bluuebunny/crossref_metadata_2025 huggingface dataset:
Novel DNA Damage-Related Subtypes Characterization Identifies Uterine Corpus Endometrial Carcinoma (UCEC) Based on Machine Learning
Authors: Yu Qi , Ge Xinqi , Wang Zheng , Ding Shu , Jin Yunfeng , Chen Liping
Published: August 2022

Objective. Accumulating evidence suggests that DNA damage is associated with numerous gynecological illnesses, particularly advanced uterine corpus endometrial carcinoma (UCEC), illustrating the involvement of the DNA damage pathway in the advancement of UCEC. This research aimed to discover a robust subtype with the potential to contribute to the scientific treatment of UCEC. Methods. In this work, the expression patterns of prognostic DNA damage-related genes were curated, and consensus clustering analyses were undertaken to determine DNA damage subtypes in patients with UCEC in the TCGA cohort. Two DNA damage-related subtypes were identified for further investigation. Differentially expressed genes (DEGs) analysis, gene ontology analysis, mutation analysis, and immune cell infraction analysis were performed to find the molecular mechanism behind it. Finally, the polymerase chain reaction (PCR) was conducted to verify the correlation of the hub genes. Results. In total, 545 patients with UCEC were tested for two distinct DNA damage subtypes. The clinical prognosis was poorer among patients with DNA damage subtype 2 than those in subtype 1. The DEGs analysis and PPI analysis showed that ASMP, BUB1, CENPF, MAD2L1, NCAPG, SGO2, and TOP2A were expressed higher in UCEC tissues than in the normal tissues. Immune cell infraction analysis showed that hub genes were associated with the tumor microenvironment (TME). Conclusion. Altogether, our research identified two distinct DNA damage subtypes that are complicated and heterogeneous. A better knowledge of the characteristics of the TME may be gained by quantitative measurement of DNA damage subtypes in individual patients, which can also lead to the development of more successful treatment regimens.
Teaching and Learning of Queer Representation in Sri Lankan English Fiction: A Reception Study within Higher Education Institutions of Sri Lanka
Authors: De Costa Merinnage Nelani
Published: August 2022

Research related to reception studies on queer representation in fiction within higher education institutions (HEIs) is a vastly unexplored area in Sri Lanka. This study intends to fill the gap in existing research by prioritising the need to factor in receptors’ positions and practices in teaching and learning these works. This research aims to understand, deconstruct, and explore the varied positions and practices of receptors (lecturers and students) in the teaching and learning of a selected Sri Lankan English fiction, Funny Boy (1994) by Shyam Selvadurai at local universities. The contextual and pedagogical site selected includes three universities in the Western and Eastern provinces of Sri Lanka. The methodology of the study incorporates a qualitative research design to conduct a reception analysis. The primary data collection methods are in-depth interviews with three lecturers and two students and a focus group discussion with three students. The findings of this research identify and analyse the frames of reference, pedagogies, approaches, and strategies involved in the teaching and learning of the selected fictional work. These enable the analysis of varied reception positions and practices to explore their possibilities of incorporating critical and queer pedagogies to ensure a transformative learning experience within HEIs.
Stochastic Matrix Modelling and Scheduling Algorithm of Distributed Intelligent Computing System
Authors: Han Bo , Zhang Rongli
Published: August 2022

Parallel and distributed processing has always been a hot field of scientific and technological research, development, and application. It is an important solution in the fields of scientific computing and data service processing, such as weather prediction, wind tunnel Reynolds numerical calculation, and financial services. Intelligent cloud computing has higher requirements for high-capacity and efficient computing. The ability of existing computing system has been difficult to meet its needs. It is necessary to establish an intelligent computing system with the self-organizing ability and realize efficient task scheduling. Since the coordination of computing and storage resource scheduling becomes the key to scheduling, this study designs scheduling tasks based on a large-scale multi-task distributed system, establishes the model of distributed intelligent computing system and the multi-objective optimization model of the task scheduling problem, and designs the IPSO algorithm combined with improved particle swarm optimization algorithm according to the model. First, the particle swarm optimization algorithm is used to generate the initial scheduling scheme, then the ant colony algorithm is initialized, and the final scheduling results are generated. Simulation results show that the performance of the algorithm has obvious performance advantages compared with the improved particle swarm optimization algorithm and the improved ant colony algorithm. In addition, this study presents the task migration conditions and optimization methods under the dual objectives of makespan and availability. This optimization operation increases the system availability without increasing the scheduling length. In the distributed system with heterogeneous availability, the algorithm is effective in the dual objective performance optimization of task completion time and system availability.
Foreign Object Detection in Railway Images Based on an Efficient Two-Stage Convolutional Neural Network
Authors: Chen Weixun , Meng Siming , Jiang Yuelong
Published: August 2022

Foreign object intrusion is one of the main causes of train accidents that threaten human life and public property. Thus, the real-time detection of foreign objects intruding on the railway is important to prevent the train from colliding with foreign objects. Currently, the detection of railway foreign objects is mainly performed manually, which is prone to negligence and inefficient. In this study, an efficient two-stage framework is proposed for foreign object detection in railway images. In the first stage, a lightweight railway image classification network is established to classify any input railway images into one of two classes: normal or intruded. To enable real-time and accurate classification, we propose an improved inverted residual unit by introducing two improvements to the original inverted residual unit. First, the selective kernel convolution is used to dynamically select kernel size and learn multiscale features from railway images. Second, we employ a lightweight attention mechanism, called the convolutional block attention module, to exploit both spatial and channel-wise relationships between feature maps. In the second stage of our framework, the intruded image is fed to the foreign object detection network to further detect the location and class of the objects in the image. Experimental results confirm that the performance of our classification network is comparable to the widely used baselines, and it obtains outperforming efficiency. Moreover, the performances of the second-stage object detection are satisfying.
Low-Cost Lens Antenna Design for Microwave Moisture Detection
Authors: Ma Fangyan , Zhang Xinpei , Yin Yuanyuan , Yin Hang , Song Chao , Zhao Liqing
Published: August 2022

In this study, a novel Vivaldi antenna with dimensions of 100 mm × 85 mm × 1.6 mm, designed for a moisture measurement system, is built to enhance the gain of conventional Vivaldi antennas in the low-frequency band to suit the needs of moisture detection. The fence structure and choke slot are modified to enhance the antenna’s radiation properties in the low-frequency band, and simulation is performed to determine how different structural parameters affect the antenna’s performance. The results show that in the frequency band of 5-6 GHz, the voltage standing-wave ratio (VSWR) of the antenna is less than 2, and the gain at 5.8 GHz reaches 16.2 dBi after installing the lens. Compared with conventional unmodified Vivaldi antennas, the gain at 5.8 GHz increases by approximately 6.11 dBi. The antenna is then processed and measured, and the measured results are in good agreement with the simulated results; hence, the antenna can be widely used in the field of moisture detection.
Diagnostic Ability and Capacity of Optical Coherence Tomography-Angiography to Detect Retinal and Vascular Changes in Patients with Fibromyalgia
Authors: Garcia-Martin Elena , Tello Alvaro , Vilades Elisa , Perez-Velilla Javier , Cordon Beatriz , Fernandez-Velasco Diego , Garcia-Campayo Javier , Puebla-Guedea Marta , Satue Maria
Published: August 2022

Background. To evaluate the neuroretina and retinal vasculature of fibromyalgia (FM) patients and calculate a linear discriminant function (LDF) to improve retinal parameters’ contribution to FM diagnosis. Methods. Fifty FM patients and 232 healthy controls underwent retinal evaluation using swept-source optical coherence tomography (SS-OCT) angiography (Triton plus; Topcon) and spectral domain OCT (SD-OCT) (Spectralis; Heidelberg). The macular (m) and peripapillary (p) retinal nerve fibre layer (RNFL) and ganglion cell layer (GCL) were assessed, as was the macular vascular density. A logistic regression analysis was performed, and an LDF was calculated to evaluate OCT’s contribution to FM diagnosis. Results. With Triton OCT, the patients presented pRNFL thinning in the temporal sector (

p
=
0.006

). Spectralis OCT measurements showed decreased pRNFL in patients in the following sectors: superonasal,

p
=
0.001

; nasal,

p
=
0.001

; inferonasal,

p
=
0.006

; temporal,

p
=
0.001

; and inferotemporal,

p
=
0.001

. No significant differences were observed in the macular vascular plexus between patients and controls. However, vascular density in the superior sector showed a strong inverse correlation with disease duration (r = −0.978,

p
=
0.022

). The LDF calculated for Spectralis OCT yielded an area under the ROC curve of 0.968. Conclusions. FM patients present RNFL thinning observable using SS- and SD-OCT. However, these patients show similar vascular density in the macular area to healthy controls. The LDF that combines several RNFL parameters obtained using Spectralis OCT gives this device a powerful ability to differentiate between healthy individuals and individuals with FM.
Progress of Bulbar Conjunctival Microcirculation Alterations in the Diagnosis of Ocular Diseases
Authors: Sun Zhengze , Li Yaxin , Liu Rongjun , Ma Baikai , Zhou Yifan , Duan Hongyu , Bian Linbo , Li Wenlong , Qi Hong
Published: August 2022

Bulbar conjunctival microcirculation is a microvascular system distributed in the translucent bulbar conjunctiva near the corneal limbus. Multiple ocular diseases lead to bulbar conjunctival microcirculation alterations, which means that bulbar conjunctival microcirculation alterations would be potential screening and diagnostic indicators for these ocular diseases. In recent years, with the emergence and application of a variety of noninvasive observation devices for bulbar conjunctiva microcirculation and new image processing technologies, studies that explored the potential of bulbar conjunctival microcirculation alterations in the diagnosis of ocular diseases have been emerging. However, the potential of bulbar conjunctival microcirculation alterations as indicators for ocular diseases has not been exploited to full advantage. The observation devices, image processing methods, and algorithms are not unified. And large-scale research is needed to concrete bulbar conjunctival microcirculation alterations as indicators for ocular diseases. In this paper, we provide an update on the progress of bulbar conjunctival microcirculation alterations in the diagnosis of ocular diseases in recent five years (from January 2017 to March 2022). Relevant ocular diseases include contact lens wearing, dry eye, conjunctival malignant melanoma, conjunctival nevus, and diabetic retinopathy.
Simplified Algorithm of Geometric Model Region Segmentation Using Neural Network
Authors: Wang Yuan , Guo Wei , Zhao Shuanfeng , Lu Zhengxiong , Xing Zhizhong
Published: August 2022

The simplification of three-dimensional (3D) models has always been a hot research topic for scholars. The researchers simplified different parts of the 3D point cloud data from both global and local information. Aiming at the need to retain detailed features in the simplification of 3D models, the neural network (NN) technology is firstly analyzed and studied, and a simplified algorithm for regional segmentation of geometric models based on Graph Convolutional Neural Network (GCNN) is proposed. Secondly, based on the idea of dense connection of DenseNet network structure, a symmetric segmentation model is established. The left part continuously performs Down-Sampling and local feature aggregation on the original geometric model through the Weighted Critical Points (WCPL) algorithm and edge convolution operation and performs compression encoding. At the same time, the right part uses the interpolation method for Up-Sampling the encoded data to increase the number of data points and feature dimensions, so as to restore the point cloud data to the dimensions before processing. Finally, it is restored to the dimension size of the original data to realize the end-to-end output of the segmentation model. Comparing the results with other segmentation models, it shows that (1) as the number of iterations increases, the regional accuracy of the training set increases; (2) after 1000 training rounds, from the perspective of the segmentation effect of a single category of objects, the model has good segmentation effect and has application prospects; and (3) compared with other models, the segmentation interaction ratio of the model is at a relatively mature level. The findings can provide a reference for the application of the segmentation technology of related geometric models and neural networks in the fields of similar models and image segmentation.
Aperture-Fed Quad-Port Dual-Band Dielectric Resonator-MIMO Antenna for Sub-6 GHz 5G and WLAN Application
Authors: Upadhyaya Trushit , Park Ikmo , Pandey Rajat , Patel Upesh , Pandya Killol , Desai Arpan , Pabari Jayesh , Byun Gangil , Kosta Yogeshwar
Published: August 2022

A four-port dielectric resonator-based connected ground multiple-input multiple-output (MIMO) antenna is designed. The presented antenna was excited through the aperture feeding technique. The dual bands are achieved by optimally feeding the rectangular dielectric resonator through engineered triangular slots. The antenna has operating modes of

T

E

111

X

and

T

E

111

Y

at 4.5 GHz and 5 GHz, respectively. It presents a 2 : 1 VSWR bandwidth of 2.64% (4.48 GHz–4.60 GHz) and 1.2% (4.96 GHz–5.04 GHz) in the lower and upper bands, respectively. The edge-to-edge distance between array elements is around 7.5 mm. The single antenna dimension is 30 mm × 30 mm, whereas the four-port antenna dimension is 60 mm × 60 mm. The optimum isolation was achieved by carefully placing the antenna elements on the substrate through multiple iterations. The antenna provides port isolation better than 20 dB at both resonances with full ground profile. The advantage of the antenna is that it provides fair antenna and MIMO parameters without additional isolation techniques. The antenna has efficiency in order of 88.02% and 86.31%. The peak gain is 7.67 dBi and 8.32 dBi at 4.5 GHz and 5 GHz, respectively. The optimum envelope correlation coefficient (ECC) is 0.037, channel capacity coss (CCL) is 0.2 bits/sec/Hz, diversity gain (DG) is 9.99 dB, and total active reflection coefficient (TARC) is −18.87. The antenna elements are orthogonally placed with adequate separation to achieve polarization diversity and spatial diversity. The antenna provides the utilization in Sub-6 GHz 5G and WLAN communication applications.
Algebro-Geometric Solutions of a (
2
+
1
)-Dimensional Integrable Equation Associated with the Ablowitz-Kaup-Newell-Segur Soliton Hierarchy
Authors: Chen Xiaohong
Published: August 2022

The (

2
+
1

)-dimensional Lax integrable equation is decomposed into solvable ordinary differential equations with the help of known (

1
+
1

)-dimensional soliton equations associated with the Ablowitz-Kaup-Newell-Segur soliton hierarchy. Then, based on the finite-order expansion of the Lax matrix, a hyperelliptic Riemann surface and Abel-Jacobi coordinates are introduced to straighten out the associated flows, from which the algebro-geometric solutions of the (

2
+
1

)-dimensional integrable equation are proposed by means of the Riemann

θ

functions.
Real-Time Query Method Based on Distributed Database Demand Information
Authors: Luo Qingjia
Published: August 2022

This paper proposes a real-time query method for distributed database requirement information. First, we propose to extract the database information according to the submitted query keyword. Then, we establish a real-time model of distributed database demand information query and a real-time information classification model, using a distributed multivariate hash algorithm model and a query of real-time information. When there is a query keyword, the proposed method directly reads the data above the hash ring based on the keyword to improve query efficiency. Extensive experimental results indicate that our proposed method reduces the number of queries, query pressure, and processing time of information queries in the distributed database. Moreover, the distributed database’s real-time processing rate and amount have increased.
Structural Alteration, Hydration Stability, Heavy Metal Removal Efficiency, and Montmorillonite Porosity Fate by Coupling the Soil Solution pH and a Thermal Gradient
Authors: Mejri Chadha , Oueslati Walid , Amara Abdesslem Ben Haj
Published: August 2022

Clay minerals are considered as a promising material in the context of geological barrier for the confinement of radioactive and industrial waste. Understanding the usefulness of the smectite mineral, in this approach, remains insufficient. The deep investigation about structural response/changes, hydrate stability, cation exchange process, permeability, and heavy metal/radionuclide adsorption/removal efficiency under external constraints is needed. To explore the structural alteration, the hydration stability, and the evolution of montmorillonite porosity under a first order of external applied constraints coupling, a reference Na-rich montmorillonite specimen is used as a starting material, and three exchangeable heavy metal cations (Ba2+, Cu2+, and Co2+) have been selected. The applied constraint coupling is realized at laboratory scale and assured by simultaneously varying of the soil solution pH and the thermal gradient. The evaluation of the mineral fraction response is established by correlation of quantitative XRD analysis results, thermal analysis, and porosity measurements. The quantitative XRD analysis allows rebuilding of the theoretical model describing the interlamellar space (IS) configurations/damages, structural heterogeneity degrees, and hydrous stability. Obtained results show a dominant interstratified hydration character, for all studied complexes, attributed to a new IS organization versus the applied constraint strength. Furthermore, all samples exhibit a heterogeneous hydration behavior traduced by the coexistence of different layers of type population within the crystallite. Additionally, the theoretical XRD profile decomposition allowed us to prove link between the domination of the segregated stacking layers mode against the constraint strength. Thermal analysis allowed us to develop theoretical models describing the decrease of the water molecule amounts as a function of the increase in temperature and soil solution pH. Moreover, a specific hydration footprint response and an interstratification mapping are assigned for each corresponding stress degrees. The evolution of montmorillonite porosity is determined by adsorption measurement, based on Brunauer, Emmett, and Teller (BET) and Barrett-Joyner-Halenda (BJH) pore size distribution analyses which confirms for all samples, the exfoliation process, and the mesopore diameter rise by increasing the constraint intensity.
Supervised Approach to Identify Autism Spectrum Neurological Disorder via Label Distribution Learning
Authors: Munagala N. V. L. M Krishna , Saravanan V. , Almukhtar Firas Husham , Jhamat Naveed , Kafi Nadeem , Khan Samiullah
Published: August 2022

Autism Spectrum Disorder (ASD) is a complicated collection of neurodevelopmental illnesses characterized by a variety of developmental defects. It is a binary classification system that cannot cope with reality. Furthermore, ASD, data label noise, high dimension, and data distribution imbalance have all hampered the existing classification algorithms. As a result, a new ASD was proposed. This strategy employs label distribution learning (LDL) to deal with label noise and uses support vector regression (SVR) to deal with sample imbalance. The experimental results show that the proposed method balances the effects of majority and minority classes on outcomes. It can effectively deal with imbalanced data in ASD diagnosis, and it can help with ASD diagnosis. This study presents a cost-sensitive approach to correct sample imbalance and uses a support vector regression (SVR)-based method to remove label noise. The label distribution learning approach overcomes high-dimensional feature classification issues by mapping samples to the feature space and then diagnosing multiclass ASD. This technique outperforms previous methods in terms of classification performance and accuracy, as well as resolving the issue of unbalanced data in ASD diagnosis.
A New Material Selection Method Based on Weighted Mean Values of Overall Performance Scores from Different Multicriteria Decision-Making Methods
Authors: Yang Won Chol , Ri Won , Yang Ji Yon , Choe Chol Min
Published: August 2022

There are many multicriteria decision-making (MCDM) methods applicable to material selection. It may produce considerable differences between the material selection results. However, it is unknown which MCDM method has more rational result and there is no rational method to determine final overall performance scores of alternative materials. We propose a new method to determine final overall performance scores and final ranks of alternative materials combined with results from different MCDM methods in material selection. The outline is as follows. First, calculate the overall performance scores and ranks of the alternative materials using some different MCDM methods. Second, calculate mean values of the rank correlation coefficients between the rankings obtained from different MCDM methods and assign the mean values as the priority weights of each MCDM method. Finally, calculate the weighted mean values of the overall performance scores obtained from different MCDM methods and determine them as final overall performance scores of the alternative materials. To illustrate the effectiveness, we apply the proposed method to select best tool holder materials. The method may help material designers and engineers to apply different MCDM methods to material selection and multi-objective optimization of material composition and process, much more effectively and actively.
Pingyangmycin Activates Oral Carcinoma Cell Autophagy via the Phosphorylation of the PI3K/AKT/mTOR Axis to Achieve the Purpose of Treating Oral Carcinoma
Authors: Xu Wei , Zhang Laijian , Chen Zhi , Wang Hao , Yan Zhongyi
Published: August 2022

Objective. The aim of the study is to investigate the role of pingyangmycin (PYM) in oral carcinoma (OC) cell autophagy via the PI3K/AKT/mTOR axis. Methods. 200 μL PYM culture solution with a concentration of 100 μg/ml (low PYM (L-PYM) group), 300 μg/ml (middle PYM (M-PYM) group), 500 μg/ml (high PYM (H-PYM) group), and the same amount of conventional medium (normal control (NC)) were added to the purchased OC cell line SCC-25, respectively, and the PI3K/AKT/mTOR pathway expression, autophagy protein levels, cell activity, and apoptosis rate were determined. Subsequently, we selected OC cells co-cultured with PYM with the concentration of the most significant intervention effect and 740Y-P, a specific activator of the PI3K/AKT/mTOR axis, and those treated with 740Y-P alone for the aforementioned detection. Results. L-PYM, M-PYM, and H-PYM groups all showed decreased PI3K, AKT, mTOR, and phosphorylated protein levels (

P
<
0.05

). Beclin1 and LC3-II protein levels and apoptosis rate of PYM-intervened OC cells increased, but the activity decreased (

P
<
0.05

). Under 740Y-P intervention, the PI3K/AKT/mTOR pathway was activated, cell activity was increased, and the apoptosis rate and autophagy were decreased (

P
<
0.05

). Simultaneous use of PYM and 740Y-P led to no difference in cell condition compared with NC (

P
>
0.05

P>0.05). Conclusion. PYM can activate OC cell autophagy by inhibiting the phosphorylation of the PI3K/AKT/mTOR axis, and thus, achieving the goal of killing tumor cells.
RBM8A Depletion Decreases the Cisplatin Resistance and Represses the Proliferation and Metastasis of Breast Cancer Cells via AKT/mTOR Pathway
Authors: Song Tao , Zhang Huazhou
Published: August 2022

Background. Breast cancer (BC) is the most prevalent malignancy in women. This study is aimed to explore the role and regulatory mechanism of RNA-binding motif protein 8A (RBM8A) in BC. Methods. We detected the expression of RBM8A in BC tissues and cell lines (MCF-7, MDA-MB-231, and MDA-MB-436), and explored the correlation of RBM8A expression with clinicopathological features in patients. The function of RBM8A deficiency in MCF-7 and MDA-MB-231 cells was determined using MTT, wound healing, and transwell assay. The effect of RBM8A suppression on the cisplatin (DDP) resistance in MCF-7 and MDA-MB-231 cells was also evaluated. Besides, western blotting was used to examine AKT/mTOR pathway-related proteins. The mouse model was constructed to confirm the effect of RBM8A on tumor growth. Results. The expression of RBM8A was elevated in BC tissues and cell lines. RBM8A silencing restrained the malignant behaviors of MCF-7 and MDA-MB-231 cells, including viability, migration, and invasion, while promoting apoptosis. Silencing of RBM8A overcame resistance to DDP in MCF-7 and MDA-MB-231 cells. Furthermore, RBM8A suppression restrained the activation of the AKT/mTOR pathway in both MCF-7 and MDA-MB-231 cells. Feedback experiments revealed that SC79 treatment reversed the reduction effects of RBM8A knockdown on viability, DDP resistance, migration, and invasion of MDA-MB-231 cells. Moreover, the silencing of RBM8A inhibited the growth of tumor xenograft in vivo. Conclusions. RBM8A knockdown may reduce DDP resistance in BC to repress the development of BC via the AKT/mTOR pathway, suggesting that RBM8A may serve as a new therapeutic target in BC.
A Theory of Reliance on Individuating Information and Stereotypes in Implicit Judgments of Individuals and Social Groups
Authors: Rubinstein Rachel S. , Jussim Lee , Loh Bryan , Buraus Megan
Published: August 2022

We propose a theory of (a) reliance on stereotypes and individuating information in implicit person perception and (b) the relationship between individuation in implicit person perception and shifts in implicit group stereotypes. The present research preliminarily tested this theory by assessing whether individuating information or stereotypes take primacy in implicit judgments of individuals under circumstances specified by our model and then testing the malleability of implicit group stereotypes in the presence of the same (or additional) counterstereotypic individuating information. Studies 1 and 2 conceptually replicated previous research by examining the effects of stereotype-inconsistent and stereotype-consistent individuating information on implicit stereotype-relevant judgments of individuals. Both studies showed that stereotypic implicit judgments of individuals made in the absence of individuating information were reversed when the individuals were portrayed as stereotype-inconsistent and were strengthened when targets were portrayed as stereotype-consistent (though in Study 2 this strengthening was descriptive rather than inferential). Studies 3 and 4 examined whether the strong effects of individuating information found in studies 1 and 2 extended to the social groups to which the individuals belonged. Even in the presence of up to eight counterstereotypic exemplars, there was no evidence of significant shifts in group stereotypes. Thus, the data showed that the shifts in implicit judgments that were caused by individuating information did not generalize to stereotypes of the social groups to which the individuals belong. Finally, we propose modifications to our theory that include potential reasons for this lack of generalization that we invite future research to explore.
Integrating Radiomics with Genomics for Non-Small Cell Lung Cancer Survival Analysis
Authors: Chen Wei , Qiao Xu , Yin Shang , Zhang Xianru , Xu Xin
Published: August 2022

Purpose. The objectives of our study were to assess the association of radiological imaging and gene expression with patient outcomes in non-small cell lung cancer (NSCLC) and construct a nomogram by combining selected radiomic, genomic, and clinical risk factors to improve the performance of the risk model. Methods. A total of 116 cases of NSCLC with CT images, gene expression, and clinical factors were studied, wherein 87 patients were used as the training cohort, and 29 patients were used as an independent testing cohort. Handcrafted radiomic features and deep-learning genomic features were extracted and selected from CT images and gene expression analysis, respectively. Two risk scores were calculated through Cox regression models for each patient based on radiomic features and genomic features to predict overall survival (OS). Finally, a fusion survival model was constructed by incorporating these two risk scores and clinical factors. Results. The fusion model that combined CT images, gene expression data, and clinical factors effectively stratified patients into low- and high-risk groups. The C-indexes for OS prediction were 0.85 and 0.736 in the training and testing cohorts, respectively, which was better than that based on unimodal data. Conclusions. Combining radiomics and genomics can effectively improve OS prediction for NSCLC patients.
Stiffness Calculation for Negative Moment Region of Steel-Concrete Composite Beams considering the Influence of Cracking and Interface Slip
Authors: Cao Wenlong , Bu Jianqing , Zhao Cunbao , Wang Xueyan , Zhang Liping , Zhang Jiren
Published: August 2022

Concrete cracking and interface slip decrease the bending stiffness of steel-concrete composite beams (SCCBs) in the negative moment region. To evaluate this decrease in the stiffness of SCCBs, a static differential equation is used to derive analytical expressions of interface slip and deflection. Based on the static load test results for SCCBs, the influence of concrete cracking and interface slip on the stiffness is analyzed. A linear stiffness reduction method is proposed for calculating the stiffness of SCCBs in the negative moment region after the concrete undergoes cracking. The proposed method can be used in engineering applications as it enables the facile and accurate calculation of the deflection and slip and the changes in stiffness of SCCBs in the negative moment region. The method can also be used for predicting and evaluating performance in the field of structural design.
Peripheral Artery Disease Intervention: Drug-Coated Balloon vs Drug-Eluting Stent, A Long-Term Comparison
Authors: Marzlin Nathan , Jan M. Fuad , Kostopoulos Louie , Moreno Ana Cristina Perez , Bajwa Tanvir , Allaqaband Suhail Q.
Published: August 2022

Objectives. The aim of the study is to evaluate current trends and long-term durability of both drug-eluting stents (DES) and drug-coated balloons (DCB) in the treatment of peripheral artery disease (PAD). Background. PAD affects more than 200 million people worldwide. Endovascular treatment of critical PAD has advanced in recent years. DES and DCB have demonstrated superiority compared to balloon angioplasty or bare metal stenting. The current literature lacks any long-term, direct comparison. Methods. A retrospective analysis was completed on patients who had femoral-popliteal interventions from June 2014 to June 2018 with either DCB or DES. Patient medical data and lesion characteristics were retrieved using the Vascular Quality Initiative database. Outcomes were analyzed through December 2019. Primary endpoint of time to clinical event-driven target lesion reintervention (TLR) and secondary endpoint of all-cause mortality were examined. Results. Four hundred eighty-three patients with a total of 563 interventions met the inclusion criteria. Three hundred fifty-nine DCB and 204 DES were performed. Of the DCBs, 132 required bailout stenting at the time of procedure. The mean time for TLR in the DES group was 1,277 days (SD 546), compared to 904 days (SD 330.1) for DCB. For patients requiring TLR, DES remained patent significantly longer (373 days longer on average) (

p

< 0.001). For all-cause mortality there was no significant difference at 50 months between DCB and DES (

p

= 0.06). Conclusions. In patients who required TLR, DES had a significantly longer length of time to reintervention vs DCB (average 373 days), although no difference in mortality was observed.
Inventory Path Optimization of VMI Large Logistics Enterprises Based on Ant Colony Algorithm
Authors: Wang Yaoyan
Published: August 2022

In order to better manage the supplier’s inventory and formulate a reasonable distribution plan, based on the existing research, taking the two-level supply chain system composed of one supplier and multiple retailers as the research object and VMI mode as the background, this paper studies the inventory path optimization problem with the goal of minimizing the total cost in the planning period. Taking the retailer’s inventory capacity and vehicle capacity constraints as constraints, this method constructs a mixed integer programming model with random demand in multiple cycles and the goal of minimizing the total cost in the planning period. When building the model, the distribution cost is refined. In addition to identifying shipping-related start-up costs and travel costs, processing costs are associated with additional delivery time, which is close to reality. In the algorithm design, the genetic algorithm is combined with the C–W algorithm, a similar hybrid genetic algorithm is used to solve the model, and the sample model is used for estimation; that is, the expected value of the random sample is taken, which is used as the target value for each chromosome. In addition, when optimizing roads, the C–W algorithm is used to divide vehicle capacity according to truck capacity as much as possible, thereby reducing the number of vehicles used and saving the overall total cost of preparation time for certain projects. Facts have proved that the optimized and improved inventory path is more conducive to help enterprises reduce logistics costs and provide theoretical support for enterprise management decisions.
Construction of Student Mental Health Education Expert Platform Based on Cloud Native Model
Authors: Jin Song
Published: August 2022

After completing the function and performance requirements of the system, the architecture design of the college students’ mental health expert platform is carried out. The overall design of the platform is introduced as a whole, including the logical architecture, topology architecture, and functional architecture of the system. Due to the particularity of the college student’s mental health expert platform, the framework design of the server and the client is made from the system framework level. Then, it introduces the logical design and physical design of the system database, and finally introduces the detailed design of the core function modules in detail. The corresponding weights of each index in the index system are obtained through AHP, and the evaluation model of the mental health expert platform based on AHP is obtained. After testing, it proved that the platform construction was successful. After investigation, more and more students come to the platform for help, and the students believe that functions such as appointment consultation and online consultation should be added.
Survival Outcomes of Breast-Conserving Therapy versus Mastectomy in Early-Stage Breast Cancer, Including Centrally Located Breast Cancer: A SEER-Based Study
Authors: Yu Tianshui , Cheng Weilun , Wang Ting , Chen Ziang , Ding Yu , Feng Jianyuan , Duan Yunqiang , Hu Anbang , Li Mingcui , Zhang Hanyu , Li Yanling , Ma Fei , Guo Baoliang
Published: August 2022

Purpose. This study aims to analyze the survival outcomes of breast cancer (BC) patients, especially centrally located breast cancer (CLBC) patients undergoing breast-conserving therapy (BCT) or mastectomy. Methods. Surveillance, epidemiology, and end results (SEER) data of patients with T1-T2 invasive ductal or lobular breast cancer receiving BCT or mastectomy were reviewed. We used X-tile software to convert continuous variables to categorical variables. Chi-square tests were utilized to compare baseline information. The multivariate logistic regression model was performed to evaluate the relationship between predictive variables and treatment choice. Survival outcomes were visualized by Kaplan–Meier curves and cumulative incidence function curves and compared using multivariate analyses, including the Cox proportional hazards model and competing risks model. Propensity score matching was performed to alleviate the effects of baseline differences on survival outcomes. Result. A total of 180,495 patients were enrolled in this study. The breast preservation rates fluctuated around 60% from 2000 to 2015. Clinical features including invasive ductal carcinoma (IDC), lower histologic grade, smaller tumor size, fewer lymph node metastases, positive ER and PR status, and chemotherapy use were independently correlated with BCT in both BC and CLBC cohorts. In all the classic Cox models and competing risks models, BCT was an independent favorable prognostic factor for BC, including CLBC patients in most subgroups. In addition, despite the low breast-conserving rate compared with tumors located in the other areas, CLBC did not impair the prognosis of BCT patients. Conclusion. BCT is optional and preferable for most early-stage BC, including CLBC patients.
Spatial Expression of Multifaceted Soft Decoration Elements: Application of 3D Reconstruction Algorithm in Soft Decoration and Furnishing Design of Office Space
Authors: Yao Ping
Published: August 2022

In China’s modern market economy under the rapid development of the general situation, we work more and more problems, and work pressure is also increasing. The so-called office space refers to the space layout, style, and the physical and psychological division of the space. Office space must take into account many factors, involving technology, technology, humanities, aesthetics, and other elements, while the office space is the space where people work and relax. In recent years, as people’s requirements for the work environment are increasingly high, therefore, the design of the office space is also more and more attention to people. The concept of soft furnishing design into the work space will help improve the overall corporate and office space design of cultural taste which is one of the main methods to show the quality and human connotation of the enterprise. The three-dimensional reconstruction refers to the creation of a mathematical model suitable for computer display and processing of three-dimensional space objects. It is an important basic tool for data processing, computing, and researching the performance of mathematical models in the computer environment, which can be applied in various fields such as autonomous navigation of mobile robots, aviation and remote sensing computing, industrial monitoring information system, medical imaging, and virtual reality. The 3D environment reconstruction technology has become one of the popular research areas in computer vision and increasingly attracts the attention of design practitioners. This paper takes the 3D environment reconstruction technology of office space soft decoration design as the basis and discusses the important elements and modeling ideas in soft decoration design, which adds to the interior design of office space, and uses Kinect to obtain the depth data in the 3D environment, so as to complete the realistic 3D reproduction of the interior environment based on computer vision technology.
Investigation of Effect of the Colistin Loading Dosage on the clinical, Microbiological, and Laboratory Results in Acinetobacter baumannii Ventilator-Associated Pneumonia /Pneumonia
Authors: Keski̇n Ayşegül Seremet , Seyman Derya , Önder Kübra Demir , Kizilateş Filiz , Keski̇n Olgun
Published: August 2022

Introduction and Objectives. The comparative efficacy of colistin with a loading dose (LD) and without LD remains unknown. We aimed at assessing the efficacy and safety of colistin with LD in patients with multidrug resistance (MDR) Acinetobacter baumannii ventilator-associated pneumonia (VAP) or pneumonia, compared with colistin without LD. Materials and Methods. Adult patients administered colistin with and without LD for MDR Acinetobacter baumannii VAP/pneumonia in intensive care units (ICUs) in a tertiary teaching hospital between 1 January 2018 and 31 December 2019 were included in this retrospective cohort study. The primary endpoint was an assessment of clinical and microbiological success between treatment groups. Secondary endpoints included 14- and 30-day mortality and development of nephrotoxicity. Results. A total of 101 patients were included (colistin with LD, n = 57; colistin without LD, n = 44). No significant difference in clinical success was observed between groups (73.7% versus 77.3%;

p
=
0.670

). In patients receiving colistin with LD, the microbiological success rate increased from 65.9% to 71.9%, but there was no statistically significantly difference (

p
=
0.510

). In terms of using combination therapies with carbapeneme and/or tigecycline, there was no significant difference between treatment groups (

p
=
0.30

). The rates of 14- and 30-day mortality were similar between groups. The colistin with LD group had a higher rate of nephrotoxicity compared to the other group (52.6% versus 20.5%

p
=
0.001

). The clinical and microbiological response times were found significantly higher in the colistin with LD group (

p
=
0.001

;

p
=
0.017

). Conclusion. Colistin with LD was associated with a higher risk of nephrotoxicity and was not related to clinical success, microbiological success, and prolonged survival. Randomized comparative studies are needed to confirm the efficacy of LD colistin regimen on MDR Acinetobacter infection.
Review of Culture in Construction Projects: Status Quo and Challenges
Authors: Li Jin
Published: August 2022

Culture in construction has recently received a lot of attention from practitioners and academia. The purpose of this study is to capture the map of culture in construction projects to provide the picture of culture in construction. This article conducted a two‐stage review of culture in construction, including Scientometric analysis and content analysis. First, we carried out Scientometric analysis of 173 relevant articles (from 12 journals) to visualize the literature of culture in construction from 1989 to 2022. The results indicated that the high‐published contributors of countries were Peoples R China, Australia, the USA, England, and Singapore. We also identified the critical institutions, high cited articles, keyword co‐occurrence, cluster analysis, as well as the research interests and methods in this field. Moreover, we discussed the primary topics of culture in construction based on content analysis. More attention had been paid to the definition and measurement of culture in construction. The measurement of culture remains a promising and controversial area in the future due to the debate over quantitative or qualitative methods. Most of the current research studies use quantitative methods such as questionnaire surveys to explore culture in construction. In addition, scholars have called for exploring the formation of culture in construction which will help managers develop an appropriate culture within the project organisation, particularly in mega projects. This study offers the current state of culture in construction, as well as future trends that promote interdisciplinary collaboration in this area.
EID3 Promotes Cancer Stem Cell-Like Phenotypes in Osteosarcoma through the Activation of PI3K-AKT Signaling Pathway
Authors: Wang Yan , Luo Shiyong , Wang Yuxuan , Yang Shengbang , Huang Zhitong , Zhu Xuejin , Cai Shanghua , Guo Qifeng , Zhong Weide , Liu Sihong
Published: August 2022

The aim of this study is to elucidate molecular mechanism by which E1A-like inhibitor of differentiation 3 (EID3) promotes cancer stem cell-like phenotypes in osteosarcoma. Overexpression of EID3 in osteosarcoma cells generated more spherical clones, enhanced the expression of stemness-associated genes, and promoted chemoresistance, invasion, and metastasis. Furthermore, osteosarcoma cells overexpressing EID3 had increased ability to grow in suspension as osteospheres with high expression of Sox2 and stem cell marker CD133. In addition, knockdown of EID3 reduced sphere formation and inhibited osteosarcoma cell migration and invasion. RNA sequencing and bioinformatics analysis revealed that PI3K-Akt signaling pathway and MAPK pathway­related genes were enriched in osteosarcoma cells with high expression of EID3. Taken together, EID3 promotes osteosarcoma, and EID3–PI3K-Akt axis is a potential therapeutic target for osteosarcoma treatment.
Application of Immersive Virtual Reality Interactive Technology in Art Design Teaching
Authors: Ruan Ying
Published: August 2022

With the rapid development of economy and society, the integration of disciplines has become a key object faced by the whole society. The new characteristics of rapidly iterative technology and evolving theory of the digital age brought new challenges, especially for art and design teaching. At the same time, with the continuous progress of computer hardware level, all kinds of simulation technology constantly emerge, which also brought new opportunities for art design work. Art design teaching, as a systematic project, should use advanced teaching techniques with scientific theories. In the process of teaching design, how are all parts connected with each other, and what are the problems and needs of students and teachers? Through the analysis and research of these, we are aimed at finding ways and methods to solve these problems and needs, and to achieve the optimal teaching effect. The mode, technology, and methods of traditional art design teaching are getting more and more difficult to meet the needs of the society for comprehensive design art talents. Based on virtual reality technology and aimed at the art design teaching system, this paper studies the application of the immersive virtual reality technology in the design teaching practice. On the basis of the traditional design teaching mode, the integrated three-dimensional design teaching mode is put forward and verified. It can inspire students’ creative inspiration in design teaching and guide them to immerse in learning and three-dimensional practice, constantly opening up creative thinking.