bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modulation of MAPK/Nrf2-HO1/Akt-eNOS/inflammasome pathways by morin in myocardial infarction in diabetic rats
Authors: Verma Vipin Kumar , Malik Salma , Sahu Anil Kumar , Prajapati Vaishali , Bhatia Jagriti , Arya Dharamvir Singh 
Published: January 2023

Abstract
Purpose: Diabetes is a risk factor that predisposes to atherosclerotic cardiovascular diseases. The risk of myocardial infarction in diabetes is 3-4 times higher. In diabetes, high blood glucose levels lead to vascular inflammation which accelerates atherosclerosis. Hence, we evaluate the mechanism involved in the cardioprotective action of Morin in diabetic rats.
Methods: In male Wistar rats, streptozotocin (70 mg/kg; i.p.) was administered to induce diabetes and, rats with fasting blood glucose levels >400 mg/dl were considered diabetic and included in the study. These rats were divided into five groups (n=8), i.e., Normal; Diabetic-control; Diabetes+Isoproterenol (ISO); Diabetes+ISO+Morin and, Diabetes+Morin. Morin was orally administered at the dose of 40 mg/kg for 28 days and on the 27th and 28th day ISO was administered to designate groups at the dose of 85mg/kg s.c., to induce myocardial infarction.
Results: Free radical generation in diabetes as well as the rush of ROS following ISO administration leads to activation of the intrinsic as well as extrinsic pathways of apoptosis. Morin significantly (p≤0.05) reduced oxidative stress (áGSH, âMDA, áSOD), cardiac injury markers (âCK-MB, âLDH), inflammation (âTNF, âIL-6) and apoptosis (âBax, áBCl2, áCaspase-3). In addition, it also reduced serum insulin and blood glucose levels. Histopathology showed cardio-protection with morin. Akt/eNOS, Nrf2/HO-1, MAPK signalling pathways and Insulin signal transduction pathways were positively modulated by Morin pre-treatment. It also significantly modulated NLRP3 inflammasome formation.
Conclusion: Morin attenuated oxidative stress and inflammation and also modified expression of various molecular pathways to mitigate cardiomyocyte damage during ISO induced MI in diabetic rats.
Indian Licence Plate Recognition System using Deep learning and Random Forest
Authors: Sharma Nitin , Dahiya Pawan Kumar , Lalit Reema , Mittal Nitin , Gehlot Anita , Gared Fikreselam 
Published: January 2023

Abstract
Transportation system is the backbone of developing country. Intelligent transportation is need of today to provide better conditions to the public. Automatic licence plate system is one of the important elements of intelligent transportation system. In this paper, a novel technique for Indian license plate recognition based on deep learning and random forest is proposed. It has been evident that features are extracted from region with different input characters segmented in images of license plate so that their analysis has been carried out. Certain Features has been parametric and subjected to various characterization of license plate therefore heuristic and non-heuristic approaches are being implemented; however in this paper; deep learning random forest technique has been categorized and implemented for recognition of plate with their feature extraction mechanism. Comparative Analysis has been performed with existing techniques and results obtained from analysis that rate at which recognition of characters on basis of different features are high and more dominant relative to deep learning techniques. The proposed method performs better in evaluation of parameters subjected to automated system considering neural network with convoluted approach.
Thermal and mechanical properties of biocomposites in polylactic acid and food flour waste
Authors: Papa Ilaria , Lopresto Valentina , Langella Antonio , Russo Pietro 
Published: January 2023

Abstract
The growing demand for food products linked to the continuous increase of the world population is unfortunately also responsible for the accumulation of huge amounts of waste often destined for incineration or disposal in landfills, representing an intolerable threat to our society in terms of environmental impact and health risks. This work aims to enhance the reuse potential of waste deriving from the process of food flours in new composite formulations based on polylactic acid and theoretically applicable in the food (packaging) and agricultural fields Samples containing up to 5% by weight of food flour waste supplied by a local pasta factory were prepared by melt compounding and analyzed both in terms of thermal and mechanical properties but also from the morphological point of view. The experimental work showed that the inclusion of food waste powders modifies the crystalline structure of the matrix making it more rigid but less tenacious with non-monotonous effects on the range of compositions explored and results are supported by morphological analysis. Among other things, the absence of interfacial adhesion affects the filler dispersion, with a consequent inversion of the trend of the mechanical parameters in tensile and bending, especially for the formulation filled with 5 wt% of food flour wastes. Further experiments are in progress to improve the polymeric formulations identified and contribute to the advancement of current knowledge regarding food waste management.
Application of a Novel Miniaturized Histopathologic Microscope for Identifying Cerebral Glioma Margins Rapidly During Surgery
Authors: Wu Weichi , Xie Baoshu , Zhang Xiaowei , Zheng Chen , Sun Huixin , Hu Tiefeng , Liu Xinman , He Kejun , Zhang Nu 
Published: January 2023

Abstract
Rapidly and accurately identifying glioma margins during neurosurgery has significance in reducing the recurrence rate and improving perioperative safety. The purpose of our study is to assess the clinical performance of the DiveScope, a novel handheld histopathologic microscope in rapidly differentiating glioma from normal brain tissue during neurosurgery. Prior to the application of the DiveScope to neurosurgery, we first dissected 3 experimental pigs' brains and observed them under the DiveScope in vivo. Subsequently, 32 ex-vivo specimens from 18 patients were included in the present study. The excised suspicious tissue was sequentially stained with sodium fluorescein and methylene blue and scanned with DiveScope during surgery. The adjacent tissue was sent to the department of pathology for frozen section examination. They would eventually be sent to the pathology department later for hematoxylin and eosin (HE) staining for final confirmation. The positive likelihood ratio (PLR), negative likelihood ratio (NLR), sensitivity, specificity, and area under the curve (AUC) of the device were calculated. In addition, we compared the difference in time consumption between DiveScope and frozen sections for the initial judgment. We also provided a typical case to elucidate the clinical application of the DiveScope in neurosurgery. When HE-stained sections were used as the gold standard, the sensitivity and the specificity of the DiveScope was 88.29% (95% CI: 70.8% − 97.6%) and 100% (95% CI: 39.8% − 100.0%), respectively. In contrast, the sensitivity and specificity of the frozen sections were 100% (95% CI: 87.7% − 100%) and 75% (95% CI: 19.4% − 99.4%), respectively. The AUC of the DiveScope and the frozen sections were 0.946 and 0.875 respectively, with no statistical difference(P = 0.578). Concerning time consumption, in tumorous samples with ≥ 0.8 cm in diameter, the Divescope cost 10.7 minutes on average while frozen pathology cost 41.9 minutes (p < 0.0001). For tumor samples < 0.8 cm in diameter, DiveScope cost an average of 10.7 minutes while the frozen pathology cost 50.1 minutes (p < 0.01). Compared with traditional pathologic examination of frozen sections, DiveScope was faster and displayed an equal accuracy for judging tumor margins intraoperatively.
Simulation of sliding process of Longmenshan faults zone with a span of 600k years
Authors: Shi Haoyu , Yang Changyi , Huang Fuqiong , Wang Yongjian , Xin Chubing 
Published: January 2023

Abstract
The relative motion between plates leads to the formation and sliding of faults. Based on the velocity of plate movement and the geometric and physical properties of the 3 faults in Longmenshan, this paper simulates the sliding process of 3 faults in the Longmenshan fault zone for 600k years, and obtains 3 characteristics of the fault sliding in the Longmenshan fault zone: the first was the time segmentation feature, before 330k years of the plate movement, the three faults were locked; F3 fault was the fast slip stage between 330k and 370k years, with an average annual dislocation of 11mm; F3 fault was the stepped slip stage between 370k and 500k years; After 500k years, F1 and F2 fault begin to slip , which the slip vertical distance of F2 was 440m between 500k and 510k years, while began to slip at a steady rate of 3.3mm/yr after 500k years. The second was that F3 has stepped slip characteristics in a specific period, and the stepped slip has obvious periodicity, with a cycle of about 10k years, every step slip was completed in a very short time, and the vertical distance of the stepped slip was between 0.7-18.0m, with an average of 7.53m, which was similar to the current Longmenshan slip characteristics. The third was that the fault slip has the characteristics of "from deep to shallow, from local to whole" , the maximum slip of the three faults occurred in the middle and lower part, that is, the depth was between 10-30km, and the overall slip of the faults was gradually realized in the later stage.
Rain water harvesting, agroforestry and goat based intensification for livelihood resilience in drought prone rainfed smallholder farming system – a case for semi-arid tropics
Authors: Palsaniya D. R. , Kumar Sunil , Das M. M. , Rai S. K. , Kumar T. Kiran , Chaudhary Manoj , Chand Khem , Ahmed Akram , Sahay C. S. , Kumar Prashant 
Published: January 2023

Abstract

Rainfed areas are the home of millions of resource poor farmers whose livelihood is under continuous threat due to frequent droughts. Assuring double cropping and imparting livelihood resilience to rainfed small holders is a challenge. A study was planned in this direction during 2013–2021 for livelihood resilience and sustainable intensification of rainfed small holder farming systems through rain water harvesting and agroforestry based interventions. The one hectare rainfed farming system model comprising of rain water harvesting farm pond (25 m x 20 m x 2.5 m), less water requiring food crops (groundnut–barley and sorghum–chickpea), agrihorticulture [Ziziphus mauritiana+(Sesamum indicum–Cicer arietinum)], silvipasture (Leucaena leucocephala + Tri-species hybrid grass + Stylosanthes hamata) and boundary plantation (Leucaena leucocephalaandOpuntia ficus-indica) was evaluated at on-station as well as promoted on-farm. The goat rearing potential of the above model was also estimated under intensive and semi-intensive systems. The on-station rainfed farming system module produced 4979 kg ha− 1barley equivalent yield consisting of multiple products like barley, chickpea, groundnut, Indian jujube fruits, sesame, fodder (sorghum, TSH,Stylosanthes, Leucaenadried leaf meal and spine-less fodder cactus cladodes) andGrewiafruits and resulted in 709 US$ year− 1net returns with a benefit cost ratio of 2.1. The carrying capacity of the above model was found to be 9 and 35 goat year− 1under intensive and semi-intensive rearing systems, respectively. The net returns increased by 26 and 89% with the inclusion of goat under intensive (US$ 892) and semi-intensive rearing system (US$ 1340), respectively in the rainfed farming system model. It was evident from the study that inclusion of goat, agroforestry and farm pond for rain water harvesting in the rainfed farming have resulted in higher profitability and resilience to less rainfall and its aberrations. Contrarily, the on-farm observations revealed that farmers could not take winter season crops without rain water harvesting. The rain water harvesting proved to be the key for reducing chances of crop failures due to droughts, ensuring double cropping (cropping intensity up to 200%) and sustainable intensification in rainfed areas. It can be concluded from the present study that intervention of water harvesting, agroforestry and goat in rainfed farming systems could enhance the farm productivity and profitability and impart resilience to the livelihood of rainfed farmers in semi-arid tropics.
Safety Management Systems implementation in commercial air transport industry: The United Kingdom Case Study
Authors: Apostu Emilia , Turkoglu Cengiz 
Published: January 2023

Abstract
This paper presents a picture of the Safety Management Systems (SMS) implementation within the United Kingdom Commercial Air Transport (UK CAT) domain, a few years after the EU regulations on SMS have been implemented within the country. Safety experts from the largest UK air operators were interviewed using the Delphi technique and the results were analysed with the Thematic Analysis, highlighting that the safety assurance pillar of the SMS is the most challenging one to be developed.
Moreover, the SMS implementation effectiveness is assessed in the moment of transitioning to a Performance based Environment within the UK, thus the collaboration between the operators and the regulator is examined because it is critically important for the identification of key risks in the systems. It is concluded that the industry is expecting additional support from the regulator for developing their SMSs above compliance requirements.
Economic complexity, shadow economy, and income inequality: fresh evidence from panel data
Authors: Pham Manh Hung , Truong Hoang Diep Huong , Hoang Dung Phuong 
Published: January 2023

Abstract

This research attempts to examine the effects of economic complexity and shadow economy on income inequality for a panel dataset of 99 countries. The two-step system GMM estimation is employed to capture the non-linear relationships among interested variables. The findings indicate that income disparity is significantly and non-linearly linked with economic complexity and grey economy. First, there exists a U-shaped relationship between economic complexity and income disparity. The turning point for which the effect of economic complexity on income inequality changes from negative to positive is -0.732. Second, the impact of shadow economy on income inequality displays an inverted U-shaped pattern. The estimated threshold above which the marginal effect of shadow economy on income inequality changes from positive to negative equals 15.6%. Given the complication of these relationships, the governments are advised to take into consideration the situation of these two socio-economic issues when developing income distribution-related policies.
Jel Classification code: O10, O17, O15, O50.
EREG, HOPX and SYNGR3 influence the Pathogenesis and Prognosis of Cervical Cancer through immune cells infiltration
Authors: Zhang Pei , Wang Yan , Ren Li 
Published: January 2023

Abstract
Background
As a competitive endogenous RNA (ceRNA), circular RNA (circRNA) plays a significant role in the pathogenesis and progression of cervical cancer. A circRNA-associated ceRNA regulation network was built in this study, providing a new biological target for the treatment and prognosis of cervical cancer.
Methods
The expression profiles (GSE102686, GSE86100, and GSE7803) of circRNAs, miRNAs, and mRNAs were downloaded from the GEO database, and differentially expressed (DE) RNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs) were acquired. The circRNA-miRNA and miRNA-mRNA regulatory links were retrieved from the CSCD and TargetScan databases, respectively. Then, a regulatory network for circRNA-associated ceRNA has been developed. On the basis of the ceRNA network, GO analysis, KEGG analysis, survival analysis, and sub-network creation were done. We verified the hub gene affecting prognosis through qRT-PCR. Finally, we analyzed the relationship between the four hub genes and immune cell infiltration in cervical cancer patients by the single sample gene set enrichment analysis method.
Results
A total of 13 DEcircRNAs, 330 DEmiRNAs, and 74 DEmRNAs were found, as well as 6 circRNA-miRNA pairings and 42 miRNA-mRNA pairings predicted. The ceRNA regulatory network (circRNA-miRNA-mRNA) was constructed, which included 3 circRNA, 4 miRNA, and 27 mRNA. The prognostic sub-network consists of 3 circRNAs (hsa_circ_0027821, hsa_circ_0046290, hsa_circ_0000745), 4 miRNAs (hsa-miR-766-3p, hsa-miR-96-5p, hsa-miR-362-5p, hsa-miR-1227-5p) and 4 mRNAs (CDA, EREG, HOPX and SYNGR3) that are associated with survival and prognosis of cervical cancer. Immune infiltration analysis shown that neutrophils were positively correlated with EREG gene and HOPX gene, but negatively correlated with SYNGR3 gene.
Conclusions
In this research, we established a circRNA-associated ceRNA regulation network for cervical cancer and discovered that hub genes (EREG, HOPX, and SYNGR3) influence the pathogenesis and clinical prognosis of cervical cancer by immune cells infiltration.
Development and Validation of Web Calculators to Predict Early Recurrence and Long-Term Survival in Patients with Duodenal Papilla Carcinoma after Pancreaticoduodenectomy
Authors: Yu Guangsheng , He Zile , Xu Shuai , Kong Junjie , He Jingyi , Liu Jun 
Published: January 2023

Abstract
Background: Duodenal papilla carcinoma(DPC) is prone to relapse even after radical pancreaticoduodenectomy (PD) (including robotic, laparoscopic and open approach).This study aimed to develop web calculators to predict early recurrence(ER) (within two years after surgery) and long-term survival in patients with DPC after PD.
Methods: Patients with DPC after radical PD were included. Univariate and multivariate logistic regression analyses were used to identify independent risk factors.Two web calculators were developed based on independent risk factors in the training cohort and then tested in the validation cohort.
Results: Of the 251 patients who met the inclusion criteria, 180 and 71 patients were enrolled in the training and validation cohorts, respectively. Multivariate logistic regression analysis revealed that tumor size [Odds Ratio (OR) 1.386; 95% confidence interval (CI) 1070-1.797; P= 0.014]; number of lymph node metastasis (OR 2.535; 95% CI 1.114-5.769; P= 0.027), perineural invasion (OR 3.078; 95% CI 1.147-8.257; P = 0.026), and tumor differentiation (OR 3.552; 95% CI 1.132-11.152; P = 0.030) were independent risk factors for ER. Nomogram based on the above four factors achieved good C-statistics of 0.759 and 0.729 in predicting ER in the training and the validation cohorts, respectively. Time-dependent ROC analysis (timeROC) and decision curve analysis (DCA) revealed that the nomogram provided superior diagnostic capacity and net benefit compared with single variable.
Conclusions:This study developed and validated two web calculators that can predict ER and long-term survival in patients with DPC with high degree of stability and accuracy.
Metabolomic profile in mammary gland tissue in Holstein cattle in the productive stage in Colombia
Authors: Garcia Cristobal Ricardo De Leon 
Published: January 2023

Abstract
Background:Metabolites are small molecules of low molecular weight, generally less than 650 Daltons, derived from metabolic interactions involving hormones, enzymes, and gene expression. Each tissue, due to its unique metabolic characteristics, produces its own metabolites.
Objective: To identify and quantify metabolites expressed during milk synthesis from biopsies of the mammary gland in Holstein cattle producing milk in two productive phases, at the beginning and mid-late period of lactation in Colombia.
Methods:The identification and quantification of metabolites were carried out using the mass spectrometry methodology. The mass spectrometry analysis resulted in 103 metabolites, of these, after the statistical analysis in the comparisons between the metabolite concentrations using the differential calculation of logFoldchange, p-Values and correction by the false discovery rate method FDR to each metabolite with Bioconductor's limma program in R.
Results:There were 9 most significant metabolites with higher concentrations in the mammary glandular tissue in two different phases of production in animals under study. These were four amino acids proline, valine, leucineand methionine, one carbohydrate galactose, one pyrimidine base uracil,the nitrogenous, one diamines putrescine, an amide derived from lactic acid Lactamide and finally the long chain fatty acid long palmitoglycerol.
Conclusion:This study allows to clarify the metabolomic structure in Holstein cattle mammary gland in two different phases of production as a molecular tool to determine the efficiency of mammary glandular tissue in interactions at the cellular level as technical support for the selective and management process.
Evaluation of Haematological Parameters in Dengue Cases and controls: A retrospective Study
Authors: Bhardwaj Yashika , Kumar Umesh , MISHRA MAHENDRA N 
Published: January 2023

Abstract
Background
Dengue is a viral infection transmitted to humans through the bite of an infected mosquito. Various clinical and laboratory parameters are used to predict the severity of this disease.
Objective
This study was aimed at comparing and analysing eight haematological parameters, including haemoglobin, haematocrit, platelet count, three platelet indices [mean platelet volume (MPV), plateletcrit (PCT), platelet distribution width (PDW)], total leucocyte and erythrocyte count, in the case of dengue seropositive, dengue seronegative but clinically suspected dengue and healthy controls.
Methods
We retrospectively analysed patient records from the Central Laboratory of Subharti Hospital, Meerut (UP). In this laboratory based-study, between October 2021 and January 2022, 300 subjects were examined including 200 hospitalised patients with probable dengue fever and 100 healthy subjects.
Result
The data was evaluated from 200 patients and 100 healthy controls (age between 6–70 years, mean 31 years). Quantitative analysis of patients and controls laboratory data revealed a significant difference in haemoglobin, packed cell volume (PCV), platelet count, and PDW (platelet distribution width) with p-values < 0.05. Qualitative analysis of all-haematological parameters, was also statistically verified and had p value < 0.001.
Conclusion
In addition to platelet count, haemoglobin, PCV, and PDW are useful parameters to assess severity and recovery after dengue diagnosis.
Good BECCS and How It Can Be Used
Authors: Miller Gary P. 
Published: January 2023

Abstract
Bioenergy with carbon capture and storage (BECCS) is currently considered a poor choice in climate change mitigation. This is the result of a BECCS application that proposes the use of very large amounts of biomass to offset fossil fuel extraction. A better way to utilize BECCS is proposed. Agricultural waste in the form of crop residues and waste from industrial food production is shown to be a viable feed material for generating renewable energy. This incentivizes food production while also capturing and removing CO2 from the atmosphere. Methods for incorporating agricultural waste into a renewable future are described. It’s proposed that agricultural waste should first be used to produce transportation fuels. After transportation has been moved to renewable electricity and other low carbon energy sources, BECCS can switch to electricity generation in support of wind and solar. A process for using BECCS to remove natural gas from ammonia production is also presented.