Miracle-dz/UniFAR-FTUs huggingface dataset:
A Lowpass Filter with Sharp Roll - off and High Relative Stopband Bandwidth Using Asymmetric High - Low Impedance Patches

In this letter, a microstrip lowpass filter with 3 dB cut-off frequency at 1.286 GHz is proposed. By using two main resonators which are placed symmetrically around (Y) axis a sharp roll-off rate (250 dB/GHz) is obtained. The proposed resonators are consisted of two asymmetric high-low impedance patches. To achieve a high relative stopband bandwidth (1.82) four high-low impedance resonators and four radial stubs as suppressing cells are employed. Furthermore, a flat insertion loss in the passband and a low return loss in the stopband can prove desired in-band and out-band frequency response. The proposed lowpass filter has a high gure of merit about 63483.
When Infections Don’t Reflect Infectiousness: Interpreting Contact Investigation Data With Care

e3456 • cid 2021:73 (1 November) • EDITORIAL COMMENTARY Received 24 July 2020; editorial decision 29 July 2020; accepted 31 July 2020; published online August 8, 2020. Correspondence: E. A. Kendall, Johns Hopkins University School of Medicine, 1550 Orleans Street Room 106, Baltimore, MD 21287 (ekendall@jhmi.edu). Clinical Infectious Diseases 2021;73(9):e3456–8 © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. DOI: 10.1093/cid/ciaa1144 When Infections Don’t Reflect Infectiousness: Interpreting Contact Investigation Data With Care
Lessons learned from early compassionate use of convalescent plasma on critically ill patients with Covid‐19

The management of critically ill patients with coronavirus disease 2019 (COVID‐19), caused by a new human virus severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), is challenging. Recently, there have been several reports with inconsistent results after treatment with convalescent plasma (CP) on critically ill patients with COVID‐19, which was produced with a neutralizing antibody titer and tested in a P3 or P4 laboratory. However, due to the limitation of the conditions on mass production of plasma, most producers hardly had the capability to isolate the neutralizing antibody. Here, we report the clinical courses of three critically ill patients with COVID‐19 receiving CP treatments by total immunoglobulin G (IgG) titer collection.
CAD-based calibration for on-machine measurement using vision

On-machine inspection is often performed using a vision based-system. Vision-based systems are used for the verification of machine set-ups [6], the survey of tool trajectories, part inspection of socket production, and so on [3]. These systems present various advantages: low cost, rapidity, flexibility and simplicity of implementation in the context of production. A minor drawback is the system calibration. Calibration is necessary to transform a 2D point (or a point belonging to the picture) into a 3D point expressed in the reference frame. Within the context of on-machine inspection, the positioning of the camera frame relatively to the reference frame must be performed for each measurement operation. More generally, the reference frame of calibration can be anything. To enhance the interoperability between machining and inspection, it could be interesting that the reference frame or CAM frame, associated to machining operations, should coincide with the reference frame used for calibration. This removes an additional step of frame registration which is penalizing in terms of computational time and quality. This paper deals with a CAD-based calibration method for on-machine inspection. Its originality is that the CAM frame is not only used to define the machining operations, but it is also the calibration reference frame and thus the measurement frame. For this purpose, the reference frame must be built from features of the machine tool scene. In the approach developed in this paper, features represented in the CAD frame are used to map the vision calibration frame to the machining frame in which both measurements and machining operations will be performed.
Do They Still Matter? – Impact of Fossil Fuels on Electricity Prices in the Light of Increased Renewable Generation

Abstract During the last years, the German energy sector and especially its electricity market was affected by a major energy transition, the so called „Energiewende“. This transition led to an increase of electricity production from renewable sources and thereby affected the whole electricity market. Therefore, it provides lessons for countries, which are only beginning a similar transition away from fossil fuels to renewable energy sources. The aim of this analysis is to assess if there still exists a relationship between fossil fuel and electricity prices. Due to possible structural breaks in the time series a minimum Lagrange Multiplier (LM) stationarity test is applied, which endogenously determines possible structural breaks. Subsequently a bootstrap approach is used to estimate confidence intervals (C.I.s) for the test statistic and the possible break dates. Furthermore, the stability of the cointegration vector is assessed with the test by Hansen and Johansen (1999. “Some Tests for Parameter Constancy in Cointegrated VAR-Models.” The Econometrics Journal 2 (2):306–333. ). The results indicate that the cointegration relationship is not stable over time. To incorporate these findings, the cointegration analysis is based on Johansen Mosconi, and Nielsen (2000. “Cointegration Analysis in the Presence of Structural Breaks in the Deterministic Trend.” Econometrics Journal 3 (2):216–249), which allows structural breaks in the deterministic part of the cointegration relation. These results support the assumption that the energy transition affected the relationship between fossil fuels and electricity prices, although there still exists a relatively strong cointegration relation between fossil fuel and electricity prices in the long run.
A FUZZY MODEL FOR THE PITCH PERCEPTION O F COMPLEX TONES

In this work, we consider the problem of pitch perception and we propose a fuzzy model that can account, in a qualitative way, for all the possible cases of complex tones. The model includes two distinct stages. The first stage is a frequency analyzer that determines the frequencies of some of the individual sinusoidal components of the complex tone. This information proceeds to the second stage of the model, which is a fuzzy processor. The processor receives the frequencies of the components and performs all the necessary computations in order to derive the pitch. The use of a fuzzy processor that represents and manipulates information, which is not precise, makes the model capable to predict the ambiguities of pitch that have been observed.
X-rays from colliding stellar winds: the case of close Wolf–Rayet+O binary systems

We have analysed the X-ray emission from a sample of close Wolf–Rayet+O (WR+O) binaries using data from the public Chandra and XMM–Newton archives. Global spectral fits show that two-temperature plasma is needed to match the X-ray emission from these objects, because the hot component (kT > 2 keV) is an important ingredient of the spectral models. In close WR+O binaries, X-rays likely originate in colliding stellar wind (CSW) shocks, driven by the massive winds of the binary components. The CSW shocks in these objects are expected to be radiative because of the high density of the plasma in the interaction region. In contrast, our analysis shows that, in our sample of close WR+O binaries, the CSW shocks are adiabatic. This is possible only if the mass-loss rates of the stellar components in the binary are at least one order of magnitude smaller than the values currently accepted. The most likely explanation for the X-ray properties of close WR+O binaries is that their winds are two-component flows. The more massive component (dense clumps) has a role in the optical/ultraviolet emission from these objects, while the smooth rarefied component is a key factor in the X-ray emission from these objects.
Meta-analysis in hypertension: simple mathematics are always welcome.

Center for Cardiovascular Prevention, Charles University in Prague, Department of Medicine II, Charles University in Prague, First Faculty of Medicine, Medical Statistics Unit, Institute for Experimental and Clinical Medicine, Prague, Department of Medicine II, Faculty of Medicine, Charles University, Pilsen and Department of Medicine III, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic
On certain double $A$- summability methods

The goal of this paper is to continue our investigations in line of our recent paper, Savas \cite{sa} and \cite{Sav}. We introduce the notion of $A^{I}$- double statistical convergence which includes the new summability methods studied in \cite{sa} and \cite{sav} as special cases and make certain observations on this new and more general summability method.
Initial Patterns of Prescription Opioid Supply and Risk of Mortality Among Insured Adults in the United States.

OBJECTIVE To examine the association between initial patterns of prescription opioid supply (POS) and risk of all-cause mortality among an insured opioid-naïve patient population in the United States (US). METHODS This retrospective observational cohort study used de-identified, administrative health care claims data from a large national insurer (Optum Clinformatics Data Mart) from 2010 to 2015. Participants included insured, cancer-free adults prescribed opioid analgesics. Prescription opioids received during the first 6 months of therapy were used to categorize initial patterns of POS as daily or nondaily. Cox regression was used to estimate the association of initial patterns of POS with all-cause mortality within one year of follow-up, adjusting for baseline covariates to control for confounding. RESULTS A total of 4,054,417 patients were included, of which 2.75% had incident daily POS; 54.8% were female; median age was 50 years; mean Charlson comorbidity index (CCI) was 0.21 (standard deviation = 0.77); and mean daily morphine milligram equivalent was 34.61 (95% confidence intervals: 34.59, 34.63). There were 2068 more deaths per 100,000 person-years among patients who were prescribed opioids daily than nondaily. After adjusting for baseline covariates, the hazard of all-cause mortality among patients with incident daily POS was nearly twice that among those prescribed nondaily (hazard ratio [HR] = 1.94; 95% confidence intervals: 1.84, 2.04). CONCLUSIONS Among insured adult patients with noncancer pain, incident chronic POS was associated with a significantly increased risk of all-cause mortality over at most 1 year of follow-up. Because these results may be susceptible to bias, more research is needed to establish causality.
Burnout in emergency medicine physicians

Abstract Background: Physician burnout has been a global problem that affects severely the mental status among doctors, especially in emergency medicine (EM). However, few studies have focused on emergency medicine physicians, and the published data are inconsistent. Thus, this meta-analysis is performed to systematically evaluate the prevalence of burnout among emergency medicine physicians. Methods: We systematically searched databases including PubMed, Embase, PsychINFO and the Cochrane Library from inception to September, 2019 for English-language articles. We selected all the original articles those used Maslach Burnout Inventory to assess the prevalence of burnout and its 3 dimensions emotional exhaustion (EE), depersonalization, and personal accomplishment (PA) in emergency medicine physicians. After literature screening, quality evaluation was performed for eligible studies by using the Joanna Briggs Institute (JBI) critical appraisal checklist for studies reporting prevalence data; then, Begg test and Egger test was used to assess publication bias. Pooled prevalence rates were assessed by conducting a meta-analysis using random effects models. Then sensitivity analysis followed to test the stability of the result and detected the source of heterogeneity. Results: A total of 1943 EM physicians provided burnout data. The pooled prevalence rates of high levels of emotional exhaustion, high levels of depersonalization and low levels of PA were 40% (95% CI: 26%–55%; I2 = 97.4%), 41% (95% CI: 30%–52%; I2 = 94.5%) and 35% (95% CI: 19%–52%; I2 = 99.0%), respectively. The mean burnout scores were 23.95 (SD = 11.88) for emotional exhaustion, 11.63 (SD = 6.85) for depersonalization, and 34.69 (SD = 7.71) for PA. Conclusions: This meta-analysis demonstrate a high level of burnout prevalent in EM physicians that approximately 40% experience high levels of EE and depersonalization. Our findings also suggest that EM physicians are more susceptible to burnout compared with physicians in other departments and other medical staffs in EM. More attention should be payed to mental status of EM physicians and further investigation concerning how to reduce burnout would be beneficial for EM physicians. Registration: INPLASY202060060 in inplasy.com (doi.org/10.37766/inplasy2020.6.0060)
Survey Paper on Cloud Computing

Cloud computing has recently emerged as a new paradigm for hosting and delivering services over the Inter- net. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. However, despite the fact that cloud computing offers huge opportunities to the IT industry, the development of cloud computing technology is currently at its infancy, with many issues still to be addressed. In this paper, we present a survey of cloud computing, highlighting its key concepts, architectural principles, and state of the art implementation as well as research challenges. The aim of this paper is to provide a better understanding of the design challenges of cloud computing and identify important research directions in this increasingly important area. Keyword-
Chinese herbal medicine si-miao-san decoction for acute gouty arthritis

Abstract Background: The prevalence of gout is increasing worldwide, and the symptoms of acute arthritis appearing in gout patients seriously affect the quality of life. The pain and functional limitation caused by acute gouty arthritis (AGA) bring great pain to patients. At present, mainstream drugs have problems such as poor efficacy and side effects. Traditional Chinese medicine has extensive clinical experience in the prevention and treatment of gout, and it also shows clear advantages in the treatment of AGA. Clinical studies have confirmed that si-miao-san decoction (SMSD), a traditional Chinese medicine decoction, can improve the clinical symptoms and signs of AGA patients. Therefore, we will conduct a systematic review to clarify the effectiveness and safety of SMSD for AGA. Methods: We will search different database from the built-in to October 2020. The electronic database includes PubMed, Embase, Cochrane Library, Web of Science, CNKI, WanFang, VIP, and CBM. At the same time, we will also search for clinical registration tests and gray literatures. This study only screened clinical randomized controlled trials (RCT) for SMSD for AGA. The 2 researchers independently conducted literature selection, data extraction, and quality assessment. Dichotomous data are represented by relative risk (RR), continuous data are represented by mean difference (MD) or standard mean deviation (SMD), and the final data are fixed effect model (FEM) or random effect model (REM), depending on whether it exists heterogeneity. The main outcomes are clinical efficacy, including pain score, joint function, and degree of swelling. The secondary outcomes include: blood uric acid (BUA), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR). Finally, a meta-analysis was conducted through Review Manager software version 5.3. Results: This study will conduct a comprehensive analysis based on the currently released Si-Miao-San data for the treatment of AGA and provide high-quality evidence of clinical efficacy and safety. Conclusion: This systematic review aims to provide new options for SMSD treatment of AGA in terms of its efficacy and safety. Ethics and dissemination: The review is based solely on a secondary study of published literatures and does not require ethics committee approval. Its conclusion will be disseminated in conference papers, magazines, or peer-reviewed journals. INPLASY registration number: INPLASY202040163.
Interhemispheric Callosal Projections Sharpen Frequency Tuning and Enforce Response Fidelity in Primary Auditory Cortex

Abstract Sensory cortical areas receive glutamatergic callosal projections that link information processing between brain hemispheres. In primary auditory cortex (A1), ipsilateral principal cells from a particular tonotopic region project to neurons in matching frequency space of the contralateral cortex. However, the role of interhemispheric projections in shaping cortical responses to sound and frequency tuning in awake animals is unclear. Here, we use translaminar single-unit recordings and optogenetic approaches to probe how callosal inputs modulate spontaneous and tone-evoked activity in A1 of awake mice. Brief activation of callosal inputs drove either short-latency increases or decreases in firing of individual neurons. Across all cortical layers, the majority of responsive regular spiking (RS) cells received short-latency inhibition, whereas fast spiking (FS) cells were almost exclusively excited. Consistent with the callosal-evoked increases in FS cell activity in vivo, brain slice recordings confirmed that parvalbumin (PV)-expressing cells received stronger callosal input than pyramidal cells or other interneuron subtypes. Acute in vivo silencing of the contralateral cortex generally increased spontaneous firing across cortical layers and linearly transformed responses to pure tones via both divisive and additive operations. The net effect was a decrease in signal-to-noise ratio for evoked responses and a broadening of frequency tuning curves. Together, these results suggest that callosal input regulates both the salience and tuning sharpness of tone responses in A1 via PV cell-mediated feedforward inhibition.
Second Ventilatory Threshold Assessed by Heart Rate Variability in a Multiple Shuttle Run Test

Abstract Many studies have focused on heart rate variability in association with ventilatory thresholds. The purpose of the current study was to consider the ECG-derived respiration and the high frequency product of heart rate variability as applicable methods to assess the second ventilatory threshold (VT2). Fifteen healthy young soccer players participated in the study. Respiratory gases and ECGs were collected during an incremental laboratory test and in a multistage shuttle run test until exhaustion. VΤ2 was individually calculated using the deflection point of ventilatory equivalents. In addition, VT2 was assessed both by the deflection point of ECG-derived respiration and high frequency product. Results showed no statistically significant differences between VT2, and the threshold as determined with high frequency product and ECG-derived respiration (F(2,28)=0.83, p=0.45, η2=0.05). A significant intraclass correlation was observed for ECG-derived respiration (r=0.94) and high frequency product (r=0.95) with VT2. Similarly, Bland Altman analysis showed a considerable agreement between VT2 vs. ECG-derived respiration (mean difference of −0.06 km·h−1, 95% CL: ±0.40) and VT2 vs. high frequency product (mean difference of 0.02 km·h−1, 95% CL: ±0.38). This study suggests that, high frequency product and ECG-derived respiration are indeed reliable heart rate variability indices determining VT2 in a field shuttle run test
Wan2vec: Embeddings learned on word association norms

Word embeddings are powerful for many tasks in natural language processing. In this work, we learn word embeddings using weighted graphs from Word Association Norms with the node2vec algorithm. The computational resources used by this technique are reasonable and affordable, which allows us to obtain good quality word embeddings even from small corpus. We evaluate our word vectors in two word similarity benchmarks, the WordSim-353, MC30, MTurk-287, MEN-TR-3k, SimLex-999, MTurk-771 and RG-65, achieving better results than those obtained with word2vec, GloVe, and FastText, trained on huge corpus.
BUSINESS PROCESSES AS BUSINESS SYSTEMS

Business process is the foundation of the work organization of every business. It is a set of different activities or tasks that are carried out in a certain order and use certain resources of an organization with the aim of fulfilling the mission or the purpose of its existence. As each business process is defined by parameters such as output quality, speed, cost, added value and the like, it is logical that they are the cornerstone of achieving competitive advantage. It is therefore important to monitor and analyze them in order to remove any drawbacks in their performance before endangering the survival of a company. Business process is a structured, analytical, inter-functional set of activities that require continuous improvement. It represents a repetitive flow of activities with a clearly defined beginning and end, and in more or less constant intervals, creates value for the buyers.
Olfactory predator recognition in the brown mouse lemur (Microcebus rufus) in Ranomafana National Park, Madagascar

Predator odors such as urine and feces are known to elicit antipredator behaviors in prey including avoidance, fear, and curiosity. We measured how wild brown mouse lemurs (Microcebus rufus) responded to odors of mammalian, avian, and snake predators as well as nonpredator controls. The first experiment took place under controlled conditions in a laboratory where we recorded the occurrence of four behavioral categories (ignore, curiosity, alert, and fear) in response to a single odor. Subjects exhibited behavioral change significantly more often in response to the predator than to control stimuli, but did not distinguish between familiar and unfamiliar predators. Mammalian predator urine and feces were most likely to elicit behavioral change. The owl was the only predator to never elicit behavioral change, possibly because owls do not provide relevant odor cues. A second experiment employing live traps in the forest found that neither predator nor control odors affected the likelihood of capture. Due to their longevity, odors do not provide accurate information of spatial and temporal risk, and while mouse lemurs may have initially hesitated to enter a trap, in the absence of additional information about risk, they may have eventually ignored the stimuli. This study found that brown mouse lemurs are able to distinguish between predator and nonpredator odors, and that risk assessment may be affected by the experience, as well as predator and sensory stimulus quality.
The Spectrum of MR Imaging Patterns Suggestive of Pediatric Posterior Reversible Encephalopathy Syndrome in Children With Cerebral X‐Linked Adrenoleukodystrophy

Children receiving chemotherapy, or immunosuppression have an increased risk for pediatric posterior reversible encephalopathy syndrome (pPRES); pPRES is scantly described in cerebral X‐linked adrenoleukodystrophy (cALD) patients, for which hematopoietic stem cell transplantation improves outcomes. This study aimed to describe distinctive lesion patterns, distribution, and evolution of neuroimaging findings in PRES in a single‐center pediatric cohort of cALD.