Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of wireless power transfer technologies and intermittent energy harvesting for wireless sensors in rotating machines

Battery-powered wireless sensor networks have been extensively deployed in condition monitoring and structural health monitoring systems, but the performance of wireless sensors are limited by battery capacity and difficulty of application in rotating machines. In this paper, a variety of commercial wireless charging solutions and coil-shaft configurations for magnetic coupling are compared, having in mind of the application of continuously charging wireless sensors on rotating machines. For the co-axial configuration of the transmitter coil and the receiver coil, a Qi standard compliant wireless charging kit and a custom charging circuit are successfully applied to charge wireless sensors on small rotating test rigs. In order to harvest and store intermittent energy input from the wireless power source, a prototype receiver circuit using a supercapacitor and low-dropout regulator is designed and validated. Based on the prototype circuit, the radial configuration of single transmitter coil and multiple receiver coils is demonstrated for wireless power transfer to the sensor nodes on the drivetrain of a small wind turbine test rig.
Nonequilibrium quantum anharmonic oscillator and scalar field: high temperature approximations

We treat a relativistic quantum boson gas, described by a scalar quantum field, with quartic self‐interaction (ϕ4) in three spatial dimensions: we review the known equilibrium case and present new proposals off‐equilibrium. For high temperature and large spatial scales, the behaviour of the gas at equilibrium simplifies nonperturbatively (equilibrium dimensional reduction or EDR): its thermodynamics is described by classical statistical mechanics with some quantum field effects. By assumption, the initial state of the gas off‐equilibrium includes interactions and inhomogeneities and is not far from thermal equilibrium. We employ real‐time generating functionals and obtain the free nonequilibrium correlators at non‐zero temperature. The nonequilibrium quantum gas appears to simplify nonperturbatively in the regime of high temperature and large temporal and spatial scales (nonequilibrium dimensional reduction or NEDR), its dynamics being described by classical statistical mechanics with some quantum field effects. We outline the renormalization of the ϕ4 theory, the nonequilibrium statistical mechanics of a quantum anharmonic oscillator and the high temperature simplifications, all of which provide very useful hints for NEDR in the field case. Our main proposals are NEDR and the associated new (renormalized) real‐time nonequilibrium generating functionals for the ϕ4 theory.
Identification of rare cell populations in autofluorescence lifetime image data

Drug‐resistant cells and anti‐inflammatory immune cells within tumor masses contribute to tumor aggression, invasion, and worse patient outcomes. These cells can be a small proportion (<10%) of the total cell population of the tumor. Due to their small quantity, the identification of rare cells is challenging with traditional assays. Single cell analysis of autofluorescence images provides a live‐cell assay to quantify cellular heterogeneity. Fluorescence intensities and lifetimes of the metabolic coenzymes reduced nicotinamide adenine dinucleotide and oxidized flavin adenine dinucleotide allow quantification of cellular metabolism and provide features for classification of cells with different metabolic phenotypes. In this study, Gaussian distribution modeling and machine learning classification algorithms are used for the identification of rare cells within simulated autofluorescence lifetime image data of a large tumor comprised of tumor cells and T cells. A Random Forest machine learning algorithm achieved an overall accuracy of 95% for the identification of cell type from the simulated optical metabolic imaging data of a heterogeneous tumor of 20,000 cells consisting of 70% drug responsive breast cancer cells, 5% drug resistant breast cancer cells, 20% quiescent T cells and 5% activated T cells. High resolution imaging methods combined with single‐cell quantitative analyses allows identification and quantification of rare populations of cells within heterogeneous cultures
Recent developments in quantum key distribution: Theory and practice *

Quantum key distribution is among the foremost applications of quantum mechanics, both in terms of fundamental physics and as a technology on the brink of commercial deployment. Starting from principal schemes and initial proofs of unconditional security for perfect systems, much effort has gone into providing secure schemes which can cope with numerous experimental imperfections unavoidable in real world implementations. In this paper, we provide a comparison of various schemes and protocols. We analyse their efficiency and performance when implemented with imperfect physical components. We consider how experimental faults are accounted for using effective parameters. We compare various recent protocols and provide guidelines as to which components propose best advances when being improved.
IMPACT OF DIFFERENT NITROGEN LEVELS ON COTTON GROWTH, YIELD AND N-UPTAKE PLANTED IN LEGUME ROTATION

A series of experiments were conducted at Sindh Agriculture University, Tandojam. The experiment was laid out in Randomized Complete Block Design (RCBD) with factorial arrangement consisting four replications and repeated in the 2 nd year. The treatments consisted crop two sequences [(C1= Cotton (before legume) and C2= Cotton (after legume)] and varying fertility levels (F1=150-50, F2=100-50 and F3=150-50 NP Kg ha -1 ). The berseem was cultivated as leguminous crop in the sequence. The crop sequences revealed that the cotton crop sown after legume produced tall plants (99.41 cm), higher production of monopodia plant -1 (2.68), sympodia plant -1 (14.10), more bolls plant -1 (24.83), heavier seed index (6.83 g), maximum GOT (34.47%), better staple length (28.83mm), higher oil content (22.87%), superior seed cotton yield (2428 kg ha 1 ) and N-uptake increased upto 91.17 kg ha -1 . The incorporation of NP fertilizer significantly affected crop parameters. Among the tested fertilizers, 150-50 NP kg ha -1 recorded maximum plant height (102.63 cm), monopodia plant -1 (2.61), sympodia plant -1 (13.70), bolls plant -1 (26.40), seed index (6.83g), GOT (34.57%), staple length (28.65mm), oil content (23.10%), seed cotton yield (2538.25 kg ha -1 ) and N-uptake (113.43 kg ha -1 ). It is concluded that nitrogen and phosphorus fertilizers are essential nutrients, but for maintenance of soil fertility and enhancement of crop productivity the inclusion of leguminous crop at least once in a two year cropping sequence is necessary, because leguminous crops enrich soil fertility by fixing environmental nitrogen in their root nodules, which in turn supply residual food nutrients to the succeeding crop. Thus, (i) continuous cropping in the sequence of wheat-cotton be avoided, (ii) the higher yields of cotton and wheat could be achieved in the farming system which includes legumes in crop rotation, (iii) the application of 150-50 NP kg ha -1 is sufficient for satisfactory yield and qualitative characters of cotton and (iv) the use of in-organic nitrogenous fertilizers could be minimized by succession of legume crop in the crop sequence.
FACTORS ASSOCIATED WITH LEFT VENTRICULAR HYPERTROPHY IN ADULTS LIVING AT A HIGH ALTITUDE CITY IN PERU

Introducción: Left ventricular hypertrophy has been described in people who live at high altitudes. Objective: To determine the factors related to left ventricular hypertrophy (LVH) in adults. Methods: An observational, cross-sectional and analytical study was carried out in the Echocardiography Laboratory of the Daniel Alcides Carrión Regional Teaching Hospital (HRDCQ) in Huancayo, Peru; at 3 259 m.s.n.m. The sampling was simple random. The variables were left ventricular hypertrophy (dependent), left ventricular diastolic dysfunction, arterial hypertension, diabetes mellitus, body mass index, dyslipidemia, sedentary lifestyle. The data were collected in a file. For the statistical analysis, the X2 test, student's t test, binary and multivariate logistic regression were applied, the odds ratio and its 95% confidence interval were found. P <0.050 was considered significant. Results: 488 patients were included, the average age was 64 years (range: 18-98). In 58.9% (370) they were women. The factors related to LVH were arterial hypertension (OR = 5.31; 95% CI = 3.27 - 8.61), age older than 60 years (OR = 2.94; 95% CI = 1.93 - 4, 50), diabetes mellitus (OR = 3.33; 95% CI = 1.15 - 9.79), and obesity (OR = 2.21; 95% CI = 1.16 - 4.19) compared to patients without LVH. In patients with LVH, a higher left atrial volume index and left ventricular diastolic dysfunction were found. Conclusion: The factors related to LVH in adults were hypertension, advanced age, diabetes mellitus and obesity.
Surface forces measurements with high spatial and temporal resolution by means of liquid crystal foils, piezofoils and surface hot-film arrays

Steady and unsteady surface measurement techniques for subsonic and transonic flows are surveyed emphasizing the capabilities, restrictions and applications of these techniques in experimental aerodynamics. The present paper investigates comparatively the status and capabilities of a number of surface measurement techniques (Liquid Crystals, Hot-Film-Arrays, Piezofoil-Arrays,) which are necessary for the understanding of distributed flow phenomena. Based on exemplary results some of the main features of the measurement techniques are discussed. Emphasis is on recent improvements to obtain higher temporal and spatial resolution. This concerns e.g. the employment of pyroelectrical capabilities for higher signal-to-noise ratios in piezofoil array measurements, or the development of a standard calibration method for multisensor hot-film arrays with small streamwise sensor spacing
black[LSCDiscovery shared task] 
 UAlberta at LSCDiscovery: Lexical Semantic Change Detection via Word Sense Disambiguation

We describe our two systems for the shared task on Lexical Semantic Change Discovery in Spanish. For binary change detection, we frame the task as a word sense disambiguation (WSD) problem. We derive sense frequency distributions for target words in both old and modern corpora. We assume that the word semantics have changed if a sense is observed in only one of the two corpora, or the relative change for any sense exceeds a tuned threshold. For graded change discovery, we follow the design of CIRCE (Pömsl and Lyapin, 2020) by combining both static and contextual embeddings. For contextual embeddings, we use XLM-RoBERTa instead of BERT, and train the model to predict a masked token instead of the time period. Our language-independent methods achieve results that are close to the best-performing systems in the shared task.
Chapter 4 Impedance and Collective Effects

As the beam intensity increases, the beam can no longer be considered as a collection of non-interacting single particles: in addition to the “single-particle phenomena”, “collective effects” become significant. At low intensity a beam of charged particles moves around an accelerator under the Lorentz force produced by the “external” electromagnetic fields (from the guiding and focusing magnets, RF cavities, etc.). However, the charged particles also interact with themselves (leading to space charge effects) and with their environment, inducing charges and currents in the surrounding structures, which create electromagnetic fields called wake fields. In the ultra-relativistic limit, causality dictates that there can be no electromagnetic field in front of the beam, which explains the term “wake”. It is often useful to examine the frequency content of the wake field (a time domain quantity) by performing a Fourier transformation on it. This leads to the concept of impedance (a frequency domain quantity), which is a complex function of frequency. The charged particles can also interact with other charged particles present in the accelerator (leading to two-stream effects, and in particular to electron cloud effects in positron/hadron machines) and with the counter-rotating beam in a collider (leading to beam–beam effects). As the beam intensity increases, all these “perturbations” should be properly quantified and the motion of the charged particles will eventually still be governed by the Lorentz force but using the total electromagnetic fields, which are the sum of the external and perturbation fields. Note that in some cases a perturbative treatment is not sufficient and the problem has to be solved self consistently. These perturbations can lead to both incoherent (i.e. of
WaveScalar

Silicon technology continues to provide an exponential increase in the availability of raw transistors. Effectively translating this resource into application performance, however, is an open challenge. Ever increasing wire-delay relative to switching speed and the exponential cost of circuit complexity make simply scaling up existing processor designs futile. In this paper, we present an alternative to superscalar design, WaveScalar. WaveScalar is a dataflow instruction set architecture and execution model designed for scalable, low-complexity/high performance processors. WaveScalar is unique among dataflow architectures in efficiently providing traditional memory semantics. At last, a dataflow machine can run "real-world" programs, written in any language, without sacrificing parallelism. The WaveScalar ISA is designed to run on an intelligent memory system. Each instruction in a WaveScalar binary executes in place in the memory system and explicitly communicates with its dependents in dataflow fashion. WaveScalar architectures cache instructions and the values they operate on in a WaveCache, a simple grid of "alu-in-cache" nodes. By co-locating computation and data in physical space, the WaveCache minimizes long wire, high-latency communication. This paper introduces the WaveScalar instruction set and evaluates a simulated implementation based on current technology. Results for the SPEC and Mediabench applications demonstrate that the WaveCache out-performs an aggressively configured superscalar design by 2-7 times, with ample opportunities for future optimizations.
геотермическое поле; тепловой по ­ ток; альпийский орогенез; Большой Кавказ. GEOTHERMAL FIELD OF THE TRANSITION

a Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus Heat flow data from the E astern Mediterranean region indicates an extensive province of low heat flow, spreading over the whole basin of the Mediterranean to the east of Crete (Levantine Sea), Cyprus, and Northern Egypt. Surface geology of East Anatolia is complex because of recent active tectonic and volcanic activity. The region is composed of major tectonic units of Pontides, the Anatolid-Tauride Belt and Bitlis Suture Zone, North and East Anatolian faults. Ophiolitic and young volcanic rocks can be observed in many parts of Orogenic Belt of Crimea, Greater Caucasus, Pontides, Rhodope-Stranja Massif, Eastern Srednegorie, North Dobrogea and older tectonic units of different origins and ages such as the Precambrian East European Craton, Moesian Platform, Istanbul Zone and Adzhar-Trialet F olded System. Low heat flow density dominates in the Black Sea. The lowest (less • 30 mW/m 2 ) values have been recorded in central parts of the Western and Eastern Black Sea basins with maximal sedimentary thick ­ ness. Geothermal studies within the territories of Ukraine have been under way since sixties. Many important features of the thermal field remain unstudied. This applies in particular to the Ukrainian Shield and to the southern part of the Carpa-thian region. In general, the territory of Alpine folding within Turkey, Marmara and Aegean seas, Caucasus is characterized by high heat flow. The anomaly of its highest values (above 100 –150 mW/m 2 ) exists within western Turkey, where tectonic conditions of extension prevail and underground steam is used to produce electricity. Three heat flow density profiles crossing the studied region and heat flow map were
Whole-Genome Analysis Deciphers Population Structure and Genetic Introgression Among Bovine Species

It is known that throughout history and presently, taurine (Bos taurus) and indicine/zebu (Bos indicus) cattle were crossed with other bovine species (e.g., gayal, gaur, banteng, yak, wisent, and bison). Information on the role of interspecific hybridization to facilitate faster adaptation of the newly arrived domestic species to new environments is poorly known. Herein, we collected 266 samples of bovine species of the taurine, zebu, yak, and gaur from West Europe, Southwest China, Indian subcontinent, and Southeast Asia to conduct the principal component analysis (PCA), admixture, gene flow, and selection signature analyses by using SNPs distributed across the bovine autosomes. The results showed that the genetic relationships between the zebu, yak, and gaur mirrored their geographical origins. Three ancestral components of the European taurine, East Asian taurine, and Indian zebu were found in domestic cattle, and the bidirectional genetic introgression between the Diqing cattle and Zhongdian yak was also detected. Simultaneously, the introgressed genes from the Zhongdian yak to the Diqing cattle were mainly enriched with immune-related pathways, and the ENPEP, FLT1, and PIK3CA genes related to the adaptation of high-altitude hypoxia were detected. Additionally, we found the genetic components of the Zhongdian yak had introgressed into Tibetan cattle. The 30 selected genes were detected in Tibetan cattle, which were significantly enriched in the chemokine signaling pathway. Interestingly, some genes (CDC42, SLC39A2, and EPAS1) associated with hypoxia response were discovered, in which CDC42 and SLC39A2 played important roles in angiogenesis and erythropoiesis, and heart function, respectively. This result showed that genetic introgression was one of the important ways for the environmental adaptation of domestic cattle.
Preschoolers’ Sensitivity to Negative and Positive Emotional Facial Expressions: An ERP Study

The study examined processing differences for facial expressions (happy, angry, or neutral) and their repetition with early (P1, N170) and late (P3) event-related potentials (ERPs) in young children (N = 33). EEG was recorded while children observed sequentially presented pairs of facial expressions, which were either the same (repeated trials) or differed in their emotion (novel trials). We also correlated ERP amplitude differences with parental and child measures of socio-emotional competence (emotion recognition, empathy). P1 amplitudes were increased for angry and happy as compared to neutral expressions. We also detected larger P3 amplitudes for angry expressions as compared to happy or neutral expressions. Repetition effects were evident at early and late processing stages marked by reduced P1 amplitudes for repeated vs. novel happy expressions, but enhanced P3 amplitudes for repeated vs. novel facial expressions. N170 amplitudes were neither modulated by facial expressions nor their repetition. None of the repetition effects were associated with measures of socio-emotional competence. Taken together, negative facial expressions led to increased neural activations in early and later processing stages, indicative of enhanced saliency to potential threating stimuli in young children. Processing of repeated facial expression seem to be differential for early and late neural stages: Reduced activation was detected at early neural processing stages particularly for happy faces, indicative of effective processing for an emotion, which is most familiar within this age range. Contrary to our hypothesis, enhanced activity for repeated vs. novel expression independent of a particular emotion were detected at later processing stages, which may be linked to the creation of new memory traces. Early and late repetition effects are discussed in light of developmental and perceptual differences as well as task-specific load.
Three Mental Health Symptoms of Frontline Medical Staff Associated With Occupational Stressors During the COVID-19 Peak Outbreak in China: The Mediation of Perceived Stress and the Moderation of Social Support

The outbreak of COVID-19 epidemic has increased work demands for medical staff and has a certain impact on their mental health. The present study aimed to examine the role of perceived stress and social support in explaining the association between the occupational stressors and three mental health symptoms (i.e., anxiety, depression, and insomnia) of frontline medical staff. Five hundred twenty five frontline medical staff were investigated online after the outbreak of the COVID-19 (16 February, 2020–2 March, 2020) in China. The results found that the prevalence of anxiety, depression, and insomnia among frontline medical staff were 39.8, 29.9, and 37.9%, respectively. Occupational stressors were associated with anxiety, depression, and insomnia symptoms. Perceived stress significantly mediated this link. Social support moderated the second half of the indirect effect of occupational stressors on anxiety and depression symptoms. Under the epidemic situation of COVID-19, for frontline medical staff, high perceived stress and low social support may increase vulnerability for mental health symptoms triggered by occupational stressors. Thus, improving the social support and promoting the cognitive reappraisal of perceived stress may help to maintain mental health among medical staff.
Cocktail of Astragalus Membranaceus and Radix Trichosanthis Suppresses Melanoma Tumor Growth and Cell Migration Through Regulation of Akt-Related Signaling Pathway

Background: Malignant melanoma has high morbidity and mortality and limited treatment options. Traditional Chinese medicine has great potential in the clinical therapy of cancer, and the theory of compatibility is one core content of Chinese medical theory. Astragalus Membranaceus and Radix Trichosanthis are clinically effective for the treatment of various cancers. Methods: We verified the effects of AMD, RTD, and their “cocktail” on melanoma model in vitro and in vivo and the mechanism of its effect on the Akt-related signaling pathway by network pharmacology, MTT, flow cytometry, LDH, SOD, MDA assay, and Western blot. Results: The network pharmacology analysis indicated that the PI3K-Akt pathway plays a crucial role in the treatment of malignant melanoma with these two herbs. In addition, AMD, RTD, and their “cocktail” could inhibit the proliferation of A375 cells by reducing the survival rate in a concentration-dependent manner and by regulating the cell cycle, and the compatibility of two herbs also could inhibit melanoma growth. They could, respectively, induce apoptosis and inhibit migration by affecting the expression of Bcl-2, Bax, p53, snail, E-cadherin, and N-cadherin. Furthermore, LDH activity was decreased, while SOD increased and MDA reduced. The factors of the Akt-related signaling pathway, Akt and p-Akt, were decreased. Conclusion: This study showed that AMD, RTD, and their “cocktail” could regulate cell proliferation, apoptosis, and metastasis in A375 cells through the suppression of the Akt-related signaling pathway, and the “cocktail” groups had detoxification and additive effects. The best compatibility of the two herbs also can inhibit tumor growth and metastasis in vivo.