bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nonlinear flag manifolds as coadjoint orbits
Authors: Haller Stefan , Vizman Cornelia 
Published: September 2020

AbstractA nonlinear flag is a finite sequence of nested closed submanifolds. We study the geometry of Fréchet manifolds of nonlinear flags, in this way generalizing the nonlinear Grassmannians. As an application, we describe a class of coadjoint orbits of the group of Hamiltonian diffeomorphisms that consist of nested symplectic submanifolds, i.e., symplectic nonlinear flags.
Management of the poultry red mite, Dermanyssus gallinae, using silica-based acaricides
Authors: Ulrichs Christian , Han Young Jong , Abdelhamid Magdi T. , Mewis Inga 
Published: September 2020

AbstractFour silica-based acaricides were examined in laboratory tests for their effectiveness against poultry red mite, Dermanyssus gallinae. All acaricides resulted in 100% mite mortality. Two groups of active ingredients could be differentiated. The products Silicosec® and Ewazid®, based on naturally occurring diatomaceous earth (DE), killed 100% of adult D. gallinae within 48 h exposure time. The time to kill 50% of the mites (LT50) was calculated to be 31.7 and 34.9 h, respectively. The other two products, containing aggregates and agglomerates of pyrogenic synthetic amorphous silicon dioxide as active ingredients, killed the mites in a significantly shorter time: LT50 was 6.3 h for the liquid product Fossil Shield® Instant White and 11.8 h for the powdery product Fossil Shield 90.0 White. This is more remarkable as the quantities of active ingredients used for the DE treatments were several folds higher. The effectiveness of all tested products was also shown in practical tests. A professional company treated five chicken houses on one farm in the Berlin–Brandenburg region with the test products, three houses with Fossil Shield Instant White and one each with Ewazid and Silicosec. Over a period of 46 weeks after stocking, the mite development in the houses was assessed. Only in one of the houses, treated with Fossil Shield Instant White, the mite population remained permanently low. In two houses treated with Fossil Shield Instant White, small mite colonies appeared in week 36, which were controlled by a follow-up spot treatment in week 41. In the houses treated with DE, the first mite colonies appeared 12 weeks after stocking. The number increased continuously over the experimental period and in week 31 after stocking there were clearly visible colonies (2–3 cm diameter) and the first mites could also be detected on the chicken eggs. At this time both houses were treated again with a follow-up spot-treatment, which only led to a slight improvement in one house and to a stabilization of the infestation in the other house. In week 41, large mite colonies were detected in both houses. A spot treatment at this point was ineffective in reducing the infestation. The tests showed faster acaricidal action of the products with the synthetic active ingredients compared to the natural DE-based products. This matches the shorter killing times under laboratory conditions. The experiments in a commercial chicken farm showed that it is possible to control the mite population for a period of 46 weeks by using physically effective SiO2-based products. These products are therefore an effective alternative to the use of chemical acaricides.
Zoocentrism in the weeds? Cultivating plant models for cognitive yield
Authors: Linson Adam , Calvo Paco 
Published: September 2020

AbstractIt remains at best controversial to claim, non-figuratively, that plants are cognitive agents. At the same time, it is taken as trivially true that many (if not all) animals are cognitive agents, arguably through an implicit or explicit appeal to natural science. Yet, any given definition of cognition implicates at least some further processes, such as perception, action, memory, and learning, which must be observed either behaviorally, psychologically, neuronally, or otherwise physiologically. Crucially, however, for such observations to be intelligible, they must be counted as evidence for some model. These models in turn point to homologies of physiology and behavior that facilitate the attribution of cognition to some non-human animals. But, if one is dealing with a model of animal cognition, it is tautological that only animals can provide evidence, and absurd to claim that plants can. The more substantive claim that, given a general model of cognition, only animals but not plants can provide evidence, must be evaluated on its merits. As evidence mounts that plants meet established criteria of cognition, from physiology to behavior, they continue to be denied entry into the cognitive club. We trace this exclusionary tendency back to Aristotle, and attempt to counter it by drawing on the philosophy of modelling and a range of findings from plant science. Our argument illustrates how a difference in degree between plant and animals is typically mistaken for a difference in kind.
Mental Health Service Users’ Perceptions of Stigma, From the General Population and From Mental Health Professionals in Mexico: A Qualitative Study
Authors: Lagunes-Cordoba Emmeline , Davalos Alan , Fresan-Orellana Ana , Jarrett Manuela , Gonzalez-Olvera Jorge , Thornicroft Graham , Henderson Claire 
Published: September 2020

AbstractNegative attitudes towards people with mental health disorders have been widely studied and identified in the general population, and even within health care professionals. Moreover, studies focused on service users have also identified mental health professionals, including psychiatrists, as a source of stigma. However, in Mexico and Latin America few studies have been conducted addressing this issue. To explore mental health service users’ perceptions of stigma by members of the general population and by psychiatrists in Mexico, service users at a psychiatric hospital in Mexico were invited to participate in either focus groups or individual interviews, which were audio recorded, transcribed and analysed using thematic analysis. A total of 47 service users participated in this study. The results suggested that participants were not only aware of the possible consequences of mental health related stigma, but they have also experienced stigmatisation for having a mental illness. Participants also considered psychiatrists can hold negative attitudes towards people with mental illness, something that can represent a barrier for them to have optimal quality of care. Therefore, participants agreed that these attitudes should be addressed to improve the care they received from these professionals. This study suggests that, like members of the general population, psychiatrists are also considered as a source of stigma by people with mental illness in Mexico. These findings not only add to previous work conducted in Mexico and other countries, they also confirm the importance of addressing negative attitudes in this group of health professionals.
A machine learning approximation of the 2015 Portuguese high school student grades: A hybrid approach
Authors: Costa-Mendes Ricardo , Oliveira Tiago , Castelli Mauro , Cruz-Jesus Frederico 
Published: September 2020

AbstractThis article uses an anonymous 2014–15 school year dataset from the Directorate-General for Statistics of Education and Science (DGEEC) of the Portuguese Ministry of Education as a means to carry out a predictive power comparison between the classic multilinear regression model and a chosen set of machine learning algorithms. A multilinear regression model is used in parallel with random forest, support vector machine, artificial neural network and extreme gradient boosting machine stacking ensemble implementations. Designing a hybrid analysis is intended where classical statistical analysis and artificial intelligence algorithms are blended to augment the ability to retain valuable conclusions and well-supported results. The machine learning algorithms attain a higher level of predictive ability. In addition, the stacking appropriateness increases as the base learner output correlation matrix determinant increases and the random forest feature importance empirical distributions are correlated with the structure of p-values and the statistical significance test ascertains of the multiple linear model. An information system that supports the nationwide education system should be designed and further structured to collect meaningful and precise data about the full range of academic achievement antecedents. The article concludes that no evidence is found in favour of smaller classes.
Epistemic Injustice and the Attention Economy
Authors: Smith Leonie , Archer Alfred 
Published: September 2020

AbstractIn recent years, a significant body of literature has emerged on the subject of epistemic injustice: wrongful harms done to people in their capacities as knowers (Fricker 2007). Up to now this literature has ignored the role that attention has to play in epistemic injustice. This paper makes a first step towards addressing this gap. We argue that giving someone less attention than they are due, which we call an epistemic attention deficit, is a distinct form of epistemic injustice. We begin by outlining what we mean by epistemic attention deficits, which we understand as a failure to pay someone the attention they are due in their role as an epistemic agent. We argue that these deficits constitute epistemic injustices for two reasons. First, they affect someone’s ability to influence what others believe. Second, they affect one’s ability to influence the shared common ground in which testimonial exchanges take place. We then outline the various ways in which epistemic attention deficits harm those who are subject to them. We argue that epistemic attention deficits are harms in and of themselves because they deprive people of an essential component of epistemic agency. Moreover, epistemic attention deficits reduce an agent’s ability to participate in valuable epistemic practices. These two forms of harm have important impacts on educational performance and the distribution of resources. Finally, we argue that epistemic attention deficits both hinder and shape the development of epistemic agency. We finish by exploring some practical implications arising from our discussion.
Genetic diversity and population structure of groundnut (Arachis hypogaea L.) accessions using phenotypic traits and SSR markers: implications for rust resistance breeding
Authors: Daudi Happy , Shimelis Hussein , Mathew Isack , Oteng‐Frimpong Richard , Ojiewo Chris , Varshney Rajeev K. 
Published: September 2020

AbstractGroundnut (Arachis hypogaeaL.) is a multi-purpose legume serving millions of farmers and their value chain actors globally. Use of old poor-performing cultivars contributes to low yields (< 1 t/ha) of groundnut in sub-Saharan Africa including Tanzania. The objectives of this study were to determine the extent of genetic variation among diverse groundnut collections using phenotypic traits and simple sequence repeat (SSR) markers to select distinct and complementary genotypes for breeding. One hundred and nineteen genotypes were evaluated under field conditions for agronomic traits and susceptibility to rust and leaf spot diseases. The study was conducted in two locations across two seasons. In addition, the 119 accessions were profiled with 13 selected SSR markers. Genotype and genotype by environment interaction effects were significant (p < 0.05) for days to flowering (DTF), late leaf spot score at 85 and 100 days after planting, pod yield (PDY), kernel yield (KY), hundred seed weight (HSW) and shelling percentage (SP). Principal components analysis revealed that plant stand, KY, SP, NPP (number of pods per plant), late leaf spot and rust disease scores accounted for the largest proportion of the total variation (71.9%) among the tested genotypes. Genotypes ICGV-SM 08587 and ICGV-SM 16579 had the most stable yields across the test environments. Moderate genetic variation was recorded with mean polymorphic information content of 0.34 and gene diversity of 0.63 using the SSR markers. The majority (74%) of genotypes showed high membership coefficients to their respective sub-populations, while 26% were admixtures after structure analysis. Much of the variation (69%) was found within populations due to genotypic differences. The present study identified genotypes ICGV-SM 06737, ICGV-SM 16575, ICG 12725 and ICGV-SM 16608 to be used for development of mapping population, which will be useful for groundnut improvement. This study provided a baseline information on characterization and selection of a large sample of groundnut genotypes in Tanzania for effective breeding and systematic conservation.
miR-30c-5p Alleviated Pyroptosis During Sepsis-Induced Acute Kidney Injury via Targeting TXNIP
Authors: Li Xiang , Yao Linya , Zeng Xueming , Hu Bing , Zhang Xi , Wang Jun , Zhu Runyu , Yu Qiwei 
Published: September 2020

AbstractSepsis-induced acute kidney injury (SAKI) is a common complication of hospitalized patients, often leading to unacceptable mortality. Limited effective treatment or diagnosis biomarkers are available and the underlying mechanism remains unclear. The miR-30c-5p is considered as a critical mediator of kidney diseases and aberrantly decreased in patients with SAKI, while the mechanism is still unclear. For this purpose, the role of miR-30c-5p in SAKI has been investigated in this study. Here, we first confirmed that miR-30c-5p expression decreased in our septic models and was associated with the activation of NLRP3/caspase-1-mediated pyroptosis. Overexpression of miR-30c-5p alleviated the kidney injury via suppressing HK-2 cell pyroptosis. Furthermore, we identified that TXNIP was a direct target of miR-30c-5p. Upregulation of miR-30c-5p repressed the expression of TXNIP, which inhibited NLRP3, ASC, and caspase-1 expression, as well as secretion of inflammatory cytokines. In conclusion, our data suggested that miR-30c-5p negatively controlled the NLRP3 signal pathway-related pyroptosis and sepsis-induced injury via TXNIP, indicating that this axis might be a positive therapeutic target for the patient with SAKI.
Carbon nanofibers addition on transport and superconducting properties of bulk YBa2Cu3O7−δ material prepared via co-precipitation
Authors: Khalid Nurul Auni , Awang Kechik Mohd Mustafa , Baharuddin Nur Atikah , Kien Chen Soo , Baqiah Hussein , Pah Lim Kean , Shaari Abdul Halim , Talib Zainal Abidin , Hashim Azhan , Murakami Masato , Miryala Muralidhar 
Published: September 2020

AbstractThe effects of carbon nanofibers addition on transport and superconducting properties of YBa2Cu3O7−δ (Y-123) superconductor were studied. Y-123 was prepared using co-precipitation method for good quality bulk of high temperature superconducting material. Carbon nanofibers with 0.2–0.8 wt% were added into Y-123 superconductors. The samples were characterized using electrical resistance measurement for critical temperature (Tc) and critical current density (Jc), powder X-ray diffraction, scanning electron microscopy and energy-dispersive X-ray analysis. Most of the samples indicated a dominant Y-123 phase of an orthorhombic structure with a minor phase of BaCO3 and Y-124. Onset critical temperature was found to decrease from 90.5 to 80 K with increasing of carbon nanofibers concentration. The Jc for pure sample is 11 A/cm2 at 30 K while the Jc of sample with 0.4 wt% carbon nanofibers is 830 A/cm2 at 30 K. Introduction of carbon nanofibers enhanced Jc significantly. However, further addition of carbon nanofibers in Y-123 superconductor caused degradation in Jc.
On the Extension of the DIRECT Algorithm to Multiple Objectives
Authors: Lovison Alberto , Miettinen Kaisa 
Published: September 2020

AbstractDeterministic global optimization algorithms like Piyavskii–Shubert, direct, ego and many more, have a recognized standing, for problems with many local optima. Although many single objective optimization algorithms have been extended to multiple objectives, completely deterministic algorithms for nonlinear problems with guarantees of convergence to global Pareto optimality are still missing. For instance, deterministic algorithms usually make use of some form of scalarization, which may lead to incomplete representations of the Pareto optimal set. Thus, all global Pareto optima may not be obtained, especially in nonconvex cases. On the other hand, algorithms attempting to produce representations of the globally Pareto optimal set are usually based on heuristics. We analyze the concept of global convergence for multiobjective optimization algorithms and propose a convergence criterion based on the Hausdorff distance in the decision space. Under this light, we consider the well-known global optimization algorithm direct, analyze the available algorithms in the literature that extend direct to multiple objectives and discuss possible alternatives. In particular, we propose a novel definition for the notion of potential Pareto optimality extending the notion of potential optimality defined in direct. We also discuss its advantages and disadvantages when compared with algorithms existing in the literature.
Procedural Learning in Individuals with Amnestic Mild Cognitive Impairment and Alzheimer’s Dementia: a Systematic Review and Meta-analysis
Authors: De Wit Liselotte , Marsiske Michael , O’Shea Deirdre , Kessels Roy P.C. , Kurasz Andrea M. , DeFeis Brittany , Schaefer Nancy , Smith Glenn E. 
Published: September 2020

AbstractThe notion that procedural learning and memory is spared in Alzheimer’s disease (AD) has important implications for interventions aiming to build on intact cognitive functions. However, despite these clinical implications, there are mixed findings in the literature about whether or not procedural learning remains intact. This meta-analysis examines the standard mean difference of all published studies regarding procedural learning in AD dementia or amnestic Mild Cognitive Impairment (aMCI) compared to cognitively healthy older adults. Additionally, we conducted statistical equivalence analyses. Our systematic review showed that only a limited number of studies (k = 17) have compared procedural learning between individuals with aMCI or AD dementia and healthy controls. Our meta-analysis, which synthesized these studies, demonstrated that while procedural learning performance was not statistically equivalent between individuals with aMCI or AD dementia, and healthy older adults, the difference was clinically and statistically trivial. Although larger studies are needed, the present findings suggest that procedural learning does appear to remain spared in aMCI and AD dementia.
A twofold tale of one mind: revisiting REC’s multi-storey story
Authors: Myin Erik , van den Herik Jasper C. 
Published: September 2020

AbstractThe Radical Enactive/Embodied view of Cognition, or REC, claims that all cognition is a matter of skilled performance. Yet REC also makes a distinction between basic and content-involving cognition, arguing that the development of basic to content-involving cognition involves a kink. It might seem that this distinction leads to problematic gaps in REC’s story. We address two such alleged gaps in this paper. First, we identify and reply to the concern that REC leads to an “interface problem”, according to which REC has to account for the interaction of two minds co-present in the same cognitive activity. We emphasise how REC’s view of content-involving cognition in terms of activities that require particular sociocultural practices can resolve these interface concerns. The second potential problematic gap is that REC creates an unjustified difference in kind between animal and human cognition. In response, we clarify and further explicate REC’s notion of content, and argue that this notion allows REC to justifiably mark the distinction between basic and content-involving cognition as a difference in kind. We conclude by pointing out in what sense basic and content-involving cognitive activities are the same, yet different. They are the same because they are all forms of skilled performance, yet different as some forms of skilled performance are genuinely different from other forms.
Estimation of Total Dissolved Solids in Water Bodies by Spectral Indices Case Study: Shatt al-Arab River
Authors: Maliki Ali A. A. , Chabuk Ali , Sultan Maitham A. , Hashim Bassim M. , Hussain Hussain M. , Al-Ansari Nadhir 
Published: September 2020

AbstractIn recent years, the problem of rising salinity levels in the Shatt al-Arab river in southern Iraq has been repeated, which has directly affected the living and health situation and the agricultural activity of these areas. Six sampling stations were selected along Shatt al-Arab to estimate the concentration of total dissolved solids (TDS) in the river; these stations included the following: Qurna, Labani, City Centre, Kateban, Corniche, and Sihan. In addition, three Landsat-8 satellite images which were taken at the same time as collected samples also used for detecting the salinity in the river. After processing of atmospheric correction and inserted remote sensing indices, the reflectance of water extracted from satellite images was used to express the spectral characteristics of different TDS concentrations. Correlation and regression were used to obtain accurate models for detecting the salinity depending on the spectral reflectance of Landsat 8 operational land image OLI. The results presented Pearson correlation (r) value of 0.70, 0.97, and 0.71, and correlation coefficient (R2) of 0.56, 0.94, and 0.85 between field data with spectral data of salinity index 2 (SI-2) derived from the green and blue bands of Landsat obtained in 2015, 2017, and 2018 respectively. In conclusion, remote sensing and GIS technologies coupled with spectral modeling are useful tools for providing a solution of future water resources planning and management, and also offer great undertaking as a means to improve knowledge of water quality and support water decision making.
A self-organizing base station sleeping and user association strategy for dense cellular networks
Authors: Post Bart , Borst Sem , van den Berg Hans 
Published: September 2020

AbstractDue to the rising concerns of energy consumption in wireless networks, base station (BS) sleeping strategies were introduced to save energy in low traffic scenarios. In this paper we analyse a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks. We present an optimization problem representing this trade-off and derive properties of its optimal solutions. Using these properties we design a self-organizing strategy that dynamically (online) makes load-aware user association and BS operation decisions. Our strategy is self-organizing in the sense that it does not need any information or optimization beforehand, it simply relies on real-time load measurements at the BSs and user-reported SINR values. We furthermore present extensive simulation results, demonstrating the effectiveness of our self-organizing strategy and the impact of increased energy consumption on the user-perceived performance.