bluuebunny/crossref_metadata_2025 huggingface dataset:
Data Analysis and Prediction Modeling Based on Deep Learning in E-Commerce
Authors: Feng Lei
Published: March 2022

Due to the low efficiency of traditional data analysis methods for massive e-commerce data analysis, an e-commerce data analysis and prediction method based on the GBDT deep learning model was proposed. Purchase behavior is divided into another category, which transforms the problem of e-commerce data analysis and prediction into a binary classification problem. At the same time, we extract 107 features that can reflect the user behavior and construct the GBDT model. The characteristics include counting class, sorting class, time difference class, conversion rate class, and so on. It follows from the above that the analysis and prediction of e-commerce data are realized. In addition, the results show that when the learning rate of GBDT model parameters is 0.05, the number of basic learners is 200, the tree depth is 20, the threshold is 0.5, the model prediction effect is best, and the F1 value can reach 0.12. Compared with the traditional prediction model based on logistic regression and neural network, the proposed GBDT model is more suitable for e-commerce data analysis and prediction.
Association of Dietary Glycemic Index, Glycemic Load, Insulin Index, and Insulin Load with Bacterial Vaginosis in Iranian Women: A Case-Control Study
Authors: Noormohammadi Morvarid , Eslamian Ghazaleh , Kazemi Seyyedeh Neda , Rashidkhani Bahram , Malek Shirin
Published: March 2022

Background. Inconsistent findings have been reported for associations between dietary indices and bacterial vaginosis (BV). The aim of this study was to examine the association of dietary glycemic index (DGI), glycemic load (DGL), insulin index (DII), and insulin load (DIL) with BV among Iranian women. Methods. The current case-control study consisted of 144 new cases of BV and 151 controls. The diagnosis of BV was made based on the Amsel criterion in hospital clinics in Tehran, Iran, from November 2020 until June 2021. DGI, DGL, DII, and DIL were calculated from a validated semiquantitative food frequency questionnaire. The association between dietary carbohydrate indices and odds of BV were assessed adjusting for potential confounders through an estimation of two multivariate regression models. Results. The multivariate adjusted odds ratio (OR) comparing the highest tertile of dietary DGI and DGL with the lower tertile was 2.99 (95% confidence interval (CI): 1.47–6.81;

P

trend

=
0.003

) and 4.01 (95% CI: 1.22–5.91;

P

trend

=
0.029

), respectively. In a fully adjusted model, the top tertile of dietary fiber compared to the bottom was associated with 88% (95% CI: 0.14-0.33) lower odds of BV (

P

trend

<
0.001

). DII and DIL were not significantly associated with odds of BV in both crude and adjusted regression models. Conclusion. The findings support the hypothesis of moderate, direct associations between DGI or DGL and BV. Also, a diet high in fiber decreases odds of BV.
Experimental Investigation on Proppant Transport Behavior in Hydraulic Fractures of Tight Oil and Gas Reservoir
Authors: Liu Guoliang , Chen Shuang , Xu Hongxing , Zhou Fujian , Sun Hu , Li Hui , Wang Zuwen , Li Xianwen , Song Kaoping , Rui Zhenhua , Li Ben
Published: March 2022

Proppant concentration and fracture surface morphology are two significant fractures that can affect proppant transport and deposition behavior especially in tight and oil and gas reservoirs. This paper proposed a new set of similarity criteria for proppant experimental design by incorporating proppant concentration and fracture roughness. Based on the proposed criterion, proppant transport experiments in hydraulic fractures of tight oil and gas reservoirs were conducted to explore the proppant placement behavior and identify the key parameters that affected the fracture propping efficiency. Results showed that the proposed similarity criterion can be used to evaluate the onsite proppant transport behavior and optimize hydraulic fracturing parameters. Results showed that the fracture placement efficiency of LD C7 tight oil reservoir is mainly affected by sand ratio and fracturing fluid viscosity. The sand ratio in the LD C7 tight oil reservoir should not be less than 8%, and the optimal carrying fluid viscosity is 5 mPa s. The proppant placement efficiency of the SLG H8 tight gas reservoir is mainly affected by the displacement rate and frac fluid viscosity. The displacement rate of SLG H8 tight gas reservoir should not be less than 3.5 m3/min, and the optimal carrying fluid viscosity is 15 mPa s.
A Novel NCSTN Mutation in a Three-Generation Chinese Family with Hidradenitis Suppurative
Authors: Liu Chengling , Liu Xingchen , Wang Rui , Chen Lang , Zhao Hua , Zhou Yong
Published: March 2022

Objective. Hidradenitis suppurativa (HS) is a rare autosomal dominant condition characterized by inflamed nodules, cysts, deep abscesses, draining sinuses in the axillae, inguinal, and anogenital regions. Mutations in the NCSTN gene have been perceived to be responsible for the major underlying changes in the disorder. The purpose of this study is to identify a novel gene mutation in a Chinese family with HS. Methods. A Chinese family with HS present was investigated. The proband had manifested with multiple draining sinuses on the posterior neck, chest, bilateral axillae, and perineal regions. DNA was isolated from the peripheral blood of the family members. The encoding exons with introns of the NCSTN gene were analyzed by polymerase chain reactions (PCR) and direct DNA sequencing. Sanger sequencing was performed to confirm the next-generation sequencing results and to analyze each mutation’s familial segregation. Furthermore, the identified mutation was localized onto a 3D structure model using the DeepView Swiss-PdbViewer 4.1 software. Results. In this family comprising 10 HS patients, one novel mutation of the NCSTN gene was identified, involving a deletion mutation (c.447delC(p.N150Ifs

∗

52)) in the NCSTN gene resulting in a frameshift and the new formation of a hydrogen bond. Conclusion. Our study reports the identification of a novel mutation that causes familial HS and could expand the spectrum of mutations in the γ-secretase genes underlying HS.
Methylprednisolone and Hyaluronic Acid versus Each Agent Alone to Control Complication of Impacted Wisdom Removal
Authors: Altaweel Alaa Abdelqader , Gaber Abd El-Hamid , Alnaffar Mahmoud Zuhair , Alshomrani Elham Ahmed , Alrehaili Rahaf Asaad , Alshaikh Rahaf Abdulmoeen , Baeshin Jumana Nader , Al-akhdar Elaf Sami
Published: March 2022

Introduction. Extraction of impacted molars is commonest operation in oral cavity and associated with complications disturbing patient’s quality of life. Hyaluronic acid is a nontoxic agent recommended for wound management due to its anti-inflammatory effects. Also, methylprednisolone sodium is used to reduce pain and edema. The aim this study was to compare the effect of combined use of corticosteroid and hyaluronic acid versus each agent alone in controlling postextraction complications of impacted mandibular third molars. Materials and Methods. This prospective randomized trial included patients suffering from impacted mandibular third molar. Patients were divided into four groups. Group I, control, and group II received methylprednisolone sodium succinate injection preoperatively, group III received hyaluronic acid applied in extraction socket, and group IV received preoperative methylprednisolone sodium succinate injection and topical hyaluronic acid in the socket. All patients were evaluated preoperatively and postoperative day to assess swelling, pain, mouth opening, and total analgesic dose. Results. Group IV showed insignificant edema along the study period, and other groups showed significant edema on third postoperative day that improved on seventh postoperative in group II and III and tenth postoperative day in group I. Significant decreased mouth opening occurred on second postoperative day in group I, while in other groups, it occurred in third postoperative day. Significant improvement occurred on seventh postoperative day in all groups except in group I which occurred on tenth postoperative day. There was less pain and analgesic dose reported in group IV than other groups. Conclusion. Combined use of methylprednisolone sodium succinate and hyaluronic acid significantly decrease postoperative complications than using each agent alone.
[Retracted] Nanometal‐Based Magnesium Oxide Nanoparticle with C. vulgaris Algae Biodiesel in Diesel Engine
Authors: Arunprasad J. , Krishna Alla Naveen , Radha Dharavathu , Singh Mandeep , Surakasi Raviteja , Gidebo Tewodros Derese
Published: March 2022

Many researchers are interested in biofuels because it isenvironmentally friendly and potentially reduce global warming. Incorporating nanoparticles into biodiesel has increased its performance and emission characteristics. The current study examines the influence of magnesium oxide nanoadditions on the performance and emissions of a diesel engine that runs on C. vulgaris algae biodiesel. The transesterification process produced methyl ester from C. vulgaris algae biodiesel.The morphology of nanoadditives was studied using scanning electron microscopy, transmission electron microscopy, and energy‐dispersive X‐ray spectroscopy. The fuel sample consisted of biodiesel blends with and without magnesium oxide nanoadditives. The fuel properties of the prepared C. vulgaris methyl ester were found to conform with the ASTM standards. The experimental results were determined by running a single‐cylinder four‐stroke diesel engine at different load conditions. When compared to B20, a B20 blend containing 100 ppm magnesium oxide nanoparticles enhanced brake thermal efficiency while reducing specific fuel consumption, according to the research. When MgO nanoparticles were introduced to B20, engine emissions of HC, CO, and smoke were decreased.
Tetramethylpyrazine Improves Monocrotaline-Induced Pulmonary Hypertension through the ROS/iNOS/PKG-1 Axis
Authors: Yang Dong-Peng , Dong Wen-Peng , Yang Yong-Chao , Zeng Yuan-Yuan , Liu Ying , Dong Zhu , Ma Xi-Miao , Cao Yi-Qiu , Bai Yi-Zhou , Yang Bo , Wang Xiao-Wu
Published: March 2022

Background. Tetramethylpyrazine (TMP), a potent anti-free radical and anti-inflammations substance, has been demonstrated to possess a direct vessel relaxation property. This study aimed to evaluate the effect of TMP treatment in pulmonary hypertension (PH) and test the hypothesis that TMP prevents or reverses the process of PH. Methods. Rats (n = 36) injected with 50 mg/kg of monocrotaline (MCT) subcutaneously 4 weeks to develop PH were then randomized to TMP (5 mg/kg per day) for another 4 weeks. Hemodynamics was evaluated via the right ventricle. Pulmonary vessels structural remodeling and inflammation were examined by histologic and transmission electron microscopy observation. The expression of inducible nitric oxide synthase (iNOS) and cGMP-dependent protein kinases 1 (PKG-1) was detected by immunohistochemical staining and Western blot. Generation of reactive oxygen species (ROS) and antioxidation species was measured by biochemical analyses. Results. MCT increased PH and right ventricle hypertrophy. TMP alleviated pulmonary arterial pressure elevation, leukocyte infiltration, and structural remodeling of pulmonary arterials induced by MCT successfully. TMP treatment significantly increased the PKG-1 expression and suppressed the iNOS expression. The activity of superoxide dismutase (SOD), glutathione peroxidase (GSH), and catalase (CAT) was significantly higher than control group, while malondialdehyde (MDA) levels were lower compared with MCT group. Conclusion. TMP can suppress established MCT-induced PH through the ROS/iNOS/PKG axis. The underlying mechanisms may be associated with its anti-inflammatory, antioxidant, and antiproliferative properties in pulmonary arterial.
The Value of Left Atrial Volume Changes in Predicting Cardiotoxicity in Patients Undergoing Anthracycline Chemotherapy
Authors: Chen Dongliang , Fan Li , Rui Yifei , Yan Zining
Published: March 2022

In order to study the value of left atrial volume three-dimensional echocardiography in predicting cardiotoxicity in patients with multiple myeloma undergoing anthracycline chemotherapy, a total of 53 patients with multiple myeloma who are treated in the Department of Hematology of our hospital from January 2018 to December 2020 are selected as the research object, and all patients underwent three cycles (T1–T3) of chemotherapy. Before and after each cycle of chemotherapy, the patients are examined with 3D ultrasound and serology detection. These patients are divided into the cardiotoxicity group and noncardiotoxicity group. The serological indexes and three-dimensional echocardiographic parameters between two groups are compared. Multivariate logistic regression is used to determine the independent risk factors of cardiotoxicity in patients undergoing chemotherapy. And ROC curves are performed to evaluate the diagnostic value of related indicators in predicting cardiotoxicity. A total of 53 patients with multiple myeloma are included in this study. Serological indexes (T3 cTnI and T3 Pro-BNP), T2 LAVmin, T3 LAVmin, T2 LAVprep, and T3 LAVprep in the cardiotoxicity group are significantly higher than those in the noncardiotoxicity group. Multivariate logistic regression further found that T3 cTnI, T3 Pro-BNP, T2 LAVmin, T3 LAVmin, T2 LAVprep, T3 LAVprep could be used to predict the occurrence of cardiotoxicity (P < 0.05). The results of ROC curves showed that T3 LAVmin had the most diagnostic efficiency of cardiotoxicity (AUC = 0.938; sensitivity 75.72%; specificity 93.82%). Detection of changes in left atrial volume using three-dimensional ultrasound could be used as strong predictors of cardiotoxicity caused by anthracycline chemotherapy drugs in patients with multiple myeloma.
Combination of Ascorbic Acid and Menadione Induces Cytotoxic Autophagy in Human Glioblastoma Cells
Authors: Despotović Ana , Mirčić Aleksandar , Misirlić-Denčić Sonja , Harhaji-Trajković Ljubica , Trajković Vladimir , Zogović Nevena , Tovilović-Kovačević Gordana
Published: March 2022

We investigated the ability of the ascorbic acid (AA) and menadione (MD) combination, the well-known reactive oxidative species- (ROS-) generating system, to induce autophagy in human U251 glioblastoma cells. A combination of AA and MD (AA+MD), in contrast to single treatments, induced necrosis-like cell death mediated by mitochondrial membrane depolarization and extremely high oxidative stress. AA+MD, and to a lesser extent MD alone, prompted the appearance of autophagy markers such as autophagic vacuoles, autophagosome-associated LC3-II protein, degradation of p62, and increased expression of beclin-1. While both MD and AA+MD increased phosphorylation of AMP-activated protein kinase (AMPK), the well-known autophagy promotor, only the combined treatment affected its downstream targets, mechanistic target of rapamycin complex 1 (mTORC1), Unc 51-like kinase 1 (ULK1), and increased the expression of several autophagy-related genes. Antioxidant N-acetyl cysteine reduced both MD- and AA+MD-induced autophagy, as well as changes in AMPK/mTORC1/ULK1 activity and cell death triggered by the drug combination. Pharmacological and genetic autophagy silencing abolished the toxicity of AA+MD, while autophagy upregulation enhanced the toxicity of both AA+MD and MD. Therefore, by upregulating oxidative stress, inhibiting mTORC1, and activating ULK1, AA converts MD-induced AMPK-dependent autophagy from nontoxic to cytotoxic. These results suggest that AA+MD or MD treatment in combination with autophagy inducers could be further investigated as a novel approach for glioblastoma therapy.
Neurofilament Light Chain (NF-L) Stimulates Lipid Peroxidation to Neuronal Membrane through Microglia-Derived Ferritin Heavy Chain (FTH) Secretion
Authors: Gong Li , Yu Qiuyue , Wang Haichao , Xu Chenhaoyi , Dou Yunxiao , Mao Bingjie , Zhao Yanxin
Published: March 2022

A part of the axonal cytoskeleton protein complex, neurofilament light chain (NF-L) has been suggested as a pathological hallmark in various neurological disorders, including hemorrhagic stroke, vascular dementia, and cerebral small vessel disease. Neuroaxonal debris are mainly engulfed and phagocytosed by microglia, while the effects of NF-L on microglia have not been elucidated. Ferritin heavy chain (FTH) not only reflects the age-related status of microglia but may also be secreted into the extracellular space. After treatment of microglia with varying concentrations of NF-L (0-3 μg/ml), we found robust increases in the number of secretory FTH-containing exosomes in the medium. Induction of the FTH-containing exosomes secreted from microglia stimulates neuronal loss and membrane lipid peroxidation, as assessed by CKK8 and C11-Bodipy581/591, respectively. However, this oxidative stress damage was attenuated by blocking Fth1 expression. Our results suggest that NF-L, as a biomarker of axonal injury itself, could participate in neuronal ferroptosis in a nonclassical manner by secreting FTH-containing exosomes from microglia into the extracellular matrix.
Two-Factor Authentication and Key Agreement Schemes for Smart Home Fingerprint Characteristics
Authors: Liu Zhenpeng , Li Zeyuan , Zhang Qingwen , Dong Shuhui , Liu Jiahang , Zhao Yonggang
Published: March 2022

Aiming at the potential security threat of personal information disclosure in smart homes, a two-factor authentication and key protocol scheme based on fingerprint feature was designed to ensure privacy and secure communication in a smart home environment. The scheme consisted of fingerprint authentication and a key protocol. Fingerprint features were extracted by fuzzy processor to ensure the stability of fingerprint features and effectively prevent the failure of fingerprint extraction caused by subtle changes. The key protocol was used to ensure the security of the communication process. Through performance comparison and security analysis, it was proved that the proposed scheme can meet the security requirements.
Activated Carbon as Superadsorbent and Sustainable Material for Diverse Applications
Authors: Sharma Gaurav , Sharma Shweta , Kumar Amit , Lai Chin Wei , Naushad Mu. , Shehnaz  , Iqbal Jibran , Stadler Florian J.
Published: March 2022

Activated carbon is a carbonaceous material with highly porous structure. Different functionalities can be introduced to its surface by various physical and chemical treatments. Various precursors can be used for the synthesis of activated carbon such as fossil fuels, agricultural wastes, and lignocellulosic wastes, etc. Number of papers have been reported in literature devoted to the synthesis, characterization, and various applications of activated carbon. Herein, in this review, special attention has been paid to the basic properties of activated carbon and its surface chemistry originated due to physical and chemical treatment. In addition, a general introduction to adsorption process, various adsorption isotherms, and adsorption kinetics is also included. A brief description of mechanism of adsorption onto activated carbon is also presented. At last, most probable applications of activated carbon such as adsorption of pollutants (e.g., dyes, heavy metal ions, pesticides, pharmaceutical waste products, and volatile organic organic), as catalyst support, anduse in food and pharmaceutical industries is also presented.
Research on Monitoring Topping Time of Cotton Based on AdaBoost+Decision Tree
Authors: Li Yibai , Cao Guangqiao , Ji Chao , Liu Dong , Zhang Jinlong , Li Liang , Chen Cong
Published: March 2022

Topping is an important part in cotton field management, the spraying time has a great impact on cotton quality. In agricultural production, the strategy of timing the cotton topping mainly relies on manual inspections and experience, which is lack of efficiency and science. To solve the problem, this paper uses a drone equipped with a multispectral camera to collect the multispectral information of the cotton canopy of 12 days which includes before and after the topping operation in Shihezi. At the same time, the information of cotton plant height, the number of fruiting branches, and flower buds are collected. Compare multiple band combinations and vegetation index; the combined data of 550 + 730 + 790 nm band is selected as the model input. AdaBoost + decision tree method is proposed as a fitting model, the fitting results show that the coefficient of determination (R2) between multispectrum and cotton plant height is 0.96, and the average prediction error (RMSEP) is 0.40 cm, the coefficient of determination (R2) between multispectrum information and the fruiting branches is 0.97, the prediction mean error (RMSEP) is 0.54, and the correlation determination (R2) with the flower buds is 0.84, and the prediction mean error is (RMSEP) 0.49. The output data of the fitting model is used as the input of the topping time discriminant model, and the discriminant model can obtain an accuracy of 94.03%. The method in this paper can effectively monitor the growth status of cotton in the topping time and provide a technical path to scientifically determine the cotton topping time.
Study on Hydraulic Connection and Seepage Law of Goaf Groups in Coal Mine Underground Reservoir
Authors: Qin Wei
Published: March 2022

A coal mine underground reservoir, composed of a large number of goaf groups, is effective in achieving the protective utilization of coal mine water. Mastering the hydraulic connection between the goaf groups and the law of seepage is the key to the design and safe operation of coal mine underground reservoirs. Coal/rock sample seepage tests were conducted in Wanli No. 1 Mine in the Shendong mining area according to the evolution law of the lateral supporting pressure of the coal pillars. From the tests, the function of vertical stress in relation to the permeability of coal/rock samples was obtained and the distribution law of permeability of porous media in the goaf was revealed. On this basis, the computational fluid dynamics (CFD) numerical calculation of seepage properties of the coal/rock pillars was conducted. The results show that with the decrease of water level in the goaf and the increase of coal pillar width, the flow range and flow velocity keep decreasing. At the water level of 18.65, 28.65, and 38.65 m, the critical coal pillar widths for the goaf water to penetrate into the adjacent goaf are 30, 50, and 70 m, respectively. When the coal pillar width is less than 10 m, the water can bypass the elastic core area at the bottom coal seam to the adjacent goaf area; when the width exceeds 20 m, the water cannot enter the adjacent goaf area through the bottom coal pillar. On the basis of CFD simulation study on seepage properties of coal/rock pillars between goafs, this paper conducts calculations for all the goafs in the 4-2 coal-panel block of Wanli No. 1 Mine and reveals the seepage path and seepage law in the underground reservoir of this mine.
Research on Badminton Teaching Technology Based on Human Pose Estimation Algorithm
Authors: Xipeng Zhang , Peng Zhao , Yecheng Cao
Published: March 2022

Human pose estimation is an important task in physical education, which can provide a valuable reference for teachers and students. We propose a human pose estimation method based on part affinity field. Firstly, the correlation of position information and orientation information between limb regions is maintained by part affinity field. Then the key points of limb pose are localized by part confidence map, and finally, the part affinity field is integrated to correlate all the acquired feature key points to obtain the human pose estimation. With the aid of computer vision technology, the students’ training movements can be compared with the standard movements. It enables the students to feel the standard movements and badminton hitting points more intuitively. In the experiment, we set up a comparison experiment to compare the teaching mode of the method in this paper with the traditional teaching mode. The experimental results prove that through the teaching mode of our method, students have more standard strokes, more smooth skill switching between badminton serves and strokes, and higher badminton stroke scores. At the same time, such a teaching system adds a lot of fun to the course and makes the students’ participation higher.
Analysis of Efficiency of Human Resource Management Evaluation Model Based on SOM Neural Network
Authors: Liu Xu , Wang Xuewen , Du Xiaowei , Gu Peng
Published: March 2022

The success of human resource management is directly related to whether enterprises can stand in the fierce market competition. In the actual operation of enterprises, the human resource management faces various risks. Here, we take the human resource management evaluation standard as the research object and establish the human resource management benefit evaluation model through a SOM neural network. The training, studying, and testing processes of the model are performed. Besides, the human resource management evaluation system is built on the basis of this model. The evaluation research on the efficiency of human resource management has a good influence in many aspects. Researchers have tried to decipher the “black box” relationship between human resource management and organizational benefits, and an effective human resource management evaluation tool is obtained. This model involves both theoretical construction and empirical research. It is of great significance to summarize the progress and existing problems of current research and abroad and put forward some suggestions for future research.
Construction and Simulation of the Market Risk Early-Warning Model Based on Deep Learning Methods
Authors: Lei Yuchen , Li Yinghui
Published: March 2022

To address the problem of low efficiency of existing forecasting models for market risk warning, a market risk early-warning model based on improved LSTM is suggested utilizing the whale optimization algorithm (WOA) to optimize the number of hidden layer neurons and time step parameters of long short-term memory. The proposed market risk early-warning model is validated by using 40 real estate companies as the research subjects and 20 relevant variables such as gross operating income, net profit asset growth rate, and total asset growth rate as indicators. The results demonstrate that the proposed model’s prediction accuracy for market risk is greater than 96% and that when compared to the standard CNN and LSTM models, the suggested model’s prediction accuracy for corporate finance from 2012 to 2019 is increased by 14% and 12%, respectively, and the prediction accuracy for corporate finance in 2020 is improved by 22% and 7%, respectively, which has certain practical application value and superiority.
[Retracted] Catheter Directed Thrombolysis in the Treatment of Acute Pulmonary Embolism: Early Hemodynamic Recovery and Improvement in Prognosis
Authors: Guan Qinglong , Wang Xiaofei , Liu Chenglong , Gao Yuan , Chen Haibo , Li Gang
Published: March 2022

Aim. In this study, we aimed to investigate the efficacy of catheter directed thrombolysis (CDT) and peripheral intravenous thrombolysis (PIT) in the treatment of patients with acute pulmonary embolism (APE) and assess its effect on the prognosis of patients. Methods. We recruited 74 patients with APE, who were assigned to CDT and PIT groups, according to the treatments received by them. The arterial partial pressure of oxygen (PaO2), partial pressure of carbon dioxide (Pa CO2), pulmonary artery pressure (PAP), pulmonary artery obstruction index (PAOI), thrombus volume, pain score, and therapeutic benefits were compared between the two groups before and after treatment, and the factors affecting patient prognoses were also analyzed. Results. Using the clinical data before treatment as the baseline, it was found that changes in indicators of plasma, thrombus volume, and pain scores were significantly better in the CDT group than in the PIT group after treatment. The total effective rate of CDT was higher than that of PIT in the treatment of APE. The mean follow‐up time for both the CDT and PIT groups was 41.08 ± 9.12 months, and the total mortality rate was 14.8% and 31%, respectively. The logistic regression analysis revealed the significant impacts of previous incidences of pulmonary embolism (PE), concurrent deep vein thrombosis (DVT), and pulmonary arterial hypertension (PAH) on the occurrence and progression of APE, and these factors were subsequently identified as risk factors for APE using Kaplan–Meier survival analysis. Observations from PAE onset to the end of follow‐up revealed that there was a difference in survival rates between the CDT and PIT groups. Conclusions. Taken together, CDT is an effective treatment strategy for APE and can provide effective symptomatic relief. In addition, the previous incidences of PE, concurrent DVT, and PAH are important risk factors that affect the survival rates of patients with APE.
Liposomal Delivery of Plant Bioactives Enhances Potency in Food Systems: A Review
Authors: Pamunuwa Geethi K. , Karunaratne D. Nedra
Published: March 2022

The potency of plant bioactives may decline drastically upon exposure to harsh external environments including gastrointestinal conditions. The protective role played by liposomes contributes to desirable properties including increased stability, slow/controlled release, improved bioactivity, and enhanced bioavailability of the encapsulated bioactives. Also, the incorporation of plant bioactives encapsulated liposomes in food matrices has resulted in augmented sensory attributes and improved quality of the foods further exhibiting the aptness of liposomal applications in food. Excitingly, new opportunities that circumvent the major shortfalls of utilizing liposomal formulations in the food industry have arisen paving the way to yield food products with high quality.
Predicting Compressive Strength of Concrete Containing Industrial Waste Materials: Novel and Hybrid Machine Learning Model
Authors: Hameed Mohammed Majeed , Abed Mustafa Abbas , Al-Ansari Nadhir , Alomar Mohamed Khalid
Published: March 2022

In the construction and cement manufacturing sectors, the development of artificial intelligence models has received remarkable progress and attention. This paper investigates the capacity of hybrid models conducted for predicting the compressive strength (CS) of concrete where the cement was partially replaced with ground granulated blast‐furnace slag (FS) and fly ash (FA) materials. Accurate estimation of CS can reduce the cost and laboratory tests. Since the traditional method of calculation CS is complicated and requires lots of effort, this article presents new predictive models called SVR − PSO and SVR − GA, that are a hybridization of support vector regression (SVR) with improved particle swarm algorithm (PSO) and genetic algorithm (GA). Furthermore, the hybrid models (i.e., SVR − PSO and SVR − GA) were used for the first time to predict CS of concrete where the cement component is partially replaced. The improved PSO and GA are given essential roles in tuning the hyperparameters of the SVR model, which have a significant influence on model accuracy. The suggested models are evaluated against extreme learning machine (ELM) via quantitative and visual evaluations. The models are evaluated using eight statistical parameters, and then the SVR‐PSO has provided the highest accuracy than comparative models. For instance, the SVR − PSO during the testing phase provided fewer root mean square error (RMSE) with 1.386 MPa, a higher Nash–Sutcliffe model efficiency coefficient (NE) of 0.972, and lower uncertainty at 95% (U95) with 28.776%. On the other hand, the SVR − GA and ELM models provide lower accuracy with RMSE of 2.826 MPa and 2.180, NE with 0.883 and 0.930, and U95with 518.686 183.182, respectively. Sensitivity analysis is carried out to select the influential parameters that significantly affect CS. Overall, the proposed model showed a good prediction of CS of concrete where cement is partially replaced and outperformed 14 models developed in the previous studies.
Dietary Patterns and Their Association with Metabolic Syndrome and Their Components in Middle-Class Adults from Damascus, Syria: A Cross-Sectional Study
Authors: Atasi Malda , Kammar-García Ashuin , Almendra-Pegueros Rafael , Navarro-Cruz Addi Rhode
Published: March 2022

Prior to the 2016 crisis in Syria, a study conducted in Aleppo found the prevalence of metabolic syndrome to be 39.6%, which is known to be favoured by age and poor lifestyle (including physical inactivity and the consumption of hypercaloric foods, rich in saturated fats, concentrated carbohydrates, and salt), so the objective of this study was to identify the association of different dietary patterns with metabolic syndrome and their components. A cross-sectional analytical study was carried out in 104 adults aged 40 to 65 years who did not suffer from previous diseases. The sample was chosen from middle-class citizens of the city of Damascus who were contacted by telephone; they were explained about the study, the information that would be collected, and the studies that should be carried out in the clinical analysis laboratory of the Private University of Syria. A nutritional and food study was carried out using previously validated forms containing 62 items in which the food intake of the participants was studied. We apply principal component analysis and factor analysis to detect nutritional components and dietary patterns. Dietary pattern 3 (foods with simple carbohydrates and saturated fat) increased glucose levels, while dietary patterns 1 (high intake of calories, protein, and saturated fat) and 5 (fast food) increased serum triglyceride levels. In addition, pattern 1 (carbonated beverages, grains, chicken, and meat) was associated with elevated LDL cholesterol levels and the presence of the metabolic syndrome. The study findings suggest that the presence of metabolic syndrome and its components are associated with dietary patterns high in calories, protein, simple carbohydrates, and saturated fat.
Research on Audit Simulation of Accounting Computerization Based on Internet Complex Discrete Dynamic Modeling Technology
Authors: Chen Zhuo , Wang Hong
Published: March 2022

With the rapid development of science and technology, modeling technology involves more and more fields and the data objects studied are more and more abstract. Based on the Internet plus complex discrete dynamic modeling technology, this paper studies the auditing and control of computerized accounting computerization. In order to maintain the steady state of the discrete dynamic system, the lifting method boosting, least square method, gradient boost, and LS-Ensem algorithm are added in the modeling process. Then, in order to improve the data recognition ability of the system, the recognition algorithm is added. The results show that the complex discrete dynamic system composed of the above algorithms is different from the ordinary system and can be better suitable for small-scale data. It also improves the stability of the whole system and then improves the accuracy of the model. Compared with ordinary discrete systems, the complex discrete dynamic systems studied in this paper can better overcome external factors and avoid errors. The system can quickly analyze and process the data that need statistics and has good application value.
Luteolin Ameliorates Methamphetamine-Induced Podocyte Pathology by Inhibiting Tau Phosphorylation in Mice
Authors: Ding Jiuyang , Wang Yuanhe , Wang Zhuo , Hu Shanshan , Li Zhu , Le Cuiyun , Huang Jian , Xu Xiang , Huang Jiang , Qiu Pingming
Published: March 2022

Methamphetamine (METH) can cause kidney dysfunction. Luteolin is a flavonoid compound that can alleviate kidney dysfunction. We aimed to observe the renal-protective effect of luteolin on METH-induced nephropathies and to clarify the potential mechanism of action. The mice were treated with METH (1.0–20.0 mg/kg/d bodyweight) for 14 consecutive days. Morphological studies, renal function, and podocyte specific proteins were analyzed in the chronic METH model in vivo. Cultured podocytes were used to support the protective effects of luteolin on METH-induced podocyte injury. We observed increased levels of p-Tau and p-GSK3β and elevated glomerular pathology, renal dysfunction, renal fibrosis, foot process effacement, macrophage infiltration, and podocyte specific protein loss. Inhibition of GSK3β activation protected METH-induced kidney injury. Furthermore, luteolin could obliterate glomerular pathologies, inhibit podocyte protein loss, and stop p-Tau level increase. Luteolin could also abolish the METH-induced podocyte injury by inactivating GSK3β-p-Tau in cultured podocytes. These results indicate that luteolin might ameliorate methamphetamine-induced podocyte pathology through GSK3β-p-Tau axis.
Study on the Law of Subsidence of Overburden Strata above the Longwall Gob
Authors: Zhang Yujiang , Du Caiyi , Feng Guorui , Yuan Honghui , Deng Xiaogang , Zhang Ronggang , Zhao Renle , Guo Yuxia
Published: March 2022

In recent years, with the increase of depth and intensity of coal mining, geological disasters in deep engineering occur frequently. It is essential to study the law of subsidence of overburden after mining for analyzing the mechanism and control of geological disasters in deep engineering. However, the value of the subsurface subsidence factor and other overburden subsidence parameters could not be obtained easily. In this paper, the strata bulking of the caving zone, the bed separation of the fractured zone, and the dilatation of bending zone were considered a kind of expansion in the vertical direction uniformly. An assumption on vertical expansion value distribution of overburden strata above the longwall gob was proposed. Based on the assumption, a formula of the subsurface subsidence factor was deduced according to such parameters as the bulking factor, mining depth, mining height, and surface subsidence factor. Moreover, many field data were used to verify the correctness of the assumption by the data fitting method. The results show that the exponential function could well describe the expansion distribution characteristic of overburden strata and subsurface subsidence in the vertical direction. The parameter

a

in the deduced formula influences the shape of the subsurface subsidence curve; it is called the subsurface subsidence influence factor (SSIF). The SSIF, maximal vertical expansion value, and the mining depth-to-mining height (

MD
/
MH

) ratio influence the subsurface subsidence factor. The expansion distribution (E-D) factor is defined to describe the subsidence characteristic of overburden strata above the longwall gob by the surface subsidence factor and bulking factor of the caving zone. The E-D factor presents the logarithm relation with the

MD
/
MH

ratio, and the range of its maximum is 2.84~3.40. The case study demonstrates that the subsurface subsidence factor calculated by the proposed method has higher precision, and the mean errors between the calculated value and the measured value are less than 2%.
Research on Algorithm Complexity of Spatial Structure of Urban Economic Logistics Specialty
Authors: Ding YiLing , Wang HeYong , Sun Ning , Wu JiaXin , Wang HongWei
Published: March 2022

In order to study the spatial structure characteristics and optimal layout of regional air logistics networks, a quantitative analysis system for the spatial structure of directed multivalued networks is constructed based on relational data using the social network analysis (SNA) method. Core-edge structure, cohesive subgroups, Burt’s structure hole, and topological analysis models were used. Characteristics of logistics spatial linkages of cities in the Yangtze River Economic Zone, the identification of logistics centre cities, and the construction of hub-and-spoke networks are explored, and the driving forces for the formation of logistics spatial linkage patterns are analysed using the Durbin model. The complexity of the designed model algorithm is investigated, and it is found that the comprehensive logistics capacity of the Yangtze River Economic Belt region is increasing year by year, and the strength of interregional linkages is also growing, showing a spatially divergent trend of “strong in the east and weak in the west”; the multicore network linkage pattern is obvious, and the structure of the spatial linkage network is gradually becoming more complex.
The Effect of Alcoholic Extract of Anabasis syriaca Iljin on Biochemical and Histological Parameters in Rats
Authors: Kloub Suad M. , Banihani Saleem A. , Atrooz Omar M. , Hananeh Wael M.
Published: March 2022

This work investigates the effect of the alcoholic extract of Anabasis syriaca Iljin on biochemical and histological parameters in male rats. The lethal dose (50% of the plant extract) was assessed, and three separate doses (1/10th, 1/15th, and 1/20th) were orally gavaged for two weeks into three study groups of animals (five rats in each group), with one group used as a control and gavaged normal saline via the same route. Blood was collected after overnight fasting, and 24 biochemical parameters were evaluated. The gross and microscopic findings were reported after the collection of specimens from the animals and processed routinely for standard histological procedures. Among all tested biochemical parameters, a significant increase was noted in fasting serum glucose (

p
≤
0.010

), troponin (

p
≤
0.001

), and creatine kinase (

p
≤
0.001

), while a significant decrease was found in triglycerides (

p
≤
0.001

) and low-density lipoprotein (

p
=
0.001

). On the other hand, no significant histopathological lesions were present within the examined tissues of all groups. In conclusion, ethanolic extract of Anabasis syriaca negatively affected the cardiac function of male rats and increased their serum glucose but reduced their serum triglycerides and low-density lipoprotein.
Intelligent Target Detection and Tracking Algorithm for Martial Arts Applications
Authors: Tang Zhiyun
Published: March 2022

Moving object detection and tracking is the basis and key technology for intelligent video surveillance, human-computer interaction, mobile robot and vehicle visual navigation, industrial robot system, and other applications. It has important applications in intelligent monitoring, human-computer interaction, visual navigation, and so on. Intelligent technology can greatly facilitate the monitoring of countless targets. This paper adopts the random motion model to describe the motion state of the target. Based on wireless communication and information security, this paper studies the communication and information security of the intelligent system of martial arts target detection and tracking algorithm, and the basic idea of mean-shift tracking algorithm is to use gradient climbing of probability density to find local optimal. This paper uses the background subtraction method based on the vibe algorithm to obtain the binary image of the foreground object; the shadow detection algorithm is used to remove the shadow of the foreground image; the haar-like (Haar) feature is selected as the feature of motion detection, and the feature value of the rectangular area is quickly calculated to describe the adjacent image area. The difference between the features, the final result image, and then the intelligent system for analysis. Experimental data shows that the time consumed by the tracking algorithm is less than 20 ms, which can meet the real-time requirements of ordinary target tracking systems. The average processing time of the hybrid modeling method is 62.8 ms, and the detection rate is 15.92 frames/SEC. The results show that the algorithm improves the utilization of particles, greatly reduces the complexity, and reduces the degradation of the particle filter.
Performance Characterization of a Solar Cavity Collector Using Artificial Neural Network
Authors: Lakshmipathy B. , Sivakumar K. , Senthilkumar M. , Kajavali A. , Singh S. Christopher Ezhil , Murugan Sivaraj
Published: March 2022

It is mandatory to improve the design of the flat plate collector (FPC) used for solar thermal applications to perform well. One way to improve the performance characteristics of FPC is to retain the heat energy available inside the collector. That is, a collector should be capable to give more heat energy to working fluid for a longer duration. It has been implemented in such a way in an entertained and improved model which is known as solar cavity collector (SCC). It consists of 5 numbers of cavities equipped with inlet and outlet tubes. The same having with an enclosure has been constructed and investigated to find the optimal performance. In general, the physical dimensions of the collector influence more the functioning behaviors of SCC. The performance variables that are considered for the present study are the comparison between 5 and 7 numbers of cavities and the effect of aperture entry. Collector angle of tilt, two types of flow mode, and water mass flow rates are the other performance variables that are also considered. The data from the experimentations are trained, tested, and validated with the help of the artificial neural network (ANN). The accuracy of the model is 96%, and the end results revealed the same trend followed by both experimental and ANN simulation results. Also, the variations that occur between ANN and experimented results are ±4%.
Epigenome-Wide Association Study Reveals Differential Methylation Sites and Association of Gene Expression Regulation with Ischemic Moyamoya Disease in Adults
Authors: He Shihao , Ye Xun , Duan Ran , Zhao Yahui , Wei Yanchang , Wang Yanru , Liu Ziqi , Hao Xiaokuan , Chen Xiaolin , Hao Qiang , Wang Hao , Zhao Yuanli , Wang Rong
Published: March 2022

Background. The association of DNA methylation with the pathogenesis of adult ischemic moyamoya disease (MMD) is unknown. Here, we investigated the genome-wide DNA methylation profiles in patients with MMD and identified the genes related to the pathogenesis of MMD. Methods. Whole blood samples were collected from 20 individuals, including 10 patients with ischemic moyamoya disease without any underlying disease and 10 healthy individuals. Genome-wide DNA methylation analysis was performed using Illumina 850K microarrays. Transcriptional correlation was verified using quantitative reverse transcription-polymerase chain reaction. In vitro experiments were used to analyze the association of functional defects with candidate epigenetic markers. Results. The genome-wide methylation level in the whole blood of adults with ischemic MMD was higher than that in the healthy individuals. In total, 759 methylation probes differed significantly between the case and control. The hypermethylated regions were mostly concentrated in the gene spacer regions. Among genes with the highest degree of the differential expression, KCNMA1 and GALNT2 were upregulated, whereas SOX6 and RBM33 were downregulated. Conclusions. This is the first study showing that the low expression of genes associated with epigenetic regulation, such as SOX6 and RBM33, may be related to vascular occlusion in MMD, whereas the overexpression of KCNMA1 and GALNT2 may be related to the vascular hyperplasia. The results suggest that DNA methylation was involved in the pathogenesis of MMD, and new pathogenic genes were proposed as biological markers.