bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developmental patterns of extracellular matrix molecules in the embryonic and postnatal mouse hindbrain
Authors: Wéber Ildikó , Dakos Adél , Mészár Zoltán , Matesz Clara , Birinyi András 
Published: July 2023

AbstractNormal brain development requires continuous communication between developing neurons and their environment filled by a complex network referred to as extracellular matrix (ECM). The ECM is divided into distinct families of molecules including hyaluronic acid, proteoglycans, and glycoproteins such as tenascins, and link proteins. In this study, we characterize the temporal and spatial distribution of the extracellular matrix molecules in the embryonic and postnatal mouse hindbrain by using antibodies and lectin histochemistry. In the embryo, hyaluronan and neurocan were found in high amounts until the time of birth whereas versican and tenascin-R were detected in lower intensities during the whole embryonic period. After birth, both hyaluronic acid and neurocan still produced intense staining in almost all areas of the hindbrain, while tenascin-R labeling showed a continuous increase during postnatal development. The reaction with WFA and aggrecan was revealed first at P4 with low staining intensities, while HAPLN was detected at P14. The perineuronal net appeared first around the facial and vestibular neurons at P4 with hyaluronic acid cytochemistry. One week after birth aggrecan, neurocan, tenascin-R, and WFA were also accumulated around the neurons located in several hindbrain nuclei, but HAPLN1 was detected on the second postnatal week. Our results provide further evidence that many extracellular macromolecules that will be incorporated into the perineuronal net are already expressed at embryonic and early postnatal stages of development to control differentiation, migration, and synaptogenesis of neurons. In late postnatal period, the experience-driven neuronal activity induces formation of perineuronal net to stabilize synaptic connections.
Hydrothermally Grown SnO 2 and SnO 2 /rGO Nanocomposite and Its Physio-Electrochemical Studies for Pseudocapacitor Electrode Applications
Authors: Osora Helen , Kolkoma David , Anduwan Gabriel , Waimbo Mathew , Velusamy Senthilkumar 
Published: July 2023

Abstract
In this present work, the transition metal oxides of SnO2 and SnO2/rGO nanocomposite were synthesized through a facile hydrothermal method for supercapacitor electrode material applications. The structural, morphological and elemental analysis of the synthesised samples were characterised by X-ray diffractometer technique (XRD), Field emission scanning electron microscopy (FESEM), Energy dispersive X-ray analysis (EDX) and High-resolution transmission electron microscopy (HR-TEM). The morphology of SnO2 was agglomeration of quasi-spherical shape particles with a diameter range of 12–19 nm as observed using the HR-TEM technique. The optical properties were characterised by UV-vis and Raman spectroscopy. The electrochemical performance of SnO2 and SnO2/rGO nanocomposite electrode was studied in a 3M KOH electrolyte. A specific capacitance of 346 F g− 1 at the current density of 0.95 A g− 1 for SnO2/rGO nanocomposite electrode was recorded, which was significantly higher than that of as-synthesised SnO2 electrode (267 F g− 1). The obtained higher capacitance resulted due to the synergistic effect of excellent conductivity and high surface area of rGO within the composite electrode. The exceptional electrochemical properties clearly indicate that the SnO2/rGO nanocomposites are the best for highly efficient pseudocapacitor electrodes in future energy storage devices applications.
WELDONNet: Weighted Ensemble DenseNet121, MobileNetV2, and NASNetMobile to improve skin lesion diseases classification
Authors: SUTAJI Deni , YILDIZ Oktay 
Published: July 2023

Abstract
Skin cancer is classified as an aggressive type of cancer spreading quickly to other organs and tissues. Thus, inappropriate detection of the condition might lead to mortality. Melanoma is the most lethal variety, as it can extend to all human body parts. Early detection by dermatologists is, however, challenging in terms of consistency and timing. Hence, CAD systems have been utilized. Yet, the problems often encountered include class imbalance and noise. Therefore, the present authors propose a new method for detecting multi-class skin lesions by employing weighted ensemble convolutional neural networks (CNN). This study consisted of several steps, firstly, up-sampling and down-sampling of datasets were implemented to overcome the class imbalance problem, and image resizing was performed to scale down the image pixels in order to decrease noise. Secondly, the 20-layered and pre-trained CNN models were introduced. Particularly in the 20-layered model, the three fully connected layers were evaluated before the classification layer. Further, the last block layers were applied for the pre-trained model to obtain more specific features from the skin lesion images. Lastly, the weighted ensemble approach was conducted to improve classification performance. The observed results on the HAM10000 dataset indicate that the proposed strategy has improved an accuracy by 0.43% and 2.99% for 20-layered and pre-trained CNNs, respectively. Furthermore, the proposed WELDONNet model outperformed other CNNs with an accuracy of 99.36%. In sum, the proposed model was applicable to be implemented as a reference for skin cancer early detection systems as well as for prospective further research.
Identification of adaptable sunflower (Helianthus annuus L.) genotypes using yield performance and multiple-traits index
Authors: Baraki Fiseha , Gebregergis Zenawi , Belay Yirga , Teame Goitom , Gebremedhin Zerabruk , Berhe Muez , Fisseha Dawit , Gebregergs Gebremedhn 
Published: July 2023

Abstract

Sunflower is the most important oil crop ranked as fourth edible oil in the world. The study was conducted in Northern Ethiopia during 2017–2019 cropping seasons using randomized completely block design with three replications. The objective was to decipher the genotype-by-environment interaction (GEI) in multi-environment trials (MET) and identify adaptable sunflower genotypes. Combined ANOVA, AMMI ANOVA and Eberhart and Rusell regression were analyzed, and GGE bi-plots, AMMI1 and AMMI2 bi-plots, Principal component Analysis (PCA), multi-trait genotype–ideotype distance index (MGIDI), correlation network plot for sunflower traits were sketched. AMMI stability measures, Best Linear Unbiased Prediction (BLUP) based indexes; parametric and non-parametric statistics were computed using R-statistical software. In the AMMI ANOVA the main effects of the environment (E) (54.18% SS), genotype (G) (16.9% SS) and GEI (23.50% SS) were significant (p < 0.001). The genotypic Likely-hood Ratio Test revealed significant for all traits. The AMMI bi-plot and the GGE bi-plots selected G10 and G2 as the most adaptable genotypes. CV, HMGV, RPGV, HMRPGV, Pi, GAI, KRS, S(3) and S(6) also identified G10 as the most stable genotype. Based on the MGIDI, G10 (MGIDI = 1.45) and G5 (MGIDI = 2.19) are selected and these genotypes are recommended for further cultivation in Tigray.
On the Integral Solution of Hyperbolic Kepler's Equation
Authors: Calvo Manuel , Elipe Antonio , Randez Luis 
Published: July 2023

Abstract

In a recent paper of Philcox, Goodman and Slepian, the solution of elliptic Kepler's equation is given as a quotient of twocontour integrals along a Jordan curve that contains in their interior the unique real solution of elliptic Kepler's equation and does not include other complex zeroes.
In this paper we show that a similar explicit integral solution can be given for the hyperbolic Kepler's equation. With this purpose, we carry out a study of the complex zeros of the hyperbolic Kepler's equation in order to define suitable Jordan contours in the integrals. Even more, we show that appropriate elliptic Jordan contours can be defined for such integrals, which reduces the computing time. Moreover, following the ideas of the Fast Fourier Trnasform (FFT) algorithm, these integrals can be approximated by the composite trapezoidal rule which gives an algorithm with spectral convergence as a function of the number of nodes.
The results of some numerical experiments are presented to show that this implementation is a reliable and very accurate algorithm for solving the hyperbolic Kepler's equation.
A novel immune-related lncRNA as a predictor of survival in HER2+ breast cancer screened via bioinformatics analyses
Authors: Li Xinwei , Meng Yue , Gu Bing 
Published: July 2023

Abstract
Background
HER2+ breast cancer is highly malignant with a poor prognosis. Long non-coding RNAs have been shown to play an significant role in the progression and prognosis of breast cancer, especially in tumor associated immune processes. Therefore, this study aimed to obtain differentially expressed immune-related lncRNAs by bioinformatics analysis to provide novel diagnostic and prognostic targets for HER2+ breast cancer.
Methods
We downloaded breast cancer patient samples and corresponding clinical data from the TCGA database and downloaded Immune gene data from the Immport database. We performed a separate screen for differentially expressed lncRNAs and differentially expressed immune related genes. The immune-related differential lncRNAs were screened by Pearson correlation analysis.ROC curves were constructed for the immune-related differential lncRNAs, and diagnostic lncRNAs were obtained based on AUC values. The prognostic biomarker was subjected to correlation analysis with clinicopathological features, analysis of subcellular localization, and analysis of immune infiltration. We also constructed a lncRNA-mRNA co-expression network and a ceRNA network for the biomarker and performed a functional enrichment analysis for the associated mRNA.
Results
There were 22 total differential lncRNAs and 23 total differential immune genes, of which 19 differential lncRNAs were associated with immune genes. 13 of the 19 immune-related lncRNAs were found to have good diagnostic value, and one lncRNA (CTC-537E7.2) was found to be significantly associated with overall survival time as a prognostic biomarker. Subsequent analysis demonstrated significant differences in biomarkers across clinicopathological features. Biomarkers were expressed in both the cytoplasm and nucleus. In addition, four immune cells were associated with it. Lastly, signaling pathways related to macrophage polarization such as the Jak-STAT signaling pathway were enriched.
Conclusion
CTC-537E7.2 was selected as a candidate prognostic biomarker for HER2+ breast cancer based on bioinformatic analysis.
CEBPB promotes the development of pulmonary arterial hypertension by transforming smooth muscle cell into myofibroblast
Authors: Yu Wande , Pan Chang , Chen qianqian , Wang yi , zhang mengyu , yue Gu , peng Ye , zheng yaguo , shaoliang Chen , hang Zhang 
Published: July 2023

Abstract
Myofibroblast promotes pulmonary vascular remodeling by secreting extracellular matrix and enhancing fibrosis, leading to pulmonary arterial hypertension (PAH). We analyzed single cell sequencing data of lung tissues from PAH and control groups in GEO database and identified myofibroblast from smooth muscle cell (SMC). By comparing transcriptomic profiles of SMC and myofibroblast with SCENIC, We found that CEBPB may regulate marker genes in the transformation of SMC into myofibroblast. Besides, the protein levels of CEBPB in PAH was increasing. Knockdown of CCAAT box enhancer binding protein-B (CEBPB) inhibited the abnormal proliferation and migration of PASMC from PAH rats or under hypoxia, accompanied by downregulation of fibroblast related marker genes in PASMC. Subsequently, we achieved smooth muscle specific knockdown of CEBPB by injecting adeno-associated virus (AAVs) carrying CEBPB siRNA into Tagln-cre heterozygote mouse 2 weeks before constructing PAH model. Smooth muscle specific knockdown of CEBPB significantly alleviated lung tissue and pulmonary vascular fibrosis of PAH models. Further more, smooth muscle specific knockdown of CEBPB decreased right ventricular systolic pressure and inhibited pulmonary vascular remodeling. The current study reveals the regulatory role of CEBPB in PAH and provide novel insights into the pathogenesis of PAH.
Associations of dichlorophenol with metabolic syndrome based on multivariate-adjusted logistic regression: A U.S. nationwide population-based study 2003-2016
Authors: Jing Cai , Yang Zhichao , Zhao Sen , Ke Xing 
Published: July 2023

Abstract

Background Para-dichlorobenzene (p-DCB) exposure associated with oxidative stress has indeed raised public concerns. However, whether p-DCB is linked with metabolic syndrome (MetS) remains unclear. This study aimed to examine the associations of exposure to p-DCB with MetS prevalence. Methods We included 10,428 participants (5,084 men and 5,344 women) adults (aged ≥ 20 years) from the National Health and Nutrition Examination Survey (2003–2016). The cases of MetS were diagnosed by NCEP/ATPIII. Logistic regression models were conducted to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) of MetS prevalence. Results We documented 2,861 (27.1%) MetS cases. After adjustment for the potential risk factors, the ORs (95% CI) of MetS prevalence across the quartile of urinary 2,5-dichlorophenol (2,5-DCP) were 1.09 (0.93–1.28), 1.22 (1.00-1.49), and 1.34 (1.04–1.73). Moreover, 2,5 DCP is significantly associated with a higher prevalence of abdominal obesity. We further examined that 2,5 DCP was correlated with higher systolic blood pressure, waist circumference, and glycohemoglobin and a lower high density cholesterol. In addition, the significant positive associations between 2,5 DCP and MetS were robust in the subgroup and sensitivity analyses. Conclusion These findings indicated that increased urinary p-DCB concentration, especially 2,5 DCP, had a higher MetS prevalence.
Central Obesity, Body Mass Index, Metabolic Syndrome and Mortality in Mediterranean Breast Cancer Patients
Authors: Crispo Anna , Augustin Livia Silvia , Luongo Assunta , Calderaio Claudia , Breda Joao , Coluccia Sergio , Calabrese Alessandra , Marrazzo Vittorio , Giannatiempo Rosa , Trasacco Paola , Palumbo Elvira , Vitale Sara , Porciello Giuseppe , Gennaro Piergiacomo Di , Caputo Roberta , Buono Giuseppe , Vernieri Claudio , Schettini Francesco , Grimaldi Maria , Nocerino Flavia , Celentano Egidio , Amore Alfonso , Giuliano Mario , De Placido Pietro , De Angelis Carmine , Bianco Roberto , De Laurentiis Michelino , Vecchia Carlo La , Arpino Grazia 
Published: July 2023

Abstract
Background: Obesity and metabolic disorders have been associated with poorer outcomes in many cohorts
of breast cancer (BC) patients, with poor evidence from Mediterranean cohorts. The purpose of this study is to investigate the prognostic potential of anthropometric variables in early BC patients living in a Southern region of Italy.
Methods: This prospective cohort study enrolled 955 consecutive early BC patients treated at the Istituto Nazionale dei Tumori “G. Pascale” and at the University Hospital “Federico II”, Naples, Italy, between January 2009 and December 2013. Median follow-up was 11.8 years and ended on June 15th 2022. Anthropometric measurements and indices namely body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), as well as Metabolic Syndrome (MetS) and its components, were collected. All-cause and BC-specific mortality were calculated.

Results: Mean age was 55.3 years (±12.5 years); 61% of patients were post-menopausal. At data cut-off, 208 (22%) patients had died, 131 (14%) of whom from BC. Obesity was found in 29% of patients. High WC or WHR and the presence of MetS were associated with a moderately increased risk of all-cause mortality (WC ≥ 88 cm, HR=1.39, 95%CI:1.00-1.94; WHR > 0.85, HR=1.62, 95%CI:1.12-2.37; MetS, HR=1.61, 95%CI:1.12-2.32). An increased BC-specific mortality risk was found in obese patients (HR=1.72, 95%CI:1.06-2.78), in those with WC ≥88 (HR=1.71, 95%CI:1.12-2.61)and in those with high WHR, both when evaluated as a categorical variable (WHR>0.85, HR=1.80, 95%CI:1.13-2.86) and as a continuous variable (for each 0.1-U increase in WHR, HR=1.33, 95%CI:1.08-1.63) as well as the presence of MetS (HR=1.81, 95%CI:1.51-2.85). These associations varied according to menopausal status and BC subtype.
Conclusions: Central obesity significantly increased total and BC-specific mortality particularly in pre-menopausal women, while in post-menopause the MetS was a stronger risk factor. These associations were significant mainly in luminal subtypes while no relevant findings were observed in TNBC. The magnitude of risk suggests that obesity and the presence of the MetS or its single components may nullify the benefit of effective BC therapies. Active lifestyle intervention studies should be encouraged for several expected beneficial effects.
Solving Partial Derivation Equations in Detail in Double- Rotor Flux Switching Permanent Magnet with H-Shape Stator Machines to Obtain Magnetic Flux Density
Authors: Shirzad Ehsan 
Published: July 2023

Abstract
In this paper, aim is turning double-rotor flux switching permanent magnet with H-shape stator machine (DRFSPMWHSSMs) into mathematical equations via Maxwell relations to provide a 3-quasi model for calculating flux density at arbitrary point of DRFSPMWHSSMs. Remarkable reason for opting this type of machine is 2 rotors can be energized only by integrated stator that is an obstacle against squandering core loss. Merging reluctance and permanent magnet machine into a configuration has high advantages like receiving appropriate power density in low volume of geometric structure. The model implemented in this article can be answerable for the entire distinct mentioned machine with the different number of teethes. After extracting equations, comparison between numerical method and this analytical model for efficacy of analytical model is done.
Ionic solvent shell drives electroactuation in organic mixed ionic-electronic conductors
Authors: Cramer Tobias , Bonafè Filippo , Decataldo Francesco , Fraboni Beatrice 
Published: July 2023

Abstract
The conversion of electrochemical processes into mechanical deformation in organic mixed ionic-electronic conductors (OMIECs) enables artificial muscle-like actuators but is also critical for degradation processes affecting OMIEC based devices. To provide a microscopic understanding of electroactuation, we introduce here the modulated electrochemical atomic force microscopy (mEC-AFM) as a novel characterization method for electroactive materials. The technique enables multidimensional spectroscopic investigations of local electroactuation and charge uptake giving access to the electroactuation transfer function. For poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) based microelectrodes we combine the spectroscopic measurements with multichannel mEC-AFM imaging, providing maps of local electroactuation amplitude and phase as well as surface morphology. Our results demonstrate that the amplitude and timescales of electroactuation are governed by the drift motion of hydrated ions. Accordingly, slower water diffusion processes are not limiting, and the results illustrate how OMIEC microactuators can operate at sub-millisecond timescales.
The Positional Relationship between Lacunae and White Matter Hyperintensity
in Patients with Cerebral Small Vessel Disease
Authors: An Lu , Yuan Wenxin , Wang Yunchao , Li Shanshan , Zong Ce , Gao Yuan , Li Yusheng , Wang Limei , Li Ya Peng , Ji Yan , Xu Yuming 
Published: July 2023

Background:
Lacunae and white matter hyperintensity (WMH) are two crucial imaging
biomarkers of cerebral small vessel disease (CSVD). Multiple studies have revealed a close relationship
between WMH and lacunae and found that a double penumbra existed at the edge of
WMH that affects lacunae formation. The study aimed to explore the spatial distribution characteristics
and possible influencing factors of lacuna in relation to white matter hyperintensity in patients
with CSVD.

Methods:
A total of 480 CSVD patients with WMH and with or without lacunae were included.
Data about blood biochemical indicators, cerebrovascular CT angiography, 24-hour ambulatory
blood pressure and ambulatory electrocardiogram, brain magnetic resonance imaging, and transcranial
Doppler ultrasound were gathered from all subjects. They were categorised into four
groups based on the spatial interaction between lacunae and WMH. Univariate analyses and multiple
logistic regression analyses were used to compare the differences in traditional vascular risk
factors, heart rate and blood pressure indicators, arterial pulsatility index (PI) values, and arterial
stenosis among different groups.

Results:
The average age of 480 patients was (58.63 ± 11.91) years, with 347 males (72.3%). Univariate
analysis indicated that age, fasting blood glucose, triglycerides, total cholesterol, highdensity
lipoprotein, 24-hour and daytime and night systolic and diastolic blood pressure, nocturnal
heart rate, heart rate variability, PI values of ipsilateral and contralateral MCA (middle cerebral
artery) and ICA (Internal carotid artery) of the lacunae, Fazekas score of PWMH (periventricular
white matter hyperintensities), the proportion of MCA or ICA with stenosis rate over 50% on the
ipsilateral side of the lacunae were significantly different between different groups (p < 0.05). High
fasting blood glucose (OR=1.632, 95% CI= (1.128, 2.361), p =0.009), (OR=1.789, 95%CI=
(1.270, 2.520), p = 0.001), (OR=1.806, 95% CI= (1.292, 2.524), p =0.001) was identified as a risk
factor for lacunae formation by logistic regression analysis.

Conclusion:
High fasting blood glucose can be considered a risk factor for lacunae formation in
patients with WMH. The more severe the PWMH and the higher the nocturnal heart rate, the more
likely the lacunae, as well as PWMH, overlap completely. Ipsilateral arteriosclerosis and stenosis
are independent risk factors for no contact between lacunae and PWMH.
Ultrasound Diagnosis of Renal Cell Carcinoma associated with Xp11.2
Translocation/TFE3 Gene Fusion in Children and Adolescents
Authors: Deng Ling-ling , Wang Fuqian , Luan Qinhua , Liu Wei , Teng Jianbo , Ban Yongguang 
Published: July 2023

Background:
Many studies have reported Xp 11.2 translocation renal cancer in radioimaging,but there is little literature on the evaluation of Xp11.2 translocation renal cell carcinoma by ultrasound.

Objective:
To investigate the ultrasonographic features and diagnostic value of renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion in children and adolescents.

Materials and Methods:
The clinical and ultrasonographic data of 10 patients with renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion confirmed by pathology in our hospital were analyzed retrospectively. The age ranged from 3 to 18 years old, including 7 males and 3 females. The tumor location, size, boundary, echo, hemorrhage, cystic change, calcification, blood flow, lymph node status and metastasis were mainly observed, and the results were compared with the pathological results.

Results:
There were 10 masses in 10 cases of renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion, including 4 in the right kidney and 6 in the left kidney; the maximum diameter line is 5-23cm; 9 cases had clear mass boundary (90%); 9 masses (90%) showed mixed cystic and solid masses with high echo of solid components, and 1 mass (10%) showed huge multilocular cystic mass with multiple septations; necrosis and cystic changes were seen in all 10 masses (100%); calcification in 5 masses (50%); blood flow signals were seen in the solid components of the mass (100%).

Conclusion:
Renal cell carcinoma associated with Xp11.2 translocation/TFE3 gene fusion in children and adolescents are mostly large cystic and solid mixed echo masses, with high echo of solid components, and often accompanied by cystic changes and calcification. Its ultrasonic manifestations have certain characteristics. Color Doppler ultrasound has a certain diagnostic value for this disease.