bluuebunny/crossref_metadata_2025_split huggingface dataset:
TRPV1 participates in neuropathic pain after spinal cord injury by mediating the proliferation and activation of CX3CL1-positive glial cells in the spinal dorsal horn
Authors: Wei Liangfeng , Huang Yubei , Chen Kaiqing , Chen Yehuang , Xue Liang , Wu Jianwu , Zheng Zhaocong , Wang Shousen 
Published: October 2022

Abstract
Background
Patients with spinal cord injury (SCI) often present with different degrees of neuropathic pain (NP). Glia-mediated inflammatory response plays a key role. The transient receptor potential vanilloid subtype 1 (TRPV1), as an ion channel receptor closely related to pain, plays an important role in NP, although its mechanism remains unclear. We explored the role of TRPV1 in NP after SCI and its effect on the proliferation and activation of C-X3-C motif chemokine ligand 1 (CX3CL1)-positive glial cells.
Methods
The SCI rat model was established using the modified Allen’s spinal cord injury model. After SCI, rats in each group were administered the TRPV1 antagonist SB705498 (10 mg/kg) or 2 mL of vehicle intragastrically for 7 consecutive days. The hindlimb motor function of rats after injury was assessed by the Basso, Beattie, and Bresnahan rating scale; Von Frey fibres and plantar thermal stimulation were used to evaluate the changes in rats’ mechanical paw withdrawal threshold (PWT) and thermal paw withdrawal latency (PWL), respectively; haematoxylin and eosin staining, double immunofluorescent staining, and Western blotting were used to investigate the role of TRPV1 in NP after SCI and its effect on the proliferation and activation of CX3CL1-positive glial cells.
Results
The chemokine CX3CL1 was mainly expressed in the dorsal horn neurons of the spinal cord and also to a certain extent in microglia, astrocytes, and oligodendrocytes after SCI. The expression of TRPV1 and CX3CL1 in the dorsal horn of the spinal cord in rats was significantly upregulated, and the PWT and PWL of rats were significantly decreased after SCI. The TRPV1 antagonist not only inhibited the activation of TRPV1, but also significantly inhibited the apoptosis of neurons and oligodendrocytes and proliferation and activation of inflammation-related CX3CL1-positive glial cells induced by SCI.
Conclusion
These results suggest that TRPV1 is involved in the occurrence and development of NP after SCI in rats by mediating the proliferation and activation of CX3CL1-positive glial cells in the dorsal horn of the spinal cord; inhibition of TRPV1 activity attenuates the proliferation and activation of CX3CL1-positive glial cells, thereby reducing symptoms of central sensitisation.
The Effect of Periodontitis on Aggravating Rheumatoid Arthritis: a Systematic Review and Meta-analysis
Authors: Eshetu Daniel , Shamebo Tsegaye , Assafa Nega 
Published: October 2022

Abstract

Introduction: Periodontitis (PD) & Rheumatoid arthritis (RA) are chronic destructive inflammatory conditions which are caused by pathogenic oral bacteria and deregulation of the host inflammatory response. Even though; there has been increasing evidence were showed as these two diseases co-occur, little is known about the effect of periodontitis on aggravating Rheumatoid Arteritis. Therefore, the aim of this systematic review and Meta-analysis is to clarify the effect of PD on aggravating RA from all selected studies in Asia countries
Methods: This systematic review was conducted in Asian countries and the database used was PubMed and Google scholar. Additional articles were also retrieved by using cross-referencing of references. Studies that reported the association or the effect of periodontitis on rheumatoid arthritis in Asia were eligible for this systematic review. The search was limited to publications written in the English language and published between 2012 and 2022. Two authors independently appraised the articles, and the data were extracted using a standardized data extraction format. The findings were synthesized using a narrative summary, tables, and figures.
Result: Seventeen studies meet the inclusion criteria and were used for this systematic review. The result showed that Periodontitis was significantly increases the appearance of Rheumatoid Arthritis. It has been reported that PD is strongly associated with the presence of ACPAs and other outcome of Rheumatoid Arthritis Following periodontitis in the pathogenesis and also in the maintenance of systemic inflammation in RA.
Conclusion: This systematic review concludes, there is suggestion that indicate an individual suffering from periodontitis is more likely to develop RA, this can be observed from higher ACPA, CRP, RF and ESR values, a common genetic predisposition that are associated with HLA gene complex and pro-inflammatory cytokine response in RA patients with periodontitis compared to RA patients without periodontitis.
The $c$-differential spectrum of $x\mapsto x^{\frac{p^n+1}{2}}$ in finite fields of odd characteristics
Authors: Stanica Pantelimon , Riera Constanza , Yan Haode 
Published: October 2022

Abstract
In the paper, we concentrate on the map x → x pn+1/2 on Fpn and using combinatorial and number theory techniques, we compute its detailed c-differential spectrum for all values of c ≠ 1 (the spectrum for c = 1 is known).
Graph Attention Networks Unveil Determinants of Intra- and Inter-city Health Disparity
Authors: Liu Chenyue , Fan Chao , Mostafavi Ali 
Published: October 2022

Abstract
Understanding the determinants underlying variations in urban health status is important for informing urban design and planning, as well as public health policies. Multiple heterogeneous urban features could modulate the prevalence of diseases across different neighborhoods in cities and across different cities. This study examines heterogeneous features related to socio-demographics, population activity, mobility, and the built environment and their non-linear interactions to examine intra- and inter-city disparity in prevalence of four disease types: obesity, diabetes, cancer, and heart disease. Features related to population activity, mobility, and facility density are obtained from large-scale anonymized mobility data. These features are used in training and testing graph attention network (GAT) models to capture non-linear feature interactions as well as spatial interdependence among neighborhoods. We tested the models in five U.S. cities across the four disease types. The results show that the GAT model can predict the health status of people in neighborhoods based on the top five determinant features. The findings unveil that population activity and built-environment features along with socio-demographic features differentiate the health status of neighborhoods to such a great extent that a GAT model could predict the health status using these features with high accuracy. The results also show that the model trained on one city can predict health status in another city with high accuracy, allowing us to quantify the inter-city similarity and discrepancy in health status. The model and findings provide novel approaches and insights for urban designers, planners, and public health officials to better understand and improve health disparities in cities by considering the significant determinant features and their interactions.
Central desks as an approach for health governance in conflict settings – case studies from northwest Syria
Authors: Aref Maher Al , Zoubi Zedoun Al , Khalil Munzer Al , Abdulla Orwa Al , Ekzayez Abdulkarim 
Published: October 2022

Abstract

Background: The conflict in Syria affected severely the health sector; health infrastructure was damaged, the Damascus ministry of health withdrew from opposition held areas, health workers fled the country, and there has been always a shortage of funding and medical supplies. To address these needs, Syrian NGOs, INGOs, donors, and UN Agencies have been providing health interventions through humanitarian channels. However, many of these interventions were short termed, and there was no governance framework to guide the newly introduced parallel system, leaving it subject to individual organizations’ strategies and approaches.
To counter these challenges, local communities and Syrian NGOs established new platforms to govern and coordinate certain aspects of the health sector. These platforms are called “central desks”, which are perceived to be independent and neutral structures and can coordinate services between all actors. Examples of these structures are Syrian Immunization Group (SIG), Health Information System (HIS), the Infection Protection and Control initiative (IPC), and the Referral System network.
Methods: The research was based on an institutional approach to governance as presented by (Abimbola et. Al, 2017) and (Baez-Carmago and Jacobs, 2011) of health governance. We have investigated the central desks across the main themes; governance inputs of these central desks, such as strategic vision and legitimacy; governance processes, such as accountability and transparency, and governance outcomes, such as effectiveness and efficiency. Further to intensive literature review, eight focus group discussion were conducted, average pf 12 participants. Key themes then were deducted and coded. The qualitative analysis was done using NVIVO 12 software.
Conclusion: Central desks, that are not part of national ministries of health, are new innovative approaches that can increase the efficiency of health interventions in conflict settings. The detailed features of such desks should be context specific and locally informed and led.
Visual cryptography using neighborhood based encryption techniques in the framework of cellular automata.
Authors: Mallapuram Venu gopal , E G Rajan 
Published: October 2022

Abstract
Security of digital data during data communication, data exchange, data authentication is very important. Many authentication techniques are used to secure data. Visual cryptography is one of the methods which creates signatures by applying nonlinearity into the data. The signatures consist of cipher and the key. At the receiving end if the key and the cipher match then the authentication is done. Through this visual cryptography technique the users hide information securely based on key authentication. This paper discusses another approach to visual cryptography using neighborhood based encryption techniques in the framework of cellular automata. A cellular automata have a grid of cells. This cells have either value 0 or 1. These values are changed to next state level in a discrete way with respect to time using some fixed rule. A ‘Cellular Automaton’ (CA) is a 2-dimensional [25] finite array of lattice points called cells together with an updating rule that involves values of a cell and of some predetermined neighborhood cells [40][41]. Cellular automaton rules for visual cryptography are defined. These rules consists of Neighborhood generation phase and signature generation phase. A sample array is considered. Using cellular automaton rules encryption and decryption is done on sample array.
Survey the Impacts of Covid19 Vaccine on Economic Condition and Sustainable Development Goals Along with Forecasting Daily New Death Cases in Iran Based on Artificial Intelligence Methods
Authors: Farahani Milad Shahvaroughi , Esfahani Amirhossein 
Published: October 2022

Abstract
The aim of this article is to examine the impacts of Covid19 vaccines on economic condition and sustainable development goals. In other words, we are going to study the economic condition during Covid19. We have studied the economic costs of pandemic, benefits in terms of gross domestic product (GDP), public finances and employment, investment on vaccines around the world, progress and totally the economic impacts of vaccines and the impacts of emerging markets (EM) on achieving sustainable development goals (SDGs), including no poverty, good health and well-being, zero hunger, reduced inequality etc. The importance of emerging economies in reducing the harmful effects of the Corona has also been noted.
We have tried to do experimental results and forecast daily new death cases from Feb-2020 to Aug-2021 in Iran using Artificial Neural Network (ANN) and Beetle Antennae Search (BAS) algorithm as a case study with econometric models and regression analysis.
The findings show that Covid19 has had devastating economic and health effects on the world, and the vaccine can be very helpful in eliminating these effects specially in long-term. We observed that there is inequality in the distribution of Corona vaccines in rich countries compared to poor which EM can decrease the gap between them.
The results show that both models (i.e., Artificial intelligence (AI) and econometric models) almost have the same results but AI optimization models can robust the model and prediction.
The main contribution of this article is that we have surveyed the impacts of vaccination from socio-economic viewpoint not just report some facts and truth. We have surveyed the impacts of vaccines on sustainable development goals and the role of EM in achieving SDGs. In addition to using the theoretical framework, we have also used quantitative and empirical results that have rarely been seen in other articles.
JEL Codes: E0, F0, I0
Biodiversity conservation at the digital age, will Africa meet the challenge?
Authors: GANGLO Jean Cossi 
Published: October 2022

Abstract

Digital accessible Knowledge (DAK) is of utmost importance for biodiversity conservation; indeed, their use is indispensable to provide evidence and strategies to support decision-making on natural resource management and sustainable use. The Global Biodiversity Information Facility (GBIF, www.gbif.org) is a mega data infrastructure with more than two billion occurrence records as of 28th May 2022. It is by far the largest initiative assembling and sharing DAK to support scientific research, conservation, and sustainable development. We decided to analyze plant data published on GBIF site at the scale of Africa. This will highlight the contribution of the continent to GBIF and thereby underline data gaps across taxonomic groups, basis of records, and geographic space. In order to achieve our purpose, we downloaded data of the Plantae kingdom from Africa. They are available at https://doi.org/10.15468/dl.f79228. We achieved data treatment and analysis using R, several packages and related functions. Although Africa is home to a rich biodiversity with many hotspots, the global data contribution of Africa to GBIF is still incredibly low (1.37%). Furthermore, there are huge disparities between African countries with South Africa contributing alone for 65% of the data of the continent. The plant data of Africa (2,713,790 occurrence records) accounted for 9.11% of the data of the continent; this underlines huge gaps between taxonomic groups. Furthermore, the Magnoliopsida is the dominant plant class with the highest number of records (79.62%) and the highest number of species (71.85%) followed by the Liliopsida with 15.10% of the records and 18.16% of the species. Two basis of records were dominant: preserved specimens (75.49%) and human observation (18.60%). In geographic space, plant data gaps are also quite huge across the continent at either spatial resolution (half degree or one degree spatial grid cells); data completeness is more achieved in West Africa, East Africa, Southern Africa, and Madagascar. The huge multidimensional data gaps identified in this study should be in priority addressed in the future data collections. Accessibility either by roads or waterways and protected areas are underpinning factors of data completeness across the continent. We deplored important data loss during the process of data cleaning; indeed the total number of records with adequate coordinates accounted for 71.03% of the initial data while the data fitness for use in completeness analysis (records with adequate coordinates and full dates) are only about 65% of the total data records initially downloaded.
Cuproptosis-Associated Long Noncoding RNAs Signature to Predict Prognosis and the Immunotherapy Response in Esophageal Cancer
Authors: Zhao Tingting 
Published: October 2022

Abstract
Background: Cuproptosis and lncRNAs are the current research hotpots,which had been verified to play a major role in the occurrence and development of tumors.Nevertheless, the effects of cuproptosis-related lncRNAs on EC remain unclear.This study is intended to identify cuproptosis-related lncRNAs to predict their prognostic role and immune landscape in EC.
Methods: Transcriptome profiling data and clinical data from EC patients were available from the TCGA database.A risk prognostic model of cuproptosis-related lncRNAs was constructed by co-expression, univalent analysis, LASSO analysis and multivariate analysis.Supported by the risk score and clinical characteristics, we subsequently developed a mixed nomogram. Finally,We performed immune microenvironment analysis taken into account this signature.
Results: 297 cuproptosis-related lncRNAs were obtained as a result of co-expression.The Cox model revealed and constructed three cuproptosis-related lncRNAs prognostic models,including RP11_258C19.7, RP11_408E5.5, RP11_796E10.Patients were subdivided into high-risk and low-risk groups. The Kaplan-Meier survival curve and receiver operating characteristic curve revealed that the model had accurate predictive ability.Univalent and multivariate Cox analysis showed that the risk score was just an independent prognostic factor. Most notably, patients with higher risk scores had higher TMB score and lower TIDE score, suggesting that these patients showed a better response to immunotherapy.
Conclusion: A prognostic feature model based on cuproptosis-related lncRNAs has the potential to be laid down the survival, immune environment and immunotherapy efficacy of EC, which is helpful for clinical prediction and individualized treatment.
High levels of biofilm formation and prevalence of biofilm-associated genes in Staphylococcus aureus isolated from food handlers in Brazil
Authors: Rosa Rafael Da Silva , Pereira Giovana do Nascimento , Gonçalves Diego Junior Santos , Dias André Aparecido , Seribelli Amanda Aparecida , Eller Lizziane Kretli Winkelstroter , de Carvalho Thais Batista , Pereira Valéria Cataneli 
Published: October 2022

Abstract
Staphylococcus aureus is an important pathogen associated with various infections, including foodborne outbreaks worldwide. Due to possible contamination during food preparation by food handlers, the presence of this species in kitchens environmental is a risk to global health, mainly S. aureus biofilm-producing. Moreover, there are few reports of the evaluation of biofilm production of S. aureus obtained from food handlers in Brazil. The study aimed to characterize phenotypically and genotypically biofilm production associated with ica-dependent and ica-independent genes in S. aureus isolated from food handlers in this country. A total of 74 Staphylococcus sp. strains were isolated and 37 (50%) were identified as S. aureus through the sau gene detection. All S. aureus strains exhibited a high ability to form biofilm and detected several genes involved in this process, spotlighting the icaA (86.5%), icaD (86.5%), sasG (78.7%), atlA (78.7%) and aap (78.7%). Furthermore, the predominance of biofilm-associated genes in the strong biofilm-producing isolates by TB and TCP was found, presenting a significant association between methods and genes detected (p = < 0,05). In conclusion, the food handlers are essential to food security, which can be reservoirs of important opportunistic pathogens, including S. aureus biofilm-producing, triggering the transmission of this genus isolated worldwide.
Nutrient resorption and stoichiometric characteristics of Wuyi rock tea cultivars
Authors: Zhu Dehuang , Peng Suhong , Yu Shengjie , Liu Wenzhen , Hui Dafeng 
Published: October 2022

Abstract
Nutrient resorption is an important strategy for obtaining nutrition, it determines the ecosystems productivity and nutrient cycling. The Wuyi rock tea cultivars are used as important species for controlling soil erosion in hilly mountainous areas, but the mechanism of nutrient resorption is still unclear. The Wuyi Rock tea (Camellia sinensis) plantations are the main economic crops in Fujian province, China, and also have important ecological functions. The tea plants can absorb and conserve nutrients from the senesced leaves, but foliar nutrient resorptions of Wuyi Rock tea cultivars have not been well quantified. Three Wuyi Rock tea cultivars (e.g., Wuyi Jingui, Wuyi Rougui, and Wuyi Shuixian) were chosen in the Wuyishan National Soil and Water Conservation & Science and Technology Demonstration Park this study. Resorption efficiencies of nitrogen (NRE), phosphorus (PRE), potassium (KRE) and their stoichiometric characteristics were determined. KRE and NRE of the three tea cultivars were significantly higher than PRE, indicating that P was more limited than N and K. With the exception of Wuyi Rougui, the other two cultivars (Wuyi Jingui and Wuyi Shuixian) had strong stability in the leaf N and P contents under the changing soil environments. Leaf nutrient and leaf traits such as leaf thickness and specific leaf area had significant correlations with nutrient resorption efficiencies, indicating that leaf nutrient and traits can be used as indicators for nutrient resorption status. Wuyi Rock tea cultivars have strong adaptability to the environment, and they also have high carbon sequestration ability. Simultaneously, Wuyi Rock tea cultivars can reabsorb nutrients and be introduced into nutrient poor mountainous areas for soil and water conservation.
Local Chemical Enhancement and Gating of Organic Coordinated Ionic-Electronic Transport
Authors: Khan Tamanna , McAfee Terry , Ferron Thomas , Alotaibi Awwad , Collins Brian 
Published: October 2022

Abstract
Superior properties in organic mixed ionic-electronic conductors (OMIECs) over inorganic counterparts have inspired intense interest for biosensing,1 soft-robotics,2,3 neuromorphic computing,4 and smart medicine.5 However, slow ion transport in these materials continues to limit their application in these technologies. Here we demonstrate that hydrophilic molecules local to an interfacial OMIEC nanochannel can accelerate ion transport with ion mobilities surpassing electrophoretic transport by more than an order of magnitude. Furthermore, ion access to this interfacial channel can be gated through local surface energy. We apply this mechanism in a novel sensing device, which electronically detects and characterizes chemical reaction dynamics local to the buried channel. The ability to enhance ion transport at the nanoscale in OMIECs as well as control ion transport through local chemical signaling enables new functionalities for printable, stretchable, and biocompatible mixed conduction devices.