bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial resolution of shell microchemistry for tracking dispersing pelagic mussels in a large open embayment in northern New Zealand
Authors: Wu Wenjie , Lundquist Carolyn J. , Jeffs Andrew G. 
Published: January 2025

Context The effectiveness of using shell microchemistry methods for reconstructing the pelagic dispersal of shell-forming marine organisms relies on the existence of sufficient spatial variability and temporal stability in the microchemical composition of coastal waters. Aims This study aimed to determine whether shell microchemistry methods can reliably infer pelagic dispersal of green-lipped mussel (Perna canaliculus) across a large and well-mixed embayment in New Zealand. Methods Isotopes of 12 chemical elements (7Li, 27Al, 59Co, 60Ni, 63Cu, 66Zn, 88Sr, 138Ba, 139La, 140Ce, 208Pb and 238U) were assessed from juvenile mussel shells grown in situ from 22 sites for two consecutive periods of ~5 weeks. Key results There was sufficient spatial variability in measured shell element concentrations to support microchemical atlases that are capable of distinguishing among regions within this large embayment, with 73% assignment accuracy. However, the temporal variability in the microchemical signatures is such that they would need to be sampled contemporaneously with animal samples to be effective for distinguishing pelagic dispersal of mussels in the embayment. Conclusions The shell microchemistry shows sufficient spatio-temporal resolution for reliably inferring pelagic dispersal of this economically and ecologically important mussel species over a large embayment. Sufficient resolution at such large scale may come from unique hydro-geological inputs. Implications This study confirms the feasibility of shell microchemistry method in tracking pelagic dispersal of marine organisms across a large well-mixed embayment, offering insights to improve accuracy and reduce costs for future research.
Blended origo — Deixis in virtual reality
Authors: Senkbeil Karsten 
Published: January 2025

Abstract
Studies on communication in Social Virtual Reality (SVR) have shown that the immersive qualities of VR — the
sense of presence, and a sense of embodiment through increasingly realistic motion tracking
and avatars — have an impact on verbal communicative interactions in the new medium. Misunderstandings and moments of linguistic
creativity are observable, and many of them revolve around ambivalent locations, doubled ‘bodies’, and issues while coordinating
attention, i.e.: they concern deixis. This paper presents the results of a qualitative analysis of deictic terms in verbal
interactions in SVR. It demonstrates that the unusual communicative circumstances in immersive VR directly affect a speaker’s
origo, the deictic zero-point of orientation in space and time. This paper concludes that the term
blended origo may serve as an analytical concept to understand deixis while SVR users communicatively
interact in two ‘realities’ simultaneously.
Phase portrait analysis and exact solutions of the stochastic complex Ginzburg–Landau equation with cubic–quintic–septic–nonic nonlinearity governing optical propagation in highly dispersive fibers
Authors: Wang Chengqiang , Zhao Xiangqing , Mai Qiuyue , Lv Zhiwei 
Published: January 2025

Abstract
The study of the impact of random perturbations on exact solutions, such as soliton solutions, of nonlinear partial differential equations, is of great importance, as it helps establish the theoretical foundations necessary for practical applications. In this paper, we study further the problem of finding exact solutions of the complex Ginzburg–Landau equation incorporating eighth-order dispersion, high nonlinearity and random perturbation effect described by multiplicative white noise. We transform the problem of identifying exact solutions into the problem of solving an auxiliary second-order ordinary differential equation whose coefficients satisfy several algebraic equations simultaneously and which has a cubic polynomial as its nonlinearity, we utilize the phase portrait analysis method of Hamiltonian dynamical systems to conceptualize the structure of solutions to the auxiliary ordinary differential equations, and we borrow some idea of the method of complete discrimination systems for polynomials to calculate (the profiles of) the amplitude functions, thereby obtaining the desired exact solutions. To make our approach more accessible for practical use, we also provide clues for determining the coefficients of the auxiliary ordinary differential equation. In the meantime, we provide several numerical simulations to illustrate our theoretical results. Aside from the perturbed soliton solutions (corresponding to perturbed bright and dark optical solitons) reported in the existing literature, we find perturbed periodic and singular solutions in the concerned Ginzburg–Landau equation. The phase portrait analysis approach used in this paper helps to intuitively visualize the structure of exact solutions, thereby reducing the labor involved in calculating exact solutions to nonlinear partial differential equations. The Ginzburg–Landau equation can be utilized to portray the transmission of waves in optical metamaterials, and therefore, our theoretical research in this paper lays the groundwork for the identification of new solitons which are well-suited for optical communications and contributes to the advancement of optical technologies.
Photochromic properties calculation of diaryl maleic anhydride
Authors: Shudong Zhang 
Published: January 2025

Abstract
In the calculation of the photochromic mechanism of (2,3-di(3-furyl)maleic anhydride, DFMA) ( as reported in Acta Phys. Sinica. 2021, 70(16): 163101), it was discovered that between the open-ring and closed-ring stable configurations, the potential energy curves of the electronic ground state (S0) and the first excited state (S1) exhibited an ‘X’ shape distribution along the reaction path. The conversion between open-ring and closed-ring occurs at the intersection of the potential energy curves, and a photoinduced ring-closing reaction accompanied by fluorescence was predicted, while a photoinduced ring-opening reaction was not. In this work, we apply the same method to investigate the mechanism of the photoinduced molecular switching process in the compounds of 2,3-di(3-thienyl)maleic anhydride(DTMA) and 2,3-di(3-pyrrolyl)maleic anhydride(DPMA). The transition state (TS) and minimum energy path (MEP) between the open-ring and closed-ring were determined by using the nudged elastic band (NEB) method. The potential energy curves of the lowest eight single excited states of DxMA(x = F, T, P) were computed based on the molecular configurations corresponding to the MEP curve (ground state S0). Interestingly, only the first excited state (S1 state) has a minimum value in the TS configuration among all eight excited states. That is, between the open-ring and closed-ring, the potential curves of S0 and S1 display an ‘X’ shape with a cross occurred at the TS configuration. The calculation of the S1←S0 resonance vibronic absorption spectrum of the open-ring/closed-ring state via molecular dynamics reveals that the transition intensity of the closed-ring state is 3 ∼ 5 times that of the open-ring state, which demonstrates that the efficiency of the closed-ring to the open-ring is higher.
Highly scalable In0.95Ga0.05As based controllable leaky-integrate-fire neuron for high performance spiking neural network and applications
Authors: Faizan Mohd , Loan Sajad A , Alkhammash Hend I 
Published: January 2025

Abstract
In this work, we design and simulate a leaky integrate-and-fire (LIF) neuron based on a single Indium Gallium Arsenide (In0.95Ga0.05As) MOSFET. The proposed implementation results in significant improvements in energy, area, and cost reduction. The In0.95Ga0.05As -MOSFET LIF neuron imitates neuron behaviour accurately, with low breakdown voltage, high impact ionization coefficient, and sharp breakdown. Due to the storage of induced holes in the potential well of the In0.95Ga0.05As -MOSFET, impact ionisation is the main mechanism creating the spiking characteristic in this case. It requires only 7.11 pJ/spike of energy, compared to the silicon-based SOI MOSFET, which requires 45 pJ/spike. The LIF neuron exhibits a 0.5 MHz high spiking frequency, which is 5 times higher than real nerves in the human body. Compared to biology, MHz operation provides appealing hardware acceleration. In0.95Ga0.05As -MOSFET LIF neuron firing may be controlled through the application of gate voltage, which can increase the spiking neural networks (SNN) energy efficiency by causing sparse activity. The effects of gate metal work function, Gallium mole fraction, and temperature on spike current variations are also investigated. This neuron circuit has promising potential for large-scale integration in spiking neural network hardware. Reconfigurable threshold logic gates have been investigated for the proposed neuron in order to implement universal digital logic functions, such as NAND and NOR.
Role of dysprosium substitution on microscopy architecture, structural stability, and crack propagation mechanism in Bi-2212 engineering ceramics
Authors: Kurtul G , Ulgen A T , Armagan O , Turkoz M B , Erdem Ü , Yildirim G 
Published: January 2025

Abstract
This study achieves a strong link between microscopy architecture and fundamental characteristics including electrical conductivity, superconducting, and key mechanical design properties of Bi2.1-xDyxSr2.0Ca1.1Cu2.0Oy (Bi-2212) ceramic structures with different dysprosium molar ratio ranges of 0.00 ≤ x ≤ 0.10. The Dy/Bi substituted Bi-2212 ceramics are characterized by scanning electron microscopy (SEM), electrical resistivity (ρ-T), Electron Dispersive x-ray (EDX) investigations, and microindentation Vickers hardness (Hv) tests. Powder x-ray diffraction (XRD) experimental inspection is also studied to support SEM and Hv results. All experimental findings show significant improvement with an increase in the Dy impurity molar ratio to x = 0.01. On this basis, the Bi2.09Dy0.01Sr2.0Ca1.1Cu2.0Oy ceramic structure exhibits the lowest resistivity of 8.95 mΩ.cm at 300 K and transition width of 4.75 K, and the highest

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of 80.25 K. Additionally, XRD examinations show that optimum Dy ion substitution in the Bi-2212 system stabilizes the high superconducting phase by improving crystallinity, crystallite size, grain orientation distributions, texturing, and interlayer interactions. In contrast, excessive substitution severely deteriorates crystallographic properties. Further, SEM images reveal that the presence of optimum Dy impurity enhances the crystallinity, couplings between the adjacent layers, homogeneous surface appearance, and microstructure. Moreover, the key mechanical design features and stability of the durable tetragonal phase improve significantly for x = 0.01. As a result, the material exhibits superior mechanical properties, including a microhardness of 0.5556 GPa, fracture toughness of 0.5390 MPa.m1/2, elastic modulus of 45.5389 GPa, shear modulus of 18.2156 GPa, yield strength of 0.1852 GPa, and resilience of 0.3766 MPa under a 0.295 N load.
Tele-correlation: calibrating shear-shear correlation with real data
Authors: Shen Zhi , Zhang Jun , Liu Cong , Li Hekun , Wang Haoran , Liu Zhenjie , Sun Jiarui 
Published: January 2025

Abstract
Tele-correlation refers to the correlation of galaxy shapes with large angular separations (e.g., > 100 degrees). Since there are no astrophysical reasons causing such a correlation on cosmological scales, any detected tele-correlation could disclose systematic effects in shear-shear correlation measurement. If the shear estimators are measured on single exposures, we show that the field distortion (FD) signal associated with the galaxy position on the CCD can be retained and used in tele-correlation to help us directly calibrate the multiplicative and additive biases in shear-shear correlations.
We use the DECaLS shear catalog produced by the Fourier_Quad pipeline to demonstrate this idea.
To our surprise, we find that significant multiplicative biases can arise (up to more than 10%) due to redshift binning of the galaxies. Correction for this bias leads to about 1σ increase of the best-fit value of S
8 from 0.760+0.015
-0.017 to 0.777+0.016
-0.019 in our tomography study.
Improving analogues-based detection & attribution approaches for hurricanes
Authors: Bourdin Stella , Camargo Suzana J , Lee Chia-Ying , Lin Jonathan , Vrac Mathieu , Vaittinada Ayar Pradeebane , Faranda Davide 
Published: January 2025

Abstract
This paper presents a proof of concept for a new analogue-based framework for the detection and attribution of hurricane-related hazards. This framework addresses two important limitations of existing analogue-based methodologies: the lack of observed similar events, and the unsuitability of the distance metrics for hurricanes. To do so, we use a track-based metric, and we make use of synthetic tracks catalogues. We show that our method allows for selecting a sufficient number of suitable analogues, and we apply it to nine hurricane cases. Our analysis does not reveal any robust changes in wind hazards, translation speed, seasonality, or frequency over recent decades, consistent with current literature. This framework provides a reliable alternative to traditional analogue-based methods in the case of hurricanes, complementing and potentially enhancing efforts in addressing extreme weather event attribution.
Climate change hazard index reveals combined risks to United States drinking water utilities
Authors: Lyle Zia J , VanBriesen Jeanne M , Samaras Constantine 
Published: January 2025

Abstract
Drinking water utilities are exposed to a range of climate change hazards that can affect their ability to deliver safe drinking water. We use climate change mid-century projections to assess seven hazards for 42 786 utility systems (serving 283 million people) across the contiguous United States and develop a combined climate hazard index that allows for risk comparisons. All utilities are exposed to climate hazards, and around half, serving 178 million people (53% of current population), could experience large changes in one or more climate hazards that could affect an aspect of system reliability, including water resources, infrastructure, or operations. While utilities located in Western regions and coastal areas have higher climate hazard index values, there are utilities serving different population sizes in all geographic regions with elevated climate risk. Few utilities have developed climate adaptation plans and many may have existing vulnerabilities. This index provides multiple stakeholders, including utilities, regulators, and investors, with usable and accessible climate information.
Mistakes and Unhealthy Behaviour
Authors: Wilkinson T M 
Published: January 2025

Abstract
We are hardly infallible in pursuing our interests, but it is less obvious than many public health advocates think that our unhealthy choices are mistaken. We may make unhealthy choices because we are factually misinformed or not motivated to act on our preferences, but we might also cheerfully prefer the unhealthy options. We cannot decide which just by considering addiction, manipulation, irrational choice, or whether we are in general the best judges of our interests. We need to know what counts as a mistake, which this chapter describes, and the evidence about whether we make such mistakes, which the next chapter presents.
Autonomy
Authors: Wilkinson T M 
Published: January 2025

Abstract
Autonomy is valuable in itself, apart from whether it makes us better fulfil our preferences; and sometimes, although not always, we should not interfere with people’s decisions about their lives even if doing so would make them better off. This chapter describes autonomy as personal sovereignty and explains how it can conflict with and outweigh the value of well-being. It considers how to think about tradeoffs between autonomy and well-being. Thus public health advocates must tell us why their interventions are either of enough benefit to outweigh any loss of autonomy or else do not conflict with autonomy at all. Critics of public health must do more than show that public health interventions infringe on autonomy; they must also explain why the loss of autonomy is not outweighed by the benefits in well-being.
Do Public Health Interventions Infringe on Autonomy?
Authors: Wilkinson T M 
Published: January 2025

Abstract
This chapter sets out and criticizes arguments by public health advocates that their interventions would not infringe on autonomy. The advocates argue that taxes, and similar cost-raising measures, do not infringe on autonomy; that typically public health interventions are in relatively trivial matters outside the protection of autonomy; that interventions, despite restricting choice, enhance autonomy; and that people want to limit their unhealthy options so as to avoid indulging their weaknesses. These arguments are not persuasive. Only the last argument, that people want to limit their own choices, is promising in principle; its problem is that we have no good reason to think that many people do want to limit their choices.
Rationality, Addiction, and Manipulation
Authors: Wilkinson T M 
Published: January 2025

Abstract
Advocates for public health interventions say they could not infringe on our autonomy because unhealthy consumption is not autonomous; but their arguments are unsuccessful. This chapter consider three main arguments. The first is that our actions generally are not autonomous; this conclusion rests on an implausibly demanding account of autonomy and an exaggerated view of the evidence. The second is that unhealthy products are often addictive; but most consumers of these products are not addicted, and even the addicts tend to be autonomous. The final argument is that unhealthy consumption is powerfully driven by manipulation. To assess this claim, we need both to understand the concept of manipulation and consider the evidence; and once we understand the evidence needed to support the claim, we can see we do not have it.
The Nanny State and Market Failure
Authors: Wilkinson T M 
Published: January 2025

Abstract
Public health advocates cannot avoid paternalistic arguments if they want to justify the interventions they favour. They say their interventions correct market failures, for instance by preventing some imposing costs on others, or by providing healthy options where markets do not. These arguments are not paternalistic but they also do not successfully justify many of the bans, taxes, regulations, and sometimes subsidies that public health advocates want. What the advocates want could only be justified if people would be better off by being steered towards being healthier. In other words, the only justification that might work is paternalistic. However, we can learn from the non-paternalistic arguments. Public health advocates are right to emphasize the collective in one respect, not as an alternative to paternalism but in showing that public health paternalism is not made redundant by the possibility of privately constraining one’s own unhealthy choices.
Psychological Disorders in Patients With Resistant Hypertension and the Effect of Psychotherapy Combined With Antidepressant/Anxiolytics
Authors: Danyang Qiu , Guolong Yu 
Published: January 2025

Abstract

OBJECTIVE
To explore the clinical characteristics and related influencing factors of psychological disorders in patients with resistant hypertension (RH), and to analyze the therapeutic effect of psychotherapy combined with antidepressant/anxiolytics.

METHODS
A total of 247 patients with RH were consecutively selected from the Cardiovascular Department of Xiangya Hospital, Central South University from May 2021 to August 2023. The general demographic data were collected, and the psychological disorders were evaluated by the generalized anxiety disorder-7 items scale (GAD-7), patient health questionnaire-9 items scale (PHQ-9), and patient health questionnaire-15 items scale (PHQ-15). The patients with RH complicated with psychological disorders were treated with psychotherapy combined with flupentixol melitracen-based drugs for 3 months on the basis of the original antihypertensive scheme. The antihypertensive efficacy, the number of antihypertensive drugs, and the changes in GAD-7, PHQ-9, and PHQ-15 were analyzed.

RESULTS
The detection rates of RH combined with anxiety, depression, and somatization were 41.7%, 38.5%, and 68.8%, respectively, and the total detection rate of mental disorders was 71.3%. Multivariate logistic regression analysis showed that life stress (odds ratio [OR] = 3.842, 95% confidence interval [CI] 1.752–8.427), PHQ-9 score (OR = 1.183, 95% CI 1.085–1.290), and PHQ-15 score (OR = 1.284, 95% CI 1.146–1.440) were independent risk factors for anxiety state, and the long course of disease (OR = 1.693, 95% CI 1.086–2.639), GAD-7 score (OR = 1.181, 95% CI 1.084–1.286), and PHQ-15 score (OR = 1.390, 95% CI 1.231–1.569) were independent risk factors for depression. The GAD-7 score (OR = 1.206, 95% CI 1.036–1.404) and PHQ-9 score (OR = 1.419, 95% CI 1.152–1.748) were independent risk factors for somatic symptoms. Somatic symptom score was significantly positively correlated with GAD-7 (rs = 0.705, P &lt; 0.001) and PHQ-9 (rs = 0.742, P &lt; 0.001), respectively. After treatment, the total effective rate was 94.9%, the blood pressure control rate was 83.5%, and in 51.3% of patients, the number of antihypertensive drugs taken decreased by ≥1. After treatment, the scores of GAD-7, PHQ-9, PHQ-15, and blood pressure were all decreased (all P &lt; 0.001).

CONCLUSIONS
RH patients have a high incidence of psychological disorders, with somatization symptoms as a prominent manifestation. Anxiety, depression, and somatization symptoms interact and influence each other. Psychotherapy combined with antidepressant/anxiolytic therapy can improve the antihypertensive effect, and improve their anxiety, depression, and somatization symptoms in RH patients with mental disorders.
Change surface regression for nonlinear subgroup identification with application to warfarin pharmacogenomics data
Authors: Liu Pan , Li Yaguang , Li Jialiang 
Published: January 2025

ABSTRACT
Pharmacogenomics stands as a pivotal driver toward personalized medicine, aiming to optimize drug efficacy while minimizing adverse effects by uncovering the impact of genetic variations on inter-individual outcome variability. Despite its promise, the intricate landscape of drug metabolism introduces complexity, where the correlation between drug response and genes can be shaped by numerous nongenetic factors, often exhibiting heterogeneity across diverse subpopulations. This challenge is particularly pronounced in datasets such as the International Warfarin Pharmacogenetic Consortium (IWPC), which encompasses diverse patient information from multiple nations. To capture the between-patient heterogeneity in dosing requirement, we formulate a novel change surface model as a model-based approach for multiple subgroup identification in complex datasets. A key feature of our approach is its ability to accommodate nonlinear subgroup divisions, providing a clearer understanding of dynamic drug-gene associations. Furthermore, our model effectively handles high-dimensional data through a doubly penalized approach, ensuring both interpretability and adaptability. We propose an iterative 2-stage method that combines a change point detection technique in the first stage with a smoothed local adaptive majorize-minimization algorithm for surface regression in the second stage. Performance of the proposed methods is evaluated through extensive numerical studies. Application of our method to the IWPC dataset leads to significant new findings, where 3 subgroups subject to different pharmacogenomic relationships are identified, contributing valuable insights into the complex dynamics of drug-gene associations in patients.