Miracle-dz/UniFAR-FTUs huggingface dataset:
Private Sector Emiratisation: Evaluating the Policies and Practices Designed to Achieve Abu Dhabi’s Strategic HRM Goal

The purpo of thi tudy i two-fold : firstly, to gauge the job satisfaction levels of E nationals employed in the private sector and secondly to consider the HRM pol ic ie and procedure mo t l ike ly to attract and retain such individuals. The i ssue is of contemporar importance because the UAE has a fast growing population, an already 0 erstaffed publ ic sector and, a labour nationalisation program that has yet to ha e a signi ficant impact on the ratio of nationals employed in the private sector vis­ ai the c lassic publ ic sector. Using a combination of employee survey and expert interview feedback this study provides a pol icy-orientated analysis of the current state of pri ate sector Emirati sation and makes a signi ficant contribution to the emerging Arab M iddle Ea t H R Model by suggesting ways in which UAE HR pol icies and trategies may be enhanced. I f the compensation and benefits disparity between the two ectors be min imised, the majority of Emiratis would be wi l l ing to work in the pri ate sector. The factors that can influence the employment decision inc lude Salary and Fringe Benefits, opportunities for growth along with training and development, a friendly and professional working environment that offers job security and final ly the ocial perceptions. This research can be helpful in understanding what incentives and measures can be useful and effective for the operational implementation of the Emirati sation proces . The analysis can help in identi fication and prioritisation of i ssues that are impacting the pace of implementation of Emiratisation process. This study finds a number of statistical l y significant relationships between the dependent variable of "continuance intentions" and various predictor variables: � . 399 for pay and benefits; � . 1 63 for professional development opportunities; � . 072 for the nature of the job; the impact of sociocultu ral influences was found to have a sign ificant and negative relationship, � . 423 . The study concludes by making a number of pol icy­ relevant recommendations focusing on HRD at the macro level and H RM pol icies and procedures at the company leve l .
Patient and provider experiences with virtual care during the COVID-19 pandemic: A mixed methods study

The COVID-19 pandemic prompted the rapid uptake of Virtual Care (VC). Positive patient outcomes with VC are previously reported but little is known about the experiences of patients and providers using VC during the pandemic. We aimed to describe patient and primary care provider experiences, satisfaction, perceptions, and attitudes to VC during the COVID-19 pandemic that might explain adoption of VC across the continuum of care and inform sustained uptake. We conducted a sequential explanatory mixed methods study using online surveys and virtual interviews with a convenience sample of primary care providers and patients in a Canadian province (July – December 2020). Eligible participants included patients and primary care providers using VC during the COVID-19 pandemic. Survey responses and interviews were analyzed using descriptive statistics and thematic analysis, respectively. Overall satisfaction was compared using the Mann-Whitney U test. Eighty-five patients and 94 primary care providers responded to the surveys. Patients reported higher overall satisfaction with VC than primary care providers (median [interquartile range]: 4.4 [4.0-4.7] and 3.7 [3.4-3.9] p < 0.001). Ten patients and 11 primary care providers were interviewed. Both groups strongly appreciated VC’s increased access and convenience, identified the lack of compensation as a pre-pandemic barrier to providing VC, and reported willingness to continue VC post-COVID-19 pandemic. The COVID-19 pandemic provided an opportunity for patients and primary care providers to rapidly adopt VC with high satisfaction. Patients and primary care providers viewed VC positively due to its convenience and accessibility;both intend to continue using VC post-pandemic. © The Author(s), 2022.
Bibliometric analysis of production planning and control (1990–2016)

Abstract Production Planning and Control (PPC) has been one of the primary publishing outlets for operations management research for nearly three decades. This paper presents bibliometric analysis of the journal from its inception through 2016. PPC was analysed from six different perspectives to provide reliable and in-depth information about the journal’s performance and development. The analysis considered the development of the journal itself, the countries of contributing authors, authors’ academic and practitioner organisation affiliations, the top publishing and most cited authors, the most cited articles, and finally the topics of published papers through analysis of titles, keywords and abstracts. It was found that the journal is considered an outlet for both practice and academic research, reflecting changes over time in the landscape of operations management.
“It’s just totally lawless out here”: A rural green criminological ex- “It’s just totally lawless out here”: A rural green criminological exploration of foxhunting, policing, and ‘regulatory capture’ ploration of foxhunting, policing, and ‘regulatory capture’

: Despite having been banned by the Hunting Act (2004), and widespread public opposition, the practice of fox hunting with hounds still persists on a significant scale (Agerholm, 2019). Neverthe less, fox hunting remains a relatively understudied topic within criminological research, potentially as a result of it being an example of both rural and green crime, each of which have been traditional ly marginalised in mainstream criminology (Donnermeyer & DeKeseredy, 2014). In an effort to par tially redress this, this paper applies the concept of ‘regulatory capture’ to the case of fox hunting, in order to explore the policing of fox hunting through a rural green criminological lens. Drawing on 43 qualitative interviews and freedom of information requests to police forces, the paper critically examines the policing of fox hunting in rural England and Wales. The concept of ‘regulatory cap ture’ is useful in identifying “the process through which special interests affects state intervention in any of its forms” (Dal Bo, 2006, p. 203). We examine three related themes that were identified within the data. These are: the influence of industry; offenders as informers; and police who hunt. Whilst further research is needed to confirm it, we argue that regulatory capture might provide one compelling potential explanation for police reluctance to address wildlife crimes like fox hunting.
Detailed Design and Aerodynamic Performance Analysis of a Radial-Inflow Turbine

Radial-inflow turbines (RI turbines) are critical components of air cycle machines (ACM), utilized in environment conditioning systems (ECS). In this work, a process is presented for the full design of a radial-inflow turbine, including volute, nozzle blade row and rotor blade row. The preliminary and detailed aerodynamic design approaches are explained in detail. A mean-line (1D) analysis method coupled with the preliminary design is employed to evaluate the aerodynamic performance of the RI turbine. Then, ANSYS CFX is used to perform unsteady 3D simulations of the designed RI turbine at design and off-design conditions to predict the aerodynamic performance of the turbine for future optimization.
Turning the Table: Using Reverse Engineering Techniques to Detect FPGA Trojans

According to recent reports [1]-[3], FPGAs have increasingly become the prime targets for carrying out extremely sophisticated cyber-attacks. Reconfigurability, a core feature of FPGAs, which allow modular designs to be mapped, consequently makes them vulnerable, since it allows intruders to gain control of the hardware during run-time for Trojan insertion. In most cases, the attackers start with reverse engineering a reference hardware design before Trojan insertion. In this paper, we turn the tables and utilize bitstream reverse engineering for Trojan detection. Our approach is bottom-up: it starts with bitstream inspection, FPGA component identification from the layout and follows up with identification of malicious configurations. Due to this bottom-up approach, any stealthy malicious circuit can be detected, which is very hard to do through conventional design analysis methods [16] . We leverage open-source tools, publicly available datasets and vendor provided tools. The method is generic and can be applied to a wide range of FPGAs. An example of Trojan detection is shown for Xilinx Virtex5 VLX50T FPGA. Once the reference database is created, the Trojan detection is very fast, takes less than a minute on a general-purpose Intel Core i5 processor-based computer. The proposed Trojan detection approach is, to the best of our knowledge during publication, the only open-source, software-based, low-cost alternative to time consuming design re-construction and analysis based approaches. It can be applied at the customer end without requiring any hardware alteration/IP updates from FPGA vendors.
Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

The success of intelligent fault diagnosis of machines relies on the following two conditions: 1) labeled data with fault information are available; and 2) the training and testing data are drawn from the same probability distribution. However, for some machines, it is difficult to obtain massive labeled data. Moreover, even though labeled data can be obtained from some machines, the intelligent fault diagnosis method trained with such labeled data possibly fails in classifying unlabeled data acquired from the other machines due to data distribution discrepancy. These problems limit the successful applications of intelligent fault diagnosis of machines with unlabeled data. As a potential tool, transfer learning adapts a model trained in a source domain to its application in a target domain. Based on the transfer learning, we propose a new intelligent method named deep convolutional transfer learning network (DCTLN). A DCTLN consists of two modules: condition recognition and domain adaptation. The condition recognition module is constructed by a one-dimensional (1-D) convolutional neural network (CNN) to automatically learn features and recognize health conditions of machines. The domain adaptation module facilitates the 1-D CNN to learn domain-invariant features by maximizing domain recognition errors and minimizing the probability distribution distance. The effectiveness of the proposed method is verified using six transfer fault diagnosis experiments.
BV Photometry for the ∼2.5 Gyr Open Cluster NGC 6819: More Evidence for Convective Core Overshooting on the Main Sequence

New BV photometry is presented for the populous, intermediate-age open cluster NGC 6819. From ∼4 mag below the turnoff to ∼2 mag above the red giant clump, the cluster's color-magnitude diagram is well defined. Of particular note is the fact that the bright end of the main-sequence distribution exhibits a pronounced curvature to the red. This morphology can be matched by theoretical stellar models only if a significant amount of convective core overshooting is assumed. Indeed, canonical, nonovershooting calculations fail by a wide margin to explain the observations. Comparisons with up-to-date evolutionary tracks, isochrones, and zero-age horizontal-branch loci for [Fe/H] = 0.0 and -0.10 indicate that the [Fe/H] ≈ -0.05 cluster has (m - M)V = 12.35, E(B - V) = 0.16, and an age near 2.4 Gyr. The existence of several clump stars that appear to be appreciably more massive than the turnoff stars is noted: we suggest that they are the descendants of blue stragglers, given that NGC 6819 has a confirmed blue straggler population.
Comprehensive vibration generation model of transformer winding under load current

This study proposes a comprehensive model to investigate winding vibration characteristics. The radial vibration model is firstly established based on the Euler–Bernoulli beam theory, and the radial acceleration is found to be the second derivative of deflection under the quasi-static load. The fluid-loading effect of oil on winding vibration is then investigated through experimental modal analysis and finite element method. This effect leads to the decrease of natural frequencies and the increase of damping ratios. The harmonic response of axial winding vibration at 100 Hz shows the symmetry distribution that vibration on the one quarter and three-quarters of the winding height are larger than other positions. The radial acceleration is not affected by the clamping pressure, whereas the axial acceleration is in a reciprocal relationship with it.
Auditory brainstem development of naked mole-rats (Heterocephalus glaber)

Life underground often leads to animals having specialized auditory systems to accommodate the constraints of acoustic transmission in tunnels. Despite living underground, naked mole-rats use a highly vocal communication system, implying that they rely on central auditory processing. However, little is known about these animals' central auditory system, and whether it follows a similar developmental time course as other rodents. Naked mole-rats show slowed development in the hippocampus suggesting they have altered brain development compared to other rodents. Here, we measured morphological characteristics and voltage-gated potassium channel Kv3.3 expression and protein levels at different key developmental time points (postnatal days 9, 14, 21 and adulthood) to determine whether the auditory brainstem (lateral superior olive and medial nucleus of the trapezoid body) develops similarly to two common auditory rodent model species: gerbils and mice. Additionally, we measured the hearing onset of naked mole-rats using auditory brainstem response recordings at the same developmental timepoints. In contrast with other work in naked mole-rats showing that they are highly divergent in many aspects of their physiology, we show that naked mole-rats have a similar hearing onset, between postnatal day (P) 9 and P14, to many other rodents. On the other hand, we show some developmental differences, such as a unique morphology and Kv3.3 protein levels in the brainstem.
Temperate and tropical lizards are vulnerable to climate warming due to increased water loss and heat stress

Climate warming has imposed profound impacts on species globally. Understanding the vulnerabilities of species from different latitudinal regions to warming climates is critical for biological conservation. Using five species of Takydromus lizards as a study system, we quantified physiological and life-history responses and geography range change across latitudes under climate warming. Using integrated biophysical models and hybrid species distribution models, we found: (i) thermal safety margin is larger at high latitudes and is predicted to decrease under climate warming for lizards at all latitudes; (ii) climate warming will speed up embryonic development and increase annual activity time of adult lizards, but will exacerbate water loss of adults across all latitudes; and (iii) species across latitudes are predicted to experience habitat contraction under climate warming due to different limitations—tropical and subtropical species are vulnerable due to increased extremely high temperatures, whereas temperate species are vulnerable due to both extremely high temperatures and increased water loss. This study provides a comprehensive understanding of the vulnerability of species from different latitudinal regions to climate warming in ectotherms, and also highlights the importance of integrating environmental factors, behaviour, physiology and life-history responses in predicting the risk of species to climate warming.
ON THE BLOCKWISE BOOTSTRAP FOR EMPIRICAL PROCESSES FOR STATIONARY SEQUENCES

In this paper, we study the weak convergence to an appropriate Gaussian process of the empirical process of the block-based bootstrap estimator proposed by K ¨ unsch for stationary sequences. The classes of processes investigated are weak dependent and associated sequences. We also prove that, differently from the independent situation, the bootstrapped estimator of the mean of certain dependent sequences satisfies the central limit theorem while the mean of the original sequence does not.
Effects of Various Anticoagulants on Biochemistry Analytes From Domestic Pigeons (Columba livia domestica)

Abstract: The objective of this study was to compare the effects of anticoagulant and no anticoagulant on routine biochemical analytes in domestic pigeons (Columba livia domestica). Blood samples were obtained from 8 clinically healthy pigeons. The sample obtained from each bird was divided into 4 blood collection tubes containing either ethylenediaminetetraacetic acid (EDTA), lithium heparin, sodium citrate, or no anticoagulant. The concentrations of creatinine, uric acid, triglyceride, total cholesterol, glucose, phosphorus, calcium, magnesium, total protein, albumin, and iron, and the activities of alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST), were measured in blood from each of the blood collection tubes. The values of the measured parameters, with the exception of iron, were significantly lower in the citrated plasma samples compared with the serum samples, even after correcting for dilution. In the lithium heparin plasma samples, significant decreases in albumin, triglyceride, calcium, total cholesterol, and ALP, and a significant increase in iron, were observed compared with the values in the serum samples. The concentrations of total protein, creatinine, glucose, total cholesterol, triglyceride, magnesium, calcium, and phosphorus, as well as the activities for AST and ALP, were significantly lower in the EDTA plasma samples compared with the serum samples. In conclusion, the anticoagulants had significant effects on most of the measured parameters compared with serum. The findings of the present study suggest that a lithium heparin sample is the most appropriate plasma sample for the measurement of blood biochemical parameters in the domestic pigeon.
Journal Pre-proof Factors associated with reduced anti-SARS-CoV-2 antibody responses after mRNA vaccination in kidney transplant recipients on belatacept

is a co-stimulation blocker used for maintenance immunosuppression in kidney transplant recipients (KTRs) as an alternative to calcineurin inhibitors. (1) Studies evaluating severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) vaccine responses in KTRs have shown reduced antibody responses in KTRs on belatacept. (2–4) However, many of these studies included only a small number of patients on belatacept,(5) and had low rates of seroconversion, limiting the ability to evaluate factors associated with the development of antibody responses. (3,4) As a result, factors associated with lower odds of developing antibody responses in KTRs on belatacept are not known.
Effect of driving duration on EEG fluctuations

Road accidents are a major issue in Indonesia, and their number increases every year. Based on previous studies, mental fatigue is one of the biggest factors leading to road accidents and is majorly affected by mental workload. Driving duration is one of the factors that triggers mental fatigue. The prior literature cites electroencephalogram (EEG) measurement as the gold standard for measuring fatigue. However, there has been only limited study to examine the EEG indicators that are affected by driving duration, and the prior research still contains disagreements regarding the best EEG parameter for use in measuring fatigue. Therefore, this study aimed to evaluate the effect of driving duration on EEG fluctuation and determine the best EEG parameter related to fatigue. Seven participants were asked to spend three hours driving in a medium-fidelity simulator. A one-way ANOVA and correlation analysis were performed to measure the effect of driving duration on the EEG indicators and determine the correlation of the indicators. A Receiver Operating Characteristics (ROC) curve was also utilized to determine the variable with the greatest correlation with the subjective sleepiness indices. The results showed that at the end of three hours’ driving, there was an increment in delta and theta activities, followed by a decrement in alpha and beta activities. In addition, the correlation of all bands was significant, with positive results for the alpha-beta and theta-delta bands, and a negative result in relation to each other. Furthermore, the results from the ROC curve revealed the Relative Power Ratio (RPR) of theta, the RPR of alpha, and the ratio of θ/α+β to be the best indicators among others, demonstrating a high degree of accuracy (above 85%).
Overview obstacle maps for obstacle‐aware navigation of autonomous drones

Achieving the autonomous deployment of aerial robots in unknown outdoor environments using only onboard computation is a challenging task. In this study, we have developed a solution to demonstrate the feasibility of autonomously deploying drones in unknown outdoor environments, with the main capability of providing an obstacle map of the area of interest in a short period of time. We focus on use cases where no obstacle maps are available beforehand, for instance, in search and rescue scenarios, and on increasing the autonomy of drones in such situations. Our vision‐based mapping approach consists of two separate steps. First, the drone performs an overview flight at a safe altitude acquiring overlapping nadir images, while creating a high‐quality sparse map of the environment by using a state‐of‐the‐art photogrammetry method. Second, this map is georeferenced, densified by fitting a mesh model and converted into an Octomap obstacle map, which can be continuously updated while performing a task of interest near the ground or in the vicinity of objects. The generation of the overview obstacle map is performed in almost real time on the onboard computer of the drone, a map of size 100 m × 75 m is created in ≈ 2.75 min , therefore, with enough time remaining for the drone to execute other tasks inside the area of interest during the same flight. We evaluate quantitatively the accuracy of the acquired map and the characteristics of the planned trajectories. We further demonstrate experimentally the safe navigation of the drone in an area mapped with our proposed approach.
Parameters Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification

This paper focuses on the visible-thermal cross-modality person re-identification (VT Re-ID) task, whose goal is to match person images between the daytime visible modality and the nighttime thermal modality. The two-stream network is usually adopted to address the cross-modality discrepancy, the most challenging problem for VT Re-ID, by learning the multi-modality person features. In this paper, we explore how many parameters of two-stream network should share, which is still not well investigated in the existing literature. By well splitting the ResNet50 model to construct the modality-specific feature extracting network and modality-sharing feature embedding network, we experimentally demonstrate the effect of parameters sharing of two-stream network for VT Re-ID. Moreover, in the framework of part-level person feature learning, we propose the hetero-center based triplet loss to relax the strict constraint of traditional triplet loss through replacing the comparison of anchor to all the other samples by anchor center to all the other centers. With the extremely simple means, the proposed method can significantly improve the VT Re-ID performance. The experimental results on two datasets show that our proposed method distinctly outperforms the state-of-the-art methods by large margins, especially on RegDB dataset achieving superior performance, rank1/mAP/mINP 91.05%/83.28%/68.84%. It can be a new baseline for VT Re-ID, with simple but effective strategy.