bluuebunny/crossref_metadata_2025 huggingface dataset:
Short Communication: Prevalence of Listeria monocytogenes in Raw Milk of Healthy Sheep and Goats
Authors: Sepahvand Fatemeh , Rashidian Ehsan , Jaydari Amin , Rahimi Heidar
Published: May 2022

Listeria monocytogenes, one of the most important bacterial pathogens transmitted through milk, causes listeriosis in humans and animals. This study aimed to investigate the prevalence of L. monocytogenes in raw milk of healthy sheep and goats in the west of Iran (Lorestan Province) by touchdown PCR (TD-PCR). Listeria spp. were found in milk samples taken from 21 sheep (29.16%) and 3 goats (10.71%) whereas L. monocytogenes was isolated from milk samples taken from 4 sheep (5.55%) and 1 goat (3.75%). The results showed that there was a significant difference between sheep and goats in the prevalence of Listeria spp. in their raw milk (

p
<
0.05

), but no significant difference was observed between them in the prevalence of L. monocytogenes. The study findings suggested that the raw milk of healthy sheep and goats was infected with L. monocytogenes and warned of the risk of human infection with listeriosis following consumption of raw and unpasteurized milk.
Analysis of Root Canal Anatomy of Mandibular Permanent Incisors in Saudi Subpopulation: A Cone-Beam Computed Tomography (CBCT) Study
Authors: Almohaimede Amal , Alqahtani Alanoud , Alhatlani Norah , Alsaloom Nouf , Alqahtani Shafia
Published: May 2022

This study aimed to evaluate the root canal anatomy of central and lateral mandibular incisors in a Saudi population using cone-beam computed tomography (CBCT). Overall, 1370 CBCT images of central (687) and lateral (683) mandibular incisors of Saudi patients who attended the Dental College at King Saud University in Riyadh were examined. The number of roots and canals, canal configuration types, symmetry between bilateral incisors, and the effect of gender and age were determined. For data analysis, the chi-square test was applied, and the p value was set at ≤0.05. Only one tooth had two roots, and 41% of mandibular incisors had two canals. The most common canal configuration type observed was type I (58.83%), followed by type III (28.24%). Type V was more common in men (8.31%) than women (3.9%). Bilateral symmetries were higher in the mandibular central incisors regarding the root and canal numbers and the canal configuration types (100, 100, and 97.92%, respectively) than in the lateral incisors (99.69, 98.16, and 97.24%, respectively). The 21–40 age group showed a higher proportion of teeth with more complicated root canal anatomy than the other age groups. More than one canal in mandibular incisors is a common finding in the Saudi subpopulation, with the type III canal configuration as the most common type.
Endovascular Intervention in a Narrowing Vessel of the Left Vertebral Artery with Bilateral Common Carotid Artery Occlusion and Aneurysm Rupture and Hemorrhage in the V4 Segment of the Right Vertebral Artery
Authors: Feng Yang , Peng Han , Xiang Xin , Zeng Xi , Sun Bin , Lin Hongyi , Wang Xiaofeng , Yang Hua
Published: May 2022

In this study, a case of bilateral common carotid artery occlusion and aneurysm in the V4 segment of the right vertebral artery with constriction of the left vertebral artery is presented. By improving digital subtraction angiography, an elderly female patient with subarachnoid haemorrhage (SAH) was diagnosed with a V4 segment of right vertebral artery aneurysm, a microaneurysm at the beginning of basilar aneurysms, bilateral common carotid artery occlusion, and narrowing vessel of left vertebral artery (DSA). Through the compensation of the basilar artery, the bilateral vertebral arteries provide intracranial and extracranial blood. Because the vertebral artery is narrowed, the right vertebral artery has priority in intracranial and extracranial blood delivery. Many members of the patient’s immediate family have vasculitis, which has yet to be proven by appropriate laboratory testing but is thought to be the major cause of big artery occlusion. After cerebral angiography, the major source of this subarachnoid haemorrhage was determined to be a V4 segment of right vertebral artery aneurysm. Endovascular stent-assisted coil embolization was used to treat a V4 section of the right vertebral artery aneurysm. Because the basilar aneurysm was distal to the artery, interventional embolization was difficult to do, and it was not the major cause of the subarachnoid haemorrhage, the patient was advised to have follow-up surveillance, and she recovered well following the procedure. The combination of endovascular intervention of bilateral common carotid artery blockage and V4 segment of right vertebral artery aneurysm yielded excellent clinical outcomes in this instance. Endovascular treatment of a bilateral common carotid artery blockage paired with a V4 segment of a right vertebral artery aneurysm yielded excellent clinical outcomes in this patient, although long-term follow-up is necessary.
Accurate Marketing Algorithm of Network Video Based on User Big Data Analysis
Authors: Su Yan
Published: May 2022

Due to the continuous progress of the era of mega data, it is more and more important to carry out accurate marketing of online video. Based on the analysis of users’ big data, this paper proposes and implements an online video precision marketing algorithm, which provides a reference for the precision marketing strategy of video websites. This paper introduces the concept and characteristics of precision marketing and analyzes the application forms of precision marketing of video websites. It also summarizes the operation system, operation mode of precision marketing, and the influence of online video advertising on enterprises and users. In order to realize the accurate marketing of big data, it needs to be carried out from three parts: data collection, data analysis, and marketing plan formulation and implementation. Through continuously collecting customer data, it gradually and clearly acquires the characteristics of customers and constantly dynamically adjusts the marketing strategy to customers, so as to accurately conduct video marketing to customers and greatly improve the marketing efficiency. In order to test the effectiveness of the marketing algorithm in this paper, we conducted an experiment. The research in this paper has important practical value and reference significance for reducing the cost of video advertising of enterprises and improving the communication effect of online video advertising.
Clinical Efficacy, Healing Efficacy, and Safety Analysis of Skin Orbicularis Oculi Muscle Combined with Tissue Flap for Eyelid Trauma
Authors: Chen Jie , Xiao Chao , Su Na , Han Yubo , Liang Zhai , Han Chao , Yu Wenjuan
Published: May 2022

This study investigates the efficacy, healing efficiency, and safety of skin orbicularis oculi muscle combined with tissue flap repair for eyelid trauma patients. According to the different methods of surgical intervention, this study chooses 78 cases of eyelid injury patients. This study sets up the joint intervention group and the routine repair group, including the joint intervention group adopting the orbicularis oculi muscle skin of composite tissue flap to repair surgery. The routine repair group is treated by conventional repair skin flap transfer operation. Spearman correlation coefficient is used to analyze the correlation between postoperative healing of eyelid trauma patients and quality of life (SF‐36) and self‐image satisfaction (BIS) scale scores. The surgical intervention of skin orbicularis oculi muscle combined with tissue flap for patients with eyelid trauma has a better plastic repair effect in clinical practice. It can also effectively reduce the risk of postoperative complications, which is conducive to improve the postoperative quality of life and self‐image satisfaction of patients.
Voice Recognition and Evaluation of Vocal Music Based on Neural Network
Authors: Wang Xiaochen , Wang Tao
Published: May 2022

Artistic voice is the artistic life of professional voice users. In the process of selecting and cultivating artistic performing talents, the evaluation of voice even occupies a very important position. Therefore, an appropriate evaluation of the artistic voice is crucial. With the development of art education, how to scientifically evaluate artistic voice training methods and fairly select artistic voice talents is an urgent need for objective evaluation of artistic voice. The current evaluation methods for artistic voices are time-consuming, laborious, and highly subjective. In the objective evaluation of artistic voice, the selection of evaluation acoustic parameters is very important. Attempt to extract the average energy, average frequency error, and average range error of singing voice by using speech analysis technology as the objective evaluation acoustic parameters, use neural network method to objectively evaluate the singing quality of artistic voice, and compare with the subjective evaluation of senior professional teachers. In this paper, voice analysis technology is used to extract the first formant, third formant, fundamental frequency, sound range, fundamental frequency perturbation, first formant perturbation, third formant perturbation, and average energy of singing acoustic parameters. By using BP neural network methods, the quality of singing was evaluated objectively and compared with the subjective evaluation of senior vocal professional teachers. The results show that the BP neural network method can accurately and objectively evaluate the quality of singing voice by using the evaluation parameters, which is helpful in scientifically guiding the selection and training of artistic voice talents.
Precolumn Derivatization High-Performance Liquid Chromatography for Determination of Perfluorocarboxylic Acids in Catalytic Degradation Solutions
Authors: Yang Liping , Sun Binbin , Cui Haochen , Zhu Lingyan , Shan Guoqiang
Published: May 2022

Perfluoroalkyl carboxylic acids (PFCAs), a series of ubiquitous contaminants in the global environment, attracted much attention due to their potential for high bioaccumulation and toxicity to various organisms. There are a lot of measurement requests in currently increasing degradation studies of PFCAs, which usually rely on expensive liquid chromatography-mass spectrometry (LC-MS). The degradation solutions containing high-concentration PFCAs can easily cause the pipeline pollution of the LC/MS instrument, which is usually used for trace analysis of environmental samples. In this study, a simple and reliable precolumn derivatization LC method coupled with an ultraviolet detector (UV) was developed for the determination of the main PFCAs (C4-9) of environmental concern. These PFCAs in degradation solutions were crosslinked to UV-responsive 3, 4-diphenylamine (DCA) by a carbodiimidization method, followed by a simple solid-phase extraction (SPE) cleanup, and quantitatively measured using a conventional LC-UV instrument. Compared to previously reported precolumn derivatization methods, this new derivatization approach has the advantages such as mild reaction conditions, easy operation, enhanced stability of derivatives, and low cost. The instrumental limits of detection (ILDs) for the targeted PFCAs in organic and aqueous mediums were 0.2–0.5 and 0.6–1.5 mg/L, respectively. The method has been successfully applied to the determination of PFCAs in catalytic degradation solutions and recommended for use in other assays involving relatively high-concentration PFCAs.
Air Waves Induced by Truck Passage in a Slender Motorway
Authors: Rizzo Fabio , Pistol Aleksander , Viskovic Alberto , Petrangeli Marco
Published: May 2022

The interaction between a pedestrian bridge for a motorway crossing and air pressure waves induced by the truck passage is discussed with reference to a slender footbridge in Pregnana (Italy). The experimental campaign was necessary, as very significant vibrations induced by truck passage were observed during the construction process before building the reinforced concrete plate on the deck. Results obtained from monitoring the air pressures and accelerations caused by the truck passage under the bridge along with truck speeds have shown a phenomenon known as a piston effect occurring during the passage. Based on the statistical analysis of these measured values, the spatial distribution of the wave on the bridge was elaborated. Numerical analyses of the bridge without the reinforced concrete plate on the deck suggest that the piston effect should be calculated to safely construct light bridges.
A Novel U-Net Based Deep Learning Method for 3D Cardiovascular MRI Segmentation
Authors: Lu Yinan , Zhao Yan , Chen Xing , Guo Xiaoxin
Published: May 2022

Medical multiobjective image segmentation aims to group pixels to form multiple regions based on the different properties of the medical images. Segmenting the 3D cardiovascular magnetic resonance (CMR) images is still a challenging task owing to several reasons, including individual differences in heart shapes, varying signal intensities, and differences in data signal-to-noise ratios. This paper proposes a novel and efficient U-Net-based 3D sparse convolutional network named SparseVoxNet. In this network, there are direct connections between any two layers with the same feature-map size, and the number of connections is reduced. Therefore, the SparseVoxNet can effectively cope with the optimization problem of gradients vanishing when training a 3D deep neural network model on small sample data by significantly decreasing the network depth, and achieveing better feature representation using a spatial self-attention mechanism finally. The proposed method in this paper has been thoroughly evaluated on the HVSMR 2016 dataset. Compared with other methods, the method achieves better performance.
Panspinal Epidural Abscess: A Devastating Complication of Group B Streptococcal Bacteremia
Authors: Awan Rehmat Ullah , Nabeel Ambreen , Alsaggaf Mohammed
Published: May 2022

Background. SEAs are infrequent; however, panspinal infections are even rarer, especially when GBS infection is involved. The cornerstone of treatment is based on early diagnosis and use of targeted antimicrobial therapy; in case of cord compression or neurological compromise, urgent surgical intervention should be pursued. Overall, it is an infrequent condition and therefore requires prospective multicenter studies. Case Presentation. We describe a case who presented with diabetic lower extremity wounds; however, soon the patient developed bowel and bladder incontinence in the setting of back pain, secondary to panspinal epidural abscess. The patient’s case is unique in two aspects: firstly, it is panspinal, and secondly, its causative agent is GBS. Conclusion. Prompt diagnosis of SEA is critical in the preservation of neurological function. Anyone presenting with fevers, back pain, and neurological changes should have urgent MRI evaluation of the spine.
Therapeutic Effect of Tendon Bone Setting Technique and Sports Training on Joint Injury
Authors: Yang Jihong
Published: May 2022

Purpose. In this study, we observe the therapeutic influence on tendon and bone setting technique, combined with sports training on joint injury. Methods. Using the random number method, 50 research objects with joint injuries were divided into two groups: treatment group and control group, and each group had 25 cases. The treatment group was combined with sports training with tendon and bone setting technique, and the control group was given intermediate frequency electrotherapy combined with forearm brace fixation. The scores of visual analogue scale (VAS), forearm pronation and postrotation activity, integral electromyogram (iEMG), and research object-rated wrist evaluation (PRWE) were evaluated and compared before and after treatment, and the curative effect observation (blind method was used in the evaluation process) and research object satisfaction were evaluated. Results. After the treatment, the VAS score of two groups decreased, forearm pronation and pronation activity increased, iEMG value increased, and PRWE scale score decreased (

p

 < 0.05), and compared with the control group, the treatment group’s curative effect was better (

p

 < 0.05), and compared with the control group, treatment group’s total effective rate was higher (

p

 < 0.05). Conclusion. The method of tendon and bone setting combined with sports training could effectively reduce the pain of research objects with joint injury, improve the rotation range of the forearm, increase the recruitment of the pronator muscles, and improve the wrist function of the research objects, and the curative effect was better than that of medium frequency electrotherapy combined with forearm brace fixation.
Assessing the Spatial Variability of Soil Properties to Delineate Nutrient Management Zones in Smallholder Maize-Based System of Nigeria
Authors: Peter-Jerome Helen , Adewopo Julius B. , Kamara Alpha Y. , Aliyu Kamaluddin T. , Dawaki Mansur U.
Published: May 2022

Spatially explicit information on soil variability is relevant for agronomic decisions; however, such information is limited in the northern Guinea savanna (NGS) agroecological zone of Nigeria. This study was conducted to delineate soil nutrient management zones (MZs), based on spatial variability of soils in the smallholder maize-based farming system within the NGS. Two hundred and eighty-nine soil samples were analyzed for some physical and chemical properties. Principal component analysis (PCA) was used to aggregate the soil properties into four principal components, which accounted for about 60% of the variation in the data, and spatial variability was assessed with a semivariogram. The ordinary kriging technique was used to predict soil properties at unsampled locations, while weighted overlay analysis was conducted to delineate nutrient management zones. Results showed that total nitrogen (0.06%), available phosphorus (5.6 mg kg−1), organic carbon (0.66%), and effective cation exchange capacity (5.6 cmol(+) kg−1) are below optimal requirement for maize production. Four MZs were identifiable in the region with the highest fertility (MZ3 and MZ4) associated with the northern area but covering a relatively small part (9.1%). The differences observed in soil properties among the MZs suggest that each zone requires different agronomic management, especially in relation to fertilizer application.
Multilayer Graph-Based Deep Learning Approach for Stock Price Prediction
Authors: Alshara Mohammed Ali
Published: May 2022

Although a strategy for predicting stock prices using relational data has been described recently, no practical way for selecting aggregating various forms of relational data to forecast stock prices has been discovered. The authors present an upgraded multilayer node graph attention network (FHAN) model that incorporates the Fraudar algorithm and provides insight into the interaction between several items. The model, which regards businesses as nodes and interactions as edges, aggregates data from various connection types and adds it to each company’s node representation, which is then automatically fed into the task-specific layer select information. The testing findings indicate that this approach is more accurate in stock price prediction than the currently popular neural network methodology. The experiment compares several distinct neural network algorithms. This approach is more accurate than the previous method when ideal parameters are used. The average rise is around 4%, while the largest increase is 24%.
Needle-Warming Moxibustion plus Multirehabilitation Training to Improve Quality of Life and Functional Mobility of Patients with Rheumatoid Arthritis after Medication
Authors: Wu Feng , Huang Manwei , Zeng Lili , Huang Zhihua , Zheng Jinqing
Published: May 2022

Objective. Patients treated with medication for rheumatoid arthritis (RA) often improve but continue to have active diseases. The study aims to investigate whether needle-warming moxibustion (NWM) plus multirehabilitation training can improve quality of life (QoL) and functional mobility of RA patients after medication. Methods. Eighty-four RA patients were selected as study participants, including 42 patients receiving medication (medication group) and 42 patients receiving NWM plus multirehabilitation training (NWM + MRT group). The scores of disease symptoms, pain (visual analogue scale (VAS)), sleep quality (Pittsburgh Sleep Quality Index (PSQI)), functional mobility (Fugl–Meyer assessment scale (FMAS)), self-rating anxiety scale (SAS), self-rating depression scale (SDS), and QoL (SF-36) were compared before and after treatment. When patients were discharged from the hospital, they were given a questionnaire for treatment satisfaction. Results. After treatment, decreases in the scores of the VAS, PSQI, SAS, and SDS were observed in both cohorts, especially in the NWM + MRT group (

P
<
0.05

). The FMAS scores of upper limbs and lower limbs were increased after treatment, which were higher in the NWM + MRT group in comparison with the medication group (

P
<
0.05

). Of note, patients in the NWM + MRT group scored higher in various dimensions of the SF-36 scale (

P
<
0.05

), showing better QoL. The satisfaction survey showed that the NWM + MRT group had a higher proportion of patients being satisfied and a lower proportion of patients being dissatisfied (

P
<
0.05

). Conclusion. NWM plus multirehabilitation training could significantly attenuate disease symptoms, improve QoL, recover functional mobility, and reduce the risk of anxiety and depression in RA patients.
Uncovering the Mechanism of the Xingnaojing Injection against Ischemic Stroke Using a Combined Network Pharmacology Approach and Gut Microbiota Analysis
Authors: Liu Ganlu , Lin Jingfeng , Zhang Lina , Gao Qiang , Wang Zhenyi , Chang Ze , Gao Ying , Ma Dayong , Han Zhenyun
Published: May 2022

Objective. To explore the brain protection mechanism of Xingnaojing injection (XNJ) against ischemic stroke (IS) by the network pharmacology approach and gut microbiota analysis. Methods. We used network pharmacology analysis to identify the active components of XNJ and its potential targets against IS and inflammatory bowel disease (IBD) and carried out network analysis, functional annotation, and pathway enrichment analysis. Then, transient middle cerebral artery occlusion (tMCAO) mice model was used to verify the molecular mechanism of XNJ. Results. 36 active compounds were identified from XNJ, and the effect of XNJ against IS was related to the VEGF signaling pathway, NF-kappa B signaling pathway, and gap junction. The effect of XNJ against IBD was related to the T cell receptor signaling pathway, NF-kappa B signaling pathway, and gap junction. In vitro experiments showed that XNJ significantly improved the neurological function of tMCAO mice, reduced the size of cerebral infarction, decreased the permeability of blood-brain barrier (BBB), downregulated the expressions of TLR4, MyD88, and NF-kappa B in the ischemic site, and upregulated the expressions of occludin and ZO-1 in the colon. High-throughput 16S rDNA gene sequencing showed that XNJ upregulated the levels of Akkermansia and downregulated the levels of Flavobacteriaceae, Deferribacteraceae, and Deferribacteres. XNJ increased the concentrations of the short-chain fatty acids (SCFAs) PA (propionate), VA (valerate), IBA (isobutyrate), and IVA (isovalerate) in the feces of the sham germ-free experiment group (SGFEG) mice. Conclusion. IS causes dysbiosis of some specific bacteria in the gut microbiota. XNJ is an effective treatment for IS, and its mechanism was related to improving intestinal barrier function and regulating intestinal flora and SCFAs. Network pharmacology revealed that XNJ acts through multiple targets and multiple pathways.
Downregulation of hsa-miR-30b-3p Inhibits the Oncogenicity of Lung Adenocarcinoma by Targeting the METTL7B Gene
Authors: Li Ning , Li Rui , Song Bin , Ge Hong , Qu Yiqing
Published: May 2022

Objective. Lung adenocarcinoma (LUAD) is one of the malignant tumors with the highest morbidity and mortality rates worldwide. Although surgery-based combination therapy can greatly improve the prognosis of LUAD patients, the overall outcome is still poor, and there is an urgent need to develop new and effective treatment alternatives for LUAD. The microRNA (miRNA) miR-30b-3p is a typical multifunctional miRNA that has been reported to promote the development of various malignancies. In this study, we investigated the effects of miR-30b-3p on the biological properties of LUAD and the possible mechanisms involved to provide new ideas for the development of more effective treatment options for LUAD. Methods. Fluorescence quantitative real-time polymerase chain reaction (qRT-PCR) was used to measure the expression of miR-30b-3p and its target METTL7B gene in tumor tissues and adjacent noncancerous lung tissues of LUAD patients and to determine their correlation. The effect of miR-30b-3p on the biological properties of LUAD was investigated, after transfection of miR-30b-3p mimics or scramble miRNA (negative control) in LUAD cells, using various approaches, including by measuring cell proliferation using CCK-8 and Edu assays, cell invasion by Transwell assay, and apoptosis and cell cycle distribution by flow cytometry. Additionally, rescue assays were performed to verify the effect of METTL7B on miR-30b-3p function. Results. In LUAD patients, low expression of miR-30b-3p and high expression of METTL7B in tumor tissues were significantly and negatively correlated with those in adjacent noncancerous lung tissues of the LUAD patients. It was also found that miR-30b-3p inhibits the proliferation and invasion of LUAD cells, promotes apoptosis, and changes the cell cycle distribution. METTL7B is a target gene of miR-30b-3p. METTL7B overexpression significantly reversed the biological effects of miR-30b-3p overexpression, including inhibition of cell proliferation and invasion, promotion of apoptosis, and alteration of the cell cycle distribution. Conclusions. The miR-30b-3p alters the biology of LUAD by negatively regulating METTL7B expression, indicating the importance of the miR-30b-3p/METTL7B pathway in the development of LUAD.
[Retracted] Ecosystem of Digital Media Art under Scientific Computing Visualization Based on Finite Element Analysis
Authors: Li Yuhui , Zhuge Wenjing
Published: May 2022

Digital media refers to the form of media that appears based on computer information processing technology and has an impact on society. Scientific computing visualization is the study of how to convert digital information generated in scientific computing into intuitive, image, and graphic information. It also studies how to visualize the physical phenomena or physical quantities that change with time and space in front of researchers to gain understanding and insight into the data. This paper aims to study an ecosystem of digital media art. For this system, a scientific computing visualization algorithm based on finite element analysis is proposed in this paper. It uses the algorithm to test the designed digital media ecosystem. The test results are evaluated from three aspects: image quality, system energy consumption, and processing speed. The test results show that the signal‐to‐noise ratio of the image displayed by the system designed in this paper is always above 50 db, and the maximum can reach more than 60 db. Its power consumption increases by less than 0.02 W for every additional 1 MB of data on average, and the average processing speed is about 3 times per second. This shows that the system has good image quality, low energy consumption, and up to standard processing capacity.
Interaction Design of Mobile-Based Product Display System
Authors: Xu Ying
Published: May 2022

Merchandise display design is a type of targeted design that involves the planning and implementation of merchandising, product display, visual communication, and the display of the retail environment in order to increase sales and suit the needs of both producers and customers. In this paper, we propose a mobile-based merchandise display system for the needs of merchandise display and virtual reality shopping in e-commerce. First, this paper analyzes the characteristics of several VR technologies and applies the WebVR 3D interaction engine to realize the online 3D virtual display of real-world and physical products to provide real-time interaction. Furthermore, this paper proposes a behavioral delay shared network model that fully combines historical browsing information to make accurate browsing recommendations to users. For computing the user’s interest representation, the model provides behavioral delay gated recurrent neural units. Finally, to provide a solution for mobile e-commerce apps, the behavioral delayed shared network model is implemented into the display system’s recommendation module.
Utilization of MultiLevel Drawing Technology for Computer-Based Embroidery Employing Computerized Digital Technology
Authors: Wu Yinglu
Published: May 2022

In this study, the theoretical foundation of the manually operated crewel embroidery technology was suggested to enhance the artistic features of computerized embroidery. By doing so, the advantages such as mass production, more realistic pictorial patterns, and increasing artistic demand by users can be realized. Hence, the embroideries characterized by the computerized mechanical and crewel methods could be compared. Therefore, interesting results were obtained. The software called WILCOM and a single head computerized embroidery machine with 12 needles having multifunctionality called TUMX-C1201 were utilized to produce proofing size designs of embroidery frames with a selection of a base needle, color, and style of the pattern for the layered combination. Then, both computerized mechanical embroidery and crewel embroidery generate binding assays. The outcomes suggest that proofing samples with the gray value of 15 groups utilizing stitch spacing varying between 0.2 mm and 3 mm designate a gradual inclination in the upward direction when different bases of needles, namely, 10 mm, 20 mm, and 30 mm are under consideration. In other words, an obvious trend and a stable state were simply observed when they change between 0.2 mm and 1.8 mm and between 1.8 mm and 3 mm, respectively. For example, when a 50 × 50 mm area was taken as an illustrative example, 102, 24, and 5 base needles were needed, respectively. As a result, certain characteristics were observed in the visual style when computerized mechanical crewel embroidery was employed, which is, for example, a certain degree of looseness contained in the stitching of the petal pattern that created vividness and enhanced hierarchical sensation. Besides, the petals of a sunflower in three dimensions were seen concurrently. Thus, the computerized digital technology enables computer-based embroidery to draw patterns in multilevel artistic processes and was concluded. Combining manual and computer-based embroidery could not only succeed in mass production but also enhance the aesthetic aspects of embroidery works.
Comparative Study of the Antioxidant Power of Polyphenols of Leaves, Fruits, and Bark of Pistacia atlantica Desf. from Morocco
Authors: Zerkani H. , Tagnaout I. , Khiya Z. , Boutahiri S. , Amalich S. , Fadili K. , Cherrat A. , Mouradi A. , Benhlima N. , Zair T.
Published: May 2022

Pistacia atlantica Desf. is a widely used plant species in the traditional medicine for its various pharmacological properties. The aim of this study is the valorisation of polyphenols and the antioxidant power of three organs from Pistacia atlantica Desf. (leaves, fruits, and bark). Phytochemical screening of secondary metabolites was performed using precipitation and coloring reactions. Total phenols, flavonoids, and condensed tannins were quantified, respectively, by the Folin-Ciocalteu method, the aluminum trichloride method, and the vanillin method. Evaluation of the antioxidant activity was made using two methods: DPPH∗(2,2′-diphenyl-1-picryl hydrazyl) and FRAP (ferric reducing antioxidant power). The obtained results showed that the three organs of Pistacia atlantica are rich in total phenols, flavonoids, and condensed tannins. The highest contents of total phenols and flavonoids are recorded by the crude fruit extract, 723 mg EGA/gE and 34.57 mg EQ/gE, respectively, while the highest content of condensed tannins is recorded in the butanolic extract of the leaves (997.58 mg ECat/gE). The antioxidant activity of the three organs extracts from Pistacia atlantica Desf. confirmed their strong antiradical power, much higher than that of ascorbic acid and BHA (butylated hydroxyanisole). Indeed, the concentration of the crude extract of P. atlantica leaves reducing 50% of the DPPH∗free radicals (IC50) is 27.22 μg/ml. This concentration is much lower than those of ascorbic acid (31.44 μg/ml) and BHA (46.25 μg/ml). The antioxidant power using the FRAP method has also shown that the leaves extract of this species has a much higher reducing capacity of iron than those of the reference standards. A positive correlation between antioxidant capacities and flavonoids contents of leaves and fruits extracts was observed. The two methods (DPPH∗and FRAP) proved that the three organ extracts of Pistacia atlantica possess very remarkable antioxydant activity. These extracts could be exploited as natural antioxidants against the oxidation phenomenons and the oxidative stress in several fields (food, cosmetic, pharmaceutic, and others).
The Implementation of Multiobjective Flexible Workshop Scheduling Based on Genetic Simulated Annealing-Inspired Clustering Algorithm
Authors: Huang Ming , Wang Fei , Wu Si
Published: May 2022

Multiobjective flexible workshop scheduling is an important subject to improve resource utilization and production efficiency and enhance the competitiveness of enterprises. As the situation of resource constraints becomes more and more severe, the problem of companies rationally allocating limited resources in production is becoming more and more serious. Today, the manufacturing industry widely adopts advanced manufacturing modes such as computer-integrated manufacturing and intelligent manufacturing, but in these semi-intelligent manufacturing modes with a high degree of uncertainty and a high degree of personnel dependence, it is difficult to adapt to the work of large-scale production. Therefore, suitable clustering algorithms are urgently needed to help solve these problems, and this paper selects a clustering algorithm based on the genetic simulation annealing algorithm. This article is aimed at studying the problem of efficiency improvement in the production process of large-scale manufacturing and at finding a stronger and more effective production mode for the manufacturing industry. Firstly, this paper introduces the basic principles of simulated annealing genetic algorithm and regularized clustering algorithm. These algorithms have excellent performance in searching for global optimal solutions. They can be constantly tested and computed to keep the calculation results close to the global optimal solution. In this paper, the

K

-means clustering algorithm is used to select the shortest completion time to represent the clustering target. According to the minimum distance principle, the machine, workpiece, and other objects are input into the clustering of the algorithm, and the

K

-means algorithm will send out the sorting plan. Therefore, a multiobjective flexible job shop scheduling model based on genetic simulated annealing algorithm and clustering algorithm is established. Then, by using hypothetical production data to simulate the operation of the workshop, the scheduling model was applied to conduct a deduction and empirical comparative study. The experimental results showed that the model shortened the completion time of the workpiece by 4.4% and increased the average load rate of the machine by 10%.
Research on National Costume Design Based on Virtual Reality Technology
Authors: Cao Chunnan , Gao Yiping
Published: May 2022

Cheongsam has the unique costume culture characteristics of the Chinese nation and is a classic style of traditional Chinese costumes. At the same time, with the rapid development of science and technology, 3D virtual technology plays an increasingly important role in the garment intelligent manufacturing industry. Therefore, how to combine 3D virtual technology with the development of women’s cheongsam clothing products is of great significance, which can overcome the limitations of time and space and effectively improve the efficiency of clothing pattern design. To solve this problem, a design method for national costume based on virtual reality technology is proposed. First of all, the modeling and structural characteristics of cheongsam are analyzed. Secondly, different curve fitting methods are applied to human body feature recognition, and cubic polynomial fitting is selected to complete the feature recognition of the human body model in a virtual environment. Then, in order to prevent the penetration between clothing and the human body, the collision detection function based on the AABB bounding box is added, and a method based on linear sensitivity is used to map 2D to 3D. Finally, the model of a cheongsam costume is created by using the clothing simulation Marvelous Designer software, and the effectiveness of the proposed virtual cheongsam costume simulation design method is verified by subjective evaluation indexes.
Changes of Tumor Markers in Patients with Breast Cancer during Postoperative Adjuvant Chemotherapy
Authors: Zhang Yan , Zhao Jing , Wang Yajun , Cai Wei , Zhang Xiaoli , Li Kaifu , Liu Wenqing , Zhao Ye , Kang Hua
Published: May 2022

Objective. Serum tumor marker (STM) elevation can detect metastasis earlier than imaging diagnosis and, although not recommended by guidelines, is still widely used in clinical practice for postoperative follow-up of breast cancer patients. The purpose of this study was to investigate the change rules of CEA and CA153 in patients with HER2-negative breast cancer during postoperative adjuvant chemotherapy and their influencing factors. Materials and Methods. The medical records of patients with HER2-negative early breast cancer who visited Xuanwu Hospital from September 2018 to June 2021 were retrospectively analyzed. Demographic characteristics and baseline data of CEA and CA153 at initial diagnosis were collected. Data of CEA, CA153, biochemistry (including ALT, AST, rGT, triglycerides, cholesterol, and blood glucose) and blood routine (including white blood cells, neutrophils, monocytes, lymphocytes, and platelets) were also collected before chemotherapy, at the end of chemotherapy and more than 3 months after the end of chemotherapy. LY/MONO, NEUT/LY, PLT/LY, and systemic immune inflammation index (SII) were calculated and statistically analyzed using SPSSAU software. Results. A total of 90 patients were enrolled, all of whom were female, with a mean age of

55.11
±
10.60

 y. The value of CEA at initial diagnosis was

2.10
±
1.11

 ng/mL, and high expression was mostly correlated with past history of chronic diseases and tumor lymph node metastasis; the value of CA153 was

11.80
±
6.60

 U/mL, and high expression was correlated with high SII at initial diagnosis. Surgery did not affect the values of serum CEA and CA153. At the end of chemotherapy, CEA and CA153 were

2.68
±
1.34

 ng/mL and

18.51
±
8.50

 U/mL, respectively, which were significantly increased compared with those before chemotherapy, and were linearly correlated with the values before chemotherapy. They decreased (CEA

2.45
±
1.19

 ng/mL, CA153

10.87
±
5.96

 U/mL) again three months after the end of chemotherapy, manifested as “spiking” phenomenon, which was associated with lymph node metastasis at diagnosis, body metabolic disorders, and chronic inflammatory status. Conclusion. CEA and CA153 were increased presenting as “spiking” phenomena in patients with early HER2-negative breast cancer during postoperative adjuvant chemotherapy, and the peak of increase was linearly correlated with the indicators before chemotherapy. Clinical attention should be paid to this change to avoid excessive diagnosis and treatment leading to medical resource consumption.
Application of GA-BP Neural Network in Online Education Quality Evaluation in Colleges and Universities
Authors: Sun Guodong
Published: May 2022

The purpose of educational data mining is to find the internal relations and laws hidden in the massive educational data and help students’ learning and teachers’ teaching and management. The prediction and analysis of student achievement can improve the way of training students and promote the improvement of teaching quality. This paper proposes a student grade prediction algorithm based on a DTGA-BP (decision tree genetic algorithm-back propagation) neural network to predict better and analyze students’ grades. Firstly, the algorithm preprocesses the data with a correlation analysis method to generate the initial population. Then, the feature selection of evaluation indexes is carried out through DTGA decision tree, and the number of hidden layer neurons is optimized. Finally, the crossover probability and mutation threshold of the BP neural network are used to optimize the initial weight. The experimental results show that the prediction results of this algorithm are more consistent with the actual results, more scientific and accurate than the traditional methods, and can provide better services for teaching and management.
Compact Quadband Bandstop Filter Based on Concentric Split Ring Resonators with Perturbation for Multifunctional Wireless Systems
Authors: Moukala Mpele Pierre
Published: May 2022

Bandstop filters play an essential role in many radio frequency (RF) and microwave communication systems to block undesired signals or reject spurious harmonics. This paper presents the design and experiment of a compact quadband bandstop filter centered at 1.2/1.97/2.96/4.78 GHz with a passband insertion loss ranging from 1.07 to 2.9 dB. The overall volumetric size of the proposed filter is 0.197

λ

g

 × 0.197

λ

g

 × 0.01

λ

g

, where

λ

g

is the guided wavelength at 1.2 GHz. The desired performance is achieved by introducing two diamond-shaped concentric split ring resonators (DSCSRRs) intercoupled and defected ground structure. The metamaterial properties of the DSCSRR have been verified by extracting and analyzing its effective permittivity and permeability. This research shows that DSCSRRs can generate multiband characteristics and yield high selectivity with good band-to-band isolation by generating transmission zeros between passbands. The filter is designed, optimized, and analyzed using High-Frequency Structural Simulator (HFSS). A good agreement is observed between simulated and experimental results. The measured results demonstrate that the proposed quadband banstop filter exhibits a minimum stopband rejection of 11.22 dB and fractional bandwidth greater than 4.51%, which makes it suitable for front-end transceiver components or multifunctional wireless systems to suppress unwanted signals at four separate frequency bands.
Analysis of Stock Market Opening and Environment Protecting Information with Computational Technologies: Evidence from China
Authors: Zhang Juan , Liu Ting
Published: May 2022

Stock market plays a leading and crucial role in the market mechanism, which connects the savers and investors. So far, there is no uniform regulation on the disclosure requirement of environmental protection information in China. But companies are increasingly concerned about environmental protection and are committed to disclosing more information about environmental protection. It is important to analyze the information on stock market opening and environmental protection by computing technology. For the stock market, as voluntary disclosure of non-financial information, environmental protection information is an important supplement to financial information and is essential for the investors to make decisions. And it is the important content of capital market information. This article through the capital market opening opportunity: Shanghai (Shenzhen) Hong Kong stock connect (the stock market opening mentioned later in this paper all refers to the Shanghai (Shenzhen) Hong Kong stock connect), empirically investigates the stock market opening that affects the environmental protection information disclosure of the company. Our conclusion supports the views that the stock market opening improved the environmental protection information disclosure of the company and promotes the environmental protection behavior of enterprises. Through further analysis, this paper finds that after the officially carried out the stock market opening policy, the attention of many analysts and the participation of foreign institutional investors urge the management to take the initiative to reduce agency costs, which is an important influence mechanism for the stock market opening to affect the disclosure of enterprises’ environmental protection information. The evidence of this study indicates that the stock market opening has an important impact on enterprises in China from the following aspects: improving the information disclosure of environmental protection, thus enhancing the company’s awareness of environment protecting, and improving the information quality of stock market in China.
Prevention Techniques against Distributed Denial of Service Attacks in Heterogeneous Networks: A Systematic Review
Authors: Cheema Ammarah , Tariq Moeenuddin , Hafiz Adnan , Khan Muhammad Murad , Ahmad Fahad , Anwar Muhammad
Published: May 2022

The Distributed Denial of Service (DDoS) attack is one of the most critical issues in network security. These sorts of attacks pose a noteworthy danger to the accessibility of network services for their legitimate users by flooding the bandwidth or network service using various infected computer systems. The targeted servers are overwhelmed with malicious packets or connection requests, causing them to slow down or even crash the server operations which results in preventing genuine users from accessing the service. In this paper, we discussed the detailed classification of DDoS attacks and identified attackers’ motivations behind them and their consequences. Further, the DDoS attacks on IoT devices are elaborated based on applications and network layers. A comprehensive literature review has been conducted on cutting-edge defense techniques to defend against such attacks. An in-depth analysis of each mechanism has been carried out to find the optimal solutions. We fairly evaluated the existing defense techniques for DDoS attacks and presented key findings in comparison tables. Furthermore, this paper provides recommendations for future work for new researchers.
Overview of Image Inpainting and Forensic Technology
Authors: Liu Kai , Li Junke , Hussain Bukhari Syed Sabahat
Published: May 2022

At present, digital image is the most significant information carrier on the Internet, which provides convenience for people to exchange information. With the progress of image processing theory, digital image inpainting technology has also developed rapidly. It not only enhances the image expression but also provides tools for image forgery. Misusing the tools may trigger a crisis of trust in the image. To eliminate the negative impact of image forgery, many scholars have conducted in-depth research on it and proposed a series of detection methods called image forensics for institutions or communities to identify such forged images. Current forensic technology still has many limitations, such as relying on specific features and data distribution which makes forensic technology lag behind image inpainting technology. So far, academia still lacks a unified understanding of image forgery and detection technology, and the research architecture of inpainting and forensic technology is not clear. This article reviews the development of image inpainting and forensic technology and systematically summarizes and scientifically classifies the current research work. Finally, the forensic technology is summarized and the future research direction is prospected to guide subsequent scholars to further promote the progress of image forensic technology.