bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mexican Psychiatric Trainees’ Attitudes Towards People with Mental Illness: A Qualitative Study
Authors: Lagunes-Cordoba Emmeline , Lagunes-Cordoba Roberto , Fresan-Orellana Ana , Gonzalez-Olvera Jorge , Jarrett Manuela , Thornicroft Graham , Henderson Claire 
Published: October 2021

AbstractDespite their training, psychiatrists have been found to have negative attitudes towards people with mental illness, including the patients they treat. Similarly, studies focused on service users have identified psychiatrists as a source of stigma. Even though negative attitudes in psychiatrists have been identified in different countries and settings, in Mexico the attitudes of these professionals have never been assessed. Because of this, we invited psychiatric trainees from a hospital in Mexico to participate in individual interviews to describe their opinions regarding mental health-related stigma, to evaluate their attitudes towards people with mental illness and to identify factors that could be influencing their attitudes. Interviews were audio recorded, transcribed and analysed using thematic analysis. A total of 29 trainees participated in the study. The results suggested that trainees recognised psychiatrists can have negative attitudes towards people with mental illness, such as poor empathy, judgement and labelling, and mainly towards patients considered difficult and with borderline personality disorder. Participants recognised these attitudes can influence their relationship with patients, and considered it is necessary to develop interventions to improve their own attitudes and reduce mental health stigma. From this study we concluded Mexican psychiatrists are not free from stigma towards people with mental illness. However, Mexican psychiatric trainees are interested in improving their attitudes and reactions towards their patients.
Exact solutions for the formation of stagnant caps of insoluble surfactant on a planar free surface
Authors: Crowdy Darren G. 
Published: October 2021

AbstractA class of exact solutions is presented describing the time evolution of insoluble surfactant to a stagnant cap equilibrium on the surface of deep water in the Stokes flow regime at zero capillary number and infinite surface Péclet number. This is done by demonstrating, in a two-dimensional model setting, the relevance of the forced complex Burgers equation to this problem when a linear equation of state relates the surface tension to the surfactant concentration. A complex-variable version of the method of characteristics can then be deployed to find an implicit representation of the general solution. A special class of initial conditions is considered for which the associated solutions can be given explicitly. The new exact solutions, which include both spreading and compactifying scenarios, provide analytical insight into the unsteady formation of stagnant caps of insoluble surfactant. It is also shown that first-order reaction kinetics modelling sublimation or evaporation of the insoluble surfactant to the upper gas phase can be incorporated into the framework; this leads to a forced complex Burgers equation with linear damping. Generalized exact solutions to the latter equation at infinite surface Péclet number are also found and used to study how reaction effects destroy the surfactant cap equilibrium.
Resistance fracture of minimally prepared endocrowns made by three types of restorative materials: a 3D finite element analysis
Authors: Meng Qingzhen , Zhang Yuejiao , Chi Danlu , Gong Qimei , Tong Zhongchun 
Published: October 2021

AbstractA thin endocrown restoration was often applied in endodontically treated teeth with vertical bite height loss or inadequate clinical crown length. A model of mandibular molars made by endocrown restoration with 1 mm thickness and 2 mm depth of pulp chamber was constructed and imported into FEA ANSYS v18.0 software. The three CAD/CAM materials, feldspathic (Mark2), lithium disilicate (EMAX), and lava ultimate (LU), were assigned, and the five load indenters were loaded on the full occlusal (FO), occlusal center (OC), central fossa (CF), buccal groove (BG), and mesiobuccal cusp (MC) of restoration in the model. The MinPS and MaxPS of the thin endocrown were significantly higher than those of tooth tissue in five types of loads except for the LU endocrown loaded in the FO group. The smaller the contact surface of the load was, the higher MaxPS and MinPS were. MaxPS and MinPS of the MC were the highest, followed by the BG and CF in the restoration. In the stress distribution of tooth tissue, MaxPS in the LU endocrown accumulated at the external edge of enamel and was significantly higher than MaxPS in Mark2 and EMAX endocrown concentrated on the chamber wall of dentin under OC, CF and BG loads. Within the limitations of this FEA study, the LU endocrown transferred more stress to tooth tissue than Mark2 and EMAX, and the maximum principal stress on endocrown restoration and tooth tissue at the mesiobuccal cusp load was higher than that at the central fossa and buccal groove load.
Uniform decay rates of a coupled suspension bridges with temperature
Authors: Afilal Mounir , Alahyane Mohamed , Soufyane Abdelaziz 
Published: October 2021

AbstractIn this paper, we investigate the decay properties of the thermoelastic suspension bridges model. We prove that the energy is decaying exponentially. To our knowledge, our result is new and our method of proof is based on the energy method to build the appropriate Lyapunov functional.
Theory of preference modelling for communities in scale-free networks
Authors: Dombi József , Dhama Sakshi 
Published: November 2021

AbstractDetecting a community structure on networks is a problem of interest in science and many other domains. Communities are special structures which may consist nodes with some common features. The identification of overlapping communities can clarify not so apparent features about relationships among the nodes of a network. A node in a community can have a membership in a community with a different degree. Here, we introduce a fuzzy based approach for overlapping community detection. A special type of fuzzy operator is used to define the membership strength for the nodes of community. Fuzzy systems and logic is a branch of mathematics which introduces many-valued logic to compute the truth value. The computed truth can have a value between 0 and 1. The preference modelling approach introduces some parameters for designing communities of particular strength. The strength of a community tells us to what degree each member of community is part of a community. As for relevance and applicability of the community detection method on different types of data and in various situations, this approach generates a possibility for the user to be able to control the overlap regions created while detecting the communities. We extend the existing methods which use local function optimization for community detection. The LFM method uses a local fitness function for a community to identify the community structures. We present a community fitness function in pliant logic form and provide mathematical proofs of its properties, then we apply the preference implication of continuous-valued logic. The preference implication is based on two important parameters $$\nu$$
ν
and $$\alpha$$
α
. The parameter $$\nu$$
ν
of the preference-implication allows us to control the design of the communities according to our requirement of the strength of the community. The parameter $$\alpha$$
α
defines the sharpness of preference implication. A smaller value of the threshold for community membership creates bigger communities and more overlapping regions. A higher value of community membership threshold creates stronger communities with nodes having more participation in the community. The threshold is controlled by $$\delta$$
δ
which defines the degree of relationship of a node to a community. To balance the creation of overlap regions, stronger communities and reducing outliers we choose a third parameter $$\delta$$
δ
in such a way that it controls the community strength by varying the membership threshold as community evolves over time. We test the theoretical model by conducting experiments on artificial and real scale-free networks. We test the behaviour of all the parameters on different data-sets and report the outliers found. In our experiments, we found a good relationship between $$\nu$$
ν
and overlapping nodes in communities.
Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes
Authors: Neuhäuser Leonie , Stamm Felix I. , Lemmerich Florian , Schaub Michael T. , Strohmaier Markus 
Published: November 2021

AbstractNetwork analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational data is error-free, and reliable and accurately reflects the system to be analysed. Especially if the network consists of multiple groups (e.g., genders, races), this assumption conflicts with a range of systematic biases, measurement errors and other inaccuracies that are well documented in the literature. To investigate the effects of such errors we introduce a framework for simulating systematic bias in attributed networks. Our framework enables us to model erroneous edge observations that are driven by external node attributes or errors arising from the (hidden) network structure itself. We exemplify how systematic inaccuracies distort conclusions drawn from network analyses on the task of minority representations in degree-based rankings. By analysing synthetic and real networks with varying homophily levels and group sizes, we find that the effect of introducing systematic edge errors depends on both the type of edge error and the level of homophily in the system: in heterophilic networks, minority representations in rankings are very sensitive to the type of systematic edge error. In contrast, in homophilic networks we find that minorities are at a disadvantage regardless of the type of error present. We thus conclude that the implications of systematic bias in edge data depend on an interplay between network topology and type of systematic error. This emphasises the need for an error model framework as developed here, which provides a first step towards studying the effects of systematic edge-uncertainty for various network analysis tasks.
Relational cost analysis in a functional-imperative setting
Authors: QU WEIHAO , GABOARDI MARCO , GARG DEEPAK 
Published: November 2021

Abstract
Relational cost analysis aims at formally establishing bounds on the difference in the evaluation costs of two programs. As a particular case, one can also use relational cost analysis to establish bounds on the difference in the evaluation cost of the same program on two different inputs. One way to perform relational cost analysis is to use a relational type-and-effect system that supports reasoning about relations between two executions of two programs. Building on this basic idea, we present a type-and-effect system, called ARel, for reasoning about the relative cost (the difference in the evaluation cost) of array-manipulating, higher order functional-imperative programs. The key ingredient of our approach is a new lightweight type refinement discipline that we use to track relations (differences) between two mutable arrays. This discipline combined with Hoare-style triples built into the types allows us to express and establish precise relative costs of several interesting programs that imperatively update their data. We have implemented ARel using ideas from bidirectional type checking.
The Election of 1916, “Negrowumpism,” and the Black Defection from the Republican Party
Authors: Oks David 
Published: November 2021

AbstractThis essay examines the debate within the community of Black intellectuals and politicians about whether or not to abandon the Republican Party in 1916, and discusses both major parties’ attempts to cultivate Black voters. The objective of this article is to analyze 1916 through the lens of the rise of Black political independence and to elucidate the strains of thought that pushed an increasing number of Black thinkers—and, later, everyday Black voters—to operate outside of the political framework of the Republican Party. Though the momentous shift in the Black vote had not yet fully materialized, 1916 saw a pivotal and significant crystallization of discontent with the GOP that pushed Black voters to search for alternatives, including the radical option of a “Negro Party.” Ultimately, this new sense of political opportunity helped create the atmosphere that allowed Black voters to shift to the Democratic Party from 1928 to 1936.
A Plate‐Mantle Convection System in the West Pacific Revealed by Tertiary Ultramafic‐Mafic Volcanic Rocks in Southeast China
Authors: Pan Fa‐Bin , Jin Chong , He Xiaobo , Tao Lu , Jia Bao‐Jian 
Published: October 2021

AbstractCenozoic volcanic rocks in the East Asian continental margin usually form because of asthenosphere upwelling and resultant decompression melting, and their origins are important in deciphering mantle geodynamics attributed to intraplate volcanism. In this study, Oligocene basanite‐tephrite rocks were found in continental interior outcrops, and Miocene to Pliocene basanite, alkaline basalt, and olivine tholeiite were abundant in coastal areas in Zhejiang, Southeast China. Episodic magmatic activities appeared to migrate oceanward with an ∼100‐km spatial gap, which was temporally and spatially synchronized with repeated retreat and rollback of the Tertiary westward subducting Pacific slab. All rocks had OIB‐like trace‐element patterns, but the basanite‐tephrite rocks contained higher LILE, HFSE, and LREE than the alkaline basalt and olivine tholeiite. Geochemical modeling indicated the basanite‐tephrite and the alkaline and olivine tholeiite basalts had low‐degree (7%–15%) and slightly higher degree (20%–30%) partial melting of heterogeneous pyroxenite sources, respectively. In addition, their magma sources showed a progressive weakening of carbonatite metasomatism and decreasing melting depths. Those features were tightly associated with punctuated upwelling of asthenospheric materials, most likely metasomatized by the stagnant Pacific slab‐derived silica/carbonatite melts. A plate‐mantle convection system is proposed in which asthenosphere materials pulled by the subducting Pacific slab explain the intraplate volcanism in East Asia as asthenospheric upwelling, which formed by escaping from either slab tears or slab front edges in the mantle transition zone.
Deep Learning 3D Sparse Inversion of Gravity Data
Authors: Huang Rui , Liu Shuang , Qi Rui , Zhang Yujie 
Published: October 2021

AbstractGravity prospecting is an important geophysical method for mineral resource exploration and investigating crustal structures. Based on the importance of this method, we propose a novel method that takes advantage of rock data, using a supervised deep fully convolutional neural network, that generates a sparse subsurface distribution from gravity data. During the data preparation phase, we used the random walk to synthesize diverse geological models, in which each model element has only two choices. During network training, we feed the geological model as labels and their corresponding forward modeling of gravity data as the input, after which the network parameters are learned using the Dice coefficient. During network testing, six general types of 3D models were developed, and corresponding gravity data was entered into a trained network to achieve the prediction results in less time. The statistical analysis of two evaluation metrics showed that our network was highly effective using our proposed data set, wherein the recovered models were characterized by distinct boundaries. Furthermore, our approach was validated using real data obtained from the San Nicolas deposit in central Mexico.
Effect of El Niño‐Related Warming on Phytoplankton's Vertical Distribution in the Arabian Sea
Authors: Hu Qiwei , Chen Xiaoyan , He Xianqiang , Bai Yan , Gong Fang , Zhu Qiankun , Pan Delu 
Published: November 2021

AbstractIn this study, we analyzed the effect of warming in ecological responses due to seasonal cycle and 2015/2016 El Niño event on the vertical distribution of phytoplankton within the entire euphotic zone (0–100 m) in the eastern Arabian Sea using BGC‐Argo data during 2015–2019. We found that phytoplankton in different layers had different responses to warming. Phytoplankton biomass (defined as the integrated chlorophyll a concentration in this paper) decreased in 0–50 m layer while it increased in 50–100 m layer during spring (March‐June) and 2015/2016 El Niño event. At the same time, the vertical expansion of warming (temperature >28 °C), together with nitrate and silicate co‐limitation, triggered the formation of subsurface chlorophyll maximum layer, which became thinner and deeper during these warming periods. Results from the generalized additive models showed that the monthly 28 °C isotherm can be used as a first approximation to separate vertical water column where warming had opposite signed effects. For a 0–50 m layer of poor nutrients due to the mixed layer shoaling and reduced atmospheric deposition, a negative effect of warming on phytoplankton was seen if the temperature was higher than 28 °C. But, for a 50–100 m layer of rich nutrients, a positive effect of warming on phytoplankton was seen if the temperature was within the range of 25.5–28.0 °C and the light was enhanced. These results shed light on the effect of global warming on subsurface phytoplankton and may help research of the same topic regarding future warming.
ExoMars TGO/NOMAD‐UVIS Vertical Profiles of Ozone: 1. Seasonal Variation and Comparison to Water
Authors: Patel M. R. , Sellers G. , Mason J. P. , Holmes J. A. , Brown M. A. J. , Lewis S. R. , Rajendran K. , Streeter P. M. , Marriner C. , Hathi B. G. , Slade D. J. , Leese M. R. , Wolff M. J. , Khayat A. S. J. , Smith M. D. , Aoki S. , Piccialli A. , Vandaele A. C. , Robert S. , Daerden F. , Thomas I. R. , Ristic B. , Willame Y. , Depiesse C. , Bellucci G. , Lopez‐Moreno J.‐J. 
Published: November 2021

AbstractWe present ∼1.5 Mars Years (MY) of ozone vertical profiles, covering LS = 163° in MY34 to LS = 320° in MY35, a period which includes the 2018 global dust storm. Since April 2018, the Ultraviolet and Visible Spectrometer channel of the Nadir and Occultation for Mars Discovery (NOMAD) instrument aboard the ExoMars Trace Gas Orbiter has observed the vertical, latitudinal and seasonal distributions of ozone. Around perihelion, the relative abundance of both ozone and water (from coincident NOMAD measurements) increases with decreasing altitude below ∼40 km. Around aphelion, localized decreases in ozone abundance exist between 25 and 35 km coincident with the location of modeled peak water abundances. High‐latitude (>±55°), high altitude (40–55 km) equinoctial ozone enhancements are observed in both hemispheres (LS ∼350°–40°) and discussed in the companion article to this work (Khayat et al., 2021). The descending branch of the main Hadley cell shapes the observed ozone distribution at LS = 40°–60°, with the possible signature of a northern hemisphere thermally indirect cell identifiable from LS = 40°–80°. Morning terminator observations show elevated ozone abundances with respect to evening observations, with average ozone abundances between 20 and 40 km an order of magnitude higher at sunrise compared to sunset, attributed to diurnal photochemical partitioning along the line of sight between ozone and O or fluctuations in water abundance. The ozone retrievals presented here provide the most complete global description of Mars ozone vertical distributions to date as a function of season and latitude.
Caffeine is a respiratory stimulant without effect on sleep in the short-term in late-preterm infants
Authors: Seppä-Moilanen Maija , Andersson Sture , Kirjavainen Turkka 
Published: October 2021

Abstract
Background
Caffeine is widely used in preterm infants for apnea control. It has no effect on sleep in the only existing polysomnographic study including ten preterm infants Behavioral and polygraphic studies have conflicting results.

Methods
We studied 21 late-preterm infants at a median gestational age of 36 weeks. Polysomnography was performed twice, at baseline on day 1 and on the day after the onset of caffeine treatment (20 mg/kg loading and 5 mg/kg morning maintenance dose).

Results
Caffeine acted short term as a breathing stimulant with reduction of apneas, improved baseline SpO2 (p < 0.001), and decreased 95 percentile of end-tidal carbon dioxide level (p < 0.01). It also increased arousal frequency to SpO2 desaturations of more than 5% (p < 0.001). Caffeine did not affect sleep stage distribution, sleep efficiency, frequency of sleep stage transitions, appearance of REM periods, or the high number of spontaneous arousals. The median spontaneous arousal count was 18 per hour at baseline, and 16 per hour during caffeine treatment (p = 0.88).

Conclusions
In late-preterm infants, caffeine has a clear short-term respiratory stimulant effect, and it increases the arousal frequency to hypoxia. However, caffeine does not appear to act as a central nervous system stimulant, and it has no acute effect on sleep quality.

Impact

Effects of caffeine on sleep in preterm infants has previously been investigated with only one full polysomnographic study including ten preterm infants. The study showed no effect.

The current study shows that caffeine acts short term as a respiratory stimulant and increases arousal frequency to hypoxia.

Although a potent central nervous system (CNS) stimulant in adults, caffeine does not seem to have similar acute CNS effect in late-preterm infants.

The onset of caffeine treatment has no short-term effect on sleep stage distribution, sleep efficiency, frequency of sleep stage transitions, appearance of REM periods, or the high number of spontaneous arousals.
Cognitive behavioral markers of neurodevelopmental trajectories in rodents
Authors: Choy K. H. Christopher , Luo Jiaqi K. , Wannan Cassandra M. J. , Laskaris Liliana , Merritt Antonia , Syeda Warda T. , Sexton Patrick M. , Christopoulos Arthur , Pantelis Christos , Nithianantharajah Jess 
Published: October 2021

AbstractBetween adolescence and adulthood, the brain critically undergoes maturation and refinement of synaptic and neural circuits that shape cognitive processing. Adolescence also represents a vulnerable period for the onset of symptoms in neurodevelopmental psychiatric disorders. Despite the wide use of rodent models to unravel neurobiological mechanisms underlying neurodevelopmental disorders, there is a surprising paucity of rigorous studies focusing on normal cognitive-developmental trajectories in such models. Here, we sought to behaviorally capture maturational changes in cognitive trajectories during adolescence and into adulthood in male and female mice using distinct behavioral paradigms. C57 BL/6J mice (4.5, 6, and 12 weeks of age) were assessed on three behavioral paradigms: drug-induced locomotor hyperactivity, prepulse inhibition, and a novel validated version of a visuospatial paired-associate learning touchscreen task. We show that the normal maturational trajectories of behavioral performance on these paradigms are dissociable. Responses in drug-induced locomotor hyperactivity and prepulse inhibition both displayed a ‘U-shaped’ developmental trajectory; lower during mid-adolescence relative to early adolescence and adulthood. In contrast, visuospatial learning and memory, memory retention, and response times indicative of motivational processing progressively improved with age. Our study offers a framework to investigate how insults at different developmental stages might perturb normal trajectories in cognitive development. We provide a brain maturational approach to understand resilience factors of brain plasticity in the face of adversity and to examine pharmacological and non-pharmacological interventions directed at ameliorating or rescuing perturbed trajectories in neurodevelopmental and neuropsychiatric disorders.