bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparison of the threshold concentrations of DCD, DMPP and nitrapyrin to reduce urinary nitrogen nitrification rates on pasture soils – a laboratory study
Authors: Chibuike Grace , Palmada Thilak , Saggar Surinder , Giltrap Donna , Luo Jiafa 
Published: August 2022

Context Using nitrification inhibitors (NIs) for the targeted management of urine patches, to reduce nitrous oxide (N2O) emissions, requires determining the threshold concentrations of the NIs in urine for effective nitrification inhibition. Aims This study comparatively assessed the threshold concentrations of three NIs: dicyandiamide (DCD), 3,4-dimethylpyrazole phosphate (DMPP) and 2-chloro-6-(trichloromethyl) pyridine (nitrapyrin) to reduce urinary nitrogen (N) nitrification rates on two contrasting pasture soils. Methods Four rates of each NI (3–27 mg DCD kg−1 soil, 1–13 mg DMPP kg−1 soil and 1–14 mg nitrapyrin kg−1 soil) were added to urine-amended soils and incubated at laboratory room temperature. The amended soils were sampled periodically to monitor changes in mineral-N concentrations. Key results The threshold concentration of DCD (3 mg kg−1 soil, lowest rate tested) was lower than that of nitrapyrin (5–7 mg kg−1 soil) and DMPP (13 mg kg−1 soil, highest rate tested) on both soils. Greater NI effectiveness corresponded to greater NI persistence, with higher (P < 0.05) half-life values observed for DCD (16 ± 2 days, mean ± s.e.) compared with nitrapyrin (10 ± 2 days) and DMPP (9.2 ± 0.3 days). All three NIs persisted longer (P < 0.05) with higher application rates. Conclusions Compared with DCD and nitrapyrin, a higher DMPP concentration was required to effectively inhibit urinary N nitrification rates in the pasture soils. Implications Choosing the ideal application rate of NIs to inhibit nitrification under field condition, and hence mitigate N2O emissions from urine patches, requires consideration of the factors that affect NI loss.
Unsupervised knowledge-transfer for learned image reconstruction*
Authors: Barbano Riccardo , Kereta Željko , Hauptmann Andreas , Arridge Simon R , Jin Bangti 
Published: August 2022

Abstract
Deep learning-based image reconstruction approaches have demonstrated impressive empirical performance in many imaging modalities. These approaches usually require a large amount of high-quality paired training data, which is often not available in medical imaging. To circumvent this issue we develop a novel unsupervised knowledge-transfer paradigm for learned reconstruction within a Bayesian framework. The proposed approach learns a reconstruction network in two phases. The first phase trains a reconstruction network with a set of ordered pairs comprising of ground truth images of ellipses and the corresponding simulated measurement data. The second phase fine-tunes the pretrained network to more realistic measurement data without supervision. By construction, the framework is capable of delivering predictive uncertainty information over the reconstructed image. We present extensive experimental results on low-dose and sparse-view computed tomography showing that the approach is competitive with several state-of-the-art supervised and unsupervised reconstruction techniques. Moreover, for test data distributed differently from the training data, the proposed framework can significantly improve reconstruction quality not only visually, but also quantitatively in terms of PSNR and SSIM, when compared with learned methods trained on the synthetic dataset only.
Full optical preparation of an absolute ground-state ultracold CsYb molecule via laser-assisted self-induced Feshbach resonance
Authors: Sun Zhi-Xin , Lyu Bing-Kuan , Wang Gao-Ren , Cong Shu-Lin 
Published: August 2022

Abstract
We investigate theoretically the formation of an ultracold CsYb molecule in the absolute ground state by full optical control. The laser-assisted self-induced Feshbach resonance takes place when the trap state in the optical lattice is coupled with a rovibrational state of the ground electronic state. The Feshbach molecule is formed in the resonant rovibrational state via an adiabatic population transfer by ramping the frequency of a chirped pulse. Two schemes are designed to prepare the absolute ground-state molecule starting from the Feshbach molecule: a pump–dump scheme controlled by short pulses and a stimulated-Raman-adiabatic-passage (STIRAP) scheme steered by long pulses. The probabilities of converting the Feshbach molecule to the absolute ground state molecule by using the pump–dump and the STIRAP schemes are 16% and 99%, respectively.
Explicit temperature coupling in phase-field crystal models of solidification
Authors: Punke Maik , Wise Steven M , Voigt Axel , Salvalaglio Marco 
Published: August 2022

Abstract
We present a phase-field crystal model for solidification that accounts for thermal transport and a temperature-dependent lattice parameter. Elasticity effects are characterized through the continuous elastic field computed from the microscopic density field. We showcase the model capabilities via selected numerical investigations which focus on the prototypical growth of two-dimensional crystals from the melt, resulting in faceted shapes and dendrites. This work sets the grounds for a comprehensive mesoscale model of solidification including thermal expansion.
Polarization improvement of perovskite nanowire composite films by mechanical stretching method
Authors: Zhang Sihan , Xiao Kaiwen , Zhang Yu , Ji Yucong , Wang Jiaxin , Chen Jun 
Published: August 2022

Abstract
Perovskite nanowires (NWs) have attracted considerable interest because of their excellent polarization properties. In this work, we first synthesized colloidal lead halide CsPbBr3 NWs with suitable lengths and excellent polarization performance by the method of the thermal injection. By embedding the NWs in polyvinyl alcohol (PVA) to prepare practical a polymer composite and combining it with the mechanical stretching method, we achieved films with higher polarizing properties. The optimized stretched composite film achieved a polarization degree of 0.4992, which is superior to that of the unstretched one. The stretched PVA molecules are arranged in a straight line, which absorbs the polarized light parallel to the alignment direction, and only allows the polarized light in the vertical direction to pass through. Therefore, the arrangement of the spin-coated NWs combined with the arrangement direction of the PVA molecules led to an improvement in the polarization performance of the composite film. The NWs-PVA-stretched composite films will show important application value in the manufacture of next-generation polarization-sensitive optoelectronic devices and other fields.
Direct mapping from PET coincidence data to proton-dose and positron activity using a deep learning approach
Authors: Rahman Atiq Ur , Nemallapudi Mythra Varun , Chou Cheng-Ying , Lin Chih-Hsun , Lee Shih-Chang 
Published: August 2022

Abstract

Objective. Obtaining the intrinsic dose distributions in particle therapy is a challenging problem that needs to be addressed by imaging algorithms to take advantage of secondary particle detectors. In this work, we investigate the utility of deep learning methods for achieving direct mapping from detector data to the intrinsic dose distribution. Approach. We performed Monte Carlo simulations using GATE/Geant4 10.4 simulation toolkits to generate a dataset using human CT phantom irradiated with high-energy protons and imaged with compact in-beam PET for realistic beam delivery in a single-fraction (∼2 Gy). We developed a neural network model based on conditional generative adversarial networks to generate dose maps conditioned on coincidence distributions in the detector. The model performance is evaluated by the mean relative error, absolute dose fraction difference, and shift in Bragg peak position. Main results. The relative deviation in the dose and range of the distributions predicted by the model from the true values for mono-energetic irradiation between 50 and 122 MeV lie within 1% and 2%, respectively. This was achieved using 105 coincidences acquired five minutes after irradiation. The relative deviation in the dose and range for spread-out Bragg peak distributions were within 1% and 2.6% uncertainties, respectively. Significance. An important aspect of this study is the demonstration of a method for direct mapping from detector counts to dose domain using the low count data of compact detectors suited for practical implementation in particle therapy. Including additional prior information in the future can further expand the scope of our model and also extend its application to other areas of medical imaging.
Reduction of pulsed particle load with dynamic pressure induced by transient recycled neutral flux
Authors: Hayashi Yuki , Tanaka Hirohiko , Ohno Noriyasu , Kajita Shin , Morgan Thomas , van der Meiden Hennie , Scholten John , Vernimmen Jordy , Natsume Hiroki , Sawada Keiji , Masuda Shota 
Published: August 2022

Abstract
From pulsed plasma experiments focusing on neutral pressure dependence, the impacts of a transition from a low to a high recycling target on the particle load were investigated and discussed in the linear plasma device, Magnum-PSI. Time traces of the target ion flux were mitigated in high neutral pressure cases because of a plasma-neutral interaction. On the other hand, in low neutral-pressure cases, the target ion flux indicated partial suppression in the last part of the pulse. The Langmuir probe, located 200 mm upstream from the target plate, did not exhibit such a suppression. Pulse suppression can be expected from the localized interaction between recycled neutral flux and pulsed plasma in front of the target. The mean-free paths of recycled neutral particles regarding the charge exchange with pulse ions and elastic scattering with background neutral particles were compared. Modeling using a fluid code coupled with a neutral transport code was performed, and it was concluded that dynamic pressure induced by the transient recycled neutral flux caused sufficient momentum loss to stagnate the pulsed plasma toward the target plate.
A single-layer less-wires stretchable wearable keyboard based on pressure switch conductive textile
Authors: Zhang Youzhi , Zou Jinjun , Wang Haojie , Zhou Chao , Chen Xizhang 
Published: August 2022

Abstract
The development of lightness, less wires and stretchable wearable devices is an emerging technological goal in human-computer interaction. Conductive textiles attract a great deal of interest as versatile materials for wearable devices. Although high-performance wearable devices based on multi-layer textile are widely studies, the large thickness and number of wires are still a major obstacle in large-area application. In this study, a novel pressure switch conductive (PSC) textile keyboard with single-layer structure is developed. The PSC textile keyboard is lightness, stretchable and only has four wires. Benefit from the soft, lightness and breathable of the PSC textile, the PSC textile keyboard naturally has excellent wearability. The application examples of integrating the PSC textile keyboard into lab coat and glove, wrapping on 3D object surface for touch perception are demonstrated. And the PSC textile keyboard can still work effectively even when it is folded into three layers. This study shows that the PSC textile keyboard has great potential in the fields of wearable devices and human–computer interface.
Simple design of a six-band terahertz perfect metasurface absorber based on a single resonator structure
Authors: Cheng Yongzhi , Zhao Jingcheng 
Published: August 2022

Abstract
In this paper, we present a simple design of six-band terahertz (THz) perfect metasurface absorber (PMSA) composed of a single circular-split-ring (CSR) structure placed over a ground-plane by a dielectric substrate. The average absorbance of 99.1% at six distinct frequencies can be obtained for the proposed PMSA under normal incident THz wave. The distribution characteristics of electric field reveal that the six absorption peaks of the proposed PMSA mainly originate from the combination of the higher-order localized surface plasmon (LSP) and propagating surface plasmon (PSP) resonance modes. Moreover, the influences of geometric parameters on the resonance absorption properties of PMSA were investigated numerically. Owing to its excellent properties, this design of the six-band PMSA may have potential applications in imaging, sensing and detection.
Clustering effect in description of the alpha and heavier decay half-life
Authors: Dagtas R , Bayrak O 
Published: August 2022

Abstract
We examine the alpha and heavier cluster decay half-lives of the nuclei for 87 ≤ Z ≤ 96 using the analytical formula obtained by the Wentzel-Kramers-Brilliouin (WKB) method within the framework of the cluster model for the modified harmonic oscillator and spherical Coulomb potential. We correlate the clustering effect in the nuclei with the nuclear potential depth only and systematically investigate the alpha and heavier cluster decay half-lives. In addition to half-lives, the branching ratios relative to alpha decay half-lives are also calculated and results are compared with experimental data. The rms deviations of the alpha and cluster decay half-lives show a good agreement with the universal decay law (UDL), Horoi and one single line of universal (UNIV) curve models. Utilizing the optimized cluster model parameters, we also predict the half-lives of 14C, 20O, 24,25Ne, 28,30Mg and 32Si cluster emissions from various isotopes for guiding future experiments.
Testing black holes in non-linear electrodynamics from the observed quasi-periodic oscillations
Authors: Banerjee Indrani 
Published: August 2022

Abstract
Quasi-periodic oscillations (QPOs), in particular, the ones with high frequencies, often observed in the power spectrum of black holes, are useful in understanding the nature of strong gravity since they are associated with the motion of matter in the vicinity of the black hole horizon. Interestingly, these high frequency QPOs (HFQPOs) are observed in commensurable pairs, the most common ratio being 3:2. Several theoretical models are proposed in the literature which explain the HFQPOs in terms of the orbital and epicyclic frequencies of matter rotating around the central object. Since these frequencies are sensitive to the background spacetime, the observed HFQPOs can potentially extract useful information regarding the nature of the same. In this work, we investigate the role of regular black holes with a Minkowski core, which arise in gravity coupled to non-linear electrodynamics, in explaining the HFQPOs. Regular black holes are particularly interesting as they provide a possible resolution to the singularity problem in general relativity. We compare the model dependent QPO frequencies with the available observations of the quasi-periodic oscillations from black hole sources and perform a χ2 analysis. Our study reveals that most QPO models favor small but non-trivial values of the non-linear electrodynamics charge parameter. In particular, black holes with large values of non-linear electrodynamics charge parameter are generically disfavored by present observations related to QPOs.
Long term operation of the radiation-hard Hall probes system and the path toward a high performance hybrid magnetic field sensor
Authors: Quercia A. , Pironti A. , Bolshakova I. , Holyaka R. , Duran I. , Murari A. , Contributors JET 
Published: August 2022

Abstract
The paper reports a systematic assessment of the radiation-hard Hall probes (RHP) magnetic diagnostic system of the JET tokamak, which is based on InSb semiconductor thin films, and describes the path that lead to the proposal of an innovative magnetic probe concept. A relevant account of RHP operation during the recent deuterium–tritium experimental campaign is also provided, showing correct operation under ITER-like intense neutron flux. The period considered for the systematic assessment of the RHP system ranges from October 2009 to March 2021, during which the machine produced more than 19 000 pulses. The RHP system consists of six three-dimensional Hall probes, which have built-in recalibration capability, thanks to the presence of microsolenoids that produce a local known field during a tailored automatic pre-pulse calibration sequence, that can also be initiated manually. During pulses, the microsolenoids can also be used as inductive sensors as their signals are recorded as well. Moreover, the system provides temperature measurements at the location of the probes, which are continuously recorded too. The assessment demonstrates accurate long-term operation of the RHP system. All the diagnostic channels reliably provide pre-pulse calibration data and pulse signals and the original sensitivities of the Hall sensors are preserved. Integration considerations and a data fusion analysis lead to the proposal of a high performance, compact, broadband, hybrid field probe, consisting of the combination of an inductive coil and a Hall sensor, to be manufactured by means of the coil technology developed for ITER or an alternative concept with improved radiation-hardness. The hybrid probe is expected to deliver the advantages of both inductive and Hall sensing technologies, essentially in the same package size of a single ITER magnetic discrete probe. In particular, it would solve the problem of the drift of the integrator for long lasting burning plasma discharges. The signals produced by the coil and the Hall sensor, processed by means of a Luenberger–Kalman observer, provide a magnetic field measurement which is non-drifting and low-noise. For these reasons, the hybrid probe has been proposed as the potential primary magnetic diagnostic sensor for future burning plasma experiments and demonstration fusion power plants.
Highly efficient spin-polarized beam splitter based on silicon Pancharatnam–Berry metasurface
Authors: Luo Lin , Ouyang Min , Fan Haihua , Dai Qiaofeng , Lu Daquan , Liu Haiying , Lan Sheng 
Published: August 2022

Abstract
The spin-polarized conversion and splitting of beam are highly important for photonic researches and applications. Although the photonic spin Hall effect (PSHE) realized by the Pancharatnam–Berry (PB) metasurface has shown unprecedented capabilities to control spin-polarized light, spin-polarized beam splitting metadevices suffer from the limitations of low-efficiency. Here, we present a highly efficient spin-polarized beam splitter (SPBS) based on PB metasurface comprising silicon nano elliptical cylinder (Si-NEC) arrays. Because of the electromagnetic multipole resonance inside the designed Si-NECs, the PB metasurface can achieve high transmittance and enhanced PSHE. Therefore, the SPBS based on the PB metasurface can achieve a high spin conversion efficiency of nearly 100%, while ensuring a transmittance of 87% at 622 nm wavelength. It can also maintain a good working effect within the bandwidth of 600–660 nm. Furthermore, by introducing spatial shift between the two reverse Si-NEC arrays, the SPBS can also be used to realize 45° polarization rotation of an incident linearly polarized light, avoiding the input polarization angle dependence. Our design may have potential applications in high-performance and broadband spin-photonic devices.
Thermo-electric generation (TEG) enabled cookstoves in a rural Indian community: a longitudinal study of user behaviours and perceptions
Authors: Ahmed Imaduddin , Aier Imlisongla , Murtagh Niamh , Kaushal Priyanka , Lakhanpaul Monica , Vijay Virendra Kumar , Parikh Priti 
Published: August 2022

Abstract

Background. Traditional cookstoves that burn solid biomass are associated with inefficient burning, a high degree of household air pollution and high morbidity rates. A key barrier to the adoption of clean cookstoves has been the cost of fuels. Hence, a Thermo-Electric Generating (TEG) cookstove that used solid biomass fuels more efficiently and released less smoke was developed. The TEG cookstove also generates electricity to power small electric devices. Fifteen TEG cookstoves were distributed to villagers in the Indian state of Uttarakhand in 2019. Objective. We wanted to understand whether, after two years of distribution, TEG cookstoves were still used, what and where they were used for, their perceived impacts on health, and the barriers to their use. Methods used. We surveyed 10 of the 15 recipient households. We applied the Capability, Opportunity, Motivation-Behaviour and Behaviour Change Wheel frameworks to understand what the barriers to adoption were, and what could be done to surmount these. Results. All respondents reported lower smoke levels and most respondents reported that the TEG cookstoves required less fuelwood than their traditional cookstoves, but none had used them in the month prior to the survey. Discussion. For those whose TEG cookstoves were still usable and had not been made redundant by clean cookstoves, we found there to be physical opportunity barriers and psychological capability barriers. Physical opportunity barriers included a small inlet for fuel, limited versatility beyond cooking at low temperatures, and the availability of only one hob. To surmount these barriers, we recommend co-design to suit user needs and education emphasising visible benefits of avoided soot on kitchen walls, in addition to the health benefits.
Publication rates of pharmacy residents involved in a team-based research program
Authors: Bennett Kiya K , Fox Ashley N , Miller Jamie L , Neely Stephen , Dennis Vincent C , Johnson Peter N 
Published: August 2022

Abstract

Purpose
The University of Oklahoma College of Pharmacy (OUCOP) implemented an individualized residency research committee and skill development program to facilitate completion and publication of research projects. The purpose of this study was to evaluate the outcomes the program had on project publication rates and subsequent publications after graduation for postgraduate year 1 (PGY1) and postgraduate year 2 (PGY2) residents.

Methods
This study included OUCOP PGY1 and PGY2 residents from classes graduating from 2011 through 2019. Literature searches for all resident projects and subsequent publications were performed. Data collection included residency type (PGY1 vs PGY2), initial position after residency, and project type. The primary objective was to identify the publication rate of research projects. Secondary objectives included a comparison of the number of publications after residency graduation between residents who did and did not publish their residency project and analysis of factors associated with subsequent publications. Zero-inflated Poisson regression was utilized to analyze subsequent publication status controlling for other factors. Statistical analyses were performed using SAS/STAT with an a priori P value of &lt;0.05.

Results
Eighty-two projects were completed by 73 residents. Forty-three of 82 projects were published (52.4%) by 39 of 73 residents (52.1%). After residency graduation, 54 residents (74.0%) had a subsequent publication. Factors associated with subsequent publications were initial position in an academic role and completion of additional training after residency.

Conclusion
After implementation of the program, the majority of residents published their projects and had subsequent publications. Future efforts should be taken to identify opportunities to foster independence in research and scholarship for residents.