bluuebunny/crossref_metadata_2025 huggingface dataset:
Association of Platelet-to-Lymphocyte Ratio with Stroke-Associated Pneumonia in Acute Ischemic Stroke
Authors: Li Wei , He Cailian
Published: March 2022

A common consequence of acute ischemic stroke (AIS), stroke-associated pneumonia (SAP), might result in a poor prognosis after stroke. Based on the critical position of inflammation in SAP, this study aimed to explore the correlation between platelet-to-lymphocyte ratio (PLR) and the occurrence of SAP. We included 295 patients with acute ischemic stroke, 40 with SAP, and 255 without SAP. The area under the receiver operating characteristic curve was used to determine the diagnostic value of SAP risk factors using binary logistic regression analysis. The comparison between the two groups showed that age, the baseline National Institutes of Health Stroke Scale (NIHSS) score, and the proportion of dysphagia, atrial fibrillation, and total anterior circulation infarct were higher, and the proportion of lacunar circulation infarct was lower in the SAP group (P < 0.001). In terms of laboratory data, the SAP group had considerably greater neutrophil counts and PLR, while the non-SAP group (P < 0.001) had significantly lower lymphocyte counts and triglycerides. Binary logistic regression analysis revealed that older age (aOR = 1.062, 95% CI: 1.023–1.102, P = 0.002), atrial fibrillation (aOR = 3.585, 95% CI: 1.605–8.007, P = 0.019), and PLR (aOR = 1.003, 95% CI: 1.001–1.006, P = 0.020) were independent risk factors associated with SAP after adjusting for potential confounders. The sensitivity and specificity of PLR with a cutoff value of 152.22 (AUC: 0.663, 95% CI: 0.606–0.717, P = 0.0006) were 57.5% and 70.6%, respectively. This study showed that high PLR is an associated factor for SAP in AIS patients. Increased systemic inflammation is linked to SAP in ischemic stroke. Inflammatory biomarkers that are easily accessible may aid in the diagnosis of high-risk SAP patients.
Experimental and Numerical Analysis of a High‐Rise Structure with a Dual FPS Isolation System
Authors: Duan Cunkun
Published: March 2022

Given the issues existing in the isolation technology of high‐rise structures, this study displays a thorough examination ponder of three control strategies incorporating numerical and experimental investigation on high‐rise structures, which include friction pendulum system (FPS) base isolation, the FPS inter‐storey isolation, and the FPS dual isolation. Depending on the third‐generation benchmark structure, a scaled 9‐storey finite element model is designed, and the matching model of FPS is outlined and fabricated, as required by the geometric similarity criteria. Four typical ground motions and four types of peak ground acceleration (PGA) are considered to investigate the dynamic response of three control strategies. The findings demonstrate that the FPS dual isolation technology can viably smother that acceleration of the top layer of the high‐rise structure, and the vibration reduction effect of the substructure will be additionally self‐evident. For high‐rise structures, the FPS dual isolation technology has a significant vibration decrease impact, not just during minor earthquakes but also even during vast earthquakes. The vibration reduction mechanism of FPS dual isolation technology combines tuned mass damper (TMD) and base isolation technology. Those inertial force drives of the superstructure suppress response from claiming substructure, and same time, substructure is the form of base isolation, which extends that structural period segregates the seismic vitality. The structural deformation can be spread between the lower isolation storey and the upper isolation storey, which effectively limits the floor displacement of the structure. The FPS dual isolation does not mainly reduce that essential mode response of the system and suppresses the response of the high‐order mode, which will be the primary reason behind the tremendous vibration decreased impact of the long‐period structure. Eventually, it is demonstrated that the finite element model can simulate the dynamic response of the FPS dual isolation system with acceptable accuracy and is suitable for further parametric analysis and comparison by comparing the numerical analysis with the experimental findings.
The Impact of Pharmacist-Managed Service on Warfarin Therapy in Patients after Mechanical Valve Replacement
Authors: Wu Chia-Wei , Wu Chien-Chih , Chen Chien-Hao , Lin Shin-Yi , Hsu Ron-Bin , Huang Chih-Fen
Published: March 2022

Objective. To evaluate the impact of pharmacist interventions on international normalized ratio (INR) control during the warfarin initiation phase after mechanical valve replacement. Methods. This was a retrospective cohort study conducted in a cardiovascular surgery ward in a tertiary hospital from August 1, 2015, to July 31, 2019. Patients aged ≥20 years who were admitted for mechanical valve replacement were enrolled in this study and further classified into conventional and pharmacist-managed warfarin therapy (PMWT) groups. All participants were prospectively followed up until the first outpatient appointment after valve replacement. The effectiveness outcomes were time in therapeutic range (TTR), time to therapeutic INR, number of patients with therapeutic INR at discharge and at first outpatient appointment, and length of hospital stay. The safety outcome was the number of patients with any supratherapeutic INR during the hospital stay. Multivariate logistic regression analyses were also used to determine the predictors of a therapeutic INR at discharge or with any supratherapeutic INR during admission. Results. A total of 39 and 33 patients were enrolled in the conventional and PMWT groups, respectively. At discharge, 18 patients (46.2%) in the conventional group and 24 patients (72.7%) in the PMWT group had achieved the therapeutic INR (P=0.023). Compared to the conventional group, fewer patients in the PMWT group had supratherapeutic INR during hospital stay (35.9% vs. 9.0%,P=0.008). No significant differences were found in TTR, time to therapeutic INR, number of patients with therapeutic INR at return appointment, and length of stay between the study groups. In the multivariate regression analyses, PMWT predicted achieving therapeutic INR at discharge (odds ratio (OR) and 95% confidence interval (CI), 3.14 [1.08–9.14]) and was inversely associated with supratherapeutic INRs during admission (OR = 0.21 [0.05–0.82]). Conclusions. Among patients admitted for mechanical valve replacement, the implementation of PMWT was associated with optimal therapeutic INR at discharge and no supratherapeutic INR during admission. Therefore, pharmacist participation is essential for improving the quality of warfarin therapy.
Floor Failure Characteristics in Deep Island Longwall Panel: Theoretical Analysis and Field Verification
Authors: Wang Pengpeng , Zhao Yixin , Ren Qingshan , Jiang Yaodong , Zhang Cun , Gao Yirui
Published: March 2022

Floor failure in deep coal mining above confined aquifers with high-water pressure may induce floor water inrush disasters. Considering the effects of mining stress and nonuniformly distributed water pressure, a mechanical calculation model of the island longwall panel in up-dip mining was established, and the stress distribution and floor failure characteristics were analyzed. The failure characteristics of the floor at NO. 2129 panel in Xingdong coal mine were detected by the borehole televiewer and microseismic monitoring system to validate the theoretical model. The results indicated that the floor failure characteristics along the strike and inclination of the island longwall panel in up-dip mining were “asymmetric inverted saddle-shaped” and “spoon-shaped,” respectively. The maximum floor failure depths before and after roof hydraulic fracturing (RHF) were 45.7 m and 29.1 m, respectively. The theoretical calculation results of the maximum depths of floor failure were 45.1 m and 29.9 m, respectively. The theoretical failure characteristics were consistent with those measured on site. The stress concentration magnitude and floor failure depth on the side of the isolated coal pillar were greater than those of other areas, and the water-inrush-prone zones were concentrated on the side of the isolated coal pillar near the intersection of the working face and the roadway. The research results could provide a certain reference for floor failure and water inrush mechanisms under complex geological conditions in deep mining.
Improved Chicken Reproduction and Yield of Improved Poultry from Titanium Dioxide (TiO2) Nanoparticles Coated in Jimma Horro Area of Kellem Wollega Zone, Ethiopia
Authors: Shuma Abdisa Soressa , Leta Tesfaye Jule , Saka Abel , Abraham Abdisa , Nagaprasad N. , Gudata Lamessa , Ramaswamy Krishnaraj
Published: March 2022

Current work was accompanied in Kellem Wollega Zones Jima Horro District, Western Ethiopia, to evaluate the reproduction and productive performances of titanium dioxide (TiO2) nanoparticles’ coated poultry. In the existence of sunlight as well as moistness, the titanium dioxide rusts and abolishes microorganisms (bacteria). The covering has been confirmed to decrease bacterial development. Once covered, the superficial remainders self-sanitized as it elongated as there is sufficient sunlight to galvanize the photocatalytic outcome. The middling poultry group scope per family was 12.04 heads. The overall middling time at first of local and improved chicken egg laying was 6.9 and six months, respectively. The overall hatchability and mortality were 82.3 and 41.1, respectively. The lowest chick mortality (39.8) was observed in Tribe Kebele (highland), and the highest clutches per year (2.96) were observed compared to other Kebeles (mid-altitude and low land). Poultry reproductivity is little, so diverse development approaches must be familiarized. The application of TiO2 nanoparticles in agriculture is a promising method in increasing fine and improved products.
The Application of Orthogonal Wavelet Transformation: Support Vector Data Description in Evaluating the Performance and Health of Bearings
Authors: Li Weipeng , Cao Yan , Li Lijuan , Hou Siyu
Published: March 2022

Support vector data description (SVDD) is common supervised learning. Its basic idea is to establish a closed and compact area with the objects to be described as integrity. The described objects are all included within the area or as far as possible. In contrast, other objects are excluded out of the area as far as possible. The inherent nature and laws of data are subsequently revealed, thereby distinguishing the operation state of the machine. In this paper, an orthogonal wavelet transformation‐support vector data description (OWTSVDD) is proposed to evaluate the performance of bearings, where the peak‐to‐peak value of detail signal is extracted through orthogonal wavelet transformation as the set of test samples, thus solving the distance Rz from the set of test samples to the center of the sphere. Based on , its distance to the hypersphere is calculated to judge whether it belongs to the normal state training samples. Finally, the performance and health of bearings are evaluated with HI. According to the classification of two sets of experimental data of rolling bearings, the proposed method better reflects the degeneration of bearing’s performance compared with the (SVDD) HI value without extraction of characteristic value, being entirely able to evaluate the entire life cycle of bearings from normal operation to fault and degradation. The HI evaluation result based on experimental data in Xi’an Jiaotong University is consistent with the life‐cycle vibration signal of bearings, providing a scientific basis for production and equipment management and improving the prognostics technology‐centered prognostics and health management (PHM).
Machine Learning and Cloud-Based Knowledge Graphs to Recognize Suicidal Mental Tendencies
Authors: Gunjan Vinit Kumar , Vijayalata Y. , Valli Susmitha , Kumar Sumit , Mohamed M. O. , Saravanan V.
Published: March 2022

To improve the quality of knowledge service selection in a cloud manufacturing environment, this paper proposes a cloud manufacturing knowledge service optimization decision method based on users’ psychological behavior. Based on the characteristic analysis of cloud manufacturing knowledge service, establish the optimal evaluation index system of cloud manufacturing knowledge service, use the rough set theory to assign initial weights to each evaluation index, and adjust the initial weights according to the user’s multiattribute preference to ensure that the consequences are allocated correctly. The system can help counselors acquire psychological knowledge in time and identify counselors with suicidal tendencies to prevent danger. This paper collected some psychological information data and built a knowledge graph by creating a dictionary and generating entities and relationships. The Han language processing word segmentation tool generates keywords, and CHI (Chi-square) feature selection is used to classify the problem. This feature selection is a statistical premise test that is acceptable when the chi-square test results are distributed with the null hypothesis. It includes the Pearson chi-square test and its variations. The Chi-square test has several benefits, including its distributed processing resilience, ease of computation, broad information gained from the test, usage in research when statistical assumptions are not satisfied, and adaptability in organizing information from multiple or many more group investigations. For improving question and answer efficiency, compared with other models, the BiLSTM (bidirectional long short-term memory) model is preferred to build suicidal tendencies. The Han language processing is a method that is used for word segmentation, and the advantage of this method is that it plays a key role in the word segmentation tool and generates keywords, and CHI (Chi-square) feature selection is used to classify the problem. Text classifier detects dangerous user utterances, question template matching, and answer generation by computing similarity scores. Finally, the system accuracy test is carried out, proving that the system can effectively answer the questions related to psychological counseling. The extensive experiments reveal that the method in this paper’s accuracy rate, recall rate, and F1 value is much superior to other standard models in detecting psychological issues.
Image Compression Based on Hybrid Domain Attention and Postprocessing Enhancement
Authors: Bao Yuting , Tao Yuwen , Qian Pengjiang
Published: March 2022

Deep learning-based image compression methods have made significant achievements recently, of which the two key components are the entropy model for latent representations and the encoder-decoder network. Both the inaccurate estimation of the entropy estimation model and the existence of information redundancy in latent representations lead to a reduction in the compression efficiency. To address these issues, the study suggests an image compression method based on a hybrid domain attention mechanism and postprocessing improvement. This study embeds hybrid domain attention modules as nonlinear transformers in both the main encoder-decoder network and the hyperprior network, aiming at constructing more compact latent features and hyperpriors and then model the latent features as parametric Gaussian-scale mixture models to obtain more precise entropy estimation. In addition, we propose a solution to the errors introduced by quantization in image compression by adding an inverse quantization module. On the decoding side, we also provide a postprocessing enhancement module to further increase image compression performance. The experimental results show that the peak signal-to-noise rate (PSNR) and multiscale structural similarity (MS-SSIM) of the proposed method are higher than those of traditional compression methods and advanced neural network-based methods.
Experimental Study on Energy Dissipation of Saturated Mudstone in Coal Mine under Impact Loading
Authors: Guo Liangjie , Wang Yongyu
Published: March 2022

The influence of blasting energy on blasting fragmentation and damage of reserved rock is important for safety and schedule of drill-blasting construction in coal mine. This study is aimed at investigating the dynamic mechanical properties of mudstone in coal mine using the energy characterization method, and their quantitative relation formula was also developed. The impact compression experiments of mudstone in Huainan mining area were conducted to study the saturated mudstone dynamic mechanism, crack properties, and energy dissipation law using the diameter 50 mm split Hopkinson pressure bar (SHPB). The results show that under the back-and-forth reflection of the stress wave, the saturated mudstone specimens are characterized by circumferential failure and axial splitting damage, which appear in the rock grain interface. By energy analysis, the energy dissipation per volume (EDV), energy dissipation per mass (EDM), and absorption impedance energy ratio (AIER) are used to represent the energy dissipation characteristic of mudstone. And the AIER is the best index. Additionally, there is the quadratic function relationship between three indexes and average strain ratio, showing the dependence of the strain ratio.
An Unusual Presentation of Glandular Fever
Authors: Worku Dominic , Chang Li Hui , Blyth Ian
Published: March 2022

Epstein-Barr virus (EBV) is an ubiquitous DNA herpesvirus with >90% of adults >40 years of age showing a serological response. While in their youth, primary EBV infection may pass unnoticed, young adults have a high incidence of infectious mononucleosis (IM). This is characterized by a triad of pharyngitis, cervical lymphadenopathy, and fever because of a self-limiting lymphoproliferative disease. Common complications include but are not limited to hepatitis, splenomegaly, encephalitis, and haemophagocytic lymphohistiocytosis (HLH) with evidence that Caucasian males and smokers are more likely to suffer severe disease. Here we present a 21-year-old male who presented with a 2-week history of fever, dry cough, and a 4-week history of pharyngitis. He had no exposure to unwell contacts and denied any new sexual partners. Examination revealed general pallor with tender bilateral cervical lymphadenopathy and pharyngeal erythema. Admission bloods revealed pancytopenia (WCC 1.5 × 109/L, Plt 84 × 109/L, and Hb 82 g/L) with normal reticulocyte count and raised mean corpuscular volume (114 fL). Serum vitamin B12 and folate were low with serum ferritin raised (1027 µg/L) suggesting a proinflammatory state. Admission liver function tests, coeliac serology, autoimmune panel (ANA, ANCA, and anti-dsDNA), hepatitic (hepatitis A, B, and E), human immunodeficiency virus (HIV), toxoplasmosis, parvovirus, and CMV serology were normal. The monospot test on day 1 of the presentation was negative. Ultrasound (US) of the abdomen on day 3 of the presentation revealed isolated splenomegaly (16.8 cm). Day 4 EBV serology (VCA IgM, VCA IgG, and EBNA IgG) was negative as such haematological investigations including JAK2, serum free light chains, and BCR-ABL were undertaken alongside cervical lymph node core biopsy. Repeat Monospot testing on day 7 came back positive. Repeat EBV serology now showed equivocal EBV VCA IgG (0.77 OD) and positive VCA IgM (9.04 OD) with concurrent new hepatitis. Histopathology of the core biopsy revealed Sternberg-reed cells and a mixed immunoblastic reaction in keeping with resolving IM. This case highlights the need for physicians to have a strong clinical suspicion of IM and understand the multiple ways in which IM may be present as well as the time lag to positivity in serological testing.
Adaptive Mixed‐Attribute Data Clustering Method Based on Density Peaks
Authors: Liu Shihua
Published: March 2022

The clustering of mixed‐attribute data is a vital and challenging issue. The density peaks clustering algorithm brings us a simple and efficient solution, but it mainly focuses on numerical attribute data clustering and cannot be adaptive. In this paper, we studied the adaptive improvement method of such an algorithm and proposed an adaptive mixed‐attribute data clustering method based on density peaks called AMDPC. In this algorithm, we used the unified distance metric of mixed‐attribute data to construct the distance matrix, calculated the local density based on K‐nearest neighbors, and proposed the automatic determination method of cluster centers based on three inflection points. Experimental results on real University of California‐Irvine (UCI) datasets showed that the proposed AMDPC algorithm could realize adaptive clustering of mixed‐attribute data, can automatically obtain the correct number of clusters, and improved the clustering accuracy of all datasets by more than 22.58%, by 24.25%, by 28.03%, by 22.5%, and by 10.12% for the Heart, Cleveland, Credit, Acute, and Adult datasets compared to that of the traditional K‐prototype algorithm, respectively. It also outperformed a modified density peaks clustering algorithm for mixed‐attribute data (DPC_M) algorithms.
Coordination and Optimization of Long-Distance Passenger Departure Timetable Connected to High-Speed Railway Station: Considering the Heterogeneity of Transfer Passengers Demand
Authors: Zhang Bing , Zhou Dandan , Huang Nana , Zhou Xun , Ni Xunyou
Published: March 2022

Optimizing the departure timetable of long-distance passenger transport connected to high-speed railway stations can not only improve the attractiveness of long-distance passenger transport, reduce the loss of passengers, but also alleviate the pressure of passenger flow accumulation caused by uneven arrival of high-speed railways. Considering the demand heterogeneity of high-speed railway outbound transfer passengers and analyzing the characteristics of transfer travel time, a multiobjective optimization model with unequal interval departures is established. The model takes the minimum total cost and the highest transport capacity as the goal, with the constraints of the departure interval, the waiting time of the stranded passengers, the amount of passenger loss, etc., to optimize the adjustment of the departure interval and the number of departures for long-distance passenger transport and to answer it with the help of Matlab and Lingo software. The calculation results show that the optimized timetable strengthens the synchronous connection with the arrival of small peaks of passenger flow and improves the matching degree of transportation capacity and passenger flow demand. The total passenger transfer time after optimization is reduced by 10.53 h, and the transfer time per capita is reduced by 189.54 s.
Drivers of Student Entrepreneurial Intention and the Moderating Role of Entrepreneurship Education: Evidence from an Indian University
Authors: Akhtar Samreen , Albarrak Mansour Saleh , Ahmad Alam , Akram Hafiz Wasim , Ciddikie Mohammad Daoud
Published: March 2022

This study is an effort for measuring the entrepreneurial orientation of the students and its linkage with their entrepreneurial intention. The study is based on entrepreneurial dimensions such as innovativeness, need for achievements, opportunity recognition, risk‐taking propensities, and entrepreneurship education. The study also used entrepreneurship education and gender as moderating variables. A 5‐point Likert‐type scale was designed by adapting the Individual Entrepreneurial Orientation measurement scale and Entrepreneurial Intention Questionnaire (EIQ). The authors postulated 7 hypotheses. Data analysis confirmed that underlying entrepreneurial dimensions have a positive correlation with students’ entrepreneurial intention. This paper concludes that entrepreneurial dimensions and proper delivery of entrepreneurship education will help the students in transforming their entrepreneurial intention into actual entrepreneurial action.
Comparative Analysis of a Super-Wideband Millimeter Wave Array Antenna for Body-Centric Communications
Authors: Alharbi Abdullah G. , Khan Mohammad Monirujjaman , Islam Kaisarul , Alam Shovon Md. Nakib , Abbasi Mohammad Inam , Bourouis Sami , Hussein Hany S. , Alshazly Hammam , Slimani Thabet
Published: March 2022

The future of wireless technology is moving towards millimeter wave bands due to a surge in the use of wearable gadgets in current wireless bands. The 60 GHz band is unlicensed around the world and has gathered high research interest. At this band, the atmospheric absorption is very high, which results in short-range communication. High gain antennas are a core requirement for operating at 60 GHz. In this paper, we are proposing three different arrays consisting of 2, 3, and 4 elements of a novel patch design. The radiating patch consists of a semicircular disc fed by a microstrip feed line. The ground plane has been etched into a novel shape. The radiator and the ground plane are attached to a 1.5 mm thick FR-4 substrate which has a relative permittivity of 4.3. The radiating elements are connected linearly to form arrays. In free space, all three arrays achieved a very wide bandwidth of more than 20 GHz, and the maximum gain varied from 3.44 dBi to 6.2 dBi. The arrays were also simulated under human body conditions by modelling a three-layer phantom. At different distances from the phantom, the maximum gain increased by more than 1 dBi. The antenna shows 4.855 dBi, 5.032 dBi, and 6.66 dBi gain for 2 array, 3 array, and 4 array, respectively, when simulated on the three-layer human model phantom. The antenna has a very good VSWR value for all three array structures. On the human body phantom, the proposed antenna design in this research shows 1.214, 1.120, and 1.023 VSWR values for 2 array, 3 array, and 4 array, respectively. The efficiencies were highly affected, as expected from patch antennas. The simulation results are obtained from CST Microwave Studio.
A Teaching Model Combining Aesthetic Education and Action Education Based on Cluster Mining under the Background of Big Data
Authors: Zhang Xiaomei
Published: March 2022

Aesthetic education is an important part of education. However, sports action teaching and aesthetic education are closely combined. This paper discusses the important role of aesthetic education in action teaching through the relationship between action education and aesthetic education. And put forward how to cultivate students’ ability of feeling beauty, understanding beauty, and expressing beauty through various aesthetic education means such as teachers’ aesthetic education ability, optimizing teaching process and beautifying teaching environment. Based on the research of aesthetic education and action education, this paper mainly uses data mining methods, such as statistical analysis and clustering, to further mine the patterns and events obtained before, so as to form a higher level of semantics. From the two directions of motion recognition algorithm and continuous motion segmentation, the feature classification method based on depth and joint data and the segmentation algorithm based on sliding window are studied to achieve the research purpose. In the experimental part, the algorithm is tested and analyzed based on the action data set, and the correctness and effectiveness of the algorithm are verified.
Applications of q‐Derivative Operator to the Subclass of Bi‐Univalent Functions Involving q‐Chebyshev Polynomials
Authors: Khan Bilal , Liu Zhi-Guo , Shaba Timilehin Gideon , Araci Serkan , Khan Nazar , Khan Muhammad Ghaffar
Published: March 2022

In recent years, the usage of the q‐derivative and symmetric q‐derivative operators is significant. In this study, firstly, many known concepts of the q‐derivative operator are highlighted and given. We then use the symmetric q‐derivative operator and certain q‐Chebyshev polynomials to define a new subclass of analytic and bi‐univalent functions. For this newly defined functions’ classes, a number of coefficient bounds, along with the Fekete–Szegö inequalities, are also given. To validate our results, we give some known consequences in form of remarks.
A Proposed Comparative Algorithm for Regional Crop Yield Assessment: An Application of Characteristic Objects Method
Authors: Habeeb Rimsha , Hussain Ijaz , Al-Ansari Nadhir , Sammen Saad Sh.
Published: March 2022

The agriculture sector plays a vibrant role in the economic prosperity of advanced and developing countries. It is a crucial source of revenue for the majority of the population. Nevertheless, unfortunately, in Pakistan, the share of the agricultural sector in Gross Domestic Product (GDP) is gradually declining. Therefore, comprehensive strategies and actions need to be developed and implement to enhance the agricultural productivity of Pakistan. In this study, an attempt has been made to examine the crop yield revenue of Punjab, Pakistan, by ranking the districts according to their contribution to the agricultural GDP of Pakistan's economy. A Multi-Criteria Decision Making (MCDM) technique, namely, characteristic objects method (COMET), which is entirely free of the rank reversal paradox, is used for this purpose. However, to make a fair comparison, in this research, a comprehensive framework is proposed to normalize the crop yield revenue of Punjab under probabilistic nature. The proposed framework is applied to various districts of Punjab, Pakistan, from 1992 to 2019. It is concluded that Jhang, Faisalabad, and Rahim Yar Khan (RYK) are the highest-ranked districts, while Nankana Sahib, Rawalpindi, and Islamabad are the lowest-ranked districts of Punjab, Pakistan, according to their contribution to the agricultural GDP of Pakistan's economy. Outcomes associated with this research would be helpful to build precise and accurate budget allocation policies.
Deep Learning Models and Social Governance Guided by Fair Policies
Authors: Wang Kai , Wang Zhen
Published: March 2022

With the rapid advancement of information technology, artificial intelligence and machine learning have become the central technology tools for information sharing. To speed up the efficiency of information resource transmission of national government departments and improve the informatization level of government social management and public service systems, the persona system is designed using an artificial neural network, and a social service and management resource pool system is developed. The behavior data randomly generated by users in daily life is collected and cleaned, and training samples are extracted for training an artificial neural network. Next, the demographic attribute tags and interest tags are modelled, and the social service and management resource pool system is built and tested. Results show that for the population attribute label construction, the index value using the app name is mapped to 0 or 1, and the sample sampling ratio is set to 1.0. The proposed model achieved the overall accuracies of 85.2%, 74.5%, and 99.0% for the prediction of constructed age, academic qualifications, and interest label, respectively. The constructed system greatly deepens the visualization of the characteristics of social governance elements. The system can enhance the level of resource sharing by government departments and provide the foundation for spatial decision-making in smart social governance.
Application Analysis of the Machine Learning Fusion Model in Building a Financial Fraud Prediction Model
Authors: Xu Hongsheng , Fan Ganglong , Song Yanping
Published: March 2022

Financial data fraud by listed companies has brought an extremely bad impact on the market and society. Predicting the financial data fraud of listed companies in advance may reduce losses. Therefore, the key to solving the problem is to build a financial fraud prediction model. This paper analyzes the prediction and identification models of financial fraud at home and abroad in detail, and finds the problems existing in these prediction models. In view of these shortcomings, this paper proposes to build a financial fraud prediction model based on a machine learning fusion model. The first is the unbalanced processing of data samples. The oversampling method is used to improve the model prediction effect by setting a reasonable sampling ratio. Then, four machine learning models (GBDT, random forest, support vector machine, and decision tree) are selected suitable for financial data. The training set is used to optimize the hyperparameters of the four machine learning models separately. This paper proposes integrating the random search and grid search mechanisms to adjust the parameters to the optimum. Finally, a financial fraud prediction model is constructed based on the multimodel fusion of the integrated learning framework. First, the base learner integrates the predicted results of the four models and performs five-fold crossvalidation on the training set. The meta-learner then uses the GBDT model to train integrated data from the first layer, resulting in a fusion model. The experimental results show that the AUC value of the fusion model is significantly higher than that of the single model. Therefore, the fusion model proposed in this paper can effectively improve the prediction effect.
GABPB1-AS1 Promotes the Development of Osteosarcoma by Targeting SP1 and Activating the Wnt/β-Catenin Pathway
Authors: Chen Jingyang , Bian Meiru , Pan Lingxiao , Liu Chengdong , Yang Hanshi
Published: March 2022

In this study, the role of GABPB1-AS1 in osteosarcoma (OS) was analyzed. The expression of GABPB1-AS1 in different OS cell lines U2OS, HOS, MG63, and hFOB1.19 was detected. SiRNA GABPB1-AS1 was transfected with U2OS and HOS cell lines. The effects of GABPB1-AS1 silencing on proliferation, clonal formation, and migration of U2OS and HOS were detected by CCK-8 method, plate cloning method, and Transwell chamber. Western blot analysis was used to detect the protein levels of SP1, Wnt, β-catenin, c-Myc, and SOX2 in osteosarcoma cells. The binding relationship between GABPB1-AS1 and miR-199a-3p in OS cells was detected by a dual-luciferase reporter gene assay. Results showed that GABPB1-AS1 was higher in OS cells than that in hFOB1.19. Silencing GABPB1-AS1 inhibited the proliferation, clonal formation, migration, and epithelial-mesenchymal transformation of U2OS and HOS. There was a binding relationship between GABPB1-AS1 and miR-199a-3p in OS cells. GABPB1-AS1 mediated osteosarcoma cells via the SP1/Wnt/β-catenin signaling pathway. This study suggested that GABPB1-AS1 plays a carcinogenic role in OS through the SP1/Wnt/β-catenin signaling pathway through competitive binding and inhibition of miR-199a-3p.
miR-23a-3p Regulates Runx2 to Inhibit the Proliferation and Metastasis of Oral Squamous Cell Carcinoma
Authors: Ma Yu , Gao Jinbo , Guo Hongning
Published: March 2022

Objective. To investigate the effects of microRNA-23a (miR-23a-3p) and Runx2 on malignant progression of oral cancer cells and their possible molecular mechanisms. Methods. Fluorescence quantitative PCR (qPCR) was used to detect the expression of miR-23a-3p and Runx2 in human oral squamous cell carcinoma tissues and paracancerous tissues. The dual luciferase reporter assay was used to evaluate the targeted regulation of miR-23a-3p on Runx2. A subcutaneous xenograft model was established to investigate the tumor-suppressive effect of miR-23a-3p. Cells were transfected with miR-23a-3p mimics and negative control NC. CCK-8 assay, EDU assay, Transwell assay, and clone formation assay were used to detect malignant evolution of cells. Western blotting was used to detect the expression of Runx2, PTEN, and PI3K/Akt. The cells were simultaneously transfected with miR-23a-3p mimics and Runx2 to detect the malignant evolution of cells. Results. The expression of miR-23a-3p was downregulated in oral squamous cell carcinoma tissues, while the expression of Runx2 was upregulated. Overexpression of miR-23a-3p or inhibition of Runx2 inhibited the malignant progression of oral squamous cell carcinoma CAL-27 and TSCCA. Overexpression of miR-23a-3p inhibits the growth of oral cancer tumors. miR-23a-3p inhibits the PTEN/PI3K/Akt signaling pathway through Runx2. Overexpression of Runx2 reverses the tumor-suppressive effect of miR-23a-3p. Conclusion. miR-23a-3p can inhibit the PI3K/Akt signaling pathway by targeting Runx2 and inhibit the malignant evolution of oral cancer.
Improved Driveway Design for Superblocks to Reduce the Crash Risk
Authors: Zhuo Xi , Prevedouros Panos D. , Zhang Yongqiang , Lu Changtai , Xiao Yuxin , Zheng Weifan
Published: March 2022

The superblock has become a typical land use in China and many growing Asian cities. Superblock access points generate traffic congestion and many conflicts among all road users. Driveway design is a critical process and has a major impact on traffic conditions around superblocks. There are various guidelines for the two key factors for driveway design, driveway width and curb radius, but they provide reference values corresponding to traffic volume and speed; these are not sufficient for managing the complex traffic environment around superblocks. To improve driveway design, we develop detailed access point design models that account for conflicts between turning and through motorized vehicles, conflicts between motorized and nonmotorized traffic, speed differential larger than 10 km/h, and lane encroachments of entering and exiting vehicles. The crash risk models evaluate and optimize the combination of driveway width and curb radius with respect to three traffic safety indexes: traffic conflict, lane encroachment, and speed differential. A case study evaluation shows that the updated driveway design models produce a lower crash risk; seven of the ten driveways improved by 16.14% or more. The updated driveway design for superblocks would be beneficial for analyzing, permitting, and managing traffic operations at superblocks and oversized development with many and complex driveways.
Hydrodynamic and Geostress Controls on CBM Enrichment in the Anze Block, Southern Qinshui Basin, North China
Authors: Liu Dameng , Zhao Zheng , Jin Xiaoming , Yang Chao , Chen Wei , Cai Yidong , Qiu Yongkai , Lu Yuejian , Zhou Yingfang
Published: March 2022

The coalbed methane (CBM) resource in the southern Qinshui Basin, North China, is abundant. Proper understanding of the geological control factors on CBM enrichment in Anze Block of southern Qinshui Basin is critical to design efficient CBM development plan in this area. Field and laboratory data including well logging, well testing, hydraulic fracturing, and groundwater chemical analysis of were used to evaluate the characteristics of the hydrodynamic and geostress, and then, the combined effect of hydrodynamic and geostress field on CBM enrichment was analyzed. The results show that the total dissolved solids (TDS) of groundwater in the west is generally lower than that in other areas in the block, and the primary formation water is NaHCO3-type. The geostress field shows a

σ

H

>

σ

v

>

σ

h

dominated geostress type in this area, and the western block has a lower value than the eastern block. The strong hydrodynamic field with low TDS also has a lower gas content while the weak hydrodynamic field with high TDS has a higher gas content. Both the TDS value and the horizontal stress differences are positively related to the gas content, indicating that inactive hydrodynamics and large horizontal stress difference of coal reservoir is favorable for CBM preservation.
Combination Immunosuppressive Therapy in Primary Autoimmune Inner Ear Disease in Pregnancy
Authors: Ananthapadmanabhan Saikrishna , Jabbour Joe , Brown David , Sivapathasingam Vanaja
Published: March 2022

Objective. Autoimmune inner ear disease (AIED) is a rare disorder characterized by rapidly progressive, sensorineural hearing loss that demonstrates good responsiveness to corticosteroid and immunosuppressive therapy. The pathophysiology is likely driven by chronic trafficking of immune cells into the inner ear, targeting inner ear proteins to coordinate inflammation. Suppression or modulation of the immune response can minimize cochleitis allowing for potential recovery of hearing. It is an otologic emergency requiring a multidisciplinary approach to management to commence immunosuppressive therapy. This can be achieved using steroids, immunomodulators, plasmapheresis, intravenous immunoglobulin, or biologic agents. Treatment decisions are further complicated in pregnancy and require supervision by an obstetrician and maternal-fetal medicine (MFM) specialist. Concerns include safe dosing of steroids and potential for transplacental migration of immune complexes. We provide the first comprehensive literature review on AIED and its implications in pregnancy. We frame our discussion in the context of the second reported case of primary AIED in pregnancy and the first to show excellent response to immunosuppressive therapy. Methods. We reviewed the presented case and literature on AIED. Results. A 27-year-old, pregnant, HSP-70 positive woman was diagnosed with AIED and had excellent recovery of hearing and balance following a combination of steroid treatment, augmented by oral immunomodulators, plasmapheresis, and IVIG. Conclusion. AIED is a diagnostic challenge, and treatment considerations are complex when encountered in pregnancy. Management requires multidisciplinary involvement between otolaryngologists, immunologists, and obstetricians to balance maternal and fetal health outcomes.
Influence of Water Content on the Mechanical Characteristics of Mudstone with High Smectite Content
Authors: Chen Feng , Sun Xiaoming , Lu Hao
Published: March 2022

Water content plays an important role in strength of mudstone; many works pay more attention to the strength of dry and saturated rocks. In this study, the water absorption characteristics of mudstone were obtained by a computer-automated WA (water absorption) equipment system experiments. The complete stress–strain curves and UCS (unconfined compress strength) and

E

(Young’s modulus) of mudstone samples under different water contents were achieved by using the WEP-600 microcomputer-control screen universal testing machine. SEM (scanning electron microscope) test were carried out to study the microstructure characteristics of mudstone samples under different water contents. The results showed that the water absorption process of mudstone consists of three stages. The UCS and

E

of the mudstone samples markedly decrease with water content increasing. Based on the experimental results and analysis, a porous medium mechanical model of the mudstone was established and a deeper understanding of water-induced strength damage mechanism of the mudstone was achieved.
Manual Compression versus Suture-Mediated Closure Device Technique for VA-ECMO Decannulation
Authors: Scherer Clemens , Stremmel Christopher , Lüsebrink Enzo , Stocker Thomas J. , Stark Konstantin , Schönegger Carmen , Kellnar Antonia , Kleeberger Jan , Hanuna Maja , Petzold Tobias , Peterss Sven , Braun Daniel , Hausleiter Jörg , Hagl Christian , Massberg Steffen , Orban Martin
Published: March 2022

Background. The impact of devices for vessel closure on the safety and efficacy of cannula removal in VA-ECMO patients is unknown. Methods. We retrospectively analyzed 180 consecutive patients weaned from VA-ECMO after cardiac arrest or cardiogenic shock from January 2012 to June 2020. In the first period (historical technique group), from January 2012 to December 2018, primary decannulation strategy was manual compression. In the second period (current technique group), from January 2019 to June 2020, decannulation was performed either by a conventional approach with manual compression or by a suture-mediated closure device technique. Results. A femoral compression system was necessary in 71% of patients in the historical group compared to 39% in the current technique group (

p

 < 0.01). Vascular surgery was performed in 12% in the historical cohort and 2% in the current technique cohort, which indicated a clear trend, albeit it did not reach significance (

p

 = 0.07). Conclusion. We illustrated that a suture-mediated closure device technique for VA-ECMO decannulation was feasible, safe, and may have reduced the need of surgical interventions compared to manual compression alone.
Inflammatory Response-Related Long Non-Coding RNA Signature Predicts the Prognosis of Hepatocellular Carcinoma
Authors: Li Xinyu , Zhang Shuqiao , Zhang Shijun , Kuang Weihong , Tang Chunzhi
Published: March 2022

Background. Hepatocellular carcinoma (HCC) is a high mortality malignant tumor with genetic and phenotypic heterogeneity, making predicting prognosis challenging. Meanwhile, the inflammatory response is an indispensable player in the tumorigenesis process and regulates the tumor microenvironment, which can affect the prognosis of tumor patients. Methods. Using HCC samples in the TCGA-LIHC dataset, we explored lncRNA expression profiles associated with the inflammatory response. The inflammatory response-related lncRNA signature was constructed by univariate Cox regression, LASSO regression, and multivariate Cox regression methods based on inflammatory response-related differentially expressed lncRNAs in HCC. Results. Seven inflammatory response-related lncRNA signatures were identified in predicting HCC prognosis. Kaplan–Meier (K-M) survival analysis indicated that high-risk group HCC patients were associated with poor prognosis. The utility of the inflammatory response-related lncRNA signatures was proved by the AUC and DCA analysis. The nomogram further confirmed the accuracy of the novel signature in predicting HCC patients’ prognoses. In validation, our novel signature is more accurate than traditional clinicopathological performance for prognosis prediction of HCC patients. GSEA analysis further elucidated the underlying mechanisms and pathways of HCC progression in the low- and high-risk groups. Moreover, immune cells infiltration responses and immune function analyses revealed a significant difference between high- and low-risk groups in cytolytic activity, MHC class I, type I INF response, type II INF response, inflammation-promoting, and T cell coinhibition. Finally, HHLA2, NRP1, CD276, TNFRSF9, TNFSF4, CD80, and VTCN1 were expressed higher in high-risk groups in the immune checkpoint analysis. Conclusions. A novel inflammatory response-related lncRNA signature (AC145207.5, POLHAS1, AL928654.1, MKLN1AS, AL031985.3, PRRT3AS1, and AC023157.2) is capable of predicting the prognosis of HCC patients and providing new immune targeted therapies insight.