bluuebunny/crossref_metadata_2025_split huggingface dataset:
Convolutional neural networks for improving image quality with noisy PET data
Authors: Schaefferkoetter Josh , Yan Jianhua , Ortega Claudia , Sertic Andrew , Lechtman Eli , Eshet Yael , Metser Ur , Veit-Haibach Patrick 
Published: September 2020

AbstractGoalPET is a relatively noisy process compared to other imaging modalities, and sparsity of acquisition data leads to noise in the images. Recent work has focused on machine learning techniques to improve PET images, and this study investigates a deep learning approach to improve the quality of reconstructed image volumes through denoising by a 3D convolution neural network. Potential improvements were evaluated within a clinical context by physician performance in a reading task.MethodsA wide range of controlled noise levels was emulated from a set of chest PET data in patients with lung cancer, and a convolutional neural network was trained to denoise the reconstructed images using the full-count reconstructions as the ground truth. The benefits, over conventional Gaussian smoothing, were quantified across all noise levels by observer performance in an image ranking and lesion detection task.ResultsThe CNN-denoised images were generally ranked by the physicians equal to or better than the Gaussian-smoothed images for all count levels, with the largest effects observed in the lowest-count image sets. For the CNN-denoised images, overall lesion contrast recovery was 60% and 90% at the 1 and 20 million count levels, respectively. Notwithstanding the reduced lesion contrast recovery in noisy data, the CNN-denoised images also yielded better lesion detectability in low count levels. For example, at 1 million true counts, the average true positive detection rate was around 40% for the CNN-denoised images and 30% for the smoothed images.ConclusionSignificant improvements were found for CNN-denoising for very noisy images, and to some degree for all noise levels. The technique presented here offered however limited benefit for detection performance for images at the count levels routinely encountered in the clinic.
A multi-channel load awareness-based MAC protocol for flying ad hoc networks
Authors: Zheng Bo , Li Yong , Cheng Wei , Wu Huaxin , Liu Weilun 
Published: September 2020

AbstractFlying ad hoc network (FANET) is a promising and special mobile Ad hoc network, connecting large number of flying unmanned aerial vehicles (UAVs) on battlefield through wireless link. Designing a multi-priority traffic differentiated medium access control (MAC) protocol with low delay, large capacity, high flexibility, and strong scalability is a great challenge in the researches and applications of FANETs. In order to overcome the disadvantages in IEEE 802.11 distributed coordination function (DCF) and time division multiple access (TDMA) protocols, a novel multi-channel load awareness-based MAC protocol for FANETs is presented in this paper. The multi-priority queueing and service mechanism, and the multi-channel load-based backoff mechanism involved in the protocol are intensively described. We further model the multi-priority queueing and service mechanism by the multi-class queueing theory, and model the backoff mechanism using the Markov chain model. Simulation results show that the protocol can differentiate services for different priorities in FANETs according to real-time channel state, providing effective QoS guarantee for transmissions of various information, and the network bandwidth resource is efficiently utilized.
Some identities of Lah–Bell polynomials
Authors: Ma Yuankui , Kim Dae San , Kim Taekyun , Kim Hanyoung , Lee Hyunseok 
Published: September 2020

AbstractRecently, the nth Lah–Bell number was defined as the number of ways a set of n elements can be partitioned into nonempty linearly ordered subsets for any nonnegative integer n. Further, as natural extensions of the Lah–Bell numbers, Lah–Bell polynomials are defined. We study Lah–Bell polynomials with and without the help of umbral calculus. Notably, we use three different formulas in order to express various known families of polynomials such as higher-order Bernoulli polynomials and poly-Bernoulli polynomials in terms of the Lah–Bell polynomials. In addition, we obtain several properties of Lah–Bell polynomials.
Technological advancements and opportunities in Neuromarketing: a systematic review
Authors: Rawnaque Ferdousi Sabera , Rahman Khandoker Mahmudur , Anwar Syed Ferhat , Vaidyanathan Ravi , Chau Tom , Sarker Farhana , Mamun Khondaker Abdullah Al 
Published: September 2020

AbstractNeuromarketing has become an academic and commercial area of interest, as the advancements in neural recording techniques and interpreting algorithms have made it an effective tool for recognizing the unspoken response of consumers to the marketing stimuli. This article presents the very first systematic review of the technological advancements in Neuromarketing field over the last 5 years. For this purpose, authors have selected and reviewed a total of 57 relevant literatures from valid databases which directly contribute to the Neuromarketing field with basic or empirical research findings. This review finds consumer goods as the prevalent marketing stimuli used in both product and promotion forms in these selected literatures. A trend of analyzing frontal and prefrontal alpha band signals is observed among the consumer emotion recognition-based experiments, which corresponds to frontal alpha asymmetry theory. The use of electroencephalogram (EEG) is found favorable by many researchers over functional magnetic resonance imaging (fMRI) in video advertisement-based Neuromarketing experiments, apparently due to its low cost and high time resolution advantages. Physiological response measuring techniques such as eye tracking, skin conductance recording, heart rate monitoring, and facial mapping have also been found in these empirical studies exclusively or in parallel with brain recordings. Alongside traditional filtering methods, independent component analysis (ICA) was found most commonly in artifact removal from neural signal. In consumer response prediction and classification, Artificial Neural Network (ANN), Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) have performed with the highest average accuracy among other machine learning algorithms used in these literatures. The authors hope, this review will assist the future researchers with vital information in the field of Neuromarketing for making novel contributions.
The development of a scheme of Public & Patient Involvement (PPI) in the Wales Cancer Research Centre (WCRC) and reflections on the process
Authors: Fitzgibbon Jim , Cleary Kate , Nelson Annmarie 
Published: September 2020

AbstractThe Wales Cancer Research Centre (WCRC) was established in 2015. It made an early and strong commitment to Public and Patient Involvement (PPI) in all its work. That commitment was made manifest through the immediate appointment of Lay and Researcher Leads and an administrator to develop and implement a scheme of PPI.At the core of the scheme was the allocation to each of the centre’s four themes two Research Partners (RPs), who were to offer routine and strategic support to researchers but also to have a wider ambassadorial role, acting as champions for PPI.The RPs were appointed through a full recruitment process and supported financially, with a ‘budget’ of 10 half days per annum, with training where needed and supported by a mentor. Their core tasks were defined through an audit of then current practice in PPI within the themes. Monitoring of progress was undertaken at regular group PPI meetings, reports to the centre’s funders against key performance indicators and against a rerun of the initial audit.A library of documents was produced to support this work, including a centre policy statement, procedures for the recruitment, training and support of RPs, a partnership agreement between RPs and researchers and a mentorship agreement. Most recently procedures have been drafted to assess the impact on research of PPI.The scheme has been regarded as largely successful by researchers, RPs and the Centre’s External Advisory Board.However there remains much to do to ensure consistently high quality involvement of RPs in the centre’s research. A significant stumbling block to making progress has been the lack of time given to researchers by funders to become involved in PPI. A reflection on progress against the UK Standards for PPI has identified a number of key actions for the future. They include the roll out of a scheme to assess the impact of PPI and to increase diversity in the centre’s pool of RPs.
Altered FGF expression profile in human scalp-derived fibroblasts upon WNT activation: implication of their role to provide folliculogenetic microenvironment
Authors: Kinoshita-Ise Misaki , Tsukashima Aki , Kinoshita Tomonari , Yamazaki Yoshimi , Ohyama Manabu 
Published: September 2020

Abstract
Background
Hair follicle (HF) formation and growth are sustained by epithelial-mesenchymal interaction via growth factors and cytokines. Pivotal roles of FGFs on HF regeneration and neogenesis have been reported mainly in rodent models. FGF expression is regulated by upstream pathways, represented by canonical WNT signaling; however, how FGFs influence on human folliculogenesis remains elusive. The aim of this study is to assess if human scalp-derived fibroblasts (sFBs) are able to modulate their FGF expression profile in response to WNT activation and to evaluate the influence of WNT-activated or suppressed FGFs on folliculogenesis.

Methods
Dermal papilla cells (DPCs), dermal sheath cells (DSCs), and sFBs were isolated from the human scalp and cultured independently. The gene expression profile of FGFs in DPCs, DSCs, and sFBs and the influence of WNT activator, CHIR99021, on FGF expression pattern in sFBs were evaluated by reverse transcription polymerase chain reaction, which were confirmed at protein level by western blotting analysis. The changes in the expression of DPC or keratinocyte (KC) biomarkers under the presence of FGF7 or 9 were examined in both single and co-culture assay of DPCs and/or KCs. The influence of FGF 7 and FGF 9 on hair morphogenesis and growth was analyzed in vivo using mouse chamber assay.

Results
In single culture, sFBs were distinguished from DPCs and DSCs by relatively high expression of FGF5 and FGF18, potential inducers of hair cycle retardation or catagen phase. In WNT-activated state, sFBs downregulated FGF7 while upregulating FGF9, a positive regulator of HF morphogenesis, FGF16 and FGF20 belonging to the same FGF subfamily. In addition, CHIR99021, a WNT activator, dose-dependently modulated FGF7 and 9 expression to be folliculogenic. Altered expressions of FGF7 and FGF9 by CHIR99021 were confirmed at protein level. Supplementation of FGF9 to cultured DPCs resulted in upregulation of representative DP biomarkers and this tendency was sustained, when DPCs were co-cultured with KCs. In mouse chamber assay, FGF9 increased both the number and the diameter of newly formed HFs, while FGF7 decreased HF diameter.

Conclusion
The results implied that sFBs support HF formation by modulating regional FGF expression profile responding to WNT activation.
Preservation and management of a World Heritage site Tajima Yahei Sericulture Farm and its buffer zone
Authors: Cheng Sweet Yee , Ono Satoshi 
Published: September 2020

AbstractTajima Yahei Sericulture Farm, one of the four components of the UNESCO World Heritage Site Tomioka Silk Mill and Related Sites inscribed in 2014, was the starting point for advancements in sericulture farmhouses, emphasizing the importance of ventilation. Through Yahei’s experimentation surrounding the ideal space to breed silkworms, a new sericulture theory was invented, and a sericulture farmhouse architecture was formed. For the purpose of preserving this cultural heritage for future generations, it is important to understand the idea that led to the cultural and industrial advancement of the village of Shimamura and to revise the preservation plans prepared by stakeholders. This paper will discuss the development of the sericulture theory, seiryō-iku theory, and the formation of a sericulture farmhouse architecture; describe the adaptation of former sericulture farmhouses and the surrounding landscapes in terms of the industry and environment; outline the plans and efforts for the preservation and revitalization of Tajima Yahei Sericulture Farm, its surrounding area and its underlying issues; and propose a direction for future preservation plans.
Treatment of Thyroid Dysfunction and Serum Lipids: A Systematic Review and Meta-analysis
Authors: Kotwal Anupam , Cortes Tiffany , Genere Natalia , Hamidi Oksana , Jasim Sina , Newman Connie B , Prokop Larry J , Murad M Hassan , Alahdab Fares 
Published: September 2020

Abstract

Context
Hyperthyroidism is associated with low levels of cholesterol and triglycerides, and hypothyroidism is associated with hypercholesterolemia and hypertriglyceridemia.

Objective
The aim of this systematic review was to investigate the impact of therapy for overt and subclinical hyper- and hypothyroidism on serum lipids.

Data Sources
We searched MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Scopus from 1970 through April 5, 2018.

Study Selection
Pairs of independent reviewers selected randomized and observational studies evaluating lipid parameters in patients undergoing treatment for hyper- or hypothyroidism.

Data Extraction
Pairs of independent reviewers extracted data and appraised studies.

Data Synthesis
Treatment of overt hyperthyroidism showed a significant increase in total cholesterol (TC) by 44.50 mg/dL (95% confidence interval [CI]: 37.99, 51.02), low-density lipoprotein cholesterol (LDL-C) by 31.13 mg/dL (95% CI: 24.33, 37.93), high-density lipoprotein cholesterol (HDL-C) by 5.52 mg/dL (95% CI: 1.48, 9.56), apolipoprotein A (Apo A) by 15.6 mg/dL (95% CI: 10.38, 20.81), apolipoprotein B (apo B) by 26.12 mg/dL (95% CI: 22.67, 29.57), and lipoprotein (Lp[a]) by 4.18 mg/dL (95% CI: 1.65, 6.71). There was no significant change in triglyceride (TG) levels. Treatment of subclinical hyperthyroidism did not change any lipid parameters significantly. Levothyroxine therapy in overt hypothyroidism showed a statistically significant decrease in TC by -58.4 mg/dL (95% CI: -64.70, -52.09), LDL-C by -41.11 mg/dL (95% CI: -46.53, -35.69), HDL-C by -4.14 mg/dL (95% CI: -5.67, -2.61), TGs by -7.25 mg/dL (95% CI: -36.63, 17.87), apo A by -12.59 mg/dL (95% CI: -17.98, -7.19), apo B by -33.96 mg/dL (95% CI: 41.14, -26.77), and Lp(a) by -5.6 mg/dL (95% CI: -9.06, -2.14). Levothyroxine therapy in subclinical hypothyroidism showed similar changes but with a smaller magnitude. The studies contained varied population characteristics, severity of thyroid dysfunction, and follow-up duration.

Conclusions
Treatment of overt but not subclinical hyperthyroidism is associated with worsening of the lipid profile. Levothyroxine therapy in both overt and subclinical hypothyroidism leads to improvement in the lipid profile, with a smaller magnitude of improvement in subclinical hypothyroidism.
Using systems medicine to identify a therapeutic agent with potential for repurposing in inflammatory bowel disease
Authors: Lloyd Katie , Papoutsopoulou Stamatia , Smith Emily , Stegmaier Philip , Bergey Francois , Morris Lorna , Kittner Madeleine , England Hazel , Spiller Dave , White Mike H. R. , Duckworth Carrie A. , Campbell Barry J. , Poroikov Vladimir , Martins dos Santos Vitor A. P. , Kel Alexander , Muller Werner , Pritchard D. Mark , Probert Chris , Burkitt Michael D. ,   The SysmedIBD Consortium
Published: September 2020

ABSTRACT
Inflammatory bowel diseases (IBDs) cause significant morbidity and mortality. Aberrant NF-κB signalling is strongly associated with these conditions, and several established drugs influence the NF-κB signalling network to exert their effect. This study aimed to identify drugs that alter NF-κB signalling and could be repositioned for use in IBD. The SysmedIBD Consortium established a novel drug-repurposing pipeline based on a combination of in silico drug discovery and biological assays targeted at demonstrating an impact on NF-κB signalling, and a murine model of IBD. The drug discovery algorithm identified several drugs already established in IBD, including corticosteroids. The highest-ranked drug was the macrolide antibiotic clarithromycin, which has previously been reported to have anti-inflammatory effects in aseptic conditions. The effects of clarithromycin effects were validated in several experiments: it influenced NF-κB-mediated transcription in murine peritoneal macrophages and intestinal enteroids; it suppressed NF-κB protein shuttling in murine reporter enteroids; it suppressed NF-κB (p65) DNA binding in the small intestine of mice exposed to lipopolysaccharide; and it reduced the severity of dextran sulphate sodium-induced colitis in C57BL/6 mice. Clarithromycin also suppressed NF-κB (p65) nuclear translocation in human intestinal enteroids. These findings demonstrate that in silico drug repositioning algorithms can viably be allied to laboratory validation assays in the context of IBD, and that further clinical assessment of clarithromycin in the management of IBD is required.
This article has an associated First Person interview with the joint first authors of the paper.
The Theft: An Analysis of Moral Agency
Authors: Elfstrom Gerard 
Published: September 2020

Adam and Eve’s theft marks the beginning of the human career as moral agents. This article will examine the assumptions underlying the notion of moral agency from the perspective of three unremarkable human beings who found themselves in situations of moral difficulty. The article will conclude that these three people could not have acted differently than they did. It will conclude that it is unreasonable to assume that ordinary human beings will inevitably possess the resources to address difficult moral decisions.
Molecular docking analysis of selected phytochemicals on two SARS-CoV-2 targets
Authors: Ubani Amaka , Agwom Francis , Morenikeji Oluwatoyin Ruth , Shehu Nathan Yakubu , Umera Emmanuel Arinze , Umar Uzal , Omale Simeon , Aguiyi John Chinyere , Nnadi Nnaemeka Emmanuel , Luka Pam Dachung 
Published: September 2020

Background: The coronavirus spike (S) glycoprotein and M protease are two key targets that have been identified for vaccines and drug development against COVID-19. Methods: Virtual screening of some compounds of plant origin that have shown antiviral activities were carried out on the two targets, the M protease (PDB ID 6LU7) and S glycoprotein (PDB ID 6VSB), by docking with PyRx software. The binding affinities were compared with other compounds and drugs already identified as potential ligands for the M protease and S glycoprotein, as well as chloroquine and hydroxychloroquine. The docked compounds with best binding affinities were also filtered for drug likeness using the SwissADME and PROTOX platforms on the basis of physicochemical properties and toxicity, respectively. Results: The docking results revealed that scopadulcic acid and dammarenolic acid had the best binding affinity for the S glycoprotein and Mpro protein targets, respectively. Silybinin, through molecular docking, also demonstrated good binding affinity for both protein targets making it a potential candidate for further evaluation as repurposed candidate for SARS-CoV-2, with likelihood of having multitarget activity as it showed activities for both targets. Conclusions: The study proposes that scopadulcic acid and dammarenolic acid be further evaluated in vivo for drug formulation against SARS-COV-2 and possible repurposing of Silybinin for the management of COVIV-19.
The prevalence of secondhand smoke exposure and related factors among schoolchildren in Northeast Thailand
Authors: Intarut Nirun , Pukdeesamai Piyalak 
Published: September 2020

Background: The prevalence of tobacco consumption in Thailand has gradually declined; however, the prevalence of exposure to secondhand smoke (SHS) is still high. The objective of this study is to estimate the prevalence of SHS exposure and examine the association between exposure to SHS and depressive symptoms among schoolchildren, and test for moderation by the number of smokers in household. Methods: We conducted a cross-sectional study of 1105 schoolchildren. Socioeconomics factors, depressive symptoms and exposure to SHS variables were collected. We used the chi-square test for testing the factors associated to SHS exposure. In addition, we used the Mantel Haenszel test for testing interaction effect of depression to SHS exposure by the number of smokers in home. Multiple logistic regression was used to test the factors related to SHS exposure adjusted for confounders. Results: The prevalence of exposure to SHS was 58.2% (95%CI: 55.2, 61.1). The schoolchildren with abnormal depression status were 1.8 times more likely to have been exposed to SHS (95%CI: 1.3, 2.5). In addition, the number of smokers in the home did not modify the association between exposure to SHS and depressive symptoms (P: 0.964). Conclusions: An association between exposure to SHS and depressive in schoolchildren was observed, but this relationship was not affected by the number of smokers in children’s homes.
COVID-19 and Guillain-Barre Syndrome: a systematic review of case reports
Authors: Carrillo-Larco Rodrigo M. , Altez-Fernandez Carlos , Ravaglia Sabrina , Vizcarra Joaquín A. 
Published: September 2020

Background: Guillain-Barre Syndrome (GBS) is a neurological autoimmune disease that can lead to respiratory failure and death. Whether COVID-19 patients are at high risk of GBS is unknown. Through a systematic review of case reports, we aimed to summarize the main features of patients with GBS and COVID-19. Methods: Without any restrictions, we searched MEDLINE, Embase, Global Health, Scopus, Web of Science and MedXriv (April 23 rd, 2020). Two reviewers screened and studied titles, abstracts and reports. We extracted information to characterize sociodemographic variables, clinical presentation, laboratory results, treatments and outcomes. Results: Eight reports (n=12 patients) of GBS and COVID-19 were identified; one was a Miller Fisher case. The age ranged between 23 and 77 years, and there were more men (9/102). GBS symptoms started between 5 and 24 days after those of COVID-19. The protein levels in cerebrospinal fluid samples ranged between 40 and 193 mg/dl. None of the cerebrospinal fluid samples tested positive for COVID-19. Six patients debuted with ascendant weakness and three with facial weakness. Five patients had favourable evolution, four remained with relevant symptoms or required critical care and one died; the Miller Fisher case had successful resolution. Conclusions: GBS is emerging as a disease that may appear in COVID-19 patients. Although limited, preliminary evidence appears to suggest that GBS occurs after COVID-19 onset. Practitioners and investigators should have GBS in mind as they look after COVID-19 patients and conduct research on novel aspects of COVID-19. Comparison with GBS patients in the context of another viral outbreak (Zika), revealed similarities and differences that deserves further scrutiny and epidemiological studies.