bluuebunny/crossref_metadata_2025 huggingface dataset:
Spatio‐temporal transcriptome profiling and subgenome analysis in Brassica napus
Authors: Wei Lijuan , Du Hai , Li Xiaodong , Fan Yonghai , Qian Mingchao , Li Yali , Wang Huiyi , Qu Cunmin , Qian Wei , Xu Xinfu , Tang Zhanglin , Zhang Kai , Li Jiana , Lu Kun
Published: June 2022

Brassica napus is an important oil crop and an allotetraploid species. However, the detailed analysis of gene function and homoeologous gene expression in all tissues at different developmental stages was not explored. In this study, we performed a global transcriptome analysis of 24 vegetative and reproductive tissues at six developmental stages (totally 111 tissues). These samples were clustered into eight groups. The gene functions of silique pericarp were similar to roots, stems and leaves. In particular, glucosinolate metabolic process was associated with root and silique pericarp. Genes involved in protein phosphorylation were often associated with stamen, anther and the early developmental stage of seeds. Transcription factor (TF) genes were more specific than structural genes. A total of 17 100 genes that were preferentially expressed in one tissue (tissue‐preferred genes, TPGs), including 889 TFs (5.2%), were identified in the 24 tissues. Some TPGs were identified as hub genes in the co‐expression network analysis, and some TPGs in different tissues were involved in different hormone pathways. About 67.0% of the homoeologs showed balanced expression, whereas biased expression of homoeologs was associated with structural divergence. In addition, the spatiotemporal expression of homoeologs was related to the presence of transposable elements (TEs) and regulatory elements (REs); more TEs and fewer REs in the promoters resulted in divergent expression in different tissues. This study provides a valuable transcriptional map for understanding the growth and development of B. napus, for identifying important genes for future crop improvement, and for exploring gene expression patterns in the B. napus.
Effects of Adiabatic Flame Temperature on Premixed Combustion Stability and Emission Characteristics of Swirl-Stabilized Oxy-Methane Flames
Authors: Nemitallah Medhat A. , Mansir Ibrahim B. , Haque Md Azazul , Abdelhafez Ahmed , Habib Mohamed A.
Published: June 2022

Effects of adiabatic flame temperature (AFT) on stability, combustion, and emission characteristics of swirl-stabilized premixed oxy-methane flames are investigated numerically in a model gas turbine combustor using large-eddy simulations. The oxy-methane flames are investigated over ranges of equivalence ratio (Φ: 0.342–0.954), oxygen fraction (OF: 35%, 50%, and 65%), and adiabatic flame temperatures (AFT: 2100 K, 2300 K, and 2500 K) at fixed inlet velocity of 5.2 m/s with swirled flow at 55 deg under atmospheric pressure. The results show that the shape and size of the inner recirculation zone (IRZ) dominates the flame shape and flame–flow interactions whatever the operating AFT and OF. Almost identical flame shapes with similar OH distributions are obtained at fixed AFT indicating the dominant role of AFT in controlling flame shape and stability of premixed flames. At low to moderate AFTs, the IRZ spreads downstream and becomes stronger resulting in more flame stability and more uniform axial temperature profiles. Fixing the operating AFT does not result in significant changes in temperature profiles due to the similarity of shape and size of the IRZ when fixing the AFT. Flame core temperature, the thickness of the reaction zone, and vorticity increase with AFT at fixed OF and with OF at fixed AFT. The value of the Damköhler number increases in higher AFT and higher OF. Increasing the AFT from 2100 to 2500 K at OF = 65% resulted in an approximately 2.9 time rise in CO emissions.
Finite-difference time-domain simulations: Verification on head-related transfer functions of a rigid sphere model
Authors: Meyer Julie , Smirnov Michael , Khajeh-Saeed Ali , Hoffmann Pablo F. , Prepeliţă Sebastian T.
Published: June 2022

This paper presents a verification procedure for finite-difference time-domain-simulated head-related transfer functions (HRTFs) from a simplified model of a human head, a sphere. The analytic solution required by the code verification is computed with the multipole reexpansion technique and used to estimate convergence rates. A solution verification process follows in which asymptotic predictions are computed. For the HRTFs considered and employed grids, results show that the convergence rates attain the expected first-order accuracy at lower frequencies, after which scattered estimates are observed. Results also reveal that the asymptotic predictions are accurate up to 10 kHz, after which bias is observed.
Merging Plastics, Microbes, and Enzymes: Highlights from an International Workshop
Authors: Jiménez Diego Javier , Öztürk Başak , Wei Ren , Bugg Timothy D. , Amaya Gomez Carol Viviana , Salcedo Galan Felipe , Castro-Mayorga Jinneth Lorena , Saldarriaga Juan Fernando , Tarazona Natalia Andrea
Published: June 2022

In the Anthropocene, plastic pollution is a worldwide concern that must be tackled from different viewpoints, bringing together different areas of science. Microbial transformation of polymers is a broad-spectrum research topic that has become a keystone in the circular economy of fossil-based and biobased plastics.
Genomic Characterization ofBacillus safensisIsolated from Mine Tailings in Peru and Evaluation of Its Cyanide-Degrading Enzyme CynD
Authors: Justo Arevalo Santiago , Zapata Sifuentes Daniela , Cuba Portocarrero Andrea , Brescia Reátegui Michella , Monge Pimentel Claudia , Farage Martins Layla , Marques Pierry Paulo , Morais Piroupo Carlos , Guerra Santa Cruz Alcides , Quiñones Aguilar Mauro , Shaker Farah Chuck , Setubal João Carlos , da Silva Aline Maria
Published: June 2022

Despite being of environmental concern around the world due to its toxicity, cyanide continues to be used in many important industrial processes. Thus, searching for cyanide bioremediation methods is a matter of societal concern and must be present on the political agenda of all governments.
Long-Term Expanding Porcine Airway Organoids Provide Insights into the Pathogenesis and Innate Immunity of Porcine Respiratory Coronavirus Infection
Authors: Jiang Chengfan , Li Liang , Xue Mei , Zhao Liyuan , Liu Xiang , Wang Wenzhe , Feng Li , Liu Pinghuang
Published: June 2022

Porcine respiratory CoV (PRCoV), a natural mutant of TGEV, shows striking pathogenetic similarities to human respiratory CoV infection and provides an interesting animal model for human respiratory CoVs, including SARS-CoV-2. The lack of anin vitromodel recapitulating the complicated cellularity and structure of the porcine respiratory tract is a major roadblock for the study of PRCoV infection.
The Kinetics of SARS-CoV-2 Antibody Development Is Associated with Clearance of RNAemia
Authors: Wang Chuangqi , Li Yijia , Kaplonek Paulina , Gentili Matteo , Fischinger Stephanie , Bowman Kathryn A. , Sade-Feldman Moshe , Kays Kyle R. , Regan James , Flynn James P. , Goldberg Marcia B. , Hacohen Nir , Filbin Michael R. , Lauffenburger Douglas A. , Alter Galit , Li Jonathan Z.
Published: June 2022

We showed that persistent SARS-CoV-2 RNAemia is an independent predictor of severe COVID-19. We observed that SARS-CoV-2-targeted antibody maturation, specifically Fc-effector functions rather than neutralization, was strongly linked with the ability to rapidly clear viremia.
A Drying-Rewetting Cycle Imposes More Important Shifts on Soil Microbial Communities than Does Reduced Precipitation
Authors: Wang Xiao-Bo , Azarbad Hamed , Leclerc Laura , Dozois Jessica , Mukula Eugenie , Yergeau Étienne
Published: June 2022

Climate change will have a profound effect on the precipitation patterns of global terrestrial ecosystems. Seasonal and interannual uneven distributions of precipitation will lead to increasing frequencies and intensities of extreme drought and rainfall events, which will affect crop productivity and nutrient contents in various agroecosystems.
Clostridium butyricum and Its Derived Extracellular Vesicles Modulate Gut Homeostasis and Ameliorate Acute Experimental Colitis
Authors: Ma Lingyan , Shen Qicheng , Lyu Wentao , lv Lu , Wang Wen , Yu Minjie , Yang Hua , Tao Shiyu , Xiao Yingping
Published: June 2022

This study indicated thatC. butyricumprovided a prevention effect against colitis mice, which involved protection of the intestinal barrier and positively regulating gut microbiota. Furthermore, we confirmed that the gut microbiota and metabolites that were induced byC. butyricumalso contributed to the attenuation of DSS-induced colitis. Importantly,C. butyricum-derived EVs showed an effective impact in alleviating colitis.
Informative priors assess tradeoffs between mark–recapture and telemetry-based fish movement in a large river system
Authors: Hansen Henry H. , Kachman Stephen D. , Pegg Mark A. , Charles Colin , Watkinson Douglas A. , Enders Eva C.
Published: June 2022

Telemetry and mark–recapture provide movement information, but each approach comes with tradeoffs, potentially producing conflicting understandings of fish movement patterns. Using a Bayesian framework that allows exchanging priors from either method may help assess these inconsistencies. We evaluated channel catfish Ictalurus punctatus movements in the Red River of the North and Lake Winnipeg system, which impacts harvest management across different jurisdictions and affects different ecosystems (e.g., lotic and lentic). Channel catfish were tagged with T-bar tags or acoustic transmitters. The resulting movement data were modeled using a Bayesian multi-state Cormack–Jolly–Seber model to estimate survival, movement, and recapture probabilities. Model estimates with uninformative priors showed a greater tendency of downstream movement from the Red River into Lake Winnipeg for the T-bar tags. In contrast, the telemetry method showed fish predominantly stay in the river. However, exchanging increasingly stronger prior information from the alternative method's model revealed that telemetry movement estimates were less sensitive than the T-bar model to informative priors. Using priors from both methods provided a transparent means to assessing tagging approach tradeoffs quantitatively.
This Is Air: The “Nonhealth” Effects of Air Pollution
Authors: Aguilar-Gomez Sandra , Dwyer Holt , Graff Zivin Joshua , Neidell Matthew
Published: June 2022

A robust body of evidence shows that air pollution exposure is detrimental to health outcomes, often measured as deaths and hospitalizations. This literature has focused less on subclinical channels that nonetheless impact behavior, performance, and skills. This article reviews the economic research investigating the causal effects of pollution on nonhealth end points, including labor productivity, cognitive performance, and multiple forms of decision-making. Subclinical effects of pollution can be more challenging to observe than formal health care encounters but may be more pervasive if they affect otherwise healthy people. The wide variety of possible impacts of pollution should be informed by plausible mechanisms and require appropriate hypothesis testing to limit false discovery. Finally, any detected effects of pollution, in both the short and long run, may be dampened by costly efforts to avoid exposure ex ante and remediate its impacts ex post; these costs must be considered for a full welfare analysis.
Reduced Order Models Derived from Perturbation Solutions and Applied to a Lithium Ion Intercalation Electrode
Authors: Verbrugge Mark W. , Baker Daniel R.
Published: June 2022

We derive and implement a new reduced order model (ROM1) based on a perturbation solution. We compare and contrast ROM1, which employs a single-particle model as the leading-order solution and involves the numerical analysis of a single, nonlinear partial differential equation describing diffusion by means of irreversible thermodynamics, wherein chemical-potential gradients are the driving forces for diffusion, with a simpler-to-implement but lower-accuracy perturbation solution, ROM0, which was derived by a similar procedure, and whose leading-order solution is that of dynamic equilibrium for the cell (D. R. Baker and M. W. Verbrugge, J. Electrochem. Soc., 168(2021)050526). ROM0, ROM1, and the full model all utilize the MSMR (multi-site, multi-reaction) formulation, which has been shown to yield accurate representations of the thermodynamics and reaction kinetics of many different electrode materials. We find ROM1 provides an accurate representation of the full model solution for an electric-vehicle cell over reasonable use cases.
Stem cells, cell therapies, and bioengineering in lung biology and disease 2021
Authors: Ikonomou Laertis , Magnusson Mattias , Dries Ruben , Herzog Erica L. , Hynds Robert E. , Borok Zea , Park Jin-Ah , Skolasinski Steven , Burgess Janette K. , Turner Leigh , Mojarad Sarah M. , Mahoney John E. , Lynch Thomas , Lehmann Mareike , Thannickal Victor J. , Hook Jamie L. , Vaughan Andrew E. , Hoffman Evan T. , Weiss Daniel J. , Ryan Amy L.
Published: June 2022

The 9th biennial conference titled “Stem Cells, Cell Therapies, and Bioengineering in Lung Biology and Diseases” was hosted virtually, due to the ongoing COVID-19 pandemic, in collaboration with the University of Vermont Larner College of Medicine, the National Heart, Lung, and Blood Institute, the Alpha-1 Foundation, the Cystic Fibrosis Foundation, and the International Society for Cell & Gene Therapy. The event was held from July 12th through 15th, 2021 with a pre-conference workshop held on July 9th. As in previous years, the objectives remained to review and discuss the status of active research areas involving stem cells (SCs), cellular therapeutics, and bioengineering as they relate to the human lung. Topics included 1) technological advancements in the in situ analysis of lung tissues, 2) new insights into stem cell signaling and plasticity in lung remodeling and regeneration, 3) the impact of extracellular matrix in stem cell regulation and airway engineering in lung regeneration, 4) differentiating and delivering stem cell therapeutics to the lung, 5) regeneration in response to viral infection, and 6) ethical development of cell-based treatments for lung diseases. This selection of topics represents some of the most dynamic and current research areas in lung biology. The virtual workshop included active discussion on state-of-the-art methods relating to the core features of the 2021 conference, including in situ proteomics, lung-on-chip, induced pluripotent stem cell (iPSC)-airway differentiation, and light sheet microscopy. The conference concluded with an open discussion to suggest funding priorities and recommendations for future research directions in basic and translational lung biology.
Dynamic Evaluation and System Coordination Study of Asset Valuation Based on Deep Learning
Authors: Liu Lige , Chen Shenge
Published: June 2022

With the rapid development of artificial intelligence, the information construction of the database plays a very important role in various industries, such as the field of asset appraisal. Therefore, we can use deep learning technology to carry out a dynamic evaluation of asset appraisal, simultaneously adjust, and improve the coordination degree for such system. In this paper, according to asset appraisal theory, we conduct a comprehensive scientific study on asset appraisal about the information construction of the database and the evaluation system, which is conducive to promote the self-improvement and development of the asset appraisal industry in terms of internal control construction. Experimental results show that our method using DL (deep learning) can well accomplish the dynamic evaluation of asset appraisal with competitive performance.
Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues
Authors: Maray Mohammed , Shuja Junaid
Published: June 2022

Cloud and mobile edge computing (MEC) provides a wide range of computing services for mobile applications. In particular, mobile edge computing enables a computing and storage infrastructure provisioned closely to the end-users at the edge of a cellular network. The small base stations are deployed to establish a mobile edge network that can be coined with cloud infrastructure. A large number of enterprises and individuals rely on services offered by mobile edge and clouds to meet their computational and storage demands. Based on user behavior and demand, the computational tasks are first offloaded from mobile users to the mobile edge network and then executed at one or several specific base stations in the mobile edge network. The MEC architecture has the capability to handle a large number of devices that in turn generate high volumes of traffic. In this work, we first provide a holistic overview of MCC/MEC technology that includes the background and evolution of remote computation technologies. Then, the main part of this paper surveys up-to-date research on the concepts of offloading mechanisms, offloading granularities, and computational offloading techniques. Furthermore, we discuss the offloading mechanism in the static and dynamic environment along with optimization techniques. We further discuss the challenges and potential future directions for MEC research.
Downregulation of PTCD1 in Bladder Urothelial Carcinoma Predicts Poor Prognosis and Levels of Immune Infiltration
Authors: Zhou Zhongbao , Zhou Yongjian , Zhou Xin , Huang Yongjin , Cui Yuanshan , Zhang Yong
Published: June 2022

Pentatricopeptide repeat domain 1 (PTCD1) was reported to regulate mitochondrial metabolism and oxidative phosphorylation. However, the effect and mechanism of PTCD1 in the development of bladder urothelial carcinoma (BLCA) remain unclear. The databases from The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) were used to analyze the expression changes, clinical features, and prognostic values of PTCD1. A nomogram was built to predict the prognostic outcomes of BLCA cases. The potential genes interacting with PTCD1 were explored by Weighted Gene Coexpression Network Analysis (WGCNA). The estimation of associations between PTCD1 and tumor mutations, tumor immunities, and m6A methylations was performed. The study found that the gradual decrease of PTCD1 expression was observed with the increase of stage and grade. Low PTCD1 expression was greatly correlated with higher pathological stage, N stage, and poor prognosis in TCGA cohorts; interestingly, low-grade BLCA cases all exhibited high expression of PTCD1. HPA database analysis implied that the expression of PTCD1 protein in BLCA was lower than that in normal bladder tissue, and the protein expression of PTCD1 in high-grade BLCA was lower than that in low-grade BLCA. Multivariate Cox regression analysis indicated that PTCD1 may serve as an independent factor influencing prognosis of BLCA. Mechanistically, PTCD1 played a regulatory role in BLCA progression through multiple tumor-related pathways containing PI3K-Akt signaling, ECM-receptor interaction, oxidative phosphorylation, and extracellular matrix organization. WGCNA reported that PTCD1 had a strong positive correlation with POLR2J, ZNHT1, ATP5MF, PDAP1, BUD31, and COPS6. Besides, the mRNA expression of PTCD1 was negatively associated with immune cells’ infiltrations, immune functions, and checkpoints, especially with some m6A methylation regulators in BLCA. In sum, downregulation of PTCD1 expression may be involved in the development of BLCA and remarkably correlated with poor prognosis. Meantime, it showed an influence in immune cell infiltration and may serve as an agreeable prognostic indicator in BLCA.
Internet of Things-Based Intelligent Ontology Model for Safety Purpose Using Wireless Networks
Authors: Kumar Shakya Harish , Sundar R. , Kushwaha Ajay , Thakur Rakhi , Rai Anurag S. D. , Reddy Praveen Kumar , Sivasubramanian M. , Jaikumar R. , Venkataramanan V. , Chandragandhi S. , Abera Worku
Published: June 2022

Intelligent transportation systems (ITS) are a newer trend in technology that improve the safety and performance in transportation systems. The exchange of information is considered as one of the key elements for ITS since it involves communication between vehicles and other components of ITS on road. On other hand, the data collections via Internet of Things (IoT) sensors play a major role for data collection and transmission between the vehicles and road segments in ITS. The data collection provides the current traffic and weather conditions that is considered necessary for driving in traffic. However, energy savings is one of the predominant objectives of electric vehicle (EV) while it is connected with ITS. In this research, we propose an ontology-based architecture for EVs using the data collected from IoT sensor network, which is intended to improve the overall driving experience. The system uses IoT sensor data to execute a range of activities in order to ensure the driver safety and comfort while on the road. The simulation is conducted on an Eclipse SUMO simulator, and the performance is reported. The results of simulation shows that the proposed intelligent model on making decisions along with weather and traffic conditions is reported efficient than existing ITS models.
Efficacy and Safety of Electroacupuncture in the Treatment of Cerebral Infarction: Systematic Review and Meta-Analysis
Authors: Wang Lan Xiang , Li Wei Hong , He Fang
Published: June 2022

Purpose. The goal of this study was to see if electroacupuncture was effective and safe in the management of cerebral infarction. PubMed, Embase, Cochrane Library, and Web of Science were used to conduct a comprehensive literature survey. Methods. Basic features of 7 studies were identified using the searching strategy. The investigation was found in PubMed, Embase, and Web of Science, with the most recent search being in March 2022. “Electroacupuncture,” “cerebral infarction,” and their permutations were among the MeSH terms and free words used. As literature, two reviewers independently used a standardized form to gather pertinent data from qualifying research. Results. 157 literatures were identified and evaluated. Electroacupuncture improved the BI score in individuals with cerebral infarction (

mean
 
difference
=
0.10

, 95 percent CI: 0.00-0.20,

p
=
0.04

). Electroacupuncture enhanced BI score in individuals with cerebral infarction (

mean
 
difference
=
0.10

, 95 percent CI: 0.00-0.20,

p
=
0.04

). The effects of electroacupuncture increased Fugl-Meyer index in patients with cerebral infarction (

mean
 
difference
=
25.92

, 95% CI: 25.28-26.56,

p
<
0.00001

). Electroacupuncture effects decreased CSS in patients with cerebral infarction in the experiment group (

mean
 
difference
=
−
2.10

, 95% CI: -2.53–-1.67,

p
<
0.0001

). Electroacupuncture also reduced CSS individuals with cerebral infarction in the control group; however, there was no statistically significant (

risk
 
difference
=
0.06

, 95 percent CI: 0.02-0.13,

p
=
0.12

). Conclusion. This study demonstrated that electroacupuncture helped decreased CSS in patients with cerebral infarction.
Effects of Nutritious Meal Combined with Online Publicity and Education on Postoperative Nutrition and Psychological State in Patients with Low Rectal Cancer After Colostomy
Authors: Qu Lijuan , Zhou Mei , Yu Yi , Li Kaili
Published: June 2022

Objective. To investigate the effects of nutritious meal combined with online publicity and education on postoperative nutrition and psychological state in patients with low rectal cancer after colostomy. Methods. The clinic data of 88 patients with low rectal cancer who received the colostomy in our hospital (August 2020-August 2021) were retrospectively reviewed. Among them, 44 patients received nutritious meal combined with online publicity and education and they made up the study group, and the others were given conventional care and they made up the reference group. The nutrition indicators, scores of the World Health Organization Quality of Life (WHOQOL)-BREF, and other materials of the patients in the two groups were compared. Results. After intervention, the various nutrition indicators, immune indexes, and WHOQOL-BREF score of the study group were all prominently higher than those of the reference group (

P
<
0.001

). Compared with the reference group, the study group after intervention achieved markedly lower self-rating anxiety scale (SAS) score and self-rating depression scale (SDS) score (

P
<
0.001

) and obviously lower total incidence of complications (

P
<
0.05

). Conclusion. Combining nutritious meal with online publicity and education can effectively improve the postoperative nutrition and immune function of the patients with low rectal cancer after colostomy, and this intervention contributes to releasing the patients’ adverse emotions. Further study helps to provide these patients with favorable solutions.
Sales Forecast of Marketing Brand Based on BP Neural Network Model
Authors: Feng Wei
Published: June 2022

With the advancement of globalization, the market competition among enterprises has become increasingly intense. To win a good market, an enterprise must understand and grasp the laws of the market economy and accordingly predict the future of the market. Efficient market estimates are based on a careful study of various types of market data. Therefore, enterprises must engage in preliminary research and data collection, based on a complete data system, and ensure the accuracy of vision predictions by developing a scientific market vision. Only by ensuring correct estimates can companies develop a right business plan and ultimately capture the market. More traditional sales forecasting methods generally only involve some details of sales, not accounting for relatively complex interactions among those factors (price, consumer income, etc.) that affect demand, and as a result, the models built are relatively simple. Artificial neural networks have excellent capabilities for infinite mapping and passive learning. This affects the requirements among the various factors, as well as the more complex relationships between them. In terms of weights, it is safe for neural networks. Therefore, BP neural network technology is used by most people to predict the number of sales, and a more coherent sales forecast method has been established for this purpose. Predicting sales targets is a very complex process, as the experimental results show. The prediction accuracy of this model is much higher than that of other common prediction methods. Its prediction accuracy is more than 30% higher than that of conventional methods, and it also has better comprehensive performance. This has a certain application value for sales forecasting work.
Harris Hawk Optimization: A Survey onVariants and Applications
Authors: Tripathy B. K. , Reddy Maddikunta Praveen Kumar , Pham Quoc-Viet , Gadekallu Thippa Reddy , Dev Kapal , Pandya Sharnil , ElHalawany Basem M.
Published: June 2022

In this review, we intend to present a complete literature survey on the conception and variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along with an updated set of applications in well-established works. For this purpose, we first present an overview of HHO, including its logic of equations and mathematical model. Next, we focus on reviewing different variants of HHO from the available well-established literature. To provide readers a deep vision and foster the application of the HHO, we review the state-of-the-art improvements of HHO, focusing mainly on fuzzy HHO and a new intuitionistic fuzzy HHO algorithm. We also review the applications of HHO in enhancing machine learning operations and in tackling engineering optimization problems. This survey can cover different aspects of HHO and its future applications to provide a basis for future research in the development of swarm intelligence paths and the use of HHO for real-world problems.
Efficacy of Fenestration Decompression for the Treatment of Oral and Maxillofacial Cysts
Authors: Li Zhangyi
Published: June 2022

Background. Surgery is the mainstay of treatment for oral and maxillofacial cysts. Compared with open surgery that will bring more harm to patients, fenestration decompression, as a surgical method with good curative effects and little damage, has received increasing attention in the treatment of oral and maxillofacial cysts. Methods. The clinical data of 135 patients with oral and maxillofacial cysts visited the Fifth Central Hospital of Tianjin between June 2019 and September 2021 were collected for retrospective analysis. Patients were assigned to two groups based on the treatment plan implemented: the control group (

n
=
64

) treated with curettage of cysts and the observation group (

n
=
71

) with fenestration decompression. Therapeutic efficacy parameters and surgical indicators were detected. Additionally, postoperative cyst, pain, complication rate, and recurrence, as well as life quality six months after treatment, were evaluated and compared. Results. In comparison with the control group, the observation group was observed to have a higher total effective rate, less operation time, shorter hospital stays, and less intraoperative bleeding (

P
<
0.05

). In addition, the shrinkage rate, shrinkage volume, and postoperative density of the cyst cavity were higher in the observation group than in the control group (

P
<
0.05

). The observation group also outperformed the control group with lower postoperative VAS score, complication rate, and half-year recurrence rate (

P
<
0.05

). Furthermore, significantly better life quality was determined in the observation group after half a year of treatment (

P
<
0.05

). Conclusion. Fenestration decompression is highly effective in treating oral and maxillofacial cysts, contributing to fewer complications, markedly relieved symptoms, shorter hospitalization time, well-preserved facial nerves, and low recurrence rate in the later period, which is worthy of clinical promotion.
Image Segmentation-Based Cervical Spine MRI Images to Evaluate the Treatment of Patients with Chronic Pain
Authors: Guo Qingqing , Li Rongchun , Zhou Waiping , Li Xia
Published: June 2022

The objective of this research was to investigate the application effect of cervical spine magnetic resonance imaging (MRI) image segmentation algorithm guidance in the treatment of chronic pain with cervical epidural puncture. A total of 72 patients with chronic pain were selected and divided into a cervical spine MRI image-guided group (group A) and a blind puncture group with traditional experience (group B). The results showed that the puncture time of group A was

9.9
±
8.2

(min), while that of group B was

15.2
±
8.9

(min), so the puncture time of patients in group A was significantly shorter than that of group B (

P
<
0.05

). The incidences of pain at the puncture site of patients in group A and group B were 6% and 10%, respectively. The incidence of pain at the puncture site in group A was significantly lower than that in group B (

P
<
0.05

). The success rate of the first puncture in group A was 78%, and that in group B was 54%. The success rate of the first puncture in group A was significantly higher than that in group B (

P
<
0.05

). The complication rate of group A was 22.22%, and that of group B was 80.56%. The incidence of complications in group A was significantly lower than that in group B (

P
<
0.05

). In addition, there was no significant difference in the puncture depth between the two groups (

P
>
0.05

). In summary, the guidance of cervical spine MRI image segmentation algorithm can reduce the time and times of puncture and improve the success rate of puncture, thereby reducing the incidence of postoperative complications.
Examination of Combined Treatment of Ginsenoside Rg3 and 5-Fluorouracil in Lung Adenocarcinoma Cells
Authors: Shan Kuizhong , Deng Yujiang , Du Zhiquan , Yue Peiyu , Yang Sufang
Published: June 2022

Chemotherapy is a commonly used strategy for advanced lung cancer patients. However, its clinical application is restrained due to its toxicity and drug resistance. Ginsenoside Rg3 (Rg3) has a strong anticancer influence on colon cancer, breast cancer, lung cancer, and other malignant tumors. However, it is still unclear whether Rg3 can cooperate with 5-FU to inhibit the tumor growth and angiogenesis of lung adenocarcinoma (LUAD). This study examined the combined treatment of Rg3 and 5-FU in LUAD. It was revealed that the combined treatment could notably enhance the suppression on proliferative, invasive, and migratory abilities and angiogenesis in LUAD cells A549 and SPC-A-1. On the other hand, we also discovered that Rg3 or 5-FU could suppress the activity of the NF-κB signaling pathway and downregulate VEGFA expression in LUAD cells. Collectively, this study suggested that Rg3 combined chemotherapy may perform a more powerful drug efficiency in LUAD cells.
Prediction Model between Serum Vitamin D and Neurological Deficit in Cerebral Infarction Patients Based on Machine Learning
Authors: Zhang Hailiu , Yang Guotao , Dong Aiqin
Published: June 2022

Objective. Vitamin D is associated with neurological deficits in patients with cerebral infarction. This study uses machine learning to evaluate the prediction model’s efficacy of the correlation between vitamin D and neurological deficit in patients with cerebral infarction. Methods. A total of 200 patients with cerebral infarction admitted to the Department of Neurology of our hospital from July 2018 to June 2019 were selected. The patients were randomly divided into a training set (

n
=
140

) and a test set (

n
=
60

) in a 7 : 3 ratio. The prediction model is constructed from the training set’s data, and the model’s prediction effect was evaluated by test set data. The area under the receiver operator characteristic curve was used to assess the prediction efficiency of models. Results. In the training set, the area under the curve (AUC) of the logistic regression model and XGBoost algorithm model was 0.727 (95% CI: 0.601~0.854) and 0.818 (95% CI: 0.734~0.934), respectively. While in the test set, the AUC of the logistic regression model and XGBoost algorithm model was 0.761 (95% CI: 0.640~0.882) and 0.786 (95% CI: 0.670~0.902), respectively. Conclusion. The prediction model of the correlation between vitamin D and neurological deficit in patients with cerebral infarction based on machine learning has a good prediction efficiency.
Adoption and Safety Evaluation of Comfortable Nursing by Mobile Internet of Things in Pediatric Outpatient Sedation
Authors: Xiao Qiuying , Wu Bingqing , Wu Wei , Wang Rui
Published: June 2022

The aim of study was to explore the application effect and safety of comfortable nursing based on optimized mobile Internet of Things (MIoT) in the clinical sedation and diagnosis of mycoplasma pneumoniae pneumonia (MPP) in children. A total of 70 children with MPP admitted to the respiratory clinic of hospital were randomly selected and divided into a control group (comfortable nursing mode) and an observation group (comfortable nursing mode based on optimized MIoT), with 35 cases in each. The nursing effects and safety were compared between groups. The results showed that the node jitter rate, delivery success rate, and congestion times of the multilayered sensing algorithm were better than those of the mobile relay area segmentation algorithm and the wedge merge-energy hole elimination area segmentation algorithm. The CD-RISC resilience score of the observation group ((

94.72
±
1.58

) points), the proportion of children with Frankl-3 and 4 points (90%), and the comfort level ((

95.01
±
5.68

) points) were higher than those of the control group ((

64.12
±
1.62

) points, (33.33%), and (

55.23
±
6.18

) points) (

P
<
0.05

). After treatment, the proportion of children with HRCT image lesions in the observation group was lower than that in the control group (

P
<
0.05

). After treatment, the FEV1 ((

85.71
±
5.23

) % vs. (

68.26
±
5.90

) %) and FEV1/FVC ((

74.22
±
2.12

) % vs (

64.38
±
2.34

) %) of the observation group were significantly better than those of the control group (

P
<
0.05

). The results showed that the incidence of adverse reactions in the observation group (14%) was significantly lower than that in the control group (46%) (

P
<
0.05

). MIoT-assisted comfort nursing based on multilayer perception region segmentation algorithm can more effectively relieve the emotions of children in MPP outpatient department during sedation and diagnosis and treatment, improve the therapeutic effect and safety, and is worthy of clinical promotion.
Evaluation of Traumatic Subdural Hematoma Volume by Using Image Segmentation Assessment Based on Deep Learning
Authors: Chen Dan , Bian Lin , He Hao-Yuan , Li Ya-Dong , Ma Chao , Mao Lian-Gang
Published: June 2022

Rapid and accurate evaluations of hematoma volume can guide the treatment of traumatic subdural hematoma. We aim to explore the consistency between the measurement results of traumatic subdural hematoma (TSDH) using a deep learn-based image segmentation algorithm. A retrospective study was conducted on 90 CT images of patients diagnosed with TSDH in our hospital from January 2019 to January 2022. All image data were measured by manual segmentation, convolutional neural networks (CNN) algorithm segmentation, and

A
B
C
/
2

volume formula. With manual segmentation as the “golden standard,” a consistency test was carried out with CNN algorithm segmentation and

A
B
C
/
2

volume formula, respectively. The percentage error of CNN algorithm segmentation is less than

A
B
C
/
2

volume formula. There is no significant difference between CNN algorithm segmentation and manual segmentation (

P
>
0.05

). The area under curve of the

A
B
C
/
2

volume formula, manual segmentation, and CNN algorithm segmentation is 0.811 (95% CI: 0.717~0.905), 0.840 (95% CI: 0.753~0.928), and 0.832 (95% CI: 0.742~0.922), respectively. From our results, the algorithm based on CNN has a good efficiency in segmentation and accurate calculation of TSDH hematoma volume.
A Multiscenario Intelligent QoS Routing Algorithm for Vehicle Network
Authors: Ye Shitong , Liu Shaojiang , Wang Feng
Published: June 2022

Vehicular ad hoc network (VANET) is a key part of intelligent transportation system. VANET technology is very important for realizing vehicle-to-vehicle communication, remote control of unmanned vehicles, and early warning reception of road condition information ahead of time when external networks such as the Internet are limited. Aiming at the problems of uncertainty in vehicle mobility, uneven distribution of traffic density in road sections, and uncertainty in the road scene where the vehicle is located in VANET, a multiscenario intelligent QoS routing algorithm (MISR) for vehicle network is proposed. The algorithm analyzes a variety of vehicle network scenarios and discusses the routing methods used in scenarios with/without roadside auxiliary units and vehicle uniform acceleration limited/unrestricted, so that the vehicle network can ensure that the communication link is not interrupted as much as possible. At the same time, QoS performance criteria such as data transmission rate, bit error rate, and delay time are considered. For complex scenes with variable vehicle speeds, this paper introduces a deep reinforcement learning method to intelligently select routing nodes for vehicle networks.
The Association of Long-Term Use of Proton Pump Inhibitors and Histamine H2 Receptor Antagonists with Clinical Complications in Patients with Severe Sepsis
Authors: Gao Jiamin , Ma Senlin , Xu Siyuan , Chen Mingquan
Published: June 2022

Objective. Proton pump inhibitors (PPIs) are commonly used to treat gastric acidity, and their frequent use may trigger various malfunctioning, such as cardiac, renal, and liver function failure. In the current study, we evaluated the association between the excessive use of the PPIs and the clinical complications of intensive care unit (ICU) septic patients. Methods. A total of 208188 patients were analyzed from 2016 to 2017 through the China Critical Care Sepsis Trial (CCCST) database. The characteristics of the study group and outcome of events from the PPI- and H2 blocker-using groups were reported. To get unbiased results, the data from the target trials were randomly assigned for PPI and H2 blocker groups. Result. The data revealed 43.34 excess deaths (95% confidence intensive (CI) 25.12 to 62.02) per 1000 patients in patients extensively consuming PPI drugs. The sepsis with chronic kidney disease attributed to deaths 21.36; 95% CI (9.34 to 23.23). However, comorbidities, including circulatory diseases (16.34; 95% CI 5.78 to 23.45), nervous system (2.08; 95% CI 1.56 to 6.34), mental disorders (1.87; 95% CI 1.65 to 2.95), genitourinary system (5.23; 95% CI 3.69 to 8.89), and infectious and parasitic disease (4.17; 95% CI 1.44 to 7.49), were also reported. Extensive use of the PPIs and H2 blockers was associated with esophageal adenocarcinoma, Barrett’s esophagus, neoplasms, and GI cancers. Conclusion. We conclude that the excessive use of PPI in sepsis patients triggers chronic kidney disease which has a higher clinical complication rate among others.
Protective Effects and Molecular Mechanism of Total Flavonoids from Lycium Barbarum Leaves on Photoaged Human Dermal Fibroblasts
Authors: Song Fei , Wang Lihua , Mu Jing , Ma Huisheng
Published: June 2022

Objective. To investigate the effects and corresponding mechanisms of total flavonoids (TFL) from Lycium barbarum leaves on photoaged human dermal fibroblasts (HDFs). Methods. Crude TFL was extracted with 70% ethanol, and a Rutin standard curve was drawn using the sodium nitrite-aluminum nitrate-sodium hydroxide colorimetry method to calculate its yield and mass concentration. After that, the photoaging HDFs model was established by UVA combined with 8-MOP. CCK-8 was performed to assess the influence of TFL on the proliferation of HDFs and photoaging HDFs. β-galactosidase (SA-β-gal) staining and activity assays were performed to evaluate the activity of SA-β-gal and the rate of SA-β-gal-positive cells in HDFs cells. The level of skin ECM proteins and oxidative stress-related substances in HDFs cells of each group was determined by ELISA and biochemical detection, respectively. Apoptosis of HDFs in each group was assessed by flow cytometry. The expressions of MAPK signaling pathway-related proteins in HDFs were detected by western blot. Results. The yield rate of TFL extracted by 70% ethanol was 41.9%, and its purity rate was 34.6%. TFL at 25, 50, and 100 μg/mL was able to greatly promote the proliferation of HDFs. A photoaged HDFs model was successfully constructed by combining UVA irradiation at 9 J/cm2 and 8-MOP at 50 mg/L. TFL treatment could significantly inhibit apoptosis, SA-β-gal-positive cell staining rate, SA-β-gal activity, lactate dehydrogenase (LDH) leakage, and malondialdehyde (MDA) content in photoaged HDFs. Further, TFL increased the proliferative activity, superoxide dismutase (SOD) activity, catalase (CAT) activity, type I collagen (Col I), hydroxyproline (HYP), and hyaluronic acid (HA) level of photoaged HDFs in a dose-dependent manner. Additional experiments suggested that TFL played a protective role by downregulating MAPK signaling pathway activity in photoaged HDFs cells. Conclusion. TFL could inhibit oxidative stress and apoptosis, promote cell proliferation and the level of ECM-related component proteins, and participate in antiphotoaging in a concentration-dependent manner. The protective role of TFL in photoaged HDFs might be related to its inhibition of MAPK signaling pathways.
Role of ErbB1 in the Underlying Mechanism of Lapatinib‐Induced Diarrhoea: A Review
Authors: Raja Sharin Raja Nur Firzanah Syaza , Khan Jesmine , Ibahim Mohamad Johari , Muhamad Mudiana , Bowen Joanne , Wan Mohamad Zain Wan Nor I’zzah
Published: June 2022

Lapatinib, an orally administered small‐molecule tyrosine kinase inhibitor (SM‐TKI), is an effective treatment for ErbB2‐positive breast cancer. However, its efficacy as one of the targeted cancer therapies has been hampered by several adverse effects, especially gastrointestinal toxicity, commonly manifested as diarrhoea. Although it can be generally tolerated, diarrhoea is reported as the most common and most impactful on a patient’s quality of life and associated with treatment interruption. Severe diarrhoea can result in malabsorption, leading to dehydration, fatigue, and even death. ErbB1 is an epidermal growth factor profoundly expressed in normal gut epithelium while lapatinib is a dual ErbB1/ErbB2 tyrosine kinase inhibitor. Thus, ErbB1 inhibition by lapatinib may affect gut homeostasis leading to diarrhoea. Nevertheless, the underlying mechanisms remain unclear. This review article provides evidence of the possible mechanisms of lapatinib‐induced diarrhoea that may be related to/or modulated by ErbB1. Insight regarding the involvement of ErbB1 in the pathophysiological changes such as inflammation and intestinal permeability as the underlying cause of diarrhoea is covered in this article.
Concrete Interface Feature Extraction and Stability Analysis Based on PCA Model
Authors: Zhao Haidong , Ru Nan , Yin Daibiao , Zheng Yiwei , Yang Haoyu , Sheng Xingyue
Published: June 2022

With the rise of concrete pumping construction technology, high-mobility concrete has been more and more widely used. However, high fluidity concrete is prepared with high sand ratio and small stones, which weakens the volume stability of aggregate as a skeleton. Therefore, instability often appears in the practical application of large concrete. At present, the research on the stability of concrete interface feature extraction is still relatively scarce. In this paper, through a large number of experiments, the law of the main performance of concrete is systematically studied, and the characteristics of concrete interface are extracted using the principal component analysis (PCA) model. On this basis, the influence of different factors on the stability of concrete is studied, especially the compressive strength, volume stability, and durability of concrete. The experimental results will have a good reference value and far-reaching significance for improving the application status of high fluidity concrete.