Miracle-dz/UniFAR-FTUs huggingface dataset:
Finite element analysis of surface elastic waveguide based on pyramidal phononic crystal

In these recent years, the phononic crystals (PnC) and the phononic waveguides (PnW) fascinate researchers and scientists. These structures are recently used for microeletromechanical systems (MEMS) and nanoelectromechanical systems (NEMS). The principal role of the PnC is the control of the elastic waves propagation [1–4]. A phononic crystal is a periodic structure made of two or more mixed materials, whose mass densities and elastic coefficients are periodically changed in space. According to this periodicity, three types of PnC can be structured. The first one is the one dimensional PnC [5], the second one is two dimensional PnC [2, 6, 7] and the third one is three dimensional PnC [8]. It can be a solid-solid, solid-fluid or fluid-fluid, phononic crystals. One of the principal properties of these periodic structures is the phononic band gaps, in which we can use the PnC for several fields of applications such as waveguide [9–11], frequency filter [11], and fluid sensors [12]. Recently, many articles are published to exhibit the dispersion proprieties of PnCs. A thin plate based on a periodic inclusions [13] or periodic deposition of holes [14] or periodic deposition of pillars [15, 16] are theoretically studied [15, 16], and experimentally investigated [17] to analyse the propagation of Lamb waves [18]. Furthermore, a thick slab with periodic inclusions, in particulars holes [19], and periodic pillars [20–22], are theoretically studied [21], and experimentally demonstrated [17, 23], to command the surface acoustic wave (SAW) propagation. For the pillars PnC waveguide, two types of band gaps exist. The first one is due to the Bragg scattering [23, 24], which the wavelength is of the order of the lattice parameter, while the second one is due to the local resonance of the pillars at a large wavelength [15, 16, 20]. The elastic energy in the pillars PnC waveguide is restricted within the pillars and the vicinity area [9, 25, 26], that present serious challenge worth to find good structures, in which the energy is well focused in the pillars A PnC with cylindrical pillars [21] and a PnC with inverted conical pillars [25] are studied. Many theoretical methods have been developed to study periodic structures and PnC waveguides. A PnC waveguide with periodic holes is analysed and the transmission spectra are calculated by a finite difference time domain (FDTD) method [19],
Venous thromboembolism in the menopausal period

Powstanie zakrzepu w świetle naczynia zylnego ukladu zyl glebokich, znane jako zakrzepica zyl glebokich (deep vein thrombosis – DVT), wystepująca najcześciej w obrebie konczyn dolnych, z nastepczą jego relokacją do prawego przedsionka, prawej komory serca i rozgalezien tetnicy plucnej (krązenie plucne) stanowi naturalny, niezwykle groźny dla zycia kobiet, przebieg zylnej choroby zakrzepowo-zatorowej (venous thromboembolism – VTE). Jeśli oderwana od ściany zylnej skrzeplina (lub jej fragment) jest wystarczająco duza, moze ulec zaklinowaniu w prawym przedsionku, komorze lub rozgalezieniu tetnicy plucnej, co prowadzi do naglego zgonu. Mniejsze fragmenty, dostając sie do naczyn krązenia plucnego, wywolują objawy zatorowości plucnej (pulmonary embolism – PE). Co roku w Polsce stwierdza sie 50–80 tys. przypadkow VTE i ponad 35 tys. przypadkow PE [1]. Zapadalnośc na te chorobe wzrasta wraz z wiekiem: od 0,25/1000 osob/rok < 40. roku zycia do 3/1000 osob/rok w wieku 85–89 lat (wzrost 12-krotny) [2]. Klasycznie przyjmuje sie, ze do powstania VTE konieczne jest wystepowanie u danej kobiety co najmniej 2 z 3 skladowych tzw. triady Virchowa. Nalezą do nich: • zaburzenia w zylnym przeplywie krwi (np. zwolnienie przeplywu krwi związane z przewleklym unieruchomieniem, ucisk naczyn zylnych miednicy mniejszej przez guz przydatkow lub ciezarną macice, zaburzenia przeplywu z lokalnym zastojem w przypadku rozleglych zylakow konczyn dolnych) [3], • prozakrzepowe zmiany w ukladach krzepniecia i fibrynolizy [m.in. opornośc na aktywowane bialko C (activated protein C resistance – APCR), nabyte i wrodzone niedobory endogennych inhibitorow krzepniecia, nadplytkowośc] [4], • patologie ściany naczynia zylnego – przede wszystkim uszkodzenie środblonka naczyniowego w stanach zapalnych, zastoju zylnym, niedotlenieniu, urazach, nowotworach, phlebosclerosis [w stanach patologicznych dochodzi w środblonku m.in. do syntezy i ekspresji TF (transcription factors), uwalniania PAF (platelet-activating factor), tlumienia ekspresji trombomoduliny, zahamowania produkcji t-PA (tissue plasminogen activator), uwalniania PAI-1 (plasminogen activator inhibitor 1) oraz ekspozycji integryn i selektyn na powierzchni komorek zwroconych do światla naczynia] [5, 6].
Influence of pressure, temperature and composition on magnetic recording in meteorites

Meteorites potentially record the magnetic fields present during the nascent formation of the early solar system. However, the interpretation of the magnetic records contained within them is complicated by a myriad of variables including poorly understood magnetic minerals and events occurring after the lock-in of the original magnetization such as shock, decompression and low-temperature cycling from space to the Earth's surface. This dissertation attempts to place constraints on how some of these factors influence paleomagnetic recording in meteorites. Through the development of a pressure cell, we show that even low pressures (< 2 GPa) will lower the remanent magnetization intensity in rocks. The magnetic field strength determined from shocked or decompressed material can be appreciably underestimated and should only be taken as a lower limit. Monoclinic pyrrhotite is is commonly found in certain achondritic meteorites, especially those from Mars. Monoclinic pyrrhotite undergoes a magnetic phase transition at ca. 30 K, called the Besnus transition, whose mechanism is poorly understood and highly debated. We provide evidence that this magnetic phase transition is due to a crystallographic reorientation in symmetry. Furthermore, our experiments show that low temperature cycling from their thermal equilibrium temperature in space to ambient surface temperatures on Earth will not significantly alter the paleointensity value recorded in pyrrhotite-bearing meteorites. The most common magnetic mineral in meteorites are body centered cubic iron-nickel alloys; however, the magnetic properties of these alloys as a function of grain size is virtually unknown. As grain size bears drastically on the ability to carry and retain magnetic remanence, filling this gap in our knowledge is crucial to properly interpret the paleomagnetic recording of FeNi alloys that are so ubiquitous in nature. For this reason, we initiated a research program to synthesize FeNi alloys with well constrained compositions and grain size distributions through mechanical alloying. Mechanically alloyed powders show similar magnetic properties to published results on metal bearing meteorites, but the size threshold for stable single domain particles-- the domain state essential for paleomagnetism-- was never identified. Finally, the design, building and implementation of a unique paleomagnetic thermal demagnetizing oven is presented.
Diffusion-weighted imaging in the evaluation of transplanted kidneys: correlation between renal creatinine clearance and apparent diffusion coefficient value

Poster: "ECR 2012 / C-2247 / Diffusion-weighted imaging in the evaluation of transplanted kidneys: correlation between renal creatinine clearance and apparent diffusion coefficient value" by: "S. Palmucci, L. A. Mauro, G. Failla, G. Attina, N. Libertini, C. Tilocca, P. Milone, M. Veroux, G. C. Ettorre; Catania/IT"
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning

Functional MRI (fMRI) is commonly used for interpreting neural activities across the brain. Numerous accelerated fMRI techniques aim to provide improved spatiotemporal resolutions. Among these, simultaneous multi-slice (SMS) imaging has emerged as a powerful strategy, becoming a part of large-scale studies, such as the Human Connectome Project. However, when SMS imaging is combined with in-plane acceleration for higher acceleration rates, conventional SMS reconstruction methods may suffer from noise amplification and other artifacts. Recently, deep learning (DL) techniques have gained interest for improving MRI reconstruction. However, these methods are typically trained in a supervised manner that necessitates fully-sampled reference data, which is not feasible in highly-accelerated fMRI acquisitions. Self-supervised learning that does not require fully-sampled data has recently been proposed and has shown similar performance to supervised learning. However, it has only been applied for in-plane acceleration. Furthermore the effect of DL reconstruction on subsequent fMRI analysis remains unclear. In this work, we extend self-supervised DL reconstruction to SMS imaging. Our results on prospectively 10-fold accelerated 7T fMRI data show that self-supervised DL reduces reconstruction noise and suppresses residual artifacts. Subsequent fMRI analysis remains unaltered by DL processing, while the improved temporal signal-to-noise ratio produces higher coherence estimates between task runs.
Exploring docking methods for virtual screening: application to the identification of neuraminidase and Ftsz potential inhibitors

Abstract Virtual screenings based on molecular docking play a major role in medicinal chemistry for the identification of new bioactive molecules. For this purpose, several docking methods can be used. Here, using Arguslab as software and a Gold Platinum subset library of commercially available compounds from Asinex, two docking methods associated to the scoring function Ascore were employed to investigate virtual screenings. One method is based on a genetic algorithm and the other based on a shape-based method. As case studies, both docking techniques were explored by targeting the PC190723 binding site of FtsZ protein from Staphylococcus aureus and the active site of N8 neuraminidase from Influenza virus. Following four docking sequences for each docking engine, the genetic algorithm led to multiple docking results, whereas the shape-based method gave reproducible results. The present study shows that the stochastic nature of the genetic algorithm will require the biological evaluation of more compounds than the shape-based method. This study showed that both methods are complementary and also led to the identification of neuraminidase and FtsZ potential inhibitors.
Environment Dynamism and Strategic Technology Resource Protection: Claims of Priority of Korean High-tech Electronics Firms

본 연구는 21세기형 초경쟁 환경에서 지속가능한 경쟁우위를 위해 전략적 자원인 기술자원을 보호하기 위한 기업의 시도에 영향을 미치는 요인들을 실증 연구한다. 이를 위해 본 연구는 전략경영의 자원기반관점과 거시 조직이론의 관점 에서 기업들이 불확실하고 급변하는 환경에 대응하여 신속하고 강력하게 자신의 혁신적 기술을 보호하는 동시에 경쟁자 들의 기술탐색을 제한할 수 있는 제도인 ‘우선권주장출원’이라는 기술보호전략의 실행에 영향을 미치는 시장 환경요인들 을 분석한다. 본 연구에서는 기업들이 특허출원이라는 기술혁신 성과를 보호하기 위한 일반적 전략을 넘어서서, 더 강력 한 경쟁전략인 우선권주장출원을 왜 선택하는지, 그리고 이 강화된 기술자원 보호전략이 어떻게 경쟁자들을 견제할 수 있는지에 대해, 대표적인 초경쟁 산업인 대한민국 하이테크 전자기업들 특허데이터와 재무데이터를 이용하여 실증 연구 한다. 1994년부터 2008년까지 우리나라 하이테크 전자기업들이 출원한 특허출원 데이터와 재무데이터를 기반으로 한 실 증분석의 결과, 기업들의 우선권주장출원전략을 실행하는 것은 외생적 충격과 환경불확실성에 의해 부정적인 영향을 받 는 반면, 시장변동성에 의해 긍정적인 영향을 받는 것으로 나타났다. 또한 각 기업의 지위는 위 세 가지 요인들의 영향을 약화시키는 방향으로 조절효과를 가지는 것으로 나타났다.
Quality Improvement of the DNA extracted by boiling method in Gram negative bacteria

Several methods of Deoxyribonucleic acid (DNA) extraction have been applied to extract bacterial DNA. The amount and the quality of the DNA obtained for each one of those methods are variable. The study aimed to evaluate bacterial DNA extraction using conventional boiling method followed by alcohol precipitation . DNA extraction from Gram negative bacilli was extracted and precipitated using boiling method with further precipitation by ethanol. The extraction procedure performed using the boiling method resulted in high DNA yields for both E. coli and K. pneumoniae bacteria in (199.7 and 285.7μg/ml, respectively) which was close to control method (229.3 and 440.3μg/ml). It was concluded that after alcohol precipitation boiling procedure was easy, cost-effective, and applicable for high-yield quality of DNA in Gram-negative bacteria.
Singular double-phase systems with variable growth for the Baouendi-Grushin operator

In this paper we study a class of singular systems with double-phase energy. The main feature is that the associated Euler equation is driven by the Baouendi-Grushin operator with variable coefficient. In such a way, we continue the analysis introduced in [ 6 ] to the case of lack of compactness corresponding to the whole Euclidean space. After establishing a related compactness property, we establish the existence of solutions for the Baouendi-Grushin singular system.
The effect of pricing bundling capability on marketing performance: The mediating role of price value offerings

Article history: Received: January 15, 2021 Received in revised format: January 28 2021 Accepted: February 24, 2021 Available online: February 24, 2021 This research intends to examine the effect of pricing bundling capability on price value offerings and marketing performance. It also tests the role of price value offerings as a mediating variable. Price building capacity develops from pricing capability to fill the research gap of its effect on marketing performance. Some studies prove that pricing capability affects performance. On the other hand, some found that it does not and recommend further research to improve this capability in line with the price strategy implemented by the company. Previous research on price strategy focuses on the consumers’ perspective. This study concentrates on the producers’ viewpoint. We collected data from 183 SME’s restaurants’ managers in Purwokerto using structured questionnaires. Structural Equation Model is used to obtain the aim of the research and analyze the measurement and structural model. The result suggests that pricing bundling capability positively affects pricing capacity on marketing performance and price value offerings. It also shows that price value offerings positively affect the marketing performance and that price value offerings mediate the effect of pricing capability on marketing performance. We suggest the SME’s restaurants’ managers pay attention to their pricing bundling capability to increase the price value offerings and marketing performance. © 2021 by the authors; licensee Growing Science, Canada
An energy efficient hybrid MAC protocol for smart home networks

In this paper cluster-based hybrid MAC (CB-HMAC) protocol, based on IEEE 802.15. 4 MAC is proposed for smart home networks. The CB-HMAC is specially designed for short packet transmission in a dense home network environment. Simulation results show that the proposed CB-HMAC is more energy-efficient than other medium access control (MAC) protocols without sacrificing much delay and throughput.
Higgs cross-section and properties at ATLAS and CMS

Recent measurements of Higgs boson cross-section and properties are presented using up to 139 fb−1 of proton-proton collision data delivered by the Large Hadron Collider at √ s = 13 TeV and recorded by the ATLAS and CMS detectors. Three measurements are discussed. The first is the measurement of Higgs boson production with sizeable transverse momentum decaying to a bb̄ pair. The remaining two measurements exploit the H → WW ∗ decay channel in various production modes: gluon fusion, vector boson fusion, and production in association with a W or Z boson. The results presented are compatible with Standard Model predictions.
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress

As humans, we experience social stress in countless everyday-life situations. Giving a speech in front of an audience, passing a job interview, and similar experiences all lead us to go through stress states that impact both our psychological and physiological states. Therefore, studying the link between stress and physiological responses had become a critical societal issue, and recently, research in this field has grown in popularity. However, publicly available datasets have limitations. In this article, we propose a new dataset, UBFC-Phys, collected with and without contact from participants living social stress situations. A wristband was used to measure contact blood volume pulse (BVP) and electrodermal activity (EDA) signals. Video recordings allowed to compute remote pulse signals, using remote photoplethysmography (RPPG), and facial expression features. Pulse rate variability (PRV) was extracted from BVP and RPPG signals. Our dataset permits to evaluate the possibility of using video-based physiological measures compared to more conventional contact-based modalities. The goal of this article is to present both the dataset, which we make publicly available, and experimental results of contact and non-contact data comparison, as well as stress recognition. We obtained a stress state recognition accuracy of 85.48 percent, achieved by remote PRV features.
A Phytochemical Examination of Flavone from Citrus limettiodes Tanaka

A phytochemical study of the stems of Citrus Limettiodes Tanaka afforded a novel flavonoid, characterized as 5.4' -dihydroxy, 3' - (3"'-methyl but -2"' -eny1) 3, 5' 6- trimethoxy flavone 7-0 --D- glucopyranoside.
Inverter Nonlinearity Compensation Through Deadtime Effect Estimation

This article proposes a method to compensate for the nonlinearity of an inverter through the estimation of the deadtime effect. The deadtime effect varies with the manufacturing tolerance of the inverter circuit itself and operating conditions, such as conducting current, dc-link voltage, and temperature. For the accurate compensation of the nonlinearity, the effect of the deadtime should be estimated in realtime. That effect on the control of the inverter is significantly affected by the pulsewidth modulation (PWM) scheme because the deadtime occurs only at the switching instant of the inverter, and the PWM scheme solely decides the switching. The proposed method exploits the difference of voltage error from the deadtime effect according to different PWM schemes. By comparing the effects with two different PWM schemes, namely continuous PWM and discontinuous PWM, the voltage error to a specific inverter caused by the deadtime can be identified. Several experimental tests are carried out to verify the validity of the proposed method. The results reveal that the voltage error due to the deadtime can be identified in the range of 100 mV at 300-V dc link. It is equivalent to 30 ns resolution in deadtime.
Cigarette end detection based on EfficientDet

In the process of building a harmonious society in China, smoking in public places is difficult to curb. However, with the continuous development of computer vision, object detection algorithm plays a key role in the above video detection scene. However, if the detection process is not real-time, it can not be applied to smoking scenes in public places, giving people timely judgment. After analyzing a variety of target detection algorithms, this paper considers that EfficientDet can achieve high efficiency under a wide range of resource constraints, and can easily carry out multi-scale feature fusion, so that it has high speed and accuracy in the process of target detection. In this paper, Efficientnet is used as the backbone feature extraction network, and a set of fixed scaling coEfficients are used to scale the depth, width and resolution of the network for preliminary feature extraction, so as to obtain three effective feature layers. Then, in order to improve the prediction level and enhance the feature extraction, the three effective feature layers are transferred to bifpn with cross-scale connection optimization The prediction results can be used as the evaluation results of the model. The evaluation results show that EfficientDet has high mAP.
Feedback Maximum Principle for Ensemble Control of Local Continuity Equations: An Application to Supervised Machine Learning

We consider an optimal control problem for a system of local continuity equations on a space of probability measures. Such systems can be viewed as macroscopic models of ensembles of non-interacting particles or homotypic individuals, representing several different “populations”. For the stated problem, we propose a necessary conditions of optimality which involve feedback controls inherent to the extremal structure designed via the standard Pontryagin’s Maximum Principle. These optimality conditions admit a realization as an iterative algorithm for optimal control. As a motivating case, we discuss an application of the derived optimality condition, and the consequent numeric method to a problem of supervised machine learning via dynamic systems.
Low cost feed formulation for economical rearing of rural poultry

Population explosion worldwide has increased the demand for egg and meat over year. In India Availability of easy, economical poultry feed at reasonable cost is key for successful poultry business. Incorporation of conventional feed ingrediants in poultry feed has increased the cost of production tremendously. This lead to search for alternative unconventional locally available cheap feed sources for reducing the feed cost which in turn can reduce the total cost of production of meat and egg and making them easily available at cheaper cost in rural India. Low cost rearing of poultry bird will be a boon for marginal farmers and landless poor. Various easily available unconventional feed sources such as azolla, jujube, fruit, wheat bran, available in local or rural region could be a better alternative to conventional poultry feed. In present study non-conventional feed sources was tested using different concentration of azolla, jujube fruit powder, and soybean grain and wheat bran. It is found that the treatment with Azolla (46.66%) + Jujube fruit powder (13.33%) + Soybean grain (26.33%) + Wheat bran (13.33%) was the best combination feed for poultry compared with the rest of the treatment and control. The birds fed with this feed did not showed any mortality however 40% and 30% mortality were observed in birds supplemented with control and market feed respectively.
Is Sjogren's syndrome a confounding factor in COVID-19?

A literature search revealed few publications on the relationship of SjS and Covid-19 [2]. The gender bias in SjS exceeds 9 female: 1 male, whereas in Covid-19, with an equal infection rate, the morbidity and mortality is predominantly male. The following questions arise from such a relationship: – In SjS, epithelial aridity and mucin alteration create a deranged host microbiome. Could a pathologically viscid milieu create an unassailable barrier to SARS-CoV2? – In SjS, could viral transport be mitigated by reduction in nasolacrimal, oropharyngeal, and tracheal fluid flow towards the lungs with lowered viral carriage towards those susceptible cells with the threshold for viral binding to ACE 2 receptors not being reached? – With Covid-19 infections, morbidity and mortality arises in 20% of cases from: Multicellular Interferon Specific Hypoactivity (MISH) and: Macrophage Activated Systemic Haemophagocytosis (MASH). The cytokine storm kills noninfected bystander cells, but this is predominantly in men with underlying connective tissue diseases (rarely reported in SjS) [3]. As female immunity is moderated by oestrogen, could the gender bias of SjS confer an advantage?