Miracle-dz/UniFAR-FTUs huggingface dataset:
READY: Reliability- and Deadline-Aware Power-Budgeting for Heterogeneous Multicore Systems

Tackling the dark silicon problem in a heterogeneous multicore system, the temperature constraints across the system should be addressed carefully by assigning a proper set of tasks to a pool of the heterogeneous cores during the run-time. When such a system is utilized in a reliable/real-time application, the reliability/timing constraints of the application should also be augmented to the temperature constraints and make the tasks mapping problem more and more complex. To solve the mapping problem in such a situation, we propose READY; an online reliability- and deadline-aware mapping and scheduling algorithm for heterogeneous multicore systems. READY utilizes an adaptive power constraint (as a metric for temperature measurement) that is updated according to the number and position of the active cores on the chip. READY, first, attempts to meet the reliability target of the system by improving the reliability of each task. Then, it performs the mapping and scheduling of the tasks on cores of different islands, so that the peak power and timing constraints are met. The simulation results illustrate that while READY guarantees the timing constraints and meets reliability targets, it improves the peak-power-aware system schedulability (chip performance) by 23.77% (up to 40.69%).
Bidirectional Role of Tumor Necrosis Factor-α in Coronary Microembolization

In patients with unstable angina, plaque rupture and coronary microembolization (ME) can precede complete coronary artery occlusion and impending infarction. ME-induced microinfarcts initiate an inflammatory reaction with increased tumor necrosis factor-α (TNF-α) expression, resulting in progressive contractile dysfunction. However, TNF-α is not only a negative inotrope but can also protect the myocardium against infarction. In anesthetized pigs, we studied whether ME protects against infarction when TNF-α expression is increased. ME (group1; n=7) was induced by intracoronary infusion of microspheres (42 μm; 3000 per mL/min inflow). Controls (group 2; n=8) received saline. Groups 3 and 4 (n=4 each) were pretreated with ovine TNF-α antibodies (25 mg/kg body weight) 30 minutes before ME or placebo, respectively. Ischemia (90 minutes) was induced 6 hours after ME when TNF-α was increased (66±21 pg/g wet weight; mean±SEM) or after placebo (TNF-α, 21±10 pg/g; P<0.05). Infarct size (percentage area at risk) was.
An 8-Bit 10-GS/s 16× Interpolation-Based Time-Domain ADC With <1.5-ps Uncalibrated Quantization Steps

This article presents an 8-bit time-domain analog-to-digital converter (ADC) that achieves 10 GS/s by aggregating only four time-interleaved channels. It also experiences less than 3.0-dB signal-to-noise and distortion ratio (SNDR) drop at an 18-GHz input frequency from a dc input due to its small input capacitance and inherent voltage-to-time converter (VTC)-based sub-channel buffer. A 16<inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> time-interpolation-based time-to-digital converter (TDC) resolves in two steps while allowing both the inter-stage gain and the quantization step to be free from calibration over process, supply voltage, and temperature (PVT) variations. Furthermore, through a timing-extended residue transfer scheme, the metastability error rate is suppressed to <10<inline-formula> <tex-math notation="LaTeX">$^{-8}$ </tex-math></inline-formula>. Fabricated in a 65-nm CMOS process, the prototype ADC achieves a 40.1-dB SNDR for a Nyquist input signal at 10 GS/s while consuming 50.8 mW from a 1.0-V power supply, yielding a Walden figure-of-merit of 61.5 fJ/conversion-step.
A Broadband, Wide-Angle Scanning, Linear-to-Circular Polarization Converter Based on Standard Jerusalem Cross Frequency Selective Surfaces

A broadband and wide-angle scanning linear polarization (LP)-to-circular polarization (CP) converter based on a dual-layer structure is presented. The elementary cell is composed of conventional Jerusalem crosses (JCs). The design procedure is based on transmission line circuit model and on full-wave simulations. The proposed equivalent circuit has been generalized to include the oblique incidence in the model. Simulated results demonstrate a 24% axial ratio bandwidth for an incidence angle <inline-formula> <tex-math notation="LaTeX">$\theta = \pm 50^{\circ }$ </tex-math></inline-formula> in both <italic>x</italic>z and <italic>y</italic>z planes. The proposed converter provides a unique combination of wide bandwidth, thin profile, and stable response with respect to the angle of incidence. It can be integrated into any LP antenna system to generate CP without significantly affecting the antenna performances.
Midwife and Nurse’s Role related to Primary and Secondary Prevention Measures in Breast Cancer

Breast cancer is the most common type of cancer and cause of death among women worldwide. Although definitive cause of breast cancer is not known, it is reported that genetic, environmental and hormonal factors play an important role. It is highly important to detect the breast cancer at an earlier stage for prevention, as there isn’t any definitive prevention method against cancer. Development of breast cancer is prevented via positive attitude and behaviours reducing risk and early diagnosis and effective treatment may increase quality of life and life span. Therefore , it is important to educate women about primary and secondary prevention methods. There are evidence based studies that show the influence of life style and environmental factors on the development of breast cancer such as high-fat diet, alcohol consumption, lack of physical exercise. The elimination of all these factors may contribute to decrease in morbidity and mortality (primary prevention). Secondary prevention, comprising diagnostic tests such as self-examination of breast, clinical breast examination, mammography aid in the early identification and treatment of premalignant or subclinical cancers. Also, behaviour modification, as well as greater awareness among women regarding breast cancer, may significantly contribute towards reducing the incidence of this cancer. In this regard, midwives and nurses can play a significant role in increasing awareness about breast cancer by providing training in lifestyle modifications and diagnostic methods of early stage breast cancer. The purpose of this review is to provide information on the role and responsibilities of midwives and nurses related to primary and secondary prevention measures of breast cancer.
One Destination Two Images: A Social Media Text Analytics Approach to Uncovering Tourist Perceptions of Beijing

With the development of digital technology, there has been an exponential growth of traveler generated content, which forms part of big data essential for the development of smart tourism destination. Yet there is limited research using the latest analytical tools to evaluate destination image from the freely available data in social media. This study aims to fill this gap by applying a machine learning based text analytical tool, CKIP (Chinese Knowledge and Information Processing) to uncover tourist perceptions of Beijing. Textual data extracted from major online travel blogs were examined to compare the similarities and differences of image as perceived between mainland Chinese and Taiwanese tourists. The results indicated that the two groups shared great interests in sightseeing and dining, yet surprisingly Taiwanese showed stronger positive affection towards Beijing. This study also demonstrates that CKIP can be an useful tool to support tourism researchers from western languages background when analyzing the Chinese textual data that are increasingly present in popular social media for interesting insights in destination management and marketing.
Gene action controlling stability and adaptability in maize

Limited knowledge about the genetic merit of maize landraces contributes to their little use in breeding, al- though some reports pointed them as a source of useful alleles. Repeated cultivation of landraces for many generations could make them a useful germplasm source to enhance yield stability. This study pretends to determine if such statement holds, and to analyze stability in terms of gene action involved. Twenty Argentine landraces were testcrossed to three US and two Argentine elite lines, and evaluated in 13 environments. Effects of general and specific combining ability for grain yield and ecovalence, as well as for regression coefficients of response to en- vironments were also predicted. Non-additivity resulted more important than additivity for controlling ecovalence, and frequently resulted detrimental to stability. Although landraces contributed to ecovalence, their importance was less than that of lines. Testcrosses´ adaptability to environments was variable depending on the line tester considered. Relative greater importance of lines´ general combining ability for ecovalence than landraces’ general combining ability could be attributed to a successful selection for stability during the development of inbred lines. Sixty percent of landraces appeared more adapted to unfavorable environment, which suggests their higher level of rusticity. Argentine lines provided greater stability to their testcrosses than US lines. Correlation between grain yield and stability was mainly dependent upon non additive effects. More productive testcrosses tend to have greater ecovalence (less stability) due to specific combining ability effects. Inbred lines selected for greater general combining ability effect tend to provide their testcrosses higher stability.
Towards Fast and Understandable Computations: Which “And”- and “Or”-Operations Can Be Represented by the Fastest (i.e., 1-Layer) Neural Networks? Which Activations Functions Allow Such Representations?

We want computations to be fast, and we want them to be understandable. As we show, the need for computations to be fast naturally leads to neural networks, with 1-layer networks being the fastest, and the need to be understandable naturally leads to fuzzy logic and to the corresponding “and”and “or”-operations. Since we want our computations to be both fast and understandable, a natural question is: which “and”and “or”-operations of fuzzy logic can be represented by the fastest (i.e., 1-layer) neural network? And a related question is: which activation functions allow such a representation? In this paper, we provide an answer to both questions: the only “and”and “or”-operations that can be thus represented are max(0,a+ b− 1) and min(a+ b,1), and the only activations functions allowing such a representation are equivalent to the rectified linear function – the one used in deep learning. This result provides an additional explanation of why rectified linear neurons are so successful. With also show that with full 2-layer networks, we can compute practically any “and”and “or”-operation.
A Power-Decoupled Current-Source Inverter for PV Energy Harvest and Grid Voltage Regulation

The single-phase microinverter (SMI) is becoming one of the most cost-efficient interfaces for bridging photovoltaics (PV) and power systems. However, in the maximum power point tracking operation, the SMI injects an intermittent active power to the grid, which leads to voltage variations at the point of common coupling (PCC). This certainly dampens the power quality of grids. Besides, the power mismatch between the dc and ac terminals of SMIs will render a double-line-frequency pulsating power at the dc terminal, which inevitably increases the power ratings of the circuit components of the SMIs. To address these issues simultaneously, a power-decoupled current-source inverter (PD-CSI) is proposed in this article. The PD-CSI can provide the required reactive power compensation for regulating the PCC voltage. Meanwhile, it is imbedded with an active power decoupling circuit, which can actively store the double-line-frequency pulsating power in a film capacitor so that the PV can be operated at a constant dc current. The state-space model and steady-state operation of the PD-CSI are elaborated. The controllers are designed for achieving the active power decoupling operation and the PCC voltage stabilization. Experimental and simulation results in an 110-V ac microgrid have been provided to validate the simultaneous functionalities of the active power decoupling and grid voltage regulation for the proposed PD-CSI.
Educational Choice, Initial Wage and Wage Growth

We study the effects of expected initial wages, expected wage growth, and observed and unobserved heterogeneity in the choice of college major in a sample of American college graduates. We propose a three-stage empirical model that relates future earnings to individual choices. In the first stage, starting from revealed choices, observed wages, and life-cycle wage profiles, we estimate the expectation on initial wages and wage growth from the individual point of view, where the panel structure of the data allows us to produce estimates corrected for self-selection bias. We find substantial differences in expected real wages and expected real wage growth between majors and that both characteristics of life cycle earnings influence major choice. Our parametric models show a strong correlation between salary trends and major choice, whereas semiparametric models yield less reliable results. We interpret our results as being consistent with agents being rational and as a validation for our estimation strategy based on counterfactual imputation.
La discutible utilidad de los interrogatorios de partes y testigos (Algunas reflexiones sobre la oralidad en tiempos de pandemia)

La regulacion y practica de los interrogatorios no es coherente con las recomendaciones que realizan los autenticos expertos en la materia: los psicologos del testimonio. Ello desvela que muy pocas veces se obtiene informacion verdaderamente util de esas pruebas, lo que pone seriamente en cuestion su utilidad, sobre todo en la realidad actual en la que contamos con abundantes pruebas documentales y periciales que nunca pudieron imaginar los legisladores del siglo XIX, y aun despues. En consecuencia se impone, o bien un cambio profundo de su regulacion legal, o bien la excepcionalidad de su admision como medio de prueba, al estilo de lo que sucede con el reconocimiento judicial en el proceso civil.
Effect of Hip Assistance Modes on Metabolic Cost of Walking With a Soft Exoskeleton

Understanding the effects of different hip assistance modes is a fundamental step in the process of designing hip assistance devices and controllers that can provide better performance in terms of metabolic cost. We have developed and tested a soft exoskeleton for hip assistance, which includes three assistance modes: hip extension assistance (HEA), hip flexion assistance (HFA), and hip extension and flexion assistance (HEFA). A proportional derivative (PD) iterative learning controller based on the feedforward model was proposed to control the assistive force accurately. The three hip assistance modes were evaluated on seven male subjects walking on a treadmill at a speed of 5 km/h in two scenarios—first with a 15-kg backpack and then without any backpack. The net metabolic costs could be reduced during the loaded condition, compared with those under no exoskeleton condition, by 9.95%, 6.25%, and 15.28% for HEA, HFA, and HEFA, respectively. The reductions were found significant in HEA ( $p=0.048$ ) and HEFA ( $p=0.005$ ) modes, while the HFA mode ( $p=0.202$ ) was not found statistically significant. It indicates that the HEA and HEFA modes with the soft exoskeleton provide more benefit to the net metabolic cost compared with the HFA mode. The net metabolic costs reduced during the unloaded condition were 9.21%, 2.58%, and 13.05% for HEA, HFA, and HEFA, respectively. The improvements in the walking efficiency during both the conditions with the developed soft exoskeleton are demonstrated. Note to Practitioners—This article was motivated by the problem that how to reduce the metabolic cost most appropriately of walking by hip assistance of soft exoskeleton. In this article, we conduct a comparison of three hip assistance modes to discuss the balance of system weight and assistance efficiency. We then propose a PD iterative learning controller based on the feedforward model to track the desired assistive force accurately. Preliminary experiments suggest that the hip extension assistance (HEA) is more suitable than hip flexion assistance (HFA) for hip assistance during single motion assistance. Multiple motion assistance is more beneficial for metabolic cost reduction when the weight of the soft exoskeleton is the same. The experimental tests show that the proposed soft exoskeleton and the control algorithm are effective for walking assistance during the loaded condition. However, the performance of the hip assistance device is tested based on the treadmill walking only. In future research, we will conduct a performance evaluation of the soft exoskeleton on a complex road environment.
Anti-diabetic and Anti-cholesterolmic effects of bittergourd(mommordica charantia Linn) fresh fruit juice metabolites to cure Alloxan Monohydrate induced Type-1 diabetes in Albino Rats

In the present study an effort has been made to assess the hypoglycemic and anti–cholesterolmic activity of better gourd juice in alloxan monohydrate induced experimental animal model. Rats were acclimatized for 7 days in lab temperature. All animals were given standard water and pellet diet. Diabetes was induced in rats with the help of alloxan monohydrate (120 mg/kg body weight). After alloxan monohydrate injection rats were separated and treatment started with fresh better gourd juice and insulin. A marked rise in fasting blood glucose as well as serum cholesterol level were observed in diabetic control rats when compared to normal control rats. Antihyperglycemic and anti–cholesterolmic activity observed in bittergurd juice administered rats on 7th,14th,21th and 28th days post treatment.Anti–hyperglycemic and anti–cholesterolmic activity was found more effective than that of insulin treatment group. It is hope that present investigation will be helpful in establishing a scientific basis for anti–diabetic and Anticholesterolmic effects.
Building WordNet for Afaan Oromoo

WordNet is a lexical database which has many relations to disambiguate the sense of words for natural languages. From the WordNet relations synonyms and hyponym has major role for natural language processing and artificial intelligence applications. In this paper, word embedding (Word2Vec) and lexico-syntactic pattern (LSP) are developed to extract automatically synonyms and hyponyms respectively. For this study, the word embedding is evaluated on two specialized domain algorithms such as a continuous bag of words and Skip Gram algorithms and show superior results. Applying word embedding (Word2Vec) algorithms for Afaan Oromo texts has been registered 80.09% and 85.04% for the continuous bag of words and Skip Gram respectively. According to the result achieved in this study, the skip-gram algorithm does a better job for frequent pairs of words than a continuous bag of words. But, a continuous bag of words algorithm is faster while skip-gram is slower. A lexical syntactic pattern with the combination of Word2Vec and without Word2Vec is also evaluated using information retrieval evaluation metrics such as precision, recall and F-measure to extract hyponym relation from Afaan Oromoo texts. The precision, recall and F-measure have been registered by lexical syntactic patterns without the combination of Word2Vec is 66.73%, 72%, and 69.26% respectively and with the combination of Word2Vec 81.14%, 80.8%, and 81.1% have been registered for precision, recall and F-measure respectively. There are factors that could affect the accuracy of results: 1) the style of writer of Afaan Oromoo i.e. they write a noun phrase with many adjective to express the noun for the reader; and, 2) it is possible that some instances of the LSP are missed due to misspellings and other typographical errors. Keywords: Afaan Oromoo WordNet, Word embedding, Lexico syntactic patterns, Extraction of WordNet relations. DOI: 10.7176/CEIS/11-3-01 Publication date: May 31 st 2020
Preprocessing and Enhancement for Image Fusion using Composite Algorithm

A technique of alignment and removal of noise is a prominent pre-processing part of biomedical image fusion. The purpose is to evaluate and analyze visually as well as parametric findings. However, considering practical execution still there is need for improvement in pre-processing for image processing applications. Therefore, the problem of blockage and variation in scans of patients, need to be overcome by properly align and denoise input images. Therefore to design the registration algorithm in such a way, it should cover all geometric motions of biomedical images, by which it is useful to the practitioner for the detection of medical defects. Herewith we have proposed a log-polar and phase correlation composite algorithm for the registration of all geometric motions. The proposed algorithm preserves the outline portion and surface information from the images, which yields perceptible effects. This will be useful in order to take out visual data from a noisy background. Since it is shown that the results with noisy and after denoised compared visually and also parametric analysis is carried out by calculating PSNR, MSE, contrast, structural content, entropy, etc
Polarization Lidar for Detecting Dust Orientation

We present the preliminary design of a polarization lidar system for detecting oriented dust particles. The system emits linearly- and circularly-polarized light from two lasers and detects the backscattered light, using two telescopes. The emitted light by each laser is detected from both telescopes alternatively, providing in this way two times the signals recorded by a conventional system. The system has also the capability of performing measurements at different zenith angles. Its detection strategy is based on scattering calculations for mixtures of oriented and randomly-oriented dust particles in different atmospheric scenarios.
Nitrate removal and nitrous oxide production from upflow and downflow column woodchip bioreactors

Woodchip denitrifying bioreactors (WDBR) reduce off‐field tile drainage nitrogen (N) losses from agricultural fields. Limited evaluation exists regarding the influence of flow direction through WDBRs. Changing flow direction could reduce short circuiting. This study evaluated the dependency of nitrate‐N removal and dissolved nitrous oxide (dN2O) production rates on vertical flow direction in triplicate column bioreactors at 12‐h (without carbon dosing) and 2‐h (with carbon dosing) hydraulic residence times. Results presented demonstrate that there was no significant difference in overall N removal rates from these column bioreactors as a function of flow direction. There was the suggestion of lower N2O production in the downflow direction, although this was not statistically significant due to the high variability of the N2O production observed in the upflow direction. Carbon addition led to bioclogging of downflow columns; future work needs to identify dosing rate, placement, and conditions that prevent biofilm formation.