Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of related flow cytometry parameters with FAB subtype of acute myeloid leukemia associated with histological assessment

The acute leukemia is a group of malignant disorders of the haemopoietic cells, characteristically related with increases of number of leucocytes in the blood. The present study is aimed to evaluation the expression of immunophenic antibodies which used on blast cells to diagnosis and classification acute leukemia by flow cytometry to define their relationship with age, gender and French-American–British (FAB) subtypes, and assessment complete blood count (CBC) including white blood cells WBCs, hemoglobin HGB, and platelets PLTs, addition to define histological changes of bone marrow biopsy (BMB) of acute leukemia patients. This study included 73 patients were newly diagnosed with acute myeloid leukemia (AML), 60 of them was adults (range 15 –77 years), and the other 13 cases were children (range 1–14 years). The patients divided into three groups: 15-35, 36-55, and 56-77 years, while children patients divided into: 0-4, 5-8 and 9-14 years. The results shown that fever and paleness were the most common clinical feature among acute myeloid leukemia patients ( adults and children).
Modeling Asymmetric Effects and Long Memory in Conditional Volatility of Dhaka Stock Exchange: New Evidence from Family of FIGARCH Models

This paper investigates modeling the conditional volatility of the Bangladesh equity market, namely the Dhaka Stock Exchange benchmark index (DSEX) and the Shariah Index (DSES), to explore the presence of leverage effects and long memory behavior covering the period from July 01, 2004 to December 31, 2020. We employ a family of Fractionally Integrated GARCH models FIFARCH BBM, FIGARCH CHUNG, FIEGARCH, FIAPARCH BBM, FIAPARCH CHUNG, and HYGARCH to capture both asymmetric effects and long memory behavior in conditional variance, a unique study in volatility literature. We detect strong evidence in favor of asymmetric effects and long memory behavior in the conditional volatility of DSEX and DSES returns, which repudiates the weak-form efficient market hypothesis. The study reveals FIEGARCH and FIAPRACH CHUNG outperform the other fractionally integrated GARCH specifications in modeling conditional volatility of equity returns. The paper further examines the diagnostic test of misspecification of the conditional variance equation based on the news impact curve, and results ensure that all models are fairly specified. This study also looks into the risk-return tradeoff in time-varying volatility and finds no evidence of the positive relationship between equity returns and volatility dynamics. The findings have pragmatic implications for retail and wholesale investors and other market players to initiate the investments and hedging strategies before investing in an emerging equity market like Bangladesh.
The Effects of In-Process Cooling during Friction Stir Welding of 7475 Aluminium Alloy

Certain age hardenable alloys such as AA7475 cannot be joined with perfection using fusion welding techniques. This requires non-conventional welding technique such as friction stir welding process to join these ‘difficult to weld’ alloys. In this study, three different cooling conditions i.e. cryogenic, sub-zero, and zero-degree Celsius temperature conditions have been analyzed to understand its impact on the welding process. In-process cooling was found to behave effectively and also enhanced the mechanical properties of the welded joints. A stable microstructure was clearly seen in the images observed under the metallurgical microscope. The weld efficiencies were found to be good in each of the samples which are indicative of a strong metallic joint. The effective cooling conditions employed had an overall positive impact on the joint.
Three-phase transient state estimation algorithm for distribution systems

The detection of the source and severity of disturbances is important as this allows network companies to respond faster and remediate the problem more quickly. After an event, knowledge of the severity of a disturbance at various busbars gives understanding of what equipment was subjected to and an indication of possible improvements needed to mitigate further events. Owing to the cost, it is impractical to fully monitor the network, however, with judicious selection of measurement points, and using state estimation techniques, allows information at unmonitored locations to be determined. Hence, a cost effective detection system can be developed. This study documents a new three-phase transient state estimation algorithm and demonstrates its performance with realistic background harmonic voltage distortion and with measurement error. The transient state estimation is based on the numerical integrator substitution method (Dommel's method for discretising the differential equations).
On a Novel Tool Life Relation for Precision Cutting Tools

When using new, very expensive superhard tool materials (diamond or CBN) for precision and ultraprecision machining of parts made, very often, from expensive materials, exact knowledge of the tool wear process (considering, of-course, its stochastic character) is absolutely necessary. It means, that we need new tool-life equations for these new tools. In the present paper, a new tool life relation is proposed based on machining experiments. It reflects the two-extremum form of tool life curves and is valid for a wide range of cutting conditions.
Internal Curing of Concrete Bridge Decks in Utah

The objectives of this research were (a) to monitor in situ bridge deck properties such as moisture and diffusivity for both conventional concrete and concrete containing prewetted lightweight fine aggregate, which is intended to provide internal curing; (b) to compare deck performance in terms of early-age cracking; and (c) to evaluate the compressive strength and chloride permeability of concrete mixtures in the laboratory using cylinders cast in the field at the time of deck construction. The research scope included four bridges—two constructed with conventional concrete and two containing prewetted lightweight fine aggregate—in northern Utah. Data from sensors embedded in the concrete decks indicated that the moisture content of the internally cured concrete was 2% to 3% higher at 28 days than the moisture content of the conventional concrete. Although the internally cured concrete had a higher moisture content, the electrical conductivity values were approximately the same for all decks after a few months; these values suggested that the two types of concrete had similar diffusivity. At 28 days, the average strength of the internally cured concrete was 1% higher than that of the conventional concrete, and the internally cured concrete passed between 2% and 30% less current during the rapid chloride permeability test than the conventional concrete. After 2 months, three to five cracks about 0.2 to 0.3 mm in width were found on each of the conventional concrete bridge decks, but no visible signs of cracking were found in the bridge decks with internal curing.
Low-power explicit-pulsed triggered flip-flop with robust output

A novel power-efficient explicit-pulsed dual-edge triggered flip–flop (SEDNIFF) is proposed. The proposed SEDNIFF puts the latch node inside its structure, which not only simplifies the latch structure but also strengthens the robustness of the output signal. Based on the TSMC0.18 µm technology, the post-layout simulation results show that the proposed flip–flop gains an improvement of up to 17.9 and 23.5% in terms of total average power and power–delay product, respectively, as compared with its counterparts.
Giant Enhancement of Spin‐Orbit Torque Efficiency in Pt/Co Bilayers by Inserting a WSe2 under Layer

2D transition metal dichalcogenides (TMDs) are excellent candidate materials to study the effect of spin‐orbit torques (SOTs). Here, the effect of a WSe2 underlayer on the magnetic properties and SOT efficiencies are systematically investigated in Pt /Co bilayers with perpendicular magnetic anisotropy. SOT efficiency ξ shows an increasing trend as the inserted WSe2 monolayer number increases from 0 to 5, which is attributed to the elevated spin absorption at the WSe2/Pt interface where WSe2 acts as a spin sink. As the Co layer thickness tCo increases from 0.6 to 1.0 nm, ξ exhibits a maximum at tCo = 0.8 nm, which is mainly due to the nonmonotonic change of spin transmission at the Pt/Co interface. Moreover, the ξ value of WSe2 (5ML) /Pt/Co increases significantly when the measurement temperature decreases, which can be interpreted by the increased spin absorption capability of WSe2 due to the elevated spin mixing conductance at reduced temperatures. The findings provide deep insight into the origin of robust charge‐spin conversion in the TMD/Pt/Co system, which will promote the implementation of advanced SOT devices based on the 2D materials.
Sustainable supply chain management and financial performance: An empirical analysis of Turkish manufacturing companies

The linkage between sustainable supply chain management (SSCM) and financial performance has attracted increasing interest from both researchers and practitioners. Although many have argued that the SSCM practices improve financial performance, empirical studies have produced mixed results, and the direction of the relationship is still unclear. This study examined the relationship between SSCM and financial performance for Turkish manufacturing companies. Financial performance was measured using ROA, ROE and price to book ratio, while SSCM performance was measured with a new multivariable performance indicator. Financial performance data were obtained from the Bloomberg Database, while SSCM data were collected from non-financial reports using content analysis. The total sample included 47 manufacturing companies listed in Borsa İstanbul, covering 584 firm-year observations for 2007-2019. Panel data regression analysis was used to test the relationship between SSCM and financial performance. Similar to the literature's general view, the findings support a positive linear relationship between SSCM and firm financial performance.
Total ionizing dose effects in bipolar devices and circuits

The development of the investigation of total dose effects in bipolar devices and circuits is covered over the past 40 years. There are at least four chronological stages in this field of study highlighted by the early studies on discrete transistors, the effects of total dose on linear circuits and I/sup 2/L, the effects of total dose on recessed field oxide digital circuits and, most recently, the low dose rate sensitivity of bipolar linear circuits.
Accurate analysis of TEM horn antennas for pulse radiation

In the past, various approximate theoretical models have been used to analyze TEM horn antennas. Because of the limitations of these approximate models, there has been, to date, only qualitative agreement of measurements for TEM horn antennas with the predictions of the theories. The finite-difference time-domain (FDTD) method is used to accurately analyze TEM horn antennas for pulse radiation. First, the metallic triangular-plate TEM horn antenna is considered. Computed results for the reflected voltage in the feeding transmission line and the time-varying radiated electric field are shown to be in very good agreement with new experimental measurements. Graphs of the electric field in the space surrounding the antenna (magnitude of field plotted on a color scale) are used to give a physical insight into the process of radiation. Next, the method is used to analyze two TEM horns that were previously designed for pulse radiation. The geometry and electrical properties of these antennas are more complicated than for the metallic, triangular-plate horn. One has shaped metallic plates with a resistive termination at the open end; the other has plates whose resistance varies continuously along their length. The computed results for these antennas are compared with previously made experimental measurements.
Optical fiber gas sensors based on hydrophobic alumina thin films formed by the electrostatic self-assembly monolayer process

Optical fiber gas sensors have been fabricated by deposition of Al/sub 2/O/sub 3/ and polymer ultra-thin films on the ends of optical fibers using the electrostatic self assembly monolayer process. These sensors are designed to operate at the standard transmission wavelengths with no cross sensitivity to temperature from at least 10 to 70/spl deg/C. Experimental results of the response of these sensors to organic volatile compounds such as acetone, dichloromethane, or ethanol, are presented. In addition, a thermal curing process is proposed for achieving a humidity cross sensitivity of less than 1.4% from 11% to 85% of relative humidity, this cross sensitivity was still negligible after one year of the thermal curing process.
Hybrid Graphene-Based Photonic-Plasmonic Biochemical Sensor with a Photonic and Acoustic Cavity Structure

In this study, we propose a biochemical sensor that features a photonic cavity integrated with graphene. The tunable hybrid plasmonic-photonic sensor can detect the molecular fingerprints of biochemicals with a small sample volume. The stacking sequence of the device is “ITO grating/graphene/TiO2/Au/Si substrate”, which composes a photonic band gap structure. A defect is created within the ITO gratings to form a resonant cavity. The plasmonic-photonic energy can be confined in the cavity to enhance the interaction between light and the analyte deposited in the cavity. The finite element simulation results indicated that the current sensor exhibits very high values in resonance shift and sensitivity. Moreover, the resonance spectrum with a broad resonance linewidth can identify the molecular vibration bands, which was exemplified by the fingerprint detections of protein and the chemical compound CBP. The sensor possesses an electrical tunability by including a graphene layer, which allowed us to tune the effective refractive index of the cavity to increase the sensor’s sensing performance. In addition, our device admits a phononic bandgap as well, which was exploited to sense the mechanical properties of two particular dried proteins based on the simplified elastic material model instead of using the more realistic viscoelastic model. The dual examinations of the optical and mechanical properties of analytes from a phoxonic sensor can improve the selectivity in analyte detections.
Tourism employees’ fear of COVID-19 and its effect on work outcomes: the role of organizational support

ABSTRACT The COVID-19 pandemic has substantially affected tourism industry employees across the globe, particularly flight attendants, who work in enclosed spaces and in close proximity to others. This paper discusses the effect of flight attendants’ fear of COVID-19 (FC) on their work engagement and service behaviors. Furthermore, the moderating effect of COVID-19 organizational support (COS) on the relationship between fear and behaviors was investigated. Implications and recommendations for management with regard to the pandemic are also presented. Using a quantitative research approach, 316 Taiwanese international flight attendants were recruited through convenience and snowball sampling. Structural equation modeling was conducted to verify the causal relationships between the variables. FC was determined to negatively affect work engagement and service behaviors, impacts that were mitigated by high COS. Specifically, COS enabled the respondents to concentrate on and improve the quality of their work.
Decomposing response times in Williams syndrome in separate cognitive processes

ABSTRACT Williams Syndrome (WS) is a rare neurodevelopmental disorder of genetic origin. The syndrome is characterised by a selective set of deficits in a number of cognitive domains. In spite of a wealth of studies, response times (RTs) of WS have attracted little attention. In the present study, we fill this gap by analysing data from a receptive vocabulary task using the Diffusion Decision Model (DDM). Our results show that the speed of accumulation, decision threshold and non-decision time parameters of WS individuals are similar to these of typically developing 5-year-old preschoolers. In addition, WS verbal intelligence scores were associated with the speed of accumulation of lexical information. Finally, the performance of WS and preschooler individuals was correlated across the vocabulary task and an additional orientation discrimination task only at the group but not at the individual level; therefore, pointing to domain-specific lexical and perceptual processing in WS.
Unmanned aerial vehicles

Various systems, methods, for unmanned aerial vehicles (UAV) are disclosed. In one aspect, UAVs operation in an area may be managed and organized by UAV corridors, which can be defined ways for the operation and movement of UAVs. UAV corridors may be supported by infrastructures and/or systems supported UAVs operations. Support infrastructures may include support systems such as resupply stations and landing pads. Support systems may include communication UAVs and/or stations for providing communications and/or other services, such as aerial traffic services, to UAV with limited communication capabilities. Further support systems may include flight management services for guiding UAVs with limited navigation capabilities as well as tracking and/or supporting unknown or malfunctioning UAVs.
Fueling Control of Spark Ignition Engines

Presented in this paper is an adaptive, model based, fueling control system for spark ignition-internal combustion engines. Since the fueling control system is model based, the engine maps currently used in engine fueling control are eliminated. This proposed fueling control system is modular and can therefore accommodate changes in the engine sensor set such as replacing the mass-air flow sensor with a manifold air pressure sensor. The fueling algorithm can operate with either a switching type O 2 sensor or a linear O 2 sensor. The fueling control system is also parceled into steady state fueling compensation and transient fueling compensation. This feature provides the distinction between fueling control adaptation for transient fueling and steady state fueling. The steady state fueling compensation utilizes a feedforward controller which determines the necessary fuel pulsewidth after a throttle transient to achieve stoichiometry. This feedforward controller is comprised of two nonlinear models capturing the steady state characteristics of the fueling process. These models are identified from an input-output testing procedure where the inputs are fuel pulsewidth and mass-air flow signal and the output is a lambda signal. These models are adapted via a recursive least squares method to accommodate product variability, engine aging, and changes in the operating environment. The transient fueling compensation also utilizes a feedforward controller that captures the essential dynamic characteristics of the transient fueling operation. This controller is measured using a frequency domain system identification approach. This proposed fueling control system is demonstrated on a Ford 4.6L V-8 fuel injected engine.
Stability and Handling of a Three Wheeled Personal Vehicle

It has been predicted that the prevailing COVID-19 situation would result in increased demand for personal vehicles. There is a renewed interest in the 3 wheeled vehicles for short urban mobility in western countries due to their inherent cost advantages which will make it affordable for the common man. As the world is moving towards electric vehicle technology, a light 3 wheeled vehicle option will also help in reducing battery weight and thereby help in addressing the range concerns. In addition, slow speed 3-wheelers need not pass extensive safety regulation tests in many western countries including the USA. Three-wheeled vehicles are not new to developing countries like India as three-wheeled auto-rickshaws are quite popular for short distance shared travel. The existing single front wheel design known as delta design may have a stigma attached to it due to historic reasons in India. There is also a perception that the three-wheeled vehicles are highly unstable. Therefore, the current paper studies in detail an alternate design known as the tadpole design having two wheels in the front. The tadpole configuration facilitates decent styling and good aerodynamics. The tadpole configuration is modeled and analyzed using CAE multibody dynamics software, MSC Adams Car. To get confidence in the simulation results, a few benchmarked and tested vehicles are selected from the available literature [1] and the MBD results are compared for correlation. The studies also include a standard four-wheeled vehicle and a delta configuration 3-wheeler for reference purpose. The MBD virtual analyses provide results for vehicle stability and handling characteristics like overturning speed limit, oversteer and understeer behavior during constant radius cornering tests. The paper, by keeping in mind the typical urban driving condition and pattern, gives its feedback and recommendation about the tadpole configured 3-wheeler. © 2021 SAE International. All rights reserved.
A computational approach for progressive architecture shrinkage in action recognition

Efficiency plays a key role in video understanding modeling, and developing more efficient spatiotemporal deep networks is a key ingredient for enabling their usage in production scenarios. In this work, we propose a methodology for reducing the computational complexity of a video understanding backbone while limiting the drop in accuracy caused by architectural changes. Our approach, named, Progressive Architecture Shrinkage, applies a sequence of reduction operators to the hyperparameters of a network to reduce its computational footprint. The choice of the sequence of operations is automatically optimized in a coordinate‐descent schema, and the approach transfers knowledge from both the initial network and previous stages of the shrinking process by employing a Knowledge Distillation and an adaptive fine‐tuning strategy. As each iteration of the shrinking algorithm requires to train a large‐scale video understanding network, we perform experiments on MARCONI 100—a supercomputer equipped with an IBM Power9 architecture and Volta NVIDIA GPUs. Experimental evaluations are conducted using two backbones and three different action recognition benchmarks. We show that, through our approach, high accuracy levels can be maintained while reducing the number of multiply–adds operations by four times with respect to the original architectures. Code will be made available.
Massive Open Online Courses Model with Self-directed Learning to Enhance Digital Literacy Skills

The massive open online courses model with self-directed learning was developed by the researcher as a tool to promote learning out-side the classroom for the learners in digital age. The concept is based on the combination of new technologies and teaching methods with an attempt to create new ideas and innovations that can promote learning for the modern learners, and meanwhile can directly respond to their learning experiences. Thereby, the instructors are responsible for organizing the environment and creating teaching materials appropriate for the learners by making use of existing technology, which can lead to learning society in digital universities. In reference to the development of this research, the researcher has applied the new principles, the new concepts, the new theories and the new teaching innovations of the Era 4.0 in order to respond to and accommodate the cur-rent situations of learning in order that they can learn by their own any-where and anytime. The objectives of these learning styles are to encourage the learners to have self-learning experiences, skills, and capability to set up learning plans and evaluate their learning by themselves, with the aid of instructional activities to promote their learning and mutual interaction through the social networks.