bluuebunny/crossref_metadata_2025 huggingface dataset:
[Retracted] Interactive Model of Rural Tourism and New Socialist Countryside Construction Using Deep Learning Technology
Authors: Chen Yupeng
Published: July 2022

China has proposed two major measures to address the “three rural issues”: the first is to abolish the agricultural tax, which has been in place for over 2000 years; the second is to propose the construction of a new socialist countryside, which would mark the end of the old era and the beginning of the new. As a result, this paper employs in‐depth learning technology to enhance rural tourism development and the creation of a new socialist countryside. This paper investigates deep‐learning‐based rural tourism and the creation of a new socialist countryside. Because MSE and MAE reflect the prediction error score, the lower the value, the better the recommendation accuracy. The MSE value of the machine learning algorithm is 2.456, the MSE value of the data mining algorithm is 2.324, and the MSE value of the convolution neural network algorithm is 2.102, when the number reaches 80. It can be concluded that the convolution neural network algorithm proposed in this paper has the lowest MSE and MAE values of the three methods, implying that the convolution neural network algorithm is the best of the three. The use of the convolution neural network algorithm to implement the scientific concept of development and the construction of a new socialist countryside is an important part of creating a harmonious society that fully meets the central government’s objectives and requirements for the construction of a new socialist countryside.
Landscape of Alternative Splicing Events Related to Prognosis and Immune Infiltration in Glioma: A Data Analysis and Basic Verification
Authors: Su Hong-xin , Yang Gang , Su Fei , Hu Chen-xiao , Zhang Tao , Ran Jun-tao , Guan Quan-lin
Published: July 2022

Background. Glioma is a prevalent primary brain cancer with high invasiveness and typical local diffuse infiltration. Alternative splicing (AS), as a pervasive transcriptional regulatory mechanism, amplifies the coding capacity of the genome and promotes the progression of malignancies. This study was aimed at identifying AS events and novel biomarkers associated with survival for glioma. Methods. RNA splicing patterns were collected from The Cancer Genome Atlas SpliceSeq database, followed by calculating the percentage of splicing index. Expression profiles and related clinical information of glioma were integrated based on the UCSC Xena database. The AS events in glioma were further analyzed, and glioma prognosis-related splicing factors were identified with the use of bioinformatics analysis and laboratory techniques. Further immune infiltration analysis was performed. Results. Altogether, 9028 AS events were discovered. Upon univariate Cox analysis, 425 AS events were found to be related to the survival of patients with glioma, and 42 AS events were further screened to construct the final prognostic model (

area
 
under
 
the
 
curve
=
0.974

). Additionally, decreased expression of the splicing factors including Neuro-Oncological Ventral Antigen 1 (NOVA1), heterogeneous nuclear ribonucleoprotein C (HNRNPC), heterogeneous nuclear ribonucleoprotein L-like protein (HNRNPLL), and RNA-Binding Motif Protein 4 (RBM4) contributed to the poor survival in glioma. The immune infiltration analysis demonstrated that AS events were related to the proportion of immune cells infiltrating in glioma. Conclusions. It is of great value for comprehensive consideration of AS events, splicing networks, and related molecular subtype clusters in revealing the underlying mechanism and immune microenvironment remodeling for glioma, which provides clues for the further verification of related therapeutic targets.
Determination and Application of Reasonable Levels for Highly Directional Long Boreholes in Deep Outburst Coal Seams
Authors: Zhang DangYu , Zhang MinBo , Wang LongKang , Zeng RuiPing , Wang JinBao
Published: July 2022

In order to solve the problem that the gas in the upper corner is easy to exceed the limit in the mining process of the deep outburst coal seam. Based on the theory of “O-ring” and the distribution of stratigraphy in the field, the development law of mining fissures in the overlying rock layer during the workface retrieval was studied by combining theoretical calculation and FLAC3D numerical modeling. The research results show that the range of fissure development zone in 2913 working face is 14.2 to 33 m from the coal seam roof, and the high drilling arrangement can be in the stable rock layer of the roof. For siltstone-fine sandstone interaction stratum, measures such as opening branches to adjust the layer and lowering the casing to protect the hole wall can be taken to ensure the stability of the borehole and the smooth flow of gas extraction channels. Field application shows that the high directional long borehole has the advantages of long extension distance and wide coverage, the average value of extraction mix is 34.3 m3/min, and the average value of extraction pure is 0.4 mm3/min, which helps to prevent the gas overlimit in the upper corner during the workface recovery. The high directional long borehole has obvious economic and safety benefits over the traditional high hole and has important promotion value in coal mine gas management.
Numerical Investigation of Seepage and Heat Transfer in Rocks with Various Fracture Patterns for Geothermal Energy Extraction
Authors: Yang Zhaoying , Wang Jun , Long Xiting , Wang Xuan
Published: July 2022

Unraveling the seepage and heat transfer coupled process between the working fluid and the fractured rocks in geothermal reservoir is of great significance to the exploitation and utilization of geothermal resources. In this study, based on the numerical modeling of fracture flow in geothermal reservoirs, the seepage and convective heat transfer behavior of fractured granite during geothermal extraction were investigated, and the effects of different fracture patterns, fluid injection temperature, and injection velocity on the temperature evolution of rock mass were comparatively analyzed. The results clearly revealed the influence of five different fracture patterns, i.e., single fracture, echelon fracture, parallel fracture, Y-shaped fracture, and crossfracture, on heat transfer capacity. Generally, the echelon fracture has the highest fluid outlet temperature, while the crossfracture has the largest total heat and shows the strongest heat transfer capacity. Besides the fracture shape, the fluid injection temperature and injection velocity also play significant roles in the heat transfer performance. The increase of fluid injection temperature would improve the total outlet heat of the crossfracture system and also benefit the system life. When the fluid injection temperature raises from 20°C to 35°C, the system life and the total outlet heat would be increased by 58.76% and 22.42%, respectively. However, higher fluid injection velocity would damage the system life of the geothermal reservoir, which obviously results in a decrease in total outlet heat. With the fluid injection velocity increasing from 0.004 m/s to 0.006 m/s, the system life could drop by 72.47%, and the total outlet heat was reduced by 55.72%. This work contributes to the preliminary understanding of the coupled seepage and heat transfer behavior in rock mass with various fracture patterns, and it could provide some practical implications for the rational exploitation of geothermal resources.
Analysis of Diversified Radio and Television Data Based on Adaptive Least Squares Support Vector Machine
Authors: Liu Jing , Cang Minnan
Published: July 2022

Under the current big data background, the training mode of radio and television director technology is obsolete, and the technical means do not meet the needs of modern development. In this article, a self-adaptive multivariate data statistical model of radio and television directors based on the least squares support vector machine is proposed, which combines the students’ views with the diversified teaching methods and teaching contents needed by university teachers in the process of vocational education and television education. This article applies the technology integration degree measurement, market integration degree measurement, business integration degree measurement, and integration degree comprehensive analysis to analyze the data of major video websites and major radio and television media. It is found that the market share of major radio and television media is increasing, and the number of broadcasts of major video online stores is also excellent.
Hyal1 Expression in Colorectal Carcinoma Cell Migration and Invasiveness: Significance and Mechanism
Authors: Zhao Shuangshuang , Zhao Junhui , Zhang Ni
Published: July 2022

Objective. To clarify the significance of hyaluronidsase 1 (Hyal1) expression in colorectal carcinoma (CRC) and its impact on tumor cell migration and invasiveness. Methods. Human CRC cell lines SW480, HCT116, and SW620 were purchased, ELISA and western blot were used to detect the expression of Hyal1 in cells, CCK-8 assay to detect cell proliferation ability, cell scratch assay to check cell migration rate, and cell invasion was detected by the transwell assay. The correlation of Hyal1 with CRC cell migration and invasiveness capacities was analyzed. Result. ELISA results showed that supernatant Hyal1 level was the lowest in SW480, highest in HCT116, with the level in SW620 in between (

P
<
0.05

). No evident difference was identified by western blot in Hyal1 protein expression among the three cells (

P
>
0.05

). The cell scratch assay and transwell assay showed that the migration and invasion ability of HCT116 cells was higher than that of SW620 (

P
<
0.05

). In vitro, Hyal1 had a synergistic relationship with the invasiveness and migration capacities of CRC cells (

P
<
0.05

). Conclusion. Hyal1 is elevated in CRC and is consistent with the invasiveness and metastasis abilities of CRC cells. It is hoped that this research can provide reference for future prevention and treatment of CRC.
[Retracted] Design of Intelligent Diagnosis and Treatment System for Ophthalmic Diseases Based on Deep Neural Network Model
Authors: Zhou Huihui
Published: July 2022

Artificial intelligence (AI) has developed rapidly in the field of ophthalmology. Fundus images have become a research hotspot because they are easy to obtain and rich in biological information. The application of fundus image analysis (AI) in background image analysis has been deepened and expanded. At present, a variety of AI studies have been carried out in the clinical screening, diagnosis, and prognosis of eye diseases, and the research results have been gradually applied to clinical practice. The application of AI in fundus image analysis will improve the situation of lack of medical resources and low diagnosis efficiency. In the future, the research of AI eye images should focus on the comprehensive intelligent diagnosis of various ophthalmic diseases and complex diseases. The focus is to integrate standardized and high‐quality data resources, improve algorithm efficiency, and formulate corresponding clinical research plans.
SERPINE1 Gene Is a Reliable Molecular Marker for the Early Diagnosis of Aortic Dissection
Authors: Li Dong , Xiao Cang-Song , Chen Lei , Wu Yang , Jiang Wei , Jiang Sheng-Li
Published: July 2022

With the acceleration of population aging, the detection rate of aortic dissection has increased. The incidence rate of aortic dissection has increased year by year and has become a serious threat to human health. However, the current clinical treatment of aortic dissection is mainly limited to surgery (including intracavity), but the complexity of the disease and the high risk of surgery seriously affect the overall treatment effect of the disease. Therefore, an in-depth study of the pathogenesis of aortic dissection and the development of early diagnosis methods is not only expected to control the development of aortic dissection but also to improve the existing clinical treatment effect. Based on the bioinformatics analysis of the related mRNA sequence data of aortic dissection in GEO database, the gene expression regulatory network of aortic dissection was constructed. Through the screening of key node genes, the key factors (molecular markers) that may affect the occurrence of aortic dissection were obtained, and their functions were tested in human aortic smooth muscle cells (HAoSMC). Finally, it was concluded that SERPINE1 gene is a reliable molecular marker for the early diagnosis of aortic dissection.
Cardiac Magnetic Resonance Assessment of the Protective Effect of Remote Ischemic Postconditioning on Coronary Microcirculation after Reperfusion Therapy for Acute ST-Segment Elevation Myocardial Infarction
Authors: Wu Chun , Duan Zhiyong , Shu Jin , Li Yajuan
Published: July 2022

This study intends to evaluate the characteristics of coronary microcirculatory function in patients with myocardial infarction undergoing reperfusion and its predictive value in assessing cardiac function, myocardial activity, recovery of ventricular wall motion after infarction, and distant myocardial remodeling by cardiac magnetic resonance technique (CMRI). Materials and Methods. The 293 cases of patients with myocardial infarction treated in our hospital from August 2017 to August 2021 were selected as the subjects of this retrospective study, 13 cases were shed due to transfer and moving, and the rest were divided into 140 cases each in the emergency and elective groups according to emergency percutaneous coronary intervention (PCI) and elective PCI. The patients’ myocardial infarct volume ventricular volume, microcirculatory obstruction volume ventricular volume, microcirculatory obstruction volume/myocardial infarct volume, and LVEF, combined with BP and troponin T, were analysed by CMR for comparative analysis, hemodynamic, and cardiac function index differences. Results. The hemodynamics (CO, CI, SV, SI, LVSW1, and LCW) measured at different times were significantly different between the two groups; patients in the emergency group had significantly lower EDV and ESV than the elective group at 7-10 d postoperatively; and EDV, ESV, and LVEF improved in both groups after 3 months, while EDV, ESV, and LVEF improved significantly better in the emergency group than in the elective group, and the difference was statistically significant (

P
<
0.05

). The myocardial infarct quality, VSM score, and ventricular wall motion abnormality score were significantly lower in the emergency group than in the elective group from 7 to 10 d after PCI; myocardial infarct quality, VSM score, and ventricular wall motion abnormality score improved in both groups at 3 months after PCI; and the degree of improvement of myocardial infarct quality and VSM score was significantly better in the emergency group than in the elective group (

P
<
0.05

). Conclusion. Acute myocardial infarction patients with significant effect of emergency PCI treatment can be on their postmyocardial infarction left ventricular function, and in the treatment of coronary heart disease, myocardial infarction diagnosis has a certain reference value.
Smart City Economic Management Prediction Model Based on Information Analysis System
Authors: Yu Xuan
Published: July 2022

In order to establish a central metadatabase that can comprehensively reflect the overall situation of regional economic and social development, this paper proposes a smart city economic management prediction model based on information analysis system. First, this paper introduces the common prediction methods of time series, explains the meaning of smart city, and expounds the problems existing in the economic management of smart city. Second, the functional requirements of the economic database management system for smart city are introduced. According to the application analysis of the basic database and public information platform, most government departments, relevant civil servants, and the public in the urban area have the demand for sharing and utilizing macroeconomic information. This paper adopts B/S architecture: the foreground uses HTML5 and JavaScript technology and the background uses Java language. It adopts SSH (Spring + Struts + Hibernate) framework, and the database uses Oracle11g to realize the overall function of the system. The system is tested, and the test results of data statistics function show that the selected time period of the last five years is correct and the linear graph is correct. It verifies and ensures the integrity, correctness, and operation stability of the system function.
Prediction Models for One-Year Survival of Adult Patients with Acute Kidney Injury: A Longitudinal Study Based on the Data from the Medical Information Mart for Intensive Care III Database
Authors: Zhou Lifang , Chu Laping , Peng Junqiong , Yin Shenhan , Yu Yafen
Published: July 2022

Acute kidney injury (AKI) is a common complication of acute illnesses with unfavorable outcomes. This cohort study aimed at constructing prediction models for one-year survival in adult AKI patients based on prognostic nutritional index (PNI), platelet-to-lymphocyte ratio (PLR), neutrophil percentage-to-albumin ratio (NPAR), or neutrophil-to-lymphocyte ratio (NLR), respectively. In total, 6050 patients from Medical Information Mart for Intensive Care III (MIMIC-III) were involved. The least absolute shrinkage and selection operator (LASSO) regression was utilized to screen possible covariates. The samples were randomly divided into the training set and the testing set at a ratio of 7.5 : 2.5, and the prediction models were constructed in the training set by random forest. The prediction values of the models were measured via sensitivity, specificity, negative prediction value (NPV), positive prediction value (PPV), area under the curve (AUC), and accuracy. We found that NLR (OR = 1.261, 95% CI: 1.145–1.388), PLR (OR = 1.295, 95% CI: 1.152–1.445), and NPAR (OR = 1.476, 95% CI: 1.261–1.726) were associated with an increased risk, while PNI (OR = 0.035, 95% CI: 0.020–0.059) was associated with a decreased risk of one-year mortality in AKI patients. The AUC was 0.964 (95% CI: 0.959–0.969) in the training set based on PNI, age, gender, length of stay (LOS) in hospital, platelets (PLT), ethnicity, LOS in ICU, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate, glucose, AKI stage, atrial fibrillation (AF), vasopressor, renal replacement therapy (RRT), and mechanical ventilation. The testing set was applied as the internal validation of the model with an AUC of 0.778 (95% CI: 0.754–0.801). In conclusion, PNI accompanied by age, gender, ethnicity, SBP, DBP, heart rate, PLT, glucose, AF, RRT, mechanical ventilation, vasopressor, AKI stage, LOS in ICU, and LOS in hospital exhibited a good predictive value for one-year mortality of AKI patients.
[Retracted] Research on the Driving Factors of Constructing Innovative Thinking Environment from the Perspective of Online Community
Authors: Xin Xin , Shi Wanqing
Published: July 2022

With the development of Internet information technology, the Internet space and the real space are increasingly integrated, and the influence of the Internet community has surpassed the cyberspace. The online community is not only a product of virtual space, but also integrates with the real society in terms of community interaction mode, network communityization of geographic communities, and dematerialization of social organizations. This offline integration trend objectively requires changes in online community governance at the level of thinking and system. Internet governance and social governance should be integrated to build a diversified, collaborative, and intelligent innovative online social governance system. This paper discusses the factors of creative thinking from the perspective of online community. Therefore, from the perspective of online community, more attention should be paid to the innovative thinking of online community, and the online community itself should play a more important role in the online social governance system.
MiR-192-5p Alleviated Fibrosis and Inflammatory Responses of Tendon Cells by Targeting NFAT5
Authors: Gong Fan , Li Xiaoliang , Zhang Hanling , Wu Jianke , Ma Guoxu , Zhang Bowen , Gao Jian , Ding Yi , Huang Yonglu , Xia Kun , Cheng Suoli , Zhou Xuebing , Shi Jiandang , Zhao Fei
Published: July 2022

Objective. To explore the effect of microRNA (miR)-192-5p on the inflammatory and fibrotic responses of tendon cells. Methods. Tendon cells were treated with transforming growth factor-β1 (TGF-β1). The expression of miR-192-5p and nuclear factor of activated T cells 5 (NFAT5) in tendon cells were detected by RT-qPCR. The expressions of inflammatory and fibrosis-related factors were detected by RT-qPCR and Western blot. MiR-192-5p binds to NFAT5 targeting by TargetScan and dual-luciferase reporter gene assay. The expression of the NFAT5 gene was detected by RT-qPCR and Western blot. Detection of apoptosis in tendon cells by flow cytometry. Results. MiR-192-5p was downregulated in tendon cells, and the expression level gradually decreased with the prolong of TGF-β1 treatment. The expression of NFAT5 increased with the treatment time of TGF-β1. The expression of miR-192-5p decreased collagen III (COLIII), α smooth muscle actin (α-SMA), matrix metalloproteinase- (MMP-) 1, and MMP-8 expression, thereby inhibiting TGF-β1-induced fibrosis in tendon cells. The expression of miR-192-5p decreased the expression of tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-1β, thereby alleviating TGF-β1-induced inflammatory response and reduce apoptosis in tendon cells. NFAT5 is a direct target of miR-192-5p in tendon cells. The upregulation of NFAT5 reversed the effect of miR-192-5p on the fibrotic activity and inflammatory response of TGF-β1-stimulated tendon cells. Conclusions. MiR-192-5p alleviates fibrosis and inflammatory responses of tendon cells by targeting NFAT5.
College Student Social Dynamic Analysis and Educational Mechanism Using Big Data Technology
Authors: Bai Jing
Published: July 2022

With the advancement of the “big data” technology, college students inadvertently purchase personal advice while taking advantage of the exciting Internet to access information quickly and easily. In order to objectively achieve the real office of college students’ material enlightenment penetration in the mobile-friendly network, we choose the popular mobile social network, and we apply the natural clustering algorithm rules to segment the college students. Further, we identify college students, based on which we construct information leakage and apply the risk assessment design. The comprehensive entrepreneurial evaluation of the microblog platform combined with the user’s mobile complaints is utilized to conduct a psychological analysis on the key components and key communication channels of college students’ complaint leakage. We obtain ticket data using the social prospect method and refer to four dogmatic characteristic elements of query motivation. And we also collect dimensions through surrogate analysis. Based on the reference feature factor, four different user groups are rapidly moved. Dining, social, teaching and large users, and the model features of various usage profiles are described in combination with eight categories of user feature importance. The |objective is to improve college students’ awareness of social network and mobile partner network mobile information to a certain extent. We attempt to protect college students from fraud and installation plans, to standardize the management of online social platform of advertisements, and to progressively promote the disposal of network movable property due to security changes.
Application of Entropy Hierarchy Analysis and Deep Neural Network Algorithm Combination in Enterprise Economic Management
Authors: Liu Dan , Zheng Xuefei , Dai Chunqian
Published: July 2022

The efficiency and effect of enterprise economic management activities depend on whether the performance evaluation can be implemented and the evaluation results can effectively feedback and improve the enterprise knowledge management process. Allocate enterprise resources to create more value. The evaluation of enterprise economic management activities depends heavily on the weights of different evaluation indicators of enterprises. In order to solve this problem, this paper proposes an evaluation method that integrates entropy weight analytic hierarchy process and deep neural network algorithm. Through objective entropy weight and imitation, the deep neural network fusion of subjective judgment of experts combines the subjective and objective factors of the evaluation index, then uses the AHP method as the evaluation index of performance evaluation according to the index weight, and finally realizes the accurate evaluation of enterprise economic management.
Music Individualization Recommendation System Based on Big Data Analysis
Authors: Sun Pengfei
Published: July 2022

This study discovers a certain complementary relationship between different algorithms after conducting a comprehensive and in-depth analysis of proposal algorithms. This study proposes a big data music individualization proposal method based on big data analysis, which integrates user behaviour, behaviour context, user information, and music work information, based on traditional music proposal methods; improves the collaborative filtering proposal algorithm based on user behaviour; and calculates the semantic similarity between lyrics, as well as the song co-occurrence similarity based on the user’s music download history. Because the lyrics represent the thoughts and feelings that the song wishes to convey to the listeners, the proposal module is completed, and the music proposal system is realized, by combining the two different similar information, using the improved algorithm and the Hadoop distributed framework. The music similarity and label similarity are combined to alleviate the problem of cold start and data sparseness, and a mixed similarity calculation formula is proposed to calculate the similarity between music. The accuracy similarity of the big data music proposal model proposed in this study is improved by about 20% through experimental comparison when compared with the collaborative filtering model and the hybrid model. It reflects the efficiency, scalability, and stability of the music proposal system as well as the ability to meet users’ individual music needs.
Effects of Targeted Intervention plus Comprehensive Nursing on the Quality of Life and Nursing Satisfaction in Multiple Traumas
Authors: Zhang Xihong
Published: July 2022

Objective. To explore the effect of targeted intervention plus comprehensive nursing on quality of life and nursing satisfaction of patients with multiple traumas. Methods. Totally 68 cases with multiple traumas admitted to Xishan People’s Hospital from September 2018 to September 2019 were recruited and randomized into a control group and a study group via the random number table method, with 34 cases in each group. The control group received conventional nursing, and the study group adopted targeted intervention plus comprehensive nursing. Results. The study group showed significantly lower life scores and Hospital Anxiety and Depression Scale (HADS) scores after the intervention, as compared to the control group. The average Newcastle Nursing Service Satisfaction Scale (NSNS) scores, various self-care ability scores, and comprehensive self-care ability scores were higher than those of the control group. Significantly lower Numerical Rating Scale (NRS) scores were observed in the study group at 7 d and 10 d of intervention than those of the control group. Conclusion. Targeted intervention plus comprehensive nursing enhances the quality of life of patients and nursing satisfaction, which merits clinical promotion.
Efficacy and Satisfaction Evaluation of Rapid Rehabilitation Nursing Intervention in Patients with Laparoscopic Myomectomy
Authors: Song Rong , Chen Caifeng , Shang Li
Published: July 2022

Objective. To evaluate the efficacy and satisfaction of rapid rehabilitation nursing in patients with laparoscopic myomectomy. Methods. In this retrospective study, a total of 60 patients scheduled for a laparoscopic myomectomy in our hospital from January 2019 to February 2022 were enrolled and assigned at a ratio of 1 : 1 to receive either routine nursing (routine group) or rapid rehabilitation nursing (study group) according to different nursing methods. Outcome measures included nursing efficiency and nursing satisfaction. Results. Rapid rehabilitation nursing resulted in less intraoperative blood loss, shorter postoperative exhaust time and hospital stay, and a lower incidence of bladder irritation (

123.56
±
30.68

,

22.54
±
5.07

,

5.70
±
1.06

, and 4.55%) versus the routine nursing (

185.78
±
32.78

,

31.02
±
5.28

,

7.57
±
2.19

, 18.18%) (

P
<
0.05

). Rapid rehabilitation nursing was associated with a lower incidence of complications (3.33%) versus routine nursing (20.00%) (

P
<
0.05

). The eligible patients receiving rapid rehabilitation nursing showed a significantly higher satisfaction (96.67%) versus routine nursing (80.00%) (

P
<
0.05

). Conclusion. Rapid rehabilitation nursing is effective in the nursing of patients after laparoscopic myomectomy by minimizing the physical and mental stress of patients, shortening the length of hospital stay, reducing the occurrence of related complications, and boosting the quality of life of patients, so it is worthy of clinical application.
An Enhancement on Convolutional Artificial Intelligent Based Diagnosis for Skin Disease Using Nanotechnology Sensors
Authors: Aruna R Dr , K Srihari , Surendran S Dr , S Jagadeesan , K Somasundaram , Yuvaraj N Dr , S Deepa , E Udayakumar , K Shanmuganathan V , S Chandragandhi , Debtera Baru
Published: July 2022

Skin disease is the major health problem around the world. The diagnosis of skin disease remains a challenge to dermatologist profession particularly in the detection, evaluation, and management. Health data are very large and complex due to this processing of data using traditional data processing techniques is very difficult. In this paper, to ease the complexity while processing the inputs, we use multilayered perceptron with backpropagation neural networks (MLP-BPNN). The image is collected from the devices that contain nanotechnology sensors, which is the state-of-art in the proposed model. The nanotechnology sensors sense the skin for its chemical, physical, and biological conditions with better detection specificity, sensitivity, and multiplexing ability to acquire the image for optimal classification. The MLP-BPNN technique is used to envisage the future result of disease type effectively. By using the above MLP-BPNN technique, it is easy to predict the skin diseases such as melanoma, nevus, psoriasis, and seborrheic keratosis.
A realidade revisitada: as imagens de videovigilância como elemento de noticiabilidade na produção telejornalística
Authors: Torres Neto Antonio Pinheiro , Patrício Edgard
Published: July 2022

A cultura da vigilância espalha-se pela sociedade. Os processos de videomonitoramento, enquanto um dos seus elementos, alcançam diversos contextos. No jornalismo, o uso de imagens de câmeras de vigilância tem proporcionado novas dinâmicas para a publicização dos eventos cotidianos. Em meio às transformações midiáticas ocasionadas por tais dispositivos de visibilidade, buscamos neste artigo verificar em que medida o conceito de valor-notícia orienta a seleção jornalística de acontecimentos flagrados por equipamentos de videovigilância. Para isso, realizamos a análise de conteúdo de 53 edições do telejornal cearense CETV 1ª Edição. Por meio do estudo, constatamos, além da recorrência acentuada de situações noticiadas a partir de cenas capturadas por meio do videomonitoramento, a inexistência de evidências de valores-notícia que embasem a seleção dos fatos veiculados.
A catalogue, revision, and regional perspective of Eastern Palaearctic and Oriental oak gall wasps and their inquilines (Hymenoptera: Cynipidae: Cynipini, Synergini, Ceroptresini)
Authors: LOBATO-VILA IRENE , SALA-NISHIKAWA ALBA , MELIKA GEORGE , STONE GRAHAM N. , TANG CHANG-TI , YANG MAN-MIAO , FANG ZHIQIANG , ZHU YING , WANG YIPING , JUNG SUNGHOON , NICHOLLS JAMES A. , PUJADE-VILLAR JULI
Published: July 2022

Recent years have seen rapid advances in the study of Fagaceae-associated gall wasps (Hymenoptera: Cynipidae) of the Eastern Palaearctic and the Oriental (EPO) regions, for both the gall inducing Cynipini (commonly termed oak gall wasps though many species gall non-oak Fagaceae) and the predominantly inquiline tribes Synergini and Ceroptresini. This process has propagated some taxonomic errors and involves many taxa whose taxonomic status is uncertain. To provide a stable foundation for further advance, here we review the taxonomic status of the 212 species (133 oak gall wasps and 79 oak cynipid inquilines) that have been described or recorded in these regions. Of this total, we treat 171 as valid species names (103 oak gall wasps and 68 oak cynipid inquilines) in 20 genera; 22 as synonym names, 13 as incertae sedis, three as nomen dubium, and three as species inquirenda. Callirhytis kunugicola Shinji, 1944 is proposed as syn. nov. of C. kunugicola Shinji, 1943, as Shinji described the same species twice. For all valid species names, we provide taxonomic references, synonyms, and geographical distributions. We summarize what is known of host plant associations and gall locations for gall inducers, and host associations for inquilines. We discuss geographic patterns in the known richness of currently valid species for both groups of organisms, and place this in the context of the biogeography of available Fagaceae host plants. We provide a brief historical review of the study of oak gall wasps and their inquilines in the EPO regions.
Examining Preservice Teachers’ Conceptions of Teaching to Consider the Impact of Policymakers’ Neoliberal Reforms on Their Sensemaking of Their New Profession
Authors: Brown Christopher P. , Ku Da Hei , Barry David P. , Puckett Kate
Published: July 2022

Policymakers’ neoliberal education reforms have altered teaching and teacher education. These neoliberal policies reframe teaching and teacher education through conceptions of standards, academic achievement, data, and accountability. By doing so, many new and experienced teachers have left the field, and this has caused many who remain to question their ability to attain policymakers’ objectives and what it means to be a teacher. Yet, little is known about the impact of these neoliberal reforms on preservice teachers. In this article, we begin to attend to this issue by examining how a sample of preservice teachers made sense of their role as teachers and the profession they are entering. We then analyze whether such sensemaking reflects policymakers’ neoliberal framing of these constructs. Based on these findings, we outline opportunities for teacher educators to work with their preservice teachers to interpret, critique, and respond to policymakers’ neoliberal reforms.
Genealogy Beyond Critique: Foucault’s Discipline and Punish as Coalitional Worldmaking
Authors: Ilott Luke
Published: July 2022

Michel Foucault was an energetic activist, yet his bleak depiction of totalizing power and his refusal to make normative claims have led many to judge that Discipline and Punish (1975) did not sustain a positive political project. This article offers a new, contextualist account of Foucault’s political purposes by reading Discipline and Punish as a tool for coalition building through historical worldmaking. Addressing the division and marginalization of movements on France’s “alternative left” like feminism and gay liberation, Foucault wove together their differentiated concerns into a shared historical world. His apparently demoralizing identification of the same forms of power everywhere in fact revealed new possibilities for alliance. Focusing on Foucault’s unifying historical narratives reveals a positive project beyond the negative, denaturalizing “critique of power” we usually associate with his political thought. Foucault’s coalitional work of worldmaking may offer a model for genealogical political theory today.
WisRule: First cognitive algorithm of wise association rule mining
Authors: Khan Salma , Shaheen Muhammad
Published: July 2022

This article proposes a new algorithm for a newly emerging domain wisdom mining that claims to extract wisdom from data. Association rule mining is one of the dominant data mining techniques based on which a new algorithm called WisRule is proposed that generates both positive and negative association rules. These rules can be used for decision-making with less influence from a specialist. The existing algorithms of association rule extraction are based on the frequency of an itemset, which was introduced into the Apriori algorithm for the first time. In these algorithms, those itemsets are converted to the rules of the form Antecedent ⇒ Consequent that qualify the threshold of support, confidence and similar other measures. WisRule is proposed as an extension to the CBPNARM algorithm. WisRule produces both positive and negative association rules based on their frequency evaluated in a certain context (C), utility (U), time (T) and location (L). Rules that are valid in a given context, have high utility and are valid across multiple time intervals and locations become part of the final ruleset. The evaluation of a rule in these four dimensions is claimed as mining wisdom from the given data that is currently used as a hypothetical basis for a domain expert’s decision. WisRule is compared with the Apriori, PNARM and CBPNARM algorithms in terms of precision, recall, number of rules, average confidence, F-measure and execution time.
Primary Fixation and Cyclic Performance of Single-Stitch All-Inside and Inside-Out Meniscal Devices for Repairing Vertical Longitudinal Meniscal Tears
Authors: Bachmaier Samuel , Krych Aaron J. , Smith Patrick A. , Herbort Mirco , Ritter Daniel , LaPrade Robert F. , Wijdicks Coen A.
Published: July 2022

Background:

Primary device fixation and the resistance against gap formation during repetitive loading influence the quality of meniscal repair. There are limited biomechanical data comparing primary tensioning and cyclic behavior of all-inside versus inside-out repair.

Hypothesis:

All-inside devices provide higher initial load on the meniscal repair than inside-out fixation, and stiffer constructs show higher resistance against gap formation during cyclic loading.

Study Design:

Controlled laboratory study.

Methods:

In total, 60 longitudinal bucket-handle tears in human cadaveric menisci were created and repaired with a single stitch and randomly assigned to 4 all-inside groups (TrueSpan, FastFix 360, Stryker AIR, FiberStich) and 2 inside-out groups (suture repair [IO-S], suture tape [IO-ST]). Residual load after repair tensioning (50 N) and relief displacement were measured. Constructs underwent cyclic loading between 2 and 20 N over 500 cycles (0.75 Hz) with cyclic stiffness, gap formation, and final peak elongation measured. Ultimate load and stiffness were analyzed during pull to failure (3.15 mm/s).

Results:

All-inside repair demonstrated significantly higher primary fixation strength than inside-out repair. The significantly highest load (mean ± SD; 20.1 ± 0.9 N; P < .037) and relief displacement (–2.40 ± 0.32 mm; P < .03) were for the knotless soft anchoring FiberStich group. The lowest initial load (9.0 ± 1.5 N; P < .001) and relief displacement (–1.39 ± 0.26 mm; P < .045) were for the IO-S repair group. The final gap formation (500th cycle) of FiberStich (0.75 ± 0.37 mm; P < .02) was significantly smaller than others and that of the IO-S (1.47 ± 0.33 mm; P < .045) significantly larger. The construct stiffness of the FiberStich and IO-ST groups was significantly greater at the end of cyclic testing (16.7 ± 0.80 and 15.5 ± 1.42 N/mm; P < .042, respectively) and ultimate failure testing (23.4 ± 3.6 and 20.6 ± 2.3 N/mm; P < .005). The FastFix 360 (86.4 ± 4.8 N) and Stryker AIR (84.4 ± 4.6 N) groups failed at a significantly lower load than the IO-S group ( P < .02) with loss of anchor support. The FiberStich (146.8 ± 23.4 N), TrueSpan (142.0 ± 17.8 N), and IO-ST (139.4 ± 7.3 N) groups failed at significantly higher loads ( P < .02) due to suture tearing.

Conclusion:

Overall, primary fixation strength of inside-out meniscal repair was significantly lower than all-inside repair in this cadaveric tissue model. Although absolute differences among groups were small, meniscal repairs with higher construct stiffness (IO-ST, FiberStich) demonstrated increased resistance against gap formation and failure load.

Clinical Relevance:

Knotless single-stitch all-inside meniscal repair with a soft anchor resulted in less gapping, but the overall clinical significance on healing rates remains unclear.
Assessing the Performance of a Private Hospital in Nepal: Evidence from Pabon Lasso and Regression Models
Authors: Pandey Sujita , Daley Angela
Published: July 2022

There is limited empirical evidence on the relationship between management and performance of private hospitals in Nepal. We address this gap using de-identified inpatient data from a private hospital in Kathmandu between 2013 and 2017. We consider foreign-born and native-born patients separately, in addition to the full sample. Using a Pabon Lasso model, we assess relationship between hospital management and: (a) bed occupancy rate; (b) bed turnover rate; and (c) average length of stay. To complement the Pabon Lasso model, we use a regression analysis to assess the relationship between hospital management and length of stay in a multivariate framework. Our results indicate that separation between the chief executive officer (CEO) and board may promote better performance, versus CEO duality. However, there are important differences by performance indicator, patient type (i.e., native-born versus foreign-born) and analytical approach. These results comprise new evidence on the relationship between management and performance of private hospitals in a developing context.
Basic Income in Ireland: The Development of Two Pilots
Authors: Johnston Helen
Published: July 2022

This paper provides an overview of Irish dalliances with basic income over the last 40 years in the context of social security reform. A government Green Paper on Basic Income was published in 2002, but the proposals were never progressed. Now, the current 2020 Programme for Government contains a commitment to pilot basic income within the lifetime of the Government. It has transpired that two basic income schemes are being developed – a universal basic income scheme by the Government's Low Pay Commission and a sectoral basic income scheme for artists. The arts proposal is being led by the Green Party Minister for the Arts, a long-time advocate of basic income. The work of the Low Pay Commission is overseen by the Fine Gael leader and Minister for Employment, who has not traditionally supported basic income. Public discourse claims that these are separate proposals with a lack of clarity on whether they will be progressed separately, one will inform the other, or they will become integrated. The work in Ireland has drawn upon other basic income experiments taking place in Europe, especially the Finnish experience. The work to date can make a unique contribution to understanding basic income experimentation in Europe, especially through a government-led, twin-track approach.
Hybrid activism under the radar: Surveillance and resistance among marginalized youth activists in the United States and Canada
Authors: Lee Ashley
Published: July 2022

Social media and digital platforms have become essential tools for the new generation of youth activists. However, these tools subject youth to both new (and old) forms of surveillance and control. Drawing on in-depth interviews and social media walkthroughs with 61 youth activists, I examine hybrid tactics that these youth employ to resist surveillance and other forms of digitally mediated control as they participate in politics and social movements. I show that even in democracies like the United States and Canada, for individuals along intersecting axes of marginalization (e.g. race, gender), public political acts do not capture the full range of young people’s political repertoires. Young people, especially those from marginalized groups, adopt hidden, under-the-radar tactics in response to pressures of social, state, and corporate surveillance. I develop the concept of “digital infrapolitics” referring to the ways in which digital politics and activism go below the radar under surveillance and control.
A qualitative study of nurse-perceived barriers to body temperature management in postoperative patients
Authors: Kameda Norihiro
Published: July 2022

Although evidence-based practices exist for preventing hypothermia in patients during surgery, few studies have focused on this concern in postoperative patients. The aim of this qualitative study was to explore the most challenging issues experienced by surgical ward nurses while managing the body temperature of adult surgical patients. To address this research gap, this study used a qualitative descriptive design to document barriers to body temperature management as reported by a sample of 16 perioperative nurses. The semi-structured, face-to-face interviews were digitally recorded, transcribed verbatim and analysed using inductive content analysis. The main barriers fell into three categories: professional nursing ability limitations, unfavourable working conditions and management of human resources. The eight subcategories were disadvantageous professional views, professional knowledge limitations, low motivation to provide nursing care, non-standard treatment environment, inadequate equipment and care protocols, heavy nursing care loads, inadequate staff training and ineffective staff supervision. These findings highlighted the importance of adequate resources, proper education and evidence-based care protocols in the effective delivery of body temperature management to postoperative patients.
Rare epithelioid hemangioendothelioma in the brachiocephalic vein for long-term survival after surgery: A case report
Authors: Nakamura Yasuhito , Kumada Yoshitaka , Mori Akihiro , Kawai Norikazu , Ishida Narihiro , Kasugai Toshio , Ikeda Tsuneko
Published: July 2022

Epithelioid hemangioendothelioma (EHE) is a rare vascular tumor. In this report, we describe the case of a 62-year-old man who presented with pain in the left clavicle and swelling of the left upper limb. Contrast-enhanced computed tomography revealed an intravascular tumor, which was completely resected surgically. Histopathological examination and immunohistochemical staining revealed that it was epithelioid hemangioendothelioma with occurrence in the left brachiocephalic vein. It has been 6 years since the surgery was performed, and no recurrence has been observed. Epithelioid hemangioendothelioma may recur or metastasize and therefore requires careful follow-up.