Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship Between Perception of Corporate Reputation and Turnover Intention: Results from Turkey

Abstract In today’s competitive environment, organisations are interested in intangible assets in order to survive, differentiate and gain competitive advantage. One of these intangible assets is corporate reputation, which has a great importance for businesses due to its capacity to influence all stakeholders. Corporate reputation can shape employees’ behaviour and attitudes, who are internal stakeholders. In this study, it is aimed to examine the relationship between private hospital employees’ perception of corporate reputation and their turnover intention. The research was performed between May 2018 and July 2018, and data were collected from employees of a private hospital operating in Turkey. Survey methodology was used to collect data. As a result of the study, it was found that employees’ perception of corporate reputation is high, and their turnover intention level is low. Another finding of the study is that there is a statistically significant, moderate and negative relationship between perception of corporate reputation and turnover intention. When the influence of corporate reputation on employees’ attitudes and behaviours is taken into account, it is recommended that managers should focus on practices that increase employees’ perception of corporate reputation.
Impact of environmental performance on sustainable development: A case study of GCC companies

This paper aims to study the impact of environmental performance on sustainable development. The objective of the study is to examine the causal relationship between environmental performance and sustainable development. Based on a standard model, which includes the variables of environmental performance and development, the type of relationship was determined in a selected sample of the GCC companies during the period between 2012 and 2018. In this context, dynamic panel data models, especially GMM, will be used. The results are expected to show that the level of environmental performance has a positive impact on the level of sustainable development by analyzing the impact of institutional attributes significantly on environmental performance. Finally, we should focus on the determinants of this effect by studying the environmental and social impacts on environmental performance.
Tribochemistry: A Review of Reactive Molecular Dynamics Simulations

Tribochemistry, the study of chemical reactions in tribological interfaces, plays a critical role in determining friction and wear behavior. One method researchers have used to explore tribochemistry is “reactive” molecular dynamics simulation based on empirical models that capture the formation and breaking of chemical bonds. This review summarizes studies that have been performed using reactive molecular dynamics simulations of chemical reactions in sliding contacts. Topics include shear-driven reactions between and within solid surfaces, between solid surfaces and lubricating fluids, and within lubricating fluids. The review concludes with a perspective on the contributions of reactive molecular dynamics simulations to the current understanding of tribochemistry, as well as opportunities for this approach going forward.
Fast Construction of Discrete Geodesic Graphs

This paper develops a new method for constructing Discrete Geodesic Graph (DGG)—an undirected, sparse graph for computing discrete geodesic distances and paths on triangle meshes. Based on a novel accuracy aware window propagation scheme, our method is able to compute the graph edges in a direct and efficient manner. Given a triangle mesh with n vertices and a user-specified accuracy parameter ɛ, our method produces a DGG with O(n\√ɛ) edges in empirical O(n\ɛ0.75 log 1\ɛ) time, which greatly improves the time complexity O(n\ɛ log 1\ɛ) of the existing method. Extensive evaluation on a large-scale 3D shape repository shows that our method is efficient and can produce high-quality geodesic distances with predictable accuracy and guaranteed true distance metric. In particular, our method has a great advantage over the existing approximate methods on meshes with high degree of anisotropy. The source code is available at https://github.com/GeodesicGraph.
Scalpnet: Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Using Convolutional Neural Networks

We propose ScalpNet: A deep neural network to detect spatiotemporal abnormal intervals from EEGs of epilepsy patients. Since the number of trained clinicians is very limited, it is very crucial to establish automatic detection of abnormal signals caused by epilepsy from EEGs. We build a convolutional neural network detecting spatiotemporal intervals that will be abnormal based on the fact that peaky EEG signals can be observed not only in the electrode close to the focal region but those in the surrounding regions. In the experiments with a real dataset, our proposed ScalpNet presents higher classification accuracy than existing machine learning methods, including a convolutional neural network performed by channel-by-channel.
Capacity of the Erasure Shuffling Channel

Motivated by DNA-based data storage, we study the erasure shuffling channel. This channel takes as input multiple strings, which are passed through an erasure channel and then shuffled out of order. We show that the capacity of this channel, for a large set of channel parameters, is given by the capacity of the binary erasure channel, CBEC, minus a term that captures the loss of ordering information due to shuffling.
Effects of 3D-Multiple Object Tracking on Reaction Time Performance in High-Performance Varsity Swimmers

Elite swimming is highly competitive; first place is often determined by only milliseconds. Improving off-the-block reaction time may serve as means to improve overall performance. The current study sought to determine whether repeated three-dimensional multiple object tracking training improves reaction times to auditory cues in high-performance varsity swimmers. Experimental participants (n=15; ages 18-25) were initially assessed for off-the block reaction times, as well as visual reaction times. Experimental participants then completed ten training sessions of three-dimensional multiple object tracking over a five-week period, after which off-the-block and visual reaction times were re-evaluated. Off-the-block reaction times improved in both the experimental and control groups (Ex: W=120, p=0.00072; Con: W=45, p=0.0039), however the improvement observed in the experimental group was significantly greater than that observed in the control group (W=10, p=0.00059). The experimental group also showed significant improvements in the ruler task, a measure of visual reaction time for both their right hand (W=111, p=0.0020) and left hand (W=113, p=0.0012). To our knowledge, this is the first evidence that training visual selective attention can positively affect auditory selective attention in nonvisually dominated sports.
Elements realization of software-algorithmic system optimization of technological processes based on adaptive methods

The paper examines a possibility to optimize complex technological processes of energy resources transfer and consumption. Notes the importance of unidentified and weakly formalized factors consideration, which influence quality of the described object classes functioning. Suggests use of fuzzy neural networks and controllers on their basis for implementation of technological processes optimization of energy resources transfer and consumption at the expense of its dynamic accuracy forecast improvement. Presents algorithmic realization, that later on configured in the MATLAB simulated environment. Quantitative and qualitative parameters, which characterize fuzzy neural controller’s usage quality, were received. Later, software environment elements are being described, which constructed on the basis of the suggested adaptive approach for complex technological processes optimization. Points out a possibility to conduct comparative study, and also simulation modeling implementation by way of presented solutions.
Oxidative damage to plants : antioxidant networks and signaling

With contributions that review research on this topic throughout the world, Oxidative Damage to Plants covers key areas of discovery, from the generation of reactive oxygen species (ROSs), their mechanisms, quenching of these ROSs through enzymatic and non-enzymatic antioxidants, and detailed aspects of such antioxidants as SOD and CAT. Environmental stress is responsible for the generation of oxidative stress, which causes oxidative damage to biomolecules and hence reduces crop yield. To cope up with these problems, scientists have to fully understand the generation of reactive oxygen species, its impact on plants and how plants will be able to withstand these stresses. It provides invaluable information about the role of antioxidants in alleviating oxidative stress. It examines both the negative effects (senescence, impaired photosynthesis and necrosis) and positive effects (crucial role that superoxide plays against invading microbes) of ROS on plants. It features contributors from a variety of regions globally.
Dimension Scaling Effects on Conduction and Low Frequency Noise Characteristics of ITO-Stabilized ZnO Thin Film Transistors

Conduction characteristics and low frequency noises in ITO-stabilized ZnO thin film transistors (TFTs) with constant channel width (<inline-formula> <tex-math notation="LaTeX">$\text{W}= 50\,\,\mu \text{m}$ </tex-math></inline-formula>) and different channel lengths (L=5, 10, 25, 50 and <inline-formula> <tex-math notation="LaTeX">$100~\mu \text{m}$ </tex-math></inline-formula>) are measured and analysis. Firstly, dependences of threshold voltage and field effect mobility on channel length are examined. With decreasing channel length, the threshold voltage shifts to the negative direction which may attribute to carrier diffusion from source/drain to the intrinsic device channel. In addition, significant degradation of field effect mobility is observed in short channel device which are induced by the presence of series contact resistance. The value of contact resistance has also been extracted. Secondly, the drain current noise power spectral densities (<inline-formula> <tex-math notation="LaTeX">$S_{ID}$ </tex-math></inline-formula>) are measured at varied effective gate voltages. The measured noises follow a <inline-formula> <tex-math notation="LaTeX">$1/f^{\gamma }$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> is about −1.1. Moreover, the normalized noises (<inline-formula> <tex-math notation="LaTeX">$S_{ID}/I_{ds}$ </tex-math></inline-formula>) are dependent linearly on the inverse of channel length and the slope is about −0.75. Finally, the dominant mechanism of low frequency noise in ITO-stabilized ZnO thin film transistor are examined. The slope of normalized noise against effective gate voltage are extracted, which are varied from −1.03 to −1.84 with decreasing channel length and thus it indicates that ITO-stabilized ZnO TFTs varied from bulk dominated devices to interface dominated devices. By using of <inline-formula> <tex-math notation="LaTeX">$\Delta N$ </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">$\Delta \mu $ </tex-math></inline-formula> model, the normalized noises are simulated by considering of contact resistance. Several noise parameters (flat-band voltage noise spectral density, etc) are extracted and analysis.
Democratic transition, political risk, economic instability, and tourist inflows: The case of Tunisia

This article assesses the effect of the political risk and economic instability on the tourist arrivals in Tunisia using various wavelet methods. Our findings reveal a substantial effect of political risk over the short and medium terms, while the risk of economic effect is more perceptible over the long run. These outcomes are robust when using standard time series modeling. Terrorist incidents and political uneasiness increase the perception of risk and affect the tourism inflows over the short run. Governments are invited to indorse security and tourism safety because if not, the tourism demand will impede the economic growth over the long run.
A Survey on One-shot Neural Architecture Search

Complex deep neural network architecture such as AlexNet has great success in image classification, natural language processing and other applications. The choice of network architecture has proven to be critical. And researchers begin to design more and more complex networks in order to obtain better performance. However, designing complex networks manually often consumes a lot of computing resources and time, so the automated Neural Architecture Search(NAS) has attracted more and more attention in recent years. Currently, NAS have shown great potential in designing new architectures with high performance and high efficiency. Thus, first of all, this paper briefly introduces the development context and different directions of NAS. But compared to other NAS surveys, this paper focuses on One-shot-NAS methods. Among different methods of NAS, One-shot-NAS can achieve better performance in less time. Through comprehensive comparison and analysis, we apply a novel categorization on One-shot-NAS methods that are based on DAG, Hypernetwork, and network transformation respectively.
Towards a Digital Sensorial Archaeology as an Experiment in Distant Viewing of the Trade in Human Remains on Instagram

It is possible to purchase human remains via Instagram. We present an experiment using computer vision and automated annotation of over ten thousand photographs from Instagram, connected with the buying and selling of human remains, in order to develop a distant view of the sensory affect of these photos: What macroscopic patterns exist, and how do these relate to the self-presentation of these individual vendors? Using Microsoft’s Azure cloud computing and machine learning services, we annotate and then visualize the co-occurrence of tags as a series of networks, giving us that macroscopic view. Vendors are clearly trying to mimic ‘museum’-like experiences, with differing degrees of effectiveness. This approach may therefore be useful for even larger-scale investigations of this trade beyond this single social media platform.
A Novel Approach for Intelligibility Assessment in Dysarthric Subjects

Dysarthria is a motor speech impairment caused by muscle weakness. Individuals, with this condition, are unable to control rapid movement of the velum leading to reduction in intelligibility, audibility, naturalness and efficiency of vocal communication. Systems that can assess intelligibility of dysarthric speech can help clinicians diagnose the impact of therapy and medication. In the paper, we propose a usable novel method to assess intelligibility of dysarthric speakers. The approach is based on the observation that the performance of a speech recognition engine deteriorates with increase in severity of the disorder. The mismatch between the original word and the recognized string is exploited to compute the dysarthria intelligibility score. Experiments on UA speech corpus show that the computed intelligibility score exhibits a significant correlation with perceptually assessed intelligibility scores. We further show that a small set of words spoken by the dysarthric subject is sufficient to assess the speech intelligibility reliably.
Micro-Hotspots for Conservation: An Umbrella Tree Species for the Unique Socotran Reptile Fauna

Umbrella species are defined as species that can be rare and sensitive to human disturbance, whose protection may confer the protection of other co-occurring species. The dragon’s blood tree Dracaena cinnabari Balf.f. was already considered an umbrella species on Socotra Island (Indic Ocean, Yemen) due to its ecological importance for some native biota. We studied the reptile community living on D. cinnabari from Socotra Island. We sampled reptiles on trees across most D. cinnabari populations and applied co-occurrence and network partition analyses to check if the presence of reptiles on D. cinnabari populations was random or structured. Regardless of its patched and scarce actual distribution, we report the use of this tree as a habitat by more than half of the reptile community (12 endemic reptiles). Co-occurrence and network partition analyses demonstrate that this community is structured across the distribution of dragon’s blood trees, reflecting complex allopatric, vicariant, and biotic interaction processes. Hence, these trees act as micro-hotspots for reptiles, that is, as areas where endemic and rare species that are under threat at the landscape scale co-occur. This Socotra endemic tree is currently threatened by overgrazing, overmaturity, and climate change. Its protection and declaration as an umbrella species are expected to benefit the reptile community and to protect evolutionary processes that are partially driven by the ecological links between reptiles and this tree. To our knowledge, no tree species has been proposed as an umbrella species for island vertebrate endemics so far, highlighting the ecological uniqueness of Socotra Island.
Alternative Splicing in the Nuclear Receptor Superfamily Expands Gene Function to Refine Endo-Xenobiotic Metabolism

The human genome encodes 48 nuclear receptor (NR) genes, whose translated products transform chemical signals from endo-xenobiotics into pleotropic RNA transcriptional profiles that refine drug metabolism. This review describes the remarkable diversification of the 48 human NR genes, which are potentially processed into over 1000 distinct mRNA transcripts by alternative splicing (AS). The average human NR expresses ∼21 transcripts per gene and is associated with ∼7000 single nucleotide polymorphisms (SNPs). However, the rate of SNP accumulation does not appear to drive the AS process, highlighting the resilience of NR genes to mutation. Here we summarize the altered tissue distribution/function of well characterized NR splice variants associated with human disease. We also describe a cassette exon visualization pictograph methodology for illustrating the location of modular, cassette exons in genes, which can be skipped in-frame, to facilitate the study of their functional relevance to both drug metabolism and NR evolution. We find cassette exons associated with all of the functional domains of NR genes including the DNA and ligand binding domains. The matrix of inclusion or exclusion for functional domain-encoding cassette exons is extensive and capable of significant alterations in cellular phenotypes that modulate endo-xenobiotic metabolism. Exon inclusion options are differentially distributed across NR subfamilies, suggesting group-specific conservation of resilient functionalities. A deeper understanding of this transcriptional plasticity expands our understanding of how chemical signals are refined and mediated by NR genes. This expanded view of the NR transcriptome informs new models of chemical toxicity, disease diagnostics, and precision-based approaches to personalized medicine. SIGNIFICANCE STATEMENT This review explores the impact of alternative splicing (AS) on the human nuclear receptor (NR) superfamily and highlights the dramatic expansion of more than 1000 potential transcript variants from 48 individual genes. Xenobiotics are increasingly recognized for their ability to perturb gene splicing events, and here we explore the differential sensitivity of NR genes to AS and chemical exposure. Using the cassette exon visualization pictograph methodology, we have documented the conservation of splice-sensitive, modular, cassette exon domains among the 48 human NR genes, and we discuss how their differential expression profiles may augment cellular resilience to oxidative stress and fine-tune adaptive, metabolic responses to endo-xenobiotic exposure.
Role of some game species and Ixodes ricinus ticks in the propagation of Anaplasma phagocytophilum in a forest biotope in North-Western Poland.

The aim of this study was to examine the participation of roe deer, red deer, wild boar, and sheep Ixodes ricinus ticks from the Puszcza Wkrzanska Forest in Anaplasma phagocytophilum developmental cycle. Detection of A. phagocytophilum DNA was carried out on tissues collected from game animals, ticks infecting them, and ticks collected from vegetation in the hunting area, using a set of primers enabling the amplification of the 334 base pairs fragment of msp2 gene. 42.4% of the shot roe deer (25/59) were infected by I. ricinus ticks, as well as 30% (6/20) of red deer and 4.8% (1/21) of wild boars. A. phagocytophilum DNA was detected in tissues of 45.8% (27/59) of the sampled roe deer, 65% (13/20) red deer, and 4.8% (1/21) wild boar, and in 11.6% of the ticks infecting roe deer (12/103), in 5% (1/20) of the ticks infecting red deer, and in 5.5% (11/200) of the ticks collected from the vegetation in the area. The results suggest that roe and red deer are probable reservoirs of A. phagocytophilum, while the wild boar plays little or no role in the propagation of this parasite.
Effect of a horticultural mineral oil on oviposition by two-spotted mite Tetranychus urticae Koch (Acari: Tetranychidae)

The impact of spray deposits of an nC24 horticultural mineral oil on two-spotted mite oviposition on French bean leaf discs was evaluated under laboratory conditions. An unsprayed control was compared with 25, 50, 100 and 150 μg cm deposits of oil sprays applied with a Potter spray tower. One day after adult female mites were placed on untreated and treated leaf discs significantly fewer eggs were recorded on discs treated with 100 and 150 μg cm deposits. Significant differences between all oil treatments and the untreated control were found 2 d and 6 d after females were placed on the discs, and the number of eggs laid on oil treated discs fell as the concentration of oil in sprays increased. The relationship between the number of eggs per leaf disc and oil concentration on day 6 was a typical negative exponential.
A Distributed Indoor Mapping Method Based on Control-Network-Aided SLAM: Scheme and Analysis

Indoor mobile mapping techniques are important for indoor navigation and indoor modeling. As an efficient method, Simultaneous Localization and Mapping (SLAM) based on Light Detection and Ranging (LiDAR) has been applied for fast indoor mobile mapping. It can quickly construct high-precision indoor maps in a certain small region. However, with the expansion of the mapping area, SLAM-based mapping methods face many difficulties, such as loop closure detection, large amounts of calculation, large memory occupation, and limited mapping precision. In this paper, we propose a distributed indoor mapping scheme based on control-network-aided SLAM to solve the problem of mapping for large-scale environments. Its effectiveness is analyzed from the relative accuracy and absolute accuracy of the mapping results. The experimental results show that the relative accuracy can reach 0.08 m, an improvement of 49.8% compared to the mapping result without loop closure. The absolute accuracy can reach 0.13 m, which proves the method’s feasibility for distributed mapping. The accuracies under different numbers of control points are also compared to find the suitable structure of the control network.