Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault Detection for Linear Discrete Time-Varying Systems Subject to Random Sensor Delay: A Riccati Equation Approach

This paper mainly studies the fault detection (FD) problem for linear discrete time-varying systems subject to random sensor delay. By assuming that the measurement channel is with Transmission Control Protocol (TCP), an observer-based FD filter (FDF) is provided as a residual generator via embedding the packet indicator into the filter. To construct this FDF, its design issue is formulated into two sub-problems. One is to maximize the <inline-formula> <tex-math notation="LaTeX">$\mathcal {H}_{-}/\mathcal {H}_{\infty }$ </tex-math></inline-formula> or <inline-formula> <tex-math notation="LaTeX">$\mathcal {H}_{\infty }/\mathcal {H}_{\infty }$ </tex-math></inline-formula> FD performance index, which aims to enhance the ratio of fault sensitivity/disturbance attenuation. The other one is to find the filter parameter matrices such that the error between the residual and the fault is minimized in the <inline-formula> <tex-math notation="LaTeX">$\mathcal {H}_{\infty }$ </tex-math></inline-formula> sense. By employing stochastic analysis and introducing some adjoint operator based optimization approaches, analytical solutions to the aforementioned FDF design problem are derived via solving recursive Riccati equations. An illustrative example is given to show the effectiveness of the proposed methodologies.
Validation of total skin electron irradiation (TSEI) technique dosimetry data by Monte Carlo simulation

Total skin electron irradiation (TSEI) is a complex technique which requires many nonstandard measurements and dosimetric procedures. The purpose of this work was to validate measured dosimetry data by Monte Carlo (MC) simulations using EGSnrc‐based codes (BEAMnrc and DOSXYZnrc). Our MC simulations consisted of two major steps. In the first step, the incident electron beam parameters (energy spectrum, FWHM, mean angular spread) were adjusted to match the measured data (PDD and profile) at SSD=100 cm for an open field. In the second step, these parameters were used to calculate dose distributions at the treatment distance of 400 cm. MC simulations of dose distributions from single and dual fields at the treatment distance were performed in a water phantom. Dose distribution from the full treatment with six dual fields was simulated in a CT‐based anthropomorphic phantom. MC calculations were compared to the available set of measurements used in clinical practice. For one direct field, MC calculated PDDs agreed within 3%/1 mm with the measurements, and lateral profiles agreed within 3% with the measured data. For the OF, the measured and calculated results were within 2% agreement. The optimal angle of 17° was confirmed for the dual field setup. Dose distribution from the full treatment with six dual fields was simulated in a CT‐based anthropomorphic phantom. The MC‐calculated multiplication factor (B12‐factor), which relates the skin dose for the whole treatment to the dose from one calibration field, for setups with and without degrader was 2.9 and 2.8, respectively. The measured B12‐factor was 2.8 for both setups. The difference between calculated and measured values was within 3.5%. It was found that a degrader provides more homogeneous dose distribution. The measured X‐ray contamination for the full treatment was 0.4%; this is compared to the 0.5% X‐ray contamination obtained with the MC calculation. Feasibility of MC simulation in an anthropomorphic phantom for a full TSEI treatment was proved and is reported for the first time in the literature. The results of our MC calculations were found to be in general agreement with the measurements, providing a promising tool for further studies of dose distribution calculations in TSEI. PACS number(s): 87.10. Rt, 87.55. K, 87.55. ne
Mobility-based Tracking Using WiFi RSS in Indoor Wireless Sensor Networks

Tracking of mobile sensors is an important research issue in wireless sensor networks. This paper presents a zoning-based tracking technique that works efficiently in indoor environments. The targeted area is composed of several zones, the objective being to determine the zone of the mobile sensor in a real-time tracking process. The proposed method creates a belief functions framework that combines evidence using the sensors mobility and observations. To do this, a mobility model is proposed by using the previous state of the sensor and its assumed maximum speed. Also, an observation model is constructed based on fingerprints collected as WiFi signals strengths received from surrounding Access Points. Real experiments demonstrate the effectiveness of this approach and its competence compared to state-of-the-art methods.
Target Discovery Differentials for 0-Knowledge Detection of ICS Malware

In this paper we present an unconventional anti ICS-malware approach. We leverage a factor that appears to be overlooked as of this writing, namely that ICS malware often infect machines which do not run any functions related to industrial process control. These may be, for example, business machines in the enterprise networks of power utility companies, or even random machines on the Internet. Because ICS environments use special-purpose communication protocols, it is highly unlikely that any application code on those machines will send or receive network traffic through an ICS communication protocol. On the other hand, ICS malware discover their targets via searches that initiate ICS communication protocol traffic. Our approach uses a kernel filter driver to analyze the network traffic that flows through a real NIC. The kernel filter driver works with a module that uses in-kernel ICS protocol signatures to recognize ICS protocol traffic embedded within the network traffic in question. Our approach can detect 0-day malware on machines that are unrelated to industrial process control, without any prior knowledge of their internal code and data. We performed extensive testing against malware samples involved in recent cyber attack campaigns, as well as safety and efficiency tests, and thus discuss the findings in the paper.
The dosimetric effect of inhomogeneity correction in dynamic conformal arc stereotactic body radiation therapy for lung tumors

For patients treated with lung stereotactic body radiation therapy (SBRT) using dynamic conformal arcs, the influence of inhomogeneity correction (IC) on normal tissue and tumor dosimetry was studied. For the same numbers of monitor units, the planning target volume equivalent uniform doses calculated without path‐length IC were lower than those calculated with IC (mean difference 18%, range 1% to 34%; p<0.0001). Normal lung dose differences were of the same magnitude in the opposite direction. In reports of SBRT, it will be helpful to maintain clear communication about the type of IC used to avoid future uncertainties about true normal tissue tolerance and tumor dose‐response relationships. PACS numbers: 87.50. Gi, 87.53. Bn, 87.53. Kn
Numerical investigation of the effects of constraint design on 5XXX Al Alloy GTA Welding

One of the most conventional approaches of quality control in metal weldments is the evaluation of residual stresses and distortion. Constraining the structure during welding, is the significant key parameter for optimizing the residual stress. In this research, an attempt was made to obtain the best welding constraint of 5XXX Al alloy lap joints during double pass GTAW. A 3-Dimentional finite element simulation was utilized for determining the effect of three different types of local U-shape Fixture (LUF) on residual stresses distributions and distortion. Considering sequentially coupled thermal-mechanical strategy, double ellipsoidal modelling of heat source and element death and birth technique were used in simulation. Thermocouple and LVDT’s set up were applied to validate thermal and mechanical results, respectively. Results provided by simulation show acceptable agreement with experimental values. According to results obtained from simulation, suitable LUFs selected based on optimum residual stresses and distortion in welding the aluminium structure.
Study on Niobium-Tantalum Resources in Waste from the Process of Refining Titanium Tetrachloride by Copper Wires

The waste generated from the process of removing vanadium by copper wires to refine titanium tetrachloride is rich in vanadium,copper,titanium.A further study shows that this waste contains 2.66% niobium as well as 0.29% tantalum.They can be considered as a new type of resource because the contents of Nb and Ta in the waste are much higher than their industrial grades.Niobium and tantalum that may be associated ilmenite enriched in the processing of titanium tetrachloride by the processing of dressing,chlorination and refining.
Joint Weakly Parameter-Shared and Higher Order Statistical Criteria for Domain Adaptation

Domain adaptation is a particular case of transfer learning that applies labeled data in one or more related source domains, to learn a classifier for unseen or unlabeled data in a target domain. Recent studies reveal that a deep neural network can learn transferable features which generalize well to novel tasks with domain adaptation. However, most existing methods use the strongly parameter-shared architecture with the same weights for both source and target data, and transferring criteria commonly uses maximum mean discrepancy (MMD). In order to get more flexible and robust features, a new architecture joint weakly parameter-shared structure and higher order statistical criteria as transferring criteria is introduced. This architecture is a two-stream architecture, one of which operates in the source domain and the other in the target domain. Different from the strongly parameter-shared structure, the weakly parameter-shared structure allow the use of separate layers for different domain. In addition, central moment discrepancy (CMD), as a higher order statistical criteria, is used in the approach to measure domain feature discrepancy more accurate. The approach can extract more appropriate domain-invariant features and domain-specific features, making our model more robust and accurate. Experimental results on the digital datasets will show its competitive performance as compared with the other state-of-the-art methods.
A network approach to the analysis of psychosocial risk factors and their association with health

We modeled early psychosocial risks as a network of interconnected variables to study their associations with later depressive symptoms and cardiometabolic outcomes. The participants were a nationally representative sample of 2580 men and women aged 3–18 years in 1980. Their parents reported the psychosocial risks in 1980, including the following: (1) child-specific life events, (2) parental health behavior, (3) parental socioeconomic status, and (4) parental psychological problems. Adulthood depressive symptoms and cardiometabolic outcomes were measured in 2007–2012. The most central risks (most number of connections to other risks) were socioeconomic risks that also predicted health outcomes more consistently than others.
Polymer-coated graphene films as anti-reflective transparent electrodes for Schottky junction solar cells

The traditional fabrication of graphene-based devices requires polymer-assisted transfer of graphene and a removal procedure of polymer coatings. Here, we propose to turn this process on its head and demonstrate a novel strategy of polymer-coated graphene as an optically antireflective and transparent electrode used in a graphene/silicon (G/Si) solar cell. No additional polymer removal and antireflection coatings (e.g. TiO2 colloids) are needed in our strategy. By engineering the thickness of polymer protective coatings, the light absorption and short-circuit current density of graphene solar cells can be greatly enhanced. We also showed that retaining the polymer coatings avoided the degradation of electrical conductivity of graphene films. With HNO3 doping applied on PMMA-coated G/Si solar cells, the PCEs can reach up to 13.34%. The long-term stabilities of HNO3 doped G/Si solar cells are also improved by using fluoropolymer (CYTOP) coatings on graphene. Our approach provides a novel fabrication method of transparent graphene electrodes for graphene-based optoelectronic devices with excellent light absorption.
BOKS 45906: a CV with an Orbital Period of 56.6 Min in the Kepler Field?

BOKS 45906 was found to be a blue source in the Burrell-Optical-Kepler Survey which showed a 3 mag outburst lasting ∼5 d. We present the Kepler light curve of this source which covers nearly 3 years. We find that it is in a faint optical state for approximately half the time and shows a series of outbursts separated by distinct dips in flux. Using data with 1 min sampling, we find clear evidence that in its low state BOKS 45906 shows a flux variability on a period of 56.5574 ± 0.0014 min and a semi-amplitude of ∼3 per cent. Since we can phase all the 1 min cadence data on a common ephemeris using this period, it is probable that 56.56 min is the binary orbital period. Optical spectra of BOKS 45906 show the presence of Balmer lines in emission indicating it is not an AM CVn (pure Helium) binary. Swift data show that it is a weak X-ray source and is weakly detected in the bluest of the UVOT filters. We conclude that BOKS 45906 is a cataclysmic variable with a period shorter than the ‘period-bounce’ systems and therefore BOKS 45906 could be the first helium-rich cataclysmic variable detected in the Kepler field.
Platelet rich plasma releasate promotes proliferation of skeletal muscle cells in association with upregulation of PCNA, cyclins and cyclin dependent kinases

Abstract Platelet rich plasma (PRP) contains various cytokines and growth factors which may be beneficial to the healing process of injured muscle. The purpose of this study is to investigate the effect and molecular mechanism of PRP releasate on proliferation of skeletal muscle cells. Skeletal muscle cells intrinsic to Sprague–Dawley rats were treated with PRP releasate. Cell proliferation was evaluated by 3-[4,5-Dimethylthiazol- 2-yl]-2,5-diphenyltetrazolium bromide (MTT) assay and immunocytochemistry with Ki-67 stain. Flow cytometric analysis was used to evaluate the cell cycle progression. Western blot analysis was used to evaluate the protein expressions of PCNA, cyclin E1, cyclin A2, cyclin B1, cyclin dependent kinase (cdk)1 and cdk2. The results revealed that PRP releasate enhanced proliferation of skeletal muscle cells by shifting cells from G1 phase to S phase and G2/M phases. Ki-67 stain revealed the increase of proliferative capability after PRP releasate treatment. Protein expressions including cyclin A2, cyclin B1, cdk1, cdk2 and PCNA were up-regulated by PRP releasate in a dose-dependent manner. It was concluded that PRP releasate promoted proliferation of skeletal muscle cells in association with the up-regulated protein expressions of PCNA, cyclin A2, cyclin B1, cdk1 and cdk2.
Clinical implementation of electron energy changes of Varian linear accelerators

Modern dual photon energy linear accelerators often come with a few megavoltage electron beams. The megavoltage electron beam has limited range and relative sharp distal falloff in its depth dose curve compared to that of megavoltage photon beam. Its radiation dose is often delivered appositionally to cover the target volume to its distal 90% depth dose (d90), while avoiding the normal ‐ sometimes critical ‐ structure immediately distal to the target. Varian linear accelerators currently offer selected electron beams of 4, 6, 9, 12, 16 and 20 MeV electron beam energies. However, intermediate electron energy is often needed for optimal dose distribution. In this study we investigated electron beam characteristics and implemented two intermediate 7 and 11 MeV electron beams on Varian linear accelerators. Comprehensive tests and measurements indicated the new electron beams met all dosimetry parameter criteria and operational safety standards. Between the two new electron beams and the existing electron beams we were able to provide a choice of electron beams of 4, 6, 7, 9, 11, 12, 16 and 20 MeV electron energies, which had d90 depth between 1.5 cm and 6.0 cm (from 1.5 cm to 4.0 cm in 0.5 cm increments) to meet our clinical needs. PACS number: 87.56. bd.
Revisiting Shamir’s No-Key Protocol: Lightweight Key Transport

Key-transport protocols, subclasses of key-establishment protocols, are employed to convey secret keys from a principal to another for establishing a security association. In this paper, we propose a lightweight, practicable, tweakable, energy-efficient, and secure key-transport protocol, suitable forwireless sensor networks (WSN), Internet of Things (IoT) and mobile networks. The proposed protocol is based on the Shamir's no-key protocol. Although Shamir's no-key protocol does not require any pre-shared secret between principals, we show that it is impossible to employ the no-key protocol over publiccommutative groups. We modify Diffie-Hellman key-agreement protocol to morph it into a key-transport protocol by applying a set of changes on the original protocol and it becomes possible to compare both protocols in terms of memory usage and total time to accomplish a single key transport. The experimental results show that the proposed key transport protocol perform faster than the modified Diffie-Hellman protocol, and the total time to transport a single key by using the modified Diffie-Hellman protocol grows drastically with the increase in key size.
Change the Things You Can: Emotion Regulation Is More Beneficial for People From Lower Than From Higher Socioeconomic Status

Emotion regulation is central to psychological health, and several emotion-regulation strategies have been identified as beneficial. However, new theorizing suggests the benefits of emotion regulation should depend on its context. One important contextual moderator might be socioeconomic status (SES), because SES powerfully shapes people’s ecology: lower SES affords less control over one’s environment and thus, the ability to self-regulate should be particularly important. Accordingly, effectively regulating one’s emotions (e.g., using cognitive reappraisal) could be more beneficial in lower (vs. higher) SES contexts. Three studies (N = 429) tested whether SES moderates the link between cognitive reappraisal ability (CRA; measured with surveys and in the laboratory) and depression. Each study and a meta-analysis of the 3 studies revealed that CRA was associated with less depression for lower SES but not higher SES individuals. Thus, CRA may be uniquely beneficial in lower SES contexts. More broadly, the effects of emotion regulation depend upon the ecology within which it is used.
Blockade of protease-activated receptor-4 (PAR4) provides robust antithrombotic activity with low bleeding

PAR4 inhibition with a reversible small-molecule antagonist is a promising antiplatelet therapy. This antiplatelet agent is just right Antiplatelet agents are common drugs that are used to prevent thrombotic events such as stroke in patients at high risk. Unfortunately, a frequent side effect of these drugs is excessive bleeding because they indiscriminately suppress thrombotic function. To improve on the safety margin of antiplatelet agents, Wong et al. identified a new target for treatment, a platelet receptor called PAR4. The authors developed a small-molecule drug against this target and evaluated its efficacy and safety in animal models. In head-to-head comparisons, the new drug was no less effective than clopidogrel, an antiplatelet agent widely used in the clinic, but it had a much larger therapeutic window. Antiplatelet agents are proven efficacious treatments for cardiovascular and cerebrovascular diseases. However, the existing drugs are compromised by unwanted and sometimes life-threatening bleeding that limits drug usage or dosage. There is a substantial unmet medical need for an antiplatelet drug with strong efficacy and low bleeding risk. Thrombin is a potent platelet agonist that directly induces platelet activation via the G protein (heterotrimeric guanine nucleotide–binding protein)–coupled protease-activated receptors PAR1 and PAR4. A PAR1 antagonist is approved for clinical use, but its use is limited by a substantial bleeding risk. Conversely, the potential of PAR4 as an antiplatelet target has not been well characterized. Using anti-PAR4 antibodies, we demonstrated a low bleeding risk and an effective antithrombotic profile with PAR4 inhibition in guinea pigs. Subsequently, high-throughput screening and an extensive medicinal chemistry effort resulted in the discovery of BMS-986120, an orally active, selective, and reversible PAR4 antagonist. In a cynomolgus monkey arterial thrombosis model, BMS-986120 demonstrated potent and highly efficacious antithrombotic activity. BMS-986120 also exhibited a low bleeding liability and a markedly wider therapeutic window compared to the standard antiplatelet agent clopidogrel tested in the same nonhuman primate model. These preclinical findings define the biological role of PAR4 in mediating platelet aggregation. In addition, they indicate that targeting PAR4 is an attractive antiplatelet strategy with the potential to treat patients at a high risk of atherothrombosis with superior safety compared with the current standard of care.
Optical trap assisted sub diffraction limited laser structuring

The ability to structure surfaces on a submicron scale is becoming increasingly important for a broad range of technical and biological applications. Such structures can be produced via irradiatingmicron sized transparent particles placed over a substrate of interest with ultrafast laser pulses. To enhance the structuring flexibility of this method particles can be optically trapped and spatiallymanipulated relative to the structured surface in order to achieve arbitrary patterns. In this contribution the authors describe the principle of optical trap assisted nanostructuring and present simulated and experimental results demonstrating the potential and limitations of this innovative nanoscale optical material processing technology.
In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets

Monocytes are bone marrow-derived leukocytes that are part of the innate immune system. Monocytes are divided into three subsets: classical, intermediate and non-classical, which can be differentiated by their expression of some surface antigens, mainly CD14 and CD16. These cells are key players in the inflammation process underlying the mechanism of many diseases. Thus, the molecular characterization of these cells may provide very useful information for understanding their biology in health and disease. We performed a multicentric proteomic study with pure classical and non-classical populations derived from 12 healthy donors. The robust workflow used provided reproducible results among the five participating laboratories. Over 5000 proteins were identified, and about half of them were quantified using a spectral counting approach. The results represent the protein abundance catalogue of pure classical and enriched non-classical blood peripheral monocytes, and could serve as a reference dataset of the healthy population. The functional analysis of the differences between cell subsets supports the consensus roles assigned to human monocytes.