Miracle-dz/UniFAR-FTUs huggingface dataset:
Employee Resourcing Strategies and Performance of Brewery Companies in South-East, Nigeria

Objective: In Nigeria, the brewery industry has over time been confronted with a couple of challenges ranging from increased taxation to the burgeoning influence of technology on the online marketing of brewery products. Thus, the current research looked at employee resourcing (ER) strategies and the performance of brewery companies in South East, Nigeria. Methods: Four research questions were raised for the study while testing was done for four hypotheses at 0.05 level of significance. The study considered correlation research design for adoption. 3,222 employees of brewing companies in South-East, Nigeria constituted the population for the study. The sample size was 315 employees. Data collection was facilitated with the use of questionnaire. The instrument for data collection was validated by three experts in the Department of Business Administration, Nnamdi Azikiwe University, Awka. The reliability of the instrument was established using Cronbach alpha, which yielded 0.82 coefficient. Analysis of data was done using Pearson product moment correlation coefficient for research questions and Pearson Correlation Critical value table for testing hypotheses. Results: The revelation of findings of the study was that a high positive relationship existed between ER and performance of brewery companies. Conclusion: The conclusion of the study was that a significant relationship existed between ER (employee recruitment, selection, placement and career development) and performance of brewery companies. One of the recommendations of the study was that the organization of seminars and workshops should be carried out by employers for the employees to ensure that their career is considerably developed for optimum performance in brewery companies.
Clustering Ant Colony-Based Edge-Server Location Strategy in Mobile Crowdsensing

Recently, edge-based mobile crowdsensing has become an important sensing technology that takes advantage of mobile devices to collect information about surroundings based on using a group of mobile edge servers that are deployed at the network edge as a link between users and the central server for data filtering and aggregation. Each user may collect multiple data types in mobile collective sensing. For facilitating data aggregation, the same data type carried by various users is assumed to be uploaded to the same mobile edge server. The main problem is determining the server which should be activated to process each data type for reducing the overall cost. In this paper, the problem is formulated as one form of the unqualified multicommodity facility location problem. To solve this problem, two edge-server location strategies are proposed, which use a clustering method for dividing the set of mobile users with data items into clusters and use the ant colony approach to select a mobile edge server for each data type in each cluster. Extensive simulations are conducted based on widely used real data sets. The simulation results show that the proposed strategy achieves better performance than the existing methods in terms of service and facility costs.
Minimal mass solutions to inverse eigenvalue problems

One of the fundamental inverse problems in vibration theory is to construct an in-line system of masses and springs, fixed at one end, free at the other, so that it has a specified spectrum of natural frequencies. The solution, based on the work pioneered by Gantmacher and Krein, makes use of a second spectrum, that for the system fixed at both ends. We derive a closed form procedure to construct the system with a minimal mass for given overall stiffness from the first specified spectrum. The analogous problem of constructing a discrete model of a cantilever beam in flexural vibration having a specified spectrum uses two additional spectra corresponding to the previously free end being respectively pinned and sliding. We formulate the problem of finding a minimal mass solution for the given length and stiffness, and obtain explicit solutions in simple cases.
Rhythmic Patterns Reflecting Cognitive Constraints and Aesthetic Ideals

Abstract This paper focuses on basic rhythmic patterns in terms of their contribution to the characterization of various styles that reflect different aesthetic ideals, and thereby to link the fields of cognition and musicology. The aesthetic ideal is realized in various ways; the one examined here concerns the degree of definability (in comparative rather than precise quantitative terms) of the rhythmic organization, which may be manifested on various levels of musical organization. To this end, we examined three issues. (1) We compared some of the principles that govern the rhythmic “raw material” of classical Western and Arab music and poetry. (2) We conducted an experiment on perception and identification of three types of basic rhythmic patterns in Western tonal music. The experimental patterns were based on the bare minimum required for the perception of rhythm (the ratio between only two durations), but took into account the other parameters (intensity and pitch) that may be involved in the degree of definability of identification of the patterns. The findings of the experiment revealed hierarchies between the patterns and between the parameters, as well as the conditions for their degree of definability and their contributions to the characterization of style. (3) In light of all this, we examined a number of musical examples from diverse Western styles that illustrate the various appearances of the rhythmic patterns examined. For purposes of comparison, we also present examples from Arab musical literature.
Gauss Decomposition with Prescribed Semisimple Part in Quadratic Groups

Quadratic groups, whose definitions depend on form parameters, contain the orthogonal groups, symplectic groups, classical unitary groups and all the classical groups of Dieudonné [4] as well as those of Bruhat and Tits [2]. Gauss decomposition with prescribed semisimple part in these groups is presented. As an application, the analog of a conjecture of Thompson is also studied for these groups.
Tuning energy splitting and recombination dynamics of dark and bright excitons in CdSe/CdS dot-in-rod colloidal nanostructures

We report on a time-resolved study of the photoluminescence of core/shell CdSe/CdS dot-in-rod colloidal nanocrystals having various geometries. By studying the exciton recombination dynamics, we unveil a quadratic dependence of the bright–dark exciton energy splitting and the dark exciton radiative recombination rate on the inverse CdS rod width, regardless of the CdSe core size. We also evidence a strong dependence of the spin-flip rate between bright and dark exciton states on the shell thickness that suggests an acoustic phonon bottleneck. This work highlights the possibility to fully control and tune the optical properties of colloidal nanocrystals by shape engineering of the CdS shell.
High-Frequency Rheological and Piezo-Voltage Waveform Characterization of Inkjet-Printed Polymer-Based Dopant-Source Inks

This work focuses on developing an understanding of the rheological properties of polymer-based dopant-source inks at the timescales relevant to inkjet printing and their corresponding roles in determining the production of defect-free droplets. Ink-specific optimization of printing processes for phosphorus and boron dopant-source inks with different compositions is demonstrated. Rheological flow curves measured by a piezo axial vibrator (PAV) were used to study the changes in complex viscosity (η*) and in the elastic (G′) and viscous (G″) components of the shear modulus (G*) with respect to changes in frequency (from fmin = 1 kHz to fmax = 10 kHz) to obtain an insight into the high-frequency behaviour of inks, as well as the effects of temperature (25 °C and 45 °C) and the natural aging time of the inks. Inks demonstrating complex viscosity η*min ≥ 2 mPas to η*max ≤ 20 mPas and an elastic modulus G′ ≤ 20 Pa, produced droplets with negligible defects. Of the three rheological parameters (η*, G′ and G″), the elastic component (G′) of the shear modulus was observed to have the greatest significance in determining the stability and homogeneity of ink droplets, thus dictating the quality of the printed structures. The reliability and stability of droplet formation were further investigated through voltage waveform simulation using an oscilloscope.
How Is Working Memory Related to Reading Comprehension in Italian Monolingual and Bilingual Children?

This study explored how working memory resources contributed to reading comprehension using tasks that focused on maintenance of verbal information in the phonological store, the interaction between the central executive and the phonological store (WMI), and the storage of bound semantic content in the episodic buffer (immediate narrative memory). We analysed how performance in these tasks was related to text decoding (reading speed and accuracy), listening and reading comprehension. The participants were 62 monolingual and 36 bilingual children (mean age nine years, SD = 9 months) enrolled in the same Italian primary school. Bilingual children were born to immigrant parents and had a long history of exposure to Italian as a second language. The regression analyses showed that reading accuracy and listening comprehension were associated with reading comprehension for monolingual and bilingual children. Two working memory components—WMI and immediate narrative memory—exhibited indirect effects on reading comprehension through reading accuracy and listening comprehension, respectively. Such effects occurred only for monolingual children. We discuss the implications of such findings for text reading and comprehension in monolinguals and bilinguals.
Self-compensation of intrinsic defects in the ternary semiconductor CuGaSe 2

Temperature-dependent Hall measurements have been performed on thin films of the ternary chalcopyrite ${\mathrm{CuGaSe}}_{2}. $ Unintentionally doped samples and Na-containing samples are compared, as well as epitaxial and polycrystalline ones. Acceptor activation energies and acceptor and donor densities are extracted. Activation energies as well as defect densities vary over a wide range. We demonstrate that all samples are dominated by the same defect with an activation energy of 150 meV in the infinite-dilution limit. It is shown that the degree of compensation increases with increasing acceptor density. Thus direct evidence of self-compensation by intrinsic defects is given. ${\mathrm{CuGaSe}}_{2}$ containing Na shows the same defects as ${\mathrm{CuGaSe}}_{2}$ without Na: thus, it can be excluded that the dominant effect of Na is the introduction of a new acceptor. In addition, reduced compensation due to Na is not found; the net doping increases in spite of an increased compensation.
Partial envelopes for efficient estimation in multivariate linear regression

We introduce the partial envelope model, which leads to a parsimonious method for multivariate linear regression when some of the predictors are of special interest. It has the potential to achieve massive efficiency gains compared with the standard model in the estimation of the coefficients for the selected predictors. The partial envelope model is a variation on the envelope model proposed by Cook et al. (2010) but, as it focuses on part of the predictors, it has looser restrictions and can further improve the efficiency. We develop maximum likelihood estimation for the partial envelope model and discuss applications of the bootstrap. An example is provided to illustrate some of its operating characteristics. Copyright 2011, Oxford University Press.
Quality of underwater source localization in a multipath environment

This paper investigates the accuracy of a passive underwater localization system using two submerged omnidirectional sensors in a multipath environment. Expressions for the variance and bias of localization error are developed for two sources of error: ocean noise and sensor perturbations. Expressions are also given for the variance of time delays obtained from the cross correlation of the two sensor signals. It is shown that the variance of localization error is very sensitive to vertical sensor perturbations. It is also shown that in the region where the time difference of arrival (TDOA) of the surface reflected paths is approximately equal to the TDOA of the direct paths, the localization error is very large.
Increasing occupational participation: A qualitative analysis within the “Occupational Self-Analysis” program

Introduction: Occupational participation is a key element to increase the quality of life in the population. One of the effective interventions to increase occupational participation is the “Occupational Self-Analysis” program. The aim of this study was to analyze participant’s reported benefits about the “Occupational Self-Analysis” program. Method: This is a qualitative study with 26 participants (12 people with intellectual disability, 7 affected by acquired brain injury, and 7 students) who participated in weekly group sessions and one individual session. The outcomes were measured based on participant diaries and focus group transcriptions. Results: Two main themes emerged: (1) supports for occupational participation and (2) barriers for occupational participation. The thematic analysis of the categories was based on the Model of Human Occupation to increase applicability of the program in occupational therapy practice. Conclusions: The “Occupational Self-Analysis” program allowed participants to increase their knowledge of supports provided for and the barriers against occupational participation.
Hurricane Katrina (2005). Part II: Evolution and Hemispheric Impacts of a Diabatically Generated Warm Pool

Abstract The landfall of Hurricane Katrina (2005) near New Orleans, Louisiana, on 29 August 2005 will be remembered as one of the worst natural disasters in the history of the United States. By comparison, the extratropical transition (ET) of the system as it accelerates poleward over the following days is innocuous and the system weakens until its eventual demise off the coast of Greenland. The extent of Katrina’s perturbation of the midlatitude flow would appear to be limited given the lack of reintensification or downstream development during ET. However, the slow progression of a strong upper-tropospheric warm pool across the North Atlantic Ocean in the week following Katrina’s landfall prompts the question of whether even a nonreintensifying ET event can lead to significant modification of the midlatitude flow. Analysis of Hurricane Katrina’s outflow layer after landfall suggests that it does not itself make up the long-lived midlatitude warm pool. However, the interaction between Katrina’s anticyclo.
#JoeandtheHoe: Exploring Gender and Racial Stereotypes Used to Discredit Kamala Harris in the 2020 Presidential Election

Abstract Social media has increasingly become the source of political information and discussion during campaigns, as well as a platform where stereotypical frames and disinformation are spread about candidates. This study explores the gender and racial stereotypes used to negatively frame Kamala Harris on Twitter. Results show that gender frames previously used against other female candidates were present (inauthentic, ambitious), as well as racial frames leveled against Barack Obama (violent, dangerous, not Black enough). Additionally, Harris was subjected to oppressive stereotypes and controlling images related to her intersectionality as a Black woman (tough, angry, sexually promiscuous, and loser).
Previous interaction with phytopathogenic bacteria alters the response of Arabidopsis against Tetranychus urticae herbivory

ABSTRACT Plant response to individual biotic stresses depends on its physiological state when the challenge is perceived. Optimal conditions for infestation of the spider mite Tetranychus urticae are associated with high temperatures and scarce precipitation. Here, we analyze the impact of previous interactions with the hemibiotrophic bacteria Pseudomonas syringae pv. tomato DC3000 or the necrotroph Dickeya dadantii 3937 on Arabidopsis thaliana plants under mite optimal conditions. Our results showed that both bacterial strains inoculated at adverse low humidity conditions induced the expression of JA-related genes in the plant even when disease symptoms are not observed. This effect was more evident when heat-inactivated bacteria were used, but a significant reduction in mite leaf damage was only detected when plants were previously inoculated with the heat-inactivated hemibiotroph bacteria. These results indicate that bacterial interaction compromises the plant response to subsequent herbivore stress, even under suboptimal conditions for bacterial multiplication.
An orbital determination of Triton with the use of a revised pole model

In this paper, we used the 3108 Earth-based astrometric observations from the Natural Satellite Data Center over more than 30 yr time span from 1975 to 2006 for determining the epoch state vectors of the Neptunian largest satellite Triton. These observations almost contain all modern photo and CCD observations available. In integrating perturbation equation, the barycentric frame of Neptune-Triton system is adopted, and in considering the oblateness perturbation due to Neptune, a revised pole model describing the precession of the Neptune's pole is used in our calculation.
Design of Digital Low Pass FIR Filter Using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm

In this study, digital low-pass FIR filter is designed using Hybrid Particle Swarm – Grey Wolf Optimization Algorithm (HPSGWO). The purpose of digital FIR filter design with HPSGWO is to optimized filter coefficients that are closest to the characteristics of the ideal filter. The obtained results are compared with PSO, and GWO which were previously used for FIR filters design in the literature. According to the obtained results, HPSGWO has better filter response and less stop band ripple than other methods.
Leading factors for blockchain technology implementation in the business organisations in the Bulgarian context

Blockchain technology is recognised as a digital tool that contributes to increasing the competitiveness of a business organisation, and it is most often applied in the financial sector and supply chains. The technology is widely used in developed countries, but it is also gradually entering developing economies. Attention to technology is provoked under the influence of factors determining innovation development and penetration into the entrepreneurial ecosystem. Some of them are psychological, the others are economical, but in general, they influence the management decision-making to use the technology in the enterprises. The primary purpose of the research is to reveal and group the factors provoking the implementation of blockchain technology in Bulgarian companies. In order to collect the necessary data, an empirical study of the Bulgarian entrepreneurial ecosystem was conducted using a survey method. A factor analysis of the two groups of reasons motivating and limiting the application of blockchain technology was performed with a view to uncovering the hidden factors influencing its implementation in organisations. A regression analysis was then performed to answer the question of which factors most affect the interest in implementing BCT in the business organisation to increase their competitiveness in the supply chain. The research data can be used as a working framework for implementing decentralised software applications in companies that are not informed about the pros and cons of blockchain technology but are looking for a position in the global digitised world
Lateral characteristic analysis of PMLSM considering overhang effect by 3 dimensional equivalent magnetic circuit network method

This paper represents the lateral characteristics of a permanent magnet linear synchronous motor (PMLSM) according to changes of overhang length. In order to analyze the overhang effect of a PMLSM with large airgap and finite width considering lateral displacement, a new 3-dimensional equivalent magnetic circuit network method (3-D EMCN) taking into account movement of the secondary in the lateral direction is introduced, which supplements the magnetic equivalent circuit by using a numerical technique. The 3-D EMCN can consider secondary movement without remeshing the elements because it uses the initial mesh continuously. The authors analyzed the characteristics for three overhang-type cases which must be problems in 3-D. The results are compared with experimental data and show reasonable agreement.
A deep survey for Galactic Wolf-Rayet stars. I - Motivation, search technique, and first results

Results are presented from a survey of large areas of the southern Milky Way for Wolf-Rayet (WR) stars to 17-18th magnitude, carried out using direct narrowband and broadband Schmidt plates. Thirteen new WR stars were detected in an about 40-deg-sq region in Carina, where 24 WR stars were already known; the new stars were found to be significantly redder, fainter, and farther away than the known stars. Of the new WR stars, 11 are of subtype WN, and two are WC, compared to the 17 WN and seven WC stars among the previously known WR stars in the same area. 18 refs.
Interpreting Effect Sizes in Contrast Analysis

Sensitivity and specificity summarize the performance of a diagnostic test with a positive/negative outcome determined by a gold standard. When the test is quantitative, receiver operating characteristic (ROC) curves are used to display the performance of all possible cutpoints of the quantitative diagnostic marker. The ROC curve offers a graphical interpretation of the trade-off between sensitivity and specificity of the range of possible cutpoints. Various methods are used to estimate the ROC curve including empirical, parametric, semiparametric, and regression methods. Similarly, various software packages provide ROC curve estimation. Regression methods based on using generalized linear models are discussed as well as their implementation with the SAS procedures PROC LOGISTIC and PROC GENMOD. Recent attention has been given to determining the optimal decision rule, also called the optimal operating point (OOP). Similar to the ROC curve, the OOP provides a graphical interpretation for decision making. T.
Waveform Design and DoA-DoD Estimation of OFDM-LFM Signal Based on SDFnT for MIMO Radar

In comparison to orthogonal frequency division multiplexing (OFDM), the OFDM linear frequency modulation (OFDM-LFM) signal has similar time-bandwidth product, lower peak-to-average power ratio, and higher sensitivity to Doppler frequency shift, making it a promising candidate waveform for multiple-in multiple-out (MIMO) radar applications. However, the OFDM-LFM signal is unsatisfactory in practical applications due to the challenges in waveform design and its non-stationary property, which significantly degrades the performance of current high-resolution subspace techniques for direction of departure (DoD) and direction of arrival (DoA) angle estimation. In this paper, we first proposed a novel OFDM-LFM waveform design method based on the scale discrete Fresnel transform (SDFnT), which efficiently generates orthogonal LFM signals with unlimited number of subcarriers and can be convieniently implemented using the fast Fourier transform (FFT). Then, for angle estimation in OFDM-LFM MIMO radars, we presented a new scale discrete Fresnel transform multiple signal classification (SDFnT-MUSIC) method. By converting the steering vector into the chirp domain and making it non-time-vary, high resolution angle estimation for OFDM-LFM wideband signals can be achieved. Simulation results shows that the proposed waveform design method requires less computational time than conventional method based based on the fractional Fourier transform (FrFT), whereas the proposed DoA-DoD estimation method outperform the FrFT-MUSIC method in terms of computational complexity and target angle estimate performance.