Miracle-dz/UniFAR-FTUs huggingface dataset:
Scan-Architecture-Based Evaluation Technique of SET and SEU Soft-Error Rates at Each Flip-Flop in Logic VLSI Systems

A scan flip-flop (FF) is designed to observe both single event transient (SET) and single event upset (SEU) soft errors in logic VLSI systems. The SET and SEU soft errors mean the upset caused by latching an SET pulse that originates in combinational logic blocks and the upset caused by a direct ion hit to the FF, respectively. An irradiation test method using the scan FF is proposed to obtain SET and SEU soft-error rates at each FF distributed in logic VLSI systems. A test chip is designed using a 0.2-mum fully-depleted silicon-on-insulator standard cell library. The basic concepts have been validated with Verilog timing simulations. The cell-level implementation costs of the proposed scan FF are estimated to be reasonable.
The research of improved association rules mining Apriori algorithm

This paper points out the bottleneck of classical Apriori's algorithm, presents an improved association rule mining algorithm. The new algorithm is based on reducing the times of scanning candidate sets and using hash tree to store candidate itemsets. According to the running result of the algorithm, the processing time of mining is decreased and the efficiency of algorithm has improved.1
The contribution of board of directors’ roles to ambidextrous innovation

PurposeThe purpose of this paper is to examine the link between board of directors’ roles namely strategy, service and control roles and ambidextrous innovation. This study also aims to determine whether the independence and gender diversity of boards have mediating effects in this relationship.Design/methodology/approachOn the basis of a quantitative approach, the authors conducted a survey on all Tunisian-listed firms. A partial least square method was used to analyze the quantitative data. The authors also conducted semi-structured interviews with a sample of boards’ members of the surveyed firms followed by a thematic analysis of the discourses to discuss the results.FindingsResults revealed that ambidextrous innovation is negatively linked to board’s control role. The outcomes of this research show also that ambidextrous innovation is positively associated with board’s service role and that the gender diversity moderates positively this link. Findings do not indicate a significant relationship between board’s strategy role and ambidextrous innovation but show evidence that the relationship is negatively moderated by independent directors, while positively moderated by gender diversity.Originality/valueThis research sheds light on the effects of Boards’ roles on ambidextrous innovation and the moderating effect of board’s gender diversity and independence as well. This paper addresses the gap in the literature as this thematic has not been studied, offering key insights with regard to corporate governance of companies looking to achieve ambidextrous innovation.
Printed antenna for satellite communications

An antenna which has been conceived as a portable system for satellite communications is introduced. It is a planar and a compact structure with a size of 40×40×2.5cm. The antenna is formed by a square array of 256 printed elements covering a large bandwidth (14.7%) at X-Band with a 1.4:1 VSWR, including the transmission (Tx) and the reception (Rx) bands simultaneously. The printed antenna has a radiation pattern with a 3dB beamwidth of 5o, over 31dBi directivity, a dual and an interchangeable circular polarization and a feeding network with total losses about 0.8dB. The complete design of the antenna is shown in this work, besides measurements of the radiation capabilities of the radiating element, the unit cell and the behavior of some components of the feeding network.
Improvement measures to achieve sustainable construction labour performance

Abstract Construction industry is the largest industrial employer of the world. However, construction labour suffers from declining productivity, job satisfaction and wellbeing. Given its volume and labour extensiveness, measures undertaken to improve labour sustainability of the construction industry would have high impact for the future. To improve the sustainability of labour performance, this paper suggests decision-making measures at the strategic, tactical, and operational levels. Data is generated through targeted interviews of the top management of the five biggest Norwegian construction contractors. The measures suggested by the interviewees are analyzed and complemented with theory through a systematic literature review, resulting in the development of 45 measures to achieve sustainable labour performance at strategic, tactical and operational decision-making levels. Due to strict labour laws and regulations, some frequently reported measures in literature do not hold relevance to the Norwegian construction industry. However, the quality of data and unique position of the Norwegian construction industry magnifies its relevance to the global construction industry.
Substrate-less oscillator module realized by gap waveguide technology for millimeter wave applications

A novel substrate-less oscillator module realized by gap waveguide technology is proposed in Ka band. No substrate is used in the RF section of the implemented oscillator and the whole structure is made by machining a piece of metal. The oscillator was made of three pieces and was assembled easily without needing a precise contact between them. Active device and the resonator of the oscillator are stacked in different layers. The fabricated oscillator module is self-packaged and doesn't need any packaging. It is shown that simulated and measured results are in good agreements. This paper is a step forward to shows the capability of the gap waveguide technology for implementing the whole RF front-end in microwave and millimeter wave systems.
The impact of agriculture on the waters of the Idaho portion of the Snake River Basin, USA

The Snake River Basin is the largest sub-basin of the International (Canada and USA) Columbia River Basin in North America and covers 280,000 km2. Over 70% of the Snake River Basin is within Idaho. The Snake River is 1,674 km in length and the majority of the Basin is dry with annual precipitation averaging less than 300 mm. The snowpack in the mountains of the northern part of the Basin provide significant surface and groundwater resources for the Idaho portion of the Snake River Basin. Consequently, surface water and groundwater withdrawals exceed 64,000,000,000 l/day. Over 86% of the withdrawn water is currently used on 1,500,000 ha of irrigated agricultural land. The purpose of this paper is threefold: (1) to understand current and future pressure on the limited water resources of the Snake River Basin, (2) to gain an understanding of the value of the public places on the water resource and agriculture, and (3) to suggest sustainable practices that can be used in the future to support population growth, wise water resource use, and agriculture in the Snake River Basin. Currently, the basin does not have excess water, so water-use distribution must change as the population grows. Currently, the human population within the basin is increasing at the rate of 25,000 to 30,000 people per year. A significant portion of this growth has caused the conversion of irrigated farmland to cities. Thus, irrigated agriculture’s share of water will decline from 86% today to less than 72% by 2040. Mailbased surveys were used to understand how the public view the Snake River Basin’s water resource. The majority of Snake River Basin residents are supportive of agriculture’s use of water (84%) and consider irrigated agriculture an important cultural aspect of Idaho (77%). The following four strategies should be the focus of a long-term sustainable plan: (1) use land-use planning to determine which agricultural land should be protected from urban development, (2) improve water use and irrigation efficiency in irrigated agriculture, (3) reduce the amount of irrigated land devoted to low value crops, and (4) provide consumer education about the agriculture – water resource – population nexus in the Snake River Basin of Idaho.
Silicon photomultiplier based continuous-wave functional near-infrared spectroscopy module with multi-distance measurements

In recent years, there has been growing interest in developing fiberless and wireless functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) instruments. However, developing such instruments poses multiple challenges, in terms of cost, safety, system complexity and achievable signal quality. One crucial factor in developing wireless and fiberless instruments is the appropriate choice of detectors. Currently, the majority of existing wireless and/or fiberless systems use photodiodes due to their low cost and low power requirements. However, under low-light conditions, the SNR of photodiodes diminishes significantly, making them less effective for measurements with long source–detector separations. The silicon photomultiplier (SiPM) is a relatively new type of detector that contains high internal amplification; this makes SiPMs suitable for low-light applications. Although SiPMs can increase signal quality at long source–detector distances, they cost more and have higher power requirements than photodiodes. This thesis presents the design of a multi-distance, multichannel DOT prototype that uses a hybrid detector arrangement. This arrangement uses photodiodes for short-distance measurements (i.e., 1 cm) and silicon photomultipliers for long-distance measurements (i.e., 3 cm and 4.5 cm). The developed system consists of two printed circuit boards (PCBs): a DOT sensor PCB, a data acquisition and control PCB as well as a graphical user interface. The performance of the developed DOT system prototype was validated using a dynamic optical phantom. The results show that the prototype works as intended.
A 100-dB CMRR CMOS Operational Amplifier With Single-Supply Capability

A CMOS operational amplifier that has a common-mode rejection ratio (CMRR), a power-supply rejection ratio (PSRR), and gain above 100 dB for each of these parameters is described. This is achieved by combining a high output-impedance tail current source with a stable drain-source voltage of the input transistors. The common-mode input signal range includes the negative rail. This is obtained by controlling the bulk bias of the input and cascoding transistors. The amplifier consists of two gain stages connected via cascoded current mirrors. The gain is improved by using gain boost in the current mirrors, and by the suppression of impact ionization current in the output stage
Low-dose bisphenol A (BPA)-induced DNA damage and tumorigenic events in MCF-10A cells

Abstract The carcinogenic capacity of Bisphenol A (BPA) at nano-molar concentrations of 8.73 and 17.47 nM (in culture) was evaluated on both normal breast epithelial cells (MCF-10A) and breast cancer cells (MCF-7). The highest DNA damage was recorded at 6 h and MCF-10A cells showed significant increase of IGF1R protein while mRNA expression was unchanged; however, the converse was true for MCF-7 cells. Homology modeling predicted the structure of SPCA1/2 and indicated BPA binding within catalytic domain. Our data indicated that BPA caused detectable DNA damage, inhibited cellular SPCA1/2 protein which eventually dysregulated Ca2+-dependent IGF1R.
The Hybrid Machine Learning Model Based on Random Forest Optimized by PSO and ACO for Predicting Heart Disease

In this paper, we used the hybrid Machine Learning model, for proposed PA-RF, a classification based on Random Forest model, optimized by Particle Swarm Optimization (PSO) associated with Ant Colony Optimization (ACO), and we use Fast Correlation-Based Feature Selection (FCBF) method to filter redundant and irrelevant characteristics, in order to improve the quality of heart disease classification. The proposed mixed approach is applied to the heart disease dataset. The results demonstrate the effectiveness and robustness of the proposed hybrid method in processing various types of data for the classification of heart disease. Therefore, this study examines the different automatic learning algorithms and compares the results using different performance measures, i.e. Accuracy, Precision, Recall, F1-Score, etc. The data set used in this study comes from the UCI's automatic learning repository, entitled "Heart Disease" Data set. We can be concluded that PA-RF has demonstrated efficiency and robustness compared to other classification methods.
Experimental Study on Axial Compression Behavior and Bearing Capacity Analysis of High Titanium Slag CFST Columns

In order to study the axial compression behavior of concrete-filled steel tubular (CFST) columns filled with high titanium slag, a total of 32 specimens, including normal CFST columns, half-high titanium slag CFST columns, and full-high titanium slag CFST columns, were used as experimental samples in this study. The axial compression behaviors of high titanium slag CFST columns and normal CFST columns with various parameters such as length–diameter ratio, strength grade of concrete, strength grade of steel tube, steel content ratio, etc., were evaluated and compared through axial compression testing under monotonic static loading. The results showed that the axial compressive behaviors of high titanium slag CFST columns with various length–diameter ratios were not significantly different from those of normal CFST columns, both of which showed good axial compression performance. In addition, the length–diameter ratio limit between short and medium long column was from 3.5 to 4.4. The length–diameter ratio was the main factor influencing the shape of load–deformation curve of CFST columns. The casing hoop coefficient also had a great influence on the bearing capacity of short columns, while the influence on that of middle and long columns was not obvious. In the end, the bearing capacities of all specimens were calculated by bearing capacity formulas in European EC4, American AISC360-10, and Chinese GB50936-2014 standards. The calculated values were in good agreement with the test results.
Do we train how we play? Investigating skill patterns in Australian football

ABSTRACT Objectives: To examine the frequency of task-constraints between game-scenario training drills and competition games for all disposals, by considering, temporal, distance, pressure and related situational factors. Methods: The skill patterns of elite-level Australian football players (n = 33) were compared relative to playing environment (training/games), disposal type (handballs/kicks), and further categorised by ‘state of play’ factors. Results: Game measures relating to high-intensity pressure applied to the ball-carrier and receiving players were significantly under-represented during training, particularly for kicks (all p < 0.001). Physical pressure acts such as tackling were more frequent in games (p < 0.001). Further, kicks executed in 0-1 s also occurred more frequently in games compared to training (p < 0.001). For handballs, most (8/9) constraint frequencies were higher at training than in games (p < 0.03–0.001). Conclusion: It is likely that for training to more closely resemble games, ball-disposals (especially kicking) must be produced under highly contested conditions and executed within minimal time. These findings may enhance current training practices in the Australian football league, as well as assist in the development and prescription of innovative training drills to better prepare players for the specific game demands they experience.
Accelerated modeling and new ferroelectric materials for naval SONAR

We have computationally designed new materials for use in naval sound navigation ranging (SONAR). Our quantum-mechanical studies show that these lead-free, nontoxic oxides are high-performance piezoelectrics with promise for use in naval SONAR and communications applications. To enable this research, we also present techniques for greatly accelerated modeling of oxide materials. We show that a simple atomistic model accurately reproduces our quantum-mechanical results yet is thousands of times faster. We also report successful porting and performance tuning of our computer codes to the CRAY X1, resulting in a great speed-up over previous architectures.
Validation of Persian version of PHQ-9 for diagnosis of major depressive episode in psychiatric wards in IRAN

Major depressive disorder is one of the most serious and disabling psychiatric disorders. It can be followed by medical problems, impaired individual functioning, reduced quality of life and mortality (1-3). The prevalence varies among different countries. This discrepancy depends on genetics, environmental parameters, racial factors, cultural differences in perceiving diagnostic parameters, psychometric characteristics of diagnostic tools and sampling protocol (3). Major depressive episode may happen during major depressive disorder (unipolar depression) and also in bipolar disorder type I and II patients.
EDAS/COAS Based Antenna Selection for Code Index Modulation Aided Spatial Modulation

DOI : 10.26650/electrica.2019. 19003 In this study, a new code index modulation (CIM) aided spatial modulation (SM) technique based on the Euclidean distance and capacity optimized based antenna selection (EDAS/COAS), called EDAS/COAS-CIM-SM, is proposed for multiple-input multiple output (MIMO) systems. Since in the proposed EDAS/COAS-CIM-SM technique, incoming information data bits indicates modulated symbols, activated transmit antenna indices as well as their corresponding spreading code indices, data bits are conveyed not only by the modulated symbols but also by the indices of the active antenna and spreading code indices. Thus, the proposed two systems provide faster data rates while spending less transmission power and possessing better error performance than the conventional direct sequence- spread spectrum (DS-SS), SM, EDAS and COAS based SM (EDAS-SM, COAS-SM), and CIM based SS (CIM-SS) systems. In addition, in order to improve the overall performance of the CIM aided SM (CIM-SM) system, EDAS and COAS techniques are considered at the receiver. Computer simulations have also shown that the EDAS/COAS-CIM-SM system has better error performance than the CIM-SM system over the Rayleigh fading channels for binary phase shift keying (BPSK) modulation schemes. Cite this article as : Aydin E. EDAS/COAS Based Antenna Selection for Code Index Modulation Aided Spatial Modulation. Electrica 2019; 10.26650/electrica.2019. 19003.
Selective 2-Propanol Oxidation over Unsupported Co3O4 Spinel Nanoparticles: Mechanistic Insights into Aerobic Oxidation of Alcohols

Crystalline Co3O4 nanoparticles with a uniform size of 9 nm as shown by X-ray diffraction (XRD) and transmission electron microscopy (TEM) were synthesized by thermal decomposition of cobalt acetylacetonate in oleylamine and applied in the oxidation of 2-propanol after calcination. The catalytic properties were derived under continuous flow conditions as a function of temperature up to 573 K in a fixed-bed reactor at atmospheric pressure. Temperature-programmed oxidation, desorption (TPD), surface reaction (TPSR), and 2-propanol decomposition experiments were performed to study the interaction of 2-propanol and O2 with the exposed spinel surfaces. Co3O4 selectively catalyzes the oxidative dehydrogenation of 2-propanol, yielding acetone and H2O and only to a minor extent the total oxidation to CO2 and H2O at higher temperatures. The high catalytic activity of Co3O4 reaching nearly full conversion with 100% selectivity to acetone at 430 K is attributed to the high amount of active Co3+ species at the cataly.
Weirdness is in the eye of the beholder

Abstract Henrich et al.'s critical review demonstrating that psychology research is over-reliant on WEIRD samples is an important contribution to the field. Their stronger claim that “WEIRD subjects are particularly unusual” is less convincing, however. We argue that WEIRD people's apparent distinct weirdness is a methodological side-effect of psychology's over-reliance on WEIRD populations for developing its methods and theoretical constructs.
Sir2 is essential for intergenerational effects of parental diet on offspring metabolism in Drosophila

Recent studies have revealed that parental diet can affect offspring metabolism and longevity in Drosophila. However, the underlying mechanisms are still unknown. Here we demonstrate that Sir2 encoding an NAD+-dependent histone deacetylase is required for the intergenerational effects of low nutrition diet (1:5 dilution of standard diet). We observed an increased amount of triacylglyceride (TAG) in the offspring when fathers were maintained on a low nutrition diet for 2 days. The offspring had increased levels of metabolites of glycolysis and TCA cycle, the primary energy producing pathways. We found that Sir2 mutant fathers showed no intergenerational effects. RNAi-mediated knockdown of Sir2 in the fat body was sufficient to mimic the Sir2 mutant phenotype, and the phenotype was rescued by transgenic expression of wild-type Sir2 in the fat body. Interestingly, even fathers had no experience of low nutrition diet, overexpression of Sir2 in their fat bodies induced a high level of TAG in the offspring. These findings indicated that Sir2 is essential in the fat body of fathers to induce intergenerational effects of low nutrition diet.
A high voltage SiC-based boost PFC for LED applications

This paper reports a single-stage grid-supplied boost converter with power factor correction (PFC) for LED-applications using Silicon-Carbide (SiC) and operating at the boundary between continuous and discontinuous conduction modes (CCM-DCM) to reduce switching losses. The converter is supplied by a 230 Vrms grid voltage, and attains 1200 V DC at the output port, where a-spot of 320 LEDs connected in series is supplied at constant current. Sliding-mode control theory is employed to analyze the switching regulator dynamics, assuring the system stability. The controller is easily implemented by means of a hysteretic comparator avoiding the risk of modulator saturation. The power switch is realized with silicon carbide (SiC) devices to improve the performance of low-power -grid -supplied LED-based lighting systems. The experimental results are in perfect agreement with the theoretical predictions and demonstrate the feasibility of the proposed approach.
Bioceramics and Scaffolds: A Winning Combination for Tissue Engineering

In the last few decades, we have assisted to a general increase of elder population worldwide associated with age-related pathologies. Therefore, there is the need for new biomaterials that can substitute damaged tissues, stimulate the body’s own regenerative mechanisms, and promote tissue healing. Porous templates referred to as “scaffolds” are thought to be required for three-dimensional tissue growth. Bioceramics, a special set of fully, partially, or non-crystalline ceramics (e.g., calcium phosphates, bioactive glasses, and glass–ceramics) that are designed for the repair and reconstruction of diseased parts of the body, have high potential as scaffold materials. Traditionally, bioceramics have been used to fill and restore bone and dental defects (repair of hard tissues). More recently, this category of biomaterials has also revealed promising applications in the field of soft-tissue engineering. Starting with an overview of the fundamental requirements for tissue engineering scaffolds, this article provides a detailed picture on recent developments of porous bioceramics and composites, including a summary of common fabrication technologies and a critical analysis of structure–property and structure–function relationships. Areas of future research are highlighted at the end of this review, with special attention to the development of multifunctional scaffolds exploiting therapeutic ion/drug release and emerging applications beyond hard tissue repair.