Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel printed monopole antenna for GSM/DCS/PCS/UMTS band operation

This article proposed a design of a monopole antenna with a bent loop slit for GSM900/DCS1800/PCS1900/UMTS applications. The proposed antenna was designed on FR4 substrate and fed by 50 Ω microstrip line. The proposed antenna was first designed a rectangle planar patch to operate at a higher frequency of 1.8 GHz for DCS1800/PCS1900/UMTS applications. Besides, the other operation band of 900 MHz for GSM900 applications has been achieved by inserting a bended slit loop into the rectangle planar patch. Simulated and measured results are shown later. Details of the proposed antenna configuration and experimental results are also discussed. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 2453–2458, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24638
UWB bandpass filter with novel structure and super compact size

An ultra-wideband (UWB) bandpass filter (BPF) with a novel structure and super compact size is presented. This UWB BPF is designed based on a three-line coupled resonator (TLCR), which was used as feedlines in the past. The TLCR has the characteristics of simple structure and wide passband, thus it is very suitable for compact UWB BPF design. Then, four bent stubs are loaded to improve the performance of this filter. Both the simulated and measured results show that this filter has good performance and the size is miniaturised by more than 70% compared with most reported UWB BPFs.
COVID-19 detection using cough sound analysis and deep learning algorithms

Reliable and rapid non-invasive testing has become essential for COVID-19 diagnosis and tracking statistics. Recent studies motivate the use of modern machine learning (ML) and deep learning (DL) tools that utilize features of coughing sounds for COVID-19 diagnosis. In this paper, we describe system designs that we developed for COVID-19 cough detection with the long-term objective of embedding them in a testing device. More specifically, we use log-mel spectrogram features extracted from the coughing audio signal and design a series of customized deep learning algorithms to develop fast and automated diagnosis tools for COVID-19 detection. We first explore the use of a deep neural network with fully connected layers. Additionally, we investigate prospects of efficient implementation by examining the impact on the detection performance by pruning the fully connected neural network based on the Lottery Ticket Hypothesis (LTH) optimization process. In general, pruned neural networks have been shown to provide similar performance gains to that of unpruned networks with reduced computational complexity in a variety of signal processing applications. Finally, we investigate the use of convolutional neural network architectures and in particular the VGG-13 architecture which we tune specifically for this application. Our results show that a unique ensembling of the VGG-13 architecture trained using a combination of binary cross entropy and focal losses with data augmentation significantly outperforms the fully connected networks and other recently proposed baselines on the DiCOVA 2021 COVID-19 cough audio dataset. Our customized VGG-13 model achieves an average validation AUROC of 82.23% and a test AUROC of 78.3% at a sensitivity of 80.49%.
Resistance-dependent amplitude of random telegraph-signal noise in resistive switching memories

Resistive-switching memory (RRAM) is attracting a considerable interest for the development of high-density nonvolatile memories. However, several scaling and reliability issues still affect the development path of RRAM. This work addresses random telegraph-signal noise (RTN) of the RRAM current, potentially affecting the memory stability. We show a clear resistance dependence of the RTN amplitude, and we propose a physical model describing the interaction of the localized current with a fluctuating defect. By estimating the diameter of the conductive filament, the model quantitatively accounts for the observed RTN amplitude, thus allowing for an analytical prediction of state stability in RRAMs.
Randomized approach to determine dynamic strength of ice

The randomized method of Sign-Perturbed Sums (SPS) is applied within the framework of the incubation time approach to evaluate the dynamic strength of ice. The experimental data of [Carney et al., 2006; Wu and Prakash, 2015; Saletti et al., 2019] is analysed in order to estimate strength parameters of ice and describe the observed strain-rate sensitivity curves. The independence of incubation time value on the ice temperature is established in contrast with the significant dependency of the critical stress parameter. The obtained confidence interval of the spalled ice is in good correspondence with the scatter observed experimentally.
Implementations of Heralded Solid‐State SWAP and SWAP$\sqrt {SWAP}$ Gates through Waveguide‐Assisted Interactions

Some heralded schemes are presented for realizing solid‐state quantum gates, including SWAP and SWAP$\sqrt {SWAP}$ gates. They are achieved by emitter‐photon scattering in 1D waveguides, and the qubits are encoded on the degenerate ground states of the solid‐state emitters. The schemes for these two quantum gates feature a filtering mechanism that the faulty scattering events between quantum emitters and photons can be mapped into the heralded photon losses. That is, the protocols can turn physical errors caused by system imperfections into the detection of photon polarization, which is advantageous for quantum information and quantum computation. Furthermore, no auxiliary solid‐state qubits are needed in our schemes, which reduces not only quantum resource but also error. The calculations reveal that the success probabilities and fidelities of the two quantum gates are high with current experimental technologies.
Small-GEAR in the Specific Scenarios of Small Network

GEAR is an important geographic and energy aware routing protocol in wireless sensor network. As the GEAR is short of enough topology knowledge and the nodes energy is limited, routing void and routing loop will be arisen. This paper presents a smart energy aware routing protocol based on the geographic (SGEAR), which is suitable for the specific scenarios of small network. In the specific scenarios of small network, there are three major nodes to concentrate on, (1) the selected (2) the void (3) the residual energy is less than threshold. The SGEAR modifies the cost functions based on the residual energy, escaping the routing loop caused by the broadcast delay. From the simulations, the conclusions can be drawn that the smaller hop count doesnt indicate the less energy consumption, and SGEAR can reduce the void number, reducing the energy consumption of the entire network, which further prolongs the life of the network to satisfy the need of the specific scenarios of small network.
Modelo de Gerenciamento da Logística Reversa

The increased number of items with a shorter useful life, the massive use of e-commerce, and increased environmental awareness with increasingly demanding laws on disposal of products, have created a large amount of returns increasing the importance of Reverse Logistics for society and companies, in general. However, according to the literature, Reverse Logistics is still a poorly explored activity, and therefore there are no concrete data to work with and to explore opportunities for improvement. With the goal of bridging this gap, a literature review on the relationship between Reverse Logistics and business performance was conducted in addition to a study carried out in the companies to investigate how this relationship is established. As the main result, which is directly related to the objectives of this study, a conceptual model that contributes to a better understanding of the reverse logistic process was developed. This model includes performance indicators suitable for evaluating the activity. Another objective of this study is the use of the multiple-criteria decision making approach, a tool that simplifies the selection of indicators according the company strategies.
Correlation of Serum Albumin Level to Lung Ultrasound Score and Its Role as Predictors of Outcome in Acute Respiratory Distress Syndrome Patients: A Prospective Observational Study

Background There is ambiguity in the literature regarding hypoalbuminemia as a cause of extravascular lung water and acute respiratory distress syndrome (ARDS) outcomes. The aim of the study was to determine if low serum albumin on admission leads to lung deaeration and higher lung ultrasound score (LUSS) in ARDS patients. Patients and Methods. It was a prospective observational study in which 110 ARDS patients aged between 18 and 70 years were recruited. Serum albumin level and lung ultrasound score were assessed on the day of ICU admission. Length of ICU stay and hospital mortality were recorded. Results The mean and standard deviation of serum albumin level in mild, moderate, and severe ARDS was 2.92 ± 0.65 g/dL, 2.91 ± 0.77 g/dL, and 3.21 ± 0.85 g/dL, respectively. Albumin level was not correlated to the global LUSS (Pearson correlation r −0.006, p=0.949) and basal LUSS (r −0.066, p=0.513). The cut-off value of albumin for predicting a prolonged length of ICU stay (≥10 days) in ARDS patients was <3.25 g/dL with AUC 0.623, p < 0.05, sensitivity of 86.67%, specificity of 45.45%, and 95% confidence interval (CI) [0.513–0.732], and on multivariate analysis it increased the odds of prolonged ICU stay by 8.9 times (Hosmer and Lemeshow p value 0.810, 95% CI [2.760–28.72]). Serum albumin at admission was not a predictor of mortality. LUSS on the day of admission was not useful to predict either a prolonged length of ICU stay or mortality. Basal LUSS contributed about 56% of the global LUSS in mild and moderate ARDS, and 53% in severe ARDS. Conclusion Serum albumin level was unrelated to LUSS on admission in ARDS patients. Albumin level <3.25 g/dL increased the chances of a prolonged length of ICU stay (≥10 days) but was not associated with an increase in mortality. LUSS on the day of admission could not predict either a prolonged length of ICU stay or mortality. This trial is registered with CTRI/2019/11/021857.
Chemical and Bioactive Characterization of the Essential Oils Obtained from Three Mediterranean Plants

Cupressus sempervirens L. , Juniperus communis L. and Cistus ladanifer L. are Mediterranean arboreal and shrub species that possess essential oils (EO) in their leaves and branches. This study aimed at characterizing the EOs obtained by steam distillation from the three species collected in different locations from Spain (Almazán, Andévalo, Barriomartín, Cerezal, Ermitas and Huéscar). For this purpose, volatiles composition was determined by GC-MS, and different bioactivities were evaluated. The highest content in terpenes was observed in C. sempervirens (Huéscar origin) followed by J. communis (Almazán origin), corresponding to 92% and 91.9% of total compounds, respectively. With exception of C. ladanifer from Cerezal that presented viridiflorol as the most abundant compound, all the three species presented in common the α-pinene as the major compound. The EOs from C. ladanifer showed high antibacterial potential, presenting MIC values from 0.3 to 1.25 mg/mL. Concerning other bioactivities, C. ladanifer EO revealed an oxidation inhibition of 83%, while J. communis showed cytotoxicity in the MCF-7 cell line, and C. sempervirens and C. ladanifer EOs exhibited the highest potential on NCI-H460 cell lines. Nevertheless, some EOs revealed toxicity against non-tumoral cells but generally presented a GI50 value higher than that of the tumor cell lines.
Protective Effect of Buyang Huanwu Decoction on Cerebral Ischemia Reperfusion Injury by Alleviating Autophagy in the Ischemic Penumbra

Objectives To evaluate the protective effect of Buyang Huanwu Decoction (BHD) against cerebral ischemia reperfusion and investigate whether autophagy is involved in its mechanism of action. Methods Adult male Sprague Dawley rats were randomly divided into three groups: the sham, cerebral ischemia reperfusion (I/R), and I/R + BHD groups. A rat model of cerebral I/R injury was established via middle cerebral artery occlusion (MCAO) for 2 h, followed by 1, 3, and 7 d of reperfusion. Neurological scores and regional cerebral blood flow were assessed to determine whether the model was successfully established. Brain infarct volume was determined by 2,3,5-triphenyl tetrazolium chloride (TTC) staining. The apoptosis rate was detected using TdT-mediated dUTP Nick-End Labeling (TUNEL) staining, and neuronal damage was evaluated by Nissl staining. The Beclin-1 and LC3 protein levels in the ischemic core, penumbra, and contralateral area were analysed by Western blotting. The occurrence of autophagy in the penumbra was observed by transmission electron microscopy (TEM). Results BHD treatment alleviated the cerebral infarct volume, neuronal apoptosis rate, and neuronal damage 3 and 7 d after cerebral I/R injury. Furthermore, 3 d after reperfusion, we observed that the Beclin-1 levels were significantly decreased in the core in the I/R group, whereas transformation of LC3 I to LC3 II exhibited no obvious differences between the sham and I/R groups. In the penumbra, the Beclin-1 levels and transformation of LC3 I to LC3 II in the I/R group were significantly increased compared with that in the sham group. However, no significant difference in the contralateral area was noted between the two groups. BHD significantly inhibited the expression of Beclin-1 and the transformation of LC3 I to LC3 II in the penumbra after cerebral I/R injury but yielded no significant changes in the core and contralateral area. Conclusions BHD exerts a neuroprotective effect by inhibiting autophagy in neurons in the penumbra after cerebral I/R injury.
Deriving Implications for Care Delivery in Parkinson’s Disease by Co-Diagnosing Caregivers as Invisible Patients

For persons with Parkinson’s disease, the loss of autonomy in daily life leads to a high level of dependency on relatives’ support. Such dependency strongly correlates with high levels of perceived stress and psychosocial burden in informal caregivers. Global developments, such as demographic change and the associated thinning infrastructure in rural areas cause a continuously growing need for medical and nursing care. However, this need is not being adequately met. The resulting care gap is being made up by unpaid or underpaid work of informal caregivers. The double burden of care work and gainful employment creates enormous health-related impairments of the informal caregivers, so that they eventually become invisible patients themselves. Expectedly, those invisible patients do not receive the best care, leading to a decrease in quality of life and, in the end, to worse care for PD patients. Suggested solutions to relieve relatives, such as moving the person affected by Parkinson’s to a nursing home, often do not meet the wishes of patients and informal caregivers, nor does it appear as a structural solution in the light of demographic change against an economic background. Rather, it requires the development, implementation and evaluation of new, holistic approaches to care that make invisible patients visible.
Robust multi‐model control of an autonomous wind power system

This article presents a robust multi-model control structure for a wind power system that uses a variable speed wind turbine (VSWT) driving a permanent magnet synchronous generator (PMSG) connected to a local grid. The control problem consists in maximizing the energy captured from the wind for varying wind speeds. The VSWT-PMSG linearized model analysis reveals the resonant nature of its dynamic at points on the optimal regimes characteristic (ORC). The natural frequency of the system and the damping factor are strongly dependent on the operating point on the ORC. Under these circumstances a robust multi-model control structure is designed. The simulation results prove the viability of the proposed control structure. Copyright © 2006 John Wiley & Sons, Ltd.
Concept Formation in Physics from a Linguist’s Perspective

: This chapter explores concept formation in physics from a linguist ’ s point of view. After some preliminary reflections on conceptual structures, the chapter attempts to demonstrate that the key concept of modern physics is the body concept as introduced by Galileo. In stark contrast to the concepts we usu-ally possess, the body concept is an operational concept, i.e. a concept the purpose of which is the levelling of ontological differences. Employing operational concepts in the natural sciences shifts the line of inquiry from how natural things are to how we can manipulate them. The answers we get to such questions are – even though they involve nature – not about nature, but about our interaction with nature. If we continue forgetting about the role of human agents in scientific inquiry, physics may, however, prevail at the very bottom of the epistemological well at which Eugene Wigner marvelled at the “ the miracle of the appropriateness of the language of mathematics for the formulation of the laws of physics ” .
Maximum achievable efficiencies for pulse position modulation in optical communication systems

The maximum achievable characteristics of optical communication systems with different kinds of pulse position modulation have been investigated within the framework of the number-state model. It is shown that the ultimate efficiency in optical systems with ordinary pulse position modulation is determined by the ratio of the number of photons in the signal chip to the number of chips in the signal frame. Maximum achievable efficiencies of all considered methods is compared also. The companions shows that at great values of modulation format the ultimate efficiency of pulse position modulation is higher than that of the multipulse modulation. Overlapping pulse position modulation is shown to be the most favorable one for communication channels. The application of additional encoding to such systems allows to achieve the highest power efficiency of information transmission in optical communication channels.
Extracorporeal Membrane Oxygenation Support for Influenza A: Retrospective Review of the Extracorporeal Life Support Organization Registry Comparing H1N1 With Other Subtypes

Supplemental Digital Content is available in the text. OBJECTIVES: Although there is a substantial published experience of extracorporeal membrane oxygenation during the H1N1 pandemic, less is known about the use of extracorporeal membrane oxygenation in patients with other subtypes of the influenza A virus. We hypothesized that the severity of illness and survival of patients supported with extracorporeal membrane oxygenation would differ for those with H1N1 influenza A compared with other subtypes of influenza A. DESIGN, SETTING, PATIENTS: Retrospective study of extracorporeal membrane oxygenation–supported adults (> 18 yr) with influenza A viral infection reported to the Extracorporeal Life Support Organization Registry between 2009 and 2019. We describe the frequency and compare characteristics and factors associated with in-hospital survival using a least absolute shrinkage and selection operator regression analysis. MAIN OUTCOMES AND MEASURES: Of 2,461 patients supported with extracorporeal membrane oxygenation for influenza A, 445 had H1N1, and 2,004 had other subtypes of influenza A. H1N1 was the predominant subtype between 2009 and 2011. H1N1 patients were younger, with more severe illness at extracorporeal membrane oxygenation cannulation and higher reported extracorporeal membrane oxygenation complications than those with other influenza A subtypes. Patient characteristics including younger age and higher weight and patient management characteristics including longer ventilation duration before extracorporeal membrane oxygenation were associated with worse survival. Extracorporeal membrane oxygenation complications were associated with reduced survival. There was no difference in survival to hospital discharge according to influenza subtype after adjusting for other characteristics. CONCLUSIONS: Patients supported with extracorporeal membrane oxygenation for H1N1 were younger, with more severe illness than those supported for other influenza A subtypes. Survival to hospital discharge was associated with patient characteristics, management characteristics, and extracorporeal membrane oxygenation complications but was not impacted by the specific influenza A subtype.
On the track of bruxism: quantitative, qualitative and intraindividual analyses of the BruxChecker in daily clinical routine

Introduction Bruxism is a relevant topic in daily dental routine. Bruxism has to be confirmed by instrumental procedures. The BruxChecker (BC) is an inexpensive instrument that does not affect the stomatognathic system while used and is suitable for routine use in diagnostics and follow-ups. A novel digital approach for analyzing BC is described, based on first standard values. Material and Method Within this pilot study, 30 participants (15 males, 15 females) used an upper BC for one night and a lower BC during another night. A standardized digitalization process and a unique software application measured all Tooth Contact Areas (TCAs) on the BC: number and size of each TCAs for each occlusal segment. Results The mean number of TCAs on upper BC is 28.17 (sd +/-7.84), for lower BC 27.70 (sd +/-7.41). The mean size (mm2) of TCAs on upper BC is 71.81 (sd +/-51.27), for lower BC 68.11 (sd +/-42.64). There are only minor, not significant, gender differences regarding the number and size of TCAs. The transversal right-left TCAs distribution is almost symmetrical; a slightly increased difference can be observed for the size of TCAs right and left. The sagittal distribution of the TCAs shows the dominance of the posterior contacts, while the intermediate segments are least involved. Conclusion Within the limits of this pilot study and based on the digital analyses of TCAs on BC, the paper presents first standard values and a two-step systematic individual BC analysis.
Obstacle detection algorithms with dealing with vagueness of sensing signals

This paper presents the new method to deal with both range data and image data with data vagueness in sensor fusion process. Using laser range finder in this study, range data and image data are obtained. In our method, comparing range data and road model without any obstacles, the possibility index of obstacle existence is defined. Sensor fusion both range data and image data are carried out considering data vagueness. The method is tested by real data and evaluated.
Effect of operational modes of a wind farm on the transient stability of nearby generators and on power oscillations: a Nordic grid study

In this work, an operational mode of variable speed wind turbines to enhance the transient stability of nearby conventional generators is presented and investigated. This mode is then tested on the CIGRE Nordic32 test grid which is taken as a representation of the Swedish transmission network. It is found that by incorporating the suggested mode into the control of several planned wind farms in the southern part of the Swedish grid, the transient stability of nearby conventional generators can be increased compared to the base case where no wind farms were connected. It is also concluded that care has to be taken when selecting the control mode of a wind farm (constant power factor operation or voltage control operation) in a particular situation when it is connected together with a nearby conventional synchronous generator. The interaction between the operational mode of a wind farm and the overall synchronous generator control may interact with each other and could lead to a reduction of damping of power oscillations in nearby transmission lines instead of increasing the damping. Copyright © 2007 John Wiley & Sons, Ltd.