bluuebunny/crossref_metadata_2025 huggingface dataset:
Body mass index trajectory from childhood to puberty and high blood pressure: the China Health and Nutrition Survey
Authors: Ji Yiman , Zhao Xiangjuan , Feng Yiping , Qu Yanlin , Liu Ying , Wu Sijia , Wu Yutong , Xue Fuzhong , Liu Yunxia
Published: November 2021

Objectives

The prevalence of childhood hypertension is rising in parallel with the increasing prevalence of overweight and obesity in children. How growth trajectories from childhood to puberty relate to high blood pressure (HBP) is not well defined. We aimed to characterise potential body mass index (BMI) dynamic changing trajectories from childhood to puberty and investigate their association with HBP.

Design

A dynamic prospective cohort.

Setting

China Health and Nutrition Survey 1991–2015.

Participants

There were 1907 participants (1027 men and 880 women) in this study.

Outcomes

The primary outcome was HBP defined as systolic blood pressure (SBP)/diastolic blood pressure (DBP) exceeding the standards or diagnosis by medical records or taking antihypertensive medication.

Results

A model of cubic parameters with three groups was chosen, labelled as normal increasing group (85.16%, n=1624), high increasing group (9.81%, n=187) and resolving group (5.03%, n=96). Compared with the normal increasing group, the unadjusted HRs (95% CIs) for the resolving and high increasing groups were 0.91 (0.45 to 1.86) and 1.88 (1.26 to 2.81), respectively. After adjusting for baseline age, region, sex, baseline BMI z-score, baseline SBP and baseline DBP in model 3, the HRs (95% CIs) for the resolving and high increasing groups were 0.66 (0.30 to 1.45) and 1.56 (1.02 to 2.38).

Conclusions

These results indicate that the BMI trajectories from childhood to puberty have significant impact on HBP risk. Puberty is a crucial period for the development of HBP.
Learning from Lean: a quality improvement project using a Lean-based improvement approach to improve discharge for patients with frailty in an acute care hospital
Authors: Rollinson Thomas James , Furnival Joy , Goldberg Sarah , Choudhury Aklak
Published: November 2021

A Lean-based improvement approach was used to complete a quality improvement project (QIP) focused on improving speed and quality of discharge of frail patients on two wards at a large teaching hospital in the UK. This was part of a national initiative to embed continuous improvement within the trust. The aim of the QIP was to improve the proportion of prenoon discharges to 33% of total patients discharged from the ward each day. An ‘improvement practice process’ followed, which included seven discrete workshops that took the QIP through four distinct phases—understand, design, deliver and sustain. Several improvement methods and tools were used, including value stream mapping and plan–do–study–act (PDSA) cycles. Ten PDSA cycles were implemented across the clinical areas, including improved planning and data collection of discharge, improved communication between nursing and medical staff, and earlier referrals to community hospitals for discharge. Improved performance was identified through the outcome metric prenoon discharges on both wards, with the average increasing from 8% to 24% on ward X and from 9% to 19% on ward Y, with no other significant change seen in other measures. Pettigrewet al’s context–content–process change model was used to structure the learning from the QIP, which included the impact of varying ward contexts, the format of conducting improvement with staff, the importance of organisational support, the need for qualitative measures, agreeing to an apposite aim and the power of involving service users. The original aim of 33% prenoon discharges was not achieved, yet there was clear learning from completing the QIP which could contribute to ongoing improvement work. This identified that the Lean-based improvement approach used was effective to some degree for improving discharge processes. Further focus is required on collecting qualitative data to identify the impact on staff, especially related to behaviour and culture change.
Mortality in hospitalised older patients: the WHALES short-term predictive score
Authors: Steinmeyer Zara , Piau Antoine , Thomazeau Joséphine , Kai Samantha Huo Yung , Nourhashemi Fati
Published: November 2021

Objective

To develop and validate the WHALES screening tool predicting short-term mortality (3 months) in older patients hospitalised in an acute geriatric unit.

Methods

Older patients transferred to an acute geriatric ward from June 2017 to December 2018 were included. The cohort was divided into two groups: derivation (n=664) and validation (n=332) cohorts. Cause for admission in emergency room, hospitalisation history within the previous year, ongoing medical conditions, cognitive impairment, frailty status, living conditions, presence of proteinuria on a urine strip or urine albumin-to-creatinine ratio and abnormalities on an ECG were collected at baseline. Multiple logistic regressions were performed to identify independent variables associated with mortality at 3 months in the derivation cohort. The prediction score was then validated in the validation cohort.

Results

Five independent variables available from medical history and clinical data were strongly predictive of short-term mortality in older adults including age, sex, living in a nursing home, unintentional weight loss and self-reported exhaustion. The screening tool was discriminative (C-statistic=0.74 (95% CI: 0.67 to 0.82)) and had a good fit (Hosmer-Lemeshow goodness-of-fit test (X2(3)=0.55, p=0.908)). The area under the curve value for the final model was 0.74 (95% CI: 0.67 to 0.82).

Conclusions and implications

The WHALES screening tool is a short and rapid tool predicting 3-month mortality among hospitalised older patients. Early identification of end of life may help appropriate timing and implementation of palliative care.
LGI1 antibody encephalitis: acute treatment comparisons and outcome
Authors: Rodriguez Andrew , Klein C J , Sechi Elia , Alden Eva , Basso Michael R , Pudumjee Shehroo , Pittock Sean J , McKeon Andrew , Britton Jeffrey W , Lopez-Chiriboga A Sebastian , Zekeridou Anastasia , Zalewski Nicholas L , Boeve B F , Day Gregory S , Gadoth Avi , Burkholder David , Toledano Michel , Dubey Divyanshu , Flanagan Eoin P
Published: November 2021

Objective

To compare acute treatment responses and long-term outcome in leucine-rich glioma-inactivated 1 (LGI1) antibody encephalitis.

Methods

Retrospective case series of 118 patients with LGI1 antibody encephalitis evaluated at Mayo Clinic across all US sites from 1 May 2008 to 31 March 2019. Patient clinical data were identified and analysed through the neuroimmunology laboratory and electronic medical record. LGI1 antibody detection was by cell-based indirect immunofluorescence assay of serum, cerebrospinal fluid or both. Clinical outcomes were faciobrachial dystonic seizure (FBDS) resolution, modified Rankin Scale (mRS) score, Kokmen Short Test of Mental Status (STMS) score (0–38 point scale) and neuropsychometric testing results.

Results

Compared with intravenous immunoglobulin (IVIg) (n=21), patients treated with single-agent acute corticosteroids (intravenous, oral or both) (n=49) were more likely to experience resolution of FBDS (61% vs 7%, p=0.002) and improvements in mRS score (ΔmRS score 2 vs 0, p=0.008) and median Kokmen STMS scores (ΔKokmen STMS score 5 points vs 0 points, p=0.01). In 54 patients with long-term follow-up (≥2 years), the median mRS score was 1 (range 0–6) and the median Kokmen STMS score was 36 (range 24–38) after all combinations of immunotherapy. Neuropsychometric testing in 32 patients with long-term follow-up (≥2 years) demonstrated short-term memory impairments in 37%.

Conclusions

Corticosteroids appeared more effective acutely than IVIg in improving LGI1 antibody encephalitis in this retrospective comparison of immunotherapies. While improvement with immunotherapy is typical and long-term outcome is favourable, short-term memory deficits are noted in approximately a third of the patients.
Neighbourhood tobacco retail access and tobacco use susceptibility in young adolescents in urban India
Authors: Mistry Ritesh , Kleinsasser Michael J , Puntambekar Namrata , Gupta Prakash C , McCarthy William J , Raghunathan Trivellore , Adhikari Keyuri , Narake Sameer , Hsieh Hsing-Fang , Desai Maruti , Assari Shervin , Alberts Joseph , Pednekar Mangesh S
Published: November 2021

Background

Neighbourhood tobacco retail access may influence adolescent tobacco use. In India, we examined the association between neighbourhood tobacco retail access and cognitive risks for tobacco use during early adolescence.

Methods

In 2019–2020, a population-based sample (n=1759) of adolescents aged 13–15 years was surveyed from 52 neighbourhoods in Mumbai and Kolkata. Neighbourhood tobacco retail access was measured as the frequency of visits to tobacco retailers, mapped tobacco retailer density and perceived tobacco retailer density. We estimated associations between neighbourhood tobacco retail access and cognitive risks for tobacco use (perceived ease of access to tobacco, perceived peer tobacco use and intention to use tobacco).

Results

There was high neighbourhood tobacco retail access. Tobacco retailer density was higher in lower income neighbourhoods (p<0.001). Adolescent frequency of tobacco retailer visits was positively associated with cognitive tobacco use risks. Mapped tobacco retailer density was associated with perceived ease of access in Kolkata but not in Mumbai, and it was not associated with perceived peer tobacco use nor intention. Perceived tobacco retailer density was associated with perceived ease of access and perceived peer use, but not with intention. In Kolkata, higher perceived retailer density and frequency of tobacco retailer visits were negatively associated with perceived ease of access.

Conclusions

Efforts to reduce neighbourhood tobacco retail access in India may reduce cognitive tobacco use risk factors in young adolescents. The frequency of tobacco retailer visits and perceived tobacco retailer density increased cognitive risks, though there were some exceptions in Kolkata that further research may explain.
Crossed product Leavitt path algebras
Authors: Hazrat Roozbeh , Vaš Lia
Published: November 2021

If [Formula: see text] is a directed graph and [Formula: see text] is a field, the Leavitt path algebra [Formula: see text] of [Formula: see text] over [Formula: see text] is naturally graded by the group of integers [Formula: see text] We formulate properties of the graph [Formula: see text] which are equivalent with [Formula: see text] being a crossed product, a skew group ring, or a group ring with respect to this natural grading. We state this main result so that the algebra properties of [Formula: see text] are also characterized in terms of the pre-ordered group properties of the Grothendieck [Formula: see text]-group of [Formula: see text]. If [Formula: see text] has finitely many vertices, we characterize when [Formula: see text] is strongly graded in terms of the properties of [Formula: see text] Our proof also provides an alternative to the known proof of the equivalence [Formula: see text] is strongly graded if and only if [Formula: see text] has no sinks for a finite graph [Formula: see text] We also show that, if unital, the algebra [Formula: see text] is strongly graded and graded unit-regular if and only if [Formula: see text] is a crossed product.

In the process of showing the main result, we obtain conditions on a group [Formula: see text] and a [Formula: see text]-graded division ring [Formula: see text] equivalent with the requirements that a [Formula: see text]-graded matrix ring [Formula: see text] over [Formula: see text] is strongly graded, a crossed product, a skew group ring, or a group ring. We characterize these properties also in terms of the action of the group [Formula: see text] on the Grothendieck [Formula: see text]-group [Formula: see text]
Bieberbach groups and flat manifolds with finite abelian holonomy from Artin braid groups
Authors: Ocampo Oscar
Published: November 2021

Let [Formula: see text]. In this paper, we show that for any abelian subgroup [Formula: see text] of [Formula: see text] the crystallographic group [Formula: see text] has Bieberbach subgroups [Formula: see text] with holonomy group [Formula: see text]. Using this approach, we obtain an explicit description of the holonomy representation of the Bieberbach group [Formula: see text]. As an application, when the holonomy group is cyclic of odd order, we study the holonomy representation of [Formula: see text] and determine the existence of Anosov diffeomorphisms and Kähler geometry of the flat manifold [Formula: see text] with fundamental group the Bieberbach group [Formula: see text].
Computer Vision for Facial Analysis Using Human-Computer Interaction Models
Authors: Ren Shuai
Published: November 2021

A facial recognition device is a technology that can be used for authenticating a human face by ID verification and for calculating facial features from a single image using a visual image or a video to a facial database. Computer vision’s main objective enables identifying images, detecting speech, the concentration of attention, facial expressions, and recognition of emotions. Face identification is an important part of the understanding of audiovisual speech. In this paper, Intelligent Schemes for human-computer interaction (IS-HCI) provides a broader and more expressive range of computer-based vision features for processing data from one or more sensors. In particular cases of impairment, alternative interaction methods dependent on computer vision can be effectively modified. Facial identification is a biometric safety category. This paper aims to help technology-based concepts, allowing a child with a debilitating neuromuscular disorder to communicate with the robot by recognizing facial expressions. The proposed model was suggested to test in photographs taken from children’s videos, and the preliminary findings show that computational interactions with children through facial expression would break down barriers to their relationship with machines with people with limited mobility. Thus the experimental results show the proposed method IS-HCI to enhance facial expression and effectively interact with the children to achieve sensitivity (94.12%), specificity (96.84%), recognition rate (94.23%), probability (21.78%), accuracy (96.69%), expression prediction rate (98.14%), muscle activity level (79.84%) compared to other methods.
Multidimensional periodic discrete wavelets
Authors: Andrianov P. A.
Published: November 2021

In this paper, the definition of a periodic discrete multiresolution analysis is provided. The characterization of such systems is obtained in terms of properties of scaling sequences. Wavelet systems generated by such multiresolution analyses are defined and described. Decomposition and reconstruction formulas for the associated discrete wavelet transform are provided.
An Electrochemically Activated Nanofilm for Sustainable Mg Anode with Fast Charge Transfer Kinetics
Authors: Wang Hui , Ryu Jaegeon , McClary Scott A. , Long Daniel M. , Zhou Mingxia , Engelhard Mark H. , Zou Liangfeng , Quinn Joseph , Kotula Paul , Han Kee Sung , Jia Haiping , Wang Chongmin , Assary Rajeev Surendran , Zavadil Kevin R. , Murugesan Vijayakumar , Mueller Karl T. , Shao Yuyan
Published: November 2021

Highly reversible Mg plating/stripping is key for rechargeable Mg batteries and has typically been successfully demonstrated using transient electrochemical techniques such as cyclic voltammetry measurements. However, little effort has been invested in studying the stability of the electrode/electrolyte interface over an extended time. We report here the development of an in situ generated surface film for Mg anodes based on electrodeposited bismuth (E_Bi). This film improves the interfacial stability of Mg in contact with the electrolyte, particularly over an extended time, and possesses fast charge-transfer kinetics (<30 Ω∙cm2) and low non-time-sensitive interfacial film resistance (ca. 5 Ω∙cm2) for active Mg species.
Construction of a Macrophage Infiltration Regulatory Network and Related Prognostic Model of High-Grade Serous Ovarian Cancer
Authors: Chang Hua , Zhu Yuyan , Zheng Jiahui , Chen Lian , Lin Jiaxing , Yao Jihang
Published: November 2021

Background. High-grade serous ovarian cancer (HGSOC) carries the highest mortality in the gynecological cancers; however, therapeutic outcomes have not significantly improved in recent decades. Macrophages play an essential role in the occurrence and development of ovarian cancer, so the mechanisms of macrophage infiltration should be elucidated. Method. We downloaded transcriptome data of ovarian cancers from the Gene Expression Omnibus and The Cancer Genome Atlas. After rigorous screening, 1566 HGSOC were used for data analysis. CIBERSORT was used to estimate the level of macrophage infiltration and WGCNA was used to identify macrophage-related modules. We constructed a macrophage-related prognostic model using machine learning LASSO algorithm and verified it using multiple HGSOC cohorts. Results. In the GPL570-OV cohort, high infiltration level of M1 macrophages was associated with a good outcome, while high infiltration level of M2 macrophages was associated with poor outcomes. We used WGCNA to select genes correlated with macrophage infiltration. These genes were used to construct protein-protein interaction maps of macrophage infiltration. IFL44L, RSAD2, IFIT3, MX1, IFIH1, IFI44, and ISG15 were the hub genes in the network. We then constructed a macrophage-related prognostic model composed of CD38, ACE2, BATF2, HLA-DOB, and WARS. The model had the ability to predict the overall survival rate of HGSOC patients in GPL570-OV, GPL6480-OV, TCGA-OV, GSE50088, and GSE26712. In exploring the immune microenvironment, we found that CD4 memory T cells and activated mast cells showed that the degree of infiltration was higher in the high-risk group, while M1 macrophages were the opposite, and HLA molecules were overexpressed in the high-risk group. Conclusion. We constructed a macrophage infiltration-related protein interaction network that provides a basis for studying macrophages in HGSOC. Our macrophage-related prognostic model is robust and widely applicable. It predicts overall survival in HGSOC patients and may improve HGSOC treatment.
Application Analysis of Radial Basis Function Neural Network Algorithm of Genetic Algorithm for Environmental Restoration and Treatment Effect Evaluation of Decommissioned Uranium Tailings Ponds
Authors: Wei Kun , Xiong Guokai , Xu Zhenghua , Liu Yong
Published: November 2021

A new analysis method for the environmental stability of uranium tailing ponds is established in this paper, and the stability intervals and environmental stability rates of indicators are defined in precise mathematical language and analyzed with examples. The results show that the overall environmental stability of this uranium tailings pond is still in a poor state after the first phase of decommissioning treatment, and special decommissioning treatment should be carried out for factors such as pH and radionuclides Po and Pb. Using the powerful nonlinear mapping function of the artificial neural network, a radial basis function neural network algorithm was constructed to predict the environmental stability of the uranium tailing pond. It provides a new feasible method for the comprehensive evaluation technology of uranium tailings ponds. Accuracy in DOA Estimation. The research work in this paper mainly analyzed the environmental stabilization process and stability of decommissioned uranium tailings ponds, proposed a new concept of environmental stability with ecological and environmental protection concepts and gave it a new connotation, established an environmental stability evaluation index system for decommissioned uranium tailings ponds through index screening by using rough set theory, comprehensively considered the influence of environmental factors such as external wastewater and exhaust gas, and realized the multifactor. The system of evaluation indexes for the stability of decommissioned uranium tailings ponds was established by combining multiple factors, and the long‐term monitoring and modeling of the environmental stabilization process of decommissioned uranium tailings ponds was carried out by using mathematical methods. The results show that the RBFNN‐GA algorithm can reduce the training error of the random radial basis function neural network, improve the generalization ability of the network, and make it capable of handling large data sets.
Investigation of the Optimal Layout of the Roadway in Closely Spaced Ultra‐Thick Coal Seams Mining with Remaining Coal Pillars
Authors: Zhao Bin , Gao Le , Tian Xianghui , Sun Yingyu
Published: November 2021

The reasonable layout of the roadway in closely spaced, ultra‐thick coal seam mining is of great significance to mining safety. Based on the research background of repeated roof leaks in the process of repairing the return air roadway in working face No. 30503 in the Tashan Coal Mine, theoretical analysis, in situ engineering testing, and numerical simulation were jointly adopted to evaluate the stability of the return air roadway under two schemes of repairing the original return air roadway and excavating a new return air roadway. The results show that the vertical mining‐induced fissure above the roadway will cause severe damage to the roadway due to the influence of working‐face mining when restoration of the roadway excavation is adopted. When choosing to excavate a new return air roadway, the new return air roadway just staggers the vertical cracks located in the top slab of the original return air roadway, putting the roadway in a state of stress reduction, making the roadway itself more stable and conducive to support. Therefore, the new air return tunnel was selected to establish the working face. To ensure safety of the working face during the mining of the original return air roadway, the original return air roadway was filled with high water content materials. Site investigation data show that this material plays a cushioning role in the filling section of the original return air roadway during the mining of the 30503 working face, and the deformation of the new return air roadway during the filling section crossing the original return roadway is stable and well controlled.
A PSO-LSTM Model of Offshore Wind Power Forecast considering the Variation of Wind Speed in Second-Level Time Scale
Authors: Yuan Chao , Tang Yiming , Mei Rui , Mo Fei , Wang Hong
Published: November 2021

To enable power generation companies to make full use of effective wind energy resources and grid companies to correctly schedule wind power, this paper proposes a model of offshore wind power forecast considering the variation of wind speed in second-level time scale. First, data preprocessing is utilized to process the abnormal data and complete the normalization of offshore wind speed and wind power. Then, a wind speed prediction model is established in the second time scale through the differential smoothing power sequence. Finally, a rolling PSO-LSTM memory network is authorized to realize the prediction of second-level time scale wind speed and power. An offshore wind power case is utilized to illustrate and characterize the performance of the wind power forecast model.
Forest Farm Fire Drone Monitoring System Based on Deep Learning and Unmanned Aerial Vehicle Imagery
Authors: Zheng Shaoxiong , Wang Weixing , Liu Zeqian , Wu Zepeng
Published: November 2021

Forest fires represent one of the main problems threatening forest sustainability. Therefore, an early prevention system of forest fire is urgently needed. To address the problem of forest farm fire monitoring, this paper proposes a forest fire monitoring system based on drones and deep learning. The proposed system aims to solve the shortcomings of traditional forest fire monitoring systems, such as blind spots, poor real-time performance, expensive operational costs, and large resource consumption. The image processing techniques are used to determine whether the frame returned by a drone contains fire. This process is accomplished in real time, and the resultant information is used to decide whether a rescue operation is needed. The proposed method has simple operations, high operating efficiency, and low operating cost. The experimental results indicate that the relative accuracy of the proposed algorithm is 81.97%. In addition, the proposed technique provides a digital ability to monitor forest fires in real time effectively. Thus, it can assist in avoiding fire-related disasters and can significantly reduce the labor and other costs of forest fire disaster prevention and suppression.
Effect of Sepiolite-Loaded Fe2O3 on Flame Retardancy of Waterborne Polyurethane
Authors: Xu Tong , Qian Di , Hu Yelei , Zhu Yuanzhao , Zhong Yi , Zhang Linping , Xu Hong , Peng Huaxin , Mao Zhiping
Published: November 2021

In this study, a kind of inorganic composite flame retardant (Sep@Fe2O3) was prepared by combining solution deposition and calcination methods using sepiolite microfiber material as carrier. This inorganic compound flame retardant was combined with waterborne polyurethane (WPU) through layer-by-layer method to prepare WPU composites. The SEM and EDS, TEM, and XRD were used to characterize the microscopic morphology and crystal structure of WPU composites. Thermogravimetric analysis tests confirmed the good thermal stability of WPU/Sep@Fe2O3 composites; at the temperature of 600°C, the carbon residual percentage of WPU/Sep, WPU/Fe2O3, and WPU/Sep@Fe2O3 composites is 7.3%, 12.2%, and 13.4%, respectively, higher than that of WPU (1.4%). Vertical combustion tests proved better flame-retardant property of WPU/Sep@Fe2O3 composite-coated cotton than noncoated cotton. The microcalorimeter test proved that the PHRR of WPU/Sep@Fe2O3 composites decreased by 61% compared with that of WPU. In addition, after combining with Sep@Fe2O3, the breaking strength of WPU increased by 35%.
Efficacy and Safety of Maxing Xianchang Su in the Treatment of Functional Constipation: A Randomized Controlled Trial
Authors: Li Mi , Zhao Lijuan , Ma Li , Zhang Wen , Huang Hua , Wei Jun , Sun Jun , Lu Fenying , Ji Lijiang
Published: November 2021

Background. Functional constipation (FC) is one of the prevalent gastrointestinal disorders that affect people of all ages. Long-term FC has significant effects on the quality of life of patients. Although commonly used drugs have reliable short-term effects, they are easily addictive and have side effects. Therefore, pursuing a convenient drug-food homogenous program is critical for FC patients. Maxing Xianchang Su is a functional food based on traditional Chinese medicine. To investigate the efficacy and safety of Maxing Xianchang Su in FC treatment, we conducted a randomized controlled trial. Methods. We carried out a prospective multicenter randomized parallel controlled study in three hospitals in Jiangsu Province, China, from January 2020 to March 2021, which included 206 FC patients. All patients were arbitrarily assigned into a treatment group and a control group at a ratio of 1 : 1; 103 cases in each group. The treatment group was given oral Maxing Xianchang Su, whereas the control group was treated with lactulose oral solution. The course of treatment was two weeks. The two groups of patients were evaluated after six weeks for symptom improvement before and after taking the drug. Furthermore, the safety of Maxing Xianchang Su was assessed. Results. Both groups of patients successfully completed the study without shedding cases. The effective rates of the treatment group and control group after two weeks were 90.6% and 67.0%, respectively. The treatment group had a better curative effect than the control group (

P
<
0.05

). The symptom score of the two groups improved compared with that before the treatment. The difference between the two groups was statistically significant (

P
<
0.05

). During the treatment process, neither group experienced abnormal changes in blood lipid, blood glucose, routine hematuria, or liver and kidney functions. There were no adverse reactions in both groups. Conclusion. Maxing Xianchang Su has a positive effect on FC treatment with reliable mid-term effect and a high level of safety.
Multiple Applications of Different Exercise Modalities with Rodents
Authors: Börzsei Denise , Szabó Renáta , Hoffmann Alexandra , Harmath Attila , Sebestyén Judith , Osman Jasmin , Juhász Béla , Priksz Dániel , Varga Csaba , Pósa Anikó
Published: November 2021

A large proportion of chronic diseases can be derived from a sedentary lifestyle. Raising physical activity awareness is indispensable, as lack of exercise is the fourth most common cause of death worldwide. Animal models in different research fields serve as important tools in the study of acute or chronic noncommunicable disorders. With the help of animal‐based exercise research, exercise‐mediated complex antioxidant and inflammatory pathways can be explored, which knowledge can be transferred to human studies. Whereas sustained physical activity has an enormous number of beneficial effects on many organ systems, these animal models are easily applicable in several research areas. This review is aimed at providing an overall picture of scientific research studies using animal models with a focus on different training modalities. Without wishing to be exhaustive, the most commonly used forms of exercise are presented.
Chemerin/CMKLR1 Axis Promotes the Progression of Proliferative Diabetic Retinopathy
Authors: Wang Lihui , Zhang Ying , Guo Yanan , Ding Wencui , Chang Ailing , Wei Jing , Li Xinsheng , Qian Hongxia , Zhu Chonggui
Published: November 2021

Background. Diabetic retinopathy (DR) is a prevalent microvascular complication of diabetes, and the levels of chemerin were associated with the severity of DR. However, there is no research on chemerin in the development of proliferative diabetic retinopathy (PDR). Therefore, our study aimed to explore the relationship between chemerin and PDR. Methods. The levels of chemerin/chemokine-like receptor (CMKLR1), proinflammatory cytokines, and vascular endothelial growth factor (VEGF) in 90 cases of PDR and nonproliferative diabetic retinopathy (NPDR) patients and in high glucose (HG) stimulated human retinal pigment epithelium cells (ARPE-19) were evaluated by ELISA. Moreover, chemerin was added into HG-induced ARPE-19 cells to assess its effect on proinflammatory cytokines and VEGF. Results. The levels of chemerin/CMKLR1 were higher in PDR patients than NPDR ones, and chemerin was positively correlated with CMKLR1 in PDR patients. Compared to NPDR, the secretions of proinflammatory cytokines and VEGF were increased in PDR patients and positively correlated with chemerin/CMKLR1. Additionally, chemerin activated CMKLR1 and aggravated HG-induced cell injury, inflammatory responses, and VEGF expressions in ARPE-19 cells. Conclusion. Our study demonstrated that chemerin/CMKLR1 axis aggravated the progression of PDR, which suggested that inhibition of chemerin might serve as a new therapeutic approach to treat PDR.
Agricultural Machinery Virtual Assembly System Using Dynamic Gesture Recognitive Interaction Based on a CNN and LSTM Network
Authors: Zhang Po , Lin Junqiang , He Jianhua , Rong Xiuchan , Li Chengen , Zeng Zeqin
Published: November 2021

The agricultural machinery experiment is restricted by the crop production season. Missing the crop growth cycle will extend the machine development period. The use of virtual reality technology to complete preassembly and preliminary experiments can reduce the loss caused by this problem. To improve the intelligence and stability of virtual assembly, this paper proposed a more stable dynamic gesture cognition framework: the TCP/IP protocol constituted the network communication terminal, the leap motion-based vision system constituted the gesture data collection terminal, and the CNN-LSTM network constituted the dynamic gesture recognition classification terminal. The dynamic gesture recognition framework and the harvester virtual assembly platform formed a virtual assembly system to achieve gesture interaction. Through experimental analysis, the improved CNN-LSTM network had a small volume and could quickly establish a stable and accurate gesture recognition model with an average accuracy of 98.0% (±0.894). The assembly efficiency of the virtual assembly system with the framework was improved by approximately 15%. The results showed that the accuracy and stability of this model met the requirements, the corresponding assembly parts were robust in the virtual simulation environment of the whole machine, and the harvesting behaviour in the virtual reality scene was close to the real scene. The virtual assembly system under this framework provided technical support for unmanned farms and virtual experiments on agricultural machinery.
Medical Image Recognition Technology in the Effect of Substituting Soybean Meal for Fish Meal on the Diversity of Intestinal Microflora in Channa argus
Authors: Huang Aixia , Sun Lihui , Lin Feng , Guo Jianlin , Jiang Jianhu , Shen Binqian , Chen Jianming
Published: November 2021

Purpose. To study the application of medical image recognition technology based on backpropagation neural network (BPNN) in the effect of soybean meal replacing fish meal on intestinal microbial diversity of Channa argus and to evaluate the application value of this intelligent algorithm, Channa argus was fed with different contents of soybean meal instead of fish meal. Methods. After intestinal samples were collected and bacteria were isolated, microscopic imaging was performed, and the images were classified and identified. BPNN was constructed to perform denoising, smoothing, and segmentation. Results. After BPNN processing, the bacteria were completely separated from the original image background, and the bacteria was in the closed state, which was beneficial to feature extraction and species recognition. If there were 2 hidden layer nodes, the segmentation accuracy of bacterial microscopic images was the highest, up to 97.3%. With the replacement ratio of fish meal increased, the species of intestinal microbiome gradually enriched, and the relative abundance of intestinal microbiome was higher after fish meal was completely replaced by soybean meal (replacement). The intestinal microbial enzyme activities were affected by different fish meal and soybean meal contents in the diet. The glutamate transaminase and adenosine deaminase activities were increased after the replacement and were higher than those before the replacement, with statistically significant differences (

P
<
0.05

). Conclusion. Replacement of fish meal with soybean meal has a significant effect on the intestinal flora diversity of Channa argus, and there is a close relationship between them. The image recognition technology based on BPNN has high recognition rate and segmentation accuracy for microbiological microscopic images.
The Limitation of Endoscopic Surgery Using the Full Endoscopic Discectomy System for the Treatment of Destructive Stage Pyogenic Spondylodiscitis: A Case Series
Authors: Setoue Tomoyuki , Nakamura Jun-Ichiro , Hara Jun
Published: November 2021

Introduction. Conservative therapy, including appropriate antibiotics and bracing, is usually adequate for most patients with pyogenic spondylodiscitis. If conservative treatment fails, surgical intervention is needed. However, major spinal surgery comprising anterior debridement and accompanying bone grafting with or without additional instrumentation is often related to undesired postoperative complications. In recent years, with minimally invasive surgery, the diagnostic and therapeutic value of endoscopic lavage and drainage has been proven. This study reports a case series of patients who required open revision surgery after treatment with endoscopic surgery using the full endoscopic discectomy system (FED), indicating the surgical limitations of endoscopic surgery for pyogenic spondylodiscitis. Methods. We retrospectively investigated the medical records of 4 patients who underwent open debridement and anterior reconstruction with posterior instrumentation following endoscopic surgery for their advanced lumbar infectious spondylitis. They had been receiving conservative treatment with antibiotics for 12–15 days. They also had various comorbidities, including kidney disease, heart failure, and diabetes. Numerical rating scale pain response, perioperative imaging studies, and C-reactive protein (CRP) levels were determined, and causative bacteria were identified. Primarily, the bone destruction stage was classified using computed tomography with reference to Griffiths’ scheme. Results. All patients had severe back pain before surgery with no relief of the pain after FED. Increased pain, including radicular pain after FED, was noted in one case. Causative pathogens from biopsy specimens were identified in 3 (75%) of the 4 cases. In preoperative radiological evaluation, all cases were classified as destructive stage in Griffiths’ scheme. The CRP levels of all the patients decreased slightly after endoscopic surgery. Relapse of spinal infection after revision surgery was not noted in any patient during the follow-up period. Conclusion. The surgical treatment of destructive-stage spondylitis with FED alone can increase low back pain due to aggressive debridement.
Energetic Glaucoma Segmentation and Classification Strategies Using Depth Optimized Machine Learning Strategies
Authors: Elizabeth Jesi V. , Mohamed Aslam Shabnam , Ramkumar G. , Sabarivani A. , Gnanasekar A. K. , Thomas Prince
Published: November 2021

Glaucoma is a major threatening cause, in which it affects the optical nerve to lead to a permanent blindness to individuals. The major causes of Glaucoma are high pressure to eyes, family history, irregular sleeping habits, and so on. These kinds of causes lead to Glaucoma easily, and the effect of such disease leads to heavy damage to the internal optic nervous system and the affected person will get permanent blindness within few months. The major problem with this disease is that it is incurable; however, the affection stages can be reduced and the same level of effect as that for the long period can be maintained but this is possible only in the earlier stages of identification. This Glaucoma causes structural effect to the eye ball and it is complex to estimate the cause during regular diagnosis. In medical terms, the Cup to Disc Ratio (CDR) is minimized to the Glaucoma patients suddenly and leads to harmful damage to one’s eye in severe manner. The general way to identify the Glaucoma is to take Optical Coherence Tomography (OCT) test, in which it captures the uncovered portion of eye ball (backside) and it is an efficient way to visualize diverse portions of eyes with optical nerve visibility shown clearly. The OCT images are mainly used to identify the diseases like Glaucoma with proper and robust accuracy levels. In this work, a new methodology is introduced to identify the Glaucoma in earlier stages, called Depth Optimized Machine Learning Strategy (DOMLS), in which it adapts the new optimization logic called Modified K-Means Optimization Logic (MkMOL) to provide best accuracy in results, and the proposed approach assures the accuracy level of more than 96.2% with least error rate of 0.002%. This paper focuses on the identification of early stage of Glaucoma and provides an efficient solution to people in case of effect by such disease using OCT images. The exact position pointed out is handled by using Region of Interest- (ROI-) based optical region selection, in which it is easy to point the optical cup (OC) and optical disc (OD). The proposed algorithm of DOMLS proves the accuracy levels in estimation of Glaucoma and the practical proofs are shown in the Result and Discussions section in a clear manner.
Antialgal Synergistic Polystyrene Blended with Polyethylene Glycol and Silver Sulfadiazine for Healthcare Applications
Authors: Anjum M. Raheel , Mushtaq Shehla , Abbas M. Asad , Mahmood Azhar , Nasir Habib , Janjua Hussnain A. , Malik Qamar , Ahmad Nasir M.
Published: November 2021

Polystyrene (PS) was blended with polyethylene glycol (PEG) and silver sulfadiazine (SS) with different weight proportions to form polymeric blends. These synthesized blends were preliminary characterized in terms of functional groups through the FTIR technique. All compositions were subjected to thermogravimetric analysis for studying thermal transition and were founded thermally stable even at 280°C. The zeta potential and average diameter of algal strains of Dictyosphaerium sp. (DHM1), Dictyosphaerium sp. (DHM2), and Pectinodesmus sp. (PHM3) were measured to be -32.7 mV, -33.0 mV, and -25.7 mV and 179.6 nm, 102.6 nm, and 70.4 nm, respectively. Upon incorporation of PEG and SS into PS blends, contact angles were decreased while hydrophilicity and surface energy were increased. However, increase of surface energy did not led to decrease of antialgal activities. This has indicated that biofilm adhesion is not a major antialgal factor in these blended materials. The synergetic effect of PEG and SS in PS blends has exhibited significant antialgal activity via the agar disk diffusion method. The PSPS10 composition with 10

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PEG and 10

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SS has exhibited highest inhibition zones 10.8 mm, 10.8 mm, and 11.3 mm against algal strains DHM1, DHM2, and DHM3, respectively. This thermally stable polystyrene blends with improved antialgal properties have potential for a wide range of applications including marine coatings.
Neonatal Resuscitation Research Priorities in Low- and Middle-Income Countries
Authors: Shukla Vivek V. , Nimbalkar Somashekhar M.
Published: November 2021

Several critical physiological changes occur during birth. Optimal and timely resuscitation is essential to avoid morbidity and mortality. The International Liaison Committee on Resuscitation (ILCOR) is a multinational committee that publishes evidence-based consensus and treatment recommendations for resuscitation in various scenarios including that for neonatal resuscitation. The majority of perinatal deaths occur in low- and middle-income countries (LMICs); however, there is limited research output from LMICs to generate evidence-based practice recommendations specific for LMICs. The current review identifies key areas of neonatal resuscitation-related research needed from LMICs to inform evidence-based resuscitation of neonates in LMICs.
An Empirical Study on the National Heterogeneity of High-End Manufacturing Technology Innovation and GVC’s Division of Labor Status
Authors: Liang Lei , Liang Yawen
Published: November 2021

Although the relationship between technological innovation and the status of the global value chain’s (GVC) division of labor has been essentially affirmed by academia, the direct regression of all countries does not account for national differences pertaining to different economic development levels. This paper divides the countries selected for this study into developed and developing countries and then conducts empirical tests on two sample sets to explore the heterogeneity of technological innovation and GVC division of labor status. The results reveal the following: (1) in developed countries, the GVC division of labor status of high-end manufacturing is generally higher than that of developing countries; (2) in developed countries, the technological innovation of high-end manufacturing plays a significant role in promoting GVC’s division of labor, while developing countries have a significant inhibitory effect; and (3) staff input and financial developmental levels have significantly promoted GVC’s status in the division of labor. Earlier studies have shown that, in developing countries, technological innovation in high-end manufacturing industries does not fully serve the goal of exporting intermediate goods. This study’s conclusions offer a new method of explaining the nature of a given country, the logic of technological innovation, and the differences in the GVC division of labor status.
Application of the Modified Mohr–Coulomb Yield Criterion in Seismic Numerical Simulation of Tunnels
Authors: Sui Chuan-Yi , Shen Yu-Sheng , Wen Yu-Min , Gao Bo
Published: November 2021

To solve the classical problem that the Mohr–Coulomb yield criterion overestimates the tensile properties of geotechnical materials, a modified Mohr–Coulomb yield criterion that includes both maximum tensile stress theory and smooth processing was established herein. The modified Mohr–Coulomb constitutive model is developed using the user‐defined material subroutine (UMAT) available in finite element software ABAQUS, and the modified Mohr–Coulomb yield criterion is applied to construct a numerical simulation of a shaking table model test. Compared with the measured data from the shaking table test, the accuracies of the classical Mohr–Coulomb yield criterion and the modified Mohr–Coulomb yield criterion are assessed. Compared to the shaking table test, the classical Mohr–Coulomb model has a relatively large average error (−6.98% in peak acceleration values, −8.47% in displacement values, −23.93% in axial forces), while the modified Mohr–Coulomb model has a smaller average error (+2.71% in peak accelerations value, +3.19% in displacements value, +7.56% in axial forces). The results of numerical simulation using the modified Mohr–Coulomb yield criterion are closer to the measured data.
Microbiome and Gestational Diabetes: Interactions with Pregnancy Outcome and Long-Term Infant Health
Authors: Neri Caterina , Serafino Erika , Morlando Maddalena , Familiari Alessandra
Published: November 2021

Microbiota composition is progressively being connected to different physiologic effects, such as glucose metabolism, and also to different pathologies, such as gestational diabetes mellitus (GDM). GDM is a public health concern that affects an important percentage of pregnancies and is correlated with many adverse maternal and neonatal outcomes. An increasing number of studies are showing some connections between specific microbial composition of the gut microbiota and development of GDM and adverse outcomes in mothers and neonates. The aim of this review is to analyze the available data on microbial changes that characterize healthy pregnancies and pregnancies complicated by GDM and to understand the correlation of these changes with adverse maternal outcomes; this review will also discuss the consequences of these maternal gut microbiome alterations on neonatal microbiota composition and neonatal long-term outcomes.
Drug-Induced Interstitial Lung Disease after Anthracycline-Combined Chemotherapy for Breast Cancer: A Case Report and Literature Review
Authors: Hoshina Hideko , Takei Hiroyuki
Published: November 2021

Drug-induced interstitial lung disease (DILD) has been occasionally reported with various causative drugs. In the context of breast cancer, anthracycline infrequently causes pulmonary adverse events. We report a 67-year-old woman with cT2N0M0 triple-negative breast cancer who received neoadjuvant chemotherapy with anthracycline-combined chemotherapy with pegfilgrastim. She developed fever, cough, and shortness of breath after 21 days of the scheduled fourth cycle of anthracycline. Computed tomography revealed drug-induced interstitial pneumonia. Prednisolone (1 mg/kg) was administrated and gradually decreased. Thereby, interstitial pneumonia quickly improved. Partial resection of the left breast and sentinel lymph node biopsy were performed, and we diagnosed ypT1bN0. The patient received 4 cycles of taxane and hypofractional radiotherapy and survived without any recurrences over the following 37 months. We report a rare case of DILD due to anthracycline-combined chemotherapy. Twenty-five cases of DILD with breast cancer after administration of anthracycline have been reported so far. However, 14 cases occurred during taxane. Most of the cases had remission by steroid treatment. The patients with respiratory symptoms during chemotherapy should be suspicious of not only infection but also DILD.