Miracle-dz/UniFAR-FTUs huggingface dataset:
The African Journal of Information Systems The African

Digital organizations have become highly dependent on digital platforms and customer needs as key resources for digital service innovation. These resources in the competitive environment are making and shaping innovation of digital services because, though external, they remain central to digital organizations’ strategic innovation and competitiveness. Yet, how and why organizing these resources influences digital service innovation is under-explained in the literature. This paper, based on an empirical study and grounded theory methodology, addresses this limitation. It explains that digital service innovation occurs through two complementary types of organizing, namely: foundational knowledge organizing by combining digital platforms and customer needs, leading to compound and technical knowledge; and applied knowledge organizing by creating applications, surpassing customer needs, improvising new solutions, and relating with customers, leading to original, transcendent, rapid, and renewed knowledge. The theoretical contributions of this explanation are discussed along with its practical and future research implications.
A framework for advanced methods of control of human-induced vibrations

The vibration serviceability of civil engineering structures under human dynamic excitation is becoming ever more critical with the design and redevelopment of structures with reduced mass, stiffness and damping. A large number of problems have been reported in floors, footbridges, sports stadia, staircases and other structures. Unfortunately, the range of options available to fix such problems are very limited and are primarily limited to structural modification or the implementation of passive vibration control measures, such as tuned mass dampers. This paper presents the initial development of a new framework for advanced methods of control of humaninduced vibrations in civil engineering structures. This framework includes both existing passive methods of vibration control and more advanced active, semi-active and hybrid control techniques, which may be further developed as practical solutions for these problems. Through the use of this framework, rational decisions as to the most appropriate technologies for particular human vibration problems may be made and pursued further. This framework is also intended to be used in the design of new civil engineering structures, where advanced control technologies may be used both to increase the achievable slenderness and to reduce the amount of construction materials used and hence their embodied energy. This will be an ever more important consideration with the current drive for structures with reduced environmental impact.
The number counts and infrared backgrounds from infrared-bright galaxies

Extragalactic number counts and diffuse backgrounds at 25, 60, and 100 microns are predicted using new luminosity functions and improved spectral-energy distribution density functions derived from IRAS observations of nearby galaxies. Galaxies at redshifts z less than 3 that are like those in the local universe should produce a minimum diffuse background of 0.0085, 0.038, and 0.13 MJy/sr at 25, 60, and 100 microns, respectively. Models with significant luminosity evolution predict backgrounds about a factor of 4 greater than this minimum. 22 refs.
Herbicolin A production and its modulation by quorum sensing in a Pantoea agglomerans rhizobacterium bioactive against a broad spectrum of plant‐pathogenic fungi

Global population growth makes it necessary to increase agricultural production yields. However, climate change impacts and diseases caused by plant pathogens are challenging modern agriculture. Therefore, it is necessary to look for alternatives to the excessive use of chemical fertilizers and pesticides. The plant microbiota plays an essential role in plant nutrition and health, and offers enormous potential to meet future challenges of agriculture. In this context, here we characterized the antifungal properties of the rhizosphere bacterium Pantoea agglomerans 9Rz4, which is active against a broad spectrum of plant pathogenic fungi. Chemical analyses revealed that strain 9Rz4 produces the antifungal herbicolin A and its biosynthetic gene cluster was identified and characterized. We found that the only acyl‐homoserine lactone‐based quorum sensing system of 9Rz4 modulates herbicolin A gene cluster expression. No role of plasmid carriage in the production of herbicolin A was observed. Plant assays revealed that herbicolin A biosynthesis does not affect the root colonization ability of P. agglomerans 9Rz4. Current legislative restrictions are aimed at reducing the use of chemical pesticides in agriculture, and the results derived from this study may lay the foundations for the development of novel biopesticides from rhizosphere microorganisms.
Improving Student Adjustment in Learning in the New Normal Era through Group Guidance Using a Behavioristic Approach with Modeling Techniques

This study aims to: (1) analyze the differences in students' self-adjustment in learning the experimental group before and after attending the group guidance service using a behavioristic approach with modeling techniques, (2) analyzing the differences in student adjustment in learning the control group before and after attending the group guidance service. without special treatment, (3) analyzing the difference between students' adjustment in learning the experimental group and the control group after participating in group guidance services using a behavioristic approach with modeling techniques compared to the control group following group guidance without special treatment. The research method used is quantitative research. This type of research is Quasi Experiment Design. The population in this study was 218 students, using the Slovin formula to 141 students, then from the results of the overall data taken 22 students who were divided into 11 students for the experimental group and 11 students for the control group. Sampling used Simple Random Sampling. The research instrument used a Likert Scale model, the data were analyzed using the Wilcoxon Signed Ranks Test and the Kolmogorov-Smirnov with the help of SPSS version 20.00. The results showed that (1) there were differences in students' self-adjustment in learning the experimental group before and after taking group guidance using a behavioristic approach with modeling techniques, (2) there were differences in student adjustment in learning the control group before and after taking group guidance without special treatment. , (3) there are differences in student adjustment in learning the experimental group who followed group guidance using a behavioristic approach with modeling techniques compared to the control group who was given group guidance without special treatment.
A Corpus-based Grammatical Investigation towards a Computational Identification of Metaphor

The present study is a corpus-based grammatical investigation for the computational identification of metaphors. The aim of the study is to set a grammatical criterion for the computational identification of metaphors in the Holy Qur’ān and propose a computer software input rule for the grammatical identification of metaphorical candidates. The work presented in this study draws on the cognitive theory of metaphor (Lakoff and Johnson, 1980), authentic exegeses of the Holy Qur’ān, and finally and most significantly it draws on and extends techniques from computational linguistics. The corpus of the study is one surah from the Holy Qur’ān, Sūrat Hūd. A methodology for the investigation of candidate metaphor grammatical structure was developed to deduce the grammatical markers of metaphor and utilize them in the computational identification of metaphors. A quantitative and qualitative interpretation of these results and how they can contribute to the computer software suggested for a computer identification of metaphor in the Holy Qur’ān is made. The study ended with a theoretical framework that was applied to the corpus to find metaphors by findings specific grammatical markers.
Cascaded Raman generation of the N’th Stokes in single mode-fibers

Abstract. The evolution of Stokes generation up to the n’th stage and the analytical solutions of commonly used Raman equations including numerical simulation and experimental results is reported. For the experimental work, a 1-km un-doped single-mode fiber was pumped with an ytterbium-doped fiber laser system (FL) in CW regime at 1064 nm in a free running configuration. We showed that it is possible to obtain up to the N’th power thresholds and maximum power for each Stokes by using compact analytical solutions as a first approximation in an arguably simple, quick process.
Elastic-plastic indentation creep of glassy poly(methyl methacrylate) and polystyrene: characterization using uniaxial compression and indentation tests

This paper discusses the time-dependent mechanical response of poly(methyl methacrylate) (PMMA) and polystyrene (PS) subjected to a shallow indentation made by a 750 µm radius steel ball at 25 °C. The penetration depth was measured as a time-response to a prescribed loading history of the indenter. The tests were performed in the intermediate elastic-plastic regime, which is of paramount importance when dealing with the mechanics of a multicontact interface between rough bodies. The creep characteristics under constant load were analysed with an Eyring law relating the average stress and the strain rate in the deformed volume. The results were compared to data obtained by a standard uniaxial compression test on the bulk material. We have deduced a simple empirical rule which accounts for the heterogeneous stress and strain fields under the indenter and reduces the intricate problem of elastic-plastic indentation creep to an effective scalar rule.
Proton trapping in DCX-1 resulting from Lorentz dissociation of H2+

The object of this communication is to present what we believe to be the first experimental evidence of the trapping of protons resulting from the Lorentz dissociation of energetic H2 . Calculations [1—3] have shown that substantial fractions of H2 + can be dissociated by strong electric fields or equivalently by the Lorentz force experienced by the ions in a magnetic field if the upper vibrational levels of the molecular ion are well populated. Experiments [4—7] in general confirm these calculations but disagree on the magnitude of the dissociation fraction for specific values of the electric field. Since the populations of the upper levels are presumably influenced by the manner in which the molecular ions are produced, it appears that a substantial portion of this disagreement is due to the use of different ion sources in the several experiments. The purposes of the experiments in DCX-1 were two-fold: (1) to investigate various means of ion production in order to optimize the population of the excited states of interest and (2) to determine whether trapping of protons from Lorentz dissociation would be an effective mechanism for building up plasma densities in a controlled thermonuclear experiment. The results of these experiments are given in the remainder of this communication.
Precise determination of the cholesteric pitch of a chiral liquid crystal in a circularly aligned configuration

We propose a novel method of measuring the cholesteric pitch of a liquid crystal (LC) in a circularly aligned configuration. The LC cell is made with one homogeneously rubbed surface and one circularly rubbed surface so that it produces a disclination line passing through the singularity created by the circular rubbing. This disclination line is associated with two domains with different twist orientations. In such a geometry, the relationship between the angular deviation of the disclination line and the cholesteric pitch is analytically derived. The concept of a homogeneous-circular configuration is adopted to accurately measure the cholesteric pitch of LC in a broad range from 0.5 to 500 μm.
The Contribution of Entrepreneurial Knowledge and Self-Confidence to Youth Entrepreneurial Interests at the Orphanage and Its Implications Counseling Services

One of the roles of orphanage institutions is to foster an interest in entrepreneurship in adolescents in orphanages, so that orphanage children can become independent entrepreneurs after graduating from the orphanage. The knowledge possessed by individuals determines entrepreneurial interest. In addition, the interest in entrepreneurship is also determined by self-confidence. This research aims to (1) describe the contribution of entrepreneurial knowledge, self-confidence and the interest in entrepreneurship in orphanage youth, (2) examine the contribution of entrepreneurial knowledge to the interest in entrepreneurship in orphanage youth, (3) examine the contribution of self-confidence to the interest in entrepreneurship in orphanage youth, and (4) analyze entrepreneurial knowledge and self-confidence together on the interest in entrepreneurship for orphanage youth. This research uses a quantitative approach with a descriptive correlational method. The population of this study were all adolescents from the Budi Luhur Orphanage with an age range of 15 to 18 years, totalling 86 people, using a total sampling technique. This research instrument uses a Likert scale model about the contribution of entrepreneurial knowledge, self-confidence conformity and entrepreneurial interest in orphanage youth. Data were analyzed using descriptive statistical techniques, then simple linear and multiple linear regression analyses. The research findings show that, in general, the entrepreneurial knowledge of the Orphanage youth is in the high category, the self-confidence of the Orphanage youth is in the high category, and the interest in entrepreneurship of the Budi Luhur Orphanage youth is in the very high category. There is a solid and positive relationship between entrepreneurial knowledge and self-confidence with interest in youth entrepreneurship at the Budi Luhur Takengon Orphanage. This research has implications as the level of interest in entrepreneurship is influenced by entrepreneurial knowledge and self-confidence, both of which represent external and internal factors.
Implementing Large-Eddy Simulation Capability in a Compressible Mesoscale Model

AbstractThe large size of modern wind turbines and wind farms triggers processes above the surface layer, which extend to the junction between microscales and mesoscales, and pushes the limits of existing approaches to predict the wind. The main objectives of this study are thus to introduce and evaluate an approach that will better account for physical processes within the atmospheric boundary layer (ABL), and allow for both microscale and mesoscale modeling. The proposed method, in which mathematical model and main numerical aspects are presented, combines a mesoscale approach with a large-eddy simulation (LES) model based on the Compressible Community Mesoscale Model (MC2). It is evaluated relying on a shear-driven ABL case allowing the authors to assess the model behavior at very high resolution as well as more specific numerical aspects such as the vertical discretization and time and space splitting of turbulence-related terms. The proposed LES-capable mesoscale model is shown to perform on par with.
Surface Enhanced Raman Scattering by Metal Spheres. I. Cluster Effect

An electromagnetic theory for the light absorption by a cluster of metal spheres and the Raman scattering by a molecule adsorbed on it is presented, which takes into account the retardation effect exactly and is applicable to an arbitrary cluster size. The theory is applied to a two-sphere cluster of Ag and Au. It is shown that the absorption spectrum is doubly peaked and the maximum enhancement factor of the Raman intensity amounts to 10 7 ∼10 8 when the distance between spheres is decreased. Absorption spectra of three- and four-sphere clusters are also calculated, which indicate that the essential features of the experimental observations are explained by the two-sphere cluster.
Selective manipulation of microparticles using polymer-based optically induced dielectrophoretic devices

This manuscript presents an approach for selective manipulation of microparticles using polymer-based optically induced dielectrophoretic (ODEP) devices. A thin film of a bulk-heterojunction polymer [a mixture of regioregular poly(3-hexylthiophene) (P3HT) and [6,6]-phenyl C61-butyric acid methyl ester (PCBM)] is used as a light active layer. The ODEP force is generated by “virtual” electrodes (the optical images) created from a computer-programmable projector to manipulate polystyrene particles. The magnitude of the ODEP force is found to be dependant on the color of illumination light, due to the variation of the absorption coefficient in the P3HT:PCBM film. A noncontact approach is then demonstrated to separate or collect the polymer particles by shrinking one of the two light rings with different colors and diameters. The development of this promising platform may provide a cost-effective approach for ODEP applications.
A generalized Q–Q plot for longitudinal data

Most biomedical research is carried out using longitudinal studies. The method of generalized estimating equations (GEEs) introduced by Liang and Zeger [Longitudinal data analysis using generalized linear models, Biometrika 73 (1986), pp. 13–22] and Zeger and Liang [Longitudinal data analysis for discrete and continuous outcomes, Biometrics 42 (1986), pp. 121–130] has become a standard method for analyzing non-normal longitudinal data. Since then, a large variety of GEEs have been proposed. However, the model diagnostic problem has not been explored intensively. Oh et al. [Modeldiagnostic plots for repeated measures data using the generalized estimating equations approach, Comput. Statist. Data Anal. 53 (2008), pp. 222–232] proposed residual plots based on the quantile–quantile (Q–Q) plots of the χ2-distribution for repeated-measures data using the GEE methodology. They considered the Pearson, Anscombe and deviance residuals. In this work, we propose to extend this graphical diagnostic using a generalized residual. A simulation study is presented as well as two examples illustrating the proposed generalized Q–Q plots.
Improved Fourier descriptors in model-based pose estimation

We use Fourier descriptors (FD's) to represent shape in model-based pose estimation. Specific invariance and normalization requirements for shape descriptors concerning to pose estimation are proposed. FD's are improved to meet such requirements. Common issues and techniques for such application are focused on. Starting point of the shape contour is fixed to the upper left corner point. Distance pairs instead of edge coordinate pairs recast the shape sequence. Moving average filtering is proceeded to remove the noises of the shape sequence. Shape sequence is re-sampled to make it definite length. FD's amplitude is normalized to the range of 0 to 1. Variance of sequences between observed and library FD's is defined as the shape matching objective function. For simulation, we use a missile model of Milkshape3d format. Results show that by adopting the improved FD's, we can arrive at a pose estimation practically by randomly optimal search of library FD's.
Neural Network Model to Predict a Storm Surge

Abstract The southeastern coast of Brazil is frequently affected by meteorological disturbances such as cold fronts, which are sometimes associated with intense extratropical cyclones. These disturbances cause oscillations on the sea surface, generating low-frequency motions. The relationship of these meteorologically driven forces in low frequency to the storm-surge event is investigated in this work. A method to predict coastal sea level variations related to meteorological events that use a neural network model (NNM) is presented here. Pressure and wind values from NCEP–NCAR reanalysis data and tide gauge time series from the Cananeia reference station in Sao Paulo State, Brazil, were used to analyze the relationship between these variables and to use them as input to the model. Meteorological influences in the sea level fluctuations can be verified by filtering the astronomical tide frequencies for periods lower than tidal cycles (periods higher than 24 h). Thus, a low-pass filter was applied in the t.
Improved “exhaustive search” attacks on stream ciphers

Given a certain amount of known keystream from a keystream generator (KG), the most obvious way to determine the state of the generator is to search through all possible states, checking for a match between the resulting and observed keystream. In this paper, we draw attention to two attacks on stream cipher systems which, although their complexity grows exponentially with the size of the KG state, are more efficient than a simple-minded search through all possible KG states. Indeed, given sufficient storage and sufficient known keystream, each attack can almost halve the effective entropy of the state to be searched.
Clinical Case Reports International

Objective: Tuberculosis (TB) is among the widespread and rapidly growing infections in the world. Furthermore, TB is one of the major public health problems in Pakistan as every year 48,000 Pakistani dies due to this infection. Pakistan ranks fifth among high burden countries worldwide. The convergence of Tuberculosis (TB), Human Immunodeficiency Virus (HIV), COVID-19, and Multi-Drug Resistance (MDR) strains of Mycobacterium tuberculosis ( M. tb ) has created an unprecedented and threatening global scenario. The objective of this study was to elucidate the genetic mechanism underlying drug resistance in local TB isolates. Methodology: PCR Amplification: The hotspot region of the KatG gene, responsible for Isoniazid (INH) resistance which encodes catalase peroxidase, is amplified using PCR. The amplified DNA is subjected to RFLP, where specific restriction enzymes were used to cleave the DNA at known restriction sites. The amplified DNA is further analyzed through Sanger sequencing, which determines the precise nucleotide sequence of the region. Results : PCR-RFLP revealed forty-five out of eighty INH resistant M. tb strains had mutations in KatG (codon 315) which is 56.2% of all cases. Sequencing results revealed that this is substitution mutation; AGC to ACC (Ser315Thr). Conclusion: It may be concluded that majority of INH resistance is due to the mutation in the codon 315 of KatG in local isolates. Furthermore, PCR-RFLP technique could be considered as a reliable method for the early detection of KatG mutations in MDR-TB.
Robust tracking control for robotic manipulator via fuzzy logic system and H ∞ approaches

Based on fuzzy logic system (FLS) and H∞ control methodologies, a robust tracking control scheme is proposed for robotic system with uncertainties and external disturbances. FLS is employed to implement the framework of computed torque control (CTC) method via its approximate capability which is used to attenuate the nonlinearity of robotic manipulator. The robust H∞ control can guarantee robustness to parametric and dynamics uncertainties and also attenuate the effect of immeasurable external disturbances entering the system. Moreover, a quadratic stability approach is used to reduce the conservatism of the conventional robust control approach. It can be guaranteed that all signals in the closed-loop are bounded by employing the proposed robust tracking control. The validity of the proposed control scheme is shown by simulation of a two-link robotic manipulator.