Miracle-dz/UniFAR-FTUs huggingface dataset:
Leadership styles and effectiveness in the workplace: A perspective of the millennial generation

Background: Millennial leaders are seen in the workplace as the leadership pipeline for the preceding generations, Generation X and baby boomers, particularly given that the older baby boomer generation are retiring. However, the correlation between leadership styles and leadership effectiveness and the consequences for leadership development have not been fully researched in the literature on millennial leaders. Aim: The aim of this research was to test differences between leadership styles and leadership effectiveness as perceived by both millennial followers and millennial leaders. Setting: This research was conducted in South Africa, in a variety of organisations, and through sampling of employees across generations. Methods: Cross-sectional data were collected with instruments based on the Pearce typology of leadership styles, after which the data were segmented according to three generations. After confirming reliability and general factorial validity of the instruments, regression analysis was performed to determine the contribution of four leadership styles towards leadership effectiveness. Results: Two of the leadership styles, namely empowering and transformational, were perceived by both millennial followers and leaders as being statistically significant predictors of leadership effectiveness, whilst the remaining two leadership styles, directive and transactional, did not have a statistically significant contribution towards leadership effectiveness. Conclusion: The results support the alternative hypotheses aligned with the literature review that millennials prefer empowering and transformational leadership styles as they regard these styles as effective. However, important to note is that Generation X has very similar preferences. This knowledge will assist with improved development of millennial leaders in the workplace.
Proximal Femoral Fractures in the Elderly: A Few Things to Know, and Some to Forget

Hip fractures are a leading cause of hospitalisation in elderly patients, representing an increasing socioeconomic problem arising from demographic changes, considering the increased number of elderly people in our countries. Adequate peri-operative treatment is essential to decrease mortality rates and avoid complications. Modern management should involve a coordinated multidisciplinary approach, early surgery, pain treatment, balanced fluid therapy, and prevention of delirium, to improve patients’ functional and clinical outcomes. The operative treatment for intertrochanteric and subtrochanteric fractures is intramedullary nail or sliding/dynamic hip screw (DHS) on the basis of the morphology of the fracture. In the case of neck fractures, total hip replacement (THR) or hemiarthroplasty are recommended. However, several topics remain debated, such as the optimum thromboprophylaxis to reduce venous thromboembolism or the use of bone cement. Postoperatively, patients can benefit from early mobilisation and geriatric multidisciplinary care. However, during the COVID-19 pandemic, a prolonged time to operation with a subsequent increased complication rate have burdened frail and elderly patients with hip fractures. Future studies are needed with the aim to investigate better strategies to improve nutrition, postoperative mobility, to clarify the role of home-based rehabilitation, and to identify the ideal analgesic treatment and adequate tools in case of patients with cognitive impairment.
How Consumers Respond to Embarrassing Service Encounters: A Dehumanization Perspective

The current research advances understanding of how consumers respond to embarrassing service encounters. Across a combination of field and online studies, the authors provide evidence that (1) consumers prefer self-service to human services when purchasing embarrassing products or services; (2) when self-service is not available, consumers respond more positively to a mechanistic service provider than to a personable service provider; and (3) if consumers must engage in embarrassing social interactions, they dehumanize service providers, perceiving them as more mechanistic and less capable of emotional reactions than when engaging in nonembarrassing service interactions. The authors also examine consumers’ familiarity with the service provider as a boundary condition for the effect. Collectively, the results provide converging evidence for the proposed framework and have substantive implications for service management.
A More Accurate Measurement of the 28Si Lattice Parameter

In 2011, a discrepancy between the values of the Planck constant measured by counting Si atoms and by comparing mechanical and electrical powers prompted a review, among others, of the measurement of the spacing of 28Si {220} lattice planes, either to confirm the measured value and its uncertainty or to identify errors. This exercise confirmed the result of the previous measurement and yields the additional value d220 = 192 014 711.98(34) am having a reduced uncertainty.
Bayesian Optimization of Queuing-Based Multichannel URLLC Scheduling

This paper studies the allocation of shared resources between ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) in the emerging 5G and beyond cellular networks. In this paper, we design a unique queuing mechanism for the joint eMBB/URLLC system. The aim is to flexibly schedule URLLC traffic to enhance the total eMBB throughput and the reliability of URLLC packets (i.e., the probability of not dropping URLLC packets in each mini-slot) while maintaining a satisfactory transmission latency as per the 3GPP requirements. Precisely, by deriving the steady-state probabilities of URLLC queue backlog analytically, we formulate a stochastic optimization problem to maximize the total normalized eMBB throughput and the URLLC utility. Due to the stochastic nature of the objective function, it is expensive to evaluate it for any set of inputs, and thus the Bayesian optimization is applied to obtain the optimal results of such a black-box objective function. Numerical results demonstrate that the proposed queuing mechanism never violates the latency requirement of the URLLC services but improves the reliability. It also enhances the total normalized eMBB throughput as compared to the method without queuing.
Chitosan Nanoparticles: A Versatile Platform for Biomedical Applications

Chitosan is a biodegradable and biocompatible natural polymer that has been extensively explored in recent decades. The Food and Drug Administration has approved chitosan for wound treatment and nutritional use. Furthermore, chitosan has paved the way for advancements in different biomedical applications including as a nanocarrier and tissue-engineering scaffold. Its antibacterial, antioxidant, and haemostatic properties make it an excellent option for wound dressings. Because of its hydrophilic nature, chitosan is an ideal starting material for biocompatible and biodegradable hydrogels. To suit specific application demands, chitosan can be combined with fillers, such as hydroxyapatite, to modify the mechanical characteristics of pH-sensitive hydrogels. Furthermore, the cationic characteristics of chitosan have made it a popular choice for gene delivery and cancer therapy. Thus, the use of chitosan nanoparticles in developing novel drug delivery systems has received special attention. This review aims to provide an overview of chitosan-based nanoparticles, focusing on their versatile properties and different applications in biomedical sciences and engineering.
Design of a Simple Multi-Band Antenna with a Parasitic C–Shaped Strip

A new design of multi-frequency antenna is presented. The antenna comprises a direct-radiating patch and a parasitic C-shaped strip, which generate resonant modes to cover 2.4/3.6/5.2/5.8 GHz bands. The design was experimentally verified by constructing the antenna on a PTFE (εr = 2.4) dielectric substrate (30 mm * 36 mm * 1 mm) and exhibiting its impedance bandwidth and radiation characteristics at the three bands. The measured |S11| < –10 dB (VSWR < 2 : 1) bandwidth in the 2.4 GHz band is 550 MHz ((2.3–2.536 GHz), and it covers the bandwidth required for 2.4 GHz WLAN. The 5.2/5.8 GHz resonant mode has a bandwidth of 1.44 GHz (4.67–6.11 GHz) covering 5.2/5.8 GHz WLAN bands. The obtained impedance bandwidth reaches 790 MHz (spans from 3.15 GHz to 3.94 GHz). A rigorous experimental evaluation confirms that the proposed antenna maintains good radiation. Detailed design steps and experimental results for the designs are studied and investigated in this paper.
Research on the Mechanical and Physical Properties of Basalt Fiber-Reinforced Pervious Concrete

The aim of this study was to investigate the properties of fiber-reinforced pervious concrete. Ordinary cement, silica fume, coarse aggregate, and basalt fibers were used to produce the concrete mix. The fibers were mixed with pervious concrete at the levels of 0 kg/m3, 2 kg/m3, 4 kg/m3, 6 kg/m3, and 8 kg/m3 to the investigate their influence on the mechanical and physical properties of pervious concrete. It could be observed that the cubic compressive strength, axial compressive strength, and flexural strength increased and then decreased as the content of basalt fiber increased, while the permeability and porosity of the pervious concrete decreased with the increase in the basalt fiber content. The mesostructure of pervious concrete was also studied through industrial computed tomography (ICT); the testing phenomenon showed that the fibers had a significant influence on the arrangement of the aggregate, cement paste, and the interfacial transition zone, and excessive basalt fiber resulted in poor characteristics of the interfacial transition zone (ITZ) and inferior strength properties. It was found that incorporating a basalt fiber content of 4 kg/m3 could achieve a balance between the mechanical and physical properties of pervious concrete, which was suitable for structural applications.
Energy efficient with prolonging lifetime in homogeneous wireless sensor networks

In this artical, we suggest a new clustering model called the Fuzzy Low Energy Adaptive Clustering Hierarchy Protocol (FLEACH). It has the ability to go around obstacles and fix the issue of uneven energy consumption in homogenous wireless sensor networks (WSNs). In order to determine the best routing path for the homogeneous WSNs, we also suggest the Ant Colony Routing Method (ACORM), which is an energy-efficient routing technique. ACORM aims to investigate issues relating to balancing energy consumption and maximizing network life. To illustrate FLEACH-ACORM's effectiveness in managing energy consumption and optimizing homogeneous network life, we compare our system with two approaches: Power-Efficient Sensor Information Systems (PEGASIS) and LEACH. Results of the simulation indicate that the network lifetime achieved by FLEACH-ACORM could be increased by almost 28.5 % and 19.8 % more than that obtained by LEACHPEGASIS, LEACH clustering protocols, respectively.
No indications of axionlike particles from Fermi

As very high energy (> or approx. 100 GeV) gamma rays travel over cosmological distances, their flux is attenuated through interactions with the extragalactic background light. Observations of distant gamma ray sources at energies between {approx}200 GeV and a few TeV by ground-based gamma-ray telescopes such as HESS, however, have motivated the possibility that the universe is more transparent to very high energy photons than had been anticipated. One proposed explanation for this is the existence of axionlike particles (ALPs) which gamma rays can efficiently oscillate into, enabling them to travel cosmological distances without attenuation. In this article, we use a state-of-the-art model for the extragalactic background light (which is somewhat lower at {approx}{mu}m wavelengths than in previous models) and data from the Fermi Gamma Ray Space Telescope to calculate the spectra at 1-100 GeV of two gamma-ray sources, 1ES1101-232 at redshift z=0.186 and H2356-309 at z=0.165, in conjunction with the measurements of ground-based telescopes, to test the ALP hypothesis. We find that these observations can be well fit by an intrinsic power-law source spectrum with indices of -1.72 and -2.1 for 1ES1101-232 and H2356-309, respectively, and that no ALPs or other exotic physics is necessary to explain the observedmore » degree of attenuation. While this does not exclude the possibility that ALPs are involved in the cosmological propagation of gamma rays, it does reduce the motivation for such new physics. « less
Newtonian viscosity of supercooled liquid in a Pd40Ni40P20 metallic glass

The Newtonian viscosity of the supercooled liquid measured by the continuous-strain-rate tensile test was investigated in the Pd40Ni40P20 metallic glass. It was found that continuous-strain-rate tests were applicable to determine the viscosity over a wide strain-rate region, and that the measured Newtonian viscosity η0 corresponded to the equilibrium one. The viscosity η over the entire strain-rate interval could be well described by one master curve expressed with a stretched exponential function η/η0=1−exp(C/eβ) in which β was 0.82. The free-volume-theory relation proposed by Cohen and Grest reproduced the equilibrium viscosity data over the entire temperature region better than the famous Vogel–Fulcher–Tammann relation. The supercooled liquid of the Pd40Ni40P20 metallic glass was classified into the relatively strong liquids as well as the other metallic glasses. The Pd40Ni40P20 metallic glass that is a metal-metalloid alloy exhibited to be more fragile than metal–metal glasses.
The connection between work attitudes and Chinese correctional staff burnout

Officers are a valuable resource for prisons across the globe. Working in corrections is a demanding job with a higher-than-average risk of job burnout. Most prison burnout studies have focused on staff working in Western prisons, particularly those in the U.S. These studies have generally found an association between work attitudes and burnout among prison officers. However, a key question is whether the associations are universal or contextual, varying by nation. The current study examined the link between the major work attitudes of job involvement, job satisfaction, and organizational commitment and the burnout dimensions of emotional exhaustion, depersonalization, and feeling ineffective at work among staff at two Chinese prisons. According to the results of ordinary least squares multivariate regression tests, job involvement, and job satisfaction had significant negative effects on emotional exhaustion, but commitment did not. Only job involvement had significant negative effects on depersonalization. Job involvement and organizational commitment had significant negative effects on feeling ineffective, while job satisfaction had nonsignificant effects. The results indicate that the major work attitudes are negatively linked to job burnout for the studied Chinese prison staff; efforts should be undertaken to build these work attitudes to reduce burnout since burnout is linked to negative consequences for officers, inmates, and the prison. Based on previous research and current findings, some of the effects of work attitudes appear to be universal, and others appear to be contextual.
Assessing Surface Roughness Effect in Gyrotrons With the Gradient Conductivity Model

To accurately characterize the effect of the cavity surface roughness on the ohmic loss in gyrotron oscillators, this article proposes a method by using the gradient conductivity (GC) assessment model, in which a derived effective conductivity parameter is used to characterize the surface roughness. The results show that it has higher accuracy than the conventional methods such as the H-B formula, especially in the terahertz frequency band. This model also provides a reasonable explanation for the low-efficiency problem in terahertz gyrotrons, and it is beneficial to promote the design and analysis of gyrotrons.
Relationship of Gastroesophageal Flap Valve with Gastroesophageal Reflux Disease Assessed Based on GerdQ Scores and Endoscopic Images

Background: Gastroesophageal reflux disease (GERD) is a condition where reflux of stomach contents causes troublesome symptoms or complications. The gastroesophageal flap valve (GEFV) is one of the protective structures against esophageal reflux. This study aimed to determine the relationship between GEFV, measured by Gastroesophageal Reflux Disease Questionnaire (GerdQ) scores, and the endoscopic features of GERD patients. Method: This observational cross-sectional study was performed at Wahidin Sudirohusodo Hospital Makassar from August 2021 to October 2021. The participants were GERD patients who met the inclusion criteria. They were diagnosed using GerdQ scores and endoscopic features based on the Los Angeles criteria. The GEFV was assessed using retroflection endoscopy according to Hill’s criteria. Data analysis used SPSS version 25. The Kolmogorov–Smirnov test was used to assess data normality, along with the Chi-square test and calculation of odds ratio (OR). The results of the statistical tests were significant if p<0.05. Results: This study included 100 GERD patients: 49 men and 51 women. They had a mean age of 40.5±12.8 years and a mean body mass index of 22.4±3.8 kg/m2. Abnormal GEFV was a risk for a GerdQ score of ≥8 compared to <8 (OR 4.56; 95% CI 1.53–13.52). Both normal and abnormal GEFV in esophagitis reflux were higher than in non-erosive reflux disease (p=0.943). Conclusion: Abnormal GEFV was a risk factor for GERD based on a GerdQ score of 8, at 4.56 times higher than with normal GEFV. No statistically significant relationship existed between GEFV and endoscopic images.
Dynamic Quantizer Design for Target Tracking for Wireless Sensor Network With Imperfect Channels

Wireless sensor networks (WSNs) have been demonstrated to enhance parameter estimation performance for target tracking. In this paper, a prior information based quantizer design framework is proposed for target tracking for WSNs. In the proposed framework, the imperfect wireless channels between local sensors and the fusion center are considered. To make full use of the historical states and measurements embedded into the Bayesian tracking methodology, the quantizer design is suggested to be implemented with considering the prior state information. To this end, a channel-aware posterior Cramér-Rao lower bound (PCRLB) is derived based on the state prediction and further used as the performance indicator for quantizer design. Regarding target tracking, we model the quantizer design problem as a non-convex and highly nonlinear optimization problem that is intractable in general. We split the problem in terms of different scenarios, and for one-bit quantizer design based on a binary symmetric channel (BSC), we find that the optimal solution can be analytically computed. While for the general fading channel-based quantizer design problems, we propose two polynomial-time algorithms to find the solutions. Meanwhile, an approximation-based channel-aware particle filter (A-CAPF) is proposed to improve the implementation efficiency of state filtering. Simulation results demonstrate the enhanced performance and execution efficiency of the proposed algorithms in the context of the BSC and Rayleigh fading channel.
Stabilizing proteins, simplified: A Rosetta‐based webtool for predicting favorable mutations

Many proteins have low thermodynamic stability, which can lead to low expression yields and limit functionality in research, industrial and clinical settings. This article introduces two, web‐based tools that use the high‐resolution structure of a protein along with the Rosetta molecular modeling program to predict stabilizing mutations. The protocols were recently applied to three genetically and structurally distinct proteins and successfully predicted mutations that improved thermal stability and/or protein yield. In all three cases, combining the stabilizing mutations raised the protein unfolding temperatures by more than 20°C. The first protocol evaluates point mutations and can generate a site saturation mutagenesis heatmap. The second identifies mutation clusters around user‐defined positions. Both applications only require a protein structure and are particularly valuable when a deep multiple sequence alignment is not available. These tools were created to simplify protein engineering and enable research that would otherwise be infeasible due to poor expression and stability of the native molecule.
Traffic Flow Pattern Based Approach to Predict Real Driving Emission Test Routes

Due to the poor representation of NEDC emission test, the European Commission put into the force a new procedure, which contains both a laboratory test and a real word driving test. In this new test procedure, even though WLTC replaces NEDC, it is required to test the vehicle under real traffic conditions, which contains urban, rural and highway segments. Due to the new emission regulation, considerable number of academic work focus on the creation of RDE (Real Driving Emission) routes and RDE tests. In this study, it is introduced a new methodology for creating potential RDE routes. The routes, created in MATLAB code by using Istanbul road data containing a half an hour average trip records were used to predict a probable RDE test road. This model creates a number of RDE routes starting from defined coordinates and then analyses all alternative routes with respect to traffic flow rate and RDE boundary conditions identified by the European Commission. The routes obtained using the methodology developed are tested in real life conditions and evaluated according to actual existing traffic conditions.
Algorithm, Proof and Performances of a new Division of Floating Point Expansions

We present in this work a new algorithm for the division of floating point expansions. Floating expansion is a multiple precision data type developped with arithmetic operators that use the processor floating point unit for core computations instead of the integer unit. Researches on this subject have arised recently from the observation that the floating point unit becomes a more and more efficient part of modern computers. Many simple arithmetic operators and some very usefull geometric operators have already been presented on expansions. Yet previous work presented only a very simple division algorithm. We present in this work a new algorithm. We take this opportunity to extend the set of geometric operators with Bareiss' determinant on a matrix of size between 3 and 10. Running times with different determinant algorithms on different machines are compared with other multiprec- ision packages including GMP, CADNA and a computer geometry package working with modular arithmetic.