bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Application of Meticulous Nursing Scheduling Management Based on Data-Driven Intelligent Optimization Technology
Authors: Zhai YanPing , Li Run , Yan ZhiLi
Published: September 2022

The management of nursing scheduling in healthcare facilities have faced new challenges during the COVID-19 pandemic. With the rapid development of big data and artificial intelligence technology, data-driven intelligent medical services are what we need to study nowadays. This paper not only proposes reasonable solutions in areas such as refined nursing scheduling by using these scientific technologies to quickly realize the allocation of human resources in hospitals. It also accelerates the development of hospital informatization construction through computer technology, establishing a scientific and intelligent medical platform that meets the needs of users. Aiming at the problem of nursing scheduling in medical service data research, this paper proposes a complete plan by analyzing the development of the medical platform at this stage. Firstly, established an intelligent medical service platform, and studied the medical management from the perspective of data. Then, analyze the intelligent medical platform data by utilizing optimized algorithms, through reasonable analysis under various constraints, to get the basic nursing scheduling plan that meets the needs of medical institutions. Finally, considering the actual situation of emergency medical treatment, the decision classification model is introduced under the basic scheme to further screen out the optimal management scheme of modern medical treatment.
4,7-Didehydro-neophysalin B Protects Rat Lung Epithelial Cells against Hydrogen Peroxide-Induced Oxidative Damage through Nrf2-Mediated Signaling Pathway
Authors: Zhong Qiu , Sun Yaogui , Khan Ajab , Guo Jianhua , Wang Zhirui , Sun Na , Li Hongquan
Published: September 2022

The administration of 4,7-didehydro-neophysalin B is expected to be a promising strategy for mitigating oxidative stress in respiratory diseases. This study was aimed at investigating the efficacy of 4,7-didehydro-neophysalin B for apoptosis resistance of rat lung epithelial cells (RLE-6TN) to oxidative stress and evaluating its underlying mechanism of action. The RLE-6TN cells treated with hydrogen peroxide (H2O2) were divided into five groups, and 4,7-didehydro-neophysalin B was administered into it. To evaluate its mechanism of action, the expression of oxidative stress and apoptotic proteins was investigated. 4,7-Didehydro-neophysalin B significantly inhibited H2O2-induced RLE-6TN cell damage. It also activated the Nrf2 signaling pathway which was evident from the increased transcription of antioxidant responsive of KLF9, NQO1, Keap-1, and HO-1. Nrf2 was found to be a potential target of 4,7-didehydro-neophysalin B. The protein levels of Bcl-2 and Bcl-xL were increased while Bax and p53 were decreased significantly. Flow cytometry showed that 4,7-didehydro-neophysalin B protected RLE-6TN cells from apoptosis and has improved the oxidative damage. This study provided a promising evidence that 4,7-didehydro-neophysalin B can be a therapeutic option for oxidative stress in respiratory diseases.
The Relationship between Angiotensin–Neprilysin Treatment, Echocardiographic Parameters, and NT-proBNP Levels in HFpEF Patients with Acute Decompensated Heart Failure
Authors: Zhang Xiaoliang , Yang Song , Xu Zhonglin
Published: September 2022

Background. The valsartan-sacubitril therapy improved the outcomes of patients with acute decompensated heart failure (ADHF) of a reduced ejection fraction (HFrEF). In ADHF patients with preserved ejection fraction (HFpEF), it is not yet clear whether the same treatment regimen may be safely used to treat ADHF. Methods. For this study, HFpEF patients hospitalized due to ADHF were enrolled. Following hemodynamic stabilization, patients were randomized into two groups that were treated with enalapril or sacubitril-valsartan. In this trial, the primary efficacy outcomes were changes in echocardiographic parameters and NT-proBNP levels from baseline to 8 weeks treatment. Results. ARNI treatment resulted in a significant decrease in NT-proBNP levels and an increase in LVEF in patients with HFpEF. However, HFpEF patients that underwent ARNI treatment achieved better outcomes than did patients that underwent ACEI treatment. Conclusion. Sacubitril-valsartan treatment, which lowered NT-proBNP levels and improved cardiac function, was more effective in HFpEF patients with acute decompensated heart failure than enalapril.
L‐Lysine Ameliorates Diabetic Nephropathy in Rats with Streptozotocin‐Induced Diabetes Mellitus
Authors: Jozi Faezeh , Kheiripour Nejat , Taheri Maryam Akhavan , Ardjmand Abolfazl , Ghavipanjeh Gholamreza , Nasehi Zahra , Shahaboddin Mohammad Esmaeil
Published: September 2022

Introduction. Diabetic nephropathy is one of the leading causes of end‐stage renal disease worldwide. Uncontrolled hyperglycemia and subsequent production of glycation end‐products activate the paths which lead to diabetic nephropathy. The aim of this study was to assess the effects of L‐lysine on antioxidant capacity, biochemical factors, kidney function, HSP70 level, and the expression of the TGFβ, VEGF, and RAGE genes in rats with streptozocin‐induced diabetes mellitus. Methods. Thirty‐two male Wistar rats were randomly allocated to four eight‐rat groups, namely, a healthy group, a diabetic group treated with vehicle (DM + vehicle), a diabetic group treated with L‐lysine (DM + Lys), and a healthy group treated with L‐lysine (healthy + Lys). Rats in the DM + Lys and the healthy + Lys groups were treated with L‐lysine 0.15%. The levels of fasting blood glucose, insulin, HbA1C, advanced glycation end‐products (AGEs), lipid profile, serum creatinine, blood urea nitrogen, glomerular filtration rate, urine microalbumin, oxidative stress parameters, kidney histology and morphology, and TGFβ, VEGF, and RAGE gene expressions were assessed. Findings. An eight‐week treatment with L‐lysine significantly reduced the levels of fasting blood glucose, AGEs, kidney function parameters, oxidative stress parameters, lipid profile, and the TGFβ, VEGF, and RAGE gene expression and significantly increased the levels of serum insulin and tissue HSP70. Conclusion. Treatment with L‐lysine seems to slow down the progression of diabetic nephropathy.
Investigation of Mechanical Properties of FDM-Processed Acacia concinna–Filled Polylactic Acid Filament
Authors: Muthu Natarajan S. , Senthil S. , Narayanasamy P.
Published: September 2022

In this work, an Acacia concinna filler was blended in a polylactic acid matrix using a single-screw extruder. A composite filament material made from an extruder was used to fabricate polylactic acid/25 wt% A. concinna (PLA/25 wt% AC) composites via a fused deposition modeling (FDM) technique. Composites were fabricated by varying layer thickness, infill density, and printing speed based on Taguchi L9 experimental design. Tensile, flexural, and impact tests were conducted on the printed composite samples as per the ASTM standards. The significance of factors impacting the mechanical properties was determined using analysis of variance. To estimate the strength of PLA/AC composites, mathematical models were developed. In addition, the fractured specimen was examined using scanning electron microscopy to determine the mechanism of fracture. Both the layer height and the infill percentage exhibited a positive influence on strength, which suggests that the layer height or the infill percentage, or both, will increase the material’s strength. The printing speed had a negative influence on the strength, which indicates that the strength decreases as the printing speed increases. The findings suggested that PLA/AC composites could be used to fabricate high-strength, lightweight components using FDM.
[Retracted] Zonisamide’s Efficacy and Safety on Parkinson’s Disease and Dementia with Lewy Bodies: A Meta‐Analysis and Systematic Review
Authors: Kong Linghui , Xi Jiaqiu , Jiang Zhenyuan , Yu Xiaowen , Liu Hailiang , Wang Zhonglin
Published: September 2022

Objective. Clinical data has recently shown an association between Parkinson’s disease (PD), Dementia with Lewy bodies (DLB), and zonisamide. The purpose of this study was to thoroughly evaluate the efficacy and safety of zonisamide in PD and DLB. Methods.Pubmed, the Cochrane Library, Web of Science, and Embase databases were searched for all randomized clinical trials (RCTS) on the role of zonisamide in PD and DLB that were completed by April 18, 2022. UPDRS II (off) total score, UPDRS III total score, Daily “off” time, and UPDRS Part IV, Nos. 32, 33, and 34 were used as clinical efficacy endpoints. Adverse events reported in the RCTs will be considered in the final safety analysis. To better understand the effect of zonisamide on the efficacy and safety of PD and DLB, the UPDRS III total score and the six overlapping adverse events were examined in subgroups. Either a fixed effects model analysis (OR) or a random effects model analysis (MD) is used to figure out the mean difference (MD) and the relative risk. Results. Seven articles involving 1749 patients (916 PD and 833 DLB) were included in this study. Compared to the control group, zonisamide could significantly reduce the UPDRS III total score in patients with PD and DLB (WMD‐2.27 [95% CI: ‐3.06, ‐1.48], p < 0.0001). For patients with PD, compared to the control group, zonisamide could significantly reduce the UPDRS II (off) total score (WMD‐0.81 [95% CI: ‐1.36, ‐0.26], p = 0.004), daily “off” time (WMD‐0.67 [95% CI: ‐1.10, 0.24], p = 0.002), and UPDRS part IV, No. 32 worsen (OR‐3.48 [95% CI: 1.20, 10.10], p = 0.02). In terms of safety, compared with the control group, for patients with DLB, zonisamide could significantly increase the incidence of contusion (OR‐0.60 [95% CI: 0.38, 0.96], p = 0.03) and may increase the probability of reduced appetite (OR‐3.13 [95% CI: 1.61, 6.08], p = 0.0008). And for patients with PD, zonisamide may increase the probability of somnolence (OR‐2.17 [95% CI: 1.25, 3.76], p = 0.006). Conclusions. For the analysis of the current study results, our results show that zonisamide could improve the motor function in patients with PD and DLB and improve the activities of daily living (off) and wearing off and decrease the duration of dyskinesia in patients with PD. In terms of safety, the use of zonisamide significantly increases the probability of contusion in patients with DLB and may increase the probability of reduced appetite in patients with DLB and somnolence in patients with PD. Zonisamide appears to be a new treatment option for patients with PD and DLB. However, the effectiveness and safety of zonisamide in the treatment of PD and DLB need to be further investigated.
Analysis of Consumer Behavior Data Based on Deep Neural Network Model
Authors: Yuan Shijiao
Published: September 2022

This paper divides the research modes of consumer purchase behavior characteristics into three categories: experience-driven mode, theory-driven mode, and data-driven mode. An analysis algorithm based on customer consumption behavior is proposed, and the idea of combining customer consumption behavior factors such as satisfaction and loyalty is proposed. Through comparison, it is pointed out that the data-driven model is most suitable for analyzing the characteristics of online consumers’ purchasing behavior. Using the decision support of knowledge base, different service schemes for customers with different evaluation degrees are realized. In order to improve the accuracy of sample classification and maximize the output function, genetic algorithm is used to optimize the samples. A deep neural network structure algorithm is proposed to classify customer transaction data samples. In this algorithm, the sheep nodes are not fixed, but the number of hidden layers and unit nodes of the neural network are dynamically determined according to the sample training. The research excavates various kinds of valuable information such as consumer preferences and consumption structure from the huge consumption data of consumers. It is not only helpful for enterprises to analyze consumers’ consumption behavior and organize production but also helpful for enterprises to realize the concept of personalization.
Study on Properties of Magnesium Oxychloride Cement Solidified Soil
Authors: Wang Haoyu , Zhang Jinbao , Yan Xiaohui , Xiong Rui
Published: September 2022

Due to the poor performance of ordinary Portland cement (OPC) as a solidified soil road and the large pollution in the production process, environment-friendly magnesium oxychloride cement (MOC) was used as the soil curing agent to prepare the solidified soil, exploring the optimal ratio of various raw materials when MOC is used as a curing agent. Analyzing the properties of MOC solidified soil in the application of road subgrade. This paper tests compaction, mechanical properties, and durability of the MOC solidified soil, simulates the development trend of 7 days unconfined compressive strength of MOC solidified soil, and then analyzes the hydration process and strengthens the formation mechanism of MOC in solidified soil. The study found that the addition of MOC as a curing agent to the soil can effectively improve the compaction and mechanical properties of the soil. Matlab simulation found that when the MgO content is 5.5% to 6% and the ratio of raw materials MgO, MgCl2, and H2O is 2.45 : 1 : 14 to 6.3 : 1 : 14, the performance of MOC solidified soil is excellent. Fitting UCS data, it is found that MOC solidified soil has early strength characteristics. The excellent compaction and mechanical properties of MOC solidified soil are due to the formation of a small amount of phase 5 and layered Mg(OH)2 by the hydration of MOC, and the formation of amorphous gel with SiO2 in the soil. This reaction improves soil compaction and reduces internal porosity from a microscopic perspective. The strength loss rate of MOC solidified soil is higher after immersion in water at the initial stage of curing, but it is still better than that of traditional cement-based solidified soil. Poor performance after immersion in water is associated with disruption of the network-like structure. As an environment-friendly soil curing agent, MOC can be used in engineering practice with low environmental humidity.
Construction of Unbalanced Engineering Cost Management and Multivariate Statistics System Based on Random Matrix Weight Algorithm
Authors: Huang Chen , Shao Xiaoming
Published: September 2022

The informatization of engineering cost plays an important role in the cost management and is also one of the important subjects of the informatization in the engineering field. It is the direction of the future project cost management. There is a trend of exponential increase in the information about project cost, which brings a great challenge to cost informatization. On the basis of the construction quantity and cost composition in the process of analyzing the present situation of the project cost, the overall index of the construction quantity and cost is constructed. For bridges and tunnels and to achieve a reasonable index of roadbed, on the basis of considering project at different stages and the demand for different levels of cost management personnel, adopt the method of statistical analysis and neural network, respectively, and set up the project cost fast estimation method and cost prediction model: intelligent prediction model and index system forecasting model. The error analysis and checking calculation of the two models provide the possibility for correctly estimating the engineering quantity and engineering cost in the preliminary design stage. Aiming at the low accuracy of the traditional unbalanced cost data classification algorithm, the dimension of random matrix weight was introduced into the cost data classification. On the basis of analyzing the spatial and temporal characteristics of WAMS measurement data, a high-dimensional random matrix model of WAMS measurement big data was constructed according to the high-dimensional random matrix theory, and a nonequilibrium cost data classification model based on the weighted algorithm of improved fuzzy rules was established. The model is applied to a unit project cost data classification, which verifies the operability of the model and provides a new idea for other units to carry out similar work. Finally, other common problems that should be paid attention to when using multivariate statistical analysis method are put forward.
Design of New Working Environment Based on Artificial Intelligence Algorithm
Authors: Zhou Boping , Qu Lihong
Published: September 2022

With the three industrial revolutions sweeping the world, especially since the third industrial revolution, the complexity of human work has greatly increased, and in the new era of technology and information, workers have new standards and new requirements for their work environment, and new form of work environment design has come into being. In this paper, a work environment system is designed by artificial intelligence algorithm to improve the workers’ work environment by assessing the good and bad degree of their natural and social work environment, and an intelligent service system is designed by using artificial intelligence algorithm, which can not only analyze and process the work environment assessment results but also execute the subjective and reasonable requirements made by the workers to help the workers maintain a good mood at work and improve their efficiency.
Construction of a Novel Oxidative Stress Response-Related Gene Signature for Predicting the Prognosis and Therapeutic Responses in Hepatocellular Carcinoma
Authors: Hong Junjie , Cai Xiujun
Published: September 2022

Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy with poor outcomes, and the assessment of its prognosis as well as its response to therapy is still challenging. In this study, we aimed to construct an oxidative stress response–related genes–(OSRGs–) based gene signature for predicting prognosis and estimating treatment response in patients with HCC. We integrated the transcriptomic data and clinicopathological information of HCC patients from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) databases. LASSO Cox regression analysis was utilized to establish an integrated multigene signature in the TCGA cohort, and its prediction performance was validated in the ICGC cohort. The CIBERSORT algorithm was employed to evaluate immune cell infiltration. The response rate to immune checkpoint inhibition (ICI) therapy was assessed using a TIDE platform. Drug activity data from the Cancer Genome Project and NCI-60 human cancer cell lines were used to predict sensitivity to chemotherapy. We successfully established a gene signature comprising G6PD, MT3, CBX2, CDKN2B, CCNA2, MAPT, EZH2, and SLC7A11. The risk score of each patient, which was determined by the multigene signature, was identified as an independent prognostic marker. The immune cell infiltration patterns, response rates to ICI therapy, and the estimated sensitivity of 89 chemotherapeutic drugs were associated with risk scores. Individual prognostic genes were also associated with susceptibility to various FDA-approved drugs. Our study indicates that a comprehensive transcriptomic analysis of OSRGs can provide a reliable molecular model to predict prognosis and therapeutic response in patients with HCC.
PI3K/AKT/mTOR Signaling Pathway Is Downregulated by Runzaoling (RZL) in Sjögren’s Syndrome
Authors: Zeng Ping , Jiang Zong , Huang Zhaowei , Huang Ying , Xu Hui , Chen Changming , Ma Wukai
Published: September 2022

Infiltration and aggregation of lymphocytes in exocrine glands are the basic pathological manifestations of Sjögren’s syndrome (SS), and the incidence of SS has been increasing year by year in recent years. To explore the potential signaling pathway of Runzaoling (RZL) in alleviating SS, the possible targets of RZL in SS were firstly explored through network pharmacology, and then, the regulation of PI3K/AKT/mTOR signaling in NOD mice and Th17 cells was verified. 75 8-week-old NOD mice were casually classified into 5 groups: model; hydroxychloroquine; high, medium, and low dose RZL groups, with 15 in each; and 15 BALB/c mice were employed as control group. After 10 weeks of continuous intragastric administration in mice and 24 hours of drugs intervention in Th17 cells, histopathology was observed by HE staining, and the gene transcription levels were identified by real-time quantitative PCR (RT-qPCR). The protein expressions were detected by western blotting (WB). The findings showed that high and medium dose RZL group could attenuate the submandibular gland tissue damage. The results indicated that the mRNA expressions of PI3K, AKT, mTOR, STAT3, and IL-17 in SS mice and in IL-17 stimulation of Th17 cells were dramatically increased compared with control group and decreased to varying degrees after RZL intervention. The trend of phosphorylated PI3K/AKT/mTOR and STAT3 and IL-17 protein expression in NOD mice and Th17 cells were consistent with mRNA. RZL can downregulate STAT3 and IL-17 expressions in the submandibular gland of NOD mice and in Th17 cells via regulating the PI3K/AKT/mTOR signaling pathway. Moreover, RZL could reduce the activation of CD4+ T lymphocyte differentiation to Th17 cells.
Evaluation of Sodium Alginate Stabilized Nanoparticles and Antibiotics against Drug Resistant Escherichia coli Isolated from Gut of Houbara Bustard Bird
Authors: Muneer Afshan , Kumar Santosh , Aqib Amjad Islam , Khan Shanza Rauf , Shah Syed Qaswar Ali , Zaheer Iqra , Rehman Tauseef ur , Abbas Asghar , Hussain Kashif , Rehman Atif , Nadeem Muhammad , Murtaza Maheen , Waseem Ahmad
Published: September 2022

Alternative approaches and/or modified approaches to tackle resistance in gut microbes are need of the hour. The current study was planned to find the resistance modulation and toxicity potential of sodium alginate stabilized MgO nanoparticles and antibiotics against Escherichia coli (E. coli) isolated from the gut of Houbara bustard bird (

n
=
105

fecal samples). The preparations consisted of gel stabilized ampicillin (G+A), gel stabilized MgO and ampicillin (G+M+A), gel stabilized MgO and cefoxitin (G+M+C), gel stabilized tylosin (G+T), gel stabilized MgO and tylosin (G+M+T), and gel stabilized MgO (M+G). The fecal samples showed 53% (56/105) prevalence of E. coli which was found to be significantly (

p
<
0.05

) associated with most of the assumed factors and resistant to multiple drugs. G+M+T showed the lowest (

4.883
±
0.00

μg/mL) minimum inhibitory concentration (MIC) followed G+M+C, G+M+A, G+A, M+G, and G+T. Significant reduction (

p
<
0.05

) in MIC with respect to incubation interval found at the 16th hr for G+M+A, G+A, and G+M+C that further remained nonsignificant (

p
>
0.05

) onwards until the 24th hr of incubation. In the case of G+T and M+G, significant reduction in MIC was found at the 20th hr and 24th hr of incubation. Ecotoxicology and histopathology trials on snails showed mild changes in MICs of the preparations. The study thus concluded increasing drug resistance in E. coli of houbara bird while sodium alginate stabilized MgO nanoparticles and antibiotics were effective alternative antibacterial composites with mild toxicity.
The Application of Focused Care Model in the Management of Hepatitis B Patients in a Tertiary Care Hospital and the Impact on Patients’ Quality of Life
Authors: Zhang Jian-Wei , Wang Yan , Shan Hai-Hong , Duan Jia-Yu , Yu Juan
Published: September 2022

Chronic hepatitis B is one of the common infectious diseases in the world, with a wide epidemic range and strong contagiousness, which is difficult to completely eradicate. From July 2020 to April 2022, 142 patients with hepatitis B who were admitted to tertiary hospitals were selected and randomly divided into 2 cases, with 71 cases per case. The control group adopts a conventional model, and the observation group implements a nursing model based on the control group. The management capacity and quality of life before and after the two groups of care were compared. 94 patients with chronic hepatitis B who were admitted to the hospital from July 2020 to April 2022 were selected, and 47 cases were divided into the control group and observation group according to the admission time. The control group is given a conventional model, and the observation group is given a nursing model on the basis of the control group. Both groups of patients observed anxiety self-assessment scale (SAS), depression self-assessment scale (SDS), short life span scale (SF-36) scores, and treatment conditions before and after the intervention, to explore the application of nursing model in the management of hepatitis B patients in tertiary hospitals and its impact on patient quality of life. Based on study’s precare outcomes, there was no statistically significant difference between the self-administered scale (PIH) score and the quality of life measurement summary scale (QOL-BREF) score (P>0.05) between the two groups. After one month of care, both groups had lower PIH scores than before care, and QOL-BREF scores were higher than before care (P<0.05). After one month of treatment, the PIH score of the observation group was significantly reduced, and the QOL-BREF score after one month of treatment was significantly higher than that of the control group (P<0.05). The SAS and SDS scores in the observation group were lower than those in the control group, and the quality of life scores and treatment compliance were higher than those in the control group, and the difference was statistically significant (P<0.05). Conclusions. The nursing model can effectively improve the management and quality of life of hepatitis B patients. It also had a significant positive effect on the therapeutic capacity and quality of life of patients with hepatitis B and improved patient compliance behavior and quality of life.
Design and Construction of Intelligent Corridor of Tourist Attractions Based on Sensor Network
Authors: Hu Ling
Published: September 2022

This paper presents an in-depth analysis and study of traditional corridor construction and tourism system planning using intelligent sensing networks. This paper proposes a node deployment and coverage optimization method for HWSNs based on particle swarm optimization emperor butterfly algorithm and extreme learning machine, with the objectives of reducing node deployment cost, reducing coverage redundancy and voids, improving monitoring area coverage, and increasing the agility of data processing by 15.03%, efficiency by 12.15%, and stability by 11.31%. In the paper, the static parameter table of the sensor is stored inside the smart sensor or stored on the IoT cloud platform to achieve automatic registration of the static parameters of the smart sensor. According to the characteristics of dynamic parameters of smart sensors, an autonegotiation algorithm is designed to realize the dynamic parameters of smart sensors to be determined by autonegotiation and complete registration without human intervention, which includes four parts: utility function, concussion protocol, proposal generation strategy, and response mechanism. The intelligent sensing system is composed of three parts: smart sensor, IoT gateway, and IoT cloud platform; the functions of each part in the system are analyzed, and MAR and STM32F4 are selected as the core board of smart sensor and IoT gateway. And for the problems of time-consuming and tedious access to smart sensors in the system, we propose to study the adaptive sensor UART serial port parameters and automatic registration of sensor parameters. Based on the analysis of the current environment and resource characteristics of the traditional corridor, the current situation of ecotourism resources of the traditional corridor is sorted out, an evaluation index system is established to evaluate ecotourism resources, and the current development basis is analyzed from four aspects: natural environment, tourism resources, product development, and infrastructure. Finally, to promote the sustainable development of the ecotourism corridor in the Chengdu section of the southern foot of the Qinling Mountains, the planning and development strategies to match the ecotourism corridor in the Chengdu section of the southern foot of the Qinling Mountains are proposed in four aspects: transportation organization optimization, ecological landscape enhancement, support system construction, and regional tourism development.
The Role of Traditional Obesity Parameters in Predicting Frailty among Coronary Artery Disease Patients Undergoing Cardiac Catheterization
Authors: Hayajneh Audai A. , Alhusban Islam M. , Rababa Mohammad
Published: September 2022

Background. Obesity has been reported to be associated with frailty and coronary artery disease (CAD). Objective. The present study aimed to investigate the role of the seven traditional obesity parameters body mass index (BMI), waist-height ratio (WHtR), waist-hip ratio (WHR), body adiposity index (BAI), body shape index (BSI), waist circumference (WC), and hip circumference (HC) in the prediction of frailty among CAD patients undergoing cardiac catheterization. Design. A secondary data analysis was conducted. Setting. Three main hospitals were located at the northern and middle regions of Jordan. Participants. 220 hospitalized patients undergoing cardiac catheterization were recruited. Measurements. The traditional obesity parameters were measured using an anthropometric tape and weight scale and frailty was measured using the Tilburg Frailty Indicator (TFI). Data were analyzed using bivariate Pearson’s correlation and forward linear regression analysis. Results. Total cholesterol, HC, triglycerides, age, random blood sugar, and WC had significant positive associations with and were predictors of frailty (

p
<
0.05

). The model of the seven predictors explained 32.4% of the variance in frailty (

p
=
0.02

). Conclusion. The incidence of frailty can be predicted by the increase in total cholesterol, HC, triglycerides, age, random blood sugar, and WC. The results of this study may help healthcare providers, including nurses, to identify the factors that could lead to frailty among CAD patients undergoing cardiac catheterization.
Development of a Costimulatory Molecule Signature to Predict Prognosis, Immune Landscape, and Response to Immune Therapy for Hepatocellular Carcinoma
Authors: Zhou Yongjie , Zhou Xin , Liu Qingxin , Zhang Zihan , Zhang Wen , Ma Jingqin , Yang Minjie , Yu Jiaze , Luo Jianjun , Yan Zhiping
Published: September 2022

This work was aimed at investigating the predictive value on prognosis, response to immunotherapy, and association with the immune landscape of costimulatory molecules in HCC patients. We acquired the clinicopathological information and gene expression of HCC patients from public available database (TCGA and GEO). The prognostic model in TCGA database was established with LASSO regression and Cox regression analysis. Through the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analysis, the enrichment analysis was implemented for analyzing the biological function and associated pathways. Immune microenvironment, immune escape, immune therapy, and tumor mutation were analyzed between both risk groups. TNFRSF4, the critical costimulatory molecule, was chosen for the in-depth investigation in vitro experiments. A novel risk signature based on 8 costimulatory molecules associated with prognosis was constructed from TCGA and proved in the database of GEO. The ROC and Kaplan-Meier curves confirmed that this risk model has good predictive accuracy. Our functional analysis demonstrated costimulatory molecular genes might associate with immune-related functions and pathways. Statistical differences were not shown between both groups, in the aspect of immune landscape, response to immune therapy, and tumor mutation. Knocking down TNFRSF4 expression significantly reduced the proliferation ability and increased the apoptosis ability. On the basis of the costimulatory molecule expression in HCC, a novel risk model was constructed and had an excellent value to predict prognosis, immune microenvironment, and response to immune therapy. TNFRSF4 was identified as an underlying oncogene in HCC and deserves further exploration.
The Origin and Development of Piji Pills: An Ancient Prescription of Traditional Chinese Medicine
Authors: Liu Fudong , Jiang Xiaochen , Zhang Chuanlong , Wang Guibin , Li Yi , Pang Bo
Published: September 2022

Objective. Ancient prescriptions of traditional Chinese medicine (TCM) are an important source for innovative drug research and development, which has garnered increasing attention in recent years. Piji Pills, an ancient TCM prescription, has a long history and remarkable clinical efficacy in the treatment of digestive disorders. Thus, the purpose of this study was to explore the origin and development of Piji Pills and to discuss the potential future direction of an ancient TCM prescription. Method. We analyzed the origin and development of the Piji Pills by reviewing literature records and their evolution in ancient books. We used a full-text database covering 2,090 TCM ancient books and implemented the full-text retrieval function based on Ulysses software. A full-text search was conducted using the keyword “Piji Pills” (“脾积丸” in Chinese). The results generated 128 pieces of literature from 35 ancient TCM books. In order to identify pertinent sections from the generated results, the results were proofread by two independent authors (Fudong Liu and Xiaochen Jiang) who had sufficient experience concerning ancient books. The developmental process of the Piji Pills was divided into early, late, and modern times. With the approach of statistical methods and chronological description, we manually searched, indexed, and transformed 2,090 ancient TCM books. Result. From the time Piji Pills were first proposed, the records in ancient books became increasingly detailed, providing an in-depth discussion of their composition, dosage, and action mechanisms. In modern times, the research on key drugs found in Piji Pills has made a great contribution to clinical practice. However, the compound research on Piji Pills is still relatively superficial and requires further in-depth study. Conclusions. In this study, statistical methods were used to chronologically clarify the developmental process of Piji Pills. We found that the Piji Pills were widely used and had a significant advantage in the treatment of digestive system diseases. In-depth knowledge mining of ancient books could potentially promote the theoretical innovation of TCM and the research of new drugs.
Taxonomic and Ecological Interaction of Leishmaniasis Vectors (Diptera: Psychodidae) in Sefrou Province (Middle Atlas Morocco)
Authors: Talbi Fatima Zahra , Taam Abdelkarim , El Omari Hajar , Hilali Said , Fadil Mouhcine , El Khayyat Fatiha , Najy Mohamed , Mrani Alaoui Meryem , El-Akhal Fouad , Alami Abdellatif , Amaiach Rachid , Lahouiti Khadija , Taroq Amal , El Ouali Lalami Abdelhakim
Published: September 2022

An entomological survey was carried out in the locality of Aichoune to conduct a study on sand flies, species composition, and monthly relative abundance. This study is essential for the implementation of integrated vector management control. Insects collection was carried out twice a month from January 2013 to December 2014 by means of adhesive and CDC-type light traps. A total of 5441 sand flies were collected with the predominance of males (a sex ratio = 1.89). The sampled specimens consist of seven species divided into two genera: Phlebotomus (99.55%) and Sergentomyia (0.44%). Phlebotomus sergenti was the dominant species with an average annual proportion of 47.38%, followed by P. perniciosus (37.32%), P. longicuspis (8,56%), P. papatasi (6.23%), and P. ariasi (0.05%). The genus Sergentomyia was less common (0.44%). S.minuta was represented only by 0.36% and S. fallax by 0.07%. The species dynamics showed a unimodal evolution for P. sergenti and P. papatasi. They were active from May to October. P. perniciosus presents a trimodal trend showing the most relevant peak in August. The highest number of specimens was collected in June, when the temperature reaches an annual average value of 25.5°C. The obtained results will help us better understand the leishmaniasis transmission dynamics in the Aichoune locality and will contribute to the design of a surveillance strategy.
Application of Animation Character Intelligent Analysis Algorithm Based on Deep Learning
Authors: Duan Lei
Published: September 2022

The exit situation of characters is unstable, and the image is easy to change with the scene. Therefore, in this paper, an intelligent analysis algorithm of animation characters based on SSD target detection is proposed, which is trained by data enhancement strategy, where the weight factor of positive and negative samples are adjusted by an optimization method. Finally, it analyzes the overall process of intelligent analysis ability service application of animation characters. The test results verify the effectiveness of the improved algorithm that the proposed method can optimize the training process of the model, which helps users to more conveniently understand all kinds of animation characters, effectively enhances the efficiency of information dissemination, and ultimately plays a role in promoting the development of animation industry.
Study on the Effect of Self-Made Lifei Dingchuan Decoction Combined with Western Medicine on Cough Variant Asthma
Authors: Li Jiachun , Huang Ziliang , Li Keying , Jian Xiaoyun , Liang Binghui
Published: September 2022

Aims. To observe the clinical efficacy of self-made Lifei Dingchuan decoction combined with western medicine in the treatment of cough variant asthma (phlegm-heat accumulation in the lung syndrome). Materials and Methods. The clinical data of 90 patients with cough variant asthma who were hospitalized in the Department of Respiratory Medicine of our hospital from January 2020 to April 2022 were selected as the research objects, and they were equally divided into the observation group and the reference group according to different treatment methods, 45 cases in each group. The group was treated with traditional montelukast sodium chewable tablet and salmeterol fluticasone mixed powder inhalation, and the observation group was treated with self-made Lifei Dingchuan decoction on the basis of the control group, saturation, pH, partial pressure of oxygen in arterial blood, partial pressure of carbon dioxide, length of stay, and hospitalization costs. Results. After the patients underwent self-made Lifei Dingchuan decoction, there were significant differences between the observation group and the reference group in terms of heart rate, respiratory rate, blood oxygen saturation, pH value, arterial blood oxygen partial pressure, carbon dioxide partial pressure, and within the group. There was a statistical difference (

P
<
0.05

). The adverse reactions in patients with cough variant asthma after treatment showed that the red throat, shortness of breath, chest tightness, and dry mouth in the observation group were significantly different from those in the control group (

P
<
0.05

). After investigation, follow-up, and statistics, the hospitalization time, hospitalization cost, asthma exacerbation control time, effective rate, and recurrence rate were compared between the two groups, and the differences between the two groups were statistically significant (

P
<
0.05

). Conclusion. The study on the clinical efficacy and low hospitalization cost of the self-prepared lung and asthma-restorative soup in patients with cough variant asthma significantly improved the patients’ arterial oxygen saturation, acid-base value, arterial partial pressure of oxygen, and partial pressure of carbon dioxide and effectively controlled the heart rate and respiratory rate with high safety, which is worth further promotion.
Gerenciamento documental integrado à gestão de conservação: protocolos para o acervo artístico da UFMG
Authors: Panisset Ana Martins , Froner Yacy-Ara
Published: September 2022

Este artigo enfatiza a importância dos processos de documentação para uma gestão integrada de coleções, a partir do princípio de que o gerenciamento documental é uma das ferramentas indispensáveis para sua preservação. Aborda os protocolos desenvolvidos para políticas de documentação e gestão do Acervo Artístico da UFMG, destacando a especificidade dos acervos universitários. Constituído ao longo da trajetória da UFMG, esta coleção possui hoje aproximadamente 1700 objetos, entre pinturas, gravuras, desenhos, aquarelas, paisagens, retratos, fotografias, livros de artistas, esculturas e murais, englobando desde o século XVI ao XXI. A fim de problematizar a inserção e a formação de acervos nas universidades, o texto discute aspectos que envolvem a história e o desdobramento de ações que perspectivam o reconhecimento, a gestão, a salvaguarda e a necessidade de articulação nos âmbitos locais, nacionais e internacionais. Tais acervos, embora acumulados no âmbito da universidade, têm origem distinta, o que demanda uma percepção diferenciada de seus registros. Diante de tais desafios, é fundamental estabelecer subsídios para a discussão da necessidade da documentação para conhecimento e visibilidade dos acervos universitários. O reconhecimento das bases teóricas, dos princípios conceituais das ferramentas operacionais e dos protocolos estruturantes de gestão é fundamental para o estabelecimento de políticas de gestão de acervos no âmbito universitário, perspectivando sua integração às ações universitárias de ensino, pesquisa e extensão.
The availability and completeness of open funder metadata: Case study for publications funded by the Dutch Research Council
Authors: Kramer Bianca , de Jonge Hans
Published: September 2022

Research funders spend considerable efforts collecting information on the outcomes of the research they fund. To help funders track publication output associated with their funding, Crossref initiated FundRef in 2013, enabling publishers to register funding information using persistent identifiers. However, it is hard to assess the coverage of funder metadata because it is unknown how many articles are the result of funded research and should therefore include funder metadata. In this paper we looked at 5,004 publications reported by researchers to be the result of funding by a specific funding agency: the Dutch Research Council NWO. Only 67% of these articles contain funding information in Crossref, with a subset acknowledging NWO as funder name and/or Funder IDs linked to NWO (53% and 45%, respectively). Web of Science (WoS), Scopus, and Dimensions are all able to infer additional funding information from funding statements in the full text of the articles. Funding information in Lens largely corresponds to that in Crossref, with some additional funding information likely taken from PubMed. We observe interesting differences between publishers in the coverage and completeness of funding metadata in Crossref compared to proprietary databases, highlighting the potential to increase the quality of open metadata on funding.
Redescription of Mycale tunicata (Schmidt, 1862) (Porifera, Demospongiae, Poecilosclerida) from Rovinj, Croatia, northern Adriatic Sea
Authors: GUGEL JOCHEN , PFANNKUCHEN MARTIN , BRÜMMER FRANZ
Published: September 2022

Entire specimens of the sponge Mycale (Aegogropila) tunicata (Schmidt, 1862) (Porifera, Demospongiae, Poecilosclerida) were obtained from a soft-bottom environment through dredging and SCUBA-diving from the bay of Rovinj. Reliable identification was only possible after thorough comparisons with Museum specimens, including the original material from O. Schmidt. For the first time photographs of various aspects (sponge in situ, freshly collected sponges, both ectosomal and choanosomal skeleton, the surface, all spicules) of the sponge can be presented. Since a lot of material exists and the available descriptions of the species are in parts incomplete or misleading (especially the original description by O. Schmidt) a redescription of the species with recently collected material is an urgent task. A lectotype from the Schmidt-syntypes is designated.
Two remarkable new species of webspinners in the genus Eosembia Ross, 2007 (Embioptera: Oligotomidae) from Thailand
Authors: POOLPRASERT PISIT , SITTHICHAROENCHAI DUANGKHAE , LEKPRAYOON CHARIYA , BUTCHER BUNTIKA AREEKUL
Published: September 2022

Two new species of webspinners (Embioptera) in the genus Eosembia Ross from Thailand, E. lamunae sp. n. and E. paradorni sp. n., are described and illustrated. These species bring the total number of species known from eastern, southeastern and southern Asia to 15 species. An identification key to the currently recognized species in the genus Eosembia, based on adult males, is included.
An annotated check list of flat bugs (Hemiptera: Aradidae) from Vietnam
Authors: PHAM MINHLAN , BAI XIAOSHUAN , HEISS ERNST , CAI WANZHI
Published: September 2022

The flat bugs reported so far from Vietnam are cataloged. Altogther, 46 species of 5 subfamilies (Aneurinae, Aradinae, Calisiinae, Carventinae, Mezirinae) and 25 genera have been recorded for the Vietnamese fauna to date. Synonyms and distribution of each species are given. The type information for species originally described from Vietnam is provided.
A new species of Kalophrynus (Amphibia, Anura, Microhylidae) from Southern Peninsular Malaysia
Authors: MATSUI MASAFUMI , NISHIKAWA KANTO , BELABUT DAICUS M. , NORHAYATI AHMAD , YONG HOI SEN
Published: September 2022

A new microhylid, Kalophrynus limbooliati sp. nov., is described from the state of Johor, in the southern part of PeninsularMalaysia. Morphologically, the new species differs from all known congeners in the combination of medium body size;short fourth finger; two subarticular tubercles on fourth finger and none on the fifth toe; presence of light lateral stripe anddark inguinal spot; absence of nuptial pads and outer metatarsal tubercles. Acoustically, the new species clearly differsfrom all congeners whose calls have been reported, and resembles a syntopic ranid Hylarana laterimaculata with a long series of high-pitched whistle like notes.
Lepidiolamprologus kamambae, a new species of cichlid fish (Teleostei: Cichlidae) from Lake Tanganyika
Authors: KULLANDER SVEN O. , KARLSSON MAGNUS , KARLSSON MIKAEL
Published: September 2022

Lepidiolamprologus kamambae is described from the Kamamba Island off the southeastern coast of Lake Tanganyika. Itis similar to L. elongatus, L. kendalli, and L. mimicus in the presence of three horizontal rows of dark blotches along thesides. It differs from those species in the presence of a distinct suborbital stripe across the cheek. It is further distinguishedfrom L. elongatus and L. mimicus by the presence of a marbled pattern on the top of the head, and narrower interorbitalwidth (4.9–5.9% of SL vs. 6.0–7.0%). It is distinguished from L. kendalli by a shorter last dorsal-fin spine (11.2–13.3%of SL vs. 13.3–15.1 %) and presence of distinct dark blotches on the side instead of contiguous blotches forming stripesseparated by light interspaces. Lepidiolamprologus profundicola is unique in the genus having the cheeks covered withsmall scales. Scales are absent from the cheek in L. kamambae, and in the other species scales are either absent or veryfew and deeply embedded. Lepidiolamprologus nkambae was diagnosed from L. kendalli by the absence of scales on thecheek. The presence of scales in L. kendalli is variable, however, and L. nkambae is tentatively synonymized with L. kendalli for want of other diagnostic characters.