bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reconfigurable metamaterial for asymmetric and symmetric elastic wave absorption based on exceptional point in resonant bandgap
Authors: Yi Jianlin , Wu Zheng , Xia Rongyu , Li Zheng 
Published: December 2022

AbstractElastic wave absorption at subwavelength scale is of significance in many engineering applications. Non-Hermitian metamaterials show the ability in high-efficiency wave absorption. However, the single functionality of metamaterials is an important limitation on their practical applications for lack of tunability and reconfigurability. Here, we propose a tunable and reconfigurable non-Hermitian piezoelectric metamaterial bar, in which piezoelectric bars connect with resonant circuits, to achieve asymmetric unidirectional perfect absorption (UPA) and symmetric bidirectional perfect absorption (PA) at low frequencies. The two functions can be arbitrarily switched by rearranging shunted circuits. Based on the reverberation-ray matrix (RRM) method, an approach is provided to achieve UPA by setting an exceptional point (EP) in the coupled resonant bandgap. By using the transfer matrix method (TMM) and the finite element method (FEM), it is observed that a non-Hermitian pseudo-band forms between two resonant bandgaps, and the EP appears at the bottom of the pseudo-band. In addition, the genetic algorithm is used to accurately and efficiently design the shunted circuits for desired low-frequency UPA and PA. The present work may provide new strategies for vibration suppression and guided waves manipulation in wide potential applications.
Wave propagation analysis of porous functionally graded piezoelectric nanoplates with a visco-Pasternak foundation
Authors: Li Zhaonian , Liu Juan , Hu Biao , Wang Yuxing , Shen Huoming 
Published: December 2022

AbstractThis study investigates the size-dependent wave propagation behaviors under the thermoelectric loads of porous functionally graded piezoelectric (FGP) nanoplates deposited in a viscoelastic foundation. It is assumed that (i) the material parameters of the nanoplates obey a power-law variation in thickness and (ii) the uniform porosity exists in the nanoplates. The combined effects of viscoelasticity and shear deformation are considered by using the Kelvin-Voigt viscoelastic model and the refined higher-order shear deformation theory. The scale effects of the nanoplates are captured by employing nonlocal strain gradient theory (NSGT). The motion equations are calculated in accordance with Hamilton’s principle. Finally, the dispersion characteristics of the nanoplates are numerically determined by using a harmonic solution. The results indicate that the nonlocal parameters (NLPs) and length scale parameters (LSPs) have exactly the opposite effects on the wave frequency. In addition, it is found that the effect of porosity volume fractions (PVFs) on the wave frequency depends on the gradient indices and damping coefficients. When these two values are small, the wave frequency increases with the volume fraction. By contrast, at larger gradient index and damping coefficient values, the wave frequency decreases as the volume fraction increases.
SIRT1 pathway in Parkinson’s disease: a faraway snapshot but so close
Authors: Batiha Gaber El-Saber , Al-kuraishy Hayder M. , Al-Gareeb Ali I. , Elekhnawy Engy 
Published: December 2022

AbstractSilent information regulator (SIRT) has distinctive enzymatic activities and physiological functions to control cell-cycle progression, gene expression, and DNA stability by targeting histone and non-histone proteins. SIRT1 enhances synaptic formation and synaptic activity, and therefore, can reduce the progression of various degenerative brain diseases including Parkinson’s disease (PD). SIRT1 activity is decreased by aging with a subsequent increased risk for the development of degenerative brain diseases. Inhibition of SIRT1 promotes inflammatory reactions since SIRT1 inhibits transcription of nuclear factor kappa B (NF-κB) which also inhibits SIRT1 activation via activation of microRNA and miR-34a which reduce NAD synthesis. SIRT1 is highly expressed in microglia as well as neurons, and has antioxidant and anti-inflammatory effects. Therefore, this review aimed to find the possible role of SIRT1 in PD neuropathology. SIRT1 has neuroprotective effects; therefore, downregulation of SIRT1 during aging promotes p53 expression and may increase the vulnerability of neuronal cell deaths. PD neuropathology is linked with the sequence of inflammatory changes and the release of pro-inflammatory cytokines due to the activation of inflammatory signaling pathways. In addition, oxidative stress, inflammatory disorders, mitochondrial dysfunction, and apoptosis contribute mutually to PD neuropathology. Thus, SIRT1 and SIRT1 activators play a crucial role in the mitigation of PD neuropathology through the amelioration of oxidative stress, inflammatory disorders, mitochondrial dysfunction, apoptosis, and inflammatory signaling pathways.
A new infinite family of star normal quotient graphs of twisted wreath type
Authors: Kaja Eda , Morgan Luke 
Published: December 2022

AbstractWe construct the first infinite families of locally 2-arc transitive graphs with the property that the automorphism group has two orbits on vertices and is quasiprimitive on exactly one orbit, of twisted wreath type. This work contributes to Giudici, Li and Praeger’s program for the classification of locally 2-arc transitive graphs by showing that the star normal quotient twisted wreath category also contains infinitely many graphs.
A Process Related View on the Usage of Electronic Health Records from the Patients’ Perspective: A Systematic Review
Authors: Griesser Anna , Bidmon Sonja 
Published: December 2022

AbstractBackgroundIn recent years, there has been an increasing interest in electronic health record (EHR) systems and various approaches of encouraging acceptance. Multiple methods of EHR acceptance have been proposed. However, a systematic review of patient's perspectives of their role and challenges in processing EHR remains lacking. Moreover, so far, there has been little discussion about barriers and facilitators of EHR system acceptance and usage from the patients' perspective.MethodsThe study was reported according to the PRISMA statement. Six databases were systematically searched using keywords for articles from 2002–2020. We reviewed these data and used an inductive approach to analyse findings.ResultsA total of 36 studies met the inclusion criteria. Our systematic literature review results reveal a wide range of barriers and facilitators assigned to four distinct stages of EHR system usage: awareness, adoption, behaviour and perception, and consequences. Results were described in a narrative synthesis of the included empirical studies.DiscussionResults underline the necessity to put a particular emphasis – but not exclusively – on the initial stage of awareness in the future. Further research in the field is therefore strongly recommended in order to develop tailored mediated communication to foster EHR system usage in the long run.
Learning multi-agent coordination through connectivity-driven communication
Authors: Pesce Emanuele , Montana Giovanni 
Published: December 2022

AbstractIn artificial multi-agent systems, the ability to learn collaborative policies is predicated upon the agents’ communication skills: they must be able to encode the information received from the environment and learn how to share it with other agents as required by the task at hand. We present a deep reinforcement learning approach, Connectivity Driven Communication (CDC), that facilitates the emergence of multi-agent collaborative behaviour only through experience. The agents are modelled as nodes of a weighted graph whose state-dependent edges encode pair-wise messages that can be exchanged. We introduce a graph-dependent attention mechanisms that controls how the agents’ incoming messages are weighted. This mechanism takes into full account the current state of the system as represented by the graph, and builds upon a diffusion process that captures how the information flows on the graph. The graph topology is not assumed to be known a priori, but depends dynamically on the agents’ observations, and is learnt concurrently with the attention mechanism and policy in an end-to-end fashion. Our empirical results show that CDC is able to learn effective collaborative policies and can over-perform competing learning algorithms on cooperative navigation tasks.
Two-field formulation of the inertial forces of a geometrically-exact beam element
Authors: Sonneville Valentin , Géradin Michel 
Published: December 2022

AbstractAn independent velocity field is introduced via Legendre transformation of the kinetic energy of a geometrically-exact beam, leading to a first-order system of twice as many governing equations as a one-field formulation. Nevertheless, the new field does not have to be assembled across elements and can be eliminated at the element level, so that the assembled system has the same size as a one-field formulation. Furthermore, because the new field does not have to satisfy the compatibility equations that the original velocity field is subjected to, its finite-element discretization is simpler and leads to simplified inertial forces.
Greek non-negative min, epistemic modality, and positive bias
Authors: Tsiakmakis Evripidis , Borràs-Comes Joan , Espinal M. Teresa 
Published: December 2022

AbstractModern Greek displays two variants of the wordmin; one corresponds to a negative marker, and the other corresponds to an epistemic modal. We focus on the latter and provide, for the first time to our knowledge, experimental evidence on its exact interpretation, showing that (i) non-negativeminis incompatible with the overt realization of polar propositional alternatives {p,¬p}, (ii) it conveys medium speaker certainty with respect to the expressed propositionp, and (iii) it encodes speaker bias in favor ofp. Our findings support the novel generalization that non-negativeminis uniformly interpreted as conveying that the speaker is neither unbiased nor negatively biased (as suggested by the previous literature on the topic), but positively biased with respect to a propositionp. We argue that non-negativeminis a biased epistemic modal that needs to be licensed by an external non-veridical operator.
Phragmites australis invasion and herbicide-based control changes primary production and decomposition in a freshwater wetland
Authors: Yuckin Sarah Jennifer , Howell Graham , Robichaud Courtney Dawn , Rooney Rebecca Campbell 
Published: December 2022

AbstractWetlands are important global carbon sinks, an increasingly important ecosystem service. Invasive plants can disrupt wetland carbon budgets, although efforts to suppress invasive plants may also have unintended effects. InvasivePhragmites australissubsp.australis(European common reed) produces extensive monocultures that displace resident plant communities. In Long Point (Ontario, Canada), a glyphosate-based herbicide was used to control over 900 ha ofP. australis. We determined how this ongoing management, and different environmental conditions, influence net primary productivity and decomposition rates. We compared above- and below-ground biomass, belowground:aboveground biomass ratios, standing dead stems, and litter in un-treatedP. australisstands, in herbicide-treated areas, and in reference vegetation. We also conducted a reciprocal transplant experiment to measure the decomposition rates of plant litter. One-year post-treatment, control efforts dramatically reduced aboveground biomass (122 g/m2 ± 133 SD) compared to un-treatedP. australis(1254 g/m2 ± 449 SD) and reference habitat (821 g/m2 ± 335 SD). An interaction between the plant community of the site and water depth predicted litter decomposition rates, with litter loss ranging from 5.75 to 74.65% across all species, and submerged litter decomposing faster. These results emphasize that secondary treatment, such as rolling, burning, or cutting, encourages the decomposition of deadP. australisstems, opening up space for the recovery of native plants. While herbicide-treated sites had low biomass immediately following treatment, aquatic vegetation began rapidly colonizing treated areas, suggesting that plant community recovery may restore the wetland carbon uptake in subsequent years.
Competencies for the artificial intelligence age: visualisation of the state of the art and future perspectives
Authors: Santana Mónica , Díaz-Fernández Mirta 
Published: December 2022

AbstractThe objective of this paper is to perform an in-depth analysis of the literature on the competencies for implementing and leveraging artificial intelligence (AI) within organisations. From a bibliometric study using SciMat with articles from the Web of Science database, we identified 421 papers published between 1992 and 2020. This study offers a systematisation of the competencies and skills for AI, highlighting the most prominent, basic, specialised and emerging themes, and providing a performance measure analysis of this field. In addition, major challenges and a research agenda are discussed. The organisational challenge is to achieve a workforce with the necessary digital competencies, and to adapt human resource management practices to AI challenges.
Selenium Speciation Analysis Reveals Improved Antioxidant Status in Finisher Pigs Fed l-Selenomethionine, Alone or Combined with Sodium Selenite, and Vitamin E
Authors: Reinoso-Maset Estela , Falk Michaela , Bernhoft Aksel , Ersdal Cecilie , Framstad Tore , Fuhrmann Herbert , Salbu Brit , Oropeza-Moe Marianne 
Published: December 2022

AbstractConditions associated with selenium (Se) and/or vitamin E (VitE) deficiency are still being reported in high-yielding pigs fed the recommended amounts. Here, the dietary effects of Se source (sodium selenite, NaSe, 0.40 or 0.65 mg Se/kg; l-selenomethionine, SeMet, 0.19 or 0.44 mg Se/kg; a NaSe-SeMet mixture, SeMix, 0.44–0.46 mg Se/kg) and VitE concentration (27, 50–53 or 101 mg/kg) on the antioxidant status of finisher pigs were compared with those in pigs fed non-Se-supplemented diets (0.08–0.09 mg Se/kg). Compared to NaSe-enriched diets, SeMet-supplemented diets resulted in significantly (p < 0.0018) higher plasma concentrations of total Se (14–27%) and selenospecies (GPx3, SelP, SeAlb; 7–83%), significantly increased the total Se accumulation in skeletal muscles, myocardium, liver and brain (10–650%), and enhanced the VitE levels in plasma (15–74%) and tissues (8–33%) by the end of the 80-day trial, proving better Se distribution and retention in pigs fed organic Se. Injecting lipopolysaccharide (LPS) intravenously half-way into the trial provoked a pyrogenic response in the pigs followed by a rapid increase of inorganic Se after 5–12 h, a drastic drop of SeMet levels between 12 and 24 h that recovered by 48 h, and a small increase of SeCys by 24–48 h, together with a gradual rise of GPx3, SelP and SeAlb in plasma up to 48 h. These changes in Se speciation in plasma were particularly significant (0.0024 > p > 0.00007) in pigs receiving SeMet- (0.44 mg Se/kg, above EU-legislated limits) or SeMix-supplemented (SeMet and NaSe both at 0.2 mg Se/kg, within EU-legislated limits) diets, which demonstrates Se metabolism upregulation to counteract the LPS-induced oxidative stress and a strengthened antioxidant capacity in these pigs. Overall, a Se source combination (without exceeding EU-legislated limits) and sufficient VitE supplementation (≥ 50 mg/kg) improved the pigs’ antioxidant status, while doubling the allowed dietary organic Se increased the Se in tissues up to sixfold without compromising the animal’s health due to toxicity. This study renders valuable results for revising the current dietary SeMet limits in swine rations.
Graphical Abstract
The performance of levothyroxine tablet is impaired by bariatric surgery
Authors: Trimboli Pierpaolo , Ossola Nicola , Torre Alessandro , Mongelli Francesco , Quarenghi Massimo , Camponovo Chiara , Lucchini Barbara , Rotondi Mario , Ruinelli Lorenzo , Garofalo Fabio 
Published: December 2022

Abstract
Objective
The aim was to evaluate if bariatric surgery can affect the LT4 performance. The endpoints were the following: 1) difference between LT4 daily dose before and 1 year after surgery, 2) difference between LT4 dose per weight before and 1 year after surgery, 3) difference among LT4 preparations.

Methods
The study period was between January 2018 and May 2022. Inclusion criteria were a) adults undergone bariatric surgery, b) with proven autoimmune hypothyroidism, c) on LT4 therapy before bariatric surgery, d) using any commercialized LT4 preparation. Excluded were patients a) proven to have or suspected for pre-surgical intestinal malabsorption, b) with other potential interfering factors on LT4 absorption; c) with heart, renal, and/or hepatic failure, d) with recent/current infection/inflammation, e) in pregnancy, f) with incomplete data about LT4 therapy.

Results
According to the selection criteria, 40 patients were included. Both TSH and LT4 daily doses were not significantly different with respect to baseline values. On the contrary, the LT4 dose per weight was significantly increased, especially in RYGB patients. An increased LT4 dose per weight was observed with the reduction of weight.

Conclusion
One year after bariatric surgery 1) the daily dose of LT4 remains unchanged, and 2) despite the significant weight reduction, LT4 dose per weight increases. Most data are referred to LT4 tablet and the performance of LT4 caps should be further investigated.
Parameter-uniform convergence analysis of a domain decomposition method for singularly perturbed parabolic problems with Robin boundary conditions
Authors: Kumar Sunil , Aakansha  , Singh Joginder , Ramos Higinio 
Published: December 2022

AbstractWe construct and analyze a domain decomposition method to solve a class of singularly perturbed parabolic problems of reaction-diffusion type having Robin boundary conditions. The method considers three subdomains, of which two are finely meshed, and the other is coarsely meshed. The partial differential equation associated with the problem is discretized using the finite difference scheme on each subdomain, while the Robin boundary conditions associated with the problem are approximated using a special finite difference scheme to maintain the accuracy. Then, an iterative algorithm is introduced, where the transmission of information to the neighbours is done using a piecewise linear interpolation. It is proved that the resulting numerical approximations are parameter-uniform and, more interestingly, that the convergence of the iterates is optimal for small values of the perturbation parameters. The numerical results support the theoretical results about convergence.
Simultaneous treatment of fruit juice industry wastewater and single-cell protein synthesis using purple non-sulfur bacteria
Authors: Rashid Naim , Abdelnabi Mirna N. A. , Vincent Annette Shoba , Mackey Hamish R. 
Published: December 2022

AbstractFruit juice industry wastewater is characterized by high chemical oxygen demand (COD) and low pH, which requires extensive energy if treated aerobically and can adversely affect aquatic organisms if discharged into water bodies without proper treatment. In this study, purple non-sulfur bacteria (PNSB) were employed to recover carbon through photoanaerobic treatment in the form of single-cell protein (SCP) suitable for aquaculture and rich in carotenoid and bacteriochlorophyll photopigments. The efficacy of PNSB was investigated using two types of wastewaters, citrus juice wastewater (CJW), and mixed juice wastewater (MJW) as substrates at different pH conditions (5.0–8.0). pH 8.0 showed the highest COD removal in CJW (89 ± 0.1%) and pH 7.0 in MJW (94 ± 1%), respectively. The biomass yields were 0.493 g-VSS·g-COD−1 and 0.397 g-VSS·g-COD−1 for CJW and MJW. SCP contents in CJW and MJW were 48 ± 1% and 40 ± 3%, respectively. Pigment analysis revealed that PNSB biomass contained carotenoids and bacteriochlorophyll. Carotenoids in CJW and MJW were 1354 ± 64 µg·g−1 and 1558 ± 218 µg·g−1 of biomass; bacteriochlorophyll contents were 2097 ± 110 µg·g−1 and 3100 ± 614 µg·g−1 of biomass, respectively. The microbial population showed diversity among the two substrates and pH conditions, with PNSB comprising potentially up to 51% of microbes in the culture. The results demonstrate that PNSB could be used as potential mediators to treat fruit juice wastewater, and produce SCP, and photopigments simultaneously.
Brain abscess with Ureaplasma parvum in a patient with granulomatosis with polyangiitis
Authors: Madlener Marie , Breuninger Marianne , Meißner Arne , Stetefeld Henning , Telentschak Sergej , Wille Thorsten , van Eimeren Thilo , Jung Norma 
Published: December 2022

Abstract
Purpose
Ureaplasma species are associated with urogenital infections, infertility and adverse pregnancy outcomes as well as neonatal infections. Involvement of the central nervous system in adults is extremely rare. We report an unusual case of a brain abscess secondary to otitis media with Ureaplasma parvum in a patient with granulomatosis with polyangiitis (GPA).

Methods
Imaging and laboratory findings, treatment decisions, and outcome of this case are explicated.

Results
A young adult with GPA presented with progredient earache after ambulant diagnosis of otitis media. Despite different courses of broad-spectrum antibiotic therapy, she developed meningoencephalitis due to mastoiditis following temporal abscess formation. Mastoidectomy and neurosurgical abscess removal were performed. Standard cultures of cerebrospinal fluid, blood and intracranial abscess material, as well as polymerase chain reaction (PCR) for common bacterial and viral meningitis pathogens remained negative. Only eubacterial PCR of intracranial abscess material returned positive for Ureaplasma parvum. The patient finally improved under antibiotic therapy with moxifloxacin and doxycycline.

Conclusion
Ureaplasma species are rare causative pathogens in immunocompromised patients. They should be considered in patients with humoral immunodeficiencies with culture-negative infections failing standard therapy. Eubacterial PCR should be performed in early states of infection in these patients for immediate diagnosis and initiation of appropriate treatment to prevent adverse outcomes.
A hybrid temporal convolutional network and Prophet model for power load forecasting
Authors: Mo Jinyuan , Wang Rui , Cao Mengda , Yang Kang , Yang Xu , Zhang Tao 
Published: December 2022

AbstractAccurate and effective power system load forecasting is an important prerequisite for the safe and stable operation of the power grid and the normal production and operation of society. In recent years, convolutional neural networks (CNNs) have been widely used in time series prediction due to their parallel computing and other characteristics, but it is difficult for CNNs to capture the relationship of sequence context and meanwhile, it easily leads to information leakage. To avoid the drawbacks of CNNs, we adopt a temporal convolutional network (TCN), specially designed for time series. TCN combines causal convolution, dilated convolution, and residual connection, and fully considers the causal correlation between historical data and future data. Considering that the power load data has strong periodicity and is greatly influenced by seasons and holidays, we adopt the Prophet model to decompose the load data and fit the trend component, season component, and holiday component. We use TCN and Prophet to forecast the power load data respectively, and then use the least square method to fuse the two models, and make use of their respective advantages to improve the forecasting accuracy. Experiments show that the proposed TCN-Prophet model has a higher prediction accuracy than the classic ARIMA, RNN, LSTM, GRU, and some ensemble models, and can provide more effective decision-making references for power grid departments.