Miracle-dz/UniFAR-FTUs huggingface dataset:
Bayesian Analysis in Partially Accelerated Life Tests for Weighted Lomax Distribution

: Accelerated life testing has been widely used in product life testing experiments because it can quickly provide information on the lifetime distributions by testing products or materials at higher than basic conditional levels of stress, such as pressure, temperature, vibration, voltage, or load to induce early failures. In this paper, a step stress partially accelerated life test (SS-PALT) is regarded under the progressive type-II censored data with random removals. The removals from the test are considered to have the binomial distribution. The life times of the testing items are assumed to follow length-biased weighted Lomax distribution. The maximum likelihood method is used for estimating the model parameters of length-biased weighted Lomax. The asymptotic confidence interval estimates of the model parameters are evalu-ated using the Fisher information matrix. The Bayesian estimators cannot be obtained in the explicit form, so the Markov chain Monte Carlo method is employed to address this problem, which ensures both obtaining the Bayesian observed failures, and censoring schemes, in most cases. Further performance comparison is conducted by the experiments with real data.
Multigroup Multicast Downlink Cell-Free Massive MIMO Systems With Multiantenna Users and Low-Resolution ADCs/DACs

In this article, the effects of multiantenna users and low-resolution analog-to-digital converters/digital-to-analog converters (ADCs/DACs) on multigroup multicast downlink cell-free massive multi-input multi-output (MIMO) systems are explored. Leveraging on the distributed conjugate beamforming receiver and the generalized additive quantization noise model, we first derive a closed-form expression for the achievable sum spectral efficiency (SE). The resultant expression enables us to precisely quantify the effects of key parameters, such as the transmit power of access points (APs), the numbers of groups, users’ antennas, APs’ antennas, and quantization bits. Due to the joint influence of channel hardening property, multiantenna gain, and intergroup interference, the research becomes sophisticated particularly. The result shows that when the sum-SE is small, the multicast is better than the unicast and vice versa. Typically, it reveals that the full-resolution DAC can be replaced by 5-bit low-resolution DAC to achieve the same performance, and the additional antenna at users can effectively enhance the system performance. Then, according to a generated energy cost model, the formula of the energy efficiency (EE) is obtained. When the DAC quantization is equal to 2-bit, it can achieve the maximum sum EE. Finally, the simulation results are provided to verify the derived results.
Dynamic fragmentation of single-walled carbon nanotubes induced by sonication

Ultrasonication is widely recognized as a highly effective means of cutting long and entangled single-walled carbon nanotubes (SWCNTs) into shorter pieces. The exact nanotube cutting mechanism, however, remains elusive. While some have attributed the fragmentation process to the microscopic domains of high temperature that attacks the surface of the SWCNTs during bubble implosion, others have suggested that the large friction forces between the liquid and the SWCNTs resulted in the scission process. In this work, we use scale-bridging molecular dynamics simulations to ascertain the exact nanotube cutting mechanisms. Results show that friction forces alone are insufficient to fracture the nanotube. However, photon irradiation during the collapse of cavitation bubbles could induce the formation of significant proportions of defects in the SWCNTs: these defects contribute to both increased frictional loads, and reduced critical shell buckling loads, ultimately leading to nanotube scission.
Performance Analysis of Sub-GHz System for IoT Applications

This article reports a sub-GHz, 868MHz, battery operated miniature sensor node with a fabricated helical Printed Circuit Board (PCB) and a third party whip antenna for Internet of Things (IoT) applications. CC1310 System on Chip (SoC), a sub-GHz family wireless microcontroller, is used to design the system. A HDC 1050 temperature and humidity sensor is interfaced with the microcontroller. The system has the desirable benefits of being small and inexpensive, long battery life and capable of long transmission range. The path loss exponent is calculated from Received Signal Strength Indicator (RSSI) values in two environments - free space and across concrete obstructions. A wireless sensor network is incorporated into a cloud platform for real time monitoring, and web application has been developed for data display and analysis. To validate the proposed IoT system, the measured data is compared with an independent meteorological data set from the Indian Meteorological Department, Cyclone Warning Centre, Visakhapatnam.
The Role of the Fundamental Attribution Error in the Context of Human Resource Management

Attribution theories are well established in the field of social psychology. However, the transfer to the context of human resource management is still developing. Only recently, the understanding of the importance of psychological insights in this field has begun to grow. The research takes a closer look on the way individuals locate the causes of their actions. It can potentially influence important decisions in the context of human resource management. This article sheds light on the theoretical foundations, causes, and effects.
Protection configuration in distribution network with distributed PV integration

In distribution networks, PV integration may cause maloperation or insufficient sensitivity of the protection under traditional protection configurations. This paper has investigated the impact of PV integration on the existing protections in distribution networks. An improvement scheme of protection configuration is proposed based on inverse time limit protection (ITLP) combined with the traditional protection configuration. The configuration strategy and setting methods of improvement scheme are introduced. A simulation model is established using DIGSILENT platform to verify the feasibility of the improvement scheme in five typical fault cases and the results indicate that the improvement scheme can ensure the correct operation of protection in different fault location.
Projective Multiple Kernel Subspace Clustering

Multiple kernel subspace clustering (MKSC), as an important extension for handling multi-view non-linear subspace data, has shown notable success in a wide variety of machine learning tasks. The key objective of MKSC is to build a flexible and appropriate graph for clustering from the kernel space. However, existing MKSC methods apply a mechanism utilizing the kernel trick to the traditional self-expressive principle, where the similarity graphs are built on the respective high-dimensional (or even infinite) reproducing kernel Hilbert space (RKHS). Regarding this strategy, we argue that the original high-dimensional spaces usually include noise and unreliable similarity measures and, therefore, output a low-quality graph matrix, which degrades clustering performance. In this paper, inspired by projective clustering, we propose the utilization of a complementary similarity graph by fusing the multiple kernel graphs constructed in the low-dimensional partition space, termed projective multiple kernel subspace clustering (PMKSC). By incorporating intrinsic structures with multi-view data, PMKSC alleviates the noise and redundancy in the original kernel space and obtains high-quality similarity to uncover the underlying clustering structures. Furthermore, we design a three-step alternate algorithm with proven convergence to solve the proposed optimization problem. The experimental results on ten multiple kernel benchmark datasets validate the effectiveness of our proposed PMKSC, compared to the state-of-the-art multiple kernel and kernel subspace clustering methods, by a large margin. Our code is available at https://github.com/MengjingSun/PMKSC-code.
Sugar-Improved Enzymatic Synthesis of Biodiesel with Yarrowia lipolytica Lipase 2

In this research, it was found that in Yarrowia lipolytica Lipase 2 (YLLIP2)-catalyzed biodiesel production, the content of fatty acid methyl esters (FAMEs) was increased by about 10% with the addition of d(+)-glucose. The result indicated that the d(+)-glucose could be used as an effective additive in YLLIP2-catalyzed biodiesel production. In accordance with the results above, the single factor experiments of key parameters in the process were first carried out. On the basis of the single factor experiment results, a five-factor, three-level response surface method was adopted to obtain the optimal reaction conditions: lipase dosage 40 IU/g oil, d(+)-glucose to lipase 1:1.05 (w/w), water content 1.95%, and reaction temperature 39.4 °C. A stoichiometric amount of methanol (11.5%, methanol/waste oil) was added in 6 times (every 4 h for each addition). A subsequent pilot scale production in a 5-ton reactor was carried out to check the performance of this method, and a good biodiesel content of 91.4% was obt.
The effects of physical decontamination methods on zirconia implant surfaces: a systematic review

Purpose Peri-implantitis therapy and implant maintenance are fundamental practices to enhance the longevity of zirconia implants. However, the use of physical decontamination methods, including hand instruments, polishing devices, ultrasonic scalers, and laser systems, might damage the implant surfaces. The aim of this systematic review was to evaluate the effects of physical decontamination methods on zirconia implant surfaces. Methods A systematic search was conducted using 5 electronic databases: Ovid MEDLINE, PubMed, Scopus, Web of Science, and Cochrane. Hand searching of the OpenGrey database, reference lists, and 6 selected dental journals was also performed to identify relevant studies satisfying the eligibility criteria. Results Overall, 1049 unique studies were identified, of which 11 studies were deemed suitable for final review. Air-abrasive devices with glycine powder, prophylaxis cups, and ultrasonic scalers with non-metal tips were found to cause minimal to no damage to implant-grade zirconia surfaces. However, hand instruments and ultrasonic scalers with metal tips have the potential to cause major damage to zirconia surfaces. In terms of laser systems, diode lasers appear to be the most promising, as no surface alterations were reported following their use. Conclusion Air-abrasive devices and prophylaxis cups are safe for zirconia implant decontamination due to preservation of the implant surface integrity. In contrast, hand instruments and ultrasonic scalers with metal tips should be used with caution. Recommendations for the use of laser systems could not be fully established due to significant heterogeneity among included studies, but diode lasers may be the best-suited system. Further research—specifically, randomised controlled trials—would further confirm the effects of physical decontamination methods in a clinical setting.
Approximations of quasi and interior hyperfilters in partially ordered LA-semihypergroups

In this paper, we define type-1 quasi-hyperfilters (resp., type-1 strong quasi-hyperfilters, type-2 quasi-hyperfilters, type-2 strong quasi-hyperfilters, interior hyperfilters, strong interior hyperfilters, interior semihyperfilters, strong interior semihyperfilters) of an ordered LA-semihypergroup. We applied rough set theory to quasi and interior hyperfilters in ordered LA-semihypergroups.
Hydrodynamics and Sensitivity Analysis of a Williamson Fluid in Porous-Walled Wavy Channel

: In this work, a steady, incompressible Williamson fluid model is investigated in a porous wavy channel. This situation arises in the reabsorption of useful substances from the glomerular filtrate in the kidney. After 80% reabsorption, urine is left, which behaves like a thinning fluid. The laws of conservation of mass and momentum are used to model the physical problem. The analytical solution of the problem in terms of stream function is obtained by a regular perturbation expansion method. The asymptotic integration method for small wave amplitudes and the RK-Fehlberg method for pressure distribution has been used inside the channel. It is demonstrated that the forward flow becomes fast in the narrow region (at x = 0.75), which dominates the upward flow inside the channel. To study the impact of model parameters on outputs, we applied normalized local sensitivity analysis and noticed that the most influential parameter for the longitudinal velocity profile is the dimensionless wave amplitude. The reabsorption parameter is sensitive for transverse velocity in the narrow region, and the Weissenberg number has a strong effect on the pressure inside the channel. Further, the least sensitive parameters for the velocity components and pressure have been identified.
Corrosion characteristics of 1, 2, 3 benzotriazole for carbon steel in hydrochloric acid solutions

1, 2, 3 Benzotriazole (BTA) is used as corrosion inhibitor for Carbon steel in different concentration of hydrochloric acid medium and at different temperature. Corrosion rate and Percentage Corrosion Inhibition Efficiency (PCIE) was calculated by weight loss method, electrochemical polarization experiments and Impedance spectroscopy techniques. Surface study of corroded and blank specimens was carried out by SEM and Metallurgical research Microscopy techniques. 100, 200, 400, 600, 800 and 1000 ppm of 1, 2, 3 Benzotriazole was tested in different concentration of HCl solution i.e. 2.0, 1.0 and 0.1 N. It was observed that percentage Corrosion inhibition efficiency increases with increase in concentration of corrosion inhibitor. Effect of temperature on percentage corrosion inhibition efficiency was also studied. As the temperature increases, percentage corrosion inhibition efficiency decreases. It was also observed that percentage corrosion inhibition efficiency decreases with dilution of HCl. BTA acts as a good inhibitor for Carbon Steel in different hydrochloric acid medium.
Visualization and Quantification of Broken Wires in Steel Wire Ropes Based on Induction Thermography

Wire ropes (WRs) are widely used in various areas, such as tourist cables, mining, and elevators. Thus, it is very important to detect broken wires (BWs) to prevent safety issues. To guarantee the structural health of WRs, this paper proposes the use of induction thermography (IT) to detect the BWs. An image segmentation algorithm based on scale morphology is proposed to eliminate the background influence of non-uniform heating and visualize the BWs. Further, the area of the BW region, after the image binarization, subtraction, and filtering, is extracted as a feature to quantify the number of BWs. Results show that the proposed methods can effectively visualize and quantify the broken region within 1 BWs.
Mg-Al LDH and Calcined LDH: Green Nanocatalysts for wet peroxide oxidation of phenol in wastewater

The catalytic wet peroxide oxidation (CWPO) of phenol from wastewater using Mg-Al LDH and calcined LDH at 500 oC was investigated. The LDH was synthesized by co-precipitation and characterized by XRD, FTIR, SEM, EDS and BET. XRD result showed that during calcination of LDH at 500 oC, LDH decomposed to the mixed oxide. The SEM images approved Mg-Al LDH comprised of flakes and the calcined LDH comprised of spherical nanoparticles. BET results indicated the specific surface area of 100.2 and 86.3 m2.g-1 for pure LDH and calcined LDH, respectively. The process was optimized by one factor at a time method and considering four process factors i.e. reaction temperature, peroxide dosage, initial phenol concentration, and reaction time. The optimum conditions resulted at initial phenol concentration of 100 ppm, reaction temperature of 60 oC, with peroxide volume of 3 mL and time on stream of 45 min over calcined LDH with maximum 85% removal of phenol. On the pure LDH, the maximum phenol removal (79%) resulted at peroxide volume of 2.5 mL at 55 min. The study concluded that the calcined Mg-Al LDH due to synergistic effect of MgO and Mg-Al mixed oxide showed higher catalytic activity despite a relatively low surface area.
Effects of Poly{CarboxylateвЂ“gвЂ“(Ethylene Glycol)Methyl Ether} on the Physical Properties of Cement Paste

The comb type poly{carboxylateвЂ“gвЂ“(ethylene glycol)methyl ether} (P(CвЂ“gвЂ“E)) copolymers were synthesized at different monomer ratios. The relationship between the synthetic conditions, the molecular weights (Mp, Mn, Mw, Mz and Mw/Mn) and the dispersion ability of these copolymers in cement paste has beenВ established. The molecular weights of P(CвЂ“gвЂ“E)s were analyzed by GPC. The dispersion abilities and theВ dispersion stabilities of P(CвЂ“gвЂ“E)s in cement paste were tested by mini slump testing method. The optimumВ formulation for P(CвЂ“gвЂ“E) synthesis was found to be P23MM 17 mol. %: SMS 10 mol. %: MA 8 mol. %:В SMA 65 mol. %: APS 0.2 mol. %. The key components in P(CвЂ“gвЂ“E) synthetic formulation for cement super-plasticizer are SMA and P23MM. The SMA/P23MM in P(CвЂ“gвЂ“E) synthetic formulation is related to theВ dispersion ability and stability of P(CвЂ“gвЂ“E) in cement paste. The SMA/P23MM in P(CвЂ“gвЂ“E) syntheticВ formulation also influences the molecular weights and the polydispersity of P(CвЂ“gвЂ“E). The optimal range ofВ SMA/P23MM in the formulation as a cement superplasticizer is 3.50~5.50. The dispersion ability of cementВ paste added with the optimum P(CвЂ“gвЂ“E) is increased more 3 times than those of the others.
VALUE CREATION AND CUSTOMER SATISFACTION OF QUICK SERVICE RESTAURANTS IN LAGOS STATE, NIGERIA

The Quick Service Restaurant (QSR) industry is one of the key contributors to the Nigerian economy; providing substantial revenues to government and sizable employment opportunities at the processing and retailing levels. Previous studies in Nigeria investigated customer value from the customer’s perspective but rarely has research sought to achieve both QSRs’ owners/managers and customers’ perspectives in a single study. Despite the increasing popularity of “eating out,” Quick Service Restaurants in Nigeria have shown a negative growth rate, with decline in total income, as it has become increasingly difficult to satisfy modern restaurant customers who seek unique experiences that are more than just consuming food. Hence, this study investigated the effect of value creation on customer satisfaction of Quick Service Restaurants in Lagos State, Nigeria. Cross-sectional survey research design was adopted. The population of the study was 799 owners/managers, accountants and customers of Quick Service Restaurants in Lagos State, Nigeria. A well-structured and validated questionnaire was used for data collection. Cronbach’s Alpha reliability coefficients for the constructs ranged from 0.72 to 0.92. The response rate was 75.8 percent. Data were analysed using descriptive and inferential statistics. Findings revealed that value creation dimensions had no significant effect on customer satisfaction (Adj. R2 = -0.011; F(6,296) = 0.450, p<0.05). The study concluded that value creation had no significant effect on customer satisfaction of Quick Service Restaurants in Lagos State, Nigeria. The study recommends that owners / managers of Quick Service Restaurants (QSRs) in Lagos State, Nigeria should go beyond transactional operations and develop customer relationship management programmes in order to enhance customer satisfaction.
Chapter 4:Non-atomistic Simulations of Ion Channels

Mathematical modeling and numerical simulations are powerful tools for the analysis of the structure–function relation in ion channels. The continuous increase in the number of experimental structures of membrane proteins at high resolution has promoted the development of methods based on full atomistic descriptions of ion channels. However, the computational cost of atomistic simulations is still prohibitively high for a systematic study of conduction in ion channels. This chapter describes simplified models of conductions based on the implicit treatment of solvent molecules. In simplified models of ion channels, only a well-reasoned set of features is explicitly described. Thus, these methods are more than a mere way to increase the computational efficiency. Identifying which features are important, and how they impact on the functional properties, might offer a more profound understanding of the simulated systems. The chapter also discusses how to combine simplified models with atomistic simulations. These multi-scale models are a promising strategy to investigate the structure–function relation in complex biological molecules such as ion channels.
Prevalence of Obesity in A Cohort of Egyptian Rheumatoid Arthritis Patients and Its Implication on Disease Activity

Background: Rheumatoid arthritis (RA) is a systemic autoimmune disease with articular and extra-articular manifestations, several factors can affect disease outcome. Objective: To assess the prevalence of obesity in a cohort of Egyptian rheumatoid arthritis patients and study its relation to disease activity and extra-articular manifestations. Patients and methods: The study included 200 RA patients. Detailed medical history, disease activity score (DAS28), VAS, HAQ, were carefully recorded. High-resolution computed tomography (HRCT) was done and to detect lung affection. BMI was calculated and patients were sub-grouped accordingly into underweight, normal BMI, over-weight and obese patients. Results: Patients were 172 females and 28 males with a mean age of 45.1±14.2 years. According to BMI, 32% of patients were overweight, 35% were obese, 20% with normal BMI and 13% were underweight. Overweight and obese patients were significantly older (p ˂ 0.001), had longer disease duration (p ˂ 0.001), had higher ESR, CRP, DAS, HAQ, VAS (p ˂ 0.001), had more frequent arthritis (p˂0.001), had joint deformity, had rheumatoid nodules (p = 0.007) and ILD (p ˂ 0.001). Conclusion: overweight and obesity were frequent among Egyptian RA patients. It was associated with high disease activity and extra-articular manifestations. In turn, patients’ weight reduction can help in improvement of patients’ outcome and disease activity control.
Voltage collapse point estimation in AC-DC hybrid power systems based on the holomorphic embedding method

This paper proposes a method for voltage collapse point estimation in AC-DC hybrid power systems considering the voltage source converter-based high voltage direct current transmission (VSC-HVDC). Using the proposed holomorphic embedding method (HEM) with physical germ solution, analytical power flow solution of the AC/DC hybrid power system can be calculated without iteration, and it guarantees the convergence if the solution exists. Considering the capacity limit of VSC-HVDC converter, an accurate loading limit at each load bus can be obtained to confirm the voltage collapse point of the AC/DC hybrid system. Additionally, different control modes of the VSC-HVDC system can be adapted for the proposed approach. In this paper, the HEM application is firstly extended to the power flow calculation of AC-DC system containing VSC-HVDC. Case studies on a five-bus test system are implemented in MATLAB in detail to verify the effectiveness of proposed method.