bluuebunny/crossref_metadata_2025 huggingface dataset:
Fracture Analysis of Compacted Clay Soil Beams with Offset Notches Based on Three‐Point Bending Test: Experimental Characterization and Numerical Simulation
Authors: Fang Liangfei , Cao Chengmao , Li Qing , Qin Kuan , Sun Xingdong , Ge Jun
Published: January 2022

The design and performance of tillage components such as subsoiler are generally characterized by the fracture features of soil mass in agricultural engineering, thus making the improvements of those tillage tools challenging due to the fact that the soil fracture mechanisms cannot be accurately explored and implemented. To alleviate this issue, in this paper, a physical three‐point bending (TPB) test is conducted for investigating the fractural and fragmental characteristics of the compacted clay beams (CCB) with offset notches under the framework of mixed‐mode I + II fracture, and the crack initiation as well as its propagation of the CCB is observed and fractural mechanisms of the CCB are discussed. Meanwhile, numerical simulation is also conducted utilizing two finite element methods, i.e., the extended finite element method (XFEM) and the combined finite‐discrete element method (FDEM), for the CCB under three typical scenarios with notch offset ratios C = 0, C = 0.375, and C = 0.625, respectively. The authenticity and availability of both experimental test and numerical simulation are validated correspondingly. Results indicate the following: (1) The average peak load, the distance between the terminal crack point and the center line of the CCB, and the average displacement will be increased with increases of the offset ratio, while initial crack angle will be decreased with increases of the offset ratio. (2) The initial crack will be extended from the bottom center of the CCB rather than the offset notch when the offset ratio is higher than 0.717. (3) The crack propagation and its mechanical properties (e.g., load‐displacement curves) predicted by numerical simulation match well with those obtained from the physical test.
Analytical Modeling of Transverse Vibrations and Acoustic Pressure Mitigation for Rotating Annular Disks
Authors: Norouzi Hamed , Younesian Davood
Published: January 2022

This paper gives an analytical approach for investigating free and forced transverse vibrations of a clamped-free rotating annular disk and obtaining the acoustic pressure distribution around the spinning disk. In the beginning, a modal analysis based on new analytical methods is carried out to find natural frequencies and mode shapes of the disk. Forced vibration of the disk is then investigated using Galerkin’s method. An analytical approach based on Laplace transformation is used to obtain time-dependent coefficients of the transverse response. A passive control strategy is examined for reducing the amplitudes of the transverse vibrations. The properties of the absorbers are examined in order to obtain the best performance. Rayleigh integral method and Durbin’s numerical Laplace transform inversion technique are adopted to compute the acoustic pressure around the rotating disk. Finally, a parametric study is performed and the effects of the design parameters as well as rotational conditions on the vibrational responses and the sound pressure of the spinning disk are examined.
Construction and Comprehensive Prognostic Analysis of a Novel Immune-Related lncRNA Signature and Immune Landscape in Gastric Cancer
Authors: Liang Xiaolong , Zha Lang , Yu Gangfeng , Guo Xiong , Qin Chuan , Cheng Anqi , Wang Ziwei
Published: January 2022

Gastric cancer (GC) is a malignant tumor with high mortality and poor prognosis. Immunotherapies, especially immune checkpoint inhibitors (ICI), are widely used in various tumors, but patients with GC do not benefit much from immunotherapies. Therefore, effective predictive biomarkers are urgently needed for GC patients to realize the benefits of immunotherapy. Recent studies have indicated that long noncoding RNAs (lncRNAs) could be used as biomarkers in the immune landscape of multiple tumors. In this study, we constructed a novel immune-related lncRNA (irlncRNA) risk model to predict the survival and immune landscape of GC patients. First, we identified differentially expressed irlncRNAs (DEirlncRNAs) from RNA-Seq data of The Cancer Genome Atlas (TCGA). By using various algorithms, we constructed a risk model with 11 DEirlncRNA pairs. We then tested the accuracy of the risk model, demonstrating that the risk model has good efficiency in predicting the prognosis of GC patients. Inner validation sets were further used to confirm the effectiveness of the risk model. In addition, our risk model has a preferable performance in predicting the immune infiltration status of tumors, immune checkpoint status of the patients, and immunotherapy score. In conclusion, our risk model may provide insights into the prognosis of and immunotherapy strategy for GC.
Hematological Inflammatory Markers in Patients with Clinically Confirmed Familial Hypercholesterolemia
Authors: Vaseghi Golnaz , Heshmat-Ghahdarijani Kiyan , Taheri Marzieh , Ghasempoor Ghazal , Hajian Shabnam , Haghjooy-Javanmard Shaghayegh , Aliyari Roqayeh , Shafiee Zahra , Shekarchizadeh Masoud , Pourmoghadas Ali , Sarrafzadegan Nizal
Published: January 2022

Background and Aims. Familial hypercholesterolemia (FH) is an autosomal dominant genetic disorder of lipid metabolism which leads to premature cardiovascular diseases. In patients with FH, blood inflammatory markers may be disrupted; however, its extent is unclear. In this study, we aimed to evaluate the NLR (neutrophil to lymphocyte ratio), PLR (platelet count to lymphocyte count ratio), MPV (mean platelet volume), RPR (red blood cell distribution width to platelet count ratio), WBC (white blood cell), and PDW (platelet distribution width and platelet count). Methods. The patients were selected from laboratories due to high cholesterol level and who had history of premature cardiovascular disease. The Dutch Lipid Clinic Network (DLCN) criteria are used for the detection of FH. Controls had a history of hyperlipidemia, and both groups could be on pharmacotherapy or not. All the biochemical markers were evaluated using appreciate methods. Statistical analysis was done using STATA 14. Results. The study group consisted of 1074 patients with FH and 473 control cases. Of the CBC inflammatory markers, only PLR was significantly (p value = 0.003) higher in FH patients (7.96 ± 10.08) compared to non‐FH (6.45 ± 2.44). In FH patients, the PLR was significantly higher in probable/definite FH group (9.70 ± 14.06) compared to possible FH (7.36 ± 8.23) (p value < 0.001). Linear regression analysis showed that only RLR was independently associated with total cholesterol (b = 0.000, p = 0.13). Conclusions. Our results may show the importance of high cholesterol on platelet activity and highlight the use of lipid lowering drugs in patients with hyperlipidemia.
Experience Mode of Digital Media Art under Virtual Reality Technology
Authors: Wu Xingming , Li Yehan
Published: January 2022

With the progress of the country’s comprehensive strength and scientific strength, the development of science and technology has brought tremendous changes to people’s lives and at the same time brought information dissemination and media methods to a new stage. This article integrates VR technology into your digital media art experience. This combination not only reduces the distance between the experience and the art but also allows the experiencers to better understand what the artist wants to convey in the artwork. Virtual reality technologies and experts have shifted from bystanders to participants and experiencers. This is a brand new experience. It dispels our previous experience based on visual experience and forms a new form of experience. The final results of the study showed that the scores of the three classes of cognitive experience were 4.8, 4.6, and 4.7, with an average score of 4.7. With a full score of 5, the scores in the three dimensions are very high, indicating that this digital media art interactive experience design has brought students a good sensory experience, interactive experience, and cognitive experience.
Superoxide Dismutase Prevents SARS-CoV-2-Induced Plasma Cell Apoptosis and Stabilizes Specific Antibody Induction
Authors: Mo Li-Hua , Luo Xiang-Qian , Ma Ke , Shao Jian-Bo , Zhang Guo-Hao , Liu Zhi-Gang , Liu Da-Bo , Zhang Huan-Ping , Yang Ping-Chang
Published: January 2022

The infection of coronavirus disease (COVID-19) seriously threatens human life. It is urgent to generate effective and safe specific antibodies (Abs) against the pathogenic elements of COVID-19. Mice were immunized with SARS-CoV-2 spike protein antigens: S ectodomain-1 (CoV, in short) mixed in Alum adjuvant for 2 times and boosted with CoV weekly for 6 times. A portion of mice were treated with Maotai liquor (MTL, in short) or/and heat stress (HS) together with CoV boosting. We observed that the anti-CoV Ab was successfully induced in mice that received the CoV/Alum immunization for 2 times. However, upon boosting with CoV, the CoV Ab production diminished progressively; spleen CoV Ab-producing plasma cell counts reduced, in which substantial CoV-specific Ab-producing plasma cells (sPC) were apoptotic. Apparent oxidative stress signs were observed in sPCs; the results were reproduced by exposing sPCs to CoV in the culture. The presence of MTL or/and HS prevented the CoV-induced oxidative stress in sPCs and promoted and stabilized the CoV Ab production in mice in re-exposure to CoV. In summary, CoV/Alum immunization can successfully induce CoV Ab production in mice that declines upon reexposure to CoV. Concurrent administration of MTL/HS stabilizes and promotes the CoV Ab production in mice.
A Review of Key Technologies Development of Super High‐Rise Building Construction in China
Authors: Gong Jian , Fang Tingchen , Zuo Junqing
Published: January 2022

Super high‐rise building is a typical architectural form of urban modernization, and it is also the trend of urban architectural development. This paper reviews the development history of super high‐rise buildings in China combined with the engineering practice of representative super high‐rise buildings since the 1980s, such as the Shanghai Center, Shanghai Oriental Pearl Tower, Jinmao Tower, Shanghai World Financial Center, Canton Tower, and Shanghai Tower. The development process of the key technologies of super high‐rise projects from the aspects of several technologies, such as soft soil pile foundation and foundation pit technology, concrete structure construction technology, integral formwork equipment technology, and steel structure comprehensive installation technology, is also elaborated. At the same time, the Shanghai Tower is selected as a typical case to share the innovative technology of China’s tallest building. Finally, prospects for development of super high‐rise construction technology are presented.
Yield, Yield Components, and Nutritive Value of Perennial Forage Grass Grown under Supplementary Irrigation
Authors: Faji Mulisa , Kebede Gezahagn , Feyissa Fekede , Mohammed Kedir , Mengistu Gezahegn
Published: January 2022

There is a distinct seasonality in the availability of feeds in the highlands of Ethiopia, reaching a peak and low levels towards the end of the rainy and dry season, respectively. Consequently, this trial was conducted to assess the yield performance and nutritive value of nine perennial grasses accessions from seven grass species under supplementary irrigation to produce feed year-round. The evaluated grasses species were two Urochloa (U. decumbens cv. ILRI-10871 and ILRI-13205), two Setaria (S. sphacelata cv. ILRI-143 and ILRI-6543), one Phalaris (Phalaris aquatica cv. Sirrosa), coloured Guinea (Panicum coloratum cv. Coloratum), Desho (Pennisetum glaucifolium cv. Kindu kosha), Napier (Pennisetum purpureum cv, ILRI-16791), and Rhodes (Chloris gayana cv. Massaba) variety. The experiment was carried out in a randomized complete block design. The chemical compositions of the grasses were scanned by, the near infrared spectroscopy (NIRS). Results indicated that the plant height, dry matter, and crude protein yield were significantly affected by year, species (

P
<
0.001

), and their interaction (

P
<
0.05

). Moreover, species were significantly influenced in vitro dry matter digestible yield, relative feed value, and nutrient content (DM, CP, NDF, ADF, ADL, and IVDMD). Napier grass had superior in dry matter, crude protein, and in vitro dry matter digestible yield than the other perennial grasses species tested together. Thus, among the tested grasses species, Napier grass showed outstanding potential as a forage plant followed by Phalaris and Desho grass under supplementary irrigation in the central highland of Ethiopia.
Emodin Attenuates the ECM Degradation and Oxidative Stress of Chondrocytes through the Nrf2/NQO1/HO‐1 Pathway to Ameliorate Rat Osteoarthritis
Authors: Ma Tianwen , Ma Yuanqiang , Yu Yue , Jia Lina , Lv Liangyu , Song Xiaopeng , Tang Jilang , Xu Xinyu , Sheng Xuanbo , Li Ting , Gao Li
Published: January 2022

Osteoarthritis (OA) substantially reduces the quality of life of the elderly. OA therapy remains a challenge since no treatment options for its causes are so far available. Over recent years, researchers have speculated that emodin may represent a potential treatment strategy for OA. However, it remains unclear whether the mechanism of action of emodin is associated with the inhibition of OA‐induced oxidative stress. In the present study, the potential antioxidant mechanism of action of emodin and its protective properties against the development of OA were investigated both in vitro and in vivo. In vitro, emodin inhibited the production of reactive oxygen species (ROS) in chondrocytes induced by hydrogen peroxide (H2O2) and reduced the expression of matrix metalloproteinase (MMP)3 and MMP13 in a concentration‐dependent manner. It was found that emodin upregulated the Nrf2/NQO1/HO‐1 pathway, thereby attenuating the effects of oxidative stress caused by OA. In a rat model of posttraumatic OA induced by anterior cruciate ligament transection (ACLT), emodin reduced the extent of joint swelling. Emodin attenuated oxidative damage in the cartilage by upregulating superoxide dismutase (SOD), catalase (CAT), and glutathione (GSH) activity, reducing malondialdehyde (MDA) concentration and inhibiting the expression of the extracellular matrix (ECM) degradation biomarkers cartilage oligomeric matrix protein (COMP), and C‐terminal telopeptide of type I collagen (CTX‐I) and type II collagen (CTX‐II), thereby reducing cartilage damage. In summary, the present study indicates that emodin reduces ECM degradation and oxidative stress in chondrocytes via the Nrf2/NQO1/HO‐1 pathway, thereby ameliorating OA in rats.
Application of Computer Simulation in Innovation and Entrepreneurship Teaching Reform of Economics and Management Specialty
Authors: Liu Li , Zhang Cuifang , Wu Tong
Published: January 2022

Innovation is the source and power of national development. Innovation and entrepreneurship education is the top priority of social construction and development and has become an important part of entrepreneurs. With the rapid development of economy, the society’s demand for talents with innovation ability and practical ability is more urgent. Therefore, the teaching reform of blazing new trails and starting an undertaking for economics and management majors has become the top priority. The economics and management major should conform to the social era and the development of education and carry out blazing new trails and starting an undertaking teaching reform. On the foundation of broad research and analysis, according to the teaching situation of the economics and management major, this article carries out the blazing new trails and starting an undertaking teaching reform of the economics and management major. This study first puts forward the idea of blazing new trails and starting an undertaking education and computer simulation teaching model, then designs the educational method of blazing new trails and starting an undertaking education reform for college students, then constructs an entrepreneurial model for economics and management majors, and finally uses computer simulation technology to simulate it to understand the evaluation of various operating strategies of the teaching system. Through the questionnaire survey experiment, this study makes statistics on the current situation of students majoring in economics and management participating in blazing new trails and starting an undertaking activity and their views on the reform of blazing new trails and starting an undertaking education. For the experiment, first economics and management is understood, the experiment is designed, a digital model of the teaching process is constructed, a statistics of the experimental data is made, and the obtained data to verify the model are used. After collecting and analyzing the results of the questionnaire, the effective rate of the questionnaire was 97.4%. Under the idea of blazing new trails and starting an undertaking education, the teaching reform of economics and management specialty in colleges should be carried out according to the situation of students in different grades and construct computer simulation experiment teaching through simulation technology, which is conducive to the innovative talent training.
Bidirectional Quadratic Converter-Based PMBLDC Motor Drive for LEV Application
Authors: Kumar Mukesh , Chaudhary Kalpana , Saket R. K. , Khan Baseem
Published: January 2022

In this study, a bidirectional DC-to-DC quadratic converter (BDQC) is designed and developed for the motoring and regenerative braking (RB) of a permanent magnet brushless DC (PMBLDC) motor for a light electric vehicle (LEV) application. A PMBLDC motor is deemed more suitable for an electric vehicle (EV) due to its high efficiency and torque density. In the present work, a BDQC of 1 kW is designed to drive a 1.1 HP PMBLDC motor through a conventional voltage source inverter (VSI). An EV’s load cycle is emulated using a highly inertial load driven by a PMBLDC motor during the converter’s boost mode operation. RB is a crucial factor in extending the driving range of EVs by efficiently utilizing battery power. The converter operates in buck mode during RB, and simultaneously, the back electromotive force (EMF) of the PMBLDC machine is boosted by the self-inductance of the PMBLDC motor and the VSI. The braking technique used in this work eliminates the traditional drawback of RB in buck mode, as the power is extracted even when the motor’s back EMF is lower than the battery’s voltage. The control strategy has been implemented using the TMS320F28335 DSP controller for a developed converter prototype of the converter and driving the PMBLDC motor. The experimental results are compared to the simulation results, and a good alignment has been found.
[Retracted] Analysis of Factors Influencing Stock Market Volatility Based on GARCH‐MIDAS Model
Authors: Ma Dan , Yang Tianxing , Liu Liping , He Yi
Published: January 2022

This paper further extends the existing GARCH‐MIDAS model to deal with the effect of microstructure noise in mixed frequency data. This paper has two highlights. First, according to the estimation of the long‐term volatility components of the GARCH‐MIDAS model, rAVGRV is adopted to substitute for the RV estimator. rAVGRV uses the rich data sources in tick‐by‐tick data and significantly corrects the impact of the microstructure noise on volatility estimation. Second, besides introducing macroeconomic variables (i.e., macroeconomic consistency index (MCI), deposits in financial institutions (DFI), industrial value‐added (IVA), and M2), Chinese Economic Policy Uncertainty (CEPU) index and Infectious Disease Equity Market Volatility Tracker (EMV) are introduced in the long‐run volatility component of the GARCH‐MIDAS model. As indicated by the results of this paper, the rAVGRV‐based GARCH‐MIDAS is slightly better than the RV model‐based GARCH‐MIDAS. In addition to the common macroeconomic variables significantly impacting stock market volatility, CEPU also substantially impacts stock market volatility. Nevertheless, the effect of EMV on the stock market is insignificant.
The Hypoxia-Related Gene COL5A1 Is a Prognostic and Immunological Biomarker for Multiple Human Tumors
Authors: Zhu Hua , Hu Xinyao , Feng Shi , Jian Zhihong , Xu Ximing , Gu Lijuan , Xiong Xiaoxing
Published: January 2022

Background. Collagen type V alpha 1 chain (COL5A1) is a hypoxia-related gene (a collagen family protein) and participates in the formation of the extracellular matrix. Although some evidence supports a significant role for COL5A1 in the progression of several cancers, a pan-cancer analysis of COL5A1 is not currently available. Herein, we aimed to assess the prognostic value of COL5A1 in 33 human cancers and to investigate its underlying immunological function. Methods. Through multiple bioinformatics methods, we analyzed the data from Oncomine, TCGA, CCLE, HPA, DNMIVD, and cBioPortal database to explore the potential underlying carcinogenic effect of COL5A1, including the relevance of COL5A1 to the outcome, DNA methylation, tumor microenvironment, immune cells infiltration, and drug sensitivity in 33 human cancers. The effects of COL5A1 on glioma cell proliferation, migration, and invasion were verified in cellular experiments. Results. Our findings indicated that COL5A1 was expressed at high levels in 13 cancers and was negatively related to the prognosis of 11 cancers. Additionally, COL5A1 was coexpressed with genes encoding the major histocompatibility complex, immune activators, immune suppressors, chemokines, chemokine receptors, mismatch repair genes, and immune checkpoints. We also identified different roles for COL5A1 in the immunocyte infiltration in different cancers. The correlation between COL5A1 and drug sensitivity was found in several cancers. COL5A1 potentially influenced the tumor progression through immune-related pathways, negative regulation of immune system processes, chemokine signaling pathways, JAK-STAT pathways, T cell receptor pathways, lymphocyte migration, and antigen processing and presentation, among other processes. Conclusions. Based on our study, COL5A1 may be employed as a prognostic marker in different malignancies because of its impact on tumorigenesis and immune cell infiltration and have implications for cancer immune checkpoint inhibitors and chemotherapy.
Predicting the Remaining Service Life of Civil Airport Runway considering Reliability and Damage Accumulation
Authors: Wei Baoli , Guo Chengchao
Published: January 2022

Based on the MEPDG method, the operation process of MEPDG was analyzed and the MEPDG correction method applied to the remaining life prediction of airport pavement was obtained. According to the theory of structural reliability, the performance function of airport pavement was obtained based on the limit state equation represented by flexural stress. Considering the characteristics of airport cement concrete pavement design, the calculation formula of the number of allowable load actions was obtained based on reliability by NCHRP126 fatigue equation without considering the temperature stress when the flexural fatigue strength of pavement plate cement concrete was less than 1.25 times of the design strength. Based on the actual situation of local civil airport runways in Henan Province, the proposed MEPDG correction method was used to analyze the flexural stress of the actual operating airport runway pavement at 95% reliability level based on the mechanical numerical model of airport runway, and the number of allowable load actions of three aircraft models was obtained. Given the impact of pass-to-coverage ratio P/C, the cumulative damage factor CDF of the major aircraft models was calculated; the annual average growth rate of different aircraft models in the airport pavement evaluation stage was obtained based on the trend extension method. According to the predicted average annual cumulative damage, the remaining life of pavement was predicted. Compared with the actual conditions of the airport, the remaining life predicted in this paper was consistent with the actual life, which verifies the effect of the prediction of the remaining life of airport runway considering the impact of reliability and damage accumulation.
NR2F1-AS1 Acts as an Oncogene in Breast Cancer by Competitively Binding with miR-641
Authors: Zhong Yan , Zeng Weiwei
Published: January 2022

Background. Long noncoding RNA (lncRNA) NR2F1-AS1 has been previously reported to be dysregulated in human cancers and implicated in the tumorigenesis and development of tumors. In this research, we detected the expression level and biological function of NR2F1-AS1 in breast cancer (BC). Methods. The expression of NR2F1-AS1 in BC tissues and cell lines was determined by qRT-PCR analysis. The associations of NR2F1-AS1 expression with clinical characteristics and survival rate of BC patients were also analyzed. Cell proliferation, migration, and invasion were measured by the CCK-8 and Transwell assay. Results. The results revealed that the total survival time of BC patients with high NR2F1-AS1 expression was lower than that of BC patients with low NR2F1-AS1 expression. Moreover, functional experiments demonstrated that knockdown of NR2F1-AS1 inhibited BC cell viability, migration, and invasion abilities, whereas overexpression of NR2F1-AS1 had the opposite effect. Mechanistic investigation revealed that NR2F1-AS1 can competitively bind with microRNA-641 (miR-641) in BC. These results revealed that NR2F1-AS1 functioned as an oncogene by sponging miR-641 expression in BC cell progression. Moreover, miR-641 was negatively correlated with NR2F1-AS1 in BC tissues. Conclusion. Hence, NR2F1-AS1 was found to act as an oncogene in breast cancer by suppressing miR-641. We suggested that NR2F1-AS1 could be a potential biomarker for BC diagnosis and therapy.
Internet of Things-Based Data Hiding Scheme for Wireless Communication
Authors: Shobanadevi A. , Maragathm G. , Gangadharan Syam Machinathu Parambil , Soni Mukesh , Kumar Rohit , Tran Tien Anh , Singh Bhupesh Kumar
Published: January 2022

The substantial rise of information technology has facilitated the methods of access to digital information and internet of things (IOT). Digital image processing handles the digital material to store and distribute more effectively with decreased time and space complexity. However, these tactics undermine the privacy of digital materials. A recent study focuses on shielding digital materials from illicit use and distribution by making reversible data strategies to tackle the risk of privacy breaches for digital content. In this study, a composite reversible data hiding (CRDH) approach is suggested. CRDH employed the integer wavelet transform (HAAR transform) with the HH band’s eigenvalue decomposition. The suggested CRDH first performed the IWT transformation on the cover image (CI) and parsed it into four consecutive frequency subbands, namely, LL, HL, LH, and HH. Sensitive data of the proposed approach are incorporated by merging the HH band of the cover image’s individual values with the encrypted eigenvalues of the confidential data. The choosing of casing art is such a method that values are within a range. The confidential data picture and HH band’s frequency band are roughly the same; thus, modifying the individual values will not affect the quality of the confidential data image and the HH band’s content. The suggested strategy’s primary purpose is to design a data concealing technique that hinders the verification of digital information by maintaining a high rate of peak signal-to-noise ratio (PSNR). The PSNR of the existing technology is less than 50 per cent of the total accessible data set. The PSNR value shows the picture’s visual quality, where the PSNR increases the better image quality. Therefore, concealing data is essential for the technique that inhibits authentication and keeps a high rate of PSNR. The suggested approach fulfils this aim, gets a PSNR rate of above 50 per cent, and hits 59 per cent for line.
Bioactive Constituents and Toxicological Evaluation of Selected Antidiabetic Medicinal Plants of Saudi Arabia
Authors: Alqahtani Ali S. , Ullah Riaz , Shahat Abdelaaty A.
Published: January 2022

The purpose of this review is to summarize the available antidiabetic medicinal plants in the Kingdom of Saudi Arabia with its phytoconstituents and toxicological findings supporting by the latest literature. Required data about medicinal plants having antidiabetic activities and growing in the Kingdom of Saudi Arabia were searched/collected from the online databases including Wiley, Google, PubMed, Google Scholar, ScienceDirect, and Scopus. Keywords used in search are in vivo antidiabetic activities, flora of Saudi Arabia, active ingredients, toxicological evaluations, and medicinal plants. A total of 50 plant species belonging to 27 families were found in the flora of Saudi Arabia. Dominant family was found Lamiaceae with 5 species (highest) followed by Moraceae with 4 species. β-Amyrin, β-sitosterol, stigmasterol, oleanolic acid, ursolic acid, rutin, chlorogenic acid, quercetin, and kaempferol are the very common bioactive constituents of these selected plant species. This paper has presented a list of antidiabetic plants used in the treatment of diabetes mellitus. Bioactive antidiabetic phytoconstituents which showed that these plants have hypoglycemic effects and highly recommended for further pharmacological purposes and to isolate/identify antidiabetes mellitus (anti-DM) active agents also need to investigate the side effects of active ingredients.
MiR-766-3p Suppresses Malignant Behaviors and Stimulates Apoptosis of Colon Cancer Cells via Targeting TGFBI
Authors: Gao Jianchao , Fei Lexue , Wu Xiaotang , Li Hua
Published: January 2022

Background. MicroRNAs (miRNAs) can affect the progression of colon cancer cells. A variety of miRNAs, especially miR-766-3p, are proved to be abnormally expressed in colon cancer, but the molecular mechanism of miR-766-3p in this cancer has not yet been fully defined. Methods. Differentially expressed genes in the TCGA-COAD dataset were searched through bioinformatics analysis. MiR-766-3p and TGFBI mRNA levels were measured by qRT-PCR. TGFBI protein expression was measured via Western blot. Targeting relation between miR-766-3p and TGFBI was investigated by dual-luciferase reporter gene assay. Cell proliferation, invasion migration, and apoptosis were detected by cell functional assays. Results. MiR-766-3p was less expressed, while TGFBI was conspicuously highly expressed in colon cancer. MiR-766-3p high expression suppressed cell malignant behaviors and induced cell apoptosis in colon cancer. MiR-766-3p had a targeting relation with TGFBI verified by dual-luciferase assay. The cancer-suppressive impact of miR-766-3p overexpression was attenuated by overexpressing TGFBI. Conclusions. MiR-766-3p/TGFBI axis suppressed malignant behaviors and facilitated apoptosis of colon cancer cells. MiR-766-3p may be an underlying target for colon cancer.
Extent of Home Delivery among Women Who Gave Birth in the Last One Year in Serbo, Kersa Woreda, Jimma Zone, Oromia Region, Southwest Ethiopia
Authors: Terefe Gemechu , Teha Ahmedin , Diribsa Tujuba , Abdisa Daba
Published: January 2022

Background. Home delivery is childbirth in a nonclinical setting that takes place in a residence rather than in a health institution. Maternal morbidity and mortality are global health challenges, and developing countries contribute to most of the maternal deaths. Objective. This study aimed to assess the extent and associated factors for home delivery in Serbo, Kersa Woreda, Jimma Zone, Southwest Ethiopia. Method. A community-based cross-sectional study was employed among the 240 study participants. Data were collected by using systematic sampling technique from July 5 to 26, 2021, via a pretested semistructured questionnaire through face-to-face interview, and analyzed by a statistical package for the social sciences version 23.0. Bivariable and multivariable logistic regression analyses were carried out to identify factors associated with the extent of home delivery, and factors associated with the extent of home delivery were declared at a

p

value <0.05. ResultIn this study, the extent of home delivery was 28.7%. Identified factors statically associated with home delivery were low monthly income (AOR = 16.7, 95% CI: (2.028–13,83)), only the husband as the decision-maker (AOR = 5.0, 95% CI: (1.252–20.021)), never had a history of ANC follow-up (AOR = 5.7, 95% CI: (2.358–16.3)), poor knowledge toward delivery service (AOR = 3.0, 95% CI: (1.661–5.393)), negative attitude toward delivery service (AOR = 2.2, 95% CI: (1.054–4.409)), and large family size (AOR = 2.2, 95% CI: (1.187–4,119)). Conclusion. When compared to the Ethiopian Demographic and Health Survey 2016, the prevalence of home delivery among women who gave birth in the last one year was low in this study. The study participants’ identified factors that were significantly linked with home delivery were low monthly income, only husband as decision maker, no ANC follow-up, poor knowledge of delivery services, negative attitude toward delivery services, and large family size. Health professionals and health extension workers should raise awareness about institutional delivery and birth readiness so that women can give birth at a health facility even if labor begins unexpectedly.
Numerical Study of the Flow of Two Radiative Nanofluids with Marangoni Convection Embedded in Porous Medium
Authors: Gupta Ravi , Gaur Manish , Al-Mdallal Qasem , Purohit Sunil Dutt , Suthar Daya Lal
Published: January 2022

The aim of this study is to investigate the flow of two distinct nanofluids over a stretching surface in a porous medium with Marangoni convection. This investigation is studied under the effect of thermal radiation. Here, we have considered Fe3O4 and ZrO2 nanosized particles suspended in engine oil (EO) base fluid. For the numerical simulation of the flow, the fourth‐order Runge‐Kutta method and suitable similarity solutions were used. Numerical solutions with graphical representation are presented. Fe3O4/EO nanofluid is more significant in the cooling process in comparison to ZrO2/EO nanofluid. With increased radiation and temperature ratio parameters, a decrement in the temperature field has been noticed for both nanofluids. For increased values of volume friction parameter, a decrement is noticed for velocity profile and increment is noted for temperature profiles for both nanofluids. Also, a reduced velocity profile can be obtained with increased porosity parameter.
Electronic Nose for Differentiation and Quantification of Yeast Species in White Fresh Soft Cheese
Authors: Abu-Khalaf Nawaf , Masoud Wafa
Published: January 2022

Detection of food spoilage with simple and fast methods is an important issue in food security and safety. The present study is mainly aimed at identifying and quantifying four yeast species in white fresh soft cheese using an electronic nose (EN). The yeast species Pichia anomala, Pichia kluyveri, Hanseniaspora uvarum, and Debaryomyces hansenii were used. Six concentrations of each yeast species (100, 200, 400, 600, 800, and 1000 cells/g cheese) were inoculated in 100 g of fresh soft cheese and incubated for 48 h at 25°C. The EN was used to identify and quantify different yeast species in cheese samples. It was found that EN was able to discriminate between four yeast species using principal component analysis (PCA). Moreover, EN was able to quantify in good precision three (Pichia anomala, Pichia kluyveri, and Debaryomyces hansenii) of the four tested yeasts presented in cheese samples using partial least squares (PLS) models. It seems that EN is a reliable tool that can be used as a fast technique to identify and quantify cheese spoilage in the cheese industry.
[Retracted] Segmentation of Breast Masses in Mammogram Image Using Multilevel Multiobjective Electromagnetism‐Like Optimization Algorithm
Authors: Ittannavar S. S. , Havaldar R. H.
Published: January 2022

In recent times, breast mass is the most diagnostic sign for early detection of breast cancer, where the precise segmentation of masses is important to reduce the mortality rate. This research proposes a new multiobjective optimization technique for segmenting the breast masses from the mammographic image. The proposed model includes three phases such as image collection, image denoising, and segmentation. Initially, the mammographic images are collected from two benchmark datasets like Digital Database for Screening Mammography (DDSM) and Mammographic Image Analysis Society (MIAS). Next, image normalization and Contrast‐Limited Adaptive Histogram Equalization (CLAHE) techniques are employed for enhancing the visual capability and contrast of the mammographic images. After image denoising, electromagnetism‐like (EML) optimization technique is used for segmenting the noncancer and cancer portions from the mammogram image. The proposed EML technique includes the advantages like enhanced robustness to hold the image details and adaptive to local context. Lastly, template matching is carried out after segmentation to detect the cancer regions, and then, the effectiveness of the proposed model is analysed in light of Jaccard coefficient, dice coefficient, specificity, sensitivity, and accuracy. Hence, the proposed model averagely achieved 92.3% of sensitivity, 99.21% of specificity, and 98.68% of accuracy on DDSM dataset, and the proposed model averagely achieved 92.11% of sensitivity, 99.45% of specificity, and 98.93% of accuracy on MIAS dataset.
Research on Village Planning and Rural Architectural Design Based on Discrete Dynamic Modeling Technology
Authors: Lin Junhang
Published: January 2022

With the advent of the era of big data, the combination of science and technology and urban and rural planning has become the focus of many countries. The improvement of village planning and the redesign of rural buildings can promote the rapid development of villages and strengthen rural cohesion. Based on the above situation, this paper proposes a dynamic programming algorithm combined with discrete dynamic modeling technology to improve rural planning. Firstly, the dynamic programming algorithm is used to reconstruct the village layout and optimize the original village model. The dynamic monitoring technology is used to update the dynamic data in real time to provide specific information for the follow-up rural architectural design. Secondly, the dynamic modeling technology is used to build the building model, which can calculate the building location and building angle of the village. In order to further improve village development, we also put forward the concept of green building design. The performance of traditional modeling technology and discrete dynamic modeling technology in the green building design model is compared. The results show that the discrete dynamic modeling technology can improve the overall performance of rural buildings and improve the operation efficiency of the system in the batch design of green buildings. The village layout improved by dynamic planning reduces the specific travel distance of villagers and provides effective help for rural construction and economic development. Compared with traditional modeling technology, dynamic modeling technology has a shorter workflow and less time. Discrete dynamic modeling technology can realize dynamic batch architecture design and has higher applicability than traditional algorithms.
Analysis of Factors Influencing Telemedicine-Based Psychiatric Extended Care and Care of Psychiatric Patients
Authors: Xu Wenjian , Gu Guang , Dong Libo , Wang Lina
Published: January 2022

The aim of this paper is to understand the current situation of the care burden of patients with mental illness in remission and the factors affecting it in order to provide a scientific basis for targeted interventions. This paper reviews the concept of telemedicine, the application of telemedicine in home hospice care, and the remaining problems and improvement strategies of telemedicine in home hospice care, with the aim of providing a reference for the application of telemedicine in home hospice care in China. The Zarit Burden Scale, Family Care Scale, and Social Functioning Scale were used to conduct one-to-one interviews with 201 schizophrenic patients in remission and their primary caregivers in Hubei Province. Among them, 66, 72, and 25 cases (32.8%, 35.9%, and 12.4%) had mild, moderate, and severe burdens, respectively. Caregivers’ family care and patients’ social functioning were generally poor. The results of multiple linear regression analysis showed that caregiver age, caregiver education, caregiver family care, patient medical costs, and patient social functioning were factors influencing the burden of care for patients with schizophrenia in remission (

P
<
0.05

). The government, mental health centers, and families should understand the level of caregiving burden of patients with schizophrenia in remission and the factors influencing it and provide targeted measures to reduce the caregiving burden.
Association between Physical Activity, Sedentary Behaviors, Sleep, Diet, and Adiposity among Children and Adolescents in China
Authors: Ding Caicui , Fan Jing , Yuan Fan , Feng Ganyu , Gong Weiyan , Song Chao , Ma Yanning , Chen Zheng , Liu Ailing
Published: January 2022

Introduction: Physical activity (PA), sedentary behaviors (SB), sleep, and diet are related to adiposity among children and adolescents. However, there may be interactions between PA, SB, sleep, and diet, and these lifestyle behaviors may work together to affect body weight. The purpose of this study was to explore the impact of multiple lifestyle behaviors of PA, SB, sleep, and diet on childhood adiposity (body mass index z-score and overweight/obesity), and to investigate the effect of meeting multiple guidelines on adiposity among children and adolescents in China. Methods: Cross-sectional results were based on 28,048 children aged 6–17 years from the China National Nutrition and Health Surveillance in 2010–2012. Information about PA, SB, and sleep was measured through interview-administered questionnaire. Dietary intake was assessed with food frequency questionnaire. The associations between multiple lifestyle behaviors and BMI z-score and overweight/obese were examined. Results: The prevalence of overweight/obesity in the participants was 19.2%. The average time of moderate-to-vigorous PA (MVPA), leisure SB, and sleep was 76.7 ± 45.5 min, 2.9 ± 1.4 h, and 8.5 ± 1.1 h per day, respectively. The China Dietary Guidelines Index for Youth (CDGI-Y) score was 62.6 ± 11.0. Sleep duration and diet score were negative associated with BMI z-score (both p < 0.001). MVPA and SB time were positive associated with BMI z-score (p = 0.041, 0.004). Meeting the SB, sleep, and diet guidelines had a lower BMI z-score (all p < 0.01) and lower odds of overweight/obesity (all p < 0.05). There were significant interactions between PA and diet. Compared with meeting no guidelines, those who met multiple guidelines had a lower risk of overweight/obesity (all p < 0.01). The more guidelines the participants met, the lower odds of overweight/obesity (p for trend <0.001). Conclusions: PA, SB, sleep, and diet are important behaviors associated with adiposity among children and adolescents. Attaining adequate amounts of appropriate multiple behaviors provided an additional benefit. It is important for children to meet recommended behavioral guidelines or recommendations. Interventions that aim to improve awareness of and compliance with these guidelines are needed in future.
Real-World Assessment of Efficacy and Safety Parameters for Dapagliflozin in Management of Type 2 Diabetes Mellitus: REWARD Study
Authors: Hassoun Ahmed , Dhanwal Denish Kumar , Nafach Jalal , Ajaz Yasmin , Khan Asif Majid , Ben Nakhi Abdullah , AlArouj Monira , Hafidh Khadija , AlNajjar Majdi , Reyas Ahmed , Qamar Sana , Alsayed Mohamed , Bdair Ahmad
Published: January 2022

Introduction: While ample evidence on improved glycemic control, weight reduction, and lowered blood pressure (BP) with sodium-glucose cotransporter type 2 inhibitors (SGLT2is) exists, real-world data on the potential benefit of SGLT2i on the diabetic population in the Middle East are lacking. The aim of our study was to describe the glycemic control, changes in body weight, body mass index (BMI), lipid profile, and BPs in patients receiving dapagliflozin with other antidiabetic medication. Methods: The REWARD study was a multicenter, post-authorization, prospective, open-label, noninterventional, real-world, cohort study. We enrolled 511 adult, type 2 diabetes mellitus patients on antidiabetic medications. These patients were started on dapagliflozin and followed up for 1 year to assess changes in their clinical and laboratory outcomes. Results: The mean HbA1c decreased significantly from 8.5 ± 1.6% at baseline to 7.6 ± 1.3% after 12 months (p value <0.001), with an absolute change of 0.9%. Of the study population, 41.6% of patients reached an HbA1c level less than 7% (53 mmol/mol). The systolic pressure improved (mean change = −1.9 mm Hg, p value = 0.003), yet no change in the diastolic pressure was observed. Both body weight and BMI significantly decreased by 0.7 kg and 0.2 kg/m2, respectively (p value <0.001). About 84.5% of patients were on antidyslipidemic agents, while 57.4% were on antihypertensives. Approximately 83.6% of adverse events were mild. A total of 90 hypoglycemic episodes were reported; none were severe. Conclusion: In a real-world setting, dapagliflozin in combination with other antidiabetic medications exhibited significant improvement in glycemic control, weight, BMI, and systolic BP. Additionally, it demonstrated a well-tolerated safety profile.
Using Clinical Audiologic Measures to Determine Cochlear Implant Candidacy
Authors: Reddy Priyanka , Dornhoffer James R. , Camposeo Elizabeth L. , Dubno Judy R. , McRackan Theodore R.
Published: January 2022

Introduction: Only a small percentage (6–10%) of patients who are candidates receive cochlear implants (CIs). One potential reason contributing to low usage rates may be confusion regarding which patients to refer for CI evaluation. The extent to which information provided by standard clinical audiologic assessments is sufficient for selecting appropriate CI evaluation referrals is uncertain. The objective of this study is to evaluate the capacity of standard clinical audiologic measures to differentiate CI candidates from noncandidates. Method: The study design is a retrospective review of a prospectively maintained CI database from a university-based tertiary medical center of 518 patients undergoing CI evaluations from 2012 to 2020. Each ear of each patient was treated as an independent value. Receiver operating characteristic (ROCs) curves were constructed using aided AzBio sentence recognition scores in quiet and aided AzBio +10 dB signal-to-noise ratio scores <60% as binary classifiers for CI candidacy. For each ROC, we examined the capacity of multiple pure-tone thresholds, pure-tone average (PTA), and CNC word recognition scores (WRSs) measured under earphones to determine CI candidacy. Area under the curve ROC (AUC-ROC) values were calculated to demonstrate the capacity of each model to differentiate CI candidates from noncandidates. Results: Variables with the greatest capacity to accurately differentiate CI candidates from noncandidates using aided AzBio in quiet scores were earphone CNC WRS, earphone pure-tone threshold at 1,000 Hz, and earphone PTA (AUC-ROC values = 0.86–0.88). Using aided AzBio +10 scores as the measure for candidacy, only CNC word recognition had a fair capacity to identify candidates (AUC-ROC value = 0.73). Based on the ROCs, a 1,000 Hz pure-tone threshold >50 dB HL, PTA >57 dB HL, and a monosyllabic WRS <60% can each serve as individual indicators for referral for CI evaluations. Conclusion: The current study provides initial indicators for referral and a first step at developing evidence-based criteria for CI evaluation referral using standard audiologic assessments.