bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pairing phase transition in an odd–even hot 69Zn nucleus
Authors: Senapati Enakshi , Mondal Satabdi , Bhattacharya Srijit , Pandit Deepak , Dinh Dang N , Ngoc Anh Nguyen , Quynh Huong L T , Santra Rajkumar , Hung N Quang , Dey Balaram 
Published: May 2023

Abstract
The pairing phase transition in an odd–even hot-rotating 69Zn nucleus has been investigated by using the reported nuclear level density (NLD) data, which were experimentally extracted from the γ-gated particle spectra. The experimental NLDs have been compared with those obtained within the microscopic exact pairing plus independent-particle model at finite temperature (EP+IPM) along with the results of other microscopic calculations such as the Hartree–Fock BCS (HFBCS) and Hartree–Fock–Bogoliubov plus combinational (HFBC) methods. It is found that the experimental NLDs can be well described by the EP+IPM using the recommended quadrupole deformation parameter β
2 = −0.164. Intriguingly, the heat capacity calculated using the EP+IPM NLD exhibits a sharp S-shape, which is not expected in such odd–even hot or hot-rotating system as reported earlier. Changing the deformation parameter β
2 does not change much this S-shape. However, increasing or decreasing the pairing gaps could enhance or destroy the S-shaped heat capacity. Therefore, the S-shaped heat capacity in odd–even 69Zn nucleus is explained due to the deformation-induced pairing correlation.
Swelling as a stabilizing mechanism in irradiated thin films: III. Effect on critical angle in a composite model
Authors: Evans Tyler , Norris Scott 
Published: May 2023

Abstract
Ion-beam irradiation of an amorphizable material such as Si or Ge may lead to spontaneous pattern formation, rather than flat surfaces, for irradiation beyond some critical angle against the surface normal. It is observed experimentally that this critical angle varies according to many factors, including beam energy, ion species and target material. However, many theoretical analyses predict a critical angle

θ

c

of 45∘ independent of energy, ion and target, disagreeing with experiment. Previous work on this topic has suggested that isotropic swelling due to ion-irradiation may act as a stabilization mechanism, potentially offering a theoretical explanation for the elevated value of

θ

c

in Ge compared to Si for the same projectiles. In the present work, we consider a composite model of stress-free strain and isotropic swelling with a generalized treatment of stress modification along idealized ion tracks. We obtain a highly-general linear stability result with a careful treatment of arbitrary spatial variation functions for each of the stress-free strain-rate tensor, a source of deviatoric stress modification, and isotropic swelling, a source of isotropic stress. Comparison with experimental stress measurements suggests that the presence of angle-independent isotropic stress may not be a strong influence on

θ

c

for the 250 eV Ar

+

→

Si system. At the same time, plausible parameter values suggest that the swelling mechanism may, indeed, be important for irradiated Ge. As secondary results, we show the unexpected importance for

θ

c

of the relationship between free and amorphous-crystalline interfaces in the thin film model. We also show that under simple idealizations used elsewhere, spatial variation of stress may not contribute to

θ

c

selection. These findings prompt modeling refinements which will be the focus of future work.
Field angle dependent resonant dynamics of artificial spin ice lattices
Authors: Kuchibhotla Mahathi , Haldar Arabinda , Adeyeye Adekunle Olusola 
Published: May 2023

Abstract
Artificial spin ice structures which are networks of coupled nanomagnets arranged on different lattices that exhibit a number of interesting phenomena are promising for future information processing. We report reconfigurable microwave properties in artificial spin ice structures with three different lattice symmetries namely square, kagome, and triangle. Magnetization dynamics are systematically investigated using field angle dependent ferromagnetic resonance spectroscopy. Two distinct ferromagnetic resonance modes are observed in square spin ice structures in contrast with the three well-separated modes in kagome and triangular spin ice structures that are spatially localized at the center of the individual nanomagnets. A simple rotation of the sample placed in magnetic field results in the merging and splitting of the modes due to the different orientations of the nanomagnets with respect to the applied magnetic field. Magnetostatic interactions are found to shift the mode positions after comparing the microwave responses from the array of nanomagnets with control simulations with isolated nanomagnets. Moreover, the extent of the mode splitting has been studied by varying the thickness of the lattice structures. The results have potential implications for microwave filter-type applications which can be operated for a wide range of frequencies with ease of tunability.
Role of graphene nanoparticles on the electrophysical processes in PVP and PVP:ZnTiO3 polymer layers at Schottky diode (SD)
Authors: Barkhordari Ali , Mashayekhi Hamid Reza , Amiri Pari , Altındal Şemsettin , Azizian-Kalandaragh Yashar 
Published: May 2023

Abstract
In this paper, a polyvinyl pyrrolidine (PVP) polymer layer is inserted between the metal–semiconductor (MS) structure to manufacture a metal–polymer–semiconductor (MPS) structure or Schottky diode (SD). The zinc titanate and graphene nanostructures were doped into the PVP layer individually and together to improve the electrical performance of the MPS-type SD. The crystalline size, surface morphology, and band gap energy of the ZnTiO3 nanostructures are examined by the x-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), and ultraviolet–visible (UV–Vis) spectroscopy, respectively. It is common to measure the current–voltage (I–V) features (at ±3 V) of these five structures for calculating the reverse saturation current (I
0), barrier height, ideality factor (n), series (R
s), and shunt (R
sh) resistances as the main electrical parameters utilizing the thermionic emission, Norde, and Cheung models. Also, the forwarded-bias energy-dependent surface states density (N
ss) and the forward/reverse biased current conduction mechanisms are studied and discussed. The rectifying ratio (RR) of Al/PVP:Gr-ZnTiO3/p-Si SD has the highest increase among these five SDs while the lowest I
0 and highest R
sh are related to the Al/PVP:Gr/p-Si (MPS2) and Al/PVP:ZnTiO3/p-Si (MPS3) SDs, respectively. Therefore, doping Gr into the PVP interlayer increases the electrical conduction in the SDs although PVP:Gr-ZnTiO3 polymer layer improves the RR of SDs.
Fisher information of correlated stochastic processes
Authors: Radaelli Marco , Landi Gabriel T , Modi Kavan , Binder Felix C 
Published: May 2023

Abstract
Many real-world tasks include some kind of parameter estimation, i.e. the determination of a parameter encoded in a probability distribution. Often, such probability distributions arise from stochastic processes. For a stationary stochastic process with temporal correlations, the random variables that constitute it are identically distributed but not independent. This is the case, for instance, for quantum continuous measurements. In this article, we derive the asymptotic Fisher information rate for a stationary process with finite Markov order. We give a precise expression for this rate which is determined by the process’ conditional distribution up to its Markov order. Second, we demonstrate with suitable examples that correlations may both enhance or hamper the metrological precision. Indeed, unlike for entropic information quantities, in general nothing can be said about the sub- or super-additivity of the joint Fisher information in the presence of correlations. To illustrate our results, we apply them to thermometry on an Ising spin chain, considering nearest-neighbour and next-to-nearest neighbour coupling. In this case, the asymptotic Fisher information rate is directly connected to the specific heat capacity of the spin chain. We observe that the presence of correlations strongly enhances the estimation precision in an anti-ferromagnetic chain, while in a ferromagnetic chain this is not the case.
Using Hocker and Burns numerical method to analyze the dispersion properties of a planar waveguide with an exponentially graded-index core layer for s-polarized light
Authors: Almawgani Abdulkarem H M , Hussein Aya J , Taya Sofyan A , Hindi Ayman Taher , Colak Ilhami , Alqanoo Anas A M , Patel Shobhitkumar , Pal Amrindra 
Published: May 2023

Abstract
Although not realistic, the theory of step-index waveguide has been discussed in most published works. Electric and magnetic fields can be written as well-known functions such as exponential, sine and cosine functions. However, the index distribution of the most practical waveguides is better described as graded. Despite certain similarities, step-index and graded-index waveguide structures also have considerable differences. The characteristic equation of s-polarized wave propagating in a planar waveguide with an exponentially graded-index thin core layer is examined in this work using the Hocker and Burns numerical approach. This method utilizes the effective index method of analyzing waveguides with 2D confinement. It was efficiently applied to problems of channel waveguides formed by diffusion. The technique depends on finding the phase shift of the curved optical path in the graded index zone as stacked infinite thin layers. Three factors contribute to the total transverse phase shift: (1) film-cladding interface phase delay, (2) film-substrate interface phase delay, and (3) phase delay caused by the zigzag optical path of the guiding film. The findings revealed the following intriguing observations. The dispersion curves of the graded-index waveguide structure are in the normal shape in which the generalized guide index (GeGI) increases with the rise of the normalized frequency. At high values of the normalized frequency, the GeGI displays less dependence on it. The dispersion curves show cut-off thicknesses which increase for higher asymmetry measure values. A comparison between graded-index and step-index waveguide structures is carried out.
Covariant definition of double null data and geometric uniqueness of the characteristic initial value problem
Authors: Mars Marc , Sánchez-Pérez Gabriel 
Published: May 2023

Abstract
The characteristic Cauchy problem of the Einstein field equations has been recently addressed from a completely abstract viewpoint by means of hypersurface data and, in particular, via the notion of double null data (DND). However, this definition was given in a partially gauge-fixed form. In this paper we generalize the notion of DND in a fully diffeomorphism and gauge covariant way, and show that the definition is complete by proving that no extra conditions are needed to embed the DND in some spacetime. The second aim of the paper is to show that the characteristic Cauchy problem satisfies a geometric uniqueness property. Specifically, we introduce a natural notion of isometry at the abstract level such that two DND that are isometric in this sense give rise to isometric spacetimes.
Thermal features of Heisenberg antiferromagnets on edge- versus corner-sharing triangular-based lattices: a message from spin waves
Authors: Yamamoto Shoji , Ohara Jun 
Published: May 2023

Abstract
We propose a new scheme of modifying spin waves so as to describe the thermodynamic properties of various noncollinear antiferromagnets with particular interest in a comparison between edge- versus corner-sharing triangular-based lattices. The well-known modified spin-wave theory for collinear antiferromagnets diagonalizes a bosonic Hamiltonian subject to the constraint that the total staggered magnetization be zero. Applying this scheme to frustrated noncollinear antiferromagnets ends in a poor thermodynamics, missing the optimal ground state and breaking the local U(1) rotational symmetry. We find such a plausible double-constraint condition for spin spirals as to spontaneously go back to the traditional single-constraint condition at the onset of a collinear Néel-ordered classical ground state. We first diagonalize only the bilinear terms in Holstein-Primakoff boson operators on the order of spin magnitude S and then bring these linear spin waves into interaction in a perturbative rather than variational manner. We demonstrate specific-heat calculations in terms of thus-modified interacting spin waves on various triangular-based lattices. In zero dimension, modified-spin-wave findings in comparison with finite-temperature Lanczos calculations turn out so successful as to reproduce the monomodal and bimodal specific-heat temperature profiles of the triangular-based edge-sharing Platonic and corner-sharing Archimedean polyhedral-lattice antiferromagnets, respectively. In two dimensions, high-temperature series expansions and tensor-network-based renormalization-group calculations are still controversial especially at low temperatures, and under such circumstances, modified spin waves interestingly predict that the specific heat of the kagome-lattice antiferromagnet in the corner-sharing geometry remains having both mid-temperature broad maximum and low-temperature narrow peak in the thermodynamic limit, while the specific heat of the triangular-lattice antiferromagnet in the edge-sharing geometry retains a low-temperature sharp peak followed by a mid-temperature weak anormaly in the thermodynamic limit. By further calculating one-magnon spectral functions in terms of our newly developed double-constraint modified spin-wave theory, we reveal that not only the elaborate modification scheme but also quantum corrections, especially those caused by the O(S
0) primary self-energies, are key ingredients in the successful description of triangular-based-lattice noncollinear antiferromagnets over the whole temperature range of absolute zero to infinity.
Implementation of an integrated ambulatory care pharmacist collaborative care workflow model in specialty clinics in a large academic health system
Authors: Lee Jenna , Tong Kimhouy , Stroedecke Natasha , Monestime Sera , Eom Esther , Stutsky Martha , Boothe Kimberly , Luon Steph , Sawant Vinay , Renauer Marie 
Published: May 2023

Abstract

Purpose
Ambulatory care and specialty pharmacy practices are rapidly growing in tandem with the accelerated development of advanced therapies for complex disease states. A coordinated and standardized interprofessional team–based approach is critical to providing high-quality care to specialty patients on complex, expensive, and high-risk therapies. Yale New Haven Health System dedicated resources to the creation of a medication management clinic under a unique care model that integrates ambulatory care pharmacists within specialty clinics who coordinate with centralized specialty pharmacists. The new care model workflow encompasses ambulatory care pharmacists, specialty pharmacists, ambulatory care pharmacy technicians, specialty pharmacy liaisons, clinicians, and clinic support staff. The strategies employed to design, implement, and optimize this workflow to meet the increasing demand for pharmacy support in specialty care is discussed.

Summary
The workflow incorporated key activities from highly diverse existing specialty pharmacy, ambulatory care pharmacy, and specialty clinic practices. Standard processes were developed for patient identification, referral placement, visit scheduling, encounter documentation, medication fulfillment, and clinical follow-up. Resources were created or optimized to support successful implementation, including an electronic pharmacy referral, specialty collaborative practice agreements to facilitate pharmacist-led comprehensive medication management, and a standardized note template. Communication strategies were developed to facilitate feedback and process updates. Enhancements focused on eliminating documentation redundancies and delegating nonclinical tasks to a dedicated ambulatory care pharmacy technician. The workflow was implemented in 5 ambulatory rheumatology, digestive health, and infectious diseases clinics. Pharmacists utilized this workflow to complete 1,237 patient visits, serving 550 individual patients over 11 months.

Conclusion
This initiative created a standard workflow to support an interdisciplinary standard of specialty patient care that is robust to accommodate planned expansion. This workflow implementation approach can serve as a road map for other healthcare systems with integrated specialty and ambulatory pharmacy departments undertaking similar models for specialty patient management.
Cortico-muscular coherence in primary lateral sclerosis reveals abnormal cortical engagement during motor function beyond primary motor areas
Authors: Bista Saroj , Coffey Amina , Fasano Antonio , Buxo Teresa , Mitchell Matthew , Giglia Eileen Rose , Dukic Stefan , Heverin Mark , Muthuraman Muthuraman , Carson Richard G , Lowery Madeleine , Hardiman Orla , McManus Lara , Nasseroleslami Bahman 
Published: May 2023

Abstract
Primary lateral sclerosis (PLS) is a slowly progressing disorder, which is characterized primarily by the degeneration of upper motor neurons (UMNs) in the primary motor area (M1). It is not yet clear how the function of sensorimotor networks beyond M1 are affected by PLS. The aim of this study was to use cortico-muscular coherence (CMC) to characterize the oscillatory drives between cortical regions and muscles during a motor task in PLS and to examine the relationship between CMC and the level of clinical impairment. We recorded EEG and EMG from hand muscles in 16 participants with PLS and 18 controls during a pincer-grip task. In PLS, higher CMC was observed over contralateral-M1 (α- and γ-band) and ipsilateral-M1 (β-band) compared with controls. Significant correlations between clinically assessed UMN scores and CMC measures showed that higher clinical impairment was associated with lower CMC over contralateral-M1/frontal areas, higher CMC over parietal area, and both higher and lower CMC (in different bands) over ipsilateral-M1. The results suggest an atypical engagement of both contralateral and ipsilateral M1 during motor activity in PLS, indicating the presence of pathogenic and/or adaptive/compensatory alterations in neural activity. The findings demonstrate the potential of CMC for identifying dysfunction within the sensorimotor networks in PLS.
Algorithms of time: how algorithmic management changes the temporalities of work and prospects for working time reduction
Authors: Piasna Agnieszka 
Published: May 2023

Abstract
Algorithmic management has a clear potential to reduce time spent at work by increasing efficiency in task allocation and performance, and by replacing some forms of human labour. As a result it should, in theory, advance the implementation of working time reduction policies. Automation of organisational functions indeed increases time-efficiency through the scheduling of work in more finely grained time units, closely matched with demand and the minimising of unproductive periods. This results in atomised and punctuated working time. However, instead of an increase in leisure time, workers who are managed algorithmically experience pressures towards incessant availability. This results in an apparent paradox whereby the time needed to complete paid work shrinks, but the time that must be made available for work expands. This article addresses this puzzle by developing an analytical approach to understanding changes to the temporalities of work ushered by the introduction and expansion of algorithmic management.
A geometric Chung–Lu model and the Drosophila medulla connectome
Authors: Agarwala Susama , Kenter Franklin 
Published: May 2023

Abstract
Many real-world graphs have edges correlated to the distance between them, but in an inhomogeneous manner. While the Chung–Lu model and the geometric random graph models both are elegant in their simplicity, they are insufficient to capture the complexity of these networks. In this article, we develop a generalized geometric random graph model that preserves many graph theoretic aspects of these real-world networks. We test the validity of this model on a graphical representation of the Drosophila medulla connectome.
Syngnathoid Evolutionary History and the Conundrum of Fossil Misplacement
Authors: Brownstein C D 
Published: May 2023

Synopsis
Seahorses, pipefishes, trumpetfishes, shrimpfishes, and allies are a speciose, globally distributed clade of fishes that have evolved a large number of unusual body plans. The clade that includes all these forms, Syngnathoidei, has become a model for the study of life history evolution, population biology, and biogeography. Yet, the timeline of syngnathoid evolution has remained highly contentious. This debate is largely attributable to the nature of the syngnathoid fossil record, which is both poorly described and patchy for several major lineages. Although fossil syngnathoids have been used to calibrate molecular phylogenies, the interrelationships of extinct species and their affinities to major living syngnathoid clades have scarcely been quantitatively tested. Here, I use an expanded morphological dataset to reconstruct the evolutionary relationships and clade ages of fossil and extant syngnathoids. Phylogenies generated using different analytical methodologies are largely congruent with molecular phylogenetic trees of Syngnathoidei but consistently find novel placements for several key taxa used as fossil calibrators in phylogenomic studies. Tip-dating of the syngnathoid phylogeny finds a timeline for their evolution that differs slightly from the one inferred using molecular trees but is generally congruent with a post-Cretaceous diversification event. These results emphasize the importance of quantitatively testing the relationships of fossil species, particularly when they are critical to assessing divergence times.
A review of hybrid physics-based machine learning approaches in traffic state estimation
Authors: Zhang Zhao , Yang Xianfeng Terry , Yang Hao 
Published: May 2023

Abstract
Traffic state estimation (TSE) plays a significant role in traffic control and operations since it can provide accurate and high-resolution traffic estimations for locations without traffic states are measured with partially observed or flawed traffic data. Several comprehensive survey papers in recent years have summarized classical physics-based and pure data-driven approaches in TSE and found that both approaches have limitations on accurately modeling traffic states. Hence, a paradigm of hybrid physics-based machine learning (ML) method has been extensively developed to overcome this problem recently. However, there is not a clear understanding of the challenges specific and research gap of hybrid physics-based ML method in TSE. In this article, we provide a comprehensive survey of existing hybrid physics-based ML methods for TSE problem. This survey leads us to uncover inherent challenges and gaps in the current state of research. The results have profound implications for evaluating the applicability of hybrid physics-based ML TSE methods and identifying future research directions.