bluuebunny/crossref_metadata_2025 huggingface dataset:
NUMERICAL STUDY OF BIOMAGNETIC MAXWELL FLUID PAST A NONLINEARLY STRETCHING SHEET WITH CONSIDERING MAGNETIZATION AND ELECTRICAL CONDUCTIVITY
Authors: MURTAZA M. G. , MISRA J. C. , TZIRTZILAKIS E. E. , FERDOWS M.
Published: April 2023

This study goal is to examine the flow of two-dimensional biomagnetic Maxwell fluid past a nonlinearly stretched sheet while it is subject to an applied magnetic field that is produced by the presence of a magnetic dipole. Assumedly, the fluids magnetization M varies linearly with temperature T and magnetic field strength H. Consideration is given to the effects of magnetohydrodynamics (MHDs) and ferrohydrodynamics (FHDs) on the flow. The controlling nonlinear partial differential equation is presented with similarity transformations to change it into coupled ordinary differential equations. These equations are then numerically solved with the help of common finite differences method. The influence of the addressed problem parameters, namely, magnetic parameter [Formula: see text], ferromagnetic parameter [Formula: see text], Deborah number [Formula: see text] and nonlinear stretching parameter [Formula: see text] on the flow profile is discussed with the help of graphical demonstration. The obtained results show that the fluid velocity increases near the wall but its reverse after a fixed point from the wall with increases nonlinearity stretching parameter. The study also demonstrates that as the magnetic field intensity increases, the temperature distributions increase while the fluid velocity decreases. It was also discovered that, in contrast to the situation of pure hydrodynamics, the effect of MHD or FHD interaction is to slow down the fluid velocity. By making numerous comparisons with previously published work, the numerical method accuracy is examined, and the comparisons show that the results are generally in good accord. Along with the flow parameters, physical parameters like the dimensionless Nusselt number and the skin friction coefficient are shown. The study will be crucial for applications in medicine.
Artificial Intelligence and Disruptive Technologies in Service Systems: A Bibliometric Analysis
Authors: Marques P. Carmona , Reis João , Santos Ricardo
Published: April 2023

Artificial intelligence (AI) is being used in our daily lives, in all situations and in particular those concerning service systems. However, there is an absence of the ability of the conceptual structure, thematic structure, intellectual structure, and research trends of AI and disruptive technologies in service systems. The main purpose of this study was to carry out a bibliometric analysis of the scientific production of AI and disruptive technologies in service systems based on Elsevier’s Scopus database. To do so, keywords were chosen and then data outputs such as the number of published documents, top authors and citations, top journals, countries, and affiliations with the highest number of productions, and network analysis using R-based “biblioshiny” software. The main results showed the growing interest in the subject in the last five years, pointed out current themes and research trends, and revealed the intellectual structure of the field, namely the importance of smart services, cloud computing, and smart sustainable cities. The number of articles for this study reached 1,323, the growth rate has increased in the last five years and the main sources have been reported. China, South Korea and the USA were the leading countries on the subject, and the top 10 authors of influence showed. The word cloud and word growth were presented, as well as the co-citation clusters and co-occurrence network revealed important aspects, and finally the thematic map and the thematic evolution of the subject showed the important concepts. It is hoped that this research will supply future directions for researchers in the area while highlighting the potential of quantitative methods.
Killing vectors and magnetic curves associated to Bott connection in Heisenberg group
Authors: Liu Haiming , Hua Yuefeng , Chen Xiawei , Yang Jinli
Published: April 2023

In this paper, we define the notion of Bott connection in the Heisenberg group [Formula: see text] and derive the expression of the Bott connection by using the Levi-Civita connection. Moreover, we derive the expressions of killing vector fields by using the killing equation and obtain some explicit formulas for killing magnetic curves associated to the Bott connection. Furthermore, we give some examples of killing magnetic curves.
A study of conformal Riemannian maps whose total manifold admits a Yamabe soliton
Authors: Maini Reetu , Gupta Garima , Kumar Rakesh , Sachdeva Rashmi , Rani Rachna , Bhatia Satvinder Singh
Published: April 2023

We study conformal Riemannian maps between Riemannian manifolds and derive expression of scalar curvature for its total manifold. Later, we study conformal Riemannian maps whose total manifold admits a Yamabe soliton and obtain conditions for fiber and range space of such maps to be Yamabe soliton. We also present a characterization theorem for a Yamabe soliton to be an almost Yamabe soliton for conformal Riemannian maps. Finally, we derive a nontrivial example of a conformal Riemannian map whose total manifold admits a Yamabe soliton.
Dynamics of Caputo fractional-order SIRV model: The effects of imperfect vaccination on disease transmission
Authors: Abdullahi Auwal , Mohd Mohd Hafiz
Published: April 2023

Though vaccination protects individuals against many infectious diseases, such protection does not always last forever since a few vaccinated individuals could lose their lifelong immunity and eventually become infected. This study, therefore, determines the effects of imperfect vaccination and memory index on the spread of diseases through the Caputo fractional-order SIRV (Susceptible-Infected-Recovered-Vaccinated) epidemic model. Vital properties of the new model — including the conditions for the existence of a unique solution determined through the fixed-point theory and the conditions for the existence of a positive solution of the model obtained via the Mittag-Leffler function along with the Laplace transformation — are thoroughly studied. Consequently, our simulation results report that an increase in the imperfect vaccination force increases the population of infected individuals. For the memory effect, the higher “memory” the epidemic system has of past states (which corresponds to decreasing values of fractional-order parameter), the greater the peaks and magnitudes of infection shaping the epidemiological system dynamics.
A novel algorithm and its convergence analysis for solving the generalized Abel integral equations through fractional calculus
Authors: Kaafi S. R. , Hesameddini E. , Mokhtary P.
Published: April 2023

This paper concerns a new semi analytical method for approximate solution of the first type generalized Abel integral equations. An especial numerical fractional derivative which is L1 method will be used for solving this kind of equations. Also, existence, uniqueness, convergence and stability of the given scheme will be studied through some theorems and lemmas. Moreover, some numerical examples are presented and the results are compared with their exact solutions and some other numerical methods to illustrate the capability of this algorithm for solving these generalized Abel integral equations.
Fluvial-style migration controls autogenic aggradation in submarine channels: Joshua Channel, eastern Gulf of Mexico
Authors: Morris Paul D. , Sylvester Zoltán , Covault Jacob A. , Mohrig David , Dunlap Dallas
Published: April 2023

There has been debate over the processes acting on deep-water channels, with comparisons made to the evolution of meandering fluvial systems. We characterized a three-dimensional seismic-reflection dataset of the Joshua deep-water channel–levee system located in the eastern Gulf of Mexico and interpreted 13 horizons showing its kinematic evolution over a 25 km reach. Over this reach, we documented channel migration through systematic bend expansion and downstream translation, which was sustained through channel aggradation as sinuosity increased from 1.25 to 2.3 at abandonment. An abrupt decrease in sinuosity was associated with a neck cutoff, which changed the subsequent migration direction of the channel in that locality. These processes are analogous to the evolution of meandering fluvial systems. We show that increasing channel sinuosity correlates to a reduction in channel slope and hypothesize that this promoted increasingly depositional turbidity currents that led to channel aggradation. Using a simple forward stratigraphic model in which vertical movements of the channel are governed by a stream power law, we show how aggradation can be driven autogenically. Trends in sinuosity, aggradation and slope are in broad agreement between the Joshua Channel and the model. This highlights the potential importance of intrinsic channel processes as a control on system evolution.
Hierarchical Resource Orchestration Framework for Real-time Containers
Authors: Struhár Václav , Craciunas Silviu S. , Ashjaei Mohammad , Behnam Moris , Papadopoulos Alessandro V.
Published: April 2023

Container-based virtualization is a promising deployment model in fog and edge computing applications, because it allows a seamless co-existence of virtualized applications in a heterogeneous environment without introducing significant overhead. Certain application domains (e.g., industrial automation, automotive, or aerospace) mandate that applications exhibit a certain degree of temporal predictability. Container-based virtualization cannot be easily used for such applications, since the technology is not designed to support real-time properties and handle temporal disturbances. This article proposes a framework consisting of a static offline and a dynamic online phase for resource allocation and adaptive re-dimensioning of real-time containers. In the offline phase, the optimal initial deployment and dimensioning of containers are decided based on ideal system models. Additionally, to adapt to dynamic variations caused by changing workloads or interferences, the online phase adapts the CPU usage and limits of real-time containers at runtime to improve the real-time behavior of the real-time containerized applications while optimizing resource usage. We implement the framework in a real Linux-based system and show through a series of experiments that the proposed framework is able to adjust and re-distribute computing resources between containers to improve the real-time behavior of containerized applications in the presence of temporal disturbances while optimizing resource usage.
Automatic Generation of Resource and Accuracy Configurable Processing Elements
Authors: León-Vega Luis G. , Salazar-Villalobos Eduardo , Rodriguez-Figueroa Alejandro , Castro-Godínez Jorge
Published: April 2023

Low-power consumption and scarce computational resources limit the computation at the edge. Besides, the approximate computing paradigm reports promising techniques for designing accelerators to deal with inherent limitations of the edge, and high-level synthesis with C++ opens the opportunity to use meta-programming for specialisable generic design. This work proposes a framework for automatically generating synthesis-time configurable
processing elements (PEs)
for matrix multiplication-addition (GEMMA) and convolution. To evaluate our work, we perform a design exploration after varying data bit-width, operand sizes, and kernel sizes. Our analyses include resource consumption scaling, clocks-to-solution, design efficiency, and error distribution, presenting a comprehensive view of how the parameters affect the properties of our generic implementations. The GEMMA presented a trade-off between
granularity vs efficiency
, where large PEs with short data widths are favoured by the design efficiency, achieving, theoretically, up to 75 GMAC/s on a Xilinx XC7Z020 @ 100 MHz with an efficiency of 27%. For design efficiency, we propose a figure of merit to evaluate operations per second and resource utilisation with respect to the maximum achievable by the FPGA. Regarding the convolution PEs, we implemented two algorithms: a window-based spatial convolution and Winograd. The former is the best in terms of performance with 150 GMAC/s, reaching up to 47% of efficiency. Winograd also outperformed numerically using a 3× 3 kernel filter, presenting a mean error of 11.01% in 4-bits operands with a PSNR=16.28 dB, compared to the spatial convolution with 38.2% of mean error and PSNR=5.89 dB. Finally, we discuss how the error is mostly dependent on the PE’s parameters. In the GEMMA, the error depends on the matrix size, causing limitations in the PE scaling but still applicable to accelerators. The PEs developed during this research will lead to further granular approximate accelerator research.
Deadline-Aware Task Offloading for Vehicular Edge Computing Networks Using Traffic Light Data
Authors: Oza Pratham , Hudson Nathaniel , Chantem Thidapat , Khamfroush Hana
Published: April 2023

As vehicles have become increasingly automated, novel vehicular applications have emerged to enhance the safety and security of the vehicles and improve user experience. This brings ever-increasing data and resource requirements for timely computation by the vehicle’s on-board computing systems. To meet these demands, prior work proposes deploying vehicular edge computing (VEC) resources in road-side units (RSUs) in the traffic infrastructure with which the vehicles can communicate and offload compute-intensive tasks. Due to the limited communication range of these RSUs, the communication link between the vehicles and the RSUs — and, therefore, the response times of the offloaded applications — are significantly impacted by vehicle mobility through road traffic. Existing task offloading strategies do not consider the influence of traffic lights on vehicular mobility while offloading workloads onto the RSUs. This causes deadline misses and quality-of-service (QoS) reduction for the offloaded tasks. In this article, we present a novel task model that captures time and location-specific requirements for vehicular applications. We then present a deadline-based strategy that incorporates traffic light data to opportunistically offload tasks. Our approach allows up to 33% more tasks to be offloaded onto RSUs compared with existing work without causing deadline misses, maximizing the resource utilization of RSUs.
Essential roles of the hypothalamic A11 region and the medullary raphe nuclei in regulation of colorectal motility in rats
Authors: Sawamura Tomoya , Yuki Natsufu , Horii Kazuhiro , Naitou Kiyotada , Yamaguchi Hiroshi , Yamanaka Akihiro , Shiina Takahiko , Shimizu Yasutake
Published: April 2023

The A11 region and the raphe nuclei, constituting descending pain inhibitory pathways, are related to both intracolonic noxious stimuli-induced colorectal motility and stress-induced defecation. Our findings may provide an explanation for the concurrent appearance of abdominal pain and defecation disorders in patients with irritable bowel syndrome. Furthermore, overlap of the pathway controlling colorectal motility with the pathway mediating stress responses may explain why stress exacerbates bowel symptoms.
Preterm ovine respiratory epithelial cell responses to mechanical ventilation, lipopolysaccharide, and interleukin-13
Authors: Abugisisa Leenah , Royse Emily X. , Kemp Matthew W. , Jobe Alan H. , Hillman Noah H.
Published: April 2023

Preterm lamb respiratory epithelial cells can be extracted from the trachea and bronchi and frozen, and the preterm cells can respond in culture to stimulation with LPS or IL-13. Brief mechanical ventilation changes the distribution and cell type of preterm respiratory cells toward an adult phenotype, and mechanical ventilation alters the response to LPS in culture. Bronchoalveolar lavage fluid from preterm lambs receiving mechanical ventilation also alters unventilated preterm and adult responses to LPS.
Effects of aging on cortical representations of continuous speech
Authors: Karunathilake I. M. Dushyanthi , Dunlap Jason L. , Perera Janani , Presacco Alessandro , Decruy Lien , Anderson Samira , Kuchinsky Stefanie E. , Simon Jonathan Z.
Published: April 2023

We observed age-related changes in cortical temporal processing of continuous speech that may be related to older adults’ difficulty in understanding speech in noise. These changes occur in both timing and strength of the speech representations at different cortical processing stages and depend on both noise condition and selective attention. Critically, their dependence on noise condition changes dramatically among the early, middle, and late cortical processing stages, underscoring how aging differentially affects these stages.
Relativistic Bistatic Scattering of a High-Speed Moving Plasma Coated Object
Authors: Ren Pengcheng , Kuang Lei , Gao Jianjun , Liu Qing Huo
Published: April 2023

Accurate modeling of relativistic electromagnetic scattering characteristics from high-speed motion of plasma coated objects is crucial for the development of hypersonic aircraft and their applications in the identification and surveillance of moving stealth targets. Nevertheless, a solution for bistatic polarized radar cross sections (RCSs) from a 3-D object with plasma coated layer in motion has yet to be obtained. This manuscript proposes a solution to this problem by employing a combination of the auxiliary differential equation (ADE) method with Lorentz finite-difference time-domain (FDTD) method. Utilizing the Lorentz transformation, this paper presents the transformation of parameters of the incident plane wave and dimensions of the object between the laboratory system that remains static and the rest system that remains stationary relative to the object in high-speed motion. The near-zone electromagnetic fields near the object are computed using the ADE method in the rest system, after which the near-field to far-field (NF-FF) transformation is employed to obtain the far-zone polarized scattered field. By applying Lorentz transformation to the coordinates, this paper presents a solution for the polarized scattering from moving plasma coated objects. Especially, radial components of the polarized scatterings are analyzed. The proposed method is validated through several numerical experiments, demonstrating its efficiency and accuracy.
Exploring the Analytical Solutions to the Economical Model via Three Different Methods
Authors: Raheel M. , Ali Khalid K. , Zafar Asim , Bekir Ahmet , Arqub Omar Abu , Abukhaled Marwan
Published: April 2023

In this article, the analytical solutions of economically important model named as the Ivancevic option pricing model (IOPM) along new definition of derivative have been explored. For this purpose,

exp

a

function, extended sinh-Gordon equation expansion (EShGEE) and extended

G

′

/
G

-expansion methods have been utilized. The resulting solutions are dark, bright, dark-bright, periodic, singular, and other kinds of solutions. These solutions are obtained and also verified by a Mathematica tool. Some of the gained results are explained by 2-D, 3-D, and contour plots.
Mechanical Characterization of Friction-Stir-Welded Aluminum AA7010 Alloy with TiC Nanofiber
Authors: Kaliappan S. , Mothilal T. , Natrayan L. , Pravin P. , Olkeba Tewedaj Tariku
Published: April 2023

The effects of introducing TiC nanofibers (TiCnf) to the weld pool of Grade AA7010 were investigated in this study. The joints were made on a vertical machining centre with a lap joint arrangement. ASTM standards were followed while testing the strength of tensile and yield and percent of elongation, and hardness strength. According to the data, welds formed with TiCnf at around 1.0 wt % had a maximum tensile strength of 452 MPa. It was discovered that utilizing many nanofibers also enhance microhardness. Because of the nanofiber, the HAZ and TMT grains were polished and distortion-free, resulting in improved mechanical properties.
Common Fixed Point Results for Intuitionistic Fuzzy Hybrid Contractions with Related Applications
Authors: Shagari Mohammed Shehu , Kanwal Shazia , Azam Akbar , Aydi Hassen , Gaba Yaé Ulrich
Published: April 2023

Over time, hybrid fixed point results have been examined merely in the framework of classical mathematics. This one way research has clearly dropped-off a great amount of important results, considering the fact that a fuzzy set is a natural enhancement of a crisp set. In order to entrench hybrid fixed notions in fuzzy mathematics, this paper focuses on introducing a new idea under the name intuitionistic fuzzy

p

-hybrid contractions in the realm of -metric spaces. Sufficient conditions for the existence of common intuitionistic fuzzy fixed points for such maps are established. In the instance where our presented results are slimmed down to their equivalent nonfuzzy counterparts, the concept investigated herein unifies and generalizes a significant number of well-known fixed point theorems in the setting of both single-valued and multivalued mappings in the corresponding literature. A handful of these special cases are highlighted and analysed as corollaries. A nontrivial example is put together to indicate that the hypotheses of our results are valid.
Effect of Boron Carbide Particles Addition on the Mechanical and Wear Behavior of Aluminium Alloy Composites
Authors: Ravindra  , Rajesh M. , Dilip Kumar K. , Sailender Mamunuri , Pathalinga Prasad G. , Nagaraj N. , Janaki Ramulu Perumalla
Published: April 2023

In this research, synthesis and assessment of the mechanical and wear possessions of Al7049-nano B4C composites are determined by experiments. Using the liquid metallurgy route, a stir casting technique was used to create composites with increasing concentrations of nano B4C from 3 to 9 weight %. Each composite’s reinforcement particles were heated to 400 degrees Celsius before being added to the molten Al7049 alloy in two separate steps, i.e., two-stage stir casting to optimise wettability and distribution. Scanning electron microscopy (SEM) was utilised to examine the microstructure, and energy dispersive spectroscopy (EDS) was utilised to determine the elemental make-up. Mechanical characteristics of composites were determined by subjecting them to tensile, compression, and hardness tests. Wear tests were conducted as per ASTM G99 standards with varying loads and speeds. Nanosized B4C particles were found to be dispersed throughout the sample space in a microstructural analysis. Hardness, ultimate strength, yield strength, and compression strength of Al7049 alloy composites were found to increase significantly as the weight percentage of nano B4C was increased. Additionally, compared to the unreinforced form, the ductility of the Al7049 alloy composites was slightly reduced. SEM micrographs of tensile-fractured specimens were used for research into the field of tensile fractography. Nano B4C reinforced composites exhibited superior wear resistance as compared to Al7049 alloy. These prepared composites can be used for wing root fitting of an aircraft.
Control of the Spread of COVID-19 by the Sentinel Method and Numerical Simulation of the Studied Model Solution
Authors: Soma Mifiamba , Ouedraogo Mamadou , Lamien Kassiénou , Sawadogo Somdouda
Published: April 2023

The COVID-19 (coronavirus disease) pandemic represents a global public health emergency unprecedented in recent history. This explains the growing interest of scientists in this subject. Indeed, the question of the COVID-19 pandemic has led to numerous scientific works, with the aim of estimating the reproduction number, the start date of the epidemic or the cumulative incidence. Their results have contributed to epidemiological surveillance and informed public health policy decisions. In our work, using basic data and statistics from the city of Ouagadougou in Burkina Faso, we first consider a mathematical model of COVID-19 transmission taking into account the possibility of transmission from dead populations to susceptible populations; then, we use another method which is the sentinel’s method of JL Lions to estimate the number of infected populations without any time trying to know the beginning of the epidemic; finally, we highlight the numerical simulation of the considered model solution.
Multiview Embedding with Partial Labels to Recognize Users of Devices Based on Unified Transformer
Authors: Ren Yimo , Li Hong , Liu Peipei , Liu Jie , Zhu Hongsong , Sun Limin
Published: April 2023

Recognizing the users of devices (or clusters of devices) who use IP addresses as unique identities on the Internet can easily enable numerous security applications. Fast and accurate user recognition is critical for supervisors to find influenced organizations connected to their networks in light of new security threats. Many users’ information scatters in the multisource data of IP addresses. Up until now, user recognition of devices has had two main problems. On the one hand, existing methods could not fully use multisource data of the IP addresses and wastes the valuable information of labels. On the other hand, only a tiny portion of devices can be tagged with highly confident known users manually, making it an urgent need to infer unknown users of devices. So, the problem of user recognition on devices is to guess the unknown user with multisource data and existing devices with known users. Therefore, this paper proposes a multiview fusion method to deal with multisource data from devices with a small number of manually labelled samples. The paper uses GraphSAGE to obtain an exemplary representation of IP addresses and designs a label encoder to fully use a small number of devices with known users. Then, the paper builds a specific unified transformer to achieve high performance to determine whether two devices have the same user. At the same time, the paper conducts real‐world experiments and finds that the proposed method can achieve 0.9158 accuracy and 0.6131 F1 to find devices with the same users on the constructed dataset in the real world.
Cancer-Associated Fibroblast Risk Model for Prediction of Colorectal Carcinoma Prognosis and Therapeutic Responses
Authors: Wang Yan , Chen Zhengbo , Zhao Gang , Li Qiang
Published: April 2023

Colorectal carcinoma (CRC) is a malignant tumor of the digestive system. Cancer-associated fibroblasts (CAFs) are important cellular elements in the tumor microenvironment of CRC, which contribute to CRC progression and immune escape. To predict the survival outcome and therapeutic responses of CRC patients, we identified genes connected with stromal CAF and generated a risk model. In this study, we used multiple algorithms to reveal CAF-related genes in the Gene Expression Omnibus and The Cancer Genome Atlas datasets and construct a risk model composed by prognostic CAF-associated genes. Then, we evaluated whether the risk score could predict CAF infiltrations and immunotherapy in CRC and confirmed the expression of the risk model in CAFs. Our results showed that CRC patients with high CAF infiltrations and stromal score had worse prognosis than those with low-CAF infiltrations and stromal score. We obtained 88 stromal CAF-associated hub-genes and generated a CAF risk model consisting of ZNF532 and COLEC12. Compared with low-risk group, the overall survival in high-risk group was shorter. The relationship between risk score, ZNF532 and COLEC12, and stromal CAF infiltrations and CAF markers was positive. In addition, the effect of immunotherapy in the high-risk group was not as good as that in the low-risk group. Patients with the high-risk group were enriched in chemokine signaling pathway, cytokine-cytokine receptor interaction, and focal adhesion. Finally, we confirmed that the expressions of ZNF532 and COLEC12 in risk model were widely distributed in fibroblasts of CRC, and the expression levels were higher in fibroblasts than CRC cells. In conclusion, the prognostic CAF signature of ZNF532 and COLEC12 can be applied not only to predict the prognosis of CRC patients but also to evaluate the immunotherapy response in CRC patients, and these findings provide the possibility for further development of individualized treatment for CRC.
Research on Network Behavior Risk Measurement Method Based on Traffic Analysis
Authors: Wang Qiyao , Zhao Xiaolin , Guo Jiong , Xue Jingfeng , Zhao Bin
Published: April 2023

At present, the network security problem is facing a serious threat, and network security events continue to occur. It has become an important link to prevent network attacks and ensure network security. According to the network security protection measures and security technical requirements, it has become an urgent need to establish appropriate security measurement methods and strengthen the monitoring and analysis of network security status. This study proposes a network behavior risk measurement method based on traffic analysis to accurately and objectively evaluate the security state of the network. Traffic is the most basic behavior of the network and the basis of security risk measurement. Firstly, we regard the traffic data as network behavior to build scenarios. Through differential manifold modeling, the traffic data and topology of the network system are semantically described to form a matrix. Then, after manifold dimensionality reduction, the objective risk assessment value can be obtained by manifold mapping and Riemann metric. In this study, the differential manifold theory is applied to network behavior risk measurement, and the innovation of differential manifold in the field of network behavior risk measurement is given. After giving the network behavior risk measurement theory, we first verify the effectiveness of the proposed method through the simulation experiments. Secondly, the public CIC-IDS-2017 data set is used for analysis and calculation to prove the accuracy of the proposed method.
State-Flow Control Based Multistage Constant-Current Battery Charger for Electric Two-Wheeler
Authors: Balamurugan P. , Agarwal Prakhar , Khajuria Devashish , Mahapatra Devbrat , Angalaeswari S. , Natrayan L. , Mammo Wubishet Degife
Published: April 2023

Battery charging is a greater challenge in the emerging electric vehicle domain. A newer multistage constant-current (MSCC) charging technique encompassing state-flow control tool-based design is implemented for charging the battery of an electric two-wheeler. MSCC method allows for faster charging and reduced battery degradation per charge. The designed controller incorporates line current power factor correction, thereby limiting the total harmonic distortion (THD) in line current and reactive power. The control strategy for battery charging has been developed using the state flow chart approach for implementing MSCC. The model has been formulated and implemented in MATLAB/Simulink. The proposed control monitors the state-of-charge (SOC) of the battery, age, and thermal behavior due to the charging strategy. The results show that the proposed charging technique with a state flow control approach gives effective and efficient output with reduced THD. Simulation results disclose that the desired parameters are controllable, stable, and effective within the operational limits.
Clinical Effects and Safety of Auricular Acupressure as an Adjunct Therapy on Postoperative Pain among Patients with Hip Fracture: A Meta-Analysis
Authors: Li Pin , Chen Hongyun , Fu Xiuzhen , Zhou Haili , Lai Fan
Published: April 2023

Objectives. To evaluate the short-term outcome of treatment by auricular acupressure (AA) on postoperative pain among hip fracture (HF) patients. Methods. A systematic search for randomized controlled trials on this topic was conducted through May 2022 by searching multiple English and Chinese databases. The methodological quality of the included trails was assessed by the Cochrane Handbook tool, and relevant data were extracted and statistically analyzed by RevMan 5.4.1 software. The quality of the evidence supporting each outcome was evaluated by GRADEpro GDT. Results. Fourteen trials with a total of 1390 participants were included in this study. Compared with conventional treatment (CT) alone, the combination of AA and CT had a significantly greater effect on the visual analog scale at 12 h (MD −0.53, 95% CI −0.77 to −0.30), 24 h (MD −0.59, 95% CI −0.92 to −0.25), 36 h (MD −0.07, 95% CI −0.13 to −0.02), 48 h (MD −0.52, 95% CI −0.97 to −0.08), and 72 h (MD −0.72, 95% CI −1.02 to −0.42), amount of analgesics used (MD −12.35, 95% CI −14.21 to −10.48), Harris Hip Score (MD 6.58, 95% CI 3.60 to 9.56), effective rate (OR 6.37, 95% CI 2.68 to 15.15), and adverse events (OR 0.35, 95% CI 0.17 to 0.71). Conclusions. Compared with CT alone, the combination of AA and CRT had a significantly greater effect on postoperative pain in HF patients. However, trails with a rigorous methodology, including standard protocols for AA and multiethnic subjects, are still needed.
Design and Application of Intelligent Construction Quality Inspection System Based on BIM-RFID
Authors: Huo Hai’e , Ji Yanhong , Xie Kuihua , Lu Yu
Published: April 2023

Building information modeling (BIM) and radio-frequency identification (RFID) technologies can assist with problems in the construction quality inspection process, such as difficulties with the intelligent positioning of components, data replication, and insufficient feedback information during rework and maintenance. A novel technology BIM-FRID-integration is competent for multiparticipant information sharing in construction sector by collecting, transmitting and processing the quality defect information found in the construction process. In this study, an intelligent positioning inspection system to ensure building quality was developed using leading BIM software (Autodesk Revit in a Microsoft Visual Studio environment) and RFID handheld terminal devices. To verify the effectiveness of the framework proposed in this paper, the system was applied to a practical project, and its modeling, unique identifier (UID) components, and other information generation and export processes were analyzed. The results demonstrated that the BIM-RFID-integrated building quality intelligent inspection system proposed in this paper could realize the correlation and interaction between the BIM model and the entity component information as well as accurately locate any components with quality problems and provide quick feedback of quality inspection information and visual construction annotation disclosures.
Mechanical Property of Lateral Piles for Pile Composite Foundation Loaded by Model Test
Authors: Feng Chen-xi , Yuan Hang , Zhou De-quan , Du Peng , Wang Chuang-ye , Yang Qiu-ling , Pang Fei , Jing Min , Yu Hui-xian
Published: April 2023

Under vertical load, the composite foundation may be damaged due to insufficient lateral restraint capacity. If the lateral restraint pile is added to the edge of the composite foundation, the lateral stability can be effectively enhanced. This new reinforcement scheme is called a combined composite foundation. For the combined composite foundation, the lateral restraint piles will bear a certain force when the composite foundation is loaded, and the force may cause the piles horizontal displacement, instability, or even failure. After preload on the composite foundation, the mechanical behavior of lateral restraint piles will be more sophisticated. To study the mechanical behavior of lateral restraint piles under such condition, a laboratory model test was conducted. The results are suggested as follows: Axial force distribution curves tend to be “S” shape with two peak values at the upper and lower parts, respectively. The negative axial force is distributed at the upper part, and the positive axial force is distributed at the lower part. The bending moment and lateral soil pressure distribution of piles appear with the regularity of “increase-decrease” along the depth. Such a phenomenon is associated with the expansion of a potential slip surface. In accordance with the relative location of the potential slide surface and the piles, the lateral restraint piles can fall into three sections. Different sections get different stresses. The reinforcement scopes have an impact on the stress of different lateral restraint piles. With the increase of the reinforcement scope, the axial force, soil pressure, and bending moment show the regularity of increase. The values of axial force, the lateral soil pressure, and the bending moment increase with load growth and become stable when the load is larger than 60 kN. This is associated with the piles in the composite foundation, which verifies the reinforcement effect to prevent the soil slide and the foundation deformation.
Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm
Authors: Son Pham Vu Hong , Khoi Luu Ngoc Quynh
Published: April 2023

The purpose of this research study is to solve a four-objective optimization problem in the construction industry using a hybrid model that combines the slime mould algorithm (SMA) with opposition-based learning. This hybrid model is known as the adaptive opposition slime mould algorithm (AOSMA). Two typical construction projects have introduced time, cost, quality, and safety trade-off (TCQS), which are the factors that have the greatest influence on the completion of a construction project and are represented by optimal results and obtained at Pareto, in order to better illustrate the potential of the proposed model. In order to compare AOSMA with a nondominated sorting genetic algorithm III (NSGA III), multiobjective particle swarm optimization (MOPSO), LHS-based NSGA III, and a hybrid model of MAWA (MAWA-TLBO, MAWA-GA, MAWA-AS, and MAWA-ACS-SGPU) and to assess the model’s potential and viability, performance evaluation indexes are applied. To assist project managers in planning time, cost, quality, and safety for construction investment projects, this study creates a hybrid model.
Insights into the Roles of B Cells in Patients with Sepsis
Authors: Dong Xijie , Tu Hao , Qin Shuang , Bai Xiangjun , Yang Fan , Li Zhanfei
Published: April 2023

Sepsis is a life-threatening yet common disease, still posing high mortality worldwide. Sepsis-related deaths primarily occur during immunosuppression; the disease can hamper the numbers and function of B cells, which mediate innate and adaptive immune responses to maintain immune homeostasis. Dysfunction of B cells, along with aggravated immunosuppression, are closely related to poor prognosis. However, B cells in patients with sepsis have garnered little attention. This article focuses on the significance of B-cell subsets, including regulatory B cells, in sepsis and how the counts and function of circulating B cells are affected in patients with sepsis. Finally, potential B-cell-related immunotherapies for sepsis are explored.
Study of Seasoning Powder Processing from Gray Abalone Mushroom
Authors: Tran Nhi Yen Thi , Vu Duc Ngoc , Dang Le Truong , Huynh Long Bao , Nguyen Anh Viet Van , Dao Tan Phat
Published: April 2023

The gray abalone mushroom is a rich source of amino acids and carbohydrate compounds, with some biological activities and antioxidants. Nowadays, the variety of food additives on the market such as sodium glutamate (E621), sodium guanylate (E627), or sodium insonate (E631), could probably cause negative effects for people’s health. This study used gray abalone mushrooms to create naturally derived seasoning products without using flavor enhancers and synthetic compounds. The gray abalone mushroom was pretreated and dried at 60°C until attaining the moisture content of <5%, while the biological activity and antioxidant values were kept optimal. The mixture ingredients, including 5% abalone mushroom powder, 2% baby cornstarch, and other seasoning ingredients, were uniformly ground. The based-gray abalone mushroom powder that was packed in PE with the moisture content below 3% displayed stability in terms of quality throughout 90 days. Gray abalone mushroom seasoning powder contributed to creating safe, natural products as well as improving consumers’ health.
Architecture of Deep Convolutional Encoder-Decoder Networks for Building Footprint Semantic Segmentation
Authors: Norelyaqine Abderrahim , Azmi Rida , Saadane Abderrahim
Published: April 2023

Building extraction from high-resolution aerial images is critical in geospatial applications such as telecommunications, dynamic urban monitoring, updating geographic databases, urban planning, disaster monitoring, and navigation. Automatic building extraction is a massive task because buildings in various places have varied spectral and geometric qualities. As a result, traditional image processing approaches are insufficient for autonomous building extraction from high-resolution aerial imaging applications. Automatic object extraction from high-resolution images has been achieved using semantic segmentation and deep learning models, which have become increasingly important in recent years. In this study, the U-Net model was used for building extraction, initially designed for biomedical image analysis. The encoder part of the U-Net model has been improved with ResNet50, VGG19, VGG16, DenseNet169, and Xception. However, three other models have been implemented to test the performance of the model studied: PSPNet, FPN, and LinkNet. The performance analysis through the intersection of union method has shown that U-Net with the VGG16 encoder presents the best results compared to the other models with a high IoU score of 83.06%. This research aims to examine the effectiveness of these four approaches for extracting buildings from high-resolution aerial data.
Isolation and Characterization of Porcine Sapelovirus from the PDCoV-Positive Sample and Its Molecular Epidemiology in Henan Province, China
Authors: Zhang Yunfei , Li Qianqian , Si Lulu , Gao Junlong , Yuan Jin , Xia Lu , Hu Hui
Published: April 2023

Porcine sapelovirus (PSV) is an emerging swine enteric virus that can cause various disorders including acute diarrhea, respiratory distress, reproductive failure, and polioencephalomyelitis in pigs. In this study, we isolated a PSV strain HNHB-01 from a clinical porcine deltacoronavirus- (PDCoV-) positive intestinal content of a diarrheic piglet. PSV was first identified using the small RNA deep sequencing and assembly, and further identified by the electron microscopic observation and the immunofluorescence assay. Subsequently, this virus was serially passaged in swine testis (ST) cells, and the complete genomics of PSV HNHB-01 passage 5 (P5), P30, P60, and P100 were sequenced and analyzed. 9 nucleotide mutations and 7 amino acid changes occurred in the PSV HNHB-01 P100 strain when compared with the PSV HNHB-01 P5. Pathogenicity investigation showed that orally inoculation of PSV HNHB-01 P30 could cause obvious clinical symptoms and had broad tissue tropism in 5-day-old piglets. Epidemiological investigation revealed that PSV infections and the coinfections of diarrhea coronaviruses were highly prevalent in swine herds. The complete genomes of 8 representative PSV epidemic strains were sequenced and analyzed. Phylogenetic analysis revealed that the PSV epidemic strains were closely related to other PSV reference strains that located in the Chinese clade. Furthermore, recombination analysis revealed that the recombination events were occurred in downstream of the 2C region in our sequenced PSV HNNY-02/CHN/2018 strain. Our results provided theoretical basis for future research studies of the pathogenic mechanism, evolutionary characteristics, and the development of vaccines against PSV.
Supplementary Table 1 from Somatic Exonic Deletions in RUNX1 Constitutes a Novel Recurrent Genomic Abnormality in Acute Myeloid Leukemia
Authors: Eriksson Anna , Engvall Marie , Mathot Lucy , Österroos Albin , Rippin Martin , Cavelier Lucia , Ladenvall Claes , Baliakas Panagiotis
Published: April 2023

Supplementary Table 1
Supplementary Table S3 from SALVO: Single-Arm Trial of Ipilimumab and Nivolumab as Adjuvant Therapy for Resected Mucosal Melanoma
Authors: Kottschade Lisa A. , Pond Gregory Russell , Olszanski Anthony J. , Zakharia Yousef , Domingo-Musibay Evidio , Hauke Ralph J. , Curti Brendan D. , Schober Sarah , Milhem Mohammed M. , Block Matthew Stephen , Hieken Tina , McWilliams Robert R.
Published: April 2023

Related Treatment Adverse Events
Supplementary Table S1 from SALVO: Single-Arm Trial of Ipilimumab and Nivolumab as Adjuvant Therapy for Resected Mucosal Melanoma
Authors: Kottschade Lisa A. , Pond Gregory Russell , Olszanski Anthony J. , Zakharia Yousef , Domingo-Musibay Evidio , Hauke Ralph J. , Curti Brendan D. , Schober Sarah , Milhem Mohammed M. , Block Matthew Stephen , Hieken Tina , McWilliams Robert R.
Published: April 2023

Adverse Events Per Patient
Supplementary Figure S3 from An Immune-Related Gene Expression Signature Predicts Benefit from Adding Atezolizumab to FOLFOXIRI plus Bevacizumab in Metastatic Colorectal Cancer
Authors: Antoniotti Carlotta , Boccaccino Alessandra , Seitz Robert , Giordano Mirella , Catteau Aurélie , Rossini Daniele , Pietrantonio Filippo , Salvatore Lisa , McGregor Kimberly , Bergamo Francesca , Conca Veronica , Leonetti Simone , Morano Federica , Papiani Giorgio , Tamburini Emiliano , Bensi Maria , Murgioni Sabina , Ross Douglas Teller , Passardi Alessandro , Boquet Isabelle , Nielsen Tyler J. , Galon Jérôme , Varga Matthew Gordon , Schweitzer Brock L. , Cremolini Chiara
Published: April 2023

Kaplan Meier estimates of progression-free survival in the pMMR population (optimized cut-point), according to IO status (a) and to both IO status and treatment arm (b). Legend: HR: hazard ratio, NR: not reached. Control arm indicates FOLFOXIRI plus bevacizumab. Atezo arm indicates FOLFOXIRI plus bevacizumab and atezolizumab.
Supplementary Figure S1 from SALVO: Single-Arm Trial of Ipilimumab and Nivolumab as Adjuvant Therapy for Resected Mucosal Melanoma
Authors: Kottschade Lisa A. , Pond Gregory Russell , Olszanski Anthony J. , Zakharia Yousef , Domingo-Musibay Evidio , Hauke Ralph J. , Curti Brendan D. , Schober Sarah , Milhem Mohammed M. , Block Matthew Stephen , Hieken Tina , McWilliams Robert R.
Published: April 2023

Study flow diagram
Supplementary Table S8 from Osimertinib and Selpercatinib Efficacy, Safety, and Resistance in a Multicenter, Prospectively Treated Cohort of EGFR-Mutant and RET Fusion-Positive Lung Cancers
Authors: Rotow Julia , Patel Jyoti D. , Hanley Matthew P. , Yu Helena , Awad Mark , Goldman Jonathan W. , Nechushtan Hovav , Scheffler Matthias , Kuo Chih-Hsi S. , Rajappa Senthil , Harada Guilherme , Clifford Sarah , Santucci Alison , Silva Laura , Tupper Rebecca , Oxnard Geoffrey R. , Kherani Jennifer , Drilon Alexander
Published: April 2023

Combination therapy efficacy
Supplementary Figure 1 from Co-Clinical Study of [fam-] Trastuzumab Deruxtecan (DS8201a) in Patient-Derived Xenograft Models of Uterine Carcinosarcoma and Its Association with Clinical Efficacy
Authors: Yagishita Shigehiro , Nishikawa Tadaaki , Yoshida Hiroshi , Shintani Daisuke , Sato Sho , Miwa Maiko , Suzuki Mikiko , Yasuda Masanori , Ogitani Yusuke , Jikoh Takahiro , Yonemori Kan , Hasegawa Kosei , Hamada Akinobu
Published: April 2023

Growth curve
Supplementary Table S2 from Osimertinib and Selpercatinib Efficacy, Safety, and Resistance in a Multicenter, Prospectively Treated Cohort of EGFR-Mutant and RET Fusion-Positive Lung Cancers
Authors: Rotow Julia , Patel Jyoti D. , Hanley Matthew P. , Yu Helena , Awad Mark , Goldman Jonathan W. , Nechushtan Hovav , Scheffler Matthias , Kuo Chih-Hsi S. , Rajappa Senthil , Harada Guilherme , Clifford Sarah , Santucci Alison , Silva Laura , Tupper Rebecca , Oxnard Geoffrey R. , Kherani Jennifer , Drilon Alexander
Published: April 2023

Prior tyrosine kinase inhibitor (TKI) therapy details
Supplementary Figure S2 from Osimertinib and Selpercatinib Efficacy, Safety, and Resistance in a Multicenter, Prospectively Treated Cohort of EGFR-Mutant and RET Fusion-Positive Lung Cancers
Authors: Rotow Julia , Patel Jyoti D. , Hanley Matthew P. , Yu Helena , Awad Mark , Goldman Jonathan W. , Nechushtan Hovav , Scheffler Matthias , Kuo Chih-Hsi S. , Rajappa Senthil , Harada Guilherme , Clifford Sarah , Santucci Alison , Silva Laura , Tupper Rebecca , Oxnard Geoffrey R. , Kherani Jennifer , Drilon Alexander
Published: April 2023

Durable combination therapy benefit