bluuebunny/crossref_metadata_2025 huggingface dataset:
Learning Video-Text Aligned Representations for Video Captioning
Authors: Shi Yaya , Xu Haiyang , Yuan Chunfeng , Li Bing , Hu Weiming , Zha Zheng-Jun
Published: July 2022

Video captioning requires that the model has the abilities of video understanding, video-text alignment, and text generation. Due to the semantic gap between vision and language, conducting video-text alignment is a crucial step to reduce the semantic gap, which maps the representations from the visual to the language domain. However, the existing methods often overlook this step, so the decoder has to directly take the visual representations as input, which increases the decoder’s workload and limits its ability to generate semantically correct captions. In this paper, we propose a video-text alignment module with a retrieval unit and an alignment unit to learn video-text aligned representations for video captioning. Specifically, we firstly propose a retrieval unit to retrieve sentences as additional input which is used as the semantic anchor between visual scene and language description. Then, we employ an alignment unit with the input of the video and retrieved sentences to conduct the video-text alignment. The representations of two modal inputs are aligned in a shared semantic space. The obtained video-text aligned representations are used to generate semantically correct captions. Moreover, retrieved sentences provide rich semantic concepts which are helpful for generating distinctive captions. Experiments on two public benchmarks, i.e., VATEX and MSR-VTT, demonstrate that our method outperforms state-of-the-art performances by a large margin. The qualitative analysis shows that our method generates correct and distinctive captions.
Hippodrome: Data Race Repair Using Static Analysis Summaries
Authors: Costea Andreea , Tiwari Abhishek , Chianasta Sigmund , R Kishore , Roychoudhury Abhik , Sergey Ilya
Published: July 2022

Implementing bug-free concurrent programs is a challenging task in modern software development. State-of-the-art static analyses find hundreds of concurrency bugs in production code, scaling to large codebases. Yet, fixing these bugs in constantly changing codebases represents a daunting effort for programmers, particularly because a fix in the concurrent code can introduce other bugs in a subtle way.

In this work, we show how to harness compositional static analysis for concurrency bug detection, to enable a new Automated Program Repair (APR) technique for data races in large concurrent Java codebases. The key innovation of our work is an algorithm that translates procedure summaries inferred by the analysis tool for the purpose of bug reporting into small local patches that fix concurrency bugs (without introducing new ones). This synergy makes it possible to extend the virtues of compositional static concurrency analysis to APR, making our approacheffective(it can detect and fix many more bugs than existing tools for data race repair),scalable(it takes seconds to analyze and suggest fixes for sizeable codebases), andusable(generally, it does not require annotations from the users and can performcontinuousautomated repair). Our study, conducted on popular open-source projects, has confirmed that our tool automatically produces concurrency fixes similar to those proposed by the developers in the past.
PANI-SWCNT Blends with PVA Nanocomposite Films: Structural, Morphological and Electrical Properties for Effective EMI Shielding Applications
Authors: Rani G Neeraja , M Kanaka Durga , P Raju
Published: July 2022

Hybrids of Polyaniline-Single walled carbon nanotube (PANI-SWCNT) nanocomposites were synthesized by in situ polymerization and are embedded in the polyvinyl alcohol (PVA) matrix to form nanocomposite films. X-ray diffraction technique (XRD), Fourier transform infrared spectroscopy (FTIR), and Field Emission Scanning Electron Microscopy (FESEM) were used to study structural and morphological properties which confirm the phase formation, characteristic infrared spectrum and surface morphology of the prepared films. Electrical, dielectric and electromagnetic properties were analyzed and found to enhance with increase of SWCNT in the films. The 3 wt% SWCNT loading film showed the highest AC conductivity with 18.37 × 10−5 S m−1 and maximum shielding effectiveness of 22.73 dB in X-band (8.2–12.4 GHz) region, among all other samples.
Non-Thermal Annealing of Gamma Irradiated GaN HEMTs with Electron Wind Force
Authors: Rasel Md Abu Jafar , Stepanoff Sergei , Haque Aman , Wolfe Douglas E. , Ren Fan , Pearton Stephen
Published: July 2022

Radiation damage mitigation in electronics remains a challenge because the only established technique, thermal annealing, does not guarantee a favorable outcome. In this study, a non-thermal annealing technique is presented, where electron momentum from very short duration and high current density pulses is used to target and mobilize the defects. The technique is demonstrated on 60Co gamma irradiated (5 × 106 rad dose and 180 × 103 rad h−1 dose rate) GaN high electron mobility transistors. The saturation current and maximum transconductance were fully and the threshold voltage was partially recovered at 30 °C or less. In comparison, thermal annealing at 300 °C mostly worsened the post-irradiation characteristics. Raman spectroscopy showed an increase in defects that reduce the 2-dimensional electron gas (2DEG) concentration and increase the carrier scattering. Since the electron momentum force is not applicable to the polymeric surface passivation, the proposed technique could not recover the gate leakage current, but performed better than thermal annealing. The findings of this study may benefit the mitigation of some forms of radiation damage in electronics that are difficult to achieve with thermal annealing.
Brachial artery blood flow by vascular ultrasound in education
Authors: Jamison James P. , Campbell Amy , Devlin Celine , Johnson Christopher D.
Published: July 2022

Ultrasound imaging has emergent prominence in clinical investigation and education. Vascular ultrasound also evaluates function. Simple methods are described that enable the application of basic ultrasound principles to the measurement of velocity and, importantly, to calculate absolute volumetric blood flow. These methods should be useful in undergraduate and graduate education, with application in clinical practice and research.
Consensus draft of the native mouse podocyte-ome
Authors: Hutzfeldt Arvid D. , Tan Yifan , Bonin Léna Lydie , Beck Bodo B. , Baumbach Jan , Lassé Moritz , Demir Fatih , Rinschen Markus M.
Published: July 2022

Podocytes are key components of glomerular filtration and are affected in various kidney diseases. Here, we present an integrated, robust definition of molecular identity across proteomic, single-cell transcriptomics, and bulk transcriptomic studies on native mouse podocytes. We created the “PodIdent” app, a novel knowledge base promoting access to the presence and expression of specific proteins for podocytes.
Oxidative stress contributes to reductions in microvascular endothelial- and nitric oxide-dependent dilation in women with a history of gestational diabetes
Authors: Stanhewicz Anna E. , Schlarmann Rowan L. , Brustkern Kaila M. , Jalal Diana I.
Published: July 2022

Women who have gestational diabetes during pregnancy are at greater risk for cardiovascular disease and type 2 diabetes in the decade following pregnancy. However, the mechanisms mediating this increased risk are unclear. Herein, we demonstrate that microvascular dysfunction, mediated by increase in oxidative stress, persists after pregnancy in women who had gestational diabetes, despite the remission of glucose tolerance.
Testosterone undecanoate administration prevents declines in fat-free mass but not physical performance during simulated multi-stressor military operations
Authors: Varanoske Alyssa N. , Harris Melissa N. , Hebert Callie , Howard Emily E. , Johannsen Neil M. , Heymsfield Steven B. , Greenway Frank L. , Margolis Lee M. , Lieberman Harris R. , Beyl Robbie A. , Church David D. , Ferrando Arny A. , Pasiakos Stefan M. , Rood Jennifer C.
Published: July 2022

This study demonstrated that a single intramuscular dose of testosterone undecanoate (750 mg) administered to physically active males before a 20-day simulated, multi-stressor military operation increased circulating total and free testosterone concentrations within normal physiological ranges and spared FFM. However, testosterone administration did not attenuate decrements in physical performance across multiple measures of power, strength, anaerobic or aerobic capacity.
Inducing oscillations in positive end-expiratory pressure improves assessment of cerebrovascular pressure reactivity in patients with traumatic brain injury
Authors: Tas Jeanette , Bos Kirsten D. J. , Le Feber Joost , Beqiri Erta , Czosnyka Marek , Haeren Roel , van der Horst Iwan C. C. , van Kuijk Sander M. J. , Strauch Ulrich , Brady Ken M. , Smielewski Peter , Aries Marcel J. H.
Published: July 2022

Cerebral autoregulation assessment requires sufficient slow arterial blood pressure (ABP) waves. However, spontaneous ABP waves may be insufficient for reliable cerebral autoregulation estimations. Therefore, we applied a ventilator “sigh-function” to generate positive end-expiratory pressure oscillations that induce slow ABP waves. This method demonstrated a reduced variability of the pressure reactivity index, commonly used as continuous cerebral autoregulation measure in a traumatic brain injury population.
The Gut Microbiota and Inflammatory Factors in Pediatric Appendicitis
Authors: Bi Yuewei , Yang Qianyu , Li Jiao , Zhao Xufeng , Yan Beilei , Li Xuan , Cui Hualei
Published: July 2022

Background. The study analyzed gut microflora’s composition and investigated the associations between the associations between gut dysbiosis and inflammatory indicators in pediatric patients with acute appendicitis. Methods. High-throughput sequencing and bioinformatics analysis were used to investigate the composition and diversity of gut microflora in 20 pediatric patients with acute appendicitis and 11 healthy children. Endpoints measured were operational taxonomic units (OTU) of gut microflora. The OTU and its abundance analysis, sample diversity analysis, principal component analysis of samples, differential analysis, and analysis of biomarkers were performed. Results. Overall fecal microbial richness and diversity were similar in patients and controls. Yet richness within the group of Bilophila, Eggerthella, Clostridium, Parvimonas, Megasphaera, Atopobium, Phascolarctobacterium, Adlercreutzia, Barnesiella, Klebsiella, Enterococcus, and Prevotella genera was higher in patients. Adlercreutzia was significantly positively correlated with IL-10, while the three other genera, comprising Klebsiella, Adlercreutzia, and Prevotella, were positively correlated with B cells level. Conclusion. Gut microbiome components are significantly different in pediatric patients with acute appendicitis and healthy children. The differential abundance of some genera is correlated with the production of inflammatory markers in appendicitis.
[Retracted] Silencing lncRNA 93358 Inhibits the Apoptosis of Myocardial Cells in Myocardial Infarction Rats by Inducing the Expression of SLC8A1
Authors: Cai Jiumei , Wang Xiaoping , Liao Wei , Zhong Yiming , Chen Lingling , Zhang Zhiwei
Published: July 2022

Objective. To explore the inhibitor effects and mechanism of lncRNA 93358 against the apoptosis of myocardial cells in rats with myocardial infarction. Methods. The myocardial infarction model was established in rats, which were identified by cardiac ultrasound. TTC staining was used to evaluate the degree of heart infarction, and HE staining was utilized to determine the pathological state in myocardial tissues. The apoptotic state in myocardial tissues was confirmed by TUNEL assay. lncRNA 93358 was screened out using a high‐throughput sequencing which was confirmed by RT‐qPCR. The interaction between miR‐466c‐3p and SLC8A1 was identified using the dual‐luciferase reporter assay. The expression level of Bax, Bcl‐2, and SLC8A1 was determined in lncRNA 93358 knockdown cells using RT‐qPCR and Western blotting Results. Massive myocardial necrosis was observed in model rats according to the results of TTC staining, HE staining, and TUNEL assay. lncRNA 93358 and Bax were found significantly upregulated, and Bcl‐2 and SLC8A1 were greatly downregulated in model rats, which were dramatically reversed by the knockdown of lncRNA 93358, accompanied by the decline area of myocardial necrosis and decreased apoptotic myocardial cells. Conclusion. Silencing lncRNA 93358 inhibits the apoptosis of myocardial cells in rats with myocardial infarction by inducing the expression of SLC8A1.
Design and Control of Modified Resonant Voltage Multiplier Rectifier for Photovoltaic Applications Using Electrolytic Capacitive Material
Authors: Shanmugam Sathish Kumar , Reddy C. Subba Rami , PRASAD S. V. G. V. A. , Narukullapati Bharath Kumar , Ramkumar R. , RajaSekhar G. G. , Subramaniam G. , Sivachitra M. , Anbarasu L. , Ladu Nyagong Santino David
Published: July 2022

In this paper, a modified resonant voltage multiplier rectifier (RVMR) has been developed to improve the voltage gain and efficiency of the proposed converter on PV interconnected renewable energy systems. To acquire the most energy from the PV source, the improved RVMR scheme uses an altered Perturb and Observe (P&O)‐based MPPT approach. This paper develops a modified variable step size P&O MPPT algorithm that can increase the PV system’s dynamic and steady‐state performance at the same time. The recommended variable step size technique addresses the constraints of traditional P&O MPPT. The suggested study uses the MATLAB/Simulink environment to analyze and evaluate voltage gain and efficiency.
COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers
Authors: Jafar Zaidi Syed Ali , Chatterjee Indranath , Brahim Belhaouari Samir
Published: July 2022

In recent years, COVID-19 has been regarded as the most dangerous pandemic for several countries. On various social media platforms, such as Twitter, Facebook, and Instagram, a variety of rumours, hypes, and news are published. This might have a detrimental impact on people’s life. As a result, social media platforms have always had a difficult time authenticating this fake information. Different machine learning (ML) and deep learning (DL) classifiers were used in this work to categorize the continuing impacts of tweets and forecast their after-effects. Support vector machine (SVM), random forest (RF), decision tree (DT), and k-nearest neighbor (KNN) were used for classification, while AdaBoost and convolutional neural network (CNN) were utilized for future effects. The tweets dataset from Kaggle was used to train the SVM, RF, KNN, and DT models, which were then assessed on multiple evaluation criteria such as accuracy, precision, recall, and F1-score, using a 70 : 30 ratio. The CNN and AdaBoost, on the other hand, have been taught to detect the mean square error, root mean square error, and mean absolute error. With 0.74 and 0.73 percent score out of 1, respectively, RF and SVM exhibit the best accuracy in impact when classifying the outcomes on the obtained dataset. In terms of a regression problem, CNN beat the ADA Regressor across the board.
Optimization of Dynamic Obstacle Avoidance Path of Multirotor UAV Based on Ant Colony Algorithm
Authors: Yang Yuexin , Chen Zhuoxun
Published: July 2022

In this paper, the real-time path avoidance problem of multirotor UAV in the case of sudden obstacles in two-dimensional environment is studied. The principle, model, and application of ant colony algorithm are analyzed. On this basis, the adaptive dynamic window ant colony algorithm is proposed, and the adaptive dynamic window method is designed; the heuristic function of adding obstacle detection factors and the double pheromone update strategy are made to the ant colony algorithm, and the improved ant colony algorithm is used to replan the path within the dynamic window that can be automatically adjusted to achieve the purpose of obstacle avoidance. A real-time simulation experiment of path planning was conducted by constructing an environment map in MATLAB. The simulation results show that with the continuous increase of the number of sudden obstacles, the real-time replacement path of multirotor UAV also gradually increases, and when approaching the obstacles, the replacement path is more dense, indicating that the adaptive window ant colony algorithm can be applied to dynamic path replacement, and the multirotor UAV can realize dynamic obstacle avoidance path optimization under the condition of sudden obstacles in a short time.
Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology
Authors: Wang Yi , Zhang Deqiang , Pei Shengliang , He Peiyong
Published: July 2022

A landslide monitoring technology based on BeiDouand, a wireless sensor network, is proposed in order to solve the problem that landslide has brought severe threat to people’s life and safety of property. The landslide monitoring system based on the BeiDouand wireless sensor network is analyzed and designed from the point of view of hardware and software. BeiDou message and GPRS double redundancy transmission mode are adopted to improve the reliability of transmission. It also adopts the factor compression method to improve the effectiveness of BeiDoutransmission and adopts queue management and packet scheduling mechanism to improve the real-time and reliability of wireless sensor network transmission. The result is that, as the number of visible satellites increases, the efficiency of the algorithm decreases. However, the overall efficiency of the algorithm has been significantly improved. When there are 28 visible satellites, the number of algorithm times decreases from 20,475 to 1,140, and the efficiency of the algorithm increases by 16.9 times. The GDOP simulated by the fast star selection algorithm proposed in this paper is less than 3.9, reaching an excellent grade.
The Effects of Switching from Sevoflurane to Short‐Term Desflurane prior to the End of General Anesthesia on Patient Emergence and Recovery: A Randomized Controlled Trial
Authors: Kim Ji Wook , Lee Jeong Yup , Hwang Si Won , Kang Dong-Hee , Ryu Sie Jeong , Kim Doo Sik , Kim Ju Deok
Published: July 2022

While sevoflurane and desflurane have been regarded as inhalation agents providing rapid induction and emergence, previous studies demonstrated the superiority of desflurane‐anesthesia compared to sevoflurane‐anesthesia in the postoperative recovery in obese and geriatric patients. We investigated whether a short‐term switch of sevoflurane to desflurane at the end of sevoflurane‐anesthesia enhances patient postoperative recovery profile in non‐obese patients. We randomly divide patients undergoing elective surgery (n = 60) into two groups: sevoflurane‐anesthesia group (Group‐S, n = 30) and sevoflurane‐desflurane group (Group‐SD, n = 30). In Group‐S, patients received only sevoflurane‐anesthesia until the end of surgery (for >2 hours). In Group‐SD, sevoflurane was stopped and switched to desflurane‐anesthesia before the completion of sevoflurane‐anesthesia (for approximately 30 minutes). We assessed the intergroup differences in the times to get eye‐opening, extubation, and a bispectral index of 80 (BIS‐80). Group‐SD showed significantly shorter times to get eye‐opening (438 ± 101 vs. 295 ± 45 s; mean difference, 143 s; 95% confidence interval [CI], 101–183; p < 0.001), extubation (476 ± 108 vs. 312 ± 42 s; mean difference, 164 s; 95% CI, 116–220; p < 0.001), and BIS‐80 (378 ± 124 vs. 265 ± 49 minutes; mean difference, 113 s; 95% CI, 58–168 p < 0.001) compared to Group‐S. There was no between‐group difference in postoperative nausea, vomiting, and hypoxia incidences. Our results suggested that the short‐term (approximately 30 minutes) switch of sevoflurane to desflurane at the end of sevoflurane‐anesthesia can facilitate the speed of postoperative patient recovery.
[Retracted] Prokineticins as a Prognostic Biomarker for Low‐Grade Gliomas: A Study Based on The Cancer Genome Atlas Data
Authors: Zhong Junqing , Xiang Ding , Ma Xinlong
Published: July 2022

Lower‐grade glioma (LGG) is a crucial pathological type of glioma. Prokineticins have not been reported in LGG. Prokineticins as a member of the multifunctional chemokine‐like peptide family are divided into two ligands: PROK1 and PROK2. We evaluated the role of PROK1 and PROK2 in LGG using TCGA database. We downloaded the datasets of LGG from TCGA and evaluated the influence of prokineticins on LGG survival by survival module. Correlations between clinical information and prokineticins expression were analyzed using logistic regression. Univariable survival and multivariate Cox analysis was used to compare several clinical characteristics with survival. Correlation between prokineticins and cancer immune infiltrates was explored using CIBERSORT and correlation module of GEPIA. We analyzed genes of PROK1 and PROK2 affecting LGG, screened differentially expressed genes (DEGs), interacted protein‐protein with DEGs through the STRING website, then imported the results into the Cytospace software, and calculated the hub genes. To analyze whether hub genes and prokineticins are related, the relationship between PROK1 and PROK2 and hub genes was assessed and shown by heat map. In addition, gene set enrichment analysis (GSEA) was performed using the TCGA dataset. The univariate analysis using logistic regression and PROK1 and PROK2 showed opposite expression differences between tumor and normal tissues (p < 0.05). PRO1 and PROK2 expressions showed significant differences in tumor grade, age, Iiscitrate DeHydrogenase (IDH) status, histological type, and 1P/19q codeletion. Multivariate analysis revealed that the up‐regulated PROK1 and PROK2 expression is an independent prognostic factor for bad prognosis. Specifically, prokineticin expression level has significant correlations with infiltrating levels of Th1 cells, NK CD 56bright cells, and Mast cells in LGG. We screened 21 DEGs and obtained 5 hub genes (HOXC10, HOXD13, SOX4, GATA4, HOXA9). GSEA‐identified FCMR activation, creation of C4 and C2 activators, and CD22‐mediated BCR regulation in gene ontology (GO) were differentially enriched in high PROK1 and PROK2 expression phenotype pathway, cytoplasmic ribosomal proteins, and ribosome and were differentially enriched in the low PROK1 and PROK2 expression phenotype pathway. Prokineticins are a prognostic biomarker and the correlation between hub genes and LGG requires further attention.
Panelist Acceptance, Proximate Characteristics of Amino Acids and Volatile Compounds, and Color Profile of Fermented Cempedak (Artocarpus champeden) and Oyster Mushroom (Pleurotus ostreatus) Seasoning
Authors: Rohmah Miftakhur , Saragih Bernatal , Amaliah Nur , Apriadi Rimbawan , Rahmadi Anton
Published: July 2022

The potential of mandai cempedak (Artocarpus champeden) powder to be mixed with other abundant raw materials such as oyster mushroom (Pleurotus ostreatus) as a flavoring ingredient is an exciting thing to study as a unique flavor source for the archipelago. This study aims to observe panelist acceptance, proximate characteristics of amino acid, volatile compounds, and color profiles on five mixed formulas of fermented cempedak (Artocarpus champeden) and oyster mushroom (Pleurotus ostreatus) seasoning. The five seasoning formulas combine 30–70% flavored mushroom powder and 30–70% mandai cempedak powder with control of commercial mushroom powder and pure mandai powder. Hedonic quality assessment on seasoning samples of flavored mushroom powder and mandai cempedak powder played a more critical role in the acceptance of the final product, with a slightly reddish yellow color tendency with a paleness level of around 66–67%. Seasoning samples had a savory taste with dominant amino acid profiles of ileusine (1.46%, w/w), glutamate (1.37%), methionine (0.82%), and aspartic acid (0.72%). All seasoning formulations of flavored mushroom and mandai cempedak powder have a moisture content of 8.4–10.9%, total protein 7.0–9.0%, soluble protein 2.4–3.5%, ash content 4.5–19.2%, fat content 2.3–4.5%, carbohydrates 62.7–79.4%, and the solubility is 31.0–89.4%. The dominant volatile compounds in seasoning are heptanone, dodecoxyethanol, and etradecyloxyethanol with pleasant aroma profiles, pungent fruity, green, citrus, and herbal. In conclusion, mandai cempedak powder to be mixed with other abundant raw materials such as oyster mushroom (Pleurotus ostreatus) can be used as a typical Indonesian flavor ingredient with unique characteristics in terms of its amino acid content, volatile compounds, and essential oils.
Research on Financial Development of Water Resources Enterprises Based on Blockchain Technology
Authors: Zhang Ruowei
Published: July 2022

From the perspective of economics, blockchain is simply an Internet, which can meet the needs of the sharing economy to a certain extent. With the development of the world, blockchain technology has developed in an explosive growth. At present, the systematic research on blockchain technology at home and abroad is still in its initial stage, mainly focusing on the application prospect, especially in the fields of traditional finance and digital currency. The development of environmentally friendly water resources enterprises has the support background of the country, and the financial impact of blockchain technology also affects environmentally friendly water resources enterprises. In order to explore the development of blockchain technology in water resources protection, based on the advantages and application status of blockchain technology, this paper firstly constructs a supply chain financial system model of water resources enterprises based on blockchain and secondly analyzes the financial environment of seven water enterprises in China by constructing a financial environment evaluation model. The results show that Chongqing Water has the highest target degree of 0.76 and target level of 3, indicating that the enterprise has good adaptability and maintains the stability of financial environment under the influence of blockchain technology. Furthermore, the asset valuation of Chongqing Water is analyzed by Monte Carlo method. The results show that, under the blockchain financial model, the fierce competition in the wealth management products market will make issuers lose their dominant position in pricing and reduce profits in order to attract investors.
Mulberry Leaf Flavonoids Inhibit Liver Inflammation in Type 2 Diabetes Rats by Regulating TLR4/MyD88/NF-κB Signaling Pathway
Authors: Duan Yuhui , Dai Hongyu , An Yongcheng , Cheng Long , Shi Lu , Lv Yinglan , Li Huimin , Wang Chen , He Changhao , Zhang Huilin , Huang Yan , Fu Wanxin , Meng Yanyan , Zhao Baosheng
Published: July 2022

The incidence of liver-related complications in type 2 diabetes mellitus (T2DM) is rapidly increasing, which affects the physical and mental health of T2DM patients. Mulberry leaf flavonoids (MLF) were confirmed to have certain effects on lowering blood glucose and anti-inflammation. In this study, the high-fat diet (HFD) + STZ method was used to establish T2DM rat model and the MLF was administered by gavage for eight weeks. During the experiment, body weight and blood glucose level were measured at different time points. The pathological changes of rat liver were observed by H&E staining. The serum glucolipid metabolic indicators of serum, fasting insulin (FINS), and inflammatory factors levels were detected by ELISA. The expression levels of toll-like receptor 4 (TLR4), TNF receptor-associated factor 6 (TRAF6), myeloid differentiation factor 88 (MyD88), inhibitor of NF-κB alpha (IκΒα), p-IκΒα, and nuclear factor kappa-B (NF-κB)/p65 protein in liver tissue were measured by Western Blot. After 8 weeks’ MLF treatment, the blood glucose of rats showed a downward trend; glycolipid metabolism level and insulin resistance were improved, which suggested that MLF could improve the disorder of glucose and lipid metabolism. The pathological damage and inflammation of the liver in T2DM rats were significantly improved, the levels of related serum inflammatory factors were reduced, and the expression of liver tissue-related proteins was downregulated. Our results indicated that MLF could reduce blood glucose and inhibit the development of liver inflammation. The mechanisms may be associated with the activation of TLR4/MyD88/NF-κB signal pathway to reduce the levels of inflammatory factors in serum.
Environmental Quality Optimization of Sustainable Rural Revitalization Strategy Based on Improved Genetic Algorithm
Authors: Zhang Guangqing , Zeng Zixuan
Published: July 2022

To address the environmental quality of sustainable rural revitalization strategies, an improved genetic algorithm-based approach is proposed, environmental quality of rural revitalization strategies. Firstly, an index system to comprehensively assess the settlement environment of rural people based on the “production-production-production” space is built and then forms the trinity theoretical guidance framework; secondly, value of information entropy used to evaluate the dispersion of an index calculates the weight of each indicator and provides the basis for a comprehensive multi-index assessment; thirdly, by analyzing the spatial differences of rural human settlement environment quality, the quality of human settlement in rural areas has a positive correlation with the level of regional economic development. It shows that based on improved genetic algorithm, the environmental quality of sustainable rural revitalization strategy has been greatly improved, the growth rate of the comprehensive score of rural living environment in most regions reached more than 14%, and the comprehensive score growth rate of some rural living environment was 4.52%.
The Statistical Analysis of Anomalous Anticyclone in Ocean Atmosphere and Economy Based on Target Tracking Algorithm
Authors: Wan Min , Sohail Mishal
Published: July 2022

Based on the importance of climate change in the environmental and economic fields, this study analyzes the impact of climate change on the economy based on the current situation, including the impact on sensitive industries and the impact on each district, in order to study the impact of abnormal atmospheric anticyclones on the economy. Furthermore, this study enhances the image-tracking algorithm, fuses the registered radar picture using the wavelet multiresolution analysis approach, and decomposes the registered radar image using the Mallat algorithm to retrieve the low- and high-frequency components of the image. Because the information included in the frequency components after wavelet decomposition differs, this study uses appropriate fusion algorithms for the decomposed low-frequency and high-frequency components, respectively, to produce panoramic photographs with acceptable visual effects. Through experimental research, it can be seen that the statistical analysis model of anomalous anticyclone in ocean atmosphere and economy based on the target tracking algorithm proposed in this study has a good simulation operation effect, and it also verifies that there is a certain correlation between the atmospheric anomalous anticyclone and the economy.
Applications of q-Symmetric Derivative Operator to the Subclass of Analytic and Bi-Univalent Functions Involving the Faber Polynomial Coefficients
Authors: Khan Mohammad Faisal , Khan Shahid , Khan Nazar , Younis Jihad , Khan Bilal
Published: July 2022

In this paper, using the basic concepts of symmetric

q

-calculus operator theory, we define a symmetric

q

-difference operator for

m

-fold symmetric functions. By considering this operator, we define a new subclass

ℛ

b

φ
,
m
,
q

of

m

-fold symmetric bi-univalent functions in open unit disk

U

. As in applications of Faber polynomial expansions for

f

m

∈

ℛ

b

φ
,
m
,
q

, we find general coefficient

a

m
k
+
1

for

n
≥
4

, Fekete–Szegő problems, and initial coefficients

a

m
+
1

and

a

2
m
+
1

. Also, we construct

q

-Bernardi integral operator for

m

-fold symmetric functions, and with the help of this newly defined operator, we discuss some applications of our main results. For validity of our result, we have chosen to give some known special cases of our main results in the form of corollaries and remarks.
Automatic System Design of Assembly Building Components for Sustainable Building Projects Based on BIM Technology
Authors: Wang Wenjing
Published: July 2022

The sustainable design that can consume minimal energy is the need of the hour. It has become a mainstream architectural design aim in recent years as a result of global environmental concerns. In light of global climate change, sustainable development is imperative to consider during architectural designs of the buildings and mega infrastructural projects. All the nations are developing assembly building tools widely to speed up the construction, but the material and design impact a lot, while we calculate the environmental factors such as carbon emissions. Assembly building component automation system is often used to complete components processing and to deliver the best project, which considers environmental concerns. The construction processing involves many factors such as carbon emission, energy consumption, waste management, and solar-based energy generation to make the overall project sustainable for energy. Therefore, this paper proposes a BIM-based (Building Information Modeling) assembly building component automation system targeted at adopting sustainability principles in the construction sector, which can consider various factors for maintaining eco-friendly environment. The BIM model of the assembled building components is designed and tested in a simulated environment. The system test result shows that the error rate of component design in this system is lower than that of the other two automation systems taken up for the comparative study and the proposed process is more stable, faster, and eco-friendly. Therefore, the design result of the assembly building component automation system based on BIM technology is scientific and effective for sustainable development.
A Ferroptosis Molecular Subtype‐Related Signature for Predicting Prognosis and Response to Chemotherapy in Patients with Chronic Lymphocytic Leukemia
Authors: Gong Han , Li Heng , Yang Qin , Zhang Guangxiong , Liu Hong , Ma Zekang , Peng Hongling , Nie Ling , Xiao Xiaojuan , Liu Jing
Published: July 2022

Ferroptosis is a type of regulated cell death catalyzed by the iron‐dependent accumulation of lipid hydroperoxides to lethal levels. Chronic lymphocytic leukemia (CLL) is a chronic lymphoproliferative disorder. However, the understanding of ferroptosis in CLL remains largely poor. In this study, we investigated the stratification and prognostic role of ferroptosis‐related genes in CLL patients of ICGC cohort. We obtained fourteen genes with prognostic value by screening 110 ferroptosis‐related genes (FRGs). Based on the expression profiles of these 14 genes, we classified CLL patients into two clusters. Most of the FRGs were highly expressed in cluster 1, and cluster 1 was associated with better overall survival (OS). Subsequently, we developed an eight‐gene signature (TP63, STEAP3, NQO1, ELAVL1, PRKAA1, HELLS, FANCD2, and CDKN2A) by using LASSO analysis. This risk signature divided CLL patients into high‐ and low‐risk groups. We used Cox regression analysis and ROC analysis demonstrated the risk signature was reliable and robust. And we validated the risk model in an external cohort (GSE22762). We also conducted enrichment analysis and genomic mutation analysis. Finally, we explored the potential effect of chemotherapy between the two risk groups. Our study contributed to understanding the role of ferroptosis in CLL and facilitated personalized and precision treatment.
Quality of Media Reporting of Suicide in Nepal
Authors: Sharma Pawan , Timasina Ravi Raj , Singh Swarndeep , Gyawali Shreeya , Marahatta Kedar , Arafat S. M. Yasir
Published: July 2022

Objectives. Suicide is a major public health concern. Sensible media reporting of suicide is one of the important prevention strategies. There has been no report assessing the quality of media reporting of suicide in Nepal. We aimed to assess the quality of newspaper reporting of suicide in Nepal against the World Health Organization (WHO) reporting guidelines. Methods. We undertook a content analysis study of articles from the online archives on reporting of suicide deaths in six English language (daily or weekly) newspapers published in Nepal over the two-year duration from a period between January 1, 2019, and December 31, 2020. Also, we compared them with the World Health Organization (WHO) guidelines. Results. A total of 165 English newspaper articles reporting on suicide were analyzed. 163 (98.8%) of news were published in the main section of the newspaper, and the mean length was 17.6 sentences. The name and age of the person who died of suicide were mentioned in about 69.1% (

n
=
114

) and 53.3% (

n
=
88

) articles, respectively. The most common method of suicide reported in the news articles was hanging (45.5%,

n
=
75

), followed by poisoning (11.5%,

n
=
19

). About 97.6% (

n
=
161

) of news articles violated the recommendation provided in the WHO guidelines. Conclusions. The adherence to the WHO guidelines for media reporting of suicide in Nepal was found to be poor, with a large majority of news reports having at least one potentially harmful media characteristic. Only a small minority of news reports included potentially helpful information to prevent suicide.
A Novel Numerical Technique for Fractional Ordinary Differential Equations with Proportional Delay
Authors: Liaqat Muhammad Imran , Khan Adnan , Akgül Ali , Ali Md. Shajib
Published: July 2022

Some researchers have combined two powerful techniques to establish a new method for solving fractional-order differential equations. In this study, we used a new combined technique, known as the Elzaki residual power series method (ERPSM), to offer approximate and exact solutions for fractional multipantograph systems (FMPS) and pantograph differential equations (PDEs). In Caputo logic, the fractional-order derivative operator is measured. The Elzaki transform method and the residual power series method (RPSM) are combined in this novel technique. The suggested technique is based on a new version of Taylor’s series that generates a convergent series as a solution. Establishing the coefficients for a series, like the RPSM, necessitates computing the fractional derivatives each time. As ERPSM just requires the concept of a zero limit, we simply need a few computations to get the coefficients. The novel technique solves nonlinear problems without the need for He’s and Adomian polynomials, which is an advantage over the other combined methods based on homotopy perturbation and Adomian decomposition methods. The relative, recurrence, and absolute errors of the problems are analyzed to evaluate the efficiency and consistency of the presented method. Graphical significances are also identified for various values of fractional-order derivatives. As a result, the procedure is quick, precise, and easy to implement, and it yields outstanding results.
Construction and Application of the Big Data Management System for Cultural and Creative Industries under the Background of Rural Revitalization
Authors: Luo Jing , Li Zhongwu
Published: July 2022

Rural cultural and creative industries continue to flourish. Because big data technology is fast and convenient, promoting the development of rural cultural and creative industries through the big data management system has attracted more and more attention. This paper constructs a big data management system platform and applies it to rural cultural and creative industries between different cities. Then, the paper systematically analyzes the development of rural creative industries and points out the corresponding measures to develop the rural creative industries. In general, this paper provides some research methods and experimental support for the cultural and creative industries.
Efficacy and Safety Differences between Domestic Paclitaxel Drug‐Coated Balloons and Metal Bare Stents in the Treatment of ASO of Femoral‐Popliteal Arteries Type IIA–C
Authors: Wei Fuqing , Huang Fenglei , Cui Fengkui
Published: July 2022

The aim in this study was to investigate the efficacy and safety of domestic paclitaxel‐coated balloon (DCB) and bare metal stent (BMS) in the treatment of Transatlantic Cooperative Organization Consensus II (ASC II) types A–C femoral‐popliteal arteriosclerosis obliterans (ASO). A total of 103 patients with ASC II A–C femoropopliteal ASO, who received treatment in our hospital from March 2020 to March 2021, were retrospectively selected and divided into the DCB group (n = 56) and BMS group (n = 47), according to treatment methods. The general clinical data and surgical results were compared between the two groups. The patients were followed up, and the primary patency rate, restenosis rate, freedom from target lesion revascularization (f‐TLR), and limb preservation rate were recorded. The liver and kidney functions before and after operation and the occurrence of major postoperative adverse events were recorded. The operation was successful in both groups. The minimum diameter of the DCB group was smaller than that of the BMS group after treatment (P < 0.05). At 6 and 12 months after operation, the Rutherford classification decreased and ABI index increased in both groups (P < 0.05), but there was no significant difference (P > 0.05). At 6 and 12 months after surgery, f‐TLR was significantly higher in the DCB group than in the BMS group (P < 0.05); at 12 months after surgery, the restenosis rate was lower in the DCB group than in the BMS group (P < 0.05). There was no significant difference in the primary patency rate and limb preservation rate at 6 and 12 months after operation between the two groups (P > 0.05). Before and after operation, there was no significant difference in liver and kidney function between the two groups (P > 0.05). Within 12 months after surgery, 1 patient in the DCB group developed puncture site hematoma 3 days after surgery, and 1 patient in the BMS group developed acute thrombosis 1 day after surgery, and no intervention‐related deaths occurred. Domestic paclitaxel DCB can achieve better f‐TLR and lower restenosis rate than BMS in the treatment of type II A–C femoral‐popliteal artery ASO. Short‐term and medium‐term efficacy and safety are comparable to BMS.
Research on the Relevance of Art Courses in Colleges and Universities Based on Data Mining
Authors: Huang Chunxia
Published: July 2022

With the development of educational informatization, the educational data of each school is increasing day by day. How to rationally use the existing information to make scientific teaching decisions is a problem that every educator is closely concerned about. This paper proposes a correlation analysis method for college art courses based on data mining technology. Through the study of association rules in data mining, the Apriori algorithm based on three-dimensional matrix is used to quickly mine student performance data, so as to obtain some reasonable and reliable courses. The results show that the method in this paper can find valuable information for curriculum setting from the actual teaching data, so as to reasonably optimize the curriculum, provide a decision-making basis for the revision of the art curriculum and syllabus in colleges and universities, and further improve the teaching effect and the quality of personnel training.
Distribution Technique of Green Material List for High-Rise Building Engineering in BIM Technology
Authors: Shi Xiaoxing , Wang Li
Published: July 2022

The current green material list allocation technique for high-rise building engineering has the issue of an unsatisfactory green material selection procedure, which results in excessive building energy consumption. Based on BIM technology, a green material list allocation technique for high-rise building engineering is proposed. Using the task-scheduling algorithm, extract the structural characteristics of high-rise buildings, select the appropriate basic form, optimize the green material selection process in conjunction with material demand, construct the building carbon-trading framework with BIM technology, simplify the construction process, adjust the physical host state, and design the list allocation mode. The average building energy consumption of the green material list allocation technique of high-rise building engineering in this study and the other two ways is 189.54 (kWh), 223.06 (kWh), and 232.68 (kWh), respectively, according to the experimental data. It has been demonstrated that the green material list allocation technique of high-rise construction engineering, when linked with BIM Technology, is more practicable.
Diagnostic Value of Abdominal B-Ultrasound for Congenital Heart Disease Complicated with Extracardiac Malformation in the Second Trimester of Pregnancy
Authors: Deng Yanming , Zhan Lili , Yu Zhouli , Wan Jianfang
Published: July 2022

Objective. To explore the diagnostic value of abdominal B-ultrasound in the diagnosis of congenital heart disease complicated with extracardiac malformations in the second trimester of pregnancy. Methods. 50 pregnant women with congenital cardiac malformations and extracardiac malformations diagnosed in our hospital from 2015 to 2019 were retrospectively analyzed. The diagnostic results and the types of congenital heart disease complicated with extracardiac malformations were compared to analyze the diagnostic value of abdominal B-ultrasound. Results. In the diagnosis of 50 fetuses with congenital heart disease and extracardiac malformation, the tetralogy of Fallot syndrome accounts for the largest proportion. Abdominal B-ultrasound in the second trimester was associated with a higher detection rate of fetal heart malformation (72%) versus in the third trimester (40%) (

P
<
0.05

). The single atrium and single ventricle had the highest diagnostic accuracy of fetal congenital heart malformation in the second trimester. The highest success rate of detection at different gestational weeks was observed at the 14th gestational week (

P
<
0.05

). Four-chamber cardiac section (4CV) had the lowest diagnostic accuracy (62%) for cardiac malformations, and the 4CV + three-vessel-trachea plane (3VVT) had the highest diagnostic accuracy (90%) for cardiac malformations. Conclusion. Abdominal B-ultrasound features a high diagnostic value for congenital heart disease complicated with extracardiac malformations in the second trimester of pregnancy, and the second trimester is the optimal detection timing with the highest detection accuracy.