bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pro-re-nata regimen of autologous platelet-rich plasma injections for treatment of dry eyes: A pilot study
Authors: Agrawal Mohini , Tripathi Anchal , Mishra Avinash , Bhirud Atul , Dangwal Vidhu , Pathak Lav 
Published: August 2023

Abstract
Purpose To study the efficacy of autologous platelet-rich plasma injections (PRPi) in treatment of dry eyes.Methods This prospective, interventional study was conducted at a tertiary-eye care centre, India. 160 eyes of 80 patients with newly diagnosed dry eyes were included. One eye received PRPi (cases = 80 eyes) and the other eye of the patient received a lubricating drop (control = 80 eyes). Cases who did not improve at 1-month follow-up were reinjected with PRP. The outcomes were measured on the basis of ocular surface disease index (OSDI), Schirmer’s test (ST), non-invasive tear breakup time (NIBUT), tear meniscus height (TMH), and ocular surface staining score (OSS) done at baseline, 1-month, 2-months, 3-months and 6-months follow-up (FU).Results 60 cases showed significant improvement in all the outcome measures at 1-month (p < 0.001), when compared to controls; whereas 20 cases had to undergo repeat injections. On FU at 2-months, 16 cases (out of those 20 cases) showed a significant improvement (p < 0.05); while 4 cases still did not improve clinically at 3-months. All the outcome parameters (ST, NIBUT, TMH and OSS, OSDI scores) maintained a significant improvement at 6-months FU, including those 4 cases (p < 0.001). All the patients were highly satisfied with the intervention.Conclusion PRPi, as a monotherapy given on pro-re-nata (PRN) basis, is a simple and efficacious modality of treatment in dry eyes; verified by improvement in subjective and objective tear-film parameters.
Regulatory variants of APOBEC3 genes potentially associate with COVID-19 severity in populations with African ancestry
Authors: Zhang Ke , Chen Fang , Shen Hu-Yan , Zhang Ping-Ping , Gao Han , Peng Hong , Luo Yu-Si , Cheng Zhong-Shan 
Published: August 2023

Abstract
Since November 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused the worldwide pandemic of the coronavirus disease 2019 (COVID-19), the impact of which is huge to the lives of world populations. Many studies suggested that such situation will continue due to the endless mutations in SARS-CoV-2 genome that result in complexity of the efforts for the control of SARS-CoV-2, since the special enrichment of nucleotide substitution C > U in SARS-CoV-2 sequences were discovered mainly due to the editing by human host factors APOBEC3 genes. The observation of SARS-CoV-2 variants Beta (B.1.351) and Omicron (B.1.1.529) firstly spreading in South Africa promoted us to hypothesize that genetic variants of APOBEC3 special in African populations may be attributed to the higher mutation rate of SARS-CoV-2 variants in Africa. Current study was conducted to search for functional variants of APOBEC3 genes associate with COVID-19 hospitalization in African population. By integrating data from the 1000 Genomes Project, GTEx, and Host Genetics Initiative of COVID-19, we identified potential functional SNPs close to APOBEC3 genes that are associated with COVID-19 hospitalization in African but not with other populations. Our study provides new insights on the potential contribution of APOBEC3 genes on the evolution of SARS-CoV-2 mutations in African population, but further replication is needed to confirm our results.
Dose-response relationship between sedentary time and anxiety and the moderating effect of a 10- minute walk: a cross-sectional study based on a large sample of Chinese population
Authors: TIAN Zheng , LI Yimiao , ZHANG Nan , LIU Yong , Wu Yibo , WANG Lan 
Published: August 2023

Abstract

Background
The effectiveness and generalisability of conventional anxiety treatment programmes is low across the population, and it is important to establish physical activity-based intervention programmes to prevent and improve anxiety. This study analysed the impact of sedentary activity on anxiety, explore its dose-response relationship, and investigate the interactive effects of 10-minute walks and sedentary duration on anxiety.
Methods
Using the cross-sectional data from the Chinese Psychological and Behavioural Study of the Population (PBICR) 2022. Assessed the anxiety status of the study participants according to the Generalized Anxiety Disorder Scale (GAD-7). In addition, binary logistic regression was used to determine the association between sedentary time and anxiety and to analyze the effect of the interaction between 10-minute walks per day and sedentary time on anxiety. Further, a restricted cubic spline model was used to analyze the dose-response relationship between sedentary time and anxiety risk.
Results
Participants who were sedentary for > 6 hours had a 25.1% increased risk of anxiety (OR = 1.251) compared to those who were sedentary for ≤ 6 hours. Among those sedentary for > 6 hours, each additional hour of sedentary time increased the risk of anxiety by 4.3%. However, for participants sedentary for ≤ 6 hours, sedentary time did not increase the risk of anxiety. We observed a non-linear J-shaped relationship between sedentary time and the risk of anxiety (non-linear trend p < 0.001). Among individuals who were sedentary for > 6 hours, those who walked more than 10 minutes on ≤ 5 days per week had a 67.1% increased risk of anxiety (OR = 1.671), whereas those who walked more than 10 minutes on > 5 days per week experienced a 19% decreased risk of anxiety (OR = 0.810). For individuals sedentary for ≤ 6 hours, each additional day of walking for > 10 minutes reduced the risk of anxiety by 9.8%. Among those sedentary for > 6 hours, each additional day of walking for > 10 minutes reduced the risk of anxiety by 10.3%.
Conclusion
Increased sedentary time is independently associated with a higher risk of anxiety, and a non-linear J-shaped relationship was observed between the two variables. Walking for more than 10 minutes mitigates the negative effects of sedentary activity on anxiety.
The mediating role of couple relationship between family power and depressive symptoms in patients undergoing assisted reproductive treatment：a cross-sectional study
Authors: Wang Jieyu , Jia Yuedi , Xu Qianhua , Luo Guiying , Chen Ren , Wang Danni 
Published: August 2023

Abstract
【Abstract】Background: To investigate the effect of family power on depressive symptoms in patients undergoing assisted reproduction therapy through the couple relationship.
Methods: A cross-sectional survey was conducted on couple relationships, family power, and depressive symptoms in 332 patients (253 women, 79 men) treated with IVF/ICSI-ET in the Reproductive Medicine Center of the First Affiliated Hospital of Anhui Medical University.
Results: (1) The total score for depressive symptoms was higher in women than in men, and the depressive symptoms scores were higher in patients with a lower economic income than their spouses and with a lower level of education than their spouses. (2) Family power was positively correlated with couple relationship, negatively correlated with depressive symptoms, and couple relationships were negatively correlated with depressive symptoms. (3) The results of the mediating effect test showed that the mediation effect between family power and depressive symptoms in patients undergoing assisted reproduction treatment had a significant mediating effect, and the mediation effect accounted for 11.62% of the total effect.
Conclusions: Family power plays a partial mediating role in the relationship and depressive symptoms, and the relationship can directly or indirectly reduce the depressive symptoms level of patients undergoing assisted reproduction therapy. Medical staff should pay attention to the family situation of the patient's family members in the process of diagnosis and treatment.
Genetic and pharmacological reduction of CDK14 mitigates synucleinopathy
Authors: Rousseaux Maxime W C , Parmasad Jean-Louis , Ricke Konrad , Stykel Morgan , Buchner-Duby Brodie , Nguyen Benjamin , Bruce Amanda , Geertsma Haley , Lian Eric , Lengacher Nathalie , Callaghan Steve , Joselin Alvin , Tomlinson Julianna , Schlossmacher Michael , Stanford William , Ma Jiyan , Brundin Patrik , Ryan Scott 
Published: August 2023

Abstract
Parkinson's disease (PD) is a debilitating neurodegenerative disease characterized by the loss of midbrain dopaminergic neurons (DaNs) and the abnormal accumulation of α-Synuclein (α-Syn) protein. Currently, no treatment can slow nor halt the progression of PD. Multiplications and mutations of the α-Syn gene (SNCA) cause PD-associated syndromes and animal models that overexpress α-Syn replicate several features of PD. Decreasing total α-Syn levels, therefore, is an attractive approach to slow down neurodegeneration in patients with synucleinopathy. We previously performed a genetic screen for modifiers of α-Syn levels and identified CDK14, a kinase of largely unknown function as a regulator of α-Syn. To test the potential therapeutic effects of CDK14 reduction in PD, we ablated Cdk14 in the α-Syn preformed fibrils (PFF)-induced PD mouse model. We found that loss of Cdk14 mitigates the grip strength deficit of PFF-treated mice and ameliorates PFF-induced cortical α-Syn pathology, indicated by reduced numbers of pS129 α-Syn-containing cells. In primary neurons, we found that Cdk14 depletion protects against the propagation of toxic α-Syn species. We further validated these findings on pS129 α-Syn levels in PD patient neurons. Finally, we leveraged the recent discovery of a covalent inhibitor of CDK14 to determine whether this target is pharmacologically tractable in vitro and in vivo. We found that CDK14 inhibition decreases total and pathologically aggregated α-Syn in human neurons, in PFF-challenged rat neurons and in the brains of α-Syn-humanized mice. In summary, we suggest that CDK14 represents a novel therapeutic target for PD-associated synucleinopathy.
Harnessing energy abundance - Sustainable expansion of ground mounted PV in Lower Saxony through harmonized spatial planning
Authors: Badelt Ole , Wiehe Julia , von Haaren Christina 
Published: August 2023

Abstract
Background
The shift from fossil fuels to renewable energy sources brings substantial changes in space and land use. Germany, with limited land availability, needs a spatial framework to allocate renewable energy while safeguarding biodiversity and ecosystem services. Respective models have been developed for decision support on wind turbine allocation. However, methods are missing for ground mounted photovoltaics. This paper aims at identifying the safe operating space for human and nature compatible energy supply. On the basis of a literature review, we propose criteria for Germany with different classes of legal legitimization. In the exemplary case of the federal state of Lower Saxony the criteria are applied and the human and nature compatible solar energy potential is calculated.
Results
Results show that in Lower Saxony, 13 percent of the state's area (618,000 ha) belongs to the category of low spatial resistance to ground mounted PV. State-of-the-art ground mounted PV t has a power density of 1.01 MW/ha and can potentially produce 673 TWh/a on the state territory. This is much more than needed which gives room for allocation decisions on regional and local level. Citizens and decision makers can design their energy landscape and energy mix in the limits of a down scaled national climate protection target and the spatial limits of a human and nature compatible development. Furthermore, synergies with other objectives of extensive land use can be realized on the sites (e.g. groundwater protection).
Conclusion
Our findings provide valuable guidance for regional planning boards and encourage public participation in the decision-making process by providing transparent information about the spatial limits of sustainable solar development. The proposed model would improve planning, as different planning levels could access the scalable data. Equal criteria at all levels would increase the objectivity and comprehensibility of approval decisions. By evaluating local plans against the proposed criteria, citizens and decision makers can effectively contribute to the achievement of national climate protection goals while maintaining balance between human needs and the natural environment.
Recurrent Kawasaki disease with polyserositis and pulmonary lesions in a 5-year-old boy: a case report
Authors: Wen Yang , Weng Jiahui , Jin Li , Zhao Chunmei , Guo Qin , Jia Fenglin 
Published: August 2023

Abstract
Kawasaki disease leads to coronary artery changes, and the recurrence of Kawasaki disease is uncommon. Herein we describe the case of a boy with a recurrence of Kawasaki disease with polyserositis and pulmonary lesions associated with Shigella bogdii infection. Those complications occurred simultaneously, which is rare. Early diagnosis was made, and systemic immunosuppressive treatment was initiated. The treatment was effective, and he was ultimately cured.
Calibrated prediction intervals for polygenic scores across diverse contexts
Authors: Hou Kangcheng , Xu Ziqi , Ding Yi , Harpak Arbel , Pasaniuc Bogdan 
Published: August 2023

Abstract

Polygenic scores (PGS) have emerged as the tool of choice for genomic prediction in a wide range of fields from agriculture to personalized medicine. We analyze data from two large biobanks in the US (All of Us) and the UK (UK Biobank) to find widespread variability in PGS performance across contexts. Many contexts, including age, sex, and income, impact PGS accuracies with similar magnitudes as genetic ancestry. PGSs trained in single versus multi-ancestry cohorts show similar context-specificity in their accuracies. We introduce trait prediction intervals that are allowed to vary across contexts as a principled approach to account for context-specific PGS accuracy in genomic prediction. We model the impact of all contexts in a joint framework to enable PGS-based trait predictions that are well-calibrated (contain the trait value with 90% probability in all contexts), whereas methods that ignore context are mis-calibrated. We show that prediction intervals need to be adjusted for all considered traits ranging from 10% for diastolic blood pressure to 80% for waist circumference. Adjustment of prediction intervals depends on the dataset; for example, prediction intervals for education years need to be adjusted by 90% in All of Us versus 8% in UK Biobank. Our results provide a path forward towards utilization of PGS as a prediction tool across all individuals regardless of their contexts while highlighting the importance of comprehensive profile of context information in study design and data collection.
The rise and fall of excess winter mortality over a century in a high-income country: New Zealand from 1876 to 2020
Authors: Telfar-Barnard Lucy , Baker Michael G , Wilson Nick , Howden-Chapman Philippa 
Published: August 2023

Abstract
Excess winter mortality (EWM) has been used as a measure of how well populations and policy moderate the health effects of cold weather. We aimed to investigate long-term changes in Aotearoa New Zealand (NZ) EWM, and potential drivers of change, and test for structural breaks in trends. We calculated NZ EWM indices from 1876 (4,698 deaths) to 2020 (33,310 deaths), total and by age-group and sex, comparing deaths June to September (the coldest months) to deaths February to May and October to January. The mean age and sex-standardised EWM Index (EWMI) for the full study period, excluding 1918, was 1.22. However, mean EWMI increased from 1.20 for 1886 to 1917, to 1.34 for the 1920s, then reduced over time to 1.14 in the 2010s, with excess winter deaths averaging 4.5% of annual deaths (1,450 deaths per year) in the 2010s, compared to 7.9% in the 1920s. Children under 5 years transitioned from a summer to winter excess between 1886 and 1911. Otherwise, the EWMI age-distribution was J-shaped in all time periods. Structural break testing showed the 1918 influenza strain had a significant impact on trends in winter and non-winter mortality and winter excess for subsequent decades. It was not possible to attribute the post-1918 reduction in EWM to any single factor among improved living standards, reduced severe respiratory infections, or climate change.
Image based feature extraction for inline quality assurance and wear classification in high speed blanking processes
Authors: Kubik Christian , Molitor Dirk Alexander , Varchmin Sven , Leininger Dominik , Ohrenberg Joost , Groche Peter 
Published: August 2023

Abstract
Wear is one of the key factors that determine the efficiency of multi-stage processes that include blanking operations. Since wear in these processes not only causes unplanned downtime, but also directly affects product quality, inline detection of wear and its effect on product quality is of major importance. However, current quality assurance (QA) methods are limited to manual offline inspection by operators at predefined intervals, so that 100% inspection of the product and description of the state of wear is not found in industrial practice. The aim of this work is therefore to develop an optical system that enables in-line acquisition of product images and the associated control of blanking-specific quality features up to stroke rates of 300 strokes per minute (spm). In order to make the system attractive to small and medium-sized enterprises (SME), the system is designed to minimize integration and investment costs using commercially available components. By combining the system with a methodology for extracting blanking-specific features, so-called Key Performance Parameters (KPPs), the condition of the blanked surface as a relevant quality parameter is derived directly from the workpiece image. To demonstrate the transferability of the methodology to industrial applications, two use cases are investigated. In the first case, the KPPs are used directly to determine the quality of the blanked workpiece and are compared with reference measurements. Here, the KPPs are quantified with a mean absolute error of 18 µm compared to a ground truth. In the second case, the KPPs are used to build a machine learning (ML) model to estimate the wear of the blanking tool. Here, an accuracy of 92% is achieved in classifying the actual wear state.
Geothermal power generation and positive impact in the greater bay area: A case study of Huizhou city, Guangdong province
Authors: Cai Wenquan , Li Jianying , Xiao Chuantao 
Published: August 2023

Abstract
Geothermal resources, as abundant renewable and clean natural resources on Earth, have been utilized for geothermal power generation in 29 countries. Guangdong Province, as one of the most developed, economically vibrant, and attractive investment regions in China, has experienced rapid economic growth. However, further development is constrained by resource limitations and severe ecological environmental pressures. The issue of energy consumption and economic growth imbalance needs to be urgently addressed. Geothermal energy, as a clean and stable form of energy, can reduce reliance on fossil fuels, decrease dependence on imported energy, and enhance national energy security. This study conducts geological investigations, geophysical surveys, geochemical surveys, remote sensing detection, and drilling exploration in the Shiba-Huangshadong Cave area of Huizhou. It preliminarily identifies the available geothermal energy and its potential in the study area. A comparative analysis is conducted with Huizhou's annual electricity consumption to evaluate the impact of geothermal resources on the sustainability and societal benefits of Guangdong Province. The study highlights the urgent need, positive role, and significant importance of researching the extraction and utilization of geothermal resources.
Effects of Nitrogen Reduction on Wheat Yield and Quality in Different Ecological Environments
Authors: Cheng Jiasheng , Qiao Xiangmei , Abbas Sakina , He Jinbao , Sha Yun , Feng Shiyao , Wang Zhilong , Wang Zhiwei , Wu Yu , Yu Yaxiong 
Published: August 2023

Abstract
The effects of different nitrogen applications on wheat yield and quality under different ecological conditions were investigated to provide a reference for the synergistic objectives of green cultivation and high yield to improve the quality and efficiency of wheat in Yunnan Province, China. Three wheat cultivars and a total of four fertilizer gradients of 450kg/ha, 360kg/ha, 270kg/ha, and 0kg/ha urea application rate divided by two times, 50% of the base fertilizer and 50% of the jointing stage fertilizer, are as treatments. Our results indicated the yield was lowest when no fertilizer (0 kg/ha) was applied. However, the amount of nitrogen fertilizer required for the highest yield varies for different varieties and environments. Yunmai76 and Yunmai77 had the highest yield at urea application of 360 kg/ha, and Yun122-329 had the highest yield at urea application of 270 kg/ha. The yield difference between locations was highly significant, with the highest yield in Linxiang, followed by Ning'er County and the lowest yield in Yanshan County. Ning'er, with the south subtropical mountain monsoon climate, had the highest yield at urea application of 360Kg/ha, and Linxiang, with the subtropical mountain monsoon climate, had the highest yield at urea application of 450 kg/ha. With the low-latitude north subtropical highland monsoon climate, Yanshan County had the highest yield at urea application of 270 kg/ha. The quality indexes of the same variety varied greatly in different ecological environments, and there were large differences in the quality of different varieties at the same ecological site; the protein content, flour yield, hardness index, dough development time, dough stable time, wet gluten content, sedimentation value and water absorption of each variety were low when no nitrogen fertilizer was applied and was highest or second highest when 360 kg of urea was applied. The peak of each quality index required different amounts of nitrogen fertilizer in different ecological zones. In summary, to archive high yield, wheat varieties require no more than 360 kg urea per hectare but vary among different ecological environments.