bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of renewable energy generation efficiency and its influencing factors considering competition between decision making units: A case study of China
Authors: Yang Yugui , Dong Fugui 
Published: March 2022

Abstract
Currently, China's renewable energy power generation industry is facing problems such as mismatch between output and input, and regional imbalance in power generation efficiency. Measuring power generation efficiency and identifying the key constraints to improving it is an important way of exploring measures to improve power generation efficiency from a management perspective. This paper constructs a system of input-output assessment indicators for the efficiency of renewable energy generation in China, and evaluates and analyses the efficiency of hydro, wind and solar power generation in each province of China for the period 2016–2020 using the DEA game cross-efficiency model. The results show widespread inefficiencies and uneven regional development in the three renewable energy generation industries. The hydropower generation efficiency changed little, the wind power generation efficiency decreased slightly, and the solar power generation efficiency gradually increased. On this basis, the key factors affecting the efficiency of hydro, wind and solar power generation in China were analyzed separately through the Tobit model. The results show that natural resources, grid conditions, and inter-provincial power transmission are important factors in improving the efficiency of renewable energy generation. This paper also makes recommendations for improving the efficiency of renewable energy generation in China in terms of policy formulation, technology promotion and grid construction.
Analysis on The Current Situation of Geography Teaching Research in Middle School -Taking China as An Example
Authors: Ni Yunzhang , Gu Hongliang 
Published: March 2022

Abstract
The analysis of the current situation of middle school geography teaching research is of great significance to the future teaching and research. Through combing the research results in recent 20 years, the results show that: (1) The number of documents issued changed gently before 2005, then increased rapidly, but showed a significant downward trend after 2019. (2) Among the top 100 document issuing institutions, urban, county town, and township account for 73%, 22% and 5% respectively. As far as the number of middle school geography teachers is concerned, it has continued to grow over the years, and the number of cities and counties has been higher than that of villages, and villages show a downward trend. (3) In terms of the education background of middle school geography teachers, the proportion of obtaining graduate education increased from 0.78% in 2000 to 7.09% in 2020, and the proportion of less than undergraduate education is becoming less and less. Although the Chinese government's investment in education has increased year by year over the past 20 years, the proportion of education investment in GDP in recent years is about 4%, which is lower than the world average 5.1%. (4) In terms of keyword analysis, there are similarities and differences between Chinese and English literature. The same research hotspots are GIS, environmental education, and map etc. (5) In terms of the number of papers published by researchers, Xu Baofang has the most achievements, with 11 papers and less than 10 others. On the author's cooperative relationship, there is only one cooperative team within the nine-year scale.
A Comprehensive Voltammetric Characterization of In Vivo Histamine Dynamics Reveals Critical Modulatory Roles of This Elusive Messenger
Authors: Berger Shane , Baumberger Beatrice , Samaranayake S , Hersey M , Mena Sergio , Bain Ian , Duncan W , Reed M C , Nijhout F , Best J , Hashemi Parastoo 
Published: March 2022

Abstract
Histamine is well known for mediating peripheral inflammation, but histamine is also found in high concentrations in the brain where amongst other roles, this amine is thought to be neuromodulator. Neuromodulation is critical for brain function, yet histamine dynamics are very difficult to measure and thus several fundamental aspects of the mechanisms that control the extracellular and modulatory behavior of this messenger remain undefined. In this work we undertake the first in-depth characterization of in vivo histamine dynamics in real time using fast-scan cyclic voltammetry at carbon fiber microelectrodes. We measure electrically evoked histamine in the mouse hypothalamus and find that histamine release is sensitive to pharmacological manipulation at the level of synthesis, packaging, autoreceptor control of release, and metabolism. We find two breakthrough aspects of histamine modulation. First, there are differences in H3 receptor regulation of histamine between sexes showing that histamine release in female mice is more much tightly regulated than in male mice under H3 or inflammatory drug challenge. We hypothesize that this finding may contribute to hormone-mediated neuroprotection mechanisms in female mice. Second, we find that a high dose of a commonly available antihistamine, the H1 receptor inverse agonist diphenhydramine, rapidly decreases serotonin levels. This high dose is considered overdose; however, this finding highlights the sheer significance of better consideration of the modulatory nuances of histamine on serotonin.We, thus, present the first in depth in vivo characterization of fast histamine dynamics and highlight two breakthrough regulatory aspects of this elusive modulator. The implications of our study are new avenues to better understand and treat histamine related disorders of the brain (such as neuroinflammation), emphasizing that sex and modulation (of serotonin) are critical factors to consider when studying/designing new histamine targeting therapeutics.
Circulating Y-RNAs, a predicted function controlling the Immune System, Cell Signaling, and DNA Replication in Pediatric Patients with Pilocytic and Diffuse Astrocytoma
Authors: Rodríguez-Corona Juan Manuel , Esparza-Garrido Ruth Ruiz , Horta-Vega Jorge , Velázquez-Flores Miguel Ángel 
Published: March 2022

Abstract
Background. Y-RNAs are small noncoding RNAs firstly identified in patients suffering the Sjögren’s syndrome and lupus erythematosus, having different predicted cellular functions. In this work, circulating Y-RNAs were detected in blood serum from pediatric patients with pilocytic or diffuse astrocytoma, by means of the HTA 2.0 arrays. In addition, a bioinformatic approximation of the possible biological functions of Y-RNAs was determined with the “Random Forest” and “Vector Support Machine” algorithms. Results. Data showed a differential expression of RNY-3, RNY-4, and -5 in tumors relative to the control. Meanwhile, RNY-1 was shown to be highly upregulated in the Diffuse condition versus the Pilocytic one. The bioinformatic analysis showed the interaction of all these Y-RNAs with different proteins, but RNY-4 and RNY-5 had the highest scores of interaction with the Claudin domain-containing protein 1, isoform α and Toll-like receptor 5, and the Hyaluronidase-1 isoform 3. Because Y-RNAs are processed in vivo to produce fragments through RNase processing, a second analysis was performed to determine the Y-RNAs loop domain interactions with these receptors. Results showed the highest score of interaction for RNY-3/B cell receptor CD22 isoform 1, followed by RNY-4/Toll-like receptor 7 and 3. Conclusions. Altogether, our results showed, for the first time a differential expression of circulating Y-RNAs in pediatric astrocytoma, allowing to distinguish pediatric patients without cancer from patients with pediatric diffuse or pilocytic astrocytoma and their potential involvement in regulating diverse biological processes, such as immune activation or suppression, cell signaling, selective transcription, and cell proliferation through DNA replication activation.
The implementation of an online mindfulness-based program for pediatric patients at a tertiary hospital in South America: a study protocol
Authors: Pasqualucci Paula Lage , Seifert Georg , Filho Vicente Odone , Santos Angelica Carreira dos 
Published: March 2022

Abstract
Background: The prevalence of chronic and complex pediatric health conditions has quickly risen over the last decades. Chronic and complex health conditions make pediatric patients and their families more susceptible to many distressing events during their lifespan. Mindfulness-based interventions have become a popular intervention for individuals living with chronic illnesses and have been adapted for pediatric populations with good results, including online versions. This study intends to report an implementation protocol of an online mindfulness-based program for adolescents to address an important gap in stress relief and health promotion for pediatric patients.Methods: In this article, we describe the rationale and design of an implementation study of an online mindfulness-based program for pediatric patients at a tertiary pediatric hospital in South America. Participants will be recruited during one year to participate in an eight-session online mindfulness-based program. To assess our primary aim of feasibility, we will exam recruitment, retention and participation rates. Participants will also complete a symptomatology evaluation (i.e., depression, anxiety, and stress symptoms) at baseline and immediately at posttreatment and fidelity will be evaluated by a structured questionnaire.Discussion: This study will be the first known to assess the implementation of an online mindfulness-based program for a pediatric population at a tertiary pediatric center in South America under real-life conditions. This study will establish the feasibility of a novel intervention aimed at promoting mental health and positive coping strategies among pediatric patients with chronic and complex health conditions. Evidence from this study would be useful to patients, families, clinicians, and policymakers and will help to devise strategies of health promotion for the pediatric population, as well as serve as a model for a future trial to examine efficacy of the proposed intervention.Trial registration: This research has been registered at Ensaiosclinicos.gov.br, identifier RBR-23trp87. Registered 25 February 2022 - Retrospectively registered, https://ensaiosclinicos.gov.br/rg/RBR-23trp87
Design and Modelling of ZnO-Memristive Temperature Sensor
Authors: Kailasam Rathnakannan , cs Ajai Kumar 
Published: March 2022

Abstract
This paper discuss about design and modeling of a ZnO based memristive temperature sensorthat can be used for ambient temperature measurement and for smart home ambience system(s) that is best shown with improvement in its temperature measurement variation rate. The model under discussion incorporates memristor-technology bringing in better scalability, higher utilization and overall lower power consumption. The results show that this memristive sensor gives better sensitivity and thus suitable for dynamic applications. The sensor comprises of ZnO film, being pyroelectric in nature act as the active region while sandwiched between electrodes build over a silicon substrate. In this study, the voltage and frequency play a major role in depicting the memristor characteristics while the dimensions decide the more efficient pyroelectric sensitivity of the model. This sensor does not require bias and can be used as an autonomous sensor in application like IoT.
Relationship of retinopathy of prematurity with trajectory of hemoglobin, anemia and blood transfusion in very premature/very low birth weight neonates: a repeated measurement analysis
Authors: Xu Doudou , Zhang Jingling , Cheng Zimei , Gao Hui , Wang Yang 
Published: March 2022

Abstract
Purpose : To investigate the effects of trajectory of hemoglobin and duration of anemia over the first 5 weeks of life on risk of retinopathy of prematurity (ROP).Methods: We enrolled 465 premature infants with <32 gestational weeks or <1500g. Logistic regression was performed to analyze associations between the risk of ROP and hemoglobin, anemia and the number of blood transfusions at each gestational week. Generalized estimating equation was used to analyze the association of ROP with repeated-measured hemoglobin, anemia and blood transfusions. Finally, the dose-response relationship between hemoglobin level during the first week and the risks of ROP were analyzed using restrictive cubic spline analysis.Results: ROP was associated with decreased hemoglobin concentrations [OR = 0.997, 95%CIs = 0.994～1.000), anemia (OR = 1.175, 95%CIs = 1.011～1.364) and increased numbers of blood transfusion (OR = 1.373, 95%CIs = 1.233～1.528). Compared to the high trajectory of hemoglobin, infants with low hemoglobin trajectory had high risk of ROP (OR = 1.553, 95%CIs = 1.040～2.320). The hemoglobin during the postnatal first week was associated with risk of ROP in a nonlinear manner. The risk of ROP was lowest when the concentration of hemoglobin was approximate 140g/L.Conclusions: Anemia and blood transfusion after birth were independent risk factors of ROP. Besides, the concentrations of hemoglobin during the first five weeks of life was associated with the risk of ROP, and should be controlled at 140g/L in premature neonates immediately.
Alleviation of 1-aminocyclopropane-1-carboxylic acid accumulation on Verticillium dahliae infection of upland cotton
Authors: Jia Ming-zhu , Li Zhi-fang , Han Shuan , Wang Song , Jiang Jing 
Published: March 2022

Abstract
Background
Verticillium wilt of cotton is a serious disease caused by the infection of soil borne fungus Verticillium dahliae Kleb, but the infection mechanisms remain to be explored. Here, we investigated how phytohormones ethylene affected the infection of V. dahliae strain Vd991 on cotton (Gossypium hirsutum L.) cultivar YZ1. The precursor of ethylene biosynthesis is 1-aminocyclopropane-1-carboxylic acid (ACC), whose production in vivo depends on activation of ACC synthase (ACS).
Results
Preliminary observations indicated that ACC applications reduced the disease incidence, disease index and stem vascular browning by impeding fungal biomass accumulation. Transcriptome and qRT-PCR data disclosed that Vd991 induced GhACS2 and GhACS6 expression. GhACS2- or GhACS6-overexpressing transgenic YZ1 lines were created, respectively. In a Verticillium disease nursery, these ACC-accumulated transgenic plants showed decreased disease indexes, stem fungal biomasses and vascular browning. More importantly, these ACC-accumulating plants decreased the green fluorescent protein-marked Vd991 colonization and diffusion in root tissues. Further, either ACC treatment or ACC-accumulating cotton plants activated salicylic acid (SA)-dependent resistance responses.
Conclusions
The GhACS2- and GhACS6-denpendent ACC accumulations enhanced the resistance of cotton to V. dahliae in a SA-dependent manner, and this lays a foundation for cotton resistance breeding.
Identification of Mesenchymal stem cells Functions in the development of osteosarcoma：A bioinformatics analysis
Authors: Cui Ying , Li Dongli , Ma Tianjun , Song Qingfeng , Liu Haizhou , Wu Hong , Sun Wen , He Mei 
Published: March 2022

Abstract
Background：Mesenchymal stem cells can promote osteosarcoma cell proliferation and migration, while the underlying mechanism remains unknown. The aim of the study was to identify the crucial genes between mesenchymal stem cells (MSC) and osteosarcoma cells (OS) to investigate the potential molecular mechanism of osteosarcoma.Methods：GSE42352 and GSE39262 were downloaded from Gene Expression Omnibus (GEO) database. The GEO2R calculation method was used to analyze these two gene profiles. Differentially expressed genes (DEGs) were identified between mesenchymal stem cells and osteosarcoma cells. Moreover, FunRich was utilized to conduct functional enrichment analysis. These DEGs were mapped to STRING database to construct a protein-protein interaction (PPI) network, and hub genes were identified by Cytoscape plug-in CytoHubba and CytoNCA. Furthermore, the expression of identified hub genes was validated by the GEPIA database. The correlations between microRNA (miRNA) and hub genes were analyzed by the online website StarBase. The correlation among microRNA (miRNA), transcription factors (TFs) and hub genes were analyzed by Cytoscape plug-in iRegulon and TRRUST database. Cytoscape was used to establish a regulatory network of TF‐miRNA‐target gene. Finally, the TCGA clinical data was used to verify the clinical pathological features of CCNA2.Results: A total of 225 markedly robust DEGs were identified (101 upregulated and 124 downregulated). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed that these DEGs were related to various cancer-related biological pathways and functions. A PPI network was constructed including 225 nodes and 1695 edges, and 9 hub genes were found in the PPI networks. Re-analysing a PPI network of all cell cycle genes showed CCNA2 is the most important node in biological networks. Analysis of human samples confirmed that miR-381 and CCNA2 exhibited an inverse pattern of expression in human osteosarcomas. Analysis of the original patients data from TCGA Website confirmed that CCNA2 expression increased in patients was associated with metastatic. Investigating the relationship between CCNA2 and tumour immunity showed CCNA2 was involved in the infiltration of CD4+ T cells in SARC and had a significant coexpression relationship with CD274 and TOX.Conclusions: CCNA2 is a promising prognostic biomarker and potential therapeutic target for OS patients. In particular, miR-381 may inhibit the proliferation of OS by specifically targeting CCNA2.
Investigation of SNPs in the Precision ID Identity Panel using next-generation sequencing in a Myanmar population
Authors: Joo Su Min , Kwon Ye-Lim , Moon Mi Hyeon , Shin Kyoung-Jin 
Published: March 2022

Abstract
Background—Single nucleotide polymorphisms (SNPs) have become popular in forensic genetics as an alternative to short tandem repeats (STRs) due to low mutation rates and small amplicon sizes. The Precision ID Identity Panel (Thermo Fisher Scientific), consisting of 90 autosomal SNPs and 34 Y-SNPs, was introduced for human identification by next-generation sequencing (NGS), enabling many studies on the global population; however, few reports are available on the Southeast Asian population.Methods and Results—A total of 96 unrelated male samples from Myanmar (Yangon) were analyzed with the Precision ID Identity Panel on a MiSeq (Illumina) using an in-house TruSeq compatible universal adapter. The sequencing performance was evaluated by locus balance and heterozygote balance, and the results were comparable to those of the Ion Torrent platform. For 90 autosomal SNPs, minor allele frequencies ranged between 0.068 and 0.500, and combined match probability (6.994×10−34) was lower than that of 22 PowerPlex Fusion autosomal STRs (3.130×10−26). Moreover, we identified 51 cryptic variations around the target SNPs using a custom variant caller, Visual SNP. For 34 Y-SNPs, 14 Y-haplogroups were observed—mostly O2 and O1b groups. Interpopulation analysis revealed that the Myanmar population is genetically closer to the East and Southeast Asian populations than the South Asian population.Conclusions—We demonstrate that the Precision ID Identity Panel can be successfully analyzed on a MiSeq using a custom data analysis pipeline and provide high discrimination power for human identification in the Myanmar population, while extending the accessibility of NGS analysis for SNPs in forensics.
Ochratoxin Determination in Food Samples by Fabric Phase Sorptive Extraction Coupled with High- Performance Liquid Chromatography Technique
Authors: Olia Aida Esmati Arze , Mohadesi Alireza , Feizy Javad 
Published: March 2022

Abstract
The sample preparation step is very useful in results precision and accuracy. Achievement to a quickly performed, inexpensive, sensitive, and accurate analytical approach for measuring extremely small amounts of a dangerous compound such as mycotoxin, in addition to environmental issues, is always required and important. In this paper, fabric phase sorptive extraction (FPSE), a novel sorbent-based microextraction method, was used for the first time to obtain a basic and quick ochratoxin A extraction from cereals and legumes. To achieve maximum efficiency, key experimental factors in FPSE process were optimized. At the extraction stage, volume and type of solvent, time of extraction and salt effect, and in the desorption step, volume and pH of back-extraction solvent and time of desorption were evaluated. Extracted ochratoxin A was analyzed by HPLC-FLD method. The chromatographic separation was performed using mobile phase H2O: ACN: acetic acid (49:49:2, v/v/v) at a flow rate of 1.0 mL/min on C18 column with fluorescence detection (λex = 333 nm and λem = 447 nm). Limit of detection was found to be 0.49 ng/mL, whereas absolute acceptable recoveries (76.34-112.96%) with low relative standard deviations within day and between-day precision were (≤ 9.2% and ≤ 11.0, respectively) achieved.
Current status and trends in researches based on public intensive care databases: A scientometric investigation
Authors: Li Min , Du Shuzhang 
Published: March 2022

Abstract
Objective
Public intensive care databases cover a wide range of data produced in intensive care units which would provide scientific basis for clinical diagnosis and treatment. Public intensive care databases draw attention of medical researchers since they were time-saving and money-saving in obtaining large amounts of data. This study aimed to explore status and trends of researches based on public intensive care databases via CiteSpace.
Method
Articles based on public intensive care databases, published from 2001 to 2021 in the Web of Science Core Collection (WoSCC), were retrieved on October 18, 2021. CiteSpace was used to generate network maps and reveal hot spots and frontiers of researches based on public intensive care databases.
Results
A total of 456 studies were collected. China, Zhejiang Uni and Zhongheng Zhang were the most prolific country, institution and author in this field, respectively. Meanwhile, USA and MIT have more closed cooperative relationship with others. Six hot topics and knowledge bases were concluded through keyword analysis and reference analysis. Researches based on public intensive care databases are in the stage of rapid development, with more problem types and disease types being investigated. Machine learning is still the main research method in this field.
Conclusions
This scientometric investigation could help researchers directly perceived the research status and trends in this field. With more researchers know about public database, they would be fully explored by clinicians and scientists and finally promote the development of critical care medicine.