bluuebunny/crossref_metadata_2025 huggingface dataset:
Fractal Structures and Magnetic Footprints in a Divertor Tokamak
Authors: Mathias A. C. , Perotto G. , Viana R. L. , Schelin A. , Caldas I. L.
Published: May 2022

Fractal structures appear very often in open Hamiltonian systems, and can be identified in the deposition of chaotic magnetic field line on the plates of a tokamak divertor. Indeed, tokamaks with divertors are used to control the magnetic confinement of plasmas, such that the field lines created by electric currents have escape channels, through which plasma particles can be diverted out of the tokamak wall and redirected to divertor plates. In this work, we use a symplectic map to investigate the deposition patterns on the plates of a divertor. We show that the pattern of magnetic footprints on divertor plates (deposition patterns) underlying the chaotic orbits involves a number of fractal structures related to the existence of a nonattractive invariant chaotic set. In order to investigate the fractal characteristic of magnetic footprints, we analyze quantitatively the degree of stability of the fractal structure by calculating the entropy of the basin. These numerical analyses indicate that the fractal pattern on the divertor plates depends sensibly on the magnetic field structure. We show qualitative evidences of the Wada property.
Hopf-Bifurcation and Pattern Selections in a Three Trophic Level Food Web System
Authors: Shivam  , Singh Teekam , Kumar Mukesh
Published: May 2022

The ecosystem comprises many food webs, and their existence is directly dependent upon the growth rate of primary prey; it balances the whole ecosystem. This paper studies the temporal and spatiotemporal dynamics of three trophic levels of food web system, consisting of two preys and two predators. We first obtained an equilibrium solution set and studied the system’s stability at a biological feasible equilibrium point using a Jacobian method. We show the occurrence of Hopf-bifurcation by considering the growth rate of prey as the bifurcation parameter for the temporal model. In the presence of diffusion, we study random movement in species, establish conditions for the system’s stability, and derive the Turing instability condition. A multiple-scale analysis is used to determine the amplitude equations in the neighborhood of the Turing bifurcation point. After applying amplitude equations, the system has a rich dynamical behavior. The stability analysis of these amplitude equations leads to the development of various Turing patterns. Finally, with numerical simulations, the analytical results are verified. Within this framework, our study through the dynamical behavior of the complex system and bifurcation point based on the prey growth rate can serve as a baseline for numerous researchers working on ecological models from diverse perspectives. As a result, the Hopf-bifurcation and multiple-scale analysis used in the complex food web system is particularly relevant experimentally because the linked consequences may be researched and applied to many mathematical, ecological, and biological models.
Limit Cycles of Piecewise-Continuous Differential Systems Formed by Linear and Quadratic Isochronous Centers II
Authors: Ghermoul Bilal , Llibre Jaume , Salhi Tayeb
Published: May 2022

We study the crossing periodic orbits and limit cycles of the planar piecewise-continuous differential systems separated by the straight-line [Formula: see text] having in [Formula: see text] the general quadratic isochronous center [Formula: see text], [Formula: see text] after an affine transformation, and in [Formula: see text] an arbitrary quadratic isochronous center except for the quadratic isochronous center [Formula: see text], [Formula: see text] which has been studied in [Ghermoul et al., 2021]. For these piecewise-continuous differential systems the upper bound of crossing limit cycles is 2, and there are specific examples having one crossing limit cycle.
Studies on the Role of Knowledge Management in Performance Enhancement and Promotion of Renewable Energy Industries in India
Authors: Jeykishan Kumar K. , Sharma Richa
Published: May 2022

Energy industries are the pioneers in exploiting the knowledge management (KM) for meeting the challenges. Renewable energy industries are emerging to meet the energy security and climate changes and challenges. Therefore, it was of interest to study how the Indian renewable energy (RE) industries are able to exploit the KM practices to boost their organisation performance. Pilot study was undertaken to study the prevalence of the knowledge management (KM) practices in Indian renewable energy industries through the questionnaire and the measurement of Knowledge Management Performance Index (KMPI) value. The questionnaire was modified based on the outcomes of pilot study. The same qualitative analysis and quantitative analysis were done for the pilot study, and the KMPI value was also determined. The relation of all KM concepts, viz. KM creation, KM storage, KM transfer, KM exploitation and KM dissemination was the construct. This study provides one of first insights of KM performance in promoting new and renewable energy technologies. The clarity on the knowledge and technological gap, process of extracting and disseminating information, difficulty in accessing skilled labour, lack of collaborative R and D and research activities and storage of knowledge were found to be major issues in the exploitation of KM in RE industries in India.
Molecular Dynamics Simulation of Crack Growth in Mono-Crystal Nickel With Voids and Inclusions
Authors: Cheng Zhenxing , Wang Hu , Liu Gui-Rong , Li Guangyao
Published: May 2022

In this study, the crack propagation of the pre-cracked mono-crystal nickel with the voids and inclusions has been investigated by molecular dynamics simulations. Different sizes of voids, inclusions and materials of inclusions are used to fully study the effect of the voids and inclusions during the crack propagation process. The dislocations evolution, stress distribution and crack length are analyzed as the associated mechanical properties. The results indicate that the voids and inclusions can change the path of crack propagation of the pre-cracked mono-crystal nickel. Moreover, the results show that voids and inclusions can lead to a better resistance to plastic deformation of the mono-crystal and the inclusions can make the system more difficult to fracture.
Gradient solitons on twisted product manifolds and their applications in general relativity
Authors: Güler Si̇nem , Taştan Hakan Mete
Published: May 2022

In this paper, first, we find the necessary and sufficient condition for a Riemannian manifold to be the locally warped product. Then we investigate the existence of different types of gradient solitons, such as gradient (almost) Yamabe soliton, conformal soliton and gradient Ricci soliton on the twisted product manifolds. We also study the concircular flatness condition on a twisted product and examine the Einstein-type relations on its base and fiber manifold. Moreover, we introduce the notions of twisted generalized Robertson–Walker spacetime and twisted standard static spacetime. We get an ordinary differential equation (ODE) that determines the twisting function of the former and the exact form of the twisting function for the latter one.
Treatment Consideration in Postmenopausal Osteoporosis Patients at Imminent Fracture Risk
Authors: Ip Tai Pang
Published: May 2022

Osteoporosis is the most common metabolic bone disease and constitutes a major public health problem all over the world. Most international clinical practice guidelines have conventionally positioned the class of antiresorptive drugs, the bisphosphonates, as the first-line medical therapy for the management of postmenopausal osteoporosis. With the clinical development of more potent antiresorptive drugs as well as bone-forming drugs, more therapeutic options with different mechanisms of action, therapeutic efficacies, and adverse effect profiles are currently available. Bone-forming drugs have demonstrated a faster and better protection to patients with osteoporosis such that clinical management decisions should position their prioritized use in patients with a very high fracture risk. This article provides a review on the preferential selection of bone-forming drugs for management of postmenopausal osteoporosis in patients with imminent fracture risk.
Temperature-Dependent Study of β-Ga2O3 Solar-Blind Photodetectors
Authors: Wang Tianqi , Wang Shenghuan , Li Bo , Wang Lei , Wu Zhenping , Mei Bo , Qi Chunhua , Zhang Yanqing , Ma Guoliang , Huo Mingxue , Liu Chaoming
Published: May 2022

In this paper, the electrical and ultraviolet optoelectronic properties of the interdigitated finger geometry β-Ga2O3 photodetector were investigated from the temperature of 40 K to 300 K. Under different light illumination conditions, when the temperature increased from 40 K to 300 K, the maximum current of the β-Ga2O3 photodetector was obtained around 180 K, which is related to the carrier mobility of β-Ga2O3. Under 365-nm illumination, when the temperature increased from 40 K to 300 K, the photo-to-dark current ratio (PDCR) of the β-Ga2O3 photodetector increased by 924%. Under 254-nm illumination, the PDCR decreased by 87%. Besides, the temperature point corresponding to the photoresponse peak under 365-nm illumination moved to the right under 254-nm illumination, indicating that the photodetector had a redshift at low temperature. Moreover, the fast photoresponse time under 365-nm and 254-nm illumination decreased when the temperature increased. This indicated that the defect concentration of Ga2O3 decreased gradually as the temperature increased, leading to the faster response time of the photodetector.
Performance Analysis of CNT Bundle Interconnects in Various Low-k Dielectric Media
Authors: Shefali M. , Fatima Kaleem , Uma Sathyakam P.
Published: May 2022

The capacitance of the interconnect, which contributes to RC delay, power, and crosstalk, is increasingly limiting the performance of ULSI chips as IC technology advances. Different dielectric materials are employed as electrical shielding between interconnects (also called as inter-wire dielectrics) to minimise the coupling capacitance of closely spaced interconnects, and they are compared in terms of their performance. For SWCNT and MWCNT interconnects at various global interconnect lengths for 20 nm and 14 nm technology nodes, performance parameters such as crosstalk delay, power dissipation, power crosstalk delay product (PCDP) and crosstalk noise are calculated and compared. It is observed that, upon using different dielectric materials in CNT bundle interconnect, MWCNT bundle interconnects is performing better compared to SWCNT bundle interconnects at 20 nm and 14 nm technology nodes for all global interconnect lengths.
N6-Methyladenosine-Related lncRNAs Are Anticipated Biomarkers for Sarcoma Patients
Authors: Zhang Xiaohe , Li Hongbo , Zhou Liuzhi , Wu Di , Zhou Shixiang , Yang Yao , Hu Yabin
Published: May 2022

Background. Soft tissue sarcomas (STSs) are rare tumors and occur at any site in the body. Our goal was to identify a putative molecular mechanism for N6-methyladenosine (m6A) lncRNA alteration and to develop predictive biomarkers for sarcoma. Methods. The lncRNA levels were obtained from TCGA datasets. Pearson correlation analysis was used to select all the lncRNAs that are connected to m6A. An m6A-related lncRNA model was built using LASSO Cox regression. To assess the prognostic efficiency of the model and potential lncRNAs, we performed univariate survival analysis and receiver operating characteristic (ROC) analysis. We also performed enrichment analysis to evaluate the roles of the potential genes. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to confirm m6A-related lncRNA expression in tissues. Results. Following Pearson correlation analysis on TCGA datasets, we identified 78 m6A-related lncRNAs. Next, we used LASSO Cox regression analysis and identified 13 m6A-related lncRNAs as prognostic lncRNAs. After calculating risk scores, sarcoma patients were divided into high- and low-risk groups depending on the median of risk scores. We also found that these lncRNAs were immune associated via enrichment analysis. Conclusions. Here, we found that SNHG1, FIRRE, and YEATS2-AS1 could serve as biomarkers to predict overall survival of sarcoma patients, which provides a new insight into treatment of STS.
Protective Effect of Salvianolic Acid A against N-Methyl-N-Nitrosourea-Induced Retinal Degeneration
Authors: Zhou Yumei , Xu Weiwei , Liu Anqi , Tao Ye , Wang Qun , Yang Yanfeng , Wang Liqiang , Huang Yifei
Published: May 2022

Objective. Retinal degeneration (RD) is a serious, irreversible, and blinding eye disease, which seriously affects the visual function and quality of life of patients. At present, there is no effective method to treat RD. The final outcome of its development is photoreceptor cell oxidation and apoptosis. Therefore, looking for safe, convenient, and effective antioxidant therapy is still the key research field of Rd. In this study, the mice model of RD was induced by N-methyl-N-nitrosourea (MNU) in vivo to explore the therapeutic effect and mechanism of salvianolic acids (Sal A) on RD. In vitro, the protective effect of Sal A on MNU injured 661 W cell line of mouse retina photoreceptor cone cells was investigated preliminarily. Methods. Male C57BL/6 mice (7–8 weeks old) received a single intraperitoneal injection (ip) of 60 mg/kg MNU or vehicle control. Treatment groups then received Sal-A 0.5 mg/kg and 1.0 mg/kg via daily intravenous injections. On day 7, functional and morphological examinations were performed, including photopic and scotopic electroretinography (ERG) and hematological analyses to observe functional changes and damage to the outer nuclear layer (ONL). On the 3rd and 7th days, the levels of superoxide dismutase (SOD) activity and malondialdehyde (MDA) content were determined. The expression of retinal Bax, Bcl-2, and caspase-3 was quantified by Western blot and RT-PCR assays. 661 W strain of mice retinal photoreceptor cone cells were cultured in vitro and treated with 1 µm MNU. The cells in the treatment group were given 50 μM Sal A as an intervention. The growth of 661 W cells was observed and recorded under an inverted light microscope, and the activity of cells was detected by the MTT method. Results. Sal A treatment was effective against MNU-induced RD in mice at both 0.5 mg/kg/d and 1.0 mg/kg/d doses, and the protective effect was dose-dependent. Sal A can alleviate MNU-mediated alterations to retinal ERG activity and can support maintenance of the thickness of the ONL layer. Sal A treatment increases the expression of retinal SOD and reduces the lipid peroxidation product MDA, suggesting that its protective effect is related to the oxidation resistance. It can offset changes to the expression of apoptotic factors in the retina caused by MNU treatment. Sal A mitigates MNU-mediated damage to cultured mice photoreceptor cone cells 661 W in vitro. Conclusion. Sal A alleviates the damage caused by MNU to retinal photoreceptor cells in vivo and in vivo, and its protective effect is related to its antioxidant and antiapoptotic activities.
Plasma CXCL3 Levels Are Associated with Tumor Progression and an Unfavorable Colorectal Cancer Prognosis
Authors: Cui Can , Zhang Rui , Gu Feng , Pei Yunfeng , Sun Li , Huang Yueyang , Niu Guoping , Li Jian
Published: May 2022

Background. The CXC chemokines belong to a unique family of chemotactic cytokines that influence the initiation, progression, and clinical outcome of many tumor types. Herein, we investigated the association of the CXC-chemokine ligand 3 (CXCL3) with tumor progression and an unfavorable prognosis for colorectal cancer (CRC). Methods. The quantitative real-time polymerase chain reaction was used to explore the expression of CXCL3 in CRC tissue, adjacent tissue, and plasma. The usefulness of plasma levels of CXCL3 for the diagnosis of CRC was evaluated by receiver operating characteristic curve analysis. Pearson’s correlation analysis assessed relationships among plasma CXCL3, cancer tissue CXCL3, and plasma carcinoembryonic antigen (CEA). Kaplan–Meier analysis was used to assess the survival of CRC patients with high and low expression levels of CXCL3. Survival differences were compared by log-rank test. Results. Initial analysis of the GSE156720 dataset identified CXCL3 as the most enriched CXCL gene in CRC patients. Higher CXCL3 levels were detected in CRC tissue than in adjacent tissue (

P
<
0.001

). Compared to healthy controls, CRC patient plasma CXCL3 levels were higher (

P
<
0.001

). The area under the curve was 0.81 with a sensitivity of 0.71 and specificity of 0.82, distinguishing CRC from other tumor types. Plasma CXCL3 was positively related to CXCL3 in cancer tissue (

r
=
0.78

,

P
<
0.01

), and also to plasma CEA (

r
=
0.50

,

P
<
0.01

). Plasma CXCL3 was also related to tumor size (

P
=
0.034

), staging (

P
<
0.001

), tumor stage (

P
=
0.003

), differentiation (

P
=
0.001

), and lymph node metastasis (

P
=
0.007

), but not to sex (

P
=
0.853

), age (

P
=
0.691

), tumor site (

P
=
1.347

), or distant metastasis (

P
=
1.218

). Conclusions. CXCL3 levels were increased in CRC patients, with plasma CXCL3 levels associated with tumor progression and an unfavorable CRC prognosis. The results of this study suggest that plasma CXCL3 may be a novel diagnostic and prognostic biomarker for CRC.
An Improved Adaptive Large Neighborhood Search Algorithm for the Heterogeneous Customized Bus Service with Multiple Pickup and Delivery Candidate Locations
Authors: Xue Shouqiang , Song Rui , He Shiwei , An Jiuyu , Wang Youmiao
Published: May 2022

In order to tackle the congestion and environmental issues, customized bus services are proposed and deployed in metropolitan areas. As emerging public transportation services, customized bus services bring passengers more convenience and accessibility. Besides, conventional customized bus services generally organize homogeneous fleet and single location selection to passengers. In this paper, to enhance the mobility and flexibility of customized buses and increase companies’ profit, we propose a new form of customized bus service with heterogeneous fleets and multiple candidate locations. First, a mixed-integer programming model (MIP) is developed to describe the customized bus problem. Compared with the conventional model, the proposed MIP is involved in the case of one passenger with multiple candidate pickup or delivery locations and can be solved by GUROBI on small scale, quickly and efficiently. Second, an improved adaptive large neighborhood search algorithm (

ALNS

i
p

) is utilized to address the large-scale problem more efficiently. Time slack calculation method is then designed to optimize vehicle timetables, which provides stable and excellent performance for searching feasible solutions. In addition, we propose two inserting operators to deal with the problem with multiple candidate locations and analyse its influence on the results. Finally, we test the performance of the proposed model and algorithm on the numerical experiments. And they are verified the effectiveness and implication in a small-scale case on a simplified Sioux waterfall network and a large-scale problem in Beijing, China. The result shows that

ALNS

i
p

outperforms other algorithms in searching for more satisfying solutions with higher efficiency. However, the GUROBI solver can obtain the solution to small-scale problems within a shorter time than

ALNS

i
p

. Furthermore, it can be suggested that the heterogeneous fleets service with multiple candidate locations is helpful to facilitate collaboration among vehicles and optimize pickup and delivery routes in consequence.
Development and Research of Health Examination and Nursing Technology Based on Nanotechnology
Authors: Li Shuai
Published: May 2022

With the improvement of the socio‐economic level and the continuous popularization of health concepts, more and more people have increased their attention to physical health and often go to physical examinations to protect their health. Nanotechnology, also known as nanotechnology, is a technology for studying the properties and applications of materials with structural dimensions in the range of 1 nm to 100 nm. The rapid development of nanotechnology has provided an important guarantee for healthy physical examination and nursing methods. Therefore, it is necessary to conduct research on the development of health examination and nursing technology based on nanotechnology. Nursing safety means that nursing staff should strictly follow the nursing system and operation procedures in carrying out nursing work, execute medical orders accurately, and implement nursing plans to ensure that patients are physically and mentally safe during treatment and rehabilitation. Based on the development and research of health examination nursing technology under nanotechnology, 220 physical examinees in our hospital were selected and divided into experimental group and control group according to whether nanotechnology‐based physical examination nursing method was applied, and then, the physical examination time, physical examination efficiency, and the coincidence degree of physical examination results were compared. The results showed that the physical examination time of the experimental group was 58.94 ± 31.40 min, while that of the control group was 73.74 ± 38.95 min; the difference between the two groups was 14.8 ± 7.55 min, with statistical significance (P < 0.05). Therefore, it can be seen that the development and research of health examination nursing technology based on nanotechnology can effectively improve the level of medical care service and the satisfaction of physical examinees.
Natural Gas Migration Pathways and Their Influence on Gas Hydrate Enrichment in the Qiongdongnan Basin, South China Sea
Authors: Zuo Tingna , Wang Ren , He Yulin , Shi Wanzhong , Liang Jinqiang , Xu Litao , Du Hao , Deng Yan , Xu Xiaofeng
Published: May 2022

2D and 3D seismic data and basin simulation were used to investigate the gas hydrate distribution and natural gas migration pathways in the Qiongdongnan Basin (QDNB). Hydrate-related amplitude anomalies and extensive bottom simulating reflectors (BSRs) were mapped within the uppermost part. Based on their seismic reflection characteristics, the three main types of natural gas migration pathways and their distributions in the QDNB were identified through high-resolution seismic data. Basin modeling was carried out to document the migration efficiency of different migration pathways and their effects on hydrate enrichment. The basin modeling results show the following: (1) Diapirs, fault structures, and fractures constitute the three main types of natural gas migration pathways that transport the thermogenic gas from the deep to shallow layers in the QDNB. (2) The three migration pathways impact hydrate enrichment in different ways. Diapirs and faults contribute significantly to hydrate enrichment due to their higher migration efficiency. In comparison, the migration efficiency of the fracture systems is lower, with minimal benefit to hydrate enrichment. (3) The natural gas hydrate in the QDNB is mainly distributed along the diapirs and deep faults and generally scattered around the fracture system. These conclusions indicate that the migration pathways in the QDNB are regionally distributed and are closely related to hydrate accumulation.
Seroprevalence and Genetic Characterization of Toxoplasma gondii among Children with Neurodevelopmental Disorders in Egypt
Authors: Elzeky Sara M. , Nabih Nairmen , Abdel-Magied Aida A. , Abdelmagid Dina S. , Handoussa Aya E. , Hamouda Marwa M.
Published: May 2022

Toxoplasma gondii is a parasite with a special predilection for the central nervous system. Toxoplasmosis's contribution to the triggering of many neurodevelopmental disorders was established. This study aimed to detect the seroprevalence and genotypes of T. gondii strains in children with neurodevelopmental disorders. The study included 180 children with neurodevelopmental disorders and 180 children in the control group. Assessment of seropositivity of Toxoplasma IgM and IgG antibodies in patients and controls was carried out. Genetic characterization of T. gondii was obtained by nested polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) technique targeting dense granule gene (GRA6). Our results showed that the overall seroprevalence of T. gondii antibodies in the patient and controls was 35.6% and 11.7%, respectively. Nested PCR showed positivity in 11.1% of the patient group for T. gondii DNA. T. gondii seropositivity rate was significantly high in patients with hydrocephalus and also in patients with epilepsy. Positive nested PCR was significantly high in children with hydrocephalus only. Genotyping using nested PCR-RFLP showed genotype I (80%) followed by atypical strains (20%) with no association with any specific clinical presentation. In conclusion, among toxoplasmosis-positive children with neurodevelopmental disorders, analysis of T. gondii GRA6 locus revealed the predominance of type I genotype followed by atypical strains.
Efficacy and Safety Analysis of Phloroglucinol in Combination with Oxytocin for the Induction of Labor in Women with Term Premature Rupture of Membranes (PROM)
Authors: Yu Jiazheng , Chen Lili , Wang Xia , Li Xiangzhi
Published: May 2022

Objective. The purpose of this study was to investigate the efficacy and safety of phloroglucinol in combination with oxytocin in the induction of labor in women who had experienced term premature rupture of membranes (PROM). Methods. Data from 100 women who experienced PROM between December 2020 and December 2021 were retrospectively evaluated in this study. The puerperae were categorized into observation and control groups based on their uterine contraction regimens. The observation group consisted of 53 participants that had been treated with phloroglucinol in combination with oxytocin, and the control group consisted of 47 participants that had been treated with oxytocin alone. It was observed and compared in terms of the Bishop score before and after the administration of the puerpera to see which group had the best index. A study was performed after the drug was administered to examine its effects on the duration of labor (including the first, second, and third stages of labor), the mode of delivery (including natural vaginal delivery and cesarean section), the incidence of adverse pregnancy outcomes (fetal distress and neonatal asphyxia), successful labor induction, and complication rates. Results. Patients in the observation group had a significantly higher Bishop score after administration than those in the control group (

P
<
0.05

), although there was no difference between the two groups before administration. In comparison to the control group, the observation group had a significantly higher efficacy rate for drug administration (

P
<
0.05

), as well as a significantly lower occurrence of the first stage of labor (

P
<
0.05

), a higher rate of vaginal natural delivery and successful induction of labor (

P
<
0.05

), and a significantly lower incidence of adverse pregnancy outcomes and complications (

P
<
0.05

). Conclusion. In conclusion, the use of phloroglucinol in combination with intravenous oxytocin in the process of promoting cervical ripening and induction of labor for women with PROM who are at term was investigated. This study could help women speed up cervical dilation, improve the cervical Bishop scores, shorten the total labour process, improve the effective rate of vaginal delivery, and be very safe, making it a good candidate for clinical promotion and application.
A Migration Method for Vehicle Mobility Services Based on Road Segmentation Markov Model
Authors: Zhang Haotian , Wang Yan , Zhou Jian-Tao , Gao Jianwei , Liu Jing
Published: May 2022

The emergence of edge computing provides a new solution to solve resource-intensive applications, but how to formulate the most efficient service migration strategy according to users’ real-time location to ensure users to receive low latency services has become a new challenge. For the vehicle terminals running on the road, mobility of vehicle terminals is a factor that cannot be ignored. Ensuring the continuity of vehicle mobility service is an urgent problem to be solved. For the vehicles running in the roads, we focus on the establishment of service migration model based on Markov decision process according to road zoning, taking the loss and delay caused by service migration as the index to measure the advantages and disadvantages of service migration strategies. Then, a reinforcement learning algorithm is used to transform the service migration model into MDP model, and the measurement index is transformed into the reward function to formulate the service migration strategies for service migration process of the vehicle’s travel. Finally, through the simulation experiments on different scenarios, we compared our method with other methods in terms of loss and reward from service migration, which proves the effectiveness of our method.
Improved Decision-Making through a DEMATEL and Fuzzy Cognitive Maps-Based Framework
Authors: Mazzuto Giovanni , Stylios Chrysostomos , Ciarapica Filippo Emanuele , Bevilacqua Maurizio , Voula Georgopoulos
Published: May 2022

The decision-making process is highly demanding. There has been an increasing tendency to incorporate human thinking, individual experience about a problem, and pure mathematical approaches. Here, a novel integrated approach is investigated and proposed to develop an advanced hybrid decision-support system based on the decision-making trial and evaluation laboratory (DEMATEL) and fuzzy cognitive maps (FCMs). Indeed, knowledge acquisition and elicitation may present distortions and difficulties finding a consensus and an interpretation. Thus, the proposed combined approach aims to examine in depth the potential to improve FCMs’ outcomes by integrating FCM with the DEMATEL approach. The combined methodology achieves at avoiding some of the drawbacks, such as the lack of a standardized FCM theoretical model. Thus, it provides advanced comparative analysis and results in better interpretation of the decision-making process. It is highlighted that the traditional FCM approach does not allow distinguishing the whole number of defined scenarios, in contrast to the hybrid one presented here, which increases the ability of users to make correct decisions. Combining the two approaches provides new capabilities to FCMs in grouping experts’ knowledge, while the DEMATEL approach contributes to refining the strength of concepts’ connections.
The Tumor Plastic Surgery Technology versus Traditional Repair Technology on the Repair of Large-Area Skin Defects after Maxillofacial Tumor Resection: A Randomized Controlled Trial
Authors: Zhang Xue-Feng , Chu Zheng , Yang Hong-Li , Zhao Bing
Published: May 2022

Objective. To explore the effect of tumor plastic surgery on the repair of large-area skin defects after maxillofacial tumor resection. Methods. 90 patients undergoing maxillofacial tumor resection in our hospital from March 2019 to March 2020 were selected and randomized 1 : 1 to receive either tumor plastic surgery (experimental group) or traditional repair (control group). The clinical efficacy and facial cosmetic improvement of the two groups were compared. The Patient and Observer Scar Assessment Scale (POSAS) was used to evaluate the surgical outcomes of the two groups, the Profile of Mood States (POMS) was used to evaluate the patients’ psychological status, and the Generic Quality of Life Inventory-74 (GQOLI-74) was used to assess the quality of life of patients. Results. Total clinical effective rate of the experimental group was significantly higher than that of the control group (

p
<
0.001

). A higher excellent rate of facial cosmetic improvement was observed in the experimental group versus the control group (

p
<
0.001

). Significantly lower POSAS scores of the experimental group than the control group were observed (

p
<
0.001

). The POMS scores of the experimental group after treatment were lower than those of the control group (

p
<
0.001

). Tumor plastic surgery resulted in a remarkably higher GQOLI-74 score in the patients versus traditional repair (

p
<
0.001

). Conclusion. Tumor plastic surgery is a promising alternative for patients undergoing maxillofacial tumor resection. It can effectively promote the recovery of facial morphology and physiological function of patients, with high clinical efficacy, so it merits promotion and application.
Meta-Analysis of Preventive and Therapeutic Effects of Ligustrazine on Airway Remodeling in Asthmatic Rats
Authors: Hua Yu-shuang , Shang Wen-qian , Chen Xia , Zhang Ai-min
Published: May 2022

Objective. To assess the effect of ligustrazine on airway remodeling in asthmatic rats. Methods. To collect studies on the effects of ligustrazine on airway remodeling in asthmatic rat models, PubMed, Embase, CBM, Cochrane, Chinese Knowledge Infrastructure (CNKI), VIP, and Wanfang data (WANFANG) were searched using a computer. Two investigators independently screened the literature, extracted the data, and assessed the methodological quality by complying with the inclusion criteria. Moreover, a meta-analysis was conducted by adopting Stata 11.0. Results. On the whole, 10 articles were included. As indicated from the meta-analysis, we have the following: ① ligustrazine was capable of reducing the thickness of the airway smooth muscle and inhibiting the proliferation of smooth muscle (WMD = −5.98, 95% CI (−7.75, −4.42),

P
≤
0.001

); ② ligustrazine could reduce the thickness of the airway wall and mitigate tracheal stenosis (WMD = 0.12, 95% CI (0.05, 0.20),

P
≤
0.001

); ③ ligustrazine could decrease the number of eosinophils in the lung tissue and reduce airway inflammation (WMD = −14.47, 95% CI (−18.09, −10.86),

P
≤
0.001

). Conclusion. Ligustrazine was demonstrated to be an effective therapeutic drug in asthmatic rats by preventing and treating airway remodeling. Further high-quality experimental studies should be conducted to investigate the mechanism of ligustrazine action in depth.
Surface Damage Coupling Mechanism of Plain Weave Art Ceramic Matrix Composites
Authors: Li Guangsong
Published: May 2022

In order to solve the problem of the surface damage coupling mechanism of ceramic matrix composites, a method oriented to the damage coupling mechanism of the plain weave art ceramic matrix is proposed by the author. First, the author uses the composite material prepared by a chemical vapor infiltration process as the research object, and the damage mechanical behavior of materials under simple and complex plane stress states is studied. Second, the calculation of the mechanical property parameters of the material components and the research on the mechanical behavior of the material in-plane shear mesodamage are studied; Finally, the research on the damage coupling effect of materials under complex stress state is conducted, as well as the decoupling test research of the damage coupling effect. It is demonstrated that based on 0 and 45° off-axis tensile stress-strain behavior, a prediction model of off-axis tensile stress-strain behavior of the material was established, and the prediction results were in good agreement with the experimental results.
Research on Discourse Transfer Analysis Based on Deep Learning of Cross-language Transfer
Authors: Shen Yu
Published: May 2022

With the current exchange and communication between different countries becoming more and more frequent, the language conversion of different countries has become a difficult problem. The analysis of a series of problems in cross-language discourse conversion, the study of the discourse conversion path, and innovation motivation based on the deep learning theory of cross-language transfer, it has theoretical and practical significance. This paper aims at the technical difficulties in speech conversion methods to effectively utilize the local mode information of signal time spectrum and the long-term correlation of speech signal. A discourse conversion method based on convolutional recurrent neural network model is proposed. In the model, the extended convolutional neural network is used to model the long-term correlation of speech signals. In the part of speech fundamental frequency estimation, the prosodic information generated by the decomposition of the fundamental frequency by continuous wavelet transform is used as the training target of the fundamental frequency estimation model. The experimental results show that the speech transformation method based on the convolutional cyclic network model proposed in this paper has better quality and intelligibility than the speech transformed by the contrast method.
Bioassay’s Directed Isolation-Structure Elucidation and Molecular Docking of Triterpenes from Persea duthiei against Biologically Important Microbial Proteins
Authors: Ullah Najeeb , Zeb Shan , Fozia  , Rukh Shah , Khan Shafiullah , Ahmad Ijaz , Ahmad Shakeel , Ahmad Nisar , Alotaibi Amal , Ullah Riaz
Published: May 2022

The research work presented in this study is mainly concerned with the bioactivity-directed phytochemical and biological evaluation of Persea duthiei. Persea duthiei is a typical medicinal plant used to treat a variety of ailments such as asthma, edema, and bronchitis. Ethyl acetate, n-hexane, n-butanol, and compounds that are soluble in water were used to examine the antibacterial as well as antifungal capacities of the plant. The antibacterial activity of the soluble parts of ethyl acetate and n-hexane against Escherichia coli, Staphylococcus aureus, Salmonella typhi, and Bacillus subtilis was high, even though there was no activity against Pseudomonas aeruginosa. Likewise, the n-hexane and ethyl acetate fractions were found to have substantial efficacy against several fungal strains such as Aspergillus flavus, Aspergillus fumigates, Fusarium solani, and Aspergillus niger, but not against Candida glabrata. Among the studied fractions, the ethyl acetate soluble fraction had potent antibacterial activity against all of the tested species. This fraction was submitted to phytochemical analysis utilizing various chromatographic methods for the extraction of various pure components. As a consequence, four compounds were isolated, and their structures were elucidated using various spectroscopic methods such as IR, EIMS, HR-EIMS, 1H-NMR, 13C-NMR, NOESY, COSY, HMBC, and HMQC. Urs-12-en-3β-ol (α-amyrine) (1), Urs-12-ene-2α-3β-diol (chamaedrydiol) (2), 3β-hydroxyurs-12-en-28-aldehyde (ursolic aldehyde) (3), and 12-oleanex-3β-ol (β-amyrine) (4) were extracted. Compounds 1, 2, 3, and 4 were examined for antibacterial and antifungal activity and found to have zones of inhibition ranging from 0 to 11 mm against tested bacteria strains and percent inhibition ranging from 0 to 25 percent against fungus strains. Compounds 1 and 4 showed strong efficacy against the investigated fungal species, with a 25% inhibition rate. In the case of antibacterial activity, compounds 4 and 1 showed potent activity with zones of inhibition of 11 mm and 10 mm, respectively. Compounds 2 and 3 were observed to have nonsignificant antimicrobial activity. However, docking studies reflected the complex formation of compound 1 with beta-hydroxyacyl-ACP dehydratase HadAB and S. aureus tyrosyl-tRNA synthetase and compound 2 with topoisomerase II DNA gyrase complex, and they were reported to have antibacterial properties. Similarly, compound 4 was discovered to be well compatible with the lanosterol 14-demethylase (fungal enzyme) and is thus regarded as having antifungal capabilities. Chimera software was used to identify the binding pockets of these complexes. These results indicated that Persea duthiei is a valuable source of medicinal compounds for medication development.
Fetal Cerebral Hemodynamic Changes in Preeclampsia Patients by Ultrasonic Imaging under Intelligent Algorithm
Authors: Zhu Di , Ding Ru , Ma Hongxia , Jiang Shenglin , Li Lijie
Published: May 2022

This study was aimed at evaluating the adoption value of ultrasound imaging features on fetal cerebral hemodynamics in preeclampsia patients based on the partial difference algorithm and the hybrid segmentation network (HSegNet) algorithm. Forty pregnant women with preeclampsia diagnosed by ultrasound examination were selected as the research objects, and another forty normal pregnant women were selected as the control. Then, by using the partial differential algorithm, the imaging of fetal cerebral hemodynamics in preeclampsia patients was enhanced and optimized, and the general clinical data and experimental results were collected. The results showed that the automatic labeling of fetal cerebral artery in fetal middle cerebral artery (MCA) hemodynamic images was realized by HSegNet algorithm model, and the final accuracy was 97.3%, which had a good consistency with the manual annotation of doctors. Education level was a protective factor for preeclampsia (odds ratio (OR) = 0.535). Body mass index (BMI) and family history of hypertension during pregnancy were independent risk factors for preeclampsia (OR = 1.286, and 2.774, respectively). MCA end-diastolic volume (EDV) of preeclampsia fetuses was higher than that of normal fetuses. The MCA systolic-diastolic ratio (S/D), the pulsatility index (PI), and the resistive index (RI) in the preeclampsia group were significantly lower than those in the normal pregnancy group. The results showed that MCA PI, MCA RI, and MCA S/D had certain predictive values for the occurrence of adverse pregnancy outcomes (

P
<
0.05

). In summary, the intelligent algorithm-based fetal MCA hemodynamic ultrasound image in the study could effectively predict pregnancy outcomes of patients and provide certain theoretical support for the subsequent reduction of adverse pregnancy outcomes in patients with preeclampsia.
Energy Balance Routing Protocol for Wireless Sensor Networks Based on Fuzzy Control Strategy
Authors: Liang Xiurong , Qian You
Published: May 2022

The existing routing protocols for wireless sensor networks were not reasonable in design, which limited their application. Most of the existing studies did not take into account the energy consumption of the network and the balanced use of the energy of sensor nodes, which led to the unsatisfactory application effect of wireless sensor networks in some fields. Therefore, from the perspective of energy balance in wireless sensor networks, this paper proposed a construction method of an energy balance routing protocol in wireless sensor networks based on a fuzzy control strategy. Firstly, based on the analysis of the basic composition of wireless sensor networks and the structure of sensor nodes, this paper expounded the basic process of wireless data transmission and summarized the classification and characteristics of routing protocols in wireless sensor networks from different angles. Secondly, according to the node data transmission characteristics of wireless sensor networks, the energy balance use model of sensor nodes was established, and the design method of the energy balance routing protocol based on fuzzy control strategy was proposed, and the data transmission link was optimized. Finally, through experimental comparative analysis, the results showed that the energy balanced routing protocol proposed in this paper can effectively realize the energy balanced use of the network data transmission process. Compared with other common routing protocols, the wireless sensor network routing protocol proposed in this paper can not only improve the data transmission efficiency and reduce the data redundancy but also save energy consumption and prolong the network running time. The design method of routing protocol proposed in this paper will be conducive to the optimization and application of routing protocol in wireless sensor networks and provide a theoretical basis for the related research of wireless sensor networks.
Encapsulation of Lactic Acid Bacteria by Lyophilisation with Its Effects on Viability and Adhesion Properties
Authors: Patil Abhinandan , Munot Neha , Patwekar Mohsina , Patwekar Faheem , Ahmad Irfan , Alraey Yasser , Alghamdi Saad , Kabrah Ahmed , Dablool Anas S. , Islam Fahadul
Published: May 2022

Lactobacillus (LAB) genera are considered important functional food but are found to have a short shelf life. In this study, two LAB, Lactobacillus plantarum (Lp) and Lactobacillus rhamnosus (Lr), were isolated from sheep’s milk, and whole-genome sequencing was carried out by using 16s rRNA Illumina Nextseq, the Netherlands. The LAB were encapsulated by the lyophilisation technique using different lyoprotective pharmaceutical excipients. This process was carried out using a freeze dryer (U-TECH, Star Scientific Instruments, India). Shelf-life determination was carried out by a 12-month study using the viability survival factor (Vsf). The in vitro cell adhesion technique was carried out by using the red snapper fish along with autoaggregation and cell surface hydrophobicity as vital probiotic properties. It was observed that Lp has a significantly higher (P < 0.001) Vsf of 7.2, while Lr has a Vsf of 7 (P < 0.05) when both are encapsulated with 10% maltodextrin + 5% sucrose kept at 4°C for 12 months. The result demonstrated that Lp had significantly high (P < 0.05) cell adhesion, 96% ± 1.2 autoaggregation, and 6% cell surface hydrophobicity as compared to Lr. Moreover, this study demonstrated that lyophilised LAB with lyoprotective excipients enhances shelf life without any changes in probiotic properties when kept at 4°C exhibiting all its probiotic properties.
Effect of Midwives’ Application of Intelligent Delivery Room Management System on Delivery Outcome
Authors: Li Xia , Zhang Ping , Zhang Yong , Cui Gaiying , Du Hui
Published: May 2022

Objective. To investigate the impact of midwives using an intelligent delivery room management system on the outcome of deliveries. Method. A total of 100 primiparas admitted to the department of obstetrics and gynecology of our hospital from January 2019 to June 2020 were selected as the research objects. They were randomly assigned to one of two groups: control or observation. The control group got standard obstetric care. On the basis of the control group, midwives in the observation group applied the intelligent delivery room management system for delivery management. The outcomes of childbirth, postpartum anxiety, and postpartum depression were recorded and compared between the two groups. Results. The observation group’s first and second stages of labour were shorter than the control group’s (

P
<
0.05

), postpartum NRS score was lower than the control group’s (

P
<
0.05

), neonate Apgar score was higher than the control group’s (

P
<
0.05

), and the rate of vaginal delivery to caesarean section was lower than the control group’s (

P
<
0.05

). There was no statistical significance in prenatal S-AI scores between the observation group and the control group (

P
>
0.05

). After delivery, the S-AI score of the observation group was lower than that of the control group, and the comparison result was statistically significant (

P
<
0.05

). There was no significant difference in prenatal EPDS scores between the observation group and the control group (

P
>
0.05

). After delivery, the EPDS score of the observation group was lower than that of the control group, and the comparison result was statistically significant (

P
<
0.05

). Conclusion. Midwives may employ sophisticated delivery room management technologies to improve birth outcomes and reduce maternal anxiety and depression, and it is something that should be extensively promoted in clinic.