bluuebunny/crossref_metadata_2025 huggingface dataset:
Stimulation of Gs signaling in MC4R cells by DREADD increases energy expenditure, suppresses food intake, and increases locomotor activity in mice
Authors: Matsumura Shigenobu , Miyakita Motoki , Miyamori Haruka , Kyo Satomi , Shima Daisuke , Yokokawa Takumi , Ishikawa Fuka , Sasaki Tsutomu , Jinno Tomoki , Tanaka Jin , Goto Tsuyoshi , Momma Keiko , Ishihara Kengo , Berdeaux Rebecca , Inoue Kazuo
Published: March 2022

We report that Gs signaling in melanocortin 4 receptor (MC4R)-expressing cells regulates energy expenditure, appetite, and locomotor activity. These findings shed light on the mechanism underlying the regulation of energy metabolism and locomotor activity by MC4R/cAMP signaling.
GravCPA: Controller Placement Algorithm Based on Traffic Gravitation in SDN
Authors: Wang Chenhui , Ni Hong , Liu Lei
Published: March 2022

Software-defined network separates the control plane and the data plane, making the network more flexible. With the expansion of the network scale, one centralized controller cannot meet the latency needs of large-scale networks. Therefore, it is necessary to use multicontroller architecture, which has some problems with the controller placement. In this article, we take both the average latency and the worst latency between switch and controller into consideration and make a multi-objective optimization model. An improved label propagation algorithm based on traffic gravitation is proposed to solve the subdomain division problem, and a heuristic method is for subdomain controller placement. The simulation experiments show the effectiveness of the proposed algorithm and the time complexity guarantee for large-scale networks.
Teaching Mode of English Language and Literature Based on Artificial Intelligence Technology in the Context of Big Data
Authors: Chen Meiyi , Yuan Zaicheng
Published: March 2022

Widespread problems exist in English major education, which directly or indirectly restrict the development of English major education. The teaching mode of English language and literature is considered in the context of big data. This paper designs an online English learning system platform based on the BP neural network algorithm under the big data network and uses the BP neural network for learning to improve the learning level of the platform. This article adds a course of Chinese and Western cultural comparison in the process of education and teaching. Through Chinese literature and culture courses, it is conducive to learning and inheriting Chinese civilization, training students' ability to understand and communicate Chinese and Western civilizations, and also training students' thinking skills. The teaching plan introduces courses with Chinese elements such as the history of Chinese philosophy and the introduction of Chinese literary classics. Through the courses of Chinese literature and culture, students are guided to ask questions, apply theory to practice, conduct experiments, obtain data, and then analyze problems and draw conclusions according to certain research methods, which exercises students' thinking ability. This also improves students' language application ability through English writing courses. In addition, this paper designs an English language and literature teaching system. With the support and guidance of the English intelligent teaching system, it analyzes the learning level and weaknesses and puts forward teaching suggestions. Then, data mining technology is used to find the key information in the answers from the massive data and is applied to English teaching. In the English learning test, the average attitude of the experimental class was 1.3314 points. This research will effectively solve the problem of English major courses.
Effect of Overconfidence on Product Diffusion in Online Social Networks: A Multiagent Simulation Based on Evolutionary Game and Overconfidence Theory
Authors: Wei Xiaochao , Liao Qi , Zhang Yanfei , Nie Guihua
Published: March 2022

The rapid development of online social media has significantly promoted product diffusion in online social networks (PDOSN). However, prior studies focusing on irrational behavior, such as overconfidence, in PDOSN are scarce. To investigate the effect of overconfidence on PDOSN, this study combined overconfidence and an evolutionary game to conduct a multiagent simulation on PDOSN. This combined method provided an effective reference to examine product diffusion in the context of irrational behavior. After careful consideration, this study identified three overconfidence scenarios, benefit, cost, and benefit and cost overconfidence, developed a multiagent simulation model for PDOSN using various overconfidence scenarios, and conducted a comparison with real‐world cases to validate the model’s feasibility. The findings indicated that adoption benefits and betrayal penalties had a positive effect on the results in all models, while adoption costs had the opposite effect. When benefit and cost overconfidence occurred simultaneously, benefit overconfidence offset the negative effect of cost overconfidence. Moderate connectivity, a large number of core nodes, and high reconnection probability fully promoted product diffusion. Benefit overconfidence and cost overconfidence had a significant impact on the results in different networks. As such, this study combined psychological theory with simulation methods, providing insights for future research on product diffusion.
Antiinflammatory and Anticancer Properties of Grewia asiatica Crude Extracts and Fractions: A Bioassay‐Guided Approach
Authors: Qamar Muhammad , Akhtar Saeed , Barnard Ross T. , Sestili Piero , Ziora Zyta M. , Lazarte Claudia E. , Ismail Tariq
Published: March 2022

The study was an extension of our earlier work on antiinflammatory and anticancer properties of G. asiatica fruit. We aimed to develop a bioassay guided multistep purification technique for producing bioactive fractions of G. asiatica crude extracts. Dried fruit powder was sequentially fractionated with 100% dichloromethane, 100% methanol (MeOH), and 50% MeOH. Active extracts were subjected to liquid‐liquid partitioning followed by subfractionation using RP‐HPLC. Antioxidant, antiinflammatory, and anticancer activities of the fruit extracts, and their potent fractions were evaluated in vitro, while identification of compounds from the bioactive fractions was performed by ESI‐MS/MS analysis. The amount of the identified compounds present was confirmed using external standards adopting a simple, accurate, and rapid analytical HPLC method. The results showed that 100% and 50% MeOH extracts possessed bioactivity; one of which (the 50% MeOH extract) displayed potent activity in all in vitro bioassays. MeOH extract (50%) derived fraction C and hydroalcoholic fraction 5 (GAHAF5) were observed to possess higher antioxidant, antiinflammatory, and in vitro anticancer activity. IC50 of GAHAF5 against MCF‐7, HEp‐2, and NCI‐H522 cancer cells was recorded as 26.2, 51.4, and 63 μg/mL, respectively. ESI‐MS/MS and HPLC analysis identified catechin, chlorogenic acid, caffeic acid, and morin as potential bioactive compounds in the GAHAF5 fraction with concentrations of 1230, 491, 957, and 130 μg/g, respectively. The findings indicated that G. asiatica bioactive fractions possessed antiinflammatory activity in vitro and were cytotoxic against breast cancer, lung cancer, and laryngeal cancer cell lines.
Associations of Changes in Intestinal Flora and Inflammatory Factors with Prognosis of Patients with Esophageal Cancer
Authors: Wu Cheng , Wang Ming , Zhou Qing , Shi Hui
Published: March 2022

This study aims to explore the associations of changes in intestinal flora and inflammatory factors with the prognosis of patients with esophageal cancer (EC). A total of 40 EC patients treated and 40 normal people who underwent gastroscopy and CT examination for gastrointestinal discomfort during the same period were selected as the participants of the study. The endotoxin level, colonization ability of intestinal flora, and distribution of intestinal flora (Bifidobacterium, Lactobacillus, Escherichia coli, and Enterococcus) were compared between the two groups. The levels of inflammatory factors interleukin-6 (IL-6), high-sensitivity C-reactive protein (hs-CRP), and tumor necrosis factor-α (TNF-α) were also compared between the two groups. All participants were followed up for 3 years, and the associations of survival time with colonization ability of intestinal flora and changes in hs-CRP were analyzed. Finally, the univariate and multivariate logistic regression analyses were performed for related factors affecting the survival time of EC patients. In the observation group, the endotoxin level was significantly higher (

P
<
0.05

), the colonization ability of intestinal flora was significantly weaker (

P
<
0.05

), the levels of Bifidobacterium and Lactobacillus were obviously lower (

P
<
0.05

), and the levels of Escherichia coli and Enterococcus were obviously higher than those in the normal group (

P
<
0.05

). Besides, the observation group had abnormal and evidently higher levels of IL-6, hs-CRP, and TNF-α than the normal group (

P
<
0.05

). The survival time was positively correlated with the colonization ability of intestinal flora (

P
<
0.05

), but negatively correlated with the changes in hs-CRP (

P
<
0.05

). Moreover, the increased level of endotoxin, weakened colonization ability of intestinal flora, abnormal distribution of intestinal flora, and elevated levels of inflammatory factors were all related and independent risk factors affecting the survival time of EC patients. In EC patients, the endotoxin level markedly rises, the colonization ability of intestinal flora declines, and there are intestinal flora disorders and enhanced inflammatory response. With the decline in colonization ability of intestinal flora and the increase of inflammatory response, the survival time of EC patients will be shortened.
Investigation on the Mechanical and Thermal Insulation Properties of Hollow Microspheres/Phenolic Syntactic Foams
Authors: Dai Jing , Peng Chao , Zhang Shuyue , Wu Shun , Shi Minxian , Huang Zhixiong
Published: March 2022

Hollow microspheres are widely used in syntactic foam as a lightweight filling material. Hollow glass microspheres (HGM) and hollow phenolic microspheres (HPM) were added to the phenolic resin to prepare phenolic syntactic foams. Then the mechanical properties, thermal insulation properties, and thermal property stability of them were studied. The mechanical test result shows that the flexural strength of phenolic syntactic foam gradually decreases with the increasing volume fraction of microspheres at room temperature. When the volume fraction of HGM is 20%, the specific strength of phenolic syntactic foam can rise to 0.0334 Nm/kg. HGM reduces the density of the phenolic syntactic foam and remains at high strength. In addition, the thermal conductivity of phenolic syntactic foam decreases with the increasing volume fraction of the hollow microspheres, indicating that the microspheres can effectively improve the thermal insulation performance of the phenolic syntactic foam. Meanwhile, the thermal conductivity of phenolic syntactic foam also increases as the heat treatment temperature rises. In addition, the thermal insulation performance of phenolic syntactic foam containing HGM is better than that containing HPM. Thermal analysis experiments show that the thermal weight loss rate becomes slower as the content of HGM increases. Therefore, HGM improves the thermal stability of the containing phenolic syntactic foam. However, the HPM reduces the thermal decomposition temperature and the thermal stability of the phenolic syntactic foam. This work provides the technical basis for applying phenolic syntactic foam as a heat insulation material.
Metformin Protects against Spinal Cord Injury and Cell Pyroptosis via AMPK/NLRP3 Inflammasome Pathway
Authors: Yuan Yajiang , Fan Xiangyi , Guo Zhanpeng , Zhou Zipeng , Gao Weiran
Published: March 2022

Spinal cord injury (SCI) is an extreme neurological impairment with few effective drug treatments. Pyroptosis is a recently found and proven type of programmed cell death that is characterized by a reliance on inflammatory caspases and the release of a large number of proinflammatory chemicals. Pyroptosis differs from other cell death mechanisms such as apoptosis and necrosis in terms of morphological traits, incidence, and regulatory mechanism. Pyroptosis is widely involved in the occurrence and development of SCI. In-depth research on pyroptosis will help researchers better understand its involvement in the onset, progression, and prognosis of SCI, as well as provide new therapeutic prevention and treatment options. Herein, we investigated the role of AMPK-mediated activation of the NLRP3 inflammasome in the neuroprotection of MET-regulated pyroptosis. We found that MET treatment reduced NLRP3 inflammasome activation by activating phosphorylated AMPK and reduced proinflammatory cytokine (IL-1β, IL-6, and TNF-α) release. At the same time, MET improved motor function recovery in rats after SCI by reducing motor neuron loss in the anterior horn of the spinal cord. Taken together, our study confirmed that MET inhibits neuronal pyroptosis after SCI via the AMPK/NLRP3 signaling pathway, which is mostly dependent on the AMPK pathway increase, hence decreasing NLRP3 inflammasome activation.
Genetic Diversity, Repeat Motifs, and Natural Selection at the C-Terminal Knob-Associated Histidine Rich Protein (KAHRP) of Plasmodium falciparum Clinical Samples from Saudi Arabia
Authors: Bin Dajem Saad M. , Ahmed Md Atique , Fe F Bohol Marie , Wazid Syeda Wasfeea , Shafeai Mohammed I. , Rudiny Fuad H. , Motaen Ali M. , Morsy Kareem , Alothaid Hani , Al-Qahtani Ahmed A.
Published: March 2022

Background. Malaria is still a public health problem in Saudi Arabia specifically in the Jazan region. Plasmodium falciparum knob-associated histidine-rich proteins (PfKAHRPs) play an important role in cerebral malaria pathophysiology as well as pathogenesis of P. falciparum infections. The repeat region of PfKAHRP C-terminal interaction domain has been found to bind to the infected red blood cells and the vascular endothelium. Thus, this study aimed to assess the allelic variations, genetic diversity, and natural selection acting at the C-terminal PfKAHRP between parasite isolates from Saudi Arabia. Materials and Methods. The PfKHARP C-terminal interaction domain was successfully PCR-amplified and sequence data from 441 clinical isolates from Saudi Arabia were obtained. The DnaSP v5.10 software was used to determine the genetic diversity, polymorphism, haplotype, and natural selection. Haplotype network analysis was constructed by using the median-joining method in the NETWORK version 5.0.0.1 software. Results. Alignment and analysis of 441 C-terminal PfKAHRP-deduced amino acid sequences identified 5 genotypes (I–V) based on the decapeptide repeat arrangements (TKEASTSKEA, TKEASTSKGA, TKEASTTEGA, and TKEASTSKRA). Among the repeat types, Type I (49.43%, 218/441) was the most abundant in Saudi Arabia, followed by Type II (48.29%, 213/441). Overall, the nucleotide diversity in the PfKHARP C-terminal region was found to be low in Saudi Arabia (π = 0.00142); however, natural selection tests indicated positive selection (dN-dS = 1.64,

P
<
0.05

) which was due to the variations within the repeat motifs. Genealogical relationship haplotype network of PfKAHRP from 4 different countries (i.e., Saudi Arabia, Iran, Burundi, and India) revealed 1 major shared haplotype cluster (H_1) with samples representative from all 4 countries (Saudi Arabia; n = 441, Burundi; n = 4, Iran; n = 13, and India; n = 1). Conclusion. Since this is the first study to report on genetic diversity of C-terminal PfKAHRP interaction domain and the repeat motifs from clinical samples in Saudi Arabia, it will contribute towards the rational design of antiadhesion drug therapies for P. falciparum malaria.
Research on Dynamic Design of Ideological and Political Education Based on Intelligent Algorithm
Authors: Cheng Youming
Published: March 2022

The digital civilization of human-computer coexistence has become a reality, thanks to the intelligent era. The widespread application of artificial intelligence technology in education has paved a new road for the collaborative and innovative development of ideological and political science teachers in universities and schools. In response to the problems of irregular, unprofessional, and unified resource sharing channels, duplicated, inverted, and disconnected teaching contents, and uncoordinated, insufficient, and unbalanced scientific research linkages in the integration process of university and college civics courses, the B/S three-layer architecture framework is used to build a university and college civics course teachers’ collaborative innovation platform that supports both PC and cell phone use by using jQuery, my structured query language (MySQL), hypertext preprocessor (PHP), juvenile sex offender assessment protocol (J-SOAP) crawlers, and other technologies. Teachers of civics courses can use the platform as a collaborative innovation tool. The goal of integrating resources, teaching, and scientific research of university and college civics courses is achieved, and the collaborative innovation development of university and college Civics teachers is promoted from theory to practice, thanks to the development of three major functions of the platform, namely, resource sharing, scientific research exchange, and teaching mutual assistance.
Effect of Pulmonary Rehabilitation on Postoperative Clinical Status in Patients with Lung Cancer and Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis
Authors: Wang Lu , Yu Mingwei , Ma Yunfei , Tian Rong , Wang Xiaomin
Published: March 2022

Pulmonary rehabilitation (PR) has a curative effect in patients undergoing pneumonectomy for lung cancer. Nevertheless, the contribution of PR to the clinical status of patients with chronic obstructive pulmonary disease (COPD) undergoing lung resection has not been adequately elucidated. The aim of this systematic review of randomized and nonrandomized controlled trials was to appraise the impact of PR compared to conventional treatment based on postoperative clinical status in patients with lung cancer and COPD. Literature in English from PubMed, Cochrane Library, Science Citation Index, and Embase databases and in Chinese from the Chinese National Knowledge Infrastructure and the WANFANG Database was retrieved from inception to November 2021, employing the keywords “Pulmonary Neoplasms,” “Chronic Obstructive Pulmonary Diseases,” “Physical Therapy Modalities,” and “pulmonary rehabilitation.” Only studies that reported PR results were included. This review was registered in the International Prospective Register of Systematic Reviews (number: CRD42021224343). A total of nine controlled trials with 651 patients were included. Postoperative pulmonary complications (PPCs) were the primary outcome measure. PR decreased the risk of complications after surgery compared to regular treatment (odds ratio (OR) 0.21, 95% confidence interval (CI) 0.12–0.37,

P
<
0.01

). PR reduced the risk of pneumonia after surgery compared to regular treatment (OR 0.36, 95% CI 0.15–0.86,

P
=
0.02

). There was a significant difference in the postoperative length of stay (mean difference −2.13 days, 95% CI −2.65 to −1.61 days,

P
<
0.05

). PR was an effective intervention that decreased PPCs in patients suffering from lung cancer and COPD. However, due to the limitations of the available data, the results should be interpreted with caution.
Effect of Different Reduction Intramedullary Nails on Spiral Fracture of Middle and Lower Tibia
Authors: Shi Yongxin , Li Fuqin , Liang Weiguo , Liu Jinshi
Published: March 2022

Objective. To compare the efficacy of different reduction and intramedullary nailing in the treatment of spiral fracture of middle and lower tibia. Method. A total of 96 patients with spiral fractures of middle and lower tibia treated with intramedullary nails were retrospectively analyzed. The patients were divided into closed functional reduction group, open anatomical reduction group, and closed anatomical reduction group according to different treatment methods. The operation time, intraoperative blood loss, intraoperative fluoroscopy times, fracture healing time, fracture nonunion, wound complications, and healing conditions of the three groups were compared. Results. The operation time and intraoperative fluoroscopy times of patients in the closed anatomical reduction group were significantly increased compared with those in the closed functional reduction group, while the fracture healing time was significantly reduced. However, patients in the open reduction group had significantly more intraoperative blood loss than those in the closed reduction group. The mean follow‐up duration of patients was 15.81 ± 3.25 months. Open anatomical reduction was found to have a higher complication rate during follow‐up. Specifically, a total of 3 cases recovered after 2 times of surgical treatment. 6 cases showed a small gap at the fracture end which did not affect the function. Conclusion. In the treatment of middle and lower spiral fracture of tibia, closed anatomical reduction and intramedullary nail internal fixation have shorter fracture healing time, less blood loss, and fewer complications, which can act as the first surgical choice. However, open reduction and intramedullary nailing have a high complication rate, which is not recommended.
Artificial Intelligence for Education and Teaching
Authors: Xue Yajing , Wang Yijun
Published: March 2022

Artificial intelligence has entered an unprecedented period of rapid growth and is completely changing all aspects of life. The state needed a comprehensive curriculum, but how to get the way to artificial intelligence+curriculum is still not discussed in the curriculum. In view of this, this article combines artificial intelligence to promote research on teaching reform, which is aimed at encouraging the implementation of artificial intelligence education and promoting the development of cognitive and pedagogical skills. This object uses the query analysis method to collect the data and analyzes the data based on the distribution technology and the new technological process. It concludes that in life, teachers know more about common artificial intelligence products, such as sound aids , graphics, identity, fingerprint recognition, and smart home. Among teachers using artificial intelligence products, the most frequently used is mobile APP teaching, followed by teachers’ online training platforms. Some teachers use automatic correction assignment systems in teaching, with the help of intelligent classrooms, robotic assistants, and other major future teaching intelligent products. The impact of artificial intelligence on teachers themselves is reducing the teaching workload and improving information literacy. Of course, there are very few teachers who think that artificial intelligence has little or no relationship with teacher professional development. Teachers recognize the role of artificial intelligence. 52.1% of teachers think that artificial intelligence is very helpful to the professional development of teachers. 32.3% of teachers think that artificial intelligence is more helpful to their professional development. 12.5% of teachers recognize artificial intelligence. In general, only 3.1% of teachers believe that artificial intelligence is not helpful to their professional development.
Design of Building Environment Detection System for Architectures Based on Internet of Things
Authors: Zhang Dongfang , Ji Hui , Li Zhennan , Ge Hui
Published: March 2022

In the process of urban building design, a new integrated system for monitoring the environment is developed and designed by using embedded development technology and sensor technology. The system uses a wireless sensor network environment monitoring system IoT platform with embedded internal processors. Analyze and design the system as a whole, including the construction of the basic platform of the system, the design of the internal plates and circuits of the system, the monitoring design of the input node, and the monthly design of the output interface calculation. Finally, a physical model is built, and data measurement and analysis are carried out under different conditions, and the evaluation and advantage analysis of the system's operating status are given. The system can carry out all-round, multilevel, and three-dimensional real-time monitoring of the construction site environment, including dust, PM2.5, temperature, humidity, wind speed, carbon dioxide, and other indicators in the construction site environment. In addition, the system can upload various monitoring data to the detection system through the internal network. The system has the functions of monitoring, alarming, recording, querying, and counting of the target monitoring station and can also be linked with the environmental control device. The construction site staff can conduct real-time supervision through the mobile terminal and computer terminal management platform. In addition, it can also meet the role of real-time remote monitoring and online guidance and regulation. It has reference value for the safety and management of the actual operation process of the project.
Neuropharmacological and Antidiabetic Potential of Lannea coromandelica (Houtt.) Merr. Leaves Extract: An Experimental Analysis
Authors: Islam Fahadul , Mitra Saikat , Nafady Mohamed H. , Rahman Mohammad Tauhidur , Tirth Vineet , Akter Aklima , Emran Talha Bin , Mohamed Amany Abdel-Rahman , Algahtani Ali , El-Kholy Sanad S.
Published: March 2022

The present study examines the neuropharmacological and antidiabetic properties of methanol leaves extract of Lannea coromandelica in animal models. This study is carried out by elevated plus-maze apparatus, motor coordination, thiopental sodium has an induction role in sleeping time, hole board, hole cross, open field, antidiabetic studies. Mice were treated doses of 100, 150, and 200 mg/kg body weight in elevated plus-maze apparatus and motor coordination; 100 and 200 mg/kg body weight in sleeping time, hole cross, hole board, and open field tests; and 200 and 400 mg/kg body weight in the antidiabetic activity test. Extraction specifies a significantly decreased time duration and sleeping time in a thiopental sodium-induced sleeping time test. The experimental extract decreased locomotor and exploratory behaviors of mice in the open-field and hole-cross tests compared to the effects of the control. Furthermore, the extract increased sleeping time with a dose-dependent onset of action. The hole-board test extract also demonstrated a reduced number of head dips. The findings showed that L. coromandelica has potential neuropharmacological effects. In addition, in alloxan-induced diabetic mice, leaves extract at 200 and 400 mg/kg body weight revealed significant antidiabetic properties and could be used to manage blood glucose levels with more research.
Preliminary Study on the Therapeutic Effect of Doxorubicin-Loaded Targeting Nanoparticles on Glioma
Authors: Lan Weitu , Zhang Hongguang , Yang Bo
Published: March 2022

Doxorubicin (DOX) is an anthracycline anticancer drug, which is often associated with drug resistance and cytotoxicity. More unfortunately, the biological barrier in the human environment can weaken the efficacy of DOX, such as the blood-brain barrier (BBB). This work attempts to make efforts to solve this problem. We used polyethylene glycol distearoylphosphatidylethanolamine (PEG-DSPE) as a nanocarrier and DOX as a model drug to construct a composite nanodrug (TF-PEG-DSPE/DOX NPs) by coupling transferrin (TF). The results of glioma experiments show that the nanodrug can effectively penetrate BBB to achieve an antitumor effect.
Mechanism of Sishen-Pill-Regulated Special Memory T and mTfh Cell via Involving JAK/STAT5 Pathway in Colitis Mice
Authors: Wang Mengxue , Huang Xiaoying , Kang Zengping , Huang Jiaqi , Wei Siyi , Zhao Haimei , Zhong Youbao , Liu Duanyong
Published: March 2022

It is known that memory T cells (mT cell) and memory T follicular cells (mTfh) play vital roles in the IBD pathogenesis. Sishen Pill (SSP) is a classic prescription used to treat chronic ulcerative colitis (UC). However, it is still unclear whether SSP can regulate immune homeostasis induced by mT cell and mTfh to treat IBD. In this study, we measured mT cell and mTfh level to explore the conceivable mechanism of SSP-treated IBD. The mice colitis were induced by dextran sulfate sodium (DSS) and were treated by SSP for 7 days. The therapeutic effect of SSP was evaluated by macroscopic and microscopic observation; the mT cell, mTfh, and their subsets were analyzed by flow cytometry. Activation of the JAK/STAT signaling pathway was analyzed by using a Western blot. In the present study, SSP significantly reversed weight loss and colonic injury (colon weight increase and colonic length shortening) caused by 3% DSS in physiological saline solution. Flow cytometry showed that the percentages of CD4+ and CD8+ expressions on central memory T cells were enhanced after SSP treatment, while the CD4+ T cm, CD4+ mTfh (memory T follicular helper) cells and their subpopulations were also significantly increased. Moreover, SSP inhibited the expression of JAK/STAT signaling pathway proteins JAK1, PIAS3, STAT5, p-STAT5, BIM, BAX, caspase-3, and β-casein and promoted the expression of JAK3, PISA1, Bcl-2, and caveolin-1. In summary, SSP can regulate immune homeostasis induced by mT cell and mTfh in DSS-induced colitis, which is potentially correlated with JAK/STAT signaling pathway activation.
Influence of Dietary Inositol Supplementation on Growth, Liver Histology, Lipid Metabolism, and Related Genes Expression on Juvenile Hybrid Grouper (♀ Epinephelus fuscoguttatus × ♂ E. lanceolatu) Fed High-Lipid Diets
Authors: Pan Simiao , Yan Xiaobo , Dong Xiaohui , Li Tao , Suo Xiangxiang , Liu Hao , Tan Beiping , Zhang Shuang , Li Zhihao , Yang Yuanzhi , Zhang Haitao
Published: March 2022

An 8-week feeding trial was conducted to investigate the effects of dietary inositol on growth performance, lipid metabolism, and expression of lipid related genes of hybrid grouper (♀ Epinephelus fuscoguttatus × ♂ E. lanceolatu) (initial body weight

6.76
±
0.34

 g). Six isonitrogenous and isolipidic (16.35%) diets were formulated to contain graded levels of inositol (0.17 g/kg (J1), 0.62 g/kg (J2), 1.03 g/kg (J3), 1.78 g/kg (J4), 3.43 g/kg (J5), and 6.59 g/kg (J6)). The results indicated that (a) weight gain rate appeared gradually increasing trend and significant increase in four inositol treatments (J3, J4, J5, and J6) (

P
<
0.05

). Protein efficiency ratio was slightly improved in the J4 group (

P
<
0.05

), but there was no significant difference exhibiting in survival rate between the inositol-treated groups and the control group (

P
>
0.05

). (b) In serum, dietary inositol significantly reduced the contents of triglyceride (TG), total cholesterol (TC), low-density lipoprotein, and clearly increased the content of high-density lipoprotein (

P
<
0.05

). In the liver, dietary inositol significantly decreased contents of TG, TC, and very low-density lipoprotein (

P
<
0.05

). The activities of lipoprotein lipase, hepatic lipase, and adipose triglyceride lipase were slightly improved in the inositol-treated groups (

P
<
0.05

). (c) With increasing of inositol supplement, decreasing of lipid droplet could be observed in hepatocyte. (d) In the liver, dietary inositol significantly downregulated the mRNA levels of fatty acid synthase (FAS), acetyl-CoA carboxylase (ACC), 6-phosphogluconate dehydrogenase (6PGD), and sterol regulatory element-binding protein-1 (SREBP1) (

P
<
0.05

), while it remarkably upregulated the mRNA levels of lipoprotein lipase (LPL), hormone-sensitive lipase (HSL), and carnitine palmitoyl transferase1 (CPT1) (

P
<
0.05

). In summary, dietary inositol improved growth and reduced lipid composition in the liver of hybrid grouper through decreasing of fatty acid synthesis and increasing of lipid catabolism. Under the experimental conditions, broken-line regression analysis showed that 1.23~1.67 g/kg dietary inositol was recommended in juvenile grouper high-lipid diets.
Modeling and Analysis of Postdisaster Aviation Medical Rescue Process Using SPN-MC
Authors: Zhang Qingsong , Wang Xuezheng , Jin Yijia , Luo Xingna
Published: March 2022

Analyzing the time characteristics of the aviation medical rescue process after sudden natural disasters is an extremely important guarantee for efficient rescue. In view of the problem of the significant increase in the complexity and uncertainty of the postdisaster aviation medical rescue process under time constraints, this study sorted out and analyzed the postdisaster aviation medical rescue process. The dynamic discrete modeling of the postdisaster aviation medical rescue process was carried out in combination with the stochastic Petri net (SPN) theory, and the effectiveness of the process of postdisaster aviation medical rescue was analyzed by using the isomorphism relationship between SPN and Markov chain (MC). Finally, the Sichuan Jiuzhaigou Earthquake event was taken as a case study to carry out the performance analysis and sensitivity analysis of the postdisaster aviation medical rescue process model. The results showed that information accumulation tends to occur in the process of flight planning, flight preparation, flight information transmission, and field information feedback. On-site rescue, casualty transfer, preflight preparation, and personnel preparation take a relatively long time. In the actual rescue process, emergency decision-makers and rescue crews should focus on optimizing and improving these links. The route formulation and airspace application as the main factors affecting the operation time of the postdisaster aviation medical rescue process system should be used as the key to process optimization so as to improve the efficiency of postdisaster aviation medical rescue.
Application of Product Life Cycle Management Method in Furniture Modular Design
Authors: Wang Shiqi
Published: March 2022

With the rapid development of informatization and network technology, it has become an inevitable trend to use informatization to drive industrialization, industrialization to promote informatization, and high-tech to improve China’s traditional manufacturing industry. In order to conform to the trend of furniture development, combined with the characteristics of China’s furniture manufacturing industry, this paper analyzes the sustainability of multifunctional furniture based on the whole life cycle of the product, and improves the sustainable utilization rate of multifunctional furniture at each stage of the life cycle, and then apply the modular concept for structural design. At the same time, the paper studies the modular design of imitation solid wood frame cabinet furniture. This paper proposes a method of producing and designing imitation solid wood frame cabinet furniture by using the cabinet module of panel furniture. This design method makes it possible to change the shape and style through a wide variety of decorative modules, under the condition that the basic modules of the cabinet are the same as the panel furniture, to produce imitation solid wood frame furniture with different styles. The research results show that this paper redefines multifunctional furniture based on the product life cycle, proposes a new definition of multifunctional furniture under the sustainable concept, and proposes the design process of multifunctional furniture. At the same time, the application of a multifunctional furniture design process for furniture design can effectively improve the sustainability of furniture.
Association of Pentachlorophenol with Fetal Risk of Prolonged Bradycardia: A Systematic Review and Meta-Analysis
Authors: Song Xueyun , Fu Xiaodong
Published: March 2022

Objective. This study explored the systematic evaluation and meta-analysis of different concentrations of PCP on the risk of long-term bradycardia in fetuses. Methods. Cochrane Library, Embase, PubMed, China Biomedical Literature Service, CNCNKI, and Wanfang database were computerized to collect all case-control studies on the association between variety classes and different concentrations of environmental pollutant gas to fetal of prolonged bradycardia. After evaluating the quality of the inclusion study and extracting valid data, meta-analysis was performed using Stata15 software. Relative hazards were calculated using the Mantel-Haenszel method and the random effect model, and P values and I2 values were used for heterogeneity evaluation. When heterogeneity occurs, subgroup analysis and sensitivity analysis were used to explore the sources. Results. A total of 15 studies were included, including 1202 patients with fetal of prolonged bradycardia and 1380 in the control population. Meta-analysis showed that there was no statistical difference in PCP < 0.1 mg/L between the experimental group and control group (OR = 1.03, 95% CI (0.62, 1.72),

P
=
0.90

, I2 = 0%, Z = 0.13), but there was a statistical difference in PCP > 5 mg/L (OR = 1.73, 95% CI (1.15, 2.58),

P
=
0.008

, I2 = 0%, Z = 2.65), PCP > 10 mg/L (OR = 1.75, 95% CI (1.19, 2.57),

P
=
0.004

, I2 = 14%, Z = 2.85), and PCP >15 mg/L (OR = 2.02, 95% CI (1.38, 2.95),

P
=
0.0003

, I2 = 77%, Z = 3.61). Conclusion. In this study, we found that different concentrations of PCP increased the risk of long-term bradycardia in fetuses, and the risk coefficient increased with the increase of PCP concentration.
Information Analysis of Advanced Mathematics Education-Adaptive Algorithm Based on Big Data
Authors: Tan Jiabo
Published: March 2022

With the rapid development of artificial intelligence (AI) concept technology, it promotes the innovation of educational concept. Mostly for the education information analysis in the class of mathematics in the university, it should be based on a big data-driven system to promote the quality of teaching in the classroom. In the method of teaching math in university, teachers should take full advantage of the benefits of a big data-driven system powered by AI, grow a good teaching model for students, promote education through big data, progressively teach students according to their aptitude, develop in a tailored direction, increase teaching quality and effectiveness, and finally create more great talents for our country. For the sake of improving the resource sharing and the management level of the curriculum which teaches advanced knowledge about mathematics teaching, based on a particle swarm optimization algorithm, an advanced math teaching system is proposed in this paper. The fusion model that can be used in the teaching process of math in university is constructed, the adaptive scheduling of the curriculum which teaches advanced knowledge about mathematics auxiliary teaching resources is realized by an optimization algorithm used for fusion particle swarm, the autocorrelation feature of the curriculum which teaches advanced knowledge about mathematics auxiliary teaching resources is extracted, and the adaptive optimization of the curriculum which teaches advanced knowledge about mathematics auxiliary teaching resource fusion is realized by fuzzy correlation feature matching and statistical analysis. In the process of particle swarm optimization, the combination of statistical features is studied and managed, the resource scheduling and information fusion are realized, and the management capability of the curriculum which teaches advanced knowledge about mathematics auxiliary teaching is promoted, and the experimental results demonstrate that the designed system has a high integration of teaching information resources and strong information scheduling ability and improved the management level of the curriculum which teaches advanced knowledge about mathematics complementary teaching.
A Research on the Biophilic Concept upon School’s Design from Hot Climate: A Case Study from Iraq
Authors: Almusaed Amjad , Alasadi Asaad , Almssad Asaad
Published: March 2022

In recent years, there have been solid global trends and severe attempts by ministries of education in the world to improve the reality of educational institutions and schools through the design and construction of schools and educational systems that meet the requirements of the age by applying the concepts of sustainable and effective systems to the new generation. They called for a promising future and hence the need to activate the applications of the biophilic schools. The theme of the biophilic schools is closely related to the concept of sustainable environmental structures that deal with the surrounding natural environment with intimacy, which is one of the most important new methods of design and construction at present, where ecological challenges are powerfully evoked in the making of their design decisions. Biophilic schools are an essential part of a new concept that wants to design revolutionary educational systems with new economic outputs that are valuable but do not depart from the idea of sustainable schools in general. It represents an expression given to schools designed to be environmentally sensitive and healthy for their occupants and educational systems based on experience, humanity, and attraction. Indeed, many architects have begun to explore and develop new architectural designs linked with the concepts of biophilic schools. Through the researchers’ awareness of the negative circumstance experienced by school buildings in Iraq and by investing in the recommendations of an applied field research, it was reached to crystallize the research problem represented in the obstacles that schools suffer from, which calls for the search for developmental solutions for an efficient educational environment, and in order to reach this goal, by informing researchers about new global experiences in this field, the research presented its hypothesis in choosing the model of biophilic schools that exist in many countries in the world, because of what it can provide from successful and fruitful educational and urban components. The researchers reached many conclusions and recommendations aimed at applying the research hypothesis and achieving its goals.
The Impact of Using TED Talks as a Learning Instrument on Enhancing Indonesian EFL Learners’ Listening Skill
Authors: Tilwani Shouket Ahmad , Vadivel Balachandran , Uribe-Hernández Yrene Cecilia , Wekke Ismail Suardi , Haidari Mir Mohammad Farooq
Published: March 2022

Regarding the popularity of TED Talks which are freely accessible online, we were encouraged to examine the impacts of this online resource on Indonesian EFL learners’ listening skills. The Oxford Quick Placement Test (OQPT) was used to recruit 70 Indonesian intermediate respondents for the research. They were then split into two groups: one experimental group (EG) and one control group (CG). After that, a listening test was administered to both groups. After that, the EG participants watched TED Talks via mobile devices, and the CG participants practiced listening skills via DVDs and CDs of the course textbook for 13 sessions. When the treatment ended, a posttest of listening skills was administered to the participants of both groups, and the collected data were analyzed via running paired samples and independent samples

t

-tests. The results indicated that both groups had better listening performances in their listening posttests, but the EG outperformed the CG after the treatment. Overall, the results showed that using TED Talks was more advantageous for listening development than using DVDs and CDs of the course textbook. The implications of this study can encourage EFL teachers to integrate TED Talks into their English classes.
Investigation and Analysis of the Status Quo of Competitive Aerobics Based on the Big Data of the Internet of Things
Authors: Wang Xin , Zou Yebing
Published: March 2022

Big data refers to a large amount of diverse digital information that requires new processing modes to have higher decision-making power. Big data is known for its large capacity, complex types, and high application value. At present, big data is also considered as a modern service technology. The Internet of Things technology originated from the third scientific and technological revolution, which refers to the connection of objects and networks through information sensor devices according to agreed protocols. Competitive aerobics is a sport that can perform continuous, complex, and high-intensity complete sets of movements under the accompaniment of music. The complete set of competitive aerobics combines four sets of difficulty to demonstrate the strength, balance, and flexibility of the athletes, and through the continuous combination of movements, it shows the diversity of the seven steps of competitive aerobics and the coherence of the calisthenic movements. The purpose of this paper is to investigate the current situation of competitive aerobics based on the big data of the Internet of Things. It is expected that, through the IoT and big data technology, the current situation of aerobics competition will be investigated and analyzed, the current industry situation will be analyzed, and the scientific and reasonable training methods of competitive aerobics will be explored. This paper uses a questionnaire to investigate the competitive aerobics, analyzes the problems and deficiencies reflected in the questionnaire, and proposes feasible countermeasures. The experimental results of this paper show that there are 20 coaches with undergraduate education, accounting for 49%. Therefore, in the recruitment of coaches, education and experience must be combined; it is normal for athletes to train 2–3 times a day, and the training frequency can be adjusted according to individual circumstances.
Incremental Fuzzy Clustering Based on Feature Reduction
Authors: Liu Yongli , Zhang Yajun , Chao Hao
Published: March 2022

In the era of big data, more and more datasets are gradually beyond the application scope of traditional clustering algorithms because of their large scale and high dimensions. In order to break through the limitations, incremental mechanism and feature reduction have become two indispensable parts of current clustering algorithms. Combined with single-pass and online incremental strategies, respectively, we propose two incremental fuzzy clustering algorithms based on feature reduction. The first uses the Weighted Feature Reduction Fuzzy C-Means (WFRFCM) clustering algorithm to process each chunk in turn and combines the clustering results of the previous chunk into the latter chunk for common calculation. The second uses the WFRFCM algorithm for each chunk to cluster at the same time, and the clustering results of each chunk are combined and calculated again. In order to investigate the clustering performance of these two algorithms, six datasets were selected for comparative experiments. Experimental results showed that these two algorithms could select high-quality features based on feature reduction and process large-scale data by introducing the incremental strategy. The combination of the two phases can not only ensure the clustering efficiency but also keep higher clustering accuracy.