bluuebunny/crossref_metadata_2025_split huggingface dataset:
The crucial prognostic signaling pathways of pancreatic ductal adenocarcinoma were identified by single-cell and bulk RNA sequencing data
Authors: wenwen Wang , Chen Guo , Zhang Wenli , Zhang Xihua , Huang Manli , Li Chen , Wang Ling , Lu Zifan , Xia Jielai 
Published: July 2023

Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with poor prognosis and high mortality. Although a large number of studies have explored its potential prognostic markers using traditional RNA sequencing (RNA-Seq) data, they have not achieved good prediction effect. In order to explore the possible prognostic signaling pathways leading to the difference in prognosis, we identified differentially expressed genes from one scRNA-seq cohort and four GEO cohorts, respectively. Then Cox and Lasso regression analysis showed that 12 genes were independent prognostic factors for PDAC. AUC and calibration curve analysis showed that the prognostic model had good discrimination and calibration. Compared with the low-risk group, the high-risk group had a higher proportion of gene mutations than the low-risk group. Immune infiltration analysis revealed differences in macrophages and monocytes between the two groups. Prognosis related genes were mainly distributed in fibroblasts, macrophages and type 2 ducts. The results of cell communication analysis showed that there was a strong communication between cancer-associated fibroblasts (CAF) and type 2 ductal cells, and collagen formation was the main interaction pathway.
Influence of Academic Stress on College Students' Learning Motivation: Mediating Role of Environment Satisfaction and Moderating Role of Learning Adaptability
Authors: Liu Chen , Tang Jiayi , Jiang Zhou , Zhan Xingya , Shen Junjie , Wang Mengying , Shen Chao , Liu Xin 
Published: July 2023

Abstract
Background
With the university students' increasing academic stress, how to transform the academic stress into the learning motivation has gained more and more attention. The relationships between academic stress, learning motivation, academic environment satisfaction, and learning adaptability were examined in a group of undergraduate students in Jiangsu Province, China.
Methods
The survey was completed by 1666 students, with 1607 students whose questionnaire was complete and valid.
Results
College students' learning motivation was positively correlated with their academic stress (r = 0.218, P < 0.01), academic environment satisfaction (r = 0.028, P < 0.01), and learning adaptability (r = 0.108, P < 0.01).
Conclusions
Academic environment satisfaction mediated the relationship between academic stress and learning motivation. Learning adaptability moderated the first half of the path of "academic stress → academic environment satisfaction → learning motivation". In particular, academic stress was a stronger predictor of academic environment satisfaction in the low level of learning adaptability. Thus, in order to enhance learning motivation, we can achieve students' satisfaction by changing the academic environment. In addition, adjusting learning adaptability is also an important way to improve learning motivation through academic environment satisfaction.
Deficiency of Interleukin-1 Receptor Antagonist Due to Novel IL1RN Pathogenic Variants: A 40 Year-Long Journey Until Its Diagnosis
Authors: Urbaneja Elena , Bonet Nuria , Solis-Moruno Manuel , Mensa-Vilaro Anna , de Landazuri Iñaki Ortiz , Tormo Marc , Lara Rocio , Plaza Susana , Fabregat Virginia , Yagüe Jordi , Casals Ferran , Arostegui Juan I. 
Published: July 2023

Abstract
Undiagnosed monogenic diseases represent a challenging group of human conditions highly suspicious to have a genetic origin, but with not conclusive evidences about it. We identified two brothers born prematurely from a non-consanguineous healthy couple, with a neonatal-onset, chronic disease characterized by severe skin and bone inflammatory manifestations, and a fatal outcome in infancy. We conducted DNA and mRNA analyses in patients’ healthy relatives to identify the genetic basis of the patients’ disease and to characterize the detected gene variants. DNA analyses were performed by both Sanger and whole genome sequencing, and detected two novel heterozygous IL1RN variants: the intronic c.318 + 2T > G variant in the patients’ father, and a ≈2600bp intragenic deletion in the patients’ mother. IL1RN mRNA production was markedly decreased in both progenitors when compared with healthy subjects. mRNA sequencing identified two novel, truncated IL1RN mRNA transcripts. Additional experiments displayed a perfect intrafamilial phenotype-genotype segregation following an autosomal recessive inheritance pattern. The experimental evidences here shown supported for the presence of two novel loss-of-function (LoF) IL1RN variants in the analyzed family. Biallelic LoF variants at IL1RN gene cause the deficiency of interleukin-1 receptor antagonist (DIRA), a ultra-rare autoinflammatory disease with enormous clinical and analytical similarities with the patients here described. All these evidences strongly suggest that patients suffered from a lethal form of DIRA due to a compound heterozygous IL1RN genotype. However, the main limitation of this study is the non-availability of the patients’ samples, which prevented us from establishing unequivocally their definitive diagnosis.
Coexistence of allergic diseases in pediatric systemic lupus erythematosus patients: prevalence, clinical manifestation, severity and its association with disease activity
Authors: Suebsarakam Porntipa , kaweeyanont Kitiporn , Srisutthika Sureeporn , Mairiang Dara 
Published: July 2023

Abstract
Background
The prevalence of both allergic and autoimmune diseases is increasing, suggesting a potential association between these two disorders. Systemic lupus erythematosus (SLE) is a prototypical systemic autoimmune disease associated with multisystem organ involvement. This study aimed to investigate the prevalence, clinical manifestations and severity of allergic diseases in pediatric SLE patients and describe the association between severity of allergic diseases and SLE disease activity.
Methods
Pediatric SLE patients aged ≤ 18 years attending Khon Kaen University hospital, Thailand were enrolled during 2020–2022. Allergic diseases were screened using the International Study of Asthma and Allergies in Childhood questionnaire. SLE patients with a positive allergic disease screen were evaluated by a pediatric allergist for diagnostic confirmation using clinical criteria/testing. Correlation between SLE disease activity and the severity of allergic diseases was investigated using Spearman rank-order correlation coefficient.
Results
Out of 118 patients (median age 13.83 [11.71–15.90], 91.52% female),16 patients (13.56%) were confirmed to have one or more allergic diseases; fourteen with allergic rhinitis, four with asthma, and two with atopic dermatitis. Our study newly confirmed four patients with allergic rhinitis, one patient with atopic dermatitis and one patient with asthma. Two patients had severe-persistent allergic rhinitis and one newly diagnosed patient had uncontrolled severe asthma. No statistically significant correlations between the severity of allergic diseases and SLE disease activity were identified
Conclusions
The overall prevalence of allergic disease among pediatric SLE patients is 13.56% and is not less frequent than in the general population. Severe allergic diseases and SLE can coexist and allergies may be undiagnosed. Therefore, pediatric SLE patients should be assessed for coexisting allergic diseases. No correlations between the severity of allergic diseases and SLE disease activity were found.
Deep Convolutional Neural Network System Based Classification of Digital Mammograms
Authors: P.Indra  , R.Yoganapriya Miss 
Published: July 2023

Abstract
Breast cancer is very common and considered as the second dangerous disease all over the world due to its mortality rate. So, if the detection is early enough, it can reduce the death rate. Image processing techniques are applied to accurately segment the Region of Interest (ROI) prior to abnormality detection in digital mammograms. The digital mammograms can majorly classify into two types, normal and abnormal. Abnormal cases are taken for further process. In this paper, some of the Non-linear techniques are applied to the mammogram images for the removal of noise at pre-processing. Noise removal is done by using lee filter, frost filter, median filter and improved statistical based bilateral filter. The best filter is selected by measures of MSE, PSNR and SSIM. Watershed, K-means clustering algorithms has been applied to the filtered image to get the accurate result prior to segmentation. For feature extraction, features from mammogram are calculated by using GLCM and Tetrolet Transform. Deep Convolutional Neural Network (DCNN) is used for classification of the images. Mammogram from MIAS and DDSM database is taken for simulation.
Genome-Wide identification of WRKY Transcription Factors in Pea (Pisum sativum L.) and their Response to multiple Abiotic Stresses
Authors: Kumar Pankaj , Alok Anshu , Kaur Karambir , Gawlowska Magdalena , Tiwari Siddharth , Swiecicki Wojciech K. , Awasthi Praveen 
Published: July 2023

Abstract

The WRKY gene family is widely distributed in plants and plays essential roles in plant development and stress response. Despite extensive characterization of WRKY transcription factors in many plants, a genome-wide analysis of the WRKY gene family in Pisum sativum is still lacking. The central method of this study focused on the retrieval and characterization of WRKY gene sequences in the pea genome and further looking up for their modulation in response to sulphur and water stress. This involved a combination of bioinformatics tools and gene expression study to identify, characterize, and understand the properties of the WRKY gene family in pea. In this study, 86 PsWRKY genes were identified in the pea genome, categorized into five phylogenetic groups. They were dispersed across all seven chromosomes, with Chromosome 5 showing the highest enrichment. Synteny analysis revealed orthologs of 69 PsWRKY genes in Arabidopsis and Medicago. Transcriptome analysis identified 36 differentially expressed PsWRKY genes in response to sulfur (S) stress, water (W) stress, and their combination (W + S). Real time PCR validation confirmed significant upregulation of PsWRKY23, PsWRKY58, PsWRKY64, and PsWRKY83 under water stress, PsWRKY58 and PsWRKY84 under sulfur stress, and PsWRKY03 under combined (W + S) stress. Overall, this study provides important insights on genetic information of the WRKY gene family in Pea and its possible role in water and Sulphur stress, which will help further to study these candidate WRKY gene with a future objective of understanding their role in abiotic stress.
Numerical solution of linear stochastic Itô-Volterra integral equation using stochastic Bernstein polynomial operational matrices
Authors: Sharafi Fatemeh , Basirat Behrooz , shahriari Mohammad reza Balooch 
Published: July 2023

Abstract
This article has tried to evaluate a computational and practical numerical approach that is on the basis of Bernstein Polynomials for solving linear stochastic Itô-Volterra integral equations. We solve the linear stochastic problem by using the stochastic operational matrix of Bernstein polynomials. First, Bernstein polynomials and their properties are used for deriving a general process in order to make the Bernstein polynomials stochastic operational matrix. Second, using the stochastic operational matrix, the stochastic Itô-Volterra integral equations are solved. Third, the present paper investigates the error analysis of the convergence of the suggested approach. Finally, the accuracy and efficiency of the suggested approach using a numerical example is investigated.
Combination of alpha-lipoic acid and mitoquinone improves myocardial function in an experimental model of myocardial infarction in aged rats
Authors: Nemati Samira , Badalzadeh Reza , Zavvari-Oskuye Zohreh , Mokhtari Behnaz , Bafadam Soleyman , Vakili Abedin 
Published: July 2023

Abstract
This study aimed to investigate whether a combination of two potent antioxidants, alpha-lipoic acid (ALA) and mitoquinone (Mito Q), could improve myocardial function and the underlying mechanisms in an experimental model of myocardial infarction in aged rats. To develop a myocardial infarction model in aged rats the left anterior descending artery (LADA) was transiently occluded for 30 minutes and then re-perfused for 24 hours. Mito Q (10 mg/kg, IP) and ALA (100 mg/kg, gavage) was given daily for 2 weeks before occlusion of LADA. Subsequently, 24 hours after ischemia, left ventricular function was measured, and inflammatory factors (IL-6, IL-1β, TNF-α), tissue apoptosis, expression of Bax, Bcl-2, cytochrome C (Cyt-c), and caspase-3 were evaluated using ELISA, TUNEL, real-time PCR methods, respectively. The findings of this study indicated that the administration of the combination of ALA and Mito Q significantly improved cardiac function. This improvement was linked to a reduction in the expression of pro-inflammatory cytokines TNF-α, IL-6, and IL-1β (P < 0.001) and apoptotic markers (Bax, caspase-3, and Cyt-c), as well as a decrease in the percentage of TUNEL-positive cells (P < 0.001). The combined administration of ALA and Mito Q was found to synergistically reduce cardiac dysfunction in aged rats with myocardial infarction by inhibiting both the inflammatory and apoptotic pathways. This compound may offer a promising solution for elderly individuals who are at risk of heart attack, however, further research is needed to validate its potential
Dietary Supplementation of Organic Zn Improves Digestive Enzyme Activities, Antioxidant Response, and Growth Performance of Nile Tilapia Oreochromis sp
Authors: Inarto Hendri , Ekasari Julie , Jusadi Dedi , Nasrullah Hasan , Suprayudi Muhammad Agus 
Published: July 2023

Abstract
This research aimed to evaluate the effects of dietary organic zinc (Zn) supplementation at different levels on various physiological parameters in Nile tilapia (Oreochromis sp.). Triplicate groups of nile tilapia (8.3 ± 0.02 g) were fed diets supplemented with different levels of organic Zn (0, 20, 40, 80 and 160 mg kg-1) for 60 days. The study focused on assessing digestive enzyme activities (lipase, amylase, chymotrypsin, and trypsin), intestinal morphometry (villus width, villus height, and absorption surface area), antioxidant response (superoxide dismutase and malondialdehyde), health status (lysozyme activity and respiratory burst), growth performance, and organ zinc content. The results revealed significant outcomes. Digestive enzyme activities increased up to 40 mg kg-1 of dietary Zn, but declined at higher levels. Fish fed Zn-supplemented diets at 20-80 mg kg-1 exhibited enhanced absorption surface area, while the control group (0 mg kg-1) and the highest dose (160 mg kg-1) showed reduced absorption surface area. After an air exposure challenge, the antioxidant response showed significantly higher superoxide dismutase (SOD) activity at Zn levels of 20 and 40 mg kg-1, with the lowest malondialdehyde (MDA) levels observed at 40 mg kg-1. Furthermore, fish fed diets with 40 mg kg-1 Zn demonstrated significantly higher lysozyme activity, while respiratory burst was elevated in tilapia receiving Zn doses of 20 and 40 mg kg-1. Growth performance parameters improved significantly up to 40 mg kg-1 of dietary Zn, beyond which they declined. The Zn requirement was estimated to be 38.4 mg kg-1 based on the specific growth rate using broken-line regression analysis. Tilapia fed diets containing Zn levels ranging from 20 to 80 mg kg-1 showed notable improvements in protein retention, final biomass, and feed intake. The survival rate remained unaffected by the experimental diets. Zinc content in the liver, muscle, and intestine did not exhibit significant changes with varying dietary Zn levels. These findings provide valuable insights into the effects of dietary organic Zn supplementation on Nile tilapia, contributing to the development of optimized nutritional strategies for enhancing growth performance and overall health in aquaculture production systems.
Starch/Pectin as Emerging Renewable Materials for Fabrication of Sustainable Bioplastics for Food Packaging Applications
Authors: Arooj Aqsa , Khan Musammir 
Published: July 2023

Abstract
Currently, due to serious environmental concerns of using non-biodegradable fossil fuel based plastics for food packaging application, the renewable bioplastic obtained from second generation biobased materials (biopolymers & plasticizers) could be an attractive alternative, but fulfilling the consumers demand is a challenging task. Here in this work, starch/pectin as matrix and chitosan co-biopolymers together with tartaric acid (TA)/citric acid (CA) as natural plasticizers were used to fabricate their bioplastics by condensation polymerization accompanied by intermolecular hydrogen bonding interactions. The FTIR analysis confirmed the successful formation of amide/ester bonds and non-covalent hydrogen bonding interactions, while the broad XRD bands indicated the amorphous nature of all the obtained bioplastics. Their swelling ratio ranged between (510–620 ± 50%) and the mass loss (44–76 ± 5%), which was susceptible to acid facilitated hydrolysis for 24 h incubation in water. The obtained tensile modulus was in the range (0.5 ± 0.1 to 7.5 ± 0.5 MPa), which was highest for starch/TA film (7.5 ± 0.5 MPa), attributed to the more plasticization effect in the CA based films. All the samples showed complete degradation (97 ± 2.5%), after 3 days dipping in soil and were ecofriendly by ecotoxicity assay. Therefore, these pure biobased bioplastics could be useful materials for the future food packing industry.
Bone Marrow Tumor Microenvironment of Obese Hodgkin Lymphoma Patients: implications of insulin axis
Authors: Matos Andreia , Marinho-Dias Joana , Ramalheira Sofia , Roncon Susana , Pereira Dulcineia , Rodrigues Carla , Mariz Mário , Miranda Ana , Brízido Helena , Bicho Manuel , Hu Pingzhao , Pereira Flávia , Cruz Tânia , Cawthorn William , Ramsay Alan G , Oliveira Maria J. , Ribeiro Ricardo 
Published: July 2023

Abstract
Background
Excessive adiposity, or obesity, has been associated with cancer promotion, including an increased risk for developing Hodgkin Lymphoma (HL). However, the association between obesity and survival in HL can be somewhat paradoxical and may indeed influence prognosis. Examining the bone marrow (BM) cytokine profile in HL patients could provide insights into the mechanisms underlying the altered association between excess adiposity and HL. The BM is an important site for hematopoiesis and can be influenced by various factors, including disease processes and systemic metabolic changes associated with obesity.
Methods
From our cohort, we analyzed interstitial marrow fluid (IMF) from BM aspirates of 16 HL patients at diagnosis and 11 control subjects. Participants were then matched by sex, age, and Body mass index (BMI) for inclusion in our discovery protein array analysis (n = 8 HL and n = 8 donors). We validated our findings in the total sample by measuring adipokine-related molecules using ELISA. Adiposity was measured through abdominal circumference measurement and BMI. Gene expression analysis was conducted through RT-qPCR. Activated signaling pathways were analyzed using HL cell line (L428 cells). Statistical analyses were performed using SPSS and GraphPad.
Results
The IMF of HL patients presented downregulation of interleukins (IL-1α/β, IL-6sR, IL-12), chemokines (CCL2, CCL3, CCL16), IGF-axis mediators (IGFBP-1, IGFBP-2, IGFBP-3, IGF-1sR), sTNFRII, TGFβ1, leptin, osteoprotegerin (OPG), and Fas compared to healthy donors and after controlling for adiposity status. Interestingly, HL overweight/obese subjects showed up-regulation of OPG and lymphotactin in IMF. The results were confirmed by quantification of cytokines, where we observed lower levels of insulin growth factor binding protein IGFBP-3 and higher levels of OPG levels in HL patients. The high-molecular weight (HMW) and total of adiponectin levels were high in HL BM. We further demonstrate that LEPR, TGFβ1, and IGFBP3 transcripts were upregulated in fractionated BMAd from HL compared to controls, while IFG2R was upregulated in SC. Finally, we observed a possible modulation of L428 cells through IGFBP-3 in an IGF-1-dependent manner, which could be reflected in the BM TME of HL disease.
Conclusions
Our data supports a role for the insulin axis in the BM microenvironment of obese HL patients, particularly through the regulation of insulin ligand-binding proteins.
Ultimate boundedness of the solution for a stochastic delayed Lotka-Volterra food chain chemostat model
Authors: Liu Chenyu , Zhang Xiaofeng 
Published: July 2023

Abstract
For the solutions of stochastic systems, stochastic ultimate boundedness has always been a very important property. Thus, in this paper, we will investigate a stochas-tic delayed Lotka-Volterra food chain chemostat model. Firstly, we prove the existence and uniqueness of global positive solution for this model. Then we future prove the positive solution is ultimately bounded by constructing Lyapunov functional and utilizing Chebyshev inequality.
Security Performance Analysis during Side-Channel Attack Using Novel Cryptography Algorithm for VM Cloud
Authors: S Gnanavel , Sathianesan Godfrey Winster , K.E Narayana , E Baburaj , N Arunachalam , K Valarmathi 
Published: July 2023

Abstract
Cloud computing is a relatively new technology that allows multiple users to share computational resources and data over the internet. It supports multi-tenant to meet the needs of users to access the resources at the same time, it improves the profitability of the cloud service provider. The Virtual Machine (VM) operates on the same core device that is the focus of any aberrant or malicious attack. These attacks may include data leakage, privacy breaches, and unauthorized access to cloud resources. The outsider attacks may be server spoofing, stolen verifier, password guessing, impersonation, and replay attacks at the cloud’s network layer. The insider attacks may be side-channel attacks to gain access to shared resources. A Self-Adaptive Honey Encryption (SAHE) method for stronger multi-level authentication in a cloud environment the hypervisor layer monitors the running cloud memory, CUP, communication port, and network infrastructure. Introduce the classifier mode to identify the attack and VM risk level (high, medium, and low) to improve the VM performance and attack identification. A rule-based mechanism to detect a side-channel attack by monitoring cache data access. Processes running on the VM can use the cache of another virtual machine, creating a cache conflict in the system. The cache-based attack on the Physical Machine (PM) creates the cache contention to mitigate the attacker’s data. We propose a novel rule-based authentication with the swam optimization method for shifting the resource from an optimized VM into a physical machine. The migration method for optimal PM makes the VM free from cache contention, and it also mitigates the cache side-channel attack in the cloud environment.