bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effectiveness of Predicting The Spatial Distributions of Target Contaminants of a Coking Plant Based On Their Related Pollutants
Authors: Qiao Pengwei , Lai Donglin , Yang Sucai , Zhao Qianyun , Wang Hengqin 
Published: September 2021

Abstract
The prediction accuracy of the spatial distribution of soil pollutants at a site is relatively low. Related pollutants can be used as auxiliary variables to improve the prediction accuracy. However, little relevant research has been conducted on site soil pollution. To analyze the prediction accuracy of target pollutants combined with auxiliary pollutants, Cu, toluene, and phenanthrene were selected as the target pollutants for this study. Based on geostatistical analysis and spatial analysis, the following results were obtained. (1) The reduction rate of the root mean square errors (RMSEs) for Cu, toluene, and phenanthrene with multivariable cokriging were 68.4%, 81.6%, and 81.2%, respectively, which are proportional to the correlation coefficient of the relationship between the auxiliary pollutants and the target pollutants. (2) The predicted results for Cu, phenanthrene, and toluene and their corresponding related pollutants are more accurate than the results obtained not using the related pollutants. (3) In the interpolation process, the RMSEs for Cu, toluene, and phenanthrene with multivariable cokriging basically increase as the neighborhood sample data increases, and then they become stable. (4) When 84, 61, and 34 sample points were removed, the RMSEs for Cu, toluene, and phenanthrene, respectively with multivariable cokriging were close to the RMSEs of the target pollutants based on the total samples. The results are of great significance to improving the prediction accuracy of the spatial distribution of soil pollutants at coking plant sites.
Genetic Analysis And Traits Association Study In Marker-Assisted Multi-Drought-Traits Pyramided Genotypes Under Reproductive-Stage Moisture Stress In Rice (Oryza Sativa L.)
Authors: Katral Ashvinkumar , Biradar Hanamareddy , Harijan Yallappa , R. Aruna Y. , Hadimani Jagadeesh , Hittalmani Shailaja 
Published: September 2021

Abstract
Reproductive-stage drought-stress is a major production constraint in rainfed rice ecosystem. Emergence of marker-assisted breeding strategies for developing drought-tolerant rice varieties are being optimized through exploiting adaptive-traits for their increased contribution towards grain-yield under recurring-drought. Grain-yield is a complex-trait; requires knowledge of genetics and association among yield contributing component-traits. Current study was undertaken using 21 marker-assisted multi-drought-traits pyramided genotypes responses for genetic variability and association of traits for grain-yield under aerobic and reproductive-stage drought conditions. Field evaluation was carried-out in two seasons and data was collected on various parameters. Path-coefficient analysis was used as a selection criterion to select yield contributing-traits and found nine phenotypic traits were having a positive direct-effect on grain-yield during both and/or at least one season under both moisture-regimes. The data from summer and Kharif seasons have been pooled within their respective moisture-regimes due to the non-significance of Levene’s test of homogeneity of variances and estimated BLUP values. ANOVA based on BLUP values revealed significant differences for moisture-conditions and also among genotypes. Phenotypic variation via. box-plots and histogram depicted mean phenotypic differences of traits under two moisture-regimes. Majority of the traits possessed high PCV and GCV with high heritability and GAM indicating higher trait expression and additive gene action lead to effectiveness of selection under drought/moisture stress. Grain-yield possessed a positive correlation with all the component-traits under consideration during both moisture-regimes. Selection of genotypes based on these component-traits were rewarding and seems to be better selection-criteria. Finally, we can end-up with superior-genotypes suitable for intermittent-drought conditions.
Salidroside Alleviates Lipid Metabolism Disorder and Inflammatory Response, and Promotes Hepatocyte Proliferation in Fatty Liver-Hemorrhagic Syndrome of Laying Hens
Authors: Cui Zhifu , Jin Ningning , Amevor Felix Kwame , Li Liang , Shu Gang , Du Xiaxia , Kang Xincheng , Xu Dan , Ning Zifan , Deng Xun , Song Weizhen , Tian Yaofu , Zhu Qing , Wang Yan , Li Diyan , Zhang Yao , Wang Xiaoqi , Han Xue , Feng Jing , Zhao Xiaoling 
Published: September 2021

Abstract
Background: Fatty liver hemorrhagic syndrome (FLHS) is a chronic hepatic disease which occurs when there is a disorder in lipid metabolism. This disease is often observed in caged laying hens and characterized by a decrease in egg production and dramatic increase of mortality. Salidroside (SDS) is an herbal drug which has shown numerous pharmacological activities, such as protective effects on mitochondrial function, attenuates cell apoptosis and inflammation, and promotes strong antioxidant defense system. We aimed to determine the therapeutic effects of SDS on FLHS in laying hens and investigate the underlying mechanisms through which SDS operates these functions. We constructed oleic acid (OA)-induced fatty liver model in vitro and high-fat diet-induced FLHS of laying hens in vivo.Results: Results indicated that SDS inhibited OA-induced lipid accumulation in chicken primary hepatocytes, increased hepatocyte activity, elevated the mRNA expression of proliferation related genes PCNA, CDK2, and cyclinD1 and increased the protein levels of PCNA and CDK2, as well as decreased the cleavage levels of Caspase-9, Caspase-8, and Caspase-3 and apoptosis in hepatocytes. Moreover, SDS promoted the phosphorylation levels of PDK1, AKT, and Gsk3-β, while inhabited the PI3K inhibitor. Additionally, we found that high-fat diet-induced FLHS of laying hens in vivo resulted in heavier body weight, liver weight, and abdominal fat weight, and severer steatosis in histology, compared with the control group (Con). However, SDS maintained lighter body weight, liver weight, and abdominal fat weight and alleviate hepatic steatosis in Model+SDS group. In addition, high-fat diet-induced FLHS (Model) of laying hens had higher total cholesterol (TC), triglyceride (TG), alanine transaminase (ALT), and aspartate aminotransferase (AST) levels in serum than Con group, while SDS maintained low TC, TG, ALT, and AST levels and high Superoxide dismutase (SOD) activity in Model+SDS group. Moreover, SDS decreased the mRNA expression abundances of PPARγ, SCD, and FAS in liver, whereas increased those of PPARα and MTTP, and decreased the mRNA expression of TNF-α, IL-1β, IL-6, and IL-8 in Model+SDS group.Conclusions: Generally, SDS attenuated OA-induced ROS generation, inhibited lipid accumulation and hepatocyte apoptosis, and promoted hepatocyte proliferation by targeting the pathway PI3K/AKT/Gsk3-β in OA-induced fatty liver model in vitro, and alleviated high-fat diet-induced hepatic steatosis, oxidative stress, and inflammatory response in laying hens in vivo.
Piezo Type Mechanosensitive Ion Channel Component 1 is Required for Heart Development in Zebrafish
Authors: Liu Yufeng , Fang Zhiyu , Chen Yibo , Zou Siyuan , Sui Jize , Kang Yujia , shi jinlei 
Published: September 2021

Abstract
PIEZO1 is a non-selective cation channel protein that converts mechanical stimuli into electrochemical signals through mechanical force transmission. In recent years, more and more attention has been paid to its relationship with cardiovascular development and related diseases. However, PIEZO1 is difficult to be used as a therapeutic target due to incomplete study of its related phenotype and mechanism. Starting with the phenotypes of zebrafish at different stages of development, piezo1 knockout zebrafish features decreased heart rate in embryonic stage, increased heart size in 72dpf larvae, as well as ventricular enlargement, passivation and increased immune infiltration in adult stage. Further characterization revealed the relationship between PIEZO1 and AcanA protein at embryonic stage, and hand2 protein at adult stage. Through further RNA-seq analysis, ptpn21 downregulation, shox2 upregulation, itga4 upregulation were used to explain ventricular enlargement, heart rate decrease and immune infiltration increase respectively. Overall, this study provides a theoretical basis for elucidating the mechanism of PIEZO1 in regulating cardiac development.
Scenario Simulation For The Urban Carrying Capacity Based On System Dynamics Model In Shanghai, China
Authors: Tao Tianhui , Shi Yishao , Cao Xiangyang , Wang Zhu 
Published: September 2021

Abstract
Shanghai, as an international metropolis, is embracing an ever-growing population and ongoing economic development, the pressure on the natural resources and the environment is continually increased. How to ease the tension among economy, resources and the environment? The sustainable green development of Shanghai has been the focus of the public and the government. Urban carrying capacity involves complex interactions among population, economy, resources and environment. Understanding how the balance among various elements is an important scientific question for sustainable green development in Shanghai. For this purpose, the balance between urban development and ecological resources was emphasized, and population carrying capacity, GDP, green ecological index and added value of secondary industry were introduced to measure urban carrying capacity. Here, the dynamic changes of the carrying population, GDP, green ecological index and the added value of the secondary industry in Shanghai during 2018-2035 were simulated using a system dynamics model including four subsystems and 65 variables from a macroscopic perspective. Five development scenarios have been employed during the simulation namely status-quo scenario, economic-centric scenario, high-tech-centric scenario, environment-centric scenario and coordinated equilibrium scenario. The simulation results indicated that the potential of carrying population will decline by 2035, and the economic and ecological indicators will also be at the low level under the status-quo scenario, which is an inferior option. While Under coordinated equilibrium scenario, the ecological environment, population growth and economic development all perform excellently, which is the best option. Therefore, the urban carrying capacity of population-economy-resources in Shanghai may be improved by increasing the investment in scientific research, rising the expenditure on environmental protection and improving the recycling efficiency of waste solid and water. The results provide insights into the urban carrying capacity of Shanghai city.
Factors Affecting Spine–Femur Discordance in The Percentage of Young Adult Mean On Dual-Energy X-Ray Absorptiometry in The Elderly Population: A Retrospective Study
Authors: Akiyama Shoshi , Tanaka Takaaki , Udaka Jun , Inagaki Naoya , Kumagae Yoshio , Chazono Masaaki , Matsuoka Tatsuki , Saito Mitsuru 
Published: September 2021

Abstract
Background
Several retrospective studies have reported spine–femur discordance in bone mineral density (BMD) values. However, the average age of individuals in these studies was the mid-50s, which is younger than the typical age of individuals requiring treatment for primary osteoporosis. Therefore, we aimed to investigate factors associated with discordance in the percentage of young adult mean (YAM) between the lumbar spine and femoral neck in the elderly population.
Methods
We evaluated 4549 dual-energy X-ray absorptiometry (DXA) measurements obtained from 2161 patients (269 men and 1892 women) between January 2014 and December 2017 at our hospital. For individuals with more than one eligible set of measurements, the first record was used. We investigated each patient’s age, sex, body mass index, current smoking status, alcohol consumption, use of steroids, presence of diabetes mellitus, and presence of rheumatoid arthritis.
Results
The mean age of the patients was 76.4 ± 8.9 years. Older age (p < 0.001), male sex (p < 0.001), and diabetes mellitus (p = 0.007) were significantly associated with spine–femur discordance in the percentage of YAM.
Conclusion
The frequency and magnitude of spine–femur discordance in the percentage of YAM from DXA scans increased with age. Notably, more than 77.36% of patients in their 90s had spine–femur discordance > 10% of YAM. Furthermore, the frequency of spine–femur discordance was higher in men and in patients with diabetes mellitus, suggesting that the percentage of YAM at the lumbar spine may not be reliable for diagnosis of osteoporosis in patients with these factors.
Preclinical Imaging Evaluation of MiRNAs Delivery and Effects in Breast Cancer Mouse Models: A Systematic Review
Authors: Orlandella Francesca Maria , Auletta Luigi , Greco Adelaide , Zannetti Antonella , Salvatore Giuliana 
Published: September 2021

Abstract
Background: miRNAs have been defined as a tumor suppressor or oncogene (oncomiR) in several human cancers. We have conducted a systematic review highlighting and specifically focusing in the advancements in preclinical molecular imaging to study in vivo the delivery and the therapeutic efficacy of miRNAs in mouse models of breast cancer.Methods: A systematic review of English articles published in peer-reviewed journals using PubMed® (including MEDLINE®), EMBASE, BIOSIS™, Scopus was performed. Search terms included breast cancer, mouse, mice, microRNA(s) and miRNA(s). The search was focused on the last five years (2015-2021). All studies using miRNA in breast cancer models which included a preclinical imaging evaluation, both in vivo or ex vivo were analyzed. Result: From a total of 2,073 records, 1,221 papers were assessed for full text eligibility, but excluding all those in which there was no use of mouse models of breast cancer, there was not in vivo imaging or ex vivo on whole organs, and without a clear link to a miRNA, our final data extraction was made on a total of 114 manuscripts. The murine genetic background most used in miRNA studies have been resulted to be the Balb/C (46,7%). Regarding cell lines, MDA-MB-231 parental and derived cells were used in most experiments (62,5%). The most used model was the i.v. metastatic model (46,8%), which was obtained via intravenous injection (68,9%) in the tail vein. The modulation of miRNA was obtained mainly by stable transfection with specific lentiviral plasmid or DNA constructs in luciferase- labelled BC cells (54,4%). Bioluminescence resulted the most used tool (64%) and was used as a surrogate of tumor growth for efficacy treatment or for the evaluation of tumorigenicity in miRNA transfected cells (29,9%); for tracking, evaluation of engraftment and for response to therapy in metastatic models (50,6%).Conclusion: this review provides a systematic and focused analysis of all the information currently available and related to the imaging protocols to test miRNA therapy in in vivo mice model of BC and has the purpose to provide an important tool to suggest the best pre-clinical imaging protocol on currently available evidences.
Different Occurrence Rates of Centrally Located Cytoplasmic Granulation in One Cohort Oocytes Show Distinctive Embryo Competence and Clinical Outcomes
Authors: Sun Fangyuan , Cun Jintao , Huang Rongfang , Chen Yunyan , Verwoerd Gideon , Yu Yuansong 
Published: September 2021

Abstract

Background
Centrally located cytoplasmic granulation (CLCG) is a common cytoplasmic dysmorphism in human oocytes retrieved after controlled ovarian hyperstimulation (COH). This study sought to achieve a better understanding of its formation and effects on clinical outcomes.
Methods
We retrospectively analyzed the data from 422 intracytoplasmic sperm injection (ICSI) treatment cycles. Three groups of patients were classified according to the rates of CLCG occurrence in one egg cohort, as partial (pCLCG) all (aCLCG) and no CLCG (control).
Results
The pCLCG group had a significantly lower Body Mass Index (BMI) and higher Anti-Mullerian hormone (AMH) level compared to the control or aCLCG groups. Consistent with these distinctive features in the pCLCG group, fertilization and blastocyst formation rates were reduced significantly in the pCLCG group but not in the aCLCG group. Furthermore, the clinical outcomes in fresh embryo transfer cycles were dramatically reduced in the pCLCG group compared with the control group. However, in frozen/thawed cycles, all three clinical outcomes were significantly reduced in the aCLCG group but not in the pCLCG group.
Conclusion
We propose that pCLCG may reflect a specific population of patients, and that the CLCG structure is sensitive to cryopreservation.
Novel System to Monitor In Vivo Neural Graft Activity After Spinal Cord Injury
Authors: Ago Kentaro , Nagoshi Narihito , Imaizumi Kent , Kitagawa Takahiro , Kawai Momotaro , Kajikawa Keita , Shibata Reo , Kamata Yasuhiro , Kojima Kota , Shinozaki Munehisa , Kondo Takahiro , Iwano Satoshi , Miyawaki Atsushi , Ohtsuka Masanari , Bito Haruhiko , Kobayashi Kenta , Shibata Shinsuke , Shindo Tomoko , Kohyama Jun , Matsumoto Morio , Nakamura Masaya , Okano Hideyuki 
Published: September 2021

Abstract
Expectations for neural stem/progenitor cell (NS/PC) transplantation as a treatment for spinal cord injury (SCI) are increasing. However, whether and how grafted cells are incorporated into the host neural circuit and contribute to motor function recovery remain unknown. The aim of this project was to establish a novel non-invasive in vivo imaging system to visualize the activity of neural grafts by which we can simultaneously demonstrate the circuit-level integration between the graft and host, and the contribution of graft neuronal activity to host behaviour. We introduced Akaluc, a newly engineered luciferase, under control of a potent neuronal activity-dependent synthetic promoter, E-SARE, into NS/PCs and engrafted the cells into SCI model mice. Through the use of this system, we reveal that the activity of grafted cells was integrated with host behaviour and driven by host neural circuit inputs. This non-invasive system is expected to help elucidate the therapeutic mechanism of cell transplantation treatment for SCI and determine better therapy techniques that maximize the function of cells in the host circuit.
Research on Intelligent Language Translation System Based on Deep Learning Algorithm
Authors: Shi Chunliu 
Published: September 2021

Abstract
In order to improve the effect of intelligent language translation, this paper analyzes the problems of the MSE cost function used by most of the current DNN-based speech enhancement algorithms, and proposes a deep learning speech enhancement algorithm based on perception-related cost functions. Moreover, this paper embeds the suppression gain parameter estimation into the architecture of the traditional speech enhancement algorithm, and converts the relationship between the noisy speech spectrum and the enhanced speech spectrum into a simple multiplication relationship based on suppression gain combined with deep learning algorithms to construct an intelligent language translation system. Moreover, this paper evaluates the translation effect of the system, analyzes the actual results, and uses simulation tests to verify the performance of the intelligent language translation model constructed in this paper. From the experimental results, it can be seen that the intelligent language translation system based on deep learning algorithms has good results.
Contralateral Prophylactic Mastectomy Improves Survival Only Marginally in Patients with Unilateral Triple-Negative Breast Cancer: A Cohort Study Based on SEER Database
Authors: Yang Pengcheng , Chu Yuxin , Li Qian , Lei Tianyu , Song Jia , Ning Tingting , Hu Qinyong 
Published: September 2021

Abstract
Background: The effect of contralateral prophylactic mastectomy (CPM) on the survival rate of triple-negative breast cancer (TNBC) patients is still controversial. The purpose of this study was to confirm whether unilateral TNBC patients benefit from CPM.Methods: 10006 patients with unilateral TNBC in the Surveillance, Epidemiology and End Results (SEER) database were enrolled in this study, propensity score matching (PSM) was applied to balance patient assignments. After PSM,3039 pairs of patients were divided into a CPM group and no-CPM group, respectively. All the patients have undergone total mastectomy or radical mastectomy. Cox proportional hazards regression models were used to evaluate overall survival (OS) and breast cancer-specific survival (BCSS) of the two groups. Subgroup analysis was introduced to exclude the effect of confounding factors. To identify potential variables for prognosis, Kaplan–Meier survival analysis and Cox regression analysis were used and were presented by Kaplan–Meier curve and forest plot separately.Results: With a median follow‐up time of 34.5months (IQR 1–83 months), the estimated 5-year BCSS rates for patients in the CPM group and the no-CPM group were 81.96% and 78.71%, the 5-year OS rates were 80.10% and 75.05%, respectively. CPM improved the BCSS (hazard ratio [HR]= 0.79; 95% confidence interval [CI]=0.69-0.90, p=0.001) and OS (HR= 0.74; 95% CI=0.66-0.84, p<0.001) of unilateral TNBC patients. Univariate subgroup analyses revealed that there was no significant difference in survival time for patients in stage N3 who underwent CPM or not (p>0.05).Conclusions: CPM only limitedly improved BCSS and OS in patients with unilateral TNBC undergoing total mastectomy or radical mastectomy and was not recommended for stage N3 patients.
Study and Prediction of Bone Strength of Osteoporosis Model Based on Synchrotron Radiation
Authors: Li Wanyu , Xu Jun , Zhang Shunan , Guo Han , Sun Jianqi , Wang Yujie , Zhao Jun 
Published: September 2021

Abstract
Background: As the gold standard for clinical osteoporosis diagnosis, bone mineral density has significant limitations in bone strength assessment and fracture risk prediction. The purpose of this study is to explore a new osteoporotic bone quality evaluation criteria from both diagnosis site selection and bone strength prediction. Methods: Ovariectomized rats with different intensity swimming therapy were investigated in this study. The lumbar vertebrae and femurs of all the rats were scanned by synchrotron radiation computed tomography. Bone microstructure analysis and finite element analysis were combined to obtain bone microstructure parameters and estimated bone strength. And the sensitivity of different skeletal sites to therapy was explored. An elastic network regression model was established to predict bone strength by integrating additional bone microstructure characteristics besides bone mass.Results: Histomorphometry analysis showed that swimming therapy could reduce the risk of osteoporosis of lumbar vertebrae and femur and suggested that the femur might be a more suitable site for osteoporosis diagnosis and efficacy evaluation than the lumbar vertebrae. The average coefficient of determination and average root mean squared error of our predictive model were 0.774 and 0.110. Bland-Altman analysis showed that our model could be a good alternative to the finite element method. Conclusions: The present study developed a machine learning model for prediction of bone strength of osteoporosis model based on synchrotron x-ray imaging and demonstrated that different skeletal sites had different sensitivity to therapy, which is of great significance for the early diagnosis of osteoporosis, the prevention of fractures and the monitoring of therapy.