Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing cyber physical system security via anomaly detection using behaviour analysis

Cyber physical systems (CPS) are process control systems interacting with the cyber world. Once connected to the internet, they become prone to attacks and attackers can easily modify the data by tampering the data while passing through the network. Attacks on CPS may not only have financial impacts but also can be a threat to human lives involved. Thus, security of Cyber Physical System is essential. This paper proposes a concept for enhancing security of the Cyber Physical System through an anomaly detection system using behaviour analysis. The proposed system uses Kalman Filter, knowledge base and comparator model. Kalman filter will be used to predict estimated states. Knowledge base will be first trained using simulated data of the system including faulty data. Once the filter is tested and knowledge base is trained, real time data will be passed through the prediction system and the predicted estimates will be compared with the data stored in knowledge base using comparator to detect anomalies. On detection of abnormal data, they will then be further identified as faults or attacks.
The Diffusion of HRM Practices in East Asia : Chinese Workers in Multinational Retail Firms from Japan

Research on the diffusion of organisational practices in multinational enterprises has focussed largely on manufacturing firms in economically developed countries. This paper explores the transfer of human resource management and customer service practices to China by Japanese multinational retail firms. Such firms face competing pressures, the imperative and potential advantages of implementing the default position of taken-for-granted, well tried parent country practices are set against the necessity to gain legitimacy in host environments and to meet the needs and expectations not only of local employees but also customers. The findings highlight the complexity of transfer and indicate that local labour markets constitute a greater barrier to diffusion than cultural differences between multinationals’ parent and host countries.
Self-Reported ADHD and Adult Health in the United States

Objective: Informed by a social determinants of health framework, we investigate the relationship between self-reported ADHD diagnosis status and adult health, and whether observed associations are attenuated by biomedical and socioeconomic factors. Method: Using 2007 National Health Interview Survey data (N = 19,104), we present multivariate logistic regression analyses of associations between self-reported ADHD diagnosis status and five adult health outcomes. Results: ADHD diagnosis was significantly associated with higher odds of injury, physical health conditions, functional limitations, fair/poor health, and psychological distress in fully specified models (adjusted odds ratios [AORs] = 1.62-2.36). Inclusion of controls for exogenous demographic characteristics, psychiatric comorbidities and health behaviors, and adult social and economic statuses attenuated but did not eliminate observed associations between ADHD and poorer adult health. Conclusion: Research on adult health outcomes for those with ADHD should include consideration of the mechanisms by which a diagnosis of ADHD leads to cumulative social disadvantages that independently contribute to poorer health outcomes.
Histopathology of IgG4-Related Autoimmune Hepatitis and IgG4-Related Hepatopathy in IgG4-Related Disease

Abstract Immunoglobulin G4-related disease (IgG4-RD) is a systemic disease involving many organs; it includes IgG4-related sclerosing cholangitis and inflammatory pseudotumor in the hepatobiliary system. Two types of hepatic parenchymal involvement have been reported in IgG4-RD: IgG4-related autoimmune hepatitis (AIH) and IgG4-hepatopathy. Moreover, only three cases of IgG4-related AIH have been reported. Immunoglobulin G4–related AIH is clinicopathologically similar to AIH, except for an elevated serum IgG4 level and heavy infiltration of IgG4-positive plasma cells in the liver tissue. Interestingly, IgG4-related AIH can be complicated by well-known IgG4-RD(s). Immunoglobulin G4-hepatopathy, which includes various histopathological lesions encountered in the liver of patients with type I autoimmune pancreatitis, is classified into five histological categories: portal inflammation, large bile duct damage, portal sclerosis, lobular hepatitis, and cholestasis. Immunoglobulin G4-hepatopathy is currently a collective term covering hepatic lesions primarily or secondarily related to IgG4-related sclerosing cholangitis and type 1 autoimmune pancreatitis. In conclusion, the liver is not immune to IgG4-RD, and at least two types of hepatic involvement in IgG4-RD have been reported: IgG4-related AIH and IgG4-hepatopathy. Additional studies are required to clarify their precise clinical significance with respect to IgG4-RD and inherent liver diseases.
Decrease in the Photosynthetic Performance of Temperate Grassland Species Does Not Lead to a Decline in the Gross Primary Production of the Ecosystem

Plants, under stressful conditions, can proceed to photosynthetic adjustments in order to acclimatize and alleviate the detrimental impacts on the photosynthetic apparatus. However, it is currently unclear how adjustment of photosynthetic processes under environmental constraints by plants influences CO2 gas exchange at the ecosystem-scale. Over a 2-year period, photosynthetic performance of a temperate grassland ecosystem was characterized by conducting frequent chlorophyll fluorescence (ChlF) measurements on three primary grassland species (Lolium perenne L., Taraxacum sp., and Trifolium repens L.). Ecosystem photosynthetic performance was estimated from measurements performed on the three dominant grassland species weighed based on their relative abundance. In addition, monitoring CO2 fluxes was performed by eddy covariance. The highest decrease in photosynthetic performance was detected in summer, when environmental constraints were combined. Dicot species (Taraxacum sp. and T. repens) presented the strongest capacity to up-regulate PSI and exhibited the highest electron transport efficiency under stressful environmental conditions compared with L. perenne. The decline in ecosystem photosynthetic performance did not lead to a reduction in gross primary productivity, likely because increased light energy was available under these conditions. The carbon amounts fixed at light saturation were not influenced by alterations in photosynthetic processes, suggesting photosynthesis was not impaired. Decreased photosynthetic performance was associated with high respiration flux, but both were influenced by temperature. Our study revealed variation in photosynthetic performance of a grassland ecosystem responded to environmental constraints, but alterations in photosynthetic processes appeared to exhibit a negligible influence on ecosystem CO2 fluxes.
Clustering of temperamental and cognitive risk factors for anxiety in a college sample of late adolescents

Abstract Temperamental vulnerabilities (e.g., behavioral inhibition, anxiety sensitivity) and cognitive biases (e.g., interpretive and judgment biases) may exacerbate feelings of stress and anxiety, particularly among late adolescents during the early years of college. The goal of the present study was to apply person-centered analyses to explore possible heterogeneity in the patterns of these four risk factors in late adolescence, and to examine associations with several anxiety outcomes (i.e., worry, anxiety symptoms, and trait anxiety). Cluster analyses in a college sample of 855 late adolescents revealed a Low-Risk group, along with four reliable clusters with distinct profiles of risk factors and anxiety outcomes (Inhibited, Sensitive, Cognitively-Biased, and Multi-Risk). Of the risk profiles, Multi-Risk youth experienced the highest levels of anxiety outcomes, whereas Inhibited youth experienced the lowest levels of anxiety outcomes. Sensitive and Cognitively-Biased youth experienced comparable levels of anxiety-related outcomes, despite different constellations of risk factors. Implications for interventions and future research are discussed.
STED nanoscopy of the centrosome linker reveals a CEP68-organized, periodic rootletin network anchored to a C-Nap1 ring at centrioles

Significance The integrity of the centrosome linker that joints both centrosomes of a cell into one microtubule-organizing unit plays important roles in cell organization, chromosome segregation, and cancer development. However, little is known about the structure of the linker. Here, we show by stimulated emission depletion microscopy that the centrosome linker consists of a vast network of repeating rootletin units with a C-Nap1 ring at centrioles as organizer and CEP68 as filament modulator. Rootletin filaments originating from the two centrosomes form a web-like, interdigitating filamentous network, explaining the flexible nature of the centrosome linker and the ability of the kinesin motor Eg5 to disrupt the linker function by force. The centrosome linker proteins C-Nap1, rootletin, and CEP68 connect the two centrosomes of a cell during interphase into one microtubule-organizing center. This coupling is important for cell migration, cilia formation, and timing of mitotic spindle formation. Very little is known about the structure of the centrosome linker. Here, we used stimulated emission depletion (STED) microscopy to show that each C-Nap1 ring at the proximal end of the two centrioles organizes a rootletin ring and, in addition, multiple rootletin/CEP68 fibers. Rootletin/CEP68 fibers originating from the two centrosomes form a web-like, interdigitating network, explaining the flexible nature of the centrosome linker. The rootletin/CEP68 filaments are repetitive and highly ordered. Staggered rootletin molecules (N-to-N and C-to-C) within the filaments are 75 nm apart. Rootletin binds CEP68 via its C-terminal spectrin repeat-containing region in 75-nm intervals. The N-to-C distance of two rootletin molecules is ∼35 to 40 nm, leading to an estimated minimal rootletin length of ∼110 nm. CEP68 is important in forming rootletin filaments that branch off centrioles and to modulate the thickness of rootletin fibers. Thus, the centrosome linker consists of a vast network of repeating rootletin units with C-Nap1 as ring organizer and CEP68 as filament modulator.
Physical Mechanisms for the Variable Spin-down and Light Curve of SGR 1900+14

We consider the physical implications of the rapid spin-down of soft gamma repeater SGR 1900+14 reported by Woods and colleagues in 1999. During an 80 day interval between 1998 June and the large outburst on 1998 August 27, the mean spin-down rate increased by a factor of 2.3, resulting in a positive period offset of ΔP/P = 10-4. A radiation-hydrodynamical outflow associated with the August 27 event could impart the required torque, but only if the dipole magnetic field is stronger than ~1014 G and the outflow lasts longer and/or is more energetic than the observed X-ray flare. A positive period increment is also a natural consequence of a gradual, plastic deformation of the neutron star crust by an intense magnetic field, which forces the neutron superfluid to rotate more slowly than the crust. Sudden unpinning of the neutron vortex lines during the August 27 event would then induce a glitch opposite in sign to those observed in young pulsars, but of a much larger magnitude as a result of the slower rotation. The change in the persistent X-ray light curve following the August 27 event is ascribed to continued particle heating in the active region of that outburst. The enhanced X-ray output can be powered by a steady current flowing through the magnetosphere, induced by the twisting motion of the crust. The long-term rate of spin-down appears to be accelerated with respect to a simple magnetic dipole torque. Accelerated spin-down of a seismically active magnetar will occur when its persistent output of Alfvén waves and particles exceeds its spin-down luminosity or if particle flows modulate the ratio of conduction to displacement currents in the outer magnetosphere. We suggest that SGRs experience some episodes of relative inactivity, with diminished , and that such inactive magnetars are observed as anomalous X-ray pulsars (AXPs). The reappearance of persistent X-ray emission from SGR 1900+14 within one day of the August 27 event provides strong evidence that the persistent emission is not powered by accretion.
Event-triggered distributed H∞ filtering for networked systems with switching topologies

This paper deals with the event-triggered distributed H∞ filtering for a class of networked systems with sensor networks. The topology of the sensor network is supposed to be time-varying. Whether or not a sampled data packet of a sensor node should be transmitted to its neighbors is determined by a predefined event-triggering condition, which closely depends on the variation of the sensor network topology. By modelling the filtering error system as a switched linear system with time-varying delays, a bounded real lemma (BRL) is derived using Lyapunov-Krasovskii functional approach. Based on the BRL, a sufficient condition on the existence of desired H∞ filters is obtained in terms of linear matrix inequalities. An algorithm to the design of both filter parameters and event-triggering parameters is given. It is shown through a numerical example that the proposed method can not only save significantly precious communication resources, and maintain some certain system performance as well.
Group-based truncated l1–2 model for image inpainting

We propose a novel image inpainting model that can effectively estimate missing pixels in an observed image. The latent image is characterized by a group-based low-rank prior, which assumes that a group of vectorized similar image patches can be well approximated by a low-rank matrix. We enforce the low-rankness of each group by penalizing a truncated difference of the l1 and the l2 norms of its singular values, which achieves a close approximation to the matrix rank. We apply a difference of convex algorithm (DCA) to solve the proposed model efficiently. Our method is validated on filling missing blocks and randomly missing pixels, with superior performance over the state-of-the-art.
Relative Ability of Earnings Data and Cash Flow in Predicting Future Cash Flows

The purpose of this study is to examine earnings relative ability, operational cash flow, and two traditional measures of cash flows namely net earnings plus depreciation and operational working capital in predicting future cash flows. Also, the effect of company size on ability of predictive measures mentioned is examined in this study. The population examined includes accepted companies in Tehran Stock Exchange during period from 2005 to 2009. The results indicate that net earnings have more ability than operational cash flows and its traditional proxies in predicting the cash flows future. These findings are consistent with Financial Accounting Standards Board (FASB) claim based on earnings in preference on cash flows in predicting future cash flows.
The Psychometric Properties of the Personality Assessment Inventory–Adolescent’s Borderline Features Scale Across Two High-Risk Samples

The present study sought to assess the performance of the Borderline Features (BOR) Scale of the adolescent version of the Personality Assessment Inventory (Morey, 2007b) in 2 high-risk samples: inpatient and justice-involved adolescents. This study is the first to evaluate the BOR scale in high-risk adolescent samples, outside the initial standardization studies. Across both samples (NClinical = 327, NForensic = 151), results indicated good internal consistency. Confirmatory factor analysis indicated poor fit of the 4-factor structure proposed by the measure’s authors. Convergent validity and receiver-operating characteristics analyses, conducted in the clinical sample, indicated that the adolescent version of the Personality Assessment Inventory BOR scale had good diagnostic accuracy for predicting a borderline personality disorder diagnosis (via structured interview). Findings suggest that the BOR scale has adequate internal consistency, convergent validity, and clinical utility, although areas for future measure evaluation (including factor structure) remain. Still, the BOR scale may partially address the current hesitation to assess borderline personality disorder features in high-risk youth because it is embedded within a broadband psychopathology measure.
Siglec‐1 inhibits RSV‐induced interferon gamma production by adult T cells in contrast to newborn T cells

Interferon gamma (IFN‐γ) plays an important role in the antiviral immune response during respiratory syncytial virus (RSV) infections. Monocytes and T cells are recruited to the site of RSV infection, but it is unclear whether cell‐cell interactions between monocytes and T cells regulate IFN‐γ production. In this study, micro‐array data identified the upregulation of sialic acid‐binding immunoglobulin‐type lectin 1 (Siglec‐1) in human RSV‐infected infants. In vitro, RSV increased expression of Siglec‐1 on healthy newborn and adult monocytes. RSV‐induced Siglec‐1 on monocytes inhibited IFN‐γ production by adult CD4+ T cells. In contrast, IFN‐γ production by RSV in newborns was not affected by Siglec‐1. The ligand for Siglec‐1, CD43, is highly expressed on adult CD4+ T cells compared to newborns. Our data show that Siglec‐1 reduces IFN‐γ release by adult T cells possibly by binding to the highly expressed CD43. The Siglec‐1‐dependent inhibition of IFN‐γ in adults and the low expression of CD43 on newborn T cells provides a better understanding of the immune response against RSV in early life and adulthood.
Design of Cryogenic Induction Motor Submerged in Liquefied Natural Gas

This paper presents the design of cryogenic induction motor submerged in liquefied natural gas (LNG) for operating LNG spray pump. In cryogenic environment of −163 °C, the torque characteristics of induction motor differ greatly from the operating conditions at room temperature. So, in order to obtain the operating characteristics corresponded with design specifications of the induction motor in cryogenic environment, it is necessary to redesign motor dimensions from the result of conventional design by reflecting the changes of material properties under the very low temperature (VLT). This paper focused on the design of cryogenic induction motor considering the variation of resistivity for the stator windings and rotor bars. Also, the distribution of magnetic flux density and magnetic saturation effect on the steel core are analyzed by using 2-D finite-element method for ac sinusoidal time varying excitations under the VLT. The result of proposed method considered the magnetic and electric characteristics of matters in VLT successfully, so that the motor performances at the cryogenic temperature fit well with expected. The designed motor was fabricated and torque performance measured in VLT agreed well with design goals.
A Low Cost Implantation Model in the Rat That Allows a Spatial Assessment of Angiogenesis

There is continual demand for animal models that allow a quantitative assessment of angiogenic properties of biomaterials, therapies, and pharmaceuticals. In its simplest form, this is done by subcutaneous material implantation and subsequent vessel counting which usually omits spatial data. We have refined an implantation model and paired it with a computational analytic routine which outputs not only vessel count but also vessel density, distribution, and vessel penetration depth, that relies on a centric vessel as a reference point. We have successfully validated our model by characterizing the angiogenic potential of a fibrin matrix in conjunction with recombinant human vascular endothelial growth factor (rhVEGF165). The inferior epigastric vascular pedicles of rats were sheathed with silicone tubes, which were subsequently filled with 0.2 ml of fibrin and different doses of rhVEGF165, centrically embedding the vessels. Over 4 weeks, tissue samples were harvested and subsequently immunohistologically stained and computationally analyzed. The model was able to detect variations over the angiogenic potentials of growth factor spiked fibrin matrices. Adding 20 ng of rhVEGF165 resulted in a significant increase in vasculature while 200 ng of rhVEGF165 did not improve vascular growth. Vascularized tissue volume increased during the first week and vascular density increased during the second week. Total vessel count increased significantly and exhibited a peak after 2 weeks which was followed by a resorption of vasculature by week 4. In summary, a simple implantation model to study in vivo vascularization with only a minimal workload attached was enhanced to include morphologic data of the emerging vascular tree.
Development and in vivo evaluation of a new oral nanoparticulate dosage form for leuprolide based on polyacrylic acid

It was the aim of this study to develop a nanoparticulate oral drug delivery system for leuprolide based on polyacrylic acid (PAA). In order to achieve formation of nanoparticles in a mild, aqueous environment, two different techniques were combined, namely hydrophobic ion pairing between leuprolide and sodium dodecyl sulphate in a first step, followed by encapsulation into nanoparticles gained by interpolymer complexation between polyacrylic acid and Pluronic F68. The obtained nanoparticles were characterized regarding particle size distribution, drug encapsulation efficiency and in vitro release profile. Additionally, the pharmacokinetic profiles of leuprolide after oral administration of PAA-nanoparticulate and PAA-control tablets to male Sprague-Dawley rats were assessed and compared. It could be shown, that hydrophobic ion pairing increased encapsulation efficacy of leuprolide and leads to a slowed drug release of nanoparticulate suspensions. Relative oral bioavailability of leuprolide could be increased by nanoparticulate tablets up to 4.2-fold. Results verify that the suggested approach is a promising strategy for the design of oral delivery systems for oral administration of peptide drugs.
Invited: Cross-layer modeling and optimization for electromigration induced reliability

In this paper, we propose a new approach for cross-layer electromigration (EM) induced reliability modeling and optimization at physics, system and datacenter levels. We consider a recently proposed physics-based electromigration (EM) reliability model to predict the EM reliability of full-chip power grid networks for long-term failures. We show how the new physics-based dynamic EM model at the physics level can be abstracted at the system level and even at the datacenter level. Our datacenter system-level power model is based on the BigHouse simulator. To speed up the online optimization for energy in a datacenter, we propose a new combined datacenter power and reliability compact model using a learning based approach in which a feed-forward neural network (FNN) is trained to predict energy and long term reliability for each processor under datacenter scheduling and workloads. To optimize the energy and reliability of a datacenter, we apply the efficient adaptive Q-learning based reinforcement learning method. Experimental results show that the proposed compact models for the datacenter system trained with different workloads under different cluster power modes and scheduling policies are able to build accurate energy and lifetime. Moreover, the proposed optimization method effectively manages and optimizes datacenter energy subject to reliability, given power budget and performance.