bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theoretical Investigation of Combustion and Performance Analysis of Diesel Engine under Low Load Conditions
Authors: Mustayen A G M B , Wang X , Rasul M G , Hamilton JM , Negnevitsky M 
Published: August 2021

Abstract
Diesel engine is using prominently in islands and remote areas due to its reliability and stability for power generation. In recent years, most of the isolated power systems (e.g., islands and remote areas) have integrated renewable energies to reduce both the cost and pollution in diesel power generating system. However, due to intermittent and stochastic behaviour of renewable sources (e.g., solar and wind), it is unable to eliminate diesel generation entirely. In that case, low-load diesel operation (operation < 30% of maximum rated load) is particularly relevant for its ability to support higher levels of renewable penetration. In this paper, a thermodynamic model was developed using MATLAB for diesel engine combustion and performance. This model includes sub models such as heat release rate, heat transfer, double-Wiebe function, and ignition delay correlation. Engine thermal efficiency (TE), brake power (BP), indicated mean effective pressure (IMEP) and brake specific fuel consumption (BSFC) has been taken into consideration for performance analysis. The simulation results show that at 25% load, in-cylinder pressure and temperature are 168 bar and 2300 K which are the cause of lower heat release rate (74 J/deg) and longer ignition delay (0.25 ∼0.5 ms higher than that of conventional mode) and significantly responsible for lower efficiency (18%), brake power (4kW) and higher brake specific fuel consumption (1.2 g/kWh).
New probability distribution describing emergence in state space
Authors: Pazuki Roozbeh H , Jensen Henrik Jeldtoft 
Published: August 2021

Abstract
We revisit the pairing model of state spaces with new emergent states introduced in (J. Phys. A: Math. Theor.
51 375 002, 2018). We facilitate our analysis by introducing a simplified pairing model consisting of balls able to form pairs but without any internal structure. For both the simplified and the original model we compute exactly the probability distribution for observing a state with n

p
pairs. We show this distribution satisfies a large deviation principle with speed

n
ln
(
n
)

. We present closed form expressions for a variety of statistical quantities including moments and marginal distributions.
An AI-assisted chatbot for radiation safety education in radiotherapy
Authors: Kovacek David , Chow James C L 
Published: August 2021

Abstract

Purpose. We created a virtual assistant chatbot that will serve as a tool for radiation safety training for clinical staff, including radiation oncologist, radiotherapist and medical physicist, in cancer treatment. The Bot can also be used to test their knowledge on radiation safety. Methods. The Bot was constructed using IBM’s Watson Assistant functionalities on the IBM cloud. A layered structure approach was used in the workflow of the Bot to interact with the user. Through answering various questions concerning radiation safety in radiotherapy, the users can learn the essential information to gain knowledge, when working in a cancer centre/hospital. Results. The user interface of the Bot was a front-end window operating on Internet, which could easily be accessed by any Internet-of-things such as smartphone, tablet or laptop. The Bot could communicate with the user for radiation safety Q&A. If the Bot could not identify what the user needed, the Bot would provide a list of options as a guidance. Using the natural language processing in communication, knowledge transfer from the Bot to user could be carried out. Conclusion. It is concluded that the radiation safety chatbot worked as intended, utilizing all the tools provided by the IBM Watson Assistant. The Bot could provide radiation safety information to the radiation staff effectively, and be used in staff training in radiotherapy.
Dynamical Modeling as a Tool for Inferring Causation
Authors: Ackley Sarah F , Lessler Justin , Glymour M Maria 
Published: August 2021

AbstractDynamical models, commonly used in infectious disease epidemiology, are formal mathematical representations of time-changing systems or processes. For many chronic disease epidemiologists, the link between dynamical models and predominant causal inference paradigms is unclear. In this commentary, we explain the use of dynamical models for representing causal systems and the relevance of dynamical models for causal inference. In certain simple settings, dynamical modeling and conventional statistical methods (e.g., regression-based methods) are equivalent, but dynamical modeling has advantages over conventional statistical methods for many causal inference problems. Dynamical models can be used to transparently encode complex biological knowledge, interference and spillover, effect modification, and variables that influence each other in continuous time. As our knowledge of biological and social systems and access to computational resources increases, there will be growing utility for a variety of mathematical modeling tools in epidemiology.
Evolutionary and biogeographical support for species-specific proteins in lizard chemical signals
Authors: Mangiacotti Marco , Baeckens Simon , Scali Stefano , Martín José , Van Damme Raoul , Sacchi Roberto 
Published: August 2021

Abstract
The species-specific components of animal signals can facilitate species recognition and reduce the risks of mismatching and interbreeding. Nonetheless, empirical evidence for species-specific components in chemical signals is scarce and mostly limited to insect pheromones. Based on the proteinaceous femoral gland secretions of 36 lizard species (Lacertidae), we examine the species-specific component potential of proteins in lizard chemical signals. By quantitative comparison of the one-dimensional electrophoretic patterns of the protein fraction from femoral gland secretions, we first reveal that the protein composition is species specific, accounting for a large part of the observed raw variation and allowing us to discriminate species on this basis. Secondly, we find increased protein pattern divergence in sympatric, closely related species. Thirdly, lizard protein profiles show a low phylogenetic signal, a recent and steep increase in relative disparity and a high rate of evolutionary change compared with non-specifically signal traits (i.e. body size and shape). Together, these findings provide support for the species specificity of proteins in the chemical signals of a vertebrate lineage.
Biallelic PI4KA variants cause neurological, intestinal and immunological disease
Authors: Salter Claire G , Cai Yiying , Lo Bernice , Helman Guy , Taylor Henry , McCartney Amber , Leslie Joseph S , Accogli Andrea , Zara Federico , Traverso Monica , Fasham James , Lees Joshua A , Ferla Matteo P , Chioza Barry A , Wenger Olivia , Scott Ethan , Cross Harold E , Crawford Joanna , Warshawsky Ilka , Keisling Matthew , Agamanolis Dimitris , Ward Melver Catherine , Cox Helen , Elawad Mamoun , Marton Tamas , Wakeling Matthew N , Holzinger Dirk , Tippelt Stephan , Munteanu Martin , Valcheva Deyana , Deal Christin , Van Meerbeke Sara , Walsh Vockley Catherine , Butte Manish J , Acar Utkucan , van der Knaap Marjo S , Korenke G Christoph , Kotzaeridou Urania , Balla Tamas , Simons Cas , Uhlig Holm H , Crosby Andrew H , De Camilli Pietro , Wolf Nicole I , Baple Emma L 
Published: August 2021

Abstract
Phosphatidylinositol 4-kinase IIIα (PI4KIIIα/PI4KA/OMIM:600286) is a lipid kinase generating phosphatidylinositol 4-phosphate (PI4P), a membrane phospholipid with critical roles in the physiology of multiple cell types. PI4KIIIα’s role in PI4P generation requires its assembly into a heterotetrameric complex with EFR3, TTC7 and FAM126. Sequence alterations in two of these molecular partners, TTC7 (encoded by TTC7A or TCC7B) and FAM126, have been associated with a heterogeneous group of either neurological (FAM126A) or intestinal and immunological (TTC7A) conditions.
Here we show that biallelic PI4KA sequence alterations in humans are associated with neurological disease, in particular hypomyelinating leukodystrophy. In addition, affected individuals may present with inflammatory bowel disease, multiple intestinal atresia and combined immunodeficiency. Our cellular, biochemical and structural modelling studies indicate that PI4KA-associated phenotypical outcomes probably stem from impairment of PI4KIIIα-TTC7-FAM126's organ-specific functions, due to defective catalytic activity or altered intra-complex functional interactions.
Together, these data define PI4KA gene alteration as a cause of a variable phenotypical spectrum and provide fundamental new insight into the combinatorial biology of the PI4KIIIα-FAM126-TTC7-EFR3 molecular complex.
Neuropathology in the North American sudden unexpected death in epilepsy registry
Authors: Leitner Dominique F , Faustin Arline , Verducci Chloe , Friedman Daniel , William Christopher , Devore Sasha , Wisniewski Thomas , Devinsky Orrin 
Published: August 2021

Abstract
Sudden unexpected death in epilepsy is the leading category of epilepsy-related death and the underlying mechanisms are incompletely understood. Risk factors can include a recent history and high frequency of generalized tonic-clonic seizures, which can depress brain activity postictally, impairing respiration, arousal and protective reflexes. Neuropathological findings in sudden unexpected death in epilepsy cases parallel those in other epilepsy patients, with no implication of novel structures or mechanisms in seizure-related deaths. Few large studies have comprehensively reviewed whole brain examination of such patients. We evaluated 92 North American Sudden unexpected death in epilepsy Registry cases with whole brain neuropathological examination by board-certified neuropathologists blinded to the adjudicated cause of death, with an average of 16 brain regions examined per case. The 92 cases included 61 sudden unexpected death in epilepsy (40 definite, 9 definite plus, 6 probable, 6 possible) and 31 people with epilepsy controls who died from other causes. The mean age at death was 34.4 years and 65.2% (60/92) were male. The average age of death was younger for sudden unexpected death in epilepsy cases than for epilepsy controls (30.0 versus 39.6 years; P = 0.006), and there was no difference in sex distribution respectively (67.3% male versus 64.5%, P = 0.8). Among sudden unexpected death in epilepsy cases, earlier age of epilepsy onset positively correlated with a younger age at death (P = 0.0005) and negatively correlated with epilepsy duration (P = 0.001). Neuropathological findings were identified in 83.7% of the cases in our cohort. The most common findings were dentate gyrus dysgenesis (sudden unexpected death in epilepsy 50.9%, epilepsy controls 54.8%) and focal cortical dysplasia (FCD) (sudden unexpected death in epilepsy 41.8%, epilepsy controls 29.0%). The neuropathological findings in sudden unexpected death in epilepsy paralleled those in epilepsy controls, including the frequency of total neuropathological findings as well as the specific findings in the dentate gyrus, findings pertaining to neurodevelopment (e.g. FCD, heterotopias) and findings in the brainstem (e.g. medullary arcuate or olivary dysgenesis). Thus, like prior studies, we found no neuropathological findings that were more common in sudden unexpected death in epilepsy cases. Future neuropathological studies evaluating larger sudden unexpected death in epilepsy and control cohorts would benefit from inclusion of different epilepsy syndromes with detailed phenotypic information, consensus among pathologists particularly for more subjective findings where observations can be inconsistent, and molecular approaches to identify markers of sudden unexpected death in epilepsy risk or pathogenesis.
Longhorned Beetle Functional Diversity in Response to Biomass Harvesting
Authors: Holland Jeffrey D 
Published: August 2021

AbstractWoody debris left after timber harvest may be used to produce bioenergy. This will help reduce reliance on nonrenewable fossil fuels. There are ecological impacts to the use of this woody material as many species use coarse woody debris for food and shelter. An understanding of how the removal of woody biomass after forest harvest changes the functional diversity of forest communities is needed to make sustainable management decisions. Many longhorned beetles (Coleoptera: Cerambycidae) provide ecosystem services by reducing woody debris in forests and pollinating flowering plants including trees. I used a taxonomically and functionally diverse community of longhorned beetles to examine changes to functional diversity following different levels of biomass removal in a secondary forest in south-central Indiana, USA. The functional diversity was measured prior to forest harvest and biomass removal and for 2 yr after treatment. I predicted that the abundance and functional group richness of the longhorned beetles would correlate positively with the volume of woody biomass left on the site, and that the community would show resilience by returning to the functional portfolio that was in place in the pre-harvest communities and occurred in the control. The abundance and functional group richness increased with more woody debris left on site. There was much variance in the trajectory of the community following harvest, with no clear trend toward pre-harvest functional portfolio that would indicate resilience. A 3-yr study is likely not long enough to capture this resilience, especially on sensitive sites.
Understanding Ethnolinguistic Differences: The Roles of Geography and Trade
Authors: Dickens Andrew 
Published: August 2021

Abstract
I study the role of trade on inter-ethnic linguistic differences in the long run. I hypothesise that the geographic environment of neighbouring ethnic groups determines their potential gains from trade, and that the frequency of inter-ethnic trade—and resulting social interactions—shape the co-evolution of language. As a test of this hypothesis, I build a georeferenced dataset to examine the border region of spatially adjacent ethnic groups, together with variation in the set of potentially cultivatable crops at the onset of the Columbian Exchange, to identify how variation in land productivity impacts linguistic differences between adjacent ethnic groups. I find that ethnic groups separated across geographic regions with high variation in land productivity are more similar in language than groups separated across more homogeneous regions. I develop a model to theoretically ground this link between land productivity variation and inter-ethnic trade, and provide empirical evidence in support of this mechanism, including direct evidence of a causal link between land productivity variation and an ethnic group’s reliance on trade for food and subsistence in pre-modern times.
Health workforce protection and preparedness during the COVID-19 pandemic: a tool for the rapid assessment of EU health systems
Authors: Kuhlmann Ellen , Brînzac Monica-Georgiana , Burau Viola , Correia Tiago , Ungureanu Marius-Ionut 
Published: August 2021

Abstract
This article is dedicated to the WHO International Year of Health and Care Workers in 2021 in recognition of their commitment during the COVID-19 pandemic. The study aims to strengthen health workforce preparedness, protection and ultimately resilience during a pandemic. We argue for a health system approach and introduce a tool for rapid comparative assessment based on integrated multi-level governance. We draw on secondary sources and expert information, including material from Denmark, Germany, Portugal and Romania. The results reveal similar developments across countries: action has been taken to improve physical protection, digitalization and prioritization of healthcare worker vaccination, whereas social and mental health support programmes were weak or missing. Developments were more diverse in relation to occupational and organizational preparedness: some ad-hoc transformations of work routines and tasks were observed in all countries, yet skill-mix innovation and collaboration were strongest in Demark and weak in Portugal and Romania. Major governance gaps exist in relation to education and health integration, surveillance, social and mental health support programmes, gendered issues of health workforce capacity and integration of migrant healthcare workers (HCW). There is a need to step up efforts and make health systems more accountable to the needs of HCW during global public health emergencies.
The Development of Life Goals Across the Adult Life Span
Authors: Buchinger Laura , Richter David , Heckhausen Jutta 
Published: August 2021

AbstractObjectivesLife goals are important organizing units for individual agency in development. On a societal level, they align with age-normative developmental tasks; on the individual level, they guide people’s attempts at shaping their own development. This study investigates the development of life goals across the adult life span with a focus on differences regarding gender, parental status, education, and region.MethodUsing longitudinal data from the German Socio-Economic Panel study (N = 52,052, age range: 18–84 years), we estimated the developmental trajectories of importance ratings for 9 life goals across the adult life span using multiple-group latent growth curve modeling.ResultsHaving a happy relationship or marriage, having children, and being there for others are the life goals rated as most important across almost the entire adult life span. Having a happy relationship or marriage differed strongly by gender. Up to middle adulthood it was more important for women, but more important for men in late adulthood. Parental status amplified gender differences in the work and family domain. Low education was associated with a higher perceived importance of being there for others. The largest regional differences (East vs. West) were found for home ownership.DiscussionAlthough the importance of some life goal trajectories reflects typical age-grading in developmental tasks, other life goals (e.g., having children) remain important even after goal attainment or after developmental deadlines have passed.
The optimal correlation detector?
Authors: Gibbons Steven J 
Published: August 2021

SUMMARY
Correlation detectors are now used routinely in seismology to detect occurrences of signals bearing close resemblance to a reference waveform. They facilitate the detection of low-amplitude signals in significant background noise that may elude detection using energy detectors, and they associate a detected signal with a source location. Many seismologists use the fully normalized correlation coefficient C between the template and incoming data to determine a detection. This is in contrast to other fields with a longer tradition for matched filter detection where the theoretically optimal statistic C2 is typical. We perform a systematic comparison between the detection statistics C and C|C|, the latter having the same dynamic range as C2 but differentiating between correlation and anticorrelation. Using a database of short waveform segments, each containing the signal on a 3-component seismometer from one of 51 closely spaced explosions, we attempt to detect P- and S-phase arrivals for all events using short waveform templates from each explosion as reference signals. We present empirical statistics of both C and C|C| traces and demonstrate that C|C| detects confidently a higher proportion of the signals than C without evidently increasing the likelihood of triggering erroneously. We recall from elementary statistics that C2, also called the coefficient of determination, represents the fraction of the variance of one variable which can be explained by another variable. This means that the fraction of a segment of our incoming data that could be explained by our signal template decreases almost linearly with C|C| but diminishes more rapidly as C decreases. In most situations, replacing C with C|C| in operational correlation detectors may improve the detection sensitivity without hurting the performance-gain obtained through network stacking. It may also allow a better comparison between single-template correlation detectors and higher order multiple-template subspace detectors which, by definition, already apply an optimal detection statistic.
Protective effects of a small molecule inhibitor ligand against hyperphosphorylated tau-induced mitochondrial and synaptic toxicities in Alzheimer disease
Authors: Pradeepkiran Jangampalli Adi , Munikumar Manne , Reddy Arubala P , Reddy P Hemachandra 
Published: August 2021

Abstract
The purpose of our study is to understand the protective effects of small molecule ligands for phosphorylated tau (p-tau) in Alzheimer’s disease (AD) progression. Many reports show evidence that phosphorylated tau is reported to be an important contributor to the formation of paired helical filaments (PHFs) and neurofibrillary tangles (NFTs) in AD neurons. In AD, glycogen synthase kinase-3 beta (GSK3β), cyclin-dependent kinase-5 and dual specificity tyrosine-phosphorylation-regulated kinase 1A (DYRK1A), are the three important kinases responsible for tau hyperphosphorylation. Currently, there are no drugs and/or small molecules that reduce the toxicity of phosphorylated tau in AD. In the present study, we rationally selected and validated small molecule ligands that bind to the phosphorylated tau at SER23 (Ser 285) and TYR44 (Tyr310). We also assessed the molecular dynamics and validated molecular docking sites for the three best ligands. Based on the best docking scores −8.09, −7.9 and −7.8 kcal/mol, we found that ligand 1 binds to key hyperphosphorylation residues of phosphorylated tau that inhibit abnormal PHF-tau, DYRK1A and GKS3β that reduce phosphorylated tau levels in AD. Using biochemical, molecular, immunoblotting, immunofluorescence and transmission electron microscopy analyses, we studied the ligand 1 inhibition as well as mitochondrial and synaptic protective effects in immortalized primary hippocampal neuronal (HT22) cells. We found interactions between NAT10-262501 (ligand 1) and phosphorylated tau at key phosphorylation sites and these ligand-based inhibitions decreased PHF-tau, DYRK1A and GSK3β levels. We also found increased mitochondrial biogenesis, mitochondrial fusion and synaptic activities and reduced mitochondrial fission in ligand 1-treated mutant tau HT22 cells. Based on these results, we cautiously conclude that phosphorylated tau NAT10-262501 (ligand 1) reduces hyperphosphorylation of tau based GKS3β and CDK5 kinase regulation in AD, and aids in the maintenance of neuronal structure, mitochondrial dynamics and biogenesis with a possible therapeutic drug target for AD.
Seal interactions and exits from fisheries: insights from the Baltic Sea cod fishery
Authors: Blomquist Johan , Waldo Staffan 
Published: August 2021

AbstractThe number of seals in the Baltic Sea has increased dramatically in recent years. While growing seal populations are associated with a thriving marine environment, seals interact with coastal fisheries causing significant damages to catches and gears. One fishery that is severely affected is the coastal cod fishery where the negative impact of seals is believed by many to threaten the existence of the fishery. This article empirically investigates to what extent seal damages can explain the declining number of fishing vessels active in the Baltic Sea coastal cod fishery. The analysis makes use of detailed logbook data and statistical survival models to estimate the effect of seal interactions with fishing gears on the exit probability of vessels in the Swedish cod fishery. The results show that seal interactions is an important factor explaining exits, suggesting that total losses caused by seals go beyond observed costs of broken gears and damaged catches.