bluuebunny/crossref_metadata_2025_split huggingface dataset:
The plane elasticity problem of interface cracks between three-dimensional icosahedral quasicrystals and circular elastic inclusion under the thermal loading
Authors: Zhao Xuefen , Ma Yuanyuan , Lu Shaonan 
Published: March 2023

Abstract
By using the complex variable method, the problem of interface cracks between three-dimensional icosahedral quasicrystals and circular elastic inclusion under the action of a point heat source was investigated. Combined with the Schwarz analysis continuation principle, the generalized Liouville theorem and the singularity analysis of complex functions, the problem is transformed into a Riemann boundary value problem, and the general solutions of temperature and stress functions are obtained. As a special case, the solutions of the interface with a single crack are derived, and the analytic expressions of intensity factors at the crack tips are obtained. Numerical examples are given to analyze the effects of inclusion radius, point hot source intensity and coupling coefficient on thermal stress and stress intensity factors of three common composites. The current research not only provides theoretical guidance for the reliability design and optimization of quasicrystal composites but also contributes to a deeper understanding of the thermomechanical behavior of quasicrystal composites.
Large Stimuli-Responsive Azobenzene Macrocycles as Functional Cavitands: Synthesis and Detection by NMR and MS Methods
Authors: Roithmeyer Helena , Uudsemaa Merle , Trummal Aleksander , Brük Mari-Liis , Krämer Sebastian , Reile Indrek , Rjabovs Vitalijs , Palmi Kirsti , Rammo Matt , Aav Riina , Kalenius Elina , Adamson Jasper 
Published: March 2023

Abstract
Azobenzene macrocycles are widely investigated as potential drug delivery systems and as part of molecular machines due to their photo-responsive properties. Herein, we synthesize a series of new azobenzene macrocycles, featuring up to eight switchable repeating units. We study the influence of different reaction conditions, base equivalents, concentration, reactant addition time and stirring time, on the formation of the macrocycles of different sizes, ranging from 10 to 40 aromatic rings in the macrocyclic architectures. High-resolution mass spectrometry and ion mobility (IM) mass spectrometry experiments and 1H and diffusion-ordered spectroscopy (DOSY) NMR are used to detect the presence of the macrocycles in gas phase and solution, respectively. While MS methods lead to the identification of the macrocycles, the differentiation between the different sizes of these macrocycles with DOSY NMR is limited. The responsiveness of the Z-to-E photo-switching of the smallest of the macrocycles, exhibiting 2 azobenzene units and in total 10 aromatic rings, separated with column chromatography, is studied with irradiation experiments, using both UV-Vis light and thermal excitation, and monitoring the sample with UV-Vis absorption and 1H NMR spectroscopy after the excitation. DFT calculations help shed light on the conformation of this isolated species.
Mental Health Condition of the Children in Humanitarian Crisis: A Study in Rohingya Kutupalong Camp
Authors: Parvin Nusrat 
Published: March 2023

Abstract
In August 2017, the Rohingya genocide erupted into a global refugee crisis, as a large number of Rohingya refugees fled Myanmar for Bangladesh. This global public health epidemic carries a significant mental health impact. Myanmar's combat situation, trauma, as well as post-migration situations such as resettlement camp environments, could lead to serious mental health issues. The purpose of this study was to learn more about the children's experience in Myanmar from Bangladesh's Kutupalong refugee camp in Cox's Bazar, as well as their present mental health situation. The research was designed as a qualitative study, and 13 children were chosen as participants. The study was completed in 2018. The information gathered was transcribed, triangulated, and thematically analysed. Post-traumatic stress disorder (PTSD), anxiety, depression, and somatic symptoms were all cited by the majority of respondents. They frequently suffered from flashbacks, nightmares, panic attacks, suicidal ideation, trauma, palpitation, sleep disturbances, and physical aches for no apparent reason. Because of the time restrictions, this study was able to produce concise results. This research could aid in understanding potential mental health interventions for Rohingya refugee children.
Qualitative properties of solution to a viscoelastic Kirchhoff-like plate equation
Authors: Liu Yang , Moon Byungsoo , Radulescu Vicentiu D. , Xu Runzhang , Yang Chao 
Published: March 2023

Abstract
This paper is concerned with the initial boundary value problem for viscoelastic Kirchhoff-like plate equation with rotational inertia, memory, $p$-Laplacian restoring force, weak damping, strong damping, and nonlinear source terms. We establish the local existence and uniqueness of the solution by linearization and contraction mapping principle. Then we obtain the global existence of solution with subcritical and critical initial energy by applying potential well theory. Then we prove the asymptotic behavior of the global solution with positive initial energy strictly below the depth of potential well. Finally, we conduct a comprehensive study on the finite time blow-up of solution with negative initial energy, null initial energy, and positive initial energy strictly below the depth of potential well and arbitrary positive initial energy, respectively.
Modeling the Impact of Screening on the Dynamics of Tuberculosis Transmission in Ethiopia
Authors: Jiru Mideksa Tola 
Published: March 2023

Abstract

Tuberculosis (TB) is a chronic respiratory infectious disease caused by the pathogen Mycobacterium tuberculosis. Infected people can spread TB germs from their mouth when they cough or sneeze. In this study, we have proposed and analyzed a mathematical model to examine the impact of awareness regarding TB transmission and treatment effects for a disease transmitted by contact in a constant population. We determined the six equilibriums using a system of nonlinear ordinary differential equations. The well-posedness of the proposed infection model is then analytically studied by showing properties such as the existence, uniqueness, boundedness, and positivity of the solutions. The stability analysis of the equilibrium points of the model is also discussed after computing the basic reproduction number. The disease-free equilibrium point of the model was seen locally and globally and it was stable for R0 < 1 but unstable for R0 > 1. The sensitivity analysis and model simulation was also studied to supplement the analytical outcomes. As a result high awareness creation of TB transmission through community and high treatment rate of infectious classes have high impacts of Tuberculosis disease Transmission.
Delving into the Bacillus cereus group biosynthetic gene clusters cosmos: a comparative-genomics-based classification framework
Authors: Belaouni Hadj Ahmed , Yekkour Amine , Zitouni Abdelghani , Meklat Atika 
Published: March 2023

Abstract
Background: In this study, the Bacillus sp. strain BH32 (a plant-beneficial bacterial endophyte) and its closest non-type Bacillus cereus group strains were used to study the organization, conservation, and diversity of biosynthetic gene clusters (BGCs) among this group to propose a classification framework of gene cluster families (GCFs) among this intricate group. A dataset consisting of 17 genomes was used in this study. Genomes were annotated using PROKKA ver.1.14.5. The web tool antiSMASH ver. 5.1.2 was used to predict the BGCs profiles of each strain, with a total number of 198 BGCs. The comparison was made quantitatively based on a BGCs counts matrix comprising all the compared genomes and visualized using the Morpheus tool. The constitution, distribution, and evolutionary relationships of the detected BGCs were further analyzed using a manual approach based on a BLASTp analysis (using BRIG ver. 0.95); a phylogenetic analysis of the concatenated BGCs sequences to highlight the evolutionary relationships; and the conservation, distribution and the genomic co-linearity of the studied BGCs using Mauve aligner ver. 2.4.0. Finally, the BIG-SCAPE/CORASON automated pipeline was used as a complementary strategy to investigate the gene cluster families (GCFs) among the B. cereus group.
Results: Based on the manual approach, we identified BGCs conserved across the studied strains with very low variation and interesting singletons BGCs. Moreover, we highlighted the presence of two major BGCs synteny blocks (named “synteny block A” and “synteny block B”), each composed of conserved homologous BGCs among the B. cereus group. For the automatic approach, we identified 23 families among the different BGCs classes of the B. cereusgroup, named using a rational basis. The proposed manual and automatic approaches proved to be in harmony and complete each other, for the study of BGCs among the selected genomes.
Conclusion: Ultimately, we propose a framework for an expanding classification of the B. cereus group BGCs, based on a set of reference BGCs reported in this work.
Two methods used for radiative micropolar nanofluid passed through a porous channel
Authors: narimisa hossein 
Published: March 2023

Abstract
in this study radiative micropolar nanofluid passed through a porous channel was analyzed. Because of the considerable amount of difference Finite element technique with approve of AGM was used. Different parameter and dimensionless numbers like Reynolds number Re, Hartman number M, thermophoretic number Nt with variation of velocity, temperature and concentration profile are shown graphically. There was no change in velocity or microrotation profile while there was a change in Reynolds number. Although concentration profile decreased with increasing of Reynolds number.
Wave Solutions of nonlinear model occurs in Telecommunications
Authors: ALi Ahmed Refaie , Islam Shariful , Khatun Asma 
Published: March 2023

Abstract
In this work, we analyze bifurcation of the nonlinear model relating to the telecommunication system. We also derive numerical solutions and some analytic nonlinear wave solutions according to the each energy orbits of the corresponding phase portraits for the model. Finally, graphical illustrations are provided showing effect of parameters on the wave solutions.
Guifu Decoction Orchestrates Gut Homeostasis and Inhibits PCV2-Induced Inflammation and Enteritis via the PPAR-γ/NF-κB Signaling Pathway
Authors: deng yang , Luo Xingchen , Chang Kexin , Wu Qiong , Zhang Yonghong , Zhang Hua , Cui Defeng , Zhou Bo 
Published: March 2023

Abstract
Background
PCV2 infection in piglets reduces growth performance and increases mortality, causing serious economic losses. Guifu decoction (GFD) is a restorative Chinese medical formulation containing several individual herbs with antiviral and anti-inflammatory effects. Animal studies have revealed that GFD is protective in pigs infected with porcine circovirus (PCV2). However, the mechanism is still unclear. In this study, we aimed to evaluate the effects of GFD against PCV2 infection in mice and determine its mechanism of action, focusing on the PPAR-γ/NF-κB signaling pathway.
Methods
The therapeutic effect of GFD on PCV2-infected mice was assessed in terms of its prevention of ileum and lung pathology. RNA sequencing (RNA-seq) was used to determine pulmonary transcriptome profiles under various conditions. 16S rRNA sequencing was carried out to verify the role of GFD in the regulation of intestinal microbiota.
Results
We found that GFD treatment reduced the PCV2-induced inflammatory response and damage to the ileum. GFD strengthened the intestinal mucosal barrier and increased the expression of MUC2 mRNA. PCV2 infection reduced the diversity of intestinal microbiota, but GFD treatment increased the relative abundance of lactobacilli and decreased potentially pathogenic bacteria such as Mycoplasma. KEGG enrichment analysis of differentially-expressed genes showed activation of the PPAR-γ/NF-κB pathways; specifically, the expression of Olr1 and Scd1 genes was significantly up-regulated, while Acox2, Plin1, and Cyp4a12b genes were down-regulated. GFD treatment increased PPAR-γ protein and decreased levels of IκBα and P-IκBα, p65 and P-p65 in the PCV2-infected mouse model.
Conclusions
Taken together, these results indicate that GFD enhanced intestinal integrity and barrier function by altering intestinal microbiota composition, which subsequently alleviated intestinal injury and improved health. It also reduced the systemic response to the virus and subsequent inflammation through the PPAR-γ/NF-κB pathway. Our data provide novel insights into the potential pathophysiology of PCV2-induced disease in piglets and enhance our understanding of the role of the gut microbiota in the mechanism. Deducing how the GFD formulation protects against PCV2 could lead the way to the development of novel effective therapies to combat intestinal diseases and improve the health and growth performance of pigs.
NetPSig: Computationally guided neutrophil extracellular trap-associated signature significantly predicts the prognosis and therapeutic response in breast cancer
Authors: Li Huamei , Du Wnbo , Sharma Amit , Huang Xiaoqian , Liu Ruiqi , Ye Fang , Li Xuemei 
Published: March 2023

Abstract
Background: Considerable evidence suggests that neutrophil extracellular traps (NETs) are involved in cancer development and metastasis dissemination. Equally important, the yet to be defined role of NETs in resistance to cancer therapies.
Results: Herein, we investigated the expression alterations and genetic variations (mutations, SNPs) in NETs-associated genes and related them to the clinical outcomes in breast cancer (BC) patients. To strengthen our analysis, we established a novel prognostic signature (named as, NetPSig) and confirmed its robust performance using several independent BC cohorts and publicly available BC gene-based signatures. Our analysis clearly demonstrated that: 1) expression and genetic variation of NETs-associated genes significantly contribute to the prognosis of BC; 2) NetPSig complements BC-related clinically valuable variables such as age, PAM50 and tumor stage; 3) the biological disparities in high- and low-risk groups identified by NetPSig confer prognostic values (p-value ≤ 0.01), in particular, the high-risk group showed worse prognosis with enrichment of P53mutations, 4) NetPSig performed positively in predicting the therapeutic response and identified five potential drugs (AZD7762, Bosutinib, DMOG, Docetaxel and Sunitinib) for the treatment of BC patients with lower risk score category.
Conclusion: In summary, a novel prognostic signature (NetPSig) presented in this study provides more robust and better predictive performance compared to the existing BC gene-based signatures. Besides, we support the notion that NET-associated genes represent an opportunity to further improve the efficacy of cancer therapy.
On-surface synthesis of a polyynic carbon chain with ~40 alkyne units
Authors: Gao Wenze , Kang Faming , Sun Luye , Zhou Zheng , Zheng Wei , Xu Wei 
Published: March 2023

Abstract
Carbyne, an elusive sp-hybridized linear carbon allotrope, has fascinated chemists and physicists for decades. Due to its high chemical reactivity and extreme instability, carbyne was much less explored in contrast to the sp2-hybridized carbon allotropes such as graphene. Herein, we report the on-surface synthesis of a polyynic carbon chain with ~40 alkyne units (80 carbon atoms), exhibiting the longest polyyne synthesized and characterized to date as a model for carbyne. The polyynic structure of carbon chains with alternating triple and single bonds is unambiguously revealed by bond-resolved atomic force microscopy, and the decoupled polyynic carbon chain exhibits a band gap of 3.67 eV measured by scanning tunneling spectroscopy. Our results provide a feasible route for the synthesis of long and stable polyynic carbon chains, leading a way to the final preparation of carbyne.
Tumor growth ameliorates cardiac dysfunction and dampens fibrosis in a mouse model for Duchenne Muscular Dystrophy
Authors: Achlaug Laris , Awwad Lama , Goncalves Irina Langier , Goldenberg Tomer , Aronheim Ami 
Published: March 2023

Abstract
Heart failure and cancer are known to share common risk factors. Nevertheless, until recently, these two were considered separate diseases. Nevertheless, it appears that heart failure and cancer are more connected than initially anticipated. The interplay between heart failure and cancer represents a double-edged sword. While Cardiac remodeling promotes cancer progression, tumor growth suppresses cardiac hypertrophy and reduces fibrosis deposition. Whether these two opposing interactions are connected is currently unknown. In addition, the experimental setup used was unable to distinguish whether tumor growth suppresses de novo fibrosis synthesis or is capable of dissolving existing fibrosis as well. Here we studied a clinically relevant human disease, Duchenne Muscular Dystrophy (DMD), using MDX mouse as a model for a fibrotic disease in multiple organs. Duchenne patients suffer from fibrosis of the skeletal, cardiac, and diaphragm muscles leading to cardiomyopathy, and respiratory failure with no cure. To study the mutual interaction between heart failure and cancer, we implanted murine cancer cells in MDX mice and monitored tumor growth, cardiac function, and fibrosis. Surprisingly, cardiac dysfunction failed to promote cancer progression in MDX mice. In contrast, MDX tumor-bearing mice displayed reduced fibrosis in the lungs, heart and diaphragm muscles resulting in an improvement of cardiac contractile function. The latter is at least partially mediated via macrophage polarization towards M2 in the heart and diaphragm muscles. Collectively, our data support the notion that tumor promotion due to heart failure is an independent of cardiac dysfunction amelioration by tumor growth. Additionally, these results suggest that the reduced overall fibrosis in tumor-bearing MDX mice represents suppression of de novo fibrosis deposition as well as dissolving existing fibrosis in the heart and diaphragm muscles. Harnessing tumor paradigms may provide novel therapeutic strategies for DMD patients, human fibrotic diseases, and cardiac dysfunction.
Blockchain and IoT-Powered Carbon Credit Exchange for Achieving Pollution Reduction Goals
Authors: B Sai Shibu N 
Published: March 2023

Abstract
Carbon dioxide (CO2) emissions primarily contribute to global warming and climate change. The immediate source of CO2 emissions is burning fossil fuels like petrol, diesel, natural gas and coal, accounting for 78% of total emissions. CO2 emissions have risen since the late 1800s, reaching a record high of 33.1 billion tons in 2019. The paper proposes a Blockchain and IoT-based framework to track and trade carbon credits, aiming to reduce carbon dioxide emissions and mitigate their impact on global warming and climate change. We consider electrical energy as one use case for carbon emission and credit trading. The framework will monitor the energy usage of each entity, recording real time carbon emissions in a tamperproof blockchain ledger. Each entity will receive carbon credits based on the recorded emissions, which can then be traded on a blockchain exchange. This will enable entities with higher emissions to offset their emissions by purchasing credits from entities with lower emissions. The blockchain ledger ensures the authenticity and transparency of the carbon emissions data, promoting a secure and efficient solution for reducing carbon emissions. The paper also outlines a reward and penalty mechanism for consumers, encouraging them to reduce their carbon footprint and contribute to a more sustainable future. The paper discusses the blockchain and IoT-based carbon credit exchange architecture, including algorithms for estimating energy consumption, carbon emissions, reward, and penalty. The paper concludes with a proof of concept implementation using the Ethereum platform and a performance evaluation of the algorithms. The paper proposes a comprehensive solution for reducing carbon emissions and mitigating their environmental impact, leveraging the strengths of blockchain and IoT technologies.
An Efficient Sampling Framework for Graph Convolutional Network Training
Authors: Gacem Abderaouf , Seba Hamida , Haddad Mohammed 
Published: March 2023

Abstract

Graph Convolutional Networks (GCNs) are a subcategory of neural networks that can take a graph as input. They have been solicited lately due to their success and the ubiquity of data that can be represented as graphs. However, handling large graphs has been one of the main challenges for GCNs, along with the oversmoothing problem that can be caused by the depth or the large receptive field of GCNs. A lot of work has been done to address this problem with different approaches. A promising one is the consideration of the minibatch training paradigm and extending it to graph structured data by extracting subgraphs to be used as batches.
Unlike the entries of a dataset of images that are independent from one another, the essence of a graph is its topology structure, hence the dependency between its nodes. Thus, the strategy of selecting subgraphs to form minibatches is a difficult task with a huge impact on the results of the training process.
In this work, we propose a general framework for generating minibatches in an effective way that ensures a minimum loss in node interdependence information, preserves the original graph properties, and diversifies the samples for the GCN to better generalize afterwards.
We test our training process on real world datasets with several well known GCN models and show the results improvement compared to existing methods. The source code and data are publicly available at https://gitlab.liris.cnrs.fr/hseba/sffs-gcn.
Female's Journey to the State Superintendency
Authors: Sarah Tanner-Anderson  
Published: March 2023

Several studies have emerged over the past several decades attempting to pinpoint potential factors for occupational inequity and inequality for prospective and current female educational leaders. Although women are increasingly obtaining leadership positions in the field, one position has remained elusive to the aspiring female educational leader: the superintendency (Bilken & Brannigan, 1980; Brunner & Björk, 2001; Brunner & Grogan, 2007; Dana & Bourisaw, 2006; Mertz, 2006; Shakeshaft, 1987). Overcoming societal perceptions, handling hardships associated with attaining and maintaining one’s position, and building powerful, meaningful relationships are some of the foci of previous research; however, there seems to be a piece missing from the current available literature. While one may evaluate the struggles females have faced in attaining district-level superintendent positions, research detailing the female’s journey to the state superintendency remains incredibly limited to nonexistent. Through a postmodern-feminist lens, this qualitative study employs Harter and Monsour’s (1992) Self-in-Relationship (SIR) interview protocol, in addition to open-ended interview questions, to explore a conceptual framework blending perceptions, reality, and relationships that potentially impact females on the journey to and in service within the state superintendency. From a constructivist, Grounded Theory approach, the study investigates a glaring gap in the current available literature in an effort to answer the overarching question: Do female superintendents perceive gender as playing a role in fulfilling one’s duties at the state level?
Keywords: female state superintendent, gender and educational leadership