bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energetics of stochastic BCM type synaptic plasticity and storing of accurate information
Authors: Karbowski Jan 
Published: February 2021

AbstractExcitatory synaptic signaling in cortical circuits is thought to be metabolically expensive. Two fundamental brain functions, learning and memory, are associated with long-term synaptic plasticity, but we know very little about energetics of these slow biophysical processes. This study investigates the energy requirement of information storing in plastic synapses for an extended version of BCM plasticity with a decay term, stochastic noise, and nonlinear dependence of neuron’s firing rate on synaptic current (adaptation). It is shown that synaptic weights in this model exhibit bistability. In order to analyze the system analytically, it is reduced to a simple dynamic mean-field for a population averaged plastic synaptic current. Next, using the concepts of nonequilibrium thermodynamics, we derive the energy rate (entropy production rate) for plastic synapses and a corresponding Fisher information for coding presynaptic input. That energy, which is of chemical origin, is primarily used for battling fluctuations in the synaptic weights and presynaptic firing rates, and it increases steeply with synaptic weights, and more uniformly though nonlinearly with presynaptic firing. At the onset of synaptic bistability, Fisher information and memory lifetime both increase sharply, by a few orders of magnitude, but the plasticity energy rate changes only mildly. This implies that a huge gain in the precision of stored information does not have to cost large amounts of metabolic energy, which suggests that synaptic information is not directly limited by energy consumption. Interestingly, for very weak synaptic noise, such a limit on synaptic coding accuracy is imposed instead by a derivative of the plasticity energy rate with respect to the mean presynaptic firing, and this relationship has a general character that is independent of the plasticity type. An estimate for primate neocortex reveals that a relative metabolic cost of BCM type synaptic plasticity, as a fraction of neuronal cost related to fast synaptic transmission and spiking, can vary from negligible to substantial, depending on the synaptic noise level and presynaptic firing.
Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set
Authors: Meister Sebastian , Möller Nantwin , Stüve Jan , Groves Roger M. 
Published: February 2021

AbstractIn the aerospace industry, the Automated Fiber Placement process is an established method for producing composite parts. Nowadays the required visual inspection, subsequent to this process, typically takes up to 50% of the total manufacturing time and the inspection quality strongly depends on the inspector. A Deep Learning based classification of manufacturing defects is a possibility to improve the process efficiency and accuracy. However, these techniques require several hundreds or thousands of training data samples. Acquiring this huge amount of data is difficult and time consuming in a real world manufacturing process. Thus, an approach for augmenting a smaller number of defect images for the training of a neural network classifier is presented. Five traditional methods and eight deep learning approaches are theoretically assessed according to the literature. The selected conditional Deep Convolutional Generative Adversarial Network and Geometrical Transformation techniques are investigated in detail, with regard to the diversity and realism of the synthetic images. Between 22 and 166 laser line scan sensor images per defect class from six common fiber placement inspection cases are utilised for tests. The GAN-Train GAN-Test method was applied for the validation. The studies demonstrated that a conditional Deep Convolutional Generative Adversarial Network combined with a previous Geometrical Transformation is well suited to generate a large realistic data set from less than 50 actual input images. The presented network architecture and the associated training weights can serve as a basis for applying the demonstrated approach to other fibre layup inspection images.
A Hilbert Space Approach to Fractional Differential Equations
Authors: Diethelm Kai , Kitzing Konrad , Picard Rainer , Siegmund Stefan , Trostorff Sascha , Waurick Marcus 
Published: February 2021

AbstractWe study fractional differential equations of Riemann–Liouville and Caputo type in Hilbert spaces. Using exponentially weighted spaces of functions defined on $${\mathbb {R}}$$
R
, we define fractional operators by means of a functional calculus using the Fourier transform. Main tools are extrapolation- and interpolation spaces. Main results are the existence and uniqueness of solutions and the causality of solution operators for non-linear fractional differential equations.
Asymptotic Behaviour of the Empirical Distance Covariance for Dependent Data
Authors: Kroll Marius 
Published: February 2021

AbstractWe give two asymptotic results for the empirical distance covariance on separable metric spaces without any iid assumption on the samples. In particular, we show the almost sure convergence of the empirical distance covariance for any measure with finite first moments, provided that the samples form a strictly stationary and ergodic process. We further give a result concerning the asymptotic distribution of the empirical distance covariance under the assumption of absolute regularity of the samples and extend these results to certain types of pseudometric spaces. In the process, we derive a general theorem concerning the asymptotic distribution of degenerate V-statistics of order 2 under a strong mixing condition.
Assessing the comparability of teacher-related constructs in TIMSS 2015 across 46 education systems: an alignment optimization approach
Authors: Glassow Leah Natasha , Rolfe Victoria , Hansen Kajsa Yang 
Published: February 2021

AbstractResearch related to the “teacher characteristics” dimension of teacher quality has proven inconclusive and weakly related to student success, and addressing the teaching contexts may be crucial for furthering this line of inquiry. International large-scale assessments are well positioned to undertake such questions due to their systematic sampling of students, schools, and education systems. However, researchers are frequently prohibited from answering such questions due to measurement invariance related issues. This study uses the traditional multiple group confirmatory factor analysis (MGCFA) and an alignment optimization method to examine measurement invariance in several constructs from the teacher questionnaires in the Trends in International Mathematics and Science Study (TIMSS) 2015 across 46 education systems. Constructs included mathematics teacher’sJob satisfaction,School emphasis on academic success,School condition and resources,Safe and orderly school, and teacher’sSelf-efficacy.The MGCFA results show that just three constructs achieve invariance at the metric level. However, an alignment optimization method is applied, and results show that all five constructs fall within the threshold of acceptable measurement non-invariance. This study therefore presents an argument that they can be validly compared across education systems, and a subsequent comparison of latent factor means compares differences across the groups. Future research may utilize the estimated factor means from the aligned models in order to further investigate the role of teacher characteristics and contexts in student outcomes.
Using a Continuous Measure of Genderedness to Assess Sex Differences in the Attitudes of the Political Elite
Authors: Lönnqvist Jan Erik , Ilmarinen Ville-Juhani 
Published: February 2021

AbstractWe investigated the attitudes of the 11,410 candidates in the Finnish 2017 municipal elections who had responded to a Voting Advice Application. Women candidates were, both in terms of economic and social attitudes, more progressive than men. Building on the gender diagnosticity approach, we used responses to the attitude items to construct a dimensional measure of political genderedness; i.e., a measure of the femininity–masculinity of the individual’s political attitudes. We used this measure to investigate the magnitude of sex differences across parties and the determinants of these differences. Sex differences were larger in parties with more economically right-oriented, socially conservative, well-off, and male candidates. Moreover, these differences were caused by men in these parties being different from other candidates. A similar methodology, in which a continuous measure of genderedness is used to assess sex differences, could be used in other domains of research on political behavior.
Political Obligations and Public Goods
Authors: Taylor Isaac 
Published: February 2021

AbstractThe principle of fairness is a moral principle which states that individuals are under an obligation to contribute towards beneficial cooperative projects. It has been appealed to in arguing that citizens are obligated to pay for public goods that their government supplies. Yet the principle has faced a number of powerful objections, most notably those of Robert Nozick. In responding to some of these objections, proponents of the principle have placed a number of conditions on its application. However, by doing so, they have reduced the number of public goods that the principle can explain obligations to contribute towards, and consequently limited its relevance to questions of political obligation. I argue here that a more permissive version of the principle, with fewer conditions on its application, will perform equally well in responding to Nozick's objections. This opens up the possibility of a theory of political obligation that relies more heavily on the principle of fairness than has previously been thought possible.
Mine Drainage Residual Additions to Lake Sediments Alter Phosphorus and Trace Metal Distributions
Authors: Tang Zepei , Nairn Robert W. 
Published: February 2021

AbstractA greenhouse microcosm study investigated the impacts of recovered iron oxyhydroxide mine drainage residuals (MDRs) on phosphorus (P) and trace metal distributions at the sediment layer/water column interface in Grand Lake o’ the Cherokees, a large reservoir receiving waters impacted by both historic mining and current agricultural land uses. Each mesocosm included 5 kg of lake sediment and 20 L of on-site groundwater. Three treatments were examined in triplicate: control (C) with no additions, low MDR (LM) with 0.3 kg added MDR, and high MDR (HM) with 0.9 kg added MDR. In the first 10 days, aqueous soluble reactive phosphorous (SRP) concentrations decreased likely due to colonizing biomass uptake with no significant differences among the three treatments. LM and HM treatments showed delayed peaks in dissolved oxygen (DO) and lesser peaks in chlorophyll-a (Chl-a) concentrations compared to the C treatment, indicating MDR addition may suppress biomass growth. During days 11 to 138, the C treatment demonstrated increasing pH, decreasing ORP, and biomass decay resulting in significantly increased SRP concentrations. In LM and HM treatments, sufficient P sorption by the MDR maintained low SRP concentrations. Although the MDRs are derived from metal-rich mine waters, all aqueous concentrations were below both hardness-adjusted acute and chronic criteria, except for Pb with regard to the chronic criterion. Metal concentrations in sediments were below the Tri-State Mining District (TSMD)–specific Sediment Quality Guidelines (SQGs). MDR additions may serve as stable long-term P sinks to prevent P release from dead biomass, decrease internal P cycling rates, and mitigate eutrophication, with limited concern for trace metal release.
Sensitive quantitative analysis of psilocin and psilocybin in hair samples from suspected users and their distribution in seized hallucinogenic mushrooms
Authors: Zhou Liying , Xiang Ping , Wen Di , Shen Baohua , Wang Xin , Li Le , Deng Hongxiao , Chen Hang , Yan Hui , Shen Min , Shi Yan , Liu Wanhui 
Published: February 2021

Abstract
Purpose
In this study, we developed a very sensitive method for quantitative analysis of psilocin and psilocybin in hair samples of magic mushroom consumers.

Methods
The analyses were performed with pretreatments of samples, followed by ultra-high pressure liquid chromatography (LC) connected to a Q-Trap type tandem mass spectrometry (MS/MS). For LC, mobile phase (A) consisted of 0.1% formic acid in water, and mobile phase (B) was acetonitrile for gradient elution using a Acquity™ UPLC HSS T3 column. For MS/MS, electrospray ionization measurements in positive selected reaction monitoring mode were used.

Results
The calibration curves were linear from 5 to 500 pg/mg (r > 0.99) and no selectivity problems occurred. The limit of detection was 1 pg/mg, and the lower limit of quantitation was 5 pg/mg. The ranges of the matrix effects and recovery rates were 90.4–107% and 76.0–102%, respectively.

Conclusions
The concentrations of psilocin in two authentic hair were 161 and 150 pg/mg, respectively, and psilocybin was not detected from both samples. This method was also used to analyze the distribution of psilocin and psilocybin in seven hallucinogenic mushrooms. To our knowledge, this is the first demonstration of psilocin concentrations in hair samples of hallucinogenic mushroom consumers, and also our method is most sensitive for quantitative analysis of psilocin and psilocybin in hair samples.
Gambling Before and During the COVID-19 Pandemic Among Online Casino Gamblers: An Empirical Study Using Behavioral Tracking Data
Authors: Auer Michael , Griffiths Mark D. 
Published: February 2021

AbstractGambling, like many other leisure activities, has been greatly affected by the novel coronavirus disease 2019 (COVID-19) pandemic. The present study investigated the behavior of a sample of online casino gamblers before and after the COVID-19 pandemic was announced in March 2020. The authors were given access to behavioral tracking data of a representative sample of 133,286 online casino gamblers by a large European online gambling operator with several online casino Swedish licenses. Online casino gambling activity utilizing daily cross-sectional data was examined over a 5-month period from January 1 to May 31 (2020). Results indicated that the (i) number of active online casino gamblers significantly increased over time, (ii) mean average amount of money bet by online casino gamblers daily significantly decreased over time, (iii) mean average daily bet by online casino gamblers at both the 90th and 99th percentiles significantly decreased over time, and (iv) mean average daily bet by online casino gamblers at the 10th and 25th percentiles significantly increased over time. The analysis also indicated that the number of high-risk players significantly decreased during the 5-month study period. While many different groups have claimed that gambling and problem gambling would increase during the pandemic due to more time being spent at home, evidence from the present study suggests that this is not the case because gambling intensity decreased, at least among Swedish gamblers.
Mobility Patterns During COVID-19 Travel Restrictions in Nairobi Urban Informal Settlements: Who Is Leaving Home and Why
Authors: Pinchoff Jessie , Kraus-Perrotta Cara , Austrian Karen , Tidwell James B. , Abuya Timothy , Mwanga Daniel , Kangwana Beth , Ochako Rhoune , Muluve Eva , Mbushi Faith , Nzioki Mercy , Ngo Thoai D. 
Published: February 2021

AbstractNairobi’s urban slums are ill equipped to prevent spread of the novel coronavirus disease (COVID-19) due to high population density, multigenerational families in poorly ventilated informal housing, and poor sanitation. Physical distancing policies, curfews, and a citywide lockdown were implemented in March and April 2020 resulting in sharp decreases in movement across the city. However, most people cannot afford to stay home completely (e.g., leaving daily to fetch water). If still employed, they may need to travel longer distances for work, potentially exposing them COVID-19 or contributing to its spread. We conducted a household survey across five urban slums to describe factors associated with mobility in the previous 24 h. A total of 1695 adults were interviewed, 63% female. Of these, most reported neighborhood mobility within their informal settlement (54%), 19% stayed home completely, and 27% reported long-distance mobility outside their informal settlement, mainly for work. In adjusted multinomial regression models, women were 58% more likely than men to stay home (relative risk ratio (RRR): 1.58, 95% confidence interval (CI): 1.16, 2.14) and women were 60% less likely than men to report citywide mobility (RRR: 0.40; 95% CI 0.31, 0.52). Individuals in the wealthiest quintile, particularly younger women, were most likely to not leave home at all. Those who reported citywide travel were less likely to have lost employment (RRR: 0.49; 95% CI 0.38, 0.65) and were less likely to avoid public transportation (RRR: 0.30; 95% CI 0.23, 0.39). Employment and job hunting were the main reasons for traveling outside of the slum; less than 20% report other reasons. Our findings suggest that slum residents who retain their employment are traveling larger distances across Nairobi, using public transportation, and are more likely to be male; this travel may put them at higher risk of COVID-19 infection but is necessary to maintain income. Steps to protect workers from COVID-19 both in the workplace and while in transit (including masks, hand sanitizer stations, and reduced capacity on public transportation) are critical as economic insecurity in the city increases due to COVID-19 mitigation measures. Workers must be able to commute and maintain employment to not be driven further into poverty. Additionally, to protect the majority of individuals who are only travelling locally within their settlement, mitigation measures such as making masks and handwashing stations accessible within informal settlements must also be implemented, with special attention to the burden placed on women.
Does Proof of Concept Trump All? RRI Dilemmas in Research Practices
Authors: Borch Anita , Throne-Holst Harald 
Published: February 2021

AbstractResponsible Research and Innovation (RRI) is described as a new way of doing science that brings science closer to society. Based on a qualitatively oriented case study, this article supports previous research indicating that researchers face a variety of ethical problems and dilemmas when implementing RRI for the first time. These include difficulties with anticipating and controlling future impacts, an asymmetry of power between project partners and an elusive understanding of the RRI concept. The researchers’ challenges were rooted in conventional research ethics and could be boiled down to one core dilemma: If RRI had been applied from the very beginning of the project period, the chance of realising proof of concept within the scheduled time may decrease. The researchers’ solution to this dilemma was to prioritize proof of concept and postpone RRI activities to later stages of the project. If RRI is expected to live up to its ambition of representing a new way of doing science, more effort is needed at the political level to facilitate change.
TraMiner: Vision-Based Analysis of Locomotion Traces for Cognitive Assessment in Smart-Homes
Authors: Zolfaghari Samaneh , Khodabandehloo Elham , Riboni Daniele 
Published: February 2021

AbstractThe rapid increase in the senior population is posing serious challenges to national healthcare systems. Hence, innovative tools are needed to early detect health issues, including cognitive decline. Several clinical studies show that it is possible to identify cognitive impairment based on the locomotion patterns of the elderly. In this work, we investigate the use of sensor data and deep learning to recognize those patterns in instrumented smart-homes. In order to get rid of the noise introduced by indoor constraints and activity execution, we introduce novel visual feature extraction methods for locomotion data. Our solution relies on locomotion trace segmentation, image-based extraction of salient features from locomotion segments, and vision-based deep learning. We carried out extensive experiments with a large dataset acquired in a smart-home test bed from 153 seniors, including people with cognitive diseases. Results show that our system can accurately recognize the cognitive status of the senior, reaching a macro-$$F_1$$

F
1

score of 0.873 for the three categories that we target: cognitive health, mild cognitive impairment, and dementia. Moreover, an experimental comparison shows that our system outperforms state-of-the-art methods.
The specialized thoracic skeletomuscular system of the myrmecophile Claviger testaceus (Pselaphinae, Staphylinidae, Coleoptera)
Authors: Luo Xiao-Zhu , Jałoszyński Paweł , Stoessel Alexander , Beutel Rolf Georg 
Published: February 2021

AbstractExternal and internal structures of the thorax of the myrmecophile beetleClaviger testaceus(Clavigeritae, Pselaphinae) were examined and documented with state-of-the-art visualization techniques. Following a general trend in the omaliine lineage (Staphylinidae), the skeletal elements of the pro- and pterothorax inClavigerreach a maximum degree of compactness, with largely reduced inter- and intrasegmental sutures and skeletal elements linked with the flight apparatus. The musculature, especially metathoracic direct and indirect flight muscles, also shows a high degree of reduction. Two forms of wings were found among individuals ofC. testaceus, both non-functional and representing an advanced stage of reduction. However, that wing vestiges are still present and the metanotum, only slightly reduced, suggests that loss of flight in this species is likely the result of a young evolutionary process. Several structures are linked with myrmecophilous habits: small body size facilitates transportation of beetles by ant workers and makes it easier to move inside nest tunnels; the remarkably compact body and mechanically robust appendages make the beetles less vulnerable to attacks by ant mandibles; the improved elytral interlocking mechanism and unusually expanded epipleura enhance the protection of vulnerable dorsal parts of the pterothorax and anterior abdomen; and glands associated with trichomes on the posterolateral elytral angle produce secretions attractive for ants. Various modifications of the thorax and anterior abdomen lead to an optimization of intimate associations with ants. The morphological syndrome enabling these beetles to cope with life in ant colonies evolved in several steps. This is suggested by an increasing solidification of the thoracic skeleton in related non-myrmecophilous groups and also by less modified related clavigerites;for instance, ant-associated tropical species are still able to fly.
Algebraic aspects of hypergeometric differential equations
Authors: Reichelt Thomas , Schulze Mathias , Sevenheck Christian , Walther Uli 
Published: February 2021

AbstractWe review some classical and modern aspects of hypergeometric differential equations, including A-hypergeometric systems of Gel$$'$$

′

fand, Graev, Kapranov and Zelevinsky. Some recent advances in this theory, such as Euler–Koszul homology, rank jump phenomena, irregularity questions and Hodge theoretic aspects are discussed with more details. We also give some applications of the theory of hypergeometric systems to toric mirror symmetry.