bluuebunny/crossref_metadata_2025_split huggingface dataset:
The properties of perovskite solar cells with novel MAPbBr3/CsPbBr3 double absorber
Authors: He Bolong , Liu Linlin , Hu Jialong , Nie Shu , Chen Yihui , Chen Yonsheng 
Published: October 2022

Abstract
Perovskite solar cells (PSCs) based on CsPbBr3 have garnered considerable attention due to their high stability and all-inorganic components. Although thermal annealing is a conventional and effective method to improve the quality of CsPbBr3 films, property improvement strategies are still scarce, especially for the vapor deposition process. In this work, a MAPbBr3 layer is introduced at the TiO2 and CsPbBr3 interface to construct a double-absorber heterojunction structure. It is found that the cubic phase of CsPbBr3 is formed directly on the MAPbBr3 underlayer due to the epitaxial growth. Furthermore, the heterojunction formed at the MAPbBr3/CsPbBr3 interface contributes to the superior extraction of the light-generated carriers. A power conversion efficiency (PCE) of 6.53% is obtained for the PSC with a double-absorber design. Despite the thickness of the epitaxial layer being shrunken after annealing at 150 °C for 30 min, a PCE of 5.90% is achieved, indicating the high thermal stability of the double-absorber device. Our work provides a new insight into quality engineering for the perovskite deposited by the vapor deposition process.
Inverse design of a topological phononic beam with interface modes
Authors: Muhammad  , Ogun Oluwaseyi , Kennedy John 
Published: October 2022

Abstract
Inspired by the idea of topological mechanics and geometric phase, the topological phononic beam governed by topological invariants has seen growing research interest due to generation of a topologically protected interface state that can be characterized by geometric Zak phase. The interface mode has maximum amount of wave energy concentration at the interface of topologically variant beams with minimal losses and decaying wave energy fields away from it. The present study has developed a deep learning based autoencoder (AE) to inversely design topological phononic beam with invariants. By applying the transfer matrix method, a rigorous analytical model is developed to solve the wave dispersion relation for longitudinal and bending elastic waves. By determining the phase of the reflected wave, the geometric Zak phase is determined. The developed analytical models are used for input data generation to train the AE. Upon successful training, the network prediction is validated by finite element numerical simulations and experimental test on the manufactured prototype. The developed AE successfully predicts the interface modes for the combination of topologically variant phononic beams. The study findings may provide a new perspective for the inverse design of metamaterial beam and plate structures in solid and computational mechanics. The work is a step towards deep learning networks suitable for the inverse design of phononic crystals and metamaterials enabling design optimization and performance enhancements.
A reference-free MEAM potential for α-Fe and γ-Fe
Authors: Slooter Rutger J , Sluiter Marcel H F , Kranendonk Winfried G T , Bos Cornelis 
Published: October 2022

Abstract
A reference-free modified embedded atom method (RF-MEAM) potential for iron has been constructed. The new potential is made to predict both bcc and fcc (α-Fe and γ-Fe) lattice properties, with a special interest in modelling in the 800–1300 K temperature range. This is the range in which transformations and key processes in steel occur. RF-MEAM potentials can be used directly in commonly used molecular dynamics simulation software (e.g. LAMMPS). The new potential is compared to several other (M)EAM potentials which are commonly used. It is demonstrated that the new potential combines good characteristics for point defect energies with free surface and stacking fault energies. Also the Nishiyama–Wassermann and Kurdjumov–Sachs orientation relation ratios and interface energies are reproduced, allowing for simulations of α-Fe and γ-Fe interphases.
Comparing wire-mesh sensor with neutron radiography for measurement of liquid fraction in foam
Authors: Ziauddin M , Schleicher E , Trtik P , Knüpfer L , Skrypnik A , Lappan T , Eckert K , Heitkam S 
Published: October 2022

Abstract
The liquid fraction of foam is an important quantity in engineering process control and essential to interpret foam rheology. Established measurement tools for the liquid fraction of foam, such as optical measurement or radiography techniques as well as weighing the foam, are mostly laboratory-based, whereas conductivity-based measurements are limited to the global measurement without detailed spatial information of liquid fraction. In this work, which combines both types of measurement techniques, the conductivity-based wire-mesh sensor is compared with neutron radiography. We found a linear dependency between the liquid fraction of the foam and the wire-mesh readings with a statistical deviation less than 15%. However, the wire-mesh sensor systematically overestimates the liquid fraction, which we attribute to liquid bridge formation between the wires.
Selective triggering in-plane and out-of-plane dipolar modes of hexagonal Au nanoplate with the polarization of excitation beam
Authors: Zhang Hanmou , Wang Qifa , Hou Liping , Xiao Fajun , Zhao Jianlin 
Published: October 2022

Abstract
The dipolar responses of a single hexagonal Au nanoplate are investigated under the illuminations of linearly polarized beam and tightly focused radially polarized beam (RPB). It is found from the scattering spectra that the in-plane and out-of-plane electric dipole modes can be selectively triggered with a linearly polarized beam and tightly focused RPB, respectively. The features of these two dipolar modes are further confirmed in terms of electrical field and charge maps by the finite-difference time-domain simulation. Additionally, using the multipole expansion method, the existence of the out-of-plane dipole mode is further verified by the fact that the z-component of electric dipole response has a dominant contribution to the scattered power. Moreover, by combining the back focal plane imaging technique with the simulation, the appearance of in-plane and out-of-plane dipoles in the scattering pattern are clearly discerned. Our results provide an efficient method for selectively exciting the in-plane and out-of-plane dipolar modes of the nanoplate. We envision that the ease of tuning the dipolar momentum may facilitate the enhancement of the interaction between the plasmon and emitters at single-particle level.
The PRISM semantic cohort builder: a novel tool to search and access clinical data in TCIA imaging collections
Authors: Bona Jonathan P , Utecht Joseph , Bost Sarah , Brochhausen Mathias , Prior Fred 
Published: October 2022

Abstract
The cancer imaging archive (TICA) receives and manages an ever-increasing quantity of clinical (non-image) data containing valuable information about subjects in imaging collections. To harmonize and integrate these data, we have first cataloged the types of information occurring across public TCIA collections. We then produced mappings for these diverse instance data using ontology-based representation patterns and transformed the data into a knowledge graph in a semantic database. This repository combined the transformed instance data with relevant background knowledge from domain ontologies. The resulting repository of semantically integrated data is a rich source of information about subjects that can be queried across imaging collections. Building on this work we have implemented and deployed a REST API and a user-facing semantic cohort builder tool. This tool allows allow researchers and other users to search and identify groups of subject-level records based on non-image data that were not queryable prior to this work. The search results produced by this interface link to images, allowing users to quickly identify and view images matching the selection criteria, as well as allowing users to export the harmonized clinical data.
Recent advances in psychoradiology
Authors: Luo Lekai , You Wanfang , DelBello Melissa P , Gong Qiyong , Li Fei 
Published: October 2022

Abstract
Psychiatry, as a field, lacks objective markers for diagnosis, progression, treatment planning, and prognosis, in part due to difficulties studying the brain in vivo, and diagnoses are based on self-reported symptoms and observation of patient behavior and cognition. Rapid advances in brain imaging techniques allow clinical investigators to noninvasively quantify brain features at the structural, functional, and molecular levels. Psychoradiology is an emerging discipline at the intersection of psychiatry and radiology. Psychoradiology applies medical imaging technologies to psychiatry and promises not only to improve insight into structural and functional brain abnormalities in patients with psychiatric disorders but also to have potential clinical utility. We searched for representative studies related to recent advances in psychoradiology through May 1, 2022, and conducted a selective review of 165 references, including 75 research articles. We summarize the novel dynamic imaging processing methods to model brain networks and present imaging genetics studies that reveal the relationship between various neuroimaging endophenotypes and genetic markers in psychiatric disorders. Furthermore, we survey recent advances in psychoradiology, with a focus on future psychiatric diagnostic approaches with dimensional analysis and a shift from group-level to individualized analysis. Finally, we examine the application of machine learning in psychoradiology studies and the potential of a novel option for brain stimulation treatment based on psychoradiological findings in precision medicine. Here, we provide a summary of recent advances in psychoradiology research, and we hope this review will help guide the practice of psychoradiology in the scientific and clinical fields.
Optimizing breakdown voltage and on-state resistance by modulating the barrier height along 2DEG channel for power p-GaN HEMTs
Authors: Xin Yajie , Chen Wanjun , Sun Ruize , Liu Chao , Xia Yun , Wang Fangzhou , Deng Xiaochuan , Li Zhaoji , Zhang Bo 
Published: October 2022

Abstract
This article proposes a novel step-type gate p-GaN HEMT (STG-HEMT) to optimize breakdown voltage (BV) and on-state resistance (R
ON) by modulating the barrier height along the two-dimensional electron gas (2DEG) channel. The step-type gate consists of thicker and thinner p-GaN layers. At off-state, the barrier height is higher due to the clamping potential effect induced by the thinner p-GaN layer, which contributes to improving BV. At on-state, the barrier height under the thinner p-GaN layer is lower, which contributes to improving 2DEG density under the gate (namely reducing R
ON). Verified by the calibrated simulation, the results show STG-HEMT’s BV is increased by 55% and STG-HEMT’s R
ON is decreased by 20% compared with the conventional power p-GaN HEMT (C-HEMT). At transient behavior, the total switching loss keeps nearly unchanged, while the gate driver loss is increased by about 19%. Furthermore, the impact of the gate length and p-GaN layer’s parameters (including thickness, length, activated Mg doping density) on R
ON, BV, and threshold voltage are discussed.
Design and performance analysis of GaN vertical JFETs with ion-implanted gates
Authors: Stein Shane R , Khachariya Dolar , Pavlidis Spyridon 
Published: October 2022

Abstract
We present a comprehensive performance analysis of vertical GaN JFETs via TCAD simulation with unique considerations for gates formed by Mg ion implantation into GaN. The dependence of the specific ON-resistance and pinch-off voltage on the gate and channel design parameters is first evaluated for a JFET with abrupt gate-channel junctions. Then, the influence of the gate acceptor concentration and distribution is studied to elucidate the consequences of incomplete acceptor activation or acceptor diffusion resulting from specialized post-implantation annealing techniques necessary for the activation of p-GaN. Examples of normally-ON and normally-OFF designs with 1.7 kV breakdown voltage for 1.2 kV applications are chosen for the activation and diffusion studies to demonstrate how the pinch-off and conduction characteristics are affected for different channel widths and doping concentrations conducive to each type of operation. Record low specific ON-resistance below 1 mΩ cm2 is predicted for both, but gate acceptor diffusion increases the channel resistance, especially for JFETs designed to be normally-OFF.
Large-scale phase retrieval from coded diffraction patterns with electrically tunable lens
Authors: Zhang Cheng , Zhang Liru , Wang Meiqin , Zhang Ru , Chen Mingsheng , Wei Sui 
Published: October 2022

Abstract
General optical detection devices rely on converting photons to electrons (current), and do not allow for direct recording of the phase due to the high oscillation frequency. As so, the missing phase can only be recovered from the intensity measurements. The emerging non-convex phase retrieval algorithm, represented by the Wirtinger Flow (WF) algorithm requires multiple-shot coded diffraction patterns (CDPs) for accurate recovery. To achieve the real-time acquisition for multiple CDPs, this paper proposes a 4f imaging system based on an electrically tunable lens (ETL), which can be used for real-time acquisition of multiple-shot CDPs, and can take the advantages of highspeed, high-resolution, extended depth-of-field, high-sensitivity and low-cost imaging. In this paper, the performance of 4f-ETL based imaging system for phase retrieval with multiple CDPs is compared under different iteration times, different object size, different numbers of masks and different noise levels. Numerical experiments demonstrate the effectiveness and superiority of our proposed ETL-based imaging system, and ETL allows variable-distance focusing of imaging and display systems without mechanical structures, which reduces the mechanical complexity and power consumption, improves acquisition speed.
Unveiling dark fifth forces with linear cosmology
Authors: Archidiacono Maria , Castorina Emanuele , Redigolo Diego , Salvioni Ennio 
Published: October 2022

Abstract
We initiate the exploration of the cosmology of dark fifth forces: new forces acting
solely on Dark Matter. We focus on long range interactions which lead to an effective violation of
the Equivalence Principle on cosmological scales today. At the microscopic level, the dark fifth
force can be realized by a light scalar with mass smaller than the Hubble constant today
(≲ 10-33 eV) coupled to Dark Matter. We study the behavior of the background
cosmology and linear perturbations in such a Universe. At the background level, the new force
modifies the evolution of the Dark Matter energy density and thus the Hubble flow. At linear
order, it modifies the growth of matter perturbations and generates relative density and velocity
perturbations between Dark Matter and baryons that grow over time. We derive constraints from
current CMB and BAO data, bounding the strength of the dark fifth force to be less than a percent
of gravity. These are the strongest constraints to date. We present potential implications of this
scenario for the Hubble tension and discuss how our results are modified if the light scalar
mediator accounts for the observed density of the Dark Energy. Finally, we comment on the
interplay between our constraints and searches for violations of the Equivalence Principle in the
visible sector.
Palatini R
2 quintessential inflation
Authors: Dimopoulos Konstantinos , Karam Alexandros , Sánchez López Samuel , Tomberg Eemeli 
Published: October 2022

Abstract
We construct a model of quintessential inflation in Palatini R
2 gravity employing a
scalar field with a simple exponential potential and coupled to gravity with a running non-minimal
coupling. At early times, the field acts as the inflaton, while later on it becomes the current
dark energy. Combining the scalar sector with an ideal fluid, we study the cosmological evolution
of the model from inflation all the way to dark energy domination. We interpret the results in the
Einstein frame, where a coupling emerges between the fluid and the field, feeding energy from the
former to the latter during the matter-dominated era. We perform a numerical scan over the
parameter space and find points that align with observations for both the inflationary CMB data
and the late-time behaviour. The final dark energy density emerges from an interplay between the
model parameters, without requiring the extreme fine-tuning of the cosmological constant in
ΛCDM.
NiCo2O4@V2O5 nanobelts as electrode materials for efficient electrochemical charge storage
Authors: Mohapatra Dillip Kumar , Sahoo Malaya K , Praharaj Swetapadma , Rout Dibyaranjan 
Published: October 2022

Abstract
The development of novel nanostructured composites is of current interest for applications as electrode materials. In this regard, an attempt has been made to synthesize NiCo2O4@V2O5 nanocomposite and compare its charge storage performance with pristine NiCo2O4 nanoparticles. High-resolution scanning electron microscope micrographs reveal a mesoporous nanobelt like morphology of the nanocomposite with a Brunauer–Emmett–Teller surface area of ∼65 m2 g−1 and average mesopore size centered on ∼7.55 nm. Electrochemical measurements performed on both samples anticipate capacitive behavior with quasi-reversible redox reactions. However, NiCo2O4@V2O5 is found to demonstrate a strikingly high specific capacity of 194 mAh g−1 at 1 A g−1 along with a notable capacity retention of ∼90%, even after 3000 charge–discharge cycles, and a Coulombic efficiency >97% at 5 A g−1. These features are much superior to the properties of pristine NiCo2O4 nanoparticles. The results obtained in this work ascertain the functional robustness of NiCo2O4@V2O5 nanocomposites as electrode materials in supercapacitors.
Ripple formation with intense Gaussian femtosecond laser pulses close to the damage threshold
Authors: Teubner U , Andreev A , Makin V , Imgrunt J 
Published: October 2022

Abstract
The formation of laser-induced periodic surface structures (LIPSS or ripples) is a topic that has been investigated for almost 60 years. More recently with the advent of ultrashort laser pulses this subject has regained interest, in particular, due to interaction regimes that have not been present so far. Consequently a lot of work has been done in that field, especially with comprehensive experimental and theoretical investigations of the scaling of ripple parameters on laser pulse duration, wavelength, applied fluence, shot number and so on. However, there are still a lot of questions. The present work addresses an important issue on that subject. In particular, ripple formation is investigated at high laser intensity, namely at an intensity sufficiently large to generate a femtosecond-laser induced plasma. Thus ripple formation occurs close to damage threshold. Experimental results and theoretical discussion of ripple formation and the interrelation to laser pulse energy deposition, energy transport and sample damage originating from the optical interaction and additional thermal effects, respectively, are discussed. Most important, a reduction of ripple formation threshold with laser intensity and fluence, respectively, has been observed which is associated by a super-linear increase of the ripple area. The scaling of this reduction with laser fluence obtained from theoretical estimates is in good agreement with the experimental data.
GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology
Authors: Groth Theodore , Diehl Alexander D , Gunawan Rudiyanto , Neelamegham Sriram 
Published: October 2022

Abstract

Motivation
The ‘glycoEnzymes’ include a set of proteins having related enzymatic, metabolic, transport, structural and cofactor functions. Currently, there is no established ontology to describe glycoEnzyme properties and to relate them to glycan biosynthesis pathways.

Results
We present GlycoEnzOnto, an ontology describing 403 human glycoEnzymes curated along 139 glycosylation pathways, 134 molecular functions and 22 cellular compartments. The pathways described regulate nucleotide-sugar metabolism, glycosyl-substrate/donor transport, glycan biosynthesis and degradation. The role of each enzyme in the glycosylation initiation, elongation/branching and capping/termination phases is described. IUPAC linear strings present systematic human/machine-readable descriptions of individual reaction steps and enable automated knowledge-based curation of biochemical networks. All GlycoEnzOnto knowledge is integrated with the Gene Ontology biological processes. GlycoEnzOnto enables improved transcript overrepresentation analyses and glycosylation pathway identification compared to other available schema, e.g. KEGG and Reactome. Overall, GlycoEnzOnto represents a holistic glycoinformatics resource for systems-level analyses.

Availability and implementation
https://github.com/neel-lab/GlycoEnzOnto.

Supplementary information
Supplementary data are available at Bioinformatics online.
Effects of an educational intervention for rational cardiac enzyme requisitions in critically ill patients: a pre–post intervention study
Authors: Tedesco Natália sarracceni , Pinheiro Frederico Augusto Gurgel , Vieira Júnior José mauro , Taniguchi Leandro Utino 
Published: October 2022

Abstract

Background
Although cardiac troponin is recommended as the biomarker of choice to evaluate myocardial injury, inappropriate low-value ordering practice is frequent, particularly routine ordering of creatine kinase–myocardial band (CK-MB) tests where troponin is available.

Objective
The aim of this study was to evaluate the impact of an educational intervention for rational request of cardiac biomarkers in the intensive care unit.

Method
We conducted a quasi-experimental, pre–post implementation study of an educational program (expository-dialogue presentation and disclosure of a decision algorithm) for rational cardiac biomarker testing in adult critically ill patients. The study was divided into two 12-month periods: pre-intervention (September 2017–August 2018) and post-intervention (October 2018–September 2019). An interrupted time series with a segmented regression model was applied to analyze variation over time in CK-MB and troponin testing.

Results
We included 4429 patients: 2181 patients in the pre-intervention period and 2248 patients in the post-intervention period. A reduction in the concomitance of CK-MB and troponin testing was observed (concomitance in 1415 tests in the pre-intervention period vs 348 tests in the post-intervention period). The interrupted time series analysis demonstrated a noticeable immediate reduction in the concomitance of CK-MB with troponin after the intervention (−0.13 tests per patient, P = 0.0016) but not in the secular trend for the concomitance. The proportion of patients with the acute coronary syndrome as a discharge diagnosis was not different between the pre- and post-intervention period.

Conclusion
Our pre–post interventional study demonstrated a significant decrease in the concomitance of CK-MB and troponin tests. A rational high-value ordering practice of cardiac biomarkers is possible in critically ill patients and might be suitable for educational interventions.