bluuebunny/crossref_metadata_2025_split huggingface dataset:
Casein and its pepsin and trypsin hydrolysates of goat milk reduces temporomandibular joint inflammatory hypernociception in rats: Putative role for TNF-α, IL-1β, and IL-10
Authors: Braga Samilla Pontes , Fernandes Maria Ester Frota , Bezerra Mirna Marques , Basílio Sarah Rodrigues , Meneses Ariely Marques Oliveira , Barbosa Paula Perazzo Souza , Gadelha Carlos Alberto Almeida , Gadelha Tatiane Santi , Oliveira Sebastiao Carlos Sousa , Monteiro Dina Andressa Martins , Junior Manoel Vieira Nascimento , Reis Tiago Sampaio , Pinto Vicente de Paulo Teixeira , Pereira Karuza Maria Alves , Lima Ellen de Assis , Silveira Felipe Dantas , Alexandre Joanna Trycia Magalhães , Chaves Hellíada Vasconcelos 
Published: November 2022

Abstract
Temporomandibular Disorders (TMDs) is a group of musculoskeletal and neuromuscular conditions involving the temporomandibular joints (TMJs), the masticatory muscles and all associated tissues. As there are no records on the activity related to proteins derived from goat milk involving inflammation in the TMJs, this study investigated the antinociceptive activity of casein (FCN), obtained by isoelectric precipitation of goat milk at pH 4.1, and its hydrolysates, obtained by hydrolysis with pepsin and trypsin (HDP and HDT, respectively). Pre-treatment with casein (1 mg/kg), HDP (1 mg/kg), or HDT (1 mg/kg) significantly reduced the nociceptive behavioral response (56.8 ± 9.17; 78 ± 8.28; and 86.0 ± 5.91, respectively) significantly reduced the nociceptive behavioral response, when compared to formalin group (177.7 ± 3.96). Although the efficacy of hydrolysates is independent of the HO-1 and NO pathways, their antinociceptive efficacy appear to depend on TNFα, IL-1β and IL-10 involvement. In fact, both HDP and HDT reduced TNF-α and Il-1β immunistaining in synoviocytes from synovial membranes and in trigeminal ganglion. Regarding IL-10, HDP increased IL-10 immunistaining in the synoviocytes from the TMJ synovial membrane and in the intercellular matrix. Also, HDT increased IL-10 immunistaining in both synovial membrane and trigeminal ganglion. Taken together our data suggest that the efficacy of casein fraction and its hydrolysates of goat milk in formalin-induced TMJ inflammatory hypernociception in rats involves, at least in part, TNF-α and IL-1β inhibition, and IL-10 secretion. Thus, considering the safety profile of goat milk, we postulated that CNF, HDP, and HDT, could offer a novel way to treat TMJ pain.
ACTL6A deficiency attenuates UV-induced cellular senescence in human dermal fibroblasts via inducing apoptosis
Authors: xia qingyue , cheng yuxin , Ma Liwen , lu zhiyu , Lu Qian , zeng Ni , wang Zuoxiang , Luo Dan 
Published: November 2022

Abstract
Background
Ultraviolet irradiation (UVR) can induce both cellular senescence and cell apoptosis, which is mainly determined by the DNA damage response. The mechanism that determines the cellular outcome after UVR has not been fully illuminated.
Objective
To investigate the role of ACTL6A in the response of human dermal fibroblasts to UVR.
Methods
Human dermal fibroblasts were used to find the function and mechanism of ACTL6A in photoaging and verified in mice.
Results
ACTL6A expression was significantly increased both in vitro and in vivo after UVR exposure. Interference ACTL6A expression in HDFs inhibited the UVR stress-induced premature senescence, intracellular ROS production and SASP secretion. Meanwhile, knockdown of ACTL6A promotes apoptosis of senescent cells.
Conclusion
ACTL6A exhibited a critical role in resolving the cell fate under UVR and maybe a potential target for the therapy of UV-induced diseases and UV-needed diseases.
Prevalence of inadequate completion of computed tomography request forms submitted to public and private medical imaging centres in Ashanti Region of Ghana: a retrospective audit
Authors: Donkor Andrew , Wiafe Yaw Amo , Adjei Alberta Naa , Semetey Jonathan , Acquah Jude , Asamoah Ama Buamah , Yeboah Philip Amankwah , Agyei Benedict 
Published: November 2022

Abstract
Introduction
: Medical imaging facilities provide an important healthcare service under which physicians can make diagnosis and administer care and treatment to patients. However, computed tomography (CT) scan request forms submitted to medical imaging facilities are usually inadequately completed. The aim of the current study was to determine the prevalence of inadequately documented CT-scan request forms submitted to public and private medical imaging centres in Ghana.
Methods
A retrospective audit of CT-scan request forms was conducted. The study was conducted in two medical imaging facilities (public and private) in Kumasi in the Ashanti Region, Ghana. The CT-scan request forms submitted between 1st January to 30th December 2021 were reviewed. Data was collected using an extraction form designed based on the literature. The data extraction form collected the following variables: patient demographics; clinical information; referring physician information; and procedure information. Descriptive analyses were undertaken. Log-linear regression model was used to calculate rate ratio and 95% confidence interval for prevalence of completeness across the CT-scan request forms.
Results
A total of 480 CT-scan request forms were reviewed (240 from each medical imaging centre). More than half (n = 121, 50.4%) of the patients in the public and 62.5% (n = 150) in the private medical imaging centre were males. The mean age of patients was 49.5 ± 19.6 year. The overall prevalence of inadequately completing CT-scan request forms was 0.752% (95% CI: 0.719–0.787; p < 0.001). Reasons for referral were documented on 391 (81.5%) of the CT-scan request forms, which was highest in the private medical imaging centre (n = 232, 96.7%).
Conclusion
The prevalence of inadequately completing patient demographic, clinical and physician information on CT-scan request forms is alarming. Efforts to eliminating barriers to inadequately completing CT-scan request forms will require deliberate organisational system strengthening.
Characteristics of the peripapillary structure and vasculature in patients with myopic anisometropia
Authors: Qiao Yilin , Cheng Dan , Ruan Kaiming , Yu Jiafeng , Zhang Zhengxi , Zhu Xueying , Gao Weiqian , Wu Minhui , Shen Meixiao , Ye Yufeng , Shen Lijun 
Published: November 2022

Abstract

Background To evaluate the interocular differences of the peripapillary structural and vascular parameters and that of association with axial length (AL) in participants with myopic anisometropia using swept-source optical coherence tomography (SS-OCT). Methods This prospective cross-sectional study included 88 eyes of 44 participants. Eyes were classified into the longer and the shorter eye group according to ALs. The β- and γ-parapapillary atrophy (PPA) areas, Bruch’s membrane opening distance (BMOD), border length (BL), and border tissue angle (BTA) were measured manually. MATLAB software determined peripapillary choroidal vascularity index (CVI) and choroidal thickness (CT) values in superior, nasal, inferior, and temporal. Results The interocular difference in spherical equivalent (SE) was highly correlated with that of the AL. The β- and γ-PPA areas, BMOD, and BL were greater in longer eyes. The mean and inferior peripapillary CVI and the mean, superior, and inferior peripapillary CT were lower in the longer eye group. The interocular difference in AL was significantly positively correlated with the γ-PPA area and BL and negatively correlated with the temporal CVI and mean, inferior, and temporal peripapillary CT. There was an independent correlation between the interocular differences in AL and the γ-PPA area, inferior and temporal peripapillary CT. Conclusions Significant differences between both groups were detected in most peripapillary parameters. The γ-PPA area, BL, and peripapillary CVI and CT were sensitively affected by the elongation of AL. The characteristics of peripapillary parameters may be useful in the prediction of AL elongation.
Study on the variables reflecting the action of interest groups. The case of Greek economy
Authors: Papadakis Haris , Atsalakis George S. , Zopounidis Constantin 
Published: November 2022

Abstract
In literature there are many studies considering the action of interest groups in several countries’ societies and economies. In order to study the effect of special interest groups in the economy of each country, a multitude of variables have been used by researchers. After an extended bibliographic research in the recording of the economy affecting variables that have been used, this research presents a methodology for the selection of those which better represent the action of interest groups in the economy of Greece. The methodology used is based on Principal Component Analysis and therefore on the correlation tests needed. In this way it can be concluded which variables can be more advantageous in future research.
Non covalent interactions in the monohydrated complexes of 1,2,3,4 –tetrahydroisoquinoline in S 0
Authors: Das Santu , CHAKRABORTY ABHIJIT 
Published: November 2022

AbstractThe eleven monohydrates of 1, 2, 3, 4-tetrahydroisoquinoline (THIQ) are analysed through Natural Bond Orbital (NBO) analysis and QTAIM methods employing M06-2X functional in DFT and MP2 methods. Here, the role of OH bonds as an acceptor and donor are critically analyzed. The role of O lone pairs is critically monitored in two of the complexes, where N-H···O hydrogen bonds are present. The relative contributions of rehybridisation and hyperconjugation are compared in detail. Popellier criteria are satisfied in all the complexes involving strong hydrogen bonds. Strong hydrogen bonding is observed among four complexes. These are confirmed through the negative values of total electron energy density (HC), while Laplacian \({(\nabla }^{2}{{\rho }}_{\text{C}} )\)remains positive at the bond critical points (BCP). All these are O-H⋅⋅⋅N type bonds. Remaining h-bonds are weaker in nature. These are also confirmed by the smaller values of electron density ρCat the BCP. The variation of potential energy density (VC) among the complexes seems to be the most important factor in determining the nature of non-covalent interactions.
The role of lung ultrasonography in the SARS-COV-2 vaccines and variants era: a case report.
Authors: CEPEDA JAVIER GONZALEZ , ESTEVES ANA LUÍSA , Chen Yale Tung 
Published: November 2022

Abstract
INTRODUCTION: Ever since the first COVID-19 patient was diagnosed, we have gone through incredibly challenging periods worldwide. Nevertheless, these times have produced massive developments in the medical field with bursts of knowledge and discoveries.
CASE PRESENTATION: Our manuscript reports the case of a doctor-patient with two SARS-CoV-2 infections, who have been vaccinated in the interim. Daily lung ultrasound was performed for both infections showing pathological findings in the first period and no alterations in the second.
CONCLUSSION: Considering the emerging variants of SARS-CoV-2 and the diminished vaccine efficacy, this case enhances the importance of complementing the evaluation of COVID-19 patients with lung ultrasound. It helps to define diagnosis and guide treatment, enabling the prediction of severity and prognosis.
General practice nurse trainees’ perspectives on general practice nursing as a career choice in the UK: findings from a Vocational Training Scheme in the United Kingdom
Authors: Lewis Robin 
Published: November 2022

Abstract
Background
There remains a shortage of general practice staff worldwide to deal with an ever-increasing workload, and the need to attract ‘new blood’ into general practice nursing is vital. If this is to be successful, new graduate nurses must also be provided with the necessary infrastructure to support their ongoing professional development. As part of this, a one-year Vocational Training Scheme for general practice nurses was developed in 2020 by the South Yorkshire Primary Care Workforce and Training Hub.
Methods
The aim of the study was to examine the trainees’ views on general practice nursing as a career. A pragmatic, convenience sample of trainees undertaking the 2020 vocational training scheme was recruited. Ethical approval was obtained from Sheffield Hallam University. Of the 21 trainees on the 2020 programme, 17 agreed to take part in the study. Data were collected from the trainees using a series of four regular, timed, online focus groups designed to follow the trainees’ trajectory on the programme over a 12 month period. The data were transcribed, cleaned, and analysed using the ‘framework approach’.
Results
The timed nature of the focus groups meant that the thematic analysis was linked to the trainees’ trajectory over the course of the year. Three themes emerged from the data: ‘pathways into general practice’; ‘learning to be a GPN’; and ‘the future GPN’.
Discussion
In theme one, the trainees talked of the difficulties in accessing general practice as a new graduate, specifically the need for prior experience and how to get it. In the second, the transition to being a general practice nurse was discussed, and the expectation of being able to ‘hit the ground running’ once in post. The new graduate trainees were also concerned over the opportunities for clinical supervision and support in the role after the programme,. Finally, the trainees expressed concern over the opportunities for professional development and the prospects for a long-term career in general practice.
Conclusion
In order to address the UK workforce ‘crisis’ in primary care, there is a need to change the culture of general practice. The need to provide fully funded education for general practice nurses is an important element in achieving this.
Boosting the Learning for Ranking Patterns
Authors: Belmecheri Nassim , Aribi Noureddine , Lazaar Nadjib , Lebbah Yahia , Loudni Samir 
Published: November 2022

Abstract
Discovering relevant patterns for a particular user remains a challenging tasks in data mining.
Several approaches have been proposed to learn user-specific pattern ranking functions.
These approaches generalize well, but at the expense of the running time.
On the other hand, several measures are often used to evaluate the interestingness of patterns, with the hope to reveal a ranking that is as close as possible to the user-specific ranking.
In this paper, we formulate the problem of learning pattern ranking functions as a multicriteria decision making problem.
Our approach aggregates different interestingness measures into a single weighted linear ranking function, using an interactive learning procedure that operates in either passive or active modes.
A fast learning step is used for eliciting the weights of all the measures by mean of pairwise comparisons.

This approach is based on Analytic Hierarchy Process (AHP), and a set of user-ranked patterns to build a preference matrix, which compares the importance of measures according to the user-specific interestingness.
A sensitivity based heuristic is proposed for the active learning mode,
in order to insure high quality results with few user ranking queries.
Experiments conducted on well-known datasets show that our approach significantly reduces the running time and returns precise pattern ranking, while being robust to user-error compared with state-of-the-art approaches.
A Prospective Study of Information -Theoretic and Practical Quantum Key Distribution
Authors: Singh Sheetal , Ahmed Jawed , Raghuvanshi Kamlesh Kumar , Agarwal Parul 
Published: November 2022

Abstract
Most modern cryptographic mechanisms are often based on the key distribution schemes, the security of which depends on the computational complexity and the power used to break the encryption. Quantum Key Distribution (QKD) is gaining popularity as a panacea to the issue of secure key distribution due to its ability to show secret keys' information-theoretic protection that is already suitable for commercialization. The goal is to generate a secret key between trusted parties connected through a quantum channel and an authenticated classical channel. The technology promises unconditional secure communication based on the principles of quantum mechanics without limiting the power of an eavesdropper. The first three sections provide a contemporary review of the Quantum Key Distribution in a nutshell. The remaining part of the paper deals with the key parameters and implementations that have been developed to assess the security of the leading experimental platforms and the challenges with respect to the development of this technology such as optimally overlaying the logic gates via quantum-dot cellular automata, which also creates possible avenues for research in the cryptographic domain.
Cone-shaped resonator-based highly efficient broadband polarization- independent metamaterial absorber for solar energy harvesting
Authors: Kumar Raj , Singh Bipin K. , Pandey Praveen C 
Published: November 2022

Abstract
We propose a highly efficient, low-cost metamaterial absorber of nickel (Ni) metal-based cone-shaped resonators with a silicon dioxide dielectric layer (SiO2). The proposed absorber exhibits an average absorption of 97% for the transverse magnetic (TM) and transverse electric (TE) modes over the visible region which is simulated by CST software. The nickel-metal impedance coincides with the impedance of free space and makes the proposed design an effective broadband absorber in the visible region. The average absorption with different incidence angles obtains over 90% and shows the polarization angles' independence. The average absorption spectra are also examined for the absorber with different noble metals. In addition, short-circuit current densities (Jsc) are calculated at different incidence angles for both modes under a global air mass of 1.5 (AM1.5). We have also plotted the J–V curve to obtain the values of the open-circuit voltage (Voc), Fill Factor, and conversion efficiency (η), whose values are 0.563V, 81.86%, and 11.68%, respectively. The proposed metamaterial absorber can be utilized to develop more reliable, highly efficient, cost-effective, and maximum-power extraction photovoltaic systems.
A Survey of Advancement in AnomalyIntrusion Detection System
Authors: Gondalia Archana , Shah Apurva 
Published: November 2022

Abstract
Every day, trillions of data transfer takes place on the internet. With such huge data transfer the hackers are evolving new and anomalous techniques to intrude and misuse it. Different neural approaches were implemented for the Intrusion Detection System (IDS) based on deep learning (DL) and machine learning (ML) frameworks that helped to maximize the forecasting accuracy. Researchers to help identify intrusion detection upto significant accuracy. However, because of the processing of a huge volume of data having redundant characteristics with irrelevant features, the efficiency of the IDS model is reduced. The researchers use a variety of feature selection strategies to avoid processing of irrelevant and redundant features. Selection of proper features leads to improvement in detection rate as well as processing time. This survey paper aims to provide insight on utilization of various data sets namely KDD Cup’99, NSL-KDD, Kyoto 2006+, UNSW-NB15, Canadian Institute for Cybersecurity Intrusion Detection System (CICIDS) 2017, Aegean WiFi Intrusion (AWID), Australian Defense Force Academy (ADFA), Cambridge and University of Brescia (UNIBS), Communications-Security Establishment and the Canadian-Institute for Cybersecurity (CSE-CIC) IDS 2018 in IDS. This survey paper also describes various classifiers and matrices used for anomaly intrusion detection. The key objective of the present research work to improve dataset for the identification of accurate intrusion detection.
Banned persistent organic pollutants: a quantitative and qualitative systematic review on bats (Mammalia: Chiroptera)
Authors: Monteiro-Alves Priscila Stéfani , Captivo Elizabete Lourenço , Meire Rodrigo Ornellas , Bergallo Helena de Godoy 
Published: November 2022

Abstract
Among the several noxious characteristics of Persistent Organic Polluters (POPs) is a low environmental degradation rate, which means they remain in the environment for decades. One of the measures adopted to mitigate environmental contamination is the imposition of bans and restrictions to several chemical compounds. But are bans being efficient to reduce the amount of such chemicals in the environment? In this systematic review, we tested the efficacy of banning POPs using bats as biomonitors in terrestrial habitats. Bats provide relevant ecosystem services, are found in several anthropogenic matrices, and are highly exposed to chemical pollutants such as POPs due to their feeding and behavioral habits. We found that POP concentrations in biological bat tissues in the genus Myotis in the United States decreased over the years since they were banned. We also realized there is a scarcity of studies in neotropical regions, where the different feeding guilds of bats are best represented. Few studies were found on emerging POPs or on POPs recently included in the Stockholm Convention. Besides, the fact that the specimens in the analyses conducted in the studies reviewed were not separated by sex or age may conceal the potential risk of POPs to the conservation of bat populations. We recommend that future research goes beyond evaluating POP contamination in bats, but also analyzes their noxious potential, as wild populations may be declining over time as well as their roles in the ecosystem and in the economy.
SARS-CoV-2 BW.1, a fast-growing Omicron variant from southeast Mexico bearing relevant escape mutations
Authors: García-López Rodrigo , Rivera-Gutiérrez Xaira , Rosales-Rivera Mauricio , Taboada Blanca , Zárate Selene , Muñoz-Medina José Esteban , Roche Benjamin , Herrera-Estrella Alfredo , Gómez-Gil Bruno , Sanchez-Flores Alejandro , Arias Carlos F. 
Published: November 2022

Abstract

Purpose
The swift growth of the BW.1 SARS-CoV-2 variant coincides with a new rapid increase of COVID-19 cases occurring in Southeast Mexico in October, 2022, putting an end to a period of low transmission after Mexico’s fifth epidemiological wave. Up to 75% of weekly sequenced genomes in the region have been identified as BW.1. In the current study, a comprehensive genomic comparison was carried out to characterize BW.1’s evolutionary history, identifying its origins and its most important mutations.
Methods
An alignment of all the genomes of BW.1 and its parental BA.5.6.2 variant was carried out to identify their mutations. A phylogenetic reconstruction and a longitudinal analysis of point mutations were performed to trace back their origin and contrast them with key RBD mutations in variant BQ.1, one of the fastest growing lineages to date.
Results
The BW.1’s genome derives from Mexican sequences of BA.5.6.2. Two traceable synonymous substitutions support its Mexican origin whereas other two are specific to BW.1: S:N460K and ORF1a:V627I. Mutations found in the receptor binding domain, S:K444T, S:L452R, S:N460K and S:F486V, in BW.1 have been reported to be relevant for immune escape and are key mutations in the BQ.1 lineage.
Conclusions
BW.1 appears to have arisen in the Yucatan Peninsula in Mexico sometime around July 2022 during the fifth COVID-19 wave. Its explosive growth may be in part explained by relevant escape mutations also found in BQ.1.