bluuebunny/crossref_metadata_2025_split huggingface dataset:
Weekly earthquake prediction in a region of China based on an intensive precursor network AETA
Authors: Xie Jinhan , Yong Shanshan , Wang Xin’an , Bao Zhenyu , Liu Yibin , Zhang Xing , He Chunjiu 
Published: September 2022

Once a majority of earthquakes occur without prediction, it is very likely to have a huge impact on human society. To solve the worldwide challenging problem of earthquake prediction, our laboratory has developed a set of sensory systems to monitor the abnormal activity of geological signals before an earthquake happens in China. At present, more than 300 stations have been deployed, and the observation time has exceeded 4 years. Based on the various geological activities collected, a local correlation tracking method is used to capture signal anomalies before an earthquake, and then the ROC curve is used for the evaluation of the predictive accuracy. The method is applied in the Sichuan-Yunnan area weekly, verifying the forecast within a 91-week time frame and a 30-week time frame. The method proposed in this article has earthquake prediction ability with a rate of over 70%. It promotes and contributes to helping people avoid the fear of unpredictable earthquakes.
A grounding zone wedge origin for the Palaeoproterozoic Makganyene Formation of South Africa
Authors: Le Heron D. P. , Busfield M. E. , Smith A. J. B. , Wimmer S. 
Published: September 2022

The Makganyene Formation is a Siderian (2.45–2.22 Ga) diamictite-dominated succession, with both outcrop and subcrop in the Griqualand West Basin of the Transvaal Group of South Africa. We provide new outcrop and core descriptions from this succession, supplemented by microscopic analyses, to present an updated depositional model for a classic Palaeoproterozoic diamictite. Although internal correlation of core and outcrop successions is not possible, a recurring pattern is observed where diamictites are organised into coarsening-upward motifs at the tens of metres scale. With additional finds of striated clasts, and evidence for dropstones both at the core scale and at the microscopic scale, earlier interpretations of glacial control on sedimentation can be substantiated, with modification of glacial diamictites by mass flow processes also recognised. Overall, given the characteristic progradational stratigraphic architecture, we propose a new model for the Makganyene Formation which is considered to represent deposition of a grounding zone wedge at an ancient, oscillating ice margin.
Redox species and oxygen fugacity of slab-derived fluids: Implications for mantle oxidation and deep carbon-sulfur cycling
Authors: Li Yi-Bing , Chen Yi , Su Bin , Zhang Qing-Hua , Shi Kai-Hui 
Published: September 2022

The generation and migration of slab-derived fluids modulate subduction zone seismicity, arc magmatism, and deep volatile cycling. However, the redox species and oxygen fugacity (fO2) (hereafter expressed as log units relative to the fayalite–magnetite–quartz buffer, △FMQ) of slab-derived fluids are highly debated. Here we conducted phase equilibria modeling on altered oceanic crust (AOC) and serpentinites along typical subduction geotherms in the C-S-bearing system over a pressure range of 0.5–6 GPa. With the averaged compositions of AOC and serpentinite, our calculated results show that oxidized carbon-sulfur species dominate slab-derived fluids during slab subduction. As a result, slab-derived fluids are highly oxidized and at or above the typical △FMQ values of arc magmas at forearc to subarc depths. The predicted oxidized carbon and sulfur species are compatible with natural observations in fluid inclusions from many oceanic HP metamorphic rocks. More importantly, it is revealed that, the redox state of slab-derived fluids is primarily controlled by the redox budget (RB) of the slab prior to subduction. Subduction-zone thermal structure, however, only exerts a minor influence on the slab-derived fluid fO2, which is supported by the similar fO2 ranges in arc lavas from cold and hot subduction zones. Our models further show that, if an open system is assumed, most of carbon (&gt;70%) and sulfur (&gt;50%) in cold subducted AOC and serpentinite would be lost at subarc depths. Small amounts of carbon and sulfur could be transported into the deeper mantle via closed-system subduction and open-system cold subduction, supplying the source materials for volatile-rich intraplate magmas and superdeep diamonds.
The 2020 earthquake sequence and seismic hazard scenario of Mizoram state in northeast India
Authors: Bansal Brijesh K. , Sutar Anup K. , Verma Mithila 
Published: September 2022

The Mizoram state of India lies in close proximity to the active Indo-Burma subduction zone and had experienced several moderate to large earthquakes, including the M7 event in 1938. Since 2015, only two events with 5&lt;M&lt;6 have occurred in the area, however, a sudden enhancement of earthquake activity (M3.0–M5.7) was observed from June to August 2020 in the eastern part of the Mizoram state, including the four events of M ≥ 5.0. We analysed the waveform data of 21 events recorded by the local and regional BBS to estimate the source parameters. The focal depth of these events varies from 13 to 45 km, while other parameters such as corner frequency, source radius, stress drop, and scalar seismic moment of the events are found in the range of 0.45–3.36 Hz, 0.77–5.58 km, 1.3–193 bars, and 3.98107E+13 to 6.30957E+17 Nm, respectively. The seismicity pattern shows two distinct clusters along the well-demarcated faults in the region, and most of them are generated by strike-slip movements. The Churachandpur-Mao Fault (CMF) is found to be the most active tectonic element in the study area. Hence, an M8 event has been simulated on the same fault using the stochastic simulation technique. The technique was validated by simulating the three M+5 events on the same source zone and comparing the simulated PGA, frequency, and response spectrum with the observed data. The simulation reveals that a PGA ∼480 gals is expected near the fault zone. The easternmost districts of Mizoram, such as Champai, Serchhip, Lunglei, Saiha, and Aizawl, may experience severe PGA (250–450 gals). The response spectral acceleration corresponding to single-storey, double-storey, 3–4 storey, and 5–6 storey buildings has also been estimated in the present study and it is found to vary in the range of 1,400–200 gals. The result of the present study will be useful in various engineering applications and help reduce the loss of lives and damage to infrastructure due to future large events in the region.
Gut microbiota is associated with differential metabolic characteristics: A study on a defined cohort of Africans and Chinese
Authors: Nizigiyimana Paul , Xu Boya , Liu Lerong , Luo Liping , Liu Tingting , Jiang Meng , Liu Zehao , Li Changjun , Luo Xianghang , Lei Minxiang 
Published: September 2022

ObjectiveThis study intended to determine the associations between gut microbiota and glucose response in healthy individuals and analyze the connection between the gut microbiome and glucose-metabolism-related parameters.MethodsFecal bacterial composition and anthropometric, body composition, body fat distribution, and biochemical measures were analyzed. A 75-g oral glucose tolerance test (OGTT) was given to each participant to investigate changes in glucagon-like peptide 1 (GLP-1), insulin, and glucose. The whole body fat and the regions of interest of local body composition were analyzed using dual-energy X-ray absorptiometry (DEXA), and gut microbiota composition was assessed through variable regions (V3–V4) of the bacterial 16s ribosomal RNA gene using high-throughput sequencing techniques. Spearman correlation analysis was used to evaluate the association between gut microbiota and clinical and metabolic changes.ResultsThe number of operational taxonomic units (OTUs) demonstrated a reduction in the diversity and composition of gut microbiota associated with enhanced adiposity, dyslipidemia, insulin resistance, and hyperglycemia. The alpha diversity revealed that microbiota diversity, richness, and composition were higher in the African group and lower in the Chinese group. Principal coordinates analysis (PCoA) plots of beta diversity showed significant variability in gut microbial community structure between the two groups (p = 0.0009). LEfSe analysis showed that phylum Bacteroidetes was significantly more abundant in the Chinese group, and this group also harbored members of the order Bacteroidales, family Bacteroidaceae, and genus Bacteroides. In contrast, the phylum Verrucomicrobia was significantly more prevalent in the African group (all p &lt; 0.05). Concerning species, metastats analysis revealed 8 species in the Chinese group and 18 species in the African group that were significantly abundant. Spearman’s correlation analysis demonstrated that gut microbiota correlated with the factors that related to glucose metabolism.ConclusionOur data suggest that there is an interaction between gut microbiota, host physiology, and glucometabolic pathways, and this could contribute to adiposity and pathophysiology of hyperlipidemia, insulin resistance, and hyperglycemia. These findings provide an important basis for determining the relation between the gut microbiota and the pathogenesis of various metabolic disorders.
The impact of genetic variants in the CYP2C8 gene on bladder cancer susceptibility
Authors: Qu Weixing , Zhang Fuzhou , Cheng Yongyi , Li Jing , Zhou Jiancheng 
Published: September 2022

BackgroundBladder cancer is the most common leading cause of mortality around the world. Previous studies have indicated that genetic factors are significantly associated with bladder cancer progression—for instance, the CYP2C8 gene is involved in bladder cancer progression. However, little is known about the impact of CYP2C8 genetic polymorphisms on bladder cancer risk. We aimed to detect the association between CYP2C8 variations and bladder cancer susceptibility.MethodsThis study included 550 healthy subjects and 217 bladder cancer patients. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to determine the correlation of CYP2C8 polymorphisms with bladder cancer risk. Multifactor dimensionality reduction (MDR) was carried out to investigate the influence of single-nucleotide polymorphism (SNP)–SNP interactions on bladder cancer.ResultsOur study showed that two SNPs were significantly associated with an increased risk of bladder cancer (rs1934951: OR 1.96, 95% CI 1.37–2.82, p = 2.67E-04; rs17110453: OR 1.89, 95% CI 1.35–2.67, p = 2.53E-04). On the contrary, two SNPs identified in the study had protective effects on bladder cancer (rs1934953: OR 0.26, 95% CI 0.14–0.47, p = 1.20E-05; rs2275620: OR 0.40, 95% CI 0.21–0.76, p = 0.005). The MDR analysis suggested that the combination of rs1934953, rs1934951, rs2275620, and rs17110453 was the best model to predict bladder cancer (CVC 10/10, testing accuracy 0.6720, p &lt; 0.0001).ConclusionThere was a significant association between CYP2C8 polymorphisms (rs1934953, rs1934951, rs2275620, and rs17110453) and susceptibility to bladder cancer.
Expansion of typical lakes in Xinjiang under the combined effects of climate change and human activities
Authors: Wang Wenqi , Jiao Ayong , Shan Qianjuan , Wang Zikang , Kong Zijie , Ling Hongbo , Deng Xiaoya 
Published: September 2022

Lakes are important guarantees of regional economic development and ecological security. Previous studies focused on trends of surface area and water level of lakes in Xinjiang, but paid less attention to nonlinear change and driving mechanisms of lake areas at annual and monthly scales. To address this issue, this study used a remote-sensing Big Data cloud platform and mathematical statistical methods to investigate the change in typical lakes and its attribution in Xinjiang during 1986–2020. The results showed that: 1) there was a significant linear trend in Xinjiang lakes: except for Jili Lake, the plains lakes showed an insignificant (p &gt; 0.1) expansion trend, while the mountain lakes showed an significant expansion trend (p &lt; 0.01). 2) There was a significant nonlinear trend in Xinjiang lakes: most of the plains lakes showed periodicity at 14 and 21 years, however most of the mountain lakes showed periodicity at 17 and 21 years. Most of the mutation trends of plains lakes were not significant, yet the mutation trends of mountain lakes showed significant expansion. 3) Human activities were the dominant factor leading to changes in the plains lakes: among the anthropogenic factors, farmland area, GDP, and population had significant effects on lake area (p &lt; 0.1), and lake expansion was closely related to population and farmland area. Among climatic elements, precipitation mainly affected the changes in plains lakes. 4) Climate change was the dominant factor leading to changes in mountain lakes. The effects of temperature change on mountain lakes were all significantly positive (p &lt; 0.05). In the future, it will be necessary to build lake protection schemes that adapt to climate change and human disturbances. This study can provide an important scientific basis for the rational development and utilization of lakes in Xinjiang.
Estimating NOX, VOC, and CO variability over India’s 1st smart city: Bhubaneswar
Authors: Sahu Saroj Kumar , Mangaraj Poonam , Tyagi Bhishma , Yadav Ravi , Paul Oscar , Chaulya Sourav , Pradhan Chinmay , Das N. , Sahoo Pallavi , Beig Gufran 
Published: September 2022

Volatile organic compounds including benzene, toluene, ethyl benzene, and xylene (BTEX) in the atmosphere have severe health and environmental implications. These variables are trace elements in the atmosphere. There are not enough measurement and analysis studies related to atmospheric BTEX variation globally, and studies are even less in developing countries like India. The present study analyses BTEX variations over an eastern Indian site, Bhubaneswar. The continuous measurement of BTEX is first of its kind over Bhubaneswar. The study analyses 2 years of BTEX data (2017–2018), and attempts to find the relation with meteorological parameters, the significance of the ratio between components, along with the analysis of transported air masses. To account for the pattern of emissions in association with BTEX variability over Bhubaneswar, we have also developed emission details from the transportation sector for the year 2018 and analyzed the emission patterns of CO and NOx for the year 2018. The results indicated that BTEX concentrations are maintained at the site via transportation from other regions, with significant local generation of BTEX, which is smaller in comparison to the transported emission.
Consensus genomic regions associated with grain protein content in hexaploid and tetraploid wheat
Authors: Saini Pooja , Sheikh Imran , Saini Dinesh Kumar , Mir Reyazul Rouf , Dhaliwal Harcharan Singh , Tyagi Vikrant 
Published: September 2022

A meta-analysis of QTLs associated with grain protein content (GPC) was conducted in hexaploid and tetraploid wheat to identify robust and stable meta-QTLs (MQTLs). For this purpose, as many as 459 GPC-related QTLs retrieved from 48 linkage-based QTL mapping studies were projected onto the newly developed wheat consensus map. The analysis resulted in the prediction of 57 MQTLs and 7 QTL hotspots located on all wheat chromosomes (except chromosomes 1D and 4D) and the average confidence interval reduced 2.71-fold in the MQTLs and QTL hotspots compared to the initial QTLs. The physical regions occupied by the MQTLs ranged from 140 bp to 224.02 Mb with an average of 15.2 Mb, whereas the physical regions occupied by QTL hotspots ranged from 1.81 Mb to 36.03 Mb with a mean of 8.82 Mb. Nineteen MQTLs and two QTL hotspots were also found to be co-localized with 45 significant SNPs identified in 16 previously published genome-wide association studies in wheat. Candidate gene (CG) investigation within some selected MQTLs led to the identification of 705 gene models which also included 96 high-confidence CGs showing significant expressions in different grain-related tissues and having probable roles in GPC regulation. These significantly expressed CGs mainly involved the genes/gene families encoding for the following proteins: aminotransferases, early nodulin 93, glutamine synthetases, invertase/pectin methylesterase inhibitors, protein BIG GRAIN 1-like, cytochrome P450, glycosyl transferases, hexokinases, small GTPases, UDP-glucuronosyl/UDP-glucosyltransferases, and EamA, SANT/Myb, GNAT, thioredoxin, phytocyanin, and homeobox domains containing proteins. Further, eight genes including GPC-B1, Glu-B1-1b, Glu-1By9, TaBiP1, GSr, TaNAC019-A, TaNAC019-D, and bZIP-TF SPA already known to be associated with GPC were also detected within some of the MQTL regions confirming the efficacy of MQTLs predicted during the current study.
Comprehensive analysis of liquid-liquid phase separation-related genes in prediction of breast cancer prognosis
Authors: Yu-Qing Huang , Peng-Ping Li , Ke Sun , Ke-Xing Yin , Wei-Jun Zhang , Zhen-Yu Wang 
Published: September 2022

Objective: Liquid-liquid phase separation (LLPS) is a functional unit formed by specific molecules. It lacks a membrane and has been reported to play a crucial role in tumor drug resistance and growth by regulating gene expression and drug distribution. However, whether LLPS could be used to predict cancer prognosis was not clear. This study aimed to construct a prognostic model for breast cancer based on LLPS-correlated genes (LCGs).Methods: LCGs were identified using the PhaSepDB, gene expression profile and clinical characteristics of breast cancer were obtained from TCGA and cBioportal. The PanCancer Atlas (TCGA) cohort was used as the training cohort to construct the prognostic model, while the Nature 2012 and Nat Commun 2016 (TCGA) cohort and GEO data were used as test cohort to perform external verification. Data analysis was performed with R4.2.0 and SPSS20.0.Results: We identified 140 prognosis-related LCGs (pLCGs) (p&lt; 0.01) in all cohorts, 240 pLCGs (p&lt; 0.01) in the luminal cohort, and 28 pLCGs (p&lt; 0.05) in the triple-negative breast cancer (TNBC) cohort. Twelve genes in all cohorts (training cohort: 5/10-year ROC values were 0.76 and 0.77; verification cohort: 5/10-year ROC values were 0.61 and 0.58), eight genes in the luminal cohort (training cohort: 5/10-year ROC values were 0.79 and 0.75; verification cohort: 5/10-year ROC values were 0.62 and 0.62), and four genes in the TNBC cohort (training cohort: 5/10-year ROC values were 0.73 and 0.79; verification cohort: 5/10-year ROC values were 0.55 and 0.54) were screened out to construct the prognostic prediction model. The 17-gene risk-score was constructed in all cohorts (1/3/5-year ROC values were 0.88, 0.83, and 0.81), and the 11-gene risk-score was constructed in the luminal cohort (1/3/5-year ROC values were 0.67, 0.85 and 0.84), and the six-gene risk-score was constructed in the TNBC cohort (1/3/5-year ROC value were 0.87, 0.88 and 0.81). Finally, the risk-score and clinical factors were applied to construct nomograms in all cohorts (1/3/5-year ROC values were 0.89, 0.79 and 0.75, C-index = 0.784), in the luminal cohort (1/3/5-year ROC values were 0.84, 0.83 and 0.85, C-index = 0.803), and in the TNBC cohort (1/3/5-year ROC values were 0.95, 0.84 and 0.77, C-index = 0.847).Discussion: This study explored the roles of LCGs in the prediction of breast cancer prognosis.
Clinical significance of SPOCK2 expression signature for high-grade serous ovarian cancer patients
Authors: Jiao Mi , Sun Wenbo , Li Lina , Li Chunyan , Zhou Jing , Li Qian , Duan Lian 
Published: September 2022

Background: SPOCK2 is a member of the SPOCK family, a 424-amino acid protein that binds to glycosaminoglycans to form proteoglycans. The purpose of this study was to explore expression profile of SPOCK2, and evaluate prognostic potential and its correlation with immune infiltration in high-grade serous ovarian cancer (HGSOC).Methods: Expression of SPOCK2 mRNA and protein between normal and tumor tissues were analyzed using the Cancer Genome Atlas database (TCGA), Gene Expression Omnibus (GEO), Clinical Proteomic Tumor Analysis Consortium (CPTAC), and the Human Protein Atlas (HPA) databases. Receiver operating characteristic (ROC) curve was used to evaluate diagnostic performance of SPOCK2. Kaplan-Meier method and Cox regression analysis were conducted to assess the effect of SPOCK2 on survival. Nomogram was used to predict the impact of SPOCK2 on prognosis. LinkedOmics were used to find correlated genes and perform functional enrichment analyses. The relationships between SPOCK2 and tumor infiltrating lymphocytes (TILs) were determined by tumor-immune system interaction database (TISIDB) and GSVA package (V1.34.0).Results: SPOCK2 was highly expressed in HGSOC tissue compared to normal tissue at both mRNA (p &lt; 0.001) and protein (p = 0.03) levels. The area under the curve (AUC) is 0.894 (CI: 0.865–0.923). Kaplan-Meier analysis showed that HGSOC patients with high-level SPOCK2 mRNA expression had a worse overall survival (OS) than those with a low expression (HR = 1.45, p = 0.005). Univariate logistic regression analysis found that age, primary therapy outcome, tumor status, tumor residual, and SPOCK2 expression level were significantly associated with OS (p &lt; 0.05). The nomogram model indicated an effective predictive performance of SPOCK2. Kyoto encyclopedia of genes and genomes (KEGG) and gene ontology (GO) term analyses showed that SPOCK2 were mainly involved in regulating extracellular matrix. Immune infiltration analysis showed that SPOCK2 may correlate with abundance of TILs.Conclusion: SPOCK2 has potentials to estimate diagnosis and prognosis for HGSOC and is involved in regulating extracellular matrix and immune cell infiltration.
Identification and validation of the common pathogenesis and hub biomarkers in Hirschsprung disease complicated with Crohn’s disease
Authors: Wang Jing , Li Zejian , Xiao Jun , Wu Luyao , Chen Ke , Zhu Tianqi , Feng Chenzhao , Zhuansun Didi , Meng Xinyao , Feng Jiexiong 
Published: September 2022

BackgroundAlthough increasing evidence has supported that Hirschsprung disease (HSCR) is the risk factor for children developing Crohn’s disease (CD), the common mechanism of its co-occurrence remains unknown. The purpose of this study is to further explore the underlying mechanism and biomarkers for the co-occurrence of HSCR and CD.MethodsThe Gene Expression Omnibus (GEO) database was used to obtain gene expression profiles for CD (GSE95095) and HSCR (GSE98502). Following the identification of the shared differentially expressed genes (DEGs) of CD and HSCR, functional annotation, protein–protein interaction (PPI) network creation, and module assembly were performed to discover hub genes. RT-qPCR was performed to validate the expression of the hub genes in HSCR samples. The receiver operating characteristic (ROC) curve was utilized to assess the accuracy of the hub genes as biomarkers in predicting CD in both the training dataset and test dataset.ResultsA total of 103 common DEGs (50 downregulated genes and 53 upregulated genes) were chosen for further investigation. The importance of chemokines and cytokines in these two disorders is highlighted by functional analysis. MCODE plug identified three important modules, which functionally enriched the immune system process. Finally, nine hub genes were identified using cytoHubba, including IL1B, IL10, CXCL10, ICAM1, EGR1, FCGR3A, S100A12, S100A9, and FPR1. The nine hub genes were mainly enriched in immune- and inflammation-related pathways. External data profiles and RT-qPCR confirmed the expression of the nine hub genes in HSCR and CD. ROC analysis revealed that the nine hub genes had a strong diagnostic value.ConclusionOur study reveals the common pathogenesis of HSCR and CD. These hub genes and diagnostic models may provide novel insight for the diagnosis and treatment of HSCR complicated with CD.