bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal Load Balancing with Locality Constraints
Authors: Weng Wentao , Zhou Xingyu , Srikant R.
Published: June 2022

Applications in cloud platforms motivate the study of efficient load balancing under job-server constraints and server heterogeneity. In this paper, we study load balancing on a bipartite graph where left nodes correspond to job types and right nodes correspond to servers, with each edge indicating that a job type can be served by a server. Thus edges represent locality constraints, i.e., an arbitrary job can only be served at servers which contain certain data and/or machine learning (ML) models. Servers in this system can have heterogeneous service rates. In this setting, we investigate the performance of two policies named Join-the-Fastest-of-the-Shortest-Queue (JFSQ) and Join-the-Fastest-of-the-Idle-Queue (JFIQ), which are simple variants of Join-the-Shortest-Queue and Join-the-Idle-Queue, where ties are broken in favor of the fastest servers. Under a "well-connected'' graph condition, we show that JFSQ and JFIQ are asymptotically optimal in the mean response time when the number of servers goes to infinity. In addition to asymptotic optimality, we also obtain upper bounds on the mean response time for finite-size systems. We further show that the well-connectedness condition can be satisfied by a random bipartite graph construction with relatively sparse connectivity.
Real-time Approximate Routing for Smart Transit Systems
Authors: Périvier Noémie , Hssaine Chamsi , Samaranayake Samitha , Banerjee Siddhartha
Published: June 2022

The advent of ride-hailing platforms such as Lyft and Uber has revolutionized urban mobility in the past decade. Given their increasingly important role in today's society, recent years have seen growing interest in integrating these services with mass transit options, in order to leverage the on-demand and flexible nature of the former, with the sustainability and cost-effectiveness of the latter. Our work explores a set of operational questions that are critical to the success of any such integrated marketplace: Given a set of trip requests, and the ability to utilize ride-hailing services, which mass-transit routes should the transit agency operate? How frequently should it operate each route? And how can ride-hailing trips be used to both help connect passengers to these routes, and also cover trips which are not efficiently served by mass transit?

We study these under a model in which a Mobility-on-Demand provider (the platform ) has control of a vehicle fleet comprising both single-occupancy and high-capacity vehicles (e.g., cars and buses, respectively). The platform is faced with a number of trip requests to fill during a short time window, and can service these trip requests via different trip options : it can dispatch a car to transport the passenger from source to destination; it can use a car for the first and last legs of the trip, and have the passenger travel by bus in between; or it can use more complicated trips comprising of multiple car and bus legs. Given a set of rewards for matching passengers to trip options, and costs for operating each line (i.e., a bus route and associated frequency), the goal of the platform is to determine the optimal set of lines to operate (given a fixed budget for opening lines), as well as the assignment of passengers to trip options utilizing these lines, in order to maximize the total reward. We refer to this as the Real-Time Line Planning Problem (RLpp).

We first demonstrate the computational limits of RLpp by showing that no constant-factor approximation is possible if we relax either one of two assumptions: (i) access to a pre-specified set of feasible lines, and (ii) no bus-to-bus transfers. These assumptions are practically motivated and common in the literature, but our work is the first to formally demonstrate their necessity.
Nitrogen and Phosphorus-codoped Carbon Nanotube/Fe2P Nanoparticle Hybrids Toward Efficient Oxygen Reduction and Zinc-air Batteries
Authors: Wang Ruixiang , Yuan Yuanliang , Zhong Xiaocong , Zhu Yirui , Liu Jiaming , Xie Yongmin , Zhong Shuiping , Xu Zhifeng
Published: June 2022

Incorporating metal compound nanoparticles in carbonaceous matrix is a valid strategy to fabricate highly efficient oxygen reduction electrocatalysts. Herein, N, P-codoped carbon nanotubes embedded with Fe2P nanoparticles (Fe2P/NPCt) were synthesized in this work. Results show carbon nanotubes have a large specific surface area (987 m2 g−1) with an inner diameter of ∼60 nm. About 5.90 wt% nitrogen (35.18% pyridinic N) and 2.56 wt% phosphorus (mainly in the form of P–C and P–Fe) was doped in Fe2P/NPCt. HRTEM and XRD results confirmed the well dispersed Fe2P nanoparticles in 5 ∼10 nm on carbon nanotubes. The electrochemical performance of Fe2P/NPCt was evaluated in 0.10 M KOH using cyclic voltammetry, linear scanning voltammetry, and chronoamperometry. Fe2P/NPCt exhibits high electrocatalytic activity towards oxygen reduction with an onset potential of 1.029 V (vs RHE) and a limited current density of 6.79 mA cm−2, surpassing those of 20% Pt/C (0.950 V and 5.20 mA cm−2). Furthermore, Fe2P/NPCt presents outstanding durability and good methanol tolerance during long-term ORR. When assembled in a primary zinc-air battery (ZAB), the maximum power density and specific capacity of ZAB reach 175.48 mW cm−2 and 744.1 mAh g−1, respectively, outperforming ZAB equipped with 20% Pt/C.
Oxide-Ion Diffusivity in Fluorite and Perovskite Oxides for Inert Anode in Molten Salts and their Characterization
Authors: Tokushige Manabu
Published: June 2022

This study characterizes the oxide-ion diffusivities of fluorite and perovskite oxides for an inert anode in molten salts below intermediate temperatures (∼800 K) and investigates the morphologies of nanoparticles used for nanostructure-fabricating the inert anode to optimize the oxide-ion diffusivity using phonon vibration. The isotropic phonon vibration of each material was estimated using high-temperature X-ray diffraction measurements. Both fluorites and perovskites exhibited a tendency for high oxide-ion diffusivity, as confirmed at a high-vibrational, oxide-ion frequency. Crystal anisotropy measurements of phonon vibration indicated that the oxide ions diffuse isotropically and three-dimensionally in each crystallographic face of fluorites while they diffuse preferentially along the (a, b) plane in perovskites. These results suggest that the oxide-ion diffusivity was improved using spherical fluorite nanoparticles and curtailed using layered perovskite particles.
The Impact of VR-CALM Intervention Based on VR on Psychological Distress and Symptom Management in Breast Cancer Survivors
Authors: Zhang Xiuqing , Yao Senbang , Wang Menglian , Yin Xiangxiang , Bi Ziran , Jing Yanyan , Cheng Huaidong
Published: June 2022

Objective. To evaluate the effectiveness and feasibility of Managing Cancer and Living Meaningfully based on VR (VR-CALM), which is used to manage expected symptoms of cancer itself, relieve psychological distress, and improve quality of life (QOL) in the Chinese breast cancer survivors (BCs). Methods. Ninety-eight patients with breast cancer were recruited in this study. These patients were randomly assigned to the VR-CALM group or the care as usual (CAU) group. All patients were evaluated by the Functional Assessment of Cancer Therapy-Breast cancer patient (FACT-B), Distress Thermometer (DT), Concerns About Recurrence Scale (CARS), Piper Fatigue Scale (PFS), Pittsburgh Sleep Quality Index (PSQI), The Self-Rating Anxiety Scale (SAS), and The Self-Rating Depression Scale (SDS) before and after VR-CALM or CAU application to BCs. We compared the differences in all these scores between the VR-CALM group and the control group. Results. Patients in the VR-CALM group showed a significant decrease in levels of distress, anxiety, depression, sleep disorders, and fatigue (t = −6.829, t = −5.819, t = −2.094, t = −3.031, t = −10.082,

P
≤
0.001

, 0.001, 0.05, 0.01, 0.001, respectively) and had higher level of quality of life (t = 8.216,

P
≤
0.001

) compared with the CAU group after intervention. And postintervention patients in VR-CALM group compared with preintervention showed lower level of distress and remarkable improvement of QOL (t = 11.521, t = −10.379,

P
≤
0.001

, 0.001). The preintervention questionnaire revealed no significant between-group differences regarding distress, anxiety, depression, sleep disorders, fatigue, and quality of life. Conclusion. VR-CALM is a psychotherapy tailored to the needs of patients with breast cancer. This research innovatively used VR-based CALM intervention to improve psychological and chronic symptoms in BCs. The results of the present study indicate that VR-CALM has salutary effects on the improvement of QOL and relieves psychological distress, anxiety, depression, sleep disorders, and fatigue in BCs.
Cultural Differences of Basketball between China and the United States and Its Concept in Basketball Teaching under the Background of Wireless Network Intelligence Technology
Authors: Wu Ke , Wang Jiwei , Yang Weisong , Ruan Xuebing
Published: June 2022

The increasingly extensive socialization trend has led to the comprehensive innovation of sports. The development of Chinese basketball should be based on the successful experience of the development of professional basketball in the United States. The development of China’s basketball has a solid cultural and mass foundation, but we should not be proud and arrogant. It is necessary to make full use of the critical and inherited attitude to learn and absorb the excellent and advanced knowledge of American basketball culture. At present, there are still some problems that need to be further explored. The purpose of this paper is to research and discuss the cultural differences of basketball between China and the United States and their concepts in basketball teaching based on the background of wireless network intelligence technology. This paper firstly analyzes and introduces the difference between the wireless network and wireless sensor network. The main design goal of traditional wireless networks is to improve service quality and efficiently use bandwidth and then consider energy saving, while the main design goal of sensor networks is to use energy efficiently, which is one of the most important differences between sensor networks and traditional networks, to analyze the differences between Chinese and American basketball cultures, to understand the impact of Chinese and American basketball cultural differences on basketball teaching concepts, and to compare and study the differences between Chinese and American basketball culture and their teaching philosophy in basketball. Using the method of this article, through the analysis of experimental data, we understand the impact of Chinese and American basketball cultural differences on basketball teaching concepts and find that Chinese and American basketball cultural differences play an important role in basketball teaching concepts, with a satisfaction rate of 66%. Through theory and experiments, based on the data, it is analyzed that the impact of the differences between Chinese and American basketball cultures on basketball teaching concepts reaches 50%. The research results show that the differences between Chinese and American basketball cultures play an important role in basketball teaching concepts and can be used to promote the development of basketball culture and skills.
Clinical Value of Prognostic Nutritional Index and Neutrophil-to-Lymphocyte Ratio in Prediction of the Development of Sepsis-Induced Kidney Injury
Authors: Xie Tonghui , Xin Qi , Chen Rui , Zhang Xing , Zhang Fengping , Ren Hong , Liu Chang , Zhang Jingyao
Published: June 2022

Background. Sepsis-related acute kidney injury (S-AKI) is a frequent complication of hospitalized patients and is linked to increased morbidity and mortality. Early prediction and detection remain conducive to optimizing treatment strategies and limiting further insults. This study was aimed at evaluating the potential predictive value of the combined prognostic nutrition index (PNI) and neutrophil-to-lymphocyte ratio (NLR) to predict the risk of AKI in septic patients. Methods. In this retrospective study, 1238 adult patients with sepsis who were admitted to the First Affiliated Hospital of Xi’an Jiaotong University from January 2015 to June 2021 were enrolled. Patients were divided into two groups: the non-AKI group (

n
=
731

) and the S-AKI group (

n
=
507

). Univariate and multivariate logistic regression analyses were performed to screen the independent predictive factors of S-AKI. A receiver operating characteristic (ROC) curve was used to evaluate the predictive value of PNI and NLR. Results. Multivariate logistic regression analysis indicated that age, chronic liver disease, cardiovascular disease, respiratory rate (RR), white blood cells (WBC), blood urea nitrogen (BUN), creatinine (CRE), international normalized ratio (INR), neutrophil-to-lymphocyte ratio (NLR), and prognostic nutrition index (PNI) were independent prognostic factors of S-AKI. In the three models, the adjusted OR of PNI for S-AKI was 0.802 (0.776-0.829), 0.801 (0.775-0.829), and 0.717 (0.666-0.772), while that of NLR was 1.094 (1.078-1.111), 1.097 (1.080-1.114), and 1.044 (1.016-1.072), respectively. In addition, the area under the ROC curve of the PNI plus NLR group was significantly greater than that of the CRE plus BUN group (0.801, 95% CI: 0.775-0.827 vs. 0.750, 95% CI: 0.722-0.778, respectively;

P
<
0.001

). Conclusions. PNI and NLR have been identified as readily available and independent predictors in septic patients with S-AKI. PNI, in combination with NLR, is of vital significance for early warning and efficient intervention of S-AKI and is superior to combined BUN and CRE.
Construction and Evaluation of Construction Safety Management System Based on BIM and Internet of Things
Authors: Yu Haiyang , Liu Feng , Wang Yujin
Published: June 2022

With the continuous development and maturity of technology, the Internet of Things has gradually been applied to various fields of work and life, for example, the use of the Internet of Things and road traffic, the use of the Internet of Things smart city for vehicle identification and GPS positioning, the use of the Internet of Things smart medical smart heart pulse monitoring device, and so on. And, the construction industry bears important responsibilities for the development of national infrastructure and people’s livelihood. This article aims to study the application of BIM and Internet of Things technology in the safety management of construction sites, to drive technological development with industry needs, help expand the application fields of the Internet of Things, and promote the improvement of the national construction safety management system. This article uses BIM and Internet of Things technology to build a construction safety management system, focusing on the protection of people, through technical means, such as personnel activity control, hazard warning, major hazard monitoring, and multiple institutional measures, such as education, training, supervision, and protection, that collaborate to complete the protection and risk avoidance of operators in the process of building construction. The evaluation index of the safety management system is proposed through the analytic hierarchy process, and the dimension of the safety management system to prevent accidents is evaluated by the analytic hierarchy process. Taking the actual project as an example, the application effect of the remote monitoring system is qualitatively analyzed. On the basis of the analysis, from the three levels of policy, enterprise, and practitioners, several suggested measures that will help new technology to be applied to construction safety management are put forward. In the experiment part, the construction of the safety management system is first explained, then the appropriate system evaluation index is selected, and then the comprehensive ranking is conducted according to the relative importance weight of the highest-level elements in the same level, and the MATLAB software is used to test the consistency. The experimental results show that the construction safety management system constructed in this paper has been well perfected. The calculated weights of people and dangerous areas are as high as 0.578, so that people and dangerous areas can be controlled effectively. Fall accidents from high places can be prevented, full-time monitoring of foundation pit projects can also avoid fall and collapse accidents from high places, improve the comprehensiveness and advancement of construction safety management, and improve the level of construction safety management.
Factors Influencing the Pore Structure and Gas-Bearing Characteristics of Shales: Insights from the Longmaxi Formation, Southern Sichuan Basin and Northern Yunnan-Guizhou Depression, China
Authors: Dong Li , Han Changcheng , Santosh M. , Qiu Yongkai , Liu Geng , Ma Jinghui , He Hao , Hu Chenlin
Published: June 2022

China hosts rich shale gas resources. The Longmaxi Formation (LF) in the Sichuan Basin is one of the important regions for shale gas exploration and extraction. Here, we investigate the pore structure and factors influencing the gas-bearing characteristics of the pores in the shale reservoirs in the LF. We employed scanning electron microscopy (SEM), X-ray diffraction analysis (XRD), gas content testing, gas saturation testing based on nuclear magnetic resonance (NMR), overburden porosity and permeability analysis, distribution of pore size, specific surface area (SSA) analysis, and geochemical analysis. Our results show that the organic matter of the shale in the LF in the study area is highly favorable to shale gas conditions; the brittleness of the regional shale generally increases with an increase in depth. The pores in the LF mainly include organic matter-hosted pores, intergranular pores, intragranular pores, and microfissures, with mesopores dominating. Meanwhile, the gas content also increases with an increase in depth. The pore structure in the study area is affected by organic matter content and mineral components, with the development of organic matter-hosted pores. The porosity and the SSA are positively correlated with the total organic carbon (TOC), whereas clay minerals have an adverse effect on the SSA of pores in the study area. Higher TOC and vitrinite reflectance (Ro) indicate higher gas content. It can be inferred that as the content of brittle minerals increases, particles break to form storage spaces as the depth increases, causing the gas content to increase. Higher SSA and total pore volume indicate higher volume of adsorbed gas. The bound water in rocks tends to reduce the content of desorbed gas. Our results suggest high potential for shale gas extraction in this region.
Integrated Design of College English Teaching Based on Internet and Information Technology
Authors: Zhang Hongtao , Zhu Cheng , He Na
Published: June 2022

The rapid development of information technology has brought society into the Internet + era. To break the current teaching dilemma, English teaching in colleges and universities needs to keep pace with the times. Based on the characteristics of the Internet + era, we need to strengthen the awareness of the Internet + era and reconstruct the resource advantages and technological advantages of the Internet + era. The English teaching mode in colleges and universities rejuvenates college English teaching, establishes a mode suitable for English teaching in the new era, and comprehensively improves the effectiveness of college English teaching. This research optimizes the teaching design under the guidance of the Internet and information technology and the concept of curriculum integration and applies it to the teaching practice of a college English listening and speaking course. Design-based research is used as the main research method. Under the guidance of the concept of information technology and curriculum integration, first of all, we measure and evaluate the TPACK level informatization teaching ability of English teachers in colleges and universities. Secondly, we design and optimize the whole process of teaching, especially the design and adjustment of teaching procedures. Finally, the research conclusions are obtained through statistical analysis of the data. It is found that the teaching optimization design under the guidance of the concept of information technology and curriculum integration can improve the English listening and speaking ability of college students to a certain extent.
Potential Factors Predicting Histopathologically Upgrade Discrepancies between Endoscopic Forceps Biopsy of the Colorectal Low‐Grade Intraepithelial Neoplasia and Endoscopic Resection Specimens
Authors: Hong Junbo , Wang Yining , Deng Jiangshan , Qi Miao , Zuo Wei , Hao Yuanzheng , Wang Anjiang , Tu Yi , Xu Shan , Zhou Xiaodong , Zhou Xiaojiang , Li Guohua , Zhu Liang , Shu Xu , Zhu Yin , Lv Nonghua , Chen Youxiang
Published: June 2022

Background. It was gradually accepted that endoscopic fragment biopsy (EFB) diagnosis cannot accurately guarantee the absence of higher‐grade neoplasms within the lesion of the digestive tract. There are no well‐established predictors for histopathologically upgrade discrepancies between EFB diagnosing colorectal low‐grade intraepithelial neoplasia (LGIN) and endoscopic resection (ER) specimens. Methods. A total of 918 colorectal LGINs was histopathologically diagnosed by EFB, including 162 cases with upgrade discrepancy and 756 concordant cases. We compared clinicopathological data of EFB and ER specimens between these two groups. Multivariate analysis was performed to identify predictors for this upgrade histopathology. Results. The predominant upgrade discrepancy of LGINs diagnosed by EFB was upgrades to high‐grade dysplasia (114/918, 12.4%), followed by upgrades to intramucosal carcinoma (33/918, 3.6%), submucosal adenocarcinoma (10/918, 1.1%), and advanced adenocarcinoma (5/918, 0.5%). NSAID history (OR 4.83; 95% CI, 2.27‐10.27; p < 0.001), insufficient EFB number (OR 2.99; 95% CI, 1.91‐4.68; p < 0.001), maximum diameter ≥ 1.0 cm (OR 6.18; 95% CI, 1.32‐28.99; p = 0.021), lobulated shape (OR 2.68; 95% CI, 1.65‐4.36; p < 0.001), erythema (OR 2.42; 95% CI, 1.50‐3.91; p < 0.001), erosion (OR 7.12; 95% CI, 3.91‐12.94; p < 0.001), surface unevenness (OR 2.31; 95% CI, 1.33‐4.01; p = 0.003), and distal location of the target adenoma (OR 3.29; 95% CI, 1.68‐6.41; p < 0.001) were associated with the histologically upgrade discrepancies. Conclusion. NSAID history, insufficient EFB number, adenoma size and location, and abnormal macroscopic patterns are potential predictors for upgrade histopathology of LGINs diagnosed by EFBs. The standardization of EFB number and advanced imaging techniques could minimize the risk of neglecting the potential of this upgrade histopathology.
Alpha-Glycerylphosphorylcholine and D-Panthenol Eye Drops in Patients Undergoing Cataract Surgery
Authors: Martone Gianluca , Balestrazzi Alessandra , Ciprandi Giorgio , Balestrazzi Angelo
Published: June 2022

Cataract surgery is widespread. The surgical procedure is associated with damage to the epithelial barrier and interruption of the corneal innervation. In addition, pathological events sustain signs and symptoms that may persist for a long time. Recently, a fixed combination of alpha-glycerylphosphorylcholine and D-Panthenol (Oftassiale) has been available as eye drops. The present study investigated the effects of an Oftassiale therapy in 20 patients undergoing cataract surgery. A comparison group included 20 patients treated with topical hyaluronic acid. Standard prophylactic and anti-inflammatory treatment was prescribed to all patients. Clinical signs and symptoms were assessed over time. In vivo confocal microscopy (IVCM) was performed accordingly. Oftassiale treatment significantly reduced clinical features and improved IVCM outcomes. In addition, therapy was well-tolerated, and no clinically significant adverse events occurred. In conclusion, this study confirmed that IVCM helps assess the tunnel after cataract surgery due to its ability to provide microscopic details in vivo. Topical therapy with alpha-glycerylphosphorylcholine and D-Panthenol eye drops promoted and stabilized the reepithelialization process. This fixed combination also accelerated and modulated the repair of the corneal innervation. Moreover, this treatment was well-tolerated and safe.
Meckel’s Diverticulum: The “Great Mimic” but Often a Forgotten Cause of Acute Abdomen during Pregnancy
Authors: Féria Beatriz , Trindade Madalena , Palma Maria João , Figueiredo Joana , Passos Filipa
Published: June 2022

Meckel’s diverticulitis is an extremely rare event during pregnancy. Its diagnosis is often difficult and can result in higher maternal and fetal morbimortality. We describe a case of a 40-year-old healthy pregnant woman at 33 weeks of gestation who presented with abdominal pain and tender abdomen, leukocytosis, and elevated PCR. The imagiological exams were not conclusive. After an urgent caesarean section due to worsening of clinical status and nonreassuring fetal well-being, a laparotomy revealed a distended, necrotic, and perforated Meckel’s diverticulum.
Optimization of English Online Teaching Scheme Based on Cloud Platform Technology
Authors: Xu Huina
Published: June 2022

Due to the increasing progress of IT and cloud computing technology, traditional teaching methods and instructional resources can no longer meet the needs of modern education. How to use network technology to optimize classroom teaching and improve the quality and effect of online education is a topic worthy of in-depth discussion. Based on the current situation of English online education, this paper analyzes the theoretical basis and application status of cloud computing and puts forward the optimization strategy of English online education under the network environment, combining with the theories of constructivism and collaborative learning and building an instructional resource sharing management system based on cloud computing. The system can provide a great quantity of high-quality instructional resources for English online education and further promote the optimization of English online education.
Design of an Interleaved High Step-Up DC-DC Converter with Multiple Magnetic Devices for Renewable Energy Systems Applications
Authors: Mohammadi Jouzdani Marzieh , Shaneh Mahdi , Nouri Tohid
Published: June 2022

An interleaved high step-up converter topology based on the coupled inductor (CI) and built-in transformer (BIT) is proposed in this study to provide high step-up voltage gain and high efficiency with a low number of power electronic components for renewable energy applications. The voltage gain is increased by both of the turns’ ratio of CI and BIT, so there is no need to extend duty ratio to obtain high voltage gain. The proposed topology is much more flexible than those with only either CI or BIT. Moreover, the voltage stress across semiconductor devices can be relatively decreased by adjusting the turns’ ratio of the CI and BIT. In addition, the input current ripple can be reduced when the interleaved structure is applied at the input of this converter. Furthermore, turned-OFF and turned-ON zero current switching (ZCS) conditions for the diodes and power MOSFETs are achieved, respectively, thanks to the leakage inductances of the magnetic devices. Hence, due to the control of the falling current rate of the diodes by the leakage inductances, reverse recovery problem is alleviated. Moreover, the energy of the leakage inductances is recycled by the clamp capacitors avoiding high spikes across MOSFETs. As a result, according to the abovementioned advantages of the proposed converter, MOSFETs with low ON-state resistance and diodes with low forward voltage drop can be used to decrease the conduction losses. A 600 W laboratory prototype with 27–400 V voltage conversion at switching frequency 50 kHz is built to verify the performance of the proposed converter. Experimental results confirm the theoretical analysis. The efficiency reaches to 94.6% at full load which is close to the calculated of 95.8%.
The Emerging Roles of circSMARCA5 in Cancer
Authors: Qin Haoyu , Wan Renhua
Published: June 2022

Circular RNAs have a unique covalent closed-loop structure, which is mainly formed by the reverse splicing of exons from a precursor mRNA. With the development of key technologies such as high-throughput sequencing and the advancement of bioinformatics in recent years, our understanding of circular RNAs has become increasingly more detailed, and their abnormal expression in a variety of cancers has attracted increasing attention. Studies have shown that circSNARCA5 not only plays a crucial role in the occurrence and development of cancer but may also serve as a reliable indicator for tumor screening or a good marker for evaluating cancer prognosis. Nevertheless, there are no reviews focusing on the relationship between circSMARCA5 and cancer. Therefore, we will first explain the main biological characteristics of circSMARCA5, such as biogenesis and biological effects. Then, the focus will be on its role and significance in cancer. Finally, we will summarize the known information on circSMARCA5 in cancer and discuss future research prospects.
Study of Mechanical Properties on Ferric Oxide Microparticles Reinforced with Polyethylene
Authors: Tamilarasan U. , Dhanasekar S. , Raja Karthikeyan K. , Ramesh Babu T. S. , Gopinathan R. , Pratheep V. G. , Rajalakshmy P. , Subbiah Ram , Praveen Kumar S.
Published: June 2022

Polyethylene and ferric oxide microparticles were mixed in this work to generate a new polymer composite. Weight fraction and microparticle size were studied experimentally to discover how they influenced the tensile strength and Young’s modulus. A response surface methodology was employed in the design of the research. The increased weight fraction of reinforcement results in the increase in Young’s modulus and lowers the elongation percentage. As the microparticles expanded in size, so did their effect on the composite’s mechanical characteristics. The tensile strength of specimens containing 20% ferric oxide and particle size of more than 91 µm was dropped by 18 percent due to the agglomeration of microparticles. The addition of 24% Fe2O3 microparticles smaller than 33 μm raised Young’s modulus and tensile strength by 340 percent and 65 percent, respectively.
Application of Network Information Technology in Physical Education and Training System under the Background of Big Data
Authors: Chen Ye , Zhou Wen
Published: June 2022

During the last two decades, rapid development in the network technology has been observed, particularly hardware, and the development of software technology has accelerated, resulting in the launch of a variety of novel products with a wide range of applications. Traditional sports training systems, on the other hand, have a single function and a complex operation that cannot be fully implemented in colleges and universities, causing China's sports training to stagnate for a long time. The goal of physical education and training is to teach a specific action to attain its maximum potential in a variety of ways. As a result, we should use the system to collect scientifically sound and trustworthy data to aid relevant staff in completing their training tasks. Therefore, in the context of big data, network information technology has become the main way to improve the physical education system. By applying cloud computing technology, machine vision technology, and 64-bit machine technology to the physical education training system, extract the video data of the physical education system, design the system video teaching process, and complete the construction of three-dimensional human model, so as to analyze the training situation of the trainers. In this paper, 30 basketball majors in a university are selected as the professional group and 30 computer majors as the control group. The average reaction time, scores, and expert scores of the two groups are analyzed. The results show that the test of the professional group is significantly higher than that of the amateur group. At the same time, the feedback results of students using physical education and training system and normal physical education teaching and training are compared and analyzed. One week later, the students trained by the physical education system have improved their thinking ability, movement accuracy, and judgment ability, indicating that the application of the physical education training system to the actual effect is ideal.
Research on Agricultural Economic Early Warning Based on Genetic Algorithm and SVM
Authors: Bian Xueyong , Lv Xuzi , Tian Jie
Published: June 2022

Agriculture is unique in that the industry is subject to a certain level of uncertainty due to seasonal and other factors, and its risk level is significantly higher than that of other industries. Therefore, it is necessary to establish an appropriate financial early warning model to predict, analyze, and control its financial risks. The article uses a genetic algorithm and support vector machine-based economic forecasting model for agribusinesses to adapt its own pollutant weights in a practical application environment to improve the forecasting accuracy. This model first uses a genetic algorithm to train a feature weight vector of current data so that the weights are adapted to the current prediction problem and then uses this feature weight vector to apply to SVM model training. It is found that 62.79% of the listed agricultural companies are in warning status, and their development is not optimistic. The article provides new ideas for the subsequent research on financial warning methods and also expands the boundaries of theoretical research for the research system of financial warning problems and enriches the experience and evidence of practical research.
Construction of the Enterprise Human Resource Quality Evaluation System Based on the WICS Leadership Model
Authors: Zong Na
Published: June 2022

With the advancement of society and economy, the market competition among various businesses has become increasingly fierce. Nowadays, if businesses want to grow in the face of adversity, they must move forward boldly and make use of abundant human resources to fuel their growth. Human resource management is becoming increasingly important. As a result, this paper develops an enterprise human resource quality assessment system based on the WICS leadership model. The differences between the WICS model and the traditional management model are first compared in this paper. The requirements of the WICS model in human resource management are then described. Furthermore, this paper proposes a human resource evaluation algorithm that combines data-driven and WICS models to address the current human resource cost evaluation algorithm's low accuracy and poor effect. The simulation results show that the proposed algorithm can reflect changing human resource cost characteristics, improve human resource cost evaluation results, and obtain better results than other human resource cost evaluation models and has a wide range of applications.
[Retracted] Utilization of Eco‐Friendly Waste Eggshell Catalysts for Enhancing Liquid Product Yields through Pyrolysis of Forestry Residues
Authors: Kaliappan S. , Karthick M. , Patil Pravin P. , Madhu P. , Sekar S. , Mani Ravi , Kalavathi D. Francisca , Mohanraj S. , Jida Solomon Neway
Published: June 2022

In this study, catalytic and noncatalytic pyrolysis of Prosopis juliflora biomass was carried out in a fluidized bed reactor. This study highlights the potential use of forestry residues with waste eggshells under a nitrogen environment. The experiments were conducted to increase the yield of bio‐oil by changing the parameters such as pyrolysis temperature, particle size, and catalyst ratio. Under noncatalytic pyrolysis, a maximum bio‐oil yield of 40.9 wt% was obtained when the feedstock was pyrolysed at 500°C. During catalytic pyrolysis, the yield of bio‐oil was increased by up to 16.95% compared to the noncatalytic process due to the influence of Ca‐rich wastes on devolatilization behavior. In particular, the existence of alkali and alkaline‐earth metals present in eggshells might have positive effects on the decomposition of biomass material. The bio‐oil obtained through catalytic pyrolysis under maximum yield conditions was analyzed for its physical and chemical characterization by Fourier transform infrared (FT‐IR) spectroscopy and gas chromatography mass spectroscopy (GC‐MS).
The Application of a Computer Monitoring System Using IoT Technology
Authors: Zhao Zhu , Hu Qian
Published: June 2022

Through the information exchange of the Internet of Things, resources in multiple fields can be integrated to provide users with more comprehensive, diverse, and high-quality services. The computer monitoring system can effectively improve the intelligence and networking of the office and is widely used in many industries. The application of Internet of Things technology can effectively improve the intelligence and networking of computer monitoring systems. The Internet of Things technology can realize the interaction between things and people, help the computer monitoring system to obtain the required information, and truly realize comprehensive monitoring. Based on this, this paper first introduces the basic technology of the Internet of Things technology and analyzes the main points of the computer monitoring technology based on the Internet of Things at this stage and then takes a computer monitoring system as the research object, and further analyzes the computer monitoring system based on the Internet of Things technology to help relevant personnel better apply IoT technology to computer monitoring systems.
Evolution Mechanism of Water-Conducting Fissures in Overlying Rock Strata with Karst Caves under the Influence of Coal Mining
Authors: Wang Wenqiang , Li Zhenhua , Xu Jie , Wang Yue , Fan Xuan , Li Songtao
Published: June 2022

There are a large number of karst caves in the limestone rock strata in the karst mining area, and the karst water in rock strata seriously restricts the safe and efficient recovery of coal resources. In order to reveal the influence law of karst caves of rock strata on the evolution of water-conducting fissures in coal seam mining, the numerical simulation method in UDEC software is employed to analyze the development characteristics of water-conducting fissures in coal seam mining under the conditions of karst caves of different sizes. By comparing and analyzing the development characteristics of overlying fissures in rock strata and the displacement fields in coal seam mining under the conditions of different karst caves, the evolution law of water-conducting fissures in coal seam mining is obtained. The research results show that the size of karst cave directly affects the maximum height of the water-conducting fissures in the overlying rock strata in coal seam mining; when the thickness of the coal seam is 3.0 m, the larger the radius of karst cave is, the higher the development height of water-conducting fissures in the overlying rock strata is, and the greater the overall sinking displacement in the Yulongshan limestone is. When the radius of karst cave is between 10 m and 15 m, a through-type water-conducting channel is formed between the working face and the karst cave after the coal seam is mined, and the numerical simulation results are consistent with the field monitoring results. The research results provide an important reference for the prevention and treatment for water inrush disaster in karst mining areas.
A Study on Scalar Multiplication Parallel Processing for X25519 Decryption of 5G Core Network SIDF Function for mMTC IoT Environment
Authors: Jang Changuk , Han Juhong , Sai Akshita Maradapu Vera Venkata , Li Yingshu , Yi Okyeon
Published: June 2022

When 5G telecommunication becomes a standardized and widely used communication medium, it must be implemented in coherence with certain 5G network standards and requirements. One such requirement is a Subscription Concealed Identifier called SUCI. SUCI prevents the exposure of international mobile subscriber identity (IMSI), which was a vulnerability in previous generation mobile telecommunication networks. Unlike IMSI, SUCI is encrypted and transmitted using a symmetric key cryptographic algorithm, to prevent the aforementioned vulnerabilities. However, for the first terminal to be encrypted, it is necessary to exchange a key with the home network, and this key exchange for SUCI encryption is performed through the Elliptic Curve Integrated Encryption Scheme (ECIES) key exchange algorithm, which is a public-key encryption scheme. However, ECIES uses more computing resources compared to a symmetric key cryptographic algorithm. Additionally, for 5G Subscriber Identity Deconcealing Function (SIDF) to satisfy the massive machine-type communication (mMTC) requirements of 5G, it is necessary to decrypt at least a million SUCIs within a short time. This puts a great burden on the 5G home network to provide the mMTC service for IoT. Therefore, in this paper, we propose a method of constructing 5G SIDF in an mMTC IoT environment. A key method of the proposed 5G SIDF configuration is the use of GPUs. This proposal was aimed at reducing the load in the mMTC environment by performing parallel processing of all cryptographic operations performed in the SIDF using a GPU. In particular, we focused on parallelization of public-key encryption algorithms. In addition, we also compared the method proposed in this paper through a survey of various 5G security products.
An Effective New Iterative Method to Solve Conformable Cauchy Reaction‐Diffusion Equation via the Shehu Transform
Authors: Rezapour Shahram , Liaqat Muhammad Imran , Etemad Sina
Published: June 2022

For the first time, we establish a new procedure by using the conformable Shehu transform (CST) and an iteration method for solving fractional‐order Cauchy reaction‐diffusion equations (CRDEs) in the sense of conformable derivative (CD). We call this recommended method the conformable Shehu transform iterative method (CSTIM). To evaluate the efficacy and consistency of CSTIM for conformable partial differential equations (PDEs), the absolute errors of four CRDEs are reviewed graphically and numerically. Furthermore, graphical significances are correspondingly predicted for several values of fractional‐order derivatives. The results and examples establish that our new method is unpretentious, accurate, valid, and capable. CSTIM does not necessarily use He’s polynomials and Adomian polynomials when solving nonlinear problems, so it has a strong advantage over the homotopy analysis and Adomian decomposition methods. The convergence and absolute error analysis of the series solutions is also offered.
A New Method of Seismic Source Parameter Estimation of a Locked-Segment Cracking Event
Authors: Yang Bai-Cun , Bai Jian-Xin , Duan Yong-Ting , Cheng Cheng
Published: June 2022

Locked segments are widely present in the slip surface of large rock slopes and seismogenic faults of rock underground engineering. Each cracking occasion of the locked segment results in a seismic event. Accurate determination of the seismic source parameters of a locked-segment cracking event is crucial for the reliable evaluation of rock-mass stability associated with slopes and underground openings. The theoretical framework for calculating seismic source parameters in previous studies is mostly based on the stick-slip model, which is not applicable to describing the locked segment’s damage process, and research on seismic source parameter estimation of a locked-segment cracking event is insufficient. Hence, based on the principle of energy conversion and distribution during the locked segment’s damage process, we proposed an equation for the radiated seismic energy of a locked-segment cracking event. Using this equation, we established a mechanical relationship between the earthquake magnitude and the stress drop or shear strain increment (or maximum coseismic displacement) of a locked-segment cracking event. Typical case studies of rock slope and rock underground engineering showed that the proposed calculation method of seismic source parameters was reliable. In addition, this paper discusses the controversy surrounding the relationship between earthquake magnitude and stress drop. Relevant results lay a firm physical foundation to accurately calculate the seismic source parameters of a locked-segment cracking event and obtain detailed insights into the generation mechanism of the locked-segment cracking event.
Integration and Optimization of British and American Literature Information Resources in the Distributed Cloud Computing Environment
Authors: Chen Mei
Published: June 2022

One of the most effective approaches to improve resource usage efficiency and degree of resource collecting is to integrate resources. Many studies on the integration of information resources are also available. The search engines are the most well-known. At the same time, this article intends to optimize the integration of British and American literature information resources by employing distributed cloud computing, based on the needs of British and American literature. This research develops a model for the dispersed nature of cloud computing. It optimizes the method by fitting the mathematical model of transmission cost and latency. This article analyzes the weaknesses of the current British and American literature information resource integration and optimizes them for the integration of British and American literature resources. The Random algorithm has the longest delay, according to the results of this paper’s experiments (maximum user weighted distance). The algorithms NPA-PDP and BWF have longer delays than the algorithm Opt. The percentage decline varies between 0.17 percent and 1.11 percent for different algorithms. It demonstrates that the algorithm presented in this work can be used to integrate and maximize information resources from English and American literature.
Construction of Mathematics Teaching Environment Based on Big Data on the Wisdom Cloud Platform of Higher Vocational Education
Authors: Sun Xiaokang , Huang Xiangshu , Yu Hui , Liu Xirui
Published: June 2022

As a public basic course in the system of higher vocational colleges, mathematics has received more and more attention from education administrators. However, there are still problems in higher education that mathematics teaching resources are scatter and data are difficult to integrate. Big data (DT) and smart clouds are the burgeon of intelligent technology, which has provided support for teaching informatization and teaching data integration in colleges and universities. This article aims to solve the problems of mathematics teaching in higher vocational education, such as more content and less class hours, difficult, higher vocational education due to the expansion of enrollment, and the decline in mathematics teaching quality, and build a smart cloud platform based on big data mathematics instructing environment system and mathematics wisdom instructing. The reconstruction of the environment is the deep integration of information technology and mathematics instructing, which can promote the deep integration of information technology with teaching, management, and environment. The experiments in this article show that the application of the smart cloud platform to mathematics teaching can greatly increase students' enthusiasm for learning and improve the school's mathematics teaching level, and the improvement rate of students' performance can reach 99.89%. The research in this article is of great significance to the adjustment of mathematics teaching environment in higher professional education.