bluuebunny/crossref_metadata_2025 huggingface dataset:
Supervision and Assistance Based on Mobile Information System in Art Video Teaching
Authors: Shi Yang
Published: June 2022

To enrich students’ learning methods, improve their interest in learning, and enable students to fully understand and master the content of art video teaching, a supervision and assistance function based on mobile information system in art video teaching is proposed. Starting with the purpose of improving the auxiliary effect of art video teaching, this study deeply discusses the construction of personalized art video mobile information teaching system based on mobile information technologies such as self-media auxiliary technology and computer-aided technology. Therefore, this study takes android technology mobile information system as a breakthrough to design the video teaching system and introduces the design of mobile teaching information platform in detail. At the same time, according to the relevant requirements of art video teaching, this study designs the teaching system from the aspects of improving students’ learning interest, promoting students’ curriculum preference information, efficient real-time teacher-student interaction, and so on. According to the requirements of the six sections, the function of the teaching supervision and management module is improved. Through the test of result extraction and data analysis, the feasibility of the user preference extraction and analysis algorithm and the content similarity discrimination algorithm is finally verified. The results show that after more than 10 times of reading, the graphics of video teaching content can basically solve the problem of comparative similarity of the same type of teaching content. At the same time, after more than 30 times of reading, the teaching content can basically solve the problem of small probability error of user system.
Metformin Can Enhance the Inhibitory Effect of Olaparib in Bladder Cancer Cells
Authors: Chi Bao-Jin , Sun Yao , Quan Ling-Li , Zhao Jin-Tao , Wei Bo , Wang Shu-Qiu
Published: June 2022

Background. Bladder cancer is a common urinary system tumor. In the treatment of clinical patients, it is particularly important to find an effective treatment method to inhibit tumor growth. The world’s first PARP inhibitor olaparib is mainly used for the treatment of BRCA1/BRCA2 mutated tumors. Metformin, an antidiabetic drug, has been reported to reduce cancer incidence in humans and improve survival in cancer patients. Methods. Cell viability and proliferation were detected by CCK-8 assay and colony formation assay; cell apoptosis was detected by flow cytometry; cell migration and invasion abilities were detected by scratch assay and Transwell assay; STAT3/C-MYC signaling pathway protein were detected by western blotting. Results. Olaparib combined with metformin has better effects on the proliferation, clone formation, migration, invasion, and apoptosis of bladder cancer cells than single drug, indicating that metformin can enhance the inhibitory effect of olaparib on tumor growth and regulate the expression of STAT3/C-MYC signaling pathway proteins. Conclusion. The results of this study showed that metformin could significantly enhance the antitumor effect of olaparib on bladder cancer cells, and these effects were mediated by downregulating STAT3/C-MYC signaling pathway proteins. This finding may have potential clinical application in the treatment of bladder cancer.
The Influence of Disney Musical Practice Course on the Mental Health of Chinese Left-Behind Children from the Perspective of Art Communication
Authors: Cao Wei
Published: June 2022

Background. In recent years, with a large number of rural people going out to work, the mental problems of left-behind children have been widely concerned by people from all walks of life. Objective. The purpose is to improve the teaching quality of music education of left-behind children and solve their unique mental problems. Methods. Based on the questionnaire survey, the mental state of left-behind children is studied, and the mental problems of left-behind children are intervened based on musical practice classes. First, the left-behind children’s mental status is studied. Second, through the questionnaire, the left-behind children’s music classroom status is studied and analyzed. Then, the musical classroom intervention experiment is designed to prevent and adjust the left-behind children’s mental problems. Results. The results show that more than 90% of left-behind children spend less than one month with their parents every year. Most of the left-behind children are supervised by their grandparents, and 68% of them have been accompanied by their grandparents for more than nine months. Due to the lack of parents’ company, most of the left-behind children are lack of self-confidence and timid and tend to care about others’ opinions. Musical practice classes have a good effect on the regulation and prevention of left-behind children’s mental problems. Conclusions. This study uses a questionnaire survey method to explore the new form of left-behind children’s music classroom, preventing and regulating left-behind children’s mental problems, which provides a reference for the research in related fields.
Dietary Exposure to Aflatoxins in Some Randomly Selected Foods and Cancer Risk Estimations of Cereals Consumed on a Ghanaian Market
Authors: Kortei Nii Korley , Annan Theophilus , Richard Seidu A. , Boakye Adjoa A. , Tettey Clement O. , Essuman Edward Ken , Aninagyei Enoch , Agbemeseli Precious
Published: June 2022

Aflatoxins have gained so much reputation among all mycotoxins due to their notoriety in causing countless adverse health effects on humans as well as animals. It continues to be a major concern in food safety globally. In this study, total and constitutive aflatoxins levels as well as the carcinogenic risks posed by 110 food and feed samples (55 cereals, 20 nuts and oils, 18 animal feed, and 18 fruits and vegetables) collected from the Ho Central market in the Volta region, Ghana, were assessed. Using high-performance liquid chromatography connected to a fluorescent detector (HPLC-FLD), levels of total aflatoxins (AFtotal) and aflatoxins constituents, namely, AFB1, AFB2, AFG1, and AFG2, were analyzed. By using the model prescribed by Joint FAO/WHO Expert Committee on Food Additives (JECFA), the risks posed by the food and feed samples were determined. The degrees of toxicity were in the ranges of 0.78–234.73 μg/kg, 0.47–21.6 μg/kg, 1.01–13.75 μg/kg, and 0.66–5.51 μg/kg, respectively, for AFB1, AFB2, AFG1, and AFG2. Out of the samples analyzed for AFtotal, about 51 (46.4%) exceeded the limits of GSA and were in the range 10.63 ± 1.20–236.28 ± 4.2 μg/kg. While for EFSA, 71 (64.54%) exceeded and ranged between 4.72 ± 0.28 and 236.28 ± 4.2 μg/kg. Furthermore, estimated daily intake (EDI) of 27.10–283.70 ng/kg·bw/day, margin of exposure (MOE) of 1.409–14.76, average potency of 0–0.00396 ng aflatoxins/kg·bw/day, and cancer risks with a range of 0.107–1.122 cases/100,000 person/yr were observed. Taken together, it could be concluded that consuming cereals pose adverse effects on human health regardless of the age of the consumer.
Analysis of the Influence of Comprehensive Nursing Intervention on Vital Signs and Negative Emotions of Patients with Gastrointestinal Polyps Treated by Digestive Endoscopy
Authors: Shi Yaer , Sang Jianzhong , Sang Yimao
Published: June 2022

This research sets out to elucidate the influence of comprehensive nursing intervention (CNI) on vital signs (VSs) and negative emotions (NEs) of patients with gastrointestinal polyps treated by digestive endoscopy. To address this, from January 2020 to February 2021, 92 cases of gastrointestinal polyps treated by digestive endoscopy in the Yuyao People’s Hospital of Zhejiang Province were partitioned into two different groups: the control group (CG; n = 46) intervened by routine nursing intervention, and the research group (RG; n = 46) treated by CNI based on routine care. The VSs, NEs, time of first postoperative exhaust and defecation, early food intake, length of stay (LOS), quality of life (QOL), nursing satisfaction, and the incidence of postoperative complications were compared between groups. When entering the operating room, elevated systolic/diastolic (SBP/DBP) was observed in CG compared with RG (

P
<
0.05

) while there was no statistical difference in SBP/DBP in RG before intervention and when entering the operating room (

P
>
0.05

). Statistically, less time of first exhaust and defecation as well as LOS and early food intake were observed in RG (

P
<
0.05

). The HAMA and HAMD scores declined in both arms postintervention, and the decrease was more obvious in RG (

P
<
0.05

). After intervention, the scores of various domains of GQOLI-74 elevated in both arms, and the increase was more obvious in RG (

P
<
0.05

). RG also showed a lower total complication rate and a higher degree of nursing satisfaction than CG (

P
<
0.05

). CNI for patients with gastrointestinal polyps treated by digestive endoscopy can obviously relieve their anxiety and depression, with stable VSs, short LOS, and low incidence of complications.
Identification of Flavonoid C-Glycosides as Promising Antidiabetics Targeting Protein Tyrosine Phosphatase 1B
Authors: Rampadarath Athika , Balogun Fatai Oladunni , Pillay Charlene , Sabiu Saheed
Published: June 2022

Protein tyrosine phosphatase 1B (PTP1B), a negative regulator of the insulin signaling pathway, has gained attention as a validated druggable target in the management of type 2 diabetes mellitus (T2DM). The lack of clinically approved PTP1B inhibitors has continued to prompt research in plant-derived therapeutics possibly due to their relatively lesser toxicity profiles. Flavonoid C-glycosides are one of the plant-derived metabolites gaining increased relevance as antidiabetic agents, but their possible mechanism of action remains largely unknown. This study investigates the antidiabetic potential of flavonoid C-glycosides against PTP1B in silico and in vitro. Of the seven flavonoid C-glycosides docked against the enzyme, three compounds (apigenin, vitexin, and orientin) had the best affinity for the enzyme with a binding score of –7.3 kcal/mol each, relative to –7.4 kcal/mol for the reference standard, ursolic acid. A further probe (in terms of stability, flexibility, and compactness) of the complexes over a molecular dynamics time study of 100 ns for the three compounds suggested orientin as the most outstanding inhibitor of PTP1B owing to its overall -34.47 kcal/mol binding energy score compared to ursolic acid (-19.24 kcal/mol). This observation was in accordance with the in vitro evaluation result, where orientin had a half maximal inhibitory concentration (IC50) of 0.18 mg/ml relative to 0.13 mg/ml for the reference standard. The kinetics of inhibition of PTP1B by orientin was mixed-type with

V

max

and

K

m

values of 0.004 μM/s and 0.515 μM. Put together, the results suggest orientin as a potential PTP1B inhibitor and could therefore be further explored in the management T2DM as a promising therapeutic agent.
The Gut Microbiota Dysbiosis in Preeclampsia Contributed to Trophoblast Cell Proliferation, Invasion, and Migration via lncRNA BC030099/NF-κB Pathway
Authors: Tang Rong , Xiao Gong , Jian Yu , Yuan Qiongjing , Jiang Chun , Wang Wei
Published: June 2022

Background. Preeclampsia (PE) is the main reason of maternal and perinatal morbidity and mortality. Gut microbiota imbalance in PE patients is accompanied by elevated serum lipopolysaccharide (LPS) levels, but whether it affects the occurrence and development of PE, the underlying mechanism is not clear. This paper intends to investigate the relationship between lncRNA BC030099, inflammation, and gut microbiota in PE. Methods. The feces of the patients were collected, and gut microbiota changes were assessed by 16S rRNA sequencing and pathway analysis by PICRUSt. Next, we examined LPS and lncRNA BC030099 levels in feces or placenta of PE patients. Then, we knocked down lncRNA BC030099 in HTR-8/SVneo cells and added the NF-κB pathway inhibitor JSH-23. CCK-8 and Transwell assays were performed to determine cell proliferation, migration, and invasion. Western blot was utilized to evaluate MMP2, MMP9, snail, and E-cadherin, p-IκBα, IκBα, and nuclear NF-κB p65 levels. IL-6, IL-1β, and TNF-α levels were examined by ELISA. Results. Gut microbiota was altered in PE patients, and microbial genes associated with LPS biosynthesis were significantly elevated in gut microbiota in the PE group. LPS level in feces and placenta of PE group was significantly elevated. lncRNA BC030099 level in placenta of PE group was also notably promoted. Knockdown of lncRNA BC030099 promoted HTR-8/SVneo cell proliferation, migration, and invasion. Knockdown of lncRNA BC030099 also elevated MMP2, MMP9, and snail levels and repressed E-cadherin level. In addition, lncRNA BC030099 affected NF-κB pathway. Furthermore, NF-κB inhibitor reversed HTR-8/SVneo cell proliferation, invasion, and migration induced by LPS. Conclusions. The gut microbiota dysbiosis in PE contributed to HTR-8/SVneo cell proliferation, invasion, and migration via lncRNA BC030099/NF-κB pathway.
Multiobjective Optimization Design of Green Building Energy Consumption Based on Inorganic Thermal Insulation Nanomaterials
Authors: Yuan Yuan , Li Songtao
Published: June 2022

In order to solve the problem that building engineering construction needs to consume a lot of energy and cause environmental pollution, which will pose a great pressure on urban resources and environment, this paper proposes that, in building engineering construction, appropriate green construction technology must be selected in combination with the actual situation, so as to effectively reduce the energy consumption of building engineering and improve the use efficiency of building engineering. Firstly, good thermal insulation nanomaterials are selected, which are cost-effective, safe, and nontoxic and has small thermal conductivity, large heat storage coefficient, stable chemical performance, and good construction performance. Secondly, it also needs to be selected according to the actual service life of the building. Because the current evaluation system is mostly aimed at the planning and design stage, and the structure occupies a large part in the building, for example, the impact on the construction period accounts for more than 50% and the impact on the cost accounts for 35%. Therefore, Duan Xiaorong and others established the grey cluster evaluation model of green building structure design based on the triangular whitening weight function. Finally, according to the relevant national regulations, this paper optimizes the design of green buildings based on the basic principles of energy conservation and emission reduction, high quality, and high efficiency.
Combining Latent Factor Model for Dynamic Recommendations in Community Question Answering Forums
Authors: Usman Muhammad , Ahmad Farwa , Habib Usman , Cheema Adeel Ashraf , Aftab Muhammad Umar , Ahmad Muhammad
Published: June 2022

Community Question Answering (CQA) web service provides a platform for people to share knowledge. Quora, Stack Overflow, and Yahoo! Answers are few sites where questioners post their queries and answerers respond to their respective queries. Due to the ease of use and quick responsiveness of the CQA platform, these sites are being widely adopted by the community. For better usability, there is a dire need to route the question toward the relevant answerers. To fulfil this gap, recommender systems play an important role in identifying the relevant answerers. To map the user interests more effectively, this research work proposed a dynamic feature representation of the latent user attributes for user profiling. The latent features are mapped by leveraging the Latent Dirichlet Allocation (LDA) for topic modelling of user data. The proposed recommendation model segments the user profile based on these latent user profiles incorporating the incremental learning of the users’ interests to produce the relevant recommendations in near real time. The experimental setup generated recommendation lists of variable sizes and evaluated using multiple evaluation metrics, such as mean average precision, recall, throughput, and different quality metrics, such as discounted cumulative gain and mean reciprocal rank. The results showed that the proposed model provided a better quality of recommendations in CQA forums, which is promising for future research in this domain.
Toxicogenic Fungi, Aflatoxins, and Antimicrobial Activities Associated with Some Spices and Herbs from Three Selected Markets in Ho Municipality, Ghana
Authors: Kortei Nii Korley , Djaba Barnabas Teye , Tettey Clement Okraku , Agyemang Alfred Ofori , Aninagyei Enoch , Essuman Edward Ken , Boakye Adjoa Agyemang , Annan Theophilus
Published: June 2022

Spices and herbs are widely used food ingredients that enhance most organoleptic features of prepared foods. They are also used for medicinal and preservative purposes. Spices and herbs are potential carriers of bacteria, yeasts, and molds due to the nature of cultivation, harvest methods, storage conditions, packaging procedures, distribution, sale, and general handling. Although some fungi have been identified to be associated with most spices and herbs elsewhere in the world, little has been done on the presence of fungi in spices and herbs in Ghana. This study sought to identify the toxicogenic fungal profiles, mycotoxins (aflatoxins) present in some herbs, bay leaf (Laurus nobilis) and garden egg leaves (“gboma”) (Solanum macrocarpon), and spices, ginger (Zingiber officinale) and “dawadawa”(Parkia biglobosa), as well as to investigate the antimicrobial properties of the selected herbs and spices. The decimal reduction technique was used to plate onto Dichloran Rose Bengal Chloramphenicol (DRBC) agar media plates for fungal growth. Aflatoxin detection was carried out with high-performance liquid chromatographer connected to a fluorescence detector (HPLC-FLD). Antimicrobial properties were carried out using the agar diffusion method on solidified, freshly prepared Mueller-Hinton agar. A total of 12 species belonging to 7 genera, Aspergillus (niger, flavus, fumigatus, and ochraceus), Fusarium (oxysporum, verticillioides), Mucor (racemosus), Penicillium (digitatum, expansum), Rhizopus (stolonifer), Rhodotorula sp., and Trichoderma harzianum, were identified as fungal contaminants. Fusarium oxysporum was the most predominant species identified. Fresh ginger recorded the greatest number of colony-forming units (3.71 log10 CFU/g) with bay leaves recording the least number of colony counts (2.36 log10 CFU/g). Mycotoxin concentration detected in gboma was

2.06
±
0.07
 
μ
g
/
kg

and in dawadawa was

2.13
±
0.09
 
μ
g
/
kg

; however, mycotoxins were not detected in bay leaf and ginger. Ginger exhibited antibacterial activity against all bacteria ranging from

7.0
±
0.0
 
mm

to

12.0
±
5.66
 
mm

zones of inhibition. Ginger, bay leaf, and gboma extracts displayed fair antimicrobial activity against the bacteria investigated. On the other hand, dawadawa generally produced the least resistance against the five bacterial species but exhibited the highest zone of inhibition. All samples were slightly acidic with pH readings ranging from 5.81 to 6.76.
Research and Implementation of Civil Residence Right of Internet of Things for Smart Home
Authors: Fu Liling , Zhao Pengcheng , Xiao Han
Published: June 2022

With the progress of the times, Internet of things technology is increasingly close to public life, which provides great support for the promotion of an intelligent and convenient lifestyle. The basic research on computer technology can form a contemporary emerging Internet of things technology, which has brought a great breakthrough to the information industry. Internet of things technology has brought a new model to home design. At the same time, through China’s proposal of various schemes, it has more effectively promoted the effective application of smart home. In order to improve the credibility of technical evidence in civil litigation of housing residence right, this research generates a big data portrait algorithm of water and electricity behavior characteristics through a fuzzy neural network (FNN) Fourier function (FFT), remote real-time meter reading data and generates feature code comparison algorithm of civil evidence of civil residence right (CRR) through machine learning decision technology (MLDT). As an important part of the court evidence chain, the in-depth mining of electric energy meters and water meters in the smart home Internet of things technology (IOTT) provides technical evidence for the actual residents of a specific house at a specific time. In this study, FNN and MLDT are used to directly judge the machine learning results of evidence required for ordinary civil court debate. The software that constructs the algorithm in the python big data analysis software environment has higher judgment ability for the house ownership confirmation algorithm and has significant advantages. The technical way to obtain the confirmation result of housing residence right is also significantly better than other results. With the support of other relevant evidence, the conclusion of the software can form an evidence chain to meet the needs of civil defense, and the credibility of its technical evidence is very high. In the simulation analysis, although the algorithm designed in this study can not achieve 100% data expression, it also has comparative advantages.
[Retracted] Analysis on the Efficacy of Bronchial Artery Chemoembolization Combined with 125I Seed Implantation in the Therapy of Advanced Non‐Small‐Cell Lung Cancer Based on the Medical Database
Authors: Xie Peng , He Lidong , Zhang Yan
Published: June 2022

Objective. To investigate the use and the efficacy of bronchial artery chemoembolization combined with 125I seed implantation in advanced non‐small‐cell lung cancer (NSCLC) therapy based on the medical database. Methods. A total of 102 patients with advanced NSCLC were randomly divided into two groups. The control group was treated with 125I seed implantation, and the observation group was treated with bronchial artery chemoembolization (BACE) combined with 125I seed implantation based on medical database. The clinical efficacy, carcinoembryonic antigen (CEA), cytokeratin 19 fragment antigen 21‐1 (CYFRA21‐1), glycan antigen 125 (CA125), peripheral blood CD3+, CD8+, CD4+/CD8+ T cells, insulin‐like growth factor type 1 receptor (IGF‐1R), S100 calcium‐binding protein A2 (S100A2), long‐term efficacy (time to disease progression, six‐month survival rate, and one‐year survival rate), and safety were then analyzed. Result. The disease remission rate in the observation group was 62.75%, which was higher than that in the control group (41.18%). After 1 month and 3 months of treatment, the levels of serum CYFRA21‐1, CEA, CA125, and IGF‐1R were lower, while serum S100A2 was higher in the observation group than in the control group (P < 0.05). For safety assessment, we found that the incidences of neutropenia, thrombocytopenia, and gastrointestinal reactions had no statistical differences between two groups. The time to disease progression in the observation group was 129.85 d longer than that in the control group, 89.74 d, and the six‐month survival rate and 1‐year survival rate were higher in the observation group relative to the control group. Conclusion. Medical database‐based BACE combined with 125I seed implantation in the therapy of advanced NSCLC patients has definite efficacy with certain safety, which can enhance antitumor effect and prolong survival rate in advanced NSCLC patients.
Understanding the Immune System in Fetal Protection and Maternal Infections during Pregnancy
Authors: Hussain Tarique , Murtaza Ghulam , Kalhoro Dildar Hussain , Kalhoro Muhammad Saleem , Yin Yulong , Chughtai Muhammad Ismail , Tan Bie , Yaseen Anjaleena , Rehman Zia Ur
Published: June 2022

The fetal-maternal immune system determines the fate of pregnancy. The trophoblast cells not only give an active response against external stimuli but are also involved in secreting most of the cytokines. These cells have an essential function in fetal acceptance or fetal rejection. Other immune cells also play a pivotal role in carrying out a successful pregnancy. The disruption in this mechanism may lead to harmful effects on pregnancy. The placenta serves as an immune barrier in fetus protection against invading pathogens. Once the infections prevail, they may localize in placental and fetal tissues, and the presence of inflammation due to cytokines may have detrimental effects on pregnancy. Moreover, some pathogens are responsible for congenital fetal anomalies and affect almost all organs of the developing fetus. This review article is designed to address the bacterial and viral infections that threaten pregnancy and their possible outcomes. Moreover, training of the fetal immune system against the exposure of infections and the role of CD49a + NK cells in embryonic development will also be highlighted.
An Intelligent Fusion Model with Portfolio Selection and Machine Learning for Stock Market Prediction
Authors: Padhi Dushmanta Kumar , Padhy Neelamadhab , Bhoi Akash Kumar , Shafi Jana , Yesuf Seid Hassen
Published: June 2022

Developing reliable equity market models allows investors to make more informed decisions. A trading model can reduce the risks associated with investment and allow traders to choose the best-paying stocks. However, stock market analysis is complicated with batch processing techniques since stock prices are highly correlated. In recent years, advances in machine learning have given us a lot of chances to use forecasting theory and risk optimization together. The study postulates a unique two-stage framework. First, the mean-variance approach is utilized to select probable stocks (portfolio construction), thereby minimizing investment risk. Second, we present an online machine learning technique, a combination of “perceptron” and “passive-aggressive algorithm,” to predict future stock price movements for the upcoming period. We have calculated the classification reports, AUC score, accuracy, and Hamming loss for the proposed framework in the real-world datasets of 20 health sector indices for four different geographical reasons for the performance evaluation. Lastly, we conduct a numerical comparison of our method’s outcomes to those generated via conventional solutions by previous studies. Our aftermath reveals that learning-based ensemble strategies with portfolio selection are effective in comparison.
Quality Evaluation Method of College Sports Long Jump Training Course Based on Genetic Algorithm
Authors: Han Bing , Wang Zhen , Zhao Zhilong
Published: June 2022

In order to improve the accuracy of the quality evaluation of college sports long jump training courses, this paper studies the quality evaluation method of college sports long jump training courses based on a genetic algorithm. According to the purpose of college long jump training course evaluation, basic principles of teaching quality evaluation and classroom teaching evaluation standards constructs the establishment process of evaluation index system and calculates the weight of long jump training course quality evaluation index based on AHP method, so as to provide index basis for subsequent quality evaluation; The quality evaluation model of the long jump training course is constructed based on the genetic algorithm. Through cross operation and mutation operation based on adaptive mutation probability, the high accuracy evaluation of college sports long jump training course quality is realized. The experimental results show that the evaluation accuracy of this design method is higher than 97.21%, and the evaluation satisfaction is higher than 97.15%, which significantly improves the accuracy of the university sports long jump training courses and has practical significance in the course evaluation.
Diagnostic Value of Susceptibility‐Weighted Imaging Combined with Diffusion‐Weighted Imaging in Early Intracerebral Hemorrhage
Authors: Song Zhanqiang , Peng Junhong , Li Xia , Shen Guiping
Published: June 2022

Objective. The incidence of early intracerebral hemorrhage (ICH) is gradually increasing and has been shown to affect an increasing number of younger people. Conventional imaging modalities might have a low detection rate of early and small ICH lesions. This study aimed to investigate the diagnostic value of susceptibility‐weighted imaging (SWI) combined with diffusion‐weighted imaging (DWI) in early ICH. Materials and Methods. The data of 61 patients with early ICH diagnosed by computed tomography (CT) scan between January 2019 and February 2020 were assessed. Using CT as the gold standard, we compared the diagnostic sensitivity, accuracy, and imaging characteristics of SWI + DWI versus SWI or DWI alone. Results. A total of 78 lesions were detected by CT in 61 patients with early ICH. The diagnostic sensitivity and accuracy of SWI + DWI were significantly higher than those of SWI or DWI alone. In terms of imaging characteristics, DWI demonstrated very low signal intensity in the hematoma center at different stages of early ICH with high signal intensity in the surrounding tissue, and the signal range gradually increased over time. By contrast, SWI displayed very low signal intensity at different stages, and the signal intensity also gradually increased over time. Conclusion. Compared with SWI or DWI alone, SWI combined with DWI could improve the detection rate of hematoma lesions in patients with early ICH.
The Health-Related Quality of Life of Patients Waiting for Anterior Cruciate Ligament Reconstruction Is Worse Than an Age- and Sex-Matched Population: Increasing Time on Waiting List for Surgery Was Independently Associated with a Worse Quality of Life
Authors: Sripada Siddharth , Loader Harrison , Kam Man Hei Marcus , Raja Arslan Khaliq , Haggart Joshua , Fawcett Thomas , Peattie Cameron , Molyneux Samuel , Clement Nicholas
Published: June 2022

Background. The aims of this study were to assess the health-related quality of life (HRQoL) of patients awaiting anterior cruciate ligament (ACL) reconstruction compared to the population at risk: whether knee-specific function was predictive of HRQoL and to identify factors associated with a worse HRQoL. Methods. Sixty-seven patients (male, n = 50; female, n = 17; mean age, 29) identified from the surgical waiting list completed a questionnaire that included demographics, BMI, time of injury, EuroQol 5-dimension (EQ-5D), Short-Form (SF-36), and International Knee Documentation Committee (IKDC) scores. Age- and sex-matched HRQoL data were obtained from population level data. Results. The mean EQ-5D score for the study cohort was significantly worse than the matched score (difference, 0.367;

p
<
0.001

), and the same trend was observed for all eight dimensions of the SF-36 score. Thirty-three (49%) patients felt their health, in general, was somewhat or much worse compared to one year ago. There was a correlation between IKDC and EQ-5D scores (r = 0.540,

p
<
0.001

). Linear regression was used to formulate the EQ-5D score: EQ-5D = (IKDCx0.013)–0.015 (constant). The SF-36 physical component and length of time on the waiting list were independently associated with the HRQoL, with each 14-point drop or for every 200 days, a clinically significant deterioration in patients’ HRQoL occurred, respectively. Conclusions. Patients had a significantly worse HRQoL when compared to the age- and sex-matched population, which deteriorates with worsening physical function and increasing length of time on the waiting list. The knee-specific IKDC correlated with HRQoL and could be used to estimate the EQ-5D score.
On the Performance of the Unified NOMA Framework for Satellite-Terrestrial Networks with Hardware Impairments
Authors: Zhao Jinlong , Yue Xinwei , Kang Shaoli , Tang Wanwei
Published: June 2022

A unified nonorthogonal multiple access (NOMA) framework for satellite-terrestrial network is investigated over Shadowed-Rician fading channels, which can be applied to both power domain NOMA (PD-NOMA) and code domain NOMA (CD-NOMA). Under the realistic assumption of hardware impairments (HIs) and imperfect successive interference cancellation (SIC), the achievable outage probability of the paired users is analyzed first, and the closed-form expressions of exact and asymptotic outage probability are derived. Next, the ergodic sum rate is investigated in different levels of HIs and residual interference. In addition, the energy efficiency in the delay-tolerant transmission mode is studied to characterize the performance of the satellite-terrestrial network. Finally, the Monte Carlo simulation results demonstrate the accuracy of theoretical derivation and showcase the effects of a wide range of satellite channel parameters and the realistic assumption on outage probability, ergodic rate, and energy efficiency.
Remote Vocal Singing Course Design Based on Embedded System and Internet of Things
Authors: Yu Peng-Jiang , Xiong Mao-Zhu
Published: June 2022

Distance learning, a new style of teaching, can create a strong sensation of presence through real and vivid communication. It is set to reach a communication effect of deep impression and a lasting memory. It can also obtain students’ course learning records in a timely manner. Students can adjust the teaching content through various learning feedback to meet the requirements of learners. However, for those traditional courses that must be taught in person, such as vocal singing teaching, there is an urgent need to adapt to the new distance learning model. In the teaching methodology of vocal singing, there are often high requirements for equipment in terms of sound, such as radio, encoding, and playback. However, there are very few requirements for images. Nowadays, the distance course platform cannot meet the basic content of vocal teaching. It is even more unable to promote teaching according to the material and personalized teaching. Therefore, this paper proposes a remote vocal singing course design based on an embedded system and the Internet of Things. The research paper meets the basic vocal teaching needs in terms of not only hardware but also remote learning. It can improve student motivation. Combined with network technology, it greatly stimulates students’ sensory thinking of learning. It also improves the teachers’ understanding of students’ singing skills and personalized teaching strategies for different students with specified content. According to their own learning aptitude and learning history, the system may select the instructional materials that the students have not learned. It may provide pupils with the best learning option based on their past selection records. Distance education may give a tailored interface using artificial intelligence. In conclusion, the distance learning system based on the AI networks project is feasible.
The Extension of Auxiliary Problem Principle for Solving Dynamic Economic Dispatch Problem in Power Systems
Authors: Ren Yaming
Published: June 2022

In this paper, we study the convex optimization problem with linear constraint, and the objective function is composed of m separable convex functions. Considering the special case where the objective function is composed of two separable convex functions, the auxiliary problem principle (APP) is an effective parallel distributed algorithm for solving the special case. Inspired by the principle of APP, a natural idea to solve separable convex optimization problem with m ≥ 3 is to extend the method of APP, resulting in the APP‐like algorithm. The convergence of the APP‐like algorithm is not clear yet. In this paper, we give a sufficient condition for the convergence of the APP‐like algorithm. Specifically, the APP algorithm is a special case of the APP‐like algorithm when m = 2. However, simulation results show that the convergence efficiency of the APP‐like algorithm is affected by the selection of penalty parameter. Therefore, we propose an improved APP‐like algorithm in this paper. Simulation results show that the improved APP‐like algorithm is robust to the selection of penalty parameter and that the convergence efficiency of the improved APP‐like algorithm is better when compared with the APP‐like algorithm.
Effect of Intensive Psychological Care on Patients with Benign Breast Lumps after Mammotome-Assisted Tumor Resection
Authors: Xu Ping , Xu Ronghua , Yang Qingfeng , Zhu Hongfeng
Published: June 2022

Objective. The aim of the study was to evaluate the effect of intensive psychological care on patients with benign breast lumps after Mammotome-assisted tumor resection. Methods. A total of 160 patients with benign breast lumps diagnosed and treated in our hospital between May 2019 and January 2021 were recruited and divided into a study group (n = 80) and a control group (n = 80) via the random number table method. All patients received Mammotome-assisted tumor resection. Patients in the control group received conventional nursing, and those in the study group received intensive psychological care. The outcome measure included quality of life of patients, psychological states, treatment compliance, and nursing satisfaction. Results. The differences in the Functional Assessment of Cancer Therapy-General (FACT-G) scores, self-rating anxiety scale (SAS) scores, Hamilton Depression Rating Scale (HAMD) scores, and Morisky scores between the two groups were not significant before the intervention (

p
>
0.05

). The FACT-G scores improved in both groups after the intervention, with higher results in the study group than those in the control group (

p
<
0.05

). Patients in the study group showed a significantly greater reduction in the SAS and HAMD scores than those in the control group (

p
<
0.05

). Intensive psychological care used in the study group resulted in significantly higher compliance scores in the body mass control, medication compliance, exercise compliance, and dietary compliance versus conventional care for the control group (

p
<
0.05

). Conclusion. Intensive psychological care provides satisfactory outcomes in patients with benign breast lumps after Mammotome-assisted tumor resection. It effectively improves the quality of life of patients, relieves their negative emotions, and strengthens treatment compliance and patient satisfaction, which shows good potential for clinical promotion.
The Application of Machine Learning Models in Network Protocol Vulnerability Mining
Authors: Liu Tieming
Published: June 2022

With the development of society, humans are becoming more and more dependent on the Internet. And there are exploitable vulnerabilities in network sharing protocol vulnerabilities that will cause great risks to individuals and society. Therefore, vulnerability mining technology has developed into an important research problem in the field of information security. To this end, this paper uses fuzzy testing method for vulnerability mining of network protocols. The fuzzy testing technique performs vulnerability mining by sending a large amount of abnormal data to the test target and monitoring whether the software system is working properly. The vulnerability mining approach in this paper prioritizes the need to analyze and model the protocol format and generate a large number of test cases by using fuzzy test values to vary the boundaries of different parts of the protocol. These test cases are then sent to the test target, and the network state and process state of the test target are monitored in real time. Finally, if the test cases trigger a vulnerability, the system automatically records the test case information as well as the vulnerability information. The test cases evaluated by machine learning as easy to trigger vulnerabilities are sent to the test H-target, which can save the time of vulnerability mining for everyone and improve the efficiency of vulnerability mining. The vulnerability mining technology researched in this paper is of great significance to network security, which can prevent problems before they occur, discover vulnerabilities in the network in time, take effective measures to prevent them, and possibly avoid the spread of some major network vulnerability viruses.
The Application of English Vocabulary Education Informatization under 5G and Cloud Computing Environment
Authors: Zhang Fangli
Published: June 2022

In the 5G and cloud computing environment, autonomous learning based on smart mobile devices has a significant effect on improving students’ vocabulary and vocabulary use. This paper adopts a combination of vocabulary testing and interviews, and by building an autonomous English vocabulary learning platform based on 5G and cloud computing technology, learners can learn and use vocabulary in real natural contexts anytime, anywhere through smart mobile devices. Experimental results show that real-time interaction and collaboration with teachers and other learners during the learning process greatly improve the efficiency and quality of their vocabulary learning.
Abstract P1-07-06: The relationship between Klintrup-Makinen score and cancer-specific survival in primary operable breast cancer
Authors: Morrow ES , Gujam F , Mohammed ZMA , McMillan DC , Edwards J
Published: June 2022

Introduction

It is increasingly being recognised that cancer prognosis is dependent on a complex interaction of tumour factors and the host response. The degree of inflammatory response at the invasive tumour edge, as measured by the Klintrup-Makinen score, has been shown to have prognostic relevance in some cancers but its role in breast cancer remains unclear.

Aim

To evaluate the relationship between Klintrup-Makinen score and prognosis in primary operable breast cancer.

Methods

Patients who underwent surgery for primary operable invasive breast cancer between 1995 and 2007 were studied. Full section haematoxylin and eosin slides from surplus tissue from each breast cancer were analysed. Each was visually scored for the level of inflammatory infiltrate at the invasive edge of the tumour, according to Klintrup-Makinen criteria. Kaplan Meier survival analysis was performed using SPSS.

Results

1195 patients were included in the study, of which 298 had a Klintrup-Makinen score (KM) of 0 (no inflammatory cells at the invasive edge), 589 had a score of 1, 238 had a score of 2 and 70 had a Klintrup-Makinen score of 3 (high inflammatory cell infiltrate). 833 (69.7%) patients were ER positive and 172 (14.4%) patients were HER2 positive. Median follow up was 158 months (28-183) and there were 234 cancer deaths. Patients with the highest and lowest KM scores had the best prognosis (10 year breast cancer specific survival (BCSS) 84% for KM score 3 and 82% for KM score 0), while those with KM score 2 had the worst prognosis with 67% 10 year cancer specific survival (p=0.003). When analysed by subtype, in ER negative patients 10 year BCSS was 95% in KM 0 patients, 80% for KM 3, 72% for KM 1 and 67% for KM 2 (p=0.082). Conversely, in HER2 positive patients, the best prognosis was seen in patients with KM 3 with 86% 10 year BCSS but patients with KM 0 had the worst prognosis (BCSS 62%), but this did not reach significance (p=0.544).

Conclusion

The Klintrup-Makinen score appears to have a prognostic role in primary operable invasive breast cancer, however there is a suggestion that it varies between tumour subtypes. Further work is required to further define this role for each molecular subtype.

Citation Format: Morrow ES, Gujam F, Mohammed ZMA, McMillan DC, Edwards J. The relationship between Klintrup-Makinen score and cancer-specific survival in primary operable breast cancer [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-07-06.
Adoptive Cellular Therapy with Autologous Tumor-Infiltrating Lymphocytes and T-cell Receptor–Engineered T Cells Targeting Common p53 Neoantigens in Human Solid Tumors
Authors: Kim Sanghyun P. , Vale Nolan R. , Zacharakis Nikolaos , Krishna Sri , Yu Zhiya , Gasmi Billel , Gartner Jared J. , Sindiri Sivasish , Malekzadeh Parisa , Deniger Drew C. , Lowery Frank J. , Parkhurst Maria R. , Ngo Lien T. , Ray Satyajit , Li Yong F. , Hill Victoria , Florentin Maria , Masi Robert V. , Paria Biman C. , Levin Noam , Bera Alakesh , Hedges Elizabeth A. , Choi Agnes , Chatani Praveen D. , Parikh Anup Y. , Levi Shoshana , Seitter Samantha , Lu Yong-Chen , Zheng Zhili , Prickett Todd D. , Jia Li , Hernandez Jonathan M. , Hoang Chuong D. , Robbins Paul F. , Goff Stephanie L. , Sherry Richard M. , Yang James C. , Rosenberg Steven A.
Published: June 2022

Adoptive cellular therapy (ACT) targeting neoantigens can achieve durable clinical responses in patients with cancer. Most neoantigens arise from patient-specific mutations, requiring highly individualized treatments. To broaden the applicability of ACT targeting neoantigens, we focused on TP53 mutations commonly shared across different cancer types. We performed whole-exome sequencing on 163 patients with metastatic solid cancers, identified 78 who had TP53 missense mutations, and through immunologic screening, identified 21 unique T-cell reactivities. Here, we report a library of 39 T-cell receptors (TCR) targeting TP53 mutations shared among 7.3% of patients with solid tumors. These TCRs recognized tumor cells in a TP53 mutation- and human leucocyte antigen (HLA)-specific manner in vitro and in vivo. Twelve patients with chemorefractory epithelial cancers were treated with ex vivo–expanded autologous tumor-infiltrating lymphocytes (TIL) that were naturally reactive against TP53 mutations. However, limited clinical responses (2 partial responses among 12 patients) were seen. These infusions contained low frequencies of mutant p53–reactive TILs that had exhausted phenotypes and showed poor persistence. We also treated one patient who had chemorefractory breast cancer with ACT comprising autologous peripheral blood lymphocytes transduced with an allogeneic HLA-A*02–restricted TCR specific for p53R175H. The infused cells exhibited an improved immunophenotype and prolonged persistence compared with TIL ACT and the patient experienced an objective tumor regression (-55%) that lasted 6 months. Collectively, these proof-of-concept data suggest that the library of TCRs targeting shared p53 neoantigens should be further evaluated for the treatment of patients with advanced human cancers.

See related Spotlight by Klebanoff, p. 919