bluuebunny/crossref_metadata_2025_split huggingface dataset:
High expression of SHP2 predicts a promising prognosis in colorectal cancer
Authors: Liu Xibo , Li Mengyao , Chen Lirong , Wen Fei , Zheng Shu , Ge Weiting 
Published: June 2022

Abstract
Background
Src homology 2 domain-containing phosphatase 2 (SHP2) is hyper-activated in some solid tumors. Previous findings suggest that the expression of SHP2 in colorectal cancer (CRC) may be associated with prognosis. However, validation with large sample data is lacking.
Methods
Tissue microarrays containing 860 CRCs and 197 mucosal tissues adjacent to the tumors were constructed. Immunohistochemistry was used to evaluate the expression of SHP2. Differences between SHP2 expression and clinicopathological parameters were evaluated. Kaplan-Meier survival curves and log-rank tests were used to analyze the relationships between SHP2 expression and overall survival of patients. A Cox proportional hazard regression model was used for univariate and multivariate analyses of prognostic factors.
Results
SHP2 expression levels in CRCs tissues were significantly higher than those in adjacent mucosal tissues (P < 0.001). SHP2 expression was related to tumor differentiation, depth of invasion, distant metastasis, vascular tumor thrombus, lymph node metastasis, and TNM classification (P < 0.05). The prognosis of the high expression group of SHP2 was significantly better than that of the low expression group (P = 0.008). Univariate analysis showed that the expression level of SHP2 was a prognostic factor for CRC (P = 0.008). Multivariate analysis demonstrated that SHP2 remained an independent prognostic factor for CRC (P = 0.033).
Conclusion
The expression levels of SHP2 were significantly higher in CRC tissues than in adjacent normal tissues. High expression levels of SHP2 were associated with a promising outcome, suggesting that SHP2 may be a favorable prognostic indicator of CRC.
Ground water - surface water interaction and impact assessment, in the case of western Ziway catchment, in Ethiopia
Authors: Hayi Solomon Kassa , Tegegne Moges Animut , Jibril Assie Kemal 
Published: June 2022

Abstract
The goal of this research was to enhance the current understanding of the interaction of surface water-ground water and impact assessment using a numerical model. Initially, to measure the natural recharge of the aquifer and to model streamflow, the surface water hydrology of the sub basin was researched using the HEC-HMS (SMA)model. The ground flow mechanism was analyzed by using 3D numerical groundwater flow model (Processing Modflow Pro (Version 5.3.0.1)). The HEC-HMS(SMA) model was used to measure the recharge rate for the sub-basin in order to achieve a recharge. Model calibration was subsequently carried out using the process of trial-and-error calibration using groundwater contours formed from heads collected at 56 observation points. Therefore, the average RMSE for simulated hydraulic heads was approximately 20. 65m.Simulated water levels in the model were more sensitive to decreases in recharge values and sensitive to decreases in hydraulic conductivity values. However, relative to recharge and hydraulic conductivity, the model is not as sensitive to decreases or increases in pump age. According to the simulation Lakes and rivers are significant sources of aquifer recharge. Finally, the model's water budget results showed that groundwater recharge comprised 81.48%, through river leakage 3.28% and constant head was 15.24% of the total water input for the entire study region. Because of this, it can be noted that the surface water impacts to the water budget of the sub-basin.
Thermal Error Modeling of Electric Spindle Based on Particle Swarm Optimization SVM Neural Network
Authors: Li ZhaoLong , zhu wenming , Zhu Bo , Wang Baodong , Wang Qinghai 
Published: June 2022

Abstract
High-speed electric spindle is an important part of CNC machining equipment. The thermal displacement generated by the electric spindle during operation is the main reason that affects the machining stability and machining accuracy of the electric spindle. Compensating the thermal error of the high-speed electric spindle can effectively improve the CNC machining. The processing performance of the equipment. Therefore, it is particularly important to establish the accuracy of the thermal error prediction model. Taking the A02 high-speed electric spindle as the research object, ANSYS is used to analyze the thermal characteristics of the electric spindle, and the temperature and thermal displacement monitoring points of the electric spindle are arranged according to the simulation results, and the temperature and thermal displacement data of the monitoring points under different rotational speeds are collected; Using K-means to classify temperature measurement points, uses the grey relation analysis degree to determine the correlation between the temperature measurement point and the thermal displacement data, and selects 4 temperature sensitive points from 10 temperature measurement points. Finally, particle swarm optimization (PSO) is used to optimize the penalty factor and kernel function of support vector machine (SVM), and the PSO-SVM prediction model is established to compare with the neural network prediction model of SVM and genetic algorithm (GA) optimized SVM respectively. The results show that PSO-SVM has better robustness, stability and generalization ability.
Exergetic sustainability analysis of a naphtha-based combined cycle power plant (CCPP)
Authors: Arpit Sankalp , Das Prasanta Kumar , Dash Sukanta Kumar 
Published: June 2022

Abstract
In today’s scenario ensuring sustainability of energy system particularly in the field of power generation is a major concern, and in this regard exergy analysis is widely accepted tool. For this purpose, first a comprehensive performance is carried out between two gas turbine plants i.e. GT2 (case I) and GT1 (case II) using various exergy performance parameters. Further a comprehensive performance evaluation is carried out between three cases; GT2 (case I), GT1 (case II) and CCPP (case III) using different sustainability indicators such as exergy efficiency, waste exergy ratio, exergy destruction factor and recoverable exergy ratio. Results demonstrate that exergetic sustainability index of combined cycle power plant (CCPP) is 0.45 when compared with GT2 (0.29) and GT1 (0.28). The increased sustainability index is because of the incorporation of a bottoming cycle, which ultimately decreases waste exergy ratio and leads to an increase in exergy efficiency and sustainability index of CCPP.
Computational advantages in robotics by evaluating Newton-Euler equations with respect to a moving reference point in a non-inertial frame
Authors: Giessler Maximilian , Waltersberger Bernd 
Published: June 2022

Abstract
Maintaining stability while walking on arbitrary surfaces or dealing with external perturbations is of great interest in humanoid robotics research. Increasing the system's autonomous robustness to variety of postural threats during locomotion is the key despite the need to evaluate noisy sensor signals. The equations of motion are the foundation of all published approaches. In contrast, we propose a more adequate evaluation of the equations of motion with respect to an arbitrary moving reference point in a non-inertial reference frame. We use simulation results to compare our algorithm with established approaches and test it with physical robot data. Conceptual advantages are, e.g., getting independent of global positions and velocity vectors estimated by sensor fusions or calculating the imaginary zero-moment point walking on different inclined ground surfaces. Further, we improve the calculation results by using specific characteristics of physical robots and reducing noise amplifying methods in our algorithm.
Visual Concept of Game Heroic Education Based on Player-Centered Design
Authors: Mu'minin Amirul , Mutiaz Intan Rizky Mutiaz 
Published: June 2022

Abstract
A national hero represents a nation as a role model with heroic values that need to be introduced to Z-generation as students. The case study of this research is Himayatuddin Muhammad Saidi as, the 185th national hero from Indonesia, November 2019. The design process is carried out using the Player-Centered Design method, which is explained in terms of Mission Understanding Human Motivation, Implementing Game Mechanics, Manage, and Measure in usability testing. The visual concept of the game is sourced from Gen-Z responses by 73 respondents by assessing four-game designs, which ANOVA analyzed. The dominant preference is the strategy game genre with an average score (71.25), Action (69.94), RPG (67.09), and Adventure (63.87). Through research and experimentation, it was found that ten components make up a heroic game. Then usability testing was carried out with measurement results using a Likert scale and Nielsen's model by 25 students. The heroic game design has an average response of 4.45, i.e., 89% success, ready to be used by Gen-Z in Indonesia and on the International scale.
Prevalence of Liver Fibrosis in Hepatitis B Virus Infection Using Aspartate Aminotransferase to Platelet Ratio Index (APRI) Score at Rukunyu Hospital, Kamwenge District, South Western Uganda.
Authors: Nzaramba Daniel , Musinguzi Benson , Gyagenda Ivans , Ntemi John Lusoma , Kighoma Josephat , Sobere Patrick , Ssedyabane Frank 
Published: June 2022

Abstract
Introduction: Liver fibrosis (LF) is a crucial factor in predicting adverse liver outcomes including cirrhosis and hepatic decompensation in chronic hepatitis. In addition, liver fibrosis is important in determining whether, when, and how to initiate antiviral therapy. The degree of LF or cirrhosis is an independent factor to predict mortality in chronic hepatitis B patients. Due to the limitations associated with the current diagnostic test for LF histology, the aspartate aminotransferase-to-platelet ratio index (APRI), has been suggested to identify patients with HBV-related liver fibrosis.Objective: This study aimed at assessing the prevalence of liver fibrosis in hepatitis B using Aspartate Aminotransferase to Platelet Ratio index (APRI) score and its associated factors among patients attending Rukunyu Hospital, Kamwenge District, South Western Uganda.Materials and methods: We recruited a total of 163 respondents, after informed consent. Blood was collected from them and was used for AST and complete blood count from which a platelet count was obtained. APRI score was calculated using the formula: APRI = AST (U/L)/(upper limit of the normal range) ×100/platelet count (109 /L). An APRI score of 0.5 and above was considered as an indicator of liver fibrosis.Results: Out of 163 study respondents, 15(9.2%) had APRI score of > 0.5, which was indicative of liver fibrosis, with those in age bracket 40–59 years 8(53.3%), male 9(60.0%), not employed 10(66.7%), Christians 10(66.7%), having household monthly income of 50,000-200,000/= 10(66.7%), living with their spouse and children 14(93.3%), drinking alcohol 9(60.0%) and smoking 9(60.0%) being more affected. On bivariate analysis, age group 60–75 years (P = 0.008, OR: 0.109, 95%CI 0.06–0.742), drinking alcohol (P ≤ 0.001, OR: 6.155, 95%CI 2.029–18.67) and smoking (P ≤ 0.001, OR: 72.5, 95%CI 15.53-338.45) had statistically significant association with liver fibrosis. On multivariate logistic regression analysis, only smoking (P ≤ 0.001, OR: 55.563, 95CI 6.78-454.887) had statistically significant association with liver fibrosis.Conclusion: The prevalence of liver fibrosis was high (9.2%) and there is a need for early screening of liver fibrosis in Hepatitis B patients to prevent further damage.
Homocysteine and Nutritional Biomarkers In Cognitive Impairment
Authors: Bhargava Seema , Sethi Prahlad , Batra Anuradha , Choudhury Sangeeta , Takkar Parul , Manocha Anjali , Kankra Mamta , Singla Parul 
Published: June 2022

Abstract
Background: Cognitive impairment is a progressive disorder that affects the aging population. With the increase in the mean age of our population, it is becoming a public health problem. Homocysteinemia has been implicated in cognitive impairment. While it is modulated by vitamins B12 and folate, it acts through MMPs 2 and 9.Objectives: To assesses the relationship of cognitive impairment with homocysteine, B12, folate, and MMPs 2 and 9, with the intention of detecting cases of mild cognitive impairment which are potentially reversible.Materials and Methods: Blood samples were drawn from 73 enrolled subjects, with and without cognitive impairment on basis of Montreal cognitive assessment (MoCA) score <25 or >25, respectively. Homocysteine, B12, folate, and MMPs2 and 9 were estimated. Correlation between MoCA score and these parameters was elucidated.Results: After adjusting for age and sex, homocysteine was the only significant independent predictor of MoCA score. Cut off of homocysteine for prediction of MoCA <25 was derived at 13.5 µmol/L (PPV=59.6%; NPV=79.2%; Sensitivity=84.8%; Specificity=50%). The equation derived for calculation of MoCA score from homocysteine is: MoCA score = 32.893 + [(-0.223)(homocysteine in mmol/L)] Conclusions: Homocysteine >13.5mmol/L predicts low MoCA (<25) with 84.8% sensitivity and 50% specificity. So patients with a Hcy >13.5mmol/L should be carefully evaluated for the presence/progression of dementia and administered vitamins of the B group as a measure towards amelioration of the modifiable risk factor of cognitive decline, i.e. homocysteinemia.
Poorly Differentiated Cluster Grade-A Vital Predictor for Lymph Node Metastasis and Oncological Outcomes in Patients with T1 Colorectal Cancer: A Retrospective Study
Authors: Ji Xiaolin , Kang Mei , Zhao Xianzhi , Li Xiaoyu , Guo Yingjie , Xie Ping , Yu Yanan , Tian Zibin 
Published: June 2022

Abstract
Purpose T1 colorectal cancers have a low lymph node metastasis rate and good prognosis. Thus, endoscopic resection is an attractive choice. This study aimed to describe the value of poorly differentiated cluster grade in identifying endoscopically curable T1 colorectal cancers.Methods We included 184 T1 colorectal cancer patients who underwent curative resection. Univariate and multivariate logistic regressions were used to identify lymph node metastasis predictors. The Akaike information criterion was used to determine whether poorly differentiated cluster grade was the best predictor. Backward regression was used to screen the variables. Survival analyses were conducted to determine the prognostic predictive power of poorly differentiated cluster grade. Correlations among predictors were also investigated.Results Poorly differentiated cluster grade was an independent predictor for lymph node metastasis (adjusted odds ratio [OR] G 3 = 0.001; 95% confidence interval [95% CI] G 3 = <0.001, 0.139) in T1 colorectal cancer patients; moreover, it had the best predictive value (AIC = 61.626) among all indicators. It was also screened for inclusion in the predictive model. Accordingly, a high poorly differentiated cluster grade independently indicated shorter overall survival (hazard ratio [HR] G 2 = 4.315; 95% CI G 2 = 1.506, 12.568; HR G 3 = 5.049; 95% CI G 3 = 1.326, 19.222) and disease-free survival (HR G 3 = 6.621; 95% CI G 3 = 1.472, 29.786). Conclusions Poorly differentiated cluster grade is a vital reference to manage T1 colorectal cancer. It could serve as an indicator to screen endoscopically curable T1 colorectal cancers.
Evaluation of pollution caused by microplastics particles in municipal wastewater and sewage sludge (Case study: Al-Ghadir town, Kerman)
Authors: Mahani Afsaneh Mortezazadeh , Nasrabadi Touraj , Daryabeigi Ali 
Published: June 2022

Abstract
With the increase in the production of plastics and their destructive effects on water quality, soil and the health of living organisms, It is necessary to know these materials and their production sources. Meanwhile, wastewater treatment plants are one of the main sources of discharge of microplastics into the environment. In the present study, the frequency of microplastics in wastewater and sediments of Kerman were evaluated. For this purpose, 36 samples of wastewater and sediments are taken simultaneously per month that in each sample, about 30 liters of wastewater was collected from the exhausting of initial deposition in 2021–2022. The percentage of organic materials in these samples was measured by using the hydrogen peroxide digestion method and the amount of microplastics was extracted and analyzed by a density-based separation method with sodium iodide salt. Investigation of microplastic contamination in wastewater sediments was done by the Van Veen Grab method. Separation of samples was performed by using hydrogen peroxide and the number of separated samples were determined by the amount of particles per 100 gram of dry sediment. Then the microplastics were examined in terms of color, shape and size. The results demonstrate that in samples of Kerman wastewater, 3576 microplastics were found, which about 98% were fiber types and about 2% were particle type, the dimensions of most of these particles were between 37–300 µm. In addition, 90% of microplastics found in wastewater were blue. There were about 4864 microplastics in all sediment samples. Of these, about 98% were related to fibers, 18% particles and 0.001% membranous particles. Sediment grading also demonstrate that the particle size of 100–250 µm had the highest frequency with 39%. In this investigation, the frequency of separated microplastics in red, black and blue were 30%, 26% and 22%, respectively. Based on the results of the analysis of the questionnaires, it was concluded that it’s not much needed to study microplastics and their sources of production and dissemination. The present study can provide useful information to get more acquainted with the types of microplastics sources and their classification, to control and monitor these pollutants in municipal wastewater.
The Dow Jones Industrial Average (the DJIA) is predictable.
Authors: Jiang Yusen 
Published: June 2022

Abstract
Trading days from January 29, 2021 to October 8, 2021, for a total of 220 days of data, divided into 22 cycles each with ten days. The daily closing movements is M4 [(current day's closing - previous day's closing)/ previous day's closing] ×100. The M4 of each cycle and it’s predicted value (MK) obtained four days ago are tested by the Pearson correlation test and two-tailed significance test to prove that the MK is highly correlated with the M4, thus the experimentally derived prediction is informative. The experimental result: The 19th cycle (15th Oct - 28th Oct), M4 and MK, the Pearson correlation in the range 0.6-0.7, Two-tailed Significance P<0.05; The 7th cycle (27th April - 10th May), the 14thcycle (5th August - 18th August), the 17th cycle (17th Sept - 30th Sept), M4 and MK of these three cycles, the Pearson correlation in the range 0.7-0.8, P<0.01. Other eighteen cycles of M4 and MK, the Pearson correlation in the range 0.8-1.0, P<0.01. The raw data for this article are the daily open, high, low, and close of the DJIA, the MK can be obtained form the raw data with special arithmetic.
Collagen I is expressed by hepatocytes through activation AIM2/ASC/caspase-1 pathway
Authors: Sheng Qiongyu , He Qin , Situ Bing , Pan Xingfei 
Published: June 2022

Abstract
Background: Liver fibrosis is a diffuse excessive deposition of extracellular matrix (especially collagen) in the liver. It is a repair response of the body to chronic liver injury. AIM2 regulates the activation of caspase-1 and thus promotes the maturation and secretion of the cytokine precursors of pro-IL-1β and pro-IL-18. It also regulates caspase-1-dependent pyroptosis. However, it is unclear whether AIM2 is involved in the pathogenesis of liver fibrosis. Methods: In the present study, CCK-8 was used to measure cell viability. Evaluation of functional AIM2-induced ECM and fibrosis using protein blotting and quantitative real-time polymerase chain reaction. Validation of the effect of the AIM2/ASC/caspase-1 signalling axis on liver fibrosis using ASC siRNA and caspase-1 inhibitors. Overexpression of AIM2 in cells using transient techniques to evaluate the extent of collagen and focal death. Cells with COL1A1 (pGL3-COL1A1) were constructed and characterised. Activation of its activity by AIM2 was measured in vitro. 2 Results: Absent in melanoma 2 (AIM2) is a pro-inflammatory cytokine that plays a key role in inflammation. However, the role of hepatocytes in AIM2 expression remains unclear. In the present study, we demonstrate that AIM2 increases COL1A1 expression via the COL1A1 promoter. AIM2 increases COL1A1 expression in a dose-dependent manner. Furthermore, we demonstrated that AIM2 failed to cause an increase in COL1A1 expression after inhibition of ASC and caspase-1 expression in HepG2 cells. These results suggest that the AIM2/ASC/caspase-1 signalling axis can induce liver fibrosis in HepG2 cells. Conclusion: Collagen I is expressed by hepatocytes through activation AIM2/ASC/caspase-1 pathway.
Clinical exploration of safety and efficacy of Polyherbal oil as a topical application in Diabetic non healing wounds and ulcers compared with Betadine10% ointment
Authors: Gharpure Milind , Varma Nikhil , Rao Gopal , Vekariya Sanjay , Mote Ravindra 
Published: June 2022

Abstract
Background ;
This study relates to composition for wound healing. More particularly, the invention pertains to wound healing properties of polyherbal composition on Non healing wounds and ulcers. Composition influenced by ancient texts from traditional Ayurved treatment.
Hypothesis:
This study was designed to evaluate the efficacy and safety of polyherbal oil in comparison with betadine 10% ointment in subjects suffering from diabetic non-healing wound. The primary objective of this study was to evaluate the efficacy of polyherbal oil in reduction of wound size and granulation in diabetic wound. Secondary Objective was to evaluate the effect of polyherbal oil in reduction of exude type, exudate amount, pain, edema and proliferation of epithelialization and monitor the safety profile of polyherbal oil.
Study Design:
It was a Multicenter, randomized, open label, parallel-group, comparative, prospective clinical study to evaluate the efficacy and safety of polyherbal oil compared with betadine 10% ointment in subjects with diabetic non-healing wound.
Method
In the study, patients were randomized in the ratio of 1:1. All the subjects were given treatment for dressing with the topical application of Polyherbal oil ≤ 5ml per application or Betadine 10% ointment depending on wound size once on alternate day as per randomization. The treatment continued for 45 days with periodic follow-up on 9th, 18th, 27th, 36th and 45th day from start of treatment.
Results
The current study showed the Percentage reduction in wound size from baseline to end of study treatment for Polyherbal oil (n = 33) and Betadine 10% ointment (n = 34) as (-49.65% and − 35.65) respectively and Percentage reduction in granulation from baseline to end of study treatment for Polyherbal oil (n = 33) and Betadine 10% ointment (n = 34) as (-45.61 and − 32.99) respectively. There were 15 clinical adverse events reported (Polyherbal oil: 08, Betadine ointment 10%: 07) which were mild in nature.
Conclusion
Polyherbal oil proved to have marked superiority in all primary and secondary efficacy endpoints and it is safe and efficacious when compared with Betadine ointment 10%.