Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing a Roadmapping System for Knowledge Management in an Organisation

This study aims to develop a roadmapping system that can be used as a knowledge management tool for any organization. The study employed a structured action research to test the implementation of the proposed roadmapping system in a real industrial environment. An internal facilitator collected data through a clinical inquiry approach. The output is a roadmapping system for knowledge management for an organisation, which enhances strategic capability. It also helps to capture and handle the complexities of business strategies in a simple way or that is easy to understand. The proposed roadmapping system was only tested on one firm. Pending further research, these findings should not be generalised. The proposed roadmapping system improves the capability of an organisation to plan and implement its strategies. The proposed system can be used for strategic planning and knowledge management – it allows managers to “kill two birds with one stone. ” Unlike conventional technology roadmapping (TRM) research that focuses more on the hard aspects of technical and economic elements, this study explores the soft aspects of knowledge management for improving the strategic capability of an organisation. This research has extended the traditional boundary of TRM to include effective information systems.
The Functional Design of a Project Management Information System: Case Study with South African Breweries Ltd

The goal of the report is to investigate and validate the functional design of a project management information system (PMIS). The goal of the case study is to measure and evaluate the current PMIS within South African Breweries Ltd against the essential information- and system requirements found to identify the information- and system gaps present.
A fast algorithm for the simulation of propagation in large-area 2-D photonic crystal devices

A fast numerical method for the simulation of propagation of light beams in large-area photonic crystal devices is presented. It is shown that if the propagation of a localized field is considered, a numerical code that does not require implementation of any boundary condition may be realized, with a computational complexity that scales almost linearly with the device length.
Development of a Bamlanivimab Infusion Process in the Emergency Department for Outpatient COVID-19 Patients

The coronavirus disease 2019 (COVID-19) pandemic has prompted the creation of new therapies to help fight against the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Bamlanivimab is a SARS-CoV-2 monoclonal antibody that is administered as an intravenous infusion to ambulatory patients with mild or moderate COVID-19, but a concern that arose was deciding the optimal location for patients to receive the medication. This report describes the development and implementation of a bamlanivimab infusion center in the emergency department of three hospitals in Orange County, California, shortly after bamlanivimab received emergency use authorization. As a result, a total of 601 patients received bamlanivimab in one of these three emergency departments between December 2020 to April 2021. The emergency department was shown to be an optimal setting for administration of bamlanivimab due to its convenience, accessibility, and capabilities for monitoring patients.
On Structural Parameter Optimization Method for Quad Tilt-Wing UAV Based on Indirect Size Estimation of Domain of Attraction

To deal with the flexibility in the electric aircraft design, this study develops a structural parameter optimization method. The quad tilt-wing aircraft exhibits rotary-wing flight and fixed-wing flight modes by tilting its wings. This study focuses on the domain of attraction, which is a class of state vectors that converge to a static equilibrium point after infinite time. The method indirectly estimates the size of domain of attraction of an aircraft by calculating the radius of a sphere that is encompassed by the domain. In addition, after investigating the relationship between change in structural parameters and the size of the domain of attraction, the structural parameters that maximize the size of the domain are surveyed. The effectiveness of the proposed method is demonstrated for the optimization of the quad tilt-wing aircraft. The quad tilt-wing aircraft exhibits rotary-wing flight and fixed-wing flight modes by tilting its wings. As the characteristics of the dynamics of the quad tilt-wing aircraft demonstrate a significant nonlinear change depending on the tilt angle of the wing, we propose a method to optimize the structural parameters for an easy control of the aircraft. Simulation results show that the optimization scheme identifies the parameters that enable the aircraft to perform agile control to address a disturbance moment. Further, although the same controller is used in the original and optimized aircraft, the optimized aircraft can handle a disturbance in a shorter time when compared with the original aircraft.
Diagnostic of phased arrays with faulty elements using the mutual coupling method

The ability to calibrate phased array antennas by utilising the mutual coupling method (MCM), which takes advantage of the mutual coupling effect between adjacent elements, is addressed. The basic assumption of the method is that the mutual coupling between adjacent elements is equal for all elements in the array and its major deficiency is its failure in the case of faulty elements. A parametric study to identify the effect of faulty elements in the array has been conducted. It has been shown that displacement of one element in the array may cause a significant error in the calibration, which affects its radiation characteristics (increase in the far side lobe level). The main contribution is the presentation of the effect of faulty elements in the calibration process and the proposal of a way to detect and bypass the faulty elements in a phased array calibrated by the MCM.
The Changes in Stress Coping, Alcohol Use, Cigarette Smoking and Physical Activity during COVID-19 Related Lockdown in Medical Students in Poland

The ongoing COVID-19 pandemic has significantly limited social contacts, thus contributing to deepening isolation. Therefore, SARS-CoV-2 exerted on humanity not only a physical impact but also a psychological one, often increasing the feeling of stress. The long-term effects of such a state could include the management of depression, so our study aimed to analyze groups of medical students in different periods of the pandemic (at the beginning of the pandemic, after half a year of the pandemic, after one year of the pandemic) in order to assess the impact of this situation on coping with stress. The impact of the pandemic on the development of stress factors such as alcohol consumption and smoking was also studied. The level of physical activity in the context of coping with an uncertain situation was also assessed. The impact of the above-mentioned factors on the behavior of students, including the Mini-COPE questionnaire, AUDIT test, the Fagerström test and the IPAQ questionnaire was analyzed. It has been shown that as the pandemic and the lockdown progressed, patients consumed more often or larger amounts of alcohol, smoked more cigarettes, and levels of physical activity decreased. All these factors may have had some impact on the deterioration of coping with stress among the respondents, which would indicate that the COVID-19 pandemic significantly contributed to an increase in the sense of stress among the students.
Characterizing speech rhythm using spectral coherence between jaw displacement and speech temporal envelope

Lower modulation rates in the temporal envelope (ENV) of the acoustic signal are believed to be the rhythmic backbone in speech, facilitating speech comprehension in terms of neuronal entrainments at δ- and θ-rates (these rates are comparable to the foot- and syllable-rates phonetically). The jaw plays the role of a carrier articulator regulating mouth opening in a quasi-cyclical way, which correspond to the low-frequency modulations as a physical consequence. This paper describes a method to examine the joint roles of jaw oscillation and ENV in realizing speech rhythm using spectral coherence. Relative powers in the frequency bands corresponding to the δ-and θ-oscillations in the coherence (respectively notated as %δ and %θ) were quantified as one possible way of revealing the amount of concomitant foot- and syllable-level rhythmicities carried by both acoustic and articulatory domains. Two English corpora (mngu0 and MOCHA-TIMIT) were used for the proof of concept. %δ and %θ were regressed on utterance duration for an initial analysis. Results showed that the degrees of foot- and syllable-sized rhythmicities are different and are contingent upon the utterance length.
Deoxynivalenol and Deepoxy-Deoxynivalenol- Induced Alterations in Theca Cell Function as a Major Cause of Infertility in Dairy Cows

Fertility in dairy cows has decreased worldwide over the last several decades [1]. Female reproductive function can be affected by numerous environmental factors, including toxins of plant or fungiassociated mycotoxins [2]. Mycotoxins are toxic metabolites produced by some mold species such as Fusarium, Aspergillus and Penicillium that can contaminate food at all stages of the feed chain [3]. Among mycotoxins, deoxynivalenol (DON) produced by Fusarium species, is commonly detected in cereal crops, including wheat, barley and maize and is the most abundant trichothecenes in animal food [4]. DON (vomitoxin) causes acute and chronic toxicity in different internal organs of humans and animals [5] and exerts its toxicity mainly through binding to the ribosome, inhibiting protein and nucleic acid synthesis that triggers ribotoxic stress response, activation of MAPKs and their downstream signaling pathways [6]. According to the studies on human and mice, bacteria are able to de-epoxidize or epimerize DON, to deepoxy-deoxynivalenol (DOM-1) or 3-epideoxynivalenol (3-epi-DON), respectively which are substantially less toxic than DON. They only form two hydrogen bonds and subsequently altered their interaction with the ribosome and do not Research Article
Impact of Capacity Building on Emotional Intelligence and Counterproductive Work Behaviors: Evidence from FATA Secretariat, Pakistan

This study aim the capacity building practices intrusion on emotional intelligence and counterproductive work behavior about the staff members of FATA Secretariat, Pakistan. The study incorporated questionnaires as a survey tool for data collection among the individual respondents on cross-sectional basis. Two statistical software’s namely SPSS and Liseral were utilized to analyze the collected data. Reliability and validity of the survey tool was checked through confirmatory factor analysis and found ideal. Structure equation modeling was integrated to tartan 3 devotee variables and was also found good. Result of the study depicts that there exists direct positive path among predictors and response variable. Suggestions and future research indications are also included in the study.
Improving transient stability of double fed induction generator using fuzzy controller

SUMMARY With increasing penetration of wind turbine in power systems and micro grids, it is inevitable to investigate effects of wind turbines on micro-grid performance. This paper investigates the impact of doubly fed induction generator (DFIG) on transient stability of the micro-grid. In the first step; simulation results show that the more penetration of DFIG in a micro-grid, the less critical clearing time (CCT). In the second step, in order to improve the transient stability of the DFIG, a Fuzzy controller is introduced and added to the conventional proportional and integral (PI) controller of rotor side of the DFIG, which increases the CCT. In proposed algorithm, the speed and acceleration of the rotor are used as the inputs of the fuzzy PI controller. Numerical simulations on a typical micro-grid shows the benefits of the proposed controller. Copyright © 2013 John Wiley & Sons, Ltd.
A Novel Deep Reinforcement Learning Based Relay Selection for Broadcasting in Vehicular Ad Hoc Networks

VANETs (Vehicular Ad hoc NETworks) are considered among the world’s largest networks. These networks are providing multiple services like infotainment applications, safety services, driver assistance, and even video on demand. On one hand, VANETs are characterized by their random topology and dynamic behavior that varies in urban context, and which highly changes in highways. On the other hand, diffusing information is a fundamental task to deliver multiple services. Thus, the broadcasting task is a challenging problem and need more investigation. In fact, to achieve this task, artificial intelligence and learning based computing seem to be one of the most appropriate options that best fits the dynamic behavior of VANETs. Accordingly, in this paper we propose a novel hybrid relay selection technique to perform the broadcasting task based on a reinforcement learning method. Our proposition is initially to combine an artificial neural network-based classification applied to select forwarding nodes, and in the second phase, we apply the Viterbi algorithm as a reinforcement tool to refine the first classification. To measure the performance of our contribution, we adopt a grid map scenario with varied traffic densities. Afterwards, we analyze and compare the simulation results with other methods in the literature based on different parameters such as the success rate, the data loss, the saved rebroadcasts, and the delay. We conclude by proving that the proposed technique combining deep learning along with reinforcement learning outperforms other recently proposed broadcasting schemes based on the results which show that the new solution increased the success rate by 16%, the saved rebroadcasts by 20%, and reduced the delay by 23%.
Rigorous diffraction analysis for future mask technology

Advanced lithographic techniques such as phase shift masks (PSM) and optical proximity correction (OPC) result in a more complex mask design and technology. With shrinking feature sizes, the topography of the mask becomes more and more important. We compare diffraction spectra, aerial images and resist profiles, which result for rigorous simulations were performed with a time-domain finite- difference algorithm. Consequences with respect to process linearity, mask error factor, printability of small assist features in OPC and phase defects in PSM will be discussed.
Using Grey System GM(1,1) Model to Predict the Drug-GPCRs Couples

It is an important topic to find and identify molecular drug targets for modern drug research. Naturally, to find new or potential drug-GPCRs couples is very useful for determining the new effective medicine target, because GPCRs are among the most frequent targets of therapeutic drugs and proven evolutionary pharmacology value. To realize this, this paper incorporates chemical functional groups of drugs and grey model GM(1,1) based on digital coding of amino acids to formulate the drug-GPCRs couples for statistical prediction. The overall success rate using the fuzzy K-Nearest Neighbor algorithm by the jackknife test is about 81%. This novel approach will further stimulate the development of scanning target via a computational approach.
Dependence Structure between Indian Financial Market and Energy Commodities: A Cross-quantilogram based Evidence

Given the developing nations are moving towards attaining the sustainable energy future, the reliance on renewable energy solutions is rising. Therefore, the dependence on traditional fossil fuel-based solutions is getting reduced, and this might have an impact on the energy market commodities. Analyzing this impact might divulge several insights regarding the portfolio decisions, in presence of the transformations in developmental trajectory. In this study, we analyze the cross-quantile dependence of the returns on the energy market commodities and the market returns for Indian financial market over July 31, 2008 to March 31, 2020. For this purpose, we adopt a novel three-stage methodology comprising Dynamic Conditional Correlation GARCH, Cross-quantilogram, and Wavelet Coherence-based models. We find that the market returns have negative effect on returns on the energy market commodities. This impact has been found to be asymmetric in nature. Moreover, the moderating impact of policy uncertainty has been analyzed has been analyzed through partial cross-quantilogram approach, and the outcome shows that the impact remains same under extreme market conditions. The findings have significant portfolio decisions in an energy transition context.
Determining the final spin of a binary black hole system including in-plane spins: Method and checks of accuracy

Nathan K. Johnson-McDaniel,1 Anuradha Gupta,2 P. Ajith,1 David Keitel,3 Ofek Birnholtz,4 Frank Ohme,5 and Sascha Husa3 International Centre for Theoretical Sciences, Tata Institute of Fundamental Research, Bengaluru 560089, India Inter-University Centre for Astronomy and Astrophysics, Pune 411007, India Universitat de les Illes Balears and Institut d’Estudis Espacials de Catalunya, 07122 Palma, Spain Albert-Einstein-Institut, Max-Planck-Institut für Gravitationsphysik, 30167 Hannover, Germany Cardiff University, Cardiff CF24 3AA, United Kingdom (Dated: August 6, 2016)
Comparison Between Chinese and American Elementary Education Through the Lens of Gender

In the era of knowledge economy, education determines the competition of a nation. The United States is famous for its quality education around the world. However, in modern times, new challenges have emerged, especially in K-12 education. Although China highly emphasizes on education, due to its limitation of history and development, there are still many problems that need to be solved. Through the comparison of Chinese and American elementary education, the educational strategy can be refined based on different cultural contexts. It is particularly important to stress on gender issues in elementary education in terms of sociological value. The intangible gender bias still exists in other forms. In other words, it is crucial to create a learning environment with gender equality as a response to current gender issues. This study is mainly carried out by reviewing literatures, and the paper is divided into five parts. With a brief introduction of elementary education and gender consideration, this study compares the Chinese and American elementary education system and gender impact. Then, two research results, as a quantitative data, are discussed in this paper, reflecting how gender stereotypes influence elementary education.
SAW based CO2 sensor: influence of functionalizing MOF crystal size on the sensor's selectivity

The potential impact of indoor air quality on human health has become an increasingly important topic of public health and, thus, has stimulated an interest in hazardous compounds survey such as carbon dioxide. To address this issue, we started the development of a Surface Acoustic Wave device functionalized with metal-organic framework for the selective detection of carbon dioxide. Here, we propose preliminary results on the influence of the size of the metal-organic framework crystals on the sensor’s selectivity and on its evolution with the ageing of the sensor. Keywords-Carbon dioxide sensor; SAW device; metalorganique framework.
DDDT_A_292805 1111..1133

Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/6dSVJvU4sGE Purpose: SARS-CoV-2 engages human ACE2 through its spike (S) protein receptor binding domain (RBD) to enter the host cell. Recent computational studies have reported that withanone and withaferin A, phytochemicals found in Withania somnifera, target viral main protease (M) and host transmembrane TMPRSS2, and glucose related protein 78 (GRP78), respectively, implicating their potential as viral entry inhibitors. Absence of specific treatment against SARS-CoV-2 infection has encouraged exploration of phytochemicals as potential antivirals. Aim: This study aimed at in silico exploration, along with in vitro and in vivo validation of antiviral efficacy of the phytochemical withanone. Methods: Through molecular docking, molecular dynamic (MD) simulation and electrostatic energy calculation the plausible biochemical interactions between withanone and the ACE2-RBD complex were investigated. These in silico observations were biochemically validated by ELISA-based assays. Withanone-enriched extract from W. somnifera was tested for its ability to ameliorate clinically relevant pathological features, modelled in humanized zebrafish through SARS-CoV-2 recombinant spike (S) protein induction. Results: Withanone bound efficiently at the interacting interface of the ACE2-RBD complex and destabilized it energetically. The electrostatic component of binding free energies of the complex was significantly decreased. The two intrachain salt bridge interactions (K31-E35) and the interchain long-range ion-pair (K31-E484), at the ACE2-RBD interface were completely abolished by withanone, in the 50 ns simulation. In vitro binding assay experimentally validated that withanone efficiently inhibited (IC50=0.33 ng/mL) the interaction between ACE2 and RBD, in a dose-dependent manner. A withanone-enriched extract, without any co-extracted withaferin A, was prepared from W. somnifera leaves. This enriched extract was found to be efficient in ameliorating human-like pathological responses induced in humanized zebrafish by SARS-CoV-2 recombinant spike (S) protein. Conclusion: In conclusion, this study provided experimental validation for computational insight into the potential of withanone as a potent inhibitor of SARS-CoV-2 coronavirus entry into the host cells.
Active Control of Thermally Induced Vibrations in Smart Structure Instrumented with Piezoelectric Materials

In this paper, a finite element model of piezolaminated composite shell structure is developed using nine-noded degenerated shell element. The stiffness, mass and thermo-electro-mechanical coupling effect is incorporated in finite element modeling using first order shear deformation theory and linear piezoelectric theory. The sensor voltage is calculated using the same formulation and fuzzy logic controller is used to calculate the actuator voltage. The fuzzy logic controller is designed as double input-single output (DISO) system using 49 If-Then rules. The performance of fuzzy logic controller is compared with convention constant-gain negative feedback controller. The simulation results illustrate the superiority of fuzzy logic controller over constant-gain negative feedback controller.