bluuebunny/crossref_metadata_2025 huggingface dataset:
Stroke Extraction Algorithm of Clerical Script in Han Dynasty Based on Contour: Take “Stele of Cao Quan” as an Example
Authors: Guoqing Liu , Changning Hao , Jingbo Yan , Jing Dong , Zuolong Zhao , Lujia Hao
Published: September 2022

Under natural conditions, the inscription will be damaged by corrosion and oxidation, which is very unfavorable for the inheritance of this cultural heritage. Therefore, how to protect and study ancient calligraphy inscriptions by modern scientific and technological methods is a scientific and technological problem before us. In this paper, taking “Stele of Cao Quan” as an example, a stroke extraction algorithm of clerical script in Han Dynasty based on contour is proposed. Starting from the Chinese character skeleton, the basic skeleton is extracted by parallel thinning algorithm, and the redundant points in the skeleton are eliminated by matching with the construction template. In addition, the contour tracking thinning algorithm is analyzed. Aiming at the problems that the starting point is difficult to determine and the tracking process is complicated, the method of determining the tracking starting point is given, and some problems existing in the tracking process are solved. The experimental results show that the accuracy of regular script, running script, and clerical script is 88.35%, 86.71%, and 84.09%, respectively. Experiments show that the contour-based clean script stroke extraction algorithm can correctly extract clean script strokes.
Effects of Puerarin Combined with PLGA/TCP/Puerarin on Osteocalcin and Sialoprotein of Mandibular Defects
Authors: Guo Ying , Zhang Qianqian , Mi Nu , Li Chunmei , Lv Xuechao , Wang Hong
Published: September 2022

In order to evaluate the effects of puerarin combined with poly lactic‐co‐glycolic acid (PLGA)/tricalcium phosphate (TCP)/puerarin on osteocalcin and sialoprotein of mandibular defects, the obtained rat jaw cells are analyzed. The surface morphology of osteoblast complex in the scaffold material group and puerarin combined scaffold material group is observed by a scanning electron microscope, and the growth and proliferation of osteoblasts are detected by the Cell Counting Kit‐8 (CCK‐8) method. Besides, the expression of type‐I collagen (COL‐I), osteocalcin (OC), and osteopontin (OPN) mRNA and related proteins in osteoblasts are detected by immunocytochemical staining. The results of immunocytochemical staining show that puerarin and PLGA/TCP/puerarin scaffold had significant effects on the expression of COL‐I and OC mRNA and related proteins in osteoblasts. The experimental results indicate that puerarin and PLGA/TCP/puerarin can synergistically affect the mRNA and protein expressions of COL‐I, OC, and OPN in osteoblasts and have a positive effect on promoting the proliferation activity of osteoblasts.
[Retracted] Role of Posttreatment Nursing Based on Functional Magnetic Resonance Imaging in Breast Cancer Patients with Lymphedema
Authors: Sun Ru , Li Haihong , Wang Xin , Shen Jun , Guo Lingzhi , Sun Wenwen
Published: September 2022

Breast cancer is the tumor disease with the highest incidence in women, especially lymphedema after treatment, which seriously affects the quality of life of women. In order to improve the nursing quality of breast cancer patients, medical staff uses functional magnetic resonance imaging (fMRI) to intervene in breast cancer patients, which greatly improves the recovery speed of patients. In this paper, functional magnetic resonance imaging based on the image registration method is proposed and applied to the follow‐up of patients with breast cancer lymphedema after treatment. The powerful imaging effect allows doctors to timely and accurately judge the condition of the patient’s lesions after treatment, which is conducive to nursing care. The experimental results of this paper show that the total number of serious patients in group A before the experiment is 25, accounting for 83.3%. After the experiment, the total number of severe cases was 24, accounting for 80%, indicating that the nursing measures of group A did not have a great effect. The total number of severe cases in group B before the experiment was 27, accounting for 90%. The total number of severe cases after the experiment was 10, accounting for 33.3%. The effect after the experiment was significantly higher than that before the experiment, indicating that the nursing program of group B played a great role.
Measurement Model for Medical Image Feature Matrix Similarity Based on CNN
Authors: Wang Lili
Published: September 2022

The original similarity measurement model is easy to ignore the processing of image details, resulting in poor accuracy of similarity measurement. In the paper, we propose a similarity measurement model for the medical image feature matrix based on the convolutional neural network (CNN). First, the Gaussian convolution kernel is used to obtain the global and local feature data of medical images, and the corresponding data set is formed. Second, the convolution layer of CNN is introduced, and the image feature matrix is obtained by the convolution layer. Finally, the similarity measurement model of the medical image feature matrix is constructed. The results show that the image similarity measurement effect of this model is better when the test process is divided into three parts: global, local, and detail. The highest error rate of the proposed algorithm is only about 0.21, which takes less time, and the overall fitting degree can reach about 91%. Compared with traditional methods, the accuracy of image similarity measurement is higher and the use effect is better.
Motor Skill Improvement Using Compressive Garments in a Child with Multidimensional Impairments and Ehlers–Danlos Syndrome
Authors: Xavier Jean , Gauthier Soizic , Zammouri Ingrid , Anzalone Salvatore Maria , Cohen David
Published: September 2022

We report the case of an 8-year-old child with a complex neurodevelopmental disorder, including severe developmental coordination disorder with dysgraphia, anxiety and depression, mild social functioning impairments, headache and chronic musculoskeletal pain, secondary to Ehlers–Danlos syndrome (EDS) hypermobility type. We explored whether wearing whole-body compressive garments (CGs) could improve his motor skills assessed through standardized and experimental procedures. In addition to the effectiveness of CGs on pain, we found partial improvements in his motor skills, specifically postural control, hand movements, and body schema representation, after wearing CGs for 15 days. During an experimental motor imitation task with a virtual tightrope walker, we found improvements in interpersonal synchronization with performances closer to those of typical developing (TD) controls. We conclude that CGs appear to be an innovative and interesting adjuvant treatment for motor skill impairments in children with multidimensional impairments involving EDS. These promising results require confirmation by further evidence-based research.
Extracellular CIRP Upregulates Proinflammatory Cytokine Expression via the NF-kappaB and ERK1/2 Signaling Pathways in Psoriatic Keratinocytes
Authors: Zhang Xiu , Wang Shengbang , Wang Wei , Song Liumei , Feng Shuo , Wang Jingping , Kang Tong , Yang Peiwen , Wang Ning , Yang Pengju , Bai Ruimin , Shao Yongping , Zheng Yan
Published: September 2022

Psoriasis is a chronic inflammatory skin disease, and elevation of proinflammatory cytokine levels is a critical driver of the pathogenesis of psoriasis. Extracellular cold-inducible RNA-binding protein (eCIRP) has been shown to play a role in various acute and chronic inflammatory diseases. C23, a short peptide derived from CIRP, competitively binds CIRP receptors and reduces damage in inflammatory diseases. However, the effect of eCIRP in psoriasis has not been studied. In the present study, we investigated the role of eCIRP in the expression of proinflammatory cytokines in keratinocytes. Our data show that eCIRP expression was increased in the sera of psoriasis patients and imiquimod- (IMQ-) induced psoriatic mice and cells stimulated with proinflammatory cytokines (IL-1α, IL-17A, IL-22, oncostatin M, and TNF-α; mix M5). Recombinant human CIRP (rhCIRP) promoted the expression of the proinflammatory cytokines TNF-α, IL-6, and IL-8 and the activation of NF-kappaB (NF-κB) and ERK1/2 in cultured keratinocytes. We then found that the above effects of eCIRP could be blocked by C23 in both normal keratinocytes and M5-stimulated psoriatic keratinocytes. In addition, in vivo experiments revealed that C23 could effectively ameliorate IMQ-induced psoriatic dermatitis. TNF-α and IL-6 mRNA expressions were reduced in the skin lesions of mice with C23-treated IMQ-induced psoriasis, and this effect was accompanied by inhibition of the NF-κB and ERK1/2 signaling pathways. In summary, eCIRP plays an important role in the pathogenesis of psoriasis and may become a new target for psoriasis treatment.
A Multirate Cognitive-Based Approach for Optimal Dynamic Allocation of English Online Teaching Resources and IoT Applications
Authors: Li Hong
Published: September 2022

Contrasted with conventional study hall education, web-based learning breaks the customary showing structure and gives students bountiful learning assets and broadened learning strategies, and available students are the learning leaders in this space. To achieve the goal of web-based learning, students must have a better understanding of the individual and the environment, the ability to express their learning requests and mental level, and the ability to adjust learning procedures intelligently based on picking on up. Learning process assessment assists students with discovering issues and lacks in their Internet learning process on schedule, in this way directing and further developing web-based learning systems, streamlining the growth opportunity, and advancing more compelling web-based learning. The mental degree of students during web-based learning is a fundamental pointer for assessing the impact of Internet learning. A convenient assessment of the mental degree of students assists them with understanding their mental level and changing learning procedures in time. It can likewise assist instructors with getting students’ mental level data to schedule, execute, and show methodologies all more precisely and give customized education intercession.
FBXL16 Promotes Endometrial Progesterone Resistance via PP2AB55α/Cyclin D1 Axis in Ishikawa
Authors: Liu Haoen , Han Li , Zhong Liyan , Zhuang Xiaodan , Peng Yan
Published: September 2022

Background. F-box proteins are essential components of the E3 ubiquitin ligases which are involved in the regulation of almost all life activities such as cell cycle, proliferation, and apoptosis, which have become an important research and drug target. However, there are few studies on F-box and leucine-rich repeat protein 16 (FBXL16) in endometrial carcinoma. Methods. Clinical samples were collected for determining the correlation between FBXL16 and endometrial carcinoma. Cells were screened and established with Ishikawa cells which proved the fundamental role of FBXL16 in regulating cell proliferation and cell cycle. The MPA-resistant endometrial carcinoma cell line Ishikawa/MPA was established. FBXL16, PP2AB55α, and cyclin D1 were analyzed separately in MPA sensitive and resistant Ishikawa cells in vitro and in vivo. Results. The high expression of FBXL16 was positively correlated with MPA resistance and poor prognosis of endometrial cancer. MPA tolerance of endometrial cancer cells was inhibited by knockdown of FBXL16 in DNA content assessment, CCK-8, and colony formation. It was confirmed that FBXL16 inhibited the activity of substrate PP2AB55α by binding to PP2A, reduced the phosphorylation level at Thr308 site of AKT1, inhibited the expression of GSK-3β, and thus led to a significant decrease in the phosphorylation level of cyclin D1, which prevented the ubiquitination recognition and degradation of cyclin D1. Conclusion. In our experiments, FBXL16 binds PP2A to promote the dephosphorylation of Thr286 site of cyclin D1 via AKT1/GSK3β/cyclin D1 pathway, which is required for resisting the ubiquitination degradation and enhances the MPA resistance of Ishikawa.
Epidemiologic Characteristics of Adolescents with COVID-19 Disease with Acute Hypoxemic Respiratory Failure
Authors: Kest Helen , Kaushik Ashlesha , Shaheen Somia , Debruin William , Zaveri Sahil , Colletti Mario , Gupta Sandeep
Published: September 2022

We report our experience of COVID-19 disease with hypoxemic respiratory failure among patients aged 12–21 years admitted to the intensive care unit at two tertiary care institutions in Northeastern and Midwestern United States. Our results showed that during the main study period that spanned the initial surge at both geographic locations, adolescents with SARS-COV-2 infection admitted to the ICU with respiratory failure were more likely to be male, black, and morbidly obese and with two or more comorbidities. The majority (79%) were admitted with COVID-19-related pneumonia and 15 developed respiratory failure; two-thirds of patients with respiratory failure (9/15, 60%) required mechanical ventilation (MV). More than two-thirds of patients (11/15, 75%) with respiratory failure were obese with BMI > 30 compared to those without respiratory failure (

p
<
0.0001

), and those with BMI > 40 were 4.3 times more likely to develop respiratory failure than those with normal BMI; 40% of patients with respiratory failure had two or more pre-existing medical comorbidities. Inflammatory markers were 2–20 times higher in patients with respiratory failure (

p
<
0.05

). The majority of patients on MV (7/9) developed complications, including ARDS (acute respiratory distress syndrome), acute renal injury, and cerebral anoxic encephalopathy. Patients with respiratory failure had a significantly longer length of hospital stay than patients without respiratory failure (

p
<
0.05

). The majority of the admitted adolescents in the ICU received steroid treatment. None of the patients died. An additional review of a 6-month postvaccination approval period indicated that the majority of ICU admissions were unvaccinated, obese, black patients and all patients who developed respiratory failure were unvaccinated. Our study highlights and supports the need for maximizing opportunities to address vaccination and healthcare gaps in adolescents as well as promoting public health measures including correct use of masks, effective vaccination campaigns for this age group, and additional passive preventive interventions for COVID-19 disease in adolescents especially with comorbid conditions, and in minority populations.
Piperine Enhances the Antimalarial Activity of Curcumin in Plasmodium berghei ANKA-Infected Mice: A Novel Approach for Malaria Prophylaxis
Authors: Khairani Shafia , Fauziah Nisa , Lina Wiraswati Hesti , Panigoro Ramdan , Salleh Annas , Yuni Setyowati Endang , Berbudi Afiat
Published: September 2022

Malaria is a prevalent vector-borne infectious disease in tropical regions, particularly in the absence of effective vaccines and because of the emergence resistance of Plasmodium to available antimalarial drugs. An alternative strategy for malaria eradication could be the combination of existing compounds that possess antimalarial activity to target multiple stages of the parasite. This study evaluated the antimalarial activity of a combination of curcumin and piperine in mice. A total of 42 mice were assigned to six groups depending on the treatment administered: group I (normal group) with aquadest; group II (negative control) with 0.2 ml DMSO; group III received a standard malarial drug (artesunate 5 mg/kg BW); groups IV, V, and VI with curcumin 300 mg/kg BW, curcumin 300 mg/kg BW and piperine 20 mg/kg BW, and piperine 20 mg/kg BW, respectively. The antimalarial activity was evaluated using prophylactic assays in Plasmodium berghei ANKA-infected mice, including the percentage parasitemia, clinical signs, survival rate, serum biochemical analysis, parasitic load in the liver, and liver histopathology. All treatments showed significant (

p
<
0.05

) antiplasmodial activity, with considerable parasite inhibition (>50%), curcumin 300 mg/kg BW (60.22%), curcumin 300 mg/kg BW, and piperine 20 mg/kg BW (77.94%) except for piperine 20 mg/kg BW (47.20%), eliciting greater inhibition relative to that of artesunate (51.18%). The delayed onset of clinical symptoms and prolonged survival rate were also significant (

p
<
0.05

) in the combination of curcumin and piperine treated group. In addition, the low parasitic load in the liver and mild histopathological changes in the liver suggest that the combination of curcumin and piperine had synergistic or additive effects. These findings demonstrate the promising use of these combined compounds as a malarial prophylactic. Further studies were recommended to assess their clinical usefulness.
Space Deployment Algorithm for UAV-IRS-Based Systems Using a Ck++ Optimizer
Authors: Lu Hao , Mao Minghe , Sun Jianjun
Published: September 2022

With the popularity of 5G mobile communication services, the number of users has increased dramatically, as well as the nonuniformity of user density distribution; many users are in nonideal channel conditions, so unmanned aerial vehicle (UAV) as a passive relay equipment platform has gradually entered people’s vision. Intelligent reflective surfaces (IRSs) capable of reconfiguring electromagnetic absorption and reflection properties in real-time are offering unprecedented opportunities to enhance wireless communication experience in challenging environments. In this paper, we start from the point of minimizing the energy consumption and nodes of UAV passive relay; the paper proposes to install intelligent reflecting surface (IRS) on UAV as a new passive relay and establish the communication coverage model of UAV-IRS. Then, the main relationship between the coverage radius and hover height of UAV-IRS is verified. In view of different distribution densities of target users, a CK++ (cyclic

k

-means++) is proposed to solve the spatial deployment problem of UAV-IRS, where the optimal solution of the system is obtained through cyclic clustering. And the algorithm is verified to effectively improve the performance of urban mobile communication and user communication service quality through numerical stimulation.
Ecological Assets Evaluation with Case Study for Yellow River Delta in China
Authors: Feng Bo
Published: September 2022

The relationship between ecological environment and human’s living habitat is becoming more and more close, which provides the necessary material conditions for human’s living. The progress and development of society cannot be separated from the supply of ecological resources’ raw materials. However, because of the characteristics of ecological asset value, it is difficult to express its value directly in the form of money. Therefore, human beings often ignore part of its actual hidden value, which leads to the failure to treasure and rationally use natural resource. Man’s influence on the ecological environment is increasing day by day. Taking the Yellow River Delta as an example, this paper analyzes and evaluates the value of its ecological resource asssets, calculates the value of various ecological resource assets by using the recovery cost method, the market method, and the results reference method, and finally obtains the total value of ecological assets. In the form of concrete data, it shows the actual value of the ecosystem and improves people’s understanding of the ecological value.
In vitro Screening of Herbal Medicinal Products for Their Supportive Curing Potential in the Context of SARS-CoV-2
Authors: Tran Hoai Thi Thu , Peterburs Philipp , Seibel Jan , Abramov-Sommariva D. , Lamy Evelyn
Published: September 2022

COVID-19 herbal medicinal products may have the potential for symptom relief in nonsevere or moderate disease cases. In this in vitro study we screened the five herbal medicinal products Sinupret extract (SINx), Bronchipret thyme-ivy (BRO-TE), Bronchipret thyme-primula (BRO TP), Imupret (IMU), and Tonsipret (TOP) with regard to their potential to (i) interfere with the binding of the human angiotensin-converting enzyme 2 (ACE2) receptor with the SARS-CoV-2 spike S1 protein, (ii) modulate the release of the human defensin HBD1 and cathelicidin LL-37 from human A549 lung cells upon spike S1 protein stimulation, and (iii) modulate the release of IFN-γ from activated human peripheral blood mononuclear cells (PBMC). The effect of the extracts on the interaction of spike S1 protein and the human ACE2 receptor was measured by ELISA. The effects on the intracellular IFN-γ expression in stimulated human PBMC were measured by flow cytometry. Regulation of HBD1 and LL-37 expression and secretion was assessed in 25 d long-term cultured human lung A549 epithelial cells by RT-PCR and ELISA. IMU and BRO-TE concentration-dependently inhibited the interaction between spike S1 protein and the ACE2 receptor. SINx, TOP, and BRO-TE significantly upregulated the intracellular expression of anti-viral IFN-γ from stimulated PBMC. Cotreatment of A549 cells with IMU or BRO TP together with SARS-CoV-2 spike protein significantly upregulated mRNA expression (IMU) and release of HBD1 (IMU and BRO TP) and LL-37 (BRO TP). The in vitro screening results provide first evidence for an immune-activating potential of some of the tested herbal medicinal extracts in the context of SARS-CoV-2. Whether these could be supportive in symptom relief or curing from SARS-CoV-2 infection needs deeper understanding of the observations.
Discovery of Lipid Metabolism-Related Genes for Predicting Tumor Immune Microenvironment Status and Prognosis in Prostate Cancer
Authors: Zhang Ying , Kong Xiangyu , Xin Shiyong , Bi Liangkuan , Sun Xianchao
Published: September 2022

Background. Reprogramming of lipid metabolism is closely associated with tumor development, serving as a common and critical metabolic feature that emerges during tumor evolution. Meanwhile, immune cells in the tumor microenvironment also undergo aberrant lipid metabolism, and altered lipid metabolism also has an impact on the function and status of immune cells, further promoting malignant biological behavior. Consequently, we focused on lipid metabolism-related genes for constructing a novel prognostic marker and evaluating immune status in prostate cancer. Methods. Information about prostate cancer patients was obtained from TCGA and GEO databases. The NMF algorithm was conducted to identify the molecular subtypes. The least absolute shrinkage and selection operator (Lasso) regression analysis was applied to establish a prognostic risk signature. CIBERSORT algorithm was used to calculate immune cell infiltration levels in prostate cancer. External clinical validation data were used to validate the results. Results. Prostate cancer samples were divided into two subtypes according to the NMF algorithm. A six-gene risk signature (PTGS2, SGPP2, ALB, PLA2G2A, SRD5A2, and SLC2A4) was independent of prognosis and showed good stability. There were significant differences between risk groups of patients with respect to the infiltration of immune cells and clinical variables. Response to immunotherapy also differed between different risk groups. Furthermore, the mRNA expression levels of the signature genes were verified in tissue samples by qRT-PCR. Conclusion. We constructed a six-gene signature with lipid metabolism in prostate cancer to effectively predict prognosis and reflect immune microenvironment status.
Computer Multimedia-Oriented Chinese Language and Literature Distance Teaching System
Authors: Zhang Hongshun
Published: September 2022

The traditional Chinese language and literature distance teaching system has the problem of incomplete instruction recognition function, which leads to the slow connection speed of the system. This paper designs a computer multimedia Chinese language and literature distance teaching system. For the hardware part, strain gauge and sensor are combined, connected to VCC through 10 K ohm pull-up resistance, and connected to other components. The software part obtains the expression form of Chinese language and literature; formulates the training target, according to the antimonotone characteristics of the support degree; adopts the association rule algorithm to build the remote teaching system database, combined with the client to parse the signaling message; and designs the software instruction recognition function by using the computer multimedia technology. Experimental Results. The average connection speeds of the Chinese language and literature distance teaching system in this paper and the other two kinds of Chinese language and literature distance teaching system are 8.737 s, 13.140 s, and 13.156 s, respectively, which proves that the performance of the Chinese language and literature distance teaching system combined with computer multimedia technology is more perfect.
Study on the Drivers of Inclusive Green Growth in China Based on the Digital Economy Represented by the Internet of Things (IoT)
Authors: Liu Xiaoxue , Fan Shuangshuang , Cao Fuzhen , Peng Shengnan , Huang Hongyun
Published: September 2022

With the vigorous development of digital economy based on digital technologies such as Internet of things (IoT), big data, and artificial intelligence, new vitality has been injected into China’s economic model. Inclusive green growth (IGG) supports the transformation of society towards a better quality of life and well-being, as well as environmental protection. Therefore, it is crucial to identify the main drivers of IGG. However, IGG is subject to a variety of interpretations and lacks definitional clarity. To brigade this gap, this study primarily evaluates the performance of IGG and explores the key drivers on IGG in China. Specifically, the data envelopment analysis (DEA) model is employed to calculate IGG for 281 cities in China during 2005–2020. Subsequently, we take advantage of a nest of machine learning (ML) algorithm to demonstrate the vital drivers of urban IGG, which avoids the defects of endogenous linear hypothesis of traditional econometric methods. The results indicate that digitization represented by the IoT and other digital technology is the core drivers of the urban IGG in the overall sample, accounting for about 50% among all of drivers. This finding provides new evidence supporting the “high-quality development” strategy in China, as well as shedding light on grasping the principal fulcrum to achieve the transformation towards IGG in developing economies similar to China.
Financial Default Risk Prediction Algorithm Based on Neural Network under the Background of Big Data
Authors: Xie Tianheng , Zhang Jianfang
Published: September 2022

With the macroeconomy entering a new normal, many new problems are exposed in all walks of life, and the risk of default in the financial sector is also being exposed at an accelerated pace. In the context of big data, internet finance, as an important part of the financial market, also faces many risks in the process of its rapid development. Reasonable, scientific, and effective prediction and prevention of financial default risk have become a key link in the process of risk management practice in the financial industry. Based on the powerful prediction function of the neural network, this paper combined neural network and chaos theory to construct a chaotic RBF neural network. It was applied to financial default risk prediction, which made the prediction accuracy and efficiency higher. The chaotic neural network solves the shortcomings of unstable prediction in the basic neural network and can comprehensively and accurately predict the financial default risk, so as to take measures to prevent risks. The experimental results of this paper show that the accuracy rate of the chaotic RBF neural network reaches 95%, while the accuracy rates of the BP neural network and the RBF neural network are 67% and 78%, respectively. Although the prediction accuracy of these two methods is also high, it is still not as high as the chaotic RBF neural network. Therefore, it is very meaningful to choose the chaotic RBF neural network to predict financial default risk in this paper.
Use of Artificial Neural Networks to Predict Wind‐Induced External Pressure Coefficients on a Low‐Rise Building: A Comparative Study
Authors: Rodríguez-Alcántara Josué U. , Pozos-Estrada Adrián , Gómez-Martinez Roberto
Published: September 2022

Wind flow on a bluff body is a complex and nonlinear phenomenon that has been mainly studied experimentally or analytically. Several mathematical methods have been developed to predict the wind‐induced pressure distribution on bluff bodies; however, most of them result unpractical due to the mathematical complexity required. Long‐short term memory artificial neural networks with deep learning have proven to be efficient tools in the solution of nonlinear phenomena, although the choice of a more efficient network model remains a topic of open discussion for researchers. The main objective of this study is to develop long‐short term memory artificial neural network models to predict the external pressure distribution of a low‐rise building. For the development of the artificial neural network models, the multilayer perceptron and the recurrent neural network were also employed for comparison purposes. To train the artificial neural networks, a database with the external pressure coefficients from boundary layer wind tunnel tests of a low‐rise building is employed. The analysis results indicate that the long‐short term memory artificial neural network model and the multilayer perceptron neural network outperform the recurrent neural network.
Analysis of Risk Factors and Surgical Strategy of Knee Traumatic Arthritis after Internal Plate Fixation in the Treatment of Tibial Plateau Fracture
Authors: Jin Xingming , Li Dengying , Yang Lei , Han Fuyuan , Jia Pinwu
Published: September 2022

Objective. To explore the risk factors and surgical strategies of knee traumatic arthritis after internal plate fixation in the treatment of tibial plateau fracture. Methods. A total of 300 patients with tibial plateau fractures treated with internal plate fixation in our hospital from January 2019 to April 2021 were retrospectively analyzed. According to whether secondary knee traumatic arthritis occurred after operation, they were divided into control group and research group. The control group was nonsecondary knee traumatic arthritis (

n
=
231

), and the research group was secondary knee traumatic arthritis (

n
=
69

). Univariate and multivariate logistic regression analysis was used in this research. Results. There were significant differences in fracture classification, injury method, osteoporosis, and the time from injury to operation between the two groups, and there are statistically significant differences between groups (

P
<
0.05

). Fracture type, injury method, osteoporosis, and time from injury to operation were the influencing factors of tibial internal fixation, and there are statistically significant differences between groups (

P
<
0.05

). Platform fracture was an independent risk factor for postoperative knee joint traumatic arthritis, and there are statistically significant differences between groups (

P
<
0.05

). The HSS scores of both groups increased after operation, and there are statistically significant differences between groups (

P
<
0.05

). No loosening of the prosthesis was found in all 69 patients with postoperative X-ray examination. Conclusion. Fracture classification, injury mode, osteoporosis, and time from injury to operation are independent risk factors for knee traumatic arthritis in the treatment of tibial plateau fractures with internal plate fixation, incidence of knee trauma.
Development of Ecological Health Tourism Products under the Background of Internet+
Authors: Wang Xin
Published: September 2022

With the development of domestic economy and the improvement of people’s living standard, tourism has become more and more popular as a leisure lifestyle. The explosive growth of the mobile Internet has caused the problem of “information overload”. The travel recommendation system can help tourists obtain the travel information that users are interested in from the massive data. Ecological health tourism is a special tourism product with ecological environment as the background and leisure health activities as the theme. With the development of China’s urbanization and the intensification of population aging, the Chinese people’s demand for health tourism products and ecological health tourism market is becoming stronger and stronger, and the development prospect is extremely broad, but there is not much research in this field in the academic circles at present. This paper applies the Collaborative Filtering (CF) to travel recommendation to provide users with accurate travel recommendation services. However, because the traditional CF only relies on a single user’s rating data, and has its own defects, it cannot meet the complex needs of users in the tourism industry. This paper improves the traditional CF and designs and implements a tourism recommendation system on this basis. Combine Spark cloud computing platform technology and TC-Personal Rank algorithm to achieve a breakthrough in the algorithm. Through experiments, it can be found that the accuracy of product recommendation can be improved by 75.3% for the algorithm designed in this paper. Overall, the recall rate can reach 65.7%. And it can also achieve good results in recommendation satisfaction and recommendation coverage.
Abstract A21: Novel autochthonous mouse models as preclinical tools in the study of MCD/C5 DLBCL
Authors: Fluemann Ruth , Hansen Julia , Pelzer Benedikt , Lohmann Tim , Kisis Ilmars , Büttner Reinhard , Persighel Thorsten , Abedpour Nima , Peifer Martin , Jachimowicz Ron Daniel , Reinhardt Hans Christian , Knittel Gero
Published: September 2022

Diffuse large B cell lymphoma (DLBCL) is a clinically and genetically very heterogeneous disease. Several [GK1] [RW2] recent studies attempted to give structure to the genetic heterogeneity by clustering cases based on their mutational profiles. Clusters MCD by Schmitz et al. and C5 by Chapuy et al. are amongst the clusters enriched for cases with particularly inferior prognosis. Both clusters are defined by mutations in MYD88 and CD79B as well as high levels of BCL2 expression and recurring mutations in transcriptional regulators of the plasmacytic differentiation process (PRDM1, SPIB). We have generated genetically-engineered mouse models that mimic key alterations of MCD/C5 DLBCL: Hallmark mutations in MYD88 and CD79B, loss of PRDM1 and overexpression of BCL2/SPIB. We could show that those mice develop clonal lesions, which morphologically resemble DLBCL. In the presence of a lesion that prevents plasmacytic differentiation (overexpression of Spib, loss of Prdm1), the forming lesions display signs of an earlier stage of B cell development, specifically histologic and transcriptomic similarities to germinal center cells. In contrast, allelic combinations without differentiation block lead to lymphomas that express CD138 and lack B220 expression, suggesting a more plasmacytic/plasmablastic differentiation status. The presence or absence of a Cd79b p.Y195H mutation has no notable effect on the immunophenotype of the lymphoma. However, its presence correlates with enrichment of BCR signaling gene set expression in lymphoma tissue and significantly increased sensitivity to inhibition of Bruton’s Tyrosine Kinase (BTK) by ibrutinib in our model systems. Taken together, we have established a set of murine models which mimic different genetic features of C5/MCD DLBCL. We have extensively characterized these models and show their usability as preclinical tools for therapeutic studies.

Citation Format: Ruth Fluemann, Julia Hansen, Benedikt Pelzer, Tim Lohmann, Ilmars Kisis, Reinhard Büttner, Thorsten Persighel, Nima Abedpour, Martin Peifer, Ron Daniel Jachimowicz, Hans Christian Reinhardt, Gero Knittel. Novel autochthonous mouse models as preclinical tools in the study of MCD/C5 DLBCL [abstract]. In: Proceedings of the Third AACR International Meeting: Advances in Malignant Lymphoma: Maximizing the Basic-Translational Interface for Clinical Application; 2022 Jun 23-26; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2022;3(5_Suppl):Abstract nr A21.
Abstract A22: Cost effectiveness of second line Axicabtagene ciloleucel in relapsed refractory diffuse large B-cell lymphoma
Authors: Kambhampati Swetha , Saumoy Monica , Schneider Yecheskel , Budde Lihua E. , Danilov Alexey , Mei Matthew , Popplewell Leslie , Siddiqi Tanya , Zain Jasmine , Forman Stephen , Kwak Larry , Rosen Steven , Herrera Alex , Thiruvengadam Nikhil
Published: September 2022

Background In patients with relapsed/refractory diffuse large B-cell lymphoma (RR-DLBCL), CAR T has been shown to be effective in patients with at least 2 prior lines of therapy. ZUMA-7 study demonstrated that axi-cel improved event free survival (EFS) compared to standard of care (SOC) salvage chemoimmunotherapy in primary refractory/early relapse DLBCL leading to its recent FDA approval in this setting. We evaluated the cost effectiveness of second line axi-cel. Methods We modeled a hypothetical cohort of US adults (mean age, 65 years) with primary refractory/early relapse DLBCL by developing a Markov model (20-year horizon) to model the cost-effectiveness of axi-cel in the second-line setting compared to SOC using a range of plausible long-term outcomes. EFS and OS were estimated from ZUMA-7. Outcome measures were reported in incremental cost-effectiveness ratios, with a willingness-to-pay (WTP) threshold of $150,000/quality-adjusted life-year (QALY). Results Assuming a 5-year EFS of 35% with second line axi-cel and 10% with SOC, axi-cel was cost-effective at a WTP of 100,000 and 150,000 ($93,547/QALY). Axi-cel was no longer cost effective if its 5-year EFS was 26.4% or lower. One-way sensitivity analysis demonstrated that second-line CAR T is cost effective up to a cost of $972,061 at a WTP of $150,000. Second-line axi-cel was the cost-effective strategy in 73% of the 10,000 Monte-Carlo iterations at a WTP of $150,000. Conclusions If the absolute benefit in EFS is maintained over time, second line axi-cel for aggressive RR-DLBCL is cost effective when compared to SOC at WTPs of $100,000 and $150,000/QALY. However, its cost effectiveness is highly dependent on long-term outcomes. Routine usage of second-line CAR T would add significantly to healthcare expenditures even when used in a high-risk subpopulation. Further reductions in cost of CAR T are needed.

Citation Format: Swetha Kambhampati, Monica Saumoy, Yecheskel Schneider, Lihua E. Budde, Alexey Danilov, Matthew Mei, Leslie Popplewell, Tanya Siddiqi, Jasmine Zain, Stephen Forman, Larry Kwak, Steven Rosen, Alex Herrera, Nikhil Thiruvengadam. Cost effectiveness of second line Axicabtagene ciloleucel in relapsed refractory diffuse large B-cell lymphoma [abstract]. In: Proceedings of the Third AACR International Meeting: Advances in Malignant Lymphoma: Maximizing the Basic-Translational Interface for Clinical Application; 2022 Jun 23-26; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2022;3(5_Suppl):Abstract nr A22.
Endoscopic Submucosal Dissection for Subepithelial Tumor Treatment in the Upper Digestive Tract: A Western, Multicenter Study
Authors: Manta Raffaele , Zito Francesco Paolo , Pugliese Francesco , Caruso Angelo , Mangiafico Santi , D’Alessandro Alessandra , Castellani Danilo , Germani Ugo , Mutignani Massimiliano , Conigliaro Rita Luisa , Bonetti Luca Reggiani , Matsuda Takahisa , De Francesco Vincenzo , Zullo Angelo , Galloro Giuseppe
Published: September 2022

Background/Aims: Endoscopic submucosal dissection (ESD) has been proposed for removal of gastrointestinal subepithelial tumors (GI-SETs), but data are still scanty. This study aimed to report a case series from a western country. Patients and Methods: Data of patients with upper GI-SETs suitable for ESD removal observed in 4 centers were retrospectively reviewed. Before endoscopic procedure, the lesion was characterized by endosonographic evaluation, histology, and CT scan. The en bloc resection and the R0 resection rates were calculated, as well as incidence of complications, and the 1-year follow-up was reported. Results: Data of 84 patients with esophageal (N = 13), gastric (N = 61), and duodenal (N = 10) GI-SETs were collected. The mean diameter of lesions was 26 mm (range: 12–110 mm). There were 17 gastrointestinal stromal tumors, 12 neuroendocrine tumors, 35 leiomyomas, 18 lipomas, and 2 hamartomas. En bloc and R0 resection were achieved in 83 (98.8%) and in 80 (95.2%) patients, respectively. Overall, a complication occurred in 11 (13.1%) patients, including bleeding (N = 7) and perforation (N = 4). Endoscopic approach was successful in all bleedings, but 1 patient who required radiological embolization, and in 2 perforations, while surgery was performed in the other patients. Overall, a surgical approach was eventually needed in 5 (5.9%), including 3 in whom R0 resection failed and 2 with perforation. Conclusions: Our study found that ESD may be an effective and safe alternative to surgical intervention for both benign and localized malignant GI-SETs.
Malignes Pleuramesotheliom: Künstliche Intelligenz in der Bildanalyse
Authors: Keymel Stefanie
Published: September 2022

Background: Background In malignant pleural mesothelioma (MPM), complex tumour morphology results in inconsistent radiological response assessment. Promising volumetric methods require automation to be practical. We developed a fully automated Convolutional Neural Network (CNN) for this purpose, performed blinded validation and compared CNN and human response classification and survival prediction in patients treated with chemotherapy. Methods: In a multicentre retrospective cohort study; 183 CT datasets were split into training and internal validation (123 datasets (80 fully annotated); 108 patients; 1 centre) and external validation (60 datasets (all fully annotated); 30 patients; 3 centres). Detailed manual annotations were used to train the CNN, which used two-dimensional U-Net architecture. CNN performance was evaluated using correlation, Bland-Altman and Dice agreement. Volumetric response/progression were defined as ≤30%/≥20% change and compared with modified Response Evaluation Criteria In Solid Tumours (mRECIST) by Cohen’s kappa. Survival was assessed using Kaplan-Meier methodology. Results: Human and artificial intelligence (AI) volumes were strongly correlated (validation set r=0.851, p<0.0001). Agreement was strong (validation set mean bias +31 cm3 (p=0.182), 95% limits 345 to +407 cm3). Infrequent AI segmentation errors (4/60 validation cases) were associated with fissural tumour, contralateral pleural thickening and adjacent atelectasis. Human and AI volumetric responses agreed in 20/30 (67%) validation cases κ=0.439 (0.178 to 0.700). AI and mRECIST agreed in 16/30 (55%) validation cases κ=0.284 (0.026 to 0.543). Higher baseline tumour volume was associated with shorter survival. Conclusion: We have developed and validated the first fully automated CNN for volumetric MPM segmentation. CNN performance may be further improved by enriching future training sets with morphologically challenging features. Volumetric response thresholds require further calibration in future studies.
Abstract 211: Modulating Inflammation In Atherosclerosis Through Engineered Anti-Inflammatory Cytokine Delivery
Authors: Volpatti Lisa R , Hubbell Jeffrey
Published: September 2022

Introduction:
Atherosclerosis is a chronic inflammatory disease resulting from the accumulation of low-density lipoprotein (LDL) in arterial walls. The anti-inflammatory cytokine IL-10 has been implicated in atherosclerosis with higher levels correlating with reduced lesion sizes. However, cytokine therapies have not translated well to the clinic partially due their rapid clearance and pleiotropic nature.

Methods:
Here, we use protein engineering approaches to target IL-10 to LDL and subsequently to atherosclerotic plaques. We fuse IL-10 to an antibody fragment against oxidized LDL and show by surface plasmon resonance that it binds to both native LDL and oxidized LDL while retaining its ability to phosphorylate STAT3 in RAW 264.7 macrophage/monocyte-like cells. We then use flow cytometry to evaluate immune cell populations in the aortas of apolipoprotein E
-/-
mice on a high fat diet after 4 weekly injections.

Results:
Mice treated with our targeted IL-10 fusion protein had significantly reduced numbers of total leukocytes in the aorta compared to nontreated mice after 12 weeks on a high fat diet (n=6, Figure 1a). The number of macrophage/monocyte cells which may contribute to foam cell populations in the plaque was similarly reduced (Figure 1b). No differences in immune cell populations were observed in the spleen, indicative of the localized treatment effect. Furthermore, neither native IL-10 nor IL-10 fused to an antibody fragment of irrelevant specificity (non-targeted IL-10) showed any reduction of immune cell infiltration in the aorta. These findings were reproduced in apolipoprotein E
-/-
mice fed a high fat diet for 9 weeks (n=8) to show that aortic immune cell infiltration is also reduced at earlier stages in atherosclerosis progression.

Conclusion:
Engineered cytokines that specifically target LDL effectively provide local immunosuppression and show promise in the prevention and treatment of atherosclerosis.$
Association of Rapid Response Teams With Hospital Mortality in Medicare Patients
Authors: Girotra Saket , Jones Philip G. , Peberdy Mary Ann , Vaughan-Sarrazin Mary S. , Chan Paul S. , Girotra Saket , Peberdy Mary Ann , Chan Paul , Grossestreuer Anne , Moskowitz Ari , Edelson Dana , Ornato Joseph , Churpek Matthew , Kurz Michael , Starks Monique Anderson , Perman Sarah , Goldberger Zachary
Published: September 2022

Background:

Although rapid response teams have been widely promoted as a strategy to reduce unexpected hospital deaths, most studies of rapid response teams have not adjusted for secular trends in mortality before their implementation. We examined whether implementation of a rapid response team was associated with a reduction in hospital mortality after accounting for preimplementation mortality trends.

Methods:

Among 56 hospitals in Get With The Guidelines-Resuscitation linked to Medicare, we calculated the annual rates of case mix–adjusted mortality for each hospital during 2000 to 2014. We constructed a hierarchical log-binomial regression model of mortality over time (calendar-year), incorporating terms to capture the effect of rapid response teams, to determine whether implementation of rapid response teams was associated with reduction in hospital mortality that was larger than expected based on preimplementation trends, while adjusting for hospital case mix index.

Results:

The median annual number of Medicare admissions was 5214 (range, 408–18 398). The median duration of preimplementation and postimplementation period was 7.6 years (≈2.5 million admissions) and 7.2 years (≈2.6 million admissions), respectively. Hospital mortality was decreasing by 2.7% annually during the preimplementation period. Implementation of rapid response teams was not associated with a change in mortality during the initial year (relative risk for model intercept, 0.98 [95% CI, 0.94–1.02];
P
=0.30) or in the mortality trend (relative risk for model slope, 1.01 per year [95% CI, 0.99–1.02];
P
=0.30). Among individual hospitals, implementation of a rapid response team was associated with a lower-than-expected mortality at only 4 (7.1%) and higher-than-expected mortality at 2 (3.7%) hospitals.

Conclusions:

Among a large and diverse sample of US hospitals, we did not find implementation of rapid response teams to be associated with reduction in hospital mortality. Studies are needed to understand best practices for rapid response team implementation, to ensure that hospital investment in these teams improves patient outcomes.