bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and Prioritization of Critical Cyber Security Challenges and Practices for Software Vendor Organizations in Software Development: An AHP-Based Systematic Approach
Authors: Khan Abdul Wahid , Zaib Shah , Khan Faheem , Khan Javed , Khan Jawad , Lee Youngmoon 
Published: November 2022

Abstract

Small to medium enterprise (SME) organizations are enormous in number and don't have the controls set up to prevent effective attacks of cybersecurity. The majority of the attacks are conducted when the legitimate information check is not valid and because of the absence of arrangement in applying present-day classifications, for example, 'virus', 'worm', and 'trojan'. The need for cybersecurity showed up in the early years of the digital era when the initial mainframe computer systems were designed. Many software application systems are at risk of attacks if there is a rigorous adherence to leading-edge concepts of encryption and decryption. To deal with all issues, a detailed systematic literature review (SLR) study is conducted to identify the cybersecurity challenges faced by vendor organizations during software development. Through SLR, 13 challenges have been identified, which have a frequency of >=25%. The recognized cybersecurity challenges are “Security issues/Access of Cyberattacks”, “Lack of Right Knowledge”, “Framework”, “Lack of Technical Support”, “Disaster Issues”, “Cost Security issues”, “Lack of Confidentiality and Trust”, “Lack of Management”, “Unauthorized Access issues”, “Lack of Resources”, “Lack of Metrics”, “Administrative Mistakes during Development” and “Lack of Quality, Liability, and Reliability”. All these cybersecurity challenges are classified into awareness, management, security and eminence. An Analytic Hierarchy Process (AHP) approach prioritize and recognize the significance of each identified critical cybersecurity challenge. We also apply this method to practices recognized for these critical cybersecurity challenges.
Isoliquiritigenin, Liquiritigenin Rich Root Extract of Glycyrrhiza glabra Attenuates Inflammation in Macrophages and Collagen-Induced Arthritis in Rats
Authors: babu Vineet , Kapkoti Deepak Singh , Binwal Monika , Bhakuni Rajendra S. , Shanker Karuna , singh Manju , Tandon Sudeep , Mugale Madhav N. , Kumar Narendra , Bawankule Dnyaneshwar Umrao 
Published: November 2022

Abstract
The aim of this study was to evaluate the potential effect of root extract of Glycyrrhiza glabra (IVT-21), isoliquiritigenin (ISL), and liquiritigenin (LTG) present in G. glabra root extract in in-vitro anti-inflammatory activity and we also investigate the effects of IVT-21 in collagen-induced arthritis (CIA) rats. Primary peritoneal macrophage cells were used for check the anti-inflammatory effect of IVT-21. Apart from this Collagen-induced arthritis (CIA) was developed in Wistar rats. Animals were orally treated with IVT-21 at dose rate of 30,100 and 300 mg /kg for 21 days. The chemical signature of IVT-21 using HPLC analysis showed the presence of ISL and LTG as the main active ingredients. Treatment of IVT-21, ISL and LTG were able to reduce the production of pro-inflammatory cytokines (TNF-α, IL-6) in LPS-induced inflammation in primary peritoneal macrophages. In-vivo experimental pharmacology profile of IVT-21 against rheumatoid arthritis revealed that oral administration of IVT-21 significantly reduced the arthritis index, arthritis score, inflammatory mediators level in CIA rat’s serum, and also reduced the NFкB-p65 expression as evidence of immunohistochemistry in knee joint tissue of CIA rats, reduce the inflammatory mediator's gene expression in a dose-dependent manner in paw tissue of CIA rats. Further, in in-vivo safety studies of IVT-21 was found to be safe in experimental animals up to 2,000 mg/kg dose. The result of this study suggests the suitability of IVT-21 as a drug-like candidate for further investigation in the management of inflammation and rheumatoid arthritis.
Integration single-cell and Bulk RNA-sequencing Data to Reveal Senescence Gene Expression Profiles in Heart Failure
Authors: Kuai Zheng , Hu Yu 
Published: November 2022

Abstract
Background
Heart failure(HF) represents one of healthcare's biggest challenges. Although rarely noticed, aging is a crucial risk factor for cardiovascular disease. Our study aims to reveal senescence's role in HF by integrating single cell RNA-sequencing(scRNA-seq) and bulk RNA-sequencing databases.
Methods
We collected HF heart sample data from the Gene Expression Omnibus database and senescence gene data from CellAge. The FindCluster() package was used for cell cluster analysis. Differentially expressed genes (DEG) were identified operating the FindMarkers function. Cell activity score calculation was performed using the AUCell package. UpSetR plotted the intersection between DEGs of active cell types, bulk data DEGs, and genes associated with senescence. Using the DGIdb database gene-drug interaction data, we search for potential targeted therapeutics based on common senescence genes.
Results
The scRNA-seq data revealed myocardial heterogeneity in HF tissues. A series of crucial common senescence genes were found. The senescence gene expression profile hints at an intriguing connection between monocytes and HF. After analyzing the DEGs in the bulk dataset, the DEGs in scRNA-seq, the DEGs in each active cell type, and senescence genes, we identified ten genes as common senescence genes present in HF. Correlation analysis of transcriptomics, proteomics, and ceRNA was performed to individually provide ideas for future studies in the bulk database. Moreover, we discovered that common senescence genes and potential therapeutic drugs interact among different cell types. Further research is needed on the expression pattern of senescence genes and molecular regulation in HF.
Conclusions
In summary, we identified the functional significance of the senescence gene in HF using integrated data. It is possible that this more profound understanding of how senescence contributes to the development of HF will aid in unraveling the mechanisms that promote the disease and provide hints for developing therapeutics.
A risk model constructed from five copper death-related genes for predicting prognosis and immune microenvironment infiltration in ovarian cancer patients
Authors: LI Yan , CHEN Shu-ran , LIU Jian 
Published: November 2022

Abstract
Purpose
Copper-dependent death is a novel mode of cell death. The prognostic value of copper death-associated genes in ovarian cancer needs further elucidation. In this study, a risk model based on copper death-related genes was identified for predicting prognosis and immunotherapy sensitivity in ovarian cancer patients.
Methods
Copper death-related genes were obtained according to literature reports. Transcriptome and prognostic information of ovarian cancer patients were obtained from TCGA database. Based on the expression of 10 copper death-associated genes, ovarian cancer patients from TCGA were typed by consensus clustering algorithm. Multi-gene risk profiles were developed from the TCGA cohort using least absolute shrinkage and selection operator (LASSO) regression analysis, followed by external validation set validation using the GEO database. Immunological correlation of the models was calculated by the CIBERSORTx algorithm and ESTIMATE algorithm, and drug sensitivity analysis was performed for patients with different risk models.
Results
Based on the expression of 10 copper death-related genes, 367 TCGA-OV cases could be better classified into two subtypes. 23 inter-subgroup differential genes screened in TCGA-OV were corrected with GEO data and 15 intersecting genes were extracted. Univariate COX analysis showed a total of 5 inter-subgroup difference genes associated with ovarian cancer survival (P < 0.05), and lasso regression finally screened 5 genes for the construction of risk models. GO and KEGG functional analysis of differential genes between high and low risk groups showed that multiple immune components and immunomodulatory pathways were enriched to. Further analysis of the immune status between the high and low risk groups suggested that the low risk group had more active immune cell infiltration and multiple immune checkpoint enrichment. Drug sensitivity analysis suggested that patients in the risk group had higher sensitivity to multiple chemotherapeutic agents.
Conclusion
Copper death-related genes may be used as a new biomarker for predicting ovarian cancer prognosis, and treatment targeting copper death genes may be a new therapeutic modality to achieve efficient remission in OC.
Analysis of the Dynamic Buckling of a Viscously Damped Spherical Shell Under an Impulse Load
Authors: Ozoigbo G. E. , Chukwuchekwa J. U. , Osuji W. I. , Udo I. U. , Ette A. M. 
Published: November 2022

Abstract
A regular perturbation scheme is here developed for analyzing the dynamic buckling of a lightly damped, imperfect spherical shell struck by an impulse. For simplicity of mathematical analysis, the spherical shell is discretized into time dependent modes and the resultant formulation is that of a two – small parameter problem in which the small parameters serve as agents of asymptotic expansions in a multi-timing perturbation analysis. Unlike most earlier but similar studies, all imperfections and nonlinearities as well as pre-buckling inertia and coupling terms are retained and none is neglected. In the final analysis, the dynamic buckling load is determined and the contributions to buckling of each of the terms are highlighted.
Improved sulfur dioxide resistance of the Mn/Fe-PILC catalyst by the doping of ceria in the selective catalytic reduction of NO with NH3
Authors: Wang Xinpeng , Ye Qing , Liu Wenyi , Meng Fanwei , Yang Fan , Zhang Xin , Dai Hongxing 
Published: November 2022

Abstract
The yCe-xMn/Fe-PILC (x and y are the nominal weight percentages of Mn and Ce, respectively; x = 4.0 wt%, y = 2.0, 4.0, and 6.0 wt%) catalysts were prepared using the impregnation method. Physicochemical properties of the as-prepared materials were measured by means of the XRD, SEM, BET, TPR, XPS, TGA-DSC, and in situ DRIFTS techniques, and their catalytic activities for the selective catalytic reduction of NO with NH3 (NH3-SCR) at low temperatures were evaluated. The 4Ce-4Mn/Fe-PILC sample showed the highest NO conversion of 95% at 350 ℃ and better resistance to SO2 poisoning than the Ce-free 4Mn/Fe-PILC sample. The loading of ceria not only increased the concentrations of the active Mn4+ species and chemisorbed oxygen (Oads) species, but also improved redox ability of the 4Ce-4Mn/Fe-PILC sample. After sulfur dioxide poisoning, the concentrations of the active Mn4+ and Oads species in the ceria-loaded samples were decreased by less extents than those in the ceria-free sample. The in situ DRIFTS results further demonstrated that the doping of ceria increased the amount of the acid sites, enhanced the formation of NH3 intermediates (i.e., monodentate nitrite and bridging nitrate), and protected the main active Mn4+ species. Therefore, the samples containing ceria possessed better resistance to SO2 poisoning.
Direct-to-consumer genetic test and lifestyle questionnaire analysis of body mass index and body fat percentage in a large Korean population
Authors: Kim Hyo-Eun , Park Kyung Mi , Lee Dasom , Lee So-Ra , Kim Sang-Woon , Hwang Tae Soon , Hong Kyung-Won 
Published: November 2022

Abstract

Background
Direct-to-consumer (DTC) genetic testing provides genetic risk to consumers and motivates consumers to take care of their own customized health care. In 2018, we developed and provided a DTC genetic testing service (GENESTART™) in collaboration with Herbalife Korea Co. Ltd.
Methods
The analyzed dataset consisted of the body fat percentage (BFP), body mass index (BMI), 31 genetic polymorphism genotypes, and responses to 19 questionnaire items of 24,447 individuals. The genetic main effects for BFP and BMI were examined by linear regression analysis, and the interaction effects were examined using a generalized linear model that controlled age and sex as covariates. In the case of BFP, the sample average was 31.47% overall, 24.76% for men, and 32.79% for women, showing that men had an average BFP that was 8 percentage points lower than that of women. The average BMI was 25.38 overall, 26.45 for men, and 25.17 for women, showing that men had an average BMI of 1.2 kg/m2 higher than that of women.
Results
The FTO and MC4R genes, well-known obesity markers, showed a significant correlation with both phenotypes, and the BDNF gene, which is related to stress obesity, showed a highly significant association with BMI but only a weak association with BFP. Among the remaining genes, TRIB1, ABCA1, MYL2, G6PC, GCKR, GLIS3, CYP17A1, HECTD4, and NT5C2 genes showed significant associations with the obesity-related phenotypes. In this study, we found four interaction results for BFP (ABO and fruits, CYP1A2 and sugary foods, FTO and muscle exercise, MC4R and vitamins) and five interactions for BMI (MC4R and proteins, CSK and fruits, MC4R and calcium, DGKB and calcium, CSK and water).
Conclusions
This study is expected to enable the provision of personalized and accurate solutions for BFP and BMI management to customers who have undergone genetic testing.
Molecular mapping and transfer of sheath blight resistance QTLs from wild rice Oryza nivara to cultivated rice (Oryza sativa L.)
Authors: Neelam Kumari , Aggarwal Sumit , Kumari Saundriya , Kumar Kishor , Kaur Amandeep , Babbar Ankita , Lore Jagjeet Singh , Kaur Rupinder , Vikal Yogesh , Singh Kuldeep 
Published: November 2022

Abstract
Background
Sheath blight (ShB) is the most serious disease of rice (Oryza sativa L.), caused by a soil-borne fungus Rhizoctonia solani Kühn (R. solani). It limits global rice productivity by causing ~50% yield loss every year. Broad host range, rapid resurgence of new pathogen races, and the lack of highly resistant germplasm are the major caveat to managing this disease. Therefore, continuous scouting of new germplasm resources resistance to R. solani is urgently required.
Results
In this report, we identified a very promising resistance source O. nivara accession IRGC81941A which displays partial resistance across the five years of screening against R. solani. Quantitative trait loci (QTL) mapping was performed in F2 populations that identified a total of 29 QTLs with the total phenotypic variance explained (PVE) ranged from 4.70 to 48.05%. A cluster of four QTL qRLH1.1, qRLH1.2, qRLH1.5, and qRLH1.8 stably detected which showed consistent resistant response against R. solani. The size of these QTL ranging from 0.096-420.1 Kb, based on the rice reference genome harboring several important disease resistant genes such as Ser/Thr protein kinase, auxin-responsive protein, Protease inhibitor/seed storage/LTP family protein, MLO domain-containing protein, disease responsive protein, Thaumatin-like protein, Avr9/Cf9 eliciting protein, and many transcription factors. A simple sequence repeat (SSR) marker RM212 co-segregates with this QTL cluster.
Conclusion
Our finding suggests that a highly stable QTL cluster confers resistance to sheath blight disease. Effective transferring of this cluster as a single unit through backcross breeding marked the identification of three agronomically superior resistant lines. These promising germplasms could be an important pre-breeding material for varietal development. PCR-based SSR marker linked to these QTLs could facilitate efficient transfer of the QTLs into rice cultivars through marker-assisted selection programs.
Potential diagnostic value of circulating miRNAs in HFrEF and bioinformatics analysis
Authors: Kuai Zheng , Gao Wei , Ma Yuanji , Zhang Xiaoxue , Wang Xiaoyan , Ye Yangli , Zhang Xiaoyi , Yuan Jie 
Published: November 2022

Abstract
Few studies have compared the performances of those reported miRNAs as biomarkers for heart failure with reduced EF (HFrEF) in a population at high risk. The purpose of this study is to investigate comprehensively the performance of those miRNAs as biomarkers for HFrEF. By using bioinformatics methods, we also examined these miRNAs' target genes and possible signal transduction pathways. We collected serum samples from patients with HFrEF at Zhongshan Hospital. Receiver operating characteristic (ROC) curves were used to evaluate the accuracy of those miRNAs as biomarkers for HFrEF. miRWALK2.0, Gene Ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were performed to predict the target genes and pathways of selected miRNAs. The study included 48 participants, of whom 30 had HFrEF and 18 had hypertension with normal left ventricular ejection fraction (LVEF). MiR-378, miR-195-5p were significantly decreased meanwhile ten miRNAs were remarkably elevated (miR-21-3p, miR-21-5p, miR-106-5p, miR-23a-3p, miR-208a-3p, miR-1-3p, miR-126-5p, miR-133a-3p, miR-133b, miR-223-3p) in the serum of the HFrEF group. All miRNAs had an area under the curve (AUC) > 0.70, except for miR-21-5p and miR-22a-3p. The combination of miR 133a-3p, miR 106b-5p, miR 1-3p, miR 133b, and miR 378 has a good diagnostic performance for HFrEF and multitudes of possible mechanisms/pathways through which dysregulation of these miRNAs may affect the crapshoot of HFrEF.
Cauchy robust principal component analysis with applications to high-dimensional data sets
Authors: Fayomi Aisha , Pantazis Yannis , Tsagris Michail , Wood Andrew T.A. 
Published: November 2022

Abstract
Principal component analysis (PCA) is a standard dimensionality reduction technique used in various research and applied fields. From an algorithmic point of view, classical PCA can be formulated in terms of operations on a multivariate Gaussian likelihood. As a consequence of the implied Gaussian formulation, the principal components are not robust to outliers. In this paper, we propose a modified formulation, based on the use of a multivariate Cauchy likelihood instead of the Gaussian likelihood, which has the effect of robustifying the principal components. We present an algorithm to compute these robustified principal components. We additionally derive the relevant influence function of the first component and examine its theoretical properties. Simulation experiments on high-dimensional datasets demonstrate that the estimated principal components based on the Cauchy likelihood outperform or are on par with existing robust PCA techniques.
Low-pressure Ethylene/Air Laminar Premixed Flames: Characterisations and Soot Diagnostics
Authors: Algoraini Safa , Sun Zhiwei , Dally Bassam B , Alwahabi Zeyad T. 
Published: November 2022

Abstract
In this work, the structure of laminar premixed ethylene/air flat flames at low pressure are studied experimentally. The aim of the work is to exploit the spatial expansion of laminar 1-D flames and advanced laser techniques to better understand the conditions and precursors affecting soot particles inception. Soot volume fraction (fv) profiles were measured using laser-induced incandescence (LII), while spatial distribution of the CH* and C2* radicals were measured using spatially resolved emission spectroscopy. Spatially resolved laser induced fluorescence have been used to record emission from 2-3 rings 3-4 rings and > 5 rings. The temperature of soot particles (Ts) was evaluated through fitting the spectrally resolved soot luminosity, while flame gaseous temperature (Tg) was measured using a fine thermocouple. The laminar flow velocity was modelled and used to evaluate the reaction time at each HAB. Using the quantity dfv/dt and fv along with the reaction time, it was possible to reveal the soot volume fraction growth rate. At pressure of 27 KPa the growth rate, kSG, was evaluated as 20 s-1. Taking advantage of the expanded flame structure at low pressure, the profiles of CH* , C2* , soot and temperatures, as a function of the height above the burner were well resolved. It was found that CH* and C2* chemiluminescence overlap in space. The thickness of CH* layer is larger than that of C2* , and it peaks at slightly different location, CH* appears approximately 1 mm before C2*. The distance between the two peaks decreases linearly with the increase in pressure. The lowest value of the initial soot volume fraction (fv) was 0.19 ppb, measured at pressure 27KPa. It was found that fv scales with the pressure following a power function of the form 𝑓𝑣 𝛼 𝑃𝑟n where n is 2.15 ± 0.7. It was observed that, in all the flames investigated, the initial soot particles first appear at a common critical inception temperature, Tinception, of 1465 ± 66 K. It was found that the Tinception is lower than the maximum flame temperature, Tmax, by ~45° and appeared ~1mm further than the location of Tmax. Using the Langrangian quantity dfv/dt and fv, it was possible to reveal the soot growth rate, KSG. At pressure of 27 KPa the value of KSG was evaluated as 20 S-1.
Anti-tumor effect of IL-2 and TRAIL expressed by recombinant Salmonella: an immunotherapeutic proposal against bladder cancer by iNOS, Caspases activation and modulation of the immune system
Authors: Fragelli Bruna Dias de Lima , Rodolpho Joice Margareth de Almeida , de Godoy Krissia Franco , Camillo Luciana , de Castro Cynthia Aparecida , Brassolatti Patricia , Borra Ricardo Carneiro , Silva Adilson José da , Alexandrino André Vessoni , Novo-Mansur Maria Teresa Marques , Nogueira Camila Tita , Anibal Fernanda de Freitas 
Published: November 2022

Abstract
IL-2 and TRAIL are therapeutic agents known for their antitumor role, but they can be cleared quickly by the body or be cytotoxic, compromising their function. To reverse this impasse, the synthesis of these agents by live bacteria directly in the tumor is a viable approach, due to bacteria’s preference to colonize tumor tissue. It happens because of the high nutrient grid in this microenvironment and possible escape from the immune system since solid tumors are ischemic and have regions of hypoxia. In this context, attenuated Salmonella represents a promising live vector for delivery of antitumor molecules. The present study investigated the effects of IL-2, TRAIL and mixture of proteins expressed by recombinant Salmonella, strain SL3261, with unique and innovative construction with IL-2 and TRAIL proteins, on bladder cancer cells and in mice od C57BL/6. Human bladder cancer cell line RT4 was exposed for 24 and 48 hours to these proteins and were analyzed with flow cytometry, ELISA, dyes and fluorescent antibodies. In the animal model, tumor induction was performed with MB49 cells, followed by treatment with bacterial strains and collection of tissues and organs for analysis. The results demonstrated that both agents are cytotoxic to the tumor cells, as they cause a decrease in cell viability, modification of its proper morphology and induction of apoptosis. This effect is caused by the activation of the iNOS enzyme by IL-2, which leads to the production of nitric oxide with consequent activation of genes that lead to DNA degradation and by the activation of the Caspase family by TRAIL, causing apoptosis. In mice, there was an important regression of tumor progression and modulation of the immune system. Therefore, IL-2, TRAIL and MIX synthesized by recombinant Salmonella show promising potential in bladder cancer therapy.