bluuebunny/crossref_metadata_2025_split huggingface dataset:
The downregulation of linc-RECK-3 in T1 stage non small cell lung cancer
Authors: Ding Xiaohui , Zhao Hongguang , Wang Lifang 
Published: March 2023

Abstract
Background
Lung cancer, with the highest mobidity of malignancies, is the leading cause of cancer-related deaths. According to AJCC staging, T1 stage is the earliest stage. Gene research on T1 stage may reveal the molecular factor about tumorigenesis in the NSCLC. LncRNA is a kind of non-coding RNA, which is related to cell cycle, differentiation, metabolism and disease formation.
Methods
We conducted a retrospective study. 56 patients who underwent surgery at Zhejiang Cancer Hospital from August 2008 to October 2012 with T1 stage non-small cell lung cancer were enrolled. We conducted a survey using real-time quantitative PCR linc-RECK-3 in tumor tissues and normal lung tissues. And then we used SPSS 25.0 for statistical analysis of the data. Wilcoxon Paired Test and Mann-Whitney-U Test was used to analyze Statistical differences(P < 0.05).
Results
We enrolled 56 patients, including 41 males and 15 females, with a median age of 62.5 years. The tumor was no more than 3 cm in diameter and was defined as stage T1. The level of linc-RECK-3 in tumor tissues was significantly lower than that in normal tissues (P = 0.001). And we found there is no significant difference in clinicopathological data(P > 0.05).
Conclusion
Linc-RECK-3 may be associated with the occurrence of non-small cell lung cancer.
The role of SIRT3 in mediating the cognitive deficits and neuroinflammatory changes associated with a developmental animal model of schizophrenia
Authors: Hao Keke , Chen Fashuai , Wang Huiling , Xu Shilin , Xiong Ying , Xie Xinhui , Huang Huan , Shu Chang , Liu Zhongchun , Wang Gaohua , Reynolds Gavin P 
Published: March 2023

Abstract
The neuroinflammatory state may contribute to the pathogenesis of many mental disorders including schizophrenia. Nicotinamide adenine dinucleotide (NAD+) is an essential cofactor for activation of proteins involved in mitochondria quality control, such as Sirtuin3 (SIRT3). Our previous study had found that nicotinamide (NAM) (a precursor of NAD+) administration could rescue Early life stress (ELS)-induced neuroinflammation and down-regulation of SIRT3 in adult offspring. However, it is unclear how SIRT3 is involved in the neuroinflammatory state induced by ELS and whether it is key to the neuroprotective effects of NAM in this animal model of schizophrenia. The present study used 24h maternal separation (MS) as ELS to Wistar rat pups on the postnatal day (PND) 9. At the adult stage, Schizophrenia-like behaviors and memory impairments were detected by behavioral tests. Microglial activation, pro-inflammatory cytokine expression, and NAD+/SIRT3 expression were detected in the prefrontal cortex (PFC) and hippocampus (HIPP). Meanwhile, NAM, and the SIRT3 activator Honokiol (HNK), and the SIRT3 inhibitor 3-TYP were used as an intervention in vivo to explore whether NAD+/SIRT3 axis is involved in the neuroinflammatory state induced by ELS. Our results showed that MS on PND9 could induce schizophrenia-like behaviors and synchronously caused M1 microglial activation, pro-inflammatory cytokine over-expression, NAD+ decline, lower expression of SIRT3, and increased ace-SOD2 expression at the adult stage. NAD+ supplement could block this process and alleviate the pro-inflammatory state in the PFC and HIPP, and normalize the behavioral alterations of the MS animals. Furthermore, administration with HNK for 15 days from PND56 to PND70 could provide neuroprotective effects on the HIPP and PFC of MS rats, as confirmed by cognitive recovery, decreased pro-inflammatory cytokine over-expression, and blunted M1 microglia activation in the MS rats. Meanwhile, 3-TYP administration in the control group and the NAM-treated MS rats caused M1 microglial activation, pro-inflammatory cytokine over-expression, and cognitive deficits. Taken together, the results demonstrated that SIRT3 mediated the stabilizing effect of NAD+ on normalizing M1 microglial activation, neuroinflammation, and behavioral phenotypes in MS rats.
Effect of grain size on amorphization mechanism and kinetics of bridgmanite in shocked meteorites
Authors: Nishi Masayuki , Jin Si , Kawano Toshikatsu , Kuwahara Hideharu , Yamada Akihiro , Kawaguchi Shogo , Mori Yuki , Sakaiya Tatsuhiro , Kondo Tadashi 
Published: March 2023

Abstract
Bridgmanite formation and amorphization in shocked meteorites constrains the pressure and temperature conditions during planetary impact process. However, the effect of grain size of bridgmanite on its amorphization kinetics is still unclear. In this study, the amorphization mechanism and kinetics of fine-grained polycrystalline bridgmanite were studied at high temperatures up to 1080 K. High-temperature time-resolved synchrotron X-ray diffraction measurements showed that significant volume expansion due to temperature-induced amorphization caused static stress, which then hindered amorphization progress. Further, the temperature required for the amorphization of fine-grained bridgmanite (~1 mm) was found to be approximately 100 K higher than that required for the amorphization of coarse-grained samples (> 10 mm). We also noted that amorphization preferentially commenced at the twin and subgrain boundaries of bridgmanite grains, resulting in lower amorphization temperatures for the coarse-grained samples. The limited number of such specific locations in fine-grained natural bridgmanite suggested that grain boundary amorphization may be the dominant mechanism for bridgmanite amorphization in shocked meteorites. This unique amorphization kinetics would support the preservation of bridgmanite during the post-shock annealing in the shocked meteorite. Although bridgmanite amorphization starts easily at temperature above ~420 K, small amount of bridgmanite grains can survive at temperatures above 800 K by the effect of the amorphization-induced stress.
The 2022 Massive Open Online Course (MOOC) to train physiotherapists in the management of people with spinal cord injuries: a qualitative and quantitative analysis of learners’ experiences and its impact
Authors: Harvey Lisa , Glinsky Joanne , Ilha Jocemar , Xiong Yuan , Gomez Guillermo , Rostagnor Stephan , Martín-Manjarrés Soraya , Tranter Keira , Muldoon Stephen , Weerts Eric 
Published: March 2023

Abstract
Study design: Observational.
Objectives: To determine the learners’ experience and the impact of a Massive Open Online Courses (MOOC) conducted to teach physiotherapists about the management of people with spinal cord injuries (SCI).
Methods: A SCI MOOC for physiotherapists was run in 5 different languages at the end of 2022. Qualitative and quantitative data were collected from different sources including registration details, pre- and post-Knowledge Assessments, a post-MOOC Evaluation, social media posts and online tracking of websites and emails. The data were used to answer four key questions: (i) what was the reach of the MOOC, (ii) what did participants think about the MOOC (iii) did the MOOC change participants’ knowledge and/or confidence, and (iv) did the MOOC change participants’ clinical practice or the way they teach others?
Results: 25,000 people from 169 countries registered for the MOOC. 98% of participants who completed the Evaluation (n = 2,281) rated the MOOC as either “good” or “very good”. Participants’ knowledge improved by a median (IQR) of 25% (10 to 45%) (n = 4,016 participants) on the MOOC Knowledge Assessment. Participants reported changes in confidence, and intentions to change clinical practice and incorporate what they had learnt into the way they teach others in response to the MOOC.
Conclusion: The MOOC provided an efficient way to increase physiotherapists’ knowledge about the physiotherapy management of people with SCI. Participants enjoyed the MOOC, and indicated an intention to change clinical practice and the way they taught others.
Geochemistry and Petrogenesis (ICP-Ms and Radio-isotope “Rb/Sr/Sm/Nd” Studies) of the Young Volcanic Rocks in the Ahar area, NW Iran
Authors: hassanpour Shohreh , ahankoub Maryam 
Published: March 2023

Abstract
The Ahar area is located on an orogenic tectonic setting from magmatic and tectonic point of view. The young volcanic rocks, are composed of basalt, andesite, trachyte, and dacite in composition. The volcanic geochemically are calc-alkaline and show linear–like correlation in major oxide variation diagrams, which are revealed in main mineral phase fractionations. They also exhibited enrichment in Ba, U, La, Pb, and Sr and depleted in Cs, Nb, Ti, and Ce. The 143 Nd/ 144 Nd, 87 Sr/ 86 Sr, and Nd(i) values are changing from 0.704183-0.705077, from 0.512749-0.51286 , and 1.6-2.6, respectively. Fractional crystallization and contamination seem to have been important in the evolution of the volcanic rocks. Nd and Sr-isotope compositions fall in the field of oceanic island basalt (OIB) and extend along with the mantle array. Geochemical data suggested that the parental magma of the studied volcanic rocks were magma that originated from the enriched lithospheric mantle and asthenosphere. According to the regional geology and petrological data, these volcanic rocks have a post-collisional feature, and formed in an extensional tectonic settings. The geochemistry model of trace elements and isotope ratios in the samples reveals that all of them are derived from a mantle resource. They enriched and metasomatized extensively by continental crust via the subduction process with a crustal metamorphic materials in a continental collisional tectonic setting. These rocks are derived by a varying degrees of partial melts with a lithospheric mantle resource.
A Multi-queue Round Robin Algorithm for Task Scheduling in Enterprise Application Integration Platforms in the Cloud
Authors: Freire Daniela L. , Frantz Rafael Z. , Basto-Fernandes Vitor , Sawicki Sandro , Roos-Frantz Fabricia , Battisti Gerson 
Published: March 2023

Abstract
Contemporaneous environments involve a large number of information which is received from many interconnected devices and integrated by many platforms. The Internet of Things and Cloud computing offer services to deal with such big data, so that enterprises can play in their business core by outsourcing the development, the configuration, and the maintenance of those services and their computational resources. Many enterprises use integration Platform as a Service to maintain their applications and data working in a synchronous way. However, current task scheduling algorithms of integration platforms are facing some hardships to tackle with high volumes of data. In this article, we propose a scheduling algorithm based in the round-robin heuristic through multiple task queue, which presents better performance than the traditional First-in-first-out heuristic used by current platforms. We experimented our algorithm in the execution of an integration process, and we validated the results with statistical techniques.
Two-dimensional Otsu’s Zigzag Thresholding Segmentation Method
Authors: liang yitao , chen yahui 
Published: March 2023

Abstract
In the two-dimensional histogram thresholding method, the segmentation accuracy could be degraded due to insufficient misclassification. An improved image segmentation method combining a priori knowledge of two-dimensional histogram and fully considering the influence of edges, the two-dimensional Otsu’s zigzag thresholding segmentation method is proposed. We combine a priori information about the edge regions and noisy regions in a two-dimensional histogram, use a zigzag threshold as a segmentation criterion to correct the overall error classification and use small probability events to determine the line equations to achieve segmentation adaptively. Based on extensive experimentation, our method has been observed to significantly outperform comparable techniques.
A Visual Analysis of Hotspots and Frontiers in Blockchain Based on Scientific Knowledge Map
Authors: Gao Yarui , Lin Runhui 
Published: March 2023

Abstract
Blockchain is regarded as the most outstanding technological innovation in the 21st century. This will be an essential technical means to subvert the internet and improve traditional production relations. It has been valued by governments worldwide and incorporated into national development strategies. But there are also some problems to be solved in the application research of blockchain. In this study we used the knowledge map to sort out the research context of Chinese and international blockchain in a quantitative way, in order to bring research ideas and directions to scholars. We employed the visualization tool CiteSpace to analyze the related literature of blockchain in China and international, 3989 and 4825 literature from 2010 to 2021, respectively, downloaded from CNKI and Web of Science , then draw the knowledge maps of primary authors, critical literature, key journals, prominent research institutions, which showed the time, spatial distribution, research hotspots, research frontiers and evolution paths of the blockchain field. We found that ( 1 ) blockchain has become an information point tracked by researchers since 2015, and is currently in a period of vigorous development.（2）At present, China is far ahead of the number of papers published in the field of blockchain and depicts a rapid growth trend. ( 3 ) The subject knowledge structure in the field of blockchain research consists of three parts: cryptocurrency market efficiency and supervision, blockchain technology system innovation, and blockchain application scenario expansion. ( 4 ) The research hotspots mainly include ' Internet of Things ', ' smart contract ', ' bitcoin ', and ' security 'are the hot issues both in China and international research. Additionally, the research on the blockchain of China mainly focuses on ‘digital currency’, ‘inclusive finance’, ‘technology empowerment’, and ‘regulatory sandbox’, which prefers the sustainability of financial applications. International research on Blockchain focuses on ‘identity authentication’, ‘validity’, ‘energy trading’, and ‘frame structure,’ which are more inclined to the integration research of blockchain with computer and electrical engineering, focus on the application of emerging technologies on the sustainability of industry.
Selection of superior provenances/families of Docynia delavayi based on phenotypic variation analysis on seedling growth traits
Authors: Xu Liu , Li Jingting , Zhu Zeli , Wang Dawei 
Published: March 2023

Abstract
Docynia delavayi (Franch.) Schneid. is a wild fruit tree, which can be widely used for medicinal and edible with a high value of exploitation and utilization. To gain greater insight into the genetic variation of growth traits in D. delavayi, we investigated the growth traits of a total of 62 half-sib families from 10 provenances. Based on the data of growth traits, variation analysis, correlation analysis, principal component analysis, estimation of genetic parameters and comprehensive analysis were carried on. The results of variance analysis showed that all traits, except for branch length, were significant or extremely significant differences among provenances, while among families, only leaf width showed no significantly different. The results of correlation analysis showed that all growth traits, except for branch length and petiole length, had a significant or extremely significant correlation with the geo-climatic factors. Three principal components were extracted by principal component analysis, they were used as indicators for the comprehensive evaluation of D. delavayi from different provenances, and five excellent provenances were selected (LC, LH, SD, YJ, XY). The results of genetic parameters estimation showed that all indicators except leaf length and leaf width had a high potential for genetic improvement. Therefore, five traits (SH, GD, BL, PL, TNL)were used as comprehensive index to select superior families, and a total of 20 superior families were selected. This study will lay a theoretical foundation and practical guidance for the genetic improvement of D. delavayi.
Trend of correlations between Psychological Symptoms and Socioeconomic Inequalities: HBSC Cross-sectional study among Tuscan Adolescents from 2006 to 2018
Authors: LIPARI DARIO , BOCCI BIANCA MARIA , RIVIERI CESARE , FRONGILLO ELENA , MISERENDINO ANTONELLA , PAMMOLLI ANDREA , TROMBETTA CLAUDIA MARIA , MANINI ILARIA , SIMI RITA , LAZZERI GIACOMO 
Published: March 2023

Abstract
Background: Adolescence is a critical moment in life; people become individuals, create new relationships, develop social skills, and learn behaviours that they will use for the rest of their lives. During this phase, adolescents establish patterns of behaviour that can protect their health. This study aims to: 1. assess the presence of psychological disorders in adolescents of both genders; 2. determine the relation of socio-economic differences based on the Family Affluence Scale (FAS); and 3. assess trends from 2006 to 2018.
Methods: Data was collected from the Italian Health Behaviour in School-aged Childrensurvey given to a representative sample of Tuscan adolescents aged 11-15 years. Participants (n.12,550) filled out questionnaires to assess whether psychological symptoms like feeling low, irritability, nervousness, or sleeping difficulties manifested weekly or more often over the past six months. For the study we utilized a cross-sectional survey method and linear regression to examine the association between psychological symptoms (dependent variable measured on an interval scale (0-16)), gender and FAS. We conducted similar analyses using logistic regressions for each of the 4 symptoms.
Results: An increase in psychological symptoms in both genders was revealed between 2006 to 2018, with a statistically significant presence in females: 0.29 (95% Confidence Interval [CI], 0.17 to 0.41), 1.43 (95% CI, 1.37 to 1.48) and 1.43 (95% CI, 1.34 to 1.52) in low-, medium- and high-family affluence respectively; whereas males presented 0.14 (95% CI, 0.01 to 0.27), 0.71 (95% CI, 0.65 to 0.77) and 0.31 (95% CI, 0.22 to 0.39), respectively. The probability of a predictive episode of psychological symptoms (feeling low, irritability, nervousness, sleeping difficulties) occurring weekly or more has greatly increased in females of all socioeconomic classes.
Conclusions: These findings suggest that the increase in psychological disorders in adolescents should be considered a public health problem and further investigated through longitudinal studies and continuous monitoring of health trends.
Characterization of bioplastics developed from Kappaphycus alvarezii crosslinked with commercial sodium alginate
Authors: Hanry Eunice Lua , Surugau Noumie 
Published: March 2023

Abstract
Plastic pollution has become one of the most concerning problems globally due to excessive use of one-time use plastics. However, bioplastics could be the answer to help combat this problem as they are readily biodegradable. Development of bioplastics was done by mixing seaweed biomass into distilled water at specific ratio, using glycerol as plasticizer. Bioplastics were developed at the ratio of 100:0, 75:25, 50:50, 25:75, and 0:100 K. alvarezii to commercial sodium alginate ratio. Characterization was done based on their appearance, mechanical, thermal and permeability properties, and biodegradability. Resulted data for their appearance showed that when more K. alvarezii was in the mixture there were more colour differences in comparison to white background and the same trend for the opacity due to the natural colour of whole K. alvarezii. As for their mechanical properties, tensile strength of the bioplastics decreased from 100:0 ratio to 0:100 ratio at 7.91 ± 0.45 MPa (100:0), 6.78 ± 0.31 MPa (75:25), 5.20 ± 0.37 MPa (50:50), 4.13 ± 0.17 MPa (25:75) and 3.76 ± 0.14 MPa (0:100), respectively. Same goes for their elastic modulus at 20.93 ± 0.61 MPa (100:0), 16.47 ± 0.99 MPa (75:25), 11.42 ± 0.53 MPa (50:50), 8.78 ± 0.45 MPa (25:75) and 6.65 ± 0.32 MPa (0:100), respectively. This shows that the addition of alginate enhances the elasticity but decreases tensile strength. As a conclusion, developed seaweed-based bioplastics resulted different properties at different mixture ratio show potential to be incorporated into the market as they are a greener option to fight single-use plastic wrappings such as saran wrap, beverages and food additive packets.
Spatiotemporal variations of hydrochemical characteristics of irrigation water: a case study of the Lower Rio Grande Valley, USA
Authors: De La Garza Miranda Nicole , Ren Jianhong , Ancona Veronica 
Published: March 2023

Abstract

Hydrochemical characteristics of irrigation water and their spatiotemporal variations can provide critical information for ensuring healthy crop growth and determining the best water management practices. The Lower Rio Grande Valley (LRGV) is heavily dependent upon ditch irrigation to deliver water from the Rio Grande River to support its staple crop production. To date, no studies have been conducted to quantify the water quality and its variations along the distribution system. This research measured water quality parameters at seven sites in LRGV irrigation water in 2021. Chemical indices including salinity hazard (SH), sodium adsorption ratio (SAR), sodium percentage (Na%), residual sodium carbonate (RSC), magnesium hazard (MH), Kelly's Ratio (KR), and permeability index (PI) were calculated. Classification diagrams were prepared. Results revealed the locations that had doubtful water for irrigation use and more problematic water quality index levels. June and August had the highest index levels, which may have been attributable to the large rainfall events in May and July. The SH, Na%, KR, and MH indices exceeded recommended levels. ANOVA analyses showed significant temporal variations in SAR, RSC, MH, KR, and PI. These findings indicate the importance of incorporating water quality spatiotemporal variation information in routine irrigation planning and management.
COVID-19 and Pregnancy Complications: Meta-analysis and Systematic
Review
Authors: Gokce Sefik , Herkiloglu Dilsad 
Published: March 2023

Introduction::
Although the number of studies conducted among pregnant women with coronavirus (COVID-19) is increasing rapidly, most of the studies are small-scale. Accordingly, data on the relationship between COVID-19 and pregnancy are limited. In addition, there is limited information about which complications COVID-19 causes in pregnant women compared to the normal population, and at what rates. This meta-analysis aimed to examine the data of studies and meta-analyses on pregnancies with COVID-19, and to determine the complication rates caused by COVID-19 in pregnancies.

Methods:
Clinical, observational, or cohort studies published (or epub ahead of print) between January 2020 and December 2021 in any language were scanned in PubMed and Google Scholar. While scanning, the combinations of the terms “COVID-19”, “SARS-CoV-2”, “coronavirus”, “pregnancy”, “PROM”, or “preterm birth” were used.

Results:
A total of 52 articles and data on 11088 pregnant women were included in the meta-analysis after the screening of 6166 studies. In addition, data belonging to 10 meta-analyses were examined in order to obtain additional information. In the studies covered by this meta-analysis, the rate of premature rupture of membranes was found in 16.8%; preterm birth in 10.3%; low birth weight newborns in 9.2%; maternal or fetal mortality in 3.0%, and other adverse outcomes (fetal distress or abnormal APGAR score, abortion, etc.) in 17.5%. The vertical contamination rate was found to be 2.1%.

Conclusion:
The findings obtained in this meta-analysis show that COVID-19 significantly increases the maternal or fetal mortality rate in pregnant women and has a negative effect on the preterm birth rate. According to the data we have obtained, COVID-19 also causes the development of some complications, such as fetal distress. The findings also show that COVID-19 is transmitted vertically at a rate of around 2% during pregnancy.