Miracle-dz/UniFAR-FTUs huggingface dataset:
The Mediating Effect of Employee Outcomes on the Relationship between Green Human Resource Management Practices and Firm Performance

Purpose: The purpose of the study was to determine the mediating effect of employee outcomes on the relationship between green human resource management (HRM) practices and the performance of firms listed on the Nairobi Securities Exchange (NSE). The study was anchored on the Guest model of HRM. It was guided by the positivist research philosophy and used a cross-sectional research design.A pilot was done in 12 firms not listed on the NSE. Reliability was ascertained through Cronbach’s coefficient and validity through expert judgement. Methodology: Primary data was collected using a structured questionnaire in a census of all the 62 NSE-listed firms. SPSS software was used to conduct descriptive and inferential statistics including Pearson correlation and simple regression analysis. The presentation of the results was in tables. Findings: The findings revealed an indirect link between green HRM practices and firm performance through employee outcomes. This implies the presence of a mediating effect (total effect minus the direct effect ()) of 0.284. Meaning that employee outcomes partially mediated the relationship between green HRM practices and firm performance. Therefore, the null hypothesis that employee outcomes have no statistically significant mediating effect on the relationship between green HRM practices and firm performance, was rejected. Unique contribution to theory, practice and policy: The study concluded that green employee outcomes (competency, commitment, and empowerment) were present in the listed firms and led to enhanced firm performance. The study validates the Guest model of HRM illustrating that the model is applicable in the study of firm performance. The study recommends that firms should introduce green HRM practices to realise employee outcomes that engrave an eco-culture among employees linked to sustainable performance. Further areas of research are; a study exploring the mediating role of other employment outcomes on the relationship between green HRM practices and firm performance. The study contributes to green HRM research theory and practice and offers a platform for further research by HR students, scholars, and researchers. Finally, the findings would guide Human Resource Managers as they institute green HRM practices in their organisations.
A spectrum of geoscience communication: from dissemination to participation

Abstract. This review article is a written contribution to accompany the 2023 Katia and Maurice Krafft Award from the European Geosciences Union. Through a consideration of my own practice and that of the wider literature, I explore how creative approaches (primarily poetry and games) can enhance the diversification of geosciences and facilitate broader engagement in its research and governance. I propose a spectrum for geoscience communication, spanning from dissemination to participation, and contend that effective communication demands a creative approach, considering the requirements of diverse audiences. I offer practical recommendations and tactics for successful geoscience communication, including audience awareness, transparency, and engagement with varied communities. This article emphasises the significance of fostering increased recognition for science communication within geosciences and promoting wider engagement in its research and governance. It delivers valuable insights for researchers, educators, communicators, and policymakers interested in enhancing their communication skills and connecting with diverse audiences in the geoscience domain.
Professional Quality of Life Among Professionals Working with People with Eating Disorders: The Interplay Between Meaning in Work, Optimism, and Career Duration

Purpose Scientific literature findings reflect the challenges experienced by healthcare professionals (HCPs) whose work is dedicated to helping clients with eating disorders (EDs) in various treatment centers (wards). These challenges can affect the professional quality of life (comprised of compassion satisfaction, burnout, and secondary traumatic stress) of HCPs. The present study delved into this relationship and explored the moderating role of dispositional optimism and the role of career duration in ED wards in the link between meaning in work and professional quality of life. Methods Two hundred HCPs working in ED wards in Israel were recruited through their professional social networks. Participants completed self-report questionnaires related to socio-demographic and work data, professional quality of life, meaning in work, and dispositional optimism. Results Career duration in ED wards was negatively associated with secondary traumatic stress, while dispositional optimism and meaning in work were positively associated with compassion satisfaction and negatively associated with burnout and secondary traumatic stress. With respect to the moderation effect of dispositional optimism and EDs ward career duration, the findings revealed that the positive relationship between meaning in work and compassion satisfaction weakened as dispositional optimism scores increased. Additionally, the negative relationship between meaning in life and burnout was significant only when the career duration in EDs wards was less than 12.31 years. Conclusion HCPs working in ED wards could draw on the findings to improve their professional quality of life, especially through enhancing meaning in work. Attention should be paid especially toward HCPs with many years (>12.31) of experience in the ED wards.
A Joint Optimization Based Pansharpening via Subpixel-Shift Decomposition

Patch-based spatial dictionary has been widely used to fuse a high-resolution panchromatic (PAN) image with a low-resolution multispectral (LMS) image under the framework of sparse representation (SR). However, patch-based dictionary in the spatial domain is not sufficient to preserve spectral information, which may lead to large spectral distortion. To solve this problem, a new spectral dictionary-based pansharpening method using subpixel-shift decomposition and joint optimization (termed PANDA) is proposed. In this method, the model of pansharpening is formulated in a decomposed spectral domain under the sparse and low-rank constraint, as a joint optimization procedure of the spectral dictionary and its coefficients. Specifically, a subpixel- shift decomposition is first constructed, to decompose the PAN image into a series of subimages with the same spatial resolution as the LMS image. Then, a new imaging model for the pansharpening problem of the LMS image and the decomposed PAN subimages is formulated, with sparse and low-rank constraints. And finally, a joint optimization procedure for the spectral dictionary and its coefficients are theoretically derived, using the spectral information provided by the LMS image and the spatial information provided by the entire PAN subimages, respectively. Experimental results on different datasets show that the pansharpening performance of the proposed PANDA method outperforms the state-of-the-art methods in both spatial and spectral domains.
Development of droplet digital PCR-based detection of bacterial pathogens in prosthetic joint infection: a preliminary study using a synthesized model plasmid

Periprosthetic joint infection (PJI) can be diagnosed to characterize the microorganisms constituting a biofilm, which is an essential procedure for proper treatment. The gold standard method for detecting and identifying the causative microorganism is culture of microorganisms from patients-derived sample. ; however, this method takes a long time and has low sensitivity. To compensate for these limitations, identification methods based on real-time PCR (RT-PCR) have been widely used. However, RT-PCR also has limitations, including low sensitivity and the requirement of a standard curve for quantification. Therefore, to prevent significant proliferation of pathogenic bacteria, it is important to detect a limited number of infectious bacteria during early stages of PJI. In the present study, we developed droplet digital PCR-based detection of bacterial pathogens in PJI. And we evaluated the analytical performance of the assay using a model plasmid, based on the 16S ribosomal DNA sequence of target bacteria commonly found in PJI. We also prepared genomic DNA extracted from E. coli, S. aureus, and S. epidermidis to test whether ddPCR provides better sensitivity and quantification of the target sequences. ddPCR detected 400 attograms of target DNA, which was more than 10 times less than that detected by real-time PCR using synthesized plasmid. In addition, ddPCR detected target regions from genomic DNA of 50 femtograms for E. coli, 70 femtograms for S. epidermidis, and 90 femtograms for S. aureus. The results indicate that ddPCR has the potential to decrease the microbial detection limit and provide precise detection, signifying its effectiveness for early PJI.
Inclusive growth in Africa: Do fiscal measures matter?

Abstract In recent times, Africa has experienced remarkable economic growth; nonetheless, this advancement remains far from being considered inclusive, given the persistently high levels of poverty and income inequality across the continent. To this end, this study investigates the role of fiscal policy measures on inclusive growth using absolute and relative pro-poor measures of growth. The study utilizes panel data from 48 African countries spanning the period 1996 to 2020 and employs the Panel System Generalized Method of Moments (GMM) technique for analysis. Estimation results reveal a concerning trend where public debt service exacerbates both poverty and income inequality, underscoring the adverse consequences of mounting public debt pressures in the region. Interestingly, while government expenditure reduces inequality and worsens poverty, an increase in taxation reduces poverty but worsens income inequality. Further, an increase in taxation negatively affects the income shares of the bottom and middle-income groups while the top-income groups benefit. The findings of this study have significant policy implications for improving inclusive growth in the continent.
IP interpretation in environmental investigations

The induced polarization (IP) response of rocks and soils is a function of lithology and fluid conductivity. IP measurements are sensitive to the low‐frequency capacitive properties of rocks and soils, which are controlled by diffusion polarization mechanisms operating at the grain‐fluid interface. IP interpretation typically is in terms of the conventional field IP parameters: chargeability, percentage frequency effect, and phase angle. These parameters are dependent upon both surface polarization mechanisms and bulk (volumetric) conduction mechanisms. Consequently, they afford a poor quantification of surface polarization processes of interest to the field geophysicist. A parameter that quantifies the magnitude of surface polarization is the normalized chargeability, defined as the chargeability divided by the resistivity magnitude. This parameter is proportional to the quadrature conductivity measured in the complex resistivity method. For nonmetallic minerals, the quadrature conductivity and normalize.
Caregiver Burden and Quality of Life among Caregivers of Cancer Patients in Ahvaz, 2021 - 2022: A Cross-Sectional Study

Background: Reducing the care burden of family caregivers and improving their quality of life is one of the important goals of palliative care. Objectives: This study aimed to determine the caregiver burden (CB) and its relationship with the quality of life (QOL) of family caregivers of cancer patients admitted to Baqai 2 Hospital in Ahvaz City from 2021 to 2022. Methods: Using a convenience-sampling method, this cross-sectional descriptive-analytical study was carried out on 178 family caregivers of cancer patients. The data collection instrument included a three-part questionnaire. The first part included demographic information of family caregivers of cancer patients, the second part included the caregiver burden scale (CBS) to investigate the CB of the caregivers, and the third part included the caregiver quality of life index-cancer (CQOLC) scale to investigate QOL in caregivers. This questionnaire was standardized and had acceptable validity and reliability. Data analysis was carried out using descriptive and analytical statistics tests using SPSS V22 software. Results: The mean and SD of participants' CB and QOL were 15.79 ± 50.23 and 80.84 ± 23.29, respectively. The majority of caregivers (47.8%) had moderate CB, and the QOL of caregivers decreased significantly with an increasing CB (P < 0.001). The results showed that caregivers' QOL was influenced by factors such as CB, place of residence (rural area), duration, and type of disease (P < 0.001). Also, CB was influenced by factors such as marital and employment status, level of education, and the family relationship with patients (P < 0.001). Conclusions: The results of the present study showed that the QOL of family caregivers of cancer patients decreased with increasing CB. Therefore, authorities and oncology nurses should design necessary plans to develop interventions to reduce CB and improve the QOL of family caregivers of cancer patients.
Robust Adaptive Control Barrier Functions for Input-Affine Systems: Application to Uncertain Manipulator Safety Constraints

Most existing control barrier functions-based control strategies for manipulator systems require a perfect knowledge of the model or consider the worst-case uncertainties. To solve this problem, a composite learning-enhanced adaptive optimal control approach is first proposed for manipulator systems, which achieves constraint satisfactions of joint positions and velocities in the presence of model uncertainties, and leveraging historical data online reduces uncertainties in estimated parameters. Technically, to ensure constraint satisfactions, a series of zeroing control barrier functions are designed, based on which the conditions that guarantee the forward invariance of the constraint-admissible set are derived. Then, a data-driven approach is utilized to reduce the conservatism of the robust adaptive control barrier functions by tightening the bounds of the unknown parameters. A manipulator system illustrates the effectiveness of the proposed method.
The possibility of increasing the efficiency of terahertz absorption spectra noise reduction using a sliding window variant of Savitzky-Golay filter

The possibility of increasing the efficiency of Savitzky–Golay filter for THz absorption spectra noise reduction as a preprocessing step was considered. The studies were carried out on the model atmosphere gas mixtures typical for swampy area. The noisy absorption spectra of the gas mixtures in 0.1-1.0 THz spectral range were calculated using data from HITRAN database. A sliding window variant of Savitzky–Golay filter was proposed and analyzed. The analysis of noise reduction quality was evaluated by the criterion of proximity of two curves. Using Savitzky-Golay filter together with the sliding window method was shown to provide a significant improvement in the noise reduction compared to standard variant of this filter.
Three-dimensional full waveform inversion of short-period teleseismic wavefields based upon the SEM–DSM hybrid method

We present a method for high-resolution imaging of lithospheric structures based on full waveform inversion of teleseismic waveforms. We model the propagation of seismic waves using our recently developed direct solution method/spectral-element method hybrid technique, which allows us to simulate the propagation of short-period teleseismic waves through a regional 3-D model. We implement an iterative quasi-Newton method based upon the L-BFGS algorithm, where the gradient of the misfit function is computed using the adjoint-state method. Compared to gradient or conjugate-gradient methods, the L-BFGS algorithm has a much faster convergence rate. We illustrate the potential of this method on a synthetic test case that consists of a crustal model with a crustal discontinuity at 25 km depth and a sharp Moho jump. This model contains short- and long-wavelength heterogeneities along the lateral and vertical directions. The iterative inversion starts from a smooth 1-D model derived from the IASP91 reference Earth model. We invert both radial and vertical component waveforms, starting from long-period signals filtered at 10 s and gradually decreasing the cut-off period down to 1.25 s. This multiscale algorithm quickly converges towards a model that is very close to the true model, in contrast to inversions involving short-period waveforms only, which always get trapped into a local minimum of the cost function.
Low Insertion Loss CMOS Phase Shifter for Wireless Power Transfer System

In this study, we propose an optimization method for achieving low insertion loss (IL) and small size of phase shifter. To reduce the large size of the switch type phase shifter (STPS), an asymmetric high-pass (HP)/low-pass (LP) topology configuration was employed, where the 180° bit was subjected to a 110° shift and a 70° delay. In order to minimize the IL of the 180° phase shifter, transistors with sufficiently large widths were used in the HP/LP structure, even if they had low isolation. The size of the proposed phase shifter was <inline-formula> <tex-math notation="LaTeX">$0.53\times0.25$ </tex-math></inline-formula> mm<inline-formula> <tex-math notation="LaTeX">$^{\mathbf {2}}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$0.044\lambda \times 0.021\lambda $ </tex-math></inline-formula>). The 6-bit PS has a low IL of <inline-formula> <tex-math notation="LaTeX">$ < 7.4$ </tex-math></inline-formula> dB, low root mean square (rms) phase error of <inline-formula> <tex-math notation="LaTeX">$ < 3^{\circ }$ </tex-math></inline-formula>, low rms amplitude error of <inline-formula> <tex-math notation="LaTeX">$ < 0.48$ </tex-math></inline-formula> dB, and 1-dB power compression point <inline-formula> <tex-math notation="LaTeX">$>5.0$ </tex-math></inline-formula> dBm in 23.4–25.6 GHz.
Estimating Surface Current from HIMAWARI-8 SST Data using Particle Image Velocimetry Method (Case Study in The Flores Sea)

Four High-Frequency radar systems (HF) have been installed in Indonesia to monitor surface currents. In-situ ocean current observations are relatively expensive and limited by spatial and temporal resolution. Satellite remote sensing enables the estimate of surface current data generally from surface tracer data, including sea surface temperature (SST). Various methodologies have been developed to obtain surface currents. With Himawari-8 SST data, this study examines the accuracy of the resulting estimation. The cross-correlation fields of two identical-sized interrogation windows obtained from sequential images are employed in Particle Image Velocimetry (PIV). The HF radar in Labuan Bajo was used to validate surface current velocity estimates. RMSE, bias, and the Willmott index determined the accuracy. According to the estimates of surface currents made on July 29, 2022, the results follow a monsoon characteristic wind pattern in the Flores Sea. HF radar observations better validate the V component current estimation than the U component current estimation. A study of sea surface currents from SST data is lacking in Indonesian seas, and more repetition is required. As a result, This method has the potential can be employed to observe aquatic environments in other Indonesian areas.
Formation of hot spots at end-on pre-compressed isochoric fuels for fast ignition

It is crucial to form a hot spot that can drive a self-heating nuclear burn propagation into the surrounding cold fuel in ignition process of laser fusion. In this paper, we discuss the formation of a hemispherical hot spot located at the edge of an end-on precompressed isochoric fuel instead of a central spherical hot spot surrounded by cold fuel in a corona plasma shell. This configuration leads to a new energy loss mechanism named hot spot collapse, which originates from mass loss of the hot spot through the interface with the vacuum. A semi-analytical model is proposed including α particle induced burning, hot spot collapse and other energy loss processes. Then a modified ignition criterion is derived. The results show that the competition between the hot spot collapse and the burn propagation is crucial in the formation of the hot spot. The formation of such a hot spot at end-on precompressed isochoric fuels would require a somewhat higher initial temperature of Th=9 keV for a hot spot with an initial areal density ρd=0.6gcm−2 . Simulations are performed with a 3D hybrid particle-in-cell/fluid code for the heating process by fast electrons and a 3D radiation hydrodynamics code for the burning process. Simulation results agree with the model. Our optimized result shows a 10 ps heating laser pulse with an energy as low as 39 kJ can lead to a fast ignition in the ideal case. This study provides an effective reference for design and evaluation of experiments planned for fast ignition schemes.
Innovation Curriculum on Coffee Barista Education

Pendidikan kurikulum kopi barista merupakan bagian dari inovasi kurikulum untuk pendidikan dan pelatihan. Penelitian ini bertujuan untuk memahami inovasi kurikulum Pendidikan Barista sebagai bentuk pemecahan masalah pendidikan dan pelatihan barista profesional. Penelitian ini menerapkan pendekatan deskriptif kualitatif. Sumber data berasal dari studi literatur yang relevan terkait pengembangan kurikulum barista dan wawancara kepada para praktisi, seperti kopi barista, pemerintah, dan mahasiswa. Hasil penelitian ini adalah tentang inovasi kurikulum pendidikan barista yang terdiri dari ide dan produk. Ide kurikulum barista memfasilitasi kandidat atau barista junior menjadi profesional dalam pekerjaan mereka, melalui tujuan, konten, strategi, dan evaluasi. Inovasi produk dilengkapi dengan dokumen kurikulum, disertai dengan rencana pembelajaran dan buku pegangan. Inovasi kurikulum pendidikan barista merupakan bagian dari implementasi kurikulum dan evaluasi untuk meningkatkan tujuan kurikulum barista.
SHALLOW-WATER BATHYMETRY OVER VARIABLE BOTTOM TYPES USING MULTISPECTRAL WORLDVIEW-2 IMAGE

Image processing techniques that involve multispectral remotely sensed data are considered attractive for bathymetry applications as they provide a time- and cost-effective solution to water depths estimation. In this paper the potential of 8-bands image acquired by Worldview-2 satellite in providing precise depth measurements was investigated. Multispectral image information was integrated with available echo sounding and GPS data for the determination of the depth in the area of interest. In particular the main objective of this research was to evaluate the effectiveness of high spatial and spectral resolution of the new imagery data on water depth measurements using the Lyzenga linear bathymetry model. The existence of sea grass in a part of the study area influenced the linear relationship between water reflectance and depth. Therefore the bathymetric model was applied in three image parts: an area with sea grass, a mixed area and a sea grass-free area. In the last two areas the model worked successfully supported by the multiplicity of the imagery bands.