bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cost-efficient bio-based food packaging films from the dragon fruit peel and pomegranate peel
Authors: WANG Wenhui , Xue Guoli , Qu Yanjun , Wang Ru , Wei Yiping , Liu Miao , Shen Caihong , Song Ping , Zhang Se 
Published: September 2022

Abstract

In this study, two fruit processing coproducts, pomegranate peel and dragon fruit peel, were mixed to fabricate a composite film that can be used in food packaging. Therefore, the purpose of this study was to prepare and evaluate a dragon fruit peel polysaccharide film incorporating pomegranate peel polyphenols. The films were evaluated for their morphology, mechanical properties, crystallinity, solubility, UV resistance, oxidation resistance, and bacteriostatic properties. Different concentrations (0, 0.3, 0.5, 0.7%, w/w) of pomegranate peel polyphenols were added to the dragon fruit peel polysaccharide film by casting technology. The results showed that the addition of pomegranate peel polyphenols made the film hydrophobic, decreased the water vapor transmission rate of the film, and reduced the solubility of the film (p<0.05). Furthermore, the UV transmittance decreased with increasing concentration of pomegranate peel polyphenols (p < 0.05). By contrast, the thermal properties were not significantly affected by the concentration of pomegranate peel polyphenols. After the addition of pomegranate peel polyphenols, the surface of the film became rougher while the cross-section became smoother. X-ray diffraction (XRD) analysis and Fourier transform infrared (FTIR) spectroscopy showed that the crystalline nature and functional groups of the film did not change significantly. The compatibility of the film-forming substances was good, and the obtained films also exhibited good mechanical properties. Importantly, the addition of pomegranate peel polyphenols endowed the dragon fruit peel polysaccharide film with excellent antibacterial properties, while also significantly improves the antioxidant activity and UV-resistance of the film. The dragon fruit peel polysaccharide film with 0.7% (w/w) pomegranate peel polyphenols showed the best overall performance. This alternative material is a potential substitute for petrochemical packaging, alleviating serious environmental pollution problems.
Neurotoxicity of Bisphenol A and the impact of melatonin administration on oxidative stress, ERK/NF-kB signaling pathway and behavior in rats
Authors: Berghian Alexandra C. Sevastre – , Casandra Cristina , Gheban Dan , Olteanu Diana , Olănescu Maria Cristina , Rogojan Liliana , Filip Gabriela Adriana , Bâldea Ioana 
Published: September 2022

Abstract

Bisphenol A (BPA) exposure can be associated with neurodevelopmental disorders due to impairment of cell proliferation and synaptic development. Our study evaluated the effects of melatonin (MEL) on ambulatory activity, lipid peroxidation, cytokines, ERK/NF-kB signaling pathway in hippocampus and frontal lobe, and histopathological changes in the hippocampus of the BPA-treated rats. The animals were divided in 4 groups: control, BPA, BPA + MEL I, BPA + MEL II. MEL I (20 mg/kg b.w), and MEL II (40 mg/kg b.w.) were orally administered for 28 days. In the 29th day, BPA (1 mg/kg b.w) was intraperitoneally administered and, after 24 h, Open Field Test (OFT) and Elevated Plus Maze (EPM), were conducted. The results showed that MEL II group made significantly more entries in the open arms of EPM, travelled significantly greater distance and spent more time in the central part of OFT. Malondialdehyde levels were diminished by MEL II in the hippocampus and by MEL I in the frontal lobe. In the hippocampus, MAPK level was significantly lowered by both doses of MEL (p < 0.05) while in frontal lobe, only MEL II reduced the MAPK activation. MEL I and II significantly decreased the γH2AX and upregulated the NFkB and pNFkB expressions in the hippocampus while MEL II downregulated the MCP1 expression. Both doses of MEL attenuated the BPA-evoked histopathological alterations in the hippocampus. These data indicate that MEL can mediate the neuroprotection against BPA-induced neurotoxicity and improves the behavioral changes suggesting a real potential as protective agent in brain toxicity.
VHL-HIF-2α axis-induced SEMA6A upregulation stabilized β-catenin to drive clear cell renal cell carcinoma progression
Authors: Ji Jing , Xu Yuxin , Xie Mengru , He Xinbei , Liu Wenwen , Chen Zefeng , Shi Wen , zhang zhen , Liu Wei , Wang Xiuju , Wang Weiling , Ma Jinming , Qian Qilan , Jing Aixin , Ding Yuanyuan , Yang Jiayan , Qian Jingting , liu bin 
Published: September 2022

Abstract

SEMA6Ais a multifunctional transmembrane semaphorin protein that participates in various cellular processes, including axon guidance, cell migration, and cancer progression. However, the role ofSEMA6Ain clear cell renal cell carcinoma (ccRCC) is unclear. Based on high-throughput sequencing data, here we report thatSEMA6Ais a novel target gene of theVHL-HIF-2αaxis and overexpressed in ccRCC. Chromatin immunoprecipitation and reporter assays revealed thatHIF-2αdirectly activatedSEMA6Atranscription in hypoxic ccRCC cells.Wnt/β-catenin pathway activation is correlated with the expression ofSEMA6Ain ccRCC; the latter physically interacted withSEC62and promoted ccRCC progression throughSEC62-dependent β-catenin stabilization and activation. Depletion ofSEMA6AimpairedHIF-2α-inducedWnt/β-catenin pathway activation and led to defective ccRCC cell proliferation both in vitro and in vivo.SEMA6Aoverexpression promoted the malignant phenotypes of ccRCC, which was reversed bySEC62depletion. Collectively, this study revealed a potential role forVHL-HIF-2α-SEMA6A-SEC62axis in the activation ofWnt/β-catenin pathway. Thus,SEMA6Amay act as a potential therapeutic target, especially inVHL-deficient ccRCC.
A minimally invasive fin scratching protocol for fast genotyping and early selection of zebrafish embryos
Authors: Venditti Martina , Pedalino Catia , Rosello Marion , Fasano Giulia , Serafini Malo , Revenu Céline , Bene Filippo Del , Tartaglia Marco , Lauri Antonella 
Published: September 2022

Abstract
Current genetic modification and phenotyping methods in teleost fish allow detailed investigation of vertebrate mechanisms of development, modeling of specific aspects of human diseases and efficient testing of drugs at an organ/organismal level in an unparalleled fast and large-scale mode. Fish-based experimental approaches have boosted the in vivo verification and implementation of scientific advances, offering the quality guaranteed by animal models that ultimately benefit human health, and are not yet fully replaceable by even the most sophisticated in vitro alternatives. Thanks to highly efficient and constantly advancing genetic engineering as well as non-invasive phenotyping methods, the small zebrafish is quickly becoming a popular alternative to large animals’ experimentation. This approach is commonly associated to invasive procedures and increased burden. Here, we present a rapid and minimally invasive method to obtain sufficient genomic material from single zebrafish embryos by simple and precise tail fin scratching that can be robustly used for at least two rounds of genotyping already from embryos within 48 hours of development. The described protocol betters currently available methods (such as fin clipping), by minimizing the relative animal distress associated with biopsy at later or adult stages. It allows early selection of embryos with desired genotypes for strategize culturing or genotype-phenotype correlation experiments, resulting in a net reduction of “surplus” animals used for mutant line generation.
Risk Perception as a Motivational Resource during the COVID-19 Pandemic: The Role of Vaccination Status and Emerging Variants
Authors: Waterschoot Joachim , Vansteenkiste Maarten , Yzerbyt Vincent , Morbée Sofie , Klein Olivier , Luminet Olivier , Schmitz Mathias , Oost Pascaline Van , Raemdonck Eveline , Brisbois Marie , Bergh Omer Van den 
Published: September 2022

Abstract
Background: People’s perceived risk to be infected and to have severe illness has been thought as a motivational source of adherence to behavioral measures during the COVID-19 crisis.
Methods: We used online self-reported data, spanning 20 months of the COVID-19 crisis in [blinded] (n = 241,275; 34% vaccinated; July 2020 - March 2022).
Results: The findings demonstrate, especially among vaccinated persons, that people’s perceived severity was more prominent than perceived probability for infection, up until Omicron emerged. At both the between-persons and between-day levels, perceived severity was the most strongly related to autonomous motivation, a pattern that was less pronounced for unvaccinated people towards the end of the crisis.
Conclusions: These findings show that variation in risk perceptions largely accounts for the variation in both between-individuals’ and day-to-day variation in motivation to adhere to the measures, thereby showing a sensitivity to the characteristics of the variants of the virus and the role of one’s vaccination status.
Analysis of risk factors for failure of autologous arteriovenous endovascular fistula in patients on maintenance hemodialysis
Authors: Jia Wanning , Yang Liu , He Wenwen , Gao Liqian 
Published: September 2022

Abstract
Objective: To look at the risk factors for autologous arteriovenous endovascular fistula dysfunction in hemodialysis patients (MHD).
Methods: As of July 2022, of the 49 patients who received MHD treatment in 1 our hemodialysis facility, 25 were classified as normal and 24 were classified as dysfunction. To examine the risk variables influencing the dysfunction of internal fistula in MHD patients, general clinical data and laboratory test results were gathered from both groups.
Results: Patients in the dysfunctional group had higher hemoglobin levels, higher red blood cell counts, were more likely to smoke, and had more combined diabetics than those in the normal group; however, iPTH levels were lower (P 0.05) than those in the normal group. Multifactorial logistic regression study showed that high erythrocyte levels, iPTH levels, age, smoking, and concomitant diabetes were independent risk factors for endovascular failure in patients with MHD (P < 0.05).
Conclusion: High erythrocyte level, iPTH level, age, smoking, and coupled diabetes mellitus are all strongly associated with the failure of autologous arteriovenous fistula in MHD patients. To decrease the likelihood of autologous arteriovenous endovascular fistula failure by raising awareness of endovascular fistula maintenance, using a rope ladder puncture technique to puncture from a distance to a close proximity, and encouraging patients to quit smoking.
Ancient implications for today’s precision medicine: How the first Near East farmers shaped the European genetic risk architecture for IBD
Authors: Krause-Kyora Ben , Torres Guillermo , Silva Nicolas da , Kolbe Daniel , Dose Janina , Schade-Lindig Sabine , Wahl Joachim , Berszin Carola , Francken Michael , Görner Irina , Schierhold Kerstin , Pechtl Joachim , Grupe Gisela , Caliebe Amke , Müller Johannes , Schreiber Stefan , Nebel Almut 
Published: September 2022

Abstract
Inflammatory bowel disease (IBD) is often described as a model for modern civilization diseases in which environmental factors trigger disease manifestation in genetically compromised individuals. Little is known about the evolutionary history of variants associated with IBD in modern Europeans. Here, we analysed 610 IBD-variants in 2445 ancient datasets from human remains spanning the last 12,000 years, including genotypes generated from 172 newly collected individuals from the European Neolithic. We found statistically significant differences in the frequencies of 97 IBD variants between Neolithic and modern populations that can be explained by the adoption of an agricultural lifestyle and behaviour and concomitant possible microbiome changes in the earliest farmers. Later admixture events and selection against pathogens largely influenced the genetic risk architecture of IBD in contemporary Europeans. A better understanding of the evolutionary history of disease variants is an important first step in translating genetic findings into preventive health care.
Development and validation of risk prediction model for sarcopenia in patients with colorectal cancer
Authors: Zhang Ying , Sun Shufeng , Huang Weijian , Yu Luxin , Zhu Yongjian 
Published: September 2022

Abstract
Objectives
Sarcopenia is associated with a poor prognosis in patients with colorectal cancer. However, the clinical factors that lead to colorectal cancer patients with sarcopenia are still unclear. The objectives of the study are to develop and validate a nomogram that predicts the happen of sarcopenia and provide a reliable tool for healthcare providers to identify the high-risk population of colorectal cancer patients with sarcopenia early.
Methods
A total of 359 patients diagnosed with colorectal cancer from July 2021 to May 2022 were included. All patients were randomly divided into a training (n = 287) cohort and a validation cohort (n = 72) at the ratio of 80/20. Univariate and multivariate logistic analysis were performed to evaluate the factors associated with sarcopenia. The diagnostic nomogram of sarcopenia in patients with colorectal cancer was constructed in the training cohort and was validated in the validation cohort. AUC, calibration curve and Hosmer-Lemeshow test were used to evaluate the performance of the nomogram.
Results
Smoking history, drinking history, diabetes, TNM stage, nutritional status, and physical activity were included in the nomogram for the prediction of sarcopenia. The diagnostic nomograms exhibited good discrimination, the AUC value of the diagnostic nomogram is 0.971 and 0.922 in the training and verification cohort. Nomogram's calibration work is also excellent (H-L test:0.886).
Conclusions
The nomogram composed of preoperative factors can successfully predict the occurrence of sarcopenia in patients with colorectal cancer, which is helpful to early identify the high-risk population and employ an intervention for them timely.
A structure-based drug repurposing approach by considering the twenty four SARS-CoV2 Targets: A consensus scoring approach
Authors: Jamir Esther , Sarma Himakshi , Priyadarsinee Lipsa , Kiewhuo Kikrusenuo , Nagamani Selvaraman , Sastry G. Narahari 
Published: September 2022

AbstractDrug repurposing is emerging as a vital approach for identifying known drugs with potential therapeutic indications for COVID-19 disease. This aims to categorize and develop therapeutics by identifying existing approved drugs from drug libraries that can effectively reduce drug development time, cost and safety risk. In the current study, virtual screening of known drugs has been carried out against 24 proteins of SARS-CoV2 (NSP1-NSP16, envelope, membrane, nucleoprotein, spike, ORF3a, ORF6, ORF7a, ORF8, and ORF9b). A total of 4193 approved drugs were screened against these targets using AutoDock Vina. The drugs were classified into active and inactive molecules based on the threshold value of the docking score and the therapeutic indications of top 10 and bottom 10 drugs were analyzed in detail. From the study, it was observed that most of the active drugs have antiviral, antibacterial, anticancer, pain and central nervous system based therapeutic properties. The inactive compounds mainly fall in the categories of anti-depressive, vitamin deficiency molecules, and also antiseptics properties. Overall, the outcome of this study will help in identifying the groups of drugs or scaffold that may have activity against COVID-19 targets.
Geodesic Tracking via New Data-driven Connections of Cartan Type for Vascular Tree Tracking
Authors: Berg Nicky J. van den , Smets Bart M.N. , Pai Gautam , Mirebeau Jean-Marie , Duits Remco 
Published: September 2022

Abstract
We introduce a data-driven version of the plus Cartan connection on the homogeneous space $\mathbb{M}_2$ of 2D positions and orientations. We formulate a theorem that describes all shortest and straight curves (parallel velocity and parallel momentum, respectively) with respect to this new data-driven connection and corresponding Riemannian manifold. Then we use these shortest curves for geodesic tracking of complex vasculature in multi-orientation image representations defined on $\mathbb{M}_{2}$. The data-driven Cartan connection characterizes the Hamiltonian flow of all geodesics. It also allows for improved adaptation to curvature and misalignment of the (lifted) vessel structure that we track via globally optimal geodesics. We compute these geodesics numerically via steepest descent on distance maps on $\mathbb{M}_2$ that we compute by a new modified anisotropic fast-marching method.
Our experiments range from tracking single blood vessels with fixed endpoints to tracking complete vascular trees in retinal images. Single vessel tracking is performed in a single run in the multi-orientation image representation, where we project the resulting geodesics back onto the underlying image. The complete vascular tree tracking requires only two runs and avoids prior segmentation, placement of extra anchor points, and dynamic switching between geodesic models.
Altogether we provide a geodesic tracking method using a single, flexible, transparent, data-driven geodesic model providing globally optimal curves which correctly follow highly complex vascular structures in retinal images.
All experiments in this article can be reproduced via documented \emph{Mathematica} notebooks available at \cite{githubNicky}.
Deep Searching Based Optimized Machine Translation for Language Translation Tool
Authors: Velmurugan K Jayasakthi , Sumathy G , Pradeep K.V 
Published: September 2022

Abstract

Fuzzy matching techniques are the presently used methods in translating the words. Neural machine translation and statistical machine translation are the methods used in MT. In machine translator tool, the strategy employed for translation needs to handle large amount of datasets and therefore the performance in retrieving correct matching output can be affected. In order to improve the matching score of MT, the advanced techniques can be presented by modifying the existing fuzzy based translator and neural machine translator. The conventional process of modifying architectures and encoding schemes are tedious process. Similarly the preprocessing of datasets also involves more time consumption and memory utilization. In this paper, a new spider web based searching enhanced translation is presented to be employed with the neural machine translator. The proposed scheme enables deep searching of available dataset to detect the accurate matching result. In addition, the quality of translation is improved by presenting an optimal selection scheme for using the sentence matches in source augmentation. The matches retrieved using various matching scores are applied to an optimization algorithm. The source augmentation using optimal retrieved matches increases the translation quality. Further, the selection of optimal match combination helps to reduce time requirement, since it is not necessary to test all retrieved matches in finding target sentence. The performance of translation is validated by measuring the quality of translation using BLEU score. The results are evaluated and compared with other available NMT methods to validate the work.
The effect of older population on public health spending: evidences from Spain.
Authors: Navarro-García Carlos , Sarria-Santamera Antonio 
Published: September 2022

Abstract

The gradual ageing of the population, and its effect on public spending, constitutes an urgent challenge for advanced economies. In this context, the effect that the older population has on the growing public health spending is a topic of great interest to researchers and policy makers. This cross-sectional study analyzes, through logistic regression, the effect that the elderly population has on Spanish public health spending based on the factors associated with its use, through the analysis of different dependent variables of use of health services and consumption of health technology. The results indicate that although, in general terms, aged has an effect on the consumption of both health services and technology, the main factors that explain both are related to the so-called need factors: self-reported health status, presence of chronic diseases, and disability. The results of this study may be valid for the design of public health policies that allow rationalizing the consumption of health services and health technology.
Investigation onto the reliability of the selective laser melting process
Authors: Leordean Dan , Cosma Cosmin , Radu Adrian , Vilau Cristian , Balc Nicolae , Dudescu Mircea Cristian 
Published: September 2022

Abstract
The paper aims to offer the readers knowledge and information, to support new implementation and use of the SLM technology for practical applications and to obtain good metal parts for end users. The SLM parameters and conditions were evaluated to set up a scale and estimate how reliable the SLM-AM process is, on a particular type of machine. The experimental research was carried out in the last years by the authors, using the Realizer 250 machine. Many times, there is a lack of repeatability and reliability of the SLM process. The paper is presenting a new method to evaluate the repeatability and the surface roughness, when processing four types of powder materials, mainly for medical applications. Specimens were manufactured from four materials considered as being bio-metals: pure Titanium, Ti6Al7Nb, CoCr, and CoCrWMo. All these important features of the SLM parts were for seen by the authors in close relation with the mechanical characteristics of the parts. In this way, a good instrument is offered for further FEA applications, such as static and dynamic analysis. The main achievement of this paper is our proposed methodology, useful for a new user to design and analyse a specific practical SLM part. In this way, it will be possible for sure to manufacture that part by SLM, using the Realizer 250 machine, from one of the four types of materials, that the authors are presenting detailed data regarding their physical-mechanical properties.
The Stabilization, Some Physicochemical and Sensory Properties of Hazelnut Butter Fortified With Grape Molasses
Authors: Şimşek Atilla , Gültekin Soykan , Turan Emre 
Published: September 2022

Abstract
This study determined some physicochemical and sensory properties of hazelnut butter fortified with grape molasses (GMHB), and stabilization conditions were determined for 37 days at 25 and 45 oC. The most suitable GMHB formulations in terms of structure, colour, viscosity, aroma, and preservation of stability were among 73-85.5% Hazelnut puree (HP), 14.5–25.5% Grape molasses (GM), 1.5-3% Stabilizer (Stb) and 1.5% Skim milk powder (SMP). The highest cumulative oil separation was observed in the control samples without Stb, stored at 45 oC. Also, mathematical equations reflecting the relationship between oil separation rates and storage processes (temperature-time) can be used to calculate cumulative oil separation (R2 = 96-99.8%). Added GM, in addition to the rich composition of HP, further enriched the GMHB in terms of mineral matter, sugar, and total phenolics. Among the GMHB formulations, the panellists most liked A3 with high average colour, taste, and odour scores.