bluuebunny/crossref_metadata_2025 huggingface dataset:
Opportunity Openers for Preservice Science Teachers Experiencing the “Two-Worlds Pitfall”
Authors: Long Catherine , Shim Soo-Yean , Windschitl Mark , Lohwasser Karin
Published: July 2022

The clinical experience of preservice teachers can provide rich opportunities for them to learn about the work of teaching, but for many novices the opportunities are more limited because their host classroom does not reflect the type of instruction that they learn in their university coursework. Without these opportunities, preservice teachers (PSTs) may not get to apply, experiment with, and internalize the research-based teaching practices they are trained with. To address this challenge, this chapter looks at how the teacher education program, novice’s professional agency, and mentor openness can work together to open up new learning opportunities for teacher candidates facing the “two-worlds pitfall.” We interviewed and surveyed 63 teacher candidates throughout their clinical placement. Based on their reports, we coded the placement for its congruence with the PST’s university coursework. For candidates in low congruence placements, we analyzed their learning opportunities over time and the role of the three factors (university structures, PST agency, and mentor openness) in creating those opportunities. We use the story of three preservice teachers to illustrate how the factors can work in isolation but can also work together to create more frequent and more meaningful opportunities to learn how to teach with effective and equitable practices. Teacher education programs, teacher candidates, and mentor teachers all have a role to play in preparing teachers who are ready to work in high-need classrooms. As such, we have recommendations for how all three groups can create opportunities to learn about teaching during the clinical placement, even when the host classroom and the university are not fully aligned.
Understanding High Need: Exploring School and District Employment and Retention Patterns of Noyce Scholars in Texas
Authors: Templeton Toni , White Chaunté , Tran Michelle , Horn Catherine
Published: July 2022

A majority (61%) of Texas’s 5.4 million public school students are from economically disadvantaged backgrounds, ensuring that essentially all districts are serving substantial numbers of students with high need. This study seeks to understand a more nuanced story of Texas’s unique context by exploring the employment and retention patterns of Noyce Scholars at the school level. In particular, this study uses a descriptive analytical strategy to explore the first-year employment and retention patterns of Noyce program graduates from four Texas institutions. When the placement and retention of STEM teachers at highest-need schools were examined, researchers found that Noyce recipients were employed at highest-need schools at a modestly lower rate than their non-Noyce recipient peers (34% to 38%) and were retained into their second year of teaching at those schools at a lower rate than their non-Noyce peers (64% to 73%). Though Noyce participation had no observable association with placement or retention at highest-need schools, as indicated by a lack of statistical difference, more work could be done to ensure that those teachers are going to and staying in classrooms with the highest needs. The sustained federal investment in increasing the supply of quality STEM teachers in high-need districts brought about by the Noyce program continues to be an essential part of that effort. The findings here suggest that future iterations of this program and similarly designed interventions may benefit from increasingly intentional efforts to recruit and retain Noyce Scholars in the highest-need schools.
Balancing energy and protein homeostasis at ER-mitochondria contact sites
Authors: Carreras-Sureda Amado , Kroemer Guido , Cardenas Julio Cesar , Hetz Claudio
Published: July 2022

The endoplasmic reticulum (ER) is the largest organelle of the cell and participates in multiple essential functions, including the production of secretory proteins, lipid synthesis, and calcium storage. Sustaining proteostasis requires an intimate coupling with energy production. Mitochondrial respiration evolved to be functionally connected to ER physiology through a physical interface between both organelles known as mitochondria-associated membranes. This quasi-synaptic structure acts as a signaling hub that tunes the function of both organelles in a bidirectional manner and controls proteostasis, cell death pathways, and mitochondrial bioenergetics. Here, we discuss the main signaling mechanisms governing interorganellar communication and their putative role in diseases including cancer and neurodegeneration.
The omega-3 hydroxy fatty acid 7(
S
)-HDHA is a high-affinity PPARα ligand that regulates brain neuronal morphology
Authors: Liu Jiabao , Sahin Cigdem , Ahmad Samar , Magomedova Lilia , Zhang Minhao , Jia Zhengping , Metherel Adam H. , Orellana Arturo , Poda Gennady , Bazinet Richard P. , Attisano Liliana , Cummins Carolyn L. , Peng Hui , Krause Henry M.
Published: July 2022

The nuclear receptor peroxisome proliferator-activated receptor alpha (PPARα) is emerging as an important target in the brain for the treatment or prevention of cognitive disorders. The identification of high-affinity ligands for brain PPARα may reveal the mechanisms underlying the synaptic effects of this receptor and facilitate drug development. Here, using an affinity purification–untargeted mass spectrometry (AP-UMS) approach, we identified an endogenous, selective PPARα ligand, 7(
S
)-hydroxy-docosahexaenoic acid [7(
S
)-HDHA]. Results from mass spectrometric detection of 7(
S
)-HDHA in mouse and rat brain tissues, time-resolved FRET analyses, and thermal shift assays collectively revealed that 7(
S
)-HDHA potently activated PPARα with an affinity greater than that of other ligands identified to date. We also found that 7(
S
)-HDHA activation of PPARα in cultured mouse cortical neurons stimulated neuronal growth and arborization, as well as the expression of genes associated with synaptic plasticity. The findings suggest that this DHA derivative supports and enhances neuronal synaptic capacity in the brain.
Selection of Bis-Indolyl Pyridines and Triphenylamines as New Inhibitors of SARS-CoV-2 Cellular Entry by Modulating the Spike Protein/ACE2 Interfaces
Authors: Lapaillerie Delphine , Charlier Cathy , Guyonnet-Dupérat Véronique , Murigneux Emilie , Fernandes Henrique S. , Martins Fábio G. , Magalhães Rita P. , Vieira Tatiana F. , Richetta Clémence , Subra Frédéric , Lebourgeois Samuel , Charpentier Charlotte , Descamps Diane , Visseaux Benoît , Weigel Pierre , Favereaux Alexandre , Beauvineau Claire , Buron Frédéric , Teulade-Fichou Marie-Paule , Routier Sylvain , Gallois-Montbrun Sarah , Meertens Laurent , Delelis Olivier , Sousa Sérgio F. , Parissi Vincent
Published: July 2022

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the infectious agent that has caused the current coronavirus disease (COVID) pandemic. Viral infection relies on the viral S (spike) protein/cellular receptor ACE2 interaction.
CspZ FH-Binding Sites as Epitopes Promote Antibody-Mediated Lyme Borreliae Clearance
Authors: Chen Yi-Lin , Marcinkiewicz Ashley L. , Nowak Tristan A. , Tyagi Kundu Rakhi , Liu Zhuyun , Strych Ulrich , Bottazzi Maria Elena , Chen Wen-Hsiang , Lin Yi-Pin
Published: July 2022

Transmitted by ticks, the bacterium
Borrelia burgdorferi
sensu lato
is the causative agent of Lyme disease (LD), the most common vector-borne disease in the Northern hemisphere. No effective vaccines are currently available.
B. burgdorferi sensu lato
produces the CspZ protein that binds to the complement inhibitor, factor H (FH), promoting evasion of the host complement system. We previously showed that while vaccination with CspZ did not protect mice from
B. burgdorferi
infection, mice can be protected after immunization with CspZ-Y207A/Y211A (CspZ-YA), a CspZ mutant protein without FH-binding activity.
Human FcRn Is a Two-in-One Attachment-Uncoating Receptor for Echovirus 18
Authors: Chen Xiangpeng , Qu Xiao , Liu Congcong , Zhang Yong , Zhang Guigen , Han Pu , Duan Yali , Li Qi , Wang Liang , Ruan Wenjing , Wang Peiyi , Wei Wensheng , Gao George F. , Zhao Xin , Xie Zhengde
Published: July 2022

E18 is a member of enterovirus species B. As one of the most common enterovirus serotypes in nonpolio enterovirus detection, it easily infects children and causes various clinical symptoms.
Complete Genome Sequences of Ezakiella coagulans C0061C1 and Fenollaria massiliensis C0061C2
Authors: France Michael T. , Clifford Jack , Narina Shilpa , Rutt Lindsay , Ravel Jacques
Published: July 2022

Ezakiella coagulans
and
Fenollaria massiliensis
are two obligate anaerobic bacteria in the family
Peptoniphilaceae
and are both uncommon members of the human vaginal microbiota. We isolated a strain of each bacterium from the same vaginal swab specimen and here report the first complete genome sequences of the two species.
Determination of the Stage Composition of
Plasmodium
Infections from Bulk Gene Expression Data
Authors: Tebben Kieran , Dia Aliou , Serre David
Published: July 2022

Differences in cell type proportions among samples can introduce artifacts in gene expression analyses and mask genuine differences in gene regulation. Gene expression deconvolution allows estimation of the proportion of each cell type present in one sample directly from bulk RNA sequencing data, but this approach requires a reference data set with the signature profile of each cell type.
Fungal Interactions Strengthen the Diversity-Functioning Relationship of Solid-State Fermentation Systems
Authors: Zhang Hongxia , Tan Yuwei , Wei Junlin , Du Hai , Xu Yan
Published: July 2022

Biodiversity and network interactions act simultaneously on the microbial community structure in the
Baijiu
fermentation process, thereby rendering the microbiome dynamics challenging to manage and predict. Understanding the complex fermentation community and its relationship to community functions is therefore important in the context of developing improved fermentation biotechnology systems.
Phylogenomic Analysis of Salmonella enterica Serovar Indiana ST17, an Emerging Multidrug-Resistant Clone in China
Authors: Zhang Zengfeng , Chang Jiang , Xu Xuebin , Hu Mengjun , He Shoukui , Qin Xiaojie , Zhou Min , Shi Chunlei , Shi Xianming
Published: July 2022

Fluoroquinolones and cephalosporins are the primary choices for severe salmonellosis treatment.
S.
Indiana has become one of the most prevalent serovars in breeding poultry and poultry meats in China in recent years. ST17 was recognized as the leading epidemiological importance in
S.
Indiana because of its high-level resistance to the most of common antibiotics, including ciprofloxacin and ceftriaxone.
Genome and Transcriptome Sequencing Analysis of Fusarium
commune
Provides Insights into the Pathogenic Mechanisms of the Lotus Rhizome Rot
Authors: Kuang Weigang , Zhang Lianhu , Ye Lifang , Ma Jian , Shi Xugen , Lin Yachun , Sun Xiaotang , Cui Ruqiang
Published: July 2022

Fusarium
commune
is an important soilborne pathogen with a wide range of hosts and can cause
Fusarium
wilt of land plants. However, there are few studies on
Fusarium
wilt of aquatic plants.
Zika Virus Replication in a Mast Cell Model is Augmented by Dengue Virus Antibody-Dependent Enhancement and Features a Selective Immune Mediator Secretory Profile
Authors: Coish Jeremia M. , Crozier Robert W. E. , Schieffelin John S. , Coorssen Jens R. , Hunter Fiona F. , MacNeil Adam J.
Published: July 2022

Antibodies generated against one dengue serotype can enhance infection of another by a phenomenon called antibody-dependent enhancement (ADE). Additionally, antigenic similarities between Zika and dengue viruses can promote Zika virus infection by way of ADE
in vitro
using these very same anti-dengue antibodies.
Nitrite Promotes ROS Production to Potentiate Cefoperazone-Sulbactam-Mediated Elimination to Lab-Evolved and Clinical-Evolved Pseudomonas aeruginosa
Authors: Kuang Su-fang , Li Xia , Feng Ding-Yun , Wu Wen-Bin , Li Hui , Peng Bo , Peng Xuan-xian , Chen Zhuang-gui , Zhang Tian-tuo
Published: July 2022

Antibiotic-resistant
Pseudomonas aeruginosa
has become a real concern in hospital-acquired infections, especially in critically ill and immunocompromised patients. Understanding antibiotic resistance mechanisms and developing novel control measures are highly appreciated.
Effect of the Carotenoid Content and Activity of the Carotene cis-trans Isomerase CRTISO on Tomato Fruit Color
Authors: Efremov G. I. , Dzhos E. A. , Ashikhmin A. A. , Kochieva E. Z. , Shchennikova A. V.
Published: July 2022

The tomato Solanum lycopersicum L. is a convenient model for studying carotenoid metabolism due to the wide variety of carotenoid-mediated pigmentation of the ripe fruit. Carotene cis-trans isomerase CRTISO catalyzes cis-trans isomerization of double bonds leading to the formation of all-trans-lycopene, which is the most powerful antioxidant among carotenoids and a substrate for subsequent synthesis of α-, β-carotenes, and xanthophylls. In this work, 18 accessions of tomato cultivars and lines differing in the color of ripe fruit have been analyzed. The obtained biochemical data showed a dependence of fruit color on the content and composition of carotenoids and the presence or absence of chlorophylls. Expression analysis of three CRTISO homologous genes performed in silico has shown that the highest expression level in the fruit is only characteristic of gene CRTISO that has the maximal transcription at the stages of color change (from green to red) and biological ripeness of the fruit. Quantitative real-time PCR did not reveal any strong correlation between the level of CRTISO gene expression and total carotenoids, which may be explained by a different quantity of metabolites preceding prolycopene.
Ex situ soil respiration assessment using minimally disturbed microcosms and dried–sieved soils; comparison of methods to assess soil health
Authors: Comeau Louis-Pierre , MacKinley Kyle , Unc Adrian , Vallotton Jeremiah
Published: July 2022

Soil respiration measurements are commonly used as soil health indicators. Several ex situ soil respiration methods exist, but comparative performances between them have rarely been analyzed. Specifically, there is a lack of comparisons between intact microcosms and destructive methods. The objective of this study was to analyze and compare three different ex situ soil respiration methodologies: minimally disturbed microcosms using fresh soil, dried–sieved 24 h burst test, and dried–sieved 10-day incubation. We hypothesized that ( i) the respiration rates for the three methods are correlated to each other; ( ii) the respiration rates are strongly correlated with soil physico-chemical parameters; ( iii) disturbance caused by drying and sieving reduces regression coefficients compared with microcosms; and ( iv) drying and sieving soil produces larger respiration rates. Soil was collected in the Province of New Brunswick, Canada. Total carbon and nitrogen (C:N), pH, aggregate stability, total dissolved C and N, NO3 and NH4, texture, and labile C were determined prior to incubations. Our results showed that the three methods had CO2 efflux in similar ranges. However, all the methods had low to no significant correlations between soil physico-chemical parameters and respiration. Total dissolved N had the strongest correlation with CO2 efflux. The results of the microcosm method significantly correlated with the results for 24 h burst test but not with the 10-day incubation method. We conclude that drying and sieving soil prior to performing ex situ soil heterotrophic respiration measurements using the 24 h burst tests can produce cautiously reliable results. Despite the disturbance, results from the 24 h burst tests are comparable with the results of the microcosm method.
Fuzzy Dynamic Obstacle Avoidance Algorithm for Basketball Robot Based on Multi-Sensor Data Fusion Technology
Authors: Shi Feng , Hu Xiaomei
Published: July 2022

This paper uses multi-sensor data fusion technology to design and develop a multi-sensor based basketball robot’s target recognition and positioning system in an unknown environment. We establish the movement model of the basketball robot, and combine the hardware configuration of the basketball robot, analyse the methods of speed control, position control, and direction control, propose a fuzzy obstacle avoidance strategy in the basketball robot movement process, and simulate the obstacle avoidance strategy. The simulation results show that the proposed fuzzy obstacle avoidance strategy is effective. Carry out the experiment of basketball robot target calibration, build the basketball robot monitoring system, and realize data transmission and real-time image processing. Experiments show that the basketball robot can achieve target recognition and positioning tasks in an unknown environment (obstacle comparison rules). It proves the effectiveness and robustness of the proposed following algorithm. It illustrates the effectiveness of the system designed in this paper.
New Formulations for Prediction of Buckling Loads in Steel Plate Girders Through Linear and Nonlinear Stability Analysis
Authors: Alikhanifard Mohammad Amin , Rahai Alireza , Tehrani Payam
Published: July 2022

Buckling analysis of steel structures can be performed using either linear (LBA) or nonlinear buckling analysis (NLBA). Each method is only effective in particular conditions and improper use might lead to inaccurate predictions. Despite the extensive use of these two methods, there is a lack of research on the accuracy of each method and their limitations regarding the range of application. In this paper, these two methods are evaluated and compared for steel plate girders with a wide range of geometry and the limitations of each method are presented. The numerical modeling of steel plate girders is developed using Abaqus software. The numerical models are verified with the existing experimental results in the literature. An extensive parametric study is conducted using 123 models to investigate the effect of web height, web thickness and beam length on the results. The buckling loads predicted from the numerical models using different analysis methods are compared with those determined based on the AISC 360-16 and EN 1993-1-5 formulations and recommendations are made. Results indicate that while the nonlinear buckling analysis provides accurate predictions of buckling load and mode shape of steel beams, the linear buckling analysis is accurate only for the case of elastic buckling mode without tension field action. A new formulation is proposed to modify the LBA results in order to obtain the advantages of both analysis methods. In addition, based on the NLBA results, a much simple yet accurate equation is proposed to predict the buckling load using plate geometry and material properties instead of the complicated code equations. The accuracy of the proposed equation in comparison with the code equations is also demonstrated for 500 plate girders selected with random geometry.
Competencies of Bridge Managers for Facilitating Global R&D Projects
Authors: Chalarak Nawarerk , Uchihira Naoshi , Sato Nao
Published: July 2022

Global research and development (R&D) projects are common in multinational companies. Prior studies mainly paid attention to the global R&D projects from an organizational perspective such as organizational structures and foreign R&D unit coordination. This study aims at contributing to the improvement of global R&D projects by focusing on the competencies of individual managers (called bridge managers) who bridge organizations of different countries and facilitate research collaboration between teams in different countries. Bridge managers (BMs) are especially needed in offshore R&D projects to assist organizations to utilize knowledge resources in emerging countries including India. We collected data using online survey and analyzed data of 73 managers who have experience in facilitating global R&D projects. Results of qualitative comparative analysis showed that resilience and ability to understand worldwide business could help managers to solve communication difficulty in global R&D projects. The significance of this study is that we clarify the relationships between the competencies of BMs and the difficulties in global R&D projects. BMs could possess specific competencies for solving particular difficulties. Organizations could utilize the list of competencies in human resource management practices for recruitment, training, and assignment of BMs to facilitate their global R&D projects.
Evaluating the Effect of Electrolyte Additive Functionalities on NMC622/Si Cell Performance
Authors: Ha Yeyoung , Martin Trevor R. , Frisco Sarah , Rynearson Leah , Schulze Maxwell C. , Han Sang-Don , Trask Stephen E. , Lucht Brett L. , Teeter Glenn , Neale Nathan R.
Published: July 2022

Unstable electrode/electrolyte interface is the major cause of degradation for silicon (Si)-based anodes for lithium (Li)-ion batteries. Development of functional electrolyte additives can provide a viable path toward stabilizing the dynamic Si/electrolyte interface, which will benefit the development of high energy density Li-ion batteries. Here, we evaluate polymerizable electrolyte additives with varying functional groups (fluorocarbon, thiophosphate, and fluorophosphazene). The additives are examined using LiNi0.6Mn0.2Co0.2O2/Si full cells where the cycle performance and impedance are measured. Electrochemical tests show that the fluorine-containing additives provide better passivation at the Si electrode, leading to enhanced full cell performance. Among the three additives examined, best electrochemical performance is observed from the fluorocarbon-containing compound, followed by fluorophosphazene- and thiophosphate-containing compounds. Characterization of the solid electrolyte interphase (SEI) on cycled electrodes using Auger electron spectroscopy (AES), X-ray photoelectron spectroscopy (XPS), and attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) reveal that higher concentration of fluorine and lithium oxide, and lower concentration of carbonate and organic species correlate with enhanced electrochemical performance.
Phase Diagram of Li-Graphite Intercalation Compound Formed by the Charge/Discharge Reaction in Li-Ion Battery
Authors: Fujimoto Hiroyuki , Yamaki Takahiro , Shimoda Keiji , Fujinami So , Nakatani Tomotaka , Kano Gentaro , Kawasaki Mitsuo , Ogumi Zenpachi , Abe Takeshi
Published: July 2022

The graphite negative electrode for Li-ion batteries was subjected to precision charge/discharge measurements at low current loads. The derivatives of the potential vs capacity curve and the potential vs C/Li composition curve were used to analyze elementary charge/discharge reactions. The number of peaks in the potential-capacity derivative curve increased with decreasing current load, and the elementary reactions, based on the formation of an unconfirmed superlattice structure, could be clearly separated and analyzed. By synchronizing these results with operando synchrotron X-ray diffraction data, a phase diagram of the Li-graphite intercalation compound formed by the charge/discharge reaction in Li-ion battery was established.
A Study on m‐Polar Interval‐Valued Intuitionistic Fuzzy Graphs with Application in Management
Authors: Chen Lian , Khan Aysha , Akhoundi Maryam , Talebi A. A. , Muhiuddin G. , Sadati S. H.
Published: July 2022

Interval‐valued intuitionistic fuzzy graphs (IVIFGs) have many fields of work in other sciences, including psychology, life sciences, medicine, and social studies, and can help researchers with optimization and save time and money. A very important type of IVIFG is an m‐polar IVIFG that can play a significant role in managing and finding effective people in a company or institution. It can also be used to achieve very important results in the field of psychological sciences and social relations. Hence, in this study, we presented the notion of m‐polar h‐morphism on m‐polar IVIFGs. Some elegant theorems on weak isomorphism (WI) and co‐weak isomorphism (CWI) are obtained. Likewise, we survey m‐polar h‐morphism on strong regular (SR) and highly irregular (HI) m‐polar‐IVIFGs. Management always plays an important role in an organization and can cause its growth and prosperity. But finding a strong leader is a very important issue that needs to be addressed. Therefore, in the last section, we have tried to express the application of the m‐polar IVIFG in the management problem.
[Retracted] Deep Learning‐Based Detection and Identification Method for Sports Health Video Dissemination
Authors: Pang Yajun
Published: July 2022

Sports health is gradually attracting attention, and computer vision technology is integrated into sports health to improve the quality of sports and increase the motivation of athletes. A deep learning sports health video propagation detection and recognition system is built through the mode of video propagation to provide real‐time training information for sports and scientific body index parameters and exercise data for sports health programs. An athletics action estimation network (AAEN) is promoted, which initially obtains the correlation features and depth features between human skeleton key points through partial perception units. Then, all the joint point features are classified and correlated based on the affinity field range through the confidence map of the human skeletal node region. All video frames are then fused with similar joint features at the temporal level to extract motion key points in the time scale, and human posture prediction is achieved by fitting between the motion features and the dynamic database. To show the high efficiency of our method, we select three main databases for validation, and the results prove that AAEN outperforms by 13.96%, 16.90%, and 15.10% in precision, F1 score, and recall compared to the SOTA in sports health video detection and recognition. Our method also performs better overall in the same type of algorithms.
Protective Mechanism of Nostoc sphaeroides Kütz. Polysaccharide on Liver Fibrosis by HFD-Induced Liver Fat Synthesis and Oxidative Stress
Authors: Yang Litao , Zhang Bo
Published: July 2022

Nostoc sphaeroides Kütz. polysaccharide (NSKP) is one of the main components of Nostoc sphaeroides Kütz. and is often used as health food. We investigated whether NSKP interferes with the progression of liver fibrosis. Male mice were randomly divided into 4 groups: control (C), high-fat diet (M), high-fat diet + 0.4 g/kg NSKP (L), and high-fat diet + 0.8 g/kg NSKP (H). C was fed standard diet, M was fed high-fat diet, and L and H were fed high-fat diet in addition to gavage of 0.4 g/kg or 0.8 g/kg NSKP, respectively, for 22 weeks. At the end of the experiment, the serum and liver oxidative stress, fat accumulation, and fibrosis indexes were detected. The histopathology of liver was also observed. The results showed that the rice of NSKP, compared with M, improved blood lipid level, liver total cholesterol (TC), triglyceride (TG), and liver antioxidant capacity and effectively interfered with liver fibrosis related indicators. So it is interesting to note that NSKP appeared to be effective in liver injury; further experiments are necessary to clarify the exact mechanisms involved.
Levi-Civita Ricci-Flat Doubly Warped Product Hermitian Manifolds
Authors: Ni Qihui , He Yong , Yang Jinhua , Zhang Hui
Published: July 2022

Let

M

1

,
g

and

M

2

,
h

be two Hermitian manifolds. The doubly warped product (abbreviated as DWP) Hermitian manifold of

M

1

,
g

and

M

2

,
h

is the product manifold

M

1

×

M

2

endowed with the warped product Hermitian metric

G
=

f

2

2

g
+

f

1

2

h

, where

f

1

and

f

2

are positive smooth functions on

M

1

and

M

2

, respectively. In this paper, the formulae of Levi-Civita connection, Levi-Civita curvature, the first Levi-Civita Ricci curvature, and Levi-Civita scalar curvature of the DWP-Hermitian manifold are derived in terms of the corresponding objects of its components. We also prove that if the warped function

f

1

and

f

2

are holomorphic, then the DWP-Hermitian manifold is Levi-Civita Ricci-flat if and only if

M

1

,
g

and

M

2

,
h

are Levi-Civita Ricci-flat manifolds. Thus, we give an effective way to construct Levi-Civita Ricci-flat DWP-Hermitian manifold.
An Empirical Study on the Deficiencies and Optimization of the Management System of Tourist Attractions Based on Human Resource Management
Authors: Tang Yan , Bai Siran , Cui Lingling
Published: July 2022

Today, with the deepening of economic globalization and the further intensification of competition among enterprises, the role and functions of human resource managers of enterprises have undergone major changes. Their main responsibilities have shifted from administrative and logistical type work to becoming strategic partners in businesses. Therefore, competency-based human resource management is gradually attracting the attention of enterprises, which use the competency model to effectively identify the potential characteristics of individuals, thus dynamically realizing the consistency of human-work-organizational strategic goals. Based on the social reality of profound changes in human resource management in the era of big data, this study uses natural language processing and machine learning methods to dynamically mine 165,811 enterprise recruitment data for feature analysis and model construction of human resource management job capabilities. To capture the job profile data of job seekers, experts are required to observe and score the career profile according to the competency model, obtain training data, and then study the application of the competency model in resume screening, and build the competency matching model. The results show that among the variables extracted from resumes, whether they majored in human resources, internship experience, student officer experience, the size of the company they work for, their level and their highest level of education has a significant impact on overall ability characteristics, while working hours, reward experience, and education have no significant effect on ability characteristics. The accuracy, recall rate, accuracy, and Fl score of the ability prediction model built by machine learning are all above 70%, indicating that the model can effectively imitate the behavior of experts, evaluate the competency according to the resume, and realize the ability matching in the resume screening from small-scale manual operation to big data machine calculation.
Construction of a miRNA-mRNA Network Related to Exosomes in Colon Cancer
Authors: Dong Wanhui , Wu Dezhen , Xu Sheng , Sun Qingming , Ci Xueping
Published: July 2022

Background. The competing endogenous RNA (CeRNA) network plays important roles in the occurrence and development of colon cancer. This research is aimed at constructing a miRNA-mRNA network associated with exosomes in colon cancer. Methods. We explored the GEO database and then analyzed the RNAs of 722 samples to obtain differentially expressed miRNAs (DEMs) and mRNAs (DEGs) alongside the progress of colon cancer. Next, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of DEM target genes and DEGs were performed. In addition, a miRNA-mRNA network related to exosomes in colon cancer was constructed based on DEMs and DEGs. Finally, the expression of miRNA and mRNA in the network was verified by GEPIA2 on the base of TCGA database. Results. Through our analysis, 19 DEMs (17 up and 2 down) and 1672 DEGs (954 up and 718 down) were screened. The GO and KEGG results show that these DEGs were mainly enriched in ribonucleoprotein complex biogenesis, noncoding RNA metabolic process, cell-substrate junction, cadherin binding, transcription coregulator activity, and regulation of the human T-cell leukemia virus 1 infection-related pathway. Besides, a miRNA-mRNA network, including 4 miRNAs (hsa-miR-623, hsa-miR-320c, hsa-miR-486-5p, and hsa-miR-1290) and 7 mRNAs (GNAI1, CADM1, PGRMC2, etc.), was constructed. Three of these seven mRNAs were downregulated in colon cancer. Ultimately, the GNAI1, CADM1, and PGRMC2 expression levels were verified by TCGA database. Conclusions. This study reveals the network relationship between colon cancer exosome-derived miRNA and targeted mRNA. It deepens our understanding of new molecular mechanisms and pathways that may play a role in the occurrence and metastasis of colon cancer.
[Retracted] Classical and Bayesian Inference of Marshall‐Olkin Extended Gompertz Makeham Model with Modeling of Physics Data
Authors: Mohamed Rania A. H. , Al-Babtain Abdulhakim A. , Elbatal I. , Almetwally Ehab M. , Almongy Hisham M.
Published: July 2022

The purpose of this study is to present the Marshall‐ Olkin extended Gompertz Makeham (MOEGM) lifetime distribution, which has four parameters. As a result, we will describe some of the structural elements that are introduced for this model. The maximum likelihood approach is used to estimate the model parameters, and it is well known that likelihood estimators for unknown parameters are not always available. As a result, we examine the prior distributions, which allow for prior dependence among the components of the parameter vector, as well as the Bayesian estimators derived with respect to the squared error loss function. A Monte Carlo simulation research is carried out to examine the performance of the likelihood estimators and the Bayesian technique. Finally, we demonstrate the significance of the new model. And to conclude, we illustrate the importance of the new model by exploring some of the empirical applications of physics to show it’s flexibility and potentiality of a new model.
Impact of Light and Temperature on Growth, Intracellular and Extracellular Pigment, and Lovastatin Yield by Monascus ruber in Synthetic Medium
Authors: Suganya K. , Usha Raja Nanthini A. , Narenkumar Jayaraman , Abilaji Subramani , Rajasekar Aruliah , Sivakumar Subpiramaniyam , Prasath S. , Almoallim Hesham S. , Alahmadi Tahani Awad
Published: July 2022

The development of alternate sources for the production of natural pigments has been targeted to overcome the utilization of artificial coloring, which is dangerous to human health and the environment. Dyes extracted from microbial sources are more important for beneficial food industry use, especially Monascus spp. produces several critical secondary metabolites such as lovastatin, g-amino butyric acids, monascodilone, monascorubramine, monascin, ankaflavin, rubropunctatin, and citrinin. Lovastatin is a fungal polyketide that inhibits the rate-limiting enzymes HMG-CoA reductase, an essential precursor in cholesterol biosynthesis. The light source regulates fungi’ growth, metabolism, and reproduction and is necessary for fungi’ existence and distribution. The impact of different color lights (red, green, blue, yellow, and white, darkness) and different temperatures (27°C and 37°C) on extracellular and intracellular pigment yield, lovastatin production, and biomass of Monascus ruber was studied, and appropriate incubation temperature and time enhance the intracellular, extracellular pigment, and biomass production. However, when exposed to other color lights, fungus growth and pigment yield are significantly reduced in Monascus ruber. Then, fungi and pigment yield development is decreased when exposed to other color lights. It can be concluded that darkness influenced pigment production and biomass yield at both temperatures (27°C and 37°C). Similarly, the production of lovastatin and its concentration were analyzed by HPLC. The highest concentration of lovastatin was obtained at 27°C when exposed to red color light (302.6 mg/ml for extracellular fermentation broth) and (86.7 mg/ml for intracellular fermentation broth). At 37°C, the highest concentration of lovastatin was obtained from (571.5 mg/ml extracellular fermentation broth) when exposed to darkness and (170.4 mg/ml intracellular fermentation broth) exposed to red color light. Thus, the result provides the knowledge to enable us to explore the pigments and lovastatin yield for functional foods and large-scale industrial applications.
NUT Midline Carcinoma: A Rare Solid Tumour Characterized by Chromosome Rearrangement
Authors: Zhang Huan , Kong Weili , Liang Wei
Published: July 2022

Objective. Rare and poorly differentiated NUT midline carcinoma (NMC) is a highly malignant tumour. However, due to the rarity of NMC, reports on its clinical, imaging, and pathologic features are still scarce. Methods. In this study, three patients diagnosed with NMC located in the parotid gland, lung, and trachea were used as examples to summarize the clinicopathological features of NMC. All the cases were diagnosed by measuring positive nuclear reactivity to NUT antibody after dual-colour FISH tests were conducted, and all of the results were positive, indicating chromosomal rearrangements on 15q14 of the NUT gene. Results. These three patients were treated with conventional treatments, including surgical therapy and chemoradiotherapy. Given the poor efficacy of intensive conventional treatment, two novel therapies, histone deacetylase inhibitors (HDACi) and bromodomain inhibitors (BETi) are recommended, as both can arrest the growth of tumour cells, and these targeted therapies may extend patient survival time in the future. Conclusions. NMC is an easily misdiagnosed cancer with a poor prognosis; therefore, improving the awareness of clinicians is critical for increasing the diagnostic accuracy, and selecting effective treatment is the main method to improve prognosis.
A Music Teaching Resource Management Model Based on Fuzzy Clustering Algorithm
Authors: Wu Meng
Published: July 2022

This study develops and implements a music instructional resource platform based on fuzzy clustering algorithm knowledge in order to make the management of music teaching quality more scientific and standardised. This study presents the construction scheme of a music instructional resource management system in a higher education institution through requirements analysis, function design, system development and implementation, and system testing of the software system. In this study, a system is developed that uses computational intelligence to calculate the content and topics contained in resources based on semantic similarity, generate category labels, and cluster educational resources in order to integrate educational resources and implement effective management. It not only meets the needs of users who want to access the platform system via mobile terminals but also increases the platform system’s utilisation rate. Experiments show that this system’s stability can reach 95.37%. The retrieval accuracy is 96.24%, which is 8.94% better than the traditional method. It has the ability to effectively provide high-quality music teaching resources. Using the instructional resource system proposed in this study will improve teaching effectiveness, reduce learners’ learning burden, and increase learning efficiency.
Metro Engineering Project Schedule Optimization Based on Wireless Network Communication and BIM Model Algorithm
Authors: Jiang Haidong , Tian Manli , Chen Yonggui , Zhang Guofa , Peng Xiaoyong
Published: July 2022

BIM (Building Information Modeling) is to create models based on various related information in construction projects and use simulation virtual technology to model actual building information. It is not only the integration of digital information but also the application of digital information in engineering construction. Digital models can be used to plan and simulate the whole process of construction projects scientifically and accurately. In the process of project construction, wireless network communication technology can provide a good basis for collaboration, which is essential for the control of project progress, task scheduling, and systematic communication between all parties. This article introduces the LTE wireless network communication technology and network coverage plan, summarizes the cost and schedule control principles of construction projects, analyzes the factors that affect the construction schedule in subway construction, and introduces the application of BIM technology in subway construction schedule control. Taking the construction of Section XX of Line 1 of City A as an example, a simulation experiment was carried out, and the optimization effect was evaluated with SPI and CPI indicators. The final experimental results show that it is meaningful to use the BIM model algorithm to optimize the subway project. In the simulation experiment, the corresponding construction period saving rate after completion of the project is 6.94%.
Optimization and Benefit Analysis of Intelligent Networked Vehicle Supply Chain Based on Stackelberg Algorithms
Authors: Che Cheng , Geng Xin , Zheng Huixian , Chen Yi , Zhang Xiaoguang
Published: July 2022

With the rapid development of intelligent technology, the construction of smart cities with the goal of creating a harmonious human life has become a new hot spot in the world. A new round of information technology revolution, represented by the Internet, big data, cloud computing, artificial intelligence (AI), and fifth-generation mobile communications (5G), is driving profound changes in the automotive industry. Smart vehicles (also known as intelligent connected vehicles) that integrate many high-tech technologies to provide safer, more convenient, and low-carbon comprehensive travel solutions have become an inevitable form of future vehicles. This paper constructs a three-level supply chain consisting of high-performance chip suppliers, smart car manufacturers, and retailers. On the basis of considering the level of product innovation and sales effort, Stackelberg game method is used to study the influence of each player in the supply chain on each parameter and the profit of each player under three scenarios: centralized decision making, nonsharing of innovation cost, and sharing of innovation cost. The results show that: when the level of sales effort has nothing to do with the level of innovation, the level of product innovation and the total profit of the supply chain increase with the improvement of the retailer’s sales ability; when the level of sales effort is related to the level of innovation, the level of product innovation under the cost-sharing decision model is greater than the case of no cost sharing, but the total profit of the supply chain is less than the case of no cost sharing.
SR-DSFF and FENet-ReID: A Two-Stage Approach for Cross Resolution Person Re-Identification
Authors: Wu Zongzong , Yu Xiangchun , Zhu Donglin , Pang Qingwei , Shen Shitao , Ma Teng , Zheng Jian
Published: July 2022

In real-life scenarios, the accuracy of person re-identification (Re-ID) is subject to the limitation of camera hardware conditions and the change of image resolution caused by factors such as camera focusing errors. People call this problem cross-resolution person Re-ID. In this paper, we improve the recognition accuracy of cross-resolution person Re-ID by enhancing the image enhancement network and feature extraction network. Specifically, we treat cross-resolution person Re-ID as a two-stage task: the first stage is the image enhancement stage, and we propose a Super-Resolution Dual-Stream Feature Fusion sub-network, named SR-DSFF, which contains SR module and DSFF module. The SR-DSFF utilizes the SR module recovers the resolution of the low-resolution (LR) images and then obtains the feature maps of the LR images and super-resolution (SR) images, respectively, through the dual-stream feature fusion with learned weights extracts and fuses feature maps from LR and SR images in the DSFF module. At the end of SR-DSFF, we set a transposed convolution to visualize the feature maps into images. The second stage is the feature acquisition stage. We design a global-local feature extraction network guided by human pose estimation, named FENet-ReID. The FENet-ReID obtains the final features through multistage feature extraction and multiscale feature fusion for the Re-ID task. The two stages complement each other, making the final pedestrian feature representation has the advantage of accurate identification compared with other methods. Experimental results show that our method improves significantly compared with some state-of-the-art methods.
Effect of Various Factors on Plant Fibre‐Reinforced Composites with Nanofillers and Its Industrial Applications: A Critical Review
Authors: Aravindh M. , Sathish S. , Prabhu L. , Raj R. Ranga , Bharani Murugesan , Patil Pravin P. , Karthick Alagar , Luque Rafael
Published: July 2022

The growing awareness of the environmental damage caused by petroleum‐based fibres has led to an increase in renewable and biodegradable resources. The continually growing demand for eco‐friendly and sustainable materials pushes automakers and material researchers to consider the ecological importance of their materials during fabricating, recovering, and disposal. Natural fibre‐reinforced composites (NFRC) have been introduced into the automobile market substantially over the last ten years due to their renewability, eco‐friendliness, recyclability, biodegradability, light weight, better specific strength, good resistance to impact and corrosion, abundantly available, ease of processing, and cost‐effectiveness. Due to cost‐effectiveness and weight reduction, NFRC is becoming a better replacement for petroleum/synthetic fibres like aramid, kevlar, carbon, and glass fibre‐reinforced composites, and the transportation sector has instigated the use of these materials in many applications like car interiors and exteriors, dash boards, bumpers, spoilers, seat covers, and mirror casings. NFRC with nanofillers is gaining more attention in the field of engineering, particularly for automotive, defense, building, and construction applications due to better aspect ratio, larger surface area, and attractive properties. The mechanical, tribological, and thermal properties of plant fibre‐reinforced composites can be improved through the incorporation of organic or inorganic nanofillers. The present review profoundly explores the effects of various factors influencing NFRC with nanofillers. This paper also summarises the effects of various chemical reagents, fabrication techniques, and industrial applications of NFRC.
[Retracted] Optimization Algorithm of Engineering Project Design Based on BIM Method
Authors: Wen Li
Published: July 2022

BIM is a type of information technology that aims to improve collaboration and productivity by providing data analysis for the entire life cycle of a building. This paper investigates the development of a BIM‐based engineering management model and the implementation of BIM‐based engineering project information integration management based on BIM information collaboration by analyzing BIM integrated information and combining collaboration theory, engineering project management, and computer network collaboration and interaction theory. The use of BIM technology can effectively improve the control level and implementation efficiency of enterprise projects, reduce the rate of rework, and promote the continuous improvement of the industry’s capability and technology. The entire project operation, design, and construction process can be optimized and managed by using BIM technology to create a digital model.