Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Organizational Climate and Competence on Employee Organizational Commitment with Job Satisfaction as Intervening Variable at Bali Mandara Hospital

The purpose of this study was to analyze the effect of organizational climate and competence on job satisfaction and organizational commitment. This research was conducted at Bali Mandara General Hospital. The research population was 222 non-Health employees, and 69 people were taken as samples. Sources of data using primary data in the form of a questionnaire. This study uses a quantitative research approach, with data analysis using Structural Equation Modeling with the SmartPLS 3.0 Program. The results of the study showorganizational climate and competence have a significant effect on job satisfaction. Organizational climate and competence have a significant effect on organizational commitment. Competence and job satisfaction have a significant effect on organizational commitment.
Global patterns in endemicity and vulnerability of soil fungi

Fungi are highly diverse organisms, which provide multiple ecosystem services. However, compared with charismatic animals and plants, the distribution patterns and conservation needs of fungi have been little explored. Here, we examined endemicity patterns, global change vulnerability and conservation priority areas for functional groups of soil fungi based on six global surveys using a high‐resolution, long‐read metabarcoding approach. We found that the endemicity of all fungi and most functional groups peaks in tropical habitats, including Amazonia, Yucatan, West‐Central Africa, Sri Lanka, and New Caledonia, with a negligible island effect compared with plants and animals. We also found that fungi are predominantly vulnerable to drought, heat and land‐cover change, particularly in dry tropical regions with high human population density. Fungal conservation areas of highest priority include herbaceous wetlands, tropical forests, and woodlands. We stress that more attention should be focused on the conservation of fungi, especially root symbiotic arbuscular mycorrhizal and ectomycorrhizal fungi in tropical regions as well as unicellular early‐diverging groups and macrofungi in general. Given the low overlap between the endemicity of fungi and macroorganisms, but high conservation needs in both groups, detailed analyses on distribution and conservation requirements are warranted for other microorganisms and soil organisms.
Examining harmful impacts of the COVID‐19 pandemic and school closures on parents and carers in the United Kingdom: A rapid review

Abstract Background As a result of the COVID‐19 pandemic, school closures meant that for many households, home and school environments became intertwined. Parents and carers found themselves taking on the role as de‐facto educators, as well as balancing working from home and caring for additional members of the household. Understanding the full extent of the effects incurred by parents and carers during school closures is vital to identifying and supporting vulnerable families. This rapid review aimed to appraise the available evidence on the potential effects of the COVID‐19 pandemic on UK parents and carers. Methods Searches for academic literature were conducted using Proquest Central, Scopus, and Google Scholar between 21st and 28th April 2021 using search terms describing “parents and carers”, “COVID‐19” and the “UK”. Additional literature was identified on relevant parents and carers' organisations websites including charity reports. Results Thirty‐two articles were found relating to harms affecting parents and carers in the UK High levels of psychological distress, including anxiety and depression, were consistently identified in the general parent population, and especially in parents caring for a child with special educational needs and/or neurodevelopmental disorders (SEN/ND). Charity reports indicated that many parents, especially those from an ethnic minority background and kinship carers, were worse off financially and with food insecurities, whereas empirical evidence showed that mothers were more likely to initiate furlough for themselves compared with fathers or childless women. Domestic abuse support services also reported a sharp rise in demand during lockdown restrictions, and practitioners reported an increase in child and adolescent violence towards parents. Conclusions Given the known impacts of parental stress, mental health problems, domestic violence and financial hardship on children's development, it is critical that these findings are taken into account in case of future pandemics to minimise harms both to parents and their families.
E-learning readiness of teachers in the new normal education: The case of national high schools in Eastern Samar

Online learning readiness assessment allows for the comprehensive planning of online learning strategies. Therefore, this study was conducted to examine the readiness of 207 national high school instructors in the southern part of Eastern Samar for online learning in the new normal education. The study used a descriptive-comparative research plan and a survey questionnaire for data collection. The study found that teachers were ready to implement e-learning. Specifically, teachers are ready in terms of technical skills, attitude toward online learning, as well as time management and time commitment, but only somewhat prepared in terms of experience with online learning and teaching. It is recommended that teachers participate in different training, workshops, and seminars related to e-learning to gain more online learning and teaching experience and fully prepare for e-learning implementation.
AFFECTIVE LEARNING WITH CREATIVE DRAMA? TRANSFORMATION GEOMETRY AND TEACHERS’ CANDIDATES’ LEARNING

Art is a special tool for mathematics education. Many artists have used mathematics and geometry in their artworks. This study aims to examine M.C. Escher's drawings with creative drama in the light of transformation geometry. In this study, the explanatory sequential was chosen from the mixed-method designs. Quantitative data of the study were collected with the Geometry Attitude Scale (GAS). Qualitative data were collected with the Workshop Evaluation Form, the Academic Achievement Measurement Form (AAMF), and semistructured interviews. The study group consisted of 21 volunteer participants. The data obtained from GAS were analyzed with SPSS and qualitative data were analyzed using descriptive and content analysis. Participants' GAS scores differed significantly after the implementation. Regarding both quantitative and qualitative analysis obtained from this study, which consisted of 8 workshops in total, an increase was observed in participants' attitudes towards geometry after participating in the workshop. Article visualizations:
Secondary students’ attitude towards mathematics in a selected school of Maldives

Students’ attitude towards mathematics has been a factor that is known to influence students’ achievement in mathematics. The purpose of this study is to find out the students attitude towards mathematics and find out gender difference in attitude towards mathematics in a selected school of Maldives. A total of 200 secondary students were administered with a questionnaire to find out their attitudes towards mathematics. The students answered questions regarding their personal confidence to mathematics and perceived usefulness of mathematics. The results show that the students’ positive attitude towards mathematics is medium and there is no gender difference in their attitudes.
Residual Stress Enhancement by Laser Shock Treatment in Chromium-Alloyed Steam Turbine Blades

In-service turbine blade failures remain a source of concern and research interest for engineers and industry professionals with attendant safety and economic implications. Very high-pressure shock impacts from laser shots represent an evolving technique currently gaining traction for surface improvement and failure mitigation in engineering components. However, the physical characteristics and effects of parameter variations on a wide range of materials are still not fully understood and adequately researched, especially from a computational point of view. Using the commercial finite element code ABAQUS©, this paper explores the application of laser shock peening (LSP) in the enhancement of residual stresses in Chromium-based steel alloyed turbine blade material. Results of the numerically developed and experimentally validated LSP model show that peak compressive residual stresses (CRS) of up to 700 MPa can be induced on the surface and sub-surface layers, while the informed varying of input parameters can be used to achieve an increase in the magnitude of CRS imparted in the peened material. Analysis of the hierarchy of influence of the five input parameters under investigation on residual stress enhancement reveals the laser shock intensity as the most influential, followed in descending order of influence by the exposure time, shot size, degree of overlaps, and the angle of shot impact.
Flow Induced Vibration Forces on a Fuel Rod by LES CFD Analysis

The purpose of the present study is to evaluate the feasibility of use of CFD Large Eddy Simulation (LES) modeling techniques in CD-adapco CFD code STAR-CCM+ to calculate the instantaneous stress tensor on the fuel rod wall and then utilize these data for mechanical calculations. Transient hydraulic forces on the fuel rod resulting from the CFD model are linked to the Westinghouse VITRAN code to predict fuel rod vibration response. The coupled CFD/mechanical solution has provided a reasonable prediction of fuel rod vibration and a more accurate representation of all the important physics and excitation forces.
Stable Distributions. Models for Heavy Tailed Data

An electrical circuit means for protecting an electrical system from excessive voltage generated by an electrical energy generator that is particularly suited for use in an automotive vehicle. A regulator is connected to the output windings of an electrical energy generator and to the control winding for limiting the energization of the control winding and the magnitude of the voltage produced in the output windings. A solid state switching network is coupled to the output windings of the generator and the regulator for decoupling the output windings from the regulator when the voltage produced in the output windings exceeds a first predetermined level and for maintaining the output windings decoupled from the regulator until the voltage produced in the output windings falls to a second substantially lower predetermined level.
Delafloxacin-Capped Gold Nanoparticles (DFX-AuNPs): An Effective Antibacterial Nano-Formulation of Fluoroquinolone Antibiotic

New antibiotics are seen as ‘drugs of last resort’ against virulent bacteria. However, development of resistance towards new antibiotics with time is a universal fact. Delafloxacin (DFX) is a new fluoroquinolone antibiotic that differs from existing fluoroquinolones by the lack of a protonatable substituent, which gives the molecule a weakly acidic nature, affording it higher antibacterial activity under an acidic environment. Furthermore, antibiotic-functionalized metallic nanoparticles have been recently emerged as a feasible platform for conquering bacterial resistance. In the present study, therefore, we aimed at preparing DFX-gold nano-formulations to increase the antibacterial potential of DFX. To synthesize DFX-capped gold nanoparticles (DFX-AuNPs), DFX was used as a reducing and stabilizing/encapsulating agent. Various analytical techniques such as UV-visible spectroscopy, TEM, DLS, FTIR and zeta potential analysis were applied to determine the properties of the synthesized DFX-AuNPs. The synthesized DFX-AuNPs revealed a distinct surface plasmon resonance (SPR) band at 530 nm and an average size of 16 nm as manifested by TEM analysis. In addition, Zeta potential results (−19 mV) confirmed the stability of the synthesized DFX-AuNPs. Furthermore, FTIR analysis demonstrated that DFX was adsorbed onto the surface of AuNPs via strong interaction between AuNPs and DFX. Most importantly, comparative antibacterial analysis of DFX alone and DFX-AuNPs against Gram-negative (Escherichia coli and Pseudomonas aeruginosa) and Gram-positive (Staphylococcus aureus and Bacillus subtilis) verified the superior antibacterial activity of DFX-AuNPs against the tested microorganisms. To sum up, DFX gold nano-formulations can offer a promising possible solution, even at a lower antibiotic dose, to combat pathogenic bacteria.
Differential-Fed, Dual-Aperture Based, Quasi-End-Fire 5G mmWave Antenna-in-Package Design

A low-profile, wideband antenna-in-package (AiP) design is proposed for 5G mmWave mobile applications. The aperture-coupled feeding incorporated with the microstrip feed line through the slots in the ground is used to excite the patch antenna. Firstly, a thin quarter-wave shorted patch antenna (QW-SPA) with the dominant <inline-formula> <tex-math notation="LaTeX">${TM}_{1/2,0,0}^{z}$ </tex-math></inline-formula> mode is realized. To broaden the operating band, the QW-SPA is extended along its resonant length so that the <inline-formula> <tex-math notation="LaTeX">${TM}_{1,0,0}^{z}$ </tex-math></inline-formula> mode can also be excited. The offset introduced into the two slots together with the additional shorting via wall are applied to enhance the beam tilt toward the end-fire direction. The proposed single-patch design shows a wide fractional bandwidth, covering the 5G mmWave band n257 (26.5–29.5 GHz). Furthermore, to increase more beam tilt, the differential-fed, two-patch sub-array formed by two QW-SPAs spaced a half-wavelength at 28 GHz apart is also presented. Compared with the single-patch design, the beam-tilt enhancement of around 10–27 degrees is obtained over the desired frequency band with the peak gain of around 8.2 dBi for the sub-array AiP design.
Jordan τ-derivations of Prime Rings

Let R be a prime ring which is not commutative, with maximal symmetric ring of quotients Q ms (R), and let τ be an anti-automorphism of R. An additive map δ: R → Q ms (R) is called a Jordan τ-derivation if δ(x 2) = δ(x)x τ + xδ(x) for all x ∈ R. A Jordan τ-derivation of R is called X-inner if it is of the form x → ax τ − xa for x ∈ R, where a ∈ Q ms (R). It is proved that any Jordan τ-derivation of R is X-inner if either R is not a GPI-ring or R is a PI-ring except when charR = 2 and dim C RC = 4, where C is the extended centroid of R.
User-Defined Foot Gestures for Eyes-Free Interaction in Smart Shower Rooms

Abstract With the rapid development of natural human-computer interaction technologies, gesture-based interfaces have become popular. Although gesture interaction has received extensive attention from both academia and industry, most existing studies focus on hand gesture input, leaving foot-gesture-based interfaces underexplored, especially in scenarios where the user’s hands are occupied for other interaction tasks such as washing the hair in smart shower rooms. In such scenarios, users often have to perform interactive tasks (e.g., controlling water volume) with their eyes closed when water and shampoo liquid flow along with their head to eyes area. One possible way to address this problem is to use eyes-free (rather than eyes-engaged), foot-gesture-based interactive techniques that allow users to interact with the smart shower system without visual involvement. Through our online survey, 71.60% of the participants (58/81) have the requirements of using foot-gesture-based eyes-free interactions during showers. To this end, we conducted a three-phase study to explore foot-gesture-based interaction to achieve eyes-free interaction in smart shower rooms. We first derived a set of user-defined foot gestures for eyes-free interaction in smart shower rooms. Then, we proposed a taxonomy for foot gesture interaction. Our findings indicated that end-users preferred single-foot (76.1%), atomic (73.3%), deictic (65.0%), and dynamic (76.1%) foot gestures, which markedly differs from the results reported by previous studies on user-defined hand gestures. In addition, most of the user-defined dynamic foot gestures involve atomic movements perpendicular to the ground (40.1%) or parallel to the ground (27.7%). We finally distilled a set of concrete guidelines for foot gesture interfaces based on observing end-users’ mental model and behaviors when interacting with foot gestures. Our research can inform the design and development of foot-gesture-based interaction techniques for applications such as smart homes, intelligent vehicles, VR games, and accessibility design.
Chronic comorbidities in persons living with HIV within three years of exposure to antiretroviral therapy at Pantang Antiretroviral Center in Ghana: a retrospective study

Introduction uptake of antiretroviral therapy (ART) and retention in care are associated with increased life expectancy but increased the risk of comorbid conditions in persons living with HIV (PLWH) and taking antiretroviral drugs. This study describes comorbid conditions among PLWH in Ghana. Methods PLWH (n=222) out of a sample population of 900, randomly selected at Pantang ART Center participated in the study from June to July of 2020. Socio-demographic characteristics, HIV biomarkers, medication type and adherence, and diagnostic confirmed chronic conditions were extracted from medical records of PLWH. Cox proportional-hazard models and Kaplan-Meier curves graphing risk of experiencing comorbid conditions were performed. Log-rank test was performed at p<0.05. Results fifty three point two percent of PLWH (222) experienced a comorbid condition including, respiratory conditions (17.6%), anaemia (12.2%), hypertension (12.2%), cardiovascular diseases (10.8%),and neurological conditions (10.8%). Factors associated with some of these conditions were medication adherence (aHR=0.43, 95% CI: 0.21-0.90) and visual changes (aHR=2.64, 95% CI: 1.08-6.45) for respiratory conditions, age (aHR=10.03, 95% CI; 1.22-82.37) for hypertension, and World Health Organization (WHO) clinical stages (stage II (aHR=13.36, 95% CI=1.54-115.63) and III (aHR=11.71, 95% CI=1.41-97.26))for peripheral neuropathy. Kaplan-Meier curves show significant risk of comorbid conditions for age, CD4 count ≤350 cells/mm2, WHO clinical stages III and IV, and ART non-adherence. Conclusion understanding the types of comorbidities in PLWH is integral to providing feedback to primary care providers to monitor.
Firms’ Behavior Under Discriminatory Laws and Women’s Employment in the Democratic Republic of Congo

ABSTRACT This article contributes to better understanding firms’ behavior in the presence of gender discriminatory laws and its linkages with labor market outcomes for women in a developing country setting. Using data collected through the World Bank Enterprise Surveys in the Democratic Republic of Congo, the study documents the existence of nonnegligible employer discrimination in the presence of discriminatory laws. Interestingly, discriminatory behaviors, and the related limitations in women’s autonomy, are more pervasive outside the capital city, Kinshasa, which suggests that differences in enforcement and social norms may be at play. The study also finds that, in those firms that do not enforce discriminatory laws, women benefit from better labor market outcomes, in terms of their representation among the upper echelons of management and their participation in the overall workforce. The positive relationship between nondiscriminatory behaviors and female employment is particularly strong in the manufacturing sector. HIGHLIGHTS In the Democratic Republic of Congo, discriminatory laws are linked to employer discrimination against women. Firms do not follow these laws uniformly, with enforcement varying by geography and type of law. This important nuance helps uncover the interaction between national laws and local norms. Firms that do not impose discriminatory laws have more women employees and managers.
A Decision-Tree Scheme for Responding to Uncertainties in Microgrid Protection Coordination

Abstract In addition to the dynamic nature of microgrids, uncertainty in the proper operation of protection system and communication links are other challenges affecting the protection coordination of these networks. Therefore, in this paper, a new protection coordination plan based on decision tree for considering uncertainties in the topology of microgrid, protection system, and communication links is presented. The proposed method allows the adaptive protection to make global decisions and adopt the best strategy to clear faults depending on considered uncertainties. Since circuit breakers are the most prone to failure equipment in the protection system due to fault-caused stress, this paper models uncertainty in the protection system with uncertainty in the performance of circuit breakers. In order to consider uncertainty in circuit breakers and communication links, their probability of correct operation are not considered fixed but variable, respectively, proportional to the fault current flowing through the circuit breakers and the latency of communication links. The proposed plan was tested on a sample microgrid in DIgSILENT Power Factory. Results prove that using the proposed method, adaptive protection can establish an optimal sequence of strategies so that with the failure of each strategy, the best backup strategy is replaced given the uncertainties.
Trade-off between Spectral Feature Extractors for Machine Health Prognostics on Microcontrollers

Machine learning methods have shown a high impact on machine health prognostics solutions. However, most studies stop after building a model on a server or pc, without deploying it to embedded systems close to the machinery. Bringing machine learning models to small embedded systems with a small energy budget does require adapted models and raw time series data processing to handle resource constraints while maintaining high model performance. Feature extraction plays a crucial role in this process. One of the most common methods for machinery data feature is its spectral information, that are extracted via digital filters. Calculating spectral features on microcontrollers has a great impact on the computational requirements of the overall estimations. In this paper, we analyze mel-spectrogram and infinite impulse response (IIR) based spectral feature extractors regarding their estimation performances and their computational requirements. The goal is to evaluate possible trade-offs when selecting one feature extractor over the other. To achieve this, we study the cost of both methods theoretically and via run-time measurements after analyzing the feature design space to ensure good model performance. Our results show that by selecting an appropriate filter to the problem, its feature space dimensionality and, consequently, its computational load can be reduced.