bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart Poultry Supported by Edge-Fog-Cloud Continuum: A Performance Evaluation Using Petri Nets
Authors: Barbosa Vandirleya , Sabino Arthur , Lima Luiz Nelson , Brito Carlos , Feitosa Leonel , Pereira Paulo , Silva Francisco Airton 
Published: October 2023

Abstract
The Internet of Things (IoT) application in agriculture provides rural poultry farmers with automated tools and decision support systems to increase productivity and profit. The integration of Edge, Fog, and Cloud Computing technologies in this scenario enables real-time data collection, processing, and analysis. This, in turn, empowers poultry farmers to make informed decisions, enhancing production efficiency and ensuring poultry quality. However, when implementing IoT devices, the challenge arises in dealing with a large volume of generated data. Delays in data transfer between the Edge, Fog, and Cloud layers can impact the system's real-time responsiveness. Slowness in the system's responsiveness can compromise performance, especially in poultry monitoring systems, which are time-sensitive, and an error could result in losses. This work proposes a Stochastic Petri Net (SPN) model to analyze the performance of an integrated smart poultry house with Edge, Fog, and Cloud Computing. The proposed model covers the analysis of metrics such as average response time, resource utilization, discard probability, and system throughput. Furthermore, the highly flexible model allows developers and system administrators to calibrate various parameters.
Exploring the impact of diabetes on the prognosis of gastric cancer patients based on the survival data of gastric cancer patients in NHANES database and the survival data of Chinese gastric cancer patients
Authors: Zhou Weiguo , Cheng Yixian , Chen Junjie , Chen Haosong , Wang Mingqing , Cao Wei , He Cuiqi , Zhao Qi , Zhang Peng , Wang Wei , Zheng Yun , Chen Bo 
Published: October 2023

Abstract
Objectives
At present, the prognosis of gastric cancer patients is poor, and many factors affect their prognosis. This study mainly explored the relationship between diabetes and the prognosis of patients with gastric cancer.
Methods
Collect clinical data of gastric cancer patients from the NHANES database from 1999 to 2020 and the First Affiliated Hospital of Anhui Medical University from 2015 to 2017. Integrating survival time, survival status, and covariates affecting prognosis in gastric cancer patients. To explore the relationship between diabetes and prognosis of gastric cancer patients by univariate and multivariate cox regression analysis
Results
In the clinical data of gastric cancer patients in NHANES database, in the three models constructed, there were differences between the history of diabetes and the prognosis of gastric cancer patients (p < 0.05). In the clinical data of gastric cancer patients in the first affiliated hospital of anhui medical university, there were differences between diabetes and gastric cancer prognosis in univariate and multivariate cox regression analysis (p < 0.05).
Conclusions
By analyzing the clinical data of gastric cancer patients in NHANES database and the First Affiliated Hospital of Anhui Medical University, we found that diabetes is a risk prognostic factor for gastric cancer.
Rumour detection using Graph Neural Network and oversampling in the benchmark Twitter datasets
Authors: Patel Shaswat , Bansal Prince , Kaur Preeti 
Published: October 2023

Abstract
Social media has become a significant source of essential facts and alarming falsehoods, including rumours. A significant increase in rumour spreading has occurred due to the lack of an autonomous rumour detection mechanism, causing widespread and severe social repercussions. To address this challenge, we present a ground-breaking method for developing an automatic rumour detection system, focusing on the fundamental problem of class imbalance in rumour detection. Our method selectively uses oversampling to obtain a uniformly distributed dataset by leveraging contextualised data augmentation techniques to generate synthetic samples for underrepresented classes. Additionally, we effectively recreate non-linear dialogues inside a thread using two novel graph neural networks (GNNs), which improves the system's capacity to understand complex links between postings. Our method employs a distinctive feature selection mechanism to enhance further Twitter representations based on the state-of-the-art BERTweet model. The thorough analysis of our methodology using three publicly accessible datasets yielded compelling results: 1) Our GNN models outperformed the most state-of-the-art classifiers in F1-score by more than 20%. Emphasizing the importance of our approach to developing sophisticated rumour detection systems. 2) By utilizing our oversampling method, we significantly improve the F1-score by 9%, highlighting the practical implications of resolving class imbalance. 3) Our technique delivers further performance increases through non-random selection criteria for data augmentation, with the selection of relevant tweets highlighting the significance of our novel augmentation strategy. 4) Notably, our approach captures rumours in their early stages more effectively than previous classifiers, establishing a baseline for future works. The innovative aspects of our proposed method lie in its ability to solve class imbalance effectively, outperform existing classifiers in terms of performance, and drastically reduce the propagation of rumours and false information on social media platforms. Our study lays the way for developments in rumour detection by offering a comprehensive solution, eventually helping to ensure the veracity of information flowing online. We are confident that our findings have an influence on the broader field of rumour detection systems and provide fresh directions for further study.
Bioinformatics analysis of the prognostic significance of VPS72 and correlations with immune infiltrates in hepatocellular carcinoma
Authors: Gui Huihui , Gui Yonghui 
Published: October 2023

Abstract
Background
VPS72 forms part of the EP400 and Snf2-related CBP-activator protein (SRCAP) chromatin remodeling complexes. The prognostic value of VPS72 in hepatocellular carcinoma is not known.
Methods
We used the ONCOMINE, UALCAN, GEPIA, STRING and TIMER databases to study the expression of VPS72 in hepatocellular carcinoma.
Results
We found that VPS72 overexpression was markedly correlated with both clinical stage and pathological grade in Liver hepatocellular carcinoma (LIHC), and that higher mRNA expression of VPS72 was significantly related to shorter overall survival. Moreover, we observed significant differences in the hypermethylation of the VPS72 promoter in liver cancer. Furthermore, we identified significant correlations between the expression of VPS72 and the infiltration of B cells, CD4 + T cells, CD8 + T cells, macrophages, neutrophils, and dendritic cells in LIHC. We then investigated the VPS72 protein interaction network using STRING.
Conclusion
VPS72 may be useful as a prognostic biomarker and immunotherapeutic target in LIHC patients.
Transcriptomics and root morphology analyses reveal the molecular mechanisms underlying the interaction between Mengnong Clover No.1 and rhizobium
Authors: Cao Kefan , Mu Yingtong , Liu Jiawei , Suo Rongzhen , Zhang Huimin , Ma Yiming , Wang Mingjiu 
Published: October 2023

Abstract
Background The regulatory mechanisms underlying symbiotic nitrogen fixation between rhizobium and legumes remain unclear.
Results In this study, integrated transcriptomics and root morphology analyses revealed that the inoculation of five rhizobial strains significantly increased root length, the number of tips, and nodule size in Mengnong clover No.1. Key genes involved in nitrogen metabolism, MAPK, and plant hormone signaling pathways were initially downregulated but later upregulated during the nodulation process, indicating their temporal regulatory roles in response to rhizobial infection. qRT-PCR confirmed the dynamic changes in gene expression.
Conclusions This study provides a comprehensive understanding of the essential molecular mechanisms involved in rhizobium-Mengnong clover No.1 symbiotic nitrogen fixation, laying the theoretical foundation for improving crop yields.
miRNA-seq analysis of high glucose induced osteoblasts provides insight into the mechanism underlying diabetic osteoporosis
Authors: Zhang Yang , Li Mengying , Lou Pengqiang , Zhang Minjie , Shou Dan , Tong Peijian 
Published: October 2023

Abstract

Diabetic osteoporosis (DOP) is a chronic complication resulting from diabetes mellitus. The objective of this study is to investigate the underlying pathological mechanisms responsible for bone loss in DOP. Specifically, we aimed to screen the miRNA biomarkers of DOP and investigated whether miRNAs regulate the osteoblasts and thus contribute to DOP. To achieve this, an animal model of DOP was induced through the administration of streptozotocin and subsequent treatment with a high fat diet. Bone microarchitecture and histopathology analysis were carried out. Rat calvarial osteoblasts (ROBs) were induced by high glucose (HG). MiRNA-sequencing was employed to compare the miRNA profiles of HG-induced ROBs and control ROBs. The proliferation and mineralization abilities of ROBs were assessed using MTT assay, alkaline phosphatase, and alizarin red staining. The expression levels of osteoglycin (OGN), Runx2, and ALP were determined through qRT-PCR and Western blot analysis. The miRNA-sequencing results revealed a significant upregulation of miRNA-702-5p. The luciferase reporter gene was utilized in order to investigate the correlation between miR-702-5p and OGN. In vitro experiments demonstrated impaired proliferation and mineralization abilities induced by high glucose. The expressions of OGN, Runx2, and ALP were found to be inhibited. Interference of miR-702-5p resulted in the downregulation of OGN, Runx2, and ALP, which were subsequently upregulated through OGN overexpression. Furthermore, the downregulation of OGN and Runx2 in the femurs of DOP rat models has been confirmed. Consequently, it is reasonable to propose that the miRNA-702-5p/OGN/Runx2 signaling axis could potentially function as a mechanism underlying DOP. This newly discovered mechanism holds promise as a diagnostic biomarker and therapeutic target not only for DOP but also for other forms of osteoporosis.
Stochastic Fractional Conservation Laws: Large deviation principle, Central limit theorem and Moderate deviation principle
Authors: Behera Soumya Ranjan , Majee Ananta Kumar 
Published: October 2023

Abstract
In this article, we establish the Freidlin-Wentzell type large deviation principle and central limit theorem for stochastic fractional conservation laws with small multiplicative noise in kinetic formulation framework. The weak convergence method and doubling variables method play a crucial role. As a consequence, we also establish moderate deviation principle for the underlying problem.
Neural Network (ConvNN &amp; CapNN) based joint synchronization of timing and frequency for CO-OFDM system
Authors: Kaur Gurpreet 
Published: October 2023

Abstract

The Quantum Noise Stream Cipher (QNSC) is offering very high security in physical layer of optical fiber communication network to meet the today’s main requirement of secure networks. However, the problem of timing and carrier frequency offset synchronization was higher for CO-OFDM systems using QNSC for network security. For higher-order modulation systems, the algorithms used to overcome this problem are offering very low accuracy. In addition to this, the chances of attack by an illegal receiver are more due to no encryption used for the preamble creation. Existing algorithms used to create a new preamble is: CNI (conjugate, negative, and image) with PN sequence and CNC (conjugate and negative) with Chu sequence. In this paper, ConvNN (Convolutional Neural Network) and CapNN (Capsule Neural Network) based joint synchronization of timing and frequency for CO-OFDM system is proposed. From the experiments, performed at 10Gbps, it has been illustrated that the proposed networks are giving more robust results. In addition to these proposed networks are offering better and secure performance for both timing and frequency offset synchronization by using less training data.
Research on rock mass structure classification of adit based on 3D block index
Authors: Dong Jun , Chen Qingqing , Yuan Guangxiang , Xie Kaiyan 
Published: October 2023

Abstract
This article takes the long exploratory tunnel CPD1 of the water transmission and power generation system of Qingtian Pumped Storage Power Station in Zhejiang Province as the research object, and conducts a study on the classification of flat tunnel rock mass structure based on three-dimensional joint network simulation. Based on the grouping distribution of joints, statistical homogeneous zone segmentation is conducted, and a three-dimensional joint network model is generated based on statistics and probability, with each segment as a unit. On the front, side, and top surfaces of the 3D joint network model, virtual survey lines are arranged along the centroid and other angles to represent drilling holes. The RBI values of 108 virtual survey lines on three orthogonal planes are calculated, and the 3D block index of the rock mass is used to refine the classification of the rock mass structure in the adit. The results indicate that the rock mass structure type of CPD1 in the long exploration tunnel is from overall to block structure, with integrity ranging from complete to relatively complete.
Dynamics of an SIS patch model with delayed media impact
Authors: Zhang Hua , Wei Junjie 
Published: October 2023

Abstract
In this paper, we study an SIS epidemic patch model with media delay. We define the basic reproduction number $\mathcal{R}_0$ and show that the disease-free equilibrium is globally asymptotically stable if $\mathcal{R}_0<1$ and the disease is uniformly persistent if $\mathcal{R}_0>1$. When the dispersal rates of susceptible and infected populations are identical and less than a critical value, we prove that the limiting model has a unique positive equilibrium, and analyze the stability of the positive equilibrium and the local and global existence of Hopf bifurcations. Finally, some numerical simulations are performed.
MSC 2010: 92D25, 92D50, 34K13, 34K18
Exploring the impact of ‘hostile environment’ policies on psychological distress of ethnic groups in the UK: a differences-in-differences analysis
Authors: Dotsikas Kate , McGrath Michael , Osborn David , Walters Kate , Dykxhoorn Jennifer 
Published: October 2023

Abstract

Purpose
In 2012, the UK government announced policies designed to create a ‘hostile environment for illegal migration.’ This included sweeping changes immigration legislation which included the introduction of immigration controls enforced by employers and landlords and anti-migrant rhetoric in the press. In this paper, we measured changes in psychological distress among people from ethnic minoritised groups compared to White British controls from prior to the introduction of the hostile environment policies through their implementation.
Methods
We used Understanding Society, a UK longitudinal household survey from 2009 to 2020 (Waves 1 to 10). We included six ethnic groups: Bangladeshi, Black African, Black Caribbean, Indian, Pakistani, and White British. We used difference-in-difference models to estimate the marginal mean psychological distress score, as measured by the General Health Questionnaire (GHQ-12) during the three eras: pre-policy era (2009–2012); (2) transition era (2012–2016); and (3) ongoing policy era (2016–2020).
Results
In the pre-policy era, we found elevated levels of psychological distress (marginal mean = 2.70), Bangladeshi and Caribbean groups (marginal mean = 2.47) compared to the White British group (2.08). Psychological distress increased during the transition era for the Pakistani and Bangladeshi groups (2.92 and 2.71, respectively), and continued to rise in the ongoing policy era for the Bangladeshi group (2.80). We observed lower psychological distress in the African group in the pre-policy era (2.16), decreasing in the transition era (1.91), and a small increase in the ongoing policy era (1.95). The Indian group showed similar patterns to the African group. In contrast, psychological distress remained stable across all three eras for the White British group.
Conclusion
Psychological distress increased in Pakistani and Bangladeshi individuals following the introduction of hostile environment policies. We did not find an impact for Indian, African, or Caribbean groups. This finding underscores the importance of disaggregating analyses by ethnic group to capture the distinct identities and experiences and how these intersect with mental health.
The Impact of Reference Group on the new product adoption
Authors: Abdou Naiyera Hassan 
Published: October 2023

Abstract
The purpose of this study is to determine what specifically the reference groups are, and what the new product adoption is and what the social factors that can affect it are. And to figure out whether there’s a direct relationship between formal and informal reference groups and the new product adoption. Then, the two major types of reference groups, formal and informal, will be identified. Finally, the theoretical framework will make its way toward investigating the variant reference groups sub-types’, and how they can influence the new product adoption. A survey-based research strategy has been adopted a survey of 411 respondent. The sample’s majority aged less than 40 years with post-graduates’ education and worked in private organizations. The findings of this study supported the hypotheses if there is a relationship between opinion leaders, celebrities (formal reference groups) and family members and friends (informal reference groups)on the new product adoption. Finally, it was concluded that opinion leaders had the highest significant influence when it comes to product adoption. Celebrities as well as friends had also a significant impact on product adoption. Family on the other hand had an insignificant impact on product adoption.. This study was done to understand the impact of reference groups influence on the product adoption. It observed the effect of reference group influence improve the adoption of new products.
A Scoping Review On The Impact Of Algorithm Bias On The Perceived Fairness
Authors: Saryazdi Amirhossein Hajigholam , Mirhosseini Mahdi 
Published: October 2023

Abstract
Artificial intelligence (AI) based algorithms increasingly shape our daily lives. These algorithms can be biased in a way that compounds injustice in society. This affects how people perceive the fairness of the algorithms, but little is known about the mechanism and scope. To address this research gap, this study conducts a scoping literature review of published papers representing the current state of the research. Then develops a novel theoretical model about the impact of algorithm bias on perceived fairness by synthesizing common themes namely: algorithm bias, algorithm fairness, perceived fairness, individual characteristics, social characteristics, task characteristics, and technology characteristics. The paper concludes by formulating propositions that highlight the significant gap in the literature, contribute to a better understanding of the relationships between identified themes and their components, and provide a roadmap for future research.
Exploratory study on the influence of geometric parameters on buckling and post-buckling behaviors of composite curved plates under external pressure
Authors: Li Chenghu 
Published: October 2023

Abstract
This paper investigates the effects of various geometric parameters, such as ply angle, side length, aspect ratio, curvature, and thickness, on the buckling and post-buckling behaviors of composite curved plates under external pressure. For this purpose, a model for nonlinear buckling analysis is proposed, and an experimental device is designed for the study. Analysis results indicate that the external pressure deformation of the composite curved plate can be divided into three stages: non-buckling, buckling, and post-buckling stages. The buckling region of the curved plate under external pressure is primarily localized in two regions: the central region of the curved plate (an ellipse) and the non-central region (two ellipses). Buckling occurs in one of these two regions based on the geometric parameters of the curved plate, and in a few cases, it occurs in both regions simultaneously. The study found that a few curved plates with specific geometric parameters exhibit instability in the post-buckling stage. Moreover, the study results indicate the significant changes in the critical buckling external pressure of the curved plates in response to changes in the geometric parameters of the curved plates.
Investigating the Use of Virtual Reality to Improve Speaking Skills: Insights From Students and Teachers
Authors: Ironsi Chinaza Solomon 
Published: October 2023

Abstract
There is ongoing scientific discussion on the role of innovative technologies in enhancing teaching and learning. Technologies like Augmented Reality, Virtual Reality, Mixed Reality, Artificial Intelligence, and Generative Artificial Intelligence have sparked debates in the broader literature. To contribute to ongoing discussions on these topics and to bridge gaps existing in works of literature on the potentials and challenges of innovative technologies like Virtual Reality, this paper provides insights from students and teachers on the use of Virtual Reality for teaching speaking skills so far lacking in academic prose in this domain. Given that this study only focused on obtaining student and teacher insights, a mixed-method research design that used questionnaires and interviews was implemented to investigate this study. After obtaining and analyzing data from 85 participants, the study found that although Virtual Reality could have improved students' speaking skills more efficiently, it was a fun and exciting learning experience for the students and teachers. Other novel findings of the study were instrumental in making pedagogic conclusions on the study's objective.