bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tendon compliance and preload must be considered when determining the in vivo force–velocity relationship from the torque–angular velocity relation
Authors: Holzer Denis , Millard Matthew , Hahn Daniel , Siebert Tobias , Schwirtz Ansgar , Seiberl Wolfgang 
Published: April 2023

AbstractIn vivo, the force–velocity relation (F–v–r) is typically derived from the torque–angular velocity relation (T–ω–r), which is subject to two factors that may influence resulting measurements: tendon compliance and preload prior to contraction. The in vivo plantar flexors’ T–ω–r was determined during preloaded maximum voluntary shortening contractions at 0–200°/s. Additionally, we used a two factor block simulation study design to independently analyze the effects of preload and tendon compliance on the resulting T–ω–r. Therefore, we replicated the in vivo experiment using a Hill-type muscle model of the gastrocnemius medialis. The simulation results matched a key pattern observed in our recorded in vivo experimental data: during preloaded contractions, torque output of the muscle was increased when compared with non-preloaded contractions from literature. This effect increased with increasing contraction velocity and can be explained by a rapidly recoiling tendon, allowing the contractile element to contract more slowly, thus developing higher forces compared with non-preloaded contractions. Our simulation results also indicate that a more compliant tendon results in increased ankle joint torques. The simulation and the experimental data clearly show that the deduction of the in vivo F–v–r from the T–ω–r is compromised due to the two factors preloading and tendon compliance.
Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes
Authors: McGeary John E. , Benca-Bachman Chelsie E. , Risner Victoria A. , Beevers Christopher G. , Gibb Brandon E. , Palmer Rohan H. C. 
Published: April 2023

AbstractTwin studies indicate that 30–40% of the disease liability for depression can be attributed to genetic differences. Here, we assess the explanatory ability of polygenic scores (PGS) based on broad- (PGSBD) and clinical- (PGSMDD) depression summary statistics from the UK Biobank in an independent sample of adults (N = 210; 100% European Ancestry) who were extensively phenotyped for depression and related neurocognitive traits (e.g., rumination, emotion regulation, anhedonia, and resting frontal alpha asymmetry). The UK Biobank-derived PGSBD had small associations with MDD, depression severity, anhedonia, cognitive reappraisal, brooding, and suicidal ideation but only the association with suicidal ideation remained statistically significant after correcting for multiple comparisons. Similarly small associations were observed for the PGSMDD but none remained significant after correcting for multiple comparisons. These findings provide important initial guidance about the expected effect sizes between current UKB PGSs for depression and depression-related neurocognitive phenotypes.
A non-second-gradient model for nonlinear elastic bodies with fibre stiffness
Authors: Shariff M. H. B. M. , Merodio J. , Bustamante R. 
Published: April 2023

AbstractIn the past, to model fibre stiffness of finite-radius fibres, previous finite-strain (nonlinear) models were mainly based on the theory of non-linear strain-gradient (second-gradient) theory or Kirchhoff rod theory. We note that these models characterize the mechanical behaviour of polar transversely isotropic solids with infinitely many purely flexible fibres with zero radius. To introduce the effect of fibre bending stiffness on purely flexible fibres with zero radius, these models assumed the existence of couple stresses (contact torques) and non-symmetric Cauchy stresses. However, these stresses are not present on deformations of actual non-polar elastic solids reinforced by finite-radius fibres. In addition to this, the implementation of boundary conditions for second gradient models is not straightforward and discussion on the effectiveness of strain gradient elasticity models to mechanically describe continuum solids is still ongoing. In this paper, we develop a constitutive equation for a non-linear non-polar elastic solid, reinforced by embedded fibers, in which elastic resistance of the fibers to bending is modelled via the classical branches of continuum mechanics, where the development of the theory of stresses is based on non-polar materials; that is, without using the second gradient theory, which is associated with couple stresses and non-symmetric Cauchy stresses. In view of this, the proposed model is simple and somewhat more realistic compared to previous second gradient models.
A big data-based prediction model for prostate cancer incidence in Japanese men
Authors: Kato Mineyuki , Horiguchi Go , Ueda Takashi , Fujihara Atsuko , Hongo Fumiya , Okihara Koji , Marunaka Yoshinori , Teramukai Satoshi , Ukimura Osamu 
Published: April 2023

AbstractTo define a normal range for PSA values (ng/mL) by age and create a prediction model for prostate cancer incidence. We conducted a retrospective analysis using 263,073 observations of PSA values in Japanese men aged 18–98 years (2007–2017), including healthy men and those diagnosed with prostate cancer. Percentiles for 262,639 PSA observations in healthy men aged 18–70 years were calculated and plotted to elucidate the normal fluctuation range for PSA values by age. Univariable and multivariable logistic regression analyses were performed to develop a predictive model for prostate cancer incidence. PSA levels and PSA velocity increased with age in healthy men. However, there was no difference in PSA velocity with age in men diagnosed with prostate cancer. Logistic regression analysis showed an increased risk of prostate cancer for PSA slopes ranging from 0.5 to 3.5 ng/mL/year. This study provides age-specific normal fluctuation ranges for PSA levels in men aged 18–75 years and presents a novel and personalized prediction model for prostate cancer incidence. We found that PSA slope values of > 3.5 ng/mL/year may indicate a rapid increase in PSA levels caused by pathological condition such as inflammation but are unlikely to indicate cancer risk.
TUT4/7-mediated uridylation of a coronavirus subgenomic RNAs delays viral replication
Authors: Gupta Ankit , Li Yin , Chen Shih-Heng , Papas Brian N. , Martin Negin P. , Morgan Marcos 
Published: April 2023

AbstractCoronaviruses are positive-strand RNA viruses with 3′ polyadenylated genomes and subgenomic transcripts. The lengths of the viral poly(A) tails change during infection by mechanisms that remain poorly understood. Here, we use a splint-ligation method to measure the poly(A) tail length and poly(A) terminal uridylation and guanylation of the mouse hepatitis virus (MHV) RNAs. Upon infection of 17-CL1 cells with MHV, a member of the Betacoronavirus genus, we observe two populations of terminally uridylated viral transcripts, one with poly(A) tails ~44 nucleotides long and the other with poly(A) tails shorter than ~22 nucleotides. The mammalian terminal uridylyl-transferase 4 (TUT4) and terminal uridylyl-transferase 7 (TUT7), referred to as TUT4/7, add non-templated uracils to the 3′-end of endogenous transcripts with poly(A) tails shorter than ~30 nucleotides to trigger transcript decay. Here we find that depletion of the host TUT4/7 results in an increased replication capacity of the MHV virus. At late stages of infection, the population of uridylated subgenomic RNAs with tails shorter than ~22 nucleotides is reduced in the absence of TUT4/7 while the viral RNA load increases. Our findings indicate that TUT4/7 uridylation marks the MHV subgenomic RNAs for decay and delays viral replication.
Hydrogen and helium trapping in hcp beryllium
Authors: Zimber Nikolai , Lammer Judith , Vladimirov Pavel , Kothleitner Gerald , Keast Vicki J. , Dürrschnabel Michael , Klimenkov Michael 
Published: April 2023

AbstractEven though hydrogen-metal surface interactions play an important role in energy technologies and metal corrosion, a thorough understanding of these interactions at the nanoscale remains elusive due to obstructive detection limits in instrumentation and the volatility of pure hydrogen. In the present paper we use analytical spectroscopy in TEM to show that hydrogen adsorbs directly at the (0001) surfaces of hexagonal helium bubbles within neutron irradiated beryllium. In addition to hydrogen, we also found Al, Si and Mg at the beryllium-bubble interfaces. The strong attraction of these elements to (0001) surfaces is underlined with ab-initio calculations. In situ TEM heating experiments reveal that hydrogen can desorb from the bubble walls at T ≥ 400 °C if the helium content is reduced by opening the bubbles. Based on our results we suggest the formation of a complex hydride consisting of up to five elements with a remarkably high decomposition temperature. These results therefore promise novel insights into metal-hydrogen interaction behavior and are invaluable for the safety of future fusion power plants.
Deep learning based sequence detection with natural redundancy for memory sources
Authors: Wang Zhen‐Yu , Yu Hong‐Yi , Du Jian‐Ping , Shen Zhi‐Xiang , Zhu Zhao‐Rui , Shen Cai‐Yao 
Published: April 2023

AbstractThe current wireless communication system has higher performance demands for receivers. This paper considers exploiting the natural redundancy (NR) that is widely existed in the transmission sources to improve the receiver's performance of sequence detection. The type of NR discussed in this paper is the inherent redundancy in data caused by the correlation between symbols in the memory sources. Since the correlation between transmitted symbols is too challenging to obtain, deep learning (DL) is introduced into sequence detection, which has a powerful ability to extract complex patterns from data. Specifically, intended for a specific memory source that is convenient for performance analysis, namely the Markov source, an iterative sequence detection algorithm based on the long short‐term memory network is proposed. Simulation results demonstrate that the receiver's performance can be improved by exploiting the NR and the proposed DL‐based sequence detection scheme can obtain optimal bit error rate performance with blind state transition probability of the transmitted Markov source.
Texture and semantic convolutional auto‐encoder for anomaly detection and segmentation
Authors: Luo Jintao , Gao Can , Wan Da , Shen Linlin 
Published: April 2023

AbstractAnomaly detection is a challenging task, especially detecting and segmenting tiny defect regions in images without anomaly priors. Although deep encoder‐decoder‐based convolutional neural networks have achieved good anomaly detection results, existing methods operate uniformly on all extracted image features without considering disentangling these features. To fully explore the texture and semantic information of images, A novel unsupervised anomaly detection method is proposed. Specifically, discriminative features are extracted from images by using a deep pre‐trained network, where shallow and deep features are aggregated into texture and semantic modules, respectively. Then, a feature fusion module is developed to interactively enable feature information in two different modules. The texture and semantic segmentation results are obtained by comparing the texture features and semantic features before and after reconstruction, respectively. Finally, an anomaly segmentation module is designed to generate anomaly detection results by integrating the results of the texture and semantic modules by setting a threshold. Experimental results on benchmark datasets for anomaly detection demonstrate that our proposed method can efficiently and effectively detect anomalies, outperforming some state‐of‐the‐art methods by 2.7% and 0.6% in classification and segmentation.
A single‐ended protection method for flexible DC distribution grid
Authors: Wei Xiuyan , Zou Guibin , Zhang Shuo , Chen Chaochao , Xu Chunhua , Sun Weijie 
Published: April 2023

AbstractConsidering that no current limiting inductances (CLIs) are installed at the end of the DC line in the flexible DC distribution grid, the protections relying on line boundary are no longer applicable. To overcome this problem, the paper proposes a single‐ended protection method independent of line boundary. Firstly, the Peterson equivalent circuit is applied to analyze the amplitude‐time ratio of initial voltage travelling wave (ARIVTW) under internal and external faults. Secondly, the fault direction criterion based on the fault component current and the fault type criterion based on the pole voltage are built. Subsequently, the fault identification criterion is constructed by using the ARIVTW, and the corresponding protection method is formed. Finally, the flexible DC distribution grid is built in PSCAD to verify the proposed method. The simulation results show that the method is robust to fault resistance and noise. Besides, the method realizes the protection of the whole line, which has good selectivity and engineering applicability.
A double‐mode planar argon plume produced by varying the distance from an atmospheric pressure plasma jet
Authors: Wu Kaiyue , Liu Jingnan , Wu Jiacun , Chen Mo , Ran Junxia , Pang Xuexia , Jia Pengying , Li Xuechen , Ren Chenhua 
Published: April 2023

AbstractAtmospheric pressure planar plumes are desirable for the applications of low temperature plasmas, such as rapid modification of large‐scale surfaces. Up to now, only single‐mode planar plumes with either a streamer mode or a filamentary mode have been reported in the literature. Distinctive from the single‐mode planar plumes, a double‐mode argon planar plume has been generated in this article, which operates in the streamer mode with a larger distance away from a plasma jet and transits to the filamentary mode with decreasing the distance. Discharge characteristics and plasma parameters are compared for the two modes. Results indicate that the streamer mode and the filamentary mode correspond to pulsed and humped discharges respectively. Fast photography reveals that the streamer‐mode plume is composed of stochastically branching streamers, while the filamentary‐mode plume results from a series of moving filaments similar to those in barrier discharge. In contrast to the streamer mode, the filamentary mode has lower excited electron temperature and vibrational temperature, whereas higher electron density and gas temperature. In addition, better hydrophilicity of polyethylene terephthalate surface is achieved in the filamentary mode.
Apron surveillance video coding based on compositing virtual reference frame with object library
Authors: Lyu Zonglei , Zhang Bo 
Published: April 2023

AbstractA video coding framework for the apron surveillance scene has been proposed in this paper, which aims to improve coding efficiency by eliminating long‐term redundancy at the object level. To achieve this goal, this study first develops an existing block‐based hybrid video coding framework by exploiting the video redundancy on the object level to perform video coding. Second, an object‐library mechanism is designed to collect the representative object images as coding references on larger temporal and spatial scales. Finally, a virtual reference frame, which blends background and foreground references from the object library, is adaptively composited according to the video content to improve the inter‐prediction performance. Preliminary experimental results demonstrate that the proposed method achieves a high BD rate reduction of up to 23.97% in apron surveillance video sequences, compared to the standard high efficiency video coding (HEVC).
Three‐dimensional single‐shell dielectric lens design using complex coordinates and local axis‐displaced confocal quadrics
Authors: de Assis Aline Rocha , Bergmann José Ricardo , da Silva Moreira Fernando José 
Published: April 2023

AbstractThis study proposes an analytical formulation in complex coordinates to synthesise three‐dimensional single‐shell dielectric lens surfaces. An exact formulation based on geometrical optics is developed, and the synthesis problem is modelled as a non‐linear second‐order partial differential equation of the Monge–Ampère (MA) type. An alternative numerical scheme based on axis‐displaced confocal quadrics is used to locally represent the surface of dielectric lens. The advantage of this approach is to analytically obtain the partial derivatives present in the MA equation. To validate the proposed methodology, numerical results are obtained by an iterative algorithm that allows the simultaneous control of the transmitted beam width and the power density amplitude in the far‐field region. To illustrate the synthesis effectiveness, two examples of lens antennas are simulated and analysed.
Enhanced secrecy outage probability for multiple‐input single‐output‐VLC systems through optical beamforming and improved light emitting diodes deployment
Authors: Mohammadi Mahmoud , Sadough Seyed Mohammad Sajad , Ghassemlooy Zabih 
Published: April 2023

AbstractThe authors propose to arrange the light emitting diodes (LEDs) on the ceiling for an indoor visible light communication system in order to minimise the secrecy outage probability (SOP) at the location of the legitimate user (LU). More precisely, by deriving the secrecy capacity for a multiple‐input single‐output‐VLC system, we evaluate the SOP at the LU's location which is used as the appropriate metric to determine the position of the LEDs on the ceiling. To mitigate the effect of the eavesdropper, we derive the optimal beamforming coefficients which are used at the transmitter LED array with the aim of maximising the signal‐to‐noise ratio at the LU. Simulation results show that for a SOP of 10−4, the proposed SOP‐based LED arrangement with optimal beamforming offers up to 3 dB gain in transmit power compared to the classical uniform LED arrangement with sub‐optimal zero‐forcing beamforming. Moreover, they show that by using the proposed method, the SOP is kept below a desired threshold, over a wider area inside the indoor environment compared to classical methods.
Modelling of microgrids to insure resource adequacy in the capacity market
Authors: Katiraee Haniyeh , Jalili Hassan 
Published: April 2023

AbstractThe penetration of renewable resources in distribution networks have led to the creation of a concept called microgrids. Microgrids act as a bus with the ability to control the amount of consumption and generation, from the viewpoint of system operator. If the amount of capacity that can be provided by microgrids is known, they can be effective in providing resource adequacy and the required capacity of the network. This paper contains two contributions. Modelling of capacity value of a microgrid that includes wind turbines, photovoltaic, non‐renewable generators, loads and batteries is the first innovation of this paper. Here, a capacity value model for microgrids is created for the first time. The application of microgrid capacity value model to a long‐term issue, such as ensuring resource adequacy in the capacity market, constitutes the second innovation of this paper. Consequently, there are two distinct innovations in this work. The presence of microgrids in the capacity market has increased competition and reduced costs, and on the other hand, it will help the microgrids development through their long‐term generation revenues. The proposed method has been tested on IEEE 57‐bus test system. Results have shown the efficiency of using microgrids in the capacity market.
Alternating minimisation approach for direct position determination in passive localisation
Authors: Sabeti Mohsen , Norouzi Yaser 
Published: April 2023

AbstractThis article deals with the source localisation problem when the receiver is moving over time, and the sources are sparse across the area. In addition, only one of the sources is active at each time instant, means that the sources are pulse transmitters. The problem was first formulated such as a dictionary learning problem for sparse representation. Then, an alternating minimisation approach to estimate the position of the sources and their signals iteratively is proposed. Simulation results in different scenarios demonstrate the effectiveness of the proposed method relative to state‐of‐the‐art methods.
100 Jahre Insulin: Wie hat sich die Insulintherapie bei Erwachsenen zwischen 2000 und 2021 verändert?
Authors: Merger Sigrun R. , Eckert Alexander , Bramlage Peter , Hess Gregor M. , Haak Thomas , Welp Reinhard , Wagner Christian , Laimer Markus , Jehle Peter , Holl Reinhard Walter 
Published: April 2023

Zusammenfassung100 Jahre nach Einführung der Insulintherapie haben sich durch pharmakologische Weiterentwicklung der Insuline mit vielfältigen Wirkdauern, aber auch Veränderungen der Applikations- und Messmöglichkeiten, die angewendeten Insulintherapien insbesondere in den letzten 20 Jahren stark verändert, hin zu einer häufigeren Anwendung von Insulinanaloga, insbesondere bei Patienten mit T1DM 1. Bei Typ-2-DM ergibt sich mit unterschiedlichen Strategien der Insulintherapie auch in Kombination mit oralen Antidiabetika für die Patienten ein breites Spektrum an Formen der Insulintherapie. Durch die verschiedenen Applikationsformen und Insuline zeigt sich eine kleine, aber signifikante Verbesserung der Blutzuckereinstellung, aber vor allem eine Individualisierung der Diabetestherapie.
Metabolism Characterization and Chemical and Plasma Stability of Casearin B and Caseargrewiin F
Authors: Oda Fernando Bombarda , Carvalho Flávio Alexandre , Yamamoto Priscila Akemi , de Oliveira Jonata Augusto , Peccinini Rosângela Gonçalves , Zocolo Guilherme Julião , Ribeiro Paulo Riceli Vasconcelos , de Moraes Natália Valadares , dos Santos André Gonzaga 
Published: April 2023

AbstractOral preparations of Casearia sylvestris (guacatonga) are used as antacid, analgesic, anti-inflammatory, and antiulcerogenic medicines. The clerodane diterpenes casearin B and caseargrewiin F are major active compounds in vitro and in vivo. The oral bioavailability and metabolism of casearin B and caseargrewiin F were not previously investigated. We aimed to assess the stability of casearin B and caseargrewiin F in physiological conditions and their metabolism in human liver microsomes. The compounds were identified by UHPLC-QTOF-MS/MS and quantified by validated LC-MS methods. The stability of casearin B and caseargrewiin F in physiological conditions was assessed in vitro. Both diterpenes showed a fast degradation (p < 0.05) in simulated gastric fluid. Their metabolism was not mediated by cytochrome P-450 enzymes, but the depletion was inhibited by the esterase inhibitor NaF. Both diterpenes and their dialdehydes showed a octanol/water partition coefficient in the range of 3.6 to 4.0, suggesting high permeability. Metabolism kinetic data were fitted to the Michaelis-Menten profile with KM values of 61.4 and 66.4 µM and Vmax values of 327 and 648 nmol/min/mg of protein for casearin B and caseargrewiin F, respectively. Metabolism parameters in human liver microsomes were extrapolated to predict human hepatic clearance, and suggest that caseargrewiin F and casearin B have a high hepatic extraction ratio. In conclusion, our data suggest that caseargrewiin F and casearin B present low oral bioavailability due to extensive gastric degradation and high hepatic extraction.