bluuebunny/crossref_metadata_2025 huggingface dataset:
Green Synthesis of Silver Nanoparticles from Root Extracts of Rubus ellipticus Sm. and Comparison of Antioxidant and Antibacterial Activity
Authors: Khanal Lekha Nath , Sharma Khaga Raj , Paudyal Hari , Parajuli Kshama , Dahal Bipeen , Ganga G. C. , Pokharel Yuba Raj , Kalauni Surya Kant
Published: March 2022

The fabrication of metal nanoparticles through green synthetic pathways using plant extracts has increased attention due to low cost, benevolent methods, fewer hazardous byproducts, and applications. Silver nanoparticles (AgNPs) were synthesized by reacting to aqueous root extracts of Rubus ellipticus Sm. (RERE) with AgNO3 solution (1 mM) at an ambient condition. The visual change of color from light yellow to reddish brown and the absorption peak at 416‐420 nm in the UV‐visible spectra indicated the formation of AgNPs in the solution. The shifting of the positions in the FTIR spectra indicated the potential role of the functional groups as capping and stabilizing agents. The powder XRD diffractogram exposed the crystalline nature of the nanoparticles. The surface morphology and the elemental composition of the AgNPs were established by the FESEM and EDX analysis. The TEM images revealed the spherical and monodispersed nanoparticles of size ranging from 13.85 to 34.30 nm with an average of 25.20 ± 7.01 nm (n = 10). The biogenic AgNPs showed a better 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) radical scavenging activity with lower IC50 (13.83 ± 0.33 μg/mL) as compared to that of the RERE with IC50 (15.86 ± 4.14 μg/mL). The synthesized AgNPs showed higher zones of inhibition (ZOI) on the agar well diffusion method against Enterococcus faecalis (ATCC 29212), Escherichia coli (ATCC 25922), Staphylococcus aureus (ATCC 25923), and Klebsiella pneumoniae (ATCC 700603). The result of this study highlights the potential benefits of R. ellipticus root extract‐based AgNPs for biomedical practices.
A Novel Framework for Arabic Dialect Chatbot Using Machine Learning
Authors: Alhassan Nadrh Abdullah , Saad Albarrak Abdulaziz , Bhatia Surbhi , Agarwal Parul
Published: March 2022

With the advent of artificial intelligence and proliferation in the demand for an online dialogue system, the popularity of chatbots is growing on various industrial platforms. Their applications are getting widely noticed with intelligent tools as they are able to mimic human behavior in natural languages. Chatbots have been proven successful for many languages, such as English, Spanish, and French, over the years in varied fields like entertainment, medicine, education, and commerce. However, Arabic chatbots are challenging and are scarce, especially in the maintenance domain. Therefore, this research proposes a novel framework for an Arabic troubleshooting chatbot aiming at diagnosing and solving technical issues. The framework addresses the difficulty of using the Arabic language and the shortage of Arabic chatbot content. This research presents a realistic implementation of creating an Arabic corpus for the chatbot using the developed framework. The corpus is developed by extracting IT problems/solutions from multiple domains and reliable sources. The implementation is carried forward towards solving specific technical solutions from customer support websites taken from different well-known organizations such as Samsung, HP, and Microsoft. The claims are proved by evaluating and conducting experiments on the dataset by comparing with the previous researches done in this field using different metrics. Further, the validations are well presented by the proposed system that outperforms the previously developed different types of chatbots in terms of several parameters such as accuracy, response time, dataset data, and solutions given as per the user input.
The Implementation of Andragogy in the Adult Education Program in Ethiopia
Authors: Desta Samuel Zinabu , Gugssa Mulugeta Awayehu
Published: March 2022

Although there are multiple studies about the application of andragogy in multiple disciplines, studies on the implementation of andragogy in basic adult education/literacy programs are too limited in the Ethiopian context. The overarching purpose of this study was to scrutinize the implementation of andragogy in the Integrated Functional Adult Education [IFAE] program in Ethiopia. A qualitative case study design was employed to guide this research. Through in-depth interviews and observations, the data were collected from purposively selected five facilitators and five learners. The findings of this research revealed that andragogy was not implemented satisfactorily as expected. The facilitators did not communicate the objectives of the session before each session and their effort in making adults self-directed learners is limited. The adult learners’ experience is not considered as a resource in the facilitation process. The learning content is determined by curriculum developers, and the facilitators teach the learners as it appears in the textbook without contextualizing it with the adult learners’ lives. The extrinsic motivational strategies are mostly employed to sustain adult learners in the IFAE program. The results of this study also revealed that the needs assessment of adult learners has never been done so far. The adult learners did not participate in the facilitation process. In general, the facilitation process seems dominated by prescriptions and pedagogy dependent, which is incongruent with andragogy.
Human Centered Decision-Making for COVID-19 Testing Center Location Selection: Tamil Nadu—A Case Study
Authors: Saroja S. , Madavan R. , Haseena S. , Pepsi M. Blessa Binolin , Karthick Alagar , Mohanavel V. , Muhibbullah M.
Published: March 2022

This paper proposes a blend of three techniques to select COVID-19 testing centers. The objective of the paper is to identify a suitable location to establish new COVID-19 testing centers. Establishment of the testing center in the needy locations will be beneficial to both public and government officials. Selection of the wrong location may lead to lose both health and wealth. In this paper, location selection is modelled as a decision-making problem. The paper uses fuzzy analytic hierarchy process (AHP) technique to generate the criteria weights, monkey search algorithm to optimize the weights, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank the different locations. To illustrate the applicability of the proposed technique, a state named Tamil Nadu, located in India, is taken for a case study. The proposed structured algorithmic steps were applied for the input data obtained from the government of India website, and the results were analyzed and validated using the government of India website. The ranks assigned by the proposed technique to different locations are in aligning with the number of patients and death rate.
Stress Distribution Pattern in Mini Dental Implant-Assisted RPD with Different Clasp Designs: 3D Finite Element Analysis
Authors: Rungsiyakull Chaiy , Rungsiyakull Pimduen , Suttiat Kullapop , Duangrattanaprathip Nut
Published: March 2022

Introduction. The removable partial denture (RPD) components, especially the retentive arm, play a major role in the loading characteristic on supporting structures. Objective. To evaluate and compare the effect of different clasp designs on the stress distribution pattern, maximum von Mises stress, and average hydrostatic pressure on abutment teeth, as well as edentulous ridges, mini dental implants (MDIs), and peri-implant bone between the conventional removable partial denture (CRPD) and mini dental implant-assisted distal extension removable partial denture (IARPD) using a three-dimensional finite element analysis (3D FEA). Materials and Methods. 3D FEA models of mandibular arches, with and without bilateral MDI at the second molar areas, and Kennedy class I RPD frameworks, with RPA, RPI, Akers, and no clasp component, were generated. A total of 200 N vertical load was bilaterally applied on both sides of distal extension areas, and the stress was analyzed by 3D FEA. Results. The stress concentration of IARPD with RPI clasp design was located more lingually on abutment teeth, MDI, and peri-implant bone, while the other designs were observed distally on the supporting structures. The maximum von Mises stress on the abutment root surface was decreased when the RPDs were assisted with MDIs. The CRPD and IARPD with the Akers clasp design showed the highest von Mises stress followed by the designs with RPA and RPI clasp, respectively. The average hydrostatic pressure in each group was in approximation. Conclusion. The placement of MDIs on distal extension ridges helps to reduce the stress concentration on denture supporting structures. The maximum von Mises stress is affected by the different designs of clasp components. The CRPD and the IARPD with RPI clasp provide the least stress on supporting structures.
Clinical Experience of Acupuncture Treatment for Non-Alcoholic Fatty Liver Disease
Authors: Hong Kun-Da , Wan Tian , Lu Si-Yu
Published: March 2022

Based on the authors’ clinical experience, the acupuncture treatment of non-alcoholic fatty liver disease mainly includes the following three aspects. (1) The etiology and pathogenesis of non-alcoholic fatty liver disease are based on “deficiency in origin and excess in superficiality.” The deficiency in origin means deficiency of the spleen and stomach, and the excess in superficiality is caused by hepatobiliary disorders. (2) The application of the theory of strengthening the spleen and mobilizing transportation should be considered for the treatment of non-alcoholic fatty liver disease by acupuncture and moxibustion. Therefore, the use of “treatment from the spleen” often has miraculous effects. (3) Skillful use of acupuncture, shallow acupuncture, acupoint thread embedding, and other traditional Chinese medicine therapies are used to regulate the liver and spleen. In addition, warm acupuncture is reused to warm the Yang and strengthen the body.
Evaluation of the Effect of Nutritional Intervention on Patients with Nasopharyngeal Carcinoma
Authors: Lin Fan , Ren Huijun , Lin Fenfen , Pan Zhaohu , Wu Liping , Yang Neng
Published: March 2022

Aim. The paper aims to combine mathematical statistics to assess the effect of nutritional intervention in the population of nasopharyngeal cancer patients. Methodology. After following the inclusion and exclusion criteria, a total of 120 patients with nasopharyngeal carcinoma were selected. All patients are treated with intensity-modulated radiotherapy (IMRT). The nurse collects relevant clinical treatment data during the radiotherapy of the patient. After the patient’s radiotherapy, the nurse remeasures the patient’s nutritional status indicators. Three months after the completion of radiotherapy, the patient will be reexamined by MRI, and the radiotherapist will assess the patient’s radiosensitivity based on the results of the MRI examination. All the blood biochemical indicators and body measurement indicators were also assessed and coordinated with nasopharyngeal carcinoma patients. This study performs multiple linear regression analysis on treatment-related factors that affect nutritional status during radiotherapy. Results. The experimental results showed that the side effects of radiotherapy are independent influencing factors of nutritional status. Radiotherapy damages the DNA of cells, so that cells cannot continue to divide and grow, and all cells in the treatment area were affected by radiation. The standard radiotherapy treatment is quite long, and the oral cavity, throat, and parotid gland, are all within the irradiation range. In addition to killing the tumor cells, the radiation can also cause certain damage to the surrounding tissues of the tumor. This article takes radiosensitivity as the dependent variable (insensitivity = 0; sensitivity = 1) and takes the nutritional index NI, age, gender, education level, marriage, smoking, chronic disease history, TNM staging, whether the chemotherapy steps are the same or not, GTVnx prescription dose, and the number of radiotherapies as independent variables. AMC, albumin, hemoglobin, serum prealbumin, and transferrin are all correlated with radiosensitivity, which is consistent with the results of most studies. The results of multivariate logistic regression analysis showed that nutritional index (NI) was correlated with the radiosensitivity of nasopharyngeal carcinoma. Conclusion. Finally, this paper concludes that nutritional intervention has a certain effect on the treatment of patients with nasopharyngeal carcinoma.
Analysis of Bank Credit Risk Evaluation Model Based on BP Neural Network
Authors: Wang Xiaogang
Published: March 2022

Commercial banks are of great value to social and economic development. Therefore, how to accurately evaluate their credit risk and establish a credit risk prevention system has important theoretical and practical significance. This paper combines BP neural network with a mutation genetic algorithm, focuses on the credit risk assessment of commercial banks, applies neural network as the main modeling tool of the credit risk assessment of commercial banks, and uses the mutation genetic algorithm to optimize the main parameter combination of neural network, so as to give better play to the efficiency of neural network. After verification of various evaluation models, the accuracy of the evaluation model designed in this paper is more than 65%, while the acceptability of the evaluation results optimized by the mutation genetic algorithm is more than 85%. Compared with the accuracy of about 50% of the traditional credit scoring method, the accuracy of the credit risk evaluation using neural network technology is improved by more than 10%. It is proved that the performance of the optimized algorithm is better than that of the traditional neural network algorithm. It has important theoretical and practical significance for the establishment of the credit risk prevention system of commercial banks.
Evaluating the Design and Teaching Effect of College Mobile English Learning Using Deep Learning Technique
Authors: Ji Dandan , Yang Xuming , Wang Weifeng
Published: March 2022

Mobile learning has emerged as a popular model for the teaching and learning process, which can also be described as a modernised version of the traditional classroom learning process. As modern education has been implemented, the educational level of both students and teachers has improved. This advancement is made possible by increased knowledge of how to use mobile technology with the Internet. In this study, a multiprocessor learning-based CNN algorithm is proposed to improve students’ English language speaking fluency. Additionally, the students and the teachers are considered available in the remote area, and the communication between them is done through an interactive system. The model is designed to focus on a teacher-centric perspective, in which the teacher has to make use of multiple resources or applications to perform an easier understanding of the course for the students. Hence, an intelligent system is designed to make the learning processes successful. The results show that the proposed algorithm works well in improving the teaching efficiency of mobile English learning. It also revealed that the accuracy level of the learning system used by college and university students has increased by 10%.
Life Cycle Analysis of a Steel Railway Bridge over the Operational Period considering Different Maintenance Scenarios: Application to a Case Study
Authors: Fernandes João N. D. , Matos José C. , Sousa Hélder S. , Coelho Mário R. F.
Published: March 2022

In the context of bridge management, three main types of maintenance actions can be considered. Maintenance actions can be taken preventively before the predefined limit condition is reached, or as a corrective measure in case those limits have been reached. The third possibility corresponds to the so‐called “doing nothing” scenario, in which no action is taken on the bridge. To be able to implement preventive maintenance, it is necessary to know the current condition of the bridge, as well as to be able to predict its performance. On the other hand, it is also important to be able to identify potentially threatening events that might occur in the analysis life period. This paper describes an integrated methodology to help bridge managers in defining an efficient maintenance program, considering the specific case of a railway bridge. The novelty of the methodology is focused on updating an existing methodology proposed by COST TU1406, by extending it to railway bridges and also by including the resilience analysis in case of a sudden event occurrence. The analysis considers a multi‐hazard future scenario, in which a flood event occurs while corrosion phenomena were already in place. The results show the feasibility of the proposed methodology as a support for the establishment of an efficient maintenance schedule to prevent bridge severe degradation, as well as to establish recovery plans in case of a sudden event.
Boosted Thermal Storage Performance of LiOH·H2O by Carbon Nanotubes Isolated Multilayered Graphene Oxide Frames
Authors: Wang Yuxian , Gu Jing , Li Xian , Zhu Yan , Hu Hongyun , Liu Huan , Luo Guangqian , Yao Hong
Published: March 2022

Cellulose-originated three-dimensional graphene oxide CNT-modified LiOH·H2O (3D-GO-CNTs-LiOH·H2O) was synthesized by the hydrothermal method. LiOH·H2O nanoparticles (5–50 nm) were homogeneously dispersed inside the 3D-GO-CNTs frames. The composite showed enhanced heat storage density, excellent thermal conductivity, and greatly improved hydration rate due to both the hydrophilic reaction interface of 3D-GO-CNTs frames and reduced size of LiOH·H2O nanoparticles. LiOH·H2O content ratio of 23% (3D-GO-CNTs-LiOH·H2O-1) results in best heat storage performance with activation energy of 23.8 kJ/mol, thermal conductivity of 3.06 W/m·K, and heat storage capacity of 2800 kJ/kg. 3D-GO-CNTs-LiOH·H2O shows 4.2 folders heat storage capacity than that of pristine LiOH·H2O after the same hydration reaction. Other composite materials also show good performance: 3D-GO-CNTs-LiOH·H2O-2 (activation energy: 28.5 kJ/mol, thermal conductivity: 2.33 W/m·K, and heat storage capacity: 2051 kJ/kg.); 3D-GO-CNTs-LiOH·H2O-3 (activation energy: 32.3 kJ/mol, thermal conductivity: 2.01 W/m·K, and heat storage capacity: 1983 kJ/kg.). The addition of cellulose originated 3D-GO-CNTs was proved to be an excellent strategy to boost the heat storage performance of LiOH·H2O.
Quercetin Beneficial Role in the Homeostatic Variation of Certain Trace Elements in Dyslipidemic Mice
Authors: Muselin Florin , Cristina Romeo T. , Dumitrescu Eugenia , Doma Alexandru O. , Radulov Isidora , Berbecea Adina A. , Horablaga Adina , Morariu Florica E. , Manea Dan N. , Horablaga Nicolae M.
Published: March 2022

Background. Quercetin’s role in the homeostasis of certain trace elements in dyslipidemia induced in mice was assessed. Methods. Forty BALB/c mice were allocated into 4 groups as follows: control; HFD, received fat diet; HFD + Q group, received HFD +500 mg/L quercetin; and blank control (Q)—normal food + 500 mg/L quercetin in drinking water. Results. By analyzing the values of total proteins, albumins, cholesterol, triglycerides, HDL cholesterol, LDL cholesterol, and the levels of several trace elements in blood and organs, we perceived a statistically significant increase (

∗
∗

,

p
<
0.01

) of TP, ALB, TC, TGE, and LDL-c. A nonsignificant decrease was ascertained to HDL-c value in the HFD and quercetin groups (

p
>
0.05

). In the HFD group, all analyzed elements in the kidney and spleen increased, also Cu, Li, Mg, Mn, Pb, and of B, Ba, Cr, Cd, Cu, Fe, Li, Mn, Ni, Pb, and Zn in the heart increased, but furthermore, Ag, B, Ba, Cd, Cr, Fe, Ni, and Zn in blood, Ag and Zn in the liver, and Cd in the spleen decreased. In the HFD group who received quercetin, elements (except B) were decreased in kidney and liver, also increased Ag, Ba, Cr, Fe, Li, Ni, Zn in blood, but similarly, Ag, B, Ba, Cd, Cu, Mn, and Pb declined in the spleen and heart. Conclusions. Results proved the quercetin beneficial role.
An Investigation on the Impact of Business Intelligence over the Performance of Startup Companies according to Innovation and Knowledge Management as Mediators
Authors: Nazari Farzad , Taghavi Seyedeh Safiyeh , Valizadeh Esmaeil , Soleymani Mehrdad , Farahani Danial Shahrabi , Bagheri Raana
Published: March 2022

Value-Originality. Startup companies look for solutions to remove useless issues and enhance the activities offering value adding over the product/service development stage in such a way that such companies will be able to provide great products and more probabilities for success with no need to employ considerable investments from external sources. Accordingly, innovation, business intelligence, and knowledge management will contribute to the positive findings of startup companies. Objectives. Hence, the purpose of the present study was to conduct an investigation on the impact of business intelligence over the performance of startup companies according to such mediators as innovation and knowledge management. Methods. The type of this study is correlation and is also an applied and descriptive-survey work regarding objective and data gathering. Our statistical population encompassed all related experts and managers in the following Iranian startups: Pinket, Alibaba, Snapp, Filimo, IDPay, PhonePay, TapSell, and Body Spinner. Our sample was composed of 108 experts and managers in mentioned companies, who were chosen based on the cluster sampling method. Structural equation modeling with partial least squares approach was used to analyze the gathered data. Findings. Our results reveal the effectiveness of business intelligence, innovation, and knowledge management on the performance of startups and that of business intelligence on innovation and knowledge management. Ultimately, innovation and knowledge management are mediators of the relationship between business intelligence and performance of startups. Conclusion. The startup companies’ managers are strongly recommended to take advantage of innovation and knowledge management in order to enhance the performance of their businesses.
Crack Repair Model of Ancient Ceramics Based on Digital Image
Authors: Fang Feng
Published: March 2022

Ancient ceramics is an important carrier of concretization and artistic transformation of Traditional Chinese culture. It is also an extremely indispensable link for the world to understand traditional Chinese culture. It is of great significance to ensure the quality of ceramic products and improve the reliability of products by nondestructive testing of ceramic microdefect cracks. It is necessary to extract the microdefect crack area first and describe the characteristics of the ceramic crack image with the gradient weighting feature of the model to complete the nondestructive detection of the crack image. The traditional method sets the pixel point and brightness threshold according to the pixel value of the microdefect area but ignores the description of the weighted feature of the image and completes the nondestructive detection of the microdefect crack image of ceramic products. In this study, the improved algorithm of edge detection based on cluster analysis was applied to the ancient ceramic crack repair. First, cluster analysis is used to optimize the Sobel operator in edge detection. Then, the gray value distribution of edge detection map is changed by the Clustering algorithm. Finally，the experimental results show that the contour crack trace and edge direction of the improved edge detection map are obviously enhanced by 20%, which is beneficial to improve the accuracy of ancient ceramic crack repair.
Multidimension Analysis of the Prognostic Value, Immune Regulatory Function, and ceRNA Network of LY6E in Individuals with Colorectal Cancer
Authors: Li Ting , Liu Weidong , Wang Chun , Wang Man , Hui Wenjia , Lu Jiajie , Gao Feng
Published: March 2022

Background. Lymphocyte antigen 6 complex, locus E (LY6E) is abnormally expressed in several cancers and is associated with poor outcomes. However, the biological role of LY6E in colorectal cancer (CRC) remains largely unknown. Hence, we aimed to evaluate the expression levels, prognostic value, biological functions, and immune effects of LY6E via pan-cancer and CRC analyses using multiple databases. Methods. We analyzed the expression pattern of LY6E in various cancers. The prognostic value of LY6E expression was identified using the Kaplan–Meier analysis and the Cox regression models. We used gene set enrichment analysis (GSEA) to identify the potential functions of LY6E. Correlations between the LY6E expression and various factors, including LY6E methylation level, copy number variation (CNV), microsatellite instability (MSI), and immune checkpoint genes, were also analyzed. The levels of LY6E expression and immune infiltration were analyzed using CIBERSORT. We constructed a regulatory network that was in compliance with the competing endogenous RNA (ceRNA) hypothesis. A ceRNA expression-based nomogram was established. Real-time PCR (qRT-PCR) was applied to validate the expression of LY6E-related ceRNA in CRC cell lines. Results. LY6E is overexpressed in several tumor types, including CRC, and patients with high expression levels of LY6E have a poor prognosis. The Kaplan–Meier analysis and Cox regression analysis showed that LY6E could be considered a favorable prognostic factor in TCGA and GEO cohort. The results of GSEA showed that high LY6E expression levels were associated with immune-related pathways, such as those involved in antigen processing and presentation and the intestinal immune network for IgA production. Six methylation sites of LY6E that were associated with prognostic survival were screened. Moreover, the high levels of LY6E expression were correlated with copy number gain, microsatellite instability high, and immunotherapy response. The results of CIBERSORT analysis demonstrated that the LY6E expression levels were correlated with the infiltration of multiple immune cells, especially T cells. Then, we constructed a ceRNA network (LINC00963/miR-92a-3p/LY6E) and validated it using qRT-PCR. A predictive ceRNA-based nomogram was established and validated. Conclusion. The oncogenic LY6E may serve as a promising marker for the diagnosis and treatment of CRC.
Logistics Distribution Path Optimization Using Support Vector Machine Algorithm under Different Constraints
Authors: Chen Li
Published: March 2022

Accelerating product flow, improving service level, lowering logistics costs, reducing the possibility of product losses in circulation, and thus optimizing the logistics distribution system are the issues that enterprise managers should consider in logistics distribution. Traditional algorithms can only solve simple problems, while intelligent algorithms can solve the most complex combinatorial optimization problems. The optimization problem of logistics vehicle scheduling path with different constraints is studied in this paper using the SVM algorithm, and the improved algorithm is simulated to verify its effectiveness. The simulation results show that the logistics distribution path optimization method based on the SVM algorithm has good global searching ability, effectively avoids the algorithm falling into local optimum, and reduces total distribution cost, proving the algorithm’s effectiveness. This scheme can optimize vehicle routes, increase distribution efficiency, and reduce logistics costs, and it can be used in a wide range of logistics distribution route optimization applications.
Application Analysis of Combining BP Neural Network and Logistic Regression in Human Resource Management System
Authors: Xiang Ting , Wu Ping Zhen , Yuan Shihai
Published: March 2022

Human resource management involves a variety of data processing, and the process is complicated. In order to improve the effect of human resource management, this paper combines BP neural network and logistic regression analysis to construct an intelligent human resource management system and uses backpropagation learning to adjust training errors and determine connection weights. Moreover, this paper estimates the probability of a certain event through regression analysis, predicts and analyzes the human resource management process, and builds an intelligent human resource management system with the support of joint algorithms. In order to explore the reliability of the joint algorithm proposed in this paper, the effectiveness of the algorithm proposed in this paper is verified through simulation tests. The experimental research results show that the human resource management system based on BP neural network and logistic regression proposed in this paper has good practical effects.
CAD-Aided 3D Reconstruction of Intelligent Manufacturing Image Based on Time Series
Authors: Zhang Liming , Wang Lei , du Xu , Meng Fanbo
Published: March 2022

To improve the three-dimensional (3D) reconstruction effect of intelligent manufacturing image and reduce the reconstruction time, a new CAD-aided 3D reconstruction of intelligent manufacturing image based on time series was proposed. Kinect sensor is used to collect depth image data and convert it into 3D point cloud coordinates. The collected point cloud data are divided into regions, and different point cloud denoising algorithms are used to filter and denoise the divided regions. With the help of CAD, FLANN matching algorithm is used to extract feature points of time-series images and complete image matching. Three-dimensional reconstruction of sparse point cloud and dense point cloud is carried out to complete 3D reconstruction of intelligent manufacturing images. The experimental results show that the image PSNR of this method is always above 52 dB, and the maximum reconstruction time is 4.9 s. The 3D reconstruction effect of intelligent manufacturing image is better, and it has higher practical application value.
Effect of 50-Hertz Sinusoidal Vibration on the Uterus in Ovariectomy-Induced Osteoporotic Rats
Authors: Zhang Yanfang , Qi Yi , Zhou Xianjin , Yu FengYan
Published: March 2022

Objective. To evaluate the influence of sinusoidal vibration (50-Hertz) stimulation on the uterus of osteoporotic rats. Methods. We constructed an osteoporosis rat model by ovariectomy (OVX). 36 3-month-old Sprague Dawley rats were randomly divided into the control group, vibrating group, sham operation group, sham operation vibrating group, OVX group, and OVX vibrating group (

n
=
6

per group). Rats started to vibrate one week after the operation: one 10 minutes 50-Hertz sinusoidal vibration per day, except for Saturday and Sunday. In the second, 8, and 12 week after vibration stimulation, rats were sacrificed in batches. And then, the uteruses were taken out to measure the wet weight and calculate uterus relative wet weight. Results. Compared with the control group, OVA induced a significant increase in wet weight and relative wet weight in rat uterus. The vibration was to the uterus wet weight and the uterus relative wet weight in ovariectomized rats and at the same time had no significant effect, but the 12-week prolonged vibration can significantly reduce the uterus wet weight and the uterus relative wet weight in ovariectomized rats than 2 weeks. Conclusions. The uterus wet weight and the uterus relative wet weight were increased in the OVA-induced osteoporosis rats. The 50-Hertz sinusoidal vibration had no significant effect on the uterus wet weight and the uterus relative wet weight in the ovariectomized rats at the same time, but 12 weeks of vibration can significantly reduce the uterine wet weight and uterine relative wet weight of ovariectomized rats. And the uterus relative wet weight can be used as a new indicator of stimulating the uterus.
Numerical Simulation of Damping Performance of Elastically Supported Underground Arch Structures Subject to Penetration and Explosion
Authors: Yuan Yingjie , Sun Huixiang , Chen Zhuo , Bai Erlei , Sun Huiying
Published: March 2022

To reduce the damage of earth penetrators on underground fortifications against blast and fragmentation penetration, a model of underground arch structure with elastic support was established for a modal analysis on the structure subject to penetration and explosion with ANSYS/LS‐DYNA software for dynamic analysis. In the process, the effect of spring stiffness coefficient on the dynamic response of the structure was analyzed in terms of pressure, equivalent stress, and peak vertical displacement. The simulation results showed that the elastic support reduced the dynamic response of the structure, while the equivalent stress and pressure of each part of the underground arch structure were reduced, and the peak vertical displacement was increased as the stiffness coefficient of the elastic support was lowered, and the isolation efficiency of equivalent stress and pressure at the arch shoulder was lower than that at other parts. Therefore, reducing the stiffness coefficient of the elastic support alone cannot meet the need for vibration isolation of the arch shoulder, and the type or stiffness coefficient of elastic support should be selected reasonably according to the actual engineering requirements, so as to achieve a good vibration isolation effect.
CO2 Fluid Flow Patterns near Major Deep Faults: Geochemical and 3D Seismic Data from the Ying-Qiong Basin of the South China Sea
Authors: Yu Junfeng , Song Ruiyou , Pei Jianxiang , Wu Qilin , Shao Yuan
Published: March 2022

CO2 and hydrocarbon fluids typically migrate from deeper layers into the shallow crust via large deep faults. Consequently, CO2, hydrocarbon, and water reservoirs tend to occur in traps near deep and large faults. In this study, we use structural and stratigraphic data to identify and predict CO2 and hydrocarbon gas reservoirs near major deep faults. In order to investigate how CO2 accumulates in the major deep faults of the Ying-Qiong Basin (YQB), we quantify the carbon footprint of this area by analyzing the No. 1 fault, the No. 2 fault, and the adjacent gas reservoirs. Using 3D seismic data and geochemical data, we determine how the fault structure affects the ambient CO2 enrichment on a given fault. Our results indicate that the LD10 and BD19 gas reservoirs have high inorganic CO2 contents, while the HK29 gas reservoir has a low organic CO2 content. Based on our analyses, we conclude that the gas source, fault activity, and fault structure control the CO2 accumulation in subsurface layers. While mantle-derived volcanic inorganic CO2 disperses upward along the main fault when a given fault is independent (i.e., it lacks secondary faults), the absence of additional vertical migration channels largely prevents the CO2 from travelling upward through thick mudstone cap rocks and collecting in shallow traps. These shallow traps are typically filled by shallow organic CO2 sources. However, parallel forward fault-step structures, such as secondary faults, can transport gas that is produced at deeper sources (such as CO2 generated by basement limestone) to shallower depths. If the hanging wall of a deep fault has many branching secondary faults, then these intersecting faults act as conduits that enable mantle-derived CO2 to travel vertically into shallow layers.
Treatment Patterns, Safety, and Patient Reported Outcomes among Adult Women with Human Epidermal Growth Factor Receptor 2-Negative Advanced Breast Cancer with or without, or with Unknown, BRCA1/2 Mutation(s): Results of a Real-World Study from the United States, United Kingdom, and four EU Countries
Authors: Lux Michael Patrick , Lewis Katie , Rider Alex , Niyazov Alexander
Published: March 2022

Introduction: This real-world study assessed the breast cancer susceptibility gene 1 or 2 mutation (BRCA1/2mut) status on treatment patterns, safety, and patient-reported outcomes (PROs) in women with human epidermal growth factor receptor 2-negative (HER2−) advanced breast cancer (ABC) in the USA, the UK, and EU4 countries. Methods: Oncologists abstracted data from medical charts of adult women who presented with HER2− ABC from February to May 2015 and from March to July 2017. Data were collected using a physician-reported form and a patient-reported form, which included questions on breast cancer history/treatment and questions from PRO instruments (EuroQol 5-Dimensions 3-Levels [EQ-5D-3L], Brief Pain Inventory [BPI], European Organisation for Research and Treatment of Cancer [EORTC] Quality of Life Questionnaire Core 30 and its breast cancer module). Results: In total, 742 oncologists provided data for 6,161 patients; 27.5% were tested for BRCA1/2mut. Out of the total patient population, 3.8% had BRCA1/2mut, 16.6% BRCA1/2 wild-type (BRCA1/2wt), and 79.5% were BRCA1/2 unknown (BRCA1/2unk). Hormone receptor-positive (HR+)/HER2− ABC was more frequent within the BRCA1/2wt versus BRCA1/2mut group and triple-negative breast cancer (TNBC) within the BRCA1/2mut versus BRCA1/2wt group. More patients with HR+/HER2− ABC with BRCA1/2mut received chemotherapy (with or without targeted or endocrine therapy) versus BRCA1/2wt (66.0% vs. 50.4%; p < 0.01); more patients had ≥1 AE (58.0% vs. 39.1%; p < 0.001). Among patients with BRCA1/2mut versus BRCA1/2wt, a significantly higher proportion had some problems or worse pain discomfort (p = 0.021) and anxiety/depression (p = 0.007) as measured by the EQ-5D-3L; role functioning (p < 0.01) and dyspnea (p < 0.05) measured by EORTC were worse with BRCA1/2mut. Pain scores by BPI were similar between groups. Conclusions: In patients with HER2− ABC in the real-world setting, more patients with BRCA1/2mut had TNBC; received chemotherapy; had >1 AE; and experienced increased discomfort, anxiety, and dyspnea and diminished role functioning versus patients with BRCA1/2wt.
Blockage of CX3CL1 Attenuates Platelet and Leukocyte Recruitment in Murine Hepatic I/R
Authors: Funken Dominik , Brüggemann Alexandra , Mende Konstantin , Lerchenberger Maximilian , Rentsch Markus , Khandoga Andrej
Published: March 2022

Introduction: The chemokine fractalkine (CX3CL1) is critically involved in the pathophysiology of different inflammatory diseases and myocardial ischemia-reperfusion (I/R). This study aimed to analyze the role of CX3CL1 in the activation of platelets and leukocytes during hepatic I/R. Methods: Under inhalation anesthesia, C57BL6 mice were subjected to warm hepatic I/R (90 min/240 min). The animals were pretreated either with a function-blocking anti-mouse CX3CL1 antibody or IgG control administered systemically before ischemia. Sham-operated animals served as controls (n = 7 each group). The inflammatory response and sinusoidal perfusion failure were evaluated by intravital microscopy. Hepatic transaminases plasma levels and histopathological tissue damage were determined as markers of hepatocellular injury. Results: Sinusoidal perfusion failure, leukocyte recruitment to the liver, and transaminase activities were sharply increased upon I/R compared to sham-operated mice. Firm adhesion of platelets and concordantly leukocytes to endothelial cells is reduced significantly by a function-blocking anti-CX3CL1 antibody. We demonstrate that inhibition of CX3CL1 signaling attenuates leukocyte adhesion in the postischemic liver but does not significantly ameliorate overall perfusion failure and hepatocellular injury. Discussion/Conclusion: Our in vivo data demonstrate a mild attenuating effect of CX3CL1 blockade on platelet and leukocyte, but not CD4+ T cell accumulation and activation in hepatic I/R injury. We report a significant effect of blocking chemokine CX3CL1 on sinusoidal perfusion failure without considerably improving overall hepatocellular injury during early reperfusion.
Deficits in Seizure Threshold and Other Behaviors in Adult Mice without Gross Neuroanatomic Injury after Late Gestation Transient Prenatal Hypoxia
Authors: Cristancho Ana G. , Gadra Elyse C. , Samba Ima M. , Zhao Chenying , Ouyang Minhui , Magnitsky Sergey , Huang Hao , Viaene Angela N. , Anderson Stewart A. , Marsh Eric D.
Published: March 2022

Intrauterine hypoxia is a common cause of brain injury in children resulting in a broad spectrum of long-term neurodevelopmental sequela, including life-long disabilities that can occur even in the absence of severe neuroanatomic damage. Postnatal hypoxia-ischemia rodent models are commonly used to understand the effects of ischemia and transient hypoxia on the developing brain. Postnatal models, however, have some limitations. First, they do not test the impact of placental pathologies on outcomes from hypoxia. Second, they primarily recapitulate severe injury because they provoke substantial cell death, which is not seen in children with mild hypoxic injury. Lastly, they do not model preterm hypoxic injury. Prenatal models of hypoxia in mice may allow us to address some of these limitations to expand our understanding of developmental brain injury. The published rodent models of prenatal hypoxia employ multiple days of hypoxic exposure or complicated surgical procedures, making these models challenging to perform consistently in mice. Furthermore, large animal models suggest that transient prenatal hypoxia without ischemia is sufficient to lead to significant functional impairment to the developing brain. However, these large animal studies are resource-intensive and not readily amenable to mechanistic molecular studies. Therefore, here we characterized the effect of late gestation (embryonic day 17.5) transient prenatal hypoxia (5% inspired oxygen) on long-term anatomical and neurodevelopmental outcomes in mice. Late gestation transient prenatal hypoxia increased hypoxia-inducible factor 1 alpha protein levels (a marker of hypoxic exposure) in the fetal brain. Hypoxia exposure predisposed animals to decreased weight at postnatal day 2, which normalized by day 8. However, hypoxia did not affect gestational age at birth, litter size at birth, or pup survival. No differences in fetal brain cell death or long-term gray or white matter changes resulted from hypoxia. Animals exposed to prenatal hypoxia did have several long-term functional consequences, including sex-dichotomous changes. Hypoxia exposure was associated with a decreased seizure threshold and abnormalities in hindlimb strength and repetitive behaviors in males and females. Males exposed to hypoxia had increased anxiety-related deficits, whereas females had deficits in social interaction. Neither sex developed any motor or visual learning deficits. This study demonstrates that late gestation transient prenatal hypoxia in mice is a simple, clinically relevant paradigm for studying putative environmental and genetic modulators of the long-term effects of hypoxia on the developing brain.
Insulin Resistance in the Brain: Evidence Supporting a Role for Inflammation, Reactive Microglia, and the Impact of Biological Sex
Authors: Doust Yasmine V. , Sumargo Nicole , Ziebell Jenna M. , Premilovac Dino
Published: March 2022

Increased intake of highly processed, energy-dense foods combined with a sedentary lifestyle are helping fuel the current overweight and obesity crisis, which is more prevalent in women than in men. Although peripheral organs such as adipose tissue contribute to the physiological development of obesity, emerging work aims to understand the role of the central nervous system to whole-body energy homeostasis and development of weight gain and obesity. The present review discusses the impact of insulin, insulin resistance, free fatty acids, and inflammation on brain function and how these differ between the males and females in the context of obesity. We highlight the potential of microglia, the resident immune cells in the brain, as mediators of neuronal insulin resistance that drive reduced satiety, increased food intake, and thus, obesity.
Design and implementation of an automated office environment system using embedded sensors
Authors: Kumar Anil , Dessai Sanket S Naik , Yadav Shivaprasad
Published: March 2022

Office automation is the process using machines with the help of embedded computing perform the office activities and its tools and applications. The office automated using computer-aided processing stored, visual and audio data to simplify, improve, and automate the power saving and time management of the organization. A very important component of office automation concerns the automation of employee centred activities such as authentication, automatic alerting of appointments and automatic powering on/off personal computer. The employee image is captured using Java media framework, attendance records for all employees is gathered and processed automatically, and they can be accessed from the database on a monthly or weekly basis. The various software and hardware components of the system were developed and integrated to form the Exypnos Office System and validated on real life scenarios. Java proved to be a versatile platform for implementing a project of this nature with diverse requirements. Web camera interfacing and image capturing are implemented in the Java environment with the help of Java media framework (JMF). Java short message service (SMS) application programming interface (API) and Bluetooth technology is used for sending schedules through SMS. Radio frequency identification (RFID) systems use many different frequencies, but the most common and widely used and supported by our reader is 125 kHz. Office automation systems have more benefits to an organization. The project is implemented on MS Windows platform and in future can be implemented in Linux platform.
Contribution to the knowledge of flesh flies (Diptera: Sarcophagidae: Sarcophaginae) attracted to carcasses in Piura, Peru
Authors: Andrade-Herrera Kepler Nils , Mello-Patiu Cátia Antunes de
Published: March 2022

Despite being the most diverse family of flies found in carcasses and corps in the Neotropical Region, Sarcophagidae is still underestimated in Peru. This research was developed in the Department of Piura, Northern Peru and we identify the flesh flies captured on two kinds of animal carcasses: dog and guinea pigs. As a result, a new record was documented for Peru: Blaesoxipha (Gigantotheca) plinthopyga (Wiedemann, 1830) and eight new records for the Department of Piura.
A Lenda do Boto & da Cobra Grande
Authors: Thiago de Mello Isabella
Published: March 2022

A Lenda do Boto e' a mais encantadora das lendas porque traz a nossa relação de afeto com os animais e de respeito com a Natureza. São muitos os casos, quando o barco ou a canoa viram, de pessoas que são salvas pelos botos e não se afogam, são trazidas ate' a beirada do rio. Tambem tem os casos dos botos que ficam amigos de pescadores, quando acompanham a lida. Mas e' claro, que os melhores casos são os de namoro tanto com o macho quanto com a fêmea. Como são mamiferos, seus movimentos no ato do amor são muito parecidos com os humanos, (inclusive os orgãos), provavelmente venha dai' a lenda...E eu lhes digo porque ja' vivi: não ha' nada mais misterioso do que mergulhar no rio com estes animais, seres fascinantes ...lindos. Eu namoraria o boto lider do bando, tranquilamente, nadaria junto dos filhotes o dia inteiro, e ao cansar de tanta brincadeira, na beirada da praia, entregaria-me 'a magia, na ponta da Gaivota do rio Andira', o rio Sagrado dos Satere's Maue's.