bluuebunny/crossref_metadata_2025_split huggingface dataset:
Do patients with mental health and substance use conditions experience discrimination and diagnostic overshadowing in primary care in Aotearoa New Zealand? Results from a national online survey
Authors: Cunningham Ruth , Imlach Fiona , Lockett Helen , Lacey Cameron , Haitana Tracy , Every-Palmer Susanna , Clark Mau Te Rangimarie , Peterson Debbie 
Published: May 2023

Introduction Quality of health care contributes to poor physical health outcomes for people with mental health and substance use conditions (MHSUC). AIM This study investigated experiences of people with MHSUC who sought help for a physical health condition in primary healthcare services, examining quality of care attributes. Methods An online survey of adults currently or recently accessing services for MHSUC was fielded in 2022. Respondents were recruited nationally through mental health, addiction and lived experience networks and social media. The attributes of service quality assessed were relationships (respect and being listened to), discrimination due to MHSUC, and diagnostic overshadowing (MHSUC diagnosis distracted from physical health care). Results Respondents who had used primary care services were included (n = 335). The majority of respondents reported both being treated with respect (81%) and being listened to (79%) always or most of the time. A minority of respondents reported diagnostic overshadowing (20%) or discrimination due to MHSUC (10%). People with four or more diagnoses or a diagnosis of bipolar disorder or schizophrenia had significantly worse experiences across all quality measures. Those with a diagnosis of substance use disorders had worse experiences for diagnostic overshadowing. Māori had worse experiences for respect and diagnostic overshadowing. Conclusions Although many respondents reported good experiences in primary care, this was not the case for everyone. Quality of care was affected by type and number of diagnoses and the person’s ethnicity. Interventions to reduce stigma and diagnostic overshadowing for people with MHSUC are needed in primary care services in New Zealand.
Potentiation and depression behaviour in a two-terminal memristor based on nanostructured bilayer ZrO
x
/Au films
Authors: Profumo Filippo , Borghi Francesca , Falqui Andrea , Milani Paolo 
Published: May 2023

Abstract
The emulation of synaptic functions such as potentiation and depression is of strategic importance for the development of artificial neuromorphic architectures. Memristors can qualitatively reproduce the short-term plasticity behaviour of biological synapses by exploiting the gradual relaxation of resistance levels upon the removal of the switching signals. Various types of memristors based on nanofabricated metal-oxide-semiconductor stacks have been proposed for this purpose. Here we present a different fabrication approach based on cluster-assembled nanostructured zirconia and gold films (ns-Au/ZrO
x
) deposited in a bilayer planar configuration. This device shows memristive behaviour with short-term memory and potentiation/depression. The observed relaxation can be described by a stretched-exponential function. Furthermore, the characteristic time of the short-term phenomena dynamically changes under repeated pulses application. Our nanostructured device is characterised by a substantially larger conductive path length with respect to other nanoscale memristive devices; the use of a zirconia nanostructured film makes the device compatible with neuronal cell culture.
A consider unscented particle filter with genetic algorithm for UAV multi-source integrated navigation
Authors: Lou Tai-shan , Chen Nanhua , Jiao Yuzhao , Zhao Hongmei , Zhao Liangyu 
Published: May 2023

Abstract
The unscented particle filter (UPF) combines the advantages of both the unscented Kalman filter and particle filter (PF) algorithms. However, during the fusion of multi-source information for UAV integrated navigation, the UPF may encounter problems related to measurement biases and particle depletion. These issues can lead to algorithm results that are unsatisfactory or divergent. To address these challenges, a novel approach called the consider unscented particle filter with genetic algorithm (GA-CUPF) is proposed. The GA-CUPF algorithm incorporates covariance and co-covariance of biases into the state estimation covariance through the ‘consider’ method employed by the CUPF, and it should be noted that the biases are not estimated in this process. Moreover, the GA-CUPF algorithm enhances the importance probability density of particles to avoid the degeneracy of PF algorithm and improves particle diversity through the application of selection, crossover, and mutation methods in GA. Simulation results demonstrate that the proposed GA-CUPF algorithm can effectively mitigate the adverse effects of measurement biases and particle depletion that the UPF algorithm faces in the UAV navigation system. Additionally, it significantly improves the accuracy of UAV integrated navigation.
Structural and magnetic properties of BaFe9.95Al2Mg0.05O19tuned through sintering temperature
Authors: Asif Sana Ullah , Ranjha Qasim Ali , Ghori Ubaid-ur-Rehman , Alshammari Basmah H , Ahmed Fahim , Nawaz Usman , Ibrahim Fatma A , Hamdy Mohamed S 
Published: May 2023

AbstractThe sintering temperature is a key way to tune the structural and magnetic properties of M-type hexaferrites. Here the effect of BaFe9.95Al2Mg0.05O19M-type hexagonal Ba-hexaferrites, was studied. X-ray diffraction analysis revealed the presence of Fe2O3impurity phases in all samples. The results showed that as the sintering temperature increased, the saturation magnetization (Ms) and remanence ratio (Mr/Ms) initially increased, then decreased at higher temperatures. On the other hand, the coercivity (Hc) and magnetocrystalline anisotropy field (Ha) decreased first, then increased. The average grain size (D) consistently grew between 800–2800 nm with increase in pre-sintering temperature. The optimal magnetic properties of BaFe9.95Al2Mg0.05O19were achieved at a pre-sintering temperature of 1280 °C, with Ms = 49.94 emu g−1, Hc = 4.99 kOe, Ha = 1.5 kOe, and mB = 9.4097μB. The findings suggest that magnetic properties of M-type hexagonal strontium ferrite can be significantly enhanced by optimizing the pre-sintering temperature, which has implications for the development of high-performance self-biased circulators, Magnetic filters and other magnetic applications.
Spin-orbit coupling and electronic properties in Pt2MnGa: an ab-initio study
Authors: Kakati Bhargab , Saha Payal , Sahariah Munima B 
Published: May 2023

Abstract
The electronic and magnetic properties of full-Heusler alloy Pt2MnGa with and without the effect of spin–orbit coupling are studied. The calculations have been carried out using ab initio density functional theory. Both the magnetic spin orders of Pt2MnGa, ferromagnetic and antiferromagnetic, are considered. It is found that the ferromagnetic spin arrangement is the most stable spin order at the ground state, regardless of the incorporation of spin–orbit coupling. The density of states and band structure plots are used to validate the obtained ground state structure, which is further validated by the Bader charge analysis and the charge density distribution of the individual atoms. The obtained results of magnetocrystalline anisotropy energy, total magnetic moment, Curie temperature, and the spin-polarization hint at the possible application of this compound in spintronics devices such as bit-patterned media.
Entropy generation in viscous flow due to generalized exponential wall velocity and temperature
Authors: Hussain M , Mehmood A , Usman M 
Published: May 2023

Abstract
The study of entropy generation in convective transport processes is of current interest. For the better understanding of this phenomenon it is preferred to investigate it for those flows which admit an exact solution. This is the reason that majority of the published literature, concerning entropy generation analysis, has been done for the self-similar flows. Particular to the stretching sheet flows, which do also have important applications in industry, entropy production analysis is of particular importance. In this regard a two dimensional boundary layer flow due to an exponentially stretching wall (following generalized exponential form) has been considered in this study for the analysis of entropy generation. The stretching wall velocity and the wall temperature function have so properly been chosen that an similarity solution is possible. The modeled, equations are converted to ordinary differential equations by employing appropriate similarity transformations. These equations are solved numerically by using bvp-4c implemented in Matlab. To implement this method, differential equations are converted to set of first order equations and are solved. The problem has been analyzed for the heat transfer phenomenon and the entropy generation. The dimensionless form of entropy generation number requires m ≡ n for a similarity solution to exist. The enhancement is observed in the Nusselt number by enhancing the values of m, n, and Pr. Eventually, the entropy generation at the wall is maximum for increasing values of

m
,

n
,

and

P
r
.

However, for such a large values of of

m
,

n
,

and

P
r

the entropy profile reduces rapidly in the boundary layer thus avoiding a farther speed of entropy in the boundary layer. It is also noticed that to minimize the entropy generation across the boundary layer and also to get an enhanced rate of heat transfer some higher values of

m
,

n
,

and

P
r

must be chosen.
Describing metric-affine theories anew: alternative frameworks, examples and solutions
Authors: Iosifidis Damianos , Pallikaris Konstantinos 
Published: May 2023

Abstract
In this work we describe metric-affine theories anew by making a change of field variables. A series of equivalent frameworks is presented and identifications are worked out in detail. The advantage of applying the new frameworks is that any MAG theory can be handled as a Riemannian theory with additional fields. We study the Hilbert-Palatini action using the new field variables and disclose interesting symmetries under SO transformations in field space. Then, we use solvable and suitable Riemannian theories as seed models for solvable MAG theories, restricting ourselves to three examples. We present a black hole solution with torsion and non-metricity which under a certain tuning acquires a regular core. A de Sitter universe with the expansion powered by 3-form torsion, is also reported.
IP Lyn: A Totally Eclipsing Contact Binary with an Extremely Low Mass Ratio
Authors: Yin Zi-Xuan , Meng Zi-Bin , Wu Pei-Ru , Zhang Xu-Dong , Yu Yun-Xia , Hu Ke , Xiang Fu-Yuan 
Published: May 2023

Abstract
We present the first photometric and orbital period investigations for a neglected totally eclipsing contact binary IP Lyn. The photometric solutions derived from both ground-based and several surveys’ observations suggest that it is a shallow contact binary with an extremely low mass ratio of 0.055. The weak asymmetry observed in our multiple band light curves can be interpreted as a result of an active cool spot on the primary. The absolute physical parameters were determined with the Gaia-distance-based method and checked by an empirical relation. Combining the eclipse timings collected from the literature and those derived from our and variable surveys’ observations, we find that IP Lyn has been undergoing a secular orbital period increase for the past two decades, implying a mass transfer from the less massive secondary to the primary. By comparing the current parameters with the critical instability ones, we infer that IP Lyn is currently stable in spite of its relatively low mass ratio and orbital angular momentum. Finally, from a catalog of 117 extremely low mass ratio contact binaries, we find that their orbital angular momenta are significantly lower than those of the contact binaries with a relatively high mass ratio, suggesting they should be at the late evolutionary stage of a contact binary.
New beta primary standard (BPS2) and revised ISO 6980 at PTB
Authors: Behrens R 
Published: May 2023

Abstract
In this work, firstly, the main characteristics of PTB’s new beta primary standard (BPS2) are presented in comparison to its previous one (BPS1), i.e. to the Böhm chamber. Secondly, the main changes of the revised ISO standard series on beta reference radiation fields, ISO 6980, are described. Finally, the application of the revised ISO 6980 to both PTB’s new and old beta primary standard is implemented. It turns out that both devices, BPS2 and BPS1, agree on average to about ± 1 % with each other, i.e. well within their one sigma statistical uncertainties of approximately 3 % for 147Pm and 1.5 % to 1.8 % for 85Kr, 90Sr/90Y and 106Ru/106Rh radiation qualities. Therefore, as of mid-2023, PTB moved from the 2004–2006 version of ISO 6980 to the revised version from 2022 and from the old beta primary standard, BPS1 (i.e. the Böhm chamber) to the new one, BPS2.
Performance of the new RD51 VMM3a/SRS beam telescope — studying MPGDs simultaneously in energy, space and time at high rates
Authors: Scharenberg L. , Bortfeldt J. , Brunbauer F. , Desch K. , Flöthner K. , Garcia F. , Janssens D. , Lisowska M. , Muller H. , Oliveri E. , Orlandini G. , Pfeiffer D. , Ropelewski L. , Samarati J. , Sorvisto D. , van Stenis M. , Veenhof R. 
Published: May 2023

Abstract
The RD51 collaboration maintains a common infrastructure at CERN for its R & D
activities, including two beam telescopes for test beam campaigns. Recently, one of the beam
telescopes has been equipped and commissioned with new multi-channel and charge-sensitive
front-end electronics based on the ATLAS/BNL VMM3a front-end ASIC and the RD51 Scalable Readout
System (SRS). This allows to read out the detectors at high rates (up to the MHz regime) with
electronics time resolutions of the order of 1 ns and the ability to handle different detector
types and sizes, due to a larger dynamic range compared to the previous front-end electronics
based on the APV25 ASIC. Having studied and improved the beam telescope's performance over the
course of three test beam campaigns, the results are presented in this paper.
Nature-inspired in-flight foldable rotorcraft
Authors: Bhardwaj Hitesh , Cai Xinyu , Win Luke Soe Thura , Foong Shaohui 
Published: May 2023

Abstract
The paper presents a novel rotary wing platform, that is capable of folding and expanding its wings during flight. Our source of inspiration came from birds’ ability to fold their wings to navigate through small spaces and dive. The design of the rotorcraft is based on the monocopter platform, which is inspired by the flight of Samara seeds. The wings are constructed by applying origami techniques to fold them in flight. Two configurations are presented, featuring active or passive mechanisms for wing-folding depending on specific application requirements. The two configurations can reduce their overall footprint by approximately 39% and 69% while in flight. A cyclic controller is implemented for controlling the translational motion, where the direction is controlled by pulsing the motors at a specific instance during each cycle of rotation. We have presented experimental results to prove the control of our platform in different modes while in flight. The presented platforms enhance the practical uses of the monocopter platform by providing it with the ability to reduce its footprint while in flight actively, or by allowing them to dive through the air without any additional actuator.
Fertilization strategies for abating N pollution at the scale of a highly vulnerable and diverse semi-arid agricultural region (Murcia, Spain)
Authors: Sanz-Cobena Alberto , Lassaletta Luis , Rodríguez Alfredo , Aguilera Eduardo , Piñero Pablo , Moro Marta , Garnier Josette , Billen Gilles , Einarsson Rasmus , Bai Zhaohai , Ma Lin , Puigdueta Ivanka , Ruíz-Ramos Margarita , Vallejo Antonio , Zaman Mohammad , Infante-Amate Juan , Gimeno Benjamín S 
Published: May 2023

Abstract
Overuse of N fertilizers in crops has induced the disruption of the N cycle, triggering the release of reactive N (Nr) to the environment. Several EU policies have been developed to address this challenge, establishing targets to reduce agricultural Nr losses. Their achievement could be materialized through the introduction of fertilizing innovations such as incorporating fertilizer into soils, using urease inhibitors, or by adjusting N inputs to crop needs that could impact in both yields and environment. The Murcia region (southeastern Spain) was selected as a paradigmatic case study, since overfertilization has induced severe environmental problems in the region in the last decade, to assess the impact of a set of 8 N fertilizing alternatives on crop yields and environmental Nr losses. Some of these practices imply the reduction of N entering in crops. We followed an integrated approach analyzing the evolution of the region in the long-term (1860–2018) and considering nested spatial- (from grid to region) and systems scales (from crops to the full agro-food system). We hypothesized that, even despite reduction of N inputs, suitable solutions for the abatement of Nr can be identified without compromising crop yields. The most effective option to reduce Nr losses was removing synthetic N fertilizers, leading to 75% reductions in N surpluses mainly due to a reduction of 64% of N inputs, but with associated yield penalties (31%–35%). The most feasible alternative was the removal of urea, resulting in 19% reductions of N inputs, 15%–21% declines in N surplus, and negligible yield losses. While these measures are applied at the field scale, their potential to produce a valuable change can only be assessed at regional scale. Because of this, a spatial analysis was performed showing that largest Nr losses occurred in irrigated horticultural crops. The policy implications of the results are discussed.
A comfortable graph structure for Grover walk
Authors: Higuchi Yusuke , Sabri Mohamed , Segawa Etsuo 
Published: May 2023

Abstract
We consider a Grover walk model on a finite internal graph, which is connected with a finite number of semi-infinite length paths and receives the alternative inflows along these paths at each time step. After the long time scale, we know that the behavior of such a Grover walk should be stable, that is, this model has a stationary state. In this paper our objectives are to give some characterization upon the scattering of the stationary state on the surface of the internal graph and upon the energy of this state in the interior. For the scattering, we concretely give a scattering matrix, whose form is changed depending on whether the internal graph is bipartite or not. On the other hand, we introduce a comfortability function of a graph for the quantum walk, which shows how many quantum walkers can stay in the interior, and we succeed in showing the comfortability of the walker in terms of combinatorial properties of the internal graph.
Study on failure evolution of 15CrMo steel used for aviation kerosene hydrogenation unit
Authors: Liu Hongzhi , Wang Xiaozhen , Cui Jingkai , Deng Wei , Yang Chao 
Published: May 2023

Abstract
In aviation kerosene hydrogenation unit, the 15CrMo steel with good resistance to hydrogen embrittlement performed obvious pitting corrosion with certain micro-cracks in H2/H2S environment. In this paper, the failure behavior of 15CrMo steel in H2/H2S environment had been studied using electrochemical method and microscopic morphology. The results showed that within 10 days, the 15CrMo steel performed good resistance with a smaller max pit depth (15.48 μm on the 10th day) in H2/H2S environment, proved by the passivation zone (−0.75 ∼ −0.62 V on 10th day). Furthermore, 15CrMo steel exhibited activated corrosion with a significantly increasing max pit depth and corrosion current density, especially, reaching 131.91 μm and 17.29 μA m−2 on 30th day. Moreover, the stress corrosion cracking caused by H2S appeared on 30th day.
Theoretical characterization of uncertainty in high-dimensional linear classification
Authors: Clarté Lucas , Loureiro Bruno , Krzakala Florent , Zdeborová Lenka 
Published: May 2023

AbstractBeing able to reliably assess not only theaccuracybut also theuncertaintyof models’ predictions is an important endeavor in modern machine learning. Even if the model generating the data and labels is known, computing the intrinsic uncertainty after learning the model from a limited number of samples amounts to sampling the corresponding posterior probability measure. Such sampling is computationally challenging in high-dimensional problems and theoretical results on heuristic uncertainty estimators in high-dimensions are thus scarce. In this manuscript, we characterize uncertainty for learning from a limited number of samples of high-dimensional Gaussian input data and labels generated by the probit model. In this setting, the Bayesian uncertainty (i.e. the posterior marginals) can be asymptotically obtained by the approximate message passing algorithm, bypassing the canonical but costly Monte Carlo sampling of the posterior. We then provide a closed-form formula for the joint statistics between the logistic classifier, the uncertainty of the statistically optimal Bayesian classifier and the ground-truth probit uncertainty. The formula allows us to investigate the calibration of the logistic classifier learning from a limited amount of samples. We discuss how over-confidence can be mitigated by appropriately regularizing.
Reducing duplicate genetic testing in inpatient and outpatient settings across a large safety-net system
Authors: Alarcon Manchego Peter , Krouss Mona , Alaiev Daniel , Talledo Joseph , Zaurova Milana , Chandra Komal , Tsega Surafel , Garcia Mariely , Ford Kenra , Apfelroth Stephen , Bajaj Komal , Shin Dawi , Cho Hyung J 
Published: May 2023

Abstract

Objectives
To develop a system-wide electronic health record (EHR) intervention at a large safety-net hospital system to reduce wasteful duplicate genetic testing.

Methods
This project was initiated at a large urban public health care system. An EHR alert was designed to be triggered when a clinician attempted to order any of 16 specified genetic tests for which a previous result existed within the EHR system. Measurements included the proportion of completed genetic tests that were duplicates and alerts per 1,000 tests. Data were stratified by clinician type, specialty, and inpatient vs ambulatory setting.

Results
Across all settings, the rate of duplicate genetic testing decreased from 2.35% (1,050 of 44,592 tests) to 0.09% (21 of 22,323 tests) (96% relative reduction, P &lt; .001). The alert rate per 1,000 tests was 277 for inpatient orders and 64 for ambulatory orders. Among clinician types, residents had the highest alert rate per 1,000 tests at 166 and midwives the lowest at 51 (P &lt; .01). Among clinician specialties, internal medicine had the highest alert rate per 1,000 tests at 245 and obstetrics and gynecology the lowest at 56 (P &lt; .01).

Conclusions
The EHR intervention successfully reduced duplicate genetic testing by 96% across a large safety-net setting.