bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal immunotherapy regimens for NSCLC patients with KRAS mutations: a systematic review and network meta-analysis
Authors: zhang Lin , Chen Wei , Wei Hongtao , Yu Junxian 
Published: May 2023

Abstract
Objective Patients with KRAS-mutated NSCLC will have a lower survival rate than patients with KRAS gene wild-type, for whom the use of immune checkpoint inhibitors has a significant benefit. We conducted a systematic evaluation and network meta-analysis to find the best treatment option for such patients with ICIs by comparing the efficacy of immune checkpoint inhibitors (PD-1/PD-L1 inhibitors as well as CALT-4 inhibitors) in patients with advanced or metastatic NSCLC with KRAS mutations.Method Until October 30, 2022, a systematic searched of Pubmed, Embase, Cochrane library and Web of Science. The primary endpoint were overall survival (OS) and progression-free survival (PFS) of KRAS-mutated patients treated with immune checkpoint inhibitors compare with chemotherapy. All statistical were made with R-studio.Result Overall, 6 studies that included a total 469 patients were analyzed in this meta-analysis. Pembrolizumab monotherapy had a higher OS than chemotherapy (HR 0.42, 95% CI 0.22, 0.8) and pembrolizumab combined with chemotherapy had a higher PFS than chemotherapy (HR 0.47 95% CI 0.29,0.76). In terms of OS, among NSCLC patients with KRAS-mutated, pembrolizumab monotherapy was the best treatment for their first-line treatment and nivolumab was the best treatment for second-line treatment. In contrast, atezolizumab monotherapy had no significant advantage in this group. Of the five non-chemotherapy regimens, pembrolizumab was not as effective in combination with chemotherapy, but the benefit of this regimen was greater than pembrolizumab monotherapy and nivolumab monotherapy in terms of PFS.Conclusion In terms of efficacy, the best immunotherapy regimen for patients with KRAS-mutated NSCLC is the use of pembrolizumab monotherapy, which is also the best treatment for first-line therapy in this group, followed by the recommendation of nivolumab monotherapy, which is also the best treatment for second-line therapy in this group.
Multi-pose-based Convolutional Neural Network Model for Diagnosis of Patients with Central Lumbar Spinal Stenosis
Authors: Park Seyeon , Kim Jun-Hoe , Ahn Youngbin , Yuh Woon Tak , Lee Chang-Hyun , Hyun Seung-Jae , Kim Chi Heon , Kim Ki-Jeong , Chung Chun Kee , Kim Young-Gon 
Published: May 2023

Abstract
Although plain radiographs have declined in importance since the advent of magnetic resonance imaging (MRI), their diagnostic ability has improved dramatically when combined with deep learning. Previously, we developed a convolutional neural network (CNN) model using a radiograph for diagnosing lumbar spinal stenosis (LSS). In this study, we aimed to improve and generalize the performance of CNN models using multi-pose radiographs. Individuals with severe or no LSS, confirmed using MRI, were enrolled. Lateral radiographs of three postures were collected. We developed a multi-pose-based CNN (MP-CNN) model using four pre-trained algorithms and three single-pose-based CNN (SP-CNN) using extension, flexion, and neutral postures. The MP-CNN model underwent additional internal and external validation to measure generalization performance. The ResNet50-based MP-CNN model achieved the largest area under the receiver operating characteristic curve (AUROC) of 91.4% (95% confidence interval [CI] 90.9–91.8%). In the extra validation, the AUROC of the MP-CNN model was 91.3% (95% CI 90.7–91.9%) and 79.5% (95% CI 78.2–80.8%) for the extra-internal and external validation, respectively. The MP-based heatmap offered a logical decision-making direction through optimized visualization. This model holds potential as a screening tool for LSS diagnosis, offering an explainable rationale for its prediction.
A Novel Prognostic Model based on a Coagulation-related Gene Signature for Colorectal Cancer
Authors: Tang Yong , Hu Guangbing , Zhang Guiji , Wang Xiaobo , Guo Haiyang , Shu Jinghao , Chen Lin , Chen Qi , Gou Lei , Cui Yutong , Liang Shiqi , Wang Xianfei 
Published: May 2023

Abstract
Background Colorectal cancer (CRC) is a relatively common malignancy worldwide. The diagnosis of CRC at an early stage is difficult due to the lack of effective molecular biomarkers. Consequently, CRC is associated with a high mortality rate. Researchers have shown that coagulation-related factors promote or inhibit CRC progression. The purpose of this study was to identify coagulation-related genes (CRGs) with prognostic value that can potentially serve as therapeutic targets for CRC.Methods In this study, we used data of CRC samples from The Cancer Genome Atlas to identify differentially expressed CRGs. Next, the prognostic model was constructed using Cox proportional hazards regression analysis. The accuracy of the model and survival rate of patients with CRC were analyzed using receiver operating characteristic and Kaplan–Meier curves, respectively. In addition, a nomogram was developed to provide clinical guidance. Subsequently, the model was verified using data from the Gene Expression Omnibus. We evaluated the efficacy of immunotherapy and drug sensitivity using the Tumor Immune Dysfunction and Exclusion algorithms and the Genomics of Drug Sensitivity in Cancer, respectively. The expression of inhibin subunit beta B (INHBB) was knocked down using specific siRNA, and the oncogenic effect of INHBB in colon cancer cells was investigated in vitro.Results We identified seven prognostic CRGs, and constructed a model using five of those (TIMP1, MMP10, WDR72, INHBB, F2RL2). We used the median value to divide patients with CRC into high- and low-risk groups. In The Cancer Genome Atlas cohort, the survival time of patients in the latter group was longer, and the receiver operating characteristic area under curve was ≥ 0.6. The nomogram was successfully constructed. The results of the drug sensitivity analysis suggested that cisplatin, camptothecin, foretinib, tamoxifen, and vinblastine were more effective in the high-risk group versus the low-risk group; the inverse was observed for immunotherapy. Finally, knockdown of INHBB attenuated the proliferation, invasion, and migration of CRC cells in vitro.Conclusion We identified a novel CRG marker in CRC, which may be used as a predictive biomarker and lay the foundation for the personalized treatment of patients with CRC.
Protective Effect of Ginsenoside Rg5 on Hypoxia/Reoxygenation- Induced H9c2 Cardiomyocytes by Correcting Free Fatty Acids β- oxidation
Authors: Jiang Li. , Fang Wenjie , Zhang Wentong , Tu Yu , Shang Guangbin , Zhang Qiyun , Nie Peng , Yan Xiaojun , Liu Hongning , Xu Guoliang 
Published: May 2023

Abstract
Clinically, the in-hospital mortality rate of cardiogenic shock (CS) is approximately 50%. In CS, metabolic pathways in the body undergo “embryonal transformation,” in which metabolic processes transform free fatty acids (FFAs) to glucose. Shenfu injection (SFI) treatment has exhibited a positive effect on cardiogenic shock, and ginsenoside Rg5 (G-Rg5) is the anticardiogenic shock component of SFI. In this study, we aimed to investigate the myocardial protective effect and mechanism of G-Rg5 in myocardial energy metabolism, especially from the perspective of FFA β-oxidation, one of the most crucial lipid metabolism pathways. Cardiomyocytes were exposed to hypoxia-reoxygenation (H/R) and treated with G-Rg5. MTT analysis was used to determine the viability of H9c2 cardiomyocytes under different interventions with G-Rg5. The levels of lactate dehydrogenase (LDH) and FFA were detected using ELISA, and adenosine triphosphate (ATP) was determined using high-performance liquid chromatography (HPLC). Furthermore, the expression of NR4A1 was determined by RT-qPCR, and the levels of AMPKα, p-AMPKα, and GPX4 were detected by western blotting to explore the underlying mechanism. We observed that G-Rg5-protected H9c2 cardiomyocytes exhibited better FFA β-oxidation regulation, thereby producing an increased abundance of ATP. G-Rg5 may correct FFA β-oxidation by regulating the levels of NR4A1, AMPKα, p-AMPKα, and GPX4. Therefore, G-Rg5 is a promising drug for CS treatment.
From CAD to Plug &amp; Produce - A generic structure for the integration of standard industrial robots into agents
Authors: Nilsson Anders , Danielsson Fredrik , Svensson Bo 
Published: May 2023

Abstract
Industries of low batches or one-off manufacturing aim for automation that is competitive enough to adapt to new or modified products daily through in-house knowledge. A knowledge that focuses on manufacturing processes, not on machine function programming. To solve this a complete set of actions that utilize seamless data transfer from product design to a Plug & Produce automation concept is proposed together with a generic structure for the integration of standard industrial robots into agents. This structure enables agents to handle their local reference coordinate systems and locations relative to a global perspective. Seamless utilization of data from product designs to Plug & Produce will simplify and shorten the time of digital development through concurrently usable text-based and graphical configuration tools of a configurable multi-agent system. Needed data extracts directly from the product design as requirements of operational goals. Extraction of data from the product design, sequence of goals, and process plans, which are recipes of how to solve goals, can by this concept be configured by in-house knowledge that has the process knowledge but not necessarily programming competence.
The effect of psyllium on fasting blood sugar, HbA1C, HOMA IR, and insulin control: systematic review and dose-response meta-analysis of randomized controlled trials
Authors: Gholami Zeinab , Clark Cain C. T. , Paknahad Zamzam 
Published: May 2023

Abstract
There is equivocal evidence that psyllium can prevent or attenuate increases in fasting blood sugar. Therefore, this systematic review and meta-analysis sought to investigate the influence of psyllium on hemoglobin A1C (HbA1C), fasting blood sugar (FBS), insulin, and Homeostatic Model Assessment of Insulin Resistance (HOMA IR). We searched PubMed, ISI Web of Science (WOS), and Scopus for eligible publications, up to 15 July 2022, including randomized controlled trials (RCT) assessing the effect of psyllium on HbA1C, FBS, insulin, and HOMA IR levels in adults. Using a random effects model, we report the weighted mean differences (WMD) with 95% confidence intervals (CI).In this article, 19 RCT studies, consisting of 4100 participants, were included. Psyllium significantly decreased FBS, HbA1C, and HOMA IR levels, but not insulin levels, as compared to placebo (FBS: (weighted mean difference [WMD]: -6.89; 95% CI: -10.62, -3.16; p < .001), HbA1C: (WMD: -0.75; 95% CI: -1.21, -0.29; p < .001), HOMA IR: (WMD: -1.17; 95% CI: -2.11, -0.23; p < .05), and insulin: (WMD: -2.08; 95% CI: -4.21, -0.035; p > .05)). Subgroup analyses illustrated differences in the effects of psyllium on FBS: dosages less than and more than 10 g/d showed significant differences (p value < 0.05). However, it was not significant in intervention durations less than 50 days (p value > 0.05). For HbA1C: psyllium consumption less than 10 g/d (p value > 0.05) was non-significant. For HOMA IR and insulin: no significant changes were noted with psyllium consumption less than vs. more than 10 g/d. In conclusion, we found that psyllium could significantly decrease FBS, HbA1C, and HOMA IR levels, but not insulin levels, as compared to placebo.
Changes in Peripapillary Microvasculature and Retinal Thickness in the Fellow Eyes of Patients with Unilateral Retinal Vein Occlusion: An OCTA Study
Authors: Soliman Tarek Tawfik , Tohamy Soha Moussa , ElSaadani Ibrahim AbdELKhalek , Shahin Ahmed 
Published: May 2023

Abstract
Background: Retinal vein occlusion (RVO) is the second most common retinal vascular disease following diabetic retinopathy and is a frequent cause of significant visual loss and associated morbidity.
Aim and objectives: To assess peripapillary vessel density (VD) , retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC) in the fellow eyes of patients with unilateral retinal vein occlusion (RVO) (either CRVO or BRVO) using optical coherence tomography angiography (OCTA) and compare it with controls.
Subjects and methods: This is an observational study that will be conducted on (25) patients with unilateral RVO (either CRVO or BRVO) and (25) normal controls chosen from outpatient clinic.
Results: The RNFL thicknesses in the fellow eyes of RVO patients was significantly thinner than in normal controls .VD of radial peripappillary plexus and ganglion cell complex thickness were slightly lower than those of controls.
Conclusion: OCTA revealed that RNFL thickness in the fellow eyes of patients with unilateral RVO was significantly decreased, lower peripapillary VD and GCC thickness were also observed compared to healthy controls.
Facial Image Expression Recognition and Prediction System
Authors: Talukder Animesh , Ghosh Surath 
Published: May 2023

Abstract
Facial expression recognition system is an advanced technology that allows machines to recognize human emotions based on their facial expressions. We will use a dataset of human picture facial images in this research, which has more than 35500 facial photographs and represents seven different types of facial expression. To create our prediction model, we will use three different architecture models to create a system for predicting face expressions in people. We will analyze our data and make every effort to remove as much noise as we can before feeding that information to our model. We use the confusion matrix to assess the model's performance after it has been implemented effectively. To demonstrate the effectiveness of our model architecture, we will generate bar graphs and scatter plots for each model to display model loss and accuracy. The output of this model are visualize with actual class and predictive class and the result have graphical representation for each and every output facial Images which makes our recognition system user friendly.
Epidemiological, Clinical, and Pathological Characteristics of Invasive Breast Cancer in Bedouin and Jewish Women in southern Israel: A Retrospective Comparative Study
Authors: Shitrit Itamar Ben , Wang Ao , Ilan Karny , Agassi Ravit , Frech Safian abu , Vaynshtein Julie 
Published: May 2023

Abstract
Background: Invasive Breast Cancer (IBC) is a leading cause of cancer-related death among women in Israel, regardless of ethnicity. This study compared IBC epidemiological, clinical, and pathological characteristics in Bedouin and Jewish patients in southern Israel.
Methods: Medical records of 1514 Jewish and 191 Bedouin women with IBC treated at Soroka Medical Center between 2014-2021 were analyzed retrospectively. Baseline measures and tumor characteristics were compared between groups. Overall survival (OS) was analyzed using log-rank test. Multivariate analysis was performed using Cox proportional hazard model.
Results: Bedouins were diagnosed at a significantly younger age (median 48vs62 years, p<0.001), had a significantly larger tumor (median 2.5vs2.13cm, p<0.001), and significantly higher rate of metastasis (18.8%vs12.7%, p = 0.03). Interestingly, Bedouins had a lower death rate compared to Jews (20%vs30.9%, p = 0.029), but median OS showed no difference between groups. When comparing treatment options, both surgery (124.5vs29.6months, p<0.001) and radiation therapy were associated with better OS (109.5vs59.6months, p<0.001), while chemotherapy was associated with worse OS (95.5vs109.5months, p=0.001). In a multivariate analysis, Surgery and radiation therapy remained significant, while age, tumor size, triple negative status, and metastasis were associated with worse OS.
Discussion: Despite a previous study showing worse OS for Bedouins than Jewish patients, we did not find a similar trend. This is likely due to improved cancer screening and prevention in Bedouin patients as a direct result of increased number of community clinics in Bedouin settlements. Moreover, Bedouins' access to healthcare improved as their lifestyle transformed from semi-nomadic to more modernized.
Epigenic Regulated CENPA and IQGAP3 Identified as Ideal Early-Stage Hepatocellular Carcinoma Markers
Authors: Shen Junwei , Hu Jing , Zhuang Huaping , Deng Jiahe , Yang Xi , Xie Fandi , Liu Dingsheng , Li Yanfei 
Published: May 2023

Abstract
Backgrounds: Hepatocellular carcinoma is a type of liver cancer that has a high mortality rate and there is an urgently need to improve the prognosis and survival rates for patients with this disease. However, reliable prognostic or therapeutic markers for HCC is limited.
Results: Here, we conducted a gene expression analysis to identify candidate biomarkers that are highly expressed in tumor tissues but barely detectable in normal tissues. Among the 33 candidate genes identified, 14 were found to be significantly associated with patient survival. Further analysis revealed two highly sensitive and specific biomarkers, CENPA and IQGAP3, which were virtually undetectable in normal liver tissue but highly detectable in liver tumor tissue at both the protein and mRNA levels. Notably, they were all regulated by DNA methylation. Based on these findings, we established a new clinical classification method for hepatocellular carcinoma, which accurately stratifies patients into early or advanced stage tumors.
Conclusions: Our study not only identifies novel molecular markers for hepatocellular carcinoma, but also provides a promising approach for improving the diagnosis and treatment of this devastating disease.
Mesoscale/Microscale modelling for evaluation of wind energy potential and cost energy in developing country using a high-resolution grid: A case study in the northeastern region of Thailand
Authors: Tawinprai Supitcha , Polnumtiang Supachai , Suksomprom Panida , Waewsak Jompob , Tangchaichit Kiatfa 
Published: May 2023

Abstract
The high demand for electricity during the pandemic has increased electricity prices. Awareness of power generation from renewable sources has become a global commitment to improve environmental issues due to greenhouse gas emissions. Wind resource maps for the center of the northeastern region of Thailand are presented in this research. Wind energy potential maps were obtained by mesoscale (MC2) and microscale (Ms-Micro) wind flow modelling. The simulation results were validated using observations from the wind mast installed in the research area. Indicated that the mean wind speed at an elevation of 120 m (AGL) varies in range from 1.52 to 3.62 m/s, 2.49 to 3.29 m/s, and 2.26 to 3.42 m/s for Khon Kaen, Maha Sarakham and Roi Et site, respectively. The wind power estimation revealed that the Maha Salakham site could produce the largest energy of 17,804.16 MWh/year, in accordance with a capacity factor of approximately 21% and an LCOE value about 0.21 USD/kWh. Nevertheless, the information on wind potential, as displayed in this research, must be additionally considered for the monitoring and estimation of the performance of other types of wind turbines, the impact on the environment, and social acceptance in further research.
Comprehensive analysis and experiment of hypoxia and EMT-related genes in prognosis and immune response of glioblastoma
Authors: Xia Minqi , Tong Shiao , Gao Ling 
Published: May 2023

Abstract
Background: Tumor cells are commonly exposed to a hypoxic environment, which can easily induce the Epithelial-mesenchymal transition (EMT) of tumor cells, further affecting tumor proliferation, invasion, metastasis and drug resistance. However, the predictive role of hypoxia and EMT-related genes in glioblastoma (GBM) has not been investigated.
Methods ： Intersection genes were identified by Weighted correlation network analysis (WGCNA) and differential expression analyses, and a risk model was further constructed by LASSO and Cox analyses. Clinical, immune infiltration, tumor mutation, drug treatment, and enrichment profiles were analyzed based on the risk model. The expression level of the MDK gene was tested using RT-PCR, immunohistochemistry, and immunofluorescence. CCK8 and EdU were employed to determine the GBM cells' capacity for proliferation while the migration and invasion ability were detected by wound healing assay and Transwell assay, respectively.
Results: Based on the GBM data of TCGA and GTEx databases, 58 intersection genes were identified, and a risk model was constructed. The model was verified in the CGGA cohort, and its accuracy was confirmed by the ROC curve (AUC=0.807). After combining clinical subgroups, univariate and multivariate COX regression analyses showed that risk score and age were independent risk factors for GBM patients. Furthermore, our subsequent analysis of immune infiltration, tumor mutation, and drug treatment showed that risk score, high-and low-risk groups were associated with multiple immune cells, mutated genes, and drugs. Enrichment analysis indicated that the differences between high-and low-risk groups were manifested in tumor-related pathways, including PI3K-AKT and JAK-STAT pathways. Finally, in vivo experiments proved that the hypoxia environment promoted the expression of MDK, and MDK knockdown reduced the proliferation, migration, and EMT of GBM cells induced by hypoxia.
Conclusions ： Our novel prognostic correlation model provided more potential treatment strategies for GBM patients.
Application of Non-Linear Modelling with Uncertain Resource Limitations in the Optimization of Manufacturing and Production Dimensions Based on A Fuzzy Approach
Authors: Taghizadeh Houshang , Hajipirlu Mostafa Ziyaei 
Published: May 2023

Abstract
Currently, with regard to the increasing complexities in the industrial and organizational environments, the mathematical programming methods of the creation type used in the past do not meet the demands of the decision-makers of technical and managerial fields. As a result, making use of a combination of mathematical programming models and fuzzy set theory has led to creating further flexible methods and producing more reliable results for optimization problems. Thus, the main objective of applying the methods is to use the limited uncertainties in the decision-making model through the use of fuzzy logic. In the present article, a practical managerial case has been chosen to investigate how to obtain the optimum value for nonlinear programming problems using fuzzy techniques in models with uncertain resource constraints in the optimization of manufacturing and production dimensions. The modelling for this problem has led to creating a fuzzy nonlinear programming model and converting and solving it in the form of a particular model. Considering the findings of the optimum dimensions resulting from solving the converted fuzzy model in the manufacturing and production of a tool box ordered with the required constraints and conditions, it is clearly shown that the uncertain resource constraints have been suitably reflected in solving the problem, and the optimum solution has been obtained.