bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real‐world VASCADE closure device versus manual compression use and outcomes in patients with severe common femoral artery disease
Authors: Nagpal Sameer , Scierka Lindsey E. , Castro‐Dominguez Yulanka , Kansal Dhruv , Kunnirickal Steffne , Hussain Yasin , Love Keith , Aboian Edouard , Smolderen Kim G. , Mena‐Hurtado Carlos 
Published: September 2022

AbstractBackgroundThe VASCADE closure device deploys an extravascular collagen plug. Its use in those with access site disease undergoing peripheral vascular intervention (PVI) is unknown. We aimed to evaluate the efficacy and safety of the VASCADE closure device compared to manual compression (MC) in patients with moderate femoral access site disease.MethodsWe performed a single‐center, retrospective review of patients undergoing PVI with at least moderate access site disease. Our institutional database was linked to the Vascular Quality Initiative database, and 200 patients were selected from a 1:1 propensity‐matched cohort. Data on procedural metrics and outcomes up to 30‐days were abstracted.ResultsThere were 103 procedures that used VASCADE and 97 used MC. Baseline variables were similar between groups. The mean age was 68.2 ± 11.2 years and 37.6% were women. Closing mean activated clotting time (ACT) was shorter in VASCADE (198 s VASCADE vs. 213 s MC; p = 0.018). There was a nonsignificant decrease in external compression device use with VASCADE (VASCADE 19.0% vs. MC 28.1%; p = 0.15). At 30‐days, there was a nonsignificant reduction in hematoma with VASCADE (3.8% vs. 7.8% MC; p = 0.25) and no difference in retroperitoneal bleeding (0.5%). Pseudoaneurysm rate was similar (1.3% VASCADE vs. 1.7% MC; p = 0.79). The 30‐day mortality rate was similar between the two groups and not related to the procedure (1.3% VASCADE vs. 0.9% MC; p = 0.79).ConclusionIn patients undergoing PVI with at least moderate access site disease, safety and efficacy after using VASCADE was comparable with MC.
Kinetics and Mechanism of Catalytic Oxidation Desulfurization of Gasoline Liquefied Petroleum Gas in MeroxTMProcess with Microfluidics
Authors: Gao Zhangyi , Jiang Linjing , Zhang Jiawei , Zhu Jiqin , Du Le , Wang Yujun 
Published: September 2022

AbstractCatalytic oxidation desulfurization of gasoline liquefied petroleum gas (LPG) is a key process for the utilization of petroleum hydrocarbons. However, the inherent mechanism remains unclear and the kinetic investigation is usually performed in processes with limited mass transfer rates. Herein, the kinetics and mechanism of catalytic oxidation of sodium ethyl mercaptide were investigated with microfluidics. The effects of temperature, pressure, residence time, and gas‐liquid flow ratio on the oxidation were assessed on the basis of eliminating mass transfer resistance. According to the results of UV‐vis spectra and binding constant, it was confirmed that the catalytic center was in the form of the dimer. A heterogeneous reaction kinetic model was proposed as such. The kinetic parameters close to intrinsic kinetics and corresponding kinetic rate expression were obtained.
Assessment of the Lubricity of Grease‐Sealing Rotary Shaft Seals Based on Grease Properties
Authors: Hahn Susanne , Feldmeth Simon , Bauer Frank 
Published: September 2022

AbstractGrease‐lubricated sealing systems have an increased risk of starved lubrication. For this work, the lubricity of 23 greases in a rotary shaft sealing system was evaluated with a new test and evaluation method. The lubricity was then correlated with rheological and other grease properties. These grease properties are either available by the data sheet or can be measured with low effort. The results of the correlation allow a preselection of greases which are expected to lubricate rotary shaft seals well. This can support manufacturers and users in considering the lubrication of the sealing system early in the development process.
Catalytic Nitrene Transfer by an FeIV‐Imido Complex Generated by a Comproportionation Process
Authors: Donat Jordan , Dubourdeaux Patrick , Clémancey Martin , Rendon Julia , Gervasoni Clara , Barbier Morgan , Barilone Jessica , Pécaut Jacques , Gambarelli Serge , Maldivi Pascale , Latour Jean‐Marc 
Published: September 2022

AbstractNitrene transfer reactions have emerged as one of the most powerful and versatile ways to insert an amine function to various kinds of hydrocarbon substrates. However, the mechanisms of nitrene generation have not been studied in depth albeit their formation is taken for granted in most cases without definitive evidence of their occurrence. In the present work, we compare the generation of tosylimido iron species and NTs transfer from FeII and FeIII precursors where the metal is embedded in a tetracarbene macrocycle. Catalytic nitrene transfer to reference substrates (thioanisole, styrene, ethylbenzene and cyclohexane) revealed that the same active species was at play, irrespective of the ferrous versus ferric nature of the precursor. Through combination of spectroscopic (UV‐visible, Mössbauer), ESI‐MS and DFT studies, an FeIV tosylimido species was identified as the catalytically active species and was characterized spectroscopically and computationally. Whereas its formation from the FeII precursor was expected by a two‐electron oxidative addition, its formation from an FeIII precursor was unprecedented. Thanks to a combination of spectroscopic (UV‐visible, EPR, Hyscore and Mössbauer), ESI‐MS and DFT studies, we found that, when starting from the FeIII precursor, an FeIII tosyliodinane adduct was formed and decomposed into an FeV tosylimido species which generated the catalytically active FeIV tosylimide through a comproportionation process with the FeIII precursor.
A novel hybrid half‐bridge LLC resonant converter with double resonant tanks for high step‐down applications
Authors: Lu Song , Ma Hongbo , Yi Junhong , Li Xiaobin , Li Jian 
Published: September 2022

AbstractConventional half‐bridge (HB) LLC converters have been a good candidate for the first stage in the two‐stage conversion structure because of its high conversion efficiency and high frequency operation ability. However, the voltage gain is only 0.5 exclusive of the transformer, resulting in the reduced efficiency for high step‐down applications. In order to solve this issue, in this paper, a novel hybrid HB LLC converter with double resonant tanks is firstly presented for high step‐down ratio applications. The distinctive features of the proposed converter are as follows: (1) the voltage gain of 0.25 is achieved by incorporating the switched capacitor circuit. Thus, the primary turns number for the transformer is halved compared with conventional HB LLC converters. Correspondingly, the smaller primary side winding losses and transformer volume can be implemented. (2) The power splitting and low input current ripple can be obtained due to the employed double resonant tanks. Thus, the uniform thermal distribution and low input filter capacitance are the second advantage for the proposed converter. (3) Soft switching over the entire operation range still can be maintained with larger magnetics inductance. The detailed operation principles, circuit analysis, and resonant tank design for the proposed converter are introduced and presented. A hardware prototype with 36–60 V input, 3 V/50 A‐output is built to demonstrate the declared features of the proposed hybrid converter.
No relationship between chronotype and timing of breeding when variation in daily activity patterns across the breeding season is taken into account
Authors: Meijdam Marjolein , Müller Wendt , Thys Bert , Eens Marcel 
Published: September 2022

AbstractThere is increasing evidence that individuals are consistent in the timing of their daily activities, and that individual variation in temporal behavior is related to the timing of reproduction. However, it remains unclear whether observed patterns relate to the timing of the onset of activity or whether an early onset of activity extends the time that is available for foraging. This may then again facilitate reproduction. Furthermore, the timing of activity onset and offset may vary across the breeding season, which may complicate studying the above‐mentioned relationships. Here, we examined in a wild population of great tits (Parus major) whether an early clutch initiation date may be related to an early onset of activity and/or to longer active daylengths. We also investigated how these parameters are affected by the date of measurement. To test these hypotheses, we measured emergence and entry time from/into the nest box as proxies for activity onset and offset in females during the egg laying phase. We then determined active daylength. Both emergence time and active daylength were related to clutch initiation date. However, a more detailed analysis showed that the timing of activities with respect to sunrise and sunset varied throughout the breeding season both within and among individuals. The observed positive relationships are hence potentially statistical artifacts. After methodologically correcting for this date effect, by using data from the pre‐egg laying phase, where all individuals were measured on the same days, neither of the relationships remained significant. Taking methodological pitfalls and temporal variation into account may hence be crucial for understanding the significance of chronotypes.
Pt‐WOx/C Catalysts for α, β‐Unsaturated Aldehydes Hydrogenation: An NMR Study of the Effect of the Reactant Adsorption on Activity and Selectivity
Authors: Stucchi Marta , Vasile Francesca , Cattaneo Stefano , Vomeri Alessandro , Hungria Ana B. , Prati Laura 
Published: September 2022

AbstractThe selective hydrogenation of α,β‐unsaturated aldehydes is an ideal case for studying the structure‐activity relationships in heterogeneous catalysis. In particular, cinnamaldehyde can be used as probe molecule for revealing the competition between hydrogenation of C=C and C=O bond. Here, we investigated the effect of the modification of some Pt supported on carbon catalysts by WOxspecies in cinnamaldehyde hydrogenation, as WOxspecies are reported to increase the adsorption and activation of the C=O group of α, β‐unsaturated aldehydes. Classical techniques used for correlating the catalyst activity and the selectivity to the characteristic of the materials (XRD, HAADF‐STEM, XEDS mapping and XPS) have been coupled with NMR relaxometry, as innovative application, to disclose how the molecule approaches the catalyst surface. This indeed constitutes a crucial aspect that rule the catalytic activity. Therefore, an innovative, holistic approach has been used to consider the whole catalytic system.
Comprehensive treatment of uncertainties in risk‐targeted performance‐based seismic design and assessment of bridges
Authors: Deb Angshuman , Conte Joel P. , Restrepo José I. 
Published: September 2022

AbstractThis study complements and extends a recent work on the development of a rigorous framework for risk‐targeted performance‐based seismic design/assessment of ordinary standard bridges (OSBs) in California. Rooted in the formulation of this framework is an updated fully probabilistic performance‐based earthquake engineering (PBEE) assessment methodology wherein metrics of structural performance are formulated in terms of the mean return periods of exceedances for several strain‐based limit‐states (LSs). The originally proposed framework explicitly considering: (1) the uncertainty in the seismic input, and (2) the uncertainty in the capacity of the various LSs, is extended in this study to account for the following additional pertinent sources of uncertainty: (i) the aleatory uncertainty associated with finite element (FE) model parameters, and (ii) the epistemic parameter estimation uncertainty associated with using finite datasets to estimate the parameters of the probability distributions characterizing the FE model parameters and LS fragilities. These additional sources of uncertainty are commonly omitted or neglected in PBEE often by invoking that the earthquake ground motion uncertainty is the predominant source of uncertainty. However, their inclusion and consistent propagation in seismic performance‐based assessment of OSBs is imperative to obtain a more complete picture of seismic performance, thereby leading to a more comprehensive, transparent, and reliable design of these simple, yet essential bridges which represent an integral part of lifeline infrastructure systems especially in earthquake‐prone regions. The analytical and computational framework previously assembled is extended via modular incorporation of these additional sources of uncertainty. Four OSB testbeds and their risk‐targeted re‐designed versions are analyzed with and without these additional sources of uncertainty to evaluate their significance.
The salience network is activated during self‐recognition from both first‐person and third‐person perspectives
Authors: Asakage Shoko , Nakano Tamami 
Published: September 2022

AbstractWe usually observe ourselves from two perspectives. One is the first‐person perspective, which we perceive directly with our own eyes, and the other is the third‐person perspective, which we observe ourselves in a mirror or a picture. However, whether the self‐recognition associated with these two perspectives has a common or separate neural basis remains unclear. To address this, we used functional magnetic resonance imaging to examine brain activity while participants viewed pretaped video clips of themselves and others engaged in meal preparation taken from first‐person and third‐person perspectives. We found that the first‐person behavioral videos of the participants and others induced greater activation in the premotor‐intraparietal region. In contrast, the third‐person behavioral videos induced greater activation in the default mode network compared with the first‐person videos. Regardless of the perspective, the videos of the participants induced greater activation in the salience network than the videos of others. On the other hand, the videos of others induced greater activation in the precuneus and lingual gyrus than the videos of the participants. These results suggest that the salience network is commonly involved in self‐recognition from both perspectives, even though the brain regions involved in action observation for the two perspectives are distinct.
Vertex‐disjoint cycles of the same length in tournaments
Authors: Wang Zhilan , Qi Yuzhen , Yan Jin 
Published: September 2022

AbstractA tournament is a digraph which has exactly one arc between any two vertices. Let and be two positive integers with . A ‐cycle is a cycle of length . We prove that for any real number , there exists a constant such that for every , any tournament with minimum outdegree at least contains disjoint ‐cycles. This generalizes a result by Bang‐Jensen, Bessy, and Thomassé for disjoint 3‐cycles. The linear factor of minimum outdegree is the best possible.
Globally distributed technology projects thrive on experience working together apart: Impacts of team balance, task balance, and task heterogeneity
Authors: Alblas Alex 
Published: September 2022

AbstractEnabling shared experiences could be key to managing technology projects successfully. The advantages gained from the experience of working together can be complemented, but also offset, by common aspects of technology projects—like the dispersion of team members and the integration of heterogeneous tasks across global sites. This study develops and tests a conceptual framework that scrutinizes the impact of team familiarity and task allocation challenges. It identifies three elements of task allocation in technology projects that affect the familiarization process: (i)team (im)balance, (ii)task (im)balance, and (iii)task heterogeneity. An examination of 27,948 software tasks in six projects involving teams working apart on heterogeneous and dispersed tasks in the Netherlands and India shows that the experience of working together apart reduces the average cost of software tasks. This positive effect is enhanced by task heterogeneity and team balance, despite being hampered by task balance. These findings shed new light on task allocation challenges in cross‐organizational technology projects distributed over the world.
Collapsed nanofingers by DNA functionalization as SERS platform for mercury ions sensing
Authors: Su Guangxu , Hu Pan , Hu Junzheng , Wang Xinluo , Wu Guoliang , Shang Yunpeng , Zhan Peng , Liu Fanxin , Wu Wei 
Published: September 2022

AbstractSurface‐enhanced Raman spectroscopy (SERS) is known as a powerful technique to provide label‐free analyses for chemical sensing. While the sensitivity of SERS is heavily dependent on the prepared SERS functional substrates, finding appropriate substrates is critical to achieve sufficient signal enhancement. Meanwhile, the capture of targets to such effective enhancing region becomes challenging especially for low concentration. Here, we report a coupled Au/DNAs/Au gap plasmon platform that provides remarkable SERS enhancement and sensitivity for mercury ion sensing. Through nanoimprint lithography, large area of Au nanofingers can be fabricated with excellent uniformity and flexibility. These Au nanofingers can be further modified by DNA aptamers to construct Au/DNAs/Au gap plasmon nanostructures with well‐defined gap sizes. Due to the subnanometer gap size, strong interaction between collapsed Au nanofingers can be induced to create extremely enhanced near‐field with nanoscale mode volume. When Hg2+ ions exist around the platform, they can specially bind to thymine (T) bases of DNA and form T‐Hg2+‐T pairs between adjacent single strand DNAs. As a result, DNAs that initially lie on the Au surface are forced to stand in rigid duplex‐structures. This morphology change can be directly indicated by the ratio between adenine (A) and guanine (G) SERS signals to reveal the Hg2+ concentration. Given the strong field enhancement as well as the close distance between DNA and hotspot, ultralow Hg2+ concentration down to 10−9 M is successfully detected. This work demonstrates a SERS platform with high selectivity and sensitivity, which exhibits significant potential for molecule sensing applications.
Characteristic‐constrained accelerating MR T1rho mapping with blockwise infimal convolution of matrix elastic‐net regularization
Authors: Zhu Qingyong , Cui Zhuo‐Xu , Liu Yuanyuan , Cheng Jing , Zhao Kankan , Wang Haifeng , Zhu Yanjie , Liang Dong 
Published: September 2022

AbstractBackgroundMagnetic resonance parameter mapping (MRPM) plays an important role in clinical applications and biomedical researches. However, the acceleration of MRPM remains a major challenge for achieving further improvements.PurposeIn this work, a new undersampled k‐space based joint multi‐contrast image reconstruction approach named CC‐IC‐LMEN is proposed for accelerating MR T1rho mapping.MethodsThe reconstruction formulation of the proposed CC‐IC‐LMEN method imposes a blockwise low‐rank assumption on the characteristic‐image series (c‐p space) and utilizes infimal convolution (IC) to exploit and balance the generalized low‐rank properties in low‐and high‐order c–p spaces, thereby improving the accuracy. In addition, matrix elastic‐net (MEN) regularization based on the nuclear and Frobenius norms is incorporated to obtain stable and exact solutions in cases with large accelerations and noisy observations. This formulation results in a minimization problem, that can be effectively solved using a numerical algorithm based on the alternating direction method of multipliers (ADMM). Finally, T1rho maps are then generated according to the reconstructed images using nonlinear least‐squares (NLSQ) curve fitting with an established relaxometry model.ResultsThe relative l2‐norm error (RLNE) and structural similarity (SSIM) in the regions of interest (ROI) show that the CC‐IC‐LMEN approach is more accurate than other competing methods even in situations with heavy undersampling or noisy observation.ConclusionsOur proposed CC‐IC‐LMEN method provides accurate and robust solutions for accelerated MR T1rho mapping.
Clinically compatible subject‐specific dynamic parallel transmit pulse design for homogeneous fat saturation and water‐excitation at 7T: Proof‐of‐concept for CEST MRI of the brain
Authors: Lévy Simon , Herrler Jürgen , Liebert Andrzej , Tkotz Katharina , Fabian Moritz S. , Eisen Christian , Grodzki David , Uder Michael , Dörfler Arnd , Zaiss Moritz , Nagel Armin M. 
Published: September 2022

PurposeTo evaluate the benefits and challenges of dynamic parallel transmit (pTx) pulses for fat saturation (FS) and water‐excitation (WE), in the context of CEST MRI.Methods“Universal” kT‐points
(for FS) and spiral non‐selective (for WE) trajectories were optimized
offline for flip angle (FA) homogeneity. Routines to optimize the pulse
shape online, based on the subject's fields maps, were implemented
(target FA of 110°/0° for FS, 0°/5° for WE at fat/water frequencies).The pulses were inserted in a CEST sequence with a pTx readout. The different fat suppression schemes and their effects on CEST contrasts were compared in 12 volunteers at 7T.ResultsWith
a 25%‐shorter pulse duration, pTx FS largely improved the FA
homogeneity (root‐mean‐square‐error (RMSE) = 12.3° vs. 53.4° with
circularly‐polarized mode, at the fat frequency). However, the spectral
selectivity was degraded mainly in the cerebellum and close to the
sinuses (RMSE = 5.8° vs. 0.2° at the water frequency). Similarly, pTx WE
showed a trade‐off between FA homogeneity and spectral selectivity
compared to pTx non‐selective pulses (RMSE = 0.9° and 1.1° at the fat
and water frequencies, vs. 4.6° and 0.5°).In the brain, CEST metrics were reduced by up to 31.9% at −3.3 ppm with pTx FS, suggesting a mitigated lipid‐induced bias.ConclusionThis clinically compatible implementation of dynamic pTx pulses improved the fat suppression homogeneity at 7T taking into account the subject‐specific B0 heterogeneities online. This study highlights the lipid‐induced biases on the CEST z‐spectrum. The results are promising for body applications where B0 heterogeneities and fat are more substantial.
CEST MR fingerprinting (CEST‐MRF) for brain tumor quantification using EPI readout and deep learning reconstruction
Authors: Cohen Ouri , Yu Victoria Y. , Tringale Kathryn R. , Young Robert J. , Perlman Or , Farrar Christian T. , Otazo Ricardo 
Published: September 2022

PurposeTo develop a clinical CEST MR fingerprinting (CEST‐MRF) method for brain tumor quantification using EPI acquisition and deep learning reconstruction.MethodsA CEST‐MRF pulse sequence originally designed for animal imaging was modified to conform to hardware limits on clinical scanners while keeping scan time under 2 min. Quantitative MRF reconstruction was performed using a deep reconstruction network (DRONE) to yield the water relaxation and chemical exchange parameters. The feasibility of the six parameter DRONE reconstruction was tested in simulations using a digital brain phantom. A healthy subject was scanned with the CEST‐MRF sequence, conventional MRF and CEST sequences for comparison. Reproducibility was assessed via test–retest experiments and the concordance correlation coefficient calculated for white matter and gray matter. The clinical utility of CEST‐MRF was demonstrated on four patients with brain metastases in comparison to standard clinical imaging sequences. Tumors were segmented into edema, solid core, and necrotic core regions and the CEST‐MRF values compared to the contra‐lateral side.ResultsDRONE reconstruction of the digital phantom yielded a normalized RMS error of ≤7% for all parameters. The CEST‐MRF parameters were in good agreement with those from conventional MRF and CEST sequences and previous studies. The mean concordance correlation coefficient for all six parameters was 0.98 ± 0.01 in white matter and 0.98 ± 0.02 in gray matter. The CEST‐MRF values in nearly all tumor regions were significantly different (P = 0.05) from each other and the contra‐lateral side.ConclusionCombination of EPI readout and deep learning reconstruction enabled fast, accurate and reproducible CEST‐MRF in brain tumors.