bluuebunny/crossref_metadata_2025_split huggingface dataset:
CTAB-assisted synthesis of reduced graphene oxide supported Pd nanoparticles(Pd@rGO) as a sustainable heterogeneous catalyst for C-2 arylation of indoles with arylboronic acids.
Authors: GOGOI RAJJYOTI , Borah Geetika 
Published: April 2023

Abstract

A set of Pd nanoclusters embedded in rGO, referred to as Pd@rGO (viz. Pd@rGO0.16, Pd@rGO0.32, Pd@rGO0.48, Pd@rGO1), where subscripts indicate the mmol of cetyltrimethylammonium bromide (CTAB) were synthesized using water as a solvent by simply varying the amount of CTAB that was used to control both morphology and size. TEM analysis indicated that the average particle sizes of Pd@rGO0.16 and Pd@rGO0.32 fall in the range of 4.5-5.0 nm and 20–25 nm, respectively. On the other hand, particles were found to be agglomerated in Pd@rGO0.48 and Pd@rGO1. The Pd@rGO0.16 composite was exhaustively characterized by TEM, SEM-EDAX, powder X-ray diffraction, XPS, and ICP-AES measurements. ICP-AES analysis of Pd@rGO0.16 indicated that 0.01g of Pd@rGO0.16 contains 0.09 mol % Pd. The catalytic potentiality of these NPs was investigated for direct C(sp2)-H bond activation of various indoles with aryl boronic acids. Among the four composites, Pd@rGO0.16 exhibited the best activity for the abovementioned organic transformation. Different indoles with varying electronic groups underwent coupling with aryl boronic acids giving up to 86% product yield. It was retrievable for up to five consecutive catalytic cycles without compromising its catalytic activity.
The results of transperineal versus transrectal prostate extension biopsy: an updated systematic review and meta-analysis
Authors: Dai Jindong , Zeng Yuhao , Wang Minghao , Yang Jiyu , Sun Guangxi , Zhao Jinge , Zhu Sha , Xu Nanwei , Zeng Hong , Zeng Hao , Shen Peng-Fei 
Published: April 2023

Abstract
This systematic review was performed to compare the current understanding of the relative efficacies and complications associated with transperineal (TP) vs. transrectal (TR) prostate biopsy. All clinical controlled trials reporting prostate cancer (PCa) detection rates and complications associated with TP and TR biopsies were systematically identified, including extensive biopsy procedures. A subgroup analysis was performed to assess the impact of certain clinical factors, e.g., prostate-specific antigen (PSA). The pooled analysis for randomized controlled trials (RCTs) combined with comparative case studies (CCSs) showed no difference in the cancer detection rate between TR and TP (risk difference (RD)=-0.01; 95% confidence interval (CI): -0.04–0.02; P = 0.37). There was no significant difference in the cancer detection rate for RCTs (RD=-0.001; 95%CI: -0.006-0.003; P = 0.55) or CCSs (RD=-0.01; 95%CI: -0.05-0.03; P = 0.59). However, more PCa was detected in the subgroup with PSA ≥ 10 ng/ml (RD = 0.07; 95%CI: 0.01–0.13; P = 0.09) and the subgroup with PSA ≥ 20 ng/ml (RD = 0.13; 95%CI: 0.05–0.20; P = 0.001) using TR biopsy across all studies, while this advantage of TR was not found in RCTs alone (RD = 0.13; 95%CI: -0.09-0.35; P = 0.24). And TP detected more PCa in patients with positive mpMRI in MRI-targeted biopsy, with an accuracy rate of 48.5% (205/423) compared to 34.2% (146/427) for the TR route (RD = 0.51; 95%CI: 0.38–0.68; P < 0.01). There was a significantly lower risk of fever (RD = 0.03; 95%CI: 0.01–0.05; P = 0.003) and rectal bleeding (RD = 0.08; 95%CI: 0.01–0.14; P = 0.02) with TP. In conclusion, there was no significant difference in the cancer detection rate between TR and TP, however, TP had advantage over TR in MRI-targeted biopsy; while TP was safer than TR, due to lower risks of fever and rectal bleeding.
Simultaneous quantification of biogenic amines as biomarkers for Parkinson's disease by combining ultraviolet and integrated pulsed amperometric detectors
Authors: Yoon Hae-Jee , Oh Myung Sook , Kwon Ha-Jeong , Hong Seon-Pyo 
Published: April 2023

Abstract
We developed a method combining ultraviolet detection and integrated pulsed amperometric detection for Parkinson's disease diagnosis through the simultaneous quantification of dopamine, 5-hydroxyindolacetic acid, homovanillic acid, serotonin, 3,4-dihydroxyphenylacetic acid, norepinephrine, and epinephrine. All target components were completely separated within 40 min with 5% acetonitrile solution containing 8 mM HClO4 and 0.20 mM − 1-octanesulfonic acid, and showed limits of detection of 0.03–0.10 ng and limits of quantification of 0.10–0.30 ng with linear regression coefficients of 0.9998–1.0000. All inter-day and intra-day precision values were below 9.58%, and the average recoveries were 93.71–109.82% for mouse striatum samples. In a clinical sample application, the levels of the seven components in striatal brain tissue in a mouse model of Parkinson’s disease decreased significantly compared to those of a control group. It was also confirmed via orthogonal partial least squares discriminant analysis that the seven components are useful biomarkers. Our reversed phase–HPLC-UV-IPAD method is expected to be helpful as a simple and economic analytical method for biogenic amines and their metabolites as biomarkers of Parkinson’s disease in clinical and biological labs.
CK-666 protects against ferroptosis and renal ischemia-reperfusion injury through a microfilament-independent mechanism
Authors: Ju Zhenyu , Hu Qian , Sun Wan-Yang , Ou Zexian , Duan Wentao , Qiu Zeyu , Zhao Yanan , Ge Yuanlong , Tang Daolin , Chen Tianfeng , He Rong-Rong , Cheng Xiang , Wu Shu 
Published: April 2023

Abstract
Ferroptosis is a type of regulated cell death caused by iron-dependent accumulation of lipid peroxidation, exhibiting unique morphological changes. Actin microfilaments are crucial for various cellular processes, including morphogenesis, motility, endocytosis, and cell death. However, the role of actin microfilaments in ferroptosis is not well understood. Here, we found that actin microfilaments undergo remodeling and disassembly during ferroptosis. Interestingly, inhibitors targeting actin microfilament remodeling did not impact cell sensitivity to ferroptosis, except for CK-666. Notably, CK-666 attenuated ferroptosis independently of its canonical function of inhibiting the ARP2/3 complex. Further investigation revealed that CK-666 modulates the ferroptosis proteome and prevents lipid degradation during ferroptosis. Liquid chromatography-mass spectrometry analysis and functional assays demonstrated that CK-666 mitigates ferroptosis by directly eliminating lipid peroxidation. Importantly, CK-666 significantly ameliorated renal ischemia-reperfusion injury and ferroptosis in renal tissue. In summary, our findings provide new insights into the relationship between cytoskeleton and ferroptosis, and suggest potential applications of CK-666 in the treatment of ferroptosis-related diseases.
Anthropogenic mineral classification assists resource sustainability
Authors: Zeng Xianlai , Xu Guochang , Li Jinhui 
Published: April 2023

Abstract
A lack of scientific classification and quantification for secondary resources has impeded the systematic and efficient governance of resources. Here, we created an assessment methodology for anthropogenic minerals. Applying it to 42 metals used in 21 types of typical modern products in China, we found the resource gaps between anthropogenic mineral resources (maximum potential) and reserves (accessible amount) were huge. Their ratios were from 23 ± 13–100% in 2021. Today, only 11–17 traditional metals can return to their material streams, and the other 25–31 metals undergo just a single life cycle. In 2021, the total 4.5 ± 1.8 Mt metal loss was worth US$ 8.3 ± 4.2 billion, while the 335 Mt anthropogenic metal stocks were equivalent to about 243 ± 40 Mt potential anthropogenic mineral reserves. New data and insights provided by this innovative methodology can break through current urban mining barriers, assisting in decoupling economic growth from resource depletion and environmental degradation.
Deep computational microscopy via physics-informed end-to-end learning with a learned forward model
Authors: Lee Seung Ah , Kim Hyeongyu , Kim Kyungwon , Lee Kyung Chul , Lee Kyungwon , Eo Taejoon , Jun Yohan , Hwang Dosik 
Published: April 2023

Abstract
Computational microscopy, which merges cutting-edge optical methods with intricate algorithms, offers significant potential for applications such as resolution improvement and quantitative phase retrieval. However, it faces challenges due to high computational demands and the need for precise algorithms. Recent advancements in data-driven deep-learning-based techniques have emerged to mitigate these challenges; however, incorporating physics-based constraints can further address the limitations. In this paper, we propose a deep-learning framework for image reconstruction in computational microscopy that combines the advantages of single-pass, end-to-end inversion and physics-informed learning approaches, while considering the challenges in obtaining exact physics-informed constraints. Our network learns the forward imaging process, which accurately estimates position-dependent optical aberrations and serves as an effective physical prior in the training of the reconstruction model. Validated on Fourier Ptychography (FP), our proposed framework demonstrates fast and robust FP reconstructions that outperform conventional model-based methods with significantly fewer input measurements and exhibits generalizability to unseen samples, as demonstrated by quantitative comparisons with existing methods. We evaluated our approach on various datasets, including human breast cancer pathology samples, the HeLA dataset, and the USAF phase target dataset, demonstrating that our method improves the practicality of computational microscopy by offering high-quality reconstructions with faster speeds over different sample types.
Intraocular pressure, systemic blood pressure, and brain volumes: observational and Mendelian Randomization analyses
Authors: Shang Xianwen , Huang Yu , Zhu Susan , Zhu Zhuoting , Zhang Xueli , Wang Wei , Zhang Xiayin , Liu Jing , Liu Jiahao , Tang Shulin , Ge Zongyuan , Hu Yijun , Yu Honghua , Yang Xiaohong , He Mingguang 
Published: April 2023

Abstract
Background It is unclear whether brain volumes are causally affected by Intraocular pressure (IOP) is highly correlated with blood pressure (BP).Methods The study included 8634 participants for IOP and 36069 participants for BP in observational analyses and 37410 participants for both IOP and BP in Mendelian Randomisation (MR) analyses from UK Biobank. IOP and BP were measured between 2006–2010. Brain volumes were measured using MRI between 2014–2019.Results Higher IOP was associated with smaller volumes of total brain (β (95% CI) for each 5-mmHg increment: -3.24 (-5.05, -1.44) ml) and grey matter (-1.10 (-2.17, -0.03) ml) independent of BP. Diastolic BP (β (95% CI) for each 10-mmHg increment: 0.13 (0.05, 0.21)) was associated with higher white matter hyperintensity (WMH) independent of antihypertensive medications. Associations between IOP and total brain and WMH volumes were stronger in younger individuals or those without hypertension. Associations between DBP/SBP and brain volumes were stronger in younger individuals, women, and lowly educated individuals. All MR analytic methods demonstrated a significant relationship between DBP and WMH (β (95% CI) for each 10-mmHg increment of DBP for inverse-variance weighting method: 0.019 (0.013, 0.026)). The β (95% CI) for grey matter volume (ml) associated with each 5-mmHg increment of IOP for inverse-variance weighting method was − 3.42 (-5.39, -1.45).Conclusions Higher IOP is casually linked to larger grey matter volume reduction while increased DBP casually linked to higher WMH load. Younger or lowly educated individuals deserve more scrutiny for the prevention of brain volume reduction potentially via IOP/DBP lowering.
Gene expression, transcription factor binding and histone modification predict leaf adaxial-abaxial polarity related genes in Arabidopsis thaliana
Authors: Sun Wei , Bonnema Guusje , Wang Xiaowu , Dijk Aalt D.J. 
Published: April 2023

Abstract
Background: Arabidopsis thaliana leaf adaxial-abaxial (ad-abaxial) polarity affects leaf morphology and function. Several genes are known to govern ad-abaxial patterning, but the genetic machinery underlying this process is unclear.
Results: To uncover critical genes involved in leaf ad-abaxial patterning, we applied a combination of in silico prediction using machine learning (ML) and experimental analysis. Genes known to influence ad-abaxial polarity were utilized as ground truth to train a Random Forest model. This model used gene expression data from various tissues and conditions and promoter regulation data (based on ChIP-seq data) as input. This approach enabled us to identify novel ad-abaxial polarity-related genes. Parallel to this, available and newly obtained transcriptome data enabled us to identify genes differentially expressed across leaf ad-abaxial sides. The integration of the set of differentially expressed genes with the ML model predictions validated the model and led to our final set of predicted leaf polarity influencing genes.
Conclusions: Using a combination of in silico prediction using ML and experimental analysis, we obtained a strategy to identify which genes are involved in leaf ad-abaxial specialization. Our final set of 111 genes expands the knowledge of genetic components underlying leaf ad-abaxial polarity specification.
Development and validation of a novel prognosis prediction model for M2-type macrophage of Clear cell carcinoma of kidney
Authors: Rui Sun , Jingdi Zhang 
Published: April 2023

Abstract
Background The aim of this study is to establish a prognostic risk assessment model for coexpressed M2 related genes and to elucidate the role of M2 macrophages within the ccRCC (Clear cell carcinoma of the kidney) immune microenvironment, which may have the potential to enhance the efficacy of ccRCC treatment.Method Transcriptome data, clinical data, and mutation data were obtained from TCGA-KIRC. CIBERSORT was used to calculate the proportion of M2 macrophage cells of each of the 539 samples. Genes associated with macrophage M2 in TCGA-KIRC with the external dataset E-MTAB-1980 from the Arrayexpress database were determined by intersection, and a coexpression network was established. Following lasso regression, a prognostic model was constructed, factors with significant findings were entered into a Cox regression analysis. Next, we used the external dataset E-MTAB-1980 from the ArrayExpress database for validation. Lastly, risk score was evaluated by stroma immune infiltration, GSEA, TMB and drug sensitivity.Results We obtained the top 46 genes most strongly correlated with macrophage M2 in TCGA-KIRC, which are enriched in immune receptor activity, leukocyte and mononuclear cell migration. A model of twelve genes related to the coexpressed macrophage M2 gene was established, we demonstrated that it has good prognostic capacity.Conclusion We proposed a twelve-gene Cox proportional hazard regression model associated with M2 ccRCC macrophage that could provide a measurement method to generate prognostic scores in patients with ccRCC. We discovered that the M2 macrophage infiltration was closely related to tumor metabolism and inversely correlated with risk score in ccRCC. The observations we report here have the potential to provide meaningful candidate biomarkers for the treatment and surveillance of ccRCC.
Sexually dimorphic traits are associated with subsistence strategy in African faces from the Sahel/Savannah belt
Authors: Kleisner Karel , Pokorný Šimon , Černý Viktor 
Published: April 2023

Abstract
Previous research revealed that in some African populations, food-production strategies are associated with facial shape. Nomadic pastoralists living in the African Sahel/Savannah belt have a different facial morphology than their sedentary neighbours. We investigated whether the lifestyle associated with a subsistence pattern has an impact on sexual dimorphism in the facial structure. We employed several methods from geometric morphometrics and demonstrated such effect in four ethnically distinct populations that share the same geographic space. We show that the facial traits which correlate with a subsistence strategy are systematically associated with levels of facial sex-typicality. In particular, we found that faces with more pronounced pastoralist features have on average more masculine facial traits and that this effect is more pronounced in men than in women. In general, though, the magnitude of overall facial dimorphism does not differ between pastoralists and farmers. Pastoralists (in contrast to farmers) tend to have a more masculine facial morphology but facial differences between the sexes are in both groups the same.
Fulfillment and Challenge in The Role of Community and Township Health Center Managers in China : A Grounded Theory Study
Authors: Xin Rao , Jin Wen , Xingyue Wang 
Published: April 2023

Abstract
Background: In China’s health reform , community and township health center are with multiple expectations. However, in this process, the fulfillment and challenge in the role of community and township health center managers need to be revealed to maintain the health reform a sustainable development
Purpose: The purpose of this study is to describe the factors that influence the fulfillment and challenge in the role of community and township health center managers Method: Analysis of 72 interviews with community and township health center manager was performed with grounded theory methodology.
Results: Fulfillment were “seeing positive change ”, “experiencing a variety of relationships”, “being creative to promote development ” and “experiencing professional growth” .Some negative themes that resulted in challenge were “lack of systematically training”, “feeling overwhelmed with the number of hours and duties”, “information system need to be advanced”, “the faculty shortage ”and a “lack of supervision and support from the local administration”
Conclusion: By disclosing aspects of fulfillment and challenge of the community and township health center manager role, the development of community and township health center will be aﬀected.
A assembled hot wire anemometer design
Authors: Xingxing YAO , Fanhao SHEN , Yuan ZHENG , Ting XIAO 
Published: April 2023

Abstract
The hot wire anemometer is a commonly used device for measuring air speed in laboratories. In this paper, the relationship between air speed and temperature in different air speed ranges was analyzed based on the theory of thermal equilibrium. A measurement circuit and hot wire shape were designed based on the principle of the hot wire anemometer, and the linear relationship between current and temperature in the hot wire at different air speeds was verified in an adjustable air speed field. The measured current was used to represent air speed. The designed hot wire anemometer was experimentally validated to provide measurement results that match the theoretical values in different air speed ranges. Finally, the sensitivity of the anemometer in different measurement ranges was determined based on the uncertainty of the instrument's sensitivity and the measurement formula.
A Predictive Model for Diabetic Retinopathy Based on Ensemble Learning
Authors: Wei Jin feng , Yin Xiang lin , Huang Ze min , Zheng Jia rui , Deng Shi jie , Yu Yang , Xu Wei jing , Qiu Hong bin 
Published: April 2023

Abstract
Objective
The purpose of this passage is to predict the risk of type 2 daibetes complicated with retinopathy，we evaluated 14 commonly used models and fusion them in a glm stacking classifier.
Methods
The Clinical data of this passage comes from National Health Science Data Center (Diabetic complications early warning dataset), all the statistical analysis were finished in R-4.2.1, Rstudio. We used recursive feature elimination to get variables we need, we create models in caret package, and computed Accuracy, Precision, Sensitivity, Specificity, F1-score of every models,choose the better models to the stacking classifier.
Results
REF feature screening shows that the accuracy of the models improve with the number of variables, and tends to be flat after more than 30 variables, in order to prevent overfitting, combined with the literature, a total of 45 variables are selected into the model, and the evaluation indicators show that the support vector machine, AdaBoost, XGBoost, rotating forest, are excellent in the first-stage modeling. The fusion of stacking models of generalized linear models is better than stage one models.
Conclusion
The stacking fusion model can improve the performance of the model on the basis of a single model, and can play a certain role in the screening and prediction of high-risk groups with type 2 diabetes complicated by retinopathy in the clinic.
The FLOWERING LOCUS T LIKE 2-1 gene of Chenopodium triggers precocious flowering in Arabidopsis seedlings
Authors: Abeyawardana Oushadee , Moravec Tomáš , Krüger Manuela , Belz Claudia , Gutierrez-Larruscain David , Vondráková Zuzana , Eliášová Kateřina , Štorchová Helena 
Published: April 2023

Abstract
The FLOWERING LOCUS T (FT) gene is the essential integrator of flowering regulatory pathways in angiosperms. The paralogs of the FT gene may perform antagonistic functions, as exemplified by BvFT1, that suppresses flowering in Beta vulgaris, unlike the paralogous activator BvFT2. The roles of FT genes in other amaranths were less investigated. Here, we transformed Arabidopsis thaliana with the FLOWERING LOCUS T like (FTL) genes of Chenopodium and found, that both FTL1 and FTL2-1 accelerated flowering, despite having been the homologs of the Beta vulgaris floral promoter and suppressor, respectively. The floral promotive effect of FTL2-1 was so strong that it caused lethality when overexpressed under the 35S promoter. FTL2-1 placed in inducible cassette accelerated flowering after the induction with methoxyphenozide. The spontaneous induction of FTL2-1 led to precocious flowering in some primary transformants even without chemical induction. After the FTL gene duplication in Amaranthaceae, the FTL1 copy maintained the role of floral activator. The second copy FTL2 underwent subsequent duplication and functional diversification, which enabled to control the onset of flowering in amaranths to adapt to variable environments.
Synthesis, characterization and photocatalytic activity ofpolyaniline grafted Fe3O4@ZnO/GO as a recyclable photocatalyst
Authors: dehghani-dashtabi Mahdieh , Hekmatara Hoda , seyed-yazdi jamileh 
Published: April 2023

Abstract
A novel superparamagnetic Fe3O4@ZnO/GO (F@Z/G) composites with different ratios: (1/1, 1/2, 1/3) of Fe3O4@ZnO core-shell to GO were synthesized using the hydrothermal method. XRD and TEM images proved the formation of magnetite Fe3O4 and ZnO in the form of core-shell which were uniformly loaded on GO sheets. In the next step, OH and COOH functional groups of Fe3O4@ZnO and GO in F@Z/G composites used as initiator for in situ polymerization of aniline and polyaniline grafted Fe3O4@ZnO/GO composites were named as (F@Z/G1-P, F@Z/G2-P, F@Z/G3-P) were successfully produced. The Formation of polyaniline on F@Z/G nanocomposite was confirmed using FTIR, and XRD. The presence of polyaniline in F@Z/G nanocomposites not only retained their superparamagnetic property of F@Z/G composites as recyclable photocatalysts for degradation of methylene blue but also increased their degradation efficiency by speeding up the electron-hole production. The Maximum removal efficiency under the same conditions was obtained for F@Z/G2-P which was reached 86% during 40min.