bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of disulfidptosis in esophageal squamous cell carcinoma based on single-cell and bulk RNA-seq data to predict prognosis and treatment response
Authors: Zhang Xiaodan , Du Jianting , Lin Xiao , Zhang Shuliang , Zeng Taidui , Chen Maohui , Huang Guanglei , Chen Chun , Zheng Bin
Published: October 2023

Purpose
Our study aims to identify the molecular subtypes of genes associated with disulfidptosis in ESCC, construct a scoring model to explore the differences in tumor growth behavior and find novel potential therapeutic targets.
Methods
Consensus cluster analysis was performed based on the GSE53625 dataset. The prognostic signature was constructed using univariate, multivariate, and Lasso-Cox regression analysis. The TCGA-ESCC dataset and single-cell RNA-seq data from the GSE160269 dataset was combined with trajectory analysis to analyze the prognostic signature. Additionally, the differences in tumor growth patterns, immune microenvironment, and cellular communication were explored, immunotherapy effects were predicted between high- and low-score groups, and potential therapeutic strategies were investigated to provide ideas for follow-up studies.
Results
We identified two distinct patterns of disulfidptosis expression with significant differences in overall survival. Then, we constructed the prognostic signature of disulfidptosis, and results showed patients with high score had worse prognosis. Univariate and multivariate Cox analysis demonstrated that the constructed prognostic signature was an independent prognostic factor and was validated in an independent validation set. The two subgroups differed in the proportion of immune cell infiltration and related signaling pathways in ESCC. The exploration of immunotherapy data confirmed our prognostic signature also had certain predictive power for immunotherapy. Regarding drug prediction, the results suggested the EGFR inhibitor had a stronger inhibitory effect on the low-score group.
Conclusion
This study provides a new prognostic signature for ESCC, explores new therapeutic targets, and provides new theoretical support for personalized treatment.
Unveiling the cholesterol metabolism-Multiple Myeloma Linkage: Insights from Integrative Analysis of GEO and COMPASS-MMRF databases and Mendelian Randomization
Authors: Yang Huiye , Qin Meilian , Zhu Jie , Song Shuangshuang , Shi Meili , Wang Xiaotao
Published: October 2023

Background
Multiple myeloma (MM) is the second most common incurable hematologic malignancy. Increasing evidence implicates cholesterol metabolism in MM progression. This study evaluates the influence of cholesterol-associated apolipoproteins and lipoproteins on MM development and drug resistance using bioinformatics and Mendelian randomization analyses. Additionally, it assesses the prognostic value of hub genes in MM progression.
Methods
Multiple MM datasets and clinical data were sourced from the GEO database and COMPASS-MMRF. Differential analysis was conducted on the GSE136725 and GSE110486 datasets, disclosing 71 genes linked with MM progression. APOE emerged as a central gene via PPI network intersection analysis and was corroborated in GSE179929 and GSE68871. Its engagement in cholesterol metabolism was authenticated through GO and KEGG enrichment analysis. Prognostic models, encompassing APOE and pertinent clinical parameters, were formulated and appraised utilizing KM curves, Cox regression, and Nomograms. Additionally, a Mendelian randomization study probed the causal effects of cholesterol metabolism-associated lipoproteins on MM.
Results
APOE, as a pivotal gene, exhibited a correlation with the cholesterol metabolism pathway in MM patients. It manifested heightened expression in MM patients with disease progression and inadequate remission, revealing a correlation with patient gender. The amalgamated prognostic model, encompassing age, gender, stage, and APOE expression, accurately prognosticated MM patient survival at 1, 3, and 5 years. Moreover, IVW analysis unveiled a substantial association between IDL and MM risk.
Conclusions
To summarize, our investigation pinpoints APOE as a crucial gene in MM progression, notably overexpressed in advancing and recalcitrant cases, potentially serving as a prognostic indicator. Additionally, the co-expression of IDL and APOE sheds new light on an innovative mechanism underpinning MM advancement.
LncRNA PART1 promotes malignant biological behaviors associated with head and neck cancer cells by synergistic action with FUT6
Authors: Yao Yanheng , Shi Jiyuan , Gao Yunran , Xu Xiling , Zhang Yuxin , Bai Suwen , Wu Jing , Du Juan
Published: October 2023

The aim of this study was to determine the role of lncRNA PART1 in migration, proliferation, and apoptosis in head and neck cancer (HNC) cell lines and its relationship with FUT6 in tumorigenesis and progression. Bioinformatics analysis and qRT‒PCR showed that lncRNA PART1 was expressed at low levels in HNC. The results of proliferation, apoptosis, migration and flow cytometry showed that the low expression of lncRNA PART1 inhibited the apoptosis of HN4 cells and promoted the migration and proliferation of HN4 cells. Through bioinformatics analysis, FUT6 was found to be expressed at low levels in HNC and correlated with patient survival. Immunohistochemical, qRT-PCR results showed that FUT6 was underexpressed in tumor tissues and HN4 cells. Cell and animal experiments showed that overexpression of FUT6 could inhibit tumor proliferation and migration. Bioinformatics analysis showed that lncRNA PART1 was positively correlated with FUT6. By qRT‒PCR, we observed that after knockdown of lncRNA PART1, both the mRNA and protein expression levels of FUT6 were reduced. The above results indicated that lncRNA PART1 and FUT6 were poorly expressed in HNC and that lncRNA PART1 affected the development of cancer by interacting with FUT6.
Identification and validation of a five-necroptosis-related lncRNAs signature for prognostic prediction in hepatocellular carcinoma
Authors: Chen Hao , Lan Tian , Hou Guimin , Xue Shuai , Xu Lin , Feng Qingbo , Wang Haichuan , Zeng Yong
Published: October 2023

Background
Hepatocellular carcinoma (HCC) is one of the most common digestive malignant tumors with poor prognosis. As a kind of death receptor-mediated regulated programmed death, necroptosis has the dual characteristics of necrosis and apoptosis. Long non-coding RNAs (lncRNAs) are reported to be key regulators in tumor necroptosis. This study aimed to identify the necroptosis-related lncRNAs (np-lncRNA) in HCC and investigate their relationships with prognosis.
Method
The RNA-sequencing data and clinicopathological and survival information of patients with HCC were retrieved from The Cancer Genome Atlas (TCGA) database. The np-lncRNAs were analyzed to predict the prognosis of patients with HCC. Stepwise multivariate Cox regression analysis was used to construct prognostic signatures related to necroptosis. Kaplan-Meier (KM) analysis was used to compare the prognosis of patients. Receiver operating characteristic (ROC) analysis and decision curve analysis (DCA) was used to assess the accuracy of the prognostic signature. Quantitative real-time polymerase chain reaction(qPCR) was used to validate the lncRNAs expression among samples from an independent cohort.
Results
The np-lncRNAs ZFPM2-AS1, AC099850.3, BACE1-AS, KDM4A-AS1 and MKLN1-AS were identified as potential prognostic biomarkers. The area under the curve (AUC) of the prognostic signature constructed by these np-lncRNAs reached 0.773. Patients were divided into two groups based on the risk score calculated by the signature, and poorer overall survival was shown in the high-risk group. Gene Set Enrichment Analysis (GSEA) suggested that tumor-related pathways (mTOR, MAPK and p53 signaling pathways) and immune-related functions (T cell receptor signaling pathway and natural killer cell mediated cytotoxicit) were significantly different between the low risk and high risk group. The increased expression of np-lncRNAs was confirmed in another independent HCC cohort.
Conclusions
This signature is a reliable tool for predicting the prognosis of HCC patients. Our findings provide a subset of np-lncRNA biomarkers for prognosis prediction and personalized treatment of HCC patients.
Long-term alcohol exposure aggravates ischemic stroke-induced damage by promoting pericyte NLRP3 inflammasome activation via the TLR4/NF-κB pathway in rats
Authors: Wang Kaixin , Yang Lingfei , Li Qingsheng , Yang Xuan , Chen Ziyi , Xu Yudi , Chen Yufei , Jia Yanjie , Gong Zhe
Published: October 2023

Background: Alcohol consumption is a common lifestyle worldwide and a manageable risk factor for ischemic stroke. Chronic ethanol exposure reportedly causes blood-brain barrier (BBB) dysfunction and neuroinflammation. Pericytes participate in neuroinflammation during cerebral ischemia. However, whether pericytes are involved in alcohol-induced cerebral ischemia/reperfusion injury remains unclear. Therefore, we investigated the activation of Nod-like receptor protein 3 (NLPR3) inflammasome and Toll-like receptor 4 (TLR4)/ nuclear factor kappa-B (NF-κB) pathway in the pericytes in vivo and in vitro.
Methods: Rat models of long-term alcohol intake followed by transient middle cerebral artery occlusion stroke (EtOH+tMCAO group) and cell models of oxygen-glucose deprivation/reoxygenation (OGD/R) with alcohol co-treatment were constructed.
Results: Worsened infarct volume, neurological scores, and BBB disruption were observed after reperfusion in the EtOH+tMCAO group. Immunofluorescence staining showed increased NLPR3 inflammasome activation in the pericytes at the ischemic penumbra in the alcohol intake group than in the control group. Western blotting showed increased expression of the NLRP3 inflammasome in the pericytes after OGD/R that was significantly amplified by alcohol pretreatment. Alcohol-activated TLR4 in the pericytes in vivo and elevated levels of TLR4/NF-κB pathway-associated protein were observed in the pericytes following alcohol treatment in vitro. Transfecting with TLR4-short hairpin RNA to block TLR4 signaling in OGD/R models with alcohol co-treatment markedly reversed NLRP3 inflammasome activation. In vivo, TAK-242 inhibited TLR4 expression in the EtOH+tMCAO group and alcohol-mediated neurological impairment was significantly alleviated.
Conclusion: Long-term alcohol pretreatment aggravated ischemic stroke-induced brain damage by activating NLRP3 inflammasome and TLR4/NF-κB signaling pathway in the pericytes.
Prognostic characteristics and immunological role of angiogenic factors in epithelial ovarian cancer
Authors: Li Xiaoying , Wu Yingnan , Peng Yanqing , Jia Tianshuang , Gong Liping , Dong Shuang , Sun Litao
Published: October 2023

Background
The combination of antiangiogenic and immune checkpoint inhibitor therapies has emerged as a breakthrough treatment for ovarian cancer (OC). However, the immune effects of angiogenesis-related factors in OC remain to be investigated.
Methods
Using OC single-cell RNA sequencing (scRNA-seq) data (GSE189843) obtained from Gene Expression Omnibus and bulk data from The Cancer Genome Atlas, we identified differentially expressed genes in OC epithelial cells. Furthermore, functional enrichment analysis and gene set enrichment analysis were performed using “clusterProfiler,” followed by univariate Cox regression to identify genes with prognostic significance. The efficiency of the prognostic risk scoring model was evaluated using receiver operating characteristic (ROC) analysis. Angiogenesis-related factors were identified using public databases, and immune analysis of these factors was performed using TIMER and TIDE data.
Results
The functional enrichment analysis revealed that the differentially expressed cancer genes identified in OC epithelial cells were associated with immune functions, including B-cell activation and immunoglobulin complex, and 13 genes were found to have significant prognostic implications. Subsequently, a prognostic risk model comprising four genes (IGKC, KRT19, JCHAIN, and SCNN1A) was constructed. ROC analysis showed favorable performance of the model in terms of discrimination efficiency. Additionally, we identified 25 angiogenic factors specifically expressed in epithelial cells. Importantly, the expressions of angiogenic factors clusterin (CLU) and ceruloplasmin (CP) were found to significantly affect the immune response in OC and showed a strong association with the prognosis of OC patients.
Conclusions
Our study identified prognostic factors in OC epithelial cells and established a prognostic risk model.
Research on SF-YOLONet metal gear end-face defect detection method based on evolutionary algorithm optimization
Authors: Yang Shuai , Zhou Lin , Wang Chen , Wang Shenghuai , Lv Jiang , Wang Qin
Published: October 2023

Some common problems, including the effect of non-detection regions on accuracy, the small size and multi-scale of defects,and the challenge of automatically optimizing neural network hyperparameters, are confronted during the metal gear end-face defect detection, lead to the inadequate performance of accuracy and efficiency, making them unsuitable for meeting the real-time online detection demands in industries. To address the problems above, this study proposes a method SF-YOLONet to detect defects on metal gear end faces by using the Optimized Evolutionary Algorithm. Firstly, a testing platform was constructed to detect surface defects on metal gear end-faces. Subsequently, in order to address the impact of non-detection regions on accuracy, this study introduces the SF algorithm, a visual saliency-based image extraction method, to eliminates interference between ineffective features in non-detection regions and edge burrs. Additionally, A network (YOLONet) for detecting end-face defects in metal gears is introduced, which integrates the CBAM module and BiFPN feature extraction strategy. These advancements enhance adaptive learning and feature extraction for small-sized defects on gear end-face, and combine low-resolution and deep-level semantic information, to detect small and multi-scale defects is enhanced. Finally, the ISSA algorithm is introduced to optimize the hyperparameters of the SF-YOLONet model, thereby avoiding the instability of manual parameterization. The experiment demonstrated that the SF-YOLONet model achieved an average precision of 98.01% and an F1 score of 0.99 on the Metal Gear end-face defect testing dataset. The average computation time for detection per image on the YOLONet model was 0.13 seconds. Compared to other deep learning models, the proposed SF-YOLONet model significantly improves precision and efficiency in detecting defects on gear end-face. This enhancement effectively meets the real-time online detection requirements of industries.
Detecting Potential Market Corner Risk of WTI: A Hybrid Algorithm Anomaly Detection Approach
Authors: LI DUN , Li Hongzhi , Crespi Noel , Minerva Roberto , Farahbakhsh Reza , Shao Wenhao , Raza syed-mohsan , Li Kuan-Ching
Published: October 2023

The price of crude oil is one of the most critical factors of the world economy, as it is volatile and sensibly affected by the macro-economic, thus attracting large-scale speculative activities. Well known for its vulnerability, some price fluctuations are affected by external factors, such as the financial crisis and oil trade war, while others are due to manipulation. Due to such facts, this article aims to clarify the characteristics and features of the market corner in the crude oil future market and detect potential market corner risk in West Texas Intermediate (WTI), and a hybrid anomaly detection approach is proposed. After a detailed overview of the characteristics and definitions of the market corner, the features are extracted by processing actual market data. We first detect suspicious market corners with abnormal prices and volume through the Local Outlier Factor algorithm (LOF). Next, the detected results are used as pseudo-labels, and the entire month's trading behavior is trained and classified through the Support Vector Machine (SVM) and Random Forest (RF) algorithms to identify potential market corners.Experimental results show that the proposed model has excellent accuracy, precision, recall, and F-score, indicating that the model is feasible and has strong robustness. Furthermore, based on the successful detection of potential market corner risk, the model can be further used for individual risk control and overall supervision of the crude oil futures market.
Mitochondrial DNA D-loop A/G Transition at Position 869 as a Reproductive Performance Indicator in Gir Cattle
Authors: Malik Anuj , E.M Sadeesh
Published: October 2023

Reproduction is a critical aspect of livestock production, with mitochondria playing a pivotal role in providing the necessary energy for this high-demanding process. Maternally inherited mitochondria are known to influence various cellular functions, including ATP production and apoptotic regulation, and possess their own genome, including the Displacement loop (D-loop). This study aims to explore the mitochondrial DNA (mtDNA) D-loop SNPs and their potential association with reproductive traits in Gir cattle, an indigenous breed. Two groups of animals were categorized based on their reproductive performance, with good performers demonstrating shorter calving intervals, gestation lengths, days open, and fewer services per conception. Total DNA was isolated from blood samples, and mtDNA D-loop sequences were obtained through Sanger sequencing, resulting in 29 haplotypes. Comparative analysis revealed that animals with poor reproductive performance exhibited a higher number of polymorphic sites, transition/transversion biases, and occurrences of insertions/deletions (INDELs) compared to the good performers. Specifically, good performers showed higher A/G and G/A substitutions, while poor performers exhibited higher T/A, C/A, A/T, G/T, and G/C substitutions. The A/G transition at Position 869 was significantly associated with poor reproductive performance, impacting secondary structure stability and likely affecting energy efficiency. Validation of these findings in a larger Gir cattle population and exploring mtDNA polymorphisms in coding regions may establish a maternal lineage-based biomarker for assessing reproductive efficiency in this indigenous breed. This study sheds light on the significance of mitochondrial genetic factors in shaping reproductive traits and offers insights into sustainable livestock production.
Analysis of the chloroplast genome of Malus baccata var. gracilis
Authors: Qin Xin , Hao Qiang , Wang Xun , Liu Yangbo , Yang Chen , Sui Mengyi , Zhang Yawen , Hu Yanli , Chen Xuesen , Mao Zhiquan , Mao Yunfei , Shen Xiang
Published: October 2023

Malus baccata var. gracilis has high ornamental value and breeding significance, and comparative chloroplast genome analysis was applied to facilitate genetic breeding for desired traits and resistance and provide insight into the phylogeny of this genus. Using data from whole-genome sequencing, a tetrameric chloroplast genome with a length of 159,992 bp and a total GC content of 36.56% was constructed. The M. baccata var. gracilis chloroplast genome consists of a large single-copy area (88,100 bp), a short single-copy region (19,186 bp), and two inverted repeat regions, IRa (26,353 bp) and IRb (26,353 bp). This chloroplast genome contains 112 annotated genes, including 79 protein-coding genes (nine multicopy), 29 tRNA genes (eight multicopy), and four rRNA genes (all multicopy). Calculating the relative synonymous codon usage revealed a total of 32 high-frequency codons, and the codons exhibited a biased usage pattern towards A/U as the ending nucleotide. Interspecific sequence comparison and boundary analysis revealed significant sequence variation in the vast single-copy region as well as generally similar expansion and contraction of the SSC and IR sections for ten analyzed Malus species. M. baccata var. gracilis and Malus hupehensis were grouped together into one branch based on the phylogenetic analysis of chloroplast genome sequences. The chloroplast genome of Malus species provides an important foundation for species identification, genetic diversity analysis, and Malus chloroplast genetic engineering. Additionally, the results can facilitate the use of pendant traits to improve apple tree shape.
Necroptosis-associated long noncoding RNA predicts prognosis for cervical cancer in a microenvironment signature associated with anti-tumor immune responses
Authors: Yang Jun , Ma Zhenglai , Yu Haibin , Zhang Yuening
Published: October 2023

Background: Cancer has high incidence rate, poor prognosis and high intratumoral heterogeneity. Necrosis is an important cellular signaling pathway in tumor cells, which can overcome the resistance of tumor cells to apoptosis. To investigate the relationship between CC and necrosis, we established a prognostic model based on necrosis related genes to predict the overall survival (OS) of CC patients.
Methods: We obtained gene expression data and clinical information of cervical cancer patients from the Cancer Genome Map (TCGA). By detecting differential gene expression between tumors and normal tissues, 43 differentially expressed necrosis related lncRNAs (NRLs) were identified. Subsequently, the Least Absolute Shrinkage and Selection Operator (LASSO) regression and univariate and multivariate Cox regression analysis were used to screen for NRLs associated with patient prognosis. We have established prognostic markers including AC022137.3, AC024270.3, AC010542.5, AC010536.2, U91328.1, and AL021978.1. According to the prognosis model, patients are divided into high-risk or low-risk subgroups with different survival rates. The receiver operating characteristic (ROC) curve analysis is used to determine the predictive accuracy of the model. We conducted stratified analysis on different clinical variables to demonstrate the correlation between the expression level of NRLs identified and clinical variables. We also explored the relationship between the prognostic NRLs and immune-cell infiltration and immune checkpoints.
Results: Based on the differently expressed lncRNAs, we constructed lncRNA signatures. The area under the curve (AUC) of the ROC curve is used to predict 5-year survival rate with a characteristic of 0.757. Subsequent analysis indicates that our features can effectively distinguish adverse survival outcomes. High expression of immune checkpoint related lncRNAs is associated with low risk groups.
Conclusion: We have constructed a new necrosis related lncRNA signal for predicting the prognosis of CC patients and may play a key role in the progression and immune microenvironment of CC.
Systematic Seismic Events Discrimination Methods at the Kenya National Data Centre (N090)
Authors: Mulwa Josphat Kyalo
Published: October 2023

The International Data Centre (IDC) routinely applies event screening or discrimination using a multi-technology approach in order to characterize events as either natural or anthropogenic. Various event discriminants are presented in literature. At the Kenya National Data Centre (KE-NDC or N090), a systematic and step-by-step procedure of SEISMIC events discrimination is applied. Results from the discriminants adopted are obtained within a short time and the discriminants are relatively easy and fast to use. The discriminants used at KE-NDC (N090) are ranked in a hierarchy based on results obtained from one discriminant being applied in subsequent dsicriminants and ease of returning results within the shortest time possible to allow for events discrimination and dissemination of results. The discriminants applied and their hierarchy at KE-NDC include:- (i) event location (epicenter/hypocenter parameters) (ii) hypocenter parameters based on events relocation using HYPOCENTER, (iii) magnitude determination, (iii) mb:Ms criteria and (iv) focal mechanism determination. Two seismic events are used as case examples to demonstrate how events discrimination is achieved based on the discriminants presented herein. The two seismic events are the 20190324 and 20200503 seismic events in the southwestern and northern Kenya respectively. The choice of these two events is based on the fact that they were strong enough to be recorded by a number of global seismic stations and their magnitudes are comparable to the 2009, 2013 and 2016 but slightly lower than the 20170903 DPRK announced tests. Based on the discriminants used and presented herein, the two seismic events were categorized as being due to natural earthquakes.
Design a Hybrid Memory Array for Radiation-Hardened SRAM in Satellite Image Compression Systems
Authors: Sharma Priyanka , Neema Vaibhav
Published: October 2023

In the satellite technology landscape, the satellite industry is crucial across military, meteorology, safety, climate monitoring, and landscape mapping sectors. The demand for high-quality satellite imagery has led to innovations in image processing and compression techniques to overcome challenges such as data storage limitations and slow upload speeds. This paper focuses on optimizing on-board SRAM memory cells for satellite image compression, addressing issues like radiation-induced errors, memory size, and power efficiency. A hybrid memory array is proposed, allocating reliable cells for Most Significant Bits (MSB) and less reliable cells for Least Significant Bits (LSB), optimizing area, power, and data integrity. The research evaluates SRAM cell sensitivity to radiation-induced Single Event Upsets (SEUs), with simulation results indicating smaller cell sizes and lower operating voltages increase susceptibility. Simulate a comparative analysis involving radiation-hardened SRAM cells, including CC18T, RHC14T, RHMC12T, SARP12T, SRRD12T, and PCELL10T, and proposed 12T. Proposed 12T cell is significantly 1.22x/3.77x/3.9x/4.1x/1.86x less write delay then CC18T/RHC14T/RHMC12T/SRRD12T/PCELL10T, respectively. Additionally, 2.27x/1.98x/71.29x lower read access time than RHMC12T/SARP12T/SRRD12T memory cells. The area occupied by our proposed cell is substantially smaller, with it being 2.03x/1.39x/1.18x/1.6x/1.09x less than CC18T/RHC14T/RHMC12T/ SRRD12T / PCELL10T. Furthermore, observed improvements in read, write and hold Noise Margins, and critical charge. Introduced an Electrical Quality Metric (EQM) to provide a comprehensive assessment of SRAM cell performance, and our proposed cell excels in terms of EQM compared to the others.
DNA methylation fine-tunes pro-and anti-inflammatory signalling pathways in inactive ulcerative colitis
Authors: Meng Wei , Fenton Christopher G. , Johnsen Kay-Martin , Taman Hagar , Florholmen Jon , Paulssen Ruth H.
Published: October 2023

Epigenetic changes, like DNA methylation, have been implied to play a role in the immune dysfunction associated with inflammatory bowel disease (IBD) and the disease development of ulcerative colitis (UC). Changes of the DNA methylation and correlated gene expression in patient samples with inactive UC might reveal possible regulatory features important for further treatment options for UC. Bisulfite sequencing and whole transcriptome sequencing were performed on mucosal biopsies from patients with active UC (UC, n = 14), inactive UC (RM, n = 20), and non-IBD patients (NN, n = 11) which served as controls. The differentially methylated regions (DMRs) were identified by DMRseq. Correlation analysis was performed between DMRs and their nearest differentially expressed genes (DEGs). Principal component analysis (PCA) was performed based on correlated DMR regulated genes. DMR regulated genes then were functional annotated. Cell-type deconvolutions were performed based on methylation levels. The comparisons revealed a total of 38 methylation-regulated genes in inactive UC that are potentially regulated by DMRs (correlation p value < 0.1). Several methylation-regulated genes could be identified in inactive UC participating in IL-10 and cytokine signalling pathways such as IL1B, STAT3. DNA methylation events in inactive UC seem to be fine-tuned by the balancing pro- and anti- inflammatory pathways to maintain a prevailed healing process to restore dynamic epithelium homeostasis.
Screening of Prognostic Molecular Markers and Establishment of Prognostic Model for G-protein Coupled Receptor-Related Genes in Epithelial Ovarian Serous Cancer Based on Machine Learning Method
Authors: Ma Shaohan , Li Ruyue , Li Guangqi , Wei Meng , Li YongMei , Li Bowei , Ha Chunfang
Published: October 2023

Background. Ovarian cancer（OV） is one of the most common malignant tumors of the female reproductive system, five-year survival rate is in the low to mid 30% range, threatening the lives of female patients worldwide. Inefficient early diagnosis and prognostic prediction of OV leads to poor survival in most patients. G protein-coupled receptors (GPCRs) are currently the largest family of cell-surface receptors within the human genome are associated with OV. We aimed to identify G protein-coupled receptor-related genes GPCRRGs signatures and develop a novel model for predicting OV prognosis.
Methods.We downloaded data from The Cancer Genome Atlas (TCGA), and Gene Expression Omnibus (GEO) databases. Prognostic GPCRRGs were screened by Least absolute shrinkage and selection operator (LASSO)-Cox regression analysis, and a prognostic model was constructed. The model’s predictive ability was evaluated by Kaplan–Meier (K-M) survival analysis. The expression levels of these GPCRRGs included in the model were examined in normal and OV cell lines using quantitative reverse transcriptase polymerase chain reaction. We finally analyzed the immunological characteristics of the prognostic diagnostic model for differences between high and low risk groups using two methods: single-sample gene-set enrichment analysis（ssGSEA）and （CIBERSORT）.
Results. We screened a total of 17 GPCRRGs through TCGA and GEO databases. The K-M analysis showed that the prognostic model was able to significantly distinguish between high- and low-risk groups, corresponding to worse and better prognoses. M0 Macrophages , M2 Macrophages , Monocytes, Neutrophils, and T cells follicular helper have significant differences in the percentage of infiltration abundance among five types of cells. Immune cell infiltration, immune checkpoint expression levels, and Tumor Immune are also insightful for OV immunotherapy.
Conclusion. The prognostic model constructed in this study has potential for improving our understanding of GPCRRGs and providing a new tool for prognosis and immune response prediction in patients with OV.
Living with a "big illness" in Goa, India, unmaking and remaking of life-world: depression, stigma & HIV in the HAART era
Authors: Mayston Rosie , Fernandes Luanna , Fernandes Danielle , Dias Amit , Prince Martin , Sequeira Miriam
Published: October 2023

Whilst advances in treatment mean that HIV is now characterised as a chronic disease where people living with the condition can achieve a “normal” life expectancy. However, it is questionable whether normalcy may be achieved in the context of the everyday life challenges that many of those living with HIV face. Unsurprisingly, depression is common. Despite clinical advances, people with HIV, particularly those living in some low and middle-income countries, including India, face pervasive stigma. We carried out a qualitative study in Goa, India to explore how people living with HIV and NGO service providers make sense of the disease. We were particularly interested in the psychosocial experience of living with HIV. We used purposive and snowball sampling to recruit HIV NGO service providers (n = 18) and service users (n = 19). In-depth interviews were carried out by trained research assistants in local languages (Konkani/Hindi/English) between May to August 2020. We used thematic analysis, starting with inductive coding carried out by two researchers and moving to collaborative generation and refinement of themes. Our results show that for our participants, HIV retained its disruptive power. Although lack of knowledge about treatment contributed to distress, it was the social effects (stigma) that were most feared, leading some to consider suicide. Our narratives illustrated an arc from unmaking to reconstitution of the lifeworld. This was achieved by focusing on enduring threads (faith in God, childrearing) and with the support and guidance of NGO staff, many of whom were living with HIV themselves. Our findings suggest the social constitution of depression and its entanglement with stigma among people living with HIV. There may be a critical time-point close to diagnosis for dual interventions which address both these life problems, which may have positive effects on HIV outcomes. NGOs and peers may be the natural homes/hosts for these.
Quantum theory does not explain photon interference in double-slit experiments.
Authors: Rajkowski Janusz Wiktor
Published: October 2023

In a modified double-slit apparatus, the laser beam was halved by a physical barrier, isolating the two halves around the slits. This design eliminates the supposed quantum-mechanical field interaction as a cause of interference. Our study challenges the quantum interpretation of double-slit interference.
A neutron diffraction study of the hydrous borate inderborite, CaMg[B3O3(OH)5]2(H2O)4·2H2O
Authors: Gatta G. Diego , Cannaò Enrico , Comboni Davide , Battiston Tommaso , Fabelo Oscar
Published: October 2023

The crystal chemistry of inderborite, a B-rich mineral (B2O3 ~41 wt%) with ideal formula CaMg[B3O3(OH)5]2·6H2O or CaMg[B3O3(OH)5]2(H2O)4·2H2O from the Inder Deposit, Kazakhstan, was re-investigated by a multi-methodological approach (single-crystal X-ray and neutron diffraction, electron probe micro-analysis in wavelength-dispersive mode, laser ablation multi-collector inductively mass spectrometry). The experimental findings show that the real chemical formula of inderborite from the Inder Deposit is virtually identical to the ideal one: the fraction of potential isomorphic substituents is insignificant. Boron is, therefore, the only industrially relevant element occurring in this mineral. The in situ B isotope composition of the Inder inderborite shows enrichment in the heavy 11B isotope, giving a weighted mean δ11BNIST951 of +35.15 ± 0.49 ‰ (2σ, N = 6). Such a positive δ11B value falls within the range of values in which the source of boron is ascribable to marine reservoirs rather than to terrestrial ones.

X-ray (at 293 K) and neutron (at 20 K) structure refinements confirm that the principal building block unit of the structure is a [B3O3(OH)5]2– ring, consisting of two BO2(OH)2 tetrahedra (B-ion in sp3 electronic configuration) and one planar-triangular BO2OH group (B-ion in sp2 electronic configuration). In the [B3O3(OH)5]2– ring, all the oxygen atoms that are not shared between two boron atoms are protonated. The building units share corners with the CaO2(OH)4(OH2)2 polyhedra and Mg(OH)4(OH2)2 octahedra, forming hetero-polyhedral sheets parallel to (100). Subsequent hetero-polyhedral sheets are mutually connected only by H-bonding interactions, even mediated by the zeolitic (“interstitial”) H2O molecules. Ten out of 11 independent oxygen sites in the structure of inderborite are involved in H-bonds as donors or acceptors, and this reflects the pervasive effect of the H-bonding network. The role played by the complex H-bond network is expected to be substantial on the stability of the crystalline edifice, having effects within the single hetero-polyhedral sheet, between subsequent sheets, and in the bonding with the interstitial zeolitic H2O molecules. Finally, the potential utilizations of inderborite, as a B-bearing mineral, are discussed.
Two-loop QCD corrections for three-photon production at hadron colliders
Authors: Abreu Samuel , De Laurentis Giuseppe , Ita Harald , Klinkert Maximillian , Page Ben , Sotnikov Vasily
Published: October 2023

We complete the computation of the two-loop helicity amplitudes for the production of three photons at hadron colliders, including all contributions beyond the leading-color approximation. We reconstruct the analytic form of the amplitudes from numerical finite-field samples obtained with the numerical unitarity method. This method requires as input surface terms for all relevant five-point non-planar integral topologies, which we obtain by solving the associated syzygy problem in embedding space. The numerical samples are used to constrain compact spinor-helicity ansätze, which are optimized by taking advantage of the known one-loop analytic structure. We make our analytic results available in a public C++ library, which is suitable for immediate phenomenological applications. We estimate that the inclusion of the subleading-color contributions will decrease the size of the two-loop corrections by about 30% to 50%, and the NNLO cross sections by a few percent, compared to the results in the leading-color approximation.
El Stercus Demonis. Arqueología y petróleo en la cuenca del Lago de Maracaibo, Venezuela, en la época precolonial
Authors: Meneses Pacheco Lino , Gordones Rojas Gladys
Published: October 2023

A partir de la revisión de la bibliografía arqueológica especializada sobre los usos de petróleo crudo por parte de las sociedades antiguas y los textos históricos de los europeos que estuvieron en la cuenca del Lago de Maracaibo a partir del siglo XVI, se presentan los resultados de las investigaciones arqueológicas que demuestran que, entre los años 800 y 1500 de nuestra era, el mene -petróleo crudo- fue usado como adhesivo por los pueblos precoloniales de la Costa Oriental de Lago de Maracaibo asociados con la tradición Dabajuro, para resanar las urnas funerarias del sitio arqueológico de La Mesa, localizado en la Costa Oriental del Lago de Maracaibo, Venezuela.
Does the Strength of Labour Regulation Affect Self-Employment? Evidence from the BRICS Countries
Authors: Zhang W.
Published: October 2023

This article examines the relationship between labour regulation and self-employment in the BRICS countries by using data from the Labour Regulation Index developed at the Centre for Business Research at Cambridge University (CBR-LRI) and the ILOSTAT collected and developed by the ILO Department of Statistics from 1992 to 2013. The research is conducted in two strands. In the first strand, the study examines the relationship between labour regulation and self-employment at the overall level. The empirical results obtained suggest that a negative relationship exists in Brazil, China, and South Africa, while a positive relationship exists in Russia and South Africa. This implies that, as the relative strength of labour regulation increases in Brazil, China, and South Africa, fewer workers are likely to be engaged in self-employment. In Russia and India, however, the result implies that more workers are likely to be engaged in self-employment with relatively stronger labour regulation. In the second strand, the study provides a breakdown of labour regulation and self-employment into measures of their constituent components, including the regulation on different forms of employment, working time, dismissal of employees, employee representation, and industrial actions and employers’ and vulnerable employment. The findings suggest that not all five aspects of labour regulation have a significant effect on employers’ and vulnerable employment in the BRICS countries except for Russia. The most influential or the only aspect that has a significant effect on employers’ employment is the regulation on different forms of employment in Brazil and South Africa (negative) and Russia (positive), and the regulation on industrial actions in India (positive) and China (negative), while the most influential or the only aspect affecting vulnerable employment is the regulation on dismissal in Brazil (negatively), the regulation on employee representation in Russia (positively), the regulation on different forms of employment in India (positively), the regulation on industrial actions in China (negatively), and the regulation on working time in South Africa (positively).
Regulating the Unregulated: The Advent of Fintech Regulations and Their Impacts on Equity-Based Crowdfunding
Authors: Aydemir M. , Aysan A. F.
Published: October 2023

The concept of equity-based crowdfunding (ECF) has become one of the latest innovative financing alternatives for startups and SMEs throughout the world during the last decade. This article aims to assess the revised crowdfunding directive of Turkey and its role in the development of the ecosystem. The concept of ECF is elucidated with its stakeholders, challenges, and solutions. Then the effect of the revised regulation is analyzed through a case study of the first active ECF platform in Turkey, Fonbulucu. Finally, the article discusses the potential improvements to the existing directive considering the practices of Fonbulucu.
From the Old Financial to the New Commodity Economy in the Era of Stagflation
Authors: Molodyko K.
Published: October 2023

In the process of reducing the speculative financial adjustment that artificially stimulates consumer demand in developed countries, the importance of suppliers of physical goods (commodities) from developing countries will increase. I don’t believe in a complete dictate of commodities producers because they are dependent on counter deliveries of technologies from developed countries. However, relationships will be built between holders of physical goods, and technologies will change significantly. The pricing function for commodities will be transferred to several exchanges of developing countries which will be controlled by the commodity producers. Food consumers from Asian and African developing countries will be provided with the BRICS assistance in the creation and protection of reserve food warehouses on their territory as well as supporting their key exports through the creation of a network of new commodity exchanges. The article substantiates the need for independent formation of regional prices by the BRICS countries for the primary goods of their exports on their exchanges. I propose various combinations among the founding countries for new commodity exchanges for mineral fertilizers, oil, diamonds, titanium, vanadium, palladium, wheat, and uranium. Trading on all these new commodity exchanges must take place entirely in the currencies of the engaged countries.
THE IMPACT OF CUSTOMER SATISFACTION, CUSTOMER EXPERIENCE, E-SERVICE QUALITY TO CUSTOMER TRUST IN PURCHASING DIGITAL PRODUCT AT THE MARKETPLACE
Authors:   Bina Nusantara University, Indonesia, Halim Erwin , Claudia Lucyana ,   Bina Nusantara University, Indonesia, Hebrard Marylise ,   Institut Des Usages Montpellier, France
Published: October 2023

One of the emerging business model changes is the emergence of the e-commerce industry. E-commerce Company can develop if customers are satisfied and the service quality is also good. The subject of this research is about the impact of Customer Satisfaction, Customer Experience, and Electronic Service Quality on Customer Confidence in Buying Digital Products in Each Marketplace. Therefore, this study aims to analyze whether these variables have a significant effect on customer trust in buying digital products in each marketplace. The sampling technique used in this study was a purposive sampling technique which was selected based on respondents who were willing to fill out a questionnaire and met predetermined sample criteria. The hypothesis proposed in this study was tested using multiple linear regression tests. The results showed that Customer Satisfaction, Customer Experience, Electronic Service Quality have a significantly positive effect on Customer Confidence in Buying Digital Products in Each Marketplace. Marketplace must ensure that customer experience, electronic service quality, and customer satisfaction are met so as to strengthen customer confidence in buying digital products.
THE NAHDLIYAH SPIRITUAL VALUE PERSPECTIVE IN ANALYZING THE ROLE OF FINANCIAL PERFORMANCE OF MSME
Authors:   Department of Management, Faculty of Economics, Universitas Islam Sultan Agung, Santoso Bedjo , Hendar Hendar ,   Department of Management, Faculty of Economics, Universitas Islam Sultan Agung, Zaenudin Zaenudin ,   Department of Management, Faculty of Economics, Universitas Islam Sultan Agung, Haron Razali Bin ,   Institute of Islamic Banking and Finance, International Islamic University, Malaysia
Published: October 2023

The most researches related to the Nahdlatul Ulama (NU) community business performance is just focus on the role of entrepreneur, ICT, e-commerce, marketing, and other common variables that have ignored the important concept which initiated from the main value of the NU’s movement philosophy. It is therefore, this study aimed to analyses the role of Nahdliyah spiritual value (NSV) to NU’s busines performance. NSV considered as new concept synthesized by combining resource advantage on competition theory (RACT) and social identity theory (SIT) inserted by Nahdliyin value concept. The object of this research is the NU business community members of the NU Entrepreneurs Association (HPN). This study used a quantitative method with purposive sampling to select 350 MSMEs (UMKM) under HPN in Central Java and tested the regressive relationship of 6 variables with SEM PLS 4.0. The findings show that digital marketing capabilities, ICT, and entrepreneurial spirit are the factors that most support the existence of NSV. Besides that, NSV plays a role in mediating the relationship between these three factors to financial performance in an MSME. This study fulfils the theoretical gaps and produces new perspectives into the spiritual value concept of resource advantage theory on the competition by inserting spiritual values implemented in MSMEs based on spiritual community businesses. This research contributes to the development of a new concept of NSV. The study also covered the research gap related to the relationship between the variables involved.
THE INTERVENING ROLE OF E-SATISFACTION IN RELATIONSHIPS BETWEEN E-SERVICE QUALITY AND E-LOYALTY: CASE OF BNI MOBILE BANKING IN INDONESIA
Authors:   Fakultas Komunikasi dan Bisnis, Telkom University, Bandung, Utomo Tasya Yesica , Hidayat Agus Maolana ,   Fakultas Komunikasi dan Bisnis, Telkom University, Bandung
Published: October 2023

Banking as a financial intermediary institution can play a role in encouraging domestic economic growth which can help develop the economy in various regions. Almost all aspects of life today require various kinds of technological assistance which enables the mobility of capital or investment to be easier, faster and more useful for everyday life due to the rapid development of technology and information. The purpose of this study is to determine the response and influence of E-Service Quality on E-loyalty through E-Satisfaction of BNI Mobile Banking user, either directly or indirectly. The research method used is descriptive and quantitative involving 225 respondents using BNI Mobile Banking in Indonesia. The sampling technique used is non-probability sampling with the type of convenience. Data processing and analysis techniques use PLS-SEM through SmartPLS 3.0 software. Quality of electronic services (in terms of effectiveness, compliance, system availability, privacy, contact, and responsiveness) has a direct impact on e-loyalty and e-satisfaction. E-satisfaction has been shown to aid in the creation of client loyalty as a connection between service quality and consumer satisfaction.