bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic analysis of high copy-number sequences for the targeted detection of Listeria species using a flow-through surveillance system
Authors: Quiñones Beatriz , Yambao Jaszemyn C. , De Guzman Veronica S. , Lee Bertram G. , Medin David L. 
Published: June 2021

AbstractThe bacterial foodborne pathogen Listeria monocytogenes has been implicated in fresh produce outbreaks with a significant economic impact. Given that L. monocytogenes is widespread in the environment, food production facilities constantly monitor for the presence of Listeria species. To develop a surveillance platform for food processing facilities, this study conducted a comparative genomic analysis for the identification of conserved high copy sequences in the ribosomal RNA of Listeria species. Simulated folding was performed to assess RNA accessibility in the identified genomic regions targeted for detection, and the developed singleplex assay accurately detected cell amounts lower than 5 cells, while no signals were detected for non-targeted bacteria. The singleplex assay was subsequently tested with a flow-through system, consisting of a DNA aptamer-capture step, followed by sample concentration and mechanical lysis for the detection of Listeria species. Validation experiments indicated the continuous flow-through system accurately detected Listeria species at low cell concentrations.
Serum NMR metabolomics uncovers multiple metabolic changes in phenobarbital-treated dogs
Authors: Ottka Claudia , Weber Corinna , Müller Elisabeth , Lohi Hannes 
Published: June 2021

AbstractIntroductionPhenobarbital is a commonly used anticonvulsant for the treatment of canine epileptic seizures. In addition to its central nervous system (CNS) depressing effects, long-term phenobarbital administration affects liver function. However, broader metabolic consequences of phenobarbital treatment are poorly characterized.ObjectivesTo identify metabolic changes in the sera of phenobarbital-treated dogs and to investigate the relationship between serum phenobarbital concentration and metabolite levels.MethodsLeftovers of clinical samples were used: 58 cases with phenobarbital concentrations ranging from 7.8 µg/mL to 50.8 µg/mL, and 25 controls. The study design was cross-sectional. The samples were analyzed by a canine-specific1H NMR metabolomics platform. Differences between the case and control groups were evaluated by logistic regression. The linear relationship between metabolite and phenobarbital concentrations was evaluated using linear regression.ResultsIncreasing concentrations of glycoprotein acetyls, LDL particle size, palmitic acid, and saturated fatty acids, and decreasing concentrations of albumin, glutamine, histidine, LDL particle concentration, multiple HDL measures, and polyunsaturated fatty acids increased the odds of the sample belonging to the phenobarbital-treated group, having ap-value < .0033, and area under the curve (AUC) > .7. Albumin and glycoprotein acetyls had the best discriminative ability between the groups (AUC: .94). No linear associations between phenobarbital and metabolite concentrations were observed.ConclusionThe identified metabolites are known to associate with, for example, liver and CNS function, inflammatory processes and drug binding. The lack of a linear association to phenobarbital concentration suggests that other factors than the blood phenobarbital concentration contribute to the magnitude of metabolic changes.
4-Hydroxyl-N′-[(3-Hydroxy-4-Methoxyphenyl) Methylidene] Benzohydrazide] as Corrosion Inhibitor for Carbon Steel in Dilute H2SO4
Authors: Poojary Nikshith G. , Kumari Preethi , Rao Suma A. 
Published: June 2021

AbstractThe effect of an aromatic hydrazide derivative 4-hydroxyl-N′-[(3-hydroxy-4-methoxyphenyl) methylidene] benzohydrazide] (HMBH) as inhibitor for the corrosion of carbon steel in 0.5 M H2SO4 solution was investigated in the temperature range of 303 K to 323 K using potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS). The concentration of HMBH used was in the range of 0.1 to 1 mM. Inhibition efficiency (% IE) increased with increase in concentration of HMBH and decreased with increase in temperature. Maximum % IE obtained was around 71 with 1 $$\times $$
×
10-3 M HMBH in 0.5 M H2SO4 at 303 K. The Tafel polarization results indicate that HMBH acted as a mixed type of inhibitor. The results of evaluation of thermodynamic and activation parameters suggest the mixed adsorption of HMBH took place by physisorption, and it obeyed Freundlich’s isotherm. Scanning electron microscope (SEM) and atomic force spectroscopy (AFM) images were also recorded to supplement the results of electrochemical studies, and mechanism for corrosion inhibition was suggested.
Radon Inversion Problem for Holomorphic Functions on Circular, Strictly Convex Domains
Authors: Pierzchała P. , Kot P. 
Published: June 2021

AbstractIn this paper we study the so-called Radon inversion problem in bounded, circular, strictly convex domains with $${\mathcal {C}}^2$$

C

2

boundary. We show that given $$p>0$$

p
>
0

and a strictly positive, continuous function $$\Phi $$
Φ
on $$\partial \Omega $$

∂
Ω

, by use of homogeneous polynomials it is possible to construct a holomorphic function $$f \in {\mathcal {O}}(\Omega )$$

f
∈
O
(
Ω
)

such that $$\displaystyle \smallint _0^1 |f(zt)|^pdt = \Phi (z)$$

∫
0
1

|
f

(
z
t
)

|

p

d
t
=
Φ

(
z
)

for all $$z \in \partial \Omega $$

z
∈
∂
Ω

. In our approach we make use of so-called lacunary K-summing polynomials (see definition below) that allow us to construct solutions with in some sense extremal properties.
The INSPIRE Support sub-scale: A critical view of the psychometric properties focusing on dimensionality
Authors: Šaltytė Benth Jūratė , Skar-Fröding Regina , Ruud Torleif , Clausen Hanne Kristin , Heiervang Kristin Sverdvik 
Published: June 2021

AbstractThe statistical methods previously used for assessing dimensionality of the INSPIRE Support sub-scale are often not valid, which may lead to inaccurate conclusions. The first aim of this paper was to present and discuss the methods for assessing the dimensionality of the scale. The second aim was to illustrate these methods using data from a Norwegian translation of the INSPIRE Support sub-scale. Exploratory factor analysis with several extraction and rotation methods was used to identify the dimensionality of the scale. Cronbach’s alpha and omega coefficient were employed to assess the internal consistency. Using the recognized statistical approach, there was no clear structure found in the Support sub-scale, indicating that the scale might be one-dimensional. While single items or sum score of the INSPIRE Support sub-scale might cover important aspects of the personal recovery concept, there is no evidence of the five CHIME dimensions of this scale as published earlier. A more thorough assessment is called for, and results from studies using the five dimensions should be interpreted with caution.
Assessment and source identification of heavy metal contamination of groundwater using geospatial technology in Gadilam River basin, Tamil Nadu, India
Authors: Rizwan K. Mohammed , Thirukumaran V. , Suresh M. 
Published: June 2021

AbstractThe purpose of this study is to determine the groundwater quality of the Gadilam River basin on the basis of Geographic Information Technology (GIS) taxonomy evaluation and risk assessment and statistical analysis. The Gadilam River originates from the district of Kallakurichi and flows into the district of Viluppuram finally confluence at Bay of Bengal in the district of Cuddalore. Groundwater supplies are serving the entire drinking needs of the residents of the Gadilam River basin, and pollution of its toxic elements has been raised in recent years. A total of 120 groundwater samples, excluding reserved forest areas, were obtained from the Gadilam River basin. 50 samples of the Archaean formation, 34 samples of the Quaternary formation, 35 additional Tertiary formation samples and one Cretaceous formation sample. During the monsoon season (Nov. 2018), groundwater samples were taken, which is after the Gaja cyclone’s diastral effects. At the time of the sample acquisition, pH, EC and TDS were measured using the Elico field kit. Using the Atomic Absorption Spectrometer, the heavy metals Zn, Cr, Cu, Pb, Co, Fe, Mn and Ni were analyzed. The spatial distribution maps of the GIS shows that in all the samples the concentrations of chromium, lead, cobalt, nickel are high (above the permitted limit). In 93.40%of the area, the manganese concentrations are higher, dropping under the unauthorized cap for human use in compliance with WHO requirements. In addition, statistical analysis indicates that groundwater pollution of the roots of Pb and Cr is from foreign sources and geogenic origin cannot be avoided. The country's rocks and industrial effluents can trigger Zn and Co. The anthropogenic operations may be due to Cu. The taxonomy diagram showing all groundwater samples is classified as ‘near neutral high metal.’ Industrial waste, household sewage, has boosted the emission of heavy metals. Groundwater risk assessment study of heavy metals using SMCE approach reveals that dense residential area in the Archaean formation, lineaments intersection with river portion and sea shore area in Quaternary formation and nearby SIPCOT industry and Lignite mining area in Tertiary formation is noted in the ‘Extreme risk dangerous’ areas.
Transferable face image privacy protection based on federated learning and ensemble models
Authors: Yang Jingjing , Liu Jiaxing , Han Runkai , Wu Jinzhao 
Published: June 2021

AbstractFace image features represent significant user privacy concerns. Face images cannot be privately transferred under existing privacy protection methods, and data across various social networks are unevenly distributed. This paper proposes a method for face image privacy protection based on federated learning and ensemble models. A federated learning model based on distributed data sets was established by means of federated learning. On the client side, a local facial recognition model was obtained by local face data training and used as the input of PcadvGAN to train PcadvGAN for several rounds. On the server side, a parameter aggregator based on a differential evolutionary algorithm was established as the discriminator of PcadvGAN server, and a client facial recognition model was ensembled simultaneously. The discriminator of the PcadvGAN server experienced mutation, crossover, and interaction with the ensemble model to reveal the optimal global weight of the PcadvGAN model. Finally, the global optimal aggregation parameter matrix of PcadvGAN was obtained by calculation. The server and the client shared the global optimal aggregation parameter matrix, enabling each client to generate private face images with high transferability and practicality. Targeted attack and non-targeted attack experiments demonstrated that the proposed method can generate high-quality, transferable, robust, private face images with only minor perturbations more effectively than other existing methods.
What Is the Relation between Circular Economy and Sustainability? Answers from Frontrunner Companies Engaged with Circular Economy Practices
Authors: Walker Anna M. , Opferkuch Katelin , Roos Lindgreen Erik , Raggi Andrea , Simboli Alberto , Vermeulen Walter J.V. , Caeiro Sandra , Salomone Roberta 
Published: June 2021

AbstractThe circular economy (CE) concept has become a major interest for companies, promising new business opportunities and a decrease in environmental impacts. Though research on circular business models has recently increased, few scholars have investigated how companies engaged with CE view the connection between CE and sustainability. To address this gap, this paper uses a semi-quantitative survey and semi-structured interviews conducted with companies based in Italy and the Netherlands. Purposive sampling was employed to target firms associated with national and international CE networks, as these companies already engage with CE practices. The survey was distributed online to over 800 firms, of which 155 provided information on their understanding of the CE concept and its relationship with sustainability. The survey results are complemented through findings from 43 interviews with a subset of the survey respondents. The survey answers show that companies view CE as one of the tools to achieve sustainable development, particularly in the environmental domain, where the focus lies on environmentally friendly resource use. Yet, the respondents are less confident whether CE increases economic and social benefits of firms. Interviews show that a majority of respondents position sustainability as the overarching concept. However, most companies advocate that the private sector should strive for both sustainability and circularity, though the distinction between the two concepts in daily business operations seems synthetic and futile to some. These findings provide an important stepping stone for better understanding how firms could apply CE practices to move towards a more sustainable society.
“You stole my work! And you stole it poorly!” Choreography, Copyright, and the Problem of Inexpert Iterations
Authors: Gover K.E. 
Published: June 2021

AbstractDance theorists and legal scholars argue that choreography is by nature ill-suited to the conceptual framework provided by copyright, even as there is widespread agreement that works of dance deserve the legal protection and cultural endorsement that its inclusion represents. I reexamine the factors that are often cited as barriers to choreography's suitability for copyright. I argue that choreography is better suited to the copyright regime than it appears, so long as we recognize that the artistic standard for substantial similarity should be different from the legal standard.
Cautionary Contours: Joann Kealiinohomoku's Silhougraphs® and Dance Analysis in Black and White
Authors: Hamera Judith 
Published: June 2021

AbstractJoann Kealiinohomoku's Silhougraphs®, traces of the silhouettes of dancers, were her attempt to operationalize her cultural relativist commitments and create a new method of dance analysis. Silhougraphs illuminate underexamined scholarly presumptions, methods, and tools that both contributed to and paralleled the emergence of dance studies as a discipline. Silhougraphs are also a cautionary tale demonstrating the ways culturally sensitive research commitments and methods can unintentionally yet decisively reiterate tools and logics of racist typologies.
Sensitivity of Climate Feedbacks to Vertical Resolution in a General Circulation Model
Authors: Ingram William , Bushell Andrew C. 
Published: June 2021

AbstractMany of the current, Coupled Model Intercomparison Project 6 (CMIP6), General Circulation Models (GCMs) show climate sensitivity higher than currently accepted uncertainty ranges. There is a weak correlation between increases in vertical resolution and in climate sensitivity from CMIP5. In particular, the MO Hadley Centre GCM’s vertical resolution has more than doubled, and its climate sensitivity has also increased substantially. We therefore compare estimates of climate sensitivity from the CMIP6 model HadGEM3‐GC3.1‐LL, with 85 levels, and a version with 242 levels. This is far higher resolution than in any previously published simulations with a mainstream GCM, though still less than many scales important for clouds. The climate sensitivity and feedbacks, including the cloud feedback, change little. This suggests that vertical resolution did not drive recent increases in GCM climate sensitivity, though this result should be further tested in other GCMs and over a broader range of resolutions.
Design and fabrication of a vigorous “cavitation-on-a-chip” device with a multiple microchannel configuration
Authors: Rokhsar Talabazar Farzad , Jafarpour Mohammad , Zuvin Merve , Chen Hongjian , Gevari Moein Talebian , Villanueva Luis Guillermo , Grishenkov Dmitry , Koşar Ali , Ghorbani Morteza 
Published: June 2021

AbstractHydrodynamic cavitation is one of the major phase change phenomena and occurs with a sudden decrease in the local static pressure within a fluid. With the emergence of microelectromechanical systems (MEMS), high-speed microfluidic devices have attracted considerable attention and been implemented in many fields, including cavitation applications. In this study, a new generation of ‘cavitation-on-a-chip’ devices with eight parallel structured microchannels is proposed. This new device is designed with the motivation of decreasing the upstream pressure (input energy) required for facile hydrodynamic cavitation inception. Water and a poly(vinyl alcohol) (PVA) microbubble (MB) suspension are used as the working fluids. The results show that the cavitation inception upstream pressure can be reduced with the proposed device in comparison with previous studies with a single flow restrictive element. Furthermore, using PVA MBs further results in a reduction in the upstream pressure required for cavitation inception. In this new device, different cavitating flow patterns with various intensities can be observed at a constant cavitation number and fixed upstream pressure within the same device. Moreover, cavitating flows intensify faster in the proposed device for both water and the water–PVA MB suspension in comparison to previous studies. Due to these features, this next-generation ‘cavitation-on-a-chip’ device has a high potential for implementation in applications involving microfluidic/organ-on-a-chip devices, such as integrated drug release and tissue engineering.
Chromosome 1q21 abnormalities in multiple myeloma
Authors: Schmidt Timothy M. , Fonseca Rafael , Usmani Saad Z. 
Published: June 2021

AbstractGain of chromosome 1q (+1q) is one of the most common recurrent cytogenetic abnormalities in multiple myeloma (MM), occurring in approximately 40% of newly diagnosed cases. Although it is often considered a poor prognostic marker in MM, +1q has not been uniformly adopted as a high-risk cytogenetic abnormality in guidelines. Controversy exists regarding the importance of copy number, as well as whether +1q is itself a driver of poor outcomes or merely a common passenger genetic abnormality in biologically unstable disease. Although the identification of a clear pathogenic mechanism from +1q remains elusive, many genes at the 1q21 locus have been proposed to cause early progression and resistance to anti-myeloma therapy. The plethora of potential drivers suggests that +1q is not only a causative factor or poor outcomes in MM but may be targetable and/or predictive of response to novel therapies. This review will summarize our current understanding of the pathogenesis of +1q in plasma cell neoplasms, the impact of 1q copy number, identify potential genetic drivers of poor outcomes within this subset, and attempt to clarify its clinical significance and implications for the management of patients with multiple myeloma.
Geometrically encoded SERS nanobarcodes for the logical detection of nasopharyngeal carcinoma-related progression biomarkers
Authors: Lin Duo , Hsieh Chang-Lin , Hsu Keng-Chia , Liao Pei-Hsuan , Qiu Sufang , Gong Tianxun , Yong Ken-Tye , Feng Shangyuan , Kong Kien Voon 
Published: June 2021

AbstractThe limited availability of nasopharyngeal carcinoma-related progression biomarker array kits that offer physicians comprehensive information is disadvantageous for monitoring cancer progression. To develop a biomarker array kit, systematic identification and differentiation of a large number of distinct molecular surface-enhanced Raman scattering (SERS) reporters with high spectral temporal resolution is a major challenge. To address this unmet need, we use the chemistry of metal carbonyls to construct a series of unique SERS reporters with the potential to provide logical and highly multiplex information during testing. In this study, we report that geometric control over metal carbonyls on nanotags can produce 14 distinct barcodes that can be decoded unambiguously using commercial Raman spectroscopy. These metal carbonyl nanobarcodes are tested on human blood samples and show strong sensitivity (0.07 ng/mL limit of detection, average CV of 6.1% and >92% degree of recovery) and multiplexing capabilities for MMPs.
Is the oral microbiome a source to enhance mucosal immunity against infectious diseases?
Authors: Zenobia Camille , Herpoldt Karla-Luise , Freire Marcelo 
Published: June 2021

AbstractMucosal tissues act as a barrier throughout the oral, nasopharyngeal, lung, and intestinal systems, offering first-line protection against potential pathogens. Conventionally, vaccines are applied parenterally to induce serotype-dependent humoral response but fail to drive adequate mucosal immune protection for viral infections such as influenza, HIV, and coronaviruses. Oral mucosa, however, provides a vast immune repertoire against specific microbial pathogens and yet is shaped by an ever-present microbiome community that has co-evolved with the host over thousands of years. Adjuvants targeting mucosal T-cells abundant in oral tissues can promote soluble-IgA (sIgA)-specific protection to confer increased vaccine efficacy. Th17 cells, for example, are at the center of cell-mediated immunity and evidence demonstrates that protection against heterologous pathogen serotypes is achieved with components from the oral microbiome. At the point of entry where pathogens are first encountered, typically the oral or nasal cavity, the mucosal surfaces are layered with bacterial cohabitants that continually shape the host immune profile. Constituents of the oral microbiome including their lipids, outer membrane vesicles, and specific proteins, have been found to modulate the Th17 response in the oral mucosa, playing important roles in vaccine and adjuvant designs. Currently, there are no approved adjuvants for the induction of Th17 protection, and it is critical that this research is included in the preparedness for the current and future pandemics. Here, we discuss the potential of oral commensals, and molecules derived thereof, to induce Th17 activity and provide safer and more predictable options in adjuvant engineering to prevent emerging infectious diseases.
A global analysis of the impact of COVID-19 stay-at-home restrictions on crime
Authors: Nivette Amy E. , Zahnow Renee , Aguilar Raul , Ahven Andri , Amram Shai , Ariel Barak , Burbano María José Arosemena , Astolfi Roberta , Baier Dirk , Bark Hyung-Min , Beijers Joris E. H. , Bergman Marcelo , Breetzke Gregory , Concha-Eastman I. Alberto , Curtis-Ham Sophie , Davenport Ryan , Díaz Carlos , Fleitas Diego , Gerell Manne , Jang Kwang-Ho , Kääriäinen Juha , Lappi-Seppälä Tapio , Lim Woon-Sik , Revilla Rosa Loureiro , Mazerolle Lorraine , Meško Gorazd , Pereda Noemí , Peres Maria F. T. , Poblete-Cazenave Rubén , Rose Simon , Svensson Robert , Trajtenberg Nico , van der Lippe Tanja , Veldkamp Joran , Perdomo Carlos J. Vilalta , Eisner Manuel P. 
Published: June 2021

AbstractThe stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings show that the stay-at-home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime.