bluuebunny/crossref_metadata_2025_split huggingface dataset:
Broadband and strong visible-light-absorbing cuprous sensitizers for boosting photosynthesis
Authors: Chen Kai-Kai , Qin Chao-Chao , Ding Meng-Jie , Guo Song , Lu Tong-Bu , Zhang Zhi-Ming 
Published: December 2022

Rational construction of broadband and strong visible-light-absorbing (BSVLA) earth-abundant complexes is of great importance for efficient and sustainable solar energy utilization. Herein, we explore a universal Cu(I) center to couple with multiple strong visible-light-absorbing antennas to break the energy level limitations of the current noble-metal complexes, resulting in the BSVLA nonprecious complex (
Cu-3
). Systematic investigations demonstrate that double “ping-pong” energy-transfer processes in
Cu-3
involving resonance energy transfer and Dexter mechanism enable a BSVLA between 430 and 620 nm and an antenna-localized long-lived triplet state for efficient intermolecular electron/energy transfer. Impressively,
Cu-3
exhibited an outstanding performance for both energy- and electron-transfer reactions. Pseudo-first-order rate constant of photooxidation of 1,5-dihydroxynaphthalene with
Cu-3
can achieve a record value of 190.8 × 10
−
3
min
−
1
among the molecular catalytic systems, over 30 times higher than that with a noble-metal photosensitizer (PS) [Ru(bpy)
3
]
2+
. These findings pave the way to develop BSVLA earth-abundant PSs for boosting photosynthesis.
Conditionnel et auxiliairedevoiren français, mêmes fonctionnements évidentiels ?
Authors: Bres Jacques 
Published: December 2022

RésuméLe conditionnel comme l’auxiliairedevoir, dans certains emplois, peuvent signifier l’évidentialité indirecte dans sa double dimension :inférentielleetreportive. Différents travaux ont étudié l’une ou l’autre forme dans l’un ou l’autre de ces emplois. Le présent article est consacré à lacomparaisondes valeurs évidentielles inférentielles d’une part, et reportives d’autre part, développées par ces deux formes.
Xanthomonas citri pv. punicae (Hingorani & Singh) Constantin et al. [Distribution map].
Authors: CABI  , EPPO  
Published: December 2022

Abstract

A new distribution map is provided for Xanthomonas citri pv. punicae (Hingorani & Singh) Constantin et al. Gammaproteobacteria: Lysobacterales: Lysobacteraceae. Host: pomegranate (
Punica granatum
).
Recent progress of two-dimensional heterostructures for thermoelectric applications
Authors: Jia Pin-Zhen , Xie Jia-Ping , Chen Xue-Kun , Zhang Yong , Yu Xia , Zeng Yu-Jia , Xie Zhong-Xiang , Deng Yuan-Xiang , Zhou Wu-Xing 
Published: December 2022

Abstract
The rapid development of synthesis and fabrication techniques has opened up a research upsurge in two-dimensional (2D) material heterostructures, which have received extensive attention due to their superior physical and chemical properties. Currently, thermoelectric energy conversion is an effective means to deal with the energy crisis and increasingly serious environmental pollution. Therefore, an in-depth understanding of thermoelectric transport properties in 2D heterostructures is crucial for the development of micro-nano energy devices. In this review, the recent progress of 2D heterostructures for thermoelectric applications is summarized in detail. Firstly, we systematically introduce diverse theoretical simulations and experimental measurements of the thermoelectric properties of 2D heterostructures. Then, the thermoelectric applications and performance regulation of several common 2D materials, as well as in-plane heterostructures and van der Waals heterostructures, are also discussed. Finally, the challenges of improving the thermoelectric performance of 2D heterostructures materials are summarized, and related prospects are described.
Gaussian convolution decomposition for non-Gaussian shaped pulsed LiDAR waveform
Authors: Fang Jinli , Wang Yuanqing , Zheng Jinji 
Published: December 2022

Abstract
The full waveform decomposition technique is significant for LiDAR ranging. It is challenging to extract the parameters from non-Gaussian shaped waveforms accurately. Many parametric models (e.g. the Gaussian distribution, the lognormal distribution, the generalized normal distribution, the Burr distribution, and the skew-normal distribution) were proposed to fit sharply-peaked, heavy-tailed, and negative-tailed waveforms. However, these models can constrain the shape of the waveform components. In this article, the Gaussian convolution model is established. Firstly, a set of Gaussian functions is calculated to characterize the system waveform so that asymmetric and non-Gaussian system waveforms can be included. The convolution result of the system waveform and the target response is used as the model for fitting the overlapped echo. Then a combination method of the Richardson–Lucy deconvolution, layered iterative, and Gaussian convolution is introduced to estimate the initial parameters. The Levenberg–Marquardt algorithm is used for the optimization fitting. Through experiments on synthetic data and practical recorded coding LiDAR data, we compare the proposed method with two decomposition approaches (Gaussian decomposition and skew-normal decomposition). The experiment results revealed that the proposed method could precisely decompose the overlapped non-Gaussian heavy-tailed waveforms and provide the best ranging accuracy, component fitting accuracy, and anti-noise performance. However, the traditional Gaussian and skew-normal decomposition methods can not fit the components well, resulting in inaccurate range estimates.
Performance research of real-time kinematic/5G combined positioning model
Authors: Li Fangxin , Tu Rui , Han Junqiang , Zhang Shixuan , Liu Mingyue , Lu Xiaochun 
Published: December 2022

Abstract
The global navigation satellite system provides real-time and all-weather positioning with high accuracy. Under a good observational environment, short-baseline real-time kinematic (RTK) can provide centimeter-level positioning results. However, RTK without model correction of ionospheric delay can significantly reduce the positioning accuracy, and cannot achieve fast and high-precision positioning when the baseline is too long or heavily occluded. Therefore, we propose a combined RTK/fifth-generation (5G) mobile communication technology positioning model by combining global positioning system-RTK with 5G time-of-arrival observations to improve the positioning accuracy under medium and long baselines. Experimental validation and analysis were conducted based on the measured data of different baseline lengths. The results revealed that the combined RTK/5G positioning model markedly improved the positioning performance in both static and dynamic modes under medium- and long-distance baselines. In particular, the RTK/5G model can also achieve good positioning results in conditions where some satellites are occluded. The combined RTK/5G positioning model is important for achieving high-accuracy, real-time, and continuous positioning in complex environments.
The highly sensitive ethanol sensor based on nanocomposites of ZnO in situ grown on 2D Ti3C2T
x
nanosheet
Authors: Bu Xiangrui , Wu Qiang , Yuan Yubin , Wu Haiyang , Liu Weihua , Li Xin , Han Chuanyu 
Published: December 2022

Abstract
Ethanol is a harmful volatile organic compound (VOC) for human health. Currently, zinc oxide (ZnO) is one of the most popular metal oxide semiconductors for VOCs detection but suffering from a lack of selectivity, poor response, and slow response/recovery speeds. Herein, we successfully synthesized the ZnO/Ti3C2T
x
nanocomposites via a facile hydrothermal method, in which ZnO nanoparticles were uniformly grown on two-dimensional (2D) Ti3C2T
x
nanosheets. As a result, the ZnO/Ti3C2T
x
nanocomposites showed a significant improvement in the ethanol-sensing performance, when it compared to the pure ZnO and Ti3C2T
x
samples. In particular, ZnO doped with 5 mg of Ti3C2T
x
showed an ultra-high response (79) to 100 ppm ethanol, a short response/recovery time (22 s/34 s to 50 ppm ethanol), a low limit of detection (1 ppm) and a long-term stability. The excellent ethanol sensing properties are mainly attributed to the coupling effect between ZnO and Ti3C2T
x
of composites. The ZnO nanoparticles are uniformly distributed on the 2D Ti3C2T
x
platform, which can provide more gas adsorption sites. Simultaneously, the presence of hybrid heterojunctions further enhances the response in the sensing process.
High quality epitaxial graphene on 4H-SiC by face-to-face growth in ultra-high vacuum
Authors: Zebardastan Negar , Bradford Jonathan , Lipton-Duffin Josh , MacLeod Jennifer , Ostrikov Kostya (Ken) , Tomellini Massimo , Motta Nunzio 
Published: December 2022

Abstract
Epitaxial graphene on SiC is the most promising substrate for the next generation 2D electronics, due to the possibility to fabricate 2D heterostructures directly on it, opening the door to the use of all technological processes developed for silicon electronics. To obtain a suitable material for large scale applications, it is essential to achieve perfect control of size, quality, growth rate and thickness. Here we show that this control on epitaxial graphene can be achieved by exploiting the face-to-face annealing of SiC in ultra-high vacuum. With this method, Si atoms trapped in the narrow space between two SiC wafers at high temperatures contribute to the reduction of the Si sublimation rate, allowing to achieve smooth and virtually defect free single graphene layers. We analyse the products obtained on both on-axis and off-axis 4H-SiC substrates in a wide range of temperatures (1300 °C–1500 °C), determining the growth law with the help of x-ray photoelectron spectroscopy (XPS). Our epitaxial graphene on SiC has terrace widths up to 10 μm (on-axis) and 500 nm (off-axis) as demonstrated by atomic force microscopy and scanning tunnelling microscopy, while XPS and Raman spectroscopy confirm high purity and crystalline quality.
Critical current asymmetry in HTS switches using iron-core electromagnets
Authors: Rice James H P , Taylor Ross W , Moseley Dominic A , Petrov Alexander , Zhang Heng , Wray Steven , Geng Jianzhao , Badcock Rodney A 
Published: December 2022

Abstract
Iron-core electromagnets are widely used as applied-field switches in high-temperature superconducting (HTS) flux pumps. It was recently reported that the critical current (

I

c

) of the HTS wire is suppressed by up to 45% in the air gap of the iron core. Here, it is reported that the self-field

I

c

of a single tape (unifilar) is suppressed from 357 A to 195 A while in the air gap of an iron core, agreeing closely with the previous study. This is extended by showing that the

I

c

response to a perpendicular magnetic field is asymmetric, with a peak

I

c

of 249 A found to be at 0.16 T of applied magnetic field. This effect can be eliminated using an anti-parallel current configuration (bifilar), which is shown experimentally to recover close to the no-core self-field

I

c

of 357 A with no observed asymmetry. The results of both types of switch configurations are closely replicated in finite-element modelling using COMSOL Multiphysics®. This is caused by the asymmetric interaction between the self-induced magnetic field of the HTS switch element and the magnetic circuit of the iron-core electromagnet.
Recoil experiments determine the eigenmodes of viscoelastic fluids
Authors: Ginot Félix , Caspers Juliana , Reinalter Luis Frieder , Krishna Kumar Karthika , Krüger Matthias , Bechinger Clemens 
Published: December 2022

Abstract
We experimentally investigate the transient recoil dynamics of a colloidal probe particle in a viscoelastic fluid after the driving force acting on the probe is suddenly removed. The corresponding recoil displays two distinct timescales which are in excellent agreement with a microscopic model which considers the probe particle to be coupled to two bath particles via harmonic springs. Notably, this model exhibits two sets of eigenmodes which correspond to reciprocal and non-reciprocal force conditions and which can be experimentally confirmed in our experiments. We expect our findings to be relevant under conditions where particles are exposed to non-steady shear forces as this is encountered e.g. in microfluidic sorting devices or the intermittent motion of motile bacteria within their natural viscoelastic surrounding.
Mid-infrared refractive index photonic crystal fiber sensor based on surface plasmon resonance for ultra-high sensitivity
Authors: Du Zhenhua , Liu Huilong 
Published: December 2022

Abstract
An ultra-high sensitivity photonic crystal fiber mid-infrared refractive index (RI) sensor based on surface plasmon resonance is proposed, whose properties are investigated by the finite element method. Gold can be utilized to create excitation between the fundamental mode and surface plasmon polaritons mode. The simulation results indicate that, at the wavelength of 1.7–4.0 μm, the proposed sensor could detect a RI in the range of 1.00–1.31, a maximum sensitivity of 37 000 nm RIU−1, and an optimal resolution of 2.70 × 10−6 RIU is achieved. The result of curve fitting is 0.98185. The proposed mid-infrared RI sensor plays an important role in organic chemistry detection, medical detection, and related fields.
Deep learning in airborne particulate matter sensing: a review
Authors: Grant-Jacob James A , Mills Ben 
Published: December 2022

Abstract
Airborne particulate matter pollution is a global health problem that affects people from all demographics. To reduce the impact of such pollution and enable mitigation and policy planning, quantifying individuals’ exposure to pollution is necessary. To achieve this, effective monitoring of airborne particulates is required, through monitoring of pollution hotspots and sources. Furthermore, since pollution is a global problem, which varies from urban areas to city centres, industrial facilities to inside homes, a variety of sensors might be needed. Current sensing techniques either lack species resolution on a world scale, lack real-time capabilities, or are too expensive or too large for mass deployment. However, recent work using deep learning techniques has expanded the capability of current sensors and allowed the development of new techniques that have the potential for worldwide, species specific, real-time monitoring. Here, it is proposed how deep learning can enable sensor design for the development of small, low-cost sensors for real-time monitoring of particulate matter pollution, whilst unlocking the capability for predicting future particulate events and health inference from particulates, for both individuals and the environment in general.
Prevalence and outcomes of atrial fibrillation in older people living in care homes in Wales: a routine data linkage study 2003–2018
Authors: Ritchie Leona A , Harrison Stephanie L , Penson Peter E , Akbari Ashley , Torabi Fatemeh , Hollinghurst Joe , Harris Daniel , Oke Oluwakayode B , Akpan Asangaedem , Halcox Julian P , Rodgers Sarah E , Lip Gregory Y H , Lane Deirdre A 
Published: December 2022

AbstractObjectiveTo determine atrial fibrillation (AF) prevalence and temporal trends, and examine associations between AF and risk of adverse health outcomes in older care home residents.MethodsRetrospective cohort study using anonymised linked data from the Secure Anonymised Information Linkage Databank on CARE home residents in Wales with AF (SAIL CARE-AF) between 2003 and 2018. Fine-Gray competing risk models were used to estimate the risk of health outcomes with mortality as a competing risk. Cox regression analyses were used to estimate the risk of mortality.ResultsThere were 86,602 older care home residents (median age 86.0 years [interquartile range 80.8–90.6]) who entered a care home between 2003 and 2018. When the pre-care home entry data extraction was standardised, the overall prevalence of AF was 17.4% (95% confidence interval 17.1–17.8) between 2010 and 2018. There was no significant change in the age- and sex-standardised prevalence of AF from 16.8% (15.9–17.9) in 2010 to 17.0% (16.1–18.0) in 2018. Residents with AF had a significantly higher risk of cardiovascular mortality (adjusted hazard ratio [HR] 1.27 [1.17–1.37], P &lt; 0.001), all-cause mortality (adjusted HR 1.14 [1.11–1.17], P &lt; 0.001), ischaemic stroke (adjusted sub-distribution HR 1.55 [1.36–1.76], P &lt; 0.001) and cardiovascular hospitalisation (adjusted sub-distribution HR 1.28 [1.22–1.34], P &lt; 0.001).ConclusionsOlder care home residents with AF have an increased risk of adverse health outcomes, even when higher mortality rates and other confounders are accounted for. This re-iterates the need for appropriate oral anticoagulant prescription and optimal management of cardiovascular co-morbidities, irrespective of frailty status and predicted life expectancy.
Phosphoproteomics for the identification of new mechanisms of cryodamage: the role of SPATA18 in the control of stallion sperm function
Authors: Gaitskell-Phillips Gemma , Martín-Cano Francisco E , da Silva-Álvarez Eva , Tapia José A , Silva Antonio , Gil María C , Ortega-Ferrusola Cristina , Peña Fernando J 
Published: December 2022

AbstractAlthough recent research has addressed the impact of cryopreservation on the stallion sperm proteome, studies addressing the stallion sperm phosphoproteome are lacking. In the present study, the data set of proteomes of fresh and cryopreserved spermatozoa were reanalyzed, showing that cryopreservation caused significant changes in the phosphoproteome. The phosphoproteins reduced most significantly by cryopreservation were Ca2+binding tyrosine phosphorylation regulated, protein kinase cAMP-activated catalytic subunit beta (CABYR), mitochondria eating protein (SPATA18), A kinase anchoring protein 4 (AKAP4), A-kinase anchoring protein 3 (AKAP3) and the Family with sequence similarity 71 member B (FAM71B). These proteins belong to the gene ontology (GO) terms sperm fibrous sheath (GO: 0035686), and sperm principal piece (GO: 0097228). The regulatory interactions between kinases and phosphorylation sites on the proteins that were affected most were also investigated, and the potential kinases (based on human orthologs) involved in the regulation of these phosphoproteins identified were: PKCß for SPATA18 and GSK3ß for CABYR. Kinase inhibition assays were also conducted showing that kinases phosphorylating the above-mentioned proteins play an important role in their activity and thus, phosphorylation controls the activity of these proteins and their role in the regulation of the functionality and viability of stallion spermatozoa. In conclusion, the data reported here contribute to the understanding of the fact that the dephosphorylation of certain proteins is a molecular lesion induced by cryopreservation in the stallion spermatozoa.
The Adaptive Olfactory Measure of Threshold (ArOMa-T): a rapid test of olfactory function
Authors: Weir Elisabeth M , Hannum Mackenzie E , Reed Danielle R , Joseph Paule V , Munger Steven D , Hayes John E , Gerkin Richard C 
Published: December 2022

AbstractMany widely used psychophysical olfactory tests have limitations that can create barriers to adoption. For example, tests that measure the ability to identify odors may confound sensory performance with memory recall, verbal ability, and prior experience with the odor. Conversely, classic threshold-based tests avoid these issues, but are labor intensive. Additionally, many commercially available tests are slow and may require a trained administrator, making them impractical for use in situations where time is at a premium or self-administration is required. We tested the performance of the Adaptive Olfactory Measure of Threshold (ArOMa-T)—a novel odor detection threshold test that employs an adaptive Bayesian algorithm paired with a disposable odorant delivery card—in a non-clinical sample of individuals (n = 534) at the 2021 Twins Day Festival in Twinsburg, OH. Participants successfully completed the test in under 3 min with a false alarm rate of 7.5% and a test–retest reliability of 0.61. Odor detection thresholds differed by sex (~3.2-fold lower for females) and age (~8.7-fold lower for the youngest versus the oldest age group), consistent with prior studies. In an exploratory analysis, we failed to observe evidence of detection threshold differences between participants who reported a history of COVID-19 and matched controls who did not. We also found evidence for broad-sense heritability of odor detection thresholds. Together, this study suggests the ArOMa-T can determine odor detection thresholds. Additional validation studies are needed to confirm the value of ArOMa-T in clinical or field settings where rapid and portable assessment of olfactory function is needed.
Immunopurification Reagents and Their Application in Biologics and Biomarker Quantitation Using LC–MS/MS in Drug Discovery
Authors: Gautam Shashyendra Singh , Singh Sheelendra Pratap 
Published: December 2022

Abstract
The LC–MS/MS technology is one of the most utilized bio-analytical tools owing to its advantage of selectivity, sensitivity and multitasking. The advent of novel biological therapies and increasing demand for protein biomarker identification and quantitation have put the LC–MS/MS technology at the forefront. The questions which are been posed to the LC–MS/MS scientist are complex. The complexity of the question increases further with the matrices in which these questions need to be answered. To bring down the complexity of the analysis, LC–MS/MS technology is utilizing the immunopurification (IP) technique as the new sample preparation technique. The IP reagents are the most common reagents which are used to decrease the matrices’ complexity and allow the LC–MS/MS system to reach greater sensitivity. The utilization of these reagents is increasing every day, but the proper utilization of these reagents is still unknown to the common analyst in drug discovery. The present review throws light on the utilization aspect of these reagents, as we have classified these reagents on basis of their utilization, which will allow the readers to gain an understanding of these reagents. This review will also talk about the merits and the demerits of each approach and the current understanding of utilizing these reagents.
Natural Occurrence and Analysis ofNosemasp. Infection in the Adult Population of Western Bean Cutworm in Michigan
Authors: Bunn Dakota C , Miller Nicholas 
Published: December 2022

AbstractAn understanding of population dynamics and insect biology is important for effective crop management strategies. Biotic factors such as pathogens play a large role on the fitness and dynamics of insect populations. Microsporidia are obligate intracellular parasites that infect more than 150 insect species and range from sublethal and chronic to fast acting and deadly. The western bean cutworm, Striacosta albicosta (Smith) (Lepidoptera: Noctuidae), is a pest of both corn (Zea maize L. [Poales: Poaceae]) and dry beans (Phaseolus sp L. [Fabales: Fabaceae]) that is infected by a microsporidian parasite from the genus Nosema (Microsporidia: Nosematidae). Unfortunately, little is known about the interactions between the Nosema sp. (Microsporidia: Nosematidae) infecting the western bean cutworm and its prevalence and effects on the host population. This is especially true for the western bean cutworm population that has settled in the Great Lakes region over the last two decades. Using field caught samples and phase contrast microscopy, no consistent trends in pathogen load were observed over the course of the western bean cutworm flight season. A weak, but statistically significant relationship was observed between male body weight and pathogen load. Overall, we found a 100% prevalence of infection in the adult western bean cutworm population in Michigan.