bluuebunny/crossref_metadata_2025 huggingface dataset:
Second-grade nanofluid flow above a vertical slandering Riga surface with double diffusion model
Authors: Nadeem Sohail , Tumreen Maryam , Ishtiaq Bushra , Abbas Nadeem , Shatanawi Wasfi
Published: August 2022

The research of non-Newtonian fluids has gained the attention of scientists because of its assorted uses in biological sciences, drug reduction, damping device production and industry. Second-grade nanofluid is one of the non-Newtonian fluids. This study includes the study of second-grade nanofluid flow passing through a stretchable vertical Riga surface of variable thickness. Thermal conductivity and viscosity are taken as variables, as the function of temperature. For heat transfer, this study includes the influences of thermophoresis and Brownian motion. The Cattaneo–Christov double diffusive (CCDD) model is considered and buoyancy forces’ effects are examined. The governing equations are converted to the nonlinear ordinary differential equations (ODEs) to solve these equations easily. The solution is obtained using the MATLAB package with its bvp4c technique. Consequences of different parameters like second-grade fluid parameter modified Hartmann number, thermal time relaxation parameter, concentration time parameter, variable thermal conductivity parameter, buoyancy forces, Brownian motion parameter, Schmidt number and thermophoresis parameter are interpreted through graphs and tables. This research exposes that Buoyancy forces’ parameters have antagonistic behavior on velocity curves. Depreciation in temperature and concentration is also noted with the rise in thermal time relaxation and concentration time relaxation.
Construction of optical pulses and other solutions to optical fibers in absence of self-phase modulation
Authors: Younas Usman , Ren Jingli
Published: August 2022

This paper investigates the optical solitons to the Biswas–Arshed equation (BAE) with third-order dispersion and self-steepening coefficients that communicate pulse propagation in fiber optics. The equation is considered where self-phase modulation is negligibly small and hence removed. Under different constraint conditions, the extended Fan sub-equation method (EFSEM) is used to derive the different kinds of solutions in the forms of bright, dark, singular, complex and combined solitons. In addition, Jacobi elliptic function (JEF) periodic, hyperbolic-type solutions are secured. This technique is useful for solving NLPDEs because it combines the results of numerous operations to provide previously extracted solutions as well as fresh solutions. While describing the physical representation of particular solutions, we also plot 3D, and 2D graphs by picking appropriate values for the solutions’ related parameters. On the basis of a comparison of our results with well-known ones, the study indicates that our answers are innovative. Nonlinear dynamical behavior of a particular system can be improved and the methodology applied can be shown to be effective by these findings. Engineering modelers will greatly benefit from this study, according to our opinion. Based on the results obtained, the computational method adopted is efficient and direct, as well as succinct and can be applied to complex systems.
Investigating thermal properties of Kr Gas for temperatures [120–180] K using static fluctuation approximation
Authors: Akour Abdulrahman , Jaradat Emad
Published: August 2022

Particular thermal properties of internal energy, entropy, specific heat capacity and pressure are indicated using static fluctuation approximation (SFA) for specified temperatures and densities where the interaction between particles is still valid. This ab initio study starts initially from the most reliable krypton interatomic potential and develops with complementary SFA assumptions that depend mainly on substituting the local field mean value instead of its operator, thus developing a numerical solution of a nonlinear close set equation by iteration technique. The results are matched with the ideal gas and show a considerable sense.
One conjecture on cut points of virtual links and the arrow polynomial of twisted links
Authors: Deng Qingying
Published: August 2022

Checkerboard framings are an extension of checkerboard colorings for virtual links. According to checkerboard framings, in 2017, Dye obtained an independent invariant of virtual links: the cut point number. Checkerboard framings and cut points can be used as a tool to extend other classical invariants to virtual links. We prove that one of the conjectures in Dye’s paper is correct. Moreover, we analyze the connection and difference between checkerboard framing obtained from virtual link diagram by adapting cut points and twisted link diagram obtained from virtual link diagram by introducing bars. By adjusting the normalized arrow polynomial of virtual links, we generalize it to twisted links. We show that it is an invariant for twisted link. Finally, we figure out three characteristics of the normalized arrow polynomial of a checkerboard colorable twisted link, which is a tool of detecting checkerboard colorability of a twisted link. The latter two characteristics are the same as in the case of checkerboard colorable virtual link diagram.
The ground state properties of some exotic nuclei studied by the two-body model
Authors: Abdullah Ahmed N.
Published: August 2022

The ground state properties including the density distributions of the neutrons, protons and matter as well as the corresponding root mean square (rms) radii of proton-rich halo candidates 8B, [Formula: see text]N, [Formula: see text]Al and [Formula: see text]P have been studied by the single particle Bear–Hodgson (BH) wave functions with the two-body model of [Formula: see text]. It is found that the rms radii of these proton-rich nuclei are reproduced well by this model and the radial wave functions describe the long tail of the proton and matter density distributions. These results indicate that this model achieves a suitable description of the possible halo structure. The plane wave Born approximation (PWBA) has been used to compute the elastic charge form factors.
The role of the orbitals to construct a terminating state of the A ∼ 160 mass region
Authors: Shayestefar Mohadese , Kardan Azam
Published: August 2022

In a terminating band, the nucleon number changes in a specific orbital not only lead to deformation changes of the band but also the type of the band termination is impressed. In this work, we consider the role of the orbitals near the Fermi surface in some of the nuclei with [Formula: see text]; such as Dy ([Formula: see text]), Ho ([Formula: see text]) and Er ([Formula: see text]) isotopes. Our results show that the contribution of the number of the proton holes in the core is very effective to energy cost at the end of the rotational bands and then, termination type. Change the number of the protons on high-[Formula: see text] orbitals ([Formula: see text]) in [Formula: see text] isotones and also, the neutrons on high-[Formula: see text] [Formula: see text] and low-[Formula: see text] [Formula: see text] neutron orbitals do not affect in the type of termination. They cause only to move up or down the terminating bands in energy.
EFFECTS OF PROXIMAL HUMERAL FRACTURE TREATMENTS ON POSTOPERATIVE OUTCOMES
Authors: LI KAI , QIU XUZHONG , HUANG HAIJUN , ZHANG YUN , SHEN HAO , CHANG JIHUI , ZHANG SHUANG , KUANG JIANGMING , YANG JINING
Published: August 2022

This study investigated the effect of two surgical treatment schemes on complex proximal humeral fractures. We included 60 patients with complex proximal humeral fractures admitted to the People’s Hospital of Zhongjiang County, China, from May 2016 to May 2017. The patients were randomly divided into group A (30 cases; intramedullary nail fixation) or group B (30 cases; plate internal fixation) to compare the therapeutic effects. We used Neer’s scoring system to calculate an acceptability ratio and assess pain six weeks after surgery. The acceptability ratio was 80.0% in group A and 93.3% in group B, and the ratio did not differ between the groups ([Formula: see text]). In groups A and B, 56.7% and 50% of patients were without pain, respectively; this rate did not differ between the groups ([Formula: see text]). Our results indicate that both methods are suitable for treating complex proximal humeral fractures. However, in practice, surgeons should select the most appropriate treatment method based on the actual fracture to ensure the best postoperative outcome with the least amount of pain.
MINING OF CLASSIC CHINESE MEDICINE PRESCRIPTIONS FOR CARDIOVASCULAR AND CEREBRO-VASCULAR DISEASES FOR PRECISION MEDICINE
Authors: WANG XUEFEI , HUANG TINGTING , WANG FEI , JIANG YANLIN , HAN CHAOYUE , WANG XINYUE , YUAN CHENDI , XIANG YUHONG , SHAO ZEGUO
Published: August 2022

Traditional Chinese medicine (TCM) prescription has the characteristic of “one person, one prescription”. Mining the rules of its prescriptions can be helpful for clinical diagnosis and treatment and reflects “Precision Medical”. Taking the classic Chinese medicine prescriptions for cardiovascular and cerebrovascular diseases as samples, the author discussed the mining process of prescription rules and the methods and techniques of data preprocessing. The machine learning method is used to construct a mining model of prescription rules based on set relations, and the similarity between prescriptions is calculated, and the “Mean-Link” clustering algorithm is used for clustering. The results showed that 14 kinds of TCM prescriptions for cardiovascular and cerebrovascular diseases, such as hypertension and coronary heart disease, were grouped into four categories in terms of prescription compositions among which the cluster composed of HFP (Heart Failure Prescription), SHYF (Siheyifang), WSJXD (Wenshen Jiuxin Decoction) poly as one category, prescription HP1 (Hypotensive Prescription), SSP (Sinus Syndrome Prescription), YQJND (Yiqi Jiannao Decoction) cluster into one category, the similarity of the two types is 0.21, is the highest value. In terms of prescription indications, they are clustered into four groups, among which the HFP and WSJXD are clustered into one category, and the similarity is 0.60, the highest value. The results of the comprehensive composition and indication clustering can be seen: (1) BWJYD (Bawei Jiangya Decoction), TMGTD (Tianma Gouteng Decoction); (2) HP1, AP (Anemia Prescription), MVD (Myocardial Vital Drink); (3) HFP, WSJXD; (4) SSP, YQJND. The treatment prescriptions between the two diseases in these four groups have the significance of mutual reference and reference.
Geometrical and dynamical description of two interacting spins under the XXZ-type Heisenberg model
Authors: Elfakir Jamal , Amghar Brahim , Daoud Mohammed
Published: August 2022

We consider a physical system consisting of two interacting spins governed by the [Formula: see text]-type Heisenberg Hamiltonian in an external magnetic field. We investigate the quantum evolution and the Riemannian geometry of the two-spin state space by means of the relevant Fubini–Study metric. The geometrical phase accumulated by the two-spin state is also examined under arbitrary and cyclic evolutions. By computing the evolution speed and the corresponding geodesic distance, we solve the quantum brachistochrone problem. The entanglement between the two spins is also studied via two approaches: the first one deals with the entanglement effect on the Fubini–Study metric and the geometrical phase, while the second one treats the entanglement effect on the evolution speed and the corresponding geodesic distance. Finally, we solve the quantum brachistochrone problem using the entanglement degree.
Traversable wormhole models in modified theories of gravity
Authors: Shweta  , Sharma Umesh Kumar , Mishra Ambuj Kumar
Published: August 2022

In this paper, we explore traversable wormhole solutions in different cases of modified [Formula: see text] theories of gravity. We have taken the functional form [Formula: see text], where [Formula: see text] is Ricci scalar and [Formula: see text] is the trace of energy momentum tensor, while [Formula: see text] and [Formula: see text] are constants. The different forms of [Formula: see text]-gravity in [Formula: see text], [Formula: see text] frameworks and [Formula: see text] gravity are analyzed with its geometric behavior. The energy conditions are also discussed in the isotropic scenario using EoS [Formula: see text] and hybrid shape function [Formula: see text], where [Formula: see text] is the throat radius. In this investigation, we found that quadratic geometric term and linear trace term of [Formula: see text] gravity and hybrid shape function play a significant contribution to validate the energy conditions for nonexotic wormhole solutions.
A technical report on a novel robotic lower limb rehabilitation device - Is ROBERT® a cost-effective solution for rehabilitation in Hong Kong?
Authors: Chan Alan
Published: August 2022

A shortage of physiotherapist (PT) manpower is a barrier for providing better rehabilitation service in Hong Kong. Quality training can benefit patients with better recovery, on the contrary, insufficient training may cause a longer length of stay, readmission, and thus the burden of healthcare system. The estimated cost for PT services in Hospital Authority was HK$7.0 Billion in 2020. A novel Danish robot with a 7-joint robotic arm became popular in Denmark and Germany in the last two years. The robot is designed for lower limb patient rehabilitation. It can enhance the mobility of patients. Based on the experience of a university hospital in Denmark, this robotic rehabilitation was well accepted by both patients and PTs. Function-wise, the robot provides many clinical benefits to patients, especially stroke ones. A physiotherapist’s time can be saved when the robot is being used. The cost-effectiveness of ROBERT[Formula: see text] is better than PT performing repetitive exercises for lower limbs. The robot potentially provides a cost-effective solution to the Hong Kong healthcare system.
A short note about 1-width of Lens spaces
Authors: Batista Márcio , Lima Anderson
Published: August 2022

In this note, we explore the nature of Lens spaces to study the first width of those spaces, more precisely, we use the existence of a sharp sweep out associated to a Clifford torus to provide a simple and pretty application of the Willmore conjecture for the computation of the [Formula: see text]-width of Lens spaces.
A state space modeling for proactive management in equity investment
Authors: Takahashi Akihiko , Takahashi Soichiro
Published: August 2022

This paper proposes a novel state-space approach to explain stock market dynamics driven by different types of trading, which leads to a new promising scheme for proactive risk management in financial investment. Particularly, it is assumed that the current price changes are formulated through daily trading by multiple types of traders, each of whom follows a specific investment strategy based on technical indicators and a fuzzy logic using past data of stock prices, volumes and yield curves. Moreover, the current price changes are represented by a linear combination of those multiple trading types, where the coefficients corresponding with the size of impact on the price changes are regarded as time-varying state variables to be sequentially estimated under a state-space framework. Thereby, this work develops a new factor decomposition method on price changes from a perspective of different traders’ demand and supply to analyze the current situations and potential risks in financial markets. In empirical experiments, it is shown that the implementation of particle filtering algorithm makes it possible to replicate market price changes. Further, new signals based on the estimated states are developed, which are applied to proactive risk management in financial investment. Especially, it has been found that the demands of yield curve-based traders subtracting those of trend-followers could be a promising signal of stock market crashes, which has successfully enhanced simple buy-and-hold strategy of SP, as well as constant proportion strategies.
Significant Features and Applications of Drones for Healthcare: An Overview
Authors: Javaid Mohd , Haleem Abid , Khan Ibrahim Haleem , Singh Ravi Pratap , Suman Rajiv , Mohan Sanjay
Published: August 2022

The revolutionary digital technology of drones, also known as unmanned aerial vehicles (UAVs), has altered healthcare. This technology proved highly effective for healthcare, research, start-ups, and large corporations. Various drones are used across the industries such as infrastructure, transportation, insurance, telecommunications, agriculture, media and entertainment, security, and mining. Drones have been utilized to help the medical industry for several years, with numerous start-up firms with considerable investment-testing innovative methods. This new drone delivery network will give healthcare practitioners and the communities they serve better access to critically needed therapeutic goods. Compared to traditional approaches, drones to map disaster zones give better cost savings and faster reaction times. Drones can immediately deploy, provide high-resolution and three-dimensional (3D) mapping, identify hotspot locations with the most damage, and upload data in real-time to coordinate rescue operations. This study is mainly about drones and their primary functions. Devoted features and various aspects associated with drone technology for healthcare are briefly discussed and, finally, significant applications of drones for healthcare are identified and discussed. The COVID-19 pandemic has brought to light several long-hidden health disparities worldwide. Drones have resulted in innovation, such as the unprecedented success of developing new vaccinations at record speed. Drones can distribute vaccinations in low-income countries, lowering transportation costs and increasing immunization rates. People are now receiving good care, and the medical infrastructure is also improving, which is made possible by drone technology.
Industry 4.0: The Case-Study of a Global Supply Chain Company
Authors: Honorato Cezar , de Melo Francisco Cristóvão Lourenço
Published: August 2022

The technological evolution that enterprises are facing is increasingly fast and dynamic, demanding more and more flexibility and agility in the application of new technologies in an increasingly globalized and competitive business environment. This work has a broad view of the industry 4.0 influence in the global supply chain companies, as it is essential for long-term business sustainability and one of the key drivers of profitability and growth. The model proposed in this research effort considers the application in the processes of a global supply chain enterprise, which includes from the beginning of the demand request, also the industrial activities, to the post-sale analysis; finally, an unprecedented indicator was developed to measure the level of application of industry 4.0 concepts in organizations according to the state-of-the-art in the evaluated processes. Then, the model was applied to the real case of a global high-tech supply chain company. The first findings demonstrate the ease of understanding and applicability of the model for companies to analyze the digital transformation in their processes and identify gaps to convert them into real opportunities to leverage their business.
A Training Exoskeleton for Rehabilitation in Upper Extremity for Stroke Patients
Authors: Faiz Sohaib , Waris Asim , Mushtaq Shafaq , Khan Niaz B. , Jameel Mohammed , Galal Ahmed M.
Published: August 2022

With the aim of recovery and training of the patients suffering from osteoarthritis, muscular dystrophy and stroke, we present a design and validation model of a mechanical rehabilitation device for the hand. The objective is to bring together the advances in mechanism effectiveness, reduced size, simpler assembly, and lower manufacturing costs. As a result, the proposed exoskeleton employs a minimal number of components and has a very simplistic design. Moreover, training on the designed hand should reduce spasticity, paresis and recover the tone of the muscle. The designed device can deliver motions that include opening/closing, pronation/supination of the hand and flexion/extension of the hand as well as the arm. This work will focus toward increasing DOF, cost-effectiveness and some modifications in the design to ease assembly. Three servo motors and a linear actuator were used virtually to obtain four different motions. 3D designing of the parts, parts assembly, simulation and studies like kinematic, dynamic and static were carried out. Static analysis of the device shows the device is able to carry the loads without any fracture or deformation. Preliminary results obtained through motion curves show this device is able to deliver all the required motions smoothly without facing any dead point.
Grammar Compression by Induced Suffix Sorting
Authors: Nunes Daniel S. N. , Louza Felipe A. , Gog Simon , Ayala-Rincón Mauricio , Navarro Gonzalo
Published: August 2022

A grammar compression algorithm, called GCIS, is introduced in this work. GCIS is based on the induced suffix sorting algorithm SAIS, presented by Nong et al. in 2009. The proposed solution builds on the factorization performed by SAIS during suffix sorting. A context-free grammar is used to replace factors by non-terminals. The algorithm is then recursively applied on the shorter sequence of non-terminals. The resulting grammar is encoded by exploiting some redundancies, such as common prefixes between right-hands of rules, sorted according to SAIS. GCIS excels for its low space and time required for compression while obtaining competitive compression ratios. Our experiments on regular and repetitive, moderate and very large texts, show that GCIS stands as a very convenient choice compared to well-known compressors such as Gzip 7-Zip; and RePair the gold standard in grammar compression; and recent compressors such as SOLCA, LZRR, and LZD. In exchange, GCIS is slow at decompressing. Yet, grammar compressors are more convenient than Lempel-Ziv compressors in that one can access text substrings directly in compressed form without ever decompressing the text. We demonstrate that GCIS is an excellent candidate for this scenario, because it shows to be competitive among its RePair based alternatives. We also show that the relation with SAIS makes GCIS a good intermediate structure to build the suffix array and the LCP array during decompression of the text.
Using creative digital technologies in aphasia rehabilitation
Authors: Marshall Jane , Roper Abi , Neate Timothy , Cruice Madeline , Wilson Stephanie
Published: August 2022

Aphasia (language impairment) is common after stroke with negative impacts on all modes of communication. This article describes novel technologies developed at City, University of London, aiming to facilitate creative self-expression in people with aphasia. Outcomes from community workshops are summarised, in which people with aphasia trialled the technologies and gave feedback on them. Possible reasons for the success of the technologies are discussed.
Tuning the Catalytic Activity of Bifunctional Cobalt Boride Nanoflakes for Overall Water Splitting over a Wide pH Range
Authors: Ghafar Fatma Abdel , Etherton Dior , Liu Shaomin , Buckley Craig E. , English Niall J. , Silvester Debbie S. , Sofianos M. Veronica
Published: August 2022

The world is in the process of transitioning towards a more sustainable energy future, with green hydrogen considered an attractive energy vector that can replace fossil fuel consumption, meeting global energy demands. To date, the most advanced method to produce green hydrogen is through water electrolysis using the residual supply of renewable energy. The current state-of-the-art catalysts used in electrolyzers are platinum-based metals and ruthenium/iridium oxides. The scarceness of these elements, combined with their high price, make these catalysts not economically viable for largescale production of hydrogen through water electrolysis. This study presents cobalt boride nanoflakes as materials to be used in both the anode and the cathode of an electrolyzer for electrochemical water splitting over a wide pH range. The cobalt boride nanoflakes were synthesized by the chemical reduction of CoCl2 using NaBH4 at three different concentrations to obtain CoB and Co2B nanoflakes. CoB nanoflakes exhibited both a higher specific surface area and greatest disparity in charge between B and Co, in comparison to Co2B. It was demonstrated that by tuning the properties of the cobalt boride nanoflakes, higher catalytic activities for both the hydrogen and oxygen evolution reaction can be achieved, showing good overall stability.
Mechanism and kinetics of Gold Nanoparticles Electrodeposited from Au (III) Ions Dissolved in a Deep Eutectic Solvent and Its Analytical Performance Towards Dopamine Quantification
Authors: Godoy-Colin E. , Corona-Avendaño S. , Ramírez-Silva M. T. , Aldana-Gonzalez J. , Vázquez-Huerta G. , Ángeles-Beltrán D. , Romero-Romo M. , Palomar-Pardavé M.
Published: August 2022

The mechanism and kinetics of the electrochemical nucleation and growth of gold nanoparticles, AuNPs, onto a glassy carbon electrode, GCE, from Au(III) dissolved in the reline deep eutectic solvent, DES, at 70 °C, were assessed, for the first time. From the potentiodynamic technique it was found that gold electrodeposition onto the GCE substrate (Au(III)DES + 3e−
(GCE) = Au(s)/GCE) is a diffusion-controlled process that requires of an overpotential nucleation to occur. The potentiostatic current density transients, recorded at different applied overpotentials, during the electrodeposition of AuNPs were described by a mechanism where multiple nucleation of 3D gold centers with mass-transfer controlled growth, occurs simultaneously with Au(III) adsorption (at the early stages) and the DES residual water reduction on the growing surfaces of the Au nuclei. From this analysis the diffusion coefficient of Au(III) ions was estimated as (2.56 ± 0.12) × 10−9 cm s−1 and it was found that the number density of Au nuclei, N
s, depends exponentially on the applied overpotential while the nucleation frequency, A, was practically constant and the water reduction contribution increases linearly. From SEM images and EDX spectrum of the GCE surface, electrodeposited with gold (GCE/AuNPs), it was found that the Au deposit was formed by aggregates, (183 ± 37) nm average size, of AuNPs (of ca 50 nm diameter) and a density of (1.8 ± 0.3) × 109 aggregates cm−2. The GCE/AuNPs was used for the Dopamine, DA, electrochemical quantification in the presence of uric acid, UA, with the following analytical performance: sensitivity of (32.49 ± 0.37) μA mM−1 and (28.6 ± 0.2) μM detection limit.
Synergism of Mo-Dopant and Ag Nanoparticles for Methanol Oxidation on Photoanodes
Authors: Pan Zhijie , Huang Pengwei , Zhang Yuanming , Fu Xionghui , Zhu Yi
Published: August 2022

Photoelectrocatalytic methanol oxidation to formaldehyde by using electric/solar energy is a promising technology. In this work, Ag nanoparticles were decorated on Mo-doped BiVO4 to synthesize Ag/Mo: BiVO4 catalyst. As expected, benefitting from Mo-dopant and plasmonic effect of Ag nanoparticles, formaldehyde production of Ag/Mo: BiVO4 photoanode was 2.2 times higher than pristine BiVO4 photoanode. Faradaic efficiency increased from 19% to 49% in comparison with the pure BiVO4 photoanode.
Effects of Ionic Size and Hydrophobicity on Charging Dynamics at Microporous Pt
Authors: Kim Jinju , Shin Jinsik , Yang Hyun Ju , Kang Chung Mu , Han Donghoon , Bae Je Hyun
Published: August 2022

Nanoporous electrodes with extremely small pores have been developed for improved supercapacitors and electroanalysis. Ion transport into nanoconfined spaces has been studied using nanoporous carbon. Herein, we explore the size effect and hydrophobicity of ions on the charging dynamics using microporous Pt by cyclic voltammetry and electrochemical impedance spectroscopy. As the size of the effective hydrated ions decreased, the capacitance increased, and the movement of ions into and within the nanopores was less restricted. The effect of ionic size was more pronounced for hydrophobic organic cations than for hydrophilic alkali cations in microporous Pt. In addition, the microporous Pt electrode exhibited better performance in terms of capacitance and charging dynamics than the mesoporous carbon electrode when the hydrophilic electrolyte is dissolved in an aqueous solution. These findings provide insight into the formation of an electrical double layer at microporous metal electrodes and their applications in supercapacitors, electrocatalysts, and electroanalysis.
Cullin 3 mutant causing familial hyperkalemic hypertension lacks normal activity in the kidney
Authors: Maeoka Yujiro , Cornelius Ryan J. , Ferdaus Mohammed Zubaerul , Sharma Avika , Nguyen Luan T. , McCormick James A.
Published: August 2022

CUL3 mutation (CUL3-Δ9) causes familial hyperkalemic hypertension (FHHt) by reducing adaptor KLHL3, impairing substrate WNK4 degradation. Whether CUL3-Δ9 affects other targets in kidneys remains unclear. We found that CUL3-Δ9 cannot degrade two CUL3 targets, cyclin E and nuclear factor erythroid-2-related factor 2 (NRF2; using a surrogate marker NQO1), or rescue injury or polyuria caused by Cul3 disruption. In an FHHt model, CUL3-Δ9 impaired NRF2 degradation without reduction of its adaptor KEAP1. Our data provide additional insights into CUL3-Δ9 function in the kidney.
Metabolomic profiling reveals muscle metabolic changes following iliac arteriovenous fistula creation in mice
Authors: Khattri Ram B. , Kim Kyoungrae , Anderson Erik M. , Fazzone Brian , Harland Kenneth C. , Hu Qiongyao , Palzkill Victoria R. , Cort Tomas A. , O’Malley Kerri A. , Berceli Scott A. , Scali Salvatore T. , Ryan Terence E.
Published: August 2022

Creation of an arteriovenous fistula (AVF) is the preferred approach for dialysis access, but some patients experience hand dysfunction after AVF creation. In this study, we provide a detailed metabolomic analysis of the limb muscle in a murine model of AVF. AVF creation resulted in metabolite changes associated with an energetic crisis and myosteatosis that associated with limb function.
5-Fluorouracil disrupts skeletal muscle immune cells and impairs skeletal muscle repair and remodeling
Authors: VanderVeen Brandon N. , Cardaci Thomas D. , Madero Sarah S. , McDonald Sierra J. , Bullard Brooke M. , Price Robert L. , Carson James A. , Fan Daping , Murphy E. Angela
Published: August 2022

We examined the common chemotherapeutic 5-fluorouracil’s (5FU) impact on skeletal muscle immune cells and skeletal muscle repair. 5FU monotherapy decreased body weight and muscle mass, and perturbed skeletal muscle immune cells. In addition, 5FU decreased skeletal muscle immune cells and impaired infiltration following damage contributing to disrupted muscle repair. Our results demonstrate 5FU’s impact on skeletal muscle and provide a potential explanation for why some patients may be unable to properly repair damaged tissue.
A novel animal model to study delayed resuscitation following traumatic hemorrhage
Authors: Xiang Lusha , Calderon Alfredo S. , Klemcke Harold G. , Hinojosa-Laborde Carmen , Becerra Sandra C. , Ryan Kathy L.
Published: August 2022

A focus of combat casualty care research is to develop treatment where full resuscitation after hemorrhage is delayed. However, animal models of combat-related hemorrhagic shock in which to determine physiological outcomes of such delays and explore potential treatment for golden hour extension are lacking. In this study, we filled this knowledge gap by establishing a traumatic shock model with reproducible development of AKI and shock-related complications determined by the time of resuscitation.
CircEPSTI1 Promotes the Proliferation of HER2-Positive Breast Cancer Cells via circEPSTI1/miR-145/ERBB3 Axis
Authors: Zhang Yue , Tan Duxun , Xie Yi , Wu Linyu , Wu Song , Tang Yuhui , Luo Yongzhou , Xiao Xiangsheng , Li Xing
Published: August 2022

Breast cancer is the most common type of cancer worldwide. There are great challenges in the prevention and treatment of breast cancer. In this study, we explored the molecular and biological mechanisms of circular RNA circEPSTI1 (has_circ_0000479) in the regulation of HER2-positive breast cancer cells. The expression of CircEPSTI1, microRNA miR-145, and ERBB3 in HER2-positive breast cancer cells was evaluated by qRT-PCR and western blot assays. Cell proliferation was assessed by CCK-8. Wound-healing and transwell migration assays were performed to evaluate cell migration. A transwell invasion assay was performed to detect cell invasion. The interaction of miR-145, circEPSTI1, and ERBB3 was confirmed bydual-luciferase reporter and RIP assays. CircEPSTI1 was upregulated in the HER2-positive breast cancer tissues and cells. Knockdown of circEPSTI1 inhibited SKBR3 and BT474 cell proliferation, migration, and invasion. Mechanistically, circEPSTI1 directly targeted miR-145, and miR-145 was a downstream mediator of circEPSTI1 in modulating the proliferation, migration, and invasion of SKBR3 and BT474 cells. ERBB3 was identified as a direct and functional target of miR-145 in HER2-positive breast cancer cells. Our findings demonstrate that circEPSTI1, an overexpressed circRNA in HER2-positive breast cancer, promotes the proliferation, migration, and invasion of SKBR3 and BT474 cells through the miR-145/ERBB3 axis.
Tunnel Lining Defect Identification Method Based on Small Sample Learning
Authors: Zhu Anfu , Ma Congxiao , Chen Shuaihao , Wang Bin , Guo Heng
Published: August 2022

Aiming at the problem of insufficient number of samples due to the difficulty of data acquisition in the identification of tunnel lining defects, a generative adversarial network was introduced to expand the data, and the network was improved for the mode collapse problem of the traditional generative adversarial network and the problem that the generated image features were not obvious. On the basis of the WGAN-GP network, a deep convolutional network is selected as its backbone network, and the effectiveness of the deep convolutional network in feature extraction by Lv et al. (2022) is used to improve the quality of the images generated by the network. In addition, the residual module is introduced into the discriminator network, and the upsampling module is introduced into the generator network, which further solves the problem of gradient disappearance of the two networks during the update iteration process through the idea of cross-connection, while better retaining the underlying features, which effectively solves the problem of mode collapse and low quality of generated images in the generative adversarial network. Compared with the original network, the image quality of the generated adversarial network is improved, and the discriminator and generator losses converge faster. At the same time, the recognition accuracy of the YOLOv5 network is improved by 4.4% and the overfitting phenomenon is alleviated, which proves the effectiveness of the method under the limited training data set.
Ultrasensitive Detection of Lysozyme upon Conformational Change of DNA Duplex
Authors: Truong Phuoc Long , Thao Nguyen Thi Thu , Le Huyen Huynh Thi , Nguyen Thi Hiep
Published: August 2022

We report a simple, cost‐effective, and ultrasensitive approach for colorimetric detection of lysozyme based on target‐induced conformational change of DNA duplex. The detection method utilizes the interaction between DNA aptamer and its target leading to the dissociation of DNA aptamer from the DNA duplex and forms a structured complex. The complementary DNA that detached from the DNA duplex adsorbed on the AuNPs surface protects the nanoparticles against salt‐induced aggregation, resulting in maintaining the red dispersed state of AuNPs. Such an approach allowed the femtomolar detection of lysozyme with a wide linear scale ranging from 0.1 to 200 pM by simple spectroscopic analysis with detection time of ~40 min. In case of naked eye detection, the detection limit of nanoaptasensor corresponds to ~0.5 pM. The nanoaptasensor demonstrated high specificity with regard to lysozyme in the presence of a variety of nonspecific proteins. In case of lysozyme detection in simulated saliva samples, the average recoveries were in the range of 90.47 to 105.90%, with the relative standard deviations (RSD) of 3.45‐4.89% that suggests a good reproducibility. The results clearly indicated the reliability and applicability of the proposed assay for the simple and rapid detection of lysozyme in real samples. Compared with existing diagnostic assays, the proposed nanoaptasensor showed many advantages regarding simplicity, versatility, cost, and time for analysis. This approach demonstrated a great potential for ultrasensitive and on‐site analysis of a wide range of protein biomarkers using plasmonic nanoparticles.
Verification of Xiphoid Point as a New Measuring Point for Chest Shape Measurement
Authors: Zhao Yulin , Luh Dingbang , Sun Yue , Sun Fei
Published: August 2022

The measurement point of chest shape based on non-rigorous ergonomics is the key problem affecting the accuracy of measurement results. Xiphoid point, as a representative human skeleton point, can provide a theoretical basis for the development of new chest shape measurement methods and technology. In order to verify the stability of xiphoid point, 30 subjects were selected to measure the chest shape based on upper limb movement in the transverse plane of human body. The displacement of mastoid and xiphoid points in the sagittal plane, coronal plane, and axial plane was compared, and the factors influencing the displacement of mastoid and xiphoid points were analyzed. The results showed that the displacement of the mammary point was the largest in the coronal plane during the upper limb movement. The displacement of xiphoid point is far less than that of mastoid point. The displacement of the breast point is closely related to the chest circumference when the upper limb is in the horizontal adduction. There was a positive correlation between the displacement of xiphoid point and the amplitude of upper limb movement. Compared with mammary point, xiphoid point is a fixed and stable measurement point of chest shape.
[Retracted] Analysis of the Efficacy and Safety of Pulpitis Treated with Different Root Canal Flushing Fluids Based on VAS and Temporomandibular Joint Function
Authors: Ke Jianguo , Cai Qiaoling , Zhang Churen , Du Ou , Wang Feixiang , Luo Yu , Li Wenjin , Ou Dongchen
Published: August 2022

Pulpitis is one of the common diseases indicated by the department of stomatology that is located in the tooth and contains abundant nerve vessels. In order to evaluate the pain degree and functional recovery of patients after treatment by visual analogue pain scale (VAS) and temporomandibular joint function score, a retrospective analysis was performed on 128 patients diagnosed with pulpitis who received root canal treatment in the department of stomatology from January 2020 to March 2021. The results show that 3%NaClO combined with 0.9% sodium chloride injection can effectively relieve the pain degree of patients after treatment, and the antibacterial effect is significantly better than 3%H2O2 combined with 0.9% normal saline. Meanwhile, it can effectively improve the temporomandibular joint function and reduce the recurrence rate, which has good clinical application value.
Online Evaluation Method of College Students’ Mental Health Based on Campus Network Text Mining
Authors: Chen Dongrui , Wen Kate , Ke Ruida , Liu Jian
Published: August 2022

Aiming at the problem that the mental health of contemporary college students is affected by many parties, and the evaluation accuracy and evaluation effect are poor, an online evaluation method of college students’ mental health based on campus network text mining is proposed. Mining and analyzing the association rules of the association features between texts, analyzing the monitoring quantitative index of the online evaluation of college students’ mental health; based on the regional transfer coefficient of existing mental health text information, the influencing factors of college students’ mental health are determined, and the online evaluation model of college students’ mental health is constructed. The membership degree of the factors is comprehensively calculated, and the corresponding fuzzy consistent matrix is used to compare the quantitative results of the index scales, and the interval number judgment matrix is constructed, which corresponds to the interval number weight of each secondary evaluation index one-to-one. The weight of the indicators is divided into the mental health assessment level, and the online assessment of college students’ mental health is completed. The experimental results show that the evaluation accuracy of the design method is more than 97.36%, the recall rate is more than 97%, and the highest packet loss rate is less than 0.3%, which proves that the online evaluation results of college students in this method are more accurate and that the accuracy and effect of the online evaluation of college students’ mental health are improved.
Chronological Age Estimation of Male Occipital Bone Based on FTIR and Raman Microspectroscopy
Authors: Yu Kai , Xiong Hongli , Wei Xin , Wu Hao , Zhang Bo , Wang Gongji , Yang Xiaorong , Wang Zhenyuan
Published: August 2022

Age‐related changes in bone tissue have always been an important part of bone research, and age estimation is also of great significance in forensic work. In our study, FTIR and Raman microspectroscopy were combined to explore the structural and chronological age‐related changes in the occipital bones of 40 male donors. The FTIR micro‐ATR mode not only achieves the comparison of FTIR and Raman efficiency but also provides a new pattern for the joint detection of FTIR and Raman in hard tissue. Statistical analysis and PCA results revealed that the structure had little effect on the FTIR and Raman results. The FTIR and Raman mineral/matrix ratio, carbonate/phosphate ratio, crystallinity, and collagen maturity of the whole showed an increasing trend during maturation, and a significant correlation was found between FTIR and Raman by comparing four outcomes. Furthermore, the results indicated that the cutoff point of the change in the relative proportion of organic matrix and inorganic minerals in males was between 19 and 35 years old, and the changes in the relative proportion of organic matrix and inorganic minerals may play a key role in age estimation. Ultimately, we established age estimation regression models. The FTIR GA‐PLS regression model has the best performance and is more suitable for our experiment (RMSECV = 10.405, RMSEP = 9.2654, R2CV = 0.814, and R2Pred = 0.828). Overall, FTIR and Raman combined with chemometrics are an ideal method to estimate chronological age based on age‐dependent component changes in male occipital bones. Our experiment provides a proof of concept and potential experimental method for chronological age estimation.
Innovation of Visual Communication Design Based on Wireless Virtualization Network Architecture
Authors: Zhu Hua
Published: August 2022

With the continuous development of the times and the continuous development of science and technology, embedded technology is constantly improving and more and more innovative methods have broken the situation of traditional multimedia use and combined visual language with design models, which has promoted the development of culture and the development of science and technology. The purpose of this experiment is to design a new structure by combining it with an image processing system based on embedded technology. In the experiment, we will use the QT graphics interface to connect with another same system interface, according to the characteristics of embedded technology data and image processing, design a new interface model, make the image binary, and then use calculations to prove the new feasibility of the way. In this report, we showed some of the programming steps and fully explained the design and results of the model, but it took a long time. The result of the test is that the embedded technology has a long-term experimental value and application value because the system can process images in real time and collect and store data faster; the resolution of the obtained images is also higher, and less energy is lost.
Deep Learning‐Assisted Short‐Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU
Authors: Ullah Fath U Min , Ullah Amin , Khan Noman , Lee Mi Young , Rho Seungmin , Baik Sung Wook
Published: August 2022

Over the decades, a rapid upsurge in electricity demand has been observed due to overpopulation and technological growth. The optimum production of energy is mandatory to preserve it and improve the energy infrastructure using the power load forecasting (PLF) method. However, the complex energy systems’ transition towards more robust and intelligent system will ensure its momentous role in the industrial and economical world. The extraction of deep knowledge from complex energy data patterns requires an efficient and computationally intelligent deep learning‐based method to examine the future electricity demand. Stand by this, we propose an intelligent deep learning‐based PLF method where at first the data collected from the house through meters are fed into the pre‐assessment step. Next, the sequence of refined data is passed into a modified convolutional long short‐term memory (ConvLSTM) network that captures the spatiotemporal correlations from the sequence and generates the feature maps. The generated feature map is forward propagated into a deep gated recurrent unit (GRU) network for learning, which provides the final PLF. We experimentally proved that the proposed method revealed promising results using mean square error (MSE) and root mean square error (RMSE) and outperformed state of the art using the competitive power load dataset.(Github Code). (Github code: https://github.com/FathUMinUllah3797/ConvLSTM-Deep_GRU).
Simulation of Thermal Decomposition of Calcium Oxide in Water with Different Activation Energy and the High Reynolds Number
Authors: Memon Abid A. , Murtaza Saqib , Memon M. Asif , Bhatti Kaleemullah , Haque Mojammel , Ali Mohamed R.
Published: August 2022

In this article, we are going to suggest the parameters to control the thermal decomposition in a reactor that is continuously providing a cooling environment inside the tube. For this purpose, 5 governing partial differential equations gained through mass, momentum, and energy balance laws and one ordinary differential equation are used to simulate this chemical reaction with finite element package COMSOL Multiphysics 5.6. In the simulation, the thermal decomposition of calcium oxide in the water is controlled with the use of Reynolds numbers ranging from 100 to 1000, activation energy from 75,000 j/mol to 80,000 j/mol, and an initial concentration of 1% to 5%. The results are presented through the graphs and tables for conversion profile, temperature distribution, enthalpy change, diffusivity, the heat source of reaction, and Sherwood and Lewis number along the axial length of the reactor. Specifically, it was found a low‐speed profile at the inlet will give a 100% conversion at Re = 100 for 3% to 5% of the initial concentration. The maximum temperature and enthalpy change in the reactor are decreasing increase in the Reynolds number. Also, the decrement of the Sherwood number along the length showed that the mass diffusion is always dominant over convection‐diffusion for all cases of parameters. The validation is made by comparing the numerical results with the experimental correlations.