bluuebunny/crossref_metadata_2025 huggingface dataset:
Whole-grain Petri Nets and Processes
Authors: Kock Joachim
Published: August 2022

We present a formalism for Petri nets based on polynomial-style finite-set configurations and etale maps. The formalism supports both a geometric semantics in the style of Goltz and Reisig (processes are etale maps from graphs) and an algebraic semantics in the style of Meseguer and Montanari, in terms of free coloured props, and allows the following unification: for
P
a Petri net, the Segal space of
P
-processes is shown to be the free coloured prop-in-groupoids on
P
. There is also an unfolding semantics à la Winskel, which bypasses the classical symmetry problems: with the new formalism, every Petri net admits a universal unfolding, which in turn has associated an event structure and a Scott domain. Since everything is encoded with explicit sets, Petri nets and their processes have elements. In particular, individual-token semantics is native. (Collective-token semantics emerges from rather drastic quotient constructions à la Best–Devillers, involving taking π
0
of the groupoids of states.)
Can the fundamental principles of non-fiction writing be applied to fiction?
Authors: Yaffe Philip
Published: August 2022

Each "Communication Corner" essay is self-contained; however, they build on each other. For best results, before reading this essay and doing the exercise, go to the first essay "How an Ugly Duckling Became a Swan," then read each succeeding essay.

So-called "creative writing" (fiction) and "expository writing" (non-fiction) are often thought of as distinct (and even antithetical) disciplines. True, there are significant differences, but there are also significant similarities. These should not be ignored.
Reachability in timed automata
Authors: Srivathsan B
Published: August 2022

Given a timed automaton
A
and a control state
q
, does there exist a run of
A
that visits
q
? This problem of control state reachability in timed automata was posed in [Alur and Dill 1994] and is known to be PSPACE-complete. One does not hope to have efficient algorithms for this problem, in theory. Nevertheless, research in this subject over the last three decades has led to industry-strength award-winning tools implementing this problem. This topic continues to be an active area of research even now. In this article, we present one successful algorithmic framework for attacking this problem.
Complexity column
Authors: Bulatov Andrei
Published: August 2022

This quarter's
Complexity
column is devoted to the
Promise Constraint Satisfaction Problem (PCSP).
This framework was introduced relatively recently by Austrin, Guruswami and Håstad as a generalization of the
Constraint Satisfaction Problem
(
CSP
) that has received quite a bit of attention in the last three decades. Although the CSP captures many naturally occurring algorithmic problems and the CSP research has been very successful with the majority of research questions settled, there are still some important problems it does not capture. The PCSP was designed to fix that.
Deciphering the Structure Activity Relationship of Nickel Containing Materials towards Electrocatalytic Oxidation of Urea
Authors: Li Liang , Li Liuqiang , Huang Yuanxing , Zhao Junkai , Jin Yunjing , Yu Liu
Published: August 2022

Nickel based materials have been extensively reported to be highly effective for the electrochemical oxidation of urea in the wastewater, which are critical for the energy utilization as well as contamination elimination. In this study, two Ni containing materials of nickel-aluminum layered double hydroxides (NiAl-LDH) and metal organic framework (Ni-MOF) were synthesized and compared with Ni disk towards urea oxidation reaction (UOR). Physical characterization proved the existence of Ni with the same valence of +2 in the as-prepared catalysts. Moreover, the electrochemical analysis showed that more active Ni centers with surface concentrations of 1.01 × 10−6 and 1.17 × 10−6 mol cm−2 existed in both NiAl-LDH and Ni-MOF, which was significant higher than Ni disk of 3.74 × 10−7 mol cm−2. Moreover, Ni-MOF was found to be a better catalyst due to its lower activated energy, tafel slope & overpotential as well as higher stable current density and turnover frequency (TOF) value than NiAl-LDH. This phenomenon might be explained by the protection of Ni2+ by the lattice of layered double hydroxides, which led to an obstacle for its transformation to Ni3+ and thus obviously hindered UOR.
A Study on the Anodic Electrodeposition of Iridium Oxide on Different Substrates
Authors: Wu Dandan , Wang Xi , Wu Xu
Published: August 2022

The anodic electrodeposition process of iridium oxide on Ti, Pt, Au, and glassy carbon was investigated from cyclic voltammetry (CV), linear sweep voltammetry (LSV), chronoamperometry (CA), and electrochemical impedance spectroscopy (EIS). The electrocrystallization process of iridium oxide electrodeposition based on different substrates behaved consistent with the diffusion-controlled three-dimensional nucleation process, and a nucleation mode capable of expressing the process was established. Depending on the nucleation model parameters, the iridium oxide electrodeposition on Ti with the highest nucleation rate and active nucleation sites showed excellent nucleation performance, while the

k

O
E
R

value of the electrodeposition on Au is the largest, indicating that Au-base electrodeposited iridium oxide can support more favorable kinetics for OER. Furthermore, the morphology and chemical composition of the electrodeposited IrOx electrodes based on different substrates were characterized by scanning electron microscope (SEM) and X-ray photoelectron microscopy (XPS), and then measured through a series of electrochemical characterization experiments. Although the SEM image of IrOx layer electrodeposited on Ti is relatively uniform and have higher IrO2 content compared to other substrates, its electrocatalytic activity is poor, while the IrOx-Au electrode exhibits the best OER performance with a current density of 10 mA cm−2 and an overpotential of 0.2 V.
Glucagon receptor signaling at white adipose tissue does not regulate lipolysis
Authors: Vasileva Anastasiia , Marx Tyler , Beaudry Jacqueline L. , Stern Jennifer H.
Published: August 2022

It has been postulated that glucagon stimulates lipolysis and fatty acid release from white adipose tissue. We observed no metabolic effects of eliminating or activating glucagon receptor signaling at white adipose tissue.
Sensitivity of Nafion Films to Organic Substances, Especially Ketones
Authors: Lucero Alfredo Marquez , Orozco Miguel , Navarro Nancy , Collins Virginia
Published: August 2022

This work shows the possibility to employ sulfonated tetrafluoroethylene-based fluoropolymer-copolymer, commercially known as Nafion, as a sensible layer on sensors to detect organic solvents such as ketones. The detection and evaluation of ketone corpuses is very important for multiple applications on medicine, specially to detect and evaluate diabetes mellitus from the breath of patients. Nafion is a very stable copolymer, easily available and relatively inexpensive. This allows us to envision the possibility of having cheap and reliable sensors to detect vapors of these substances based on this copolymer. The main result of the present work is that Nafion can protonate gaseous ions from organic solvents, such as acetone and similar substances, which modify its electrical properties, presenting a differentiated behavior according to the chemical nature of these substances, which could lead to their identification, designing an electrical nose, because each behavior is a fingerprint of the substance to detect. Then, this material can be used in the design of electrical sensors, which can be inexpensive, reliable, and chemically stable, representing an excellent alternative to ceramic sensors.
Study on the Cultivation of College Students’ Internet Literacy in Ideological and Political Teaching under the Application of Virtual Reality Technology
Authors: Gan Muyi
Published: August 2022

People are living in an age of artificial intelligence. Artificially intelligent technology, such as virtual reality technology, is creating new horizons in every field. In this article, people are learning about the cultivation of Internet literacy among college in ideological and also in the political teaching under the application of virtual reality technology. Internet literacy is defined as the ability to search and utilise information from the Internet. It includes the person’s ability to communicate with people, the ability to protect their own privacy, and stay away from harmful and malicious content on the Internet. The basic computer skills, along with the ability to assess social media and search engines, the knowledge to handle Microsoft Office tools, send and receive emails, search for answers online, ask questions in forums, enrol in educational courses, etc., form the basis of Internet literacy. Ideological and political education is vital educational courses that need to be upgraded with the latest technological growth. The main idea of this proposed system is to cultivate Internet literacy among ideological and political education students by using VI technology. The model is found to deliver great results under the application of virtual reality technology. The proposed model implements a Back-Propagation Network Algorithm for the cultivation of Internet literacy among college students.
Conjecture Involving Arithmetic‐Geometric and Geometric‐Arithmetic Indices
Authors: Alsheekhhussain Zainab , Ali Akbar , Ramadan Rabie A. , Khedr Ahmed Y.
Published: August 2022

The geometric‐arithmetic (GA) index of a graph G is the sum of the ratios of geometric and arithmetic means of end‐vertex degrees of edges of G. Similarly, the arithmetic‐geometric (AG) index of G is defined. Recently, Vujošević et al. conjectured that a tree attaining the maximum value of the addition AG + GA or difference AG − GA of the AG and GA indices in the class of all n‐vertex molecular trees must contain at most one vertex of degree 2 and at most one vertex of degree 3, but not both, for every fixed integer n ≥ 11. In this paper, the aforementioned conjecture is p.
Smart Home Design Based on Computer Intelligent Simulation Analysis
Authors: Zhang Wenbo , Li Si
Published: August 2022

With the continuous development of the social economy, people from all walks of life attach great importance to the smart home design of artificial intelligence technology. In the context of the information age, people’s requirements for the quality of life are also gradually upgrading, and the requirements for home furnishing have also been upgraded from the traditional requirements of only living places to the expectation that a more intelligent, convenient, smart home has gradually been brought into life by people. The smart home system can integrate all control terminals into one system and implement on-site or remote control of home equipment using the computer terminal and mobile phone terminal, to realize the function of managing home equipment more conveniently and flexibly. Artificial intelligence technology as one of the important links adopts a structured design scheme to control and complete the design of the smart home system. Compared with most smart home systems on the market, this system also focuses on the safety precautions of the residential environment. It adopts infrared detectors for doors and windows and gravity sensing devices for indoor floors. The space-time barriers between home systems optimize and enhance the user’s living experience. The article first analyzes the architecture, mainstream technology, and characteristics of computer technology and then discusses the design and implementation of my country’s smart home system, providing strong support for subsequent research.
A New Sixth‐Order Finite Difference Compact Reconstruction Unequal‐Sized WENO Scheme for Nonlinear Degenerate Parabolic Equations
Authors: Li Liang , Zhang Yan , Zhu Jun
Published: August 2022

In this paper, a new sixth‐order finite difference compact reconstruction unequal‐sized weighted essentially nonoscillatory (CRUS‐WENO) scheme is designed for solving the nonlinear degenerate parabolic equations on structured meshes. This new CRUS‐WENO scheme only uses the information defined on three unequal‐sized spatial stencils, obtains the optimal sixth‐order accuracy in smooth regions, and preserves the second‐order accuracy near strong discontinuities. This scheme can be applied to dispose the emergence of the negative linear weights and avoid the application of the mapped function. The corresponding linear weights can be artificially set to be any random positive numbers as well as their summation is one. The construction process of this scheme is very simple and can be easily extended to higher dimensions, since the new compact conservative formulation is applied to approximate the second‐order derivatives. The new CRUS‐WENO scheme uses narrower large stencil than that of the same order finite difference classical WENO schemes. Therefore, it has a better compactness and smaller truncation errors. Some benchmark numerical tests including the porous medium equation and the degenerate parabolic convection‐diffusion equation are performed to illustrate the advantages of this new CRUS‐WENO scheme.
Clinical Comparison of the Volumetric Changes in Single Pontic Site Development through Connective Tissue Grafting Using Modified Pouch Technique versus Pouch Technique in the Maxillary Esthetic Zone: A Randomized Controlled Clinical Trial
Authors: Ammar Ahmed H. , Ahmed Enji , ElBarbary Ahmed , Ghalwash Dalia , Ezz Elarab Azza
Published: August 2022

Aim. The aim is to compare the volumetric changes between pouch technique versus the modified pouch technique in pontic site development using connective tissue graft in patients that have Seibert class I ridge defects in the maxillary esthetic zone. Methodology. This randomized, controlled, double-blinded, parallel-grouped clinical trial included sixteen patients with a single pontic site in the maxillary esthetic area presenting Seibert Class I ridge defects. Patients were randomly assigned into two equal groups: test group (n: 8) received soft tissue augmentation with connective tissue graft using the modified pouch technique and control group (n: 8) received soft tissue augmentation with connective tissue graft using pouch technique. The volumetric evaluation was carried out by taking impressions at baseline, 3 and 6 months after the surgery. Keratinized tissue thickness was also measured at baseline, 3 and 6 months after the surgery. Visual analogue scale (VAS) was recorded by the patients at day 3, day 7, and day 14 after the surgery. Results. The test group had more increase in soft tissue volume than the control group at baseline, 3 months, and 6 months. The keratinized tissue width at baseline in the test group had a higher value than that of the control group. At 3 months, both groups had the same mean value, while at 6 months, the test group had a higher value than the control group. Regarding postoperative pain, the visual analogue scale shown at day 3 in the test group had a higher value than that of the control group, while at day 7, the control group had a higher value than the test group. At day 14, both groups had the same mean value. Conclusions. Soft tissue augmentation using both the traditional pouch technique and the modified pouch technique led to successful soft tissue volume augmentation in pontic site development in Seibert Class I ridge defects with no statistically significant difference between the two techniques.
Design of Emergency Intelligent Terminals for Field Exploration Based on Intelligent Internet of Things Technology
Authors: Qiu Chengbai , Zhang Jun , Yu Jie
Published: August 2022

To solve the intelligent rescue design of field exploration, the design of field intelligent terminal is explored based on intelligent Internet of things technology. Through the system’s platform management, integration of internal information, and strengthening technology research and development, the system has successfully completed the deployment and implementation, which strongly supports the design of intelligent terminals for field exploration emergency rescue. Relevant technicians need to recognize the application and development trend of Internet of things technology in intelligent field emergency rescue scenarios and take various measures to promote it, so as to make it a better support and enrich intelligent field emergency rescue functions and provide better impetus for intelligent field emergency rescue and the construction of digital city. For the construction of the current intelligent field emergency rescue scene, the Internet of things technology plays a major role, which also shows that the system has better realized the predetermined function. The field intelligent rescue system makes good use of the shared location function, which can avoid accidents such as team members falling behind and also well identify the location of team members.
Simultaneous Bilateral Total Knee Arthroplasty in Elderly: Are There Factors that Can Influence Safety and Clinical Outcome?
Authors: Piovan G. , Screpis D. , Natali S. , Iacono V. , Baldini M. , Farinelli L. , Guerriero M. , Zorzi C.
Published: August 2022

Objective. The aim of this study was to look for preoperative patients’ related factors correlating with worse clinical outcomes in a cohort of elderly patients undergoing simultaneous bilateral total knee arthroplasty (SiBTKA) to search for risk factors, which may influence clinical outcomes and safety. Subjects and Methods. The hospital database was mined searching for patients older than 70 years that underwent SiBTKA for severe bilateral knee osteoarthritis (OA) between 2012 and 2016. Preoperative clinical information, Oxford Knee Score (OKS), and Knee Injury and Osteoarthritis Outcome Score (KOOS) prior to surgery were recorded. The OKS and the KOOS were submitted again after a minimum of 5 years of follow-up (FU). Results. An improvement was observed in all clinical scores at last FU. The major complication rate was 5.4%. No patients’ clinical data showed correlation with perioperative complications or need for transfusions. Functional scores at the last FU were negatively affected by age at surgery and positively affected by preoperative clinical scores. Discussion. In the setting of severe symptomatic bilateral knee OA, SiBTKA seems to be effective in improving symptoms at midterm follow-up, with acceptable rates of perioperative complications in patients older than 70. Higher age at surgery and lower preoperative functional scores are associated with worse clinical outcomes at FU. This could assist surgeons in advising patients that delay of surgical treatment could worsen outcomes.
Electrochemical Application of Structured Color Nanotextile Materials in Garment Design
Authors: Zhang Zekai
Published: August 2022

In order to improve the color saturation of textile structured chromogenic photonic crystals, this paper proposes that the dye adsorbed PSt structural elements (reactive dyes/PSt microspheres) on the outer surface can be used to construct electrochemically structured chromogenic photonic crystals on mulberry fabrics by digital printing. In this method, the adsorption conditions and adsorption model of dyes on the surface of PSt colloidal microspheres were studied. The structure and morphology of reactive dyes/PSt microspheres, the arrangement of the obtained photonic crystals, and the structural chromogenic effect were characterized. The results showed that the amount of dye adsorbed on the surface of microspheres increased significantly with the increase of adsorption temperature from 25°C to 65°C. When the adsorption temperature continued to rise to 75°C, the dye adsorption capacity on the surface of PSt microspheres did not increase significantly. The adsorption model accords with the Langmuir model; reactive dye/PSt microspheres have a typical core-shell structure, and the particle size of the microspheres is slightly larger than that before adsorption. Conclusion. The reactive dye/PSt photonic crystal chromogenic electrochemical structure constructed on the surface of white silk fabric has a regular and orderly arrangement of microspheres, showing bright structural color.
Ellagic Acid as a Potential Inhibitor against the Nonstructural Protein NS3 Helicase of Zika Virus: A Molecular Modelling Study
Authors: Kullappan Malathi , Benedict Balakrishnan Anna , Rajajagadeesan Anusha , Baskaran Padmasini , Periadurai Nanthini Devi , Ambrose Jenifer Mallavarpu , Gandhamaneni Sri Harshini , Nakkella Aruna Kumari , Agarwal Alok , Veeraraghavan Vishnu Priya , Surapaneni Krishna Mohan
Published: August 2022

Zika virus is a member of the Flaviviridae family and genus Flavivirus, which has a phylogenetic relationship with spondweni virus. It spreads to humans through a mosquito bite. To identify potential inhibitors for the Zika virus with biosafety, we selected natural antiviral compounds isolated from plant sources and screened against NS3 helicase of the Zika virus. The enzymatic activity of the NS3 helicase is associated with the C‐terminal region and is concerned with RNA synthesis and genome replication. It serves as a crucial target for the Zika virus. We carried out molecular docking for the target NS3 helicase against the selected 25 phytochemicals using AutoDock Vina software. Among the 25 plant compounds, we identified NS3 helicase‐ellagic acid (‐9.9 kcal/mol), NS3 helicase‐hypericin (‐9.8 kcal/mol), and NS3 helicase‐pentagalloylglucose (‐9.5 kcal/mol) as the best binding affinity compounds based on their binding energies. To understand the stability of these complexes, molecular dynamic simulations were executed and the trajectory analysis exposed that the NS3 helicase‐ellagic acid complex possesses greater stability than the other two complexes such as NS3 helicase‐hypericin and NS3 helicase‐pentagalloylglucose. The ADMET property prediction of these compounds resulted in nontoxicity and noncarcinogenicity.
[Retracted] lncRNA Vgll3 Regulates the Activated Proliferation of Mouse Myocardial Fibroblasts through TGF‐β3‐Related Pathway
Authors: Liu Bing , Chen Miao , Meng Wei
Published: August 2022

Background. Cardiac fibrosis is a risk factor leading to various cardiac diseases, and its mechanism has not been clarified. However, long noncoding RNA (lncRNA) can mediate the pathological process of cardiac fibrosis. Objective. This study is aimed at determining the pathological role of lncRNA Vgll3 in cardiac fibrosis and explore its potential mechanism. Methods. Myocardium fibroblasts (CFs) were isolated from mice and stimulated with angiotensin II (Ang‐II). The expression of Vgll3 and transforming growth factor‐β3 (TGF‐β3) were detected by real‐time fluorescence quantitative PCR (qPCR). Double luciferase reporter gene and western blot analysis (WB) were used to detect the effect of Vgll3 on TGF‐β3 expression. The qPCR and WB were used to detect TGF‐β3 pathway markers such as TGF‐β3 and SMAD4, as well as cardiac fibrosis markers such as α‐smooth muscle actin (α‐SMA), fibronectin (Fn), and type I collagen (Col1). The proliferation of CFs in mice was analyzed by Cell Counting Kit‐8 (CCK8) and 5‐bromo‐2‐deoxyuracil (EdU) method. Results. Upregulation of Vgll3 promoted the expression of TGF‐β3 and its downstream molecules in mouse CFs, while silencing of Vgll3 inhibited the TGF‐β3 pathway. Upregulation of Vgll3 significantly promoted the activation and proliferation of mouse CFs cells. It promoted the mRNA and protein levels of α‐SMA, Fn, Col1, and Col3, while silencing the expression of Vgll3 had the opposite effect. The above effects of upregulation of Vgll3 were counteracted by TGF‐β3 knockdown intervention. Conclusion. Vgll3 can promote the activation and proliferation of CFs in mice by activating TGF‐β3‐related pathway.
Tuning Mechanical Properties of Polymeric Hydrogels Using Orthogonally Functionalized Crosslinkers
Authors: Liu Bin , Hou Zhaoyan , Bao Yi , Hua Lei , Wang Xiao , Li Yuanyuan , Zhou Lanying , Lv Zhuo
Published: August 2022

A unique orthogonal crosslinker-induced hydrogel, whose mechanical strength can be tunable by the crosslinker topology upon thermal treatment, is described herein. The crosslinker containing cationic moieties and crosslinkable styrenyl groups was employed for the preparation of orthogonally crosslinked hydrogels having ionic and covalent characteristics. The manipulation of the orthogonal crosslinkers topology and the ionic bond strength between cationic and anionic moieties facilitated the control of the mechanical properties. Short-term temporal modulation of hydrogel moduli, a key factor of the substrates for cell development, was demonstrated and could provide dynamic microenvironment for biological process. In addition, on-demand control of the elastic properties of the hydrogels by application of a thermal stimulus provides new avenues to regulate cell growth. Furthermore, the orthogonality of the crosslinkers allowed molecular functionalization of a wide range of molecules of interest to the hydrogels by thiol-ene Michael addition (nucleophilic addition of sulfhydryl and carbon-carbon double bonds) in a friendly manner as demonstrated in our work.
Coadministration of Stigmasterol and Dexamethasone (STIG+DEX) Modulates Steroid-Resistant Asthma
Authors: Hohoayi Abigail , Antwi Aaron O. , Amoah Veronica , Osafo Newman , Sampene Paul P. O. , Ainooson George
Published: August 2022

Airway inflammation in asthma is managed with anti-inflammatory steroids such as dexamethasone (DEX). However, about 20% of asthmatics do not respond to this therapy and are classified as steroid-resistant. Currently, no effective therapy is available for steroid-resistant asthma. This work therefore evaluated the effect of a plant sterol, stigmasterol (STIG), and stigmasterol-dexamethasone combination (STIG+DEX) in LPS-ovalbumin-induced steroid-resistant asthma in Guinea pigs. To do this, the effect of drugs on inflammatory features such as airway hyperreactivity and histopathology of lung tissue was evaluated. Additionally, the possible pathway of drug action was assessed by measuring events such neutrophil levels, oxidative and nitrative stress, and histone deacetylase 2 (HDAC2) and interleukin 17 (IL-17) levels. STIG alone did not affect inflammatory features, although it caused some changes in the molecular events associated with steroid-resistant asthma. However, STIG+DEX caused significant modulation of inflammatory features by protecting against destruction of lung tissue. The modulation of inflammatory features was associated with significant inhibition of neutrophilia and oxidative and nitrative stress, decrease in HDAC2, and increase in IL-17 levels that are usually associated with steroid-resistant asthma. Our findings show that although STIG and DEX individually do not protect against steroid-resistant asthma, their coadministration results in significant modulation of inflammatory features and the associated molecular events that lead to steroid-resistant asthma.
Cohort Study Summary of the Effects of Carboprost Tromethamine Combined with Oxytocin on Infant Outcome, Postpartum Hemorrhage and Uterine Involution of Parturients Undergoing Cesarean Section
Authors: Gong Xiaoyan , Wu Xiaohui
Published: August 2022

Background. Carboprost tromethamine injection has a high safety factor in clinical application and has a good effect on uterine smooth muscle and vasoconstriction. Carboprost aminobutyriol combined with oxytocin may be beneficial to infant outcome and uterine involution after cesarean section. Objective. To investigate the effects of carboprost tromethamine combined with oxytocin on infant outcome, postpartum hemorrhage, and uterine involution in parturients undergoing cesarean section. Methods. A total of 120 parturients undergone cesarean section in our hospital from February 2019 to April 2021 were selected as the object of study. The parturients were randomly divided into control group (

n
=
60

) and research group (

n
=
60

). The control group was treated with oxytocin, and the research group was treated with carboprost aminobutyriol combined with oxytocin. The amount of maternal bleeding, uterine floor decline index, the end of lochia, poor rate of uterine involution, infant outcome, and the incidence of adverse drug reactions were compared between the two groups. Results. The amount of bleeding in the research group was significantly lower than that in the control group (

P
<
0.05

). The position of the last uterine floor and the index of uterine floor downward movement in the research group were significantly higher than those in the control group (

P
<
0.05

). The disappearance time of bloody lochia and serous lochia in the research group was significantly shorter than that in the control group (

P
<
0.05

). The end time of lochia in the research group was higher than that in the control group, and the rate of uterine involution in the research group was lower than that in the control group (

P
<
0.05

). The neonatal weight and Apgar score in the research group were higher than those in the control group, and the hospitalization rate of neonatal ICU in the research group was significantly lower than that in the control group. The incidence of adverse reactions in the research group was significantly lower than that in the control group (

P
<
0.05

). Conclusion. Carboprost aminobutyriol combined with carbestatin can effectively prevent the occurrence of bleeding after cesarean section, improve uterine involution, and improve neonatal birth quality, which is worth popularizing.
Lactic Acid Regulation: A Potential Therapeutic Option in Rheumatoid Arthritis
Authors: Wang Qianlei , Asenso James , Xiao Ning , Gao Jinzhang , Xiao Feng , Kuai Jiajie , Wei Wei , Wang Chun
Published: August 2022

Rheumatoid arthritis (RA) is a chronic, persistent autoimmune disease that causes severe joint tissue damage and irreversible disability. Cumulative evidence suggests that patients suffering from RA for long durations are at risk of functional damage to cardiovascular, kidney, lung, and other tissues. This seriously affects the quality of work and life of patients. To date, no clear etiology of RA has been found. Recent studies have revealed that the massive proliferation of synoviocytes and immune cells requires a large amount of energy supply. Rapid energy supply depends on the anaerobic glucose metabolic pathway in both RA animal models and clinical patients. Anaerobic glycolysis can increase intracellular lactic acid (LA) content. LA induces the overexpression of monocarboxylate transporters (MCTs) in cell membranes. MCTs rapidly transport LA from the intracellular to the intercellular or articular cavity. Hence, a relatively high accumulation of LA could be formed in the intercellular and articular cavities of inflammatory joints. Moreover, LA contributes to the migration and activation of immune cells. Immune cells proliferate and secrete interleukins (IL) including IL-1, IL-2, IL-13, IL-17, and other inflammatory factors. These inflammatory factors enhance the immune inflammatory response of the body and aggravate the condition of RA patients. In this paper, the effects of LA on RA pathogenesis will be summarized from the perspective of the production, transport, and metabolism of synoviocytes and immune cells. Additionally, the drugs involved in the production, transport, and metabolism of LA are highlighted.
New Fractal Soliton Solutions and Sensitivity Visualization for Double-Chain DNA Model
Authors: Hassan Zara , Raza Nauman , Abdel-Aty Abdel-Haleem , Zakarya Mohammed , Rahman Riaz Ur , Yasmeen Adeela , Muse Abdisalam Hassan , Mahmoud Emad E.
Published: August 2022

This article discusses dynamics of the fractal double-chain deoxyribonucleic acid model. This structure contains two long elastic homogeneous strands that serve as two polynucleotide chains of deoxyribonucleic acid molecules, bounded by an elastic membrane indicating hydrogen bonds between the base pairs of two chains. The semi-inverse variational principle and auxiliary equation method are employed to extricate soliton solutions. The collection of retrieved exact solutions includes bright, dark, periodic, and other solitons. The constraint conditions emerge naturally which ensure the presence of these solutions. Additionally, 2D and 3D graphs showing the impact of fractals on solutions are included. These plots use appropriate parameter values. Furthermore, sensitivity analysis of the considered model is also acknowledged. The outcomes reveal that these techniques are reliable, effective, and applicable to various biological systems.
Music Genre Classification Based on Deep Learning
Authors: Zhang Wenlong
Published: August 2022

Human music life can be traced back to ancient times. The music art of human society is rich and colorful, which makes the music classification unable to classify efficiently and accurately. Moreover, the classification has become a daunting task. On this basis, this paper studies the method of deep learning for processing music classification. Not only is the design structure of music signal channel classified, but also all connected neural networks associated with the music are investigated to design an appropriate network model. According to different music sequence measurements, the feature sequence mechanism of music design feedback optimization is also investigated. The type probabilities of different calculated orbits are measured by softmax activation function, and the function value of cross loss is obtained. Finally, an Adam optimization algorithm is used as the optimization algorithm of the proposed network model. Subsequently, an independent adaptive learning planning rate is designed. By adjusting the network parameters, the first- and second-order estimates of the calculated gradient are classified. The experimental outcomes prove that the anticipated method can meritoriously increase the correctness of music classification and is helpful for music channel classification. Moreover, we also observed that the number of neurons in the network has also a significant impact over the training and testing errors.
High‐Temperature Conductive Stability of ITO/Pt Bilayer‐Film Electrode for Applications in High‐Temperature SAW Devices
Authors: Li Haiou , Mou Kairui , Peng Bin , Deng Yanrong , Liu Xingpeng , Ta Shiwo , Yang Zhao , Sun Tangyou , Zhang Fabi , Li Qi , Xiao Gongli , Fu Tao , Chen Yonghe
Published: August 2022

Surface‐acoustic‐wave (SAW) devices have been widely investigated over many years as demand has grown for information sensing above 1000°C. At such high temperatures, metal electrode creep occurs, thereby causing the transformation of an electrode from a continuous uniform film to a discontinuous film with hollows or isolated grains. In this study, 100 nm thick ITO conductive oxide film is deposited on 100 nm thick Pt film to form an ITO/Pt bilayer‐film composite electrode for high‐temperature SAW devices. According to this way, the conductive stability of the Pt film electrode at high temperature can be greatly improved. Compared with the initial value, the electrical conductivity of single‐layer 100 nm thick Pt film decreases to 65.4% with the area fraction of Pt at 64.1%. Meanwhile, the electrical conductivity of ITO/Pt bilayer‐film decreases to only 95% with the area fraction of Pt at 63.1%. Then, the enhancement of high‐temperature conductive stability can be attributed to the added ITO conduction channels. These findings demonstrate a potential route to design multilayer electrodes that can operate above 1000°C with promising applications in SAW devices needing to operate at high temperatures.
The Biocomplex Assembled from Antigen Peptide and Toll-like Receptor Agonist Improved the Immunity against Pancreatic Adenocarcinoma In Vivo
Authors: Feng Wenming , Yu Hongbin , Xue Tao , Wu Chunyong , Ren Fan , Cui Ge
Published: August 2022

Purpose. One of the biggest challenges in cancer immunotherapy is generating robust cancer-specific immunity. This work describes using a biocomplex assembled from a toll-like receptor agonist CpG oligodeoxynucleotide 1826 (CpG) and a pancreatic cancer antigen peptide mesothelin for tuning pancreatic tumor immunity. Methods. This biocomplex was assembled via electrostatic interactions and characterized in size, morphology, zeta potential, and cargo loading. The effect of biocomplex on cell viability and activation of DCs and macrophages were measured by flow cytometry. The production of cytokines (GM-CSF, TNF, and IL-6) was evaluated by using ELISA kits. The effect of biocomplex on tumor cell proliferation was also evaluated by in vivo tumor model. Result. We can modulate the surface charge of the biocomplex by simply varying the ratios of the two components. In cell models, this biocomplex did not impact cell viability in the antigen-presenting cell (i.e., dendritic cell and macrophage)-directed immunity. Moreover, this biocomplex regulated the secretion of tumor-related cytokines (i.e., GM-CSF, TNF, and IL-6) and promoted the activation of immune cell surface markers (i.e., CD80+, CD86+, and CD40+). In the mouse model, the biocomplex inhibited the tumor burden effectively and promoted the production of effector cytokines. Conclusion. The present studies showed that the biocomplex with antigen peptide and toll-like receptor agonist was able to potentiate the antitumor immunity in vivo. This study will help understanding of immunity in pancreatic cancer and developing new immune therapeutic strategies for pancreatic adenocarcinoma.
A Frobenius Norm Regularization Method for Convolutional Kernel Tensors in Neural Networks
Authors: Guo Pei-Chang
Published: August 2022

The convolutional neural network is a very important model of deep learning. It can help avoid the exploding/vanishing gradient problem and improve the generalizability of a neural network if the singular values of the Jacobian of a layer are bounded around 1 in the training process. We propose a new Frobenius norm penalty function for a convolutional kernel tensor to let the singular values of the corresponding transformation matrix be bounded around 1. We show how to carry out the gradient-type methods. This provides a potentially useful regularization method for the weights of convolutional layers.
Path Optimization and Logistics Economic Benefits Based on Sparsely Sampled GPS Trajectory Data
Authors: Lan Shundong
Published: August 2022

Affected by the technological revolution of the Internet and the rise of e-commerce, the logistics, and transportation industry has become the main artery of the economy, and higher requirements are placed on logistics and distribution. Nowadays, how to minimize the cost of logistics distribution is an important research goal of logistics economic benefits. To this end, this article investigates and discusses the logical distribution based on interval variables, and on the basis of previous studies, has carried out some fruitful research and attempts on the logical distribution model and solving algorithm. The beginning of this article explains the research background and the importance of this article. Analyzed and reviewed the current research status at home and abroad, and pointed out that the fuzzy and probabilistic methods used in previous studies to describe the variable assumptions used were too strong. The method used in this article to characterize interval variables does not need to know the probability distribution and density function that the variables obey, so it has more applicability. However, in view of the widespread popularity of sensor equipment and mobile communication equipment, more and more sparsely sampled trajectories, such as road patrol data, company employee check-in data, and base station data, are always poorly sampled for flight path data used to connect to mobile phones. The method of collecting this type of data is different from traditional GPS data and does not require items with GPS positioning equipment. The scanning width is much better than traditional trajectory data, but the scanning accuracy of a single object is insufficient. The intersection recognition method based on GPS trajectory data effectively improves the economic benefits of logistics transportation. In this paper, the study of sparsely sampled GPS trajectory data and intersection identification methods is applied to improve the economic efficiency of logistics and promote the development of the economic efficiency of logistics.
[Retracted] Load Prediction Model of Athletes’ Physical Training Competition Based on Nonlinear Algorithm Combined with Ultrasound
Authors: Zheng Zhiliang
Published: August 2022

In order to provide theoretical support and ideas for the “dose” of high‐stakes physical activity in athletics, the author has developed models for athletic competition based on nonlinear techniques together with ultrasound. Based on test data, average mean estimation method, and nonlinear regression model estimates, 52 points (46 test points, 6 point estimates) is enrolled in the highest voltage and maximum voltage measurement based on the BP neural network model. The estimation method was developed and the accuracy of the estimation of our estimation method was compared and evaluated using the estimation data. Experimental results show that the average relative error of the average estimate compared to the accuracy of the bench press was 25%, the standard estimate which is not linear regression is 31%, and BP neural network model estimation is 9%. Compared with the accuracy of the assumption of half squatting, the average relative error of the estimated velocity is 13%, the standard nonlinear regression estimate is 20%, and BP neural network model estimated method is 9%. The BP neural network predicts the method with the best performance and intelligence, but its actual functioning and application are complex. The average speed estimate is the most appropriate for use, but the equipment must be high. The process of estimating a linear regression model requires minimal equipment, but its prediction error is high.
Optimized Deep Neural Network and Its Application in Fine Sowing of Crops
Authors: Li Bing , Li Jiyun
Published: August 2022

Winter wheat is one of the most important food products. Increasing food demand and limited land resources have forced the development of agricultural production to be more refined and efficient. The most important part of agricultural production is sowing. With the promotion of precision agriculture, precision seeding has become the main component of modern agricultural seeding technology system, and the adoption of precision seeding technology is an important means of large-scale production and cost saving and efficiency enhancement. However, the current sowing technology and sowing equipment cannot meet the requirements of wheat sowing accuracy. In this context, a differential perturbation particle swarm optimization (DPPSO) algorithm is proposed by embedding differential perturbation into particle swarm optimization, which shows fast convergence speed and good global performance. After that the DPPSO is used to optimize the convolutional neural network (CNN) to build an optimized CNN (DPPSO-CNN) model and applied to the field of crops fine sowing. Finally, the experimental results show that the proposed method not only has a faster convergence rate but also achieves better wheat seeding performance. The research of this paper an effectively improves the accuracy and uniformity of wheat seeding and lay a foundation for improving wheat yield per unit area and promotes the intelligent development of agriculture in the future.
SBugLocater: Bug Localization Based on Deep Matching and Information Retrieval
Authors: Huang Xuxiang , Xiang Chen , Li Hua , He Peng
Published: August 2022

Bug localization is a technology that locates buggy source files using bug reports reported by users. Automatic localization of buggy files can speed up the process of bug fixing to improve the efficiency and productivity of software quality assurance teams. Nowadays, some research studies have investigated the natural language information retrieval technology, but few of them have applied the matching technology in deep learning to bug localization. Therefore, we propose a bug localization model SBugLocater based on deep matching and IR. The model composes of three layers: semantic matching layer, relevance matching layer, and IR layer. In particular, the relevance matching layer captures fine-grained local matching signals, while coarse-grained semantic similarity signals come from the semantic matching layer. Further, based on collaborative filtering in different directions, the IR layer works to find whether bug reports and source files are related, which indirectly transforms the matching task of different grammatical structures between bug reports and source files into the same structure and solves the mismatching problem of the first two matching models when the query is short. In our work, four benchmark data sets are used as experimental data sets and Accuracy@k, MAP, and MRR as evaluation metrics, which are used to compare and analyze the performance of bug localization with the four state-of-the-art methods. Experimental results show that SBugLocater outperforms the four models. For example, compared with the best of the four models, the evaluation metrics of Accuracy@10, MAP, and MRR are improved by 6.9%, 13.9%, and 17%, respectively.
Postearthquake Casualty Prediction Based on Heatmaps and Wavelet Supporting Vector Machines
Authors: Guo Jidong , Xi Menghao , Cheng Yong , Jiao Heyan
Published: August 2022

The prediction of casualties in earthquakes is very important for improving the efficiency of emergency rescue measures and reducing the number of casualties. Given the time lag and poor accuracy of population density data published in statistical yearbooks, a Baidu heatmap is used in this study to accurately estimate the regional population density. Based on the standard support vector machine (SVM) prediction model, a piecewise loss function and a robust wavelet kernel function are proposed to effectively reduce the prediction error. Given a characteristic attribute set of factors related to earthquake casualties, the new prediction model is tested in 34 cases involving earthquake cases on the Chinese mainland since 2011. Compared with other prediction techniques, the proposed robust wavelet SVM can converge more quickly, and the prediction error is lower than that of the standard backpropagation neural network (BPNN) and standard SVM.
Multidimensional Sensor Data Fusion Processing System Based on Big Data
Authors: Yuan Ying
Published: August 2022

In order to process data fusion, the author proposes a multidimensional sensor data fusion processing system based on big data. The author discusses the principle and basic steps of multidimensional sensor data fusion and analyzes the classification and common data fusion methods of data fusion. Then, the structure and training process of the DBN algorithm are emphatically expounded, experiments are carried out on the randomly collected multidimensional sensor datasets through the DBN algorithm, the validity of the algorithm is verified, and the algorithm is evaluated. The experimental results show that the number of hidden layers is 100, the number of nodes is 100, the weight matrix is a matrix of

784
×
100

, the learning rate is 2, the momentum is 0.5, the number of samples is 100, and the iteration is 1 time. The average reconstruction error obtained by the MATLAB Deep Learn Toolbox is 65.7798. Conclusion. The method proposed by the author can effectively process multidimensional sensor data fusion.