bluuebunny/crossref_metadata_2025_split huggingface dataset:
A far-field ground motion prediction model for interface earthquakes at the hill zone of Mexico City
Authors: Leonardo-Suárez Miguel , Hernández Andres Felipe , Quinde Pablo 
Published: September 2022

Abstract
This study presents an updated attenuation model to predict the peak ground acceleration (PGA), peak ground velocity (PGV), 5% damped pseudo-spectral acceleration (SA), and the average spectral acceleration (AvgSA) at the hill zone of Mexico City for interface earthquakes. The strong-motion dataset comprises 33 earthquakes recorded at CU station, covering a moment magnitude (Mw) range from 6.0 to 8.1 and a source-to-site distance (Rrup) range from 240 to 490 km. Given the small number of available observations, a Bayesian regression scheme is used to obtain the coefficients of the ground-motion prediction model (GMPM). In addition, the epistemic uncertainty in the estimation of the regression coefficients is evaluated, showing its impact on the framework of a probabilistic seismic hazard analysis (PSHA). The results are compared with models previously developed for the CU station, discussing the differences observed between the median predictions and their standard deviations. Likewise, seismic hazard curves are computed and compared with empirical curves obtained by counting the number of times per year that a given value of ground-motion intensity is exceeded. The results show that the dispersion of the GMPM proposed is lower than the previous models for PGA and SA, which means better predictability and more reliable estimates of the seismic hazard at the site.
Predicting suicide risk in 137 112 people with severe mental illness in Finland: external validation of the Oxford Mental Illness and Suicide tool (OxMIS)
Authors: Sariaslan Amir , Fanshawe Thomas , Pitkänen Joonas , Cipriani Andrea , Martikainen Pekka , Fazel Seena 
Published: September 2022

Abstract
Oxford Mental Illness and Suicide tool (OxMIS) is a standardised, scalable, and transparent instrument for suicide risk assessment in people with severe mental illness (SMI) based on 17 sociodemographic, criminal history, familial, and clinical risk factors. However, alongside most prediction models in psychiatry, external validations are currently lacking. We utilized a Finnish population sample of all persons diagnosed by mental health services with SMI (schizophrenia-spectrum and bipolar disorders) between 1996 and 2017 (n = 137 112). To evaluate the performance of OxMIS, we initially calculated the predicted 12-month suicide risk for each individual by weighting risk factors by effect sizes reported in the original OxMIS prediction model and converted to a probability. This probability was then used to assess the discrimination and calibration of the OxMIS model in this external sample. Within a year of assessment, 1.1% of people with SMI (n = 1475) had died by suicide. The overall discrimination of the tool was good, with an area under the curve of 0.70 (95% confidence interval: 0.69–0.71). The model initially overestimated suicide risks in those with elevated predicted risks of > 5% over 12 months (Harrell's Emax = 0.114), which applied to 1.3% (n = 1780) of the cohort. However, when we used a 5% maximum predicted suicide risk threshold as is recommended clinically, the calibration was excellent (ICI = 0.002; Emax = 0.005). Validating clinical prediction tools using routinely collected data can address research gaps in prediction psychiatry and is a necessary step to translating such models into clinical practice.
Adipocyte ZAG improves obesity-triggered insulin resistance by reshaping macrophages populations in adipose tissue
Authors: xiao xin-hua , Liao zhe-zhen , Wang ya-di , Ran Li , Hu can , Gu Qian-qian , Peng Ting , Wu Liang-liang , Wang Yuan-Yuan , Qi xiao-yan , Zhu Li-Yong , Mai Yun-ni , Wang Qi-Yu , Yang Jing , Liu Jianghua 
Published: September 2022

Abstract
Adipose tissues macrophages (ATMs) serve as a critical effector in the mediating occurrence of metabolic inflammation to impact whole-body insulin sensitivity in obesity. Discovering the key adipokines mediating crosstalk of adipocytes-macrophages and understanding the molecular mechanism of ATMs polarization and function have become hot topic issues in the immunometabolism fields. Zinc-α2-glycoprotein (ZAG) as a anti-inflammatory adipokines plays important roles in obesity-related metabolic diseases. We attempt to explore the precise role of adipose ZAG in metabolic inflammation and obesity-associated insulin resistance. Here we showed that Omental ZAG was positively associated with insulin sensitivity and M2 macrophages markers. ZAG-specific ablation in adipocyte aggravated insulin resistance and adipose tissues inflammation as evidenced by enhanced M1 macrophages proportion and inhibited AKT signaling pathway in mice fed with a high-fat diet. Exogenous ZAG inhibits PA-induced M1 macrophage polarization via β3-AR/PKA/STAT3 signaling in RAW264.7 macrophages.These findings suggest that adipocyte ZAG maintain insulin sensitivity via the cross talk with adipose-resident macrophages.
Inhibition of PCSK9 improves the development of pulmonary arterial hypertension via down-regulating Notch3 expression
Authors: Ye Peng , Jiang Xiao-Min , Qian Weichun , Zhang Juan 
Published: September 2022

Abstract
Background: Pulmonary arterial hypertension (PAH) is a fatal disease characterized by continuous constriction and occlusion of small pulmonary arteries (PA), leading to the development of right ventricular failure and death. PCSK9(Proprotein convertase subtilisin/kexin type 9) is a kind of serine protease enzyme that increases low-density lipoprotein cholesterol (LDLC) levels through degrading low-density lipoprotein cholesterol receptors (LDLr). However, whether inhibition of PCSK9 can alleviate PAH has not been reported. Methods and results: We reported that PCSK9 expression was up-regulated in lung tissues of PAH patients. In addition, we used PCSK9 monoclonal antibody subcutaneously to inhibit PCSK9 expression in mice exposed to chronic hypoxia (10%) in combination with SU5416, a VEGF receptor inhibitor. Hypoxia plus SU5416-induced PAH was attenuated in PCSK9 monoclonal antibody-treated mice compared with wild-type mice. PSCK9 inhibited pulmonary vascular remodeling in mice. Moreover, PCSK9 knockdown significantly altered the proliferation and migration of hypoxia-induced PASMCs. We also found that PCSK9 monoclonal antibody inhibited Notch3 expression in vivo and in vitro experiments. Conclusion: Our results suggest that the PCSK9-Notch3 signaling pathway is critical for the proliferation and migration of PASMCs and provides a potential drug target for the treatment of PAH.
High density mapping of wheat stripe rust resistance gene QYrXN3517-1BL using QTL mapping, BSE-seq and candidate gene analysis
Authors: Huang Shuo , Zhang Yibo , Ren Hui , Zhang Xin , Yu Rui , Liu Shengjie , Zeng Qingdong , Wang Qilin , Yuan Fengping , Singh Ravi P. , Bhavani Sridhar , Wu Jianhui , Han Dejun , Kang Zhensheng 
Published: September 2022

Abstract
Identification and utilization of genetic resistance is an effective strategy to control stripe rust disease in wheat. Cultivar Xinong 3517 (XN3517) has remained highly resistant to stripe rust since its release in 2008. To understand the genetic architecture of stripe rust resistance, Avocet S (AvS) × XN3517 F6 RIL population was assessed for stripe rust severity in five field environments. The parnets and RILs were genotyped by using the GenoBaits Wheat 16K Panel. Four stable QTL from Xinong 3517 were detected on chromosome arms 1BL, 2AL, 2BL, and 6BS. Based on the Wheat 660K array and bulked segregant exome sequencing (BSE-seq), the most effective QTL on chromosome 1BL is most likely different for the known adult plant resistance gene Yr29 and was mapped to a 1.7 cM region [336 kb, including twelve candidate genes in International Wheat Genome Sequencing Consortium (IWGSC) RefSeq version 1.0]. The 6BS QTL was identified as Yr78, and the 2AL QTL was probably same as QYr.caas-2AL or QYrqin.nwafu-2AL. The novel QTL on 2BL was effective in seedling stage against the races used in phenotyping. Candidate gene analysis of 1BL overlapping region indicated TraesCS1B01G460000, TraesCS1B01G460100, TraesCS1B01G460200, TraesCS1B01G460300, and TraesCS1B01G460400 to be most likely genes associated with the stripe rust resistance. In addition, allele-specifc quantitative PCR (AQP) marker nwafu.a5 was developed for QYrXN3517-1BL to assist marker-assisted breeding.
Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching
Authors: Paknejad Masih , Azarhoushang Bahman , Zahedi Ali , Khakrangin Mehdi , Kadivar Mohammad Ali 
Published: September 2022

Abstract
Ultrashort pulse laser structuring of hard materials prior to the grinding process significantly reduces the cutting forces and temperature and increases the achievable material removal rate of the grinding process. These effects are partially due to controllable induced damages into the subsurface of the structured workpieces. However, the impacts of this surface structuring technique on the material removal mechanism of advanced ceramics, such as Si3N4 are not yet thoroughly investigated. The dominant material removal mechanism in grinding hard and brittle materials such as silicon nitride (Si3N4), defines the surface integrity of the workpiece. For the first time, in-depth single diamond grit scratching experiments are carried out to investigate the changes in the dominant material removal mechanisms at various chip thicknesses by laser structuring of Si3N4. Two different structuring ratios (25% and 50%) were generated on sample surfaces by a femtosecond laser. The effects of laser structuring on material removal mechanism, pile-up area, area and width of the groove, grain path, normal and tangential forces, and specific cutting energy have been investigated. The results indicate that laser structuring considerably affects the reduction of depth ratio, normal (up to 89%) and tangential (up to 82%) forces, and specific cutting energy. The specific cutting energy of laser structured Si3N4 workpieces converged to about 5 J/mm3, much lower than that of unstructured workpieces.
Notch3 signaling promotes colorectal tumor growth by enhancing immunosuppressive cells infiltration in the microenvironment
Authors: Huang Kai , Luo Wenwu , Fang Jinmei , Yu Changjun , Liu Guangjie , Yuan Xiaodong , Liu Yun , Wu Wenyong 
Published: September 2022

Abstract
Background: Macrophage infiltration in the tumor microenvironment participates in the regulation of tumor progression. Previous studies have found that Notch signaling pathway is involved in regulating the progression of colorectal cancer (CRC), however, the specific mechanism is still unclear. Methods: The correlation between Notch signaling pathway and macrophage infiltration was investigated in TCGA database and verified in clinical samples of patients with CRC using immunohistochemistry. Gene Set Enrichment Analysis was used to find out genes related to Notch3 expression. Colony formation assay, and flow cytometry were utilized to test tumor growth and immune cell infiltration in vitro and in vivo.Results: Using bioinformatics analysis and clinical sample validation, we found that Notch3 was highly expressed in colon tumor tissues compared to adjacent normal tissues, and it participated in regulating the recruitment of macrophages to the tumor microenvironment. Furthermore, we found that the Notch3 expression was positively correlated with the expression of macrophage recruitment-related cytokines in colon tumor tissues. Finally, we demonstrated that depletion of Notch3 had no significant effect on the growth of colon tumor cells in vitro, while, attenuated the growth of colon cancer tumors in vivo. Simultaneous, immunosuppressive cells, macrophages and myeloid-derived suppressor cell (MDSC) infiltration were dramatically reduced in the tumor microenvironment. Conclusion: Our study illustrated that Notch3 could facilitate the progression of CRC by increasing the infiltration of macrophages and MDSCs to promote the immunosuppressive tumor microenvironment. Targeting Notch3 specifically is a potentially effective treatment for CRC.
Unexpected high NOX emissions from lakes on Tibetan Plateau under rapid warming
Authors: Kong Hao , Lin Jintai , Zhang Yuhang , Li Chunjin , Xu Chenghao , Shen Lu , Liu Xuejun , Yang Kun , Su Hang , Xu Wanyun 
Published: September 2022

Abstract
Nitrogen oxides affect health and climate. Their emissions from inland waters such as lakes are generally considered negligible and are absent in air quality and climate models. Here we find unexpected high emissions from remote lakes on the Tibetan Plateau based on satellite observations and emission inversion. The total emissions from 135 lakes larger than 50 km2 reach 1.9 Ton N h− 1, comparable to individual megacities worldwide. The emissions per unit area exceed those from crop fields. This is the first report of strong natural emissions from inland waters. The emissions are likely from anammox-dominated microbial processes under low-oxygen, low-organic, alkaline and saline conditions. They are associated with substantial warming and glacial and permafrost melting on the plateau, constituting a previously unknown feedback between climate, lake ecology and nitrogen emissions.
Hs-CRP and TNF-α effects on postnatal umbilical coiling: impact assessment of the gestational diabetes mellitus in a prospective cohort study
Authors: Akbari Hamideh , Monemi Fateme , Notej Atefe , Khajavi Alireza , Ghadikolaei Omolbanin Asadi , Abdolmaleki Fereshte , Najafi Laily 
Published: September 2022

AbstractBackgroundHence, no study has been conducted to demonstrate specifically the relationship between gestational diabetes mellitus (GDM) status, inflammatory factors, and postnatal umbilical coiling index (pUCI), as understanding this relation could help to select the best appropriate interventions to save the fetus.MethodTo assess the impact of high sensitivity C-reactive protein (hs-CRP) and Tumor necrosis factor-Alpha (TNF-α) (in maternal venous and umbilical cord (UC) blood) on pUCI, comparing GDM and non-GDM groups.This prospective observational study contained 40 parturients in each of GDM and non-GDM groups, matched for maternal age, ethnicity, and parity. GDM diagnosis was confirmed by 24–28 weeks of gestation (WOG) and two-step strategy. The covariates of interest were maternal hs-CRP and TNF-α, measured at 37-41th WOG, and their UC analogous, measured during delivery. The gross morphologies were assessed immediately after delivery. The UC coiling was quantitatively assessed by the postnatal umbilical coiling index (pUCI)..ResultsNo significant difference of hs-CRP and TNF-α, in maternal venous blood or UC blood, was found between GDM/non-GDM groups. The mean (SD) of pUCI in GDM and non-GDM groups were 0.28 (0.15) and 0.24 (0.21) (p-value = 0.441), respectively. In GDM group, none of the four covariates of interest had significant effects on pUCI. Among the non-GDM patients, merely the UC hs-CRP had a direct association with pUCI, a Pearson correlation of r = 0.54 (p-value < .01).ConclusionsIn GDM group, no apparent relationship was observed between inflammatory factors and pUCI, although a direct association was detected between UC hs-CRP and pUCI in the non-GDM.Tweetable abstractThe umbilical cord high sensitivity C-reactive protein is directly correlated with postnatal umbilical coiling.
Optimal Plan for Delivery in Women with Obesity: A Large Population-based Retrospective Cohort Study Using the Better Outcomes Registry and Network (BORN) Database
Authors: Horwood Genevieve , Erwin Erica , Guo Yanfang , Gaudet Laura 
Published: September 2022

Abstract

Objective: To discern the optimal plan for delivery in nulliparous women with obesity at term gestation. Subjects/Methods: This was a large population-based retrospective cohort study. It included nulliparous women with obesity (BMI>30) giving birth at a maternity hospital in Ontario, Canada with live, singleton, uncomplicated term gestations (37+0 to 41+6 weeks) between April 1st, 2012 and March 31st, 2019. A total of 27 472 deliveries were included.Interventions/Methods: Women were divided by plan for delivery (expectant management, induction of labour and no-labour caesarean section). The primary outcome was the Adverse Outcome Index (AOI), a binary composite of 10 maternal and neonatal adverse events. The Weighted Adverse Outcome Score (WAOS) was the secondary outcome. It provides a weighted score of each adverse event included in the AOI. Analyses were conducted using multivariable regression models. Analyses were stratified by each week of gestational age and by obesity class. Results No-labour caesarean section reduced the risk of adverse delivery outcome by 41% (aRR 0.59, 95%CI [0.50, 0.70]) compared to expectant management at term gestation. There was no statistically significant difference in adverse birth outcomes when comparing induction of labour to expectant management (aRR 1.03, 95% CI [0.96, 1.10]). The greatest benefit to no-labour caesarean section was observed in the reduction of adverse neonatal events (aRR 0.70, 95% CI [0.57, 0.87]) after 39 weeks of gestation. Conclusion In women with obesity, no-labour caesarean section reduces adverse birth outcomes.
Zero-Shot Transfer Learned Generic AI models for prediction of ideally ripe climacteric fruits
Authors: Dutta Jayita , Patwardhan Manasi , Deshpande Parijat , Karande Shirish , Rai Beena 
Published: September 2022

AbstractIdeally, ripe fruits offer appropriate nutritional content and best quality in terms of taste and flavour. Prediction of ideally ripe climacteric fruits acts as the main marketing indicator for quality from the consumer perspective and thus renders it a genuine industrial concern for all the stakeholders of the fruit supply chain. However, the building of fruit-specific individual model for the prediction of ripeness level remains an existing challenge due to the scarcity of sufficient labeled experimental data for each fruit. This paper describes the development of generic AI models based on the similarity in physico-chemical degradation phenomena of climacteric fruits for prediction of ‘unripe’ and ‘ideally ripe’ levels using ‘zero-shot’ transfer learning techniques. Experiments were performed on a variety of climacteric and non-climacteric fruits and it was observed that transfer learning works better for fruits within a cluster (climacteric fruits) as compared to across clusters (climacteric to non-climacteric fruits). The main contributions of this work are two-fold (i) Using domain knowledge of food chemistry to label the data in terms of age of the fruit (ii) We hypothesize and prove that the zero-shot transfer learning works better within a set of fruits, sharing similar degradation chemistry depicted by their visual properties like black spot formations, wrinkles, discoloration, etc. To the best of our knowledge, this is the first study to demonstrate the same.
Impact of Climate Change Induced Natural Disasters on Nutrition Outcomes: A Case of Cyclone Idai, Zimbabwe
Authors: Dembedza Vimbainashe Prisca , Chopera Prosper , Mapara Jacob , Mpofu-Hamadziripi Nomalanga , Kembo George , Macheka Lesley 
Published: September 2022

Abstract
Background
The increased frequency of climate induced natural disasters has exacerbated the risks of malnutrition in the already vulnerable regions. This study was aimed at exploring the effects of Cyclone Idai on nutrition outcomes of women of child-bearing age and children under five years.
Method
The household-based cross-sectional study was conducted in Eastern Zimbabwe. Data were collected through face-to-face interviews to determine food consumption score (FCS) and household dietary diversity (HDDS), minimum dietary diversity for women (MDD-W) and minimum dietary diversity for children (MDD-C). Severity of Cyclone Idai was grouped into five categories based on the extent of damage to infrastructure and loss of human lives. Association between continuous and categorical variables was tested using Pearson correlation test and Chi square test, respectively. Linear and binary logistic regression was performed to investigate determinants of food security.
Results
A total of 535 households were interviewed. There was a significant correlation between severity of Cyclone Idai and MDD-W (p = 0.011), HDDS (p = 0.018) and FCS (p = 0.001). However, severity Cyclone Idai was not a determinant of any nutrition outcome, but gender of household head was a negative predictor of HDDS (β=-0.734, p = 0.040), and marital status of household head was a positive predictor (β = 0.093, p = 0.016) of FCS.
Conclusion
The findings provide a good baseline to inform future programming of food aid activities during disasters. More so, our findings call for evidence-based policies regarding composition of a food aid basket and targeting of beneficiaries. The main strength of this study is that it is the first to investigate the effects of cyclones on food and nutrition security indicators and is based on a large sample size thus making our results generalisable.
Prey availability and its influence on habitat selection during the non- breeding period in a sedentary bird of prey
Authors: Bühler Roman , Schalcher Kim , Séchaud Robin , Michler Stephanie , Apolloni Nadine , Roulin Alexandre , Almasi Bettina 
Published: September 2022

Abstract

Background: For sedentary birds of prey in the temperate zone, the cold non-breeding season can have strong impacts on fitness traits with implications for population dynamics. The non-breeding season should thus receive the same attention as other parts of the annual life cycle. Birds of prey in intensively managed agricultural areas are repeatedly confronted with unpredictable, rapid changes to their habitat due to farming practices like mowing, harvesting, and ploughing. Such a dynamic landscape is likely to influence prey distribution and availability and might even result in changes in habitat selection of the predator over the annual cycle. Methods: In the present study, we 1) quantified barn owl prey availability in different habitats throughout the annual cycle, 2) quantified the size and location of barn owl breeding and non-breeding home ranges using GPS-data, 3) assessed habitat selection in relation to prey availability during the non-breeding period, and 4) discussed the changes in habitat selection between the breeding and non-breeding period.Results: The patchier prey distribution during the non-breeding period compared to the breeding period led to habitat selection towards grassland during the non-breeding period. Barn owl breeding and non-breeding home-range size were similar, but there was a small shift in the location of home-ranges which was more pronounced in females than males. The changes in prey availability led to a mainly grassland-oriented habitat selection during the non-breeding period. Further, our results showed the importance of biodiversity promotion areas and undisturbed field margins within the intensively managed agricultural landscape. Conclusions: We showed that differences in prey availability among habitat types between the breeding and the non-breeding period can lead to changes in habitat preference. Given these results we demonstrate the importance to maintain and enhance the structural diversity within the intensive agricultural landscape, to effectively conserve birds of prey specialised on small mammals.