bluuebunny/crossref_metadata_2025_split huggingface dataset:
How race, sex and age interact in association with COVID-19 outcomes over time: An analysis of Michigan data
Authors: Nguemeni Tiako Max Jordan , Browne Alyssa 
Published: August 2023

Background
COVID-19 has had a disproportionate impact on racial and ethnic minorities compared to White people. Studies have not sufficiently examined how sex and age interact with race/ethnicity, and potentially shape COVID-19 outcomes. We sought to examine disparities in COVID-19 outcomes by race, sex and age over time, leveraging data from Michigan, the only state whose Department of Health and Human Services (DHSS) publishes cross-sectional race, sex and age data on COVID-19.

Methods
This is an observational study using publicly available COVID-19 data (weekly cases, deaths, and vaccinations) from August 31 2020 to June 9 2021. Outcomes for descriptive analysis were age-standardized COVID-19 incidence and mortality rates, case-fatality rates by race, sex, and age, and within-gender and within-race incidence rate ratios and mortality rate ratios. We used descriptive statistics and linear regressions with age, race, and sex as independent variables.

Results
The within-sex Black-White racial gap in COVID-19 incidence and mortality decreased at a similar rate among men and women but the remained wider among men. As of June 2021, compared to White people, incidence was lower among Asian American and Pacific Islander people by 2644 cases per 100,000 people and higher among Black people by 1464 cases per 100,000 people. Mortality was higher among those aged 60 or greater by 743.6 deaths per 100,000 people vs those 0–39. The interaction between race and age was significant between Black race and age 60 or greater, with an additional 708.5 deaths per 100,000 people vs White people aged 60 or greater. Black people had a higher case fatality rate than White people.

Conclusion
COVID-19 incidence, mortality and vaccination patterns varied over time by race, age and sex. Black-White disparities decreased over time, with a larger effect on Black men, and Older Black people were particularly more vulnerable to COVID-19 in terms of mortality. Considering different individual characteristics such as age may further help elucidate the mechanisms behind racial and gender health disparities.
The efficacy and safety of sodium tanshinone ⅡA sulfonate injection in the treatment of unstable angina pectoris: A systematic review and meta-analysis
Authors: Wu Xiaoqi , Fan Maoxia , Wei Sining , Guo Dong 
Published: August 2023

Objective
To systematically evaluate the efficacy and safety of Sodium tanshinone ⅡA sulfonate injection (STS) in the treatment of unstable angina pectoris (UAP).

Methods
CNKI, Wanfang, VIP, CBM, PubMed, Cochrane Library, Web of Science, Embase were searched by computer. The research covers the clinical randomized controlled trials of STS in the treatment of unstable angina pectoris published from the establishment of the library to January 31, 2023. Two researchers independently screened the literature, extracted data and evaluated the risk of research bias, and then conducted meta-analysis with RevMan5.3 software.

Results
A total of 37 randomized controlled trials were included, involving 3926 patients in total. Meta analysis results showed that, compared with conventional western medicine alone, STS combined with conventional western medicine could reduce the frequency (SMD = -2.61, 95%CI[-4.27, -0.96], P = 0.002) and duration (SMD = -4.01, 95%CI[-6.18, -1.84], P = 0.0003) of angina pectoris, improve ECG efficacy (OR = 3.61, 95%CI[2.79, 4.68], P<0.00001) and clinical symptom efficacy (OR = 4.02, 95%CI[3.32, 4.87], P<0.00001), reduce TG(SMD = -0.60, 95%CI[-1.04, -0.16], P = 0.008), TC(SMD = -3.86, 95%CI[-6.37, -1.34], P = 0.003), and LDL-C(SMD = -1.54, 95%CI[-2.67, -0.42], P = 0.007), decrease plasma viscosity(SMD = -1.02, 95%CI[-1.58, -0.47], P<0.0003), whole blood low shear viscosity(SMD = -0.85, 95%CI[-1.21, -0.49], P<0.00001), whole blood high shear viscosity(SMD = -0.82, 95%CI[-1.44, -0.20], P = 0.009), and erythrocyte aggregation index(SMD = -1.00, 95%CI[-1.75, -0.25], P = 0.009), and bring down CRP(SMD = -1.39, 95%CI[-1.91, -0.86], P<0.00001). The incidence of adverse reactions in the treatment group was higher than that in the control group (OR = 2.26, 95%CI[1.06, 4.85], P = 0.04). Neither of the two groups suffered from abnormal liver and kidney function during the study process.

Conclusion
STS combined with routine treatment has a definite clinical efficacy and certain safety in the treatment of UAP, but it needs to be further confirmed by high-quality and low-bias randomized controlled trials in the future.
Developing a South African curriculum for education in neonatal critical care retrieval: An initial exploration
Authors: Williams W. , Theron E , Khan W , Stassen W 
Published: August 2023

Background
Owing to limited or centralised neonatal critical care resources, the interfacility transfer of neonates is inevitable. In many high-income settings, dedicated Critical Care Retrieval Services (CCRS) with additional education and training undertake neonatal critical care retrieval (CCR). In South Africa, however, these transfers are mostly conducted by advanced paramedics with limited education in neonatal care, and this may lead to high adverse event rates. In SA, a shortage of skilled neonatal interfacility transport services has been identified as one of the top ten avoidable causes of under-5 mortality. In order to address this gap in neonatal transfer education for paramedics in South Africa, the aim of this study is to develop a curriculum for neonatal critical care retrieval in South Africa.

Methods
Using Kern’s approach to curriculum development, a general and targeted needs assessment was conducted through semi-structured interviews with experts in the field and a focus group discussion with a prospective student group. Interviews were preceded and informed by a literature review and retrospective chart review of neonates who underwent CCR in SA over a one-year period. Audio recordings of interviews were transcribed verbatim and subjected to inductive-dominant content analysis. Finally, qualitative codes were expanded into course outcome and a curriculum map was developed.

Results
Six experts in neonatal critical care and retrieval participated in semi-structured interviews with a mean duration of 59 minutes. Following transcription and analysis, 372 codes were developed. Seven prehospital providers (prospective students) who are involved in neonatal transfers in South Africa participated in a focus group discussion with a duration of 91 minutes. The audio recording was transcribed and analysed with 97 codes extracted. The main categories were: Current status of neonatal CCR in South Africa; learning and education in neonatal CCR; and proposed curriculum structure. The proposed curriculum structure described 13 broad course outcomes to be delivered as a blended postgraduate programme. Participants noted that funding, employer buy-in and internet resources would be required. The targeted prospective student group should be all Advanced Life Support (ALS) providers with a change in their scope of practice on completion.

Conclusion
This study described the need for additional education in neonatal critical care retrieval due to the limitations in the current and past education systems. This study provides a curriculum structure with course outcomes that can be used as a basis for the development of a complete curriculum for education in neonatal CCR, with the potential to greatly reduce adverse event rates.
Electrochemical Performance of Flower-like ZnO Nanostructure Crystal for Supercapacitor Electrode Applications
Authors: S Nelson Amirtharaj , M Mariappan , V Beaula premavathi 
Published: August 2023

straightforward, easy and low-cost process using cetyltrimethylammonium bromide (CTAB) as a templated sonochemical production method was used to prepare ZnO nanostructures with the appearance of flowers. The morphological characteristics of ZnO materials have a more significant impact on variables like the CTAB template and sonochemical reaction time. The advantage of the flower-like ZnO materials is the more active reaction centre, which improves redox processes and results in outstanding electrochemical attributes like greater specific capacitance, excellent rate capability and better cyclic stability. The specific capacitance of the flower-shaped ZnO nanostructures (ZnO-2) from the cyclic voltammetric (CV) analysis was found to be 425 F g–1 at a scan rate of 5 mV s–1 and the charge/discharge study renders the specific capacitance is 426 F g–1 at a current density of 1 Ag–1. After 3000 CV cycles at a scan rate of 100 mV s–1, 89% of the initial capacitance still was retained in the long-term cyclic stability analysis. The distinctive flower-like ZnO nanostructures can be extended more for supercapacitor device applications.
Development and Validation of Chemometric Assisted UV Spectroscopic Methods for the Simultaneous Determination of Amitriptyline Hydrochloride and Propranolol Hydrochloride in Marketed Formulation
Authors: PALUR KEERTHISIKHA , CHARAN ARCHAKAM SREENIVASA , PATAKAM PRIYANKA , ORUPALLI KAVYA , YADAVALI PADMAJA , POTHAPALA YOGESWAR , DIVITI RANGANAYAKULU 
Published: August 2023

The present work discusses the development and validation of chemometric assisted UV spectroscopic methods for analyzing two drugs amitriptyline hydrochloride and propranolol hydrochloride in their marketed formulation. The developed methods are two prominent chemometric models namely, principal component regression (PCR) and partial least squares regression (PLS) on which several research articles have been published for their immense contribution in the quantification of multi-component formulations. Linearity of the UV spectroscopic method was in the concentration ranges of 3-15 μg/mL of amitriptyline hydrochloride and 5-45 μg/mL of propranolol hydrochloride. The PCR and PLS chemometric models were established by employing fourteen mixtures as a calibration set and five mixtures as a validation set and were executed in the wavelength range of 240-320 nm with data interval of 5 nm. The statistical parameters obtained from both the methods revealed their validity and hence allows their suitability for analysis in regular quality control laboratories.
Hepatobiliary surgery based on intelligent image segmentation technology
Authors: Wang Fuchuan , Xiao Chaohui , Jia Tianye , Pan Liru , Du Fengxia , Wang Zhaohai 
Published: August 2023

Abstract
Liver disease is an important disease that seriously threatens human health. It accounts for the highest proportion in various malignant tumors, and its incidence rate and mortality are on the rise, seriously affecting human health. Modern imaging has developed rapidly, but the application of image segmentation in liver tumor surgery is still rare. The application of image processing technology represented by artificial intelligence (AI) in surgery can greatly improve the efficiency of surgery, reduce surgical complications, and reduce the cost of surgery. Hepatocellular carcinoma is the most common malignant tumor in the world, and its mortality is second only to lung cancer. The resection rate of liver cancer surgery is high, and it is a multidisciplinary surgery, so it is necessary to explore the possibility of effective switching between different disciplines. Resection of hepatobiliary and pancreatic tumors is one of the most challenging and lethal surgical procedures. The operation requires a high level of doctors’ experience and understanding of anatomical structures. The surgical segmentation is slow and there may be obvious complications. Therefore, the surgical system needs to make full use of the relevant functions of AI technology and computer vision analysis software, and combine the processing strategy based on image processing algorithm and computer vision analysis model. Intelligent optimization algorithm, also known as modern heuristic algorithm, is an algorithm with global optimization performance, strong universality, and suitable for parallel processing. This algorithm generally has a strict theoretical basis, rather than relying solely on expert experience. In theory, the optimal solution or approximate optimal solution can be found in a certain time. This work studies the hepatobiliary surgery through intelligent image segmentation technology, and analyzes them through intelligent optimization algorithm. The research results showed that when other conditions were the same, there were three patients who had adverse reactions in hepatobiliary surgery through intelligent image segmentation technology, accounting for 10%. The number of patients with adverse reactions in hepatobiliary surgery by conventional methods was nine, accounting for 30%, which was significantly higher than the former, indicating a positive relationship between intelligent image segmentation technology and hepatobiliary surgery.
The early diagnosis and pathogenic mechanisms of sepsis-related acute kidney injury
Authors: Wei Wei , Zhao Yibo , Zhang Yan , Shou Songtao , Jin Heng 
Published: August 2023

Abstract
Sepsis is a syndrome caused by an imbalance in the inflammatory response of the body caused by an infection that leads to organ dysfunction, with the kidney being one of the most commonly affected organs. Sepsis-related acute kidney injury (SAKI) is strongly linked to increased mortality and poor clinical outcomes. Early diagnosis and treatment can significantly reduce patient mortality. On the other hand, the pathogenesis of SAKI is not fully understood, and early diagnosis of SAKI is a clinical challenge. Therefore, the current review describes biomarkers of acute kidney injury in sepsis and discusses the various pathogenic mechanisms involved in the progression of acute kidney injury in sepsis to develop new clinical treatment avenues.
A novel statistical modeling of air pollution and the COVID-19 pandemic mortality data by Poisson, geometric, and negative binomial regression models with fixed and random effects
Authors: İyit Neslihan , Sevim Ferhat 
Published: August 2023

Abstract
The coronavirus disease 2019 (COVID-19) pandemic was defined by the World Health Organization (WHO) as a global epidemic on March 11, 2020, as the infectious disease that threatens public health fatally. In this study, the main aim is to model the impact of various air pollution causes on mortality data due to the COVID-19 pandemic by Generalized Linear Mixed Model (GLMM) approach to make global statistical inferences about 174 WHO member countries as subjects in the six WHO regions. “Total number of deaths by these countries due to the COVID-19 pandemic” until July 27, 2022, is taken as the response variable. The explanatory variables are taken as the WHO regions, the number of deaths from air pollution causes per 100.000 population as “household air pollution from solid fuels,” “ambient particulate matter pollution,” and “ambient ozone pollution.” In this study, Poisson, geometric, and negative binomial (NB) regression models with “country” taken as fixed and random effects, as special cases of GLMM, are fitted to model the response variable in the aspect of the above-mentioned explanatory variables. In the Poisson, geometric, and NB regression models, Iteratively Reweighted Least Squares parameter estimation method with the Fisher-Scoring iterative algorithm under the log-link function as canonical link function is used. In the GLMM approach, Laplace approximation is also used in the prediction of random effects. In this study, six different Poisson, geometric, and NB regression models with fixed and random effects are established for 174 countries all over the world to make global statistical inferences for investigating the relationships between “total number of deaths” by these countries due to the COVID-19 pandemic and “air pollution causes.” As a result of this study, “NB mixed-effects regression model” as the most appropriate GLMM is used to make global statistical inferences about the impact of the various air pollution causes on the mortality data due to the COVID-19 pandemic.
On liftings of modular forms and Weil representations
Authors: Strömberg Fredrik 
Published: August 2023

Abstract
We give an explicit construction of lifting maps from integral and
half-integral modular forms to vector-valued modular forms for Weil
representations associated with arbitrary isotropic subgroups and
finite quadratic modules of even and odd signature. This construction
provides an explicit and general extension of previous work by Scheithauer and Zhang.
Assessing the performance of IRI-2016 and IRI-2020 models using COSMIC-2 GNSS radio occultation TEC data under different magnetic activities over Egypt
Authors: Sherif Ahmed , Rabah Mostafa , Mousa Ashraf ElKutb , Zaki Ahmed , Sedeek Ahmed 
Published: August 2023

Abstract
Variations in Total Electron Content (TEC) between the COSMIC-2, IRI-2016, and IRI-2020 are considered under different levels of geomagnetic storm activity: minor, moderate, and severe. TEC values are scrutinized at three levels of the Kp index, which serves as a metric for gauging the strength of a magnetic storm (Kp = 3.0, Kp = 6.0, Kp = 8.0) and across four-time intervals throughout 24 h to understand the performance of the models during both day and night-time conditions. Statistical analysis reveals that the standard deviation of TEC variations is lower during minor storms than moderate and severe. The comparison of variations between COSMIC-2 Radio Occultation TEC and both IRI-2016 and IRI-2020 models revealed more substantial discrepancies during day-time intervals; This was likely attributed to the dynamic and complex nature of the ionosphere influenced by solar radiation and other factors. Comparative analysis across the three levels of storm activity demonstrated that IRI2020 provided improved results over IRI2016, particularly during minor geomagnetic storm events. The study demonstrates that IRI2020 is more accurate than IRI-2016 at forecasting ionospheric conditions, especially at night and during moderate geomagnetic storm activity periods. Both models, however, provide valuable insights during challenging space weather conditions, and the results demonstrate their utility in understanding and forecasting the ionosphere’s behavior. The results yield valuable insights into space weather conditions and their effects on technology and communication, highlighting the potential for further improvement in TEC prediction models.
Assessment of the OTEC cold water pipe design under bending loading: A benchmarking and parametric study using finite element approach
Authors: Adie Prayoga Wira , Adiputra Ristiyanto , Prabowo Aditya Rio , Erwandi Erwandi , Muttaqie Teguh , Muhayat Nurul , Huda Nurul 
Published: August 2023

Abstract
Ocean thermal energy conversion (OTEC) is a floating platform that generates electricity from seawater heat. The cold water pipe (CWP) used in OTEC has a length of 1,000 m and a diameter of 10 m, making it susceptible to bending loads from ocean currents. To find suitable geometry and material for the CWP, the finite element method was used to model the real-world geometry. In the D/t variation, lower ratios (increased thickness) result in higher critical moments, maximum stress, strain, and displacement. D/t 50 was chosen for the CWP. In the L/D variation, the critical moment’s impact on L/D ratio was minimal, while reducing L/D (shorter pipe) increased strain, and larger L/D geometries had higher displacements. L/D 10 was selected as it balanced critical moments and reduced the number of stiffeners needed. For diameter size variation, larger diameters increased critical moment and strain, but smaller diameters (larger L/D ratios) also showed high strain due to necking at two points. A diameter of 12 m was chosen for its exceptionally high critical moment. Steel was selected as the suitable material due to its higher critical moment and maximum stress, despite its higher weight and lower maximum strain than composites. Capital shape imperfections had a minimal effect on the CWP’s structure as they were localized.
Beltran-Serrano v. City of Tacoma
Authors: Swan Sarah L. 
Published: August 2023

Abstract
In Tacoma, Washington, on a late June afternoon in 2013, a police officer brutally shot an unarmed, mentally-ill, middle-aged homeless man four times in the back with a Glock 45. He was not a suspect in any criminal wrongdoing, and horrified eyewitnesses confirmed that he was not posing a threat to anyone, including the officer, at the time of the shooting. The victim, Cesar Beltran-Serrano, survived, and subsequently sued the city for his injuries.
The case eventually landed at the Washington Supreme Court, where the court was asked to resolve two separate legal issues: does the public duty doctrine immunize localities from liability when an officer has affirmatively acted (rather than just failed to act), and can a police officer who intentionally shoots a person be liable in both negligence and intentional tort.
The court found in favor of the plaintiff on both issues. In so doing, the court created a viable and accessible path towards greater police accountability. On this basis alone, the decision deserves a spot in this symposium issue on the Great Tort Cases of the 21st Century. Yet the case does still more: its holdings are important not just for plaintiffs bringing claims against police, but for parties in cases far beyond the police/city context. Most notably, the issue of whether negligence can co-exist with intentional assault and battery claims is of particular importance to sexual assault tort litigation and potentially opens pathways for other contexts as well. The dual holdings in Beltran-Serrano thus hold much promise for those seeking social justice through tort law.
Concept of inverted refractive-index-contrast grating mirror and exemplary fabrication by 3D laser micro-printing
Authors: Pruszyńska-Karbownik Emilia , Jandura Daniel , Dems Maciej , Zinkiewicz Łukasz , Broda Artur , Gębski Marcin , Muszalski Jan , Pudiš Dušan , Suffczyński Jan , Czyszanowski Tomasz 
Published: August 2023

Abstract
Highly reflective mirrors are indispensable components in a variety of state-of-the-art photonic devices. Typically used, bulky, multi-layered distributed Bragg (DBR) reflectors are limited to lattice-matched semiconductors or nonconductive dielectrics. Here, we introduce an inverted refractive index-contrast grating (ICG) as compact, single-layer alternative to DBR. In the ICG, a subwavelength one-dimensional grating made of a low-refractive-index material is implemented on a high-refractive-index cladding. Our numerical simulations show that the ICG provides nearly total optical power reflectance for the light incident from the side of the cladding whenever the refractive index of the grating exceeds 1.75, irrespective of the refractive index of the cladding. Additionally, the ICG enables polarization discrimination and phase tuning of the reflected and transmitted light, the property not achievable with the DBR. We experimentally demonstrate a proof-of-concept ICG fabricated according to the proposed design, using the technique of sub-µm 3D laser lithography in which thin stripes of IP-Dip photoresist are micro-printed on a Si cladding. This one-step method avoids laborious and often destructive etching-based procedures for grating structuration, making it possible to implement the grating on any arbitrary cladding material.