bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stratospheric Ozone Recovery Increases Summer Precipitation in Siberia
Authors: Xie Fei , Niu Yingli , Xia Yan , Tian Wenshou , Chipperfield Martyn , Liu Na , Feng Wuhu , Han Yuanyuan 
Published: May 2023

Abstract
Siberia is one of the world's major food production bases areas and a climate-sensitive region, where summer precipitation has shown decreasing, increasing, and renewed decreasing trends in recent decades. However, the external factors driving the long-term trend in precipitation are not yet understood. Here we find that summer precipitation in Siberia is closely related to stratospheric ozone changes in both observations and simulations. An increase in the lowermost stratospheric ozone heats the upper troposphere and lower stratosphere (UTLS) of the mid-high latitudes in summer. The warming-induced divergence in the UT accelerates the polar circulation, which enhances convergence and upwelling in the lower troposphere and leads to more precipitation. A 20% increase in stratospheric ozone may have contributed ~50% of the summer precipitation variations over Siberia from 1990 to 2010. Our results suggest that stratospheric ozone recovery will drive Siberia to become wetter and wetter in the context of global warming.
The Role of Dietary Fiber on Preventing Gestational Diabetes Mellitus in an At-Risk Group of High Triglyceride-Glucose Index Women: A Randomized Controlled Trial
Authors: Zhang Dongyao , Sheng Jing , Chen Li , Jiang Ying , Cheng Decui , Su Yao , Yu Yuexin , Jia Haoyi , He Pengyuan , Wang Li , Cao Yannan , xu xianming 
Published: May 2023

Abstract
Background Pregnant women with a high triglyceride-glucose (TyG) index during early pregnancy may increase the risk of gestational diabetes mellitus (GDM), and dietary fiber could play an important role in glucose and lipid metabolism. However, no trials have tested the effects of dietary fiber on preventing GDM in women with a high TyG index. This study aims to investigate whether GDM can be prevented by dietary fiber supplementation in women with a TyG index ≥ 8.5 during early pregnancy (< 20 weeks).Methods A randomized clinical trial was performed among 295 women with a TyG index ≥ 8.5 before 20 weeks of gestation, divided into a fiber group (24 g dietary fiber powder/day) or a control group (usual care). The intervention was conducted from 20 to 24+ 6 gestational weeks, and both groups received guidance on exercise and diet. The primary outcomes were the incidence of GDM diagnosed by a 75 g oral glucose tolerance test (OGTT) at 25–28 gestational weeks, and levels of maternal blood glucose, lipids. Secondary outcomes include gestational hypertension, postpartum haemorrhage, preterm birth, and other maternal and neonatal complications.Results GDM occurred at 11.2% (10 of 89) in the fiber group, which was significantly lower than 23.7 (44 of 186) in the control group (P = 0.015). The mean gestational weeks increased dramatically in the fiber group compared with the control group (38.58 ± 1.44 weeks vs. 39.07 ± 1.08 weeks, P = 0.016). The incidence of preterm birth was 2.3% (2 of 86) of women randomized to the fiber group compared with 9.4% (17 of 181) in the control group (P = 0.032). The concentrations of 2 hour postprandial blood glucose showed statistically higher in the control group compared with the intervention group (6.69 ± 1.65 mmol/L vs. 6.45 ± 1.25 mmol/L, P = 0.026);. There were no other significant differences between groups in lipid profile values, or other secondary outcomes.Conclusion An intervention with dietary fiber supplementation during pregnancy may prevent GDM and preterm birth in women with a TyG index ≥ 8.5 before 20 weeks of gestation.
Winter, spring, summer or fall: Temporal patterns in placenta-mediated pregnancy complications – an exploratory analysis
Authors: Jeppegaard Maria , Rasmussen Steen Christian , Anhøj Jacob , Krebs Lone 
Published: May 2023

Abstract
Purpose: Placenta-mediated pregnancy complications, like growth restriction and hypertensive disorders, are leading causes of maternal, fetal and neonatal morbidity and mortality in high-income countries. The purpose is to investigate if there is a seasonal variation in placenta-mediated pregnancy complications (small for gestational age, intrauterine growth restriction, preeclampsia, preterm birth and intrauterine fetal death).
Methods: This is a Danish cohort study including all singleton deliveries at gestational week 22 up to and including week 41 conceived from December 2006 to November 2016 (N=555,459). We used statistical process control charts to visualize data and to test for patterns of non-random variation in data over time for pregnancies with risk factors (BMI, diabetes, in vitro fertilization, maternal age >40 years, primipara, previous caesarean and smoking) and each outcome: fetal growth restriction, hypertensive disorders, preterm birth and intrauterine fetal death. The study was approved by the Danish Data Protection agency; REG-039-2019.
Results: We found a seasonal pattern in hypertensive disorders during pregnancy with dips in pregnancies conceived in the fall season and highest risk by conception in the spring and summer season. We found no apparent seasonality in cases of preterm delivery, small for gestational age and intrauterine mortality. Individual risk factors (e.g. smoking and obesity) for placenta-mediated complicated over time were in consistency with the general trends.
Conclusions: We found a significant seasonal variation in the risk of hypertensive disorders of pregnancy with highest risk by conception in the spring and summer season. This study found no seasonal variation in other placenta-mediated complications.
ncRNAs-mediated high express of LPCAT1 correlates with poor prognosis and expression of tumor-related signaling pathway and tumor-related gene in breast cancer
Authors: Zhang Yuezhou , Fan Yu , siyuan Zheng , Zhao Minjie , Luo Jiefu , Liu Junyan , Ma Rong , Mu Junhao 
Published: May 2023

Abstract
Breast cancer is the most common malignant tumor and ranks as the leading cause of cancer-related death among women. Although endocrine and targeted therapy have obtained positive curative effects, the high recurrence rate and mortality associated with drug resistance remain obstacles. Solid evidence indicates that lysophosphatidylcholine acyltransferase 1 (LPCAT1) plays a key role during tumorigenesis. Notably, LPCAT1 upregulates cancer-related Erbb signaling pathways by affecting the lipid microenvironment around the cell membrane. However, its function and mechanism in breast cancer are still elusive. The regulation of long noncoding RNAs (lncRNAs) on multiple molecules is closely related to the occurrence and development of breast cancer. At present, most studies contend that lncRNAs facilitate downstream target gene expression by regulating ceRNAs, while others suggest that lncRNAs may function as upstream modulators, inhibiting gene expression by promoting splicing of per-miRNAs. In this study, the expression and prognosis of LPCAT1 and noncoding RNA (LINC01176) were analyzed in multiple tumors. Data in The Genotype-Tissue Expression (GTEx) indicated that LPCAT1 may be a potential oncogene in breast cancer, while LINC01176, as a new noncoding RNA, may have an inhibitory effect on breast cancer. A series of bioinformatic analyses, including expression, correlation, and prognostic analyses, confirmed that the expression of LPCAT1 is related to the regulation of the noncoding RNA (lncRNA) LINC01176. Finally, the LINC01176/hsa-miR-218-5p/LPCAT1 axis was identified as the most likely upstream lncRNA-related pathway for LPCAT1 in breast cancer. Mechanistically, we found that LPCAT1, LINC01176, and hsa-miR-218-5p are related to various tumor-related signaling pathways by KEGG enrichment analysis, including the Erbb signaling pathway, which is closely related to breast cancer, and tumor angiogenesis-related VEGF and Notch signaling pathways. Moreover, the LPCAT1 level was significantly positively associated with HER2, PC, VEGF, and NOTCH, while LINC was significantly negatively associated with HER2, PC, and NOTCH. In summary, our study suggests that LPCAT1 contributes to poor prognosis in breast cancer and that we can improve the prognosis of breast cancer by regulating the LINC01176/hsa-miR-218-5p/LPCAT1 axis.
Energy-economy-environment assessments of refrigerants R152a and R134a in a vapour compression refrigeration system using a variable displacement oil-free linear compressor
Authors: Fang Xueliang , Chiong Meng-Choung , Jiang Xinyue , Yu Lih Jiun , Chen Xinwen , Muhieldeen Mohammed W. , Al-Talib Ammar Abdulaziz Majeed , Lim Wei Hong , Wong Keng Yinn 
Published: May 2023

Abstract
In light of the adverse environmental impact of the R134a refrigerant, replacing it with a more environmentally friendly refrigerant has become imperative than ever. This study presents an experimental investigation into the utilization of R152a and R134a refrigerants in a vapor compression refrigeration (VCR) system employing a variable displacement oil-free linear compressor. The potential for the replacement of R134a with R152a was examined based on energy, environmental, and economic performance analyses. The outcomes indicated that R152a exhibited a higher coefficient of performance (COP) in comparison to R134a under identical operating conditions. Specifically, when the pressure ratio was 2.0 and the piston stroke was 11 mm, R152a's COP was 13.0% higher than R134a. It was also discovered that reducing the operating stroke and increasing the pressure ratio could effectively lower CO2 emissions and total costs. Under the 2.0 pressure ratio and 9 mm piston stroke, R134a produced 1082.4 kg more CO2 emissions than R152a, representing a 209% increase. Additionally, In addition, the R152a and R134a total cost was reduced by 8.3% with the 2.5 pressure ratio and 11 mm piston stroke. Notably, the results of the current study demonstrated that R152a outperformed R134a in energy consumption, environmental friendliness, and economy in oil-free linear compressor refrigeration systems. R152a used less electric power, generated fewer CO2 emissions, and naturally reduced predicted running costs in order to maintain the same COP.
Is the information infrastructure construction policy necessary to move towards a green production world?
Authors: He Xiaolong , Liang Yufan , Liang Dong , Deng Hong 
Published: May 2023

Abstract
While achieving economic growth, China's cities have also experienced severe environmental pollution problems. To achieve the goal of green production, this paper first measures the green total factor productivity (GTFP) of Chinese prefecture-level cities using the super Slacks-Based Measure and the global Malmquist-Luenberger index (SBM-GML) model and then explores the paths affecting GTFP from the perspective of information infrastructure construction policy (IICP) using a time-varying Difference-in-Difference (time-varying DID) model. The results show that the information infrastructure construction policy significantly contributes to urban GTFP growth overall, and the implementation of the policy leads to an average increase of 0.209 in pilot cities relative to non-pilot cities. The information infrastructure construction policy contributes to urban GTFP growth through green technology diffusion effects and the improvement of employment structure.
Importance of cross-shore transport and eddies in promoting large scale response to urban eutrophication
Authors: Kessouri Faycal , Sutula Martha , Bianchi Daniele , Ho Minna , Damien Pierre , McWilliams James , Frieder Christina , Renault Lionel , Frenzel Hartmut , McLaughlin Karen , Deutsch Curtis 
Published: May 2023

Abstract
A key control on the magnitude of coastal eutrophication is the degree to which currents quickly transport nitrogen away from the coast to the open ocean before eutrophication symptoms develop. In the Southern California Bight (SCB), an upwelling-dominated eastern boundary current ecosystem, anthropogenic nitrogen inputs increase algal productivity and cause subsurface acidification and deoxygenation along the coast. However, the extent of anthropogenic influence beyond the coastal band, and the physical transport mechanisms responsible these effects, were not previously documented. Here, we use a submesoscale-resolving numerical model to investigate the transport of anthropogenic nitrogen and its effects on SCB offshore habitats. Anthropogenic nutrient inputs promoted an increase in productivity and respiration offshore, with recurrent oxygen loss and pH decline in a region located 30 – 90 km from the mainland. Over 2013 to 2017, peak losses up to 14.2 mmol m-3 O2 persisted 4 to 6 months of the year over an area of 278,400 km2 (~30\% of SCB area). These recurrent features are associated with eddy cross-shore transport of nutrients and plankton biomass, and their accumulation and retention within persistent eddies offshore counteract the dilution and dispersion by mean currents that transport nitrogen and organic matter out of the SCB.
Efficient differential expression analysis of large-scale single cell transcriptomics data using dreamlet
Authors: Hoffman Gabriel , Lee Donghoon , Bendl Jaroslav , Fnu Prashant , Hong Aram , Casey Clara , Alvia Marcela , Shao Zhiping , Argyriou Stathis , Therrien Karen , Venkatesh Sanan , Voloudakis Georgios , Haroutunian Vahram , Fullard John , Roussos Panos 
Published: May 2023

Abstract
Advances in single-cell and -nucleus transcriptomics have enabled generation of increasingly large-scale datasets from hundreds of subjects and millions of cells. These studies promise to give unprecedented insight into the cell type specific biology of human disease. Yet performing differential expression analyses across subjects remains difficult due to challenges in statistical modeling of these complex studies and scaling analyses to large datasets. Our open-source R package dreamlet (DiseaseNeurogenomics.github.io/dreamlet) uses a pseudobulk approach based on precision-weighted linear mixed models to identify genes differentially expressed with traits across subjects for each cell cluster. Designed for data from large cohorts, dreamlet is substantially faster and uses less memory than existing workflows, while supporting complex statistical models and controlling the false positive rate. We demonstrate computational and statistical performance on published datasets, and a novel dataset of 1.4M single nuclei from postmortem brains of 150 Alzheimer’s disease cases and 149 controls.
An investigation into the effects of 6-Gingerol on glucose and glutamine metabolism in breast cancer cell lines
Authors: Ghorbani Mahboobe , Shafiee Seyed Mohammad , Dianati-Nassab Aria , Behbahani Sara Edalat , Honardar Zohreh , Khoshdel Zahra 
Published: May 2023

Abstract
Background One of the most significant signs of cancer is reprogramming of energy metabolism, especially enhancement of glycolysis and glutaminolysis to support the speedy growth of tumor cells.Purpose As [6]-gingerol may play a beneficial role in cancer cells metabolism, in this study, we investigated whether the [6]‐gingerol would be able to induce changes catalytic activities of lactate dehydrogenase A (LDHA) and glutamate dehydrogenase (GDH) in MCF-7 and SKBR3 breast cancer cells. We also wanted to test whether the glutamic acid transporters like SLC1A5 (ASCT2) and SLC7A5 (LAT1) are targets of [6]‐gingerol to block glutamine import into cancer cells.Methods and results Our results showed for the first time that [6]‐gingerol resulted in reduced LDHA and GDH enzyme activities. Our data also revealed a significant down-regulation of GDH, LDHA, SLC7A5, SLC1A5 gene expression after treatment of MCF-7 and SKBR3 cells with [6]-gingerol.Conclusion These findings indicated that [6]‐gingerol acts as metabolic antagonist for breast cancer cells, and any reduction in cell growth was associated with reduced LDHA, GDH enzymes activities and down-regulation of SLC1A5 and SLC7A5 gene expression, so this suggests that [6]‐gingerol has the potential to block certain glutamine transporters and deprive the tumor cells of these important tumor promoting amino acids. Therefore, [6]‐gingerol can antagonize the development of breast cancer cells via inhibition of aerobic glycolysis and glutaminolysis .
Predicting Saddle-Node Bifurcations Using Transient Dynamics: A Model-Free Approach
Authors: Habib Giuseppe 
Published: May 2023

Abstract
This paper proposes a novel method for predicting the presence of saddle-node bifurcations in dynamical systems. The method exploits the effect that saddle-node bifurcations have on transient dynamics in the surrounding phase space and parameter space, and does not require any information about the steady-state solutions associated with the bifurcation. Specifically, trajectories of a system obtained for parameters close to the saddle-node bifurcation present local minima of the logarithmic decrement trend in the vicinity of the bifurcation. By tracking the logarithmic decrement for these trajectories, the saddle-node bifurcation can be accurately predicted. The method does not strictly require any mathematical model of the system, but only a few time series, making it directly implementable for gray- and black-box models and experimental apparatus. The proposed algorithm is tested on various systems of different natures, including a single-degree-of-freedom system with nonlinear damping, the mass-on-moving-belt, a time-delayed inverted pendulum, and a pitch-and-plunge wing profile. Benefits, limitations, and future perspectives of the method are also discussed. The proposed method has potential applications in various fields, such as engineering, physics, and biology, where the identification of saddle-node bifurcations is crucial for understanding and controlling complex systems.
Differences clinical characteristics and factors in intrinsic and extrinsic adenomyosis
Authors: Liang Yan , Shi Wei , Sun Feng , Zhu Minjiao , Liu Yuan , Zhang Jian 
Published: May 2023

AbstractAdenomyosis (AM) is a common gynecological condition that can be classified into different subtypes. This study aimed to evaluate the clinical characteristics, factors and treatment effect in women who diagnosed with intrinsic or extrinsic AM by MRI and underwent hysterectomies. A total of 181 women were enrolled in the study. Among these, 77 of which were identified to be in the intrinsic AM group (intrinsic group) and 54 in the extrinsic AM group (extrinsic group). Our results show that gravidity (P < 0.0001), parity (P < 0.0001), number of abortion (P < 0.0013) and endometrial curettage (P = 0.0167) were significantly higher in the intrinsic group, while the education level was lower in the intrinsic group (P = 0.0118). Women in the extrinsic group had earlier menarches (P = 0.0257) and were more coexist with ovarian endometrioma (OMA) (P < 0.0001) and deep infiltrating endometriosis (DIE) (P < 0.0001). In terms of clinical features, dysmenorrhea was more serious in the extrinsic group (P = 0.0091), whereas women in the intrinsic group had heavier menstrual volume (P < 0.0001). Surgery duration (P < 0.0001), surgical bleeding (P < 0.0013), hospitalization cost (P < 0.0001), and postoperative medical therapy (P < 0.001) were significantly higher in the extrinsic group than in the intrinsic group. In the multivariate analysis we performed, education level, gravidity and number of endometrial curettage were significantly associated with intrinsic AM. OMA and DIE were closely related to extrinsic AM. These results suggest that intrinsic and extrinsic AM have specific clinic characteristics, are associated with different factors, and may have different pathogenesis.
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data
Authors: Zhou Weihua , Zhao Chen , Liu Anqi , Zhang Xiao , Cao Xuewei , Ding Zhengming , Sha Qiuying , Shen Hui , Deng Hong-Wen 
Published: May 2023

Abstract
Integration of heterogeneous and high-dimensional multi-omics data is becoming increasingly important in understanding genetic data. Each omics technique only provides a limited view of the underlying biological process and integrating heterogeneous omics layers simultaneously would lead to a more comprehensive and detailed understanding of diseases and phenotypes. However, one obstacle faced when performing multi-omics data integration is the existence of unpaired multi-omics data due to instrument sensitivity and cost. Studies may fail if certain aspects of the subjects are missing or incomplete. In this paper, we propose a deep learning method for multi-omics integration with incomplete data by Cross-omics Linked unified embedding with Contrastive Learning and Self Attention (CLCLSA). Utilizing complete multi-omics data as supervision, the model employs cross-omics autoencoders to learn the feature representation across different types of biological data. The multi-omics contrastive learning, which is used to maximize the mutual information between different types of omics, is employed before latent feature concatenation. In addition, the feature-level self-attention and omics-level self-attention are employed to dynamically identify the most informative features for multi-omics data integration. Extensive experiments were conducted on four public multi-omics datasets. The experimental results indicated that the proposed CLCLSA outperformed the state-of-the-art approaches for multi-omics data classification using incomplete multiomics data.
Predictive value of adipokines for the severity of acute pancreatitis: a meta-analysis
Authors: Yu Xuehua , Zhang Ning , Wu Jing , Zhao Yunhong , Liu Chengjiang , Liu Gaifang 
Published: May 2023

Abstract
Background Severe acute pancreatitis (SAP) is a dangerous condition with a high mortality rate. Many studies have found an association between adipokines and the development of SAP, but the results are controversial. Therefore, we performed a meta-analysis of the association of inflammatory adipokines with SAP.
Methods We screened PubMed, EMBASE, Web of Science and Cochrane Library for articles on adipokines and SAP published before March 2, 2023. The quality of the literature was assessed using QUADAS criteria. Standardised mean differences (SMD) with 95% confidence intervals (CI) were calculated to assess the combined effect. Subgroup analysis, sensitivity analysis and publication bias tests were also performed on the information obtained.
Result Fifteen eligible studies included 936 patients with acute pancreatitis (AP). Pooled analysis showed that patients with SAP had significantly higher levels of circulating resistin (SMD = 0.55, 95% CI:0.15 to 0.94, z = 2.70, P = 0.007). The difference in circulating leptin and adiponectin levels between SAP and MAP patients was not significant (SMD = 0.31, 95% CI: -0.11 to 0.73, z = 1.44, P = 0.149 and SMD = -0.07, 95% CI: -0.30 to 0.16, z = 0.57, P = 0.570). Subgroup analyses identified mean age of the patients as possible sources of circulating resistin level heterogeneity.
Conclusion Elevated levels of circulating resistin levels are associated with the development of SAP. Resistin may be potential biomarkers and therapeutic targets for SAP. However, the age of the patient may influence these results.