ARR = 1.28 and 1.21, respectively). Conclusions. Although of lower magnitude than seen in civilian populations, racial and ethnic disparities in COVID-19 infection and hospitalizations exist in the US military despite universal eligibility for health care, similar rate of testing, and adjustment for comorbidities and other factors. Simply making health care coverage available may be insufficient to ensure health equity. Interventions to mitigate disparities in the US military should target the patient, provider, health care system, and society at large. (Am J Public Health. 2021;111(12):2194–2201. https://doi.org/10.2105/AJPH.2021.306527 )
Statistical Characterization of Damage of Different Surface P-Wave Velocity Sets under Dynamic Load and Study on Overall Radon Detection Consistency
Authors: Zhang Shuai , Cao Jiantao , Liu Yong , Liu Jun , Hong Changshou , Lei Bo 
Published: December 2021

Abstract
On the basis of reviewing the existing research status of cumulative damage of the rock mass and summarizing the existing engineering application fields of radon, this paper attempts to apply radon detection technology to the research field of rock damage mechanics so as to monitor the evolution process of cumulative damage of the rock mass. Based on the above research purposes, a test device for detecting cumulative damage of radioactive rocks by surface radon gas was designed, and the test results were obtained by integrating the system to implement the test scheme. Due to the limitation of the nonmetallic ultrasonic detector, a single blasting damage value of 25 detection points appears after a single blasting measurement, which is a surface longitudinal wave velocity characterization damage set, while the surface radon exhalation rate in the subsequent analysis process is an overall characterization value; that is, the existence of damage directly affects the whole body radon exhalation rate of the test block, and the data dimensions of the two are different. In order to solve this problem, we try to introduce three data evaluation methods, the average weighting method, grey prediction method, and K-means clustering algorithm, and compare the feasibility of these three methods. It is proved that there is a certain linear relationship between the radon exhalation rate and the cumulative damage, which further verifies the feasibility of using radon to detect cumulative damage. The results show that the cumulative damage of loaded radioactive rock test blocks can be reflected by surface radon detection technology, and finally, the correlation between the cumulative damage characteristics and the continuous change of the body radon exhalation rate is obtained. Based on the correlation, the body radon exhalation rate is introduced into the field of fractured rock mass damage characterization, which is mutually improved with common monitoring methods such as acoustic emission and microseismic monitoring, supplementing and enriching the means of rock mass damage evolution characterization, providing a theoretical basis for finely describing the whole process of fracture closure and initiation, and finally accurately ensuring the stability of surrounding rock under the action of deep underground engineering excavation disturbance.
Characterization of a Volcanic Gas Reservoir Using Seismic Dispersion and Fluid Mobility Attributes
Authors: Guo Zhiqi , Li Yuedong , Liu Cai , Zhang Da , Li Anbang 
Published: December 2021

Abstract
Seismic dispersion and fluid mobility attributes are used to characterize a volcanic gas reservoir in the Songliao Basin of China. A rock physics model is constructed to describe poroelastic behaviors associated with heterogeneous fluids saturation within the volcanic gas reservoirs, where velocity dispersion and attenuation of propagating waves are attributed to the wave-induced fluid flow described by the patchy saturation theory. Modeling results indicate that the frequency-dependent bulk modulus at the seismic frequency is more sensitive to gas saturation than the P-wave velocity dispersion. Accordingly, a new inversion method is developed to compute bulk-modulus-related dispersion attribute DK for improved characterization of volcanic gas reservoirs. Synthetic tests indicate that DK is more sensitive than traditional P-wave dispersion attribute DP to the variations of reservoir properties. The high value of dispersion attribute DK indicates the volcanic gas reservoirs with high porosity and gas saturation. At the same time, fluid mobility attribute FM can discriminate the volcanic gas reservoir as DK. Field data applications illustrate that DK and FM exhibit anomalies to the gas zones in the volcanic gas reservoir on the cross-well section. However, DK is more robust than FM to identify favorable zones on horizontal slices for specific target layers. Overall, rock physical modeling provides insights into the poroelastic behaviors of volcanic gas reservoirs, and inversion for seismic dispersion attribute DK improves hydrocarbon detection in the volcanic gas reservoir.
Randomized clinical trial: does using zinc and zinc ionophore EGCG as supplements improve outcome of active pulmonary tuberculosis
Authors: Ahmed Amr , Elkazzaz Mahmoud 
Published: December 2021

Abstract
Tuberculosis is a big health challenge especially during the Covid-19 pandemic because of the similarity of symptoms between the two diseases, active pulmonary T.B is associated with malnutrition. Tuberculosis is still a global disease burden worldwide especially at low-income countries affecting families and health authorities because of the cost of medicine and health costs. There are growing numbers of multidrug resistants’ T.B patients. Epigallocatechin-3-gallate (EGCG) as antioxidant and inhibition of mycobacterium life in macrophages increase the potency of rifampicin oral anti-tuberculous drug. EGCG is an iron chelator which can be useful in T.B patients (1). Zinc is the most abundant trace element in the human body, Dabbagh-Bazarbachi et al. (2014) have demonstrated that EGCG can act as an ionophore that helps transport zinc to across cell membrane and exert cytotoxicity effect. EGCG can enhance the cytotoxicity of zinc ions to cancer. It is possible that the zinc(ii)-EGCG complex reduces the pH inside organelles, and might bind effectively to DNA in the nucleus. At our study use of EGCG and zinc as adjuvant therapy to national protocol may help at malnutrition and accelerate of sputum conversion to negative and faster improvement and less risk for infection transmission and lower the inflammatory cytokines like il-6 and increase weight of patients. Methodology: The objective of our study is to evaluate oral zinc administration as zinc sulfate 50 mg and zinc ionophore EGCG 200 mg in new smear positive active pulmonary tuberculosis patients above 18 year old for one month in an open labeled randomized controlled clinical trial (RCT) in line with directly observed treatment short course (DOTS) strategy recommended by WHO. We will do sputum tests at 0 and 2 weeks and 1 month for evaluation of conversion of positive to negative samples and also measure the serum zinc levels before the start of treatment, and serum interleukin 6 as cytokine marker. We are conducting this study at cat I patients as WHO classification of tuberculosis having active lung tuberculosis to see efficacy and change in immunological parameters. Place of study: Saudia Arabia – Ministry of health, public health department, First health cluster, Riyadh, Tuberculosis clinics of Mobile team tuberculosis program.Informed Consent will be taken from patients before the start the study.The clinical trial registration number for this trial is NCT05116098.
Predictive Value of Preoperative MRI Using the #ENZIAN Classification Score in Patients with Deep Infiltrating Endometriosis
Authors: TUNCA Aysun FENDAL , Iliman Derya Ece , Gemici Aysegul Akdogan , Kaya Cihan 
Published: December 2021

Abstract
Purpose

The aim of this study is to investigate the correlation between the magnetic resonance imaging (MRI) and intraoperative findings of deep infiltrating endometriosis using the #ENZIAN score.
Methods

This retrospective study included 64 patients who underwent surgery for deep infiltrating endometriosis between January 2017 and August 2020. Preoperative abdominopelvic MRI assessment was evaluated and scored using the #ENZIAN classification. Operative scores were considered the gold standard, and the sensitivity, specificity, and positive and negative predictive values (PPV and NPV) of MRI for each category were calculated.
Results

MRI has higher sensitivity and specificity in showing the lesions of the compartments O (ovarian lesions), A (rectovaginal septum and posterior vaginal fornix), and B (uterosacral ligaments and parametrium) (100–100%, 100–100%, and 97–100%, respectively, p<0.001) compared to the other compartments. The lowest sensitivity, specificity, accuracy, and PPV of the MRI was found in compartment P (14%, 76%, 70%, and 7%, respectively).
Conclusion

We demonstrated that the #ENZIAN classification in MRI reports has significant sensitivity and specificity in compartments A, B (uterosacral ligaments and parametrium), and O. Furthermore, the determination of peritoneal lesions via MRI is inadequate.
Stochastic Coordination of the Wind and Solar Energy Using Energy Storage System Based on Real Time Pricing
Authors: Saeedi Sajjad , Hosseini S. M. Hassan Hosseini 
Published: December 2021

Abstract
In this paper, Stochastic synchronization of the Wind and Solar Energy Using Energy Storage system based on real-time pricing in the Day Ahead-Market Along with taking advantage of the potential of Demand Response programming, has been analyzed. Since renewables energies, loads and prices are uncertain, and planning is based on real-time pricing, the optimal biding proposition considers the wind power, solar system, and energy storage system. Uncertainty is addressed to solve the bidding strategy in a day-ahead market for optimal wind and PV power and optimal charging for energy storage. Batteries are the most promising device to compensate for the fluctuations of wind and photovoltaic power plants to mitigate their uncertainty. In general, using MILP is a suitable approach to address uncertainty as long as a linear formulation is acceptable for modeling either with continuous variables or integer ones. By setting some scenarios to formulate market prices, imbalance of energy, wind and solar system, the uncertainty problems could be easily solved by MILP solver. The model created enables the retailer to realize the potentials of the demand response program and exploit high technical and economic advantages. To ensure fair prices, a set of regulating constraints is considered for sales prices imposed by the regulation committees. A model is presented to optimize the electricity trading strategy in the electricity market, considering the uncertainty in the wholesale market price and the demand level. The retailer considered in this paper is a distribution company that is the owner and operator of the networks and operates under real-time pricing regulations. To model demand response, the elasticity coefficient is used. The proposed solution is implemented on a standard 144-bus sample network using a nonlinear integer programming method. The presented method results provide helpful and valuable information based on the optimal method proposed by the retailers considering the Demand response program and real-time pricing (RTP) system.
A Step Towards Environmental Mitigation: How Do Economic Complexity And Natural Resources Matter? Focusing On Different Institutional Quality Level Countries
Authors: Esmaeili Parisa , Rafei Meysam , Lorente Daniel Balsalobre- 
Published: December 2021

Abstract
Changes in the economic structure and human lifestyle lead to environmental pollution, one of today's prime challenges. With this in mind, the main objectives of this study are to evaluate the impacts of economic complexity, natural resources, renewable energy consumption, and foreign direct investment on the ecological footprint in weak, medium, and high levels of institutional quality countries. This study is probably one of the first studies to examine the effect of the economic complexity on ecological footprint and classify countries based on their institutional quality levels. Furthermore, the interaction of economic complexity and natural resources is considered a new variable. For this purpose, the panel vector autoregressive model is used. The results revealed that economic complexity in all countries has a positive impact on ecological footprint, and also it has the greatest impact on ecological footprint among the considered variables. Conversely, the interaction of economic complexity and natural resources contributes to environmental quality. Notably, the impacts of study variables on ecological footprint are more robust in a medium level of institutional quality countries. According to the study's outcomes, the main recommendation is the R&D activities improvement to develop environmentally friendly technologies and clean energy infrastructure to improve environmental quality.
Spatiotemporal Changes in Precipitation Concentration Indicators Over Iran
Authors: Darand Mohammad , Pazhoh Farshad 
Published: December 2021

Abstract
This study was conducted to investigate the spatiotemporal variability in precipitation concentration over Iran. For that purpose, daily precipitation data with a spatial resolution of 0.25° × 0.25° from the Asfazari database for the period from 01/01/1962 to 31/12/2019 were used. Three indices including the precipitation concentration index (PCI), precipitation concentration period (PCP), and precipitation concentration degree (PCD) were utilized for examination of the variability in precipitation concentration over the country. The results demonstrated that the central, south-eastern, and eastern parts of the country exhibited maximum temporal precipitation concentration, while the least precipitation concentration could be observed over the Caspian coasts and the northern half of the country. The year 1998 was selected as the change point due to the considerable difference in the values of the examined indices, and the long-term statistical period was divided into two sub-periods before and after the change. During the sub-period after the change point (1999-2019), precipitation concentration has increased in the western, central, eastern, and south-eastern parts of Iran, according to PCI and PCD, and has decreased in the North and Northeast and along the northern coastline of Oman Sea. Furthermore, there have been great spatial differences in the period of occurrence of precipitation along the Northern coasts, according to PCP, varying from November, along the Caspian coasts, to August, along the northern foothills of Alborz Mountains. The PCP index has increased during the sub-period after the change point along the northern coastlines of Persian Gulf and Oman Sea and in parts of the North (along Alborz Mountains), indicating a shift in the period of precipitation from winter to the warm seasons of spring and summer. Moreover, the decrease in PCP in the Northwest and Northeast suggested that the period of occurrence of precipitation has shifted from the second half of winter toward early winter and late fall. After the year of change point, the frequency of rainy days and precipitation have decreased, and PCI and PCD have increased.
The Effects of Replacing Dry Forage With Corn Silage on Milk Yield, Composition and Fatty Acids’ Profiles, Blood Metabolites, Nitrogen Balance, and Rumen Fermentation Parameters in Mahabadi Lactating Goats
Authors: Sarabi Shohre Tarverdi , Fattah Amir , Papi Nader , Mahmoudabad Seyyed Roohollah Ebrahimi 
Published: December 2021

Abstract
The authors have requested that this preprint be removed from Research Square.
CYP19A1 mediated sex hormone metabolism promotes severe SARS-CoV-2 disease outcome in males.
Authors: Stanelle-Bertram Stephanie , Beck Sebastian , Kouassi Nancy Mounogou , Schaumburg Berfin , Stoll Fabian , Bai Tian , Zickler Martin , Beythien Georg , Becker Kathrin , Roi Madeleine de la , Heinrich Fabian , Schulz Claudia , Sauter Martina , Krasemann Susanne , Lange Philine , Heinemann Axel , Riel Debby van , Leijten Lonneke , Bauer Lisa , Bosch Thierry P.P. van den , Lopuhaä Boaz , Busche Tobias , Wibberg Daniel , Schaudien Dirk , Goldmann Torsten , Jania Hanna , Müller Zacharias , Reis Vinicius Pinho dos , Krump-Buzumkic Vanessa , Wolff Martin , Fallerini Chiara , Frullanti Elisa , Norwood Katrina , von Köckritz-Blickwede Maren , Schroeder Maria , Jarczak Dominik , Nierhaus Axel , Welte Tobias , Kluge Stefan , McHardy Alice C. , Study GEN-COVID Multicenter , Renieri Alessandra , Sommer Frank , Kalinowski Jörn , Krauss-Etschmann Susanne , Thüsen Jan von der , Ondruschka Benjamin , Baumgärtner Wolfgang , Klingel Karin , Guelsah Gabriel 
Published: December 2021

Abstract
Male sex belongs to one of the major risk factors for severe COVID-19 outcome. However, underlying mechanisms that could affect sex dependent disease outcome are yet unknown. Here, we identified the CYP19A1 gene encoding for the testosterone-to-estradiol metabolizing enzyme CYP19A1 (alias aromatase) as a male abundant host factor that contributes to worsened disease outcome in SARS-CoV-2 infected male hamsters. Pulmonary CYP19A1 transcription is further elevated upon viral infection in males correlating with reduced testosterone and increased estradiol levels. Dysregulated circulating sex hormone levels in male golden hamsters are associated with reduced lung function compared to females. Treatment of SARS-CoV-2 infected hamsters with letrozole, a clinically approved CYP19A1 inhibitor, supported recovery of dysregulated plasma sex hormone levels and was associated with improved lung function and health in male but not female animals compared to placebo controls. Whole human exome sequencing data analysis using a Machine Learning approach revealed a CYP19A1 activity increasing mutation being associated with the development of severe COVID-19 for men. In human autopsy-derived lungs CYP19A1 was expressed to higher levels in men who died of COVID-19, at a time point when most viral RNA was cleared. Our findings highlight the role of the lung as a yet unrecognized but critical organ regulating metabolic responses upon respiratory virus infection. Furthermore, inhibition of CYP19A1 by the clinically approved drug letrozole may pose a new therapeutic strategy to reduce poor long-term COVID-19 outcome.