bluuebunny/crossref_metadata_2025_split huggingface dataset:
Taguchi-based experimental investigation into weld cladding of Ni-WC MMC overlays by CMT process
Authors: Karimi Mohammad Reza , Wang Sheng-Hui , Jelovica Jasmin 
Published: September 2022

AbstractIn the search for versatile and effective weld cladding processes to deposit ultra-wear-resistant Ni-WC MMC (Ni-based tungsten carbide metal matrix composite) overlays for mining applications, there is an increasing interest in exploring advanced low-heat-input cold metal transfer (CMT) method. Depositions of single weld bead tracks of Ni-WC MMCs on steel plates were performed by employing the CMT process; Taguchi’s design of experiments was used to plan the experimental investigation. All weld tracks exhibit continuous and uniform bead profile and sound metallurgical bonding to the substrate. Retained WCs are present in the overlay tracks relatively uniformly. The formation of primary WC and secondary carbides is observed depending on the level of dilution. In contrast to standard gas metal arc welding processes, the volume fraction of retained WC, which is negatively correlated with dilution level, is not directly interrelated with heat input for the CMT process and can reach a high level together with improved weld bead appearance at high deposition rate. Deposition rate has a positive correlation with average instantaneous power, which is, in turn, positively correlated with wire feed speed. The addition of oxygen into shielding gas mixtures promotes carbide transfer from cored feed wire to the weld track and increases the volume fraction of retained WC. Analysis of signal-to-noise ratios shows that it is difficult to find a single set of optimized processing parameters, and trade-offs are needed in engineering practice. The present investigation demonstrates that the Taguchi method is a powerful tool in process improvement for weld cladding of Ni-WC MMC overlays.
Turnover Time Between Elective Operative Cases: Does the Witching Hour Exist for the Operating Room?
Authors: Kamande Stanley , Sarpong Kwadwo , Murray Jerome , Ajayi Ayodeji , Dowlati Ehsan , Nair M. Nathan 
Published: September 2022

AbstractBackgroundEfficient resource management in the operating room (OR) contributes significantly to healthcare expenditure and revenue generation for health systems. We aim to assess the influence that surgeon, anesthesiology, and nursing team assignments and time of day have on turnover time (TOT) in the OR.MethodsWe performed a retrospective review of elective cases at a single academic hospital that were completed between Monday and Friday between the hours of 0700 and 2359 from July 1, 2017, through March 31, 2018. Emergent cases and unplanned, add‐on cases were excluded. Data regarding patient characteristics, OR teams, TOT, and procedure start and end times were collected and analyzed.ResultsA total of 2174 total cases across 13 different specialties were included in our study. A multivariate regression of relevant variables affecting TOT was performed. Consecutive specialty (p < 0.0001), consecutive surgeon (p < 0.0001), anesthesiologist (p < 0.0001), and prior case ending before 1400 (p < 0.0001) were independent predictors of lower TOT. A receiver operating characteristic analysis demonstrated an area under the curve of 0.848 and a cutoff of 1400 having the highest sensitivity and specificity for TOT difference.ConclusionsTOT can be significantly affected by the time of the day the procedure is performed. Staffing availability during late procedures and the differences in how OR team staff are scheduled may affect OR efficiency. Additional studies may be needed to determine the long‐term implications of changes implemented to decrease organizational operational costs related to the OR.
Unsupervised machine learning identifies predictive progression markers of IPF
Authors: Pan Jeanny , Hofmanninger Johannes , Nenning Karl-Heinz , Prayer Florian , Röhrich Sebastian , Sverzellati Nicola , Poletti Venerino , Tomassetti Sara , Weber Michael , Prosch Helmut , Langs Georg 
Published: September 2022

Abstract
Objectives
To identify and evaluate predictive lung imaging markers and their pathways of change during progression of idiopathic pulmonary fibrosis (IPF) from sequential data of an IPF cohort. To test if these imaging markers predict outcome.

Methods
We studied radiological disease progression in 76 patients with IPF, including overall 190 computed tomography (CT) examinations of the chest. An algorithm identified candidates for imaging patterns marking progression by computationally clustering visual CT features. A classification algorithm selected clusters associated with radiological disease progression by testing their value for recognizing the temporal sequence of examinations. This resulted in radiological disease progression signatures, and pathways of lung tissue change accompanying progression observed across the cohort. Finally, we tested if the dynamics of marker patterns predict outcome, and performed an external validation study on a cohort from a different center.

Results
Progression marker patterns were identified and exhibited high stability in a repeatability experiment with 20 random sub-cohorts of the overall cohort. The 4 top-ranked progression markers were consistently selected as most informative for progression across all random sub-cohorts. After spatial image registration, local tracking of lung pattern transitions revealed a network of tissue transition pathways from healthy to a sequence of disease tissues. The progression markers were predictive for outcome, and the model achieved comparable results on a replication cohort.

Conclusions
Unsupervised learning can identify radiological disease progression markers that predict outcome. Local tracking of pattern transitions reveals pathways of radiological disease progression from healthy lung tissue through a sequence of diseased tissue types.

Key Points
• Unsupervised learning can identify radiological disease progression markers that predict outcome in patients with idiopathic pulmonary fibrosis.
• Local tracking of pattern transitions reveals pathways of radiological disease progression from healthy lung tissue through a sequence of diseased tissue types.
• The progression markers achieved comparable results on a replication cohort.
Tachycardiomyopathy entails a dysfunctional pattern of interrelated mitochondrial functions
Authors: Paulus Michael G. , Renner Kathrin , Nickel Alexander G. , Brochhausen Christoph , Limm Katharina , Zügner Elmar , Baier Maria J. , Pabel Steffen , Wallner Stefan , Birner Christoph , Luchner Andreas , Magnes Christoph , Oefner Peter J. , Stark Klaus J. , Wagner Stefan , Maack Christoph , Maier Lars S. , Streckfuss-Bömeke Katrin , Sossalla Samuel , Dietl Alexander 
Published: September 2022

AbstractTachycardiomyopathy is characterised by reversible left ventricular dysfunction, provoked by rapid ventricular rate. While the knowledge of mitochondria advanced in most cardiomyopathies, mitochondrial functions await elucidation in tachycardiomyopathy. Pacemakers were implanted in 61 rabbits. Tachypacing was performed with 330 bpm for 10 days (n = 11, early left ventricular dysfunction) or with up to 380 bpm over 30 days (n = 24, tachycardiomyopathy, TCM). In n = 26, pacemakers remained inactive (SHAM). Left ventricular tissue was subjected to respirometry, metabolomics and acetylomics. Results were assessed for translational relevance using a human-based model: induced pluripotent stem cell derived cardiomyocytes underwent field stimulation for 7 days (TACH–iPSC–CM). TCM animals showed systolic dysfunction compared to SHAM (fractional shortening 37.8 ± 1.0% vs. 21.9 ± 1.2%, SHAM vs. TCM, p < 0.0001). Histology revealed cardiomyocyte hypertrophy (cross-sectional area 393.2 ± 14.5 µm2 vs. 538.9 ± 23.8 µm2, p < 0.001) without fibrosis. Mitochondria were shifted to the intercalated discs and enlarged. Mitochondrial membrane potential remained stable in TCM. The metabolite profiles of ELVD and TCM were characterised by profound depletion of tricarboxylic acid cycle intermediates. Redox balance was shifted towards a more oxidised state (ratio of reduced to oxidised nicotinamide adenine dinucleotide 10.5 ± 2.1 vs. 4.0 ± 0.8, p < 0.01). The mitochondrial acetylome remained largely unchanged. Neither TCM nor TACH–iPSC–CM showed relevantly increased levels of reactive oxygen species. Oxidative phosphorylation capacity of TCM decreased modestly in skinned fibres (168.9 ± 11.2 vs. 124.6 ± 11.45 pmol·O2·s−1·mg−1 tissue, p < 0.05), but it did not in isolated mitochondria. The pattern of mitochondrial dysfunctions detected in two models of tachycardiomyopathy diverges from previously published characteristic signs of other heart failure aetiologies.
Weibull recurrent neural networks for failure prognosis using histogram data
Authors: Dhada Maharshi , Parlikad Ajith Kumar , Steinert Olof , Lindgren Tony 
Published: September 2022

AbstractWeibull time-to-event recurrent neural networks (WTTE-RNN) is a simple and versatile prognosis algorithm that works by optimising a Weibull survival function using a recurrent neural network. It offers the combined benefits of the sequential nature of the recurrent neural network, and the ability of the Weibull loss function to incorporate censored data. The goal of this paper is to present the first industrial use case of WTTE-RNN for prognosis. Prognosis of turbocharger conditions in a fleet of heavy-duty trucks is presented here, where the condition data used in the case study were recorded as a time series of sparsely sampled histograms. The experiments include comparison of the prediction models trained using data from the entire fleet of trucks vs data from clustered sub-fleets, where it is concluded that clustering is only beneficial as long as the training dataset is large enough for the model to not overfit. Moreover, the censored data from assets that did not fail are also shown to be incorporated while optimising the Weibull loss function and improve prediction performance. Overall, this paper concludes that WTTE-RNN-based failure predictions enable predictive maintenance policies, which are enhanced by identifying the sub-fleets of similar trucks.
Megakaryocyte cytoplasmic fragments and ragocytes in the peripheral blood of a domestic cat infected with Anaplasma
Authors: Tvedten H. 
Published: September 2022

AbstractIn this case report, the author reports three strong and highly unusual changes in the peripheral blood of a domestic cat infected with Anaplasma. A freshly made blood smear from the cat Anaplasma had a shower of about 100 variably large to huge cytoplasmic fragments of megakaryocyte cytoplasm along the feathered edge. These had budding of platelets at their margins. Neutrophils with red cytoplasmic inclusions resembling ragocytes and neutrophils with ingested round inclusions of nuclear material were seen in a 1-day-old EDTA blood sample but not the freshly made blood smear. The cells with nuclear material resembled LE cells or alternatively Tart cells.
Upconversion nanoparticle platform for efficient dendritic cell antigen delivery and simultaneous tracking
Authors: Yu Zhenfeng , Vepris Olena , Eich Christina , Feng Yansong , Que Ivo , Camps Marcel G. M. , Zhang Hong , Ossendorp Ferry A. , Cruz Luis J. 
Published: September 2022

AbstractUpconversion nanoparticles (UCNPs) represent a group of NPs that can convert near-infrared (NIR) light into ultraviolet and visible light, thus possess deep tissue penetration power with less background fluorescence noise interference, and do not induce damage to biological tissues. Due to their unique optical properties and possibility for surface modification, UCNPs can be exploited for concomitant antigen delivery into dendritic cells (DCs) and monitoring by molecular imaging. In this study, we focus on the development of a nano-delivery platform targeting DCs for immunotherapy and simultaneous imaging. OVA 254–267 (OVA24) peptide antigen, harboring a CD8 T cell epitope, and Pam3CysSerLys4 (Pam3CSK4) adjuvant were chemically linked to the surface of UCNPs by amide condensation to stimulate DC maturation and antigen presentation. The OVA24-Pam3CSK4-UCNPs were thoroughly characterized and showed a homogeneous morphology and surface electronegativity, which promoted a good dispersion of the NPs.In vitroexperiments demonstrated that OVA24-Pam3CSK4-UCNPs induced a strong immune response, including DC maturation, T cell activation, and proliferation, as well as interferon gamma (IFN-γ) production.In vivo, highly sensitive upconversion luminescence (UCL) imaging of OVA24-Pam3CSK4-UCNPs allowed tracking of UCNPs from the periphery to lymph nodes. In summary, OVA24-Pam3CSK4-UCNPs represent an effective tool for DC-based immunotherapy.Graphical abstract
Does owner handedness influence paw preference in dogs?
Authors: Charlton Kimberley , Frasnelli Elisa 
Published: September 2022

AbstractHandedness has proven to be the most effective and least intrusive measure of laterality in many species. Several studies have investigated paw preference in dogs (Canis familiaris) without considering the potential impact that owner’s handedness may have on it, despite dogs being a domesticated species. The aim of this study was to investigate whether owner handedness influences paw preference in their dogs. Sixty-two dogs had their paw preference tested using a Paw Task and a Reach Task in their home over 10 days, recorded by their owners. Interestingly, it was found that left-handed owners were more likely to own a dog with a left paw bias, and right-handed owners were more likely to own a dog with a right paw bias. In the Paw Task, the hand presented to a dog did not significantly predict which paw the dog lifted in response. Furthermore, it was found that females displayed a right paw bias at all age groups. However, males had a left paw bias in puppyhood and right paw bias in older age groups. We conclude that owner handedness influences paw preference in dogs, and it should be considered when suitably pairing dogs to potential owners, especially in assistance work.
VanA-Enterococcus faecalis in Poland: hospital population clonal structure and vanA mobilome
Authors: Wardal Ewa , Żabicka Dorota , Hryniewicz Waleria , Sadowy Ewa 
Published: September 2022

AbstractThe aim of our study was to characterize the epidemiological situation concerning nosocomial vancomycin-resistant Enterococcus faecalis of VanA-phenotype (VREfs-VanA) in Poland by investigating their clonal relationships and the vanA-associated mobilome. One-hundred twenty-five clinical isolates of VREfs-VanA collected between 2004 and 2016 were studied by phenotypic assays, multilocus sequence typing (MLST), pulsed-field gel electrophoresis (PFGE), PCR detection of plasmid-specific genes, and Tn1546 structure and localization mapping. Selected isolates were subjected to PFGE-S1, Southern hybridization, genomic sequencing and conjugation experiments. The majority of isolates (97.6%) belonged to clonal complexes CC2 and CC87 of E. faecalis. All isolates were resistant to vancomycin and teicoplanin, and resistance to ciprofloxacin and aminoglycosides (high level) was very prevalent in this group. VanA phenotype was associated with 16 types of Tn1546, carrying insertion sequences IS1216, ISEfa4, IS1251 and IS1542, located on repUS1pVEF1, rep1pIP501, rep2pRE25, rep9pAD1/pTEF2/pCF10 and rep6pS86 replicons. The most common Tn1546 B- and BB-type transposons, harbouring one or two copies of IS1216, were inserted between rep18ap200B and repUS1pVEF1 genes and located on ~ 20 kb and 150–200 kb plasmids. VREfs-VanA in Poland represent a polyclonal group, indicating a number of acquisitions of the vanA determinant. The repUS1pVEF1-vanA plasmids, unique for Poland, were the main factor beyond the acquisition of vancomycin resistance by E. faecalis, circulating in Polish hospitals.
Conversational question answering: a survey
Authors: Zaib Munazza , Zhang Wei Emma , Sheng Quan Z. , Mahmood Adnan , Zhang Yang 
Published: September 2022

AbstractQuestion answering (QA) systems provide a way of querying the information available in various formats including, but not limited to, unstructured and structured data in natural languages. It constitutes a considerable part of conversational artificial intelligence (AI) which has led to the introduction of a special research topic on conversational question answering (CQA), wherein a system is required to understand the given context and then engages in multi-turn QA to satisfy a user’s information needs. While the focus of most of the existing research work is subjected to single-turn QA, the field of multi-turn QA has recently grasped attention and prominence owing to the availability of large-scale, multi-turn QA datasets and the development of pre-trained language models. With a good amount of models and research papers adding to the literature every year recently, there is a dire need of arranging and presenting the related work in a unified manner to streamline future research. This survey is an effort to present a comprehensive review of the state-of-the-art research trends of CQA primarily based on reviewed papers over the recent years. Our findings show that there has been a trend shift from single-turn to multi-turn QA which empowers the field of Conversational AI from different perspectives. This survey is intended to provide an epitome for the research community with the hope of laying a strong foundation for the field of CQA.
Multiplication operators in BV spaces
Authors: Reinwand Simon , Kasprzak Piotr 
Published: September 2022

AbstractThe aim of this paper is to provide necessary and sufficient conditions on the generator of a multiplication operator acting in the spaces of functions of bounded Young and Riesz variation so that it is, among other things, invertible, continuous, finite rank, compact, Fredholm or has closed range. Furthermore, we characterize various spectra of such operators and give some estimates on their measure of non-compactness.
Is location a significant parameter in the layer dependent dissection properties of the aorta?
Authors: Ríos-Ruiz Itziar , Martínez Miguel Ángel , Peña Estefanía 
Published: September 2022

AbstractProper characterisation of biological tissue is key to understanding the effect of the biomechanical environment in the physiology and pathology of the cardiovascular system. Aortic dissection in particular is a prevalent and sometimes fatal disease that still lacks a complete comprehension of its progression. Its development and outcome, however, depend on the location in the vessel. Dissection properties of arteries are frequently studied via delamination tests, such as the T-peel test and the mixed-mode peel test. So far, a study that performs both tests throughout different locations of the aorta, as well as dissecting several interfaces, is missing. This makes it difficult to extract conclusions in terms of vessel heterogeneity, as a standardised experimental procedure cannot be assured for different studies in literature. Therefore, both dissection tests have been here performed on healthy porcine aortas, dissecting three interfaces of the vessels, i.e., the intima-media, the media-adventitia and the media within itself, considering different locations of the aorta, the ascending thoracic aorta (ATA), the descending thoracic aorta and the infrarenal abdominal aorta (IAA). Significant differences were found for both, layers and location. In particular, dissection forces in the ATA were the highest and the separation of the intima-media interface required significantly the lowest force. Moreover, dissection in the longitudinal direction of the vessel generally required more force than in the circumferential one. These results emphasise the need to characterise aortic tissue considering the specific location and dissected layer of the vessel.
Impact of the COVID-19 Health Crisis on Trans Women and Cis Men Sex Workers in Spain
Authors: Leyva-Moral Juan M. , Castro Ávila Juliana , Villar Marta , López Beti , Adell Héctor , Meroño Mercè , Santander Kevin , Ferrer Laia , Mesías-Gazmuri Jocelyn , Astudillo Alonso Rocío , Rojas Castro Daniela , Casabona Jordi , Folch Cinta 
Published: September 2022

AbstractThe objective of the study was to describe the impact of the COVID-19 pandemic on sex workers in accessing health and social services. A qualitative study was conducted using semi-structured interviews with 29 participants in Barcelona, Spain. Data were analyzed using thematic analysis. Four themes were identified: (1) impact of COVID-19 on physical/mental health, (2) barriers and facilitators to health/social service access, (3) health decision-making, and (4) suggestions for future pandemic situations. Barriers to accessing health services were structural. Non-governmental organization support was the main facilitating factor. A person-centered, intersectional approach is suggested for future practice, considering co-occurring syndemic factors.
Bullying/Cyberbullying in Secondary Education: A Comparison Between Secondary Schools in Rural and Urban Contexts
Authors: Cabrera M. Carmen , Larrañaga Elisa , Yubero Santiago 
Published: September 2022

AbstractThe aim of the study us to analyze the difference of bullying (traditional bullying and cyberbullying) in rural and urban contexts. A total of 1094 junior and senior high school students (62.5% from urban areas, 37.6% from rural areas) from the region of Castile-La Mancha (Spain) took part herein. The results showed a similar proportion of intervention in all bullying roles and in polybullying in urban and rural context schools. However, victimization and physical bullying perpetration is more frequent in schools in urban areas. In rural schools, aggression is normally aimed at schoolmates. Regression showed the link between context and perpetration role. Victims in rural settings expressed greater distress than victims in schools in urban areas. These results indicate that the size of the population where the schools are located may be a relevant factor for the intervention, as well as the need for intervention at individual, group and community level in collaboration between schools and social services.
The language of discrimination: assessing attention discrimination by Hungarian local governments
Authors: Buda Jakab , Németh Renáta , Simonovits Bori , Simonovits Gábor 
Published: September 2022

AbstractIn our study we assess the responsiveness of Hungarian local governments to requests for information by Roma and non-Roma clients, relying on a nationwide correspondence study. Our paper has both methodological and substantive relevance. The methodological novelty is that we treat discrimination as a classification problem and study to what extent emails written to Roma and non-Roma clients can be distinguished, which in turn serves as a metric of discrimination in general. We show that it is possible to detect discrimination in textual data in an automated way without human coding, and that machine learning (ML) may detect features of discrimination that human coders may not recognize. To the best of our knowledge, our study is the first attempt to assess discrimination using ML techniques. From a substantive point of view, our study focuses on linguistic features the algorithm detects behind the discrimination. Our models worked significantly better compared to random classification (the accuracy of the best of our models was 61%), confirming the differential treatment of Roma clients. The most important predictors showed that the answers sent to ostensibly Roma clients are not only shorter, but their tone is less polite and more reserved, supporting the idea of attention discrimination, in line with the results of Bartos et al. (2016). A higher level of attention discrimination is detectable against male senders, and in smaller settlements. Also, our results can be interpreted as digital discrimination in the sense in which Edelman and Luca (2014) use this term.