bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association Between Blood Selenium with Parkinson’s Disease in the US (NHANES 2011-2020)
Authors: Zeng Zhaohao , Cen Yanmei , Luo Xiaoguang 
Published: January 2023

Abstract
Background
It has been reported in previous studies that blood selenium is associated with Parkinson’s disease (PD), however, this association is still controversial. The purpose of this cross-sectional study was to assess the association between blood selenium and PD in U.S. adults.
Methods
A cross-sectional study of 54,674 adults aged over 40 years old was conducted using the 2010–2022 NHANES data. To analyze the association between blood selenium and PD, logistic regression, and multivariate logistic regression were used. The restricted cubic spline (RCS) model was additionally utilized to check the dose-response relationships between blood selenium and PD.
Results
A total of 15,660 participants were included in this study, and we found that blood selenium was negatively associated with the occurrence of PD [OR: 0.38(0.17, 0.85)] (P < 0.05). We observed consistent results between blood selenium and PD in three statistical models.
Conclusion
PD patients have lower blood selenium than non-PD patients. Higher levels of blood selenium may be a protective factor for PD. Further prospective studies are warranted to investigate the effect of blood selenium in patients with PD.
Cybernetic Model Dependency Productivity and Economics Growth from Taxes
Authors: Abrukin Yury 
Published: January 2023

Abstract
The concept of dependency productivity of the workforce from production, distribution and consumption taxes was developed and complemented by the motivation of business owners to obtain productivity as the main resource of functioning business - profit by access to the same source of motivation – taxes. This work attempts to formulate this concept in terms of the theory of control by developing a cybernetic model of the process and setting the ground to build the mathematical model. It is based on creation block diagram closed – loop feedback control system on production and state level for two main output parameters – productivity and economic growth. This allows us to find the link between these two output parameters (from the production and state levels) which are the taxes.
JEL: 040, 047
Impacts of baseline biomarkers on cognitive trajectories in subjective cognitive decline: The CoSCo prospective cohort study
Authors: Hong Yun Jeong , Ho SeongHee , Jeong Jee Hyang , Park Kee Hyung , Kim SangYun , Wang Min Jeong , Choi Seong Hye , Yang Dong Won 
Published: January 2023

Abstract
Background
Subjective cognitive decline (SCD) is a risk factor for Alzheimer's disease (AD); however, the rates of cognitive decline are variable according to underlying pathologies and biomarker status. We conducted an observational study and aimed to investigate baseline characteristics and biomarkers related with cognitive declines in SCD. Our study also assessed whether SCD participants showed different cognitive and biomarker trajectories according to baseline amyloid deposition.
Methods
This study is a part of a longitudinal cohort study conducted in multi-centers in South Korea between 2018 and 2021. Individuals (≥60 years old) with persistent cognitive complaint despite of normal cognitive functions were eligible for the study. All participants underwent neuropsychological tests, florbetaben PET scans, plasma amyloid markers, and brain MRI scans. Annual follow-up evaluations included neuropsychological tests and assessments for clinical progressions. Regional brain volumetry and amyloid burden represented by PET-based standardized uptake value ratio (SUVR) were measured. We compared cognitive and brain atrophic changes over 24 months between amyloid positive-SCD (Aβ+SCD) and amyloid negative-SCD (Aβ-SCD) groups. Baseline factors associated with cognitive outcomes were investigated.
Results
A total of 120 participants with SCD were enrolled and 107 completed follow-up evaluations. Aβ+SCD participants (n=20, 18.5%) were older and more frequently APOE4 carriers compared with Aβ-SCD participants (n=87). Baseline cognitive scores were not different between the two groups, except the Seoul Verbal Learning Test (SVLT) scores showing lower scores in the Aβ+SCD group. After 24 months, plasma amyloid markers were higher, and regional volumes (entorhinal, hippocampal, and pallidum) were smaller in the Aβ+SCD participants compared with Aβ-SCD participants adjusted by age, sex, and baseline volumes. SVLT delayed recall and controlled oral word association test (COWAT) scores indicated more declines in Aβ+SCD participants. Baseline left entorhinal volumes were related to verbal memory decline, while baseline frontal volumes and global SUVR values were related to frontal functional decline.
Conclusion
Aβ+SCD participants showed more cognitive decline and medial temporal atrophic changes during 24 months. Baseline neurodegeneration and amyloid burden were related with future cognitive trajectories in SCD.
Trial registration: This study was registered at CRIS (KCT0003397).
Prognostic Value and Model Construction of Preoperative Inflammatory Markers in Patients with Metastatic Renal Cell Carcinoma
Authors: Wang Jichen , Ye Jiali , Zhao Xupeng , Li Xiubin , Ma Xin 
Published: January 2023

Abstract
Purpose: Inflammation is considered to be one of the driving factors of cancer, and chronic inflammation plays a crucial role in tumor growth and metastasis. In this study, the aim was to study the predictive value of preoperative inflammatory biomarkers including preoperative neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and aspartate aminotransferase-to-lymphocyte ratio (ALR) which was a novel inflammatory biomarker, for overall survival (OS) in patients with metastatic renal cell carcinoma (mRCC).
Method: This study included a total of 198 patients with mRCC from a single center from 2006 to 2022. The optimal cut-off levels of the three biomarkers were calculated by using the receiver operating characteristic curve (ROC). The patients were divided into two groups (high and low values) according to the cut-off level, and the difference between them was analyzed and compared by the Kaplan-Meier curve. Cox univariate and multivariate analyzes were used to assess independent prognostic inflammatory biomarkers. Finally, independent prognostic inflammatory biomarkers were incorporated into the prognostic model to establish a nomogram to predict the postoperative survival of patients with mRCC.
Result: The optimal cut-off level of NLR evaluated by the ROC curve was 3.836, LMR was 3.106, and ALR was 68.056. Patients with NLR and ALR higher than the cut-off level and LMR lower than the cut-off level were significantly related to OS. Multivariate analysis showed that lower LMR and higher ALR were independent risk factors for OS. In addition, a nomogram can accurately predict the OS in patients with mRCC.
Conclusion：ALR and LMR are independent risk factors for the prognosis of patients with mRCC. By monitoring ALR and LMR after operation, the prognosis of patients with mRCC can be better evaluated.
Comparing the Efficiency of Hospitals in Northern Iran Before and After the Covid-19 Pandemic Using the Pabon Lasso Model
Authors: Abedi Ghasem , Tavana Mozhgan , Malekzadeh Roya , Abedini Ehsan 
Published: January 2023

Abstract

Background
The Pabon Lasso Model is often used to assess the efficiency of hospitals as the most important component of the health system. The present study sought to evaluate and compare the efficiency of hospitals in northern Iran before and after the COVID-19 pandemic using the Pabon Lasso Model.
Methods
This descriptive study was conducted in 40 public, private, and social security hospitals in northern Iran from 2019 to 2020. The data were collected using the forms approved by the Ministry of Health and Education. Besides, the three indices of bed occupancy rate, bed turnover frequency, and the average length of stay were calculated and plotted using the Pabon Lasso graphs. The collected data were analyzed using the paired samples t-test.
Results
The average bed occupancy rates in 2019 and 2020 were equal to 67.72% and 52.28%, lower than the national standard rate. Moreover, the average lengths of stay were 2.58 and 2.83 days and the bed turnover rates were 96.7 and 77.94, higher than the national standard rate. Of the total 36 hospitals in 2019, 33.3% of hospitals were in the first quarter (low efficiency), and 16.6% in the third quarter (high efficiency). Furthermore, the data for 2020 indicated that 38.8% of hospitals were in the first quarter (low efficiency), showing an increase compared to 2019 and 19.4% of hospitals were in the third quarter, indicating a decrease compared to 2019.
Conclusion
The data confirmed that the average length of stay and bed turnover in the studied hospitals were favorable. In addition, unlike private hospitals, the number of efficient units in public hospitals decreased during the COVID-19 pandemic. Thus, hospital managers need to pay more attention to improving performance indicators and increasing productivity in these hospitals.
Association of Diabetes Mellitus and Glycemic Control with Left Ventricular Function and Deformation in Patients after Acute Myocardial Infarction: A 3T Cardiac Magnetic Resonance Study
Authors: Gao Yue , Shi Rui , Li Yuan , Guo Ying-kun , Xu Hua-Yan , Shi Ke , Yang Zhi-gang 
Published: January 2023

Abstract
Background
Diabetes mellitus (DM) is considered a major risk factor for myocardial infarction (MI), and MI patients with DM have a poor prognosis. Accordingly, we aimed to investigate the additive effects of DM on LV deformation in patients after acute MI.
Materials and methods
One hundred thirteen MI patients without DM [MI (DM−)], 95 with DM [MI (DM+)] and 71 control subjects who underwent cardiovascular magnetic resonance scanning were included. LV function, infarct size and LV global peak strains in the radial, circumferential and longitudinal directions were measured. MI (DM+) patients were divided into two subgroups based on the HbA1c level (< 7.0% and ≥ 7.0%). The determinants of reduced LV global myocardial strain for all MI patients and MI (DM+) patients were assessed using multivariable linear regression analyses.
Results
Compared with control subjects, both MI (DM −) and MI (DM+) patients presented higher LV end-diastolic and end-systolic volume index and lower LV ejection fraction. LV global peak strains progressively declined from the control group to the MI(DM−) group to the MI(DM+) group (all p < 0.05). Subgroup analysis showed that LV global radial PS and longitudinal PS were worse in MI(MD+) patients with poor glycemic control than in those with good glycemic control (all p < 0.05). DM was an independent determinant of impaired LV global peak strain in radial, circumferential and longitudinal directions in patients after acute MI (β=-0.166, 0.164 and 0.262, both p < 0.05). The HbA1c level was independently associated with a decreased LV global radial PS (β = − 0.228, p = 0.026) and longitudinal PS (β = 0.221, p = 0.010) in MI (DM+) patients.
Conclusions
DM has an additive deleterious effect on LV function and deformation in patients after acute MI, and HbA1c was independently associated with impaired LV myocardial strain.
Effective DC source for Power engineering and electric mobility
Authors: chandrasekaran deepalakshmi 
Published: January 2023

Abstract
In linear integrated circuits, Opamp plays the vital role in the implementation of DC voltage amplification ,operational amplifier is mostly used in noninverting configuration. In this case, the feedback resistor is replaced by a capacitor to do the same function. Since capacitor acts as an open circuit for DC signal, it also provides isolation between input and output. The amplified voltage level is limited by the breakdown voltage of the transistors used to build Opamp and further the insulation breakdown limit of the capacitor. By making use of new technologies as silicon carbide technology is now in progress, the breakdown voltage of transistors can be made higher combined with high voltage engineering for capacitive insulation, this can be the beginning of the possibility for huge DC power generation beyond Analog Electronics.
On the Accuracy of Microcomb-based Photonic RF Transversal Signal Processors
Authors: Moss David 
Published: January 2023

Abstract
Photonic RF transversal signal processors, which are equivalent to reconfigurable electrical digital signal processors but implemented with photonic technologies, have been widely used for modern high-speed information processing. With the capability of generating large numbers of wavelength channels with compact micro-resonators, optical microcombs bring new opportunities for realizing photonic RF transversal signal processors that have greatly reduced size, power consumption, and complexity. Recently, a variety of signal processing functions have been demonstrated using microcomb-based photonic RF transversal signal processors. Here, we provide detailed analysis for quantifying the processing accuracy of microcomb-based photonic RF transversal signal processors. First, we investigate the theoretical limitations of the processing accuracy determined by tap number, signal bandwidth, and pulse waveform. Next, we discuss the practical error sources from different components of the signal processors. Finally, we analyze the contributions of the theoretical limitations and the experimental factors to the overall processing inaccuracy both theoretically and experimentally. These results provide a useful guide for designing microcomb-based photonic RF transversal signal processors to optimize their accuracy.
Assessment of Cost and Diabetes Management Due to Polypharmacy in Iran Based on Haemoglobin A1c Levels, A Cross Sectional National Study
Authors: Daneshmand Mojdeh , Farzadfar Farshad , Jamshidi Hamidreza , Mortazavi Seyede Salehe , Shati Mohsen , Farjoo Mohammad Hadi 
Published: January 2023

Abstract
Background
Patients with diabetes often receive multiple drug regimens termed ‘polypharmacy’. Since polypharmacy imposes excessive cost, we evaluated the prescriptions of patients with diabetes regarding polypharmacy, and its association with HbA1c levels and cost.
Method
102 million prescriptions of Iranian health insurance data in 2015 and 2016 were overlapped with STEPS Iran 2016 survey database. Then, 2075 Metabolic syndrome patients were selected. Among the patients who consumed anti diabetes medications; individual and sociodemographic factors, and polypharmacy were assessed and association between these factors and HbA1c levels were quantified using logistic regression. Each patient’s prescription costs in 2015 and 2016 and its association with individual and sociodemographic factors as well as polypharmacy was assessed using linear regression.
Results
Out of 2075 metabolic syndrome patients, 205 patients had diabetes according to their fasting blood glucose in 2015 and 2016. HbA1c was significantly more controlled (≤7%) in urban areas. No significant association existed between polypharmacy and HbA1c levels. Medication cost was significantly higher in male patients, patients above 80 years, and patients with >12 years of education (p< 0.05). Area of living and wealth index had no significant association with cost.
Conclusion
Although diabetic patients with polypharmacy significantly pay more money for their prescriptions, no significant difference was observed between their HbA1c levels.
On some new identities of hyperbolick-Fibonacci and k-Lucas Quaternions
Authors: Godase A. D. 
Published: January 2023

Abstract
In this paper, we establish some particular identities consistingof k-Fibonacci quaternions and k-Lucas quaternions. The identities ofk-Fibonacci and k-Lucas quaternions are derived by making use of someproperties of k-Fibonacci and k-Lucas numbers.
Mathematics Subject Classification (2010). Primary 11B39; Secondary 11B37, 11B52.
Evaluation of the source, distribution and risk of metal contaminated stream sediment.
Authors: Areguamen Omole Isaac , Ekwumengbo Patricia , Omoniyi Israel , Okunola Oluwole Joshua , Abdulkadir Abdulkadir Tayo , Nnachi Chima , Adanyi Deborah Ngurumun , Elebo Abuchi , Adeniji Shola Elijah 
Published: January 2023

Abstract
Background: The objective of the study is to determine the nature and the anthropogenic sources of the detected metal pollutant in the sediment of the Ikpoba River. Also, to study the distribution trend and the ecological and health risks of the analyzed metals. The metals were extracted from the sediment through aqua regia digestion and analyzed with an atomic absorption spectrometer. A total of six metals was quantified.
Results: The distribution of the average concentration of metals showed that Cd < Cu < Co < Pb < Ni < Fe. The ecological risk assessment showed the values of geo-accumulation (igeo) and contamination indices of the metals to be zero except for Fe. This is an indication of zero pollution of the aquatic system by all detected metals except Fe. However, the enrichment factor (EF) of the metals has values greater than 1.5 in some sampling areas and less than that in others. Furthermore, the values of the ecological risk index (ERI), pollution load index (PLI), and potential ecological risk (PER) of the detected metals were all less than one. The sediment quality guidelines (SQGs) were all low for the tested metals. The human health risk assessment revealed the hazard quotient (HQ) and hazard index (HI) of the analyzed metals to be less than 1, while the carcinogenic risk was also noted to be less than 10-6.
Conclusions: Children's ADD values were higher than adults' through dermal and ingestion exposure routes, indicating that children are more vulnerable to metals risk than adults. Furthermore, the values of the EF and multivariate statistics showed the sources of the metals to be a mixture of anthropogenic and natural, with anthropogenic activities leading. However, despite the low ecological and human health risk posed by the various metals, Cd was discovered to be a potential carcinogen and ecological risk to children, and the biota of the studied stream, if released, persisted unabated
A Reliability Case Study of the Impact of Tribology on Wind Turbine Gearboxes
Authors: Calderon-Salmeron Gabriel , Schwack Fabian , Joshi Prakhar , Glavatskih Sergei 
Published: January 2023

Abstract
This work shows the impact of reliability influencing factors related to tribology on the monetary saving potential. The gearbox reliability was evaluated using an extended Fault Tree Analysis (FTA) with added connections focusing on the tribological influences on the failure rate. A modified Failure Mode and Effect Analysis (FMEA) without accurate reliability connections related to tribology was evaluated for comparison. A 10% improvement in all tribology-related factors in the extended FTA yields 14.96% higher annual failure cost savings, which relates to reduced costs of 22937 €/turbine/year for a 2.5 MW reference turbine. The extended FMEA estimates the saving potential to be 4.99%. The study demonstrates the importance of integrating tribology expertise and cooperation between park owners, manufacturers, suppliers, and academia. Our results demonstrate that even marginal tribological improvements significantly increase wind turbine reliability and monetary savings confirming that tribology, despite being overlooked, is a powerful reliability enhancement tool.
Enhancing the Irish National Audit of Dementia: An adaptation study
Authors: Sykes Michael , O'Mahony Lauren , Wiggin Daisy , Timmons Suzanne 
Published: January 2023

Abstract
Background: People with dementia in acute hospitals do not routinely receive best care. The Irish National Audit of Dementia was undertaken to improve care and is based upon the English National Audit of Dementia. Audit and feedback is an effective intervention, but there is variation in the extent to which it improves care. Increasing the quality improvement capabilities of feedback recipients may lead to greater improvements in care. We sought to adapt an existing quality improvement collaborative, to support the improvement capabilities of National Audit feedback recipients, to the Irish context. The study aimed to co-design adaptations to reflect contextual differences between the English and the Irish healthcare system and to explore fidelity, affective response, and reported appropriateness, burden and effectiveness of the adapted Quality Improvement Collaborative in Ireland.

Methods: We used co-design methods involving dementia clinicians from three hospitals (n=7) and interviews with healthcare workers from seven hospitals (n=8) to adapt and explore implementation of the intervention.

Results: The intervention required adaptation to reflect differences in: engagement, working patterns, terminology, the actors involved and organisational structure. There was evidence that the adapted intervention generated a positive affective response, was perceived as effective and appropriate and led to fidelity of receipt and enactment.

Conclusion: We describe implications for the adaptation of interventions to increase participants’ quality improvement capabilities and highlight the importance of socio-adaptive work. We distinguish between adaptation and forms of tailoring. We propose further work to explore antecedents of senior positional leader engagement, to describe the delivery of intra-group behaviour change techniques and to adapt the intervention to other clinical domains.
Telegram to Accommodate English Learning of Narrative Writing: Students’ Perceptions
Authors: Maharani Mega Mulianing , Arisanti Nadya Intan 
Published: January 2023

Among the technological platforms that can be used to teach English story writing is Telegram. The purpose of this research was to learn how students felt about using telegrams to learn narrative writing skills during the Covid-19 pandemic. Thirty 11th graders at one school in Central Java participated in this study as respondents. The instrument used in this research was a questionnaire. This research found that using Telegram as a technology medium facilitated narrative writing amongst the 11th graders. The students studying English as a second language through narrative writing could potentially benefit from Telegram's many capabilities. Finally, they concluded that Telegram was the best technological medium to learn narrative writing during the Covid-19 Pandemic.