bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Parecoxib Sodium Combined with Dexmedetomidine on Analgesia and Postoperative Pain of Patients Undergoing Hysteromyomectomy
Authors: Wang Xiaowei , Chen Yongxue , Zhao Yonglei , Wang Zhigang , Zhao Lu , Hou Junde , Liu Fei
Published: October 2022

Background. Propofol combined with remifentanil is the most common anesthesia method in laparoscopic hysteromyomectomy. However, whether the combination of the two is helpful to patients undergoing hysteromyomectomy still requires unclear. Objective. To determine the effect of parecoxib sodium combined with dexmedetomidine on analgesia and postoperative pain of patients undergoing hysteromyomectomy. Methods. Altogether, 72 patients receiving hysteromyomectomy in our hospital from February 2017 to March 2019 were enrolled. Among them, 35 patients treated with parecoxib sodium were assigned to the control group, while the rest 37 patients treated with parecoxib sodium combined with dexmedetomidine were assigned to the research group. The following items of the two groups were evaluated: visual analog scale (VAS) score, mechanical pain threshold (MPT), Riker sedation-agitation scale (RSAS) score, and expression of serum cortisol and melatonin. Results. At 12 and 24 h after operation, the VAS score of the research group was lower than that of the control group (

P
<
0.05

), and at 6, 12, and 24 h after operation, the MPT of the research group was notably higher than that of the control group (

P
<
0.05

). In addition, at 10 min after extubation, the research group got notably lower RSAS score than the control group (

P
<
0.05

). Before extubation and at 20 min after extubation, the research group showed notably higher melatonin expression and notably lower serum cortisol expression than the control group (both

P
<
0.05

). Conclusion. Parecoxib sodium combined with dexmedetomidine can effectively control the postoperative pain of patients undergoing hysteromyomectomy, reduce the incidence of agitation, and effectively control serum cortisol and melatonin in them.
[Retracted] Peelu (Salvadora oleoides Decne.): An Unexplored Medicinal Fruit with Minerals, Antioxidants, and Phytochemicals
Authors: Razzaq Kashif , Sadiq Muhammad Muzzammal , Ashraf Hashir , Naz Ambreen , Hussain Abid , Maqbool Amir , Altaf Muhammad Tanveer , Ullah Sami , Akhtar Gulzar , Faried Hafiz Nazar , Amin Muhammad , Rajwana Ishtiaq Ahmad , Khan Ahmad Sattar , Alfarraj Saleh , Ansari Mohammad Javed , Saleem Ammara
Published: October 2022

The Peelu (Salvadora oleoides Decne.) fruit is well known for its nutritional and medicinal values. The current study analyzed the chemical composition of Salvadora oleoides fruit. Fresh Peelu fruits were harvested, and physicochemical properties, proximate composition, macro‐ and micronutrients, and phytochemical properties were determined. Moreover, ethanol and methanol fruit extract was analyzed for physicochemical properties. The Peelu fruit seemed to be a potential source of essential macro‐ ((nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg)) and micronutrients (zinc (Zn), manganese (Mn), iron (Fe), and copper (Cu)). The fruit had significant biochemical properties (total soluble solids (TSS), total acidity (TA), and TSS : TA ratio) with appreciable moisture, crude fiber, and ash contents. The fruit extracts demonstrated significantly higher antioxidants and phenolics, ascorbic acid contents, and carotenoids. Phytochemical screening of fruit revealed the presence of coumarins, flavonoids, phlobatannins, tannins, and terpenoids. Physicochemical and sensory evaluation of extracts indicated its potential for further in vivo study trials. The Peelu fruit was found to be a good source of mineral nutrients, proximate contents, vitamins (ascorbic acid and carotenoid), phytochemicals (total phenolic sand antioxidant contents), and pharmaceutically important metabolites that can be used as functional drink.
The Diagnostic Value of Neutrophil to Lymphocyte Ratio as an Effective Biomarker for Eye Disorders: A Meta‐Analysis
Authors: Shirvani Mohammad , Soufi Farhad , Nouralishahi Alireza , Vakili Kimia , Salimi Amirhosseinn , Lucke-Wold Brandon , Mousavi Farideh , Mohammadzadehsaliani Saman , Khanzadeh Shokoufeh
Published: October 2022

The neutrophil to lymphocyte ratio (NLR) reflects a dynamic relationship between the innate (neutrophils) and adaptive (lymphocytes) cellular immune response. This systematic review and meta‐analysis was conducted to critically evaluate the literature regarding the use of the NLR as a reliable means to detect several ocular disorders. Our study was registered with the PROSPERO (ID: CRD42022314850). Three databases, including PubMed, Embase, Scopus, and the Web of Science, were searched on September 9, 2022, with no restrictions on the article’s language. Finally, 32 articles were recognized as eligible for our meta‐analysis. We found that patients with eye diseases had significantly elevated levels of NLR in comparison to healthy controls (SMD =0.53, 95% CI =0.35‐0.71, P < 0.001). In subgroup analysis, patients with keratoconus (SMD =0.69; 95% CI =0.33‐1.05, P < 0.001), glaucoma (SMD =0.56, 95% CI =0.25‐0.87, P < 0.001), pterygium (SMD =0.14; 95% CI =0.01‐0.26, P < 0.001), and idiopathic epiretinal membrane (SMD =0.14; 95% CI =0.01‐0.26, P < 0.001) had higher levels of NLR compared to healthy controls. However, NLR levels of patients with dry eye disease were similar to healthy controls (SMD =0.32, 95% CI = ‐0.49‐1.13, P = 0.435). It can be said that NLR is a valuable marker of systemic inflammation, which is significantly increased in many eye disorders, suggesting that inflammation plays a key role in the pathophysiology of these diseases.
Principal Covariates Regression for Causal Case Studies
Authors: Ding Weibin , Li Jie , Jin Dian , Kong Jiayang
Published: October 2022

Researcher and analyst are often interested in estimating the effect of an intervention or treatment, which takes place at the aggregate level and affect one single unit, such as country and region. Thus, comparative case studies would be their first choice in practice. However, comparative case studies could fail to yield an estimate in the effect that is unbiased and consistent, as in some contexts; there are not suitable control units that are similar to the treated. The econometric literature has taken synthetic control methods and panel data approaches to this problem. In this study, we developed a principal covariate regression estimator, which exploits the cross‐sectional correlation, as well as the temporal dependency, to reproduce the dynamics of the treated in the absence of an event or policy. From a theoretical perspective, we introduce the statistical literature on dimensional reduction to make a causal inference. From a technique perspective, we combine the vertical regression and the horizontal regression. We constructed an annual panel of 38 states, to evaluate the effect of Proposition 99 on beer sales in California, using the principal covariate regression estimator proposed here. We find that California’s tobacco control program had a significant negative and robust effect on local beer consumption, suggesting that policymakers could reduce the use of cigarette and alcohol in the public using one common behavioral intervention.
The Percutaneous Endoscopic Lumbar Debridement and Irrigation Drainage Technique for the First-Stage Treatment of Spontaneous Lumbar Spondylodiscitis: A Clinical Retrospective Study
Authors: Yang Yang , Wang Jingming , Chang Zhengqi
Published: October 2022

Background. Minimally invasive or open surgery is contentious in the treatment of spondylodiscitis, therefore finding a balance between the two is urgently needed. In this study, we propose a new treatment paradigm for treating spontaneous lumbar spondylodiscitis by percutaneous endoscopic lumbar debridement and irrigation drainage (PELDID). Then, the Pola classification was used to guide subsequent treatment. Methods. From November 2017 to April 2019, this study collected data on 16 patients with lumbar spondylodiscitis who were surgically treated utilizing this treatment paradigm in our department. Clinical effectiveness was determined using the visual analogue scale (VAS), the Oswestry Disability Index (ODI), the MOS 36-item short-form health survey (SF-36), and Kirkaldy-Willis criteria. Results. All 16 patients completed the treatment using the above paradigm and were followed up for

28.13
±
10.15

months. The preoperative Pola classification is as follows: 7 cases of type A, 3 cases of type B, and 6 cases of type C. After the first-stage surgery, the evaluation results of Pola classification were as follows: 8 cases of type A, 8 cases of type B, and 0 cases of type C. Four patients received second-stage surgery with internal fixation through the paravertebral multifidus space approach and intervertebral bone graft fusion through the transforaminal approach, and the reoperation rate was 25% (4/16 cases). The Visual analogue scale (VAS), Oswestry Disability Index (ODI), and SF-36 score all improved significantly from

2.43
±
0.89
 
to
 
0.18
±
0.40
,
from
 
77.31
%
±
11.15
%
to
 
16.93
%
±
5.45
%
,
and
 
from
 
18.34
±
7.47
 
to
 
80.3
±
15.36

. The CRP and ESR decreased dramatically from

49.61
±
48.84
 
to
12.50
±
12.18

and from

65.56
±
26.89
 
to
 
29.68
±
20.68

. There were no recurrences of infection in our study. Conclusions. The paradigm of the first-stage PELDID technique combined with the Pola classification system to guide the second-stage treatment for spontaneous spondylodiscitis is a novel and effective strategy for treating spontaneous spondylodiscitis.
Protective Effect of Dietary Polysaccharides from Yellow Passion Fruit Peel on DSS-Induced Colitis in Mice
Authors: Bueno Laryssa Regis , da Silva Soley Bruna , Abboud Kahlile Youssef , França Isabella Wzorek , da Silva Karien Sauruk , de Oliveira Natalia Mulinari Turin , Barros Juliana Santos , Gois Marcelo Biondaro , Cordeiro Lucimara Mach Côrtes , Maria-Ferreira Daniele
Published: October 2022

Inflammatory bowel disease (IBD) is a complex inflammatory disorder characterized by chronic and spontaneously relapsing inflammation of the gastrointestinal tract. IBD includes two idiopathic disorders: Crohn’s disease (CD) and ulcerative colitis (UC). In particular, UC causes inflammation and ulceration of the colon and rectum. There is no cure for UC. The pharmacological treatment is aimed at controlling and/or reducing the inflammatory process and promoting disease remission. The present study investigated the possible protective effects of soluble dietary fiber (SDF) isolated from yellow passion fruit peel in the dextran sulfate sodium- (DSS-) induced colitis model in mice, induced by 5% of DSS. The animals were treated with SDF (10, 30, or 100 mg/kg (po)), and the disease activity index was monitored. Colon tissues were collected, measured, and prepared for oxidative stress, inflammation, and histology analysis. SDF improved body weight loss, colon length, and disease activity index and prevented colonic oxidative stress by regulating GSH levels and SOD activity. Furthermore, SDF reduced colonic MPO activity, TNF-α, and IL-1β levels and increased IL-10 and IL-6 levels. As observed by histological analysis, SDF treatment preserved the colonic tissue, the mucus barrier, and reduced inflammatory cell infiltration. Although this is a preliminary study, taken together, our data indicate that SDF may improve the course of DSS-UC. More studies are needed to explore and understand how SDF promotes this protection.
Robust Extreme Learning Machine Using New Activation and Loss Functions Based on M-Estimation for Regression and Classification
Authors: Khan Adnan , Ali Amjad , Islam Naveed , Manzoor Sadaf , Zeb Hassan , Azeem Muhammad , Ihtesham Shumaila
Published: October 2022

This paper provides an analysis of the combining effect of novel activation function and loss function based on M-estimation in application to extreme learning machine (ELM), a feed-forward neural network. Due to the computational efficiency and classification/prediction accuracy of ELM and its variants, they have been widely exploited in the development of new technologies and applications. However, in real applications, the performance of classical ELMs deteriorates in the presence of outliers, thus, negatively impacting the precision and accuracy of the system. To further enhance the performance of ELM and its variants, we proposed novel activation functions based on the psi function of M and redescend the M-estimation method along with the smooth

l

2-norm weight-loss functions to reduce the negative impact of the outliers. The proposed psi functions of several M and redescending M-estimation methods are more flexible to make more distinct features space. For the first time, the idea of the psi function as an activation function in the neural network is introduced in the literature to ensure accurate prediction. In addition, new robust

l

2 norm-loss functions based on M and redescending M-estimation are proposed to deal with outliers efficiently in ELM. To evaluate the performance of the proposed methodology against other state-of-the-art techniques, experiments have been performed in diverse environments, which show promising improvements in application to regression and classification problems.
[Retracted] To Analyze the Mechanism of SalB Regulating SIRT1 to Inhibit NLRP3 and Its Ameliorative Effect on Tubulogastric Junction Tumor Lesions Complicated with Myocardial Injury
Authors: Wang Guo-Ping , Guo Zheng
Published: October 2022

The objective of this research is to investigate the mediating impact of salvianolic acid B (SalB) on SIRT1 signaling pathway and the mechanism by which it inhibits Nod‐like receptor protein 3 (NLRP3), as well as to examine how SalB affects myocardial injury brought on by tumor lesions at the junction of the tube and the stomach. Through the establishment of the integration of a stomach tube tumor lesion rats combined with the experimental rat model, this study establishes the normal group, model group, and different SalB dose groups. For each group of cells, cell activity and cell apoptosis were determined and compared using colorimetry and enzyme‐linked immunosorbent method about lactate dehydrogenase (LDH). Interleukin‐1 beta levels are measured. DCFH‐DA fluorescent probe was applied to identify intracellular “reactive oxygen species” (ROS). “Western blot” was used to determine NLRP3, caspase‐1, and apoptosis‐related spotted protein (ASC) in each group of cells. And SIRT1 signaling pathway related to SIRT1, phosphorylated AMP protein‐activated kinase α (P‐AMPK α), AMP protein‐activated kinase α (AMPKα), and “peroxisome‐proliferator‐activated receptor γ coactivator 1α (PGC‐1α) protein expression” are used. According to the final findings, SalB mediated the SIRT1 signaling pathway and had a beneficial impact on the upregulation of SIRT1, P‐AMPK/AMPK, and PGC‐1 protein expressions. SalB positively affects the downregulation of NLRP3 inflammasome‐related proteins. Caspase‐1 and ASC protein expression suggesting that SalB may inhibit the activation of NLRP3 inflammasome induced by oxidative stress by activating SIRT1/AMPK/PGC‐1α signaling pathway. This plays an antimyocardial injury effect.
[Retracted] HPV‐16 Expression and Loss of Cell Differentiation in Primary Bladder Tumors
Authors: Pang Lei , Ding Zijun , Li Fei , Chai Hongqiang , Wu Ming , Shao Jinkai
Published: October 2022

Objective. Primary bladder tumors have a high degree of malignancy. To investigate the expression of human papillomavirus type 16 (HPV‐16) in primary bladder tumors and the loss of cell differentiation and to explore the significance of HPV‐16 detection, it is expected to be a disease. Treatment provides a theoretical basis. Methods. Fifty‐seven patients with primary bladder tumors admitted to our hospital from January 2019 to January 2022 were selected as the research subjects, and they were divided into HPV‐related groups according to the human papillomavirus (HPV) infection status (n = 28) and HPV unrelated group (n = 29). The general data of patients were collected, the expression of HPV‐16 in bladder tissue samples was detected, and the correlation between pathological parameters and HPV‐16 expression was analyzed. Results. Among HPV subtypes, HPV 16 subtype accounted for the highest proportion, followed by HPV‐18 and HPV‐6 subtypes; there was no significant difference in tumor stage (stage 1, stage a, stage 2a) between the HPV‐related group and the HPV‐unrelated group (stage 1, stage a, and stage 2a). P > 0.05); there was no significant difference in postoperative pathological expression (high expression and low expression) of patients (P > 0.05); there was no statistical difference in age and gender between HPV‐related and HPV‐unrelated groups (P > 0.05), HPV‐related group and HPV‐unrelated group compared daily regular drinking and smoking status, the difference was statistically significant (P < 0.05); HPV‐16 expression was not correlated with tumor differentiation degree and age of patients (P > 0.05); the area under the curve (AUC) of HPV‐16 for judging primary bladder tumor expression and cellular molecular deletion was 0.891, with a sensitivity of 83.94% and a specificity of 88.57%. Conclusion. HPV‐16 is an upper, expressed in primary bladder tumors and will participate in the differentiation and loss of cells, which can provide effective guidance and basis for the diagnosis of primary bladder tumors, which is an important factor for judging the pathological stage and prognosis of patients and can provide a theoretical reference for the formulation of therapeutic measures.
Shrinkage and Warpage Mechanism of Overflow Water-Assisted Injection Molding Short Fiber-Reinforced Polymers
Authors: DongYou Huang , Hesheng Liu , TangQing Kuang , Wei Zhang
Published: October 2022

Experimental study on the shrinkage of short fiber-reinforced polymer injection molding products during the overflow water-assisted injection molding (OWAIM) process, and and analysis of the influence of process parameters with the computer-aided engineering (CAE) were performed. The investigation shows that the shrinkage of the product increases linearly along the melt flow with the increase of water injection pressure. The shrinkage of products is on the rise with the increase of water injection pressure, melt temperature, and mold temperature, but it is decreasing with the increase of flow delay time and fiber mass content. Based on the Taguchi orthogonal array design, an experiment study was conducted to characterize the effect of processing parameters on the shrinkage of OWAIM pipe. The results show that decreasing the mold temperature and increasing the fiber mass content can effectively reduce the shrinkage and warpage of products, thus improving the product quality.
Friction and Wear Response of Friction Stir Processed Cu/ZrO2 Surface Nano‐Composite
Authors: Kumar Harikishor , Prasad Rabindra , Kumar Parshant , Hailu Solomon Aynalem
Published: October 2022

The present work aims to develop Cu/ZrO2 surface composite by friction stir processing and analyse the effect of zirconia incorporation on microstructure, mechanical, and tribological behaviour of developed copper matrix composite. Microstructural observations indicated that grains were equiaxed and fine in the stir zone of the composite and zirconia particles were uniformly dispersed in the copper matrix with excellent bonding. The test results for mechanical and wear behaviour showed increment in hardness and wear resistance as compared to copper which may be because of the effect of zirconia presence and grain refinement. The fabricated composite displayed higher value of average friction coefficient in comparison to as received copper. The worn surface observed by SEM revealed the predominance of adhesion and delamination wear mechanism in base copper.
Role of GLI1 in Hypoxia-Driven Endometrial Stromal Cell Migration and Invasion in Endometriosis
Authors: Wang Lili , Liang Jiaxin , Bi Siyi , Li Yixuan , Zhang Wei , Xiwen Wang , Liu Yi , Liu Hengwei
Published: October 2022

Endometriosis (EMs) is a benign disease with the characteristics of invasion and migration, and its pathogenesis is related to hypoxia. The abnormal activation of glioma-associated oncogene homolog 1 (GLI1) plays an important role in the metastasis of multiple types of tumors. However, it is not clear whether GLI1 regulates the migration and invasion of endometrial stromal cells under hypoxic condition. Therefore, we use comprehensive analysis to explore the effects of hypoxic on GLI1 expression and their regulation on the pathogenesis of EMs. In this study, from immunohistochemistry, RT-qPCR, and western blot analysis, we discovered that the expression of hypoxia-induced factor-1α (HIF-1α) and GLI1 was significantly increased in eutopic and ectopic endometrium of patients with EMs. In human primary eutopic endometrial stromal cells (ESCs), hypoxia can increase the expression of HIF-1α and GLI1 in a time-dependent manner. And hypoxia could promote GLI1 expression in a HIF-1α-dependent manner. Moreover, data from transwell assays manifested that the migration and invasion ability of ESCs was significantly enhanced under hypoxia, and this effect could be reversed by silencing GLI1. Furthermore, the expression of MMP2 and MMP9 was also increased under hypoxia, while silencing GLI1 could reverse this event. In summary, our research verified that GLI1, which activated by hypoxia, may contribute to the migration and invasion of ESCs through the upregulation of MMP2 and MMP9 and can be a novel therapeutic target in EMs.
The Quality Evaluation and Knowledge System Construction of Hierarchical Teaching in the Curriculum Are Based on the Grey Association Method
Authors: Yan Ranran , Xie Ying , Zhao Yongchao
Published: October 2022

Based on the theory of grey correlation, the hierarchical teaching quality evaluation and knowledge system structure of the curriculum are established. Using the optimal clustering method, the teaching quality assessment and knowledge system construction at the curriculum level were obtained, and the grey correlation method was used to study the teaching at the course level. Through the evaluation of the discipline level and the discipline level and the construction of the knowledge system, the evaluation of the discipline level and the construction of the discipline knowledge system are achieved. The study found that the correlation between the curriculum grading teaching and the establishment of the knowledge system using the grey correlation method was higher than 0.900, the evaluation and knowledge system of the curriculum grading teaching were better evaluated, and the selection and retesting of evaluation indicators exceeded 0.700.
The Addition of ROTEM Parameter Did Not Significantly Improve the Massive Transfusion Prediction in Severe Trauma Patients
Authors: Baik Dongyup , Yeom Seok-Ran , Park Sung-Wook , Cho Youngmo , Yang Wook Tae , Kwon Hoon , Lee Jae Il , Ko Jun-Kyeung , Choi Hyuk Jin , Huh Up , Goh Tae Sik , Song Chan-Hee , Hwangbo Lee , Wang Il Jae
Published: October 2022

Background. Rotational thrombelastometry (ROTEM) has been used to evaluate the coagulation state, predict transfusion, and optimize hemostatic management in trauma patients. However, there were limited studies on whether the prediction value could be improved by adding the ROTEM parameter to the prediction model for in-hospital mortality and massive transfusion (MT) in trauma patients. Objective. This study assessed whether ROTEM data could improve the MT prediction model. Method. This was a single-center, retrospective study. Patients who presented to the trauma center and underwent ROTEM between 2016 and 2020 were included. The primary and secondary outcomes were massive transfusions and in-hospital mortality, respectively. We constructed two models using multivariate logistic regression with backward conditional stepwise elimination (Model 1: without the ROTEM parameter and Model 2: with the ROTEM parameter). The area under the receiver operating characteristic curve (AUROC) was calculated to assess the predictive ability of the models. Result. In total, 969 patients were included; 196 (20.2%) received MT. The in-hospital mortality rate was 14.1%. For MT, the AUROC was 0.854 (95% confidence interval [CI], 0.825–0.883) and 0.860 (95% CI, 0.832–0.888) for Model 1 and 2, respectively. For in-hospital mortality, the AUROC was 0.886 (95% CI, 0.857–0.915) and 0.889 (95% CI, 0.861–0.918) for models 1 and 2, respectively. The AUROC values for models 1 and 2 were not statistically different for either MT or in-hospital mortality. Conclusion. We found that the addition of the ROTEM parameter did not significantly improve the predictive power of MT and in-hospital mortality in trauma patients.
Overexpression of Laminin 5γ2 Chain Correlates with Tumor Cell Proliferation, Invasion, and Poor Prognosis in Laryngeal Squamous Cell Carcinoma
Authors: Yin Chengyi , Ma Bingliang , Zhang Xilin , Lan Longjiang , Ren Gang , Xu Jue , Wang Jianqiu
Published: October 2022

Objective. Laryngeal squamous cell carcinoma (LSCC) is a common malignant tumor. Laminin 5γ2 chain (LAMC2) was reported to be associated with tumorigenesis. This study explored the role of LAMC2 on LSCC progression by regulating the integrinβ1/FAK/Src/AKT pathway. Methods. The level of LAMC2 in 46 LSCC patients was detected by qRT-PCR and western blot. Then the relationship between LAMC2 expression and LSCC malignancy as well as prognosis was analyzed, and the effect of LAMC2 expression on LSCC patient survival was also analyzed using the Kaplan–Meier survival curves. Afterwards, the LSCC cells were transfected with LAMC2 overexpression and knockdown vectors, the effect of LAMC2 on LSCC cell viability, proliferation ability, cell cycle, cell migration, and invasion were detected by CCK-8, colony formation, flow cytometry, wound healing, and Transwell assays. The expression of EMT-related biomarkers and integrin β1/FAK/Src/AKT signaling-related proteins was detected by western blot. Moreover, the effect of LAMC2 on LSCC tumor growth was evaluated by in vivo xenograft experiments and western blot. Results. LAMC2 was expressed at high level in LSCC tissues and associated with poor prognosis. LAMC2 overexpression increased TU177 cell viability, proliferation ability, promoted cell cycle, cell migration, and invasion capacity. The expression of N-cadherin, vimentin, and integrinβ1/FAK/Src/AKT related proteins was increased, while the expression of E-cadherin protein was decreased. When the LAMC2 knockdown in AMC-HN-8 cells had opposite effects. Furthermore, shLAMC2 decreased tumor volume and the expression of LAMC2, Ki-67 and integrinβ1, but increased the expression of E-cadherin in LSCC tumor-bearing mice. Conclusion. The findings suggested that LAMC2 was overexpressed in LSCC and correlated with poor prognosis. LAMC2 knockdown inhibited LSCC progression by regulating the integrinβ1/FAK/Src/AKT signaling pathway. Therefore, LAMC2 could be a target for LSCC therapy.
Innovation and Business Model of Life and Health Sharing Platform Based on Algorithm of Naive Bayesian Model
Authors: Yu Lisheng
Published: October 2022

Including shared bicycles, shared chefs, shared ideas, shared printing, and even shared human resources, the vocabulary of sharing has quietly entered people’s lives, affecting everyone’s necessities. “Everyone can participate” and “everything can be shared” are all familiar words in the sharing economy field. The implementation of the sharing economy is carried out by relying on the sharing platform. Knowledge, as a special resource, can exert its maximum benefit only when it is widely disseminated and shared, and the process of knowledge sharing and transformation itself contains knowledge innovation. By linking the multiparticipants of the platform, sharing, cocreation, and win-win are realized. The research value of this paper lies in the use of microservices to solve the problems of high coupling, poor scalability, and difficulty in rapid iteration in traditional monolithic applications, effectively identifying and blocking spam that may appear on the platform through a relatively simple solution. Meanwhile, it has been expected that under the trend of sharing economy, with the development of blockchain and 5G technology, an Internet life and health platform can be built. The upstream and downstream in the medical and health industry can be linked to share resources between the upstream and downstream in the industry, which can create a common nakedness, thus improving the operational efficiency and profitability of the entire medical and health industry. Finally, a spam identification scheme combining the improved Aho-Corasick algorithm (AC) and the naive Bayesian model (NBM) has been proposed, and a comparative experiment was conducted between this scheme and the scheme directly using NBM. The experimental results showed that the macro F1 value of the improved scheme on the bad evaluation dataset of platform A was 3.6% higher than that of NBM alone, and the macro F1 value of the improved scheme was 1.7% higher than that of NBM alone on the B platform review dataset. The overall performance of the improved NBM algorithm was stable and better than the traditional algorithm, which verified the feasibility of the scheme.
Study on the Quantitative Assessment of Impact Damage of Yellow Peaches Using the Combined Hyperspectral Technology and Mechanical Parameters
Authors: Zhang Feng , Li Bin , Yin Hai , Zou Jiping , Ouyang Aiguo
Published: October 2022

The quantitative description of the impact damage of yellow peaches is an essential basis for evaluating their quality and guiding their postharvest handling. In this study, the combined hyperspectral technology and mechanical parameters method were used to quantitatively investigate the impact damage of yellow peaches. Firstly, the mechanical parameters, which are damaged area, absorbed energy, maximum contact force, and maximum stress of yellow peaches, were obtained by the impact device. The statistical regression models between mechanical parameters and damage area were established, and the results showed that the absorbed energy and maximum contact force are the optimal parameters to characterize the impact damage of yellow peaches. Then, the raw spectra were preprocessed by three spectral pretreatment methods, which are standard normal variate (SNV), multiplicative scatter correction (MSC), and SG smoothing, respectively, and the feature wavelengths were selected by the competitive adaptive reweighted sampling (CARS), and the quantitative relationships between spectra and mechanical parameters were successfully modeled based on partial least squares regression (PLSR). The results showed that there is a strong linear correlation between the spectral data and the mechanical parameters, and the prediction performance of the SNV-CARS-PLSR model is best, and the RP and RMSEP of the damaged area, absorbed energy, maximum contact force, and maximum stress of it were 0.920 and 86.452 mm2, 0.845 and 1.303 J, 0.943 and 49.666 N, 0.660 and 0.146 MPa, respectively. In a word, this study shows that the combined hyperspectral technology and mechanical parameters method can be used to quantitatively assess the impact damage of yellow peaches, and guide the postharvest handling of fruits.
The Impact of Radiation Dose on Preoperative Neoadjuvant Chemoradiotherapy Effects for Patients with Locally Advanced Squamous Cell Esophageal Carcinoma: A Propensity Score-Matched Retrospective Study
Authors: Mu Yanru , Wang Hui , He Tao , Xu Li
Published: October 2022

Objective. To explore the impact of radiation dose on preoperative neoadjuvant chemoradiotherapy effects for patients with locally advanced squamous cell esophageal carcinoma (LASCEC) with long-term follow-up data. Methods. The patients with LASCEC received either low dose radiotherapy (50.4Gy/23f/1.8Gy) or a high dose (64.8Gy/25f/1.8Gy) followed by neoadjuvant chemotherapy preoperatively were included in this study. To balance potential bias, 1 : 1 propensity score matching (PSM) with a caliper of 0.1 was used. The two groups were compared in terms of radical resection, post-radiation adverse event rates, perioperative mortality, postoperative adverse event rates, overall survival (OS), local recurrence rate, and distant metastatic rate. Results. Forty-two patients were enrolled in this study, with 21 patients in each group after PSM. There was no difference in baseline characteristics between the two groups (all p >0.05). The rates of radical resection (71.4% vs 57.1%, P =0.334), perioperative mortality (9.5% vs 4.8%, P =0.549), and postoperative adverse event rates (76.2% vs 90.5%, P =0.410) did not differ significantly between the two groups. The 5-year OS rate was statistically higher in the group with a high dose (66.7% vs. 28.6%, P =0.013). Meanwhile, the local recurrence rate was statistically lower in the high dose group (14.3% vs 47.6%, P =0.019 for 3 years; 33.3% vs 66.6%, P =0.031 for 5 years). Moreover, the 3-year distant metastasis rate was statistically lower in the group with a high dose (9.5% vs 38.1%, P = 0.03). Conclusion. Patients with LASCEC may benefit from preoperative neoadjuvant chemoradiotherapy with a high radiation dosage (64.8Gy/25f/1.8Gy).
Study on Rheological Characteristics of Uncemented Coal Gangue-Fly Ash Backfill (UCGFB) Slurry Based on Fractal Theory
Authors: Jin Junyu , Yang Faguang , Gu Chengjin , Zhou Yibo , Wang Xiaolong
Published: October 2022

In order to explore the influence of gradation and concentration on the rheological parameters of uncemented coal gangue-fly ash backfill (UCGFB) slurry, based on the fractal theory, the particle size distribution of the mixture of coal gangue and fly ash under different mixing ratios are analyzed in this paper. On this basis, the influence of gradation and concentration on rheological parameters of UCGFB slurry are studied and a numerical simulation of slurry transportation is also carried out. The results show that (1) the fractal dimension can well characterize the grading characteristics of UCGFB mixtures, the larger the fractal dimension, the more fine particles in the material. (2) The fractal dimension of 2.628 is a critical point, when the fractal dimension of the mixture is greater than or equal to 2.628, the content of fine particles in the slurry can meet the requirements. On this basis, by adjusting the concentration of the slurry, the slurry can reach a good state. (3) When the slurry concentration reaches 79%, no matter how the gradation of the mixture changes, the rheological parameters of the slurry are at a high level. (4) In this paper, the average pressure loss per unit length pipeline is between 3000–8000 Pa for slurry with different mixing ratios, with a minimum value of 3070 Pa and the maximum value of 7697 Pa. Moreover, the pressure loss of bend is greater than that of straight pipe.
Hypertension Status Moderated the Relationship between the Hippocampal Subregion of the Left GC-ML-DG and Cognitive Performance in Subjective Cognitive Decline
Authors: Cai Guiyan , Wang Yajun , Chen Ruilin , Xu Shurui , Luo Jia , Sun Qianqian , Li Ming , Lin Hui , Zhang Qinyuan , Zheng Yimei , Lin Hanni , Liu Jiao
Published: October 2022

Background. To investigate the relationship between hypertension status, hippocampus/hippocampal subregion structural alteration, and cognitive performance in subjective cognitive decline (SCD). Methods. All participants were divided into two groups according to blood pressure status: SCD without hypertension and SCD with hypertension. The cognitive assessments and T1-MPRAGE brain MRI were performed to measure the cognitive function and the volume of the hippocampus and hippocampal subregions. Association and mediating/moderating effects were analyzed between the volume of hippocampus/hippocampal subregions and cognitive scores. Results. Compared to the SCD without hypertension, we found (1) increased reaction time (RT) of the Go/No go test, compatible test, and divided attention visual task and (2) decreased volume of the left whole hippocampal/left subiculum/left CA1/left presubiculum/left parasubiculum/left molecular layer HP/left GC-ML-DG/left HATA in SCD with hypertension. There was a significant negative association between the volume of the left GC-ML-DG and Go/No go test RT in SCD without hypertension. A significant moderating effect of hypertension status on the relationship between the volume of the left GC-ML-DG and Go/No go test RT was found. Conclusion. The results suggested that hypertension status affects inhibitory control function and visual divided attention which may be related to the reduction of hippocampus/hippocampal subregion volume in SCD. Limitations. The study has several limitations. First, this study does not include a healthy control group. In further studies, healthy controls may need to assess the interaction between hypertension status and disease status on cognitive function. Second, we defined the hypertension status using with or without hypertension disease. More detailed parameters of hypertension status need to be further studied. Third, our study was a small number of participants/single-center and cross-sectional study, which may hinder its generalization. A large-sample/multicenter, longitudinal study is helpful to comprehensively understand the relationship between hypertension status and cognitive function in SCD patients.
Attenuation by Time-Restricted Feeding of High-Fat and High-Fructose Diet-Induced NASH in Mice Is Related to Per2 and Ferroptosis
Authors: Shu Yan-yun , Gao Wen-kang , Chu Hui-kuan , Yang Ling , Pan Xiao-li , Ye Jin
Published: October 2022

Nonalcoholic steatohepatitis (NASH) is a chronic and progressive disease whose treatment strategies are limited. Although time-restricted feeding (TRF) is beneficial for metabolic diseases without influencing caloric intake, the underlying mechanisms of TRF action in NASH and its efficacy have not yet been demonstrated. We herein showed that TRF effectively alleviated NASH, producing a reduction in liver enzymes and improvements in liver pathology. Regarding the mechanisms by which TRF mitigates NASH, we ascertained that TRF inhibited ferroptosis and the expression of the circadian gene Per2. By adopting a hepatocyte-specific Per2-knockout (Per2△hep) mice model, we clarified the critical role of Per2 in exacerbating NASH. According to the results of our RNA-Seq analysis, the knockout of Per2 ameliorated NASH by inhibiting the onset of ferroptosis; this was manifested by diminished lipid peroxidation levels, decreased mRNA and protein levels for ferroptosis-related genes, and alleviated morphologic changes in mitochondria. Furthermore, using a ferroptosis inhibitor, we showed that ferroptosis significantly aggravated NASH and noted that this was likely achieved by regulation of the expression of peroxisome proliferator activated receptor (PPAR)α. Finally, we discerned that TRF and hepatocyte-specific knockout of Per2 promoted the expression of PPARα. Our results revealed a potential for TRF to effectively alleviate high-fat and high-fructose diet-induced NASH via the inhibition of Per2 and depicted the participation of Per2 in the progression of NASH by promoting ferroptosis, which was ultimately related to the expression of PPARα.
Dracocephalum kotschyi Boiss. In Vitro Efficacy on Growth and Apoptosis Induction in Leishmania major Promastigotes
Authors: Kosari Neda , Khamesipour Faham
Published: October 2022

Dracocephalum kotschyi Boiss. is a plant generally used in modern medicine to treat many human illnesses. It is also used to prevent tumor cell proliferation throughout the world. This study’s objective was to evaluate this plant’s in vitro efficacy on growth and apoptosis induction in Leishmania major promastigotes. To do this, the essential oil is extracted for the test following the collection and identification of D. kotschyi. The essential oil was analyzed using a GC‐MS analyzer. Promastigotes of L. major were cultured in RPMI‐1640 media, and the MTT assay and a flow cytometry analysis were carried out on promastigotes that had entered the log phase. To differentiate between viable, necrotic, and apoptotic treated or untreated promastigotes, the flow cytometry method of double staining with annexin V‐FLUOS and propidium iodide (PI) was used. Given the results obtained, 11 phytochemicals were identified in the essential oil of this plant. Copaene (22.15%), methyl geranate (16.31%), geranial (13.78%), and carvone (11.34%) were the main substances. The essential oil of D. kotschyi inhibits the proliferation of L. major promastigotes at 921 μg/mL, 252 μg/mL, and 416 μg/mL, respectively, after 24 h, 48 h, and 78 h. The cells were divided into four quadrates based on cell phases using the flow cytometry approach by double staining with annexin V‐FLUOS and propidium iodide (PI): necrosis (Q1), late apoptosis (Q2), early apoptosis (Q3), and viable (Q4) quadrates. Overall, it is apparent that the different concentrations induced cell apoptosis in promastigotes. Observation under the light microscope at ×100 magnification showed that the different doses of D. kotschyi essential oil caused apparent alterations in the treated promastigotes. In this work, D. kotschyi essential oils induce programmed death on L. major promastigotes. This study opens many research perspectives, such as investigating the mechanisms of action and the production of a phytomedicine based on this plant.
A Comparative Study among Handwritten Signature Verification Methods Using Machine Learning Techniques
Authors: Hashim Zainab , Ahmed Hanaa M. , Alkhayyat Ahmed Hussein
Published: October 2022

Nowadays, the verification of handwritten signatures has become an effective research field in computer vision as well as machine learning. Signature verification is naturally formulated as a machine-learning task. This task is performed by determining if the signature is genuine or forged. Therefore, it is considered a two‐class classification issue. Since handwritten signatures are widely used in legal documents and financial transactions, it is important for researchers to select an efficient machine-learning technique for verifying these signatures and to avoid forgeries that may cause many losses to customers. So far, great outcomes have been obtained when using machine learning techniques in terms of equal error rates and calculations. This paper presents a comprehensive review of the latest studies and results in the last 10 years in the field of online and offline handwritten signature verification. More than 20 research papers were used to make a comparison between datasets, feature extraction, and classification techniques used in each system, taking into consideration the problems that occur in each. In addition, the general limitations and advantages of machine-learning techniques that are used to classify or extract signature features were summarized in the form of a table. We also present the general steps of the verification system and a list of the most considerable datasets available in online and offline fields.
Internet of Things-Based Smart and Connected Supply Chain: A Review
Authors: Abdul Zahra Musaddak Maher , Ilhan GARIP  , Almashhadani Yazen S. , T Bothichandar
Published: October 2022

In the era of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT), elements along the supply chain can be connected to one another to offer tracking capabilities. The information obtained from an always connected and working supply chain is then incorporated into the simulations of the virtual world (digital twin). This allows for an instantaneous simulation of the environment at any point in time and better, more optimized, and quicker decisions are made based on the results. This translates into more performance and a stronger competitive advantage. This paper will examine the main concepts surrounding the supply chain from the perspective of digitalization. In this paper, we will take a closer look at the main concepts related to the supply chain in light of digitalization.
Predicting Postoperative Troponin in Patients Undergoing Elective Hip or Knee Arthroplasty: A Comparison of Five Cardiac Risk Prediction Tools
Authors: Tesfazghi Merih T. , Bass Anne R. , Al-Hammadi Noor , Woller Scott C. , Stevens Scott M. , Eby Charles S. , Scott Mitchell G. , Snyder Lindsey , Wildes Troy S. , Gage Brian F.
Published: October 2022

Background. Elderly patients undergoing hip or knee arthroplasty are at a risk for myocardial injury after noncardiac surgery (MINS). We evaluated the ability of five common cardiac risk scores, alone or combined with baseline high-sensitivity cardiac troponin I (hs-cTnI), in predicting MINS and postoperative day 2 (POD2) hs-cTnI levels in patients undergoing elective total hip or knee arthroplasty. Methods. This study is ancillary to the Genetics-InFormatics Trial (GIFT) of Warfarin Therapy to Prevent Deep Venous Thrombosis, which enrolled patients 65 years and older undergoing elective total hip or knee arthroplasty. The five cardiac risk scores evaluated were the atherosclerotic cardiovascular disease calculator (ASCVD), the Framingham risk score (FRS), the American College of Surgeon’s National Surgical Quality Improvement Program (ACS-NSQIP) calculator, the revised cardiac risk index (RCRI), and the reconstructed RCRI (R-RCRI). Results. None of the scores predicted MINS in women. Among men, the ASCVD (C-statistic of 0.66;

p
=
0.04

), ACS-NSQIP (C-statistic of 0.69;

p
=
0.01

), and RCRI (C-statistic of 0.64;

p
=
0.04

) predicted MINS. Among all patients, spearman correlations (rs) of the risk scores with the POD2 hs-cTnI levels were 0.24, 0.20, 0.11, 0.11, and 0.08 for the ASCVD, Framingham, ACS-NSQIP, RCRI, and R-RCRI scores, respectively, with

p

values of <0.001, <0.001, <0.001, 0.006, and 0.025. Baseline hs-cTnI predicted MINS (C-statistics: 0.63 in women and 0.72 in men) and postoperative hs-cTnI (rs = 0.51,

p
=
0.001

). Conclusion. In elderly patients undergoing elective hip or knee arthroplasty, several of the scores modestly predicted MINS in men and correlated with POD2 hs-cTnI.
Nutritional and Nonnutritional Content of Underexploited Edible Seaweeds
Authors: Alghazeer Rabia , El Fatah Hesham , Azwai Salah , Elghmasi Sana , Sidati Maammar , El Fituri Ali , Althaluti Ezdehar , Gammoudi Ftaim , Yudiati Ervia , Talouz Nadia , Shamlan Ghalia , AL-Farga Ammar , Alansari Wafa S. , Eskandrani Areej A.
Published: October 2022

Macroalgae are a valuable source of highly bioactive primary and secondary metabolites that may have useful bioapplications. To investigate the nutritional and nonnutritional contents of underexploited edible seaweeds, proximate composition, including protein, fat, ash, vitamins A, C, and E, and niacin, as well as important phytochemicals, including polyphenols, tannins, flavonoids, alkaloids, sterols, saponins, and coumarins, were screened from algal species using spectrophotometric methods. Ash content ranged from 3.15–25.23% for green seaweeds, 5–29.78% for brown algae, and 7–31.15% for red algae. Crude protein content ranged between 5 and 9.8% in Chlorophyta, 5 and 7.4% in Rhodophyta, and between 4.6 and 6.2% in Phaeophyceae. Crude carbohydrate contents ranged from 20 to 42% for the collected seaweeds, where green algae had the highest content (22.5–42%), followed by brown algae (21–29.5%) and red algae (20–29%). Lipid content was found to be low in all the studied taxa at approximately 1–6%, except for Caulerpa prolifera (Chlorophyta), which had a noticeable higher lipid content at 12.41%. These results indicated that Phaeophyceae were enriched with a high phytochemical content, followed by that of Chlorophyta and Rhodophyta. The studied algal species contained a high amount of carbohydrate and protein, indicating that they could be considered as a healthy food source.