bluuebunny/crossref_metadata_2025 huggingface dataset:
Diversity Unlocks Creativity and Innovation
Authors: Badilescu Simona , Packirisamy Muthukumaran
Published: March 2022

A research lab where international students are working toward their PhD and Master’s degrees along with senior researchers is like a unit cell in the body of the university. What better model can be available for analyzing the success of research by providing a supportive and inclusive work environment that welcomes and encourages students, coming from a diversity of countries, languages, religious and socioeconomic backgrounds? This paper presents the mechanism that was instrumental in making the women researchers as well as the international students feel comfortable and helped them to explore and contribute to the multidisciplinary aspects of our lab.We highlight the important milestones in our lab work environment over the last fifteen years, with a focus on diversity, and we stress the beneficial role of the direction of the lab and the diversifying faculty in providing critically needed role models to our students. We emphasize the strength of diversity that unlocks imagination and intellectual curiosity. The paper includes stories showing the building of strong and creative lab culture.
Online Optimization of Animation Art Design User Virtual Perception in Mobile Edge Computing Environment
Authors: Liu Guozhu , Tsai Sang-Bing
Published: March 2022

Animation art design is widely used in all levels of social life and has become an important part of modern social visual culture. Driven by new technologies, it is integrated with relevant application fields, resulting in new media forms and art categories. The development course of animation art design is sorted out, focusing on the analysis of the technical basis of animation art design and art form, social function and cultural form, creative practice, and theoretical research. This paper puts forward the concept of dimension composition of animation art design and analyzes and studies the dimensions of technology and art, cognition and experience, economy, and culture in animation art design and artistic creation based on this concept. The modeling of edge devices and services is proposed to abstract resources and provide a unified formal description of user virtual perception for animation art design of various sensing types. All related attributes are described uniformly, and the device model and task model are given. Users can customize services based on predefined attributes. According to the development demand of multiuser shared virtual environments, the characteristics and limitations of the previous perception management scheme are analyzed and a two-layer perception management scheme is designed to adapt to the development of new multiuser shared virtual environment of animation art design.
Safety and Feasibility of Ultrasound-Guided Access for Coronary Interventions through Distal Left Radial Route
Authors: Ghose Tapan , Kachru Ranjan , Dey Jaideep , Khan Wasi Ullah , Sud Ratna , Jabeen Suraiya , Husain Shahnawaz , Pant Aparna
Published: March 2022

Aims. Left distal transradial arterial approach (ldTRA) is a new interventional route that spares right radial artery (RRA) for use in haemodialysis and as bypass graft. Vasant Kunj Left dIstal Transradial ArtEry approach (VKLITE) study aimed to assess the feasibility and safety of ldTRA access during coronary angiography (CAG) and percutaneous coronary intervention (PCI). Methods and Results. Between April 2018 and June 2020, 108 patients were enrolled and underwent CAG ± PCI via ultrasound guided ldTRA. Arterial puncture, CAG, and PCI were successful in 96.3% (104/108), 92.1% (93/101), and 94.1% (32/34) patients, respectively. Access site crossover rate was 14/108 (13.0%). Mean puncture, procedure, and haemostasis time (minutes) were 6.7 ± 7.1, 55.7 ± 32.8, and 23.1 ± 11.9. Median total fluoroscopic time was 6.6 minutes (IQR-14.2), and median total radiation dose was 39.2 Gy-cm2 (IQR-97.0). Local haematoma occurred in 11 patients (10.2%) with major haematoma in 1.9%, all recovering within three weeks. Mean pain score was 2.4 ± 2.3, and patient satisfaction score was 9.0 ± 1.3. LdTRA access compared with RRA access (n = 121) showed significantly increased mean procedure time (55.7 ± 32.8 vs. 43.9 ± 26.0 minutes, p = 0.01) and median total fluoroscopic time (6.6 [IQR-14.2] vs. 4.7 [IQR-8.2] minutes, p = 0.02), with similar median total radiation dose (39.2 [IQR-97.0] vs. 43.8 [IQR-54.5] Gy-cm2, p = 0.56). No radial artery loss, dissection, pseudoaneurysm, arteriovenous fistula, or nerve injury was noted. Conclusions. LdTRA access is feasible with few complications during CAG/PCI. Patient comfort and satisfaction makes it a desirable route for coronary interventions.
Analysis of Risk Factors for Intraoperative Hypotension in Cesarean Section and Poor Prognosis of Neonates
Authors: Liu Yang , Qian Yanning
Published: March 2022

Objective. To analyze the risk factors of intraoperative hypotension in cesarean section women and poor prognosis of neonates. Methods. The clinical data of 1071 cesarean section women admitted to The Affiliated Jiangning Hospital of Nanjing Medical University from January 2021 to December 2021 were retrospectively analyzed. They were divided into hypotension group (

n
=
472

) and normal control group (

n
=
599

) according to whether there was hypotension during operation. The correlations between the clinical data of cesarean section and the occurrence of intraoperative hypotension and poor prognosis of neonates were analyzed by logistic regression analysis. Receiver operating curve (ROC) was drawn and the area under the curve (AUC) was calculated. Results. Logistic regression analysis results showed that BMI ≥30 kg/m2, infant weight ≥3500 g, spinal anesthesia, puncture site L2-3, bupivacaine dose>10 mg, ropivacaine dose>50 mg, and perfusion index≥4 were the risk factor for intraoperative hypotension in cesarean section (

p
<
0.01

) and BMI ≥30 kg/m2, umbilical cord around neck, spinal anesthesia, and perfusion index≥4 were risk factors for poor prognosis of neonates (

p
<
0.01

). The AUC of ROC for BMI to diagnose intraoperative hypotension in cesarean section women was 0.6240 (95% CI: 0.59-0.66,

p
<
0.01

), the sensitivity was only 30.20% (95% CI: 26.73%-35.02%), and the specificity was 87.65% (84.77%-90.04%), and the AUC of BMI for the diagnosis of poor prognosis of neonates was 0.5647 (95% CI: 0.5013-0.6280,

p
=
0.049

), and the sensitivity was 51.19% (95% CI: 40.69%-61.59%), and the specificity was 64.34% (61.30%-67.26%). The AUC of perfusion index for the diagnosis of intraoperative hypotension in cesarean section women was 0.8333 (95% CI: 0.8081-0.8584,

p
<
0.01

), the sensitivity was 94.49% (95% CI: 92.05%-96.21%), and the specificity was 73.12% (69.43%-76.52%); the AUC of perfusion index for the diagnosis of ROC with poor prognosis of neonates was 0.6164 (95% CI: 0.5538-0.6791,

p
<
0.01

), the sensitivity was 70.24% (95% CI: 59.75%-78.96%), and the specificity was 50.86% (47.75%-53.97%). Conclusion. The prediction model established by BMI, infant weight, anesthesia method, puncture site, anesthetic drug dose, and perfusion index has guiding value for clinical prediction of cesarean section maternal hypotension. The prediction model established by BMI, umbilical cord around neck, anesthesia method, and perfusion index has guiding value for clinical prediction of poor prognosis of neonates.
Construction of Public English Curriculum System Based on Cloud Interactive Teaching Mode and Cloud Computing
Authors: Zhou Pei
Published: March 2022

English teaching can be divided into two complementary ways: classroom teaching and neural network autonomous learning, namely, physical English teaching and virtual English teaching. On the cloud interaction and cloud computing platform, teachers upload teaching resources, and students can view learning resources, submit assignments, and interact through mobile terminals such as mobile phones, notebooks, and iPads, so as to achieve all-round teacher-student interaction that breaks through time and space constraints and create a “live” classroom for ubiquitous English learning. This paper constructs a public English curriculum system based on the “cloud interaction” teaching mode. This model fully combines the actual English level of students and adopts practical teaching methods in both classroom introduction and classroom teaching. The model lets students easily integrate into regular learning activities, interpret language on the examples and life fragments around students, and accept language naturally and improves the effect of language teaching.
English Process Assessment Based on Deep Learning and Cloud Computing
Authors: Wang Cui
Published: March 2022

Summative assessment has long been the primary assessment method used in college English classes. Overemphasizing examinations has had a significant negative impact on foreign language instruction. We design and practice generative instructional objectives, open instructional activities, dynamic course resources, interactive instruction process, and developmental instructional assessment based on a cloud platform based on the basic idea of generative instruction and using the characteristics of a cloud computing platform. Measures to improve the generativeness of online classrooms have piqued students’ interest and enthusiasm for self-directed learning, allowing them to experience the joy of learning brought on by new technological advancements. We discovered that if you want to improve students’ language acquisition ability, you cannot just rely on assessment. The diversified process assessment can not only ensure that students complete their learning tasks efficiently and quickly but also ensure that students are assessed objectively and fairly. Using cloud computing, MATLAB algorithm, and artificial neural network theory, a mathematical model of an instruction quality assessment system is established in this paper. After the network has been trained, the quality of the instruction can be assessed, providing a useful reference point for future research into instruction quality assessment systems.
A Deep Learning and Clustering Extraction Mechanism for Recognizing the Actions of Athletes in Sports
Authors: Yang Jianhua
Published: March 2022

In sports, the essence of a complete technical action is a complete information structure pattern and the athlete’s judgment of the action is actually the identification of the movement information structure pattern. Action recognition refers to the ability of the human brain to distinguish a perceived action from other actions and obtain predictive response information when it identifies and confirms it according to the constantly changing motion information on the field. Action recognition mainly includes two aspects: one is to obtain the required action information based on visual observation and the other is to judge the action based on the obtained action information, but the neuropsychological mechanism of this process is still unknown. In this paper, a new key frame extraction method based on the clustering algorithm and multifeature fusion is proposed for sports videos with complex content, many scenes, and rich actions. First, a variety of features are fused, and then, similarity measurement can be used to describe videos with complex content more completely and comprehensively; second, a clustering algorithm is used to cluster sports video sequences according to scenes, eliminating the need for shots in the case of many scenes. It is difficult and complicated to detect segmentation; third, extracting key frames according to the minimum motion standard can more accurately represent the video content with rich actions. At the same time, the clustering algorithm used in this paper is improved to enhance the offline computing efficiency of the key frame extraction system. Based on the analysis of the advantages and disadvantages of the classical convolutional neural network and recurrent neural network algorithms in deep learning, this paper proposes an improved convolutional network and optimization based on the recognition and analysis of human actions under complex scenes, complex actions, and fast motion compared to post-neural network and hybrid neural network algorithm. Experiments show that the algorithm achieves similar human observation of athletes’ training execution and completion. Compared with other algorithms, it has been verified that it has very high learning rate and accuracy for the athlete’s action recognition.
Efficacy of Knee Taping in addition to a Supervised Exercise Protocol to Manage Pain and Functional Status in Individuals with Patellofemoral Osteoarthritis: A Randomized, Controlled Clinical Trial
Authors: Shah Mudasir Nazar , Shaphe Mohammad Abu , Qasheesh Mohammed , Reza Mohammad Kashif , Alghadir Ahmad H. , Iqbal Amir , Bhat Priyadarshani
Published: March 2022

Purpose. This study aimed to investigate the effect of knee taping in addition to a supervised exercise protocol on the pain intensity and functional status of individuals with patellofemoral osteoarthritis (PF OA). Methods. The study was based on a randomized, controlled pretest-posttest experimental group design. Following an initial screening, forty people with PF OA (mean age 55, range 40–60) were randomly assigned to one of two groups, Group A or Group B (n = 20 each). Group A underwent knee taping and participated in a supervised exercise program, whereas Group B only participated in a supervised exercise program. For four weeks, both groups received their prescribed treatment five consecutive days each week. At baseline (day 1 preintervention) and 4 weeks postintervention, the visual analog scale (VAS) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were obtained. To compare the effect of stipulated interventions within and between groups, paired and unpaired t tests were performed, with the level of significance set at

p
<
0.05

. Results. When comparing the outcome scores at 4 weeks postintervention with baseline scores, the within-group analysis revealed significant mean differences for the outcomes within groups A (VAS: MD = −3.08–0.76; T = 9.70;

p
<
0.05

and WOMAC: MD = −7.05–0.81; T = 11.11;

p
<
0.05

) and B (WOMAC: MD = −1.6–0.17; T = 2.35;

p
<
0.05

), but a nonsignificant mean difference for the outcomes of VAS within group B (∆MD = 0.08 ± 0.03; T = −0.56;

p
>
0.05

). Similarly, when the score of VAS (MD = −2.73–1.29; T = −9.17;

p
<
0.05

) and WOMAC (MD = −5.95–1.63; T = −5.86;

p
<
0.05

) were compared at 4 weeks postintervention, there was a significant mean difference between groups A and B. Conclusions. In people with patellofemoral osteoarthritis, combining knee taping with a supervised exercise protocol was more effective than the supervised exercise protocol alone in relieving pain and enhancing functional status.
Correlations between Age, Pain Intensity, Disability, and Tactile Acuity in Patients with Chronic Low Back Pain
Authors: Wang Juan , Zheng Kangyong , Wu Jinlong , Wang Rui , Zhuang Xiao , Wang Xueqiang
Published: March 2022

Objective. Chronic low back pain is an overwhelming problem for a wide range of people and leads to tactile acuity deficits. We aimed to investigate the correlations among age, pain severity, disability, and tactile acuity in patients with chronic low back pain by using multiple tactile acuity tests. Methods. A total of 58 participants (36.40 ± 14.95 years) with chronic low back pain were recruited, and two-point discrimination, point-to-point test, and two-point estimation were performed on their painful low back areas. The correlations between age, pain intensity, disability, and tactile acuity were characterized with Pearson’s correlation coefficients. Subgroup analyses according to the median values of age, pain intensity, and disability were used to compare the intergroup difference in tactile acuity. Results. Results illustrated significant negative associations among age, pain intensity, disability, and tactile acuity. Subgroup analyses revealed that patients with below-the-median values of age, pain intensity, and disability had better performance in tactile acuity tests than those with above-the-median values. Conclusion. This study indicated that tactile acuity was negatively associated with age, pain intensity, and disability in young patients with chronic low back pain.
Conformally Flat Pseudoprojective Symmetric Spacetimes infR,GGravity
Authors: De Uday Chand , Shenawy Sameh , Syied Abdallah Abdelhameed , Turki Nasser Bin
Published: March 2022

Sufficient conditions on a pseudoprojective symmetric spacetime PPSnwhose Ricci tensor is of Codazzi type to be either a perfect fluid or Einstein spacetime are given. Also, it is shown that a PPSnis Einstein if its Ricci tensor is cyclic parallel. Next, we illustrate that a conformally flat PPSnspacetime is of constant curvature. Finally, we investigate conformally flat PPS4spacetimes and conformally flat PPS4perfect fluids infR,Gtheory of gravity, and amongst many results, it is proved that the isotropic pressure and the energy density of conformally flat perfect fluid PPS4spacetimes are constants and such perfect fluid behaves like a cosmological constant. Further, in this setting, we consider some energy conditions.
A Modeling and Optimizing Method for Electricity Current Intensity of Coal Mills
Authors: Wang Chunlin , Liu Yang , Jiang Aipeng
Published: March 2022

Coal mills consume a huge amount of station service electricity power of a coal-fired power plant. Meanwhile, the operation of coal mills also has a large influence on boiler combustion. Among all the operating factors, the electricity current intensity of coal mills reflects the electricity power consumption as well as operating status of coal mills. If the electricity current intensity of coal mills can be predicted by giving a set of operation parameters, the operating status can be adjusted accordingly. The electricity current intensity of coal mills can be reduced or minimized subject to the coal type parameters and the load of the boiler through optimizing the coal mill operations. This paper builds a model to predict the electricity current intensity of coal mills using a Support Vector Machine based on a set of practical sensing data. Via optimizing the hyperparameters of the model, a reasonable prediction ability is achieved. Under a given production running condition, the electricity current intensity of the coal mill decreases from 47.9 AM to 46.5 AM, which is a remarkable achievement for the coal mill running process. This method may provide a feasible online solution for coal mill optimization.
Modified Peroral Endoscopic Myotomy Technique for Type II Achalasia: A Multicenter Retrospective Study
Authors: Zhang Huahui , Wang Kuangjing , Fang Ying , Xiong Zhe , Lin Min , Jiang Lifeng , Niu Qiuya , Huang Jin
Published: March 2022

Aim. This retrospective study is aimed at evaluating the outcomes of a modified peroral endoscopic myotomy (POEM) technique in patients with type II achalasia. Methods. We performed a modified POEM procedure, which involved a shorter (total myotomy

length
=
4
 
cm

), full-thickness myotomy, on 31 patients with type II achalasia. Clinical success rates, technical success rates, pre- and postoperative esophageal manometry results, complications, and reflux-related adverse events were evaluated. Results. The clinical success (

Eckardt
 
score
≤
3

) rates were 100% and 88.9% within 2 years and beyond 2 years postoperatively, respectively. The median lower esophageal sphincter pressures (LESP) decreased from 31.6 (26.7-49.7) mmHg preoperatively to 13.4 (10.5-21.6) and 11.8 (7.4-16.7) mmHg (

P
<
0.001

) at 6 and 12 months postoperatively, respectively. The median integrated relaxation pressure (IRP) decreased from 27.8 (20.6-37.5) mmHg preoperatively to 12.9 (11.3-23.4) and 11.6 (9.6-16.8) mmHg (

P
<
0.001

) at 6 and 12 months after POEM, respectively. Only one case (3.2%) of mucosal injury, four (12.9%) cases of reflux esophagitis, and two (6.5%) cases of gastroesophageal reflux symptoms were reported. Conclusions. The modified POEM technique showed excellent outcomes in patients with type II achalasia.
Major Anthropogenic Interactions Determining the Conservation Status of Endemic Mammals of Eastern Africa
Authors: Tafesse Israel Sebsibe , Yohannes Yordanos Berihun
Published: March 2022

Africa, as a continent of diversity, harbors many cosmopolitan and endemic mammals, 17 of the world’s 20 orders of terrestrial mammals. The Horn of Africa alone harbors nearly 220 mammalian species, including many threatened species. Mammals, particularly endemics ones, are threatened by anthropogenic challenges impacting their abundance, the number of reproductive individuals, and geographic ranges. Human population, in Eastern Africa, has been growing fast, and political and civil unrest aggravate human impacts on the environment. In particular, this study focused on identifying factors that are influencing the conservation status of endemic mammals of Eastern Africa using a multinomial logistic regression model. Agricultural expansion and deforestation threatened vulnerable (AOR: 2.650,p<0.05) and critically endangered species (AOR: 4.763,p<0.05) more than any other factors. Habitat loss persists as a major factor when critically endangered species (AOR: 3.520,p<0.05) are compared to near threatened species. Collectively, threatened species are mainly impacted by habitat loss (AOR: 2.678,p<0.05), agricultural expansion, and deforestation (AOR: 2.376,p<0.05). In the next 50 years, threats to biodiversity are likely to grow as human populations increase. There is no a generalized global model to measure the intensity of agricultural expansion, habitat loss, hunting, and human settlement in the protected areas. Attempts should be made to develop conservation strategies that aim to articulate an array of several conservation threats together across space and time.
Seismic Performance of New Fabricated Lightweight Herringbone Support Seismic Wall Based on ZigBee Sensor Technology
Authors: Wang Xinjun , Yu Honglin , Lu Chao
Published: March 2022

Reinforced concrete antiseismic wall structure has great load-bearing capacity and resistance to lateral displacement and is widely used as high-rise and super high-rise buildings. At present, in the seismic testing of buildings, the vibration signals that simulate earthquakes are transmitted through a wired transmission system for analysis after a certain amount of processing, and the seismic performance of the building is tested. The purpose of this paper is to analyze and study the seismic resistance of a newly fabricated lightweight herringbone braced seismic wall based on ZigBee sensor technology. In this paper, firstly, the research and exploration of the building seismic capability detection system using ZigBee technology wireless sensor are carried out, and the building seismic capability detection system is a wireless sensor network using ZigBee technology; it measures the seismic performance of the building by detecting the acceleration values of key parts in the building model. Then, the seismic design response spectrum is proposed, and the modal analysis is carried out at the same time, and the mode decomposition response spectrum method is given. Then, the seismic performance of the reasonable RC support lightweight herringbone support seismic wall was analyzed, and the seismic performance of the lightweight herringbone support structure was studied at the same time. The experimental results show that with the increase in the size of the RC support section, the bearing capacity and seismic performance of the lightweight herringbone support seismic wall are improved. The displacement ductility coefficient obtained is greater than 4, and the energy dissipation coefficient is 1.56, which meets the seismic requirements of the structure.
A Retrospective Trail Investigating Temozolomide Neoadjuvant Chemotherapy Combined with Radiotherapy in Low-Grade Pituitary Tumors
Authors: Cui Jie , Shen Jianbo , Ru Xiaohong , Tian Zhihua , Duan Zhibin , Chen Guiping , Li Min
Published: March 2022

Objective. To study and analyze the clinical application of temozolomide (TMZ) combined with radiotherapy in the treatment of low-grade pituitary tumors. Methods. A retrospective trail was conducted among 67 patients with low-grade pituitary tumors who were treated in our hospital from March 2018 to June 2020. According to different treatment methods, they were assigned into a combined group (37 cases, temozolomide capsules and radiotherapy) and a control group (30 cases, radiotherapy). The changes of serum prolactin (PRL), insulin-like growth factor-1 (IGF-1), GH levels, thyroid-stimulating hormone (TSH), serum free thyroxine (FT4), and adrenocorticotropic hormone (ACTH) were compared. Results. The chi-square test reports a significantly higher total effective rate in the combined group vs. control group (91.89% vs. 70.00%). Significant reductions in serum levels of PRL, IGF-1, and GH were observed in both groups after treatment, whereas the combined group treated with radiotherapy and TMZ resulted in significantly lower levels compared with the control group (

p
<
0.05

). After treatment, TSH decreased, and FT4 and ACTH increased in both groups, and the treatment with radiotherapy and TMZ in the combined group led to a significantly greater amplitude of variation (

p
<
0.05

). Conclusion. The combination of temozolomide and radiotherapy might be a promising technique for the treatment of pituitary tumors, thereby meriting promotion.
Research on Urban Fringe Rural Design Based on Correlation Analysis of Human-Land Relationship: Taking Xiananshan Village as an Example
Authors: Zhou Donghong
Published: March 2022

Based on system theory and human-land relationship theory, the evolution characteristics of the habitat environment of scenic fringe rural tourism sites are summarized in three aspects, including self-organisation, periodicity, and volatility. Taking the tourism circle of Xiananshan Village in Liandu District in Lishui as an example, the spatial and temporal changes in the flow of tourism factors are taken as the main driving factors, and a dynamic model of the evolution of the habitat environment of scenic fringe rural tourism sites is constructed. The regulation process is to clarify the inner connection between the spatial and temporal patterns of rural habitat environment and the tourism development process and to seek the habitat environment of rural tourism sites on the edge of scenic areas.
Synergic Renoprotective Effects of Combined ASC Therapy with RAAS Blockade in Experimental Advanced CKD
Authors: Maires Marina P. C. , Pereira Krislley R. , Silva Everidiene K. V. B. , Souza Victor H. R. , Teles Flavio , Barbosa Paulyana F. , Garnica Margoth R. , Ornellas Felipe M. , Noronha Irene L. , Fanelli Camilla
Published: March 2022

Global prevalence of chronic kidney disease (CKD) has increased considerably in the recent decades. Overactivity of the renin-angiotensin-aldosterone system (RAAS), associated to renal inflammation and fibrosis, contributes to its evolution. The treatments currently employed to control CKD progression are limited and mainly based on the pharmacological inhibition of RAAS, associated with diuretics and immunosuppressive drugs. However, this conservative management promotes only partial deceleration of CKD evolution and does not completely avoid the progression of the disease and the loss of renal function, which motivates the medical and scientific community to investigate new therapeutic approaches to detain renal inflammation/fibrosis and CKD progression. Recent studies have shown the application of mesenchymal stem cells (mSC) to exert beneficial effects on the renal tissue of animals submitted to experimental models of CKD. In this context, the aim of the present study was to evaluate the effects of subcapsular application of adipose tissue-derived mSC (ASC) in rats submitted to the 5/6 renal ablation model, 15 days after the establishment of CKD, when the nephropathy was already severe. We also verify whether ASC associated to Losartan would promote greater renoprotection when compared to the respective monotherapies. Animals were followed until 30 days of CKD, when body weight, systolic blood pressure, biochemical, histological, immunohistochemical, and gene expression analysis were performed. The combination of ASC and Losartan was more effective than Losartan monotherapy in reducing systolic blood pressure and glomerulosclerosis and also promoted the complete normalization of proteinuria and albuminuria, a significant reduction in renal interstitial macrophage infiltration and downregulation of renal IL-6 gene expression. The beneficial effects of ACS are possibly due to the immunomodulatory and anti-inflammatory role of factors secreted by these cells, modulating the local immune response. Although studies are still required, our results demonstrated that a subcapsular inoculation of ASC, associated with the administration of Losartan, exerted additional renoprotective effect in rats submitted to a severe model of established CKD, when compared to Losartan monotherapy, thus suggesting ASC may be a potential adjuvant to RAAS-blockade therapy currently employed in the conservative management of CKD.
Multiple Musical Instrument Signal Recognition Based on Convolutional Neural Network
Authors: Lei Lei
Published: March 2022

To improve the accuracy of multi-instrument recognition, based on the basic principles and structure of CNN, a multipitch instrument recognition method based on the convolutional neural network (CNN) is proposed. First of all, the pitch feature detection technology and constant Q transform (CQT) are adopted to extract the signal characteristics of multiple instruments, which are used as the input of the CNN network. Moreover, in order to improve the accuracy of multi-instrument signal recognition, the benchmark recognition model and two-level recognition model are constructed. Finally, the above models are verified by experiments. The results show that the two-level classification model established in this article can accurately identify and classify various musical instruments, and the recognition accuracy is improved most obviously in xylophone. Compared with the benchmark model, the constructed two-level recognition has the highest accuracy and precision, which shows that this model has superior performance and can improve the accuracy of multi-instrument recognition.
Efficacy of Human Adipose Derived Mesenchymal Stem Cells in Promoting Skin Wound Healing
Authors: Zhou Lingcong , Wang Hui , Yao Sidi , Li Li , Kuang Xin
Published: March 2022

Background. The aim of this pilot clinical study is to evaluate the efficacy of human adipose derived mesenchymal stem cells (HAMSCs) treatment for the wound healing with patients. Methods. This study was a clinical trial to investigate the efficacy of human adipose derived mesenchymal stem cells treatment for the wound healing with patients. 346 patients with skin wounds attending the central hospital of Yue Yang were enrolled in the study, setting in the period from January 2016 to January 2021. Patients were randomly allocated into two groups: experimental group received treatment with human adipose derived mesenchymal stem cells for each 10 cm2 of wound and control group received conventional dressing with normal saline for each 10 cm2 of wound. Results. No adverse events were recorded during the period of treatment. The granulation tissue coverage rate and thickness of granulation tissue after 10 days of treatment in experimental group were significantly improved compared with control group. Furthermore, the occurrence of bleeding of wound and suppurative wounds between two groups had significant difference (

P
<
0.05

). Conclusion. The data in this pilot study indicated that human adipose derived mesenchymal stem cells may be a safe and effective alternative therapy for wound healing. Moreover, larger, placebo-controlled, perspective studies are necessity to evaluate the efficacy and safety of human adipose derived mesenchymal stem cells treatment for wound healing patients.
Analysis of Influencing Factors of Serum Stress Index and Prognosis of HICH Patients by Different Anesthesia Methods Combined with Small Bone Window Microsurgery
Authors: Zhao Guangping , Shi Jiong , Chen Yongxue
Published: March 2022

In order to investigate the effects of sevoflurane on the serum stress index level and prognosis of patients with hypertensive cerebral hemorrhage (HICH) during small bone window microsurgery, a total of 102 HICH patients are selected for analysis. MAP values in both groups decreased significantly at T1 and T2 (

P
<
0.05

), and the changes in MAP and HR indexes in the sevoflurane combined group were more stable than those in the control group. The time of postoperative awakening in the sevoflurane combined group decreases significantly than the control group (

P
<
0.001

). The levels of T-AOC and GSH-Px in both groups increase significantly after operation, and those in the sevoflurane combined group increase significantly than the control group (

P
<
0.001

). The levels of MDA and 8-OHDG in the sevoflurane combined group decrease significantly than the control group after operation (

P
<
0.05

). Spearman correlation coefficient analysis shows that the levels of T-AOC and GSH-Px are negatively correlated with the prognosis of HICH patients, while MDA and 8-OHDG are positively correlated with the prognosis of HICH patients (

P
<
0.001

). Sevoflurane interventional anesthesia has a high anesthetic effect in small bone window microsurgery, which has positive effects on controlling blood pressure of HICH patients, shortening postoperative recovery time and improving patients’ stress response and neurological function. This paper conducts an in-depth analysis of the prognosis of HICH patients, indicating that the prognosis of HICH patients is closely related to their serum stress indicators T-AOC, GSH-Px, MDA, and 8-OHDG, providing a new direction for follow-up clinical diagnosis and treatment of HICH patients and accurate prognosis assessment.
The Beneficial Effect of IL-12 and IL-18 Transduced Dendritic Cells Stimulated with Tumor Antigens on Generation of an Antitumor Response in a Mouse Colon Carcinoma Model
Authors: Mierzejewska Jagoda , Węgierek-Ciura Katarzyna , Rossowska Joanna , Szczygieł Agnieszka , Anger-Góra Natalia , Szermer-Olearnik Bożena , Geneja Magdalena , Pajtasz-Piasecka Elżbieta
Published: March 2022

The main purpose of our study was to determine the effect of dendritic cell (DC) transduction with lentiviral vectors carrying sequences of il18 and/or il12 genes on the level of antitumor activity in vitro and in vivo. We examined the ability of DCs to migrate to the tumor-draining lymph nodes and infiltrate tumor tissue and to activate the local and systemic antitumor response. On the 15th day, DCs genetically modified for production of IL-12 and/or IL-18 were administered peritumorally to C57BL/6 female mice with established MC38 tumors. Lymphoid organs and tumor tissue were collected from mice on the 3rd, 5th, and 7th days after a single administration of DCs for further analysis. Administration of DCs transduced for production of IL-12 alone and in combination with IL-18 increased the inflow and activity of CD4+ and CD8+ T lymphocytes in the tumor microenvironment and tumor-draining lymph nodes. We also found that even a single administration of such modified DCs could trigger a systemic antitumor response as well as inhibit tumor growth. Application of the developed DC-based vaccines may exert a favorable impact on stimulation of an antitumor immune response, especially if these DC vaccines are administered repeatedly.
Research on Optimization of Food Industry Processing Process Based on Computational Intelligence
Authors: Li Manli , Li Shuo
Published: March 2022

Computational intelligence refers to an algorithm inspired by the body structure of natural animals and plants and unique landscapes. It can perform simultaneous multithreaded work. In the processing process of the food industry, multiple factors must be considered at the same time to optimize various parameters simultaneously. Therefore, this research combines computational intelligence algorithms with the processing flow of the food industry, conducts research on the optimization of food processing systems and processes, and fully understands the needs of the market, the competitiveness of the company’s products, and the people facing marketing. The MA-CI model was used to optimize the entire process of food processing and production, and multiple variables were integrated. The following conclusions were drawn: (1) When the

node
 
size
=
100

, calculate the optimal value of the intelligent model

MA
−
CI

=
0.3196

, the

worst
 
value
=
0.3120

, and the

average
 
plus
−
minus
 
variance
=
0.3155
±
4.6278
×

10

−
6

, in each index. Both are better than the Greedy algorithm model and the EA model. When the

node
 
size
=
200

, the optimal value of the calculation intelligence model

MA
−
CI

=
0.3050

, the

worst
 
value
=
0.2900

, and the

average
 
plus
 
and
 
minus
 
variance
=
0.2970
±
8.9251
×

10

−
6

; when the

node
 
size
=
300

, the calculation intelligence model (MA-CI)

optimal
 
value
=
0.2608

, the

worst
 
value
=
0.2499

, and the

mean
 
plus
−
minus
 
variance
=
0.2551
±
1.0028
×

10

−
5

; when the

node
 
size
=
500

, calculate the optimal value of intelligent model

MA
−
CI

=
0.2857

, the

worst
 
value
=
0.2812

, and the

mean
 
plus
 
and
 
minus
 
variance
=
0.2834
±
2.8230
×

10

−
6

. (2) In the electronic circuit network, calculate the intelligent model (MA-CI):

Rc
=
0.3174

,

NMI
=
0.7388

,

Δ
Ec
=
0

, and

k
=
14.43

; in the USAir network, the computational intelligence model (MA-CI) is as follows:

Rc
=
0.3041

,

NMI
=
0.8632

,

Δ
Ec
=
0

, and

k
=
7.43

; the computational intelligence model (the uniqueness and optimality of MA-CI) has resulted in the optimal solution for the optimization of the global machining process. (3) Using six online databases to predict and verify the MA-CI model for process optimization in the food industry, it was found that the MA-CI model for process optimization in the food industry was better than the standard value. (4) Perform performance testing on the optimized MA-CI model. It is found that under the MA-CI model,

MUTAG
=
98.2
±
4.3

,

ENZYMES
=
96.2
±
4.3

,

PTC
=
85.2
±
4.3

,

PROTEINS
=
82.0
±
3.2

,

NCI
1
=
80.2
±
2.0

, and

D
&
D
=
91.9
±
0.5

, which are better than the other models. The optimized MA-CI model can control the profit problem in food processing and production, and it is found that the MA-CI model can make the enterprise obtain the maximum profit in the shortest period.
Comparison of Expectant and Excisional/Ablative Management of Cervical Intraepithelial Neoplasia Grade 2 (CIN2) in the Era of HPV Testing
Authors: Tjandraprawira Kevin Dominique , Olaitan Adeola , Petrie Aviva , Wilkinson Nafisa , Rosenthal Adam N.
Published: March 2022

Objective. To investigate conservative and excisional/ablative treatment outcomes for cervical intraepithelial neoplasia grade 2 (CIN2) following introduction of virological test of cure. Methods. This was a retrospective study of prospectively collected data at a teaching hospital colposcopy unit. 331 sequential biopsy-proved CIN2 cases were involved. CIN2 cases diagnosed between 01/07/2014 and 31/12/2017 were either conservatively managed or treated with excision/ablation and then were followed up until discharge from colposcopy clinic and then using the national cervical cytology database. Outcomes were defined: cytological/histological regression was absence of high-grade CIN on biopsy and/or high-grade dysplasia; virological regression was cytological/histological regression and negative human papillomavirus testing; persistence was biopsy-proven CIN2 and/or moderate dyskaryosis; progression was biopsy-proven CIN3+ and/or severe dyskaryosis. Results. Median follow-up was 22.6 months (range: 1.9–65.1 months). Among 175 (52.9%) patients initially managed conservatively, 77.3% (133/172) regressed, 13.4% (23/172) persisted, 9.3% (16/172) progressed to CIN3+, and 97 (56.4%) patients achieved virological regression. 156 (47.1%) patients underwent initial excision/ablation, with an 89.4% (110/123) virological cure rate. After discharge, 7 (4.0%) and 3 (1.9%) patients redeveloped CIN in the conservative and treatment groups, respectively, during a median period of 17.2 months. Conclusion. Conservative management is a reasonable and effective management strategy in appropriately selected women with CIN2. High rates of histological and virological regression should be expected. The previously mentioned data provide useful information for deciding management options.
Using Network Pharmacology to Explore the Mechanism of Panax notoginseng in the Treatment of Myocardial Fibrosis
Authors: Han Jingxue , Hou Jingyi , Liu Yu , Liu Peng , Zhao Tingting , Wang Xinwei
Published: March 2022

Objective. The mechanism of Panax notoginseng in treating myocardial fibrosis (MF) was investigated using network pharmacology. Methods. Effective ingredients and potential targets of Panax notoginseng were screened in relevant databases to construct a compound-target network. Targets of MF were then screened to select common targets and construct a protein-protein interaction network. This was followed by Gene Ontology and pathway enrichment analyses. Molecular docking then verified the results of network analysis. Results. A total of 14 effective ingredients and 119 potential targets for MF were predicted. Quercetin, beta-sitosterol, and gossypetin were speculated to be the main active ingredients. The mechanism of action may be related to AGE-RAGE, proteoglycans, and IL-17 signaling pathways. Five key targets (IL6, ALB, AKT1, TNF, and VEGFA) may be involved in the treatment of MF using Panax notoginseng. Conclusions. This study embodies the complex network relationship of multicomponents, multitargets, and multipathways of Panax notoginseng in treating MF and provides a novel method for further research on this herb’s mechanism.
Piano Automatic Composition and Quantitative Perception under the Data-Driven Architecture
Authors: Ren Chao
Published: March 2022

This paper combines automatic piano composition with quantitative perception, extracts note features from the demonstration audio, and builds a neural network model to complete automatic composition. First of all, in view of the diversity and complexity of the data collected in the quantitative perception of piano automatic composition, the energy efficiency-related state data of the piano automatic composition operation is collected, carried out, and dealt with. Secondly, a perceptual data-driven energy efficient evaluation and decision-making method is proposed. This method is based on time series index data. After determining the time subjective weight through time entropy, the time dimension factor is introduced, and then the subjective time weight is adjusted by the minimum variance method. Then, we consider the impact of the perception period on the perception efficiency and accuracy, calculate and dynamically adjust the perception period based on the running data, consider the needs of the perception object in different scenarios, and update the perception object in real time during the operation. Finally, combined with the level weights determined by the data-driven architecture, the dynamic manufacturing capability index and energy efficiency index of the equipment are finally obtained. The energy efficiency evaluation of the manufacturing system of the data-driven architecture proves the feasibility and scientificity of the evaluation method and achieves the goal of it. The simulation experiment results show that it can reduce the perception overhead while ensuring the perception efficiency and accuracy.
Effect of Shielding Gas on the Microstructure and Properties of Laser-MAG Hybrid Welded Joint for Nickel-Saving Stainless Steel
Authors: Fang Naiwen , Huang Ruisheng , Wang Xingxing , Tian Jiahao , Li Shuai , Wu Pengbo , Xu Kai , He Peng , Wen GuoDong , Jiang Laizhu
Published: March 2022

Laser-MAG (metal active gas) hybrid welding of nickel-saving 08Cr19Mn6Ni3Cu2N stainless steel was carried out by using 98%Ar + 2%N2 and 95%Ar + 5%CO2 as shielding gases. The effect of different shielding gases on the microstructure and properties of the welded joints was investigated. The results showed that arc shrinkage was significant with the addition of nitrogen, weld spatter increased with the expansion of arc volume, and arc stability deteriorated. The ferrite content in the weld decreased by about 60%, the ferrite dendrite also gradually became finer, and the secondary dendrite arm was shorter. Only a small amount of δ and γ phases existed in the weld, and no precipitation of the σ phase and nitride was found. Observing four crystal planes, we found that size of the austenite grains decreased with the addition of nitrogen. The average tensile strength of the welded joints decreased from 712 MPa to 704 MPa, but with improved corrosion resistance, the pitting corrosion rate increased from 19.45 g·m2/h to 18.72 g·m2/h, and the hardness of weld was slightly reduced.
Intelligent Governance of Network Popular Opinion Based on DM Technology in the New Media Age
Authors: Wang Jingyi
Published: March 2022

The public’s desire to protect their own interests has increased in recent years. As information technology advances, the number of Internet users grows, the penetration rate improves, and the number of self-media users of network new media grows. Using historical data to predict future behavior and learn from massive amounts of data, humanity has entered the new media age, thanks to the rapid advancement of mobile Internet technology. It solves the problem that traditional database management systems cannot find hidden relationships and rules in data and cannot predict the future based on the data they have. This paper investigates the use of DM technology to intelligently govern network public opinion. Finance, telecommunications, network-related industries, retailers, manufacturing, medical care, pharmaceutical industry, and scientific fields have all made extensive use of it. Data mining (abbreviated as DM) is a type of data analysis that extracts credible, novel, effective, and understandable patterns from large amounts of data. It is closely related to database knowledge discovery.
Attentional Mechanisms and Improved Residual Networks for Diabetic Retinopathy Severity Classification
Authors: Cao Juan , Chen Jiaran , Zhang Xinying , Yan Qifeng , Zhao Yitian
Published: March 2022

Diabetic retinopathy is a main cause of blindness in diabetic patients; therefore, detection and treatment of diabetic retinopathy at an early stage has an important effect on delaying and avoiding vision loss. In this paper, we propose a feasible solution for diabetic retinopathy classification using ResNet as the backbone network. By modifying the structure of the residual blocks and improving the downsampling level, we can increase the feature information of the hidden layer feature maps. In addition, attention mechanism is utilized to enhance the feature extraction effect. The experimental results show that the proposed model can effectively detect and classify diabetic retinopathy and achieve better results than the original model.