bluuebunny/crossref_metadata_2025_split huggingface dataset:
Raman spectroscopy on microcalcifications reveals peculiar differences between male and female breast cancer
Authors: Caldarone Alessandro , Piccotti Francesca , Morasso Carlo , Truffi Marta , Sottotetti Federico , Guerra Chiara , Albasini Sara , Agozzino Manuela , Villani Laura , Corsi Fabio 
Published: January 2021

AbstractMicrocalcifications (MCs) are important disease markers for breast cancer. Many studies were conducted on their characterization in female breast cancer (FBC), but no information is available on their composition in male breast cancer (MBC). Raman spectroscopy (RS) is a molecular spectroscopy technique that can explore the biochemical composition of MCs rapidly and without requiring any staining protocol. We here compared, by Raman spectroscopy, the MCs identified on breast cancer pieces from male and female patients. In this study, we used Raman spectroscopy to analyse 41 microcalcifications from 5 invasive MBC patients and 149 MCs from 14 invasive FBC patients. Our findings show that hydroxyapatite is the most abundant type of calcium both in MBC and FBC. However, some differences in the amount and distribution of calcium minerals are present between the two groups. Besides, we observed that MCs in MBC have a higher amount of organic material (collagen) than FBC.This study provides the first overview of the composition of microcalcifications present in MBC and suggests that they have several specific features. Our result support the need for studies specifically designed to the understanding of MBC.
Diet induced hyperlipidemia confers resistance to standard therapy in pancreatic cancer by selecting for “tumor protective” microbial metabolites and treatment refractory cells
Authors: Kesh Kousik , Mendez Roberto , Mateo-Victoriano Beatriz , Garrido Vanessa T , Durden Brittany , Gupta Vineet K , Reyes Alfredo Oliveras , Datta Jashodeep , Merchant Nipun , Banerjee Santanu , Banerjee Sulagna 
Published: January 2021

AbstractObesity causes a number of systemic alterations including chronic inflammation and changes in gut microbiome. However, whether these actively contribute to poor survival and therapy resistance in patients with pancreatic cancer remain undetermined. Our current study shows that high fat diet fed pancreatic tumor bearing mice do not respond to standard of care therapy with gemcitabine and paclitaxel when compared to corresponding control diet fed mice. Upon fecal matter transplant from control mice to high fat diet fed mice, the tumors became sensitive to standard of care therapy and showed extensive cell death. Analysis of gut microbiome showed an enrichment of queuosine (Q) producing bacteria in high fat diet fed mice and an enrichment of S-adenosyl methionine (SAM) producing bacteria in control diet fed mice. Further, treatment of high fat diet fed animals with SAM recapitulated the observation with lean to obese fecal matter transplant. Additionally, treatment of pancreatic and colon cancer cell lines in vitro with Q promoted resistance to the paclitaxel and oxaliplatin respectively, while treatment with SAM promoted sensitivity to these drugs. Treatment of pancreatic cancer cells with Q showed upregulation PRDX1, that is involved in oxidative stress protection. Analysis of tumor tissues in high fat diet fed mice showed high PRDX1, low apoptosis and increased proliferation, which were reversed upon treatment with SAM as well as by lean to obese fecal matter transplant. In parallel, high fat diet fed mice showed increase in CD133+ treatment refractory population compared to the control animals. Interestingly, treatment with Qin vitrodid not enrich for CD133+ population, indicating that Q mediated protection from cell death was independent of enrichment of treatment refractory cells.These observations indicated that microbial metabolite Q accumulated in high fat diet fed mice protected tumors from chemotherapy induced oxidative stress by upregulating PRDX1. This protection could be reversed by treatment with SAM. We conclude that relative concentration of S-adenosyl methionine and queuosine in fecal samples of pancreatic cancer patients can be indicative of therapy response in this disease.
Physicians’ Reactions to COVID-19: The Results of an International Internet Survey
Authors: Aneja Parul , Singh Inderjit , Singh Bhupinder , Kundi Pardeep Singh , Singh Inderbir , Kathiravan Sanjana , Singh Shubh Mohan 
Published: January 2021

AbstractObjectivesPhysicians across the world have been disproportionately affected by the COVID-19 pandemic. This study was designed and conducted to assess the emotional, cognitive, and behavioural reactions of physicians to the initial phase of the COVID-19 pandemic.Materials and methodsAn online survey questionnaire using the google forms platform was constructed by the authors. The items in the questionnaire were based on clinical experience, relevant literature review and discussion with peers. A list of issues that were deemed as essential components of the experience of the pandemic relevant to physicians was arrived at. Thereafter these issues were operationalized into question form and hosted on the google forms platform. The link to this questionnaire was circulated by the authors among their peer groups in the month of April 2020.ResultsWe received 295 responses and 3 were unusable. Most of the responses were from India, the United States of America, Australia, Canada and the United Kingdom. About 60% of the respondents identified themselves as frontline and had a decade of clinical experience. Most respondents reported being anxious due to the pandemic and also observed the same in their peers and families. A majority also observed changes in behaviour in self and others and advanced a variety of reasons and concerns. A sense of duty was the most commonly employed coping mechanism.ConclusionPhysicians are not immune from information and misinformation, or cues in the environment. Behavioural choices are not always predicted by knowledge but by a combination of knowledge, emotional state, personality and environment. Healthcare settings need to be ready for emergencies and should focus on reducing uncertainty in physicians. These factors may also be gainfully used in the mental health promotion of physicians in COVID-19 care roles.
Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke
Authors: Gava Umberto A. , D’Agata Federico , Tartaglione Enzo , Grangetto Marco , Bertolino Francesca , Santonocito Ambra , Bennink Edwin , Bergui Mauro 
Published: January 2021

AbstractPurposeIn this study we investigate whether a Convolutional Neural Network (CNN) can generate clinically relevant parametric maps from CT perfusion data in a clinical setting of patients with acute ischemic stroke.MethodsTraining of the CNN was done on a subset of 100 perfusion data, while 15 samples were used as validation. All the data used for the training/validation of the network and to generate ground truth (GT) maps, using a state-of-the-art deconvolution-algorithm, were previously pre-processed using a standard pipeline. Validation was carried out through manual segmentation of infarct core and penumbra on both CNN-derived maps and GT maps. Concordance among segmented lesions was assessed using the Dice and the Pearson correlation coefficients across lesion volumes.ResultsMean Dice scores from two different raters and the GT maps were > 0.70 (good-matching). Inter-rater concordance was also high and strong correlation was found between lesion volumes of CNN maps and GT maps (0.99, 0.98).ConclusionOur CNN-based approach generated clinically relevant perfusion maps that are comparable to state-of-the-art perfusion analysis methods based on deconvolution of the data. Moreover, the proposed technique requires less information to estimate the ischemic core and thus might allow the development of novel perfusion protocols with lower radiation dose.
Tau assemblies do not behave like independently acting prion-like particles in mouse neural tissue
Authors: Mukadam Aamir S. , Miller Lauren V. C. , Durrant Claire S. , Vaysburd Marina J. , Katsinelos Taxiarchis , Tuck Benjamin J. , Sanford Sophie , Sheppard Olivia , Knox Claire , Cheng Shi , James Leo C. , Coleman Michael P. , McEwan William A. 
Published: January 2021

AbstractA fundamental property of infectious agents is their particulate nature: infectivity arises from independently-acting particles rather than as a result of collective action. Assemblies of the protein tau can exhibit seeding behaviour, potentially underlying the apparent spread of tau aggregation in many neurodegenerative diseases. Here we ask whether tau assemblies share with classical pathogens the characteristic of particulate behaviour. We used organotypic hippocampal slice cultures from P301S tau transgenic mice in order to precisely control the concentration of extracellular tau assemblies. Whilst untreated slices displayed no overt signs of pathology, exposure to tau assemblies could result in the formation of intraneuronal, hyperphosphorylated tau structures. However, seeding ability of tau assemblies did not titrate in a one-hit manner in neural tissue. The results suggest that seeding behaviour of tau only arises at supra-physiological concentrations, with implications for the interpretation of high-dose intracranial challenge experiments and the possible contribution of seeded aggregation to human disease.
Persistently increased systemic ACE2 activity and Furin levels are associated with increased inflammatory response in smokers with SARS-CoV-2 COVID-19
Authors: Kaur Gagandeep , Yogeswaran Shaiesh , Muthumalage Thivanka , Rahman Irfan 
Published: January 2021

AbstractBackgroundTobacco smoking is known to be involved in the pathogenesis of several cardiopulmonary diseases, and smokers are susceptible to infectious agents. However, the progression of lung injury based on COVID-19 susceptibility and severity amongst smokers and those with pre-existing pulmonary diseases is not known. We determined the systemic expression and activity of COVID-19 related proteins, cytokine/chemokines, and lipid mediators (lipidomics) amongst COVID-19 patients with and without a history of smoking with a view to define biomarkers.MethodsWe obtained serum from COVID-19 positive and COVID-19 recovered patients with and without a history of smoking. We conducted a Luminex multiplex assay (cytokine levels), LC/MS (eicosanoids or oxylipin panel) and enzymatic activity assays on the serum samples to study the systemic changes in COVID-19 patients.ResultsOn comparing the cytokine profiles among COVID-19 positive and COVID-19 negative patients, we found a significant upregulation in the production of pro-inflammatory cytokines like IL-1α, IL-8, IL-2, VEGF and IL-10 in COVID-19 positive patients as compared to the respective controls. Interestingly, smoking history resulted in further augmentation of the release of some hyper-inflammatory cytokines, like IFN-γ, Eotaxin, MCP-1 and IL-9 amongst COVID-19 positive patients. The enzymatic activity for ACE2, the binding partner for SARS-CoV2 virus in the host cell, was found to be significantly increased in the serum of patients with a smoking history compared to the serum collected from the non-smoking controls. Similarly to our cytokine analysis, our measurement of serum Furin levels was also affected by the patient’s smoking history, in which we reported a substantial rise in serum Furin levels of COVID-19 patients. The analysis of lipid mediators revealed a distinct signature amongst the COVID-19 positive versus recovered subjects in PGF2α, HETEs, LXA4 and LTB4 levels. However, we did not find any changes in the levels of any lipid mediators based on the smoking history of the patients. Overall, our results point towards distinct systemic signatures amongst COVID-19 positive patients. We also show that smoking adversely affects the systemic levels of inflammatory markers and COVID-19 related proteins, thus suggesting that COVID-19 infection may have severe outcomes amongst smokers which is reflected systemically.
How to best test suspected cases of COVID-19: an analysis of the diagnostic performance of RT-PCR and alternative molecular methods for the detection of SARS-CoV-2
Authors: Mironas Adrian , Jarrom David , Campbell Evan , Washington Jennifer , Ettinger Sabine , Wilbacher Ingrid , Endel Gottfried , Vrazic Hrvoje , Myles Susan , Prettyjohns Matthew 
Published: January 2021

AbstractAs COVID-19 testing is rolled out increasingly widely, the use of a range of alternative testing methods will be beneficial in ensuring testing systems are resilient and adaptable to different clinical and public health scenarios. Here, we compare and discuss the diagnostic performance of a range of different molecular assays designed to detect the presence of SARS-CoV-2 infection in people with suspected COVID-19. Using findings from a systematic review of 103 studies, we categorised COVID-19 molecular assays into 12 different test classes, covering point-of-care tests, various alternative RT-PCR protocols, and alternative methods such as isothermal amplification. We carried out meta-analyses to estimate the diagnostic accuracy and clinical utility of each test class. We also estimated the positive and negative predictive values of all diagnostic test classes across a range of prevalence rates. Using previously validated RT-PCR assays as a reference standard, 11 out of 12 classes showed a summary sensitivity estimate of at least 92% and a specificity estimate of at least 99%. Several diagnostic test classes were estimated to have positive predictive values of 100% throughout the investigated prevalence spectrum, whilst estimated negative predictive values were more variable and sensitive to disease prevalence. We also report the results of clinical utility models that can be used to determine the information gained from a positive and negative test result in each class, and whether each test is more suitable for confirmation or exclusion of disease. Our analysis suggests that several tests exist that are suitable alternatives to standard RT-PCR and we discuss scenarios in which these could be most beneficial, such as where time to test result is critical or, where resources are constrained. However, we also highlight methodological concerns with the design and conduct of many included studies, and also the existence of likely publication bias for some test classes. Our results should be interpreted with these shortcomings in mind. Furthermore, our conclusions on test performance are limited to their use in symptomatic populations: we did not identify sufficient suitable data to allow analysis of testing in asymptomatic populations.
From “don, doff, and discard” to “don, doff, and decontaminate” – determination of filtering facepiece respirator and surgical mask integrity and inactivation of a SARS-CoV-2 surrogate and a small non-enveloped virus following multiple-cycles of vaporised hydrogen peroxide, ultraviolet germicidal irradiation, and dry heat decontamination
Authors: Ludwig-Begall Louisa F. , Wielick Constance , Jolois Olivier , Dams Lorène , Razafimahefa Ravo M. , Nauwynck Hans , Demeuldre Pierre-Francois , Napp Aurore , Laperre Jan , Farnir Frédéric , Thiry Etienne , Haubruge Eric 
Published: January 2021

ABSTRACTBackgroundAs the SARS-CoV-2 pandemic accelerates, the supply of personal protective equipment remains under strain. To combat shortages, re-use of surgical masks and filtering facepiece respirators has been recommended. Prior decontamination is paramount to the re-use of these typically single-use only items and, without compromising their integrity, must guarantee inactivation of SARS-CoV-2 and other contaminating pathogens.AimWe provide information on the effect of time-dependent passive decontamination at room temperature and evaluate inactivation of a SARS-CoV-2 surrogate and a non-enveloped model virus as well as mask and respirator integrity following active multiple-cycle vaporised hydrogen peroxide (VHP), ultraviolet germicidal irradiation (UVGI), and dry heat (DH) decontamination.MethodsMasks and respirators, inoculated with infectious porcine respiratory coronavirus or murine norovirus, were submitted to passive decontamination or single or multiple active decontamination cycles; viruses were recovered from sample materials and viral titres were measured via TCID50 assay. In parallel, filtration efficiency tests and breathability tests were performed according to EN standard 14683 and NIOSH regulations.Results and DiscussionInfectious porcine respiratory coronavirus and murine norovirus remained detectable on masks and respirators up to five and seven days of passive decontamination. Single and multiple cycles of VHP-, UVGI-, and DH were shown to not adversely affect bacterial filtration efficiency of masks. Single- and multiple UVGI did not adversely affect respirator filtration efficiency, while VHP and DH induced a decrease in filtration efficiency after one or three decontamination cycles. Multiple cycles of VHP-, UVGI-, and DH slightly decreased airflow resistance of masks but did not adversely affect respirator breathability. VHP and UVGI efficiently inactivated both viruses after five, DH after three, decontamination cycles, permitting demonstration of a loss of infectivity by more than three orders of magnitude. This multi-disciplinal approach provides important information on how often a given PPE item may be safely reused.
Anticipating the curve: can online symptom-based data reflect COVID-19 case activity in Ontario, Canada?
Authors: Maharaj Arjuna S. , Parker Jennifer , Hopkins Jessica P. , Gournis Effie , Bogoch Isaac I. , Rader Benjamin , Astley Christina M. , Ivers Noah , Hawkins Jared B. , Lee Liza , Tuite Ashleigh R. , Fisman David N. , Brownstein John S. , Lapointe-Shaw Lauren 
Published: January 2021

ABSTRACTBackgroundLimitations in laboratory diagnostic capacity and reporting delays have hampered efforts to mitigate and control the ongoing COVID-19 pandemic globally. Syndromic surveillance of COVID-19 is an important public health tool that can help detect outbreaks, mobilize a rapid response, and thereby reduce morbidity and mortality. The primary objective of this study was to determine whether syndromic surveillance through self-reported COVID-19 symptoms could be a timely proxy for laboratory-confirmed case trends in the Canadian province of Ontario.MethodsWe retrospectively analyzed self-reported symptoms data collected using an online tool – Outbreaks Near Me (ONM) – from April 20th to Oct 11th, 2020 in Ontario, Canada. We estimated the correlation coefficient between the weekly proportion of respondents reporting a COVID-like illness (CLI) to both the weekly number of PCR-confirmed COVID-19 cases and the percent positivity in the same period for the same week and with a one-week lag.ResultsThere were 314,686 responses from 188,783 unique respondents to the ONM symptom survey. Respondents were more likely to be female and be in the 40-59 age demographic compared to the Ontario general population. There was a strong positive correlation between the weekly number of reported cases in Ontario and the percent of respondents reporting CLI each week (r = 0.89, p <0.01) and with a one-week lag (r = 0.89, p <0.01).InterpretationWe demonstrate a strong positive and significant correlation (r = 0.89, p <0.01) between percent of self-reported COVID-like illness and the subsequent week’s COVID-19 cases reported, highlighting that a rise in CLI may precede official statistics by at least 1 week. This demonstrates the utility of syndromic surveillance in predicting near-future disease activity. Digital surveillance systems are low-cost tools that may help measure the burden of COVID-19 in a community if there is under-detection of cases through conventional laboratory diagnostic testing. This additional information can be used to guide a healthcare response and policy decisions.
Financial liberalization and the behavior of reversals in emerging market economies
Authors: Munir Ali Fayyaz , Shaharuddin Shahrin Saaid , Sukor Mohd Edil Abd , Albaity Mohamed , Ismail Izlin 
Published: January 2021

PurposeThis paper investigates the behavior of contrarian strategy payoffs under varying degrees of financial liberalization in the context of Asia-Pacific emerging market namely China, India, Indonesia, Korea, Malaysia, Pakistan, Philippines and Thailand for the period 1997–2017. These markets represent economies that display a gradual change in the degree of financial liberalization instead of fully opening their markets to foreign investors at once.Design/methodology/approachUsing a daily dataset of 2,468 firms and four different measures of the degree of financial liberalization, the paper employs portfolio formation, panel regressions and binary modeling methods to reveal the impact of partial and complete financial liberalization on contrarian returns.FindingsThis paper documents a negative relationship between the degree of financial liberalization and contrarian strategy payoffs. The results further indicate that small-sized emerging markets reveal more significant and higher contrarian returns as compared to their larger counterparts. Moreover, the returns are significantly higher during negative market states, higher volatility and crises periods. The study findings are consistent with the investor-base broadening hypothesis.Practical implicationsThe findings may serve as a useful input for investors and fund managers to devise contrarian investment strategies in emerging market economies. Together, the study provides additional insights for policymakers in managing financial liberalization and integration policies within their respective countries.Originality/valueThis study provides a novel viewpoint by examining the relationship between the degree of financial liberalization and contrarian strategy payoffs. The authors contribute to the existing debate by shifting the discussion to the investor-based broadening argument in which small and less liberalized emerging markets offer opportunities for investors and fund managers to produce abnormal contrarian returns that cannot be earned by other conventional investment strategies.
Architecture for an efficient MBIST using modified March-y algorithms to achieve optimized communication delay and computational speed
Authors: O.S. Nisha , K. Sivasankar 
Published: January 2021

Purpose
In this work, an efficient architecture for memory built in self-test (MBIST) that incorporates a modified March Y algorithm using concurrent technique and a modified linear feedback shift register (LFSR)–based address generator is proposed.

Design/methodology/approach
Built in self-test (BIST) is emerging as the essential ingredient of the system on chip. In the ongoing high speed, high tech sophistication technology of the very large-scale integrated circuits, testing of these memories is a very tedious and challenging job, since the area overhead, the testing time and the cost of the test play an important role.

Findings
With the efficient service of the adapted architecture, switching activity is considerably cut down. As the switching activity is in direct proportion to the power consumed scaling down, the switching process of the address generator inevitably leads to the reduction in power consumption of the MBIST.

Originality/value
To improve the yield and fault tolerance of on-chip memories without degradation on its performance self-repair mechanisms can be implemented on chip.