bluuebunny/crossref_metadata_2025 huggingface dataset:
Minimizing the Error Gap in Smart Framing by Forecasting Production and Demand Using ARIMA Model
Authors: Wawale Surindar Gopalrao , Jawarneh Malik , Kumar P. Naveen , Felix Thomas , Bhola Jyoti , Raj Roop , Eswaran Sathyapriya , Boddu Rajasekhar
Published: May 2022

Agribusiness employs more than 66 percent of India’s rural population and is the country’s economic backbone. Beat crop growth is essential for practical farming since it increases soil diversity and actual design, and it may be grown in blended frameworks. Crop growth rates, applicability, and yields have not improved significantly over time in the United States. Crops are defined by their seasonality, derived nature of demand, and relatively inelastic pricing. The general purpose of this research is to demonstrate the usefulness of price forecasting for agricultural prices and validate it for rice, which is consumed more in Indian states, for the year 2022, using time series data from 2016 to 2021. Every year, data for 50 days is collected and multiplied. The range of ten and its multiple is used for predicting. The results were obtained through the use of univariate analysis. To develop grain price estimates, researchers used Autoregressive Integrated Moving Average (ARIMA) methods, and the precision of the forecasts was examined using conventional mean square error (MSE) and mean absolute percentage error (MAPE) standards. As proven by the outcomes of ARIMA price predictions, the ARIMA model’s efficacy as a tool for price forecasting was effectively demonstrated by realistic models of projected prices for 2020. Because the MSA and MAPE values were lower, the forecast was more accurate. In addition, the price forecasting in this model is dependent on government incentives.
[Retracted] Early Detection of Autism Spectrum Disorders (ASD) with the Help of Data Mining Tools
Authors: Abdulrazzaq Ammar Akram , Hamid Sana Sulaiman , Al-Douri Asaad T. , Mohamad A. A. Hamad , Ibrahim Abdelrahman Mohamed
Published: May 2022

Autism is a disorder of neurobiological origin that originates a different course in the development of verbal and nonverbal communication, social interactions, the flexibility of behavior, and interests. The results obtained offer relevant information to reflect on the practices currently used in assessing the development of children and the detection of ASD and suggest the need to strengthen the training of health professionals in aspects such as psychology and developmental disorders. This study, based on genuine and current facts, used data from 292 children with an autism spectrum disorder. The input dataset has 20 characteristics, and the output dataset has one attribute. The output property indicates whether or not a certain person has autism. The research study first and foremost performed data pretreatment activities such as filling in missing data gaps in the data collection, digitizing categorical data, and normalizing. The features were then clustered using k‐means and x‐means clustering methods, then artificial neural networks and a linguistic strong neurofuzzy classifier were used to classify them. The outcomes of each strategy were examined, and their respective performances were compared.
Clinical Observation of MRI Image in Floating Needle Therapy for Cervical Spondylosis of Cervical Type
Authors: Liu Xianqiang , Tang Zhenyi , Wang Botao , Chen Yongshuai
Published: May 2022

In order to solve the problem of cervical spondylosis in the early stage of various cervical spondylosis, effective treatment can prevent the deterioration of the disease. This paper presents the results of a clinical trial examining magnetic resonance imaging in the treatment of cervical spondylosis with flotation therapy and selected 68 patients with cervical spondylosis. According to research commodity, using a rigorous randomized controlled trial, 34 cases were divided into a control group (acupuncture group). The needles were kept for 30 minutes once a day. The treatment group (acupuncture combined with floating acupuncture group) was treated with acupuncture on the 1st, 3rd, and 5th days and floating acupuncture on the 2nd, 4th, and 6th days, respectively. Both groups were treated for 6 consecutive days and rested for 1 day. After 2 weeks of treatment, the simplified McGill Pain Scale (MPQ), visual analogue scale (VAS), and neck pain scale (NPQ) were observed and recorded to compare the curative effects. Finally, Excel software is used to manage the data, and SPSS21.0 is used for statistical analysis. Measurements of gender, age, disease, VAS, simple MPQ, and NPQ of the two groups were compared in the two groups,P>0.05, which was not significant and comparable. After treatment, VAS, simple MPQ, and NPQ of the two groups were compared in and between groups, the totalP<0.05, with the mean data. Topics. Acupuncture combined with float needle and acupuncture therapy can improve the pain and breathing of cervical spondylosis and improve the quality of life of patients, but acupuncture combined with needle float is more pronounced than acupuncture groups.
Understanding the Antinutritional Factors and Bioactive Compounds of Kodo Millet (Paspalum scrobiculatum) and Little Millet (Panicum sumatrense)
Authors: Dey Swarnima , Saxena Alok , Kumar Yogesh , Maity Tanushree , Tarafdar Ayon
Published: May 2022

Kodo and little millet (Kutki) have a variety of phytochemical constituents including derivatives of hydroxybenzoic acid and hydroxycinnamic acids, myricetin, catechin, luteolin, apigenin, daidzein, naringenin, kaempferol, and quercetin with vast health benefits and thus can be utilized as functional food ingredients. Millet-based foods and their food products have physiological and health-promoting impacts, notably antidiabetic, anti-obesity, and cardiovascular disease, and based on the actions of phytochemicals, it plays a major role in the body’s immune system. However, antinutrients (tannins, oxalate, trypsin inhibitor, and phytates) present in these millets restrict their utilization since these factors bind the essential nutrients and make them unavailable. Therefore, this review suggested overcoming the effects of antinutrients in these millets, thereby opening up important applications in food industries that may promote the development of novel functional foods. Various methods were discussed to eliminate the antinutrient factors in these millets, and hence, the review holds immense significance to the food industry for effectively utilizing these millets to develop value-added RTE/RTC products/functional food/beverages.
Impacts of Mobile Media on the Ideological and Political Education in Colleges under 5G
Authors: He Guangming , Huang Yan
Published: May 2022

With the advancement of digital technology, new tools and methods in education are being developed to improve teaching and learning. The use of technology in educational activities improves the functional, cognitive, and psychomotor skills of students. This study investigated the application of mobile media in the improvement of ideological and political education. The concepts, features, and types of the new media under 5G are defined, and specific forms, opportunities, and challenges of applications of new media in the ideological and political education of colleges are analyzed. The use of new media applications among college students is investigated using the “xuexi.cn” application software. Results show that various mobile applications of new media have the best foreground in the media technologies. Applying new media technologies to ideological and political education is not just an innovation in the method of ideological and political education but also is an extension and supplement to traditional ideological and political classes. Colleges should use new media technologies effectively and scientifically to create a good environment for college students and help them get a better knowledge of ideological and political education.
Deep Learning Algorithm-Based Target Detection and Fine Localization of Technical Features in Basketball
Authors: Li WenHao , Wu Yangyang , Lian BiZhen , Zhang MingXin
Published: May 2022

Based on SSD to detect players, a super-pixel-based FCN-CNN player segmentation algorithm is proposed to filter out the complex background around players, which is more conducive to the subsequent pose estimation for target detection and fine localization of basketball technical features. The high resolution capability of CNN is used to extract images and perform computational preprocessing to identify typical basketball sports actions in video streams—rebounds, shots, and passes—with an accuracy rate of up to 95.6%. By comparing with three classical classification algorithms, the results prove that the target detection system proposed in this study is effective for target detection and fine localization of basketball sports technical features.
A Novel Keyword Generation Model Based on Topic-Aware and Title-Guide
Authors: Ma Jialin , Cheng Jieyi , Zhang Yue
Published: May 2022

Keywords are usually one or more words or phrases that describe the subject information of the document. The traditional automatic keywords extraction methods cannot obtain the keywords which do not appear in the document, and the semantic information is not considered in the extraction process. In this paper, we introduce a novel Keyword Generation Model based on Topic-aware and Title-guide (KGM-TT). In the KGM-TT, the neural topic model is used to identify the latent topic words, and a hierarchical encoder technology with attention mechanism is able to encode the title and its content, respectively. The keywords are generated by the recurrent neural network with attention and replication mechanism in our model. This model can not only generate the keywords which do not appeared in the source document but also use the topic information and the highly summative word meaning in the title to assist the generation of keywords. The experimental results show that the F1 value of this model is about 10% higher than that of CopyRNN and CopyCNN.
Efficacy of Oxymatrine Plus Antiviral in the Treatment of Sepsis and Its Effect on the Levels of Endotoxin and Inflammatory Factors
Authors: Zhao Jinglin , Wei Qi , Guo Shengchao , Wang Hao , Zhao Chao , Hu Caihong , Liu Cuicui , Dai Qingchun , Wang Rui
Published: May 2022

Objective. To assess the clinical efficacy of oxymatrine plus antiviral therapy in the treatment of sepsis and its effects on the levels of endotoxin and inflammatory factors. Methodology. 90 patients with sepsis were selected for retrospective analysis and were assigned to receive either conventional treatment (control group) or oxymatrine plus antiviral treatment (study group). The clinical endpoint was treatment efficacy. Results. There were no significant differences in baseline patient profile between the two groups (

P
>
0.05

). The study group showed a higher efficiency versus the control group (

P
<
0.05

). Patients in the study group had a significantly shorter mechanical ventilation duration and ICU stay versus those in the control group (

P
<
0.05

). Both groups had reduced Acute Physiology and Chronic Health Evaluation II (APACHE II) score, Marshall score, levels of endotoxin, tumor necrosis factor-α (TNF-α), interleukin (IL)-6, IL-8, C-reactive protein (CRP), and procalcitonin (PCT) after treatment, with lower results in the study group versus the control group (

P
<
0.05

). Conclusion. Oxymatrine plus antiviral therapy effectively improves clinical efficacy, reduces the levels of endotoxin and inflammatory factors, protects organ function, and boosts recovery. Further clinical trials are, however, required prior to general application in clinical practice.
Reliability Analysis of Safety Assessment of Buildings above Twin Shield Tunnels Based on Random Field Theory
Authors: Li Jianbin , Huang Junguang , Tong Huawei , Zhang Shankai
Published: May 2022

Aiming at the problem of deformation of adjacent masonry structures caused by the surrounding soil disturbance in the construction of twin shield tunnels, taking the spatial variability of soil parameters as the breakthrough point and the surface deformation mode as the basis, a program is compiled to search the position of characteristic points of the settlement curve, and a safety assessment method of masonry buildings above twin tunnels based on the random field theory is obtained. According to the reliability theory, the concept of the potential damage zone is defined. The probability that the maximum tensile strain of the building exceeds the allowable ultimate tensile strain is not less than 5% in the potential damage zone. The assessment method mentioned above, together with the Monte Carlo simulation, is used to evaluate the safety of buildings and the range of potential damage zones induced by twin tunneling with different relative locations and different construction sequences, taking into account configurations and construction sequences of twin tunnels, the scales of fluctuation of elastic modulus of the soil, and the size of the building. The research results show that, in the parallel and overlapping twin tunnels, the randomness of the surface deformation mode caused by construction increases with the decrease of the transverse scales of fluctuation or the increase of the vertical scales of fluctuation. In overlapping and shoulder-mounted twin tunnels, the effect of the construction sequence on the safety of buildings is the opposite. When the overlying tunnel is excavated first in shoulder-mounted condition, the safety of buildings is more excellent. Considering the effect of the spatial variability of parameters, the probability of higher damage levels in the buildings is significantly increased. The greater the scales of fluctuation, the greater the damage probability. The potential damage zones of the buildings will be expanded, and the safety distance of the buildings will be wider than the deterministic analysis result by 1.5∼2.5 m.
Effect Evaluation of Nanosilica Particles on O/W Emulsion Properties
Authors: Qu Guanzheng , Su Jian , Shi Tao , Guo Rui , Peng Jiao
Published: May 2022

O/W emulsion reinforced by nanosilica particle has good application in hydrocarbon development. However, there are few reports on the influence of nanosilica particles on the oil-water interface of O/W emulsion. The effect of nanosilica particles on the interfacial properties of O/W emulsion was indirectly investigated by measuring the interfacial properties between aqueous dispersion of nanosilica particles and kerosene, and the properties of O/W emulsion reinforced by nanosilica particle were studied. The results showed that the aqueous dispersion of nanosilica particles could significantly reduce the interface tension (with kerosene) by more than 50%, and the interface tension between the aqueous dispersion and kerosene decreased with the increase in nanosilica content. The aqueous dispersion of nanosilica particles could significantly change rock wettability. When the content of nanosilica particles increased from 0.1% to 0.7%, the contact angle decreased from 44.89° to 27.62°. The surface tension of O/W emulsion prepared by the aqueous dispersion of nanosilica particles and kerosene was among 25 mN/m~30 mN/m. The contact angle was also particularly small, with an average of about 20.00°, a minimum of 12.50°. The salts had little effect on the interface tension of emulsions but had a significant influence on the contact angle and its stability. Magnesium salt could reduce the three-phase contact angle and increase the hydrophilic properties of O/W emulsion, while calcium salt had the opposite effect. Calcium salt and magnesium salt could reduce the stability of the emulsion, and calcium salt had a greater influence. The oil-water stratification adding either calcium salt or magnesium salt was about 1 day~3 days earlier than that without salts. In the experiment, when the content of nanosilica particles was among 0.3%~0.7%, the viscosity of O/W emulsion increased with the increase in nanosilica particles. When the content was 0.9%, the viscosity suddenly decreased, and the extent of reduction was about 21.7%. The findings of this study can help for better understanding the application of nanosilica particles in O/W emulsion, giving some suggestions for the application of nanoparticles in hydrocarbon development.
(−)-Epicatechin Reduces Neuroinflammation, Protects Mitochondria Function, and Prevents Cognitive Impairment in Sepsis-Associated Encephalopathy
Authors: Ling Jianmin , Wu Yanqing , Zou Xiaojing , Chang Yanmin , Li Gang , Fang Minghao
Published: May 2022

Sepsis-associated encephalopathy is a common neurological complication of sepsis. Despite advances in pathological and diagnostic investigations, its treatment remains a major challenge. In sepsis-associated encephalopathy, neuroinflammatory overactivation and mitochondrial damage are thought to contribute to cognitive and behavioral impairments. In this study, we found that administration of (−)-Epicatechin, a dietary flavonoid of the flavan-3-ol subgroup, improves memory deficits and behavior performance by ameliorating neuroinflammation, regulating mitochondria function, enhancing synaptic plasticity, and reducing neuronal loss in a mouse model of lipopolysaccharide-induced sepsis. We further show that the AMPK signaling pathway might be among the mechanisms involved in the beneficial memory effects. Our data demonstrated the potential of (−)-Epicatechin as a new drug candidate for the treatment of sepsis-associated cognitive impairment by targeting AMPK.
Detecting, Monitoring, and Analyzing the Surface Subsidence in the Yellow River Delta (China) Combined with CenterNet Network and SBAS-InSAR
Authors: Li Zhenjin , Wang Zhiyong , Liu Wei , Li Xing , Zhou Maotong , Zhang Baojing
Published: May 2022

Long-term industrial activities tend to cause surface subsidence and damage to ground facilities and local ecological environment. Monitoring and analyzing surface subsidence is of great significance to prevent potential disasters. The surface type of the Yellow River Delta in China is complex and there are many industrial activities, so it is necessary to monitor the surface subsidence in this area. Small Baseline Subset InSAR (SBAS-InSAR) can monitor the surface subsidence with millimeter-level accuracy, but it takes a long time to process wide images (Sentinel-1) and is seriously affected by atmospheric errors. To avoid these limitations, we constructed a method combining the CenterNet network and SBAS-InSAR (CNSBAS-InSAR). Firstly, the CenterNet network is used to automatically detect the subsidence areas from the wide differential interferogram formed by two SAR satellite images and determine the location of the subsidence area. Then, the SBAS-InSAR monitoring is performed on the detected multiple subsidence areas. Finally, the small-scale subsidence results are obtained. In this study, based on 24 Sentinel-1A satellite images acquired from 10 January 2018 to 24 December 2018, nine subsidence areas in Yellow River Delta were detected. Three of them had long-term surface subsidence. They were located in Zhanhua District, Xianhe Town, and Hongguang Village, respectively. This paper focuses on analyzing these three areas. The maximum subsidence rate of Zhanhua District, Xianhe Town, and Hongguang Village were −135.21 mm/a, −330.91 mm/a, and −209.68 mm/a, respectively. In addition, the analysis showed that precipitation in the Zhanhua District could effectively slow down the subsidence rate of the area. The subsidence of Xianhe Town threatened the safety of the Shugang Expressway. The subsidence of Hongguang Village caused the safety risks of buildings. The results of this study prove that CNSBAS-InSAR method is reliable for monitoring subsidence areas and it can provide a reference for local construction and protection of Yellow River Delta.
Application of Feature Selection Based on Elastic Network and Random Forest in the Evaluation of Sports Effects
Authors: Ren Lina , Cao Shen
Published: May 2022

With the rapid development of data mining and machine-learning technology and the outbreak of big sports data mining development challenges, sports data mining cannot simply use data statistical methods such as how to combine machine learning and data mining technology for effective mining and analysis of sports data, to provide useful advice for public physical exercise, and this is an urgent need to study. It is a kind of efficient sports data mining study through the feature selection algorithm. Around the difficult problems existing in the study of sports effect, given the limitations of existing data sets and traditional research methods, this paper starts from the data mining algorithm, builds the sports effect evaluation database, based on feature selection idea, using elastic network algorithm, random forest algorithm, and the influence of sports on the effect of physical indicators. The evaluation algorithm introduces machine learning algorithm and feature selection algorithm to guide the sports effect evaluation research. When studying the evaluation problem of sports effect, according to the constructed sports effect evaluation database, elastic network algorithm is added to regularize, optimize, and realize feature selection. When selecting the characteristics of different sports ability, using information gains indicators to rank the importance of characteristics, which can scientifically and accurately obtain the influence degree of sports on different physical indicators, make the physical fitness research more scientific, and can reveal the effect of sports as far as possible. Experimental results show that the selected features and ground-truth have good accuracy, good evaluation performance, and high accuracy compared with the baseline method.
Evaluation of Indoor Energy-Saving Optimization Design of Green Buildings Based on the Intelligent GANN-BIM Model
Authors: Wan Yan , Zhai Yujia , Wang Xiaoxiao , Cui Can
Published: May 2022

The present research showcases the Indoor Energy-Saving Optimization Design of green buildings. This integrated approach synergizes a building’s Indoor Energy-Saving process based on the intelligent GANN-BIM model. The GANN-BIM model is driven by genetic algorithms (GAs), which include artificial neural networks (ANNs) along with building information models (BIMs). Building information modeling (BIM) is a technology that involves the modeling and management of digital representation of all forms of structural buildings. These intelligent models can be exchanged and extracted in the form of files and are mainly used for the designing and decision-making of a building. The BIM model is empowered as an intelligent technology by incorporating artificial neural networks (ANNs) and genetic algorithms (GAs). The main objective of the research is Indoor Energy-Saving by implementing an optimized design of green buildings. Green buildings can benefit from the GANN-BIM model’s ability to handle complex and conflicting design requirements while using less computational power during the evaluation of the proposed approach. There are a variety of new green building technologies being developed, but they all share a common goal: to reduce human health and environmental impact by maximizing energy, water, and other resource efficiencies; protecting occupant health; reducing waste; and decreasing pollution. The empirical results of GANN-BIM proved that the proposed model outperforms well in enhancing energy evaluation.
Radio Resource Allocation Algorithm of the M2M Communication System in 5G Era
Authors: She Yuanjun , Li Zhi
Published: May 2022

M2M is a concept and a general term for all technologies that enhance the communication and network capabilities of machines and equipment. It is a combination of different types of communication technologies. M2M enables all devices and users to share information, saving operation time and improving work efficiency. M2M is not a simple data transmission, but it is an intelligent and interactive communication between machines. Even if no real-time signal is sent, the machine will actively communicate according to the established program and select intelligently according to the obtained data. The communication system refers to the general term of the technology that completes the information transmission function. The modern communication system is mainly realized by the propagation of electromagnetic waves in free space or the transmission mechanism in the guiding medium. When the wavelength of the electromagnetic wave reaches the light wave range, such a telecommunication system is called an optical communication system, and the communication system in the other electromagnetic wave range is called an electromagnetic communication system, abbreviated as a telecommunication system. The purpose of this paper is to explore the study of wireless data sharing method for M2M mobile telecommunication systems in the 5G era. It is expected that the new algorithm will make the wireless resource allocation more reasonable and improve the resource utilization rate. The performance of the deterministic measurement matrix proposed in this paper is close to or even better than that of the random measurement matrix. The M-SP algorithm greatly improves the performance of the SP algorithm. The experimental results of this paper show that when the number of microbase stations is 10, the energy consumption of the direct algorithm is 175000 W, the energy consumption of the indirect algorithm is 350000 W, and the energy consumption of the direct algorithm is much smaller than that of the indirect algorithm.
Clinical Effect of Retroperitoneal Laparoscopic Radical Nephrectomy on Renal Cell Carcinoma, the Influence of Renal Function, and the Influencing Factors of Recurrence
Authors: Pei Xiaming , Hu Xiaoxiao , Xu Zhenzhou , Liu Kan , Jiang Shusuan , Liu Zhizhong , Xie Yu , Han Weiqing
Published: May 2022

Renal cell carcinoma is abbreviated as renal carcinoma, and its clinical symptoms are basically hematuria, lumbago, and abdomen bump. As people’s lifestyles change, the incidence of renal carcinoma continues to rise due to factors such as smoking and obesity. At present, surgical treatment is mostly used in clinical practice. Traditional open radical nephrectomy (ORN) is one of the main methods for clinical treatment of renal carcinoma. However, due to its large wound and large amount of intraoperative blood loss, the renal function of patients after surgery is poor, which is not conducive to the postoperative recovery of patients. Retroperitoneal laparoscopic radical nephrectomy (RLRN) has been widely used in the surgical treatment of renal cancer due to its advantages of small wound, less bleeding, and rapid recovery. The purpose of this study was to investigate the efficacy of RLRN in the treatment of renal cancer patients and its effect on renal function and to analyze the related factors affecting postoperative recurrence of patients. We adopt ORN and RLRN, two kinds of treatment, in patients with renal cancer surgery way, contrast analysis of the two groups of operation time, intraoperative blood loss, postoperative intestinal function recovery time, drainage tube indwelling time, length of hospital stay, and other clinical indicators and renal function indexes and use the single factor analysis and multifactor analysis, the relevant factors that affect kidney cancer patients with postoperative recurrence. The results showed that, compared with ORN treatment, RLRN treatment of renal cancer patients has a short operation time, less trauma, quick recovery after surgery, and fewer complications and can effectively alleviate the renal function injury and the body’s inflammatory response, which is worthy of promotion. Postoperative recurrence was related to age, tumor diameter, TNM stage, surgical method, and postoperative immunotherapy.
Information Resource Sharing Based on University Dance Big Data Management and Utilization System Design
Authors: Liu Rui , Wang Lei
Published: May 2022

With the expansion of college enrollment, the number of college students is increasing, and the amount of information to be dealt with in the information management of college students is increasing. In most colleges and universities, managing college student information is done artificially. In this context, how to effectively manage and utilize the dance big data of college students has important research value. Therefore, this article takes the development and realization of student dance under the public service platform system of colleges and universities as the subject and design the university dance big data management and utilization system based on information resource sharing. Due to the high mobility of college students, this work also carries out an information resource sharing strategy to establish the dance big data management and utilization system for universities; after the implementation of the student dance big data management service system, colleges and universities can provide more convenient transfer, management, query, and other services of student files.
A Study on the Factors Influencing Coal Fracturing Range Caused by Liquid Carbon Dioxide Phase Transition
Authors: Hu Xinyu , Zhang Runxu , Zhang Bailin , Zhang Xinghua , Zhang Lulu , Yang Yongdan , Yan Fazhi
Published: May 2022

Liquid carbon dioxide phase transition fracturing technology (LCPTF) is an effective method to increase coal seam permeability, but there are many factors that affect the fracturing effect. Blasting pressure, vent diameter, and blasting time are important factors that affect the fracturing effect. However, very limited studies were performed in this regard. Therefore, in this paper, a multifield coupled model for fracturing coal bodies by LCPTF is established; the effect of blasting pressure, vent diameter, and blasting time on blasting effectiveness was studied; a numerical simulation study based on the seepage field and stress field is performed and verified in the field based on the specific geological conditions of Hujiahe mine. Experimental results show that the fracturing radius and the maximum displacement of coal increase with the increase of blasting pressure, and the fracturing radius is 4.875 m when the blasting pressure is 280 MPa, which is 9.6% higher than that of 200 MPa, and the effect is obvious. The fracturing effect improves with the increase of vent diameter but the effect is modest. In general, the fracturing effect increases with the increase of CO2 impact duration, and when there is no gas impact, the fracturing radius basically remains the same. The maximum displacement gradually decreases with time, and its maximum displacement of the coal body decreases by 33.69% at 200 s. After field blasting, the gas flow attenuation coefficient was reduced by up to 85.7% and the effective radius of influence was between 4 and 5 m.
Ferroptosis Induction Improves the Sensitivity of Docetaxel in Prostate Cancer
Authors: Chen Xiumei , Yu Yang , Liang Sudong , Guan Zhenghui , Shi Hui , Zhu Qingyi , Lin Jianzhong
Published: May 2022

Docetaxel resistance seriously affects its clinical application in prostate cancer (PCa). Ferroptosis is a type of iron-dependent cell death driven by lipid peroxidation. It has been recently found that ferroptosis influences various biological processes. However, the potential role of ferroptosis in docetaxel chemotherapy for PCa is still elusive. In this study, we aimed to explore whether altering the level of ferroptosis can affect docetaxel sensitivity in PCa. The results indicated that docetaxel promoted ferroptotic cell death in several PCa cells, and ferroptosis inducers, erastin, and RSL3 markedly increased the cytotoxic effect of docetaxel. Furthermore, our results showed that ferroptosis resistance was closely associated with docetaxel insensitivity in PCa-resistant cells. Erastin or RSL3 rendered resistant PCa cells susceptible to docetaxel, with elevated levels of lipid ROS and decreased protein expression of GPX4 and SLC7A11. Moreover, treatment with erastin and RSL3 led to significant suppression of resistant tumors, and the combination of RSL3 with docetaxel significantly halted tumor growth in vivo when compared with either drug. Taken together, our findings indicate that ferroptosis is involved in docetaxel resistance, and its inducers are promising therapeutic strategies for advanced PCa.
Experimental Investigation of Concrete Characteristics Strength with Partial Replacement of Cement by Hybrid Coffee Husk and Sugarcane Bagasse Ash
Authors: Tarekegn Muliye , Getachew Kabtamu , Kenea Goshu
Published: May 2022

Concrete is the most extensively utilized construction material globally and is increasingly used due to industrialization and urbanization. Currently, most scientists worldwide are concentrating their attention on effective strategies to adopt materials from large amounts of waste resources as a partial substitute for cement in concrete production due to scarcity of resources and continuous environmental pollution. In this study, an experimental investigation was conducted on the properties of concrete made from the partial replacement of cement by hybrid coffee husk ash (CHA) and sugarcane bagasse ash (SCBA). The study considered different percentages (0%, 5%, 10%, and 15%) of hybrid ash to assess the engineering properties of fresh and hardened concrete of C-20/25. A slump and compaction factor test was conducted to study the workability of fresh concrete. The study showed that, as the percentage of replacement increased from 0% to 15%, the workability of the concrete decreased up to 15.15%. In addition, compression, split tensile, and flexural tests were done on the 7th, 14th, and 28th days to investigate the properties of hardened concrete. Based on the test result, 10% of hybrid ash was the maximum percentage of replacement that showed a compressive and tensile strength greater than the target strength. Therefore, the study concludes that up to 10% replacement of cement by hybrid ash may be employed in concrete production, which in turn is used to minimize the cost of construction and environmental pollution by recycling waste coffee husk and sugarcane bagasse.
The Influence of Work Environment on Employee’s Psychological Relationship: A Case Study of Japanese Literature
Authors: Xin Ziyu
Published: May 2022

The new generation of employees grows up in the environment of rapid economic development, fierce competition, diversified values, and multiple channels of cultural communication, and their unique growth environment creates characteristics such as their unstable psychological state, poor adjustment ability, and significant self-awareness. The special psychological condition of the new generation employees will affect their own development and that of the organization. How to effectively manage the psychological capital of new generation employees has become an urgent problem for modern human resource management. Based on the social exchange theory and resource conservation theory, this study explores the relationship between the psychological capital of new generation employees and their job performance and propensity to leave and proposes research hypotheses and research models. Based on the survey data of 330 new generation employees, SPSS software was used to analyze the data and test the hypotheses. The psychological capital, job performance, and turnover tendency of new generation employees differed to different degrees in terms of age, education, years of work experience, and position level. The psychological capital of the new generation employees had a significant negative effect on the propensity to leave. Psychological capital had a significant positive effect on the relational performance dimension of job performance, and among the four dimensions of psychological capital, resilience and optimism had a significant positive effect on relational performance, while self-efficacy and hope had no significant effect on relational performance. The psychological capital of new generation employees mainly contributes to task performance through hope, resilience, and optimism and to relational performance through resilience and optimism.
Analysis of Heat and Mass Transfer of Fractionalized MHD Second-Grade Fluid over Nonlinearly Moving Porous Plate
Authors: Jamil Muhammad , Ahmed Israr , Khan Ilyas , Faryaz Umar , Alghtani Abdulaziz H. , Andualem Mulugeta
Published: May 2022

This study investigates the heat and mass transfer in the MHD flow of fractionalized second-grade fluid induced by impulsively moved bottom porous plate with nonlinear velocity of the magnitude KTD. To acquire the fractionalized nondimensional set of flow administering differential equations, fractional calculus and dimensionless variables are considered. The solution process utilizes Laplace transform and results in the acquired outputs in terms of generalized functions. The exact solutions for concentration, temperature, velocity, and the shear stress are then reduced by certain limits into fractional/traditional second-grade and Newtonian fluids as per the special cases within and out of the magnetic and porous effects. It is observed that these special cases occur in the previous published literature which verify the results of this study. The results are pictorially visualized to perform the analysis for impacts of diverse physical parameters and dimensionless quantities on concentration, temperature, and velocity fields. It is learned from the analysis that magnitude of viscoelastic parameter is directly proportional to velocity whereas the porous and magmatic effects are inversely proportional. Increasing fractional parameter values reduce flow fields of velocity and temperature. Effects of dimensionless parameters for heat and mass transfer are analysed in detail.
Anesthetic Effect of Dexmedetomidine in Clinical Functional Neurosurgery
Authors: Zhu Yuanmao , Pang Gang , Lu Bing , Jiang Ling , Rao Chuanhua , Tong Shanshan
Published: May 2022

Background. Dexmedetomidine is a highly selective and efficient α2-adrenoceptor agonist with good antianxiety, analgesic, hypnotic, and sedative effects without causing respiratory depression. Aim. To investigate the anesthetic effect of dexmedetomidine in clinical neurosurgery. Methods. A total of 94 patients who received functional neurosurgical treatment in our hospital from March 2019 to October 2020 were selected and divided into the study and control groups. Routine anesthesia was adopted in the control group, while dexmedetomidine was used in the study group. Perioperative hemodynamic indicators such as mean arterial pressure, heart rate, and peripheral capillary oxygen saturation, cognitive function score, pain score VAS, stress response index level, and incidence of adverse reactions were compared between the two groups. Results. Before surgery (T0), no significant differences in MAP, HR, and SpO2 were observed between the two groups. However, at the beginning of the operation (T1), 30 min after the operation (T2), and immediately after the operation (T3), these indicators in the study group were significantly higher than in the control group. The postoperative MMSE of the study group 3 d later was significantly higher than that of the control group. The VAS scores after the operation of the study group were lower than those of the control group. The serum cortisol (COR) and aldosterone (ALD) levels in the study group were not significantly different from those in the control group before surgery. The levels of each index in the two groups were higher than those before and 24 h after surgery. The incidence rate of adverse reactions in the study group was lower. Conclusion. The application of dexmedetomidine in clinical functional neurosurgery is safe and can maintain hemodynamic stability and reduce the degree of stress response, cognitive impairment, and pain caused by invasive surgery.
Detection Algorithm of Tennis Serve Mistakes Based on Feature Point Trajectory
Authors: Tang Hongxin
Published: May 2022

To address the issue of high recognition error in conventional action error detection methods, this article proposes a game of tennis serve error action detection algorithm based on feature point trajectory. To begin, a feature detection model for tennis serve images is established, followed by segmentation of the tennis serve images’ multiscale features. Second, the path of the tennis serving image is effectively corrected, thereby raising the bar for tennis training and competition. Additionally, a visual feature acquisition system for tennis serving action is being developed using remote video monitoring in order to correct the path of the serving image during play. The corner mark of the serving action error point is determined using this algorithm, and the optimal modeling of the tennis serving image’s path correction is realized using the developed edge segmentation algorithm. The results of simulations demonstrate that the aforementioned algorithm improves real-time performance and accuracy, and that it can accurately track players’ visual edge information feature points while they are serving, conduct real-time evaluation and guidance via an expert system, effectively correct the tennis serving image path, and enhance your capacity for service.
Study on Antiweathering Support Technology of Thin Spray-On Liners in Shallowly Buried Coal Seam Roadway under Corrosion Condition
Authors: Zhang Jie , Zhuo Qing-Song , Yang Sen , Yang Tao , Wang Bin , Bai Wen-Yong , Wu Jian-Jun , He Yi-Feng , Li Hong-Ru
Published: May 2022

The thin spray-on liner is an inorganic polymer product that has been widely used to support mine perimeter rock roadways, but it is mainly used in metallic hard rock roadways with high rock strength and is less used in roadways affected by roadway corrosion and weathering in shallowly buried coal seams. Therefore, this study studies the thin spray-on liner support technology under such geological conditions. First, the causes of anchor support failure in this condition are analyzed, and it is concluded that alkaline ionized water corrodes the anchor rods, and chloride ions in the water play a role in accelerating the degree of anchor rod corrosion. Next, microscopic testing was used to determine the content of weathering and swelling minerals contained in the roof rock and the development of tectonic fissures. Third, the loosening circle of the surrounding rock is theoretically calculated and used as a basis to design the anchor mesh rope support parameters for the roadway. Finally, the construction process of a thin spray-on liner anticorrosion and antiweathering support technology is introduced. This technology improves the anchor force environment of anchor rods while incorporating anchor rods (ropes)—rock—metal mesh into the support system to play a coupling support role. On-site monitoring is performed to derive the optimum thickness of the spraying layer in different environments. At the same time, the deformation of the roadway surrounding rock and the anchor force can be improved to meet the requirements of anticorrosion and antiweathering and tighten the roadway surrounding rock. Compared with concrete support technology, the economic and environmental benefits of this support technology are apparent, and it helps to promote the application in shallowly buried coal seam mines.
Prediction of Sacral Screw Loosening after Lumbosacral Surgeries Involving Rigid Fixation of Sacral Bone Using Preoperative Computed Tomography Scans
Authors: Muheremu Aikeremujiang , Yakufu Maihemuti , Jiang Junyao , Mardan Muradil , Li Lei , Zhang Rui , Aili Abudunaibi , Luo Zhaohui
Published: May 2022

Objective. To find a preoperative computed tomography‐based method to predict the incidence of sacral screw loosening and assist surgical planning. Methods. Surgically treated patients for degenerative lumbosacral disorders with rigid pedicle screw fixation of patients with L5‐S1 vertebra in our center from January 2016 to January 2021 were retrospectively included in the current study. CT scan attenuation of the horizontal plane of the sacrum was measured with Hounsfield units (HU). Postoperative X‐ray tests were used to diagnose screw loosening. The data was analyzed by independent sample t‐tests, X2 analysis, Pearson correlation analysis, and ROC curve analysis. Results. A total of 162 (114 male, 48 female, average age 63.7 ± 7.3 years) patients were included in the final analysis. Significant differences were found between the screw loosening group and nonloosening group concerning the HU value of the sacrum at the horizontal plane (P < 0.01). In ROC curve analysis, AUC was 0.674 (95% CI: 0.592‐0.756). A cutoff of 200 HU provided 64.8% sensitivity and 62.4% specificity, and a cutoff of 150 HU provided 90.2% sensitivity. Conclusions. Analyzing 162 patients with at least 12 months of follow‐up, we propose cutoff CT attenuation values of 200 HU and 150 HU to take moderate and radical measures of screw augmentation to prevent screw loosening in the sacral bone.
CBR3-AS1 Accelerates the Malignant Proliferation of Gestational Choriocarcinoma Cells by Stabilizing SETD4
Authors: Zhang Yajuan , Zhang Hongxiu , Zhang Xiaolei , Liu Bin
Published: May 2022

Background. Gestational choriocarcinoma (GC) is a rare malignant gestational trophoblastic tumor. Long noncoding RNA (lncRNA) CBR3 antisense RNA 1 (CBR3-AS1) has been reported to serve as a critical oncogene and facilitate tumor progression. Besides, we found that CBR3-AS1 is implicated in GC progression. Materials and Methods. Gene and protein expression was detected via quantitative reverse transcription PCR (RT-qPCR) and western blot analyses, respectively. CCK-8 assay and colony formation assay were performed to assess cell proliferative abilities while flow cytometry analysis was applied for cell cycle and apoptosis. To analyze the specific mechanism among CBR3-AS1, SET domain containing 4 (SETD4), and polypyrimidine tract binding protein 1 (PTBP1), RNA binding protein immunoprecipitation (RIP), RNA pulldown, and mRNA stability assays were conducted. Results. CBR3-AS1 was markedly upregulated in GC cells, and its downregulation suppressed cell proliferation, induced cell cycle arrest, but promoted cell apoptosis in GC. SETD4 was determined as the downstream mRNA of CBR3-AS1 and positively regulated by CBR3-AS1 in GC cells. Furthermore, CBR3-AS1 could interact with its RNA binding protein (RBP) PTBP1, thereby stabilizing SETD4 mRNA. Rescue assays verified that CBR3-AS1 facilitates GC cell malignant proliferation via SETD4. Conclusion. CBR3-AS1 accelerates the malignant proliferation of GC cells via stabilizing SETD4.
Methanol Aromatization over Zn and Ce Modified Hierarchical ZSM-5 Catalysts: Effect of Ce as a Promoter
Authors: Wei Zhenhao , Ji Yufan , Huang Yiping , Huang Jingjing , Huang Yunguo , Yue Changhai , Li Junzhou , Tang Mingwei , Liu Yunfang , Liu Hanfei , Zhu Hao , Zhu Kai , Yang Fan , Zhu Xuedong
Published: May 2022

Zinc (Zn) and cerium (Ce) modified hierarchical ZSM-5 (HZ) catalysts were prepared by incipient wetness impregnation, and their catalytic performances in methanol to aromatics reaction were evaluated in a fixed-bed reactor operating at 400°C under 0.1 MPa and WHSV of 1.0 h−1. The structure, acidity, and state of Zn species of the Zn/Ce modified HZ catalysts were investigated via several characterization techniques, including XRD, NH3-TPD, H2-TPR, nitrogen adsorption, and XPS. The results showed that the aromatization activity of 2 wt% Zn-modified HZ (2% Zn/HZ) could be significantly enhanced by loading 0.6 wt% Ce, which was mainly attributed to the increase in surface ZnOH+ species. Moreover, it was found that Ce inhibited pore blockage caused by Zn. Consequently, compared to 2% Zn/HZ, 2% Zn-0.6% Ce/HZ exhibited higher aromatic selectivity and longer catalyst lifetime.