bluuebunny/crossref_metadata_2025 huggingface dataset:
Non-integrated defect relation and uniqueness theorem for meromorphic mappings on Kähler manifolds
Authors: Quang Si Duc , Ngoc Tran Duc
Published: February 2022

Let [Formula: see text] be a complete Kähler manifold, whose universal covering is biholomorphic to a ball [Formula: see text] in [Formula: see text] ([Formula: see text]). The first purpose of this paper is to establish non-integrated defect relations for linearly non-degenerate meromorphic mappings intersecting a family of hyperplanes in subgeneral position. Also, the defect relation for the mappings with only one hypersurface, which is the sum of some hyperplanes, is considered. Our second aim is to establish a uniqueness theorem for two meromorphic mappings sharing such family of hyperplanes. Our results generalize and improve the previous results in this area.
Coherent systems and BGN extensions on nodal reducible curves
Authors: Brivio Sonia , Favale Filippo F.
Published: February 2022

Let [Formula: see text] be a polarized nodal reducible curve. In this paper, we consider coherent systems of type [Formula: see text] on [Formula: see text] with [Formula: see text]. We prove that the moduli spaces of [Formula: see text]-stable coherent systems stabilize for large [Formula: see text] and we generalize several results known for the irreducible case when we choose a good polarization. Then, we study in detail the components of moduli spaces containing coherent systems arising from locally free sheaves.
Dynamics of test particles around magnetically charged regular black holes
Authors: Rayimbaev Javlon , Kurbonov Nuriddin , Abdujabbarov Ahmadjon , Han Wen-Biao
Published: February 2022

In this work, we have provided detailed studies of motion test neutral, photon, neutrino-like, magnetized, and magnetically charged particles around a magnetically charged regular black hole (BH) together with properties of the spacetime curvature and event horizon around the BH. In order to see differences of linear electrodynamic (LED) and nonlinear electrodynamic (NED) charge effects in these studies, we have compared all the obtained results with the results obtained in Reissner–Nordstöm (RN) BH. It has been shown that an increase of the magnetic charge causes a decrease in the curvature invariants and event horizon radius. The study of the impact parameter for photons and neutrino-like particles has shown the effect of the magnetic charge of the regular BH, stronger than the RN one. Harmonic oscillations of test particles around regular BHs are studied. As an astrophysical application of the study, we also have provided comparisons of the effects of rotating Kerr BH spin and magnetic charge of the BH on upper, [Formula: see text] and lower, [Formula: see text] frequencies of twin peak quasi-periodic oscillations (QPOs) and represented possible values of the upper and lower frequencies of the twin-peak QPOs around these BHs in various QPO models. Finally, it is shown that the effect of magnetic charge on the ISCO radius of magnetized particles becomes stronger in higher values of magnetized parameters of the magnetized particles, where the effects of RN BH and regular BH charges become distinguishable.
Matching-invariant running of quark masses in quantum chromodynamics
Authors: Chen H. M. , Liu L. M. , Wang J. T. , Waqas M. , Peng G. X.
Published: February 2022

The conventional quark mass is not continuous at thresholds. In this paper, we derive matching-invariant quark masses which are continuous everywhere. They are generally expanded as an obvious function of the logarithmic [Formula: see text] scaled energy. The expansion coefficients are related to the gamma and beta functions, with concretization to four-loop level. Due to the maximal elimination of their direct dependence on the coupling with large uncertainties, the new expressions for quark masses converge much fast and accurate.
Influence of Refined Wind Load Parameters and Wind-Loading Mode on Wind-Induced Responses of a Long Cross-Arm Angle-Steel Transmission Tower
Authors: Tu Zhibin , Yao Jianfeng , Xu Haiwei , Zhong Weijun , Lou Wenjuan
Published: February 2022

This study aims to investigate refined wind load parameters on main rods and the influence of wind-loading mode on wind-induced responses of the angle-steel transmission tower. The wind load parameters discussed in this study include drag coefficients, wind load distribution factors and skewed wind load factors. To achieve the aim, wind tunnel tests were conducted to explore aerodynamic loads for integrated frame, single frame, and main rod models of cross-arm and tower body. The wind load parameters of the different models were investigated. In addition, a series of wind-induced vibration simulation was applied to examine the wind-induced responses of an ultra-high voltage (UHV) transmission tower with a long cross-arm under concentrated and distributed wind loads. The simulated results under the two types of wind loads were compared. The results show that the longitudinal drag coefficients of the main rods are smaller than the values of the integrated frame, and equivalent on average to the values of the single frame. The experimental shielding factor of the cross-arm is larger than those in different standards due to the joint drag effects of leeward, upper, and lower faces of the cross-arm in the wind tunnel test. The experimented shielding factor of the tower body is in line with those referring to the Chinese and AS/NZS standards, and slightly larger than those based on the British and JEC standards. The skewed wind load factors of the main rod models are quite different from other models for cross-arm and tower body. The wind-induced vibration simulation suggests that, the wind-loading mode has limited impact on the displacements, accelerations, and gust factors of the transmission tower, but significantly influences the maximum normal stresses (MNSs) of the rods’ cross-sections. The MNSs caused by the distributed wind loads are obviously greater than those caused by concentrated wind loads, especially for the rods at the two ends of the cross-arm.
Sustainable Microwave Absorbing Material based on Macadamia Nutshell Derived Porous Carbon
Authors: Cui Haipeng , Zhao Pengfei , Hu Benxiang , Long Aichun , He Simin , Chen Guojing , Liao Lusheng , Liao Jianhe , Zhao Yanfang
Published: February 2022

Increasingly severe electromagnetic pollution problem boosts the demand for light weight microwave absorbing materials with high absorption capacity over wide frequency range. Biomass-derived porous carbon has been regarded as one of the promising candidates for microwave attenuation as the biomaterials are vastly available and renewable. Here, macadamia nutshell derived porous carbon (MPC) was fabricated by activated carbonization. Evidenced by the morphological results, the resulted MPC demonstrates three-dimensional frameworks with tubular skeletons. Owing to such hierarchical structures, the resulted composite MPC-filled paraffin composites exhibit a minimum reflection loss of [Formula: see text]44.14[Formula: see text]dB and effective absorption bandwidth of 3.84[Formula: see text]GHz. Moreover, the resulted MPC can be explored as a practical absorber in a frequency range of 3.68–18.00[Formula: see text]GHz via tuning of the thickness. The analysis of microwave attenuation mechanism indicates that such outstanding microwave absorption capacity is attributed to hierarchical structure tuned impedance matching conditions and multiple attenuation mechanisms. All results in this work open the avenue for the development of nutshell derived sustainable microwave absorber with high absorption capacity as well as broad effective absorption bandwidth, boosting the utilizing of biomass resources.
The Open Data Canvas–Analyzing Value Creation from Open Data
Authors: Gao Yingying , Janssen Marijn
Published: February 2022

Expectations to derive value from open data are high. However, how value is created from open data is still largely unknown. Open data value is usually generated in constellation of actors in which each player has different capabilities and roles. To understand the open data value creation process, the business model canvas is introduced in this article. The typical components of the business model canvas and open data value creation are derived from the literature. By combining these two research streams, the open data value model canvas is created. The case of Coronavirus disease 2019 (COVID-19) worldwide dashboard developed by the Johns Hopkins University is used to evaluate the model's utility. Key components of the open data value model are creating an overview of various data sources from public and private organizations, having capabilities to combine heterogeneous data, and connecting data and needs. In this way, the open data canvas helps to grasp the value creation logic.
Clinical Characteristics of Patients with Pulmonary Thromboembolism Based on Computer Statistical Analysis
Authors: Wang Shaofei , Jia Ruiyi , Pang Guifen
Published: February 2022

In order to explore the reliable clinical characteristics of patients with pulmonary thromboembolism, this paper applies computer statistical analysis methods to the analysis of clinical characteristics of patients with pulmonary thromboembolism. Moreover, starting from the actual situation, this paper combines experiments to study the case, uses sample screening and sample processing to group samples freely, and conducts grouping reliability research through data statistics methods. After verifying the reliability of the grouping, this paper combines the samples to test the effectiveness of the computer statistical analysis method applied to the clinical characteristic analysis of patients with pulmonary thromboembolism and conducts numerical analysis in combination with the comparative analysis method. The results of the research show that the computer statistical method proposed in this paper has a good effect on the clinical characteristics of patients with pulmonary thromboembolism and meets the actual needs of clinical analysis.
Evaluation of Antireflux Mucosectomy for Severe Gastroesophageal Reflux Disease: Medium-Term Results of a Pilot Study
Authors: Laquière Arthur , Trottier-Tellier Felix , Urena-Campos Romina , Lienne Pascal , Lecomte Laurence , Katsogiannou Maria , Penaranda Guillaume , Boustière Christian
Published: February 2022

Background. Antireflux mucosectomy, a new endoscopic treatment for gastroesophageal reflux disease, consists of endoscopic mucosal resection at the esophagogastric junction. This study aim was to evaluate the medium-term efficacy of the antireflux mucosectomy technique for patients with severe gastroesophageal reflux disease symptoms (proton pump inhibitor treatment-dependent or proton pump inhibitor treatment-resistant gastroesophageal reflux disease). Methods. Between January 2017 and June 2018, 13 patients with severe gastroesophageal reflux disease without hiatal hernia, with positive pH reflux, were included in this monocentric prospective pilot study. The primary outcome was clinical success, defined by improvement evaluated by the Gastroesophageal Reflux Disease Health Related Quality of Life Questionnaire at 24 months. Secondary outcomes were technical success, decreased use of proton pump inhibitors, patient satisfaction, and adverse events. Results. Thirteen patients [

females
=
8

(62%)], mean age 59 (range, 54-68), were included. The antireflux mucosectomy procedure had technical success in all patients. At 24 months, for 11 patients, gastroesophageal reflux disease symptoms were significantly improved, and mean gastroesophageal reflux disease score decreased from 33 (range, 26-42) to 3 (range, 0-7) (

p
=
0.001

). Ninety-one percent (

n
=
10

) of patients had a lower proton pump inhibitor intake at 24 months. One patient had 3 endoscopic balloon dilatations for EGJ stenosis, two patients had melena ten days after procedure, and seven patients had thoracic or abdominal pain. Patient’s satisfaction at 24 months was 81%. Conclusions. In patients with severe gastroesophageal reflux disease, despite occurrence of several short-term adverse events, antireflux mucosectomy seemed effective in improving gastroesophageal reflux disease symptoms at 24 months. This trial is registered with ClinicalTrials: NCT03357809.
Hyperthermic Intraperitoneal Chemotherapy plus Intravenous Chemotherapy of Paclitaxel with or without Sintilimab in Gastric Cancer: A Comparative Study
Authors: Zhang Zao , Ning Mei-Ying , Han Dong , Li Li , Li Zhuang-Zhuang
Published: February 2022

Objective. To compare the clinical efficacy of hyperthermic intraperitoneal chemotherapy (HIPEC) plus intravenous chemotherapy of paclitaxel with or without sintilimab in peritoneal metastasis of gastric cancer. Methods. A total of 120 patients assessed for eligibility with peritoneal metastasis of gastric cancer treated in the oncology department of our hospital from January 2019 to June 2020 were recruited. They were concurrently randomly assigned in a 1 : 1 ratio to receive HIPEC plus sintilimab-paclitaxel intravenous chemotherapy (study group) or plus paclitaxel intravenous chemotherapy only (control group). Results. The objective remission rate (ORR) of ascites in the study group was significantly higher than that in the control group. Subgroup analysis showed that an age ≤60 years or well-differentiated tumors were associated with better objective remission. After treatment, significantly higher Karnofsky Performance Status (KPS) scores were observed in the study group versus those of the control group. Adverse events reported were comparable between groups. The study group obtained longer 12-month progression-free survival (PFS) and overall survival (OS) than those of the control group. Conclusion. On top of HIPEC, intravenous chemotherapy with sintilimab and paclitaxel constitute an effective alternative for patients with peritoneal metastasis of gastric cancer to enhance ascites remission, ameliorate the quality of life, and prolong survival, versus with paclitaxel alone.
[Retracted] Research on Multiparty Payment Technology Based on Blockchain and Smart Contract Mechanism
Authors: Zhang Yanjun
Published: February 2022

As a peer‐to‐peer “P2P” distributed ledger, the blockchain has the advantages of decentralization, no trust, open autonomy, and nontampering. Therefore, many users are willing to conduct transactions in blockchain cryptocurrency systems such as Bitcoin and Ethereum. However, the throughput of traditional blockchain is extremely low, and the transaction is so delayed. The payment channel network is the most promising solution to expand the blockchain for widespread use. Achieving secure instant payment on the payment channel can significantly increase transaction throughput and reduce transaction delays. When the payment channel is closed, the balance in the channel will be returned to an account on the blockchain. In this paper, we discuss the design and the implementation of a multiparty payment channel network based on smart contracts. Where a two‐party payment channel is designed based on blockchain and smart contracts, a new multiparty payment channel is established on the basis of the payment channel. A detailed definition and description are given, and the creation, update, and closing functions of the multiparty payment channel are designed. Moreover, we design a multiparty payment channel smart contract, deploy it to the local private blockchain, and conduct simulation and testing. The delay time of different transaction methods is counted, and the network topology type, transaction amount, and other factors are studied. The impact of transaction success rate and the gas consumption of different transaction methods are analyzed through multiple sets of experimental statistics.
Auto-Adaptive Trust Measurement Model Based on Multidimensional Decision-Making Attributes for Internet of Vehicles
Authors: Yin Deshuai , Gong Bei
Published: February 2022

As an important branch and application of the Internet of Things (IoT), the Internet of Vehicles (IoV) has the characteristics of wide distribution and dynamic connection. The current research on trust measurement and management in IoV, to some degree, solved vehicles reliability and QoS issues, but these models still have some drawbacks, like insufficient adaptability to the dynamic changes of the context. Therefore, this paper proposes an adaptive trust measurement model for IoV based on multidimensional decision-making attributes. The model not only takes full advantage of the central static trust management role of the local organization but also implements a distributed self-governing mechanism to tackle the dynamic trust management issues. In the process of trust management, the model allows vehicles to handle the trust evaluation according to the service preferences, and vehicles can select some or all of the attributes from the multidimensional trust decision attribute list. For the recommendation trust evaluation, vehicles can select those vehicles which have similar service preferences from the vehicle candidate list. When computing the recommendation trust, the recommendation trust dispersion model is used to handle evaluation bias problems. The method of information entropy is introduced to tackle the weight adaptation problem when computing comprehensive trust evaluation. The simulation results and analysis show that the model can detect and recognize the malicious vehicles in the network and mitigate the risk that malicious vehicles provide the service to normal vehicles.
A Rare but Real Necessity: Case Report of Coronary Artery Stenting in an Infant
Authors: Martins José D. , Lourenço Guilherme , Sousa Lídia , Pinto Fátima F.
Published: February 2022

Percutaneous coronary intervention (PCI) is an extremely common and well-established procedure in adults which is rarely performed in children. We present a case of a successful left main coronary artery stenting in a small infant with a congenital coronary artery anomaly. We highlight the technical challenges of performing a PCI in a small patient, the risks of antithrombotic prophylaxis in this age group, and the importance of the combined work of the adult and pediatric interventional cardiologist.
Evaluating Barriers and Drivers to Sustainable Food Supply Chains
Authors: Mohseni Siyavash , Baghizadeh Komeyl , Pahl Julia
Published: February 2022

Today, with the daily increase in population, the demand for agricultural and/or, in general, food products continuously raises and so does the natural resources consumption which induces challenges to the supply chain management of important food products. In the present study, drivers as well as barriers of the agriculture sustainable supply chain are identified and ranked with the help of multicriteria decision-making (MCDM) techniques. We identify six drivers and seven barriers with the help of experts’ opinions in the field and apply ranking methods including TOPSIS-AHP, AHP, and COPRAS-AHP as well as Borda rule and Copeland method to merge the ratings. The results highlight that the economic dimension of sustainability is more important than the environmental and social dimension. Distrust of consumers, lack of understanding and awareness of managers, and performance appraisal problems were found to be the most important barriers. Furthermore, informing the community by the media, entering the global market, exporting products, and producing sustainable products as a competitive advantage were identified to be the most important drivers. The study also shows that public awareness and demands can push the food supply chains toward sustainability goals with the cooperation of governments and suppliers.
Development of Robust Guaranteed Cost Mixed Control System for Active Suspension of In-Wheel-Drive Electric Vehicles
Authors: Jin Xianjian , Wang Jiadong , Yang Junpeng
Published: February 2022

This paper presents a mixed H2/H∞-based robust guaranteed cost control system design of an active suspension system for in-wheel-independent-drive electric vehicles considering suspension performance requirements and parameter variation. In the active suspension system model, parameter uncertainties of active suspension are described by the bounded method, and the perturbation bounds can be also limited; then, the uncertain quarter-vehicle active suspension model where in-wheel motor is suspended as a dynamic vibration absorber is established. The robust guaranteed cost mixed H2/H∞ feedback controller of the closed-loop active suspension system is designed using Lyapunov stability theory, in which the suspension working space, dynamic tire displacement, and the active control force are taken as H∞ performance indices, the H2 norm of body acceleration is selected as the output performance index to be minimized, and then a comprehensive solution is transformed into a convex optimization problem with linear matrix inequality constraints. Simulations on random and bump road excitations are implemented to verify and evaluate the performance of the designed controller. The results show that the active suspension with developed robust mixed H2/H∞ controller can effectively achieve better ride comfort and road-holding ability compared with passive suspension and alone H∞ controller.
Quantitative Analysis of Cone-Beam Computed Tomography Artifacts Induced by Nonmetallic Root Canal Filling Materials Using Different Fields of View: In Vitro Study
Authors: AlMohareb Rahaf A. , Barakat Reem M. , Mehanny Mohamed
Published: February 2022

Cone-beam computed tomography (CBCT) imaging artifacts can hinder accurate diagnosis of several conditions. The aim of this study was to quantify CBCT artifacts created by nonmetallic root canal filling materials using two fields of view (FOV). Root canals of twenty extracted maxillary central incisors (

n
=
20

) were instrumented and randomly divided into four equal groups: canals in Group 1 were filled with gutta-percha, canals in Group 2 with mineral trioxide aggregate (MTA) and gutta-percha, canals in Group 3 with gutta-percha and glass-fiber posts, and canals in Group 4 with MTA and glass-fiber posts. Each tooth was mounted on a silicon block and scanned three times using a CBCT machine, first with a prefilling scan (control) and then with postfilling scans, using two different FOV (

40
∗
50
 
mm

and

80
∗
50
 
mm

). Imaging software was used to measure grayscale pixel values of canal cross sections. Data were analyzed using

t

-test and paired

t

-test statistical tests, with statistical significance set at

p
≤
0.05

. Dentin at the apical and middle third of the teeth showed a significant decrease in minimum grayscale values in association with gutta-percha (

p
=
0.027

,

p
=
0.034

). However, a wide

80
∗
50

FOV showed a significant increase in maximum grayscale values of coronal (

p
=
0.048

) and apical dentin (

p
=
0.049

). Glass-fiber posts in middle third cross sections also corresponded to an increase in maximum grayscale values (

p
=
0.018

). Gutta-percha produced dark band artifacts in the root’s middle and apical thirds, whereas white streak artifacts were produced by gutta-percha in the coronal third and glass-fiber posts in the coronal and middle thirds when imaged with a wider FOV. A smaller FOV is therefore recommended for CBCT imaging, as it produces fewer artifacts.
Knowledge Transfer Analysis and Management of Virtual Enterprises Based on Structured Cognitive Computing
Authors: Lei Ai
Published: February 2022

With the advent of the era of big data, in the face of massive data mining, cognitive computing will play a pivotal role in future data processing. This study aims to study how to analyze the knowledge transfer and management of virtual enterprises based on structured cognitive computing. This study explains the basic concepts of structured cognitive computing and virtual enterprises and discusses knowledge transfer. In the experiment of this study, it can be seen from Table 1that in 2015, the growth rate of virtual enterprises reached 13%, the growth rate of virtual enterprises reached 36% in 2019, and it increased by 23% from 2015 to 2019. It can be seen that the development of virtual enterprises is getting faster and faster. From the data in Table 2 in the experiment of this study, we can see that with the increase in virtual enterprises in recent years, it has also brought development to the economy of various regions in China. The average employment rate in each region has increased by 24% at the lowest and reached 30% at the highest. It shows that the virtual enterprise has a great effect on the development of the region. Virtual enterprises can not only promote the growth of regional employment rate but also promote the flow of funds between different regions. Knowledge transfer is an important part of the sustainable development of virtual enterprises. How to carry out effective knowledge transfer and management has become a problem that contemporary virtual enterprises need to think about. There are three main factors that affect the knowledge transfer of virtual enterprises: knowledge transfer party, knowledge receiver, and virtual enterprise’s own factors.
Dynamics of Thermoacoustic Oscillations in Swirl Stabilized Combustor without and with Porous Inert Media
Authors: Dowd Cody , Meadows Joseph
Published: February 2022

Lean premixed (LPM) combustion processes are of increased interest to the gas turbine industry due to their reduction in harmful emissions. These processes are susceptible to thermoacoustic instabilities, which are produced when energy added by an in-phase relationship between unsteady heat release and acoustic pressure is greater than energy dissipated by loss mechanisms. To better study these instabilities, quantitative experimental resolution of heat release is necessary, but it presents a significant challenge. Most combustion systems are partially premixed and therefore will have spatially varying equivalence ratios, resulting in spatially variant heat release rates. For laminar premixed flames, optical diagnostics, such as OH chemiluminescence, are proportionally related to heat release. This is not true for turbulent and partially premixed flames, which are common in commercial combustors. Turbulent eddies effect the strain on flame sheets which alter light emission, such that there is no longer a proportional relationship. In this study, phased, averaged, and spatially varying heat release measurements are performed during a self-excited thermoacoustic instability without and with porous inert media (PIM). Previous studies have shown that PIM can passively mitigate thermoacoustic instabilities, and to the best of the authors’ knowledge, this is the first-time that heat release rates have been quantified for investigating the mechanisms responsible for mitigating instabilities using PIM. Heat release is determined from high-speed PIV and Abel inverted chemiluminescence emission. OH

∗

chemiluminescence is used with a correction factor, computed from a chemical kinetics solver, to calculate heat release. The results and discussion show that along with significant acoustic damping, PIM eliminates the direct path in which heat release regions can be influenced by incoming perturbations, through disruption of the higher energy containing flow structures and improved mixing.
A Novel Low Stiffness Air Spring Vibration-Isolation Mounting System
Authors: Shuai Chang-geng , Li Bu-yun , Ma Jian-guo , Yang Zhao-hao
Published: February 2022

Quasi-zero-stiffness (QZS) structures offer substantial practical benefits for facilitating the essential support and isolation of vibrational source loads aboard modern marine vessels. In order to design a compact QZS system of high bearing capacity, the article proposes a low stiffness air spring (LSAS) vibration-isolation mounting system composed of both vertical and lateral air springs. The vertical air springs support the load and isolate vibrations in the vertical direction, while the lateral air springs support the load and isolate transversal vibrations. Theoretical analyses based on a simple two-dimensional, single degree of freedom model demonstrate that the proposed novel LSAS design decreases the degree of stiffness in the support structure that would otherwise be induced by introducing lateral air springs and accordingly increases the vibration isolation effect. Moreover, optimization of the air spring parameters enables the lateral air springs to provide negative stiffness and thereby realize QZS characteristics. Experimental testing based on prototypes of a standard air spring mounting system and the proposed LSAS mounting system demonstrates that the stiffness of the proposed system is about 1/5 that of the standard system. Accordingly, the proposed structure design successfully alleviates the undesirable influence of lateral air springs on the stiffness of the mounting system.
Variable Condition Model and Scheduling Optimization of Heating System Based on Layered Water Tank
Authors: Wang Qimin , Li Wanzhuo , Song Kaixin
Published: February 2022

Under the background of carbon peaking and carbon neutralization proposed by China, the development of energy storage technology is imperative. The heat consumption of building central heating is large, which can be used as an important means of load side energy storage. The mathematical model of the central heating system is established, the optimal simulation of the regenerative temperature stratified water tank in the heating system is carried out, and the optimal structure of the temperature stratified water tank is obtained. The heating power of the fully mixed water tank is compared with the indoor maintenance temperature, and the power consumption of the primary pump is reduced by 8.5%. The energy utilization rate of the heating system is high and has high energy-saving potential.
A Brief Review on Heavy Metal Bioaccumulation Studies from Red Sea
Authors: Alnashiri Hassien M.
Published: February 2022

The Red Sea forms an important marine ecosystem with its rich species diversity and the different ecosystems, including the coral reefs. The region has received relatively less heavy metal pollution owing to comparatively lesser industrial pollution. This study attempts to review the records of heavy metal bioaccumulation reported in the last two decades. This review is an endeavour to audit the heavy metal bioaccumulation, revealed over the past twenty years, such as As, Cr, Cu, Fe, Cd, Hg, Mn, Zn Ni, Co, Se, and Pb, as reported from various regions of the Red Sea in organisms such as plankton, molluscs, crustaceans, and fish. Though the results of various studies reviewed here are not comparable to each other due to differences in organisms, types of tissues studied, and different methods of analysis as well as nature of their inhabiting sites, this review will be a baseline data of the heavy metal bioaccumulation, which can help in future evaluation in the context of the rapid developmental activity prevalent in the coasts of the Red Sea. The findings compiled emphasize the need for a comprehensive biomonitoring program that can conserve the unique biodiversity of the Red Sea.
Application of Chinese Traditional Elements in Furniture Design Based on Wireless Communication and Internet of Things Technology
Authors: Wu Shilin
Published: February 2022

The Chinese nation has a history of 5,000 years and has accumulated countless precious cultures in this long history. The Chinese element is the main body that integrates the long-standing similar culture of the Chinese nation into the traditional Chinese culture in a better way. It is the crystallization of the Chinese nation’s pursuit and wisdom for a better life. Furniture is a necessity for people’s lives and an important carrier and channel for the spread of Chinese art and culture. Chinese culture has experienced thousands of years of accumulation, and the accumulated traditional art and culture are inexhaustible treasures of modern furniture design. The purpose of this article is to study the application of traditional Chinese elements in furniture design based on wireless communication and Internet of Things technology. This article analyzes the wireless communication technology and the Internet technology in detail and then combines them with the furniture to become the smart furniture we are familiar with. Then, from the perspective of traditional Chinese elements, it combines traditional Chinese elements with furniture design and explains the origin of the influence range of traditional Chinese elements in furniture design and the content contained in traditional Chinese elements. Then through a large number of survey market data and a large-scale questionnaire survey, the influence of Chinese traditional elements in the market and the authenticity of this article are proved. According to the questionnaire in this article, it proves the prosperity of our country’s market and the development trend of furniture. In this article, the application of Chinese traditional elements in furniture design is analyzed in detail, and the tenon and tenon structure and the culture of the mean are integrated into the furniture design. Then the connection between the intelligent furniture system that controls the furniture and the furniture was tested. According to the test results in this article, ZigBee technology is used for the connection signal of furniture in the indoor environment, which has the advantages of short distance, low complexity, low power consumption, low speed, and low cost. And after 500 sending and receiving experiments, detailed data was obtained. When the distance from the furniture is 70 M, the packet loss rate is about 31.6%, but when the distance from the furniture is 30 M, the packet loss rate is almost 0, which meets the daily routine use. This research not only provides realistic cases for the application of traditional cultural elements, but also opens up new ideas for its integration with people’s daily life.
Cultivating Iranian IELTS Candidates’ Writing Skills through Online Peer Feedback: A Mixed-Methods Inquiry
Authors: Rezai Afsheen
Published: February 2022

Though peer feedback has gained noticeable attention in second-language (L2) education in face-to-face classes, its effects on improving IELTS candidates’ writing performance have remained unexplored in the Iranian EFL context. Thus, the present study aims to reach a two-fold purpose. First, it investigates the effects of online peer feedback (OPF) on improving Iranian IELTS candidates’ writing performance. Second, it explores what the IELTS candidates’ perceptions are about the efficacy of online peer feedback to cultivate their writing performance in the Iranian EFL context. To these aims, having been homogenized through the Oxford Quick Placement Test (OQPT), a total of 35 IELTS candidates were randomly assigned into an experimental group and a control group. The two groups went through pretest, treatment, posttest, and delayed posttest procedures. To collect the required qualitative data, 5 participants of the experimental group participated in a focus group interview. The data were analyzed using a one-way ANCOVA and content analysis. Findings documented that the experimental group outperformed the control group on the posttest and delayed posttest. Additionally, the qualitative results revealed that the participants had positive attitudes toward the potentials of OPF to cultivate writing skills. The study ends with proposing a range of implications and suggestions for further research.
Research on Mining‐Induced Stress Distribution of Extrathick Coal Seams Based on Electromagnetic Wave CT Technology
Authors: He Tuan , Li Guodong , Luo Feng , Li Xueqing
Published: February 2022

Fully mechanized caving mining in extrathick coal seams is currently the most efficient mining method. To figure out the mining‐induced stress in extrathick coal seams which is significantly different from the normal ones is essential for mining safety. This research is based on the No. 3106 working face of Lu‐Zi‐Gou coal mine in China, which extracts extrathick coal seams by using the comprehensive mechanized top‐coal caving method. According to the elastoplastic theory, a multiforce superposition mining‐induced stress model is constructed in this research. In this model, the mining‐induced stress is generated by the side coal seam of the stope, including the load formed by the broken roof blocks in the caving zone, the unbroken rock layers in the side of the goaf, and the rock layers in the bending zone. To verify the model, electromagnetic wave CT detection and borehole endoscopy are used to test the coal’s electromagnetic wave attenuation and internal joints. The results indicate that the mining of extrathick coal seams forms internal and external stress fields in the side coal seams of the stope. As the depth increases, the mining‐induced stress first increases and then decreases within the two areas. According to the above conclusions, the width of coal pillars and the location of roadways between adjacent working faces can be reasonably determined.
Man-Machine Synergy Control for Pneumatically Powered Exoskeleton Based on Surface Electromyogram Signal
Authors: Jiang Feilong , Liu Hao , Li Qingwei , Cao Jian , Yin Xiaoliang , Dong Rui
Published: February 2022

The biceps and triceps alternatively act as agonists and antagonists to realize upper limb movement. Pneumatic artificial muscle (PAM), which is inflated and deflated with compressed air instead of water, has similar characteristics to those of human muscle. The challenge is whether an exoskeleton actuated by PAM can help biceps lift the upper limb. Accordingly, the principal aim of this research is to guarantee precise signal collection and control process and adopt the synergy control of PAM and upper limb. In this system, the biceps and triceps provide the main signals in synergy control, electrodes are pasted outside of biceps and triceps to sample their electromyogram signal (EMGs), and the mechanical structure and control system of the pneumatic exoskeleton are proposed. The relationship between duty-ratio-controlled variables and PAM contraction speed is given by experimental analysis, and the maximum duty ratio of controlled variables of input is set to 80. The feature analysis of EMGs can be various including envelope, moving average, and moving root mean square (RMS). The envelope is taken to extract muscle contraction information through upper limb muscles in a static contraction experiment. Then, the processes of biceps and triceps EMGs feature changes including rapid swing, slow swing, and discontinuous swing under various loads are analyzed during upper limb muscle dynamic contraction. The duty-ratio-controlled variables can be divided into five levels, which correspond to exertion rating from powerless to very strong in two EMG characters. These can be reflected in a scatter diagram of duty-ratio-controlled variables and average EMG characters. A nonlinear relationship can be transferred into the continuous system by the polynomial interpolation method, solving the problem of saturation. The net duty-ratio-controlled variables are adopted to control the on-off state and pulse-width modulation (PWM) duty ratio of the high-speed on-off valve. The forearm lifting up movement is unpowered and powered with various load EMGs, and elbow discontinuous swing angle overshoot is performed to analyze the coordination effect in a synergy control experiment.
Unit Interval Time and Magnitude Monitoring Using Beta and Unit Gamma Distributions
Authors: Akram Muhammad Farhan , Ali Sajid , Shah Ismail , Marcon Giulia
Published: February 2022

Quick detection of an assignable cause is necessary for process accuracy with respect to the specifications. The aim of this study is to monitor the time and magnitude processes based on unit‐interval data. To this end, maximum exponentially weighted moving average (Max‐EWMA) control chart for simultaneous monitoring time and magnitude of an event is proposed. To be precise, beta and unit gamma distributions are considered to develop the Max‐EWMA chart. The chart’s performance is accessed using average run length (ARL), the standard deviation of run length (SDRL), and different quantiles of the run length distribution through extensive Monte Carlo simulations. Besides a comprehensive simulation study, the proposed charting methodology is applied to a real data set. The results show that the proposed chart is more efficient in detecting small to medium‐sized shifts. The results also indicate that simultaneous shifts are detected more quickly as compared to the pure shift.
Optimal PMU Placement in the Presence of Conventional Measurements
Authors: Jin Zhaoyang , Hou Yueting , Yu Yue , Ding Lei
Published: February 2022

This article presents a novel method for optimal phasor measurement unit placement (OPP) for full power system observability in the presence of conventional measurements. The method considers eligible PMU placements that may be omitted by existing OPP methods and hence may provide a better solution and can guarantee that the PMU placement can restore network observability. This is achieved by creating a new observability criterion and a network transformation scheme. The new observability criterion uses injection and zero injection measurements to improve the solution and the network transformation scheme reduces the size of the OPP problem and is a prerequisite for applying the proposed observability criterion. The OPP problem is solved using binary integer linear programming (BILP) or binary integer linear programming (BILP). Therefore, the proposed OPP method can be easily combined with other OPP methods, considering other constraints/scenarios using BILP, such as OPP considering PMU current channel limits. The new method is tested using simulations of the IEEE 14-, 118-, and 2736-bus test systems. These results show that the proposed new method is feasible in terms of execution time, is free of solutions that fail to make the system fully observable, and is capable of identifying optimal placement solutions that may be overlooked by existing OPP methods.
Discovering Organizational Hierarchy through a Corporate Ranking Algorithm: The Enron Case
Authors: Creamer Germán G. , Stolfo Salvatore J. , Creamer Mateo , Hershkop Shlomo , Rowe Ryan
Published: February 2022

This paper proposes the CorpRank algorithm to extract social hierarchies from electronic communication data. The algorithm computes a ranking score for each user as a weighted combination of the number of emails, the number of responses, average response time, clique scores, and several degree and centrality measures. The algorithm uses principal component analysis to calculate the weights of the features. This score ranks users according to their importance, and its output is used to reconstruct an organization chart. We illustrate the algorithm over real‐world data using the Enron corporation’s e‐mail archive. Compared to the actual corporate work chart, compensation lists, judicial proceedings, and analyzing the major players involved, the results show promise.
Lightweight and High-Performance Data Protection for Edge Network Security
Authors: Chen Xiaojie , Li Bin , Zhou Qinglei
Published: February 2022

To strengthen the security of edge network data and reduce network latency, in this paper, we combine an advanced reduced instruction set computing machine (ARM) and a field programmable gate array (FPGA) to propose a lightweight ARM-FPGA computing architecture for edge network data security protection and acceleration. Firstly, the access control lists are set through FPGA to authorize and filter illegal data, thereby reducing the transmission and processing of invalid data on the network. Secondly, based on the principles of dynamization, diversification, and randomization, the initial random key is generated using a pseudo-random number generator and a scrambling factor, and the hash of the data packet value updates the key to ensure “one frame, one key.” Then, an ARM microprocessor is used to monitor the working status of the system in real-time. If an abnormality is found, different disturbance factors are activated using key management to change the system running status and restore the stability of the system. Finally, pipeline technology and critical path optimization on FPGA are used to parallelize the underlying encryption algorithm and data compression algorithm to achieve high-speed memory communication and meet the performance requirements of different networks. The experimental and analysis results show that the computing architecture designed in this paper has high network encryption performance and can effectively prevent data leakage. In addition, the effectiveness of the architecture in terms of network delay and network load is verified.
The Effects of C. lacerata on Insulin Resistance in Type 2 Diabetes Patients
Authors: Choi Arim , Kim Jung Hye , Chung Hye-Kyung , Ahn Chul Woo , Choi Hee Joon , Kim Yu-Sik , Nam Ji Sun
Published: February 2022

Background. Several experimental studies have suggested beneficial effects of Ceriporia lacerata on glucose metabolism. However, there has been no human study assessing the effects of C. lacerata on glucose metabolism. Therefore, we investigated whether C. lacerata improves glucose control and insulin resistance in type 2 diabetes patients. Methods. Ninety patients diagnosed with type 2 diabetes (T2DM) for more than 6 months were enrolled. Subjects were randomly divided into placebo (

n
=
45

) or C. lacerata (

n
=
45

) groups and then assigned to take placebo or C. lacerata capsules (500 mg/capsule) for a 12-week intervention period. Biochemical markers, including fasting glucose, 2-hour postprandial plasma glucose, and lipid profile levels, as well as insulin, c-peptide, and Hba1c, were measured. Furthermore, insulin sensitivity indices, such as HOMA-IR, HOMA-beta, and QUICKI, were assessed before and after the 12-week administration. Results. Eighty-four patients completed the study. There were no significant differences in fasting, postprandial glucose, HbA1c, or lipid parameters. HOMA-IR and QUICKI indices were improved at week 12 in the C. lacerata group, especially in subjects with HOMA-IR of 1.8 or more (

p
<
0.05

). Fasting, postprandial c-peptide, and insulin levels decreased at week 12 in the C. lacerata group (

p
<
0.05

). These significant differences were not observed in the placebo group. Conclusion. Twelve-week administration of C. lacerata in T2DM patients resulted in significant improvement in insulin resistance, especially in those with lower insulin sensitivity. A larger population study with a longer follow-up period and an effort to elucidate the mechanism is warranted to further assess the effects of C. lacerata on T2DM patients.