bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climate Policy Development and Implementation from United Nations Sustainable Development Goals Perspective
Authors: Kluza Krzysztof , Ziolo Magdalena , Postula Marta 
Published: May 2022

Abstract
Climate change is a challenge nowadays. Governments all over the world are debating how to mitigate environmental risk and how to address climate policies to achieve sustainable development goals (SDGs). This study aims to understand the interactions between climate policy development and different SDGs. The study analyses data from 2008 and 2018 for European Union Member States. Greenhouse gas emissions (GHG) were used as a dependent variable. The study tests the non-linear effects, which allow Environmental Kuznets curve phenomena to be identified and extends this line of research by checking the non-linearity and time-lagging of all explanatory variables. The research results show that it is possible to achieve climate policy goals not only directly, but also indirectly by facilitating the implementation of other SDG goals like inter alia SDG9 (innovation and infrastructure), SDG5 (gender equality), SDG11 (sustainable cities and communities) and SDG17 (environmental taxation). The impact of particular policies is also dependent on geographic-specific effects, analysed in this research with the use of factorial analysis.
Capability Verification and Error Source Investigation of External Force Sensing Methods of Continuum Robot
Authors: zhang anfan , Yan BoWen , Wang Xueqian , Liang Bin , Li ZhiHeng 
Published: May 2022

Abstract
This paper studies mainly error sources of current external force sensing algorithms and presents external force sensing algorithms of continuum robots using superelastic NiTi backbones. Axial compression is deliberately taken into consideration in analytical dynamics for facilitating the later analysis of error sources. The analytical dynamics of multibackbone continuum robots is established by Lagrange equation in a simple and concise manner. Experiments show that the force-strain relationship is significantly different with or without external force, and we provide some insights into the feasibility and limitations of dynamic model. Then an extend intrinsic force sensing algorithm (EIFS) and an external force observer based on generalized momentum method (EFOGM) is developed, Both of them only depend on joint-level information. The effectiveness of both force sensing algorithms is validated through simulations and experiments. Mean absolute error of EIFS is 0.1903 N using constant axial strain and 0.0866 N using real-time axial strain, respectively. While mean absolute errors of EFOGM is 0.1908 N using constant axial strain and 0.0293 N using real-time axial strain, respectively. The estimation effect of EFOGM is slightly preferable to that of EIFS. Experiments shows that the main sources of force sensing algorithm error are: 1) the estimated external force compensates the force part caused by axial compression, 2) model error from nonlinear stress-strain relationship of cable tension-induced deformation and external force-induced deformation under the loading and unloading force stage.
Blood return at the end of renal replacement therapy provided clues on fluid responsiveness in critically ill patients with shock
Authors: Huang Daozheng , Ma Jie , Wang Shouhong , Qin Tiehe , Song Feier , Hou Tieying , Ma Huan 
Published: May 2022

Abstract
Objectives To observe if blood return, also defined as the blood infusion test (BIT) could predict fluid responsiveness in critically ill patients with shock and continuous renal replacement therapy.MethodsBefore BIT, the passive leg raise test (PLRT) was performed to record the changes of cardiac output (ΔCO) by thermodilution and ΔCO >=10% was defined as fluid responders. Meanwhile, the changes in velocity time integral (ΔVTI) were recorded by echocardiography and ΔVTI>=15% was defined as fluid responders. Then the changes in COs and VTIs were recorded during BIT about several minutes after PLRT. The receiver-operating characteristic curves of ΔCO and ΔVTI were compared between PLRT and BIT.ResultsForty-three patients were enrolled in our study. 25 patients (58.1%) were recognized as responders during PLRT while 22 of these patients (51.2%) had increased COs during BIT. And according to the receiver-operating characteristic curves, the optimal cutoff value of ΔCO was 8.5% and ΔVTI was 19% during BITs with the area under curve were 0.947 (95% CI 0.87-1.0) and 0.952 (95% CI 0.893-1), respectively. ConclusionsBIT in continuous renal replacement therapy could identify fluid responsiveness in critically ill patients with shock.(Trial registration: ChiCTR-DDD-17010534). Registered on 30/01/2017 (retrospective registration).
AQP4-dependent glioma cell features affect the phenotype of surrounding cells via extracellular vesicles
Authors: Simone Laura , Pisani Francesco , Binda Elena , Frigeri Antonio , Vescovi Angelo Luigi , Svelto Maria , Nicchia Grazia Paola 
Published: May 2022

Abstract
BackgroundExtracellular vesicles (EVs) are membrane-enclosed particles released systemically by all cells, including tumours. Tumour EVs have been shown to manipulate their local environments as well as distal targets to sustain the tumour in a variety of tumours, including glioblastoma (GBM).We have previously demonstrated the dual role of the glial water channel aquaporin-4 (AQP4) protein in glioma progression or suppression depending on its aggregation state. However, its possible role in communication mechanisms in the microenvironment of malignant gliomas remains to be unveiled.ResultsHere we show that, in GBM cells, AQP4 are released via EVs that are able to affect the GBM microenvironment. To explore this role, EVs derived from invasive GBM cells expressing AQP4-tetramers or apoptotic GBM cells expressing AQP4-OAPs were isolated, using a differential ultracentrifugation method, and were added to pre-seeded GBM cells. Confocal microscopy analysis was used to visualize the interaction and uptake of AQP4-containing EVs by recipient cells. Chemoinvasion and Caspase3/7 activation assay, performed on recipient cells after EVs uptake, revealed that EVs produced by AQP4-tetramers expressing cells were able to drive surrounding tumour cells toward the migratory phenotype, whereas EVs produced by AQP4-OAPs expressing cells drive them toward the apoptosis pathway. ConclusionThis study demonstrates that the different GBM cell phenotypes can be transferred by AQP4-containing EVs able to influence tumour cell fate toward invasiveness or apoptosis.This study opens a new perspective on the role of AQP4 in the brain tumour microenvironment associated with the EV-dependent communication mechanism.
Facile one-step synthesis of PhC2Cu nanowires with enhanced photocatalytic performance
Authors: Zhao Gao-yu , Li Hai-yan , Yang Yu , Zhao Qing-hua , Su Ting-ting , Ma Jiang-li 
Published: May 2022

Abstract
In recent years, the research of Phenylethynylcopper (PhC2Cu) in the field of photocatalysis has attracted much attention. However, its preparation requires two steps, which take lengthy 9 days. In this paper, A highly rapid and facile one-step method that directly used copper acetate and phenylacetylene as raw materials and ascorbic acid as reducing agent to synthesize PhC2Cu nanowires was successfully developed. The kinetic studies indicated that the synthetic reaction follows a pseudo-second-order equation through electrical conductivity. Comparative studies on the crystal structures, morphologies, optical properties of PhC2Cu prepared by the traditional two-step and this one-step method were conducted by using XRD, SEM, UV–vis Drs, FT-IR, Raman Spectra and Photocurrent. Meanwhile, the PhC2Cu nanowires exhibited excellent photocatalytic activity for the degradation of MV (methyl violet) and glyphosate. Importantly, this facile and rapid method greatly improves the preparation efficiency of PhC2Cu, and the obtained PhC2Cu also shows higher photocatalytic activity. This remarkable progress enables the possibility of large-scale and efficient preparation of PhC2Cu with high photocatalytic activity, indicating their good application prospect in the fields of photocatalysis.
The effective of Otago Exercise Program on the physical frailty，cognitive function and ADL of elderly with cognitive frailty living in Nursing Homes: a randomized control trial
Authors: Chen Xi , MA Caili , LIU Youshuo , ZHOU Zhiming , ZHANG Hua , WEI Dongli , FU Min , CHEN Jianliang , LI Yan , OU Jinnan , HUANG Jin , YANG Xiaomei , ZHAO Liping , ZHANG Haiwan 
Published: May 2022

Abstract
Introduction:Cognitive frailty can affect elderly in multiple domian which including poor quality of life, dementia, disability even death. Timely intervention may become the main target for primary prevention. This study was to assess the effectiveness of group OEP program for elderly with cognitive frailty.Method:This study was conducted from July 2020 to October 2020. Participants were elderly aged 75-95 years old who lived in nursing homes. Individuals in the study were randomly assigned to Otago Exercise Program(OEP) group (n = 31) and control group (n = 31). Besides sleep and diet-related health education, The intervetion in the OEP gourp consisted of 30-min session, twice a week and 12-week group exercise programme. The physical frailty, cognitive function and activities of daily living(ADL) were used to assess. Results:After intervention, the mean score (SD) of frailty scores in the OEP group VS control group at T1 was (2.03 (0.81)) vs (1.41 (0.98)); At T2 was (2.00 (0.96)) vs (1.17 (1.00)).The mean score (SD) of MOCA scores in the OEP group VS control group at T1 was ( 22.17 (2.99)) vs (20.30 (2.96)); At T2 was (23.45 (3.66) ) vs (19.90 (3.25)). But group effect (p < 0.05) and the interaction effect (p < 0.05) was significant which indicated that the group effects on the frailty score and MOCA score change from baseline differed significantly over time. However, there was no significant group and interaction effect (P>0.05) of ADL scores between the intervention groups. Conclusion:12-week OEP had better outcomes with respect to physical frailty and cognitive function for cognitive frailty elderly,but no effective on ADL.Further studies may also be able to find the OEP scheme on improving ADL.Trial registration: The study was registered in the Chinese Ethics Clinical Trials Registry ( Registration Number - ChiCTR2000039592- Date of Registration 02/11/2020. Accessed on http://www.chictr.org.cn/index.aspx)
Oxygen as a Molecular Additive to Enhance Utilization Efficiency of H2O2 for Photocatalytic Conversion of Methane to Liquid-Phase Oxygenates
Authors: Sun Xiao , Chen Xuanye , Fu Cong , Yu Qingbo , Zheng Xu-Sheng , Fang Fei , Liu Yuanxu , Zhu Junfa , Zhang Wenhua , Huang Weixin 
Published: May 2022

Abstract
H2O2 is widely used as an oxidant for photocatalytic methane conversion to value-added chemicals over oxide-based photocatalysts under mild conditions, but suffers from low utilization efficiencies. Herein, we report that O2 is an efficient molecular additive to enhance the utilization efficiency of H2O2 by suppressing H2O2 adsorption on oxides and consequent photogenerated holes-mediated H2O2 dissociation into O2. In photocatalytic methane conversion over an anatase TiO2 nanocrystals predominantly enclosed by the {001} facets (denoted as TiO2{001})-C3N4 composite photocatalyst at room temperature and ambient pressure, O2 additive significantly enhances the utilization efficiency of H2O2 up to 93.3%, giving formic acid and liquid-phase oxygenates selectivity respectively of 69.8% and 97% and formic acid yield of 486 μmolHCOOH·gcatalyst-1·h-1. Efficient charge separation within TiO2{001}-C3N4 heterojunctions, photogenerated holes-mediated activation of CH4 into ×CH3 radicals on TiO2{001} and photogenerated electrons-mediated activation of H2O2 into ×OOH radicals on C3N4, and preferential dissociative adsorption of methanol on TiO2{001} are responsible for the selective photocatalytic conversion of methane to formic acid over TiO2{001}-C3N4 composite photocatalyst.
Comparative analysis of machine learning techniques for estimating groundwater deuterium and oxygen-18 isotopes
Authors: Cemek Bilal , Arslan Hakan , KÜÇÜKTOPCU ERDEM , Simsek Halis 
Published: May 2022

Abstract
Isotope techniques are most frequently used when hydrochemical analysis are insufficient to determine the origin and quality of groundwater and reveal seawater intrusion into groundwater along coastlines. In this study, the potential of the multilayer perceptron, adaptive neuro-fuzzy inference system, generalized regression neural networks, radial basis neural networks, classification and regression tree, Gaussian process regression, multiple linear regression analysis, and support vector machines were compared using known hydrochemical properties of waters for estimating deuterium (δD) and oxygen-18 (δ18O) isotopes in groundwater of the Bafra plain, Northern Turkey. The data were divided into training (70%) and testing (30%) sets. Cluster analysis was performed to decrease the number of input variables. The data on electrical conductivity, chloride, magnesium, and sulfate were introduced into the models after examining different combinations of these variables in the studied models. The determination coefficient (R2), mean absolute error (MAE), and root mean square error (RMSE) were used to evaluate the performances of the models. In addition, visualization techniques (Taylor diagram and heat maps) were prepared to assess the similarities between the measured and estimated δD and δ18O values. The R2, RMSE, and MAE for δ18O (0.98, 0.31‰, and 0.20‰, respectively), and δD (0.95, 2.85‰, and 1.89‰, respectively) values for the testing datasets revealed that the performance accuracy of multilayer perceptron is the best among the applied models tested. Therefore, the study suggests using data-driven methods, multilayer perceptron in this case, when lacking appropriate laboratory isotope analysis or facing high laboratory analysis costs.
Genome-wide identification and characterization of Long Non-Coding RNA in barley roots in response to Piriformospora indica colonization
Authors: Li Liang , Guo Nannan , Liu Tiance , Yang Shuo , Hu Xinting , Shi Shuo , Li Si 
Published: May 2022

Abstract
Barley, as an important crop, is poorly understood in terms of non-transcriptome regulation of its growth and development It remains unclear whether barley lncRNAs are responsive to Piriformospora indica colonization. Considering the increasing demand for grain, it is necessary to study the molecular mechanism lying behind growth and development in barley. We found barley roots exhibited fast development and large roots branched after P. indica colonization. Genome-wide high throughput RNA-seq and bioinformatical analysis showed that 4356 and 5154 differentially expressed LncRNAs (DELs) were found in responsive to P. indica at 3 and 7 day after colonization (dai), respectively. And 2456 DELs were found at 7 dai compared to 3 dai. Among these, 2024 were up-regulated and 2332 were down-regulated after 3 days’ colonization, and 2486 were up-regulated and 2668 were down-regulated after 7 days’ colonization, 1433 were up-regulated and 1023 were down-regulated in 7 dai to 3 dai comparison group. Based on the co-expression correlation of lncRNA-mRNA, we found that 98.6% lncRNAs (10726 out of 10878) were positively correlated to 3430 mRNAs at 3 dai and 7 dai. GO and KEGG analysis indicated that a few lncRNAs might be involved in diverse biological processes upon P. indica colonization. Further GO analysis showed that 30 lncRNAs might play roles as transcription factor (TF); 23 lncRNAs might participate in cell cycle regulation. Moreover, the metabolites analysis indicated that Chlorophyll a, sucrose, protein, gibberellin and auxin were accordance with the results of the transcriptome and the respective lncRNAs were positively correlated to these target RNAs. Gene silencing experiment suggested that lncRNA TCONS_00262342 is probably a key regulator of the GA3 synthesis pathway which participate in P. indica and barley interaction. We concluded that, acting as molecular material basis and recource, lncRNAs response to P. indica colonization by regulating metabolites distribution in barley and coordinate the complex regulatory process of higher life by constructing highly positively correlations with its target mRNA. As our understanding of lncRNAs improves, interactions of lncRNAs with respective coding sequences and with various classes may define new functional networks that may be modulated for molecular breeding.
Measuring the recycling potential of typical high-end equipment and its implications on anthropogenic circularity
Authors: Xiong Xin , Zhang Zhengyang , Pell Robert , Hu Zhaoji , Matsubae Kazuyo , Zeng Xianlai 
Published: May 2022

Abstract
Driven by industrial development and technology substitution and, high-end equipment has inevitably become a powerful engine driving the upgrade of the manufacturing industry. However, its metabolism mechanism and quantity in stock and end-of-life stream remain unclear. Here we estimated the recycling potential of typical high-end equipment in China through an ownership coefficient method. The end-of-life quantity of railway and aviation transportation equipment between 2000 and 2050 was predicted. The results show that the recycling potential remained at a low amount since 2000, but underwent rapid growth in recent years and exceeded 28 Mt in 2020. Furthermore, the recycling potential in 2050 was estimated to hit 74 Mt, roughly three times that in 2020. The waste high-end equipment in 2050 will include at least 72 Mt of steel, 831 kt of aluminum, 179 t of neodymium, and 2.3 kt of titanium. Compared with e-waste and end-of-life vehicles, recycling also plays an important role in the long-term use of resources. Due to the lack of scientific identification and clear rule for recycling, this study aims to make a preliminary effort on recycling waste the high-end equipment by providing scientific processing data and decision references.
The Influence of Geographic Environmental Factors on the Distribution of Cholinesterase Reference Value in Healthy Chinese People
Authors: Yang Wenjie , Ge Miao , Li Tao , Wang Congxia 
Published: May 2022

Abstract
This paper screened the factors that may influence the distribution of Cholinesterase (CHE) reference value in healthy people in China, and explored the space distribution trend of CHE reference value in China. We collected the CHE of 17,633 healthy people in 172 cities and counties. Spearman regression analysis was used to analyze the correlation between CHE and 22 geography secondary indexes. We extracted 6 indexes with significant correlation, built a ridge regression model, and predicted the CHE reference value of countrys urban healthy people. By using the disjunctive Kriging method, we obtained the geographical distribution trend of CHE reference value of healthy people. The CHE reference value of healthy Chinese was significantly correlated with the 6 secondary indexes, namely, Latitude (°), Altitude(m), Annual average temperature (℃), Annual average relative humidity (%) and annual precipitation (mm),Topsoil sand gravel percentage(% wt).The geographical distribution of CHE reference value of healthy Chinese showed a trend of being high in the southeast and low in the northwest of China.This study lays a foundation for further research on the mechanism of different influencing factors on the reference value of CHE index. A ridge regression model composed of significant influencing factors has been established to provide the basis for formulating reference criteria for the treatment factors of the liver damage diseases and liver cancer using CHE reference value in different regions.
Study on the causes of death of hospitalized neonates from 2012 to 2021 at a tertiary hospital in east China
Authors: Wang Huawei , Wu Zhixin , Geng Haifeng , Zhu Xiaoli , Zhu Xueping 
Published: May 2022

Abstract
Background: This study aimed to analyze the clinical data of neonatal deaths in a tertiary children’s hospital in east China by investigating the causes and differences among neonatal deaths over the past ten years. By estimating the levels and trends of neonatal deaths, the treatment level could be improved, and preventive measures could be taken to decrease the mortality rates of hospitalized neonates.Methods: The clinical data of deceased neonates admitted to the Department of Neonatology, Children’s Hospital of Soochow University, were collected between January 2012 and December 2021. We estimated and analyzed the number of neonates dying during the first 28 days of life as a function of their gestational age, birth weight, and age at death.Results: From 42,004 hospitalized neonates, we identified 469 cases of death (1.12%). The mortality rate of hospitalized neonates decreased from 2.15% in 2012 to 0.66% in 2021. Similarly, the mortality rate of term neonates decreased from 1.26% to 0.53%, and that of preterm neonates was reduced from 6.03% to 2.67%. The proportion of neonates with gestational age <32 weeks gradually increased from 2012 to 2021, but for neonates with gestational ages ≥37 weeks, they were lower between 2017 and 2021 than between 2012 and 2016 (P<0.05). The proportion of dead neonates with birth weights less than 1,499g gradually increased from 2012 to 2021 but was greater between 2017 and 2021 than between 2012 and 2016. While neonatal deaths within 1 day progressively increased, the opposite was true for deaths between 8 and 28 days. The incidence of pregnancy complications, gestational diabetes, and the using of corticosteroids before birth were higher between 2017 and 2021 than from 2012 to 2016 (P < 0.05). The proportion of preterm with neonatal respiratory distress syndrome (NRDS) increased, although neonatal asphyxia was rarer in the second than the first half of the investigated decade (P<0.05).In the first half, the leading causes of neonatal death in declining frequency were infectious diseases, neonatal asphyxia, preterm/NRDS, severe congenital malformations, and neonatal necrotizing enterocolitis. In contrast, from 2017 to 2021, the leading causes of neonatal death have been preterm/NRDS, infectious diseases, neonatal asphyxia, neonatal necrotizing enterocolitis, and severe congenital malformations.Conclusions: With the advancement of neonatal medicine, the hospitalized neonatal mortality rate has significantly decreased in the last 10 years. Infectious diseases and neonatal asphyxia follow preterm/NRDS as the most frequent causes of neonatal deaths in recent years. Therefore, we should strengthen the prevention and control of infection, encourage cooperation with obstetrics departments to avoid premature deliveries, and improve resuscitation.
Knock-in mouse models for studying somatostatin and cholecystokinin expressing cells
Authors: Mirnics Karoly , Anderson Allison , Balog Marta , Gurumurthy Channabasavaiah , Quadros Rolen , Korade Zeljka 
Published: May 2022

Abstract
Somatostatin (SST) and Cholecystokinin (CCK) are peptide hormones that regulate the endocrine system, cell proliferation and neurotransmission. Knock-in mouse models to study cell types that produce these critically important molecules are limited to date. To address this, we utilized the novel Easi-CRISPR system to generate two knock-in mouse strains with Cre recombinase in SST- and CCK-expressing cells and validated their utility in the developing and adult brain tissues. Developmental and adult SST and CCK expressions were preserved and showed an appropriate expression pattern in both models. These two mouse models serve as valuable tools for research studies related to SST and CCK biology. Specifically, they can be used as reporters to study development, physiology, or pathophysiology of SST and CCK expressing cells. In addition, they can be used as Cre driver models to conditionally delete floxed genes in SST and CCK expressing cells across various tissues.