Miracle-dz/UniFAR-FTUs huggingface dataset:
Dexterous manipulators for nuclear inspection and maintenance — Case study

Life extension and plant management of nuclear assets is a critical issue for nuclear operators. This paper considers the growing requirement to ascertain the state of the nuclear systems by means of direct plant measurement, with the consequential requirement to conduct in-situ repairs. These requirements have driven the development of new remote handling techniques. The paper considers the application of a new design of remote handling systems to two different tasks within different reactor types. The first task involved removal and replacement of a section of SCRAM pipe within a BWR. The second task involves the first deployment of a new inspection tool to access primary circuit feeder pipes within the Upper Feeder Cabinets of CANDU reactors. Both tasks have confined space, limited access requirements, in addition to nuclear radiation hazards and required deployment of nose-following multi-degree of freedom snake-arm robot systems.
Towards integrative anthropology again and again: disorderly becomings of a (biological) anthropologist

ABSTRACT Any study of the world, including that of the human, is a move toward and into complexity not away from it. Human action and perception are as evolutionarily relevant as are human genes, bones, and muscles. As an anthropologist interested in behaviour and evolution my focus is the interface of biological histories and systems with the social and cultural lives of humans and the other animals we share close relations with. In this essay influenced by, and following from, Tim Ingold’s ‘From Science to Art and Back Again: The Pendulum of an anthropologist’ I chart my history as a scholar via the patterns and changes in the anthropological, primatological, and evolutionary approaches that I have witnessed and have taken part in. I conclude with a call for an integrative anthropology that draws from contemporary evolutionary theory and biology along with a deep connection with the humanities and the arts.
A Review on Data Hiding Techniques in Compressed Video

This paper presents various Data Hiding techniques of video in compressed domain. Data is embedded into digital media for the purpose of identification, annotation, copy right and tampering detection. The identification purpose mainly falls into the area of cloud computing- making sure that the sender is the one intended; annotation refers to the property of tagging or giving captions to the video; copyright protection, which is used to prevent the recreation of the video; tampering detection is the method in which the receiver checks whether the video is tampered or disturbed during the transmission by a third party. Several factors affect the data hiding process-the quantity of data to be hidden, whether the embedding technique can handle large payloads without affecting the quality of the video, embedding in a lossy compression environment and the extent to which the data hidden is subject to modification or removal by a third party. This paper discusses the various data hiding techniques of video in the compressed environment and compares the techniques based on the quantities mentioned above. Furthermore they are analyzed in terms of their method, robustness and capacity. A comparison graph is plotted based on the efficiency analysis of the data hiding techniques and conclusions are drawn based on the analysis.
Nuclear-norm regularized neighborhood preserving projection

We propose a nuclear-norm regularized two-dimensional neighborhood preserving projection (2DNPP) for extracting representative 2D image features. Note that 2DNPP extracts neighborhood preserving features through minimizing the reconstruction error, but the Frobenius norm based metric is sensitive to noise and outliers. To make the distance metric more reliable and model the neighborhood reconstruction error more accurately, we impose the nuclear-norm on the neighborhood reconstruction error and measure it over each image. Technically, we propose a new variant of 2DNPP termed nuclear-norm based 2DNPP (N-2DNPP). Besides, to make delivered projection promising for feature extraction, we also include the nuclear-norm constraint on projection accordingly, where the low-rank projection can embed data into their respective subspaces. Our method can outperform related state-of-the-arts in a variety of simulation settings.
Type-2 FLCs: A New Generation of Fuzzy Controllers

Type-1 fuzzy logic controllers (FLCs) have been applied to date with great success to many different applications. However, for dynamic unstructured environments and many real-world applications, there is a need to cope with large amounts of uncertainties. The traditional type-1 FLC using crisp type-1 fuzzy sets cannot directly handle such uncertainties. A type-2 FLC using type-2 fuzzy sets can handle such uncertainties to produce a better performance. Hence, type-2 FLCs will have the potential to overcome the limitations of type-1 FLCs and produce a new generation of fuzzy controllers with improved performance for many applications, which require handling high levels of uncertainty. This paper introduces briefly the interval type-2 FLC and its benefits. We also present briefly the type-2 FLC application to three challenging domains: industrial control, mobile robots control and ambient intelligent environments control
Joint Admission Control, Channel Assignment and QoS Routing for Coverage Optimization in Multi-Hop Cognitive Radio Cellular Networks

In recent years, cognitive radio technology (CR) has been proposed to allow unlicensed secondary users (SUs) to opportunistically access the channels unused by primary users. As a result, there is a lot of recent interests on studying cognitive radio cellular networks (CogCells) that can support both PUs and SUs. Due to the limited transmission range of SUs, in this work we consider supporting Multi-hop infrastructure-based secondary systems (SSs), where SUs can communicate with the BS over multiple hops. The use of SSs improves the reliability and coverage compared to its single-hop counterpart. In addition, SUs are allowed to access multiple channels, which helps to increase transmission reliability and coverage and relieve interference at PUs. To enable multi-hop secondary transmissions, it is also important to support efficient routing. In CogCells, efficient admission control, channel assignment and routing is crucial for the coverage optimization of SSs and to ensure the QoS requirements in CogCells. In this paper, we mathematically formulate the problem of joint admission control, channel assignment and QoS routing to maximize the coverage of SUs in a CogCell system that supports multi-hop secondary transmissions, taking into account the interference constraints and QoS requirements from the PUs and admitted SUs. To our best knowledge, this is the first study that attempts to optimize the coverage of SUs in multi-hop CogCells with the concurrent support of the above three important procedures. We show that the problem is NP-hard and propose three different algorithms to solve the coverage optimization problem and give the theoretical analyses of its performances in terms of approximation ratio to the optimum. Our solutions include a greedy heuristic approximation scheme, an algorithm that can provide exact solution, and a new approximation solution with a poly-logarithmic approximation ratio guarantee, e.g., the performance of our algorithm is within a poly-logarithmic factor of that of any optimal algorithm for the problem. Our preliminary simulation results indicate that our new approximation algorithms can effectively exploit the increased number of SUs and channels, and performs much better than the theoretical worst case bound.
A NEW UNEQUAL ERROR PROTECTION SCHEME FOR SPIHT IN PROGRESSIVE IMAGE TRANSMISSION

In the output of the state-of-art embedded wavelet image encoder SPHIT, three kinds of bits, namely the significance information bits, sign bits and refinement bits are interleave d, making unequal error protection(UEP) ineffective. In this work, we observed a beautiful property of SPIHT. The synchronization in decoding is of no influence if we split the original embedded bit stream into three in transmission. Ba sed on this observation, we proposed an new unequal error protection scheme for SPIHT, which requires the least modification of the SPIHT algorithm. Experimental results showed the superiority of this UEP scheme to equal error protection(EEP) scheme.
Endothelial mineralocorticoid receptor activation mediates endothelial dysfunction in diet-induced obesity

Received 22 July 2012; revised 29 January 2013; accepted 4 March 2013 Aims Aldosterone plays a crucial role in cardiovascular disease. ‘Systemic’ inhibition of its mineralocorticoid receptor (MR) decreases atherosclerosis by reducing inflammation and oxidative stress. Obesity, an important cardiovascular risk factor, is an inflammatory disease associated with increased plasma aldosterone levels. We have investigated the role of the ‘endothelial’ MR in obesity-induced endothelial dysfunction, the earliest stage in atherogenesis. Methods and results C57BL/6 mice were exposed to a normal chow diet (ND) or a high-fat diet (HFD) alone or in combination with the MR antagonist eplerenone (200 mg/kg/day) for 14 weeks. Diet-induced obesity impaired endothelium-dependent relaxation in response to acetylcholine, whereas eplerenone treatment of obese mice prevented this. Expression analyses in aortic endothelial cells isolated from these mice revealed that eplerenone attenuated expression of pro-oxidative NADPH oxidase (subunits p22phox, p40phox) and increased expression of antioxidative genes (glutathione peroxidase-1, superoxide dismutase-1 and -3) in obesity. Eplerenone did not affect obesity-induced upregulation of cyclooxygenase (COX)-1 or prostacyclin synthase. Endothelial-specific MR deletion prevented endothelial dysfunction in obese (exhibiting high ‘endogenous’ aldosterone) and in ‘exogenous’ aldosterone-infused lean mice. Pre-incubation of aortic rings from aldosterone-treated animals with the COX-inhibitor indomethacin restored endothelial function. Exogenous aldosterone administration induced endothelial expression of p22phox in the presence, but not in the absence of the endothelial MR. Conclusion Obesity-induced endothelial dysfunction depends on the ‘endothelial’ MR and is mediated by an imbalance of oxidative stress-modulating mechanisms. Therefore, MR antagonists may represent an attractive therapeutic strategy in the increasing population of obese patients to decrease vascular dysfunction and subsequent atherosclerotic complications.
"Money" is the Reserves not the Money

In this paper I will argue that the institutional implementations that we commonly include in our monetary aggregates are actually more similar to the concept of ``monetary base''. I will also argue that the institutional implementation of accounts payable operates as money. This slightly translated definition implies that a new monetary aggregate that includes accounts payable may be useful for conducting and informing monetary policy.
EFFECT OF METHYL ESTER OF JASMONIC ACID, ABSCISIC ACID AND BENZYLADENINE ON CHLOROPHYLL SYNTHESIS IN EXCISED COTYLEDONS OF CUCURBITA PEPO (ZUCCHINI)

Except for the first stages of illumination, exogenous methyl ester of jasmonic acid (MeJA) inhibited much stronger than abscisic acid (ABA) the accumulation of chlorophyll in excised cotyledons of C. pepo L. (zucchini) exposed to controlled light conditions. Benzyladenine (BA) applied in a combination with MeJA or ABA at equimolar concentrations completely neutralized their inhibitory effect. In contrast to ABA, preincubation of cotyledons with MeJA in the dark increased its inhibitory effect on chlorophyll synthesis while the effect of ABA remained almost unchanged. Determination of δ-aminolevulinic acid (δ-ALA) in greening cotyledons revealed a close correlation between the effect of phytohormones on chlorophyll content and δ-ALA accumulation. MeJA inhibited to a greater extent than ABA the synthesis of δ-ALA. Our results suggest different mechanisms of inhibition of chlorophyll synthesis by both inhibitors. MeJA preferentially inhibitied chlorophyll accumulation at the level of chlorophyll precursors in the dark while ABA exerted its effect on the light-dependent reactions of chlorophyll synthesis.
High Imperceptible Data Hiding using Remainder Method

In this paper we will propose a high quality image steganography technique which can hide secret data within an image in such a way so that it is imperceptible to human eye. This method solves the overlapping problem of remainder and use modulo operator efficiently for hiding purpose. First, we calculate the base eight equivalent of target string. That increases the hiding capacity as well as robustness of the stego image. Then the secret data can be hidden by remainder method. In our proposed work we alter the remainder of pixels in such a way so as to greatly reduce the image distortion caused by the hiding of the secret data. Experimental result checks the quality of stego image as well as compared with standard LSB technique and 3 LSB multi-bit image steganography technique. Experimental results have also demonstrated that the proposed scheme is secure against StirMark Benchmark 4.0. General Terms Security, Internet, Cryptography, Communication, Number System
THE STUDY OF APOMORPHINE EFFECTS AND HETEROGENEITY IN THE MEDIAL PREFRONTAL CORTEX ON THE DOPAMINERGIC BEHAVIORS OF RATS

Objective(s) While the nucleus accumbens and the striatum have received much attention regarding their roles in stereotyped behaviors, the role of the medial prefrontal cortex (mPFC) has not been investigated to the same degree. Few studies have reported the role of the mPFC in dopaminergic induction of locomotor hyperactivity. The mPFC is a heterogeneous area (the anterior cingulated, prelimbic, and the infralimbic) with particular inputs and outputs to subcortical regions that may have different effects on stereotyped behaviors. In this work, apomorphine, a non-specific dopamine agonist, was microinjected into the three different subregions of the mPFC for induction of stereotyped behaviors to show the role of the three subareas of the mPFC on behaviors and its heterogeneity. Materials and Methods Cannulas implanted in the infralimbic, the prelimbic or the anterior cingulated areas of the mPFC. Apomorphine microinjected at five doses and then behaviors recorded. Results There were significant differences among three areas. The rats receiving apomorphine in the anterior cingulated showed less sniffing and climbing but more chewing behaviors. Yawning observed more significantly in the rats given apomorphine in the prelimbic area. The rats getting apomorphine in the infralimbic of the mPFC showed more climbing behavior. Conclusion It was indicated that manipulation of the dopaminergic system in mPFC alters behaviors and with regard to this, there may be heterogeneity among its three subregions.
The Luminosity Function for White Dwarfs in the SuperCOSMOS Sky Survey

We present the techniques and early results of our program to measure the luminosity function for White Dwarfs in the SuperCOSMOS Sky Survey. Our survey covers over three quarters of the sky to a mean depth of I~19.2, and finds ~9,500 Galactic disk WD candidates on applying a conservative lower tangential velocity cut of 30kms^-1. Novel techniques introduced in this survey include allowing the lower proper motion limit to vary according to apparent magnitude, fully exploiting the accuracy of proper motion measurements to increase the sample size. Our luminosity function shows good agreement with that measured in similar works. We find a pronounced drop in the local number density of WDs at a M_bol~15.75, and an inflexion in the luminosity function at M_bol~12.
Identifying Android Inter-app Communication Vulnerabilities Using Static and Dynamic Analysis

The Android platform is designed to facilitate inter-app integration and communication, so that apps can reuse functionalities implemented by other apps by resorting to delegation. Though this feature is usually mentioned to be the main reason for the popularity of the platform, it also poses security risks to the end user. Malicious unprivileged apps can exploit the delegation model to access privileged tasks that are exposed by vulnerable apps. In this paper, we present a particularly dangerous case of delegation, that we call the Android Wicked Delegation (AWiDe). Moreover, we compare two distinct approaches to automatically detect inadequate message validation, respectively based on static analysis and on dynamic analysis. We empirically validate our approaches on more than three hundred popular apps. Vulnerabilities detected by us lead to the implementation of successful proof-of-concept attacks, and the app developers have confirmed one of them.
A novel model for fluid secretion by the trypanosomatid contractile vacuole apparatus

We have studied fluid secretion by the contractile vacuole apparatuss of the trypanosomatid flagellate Leptomonas collosoma with thin sections and freeze-fracture replicas of cells stabilized by ultrarapid freezing without prior fixation or cryoprotection. The ultrarapid freezing has revealed membrane specializations related to fluid segregation and transport as well as membrane rearrangements which may accompany water expulsion at systole. This osmoregulatory apparatu consists of the spongiome, the contractile vacuole, and the fluid discharge site. The coated tubules of the spongiome converge on the contractile vacuole from all directions. These 60- to 70-nm tubules contain characteristic double rows of 11-nm intramembrane particles in a helical configuration which fracture predominantly with the E face. Short double rows of similar particles are also frequently found on both faces of the contractile vacuole itself, in addition to many smaller particles on the P face. The spongiome tubules fuse with the vacuole during the filling stage of each cycle and then detach before secretion. The contractile vacuole membrane is permanently attached to the plasma membrane of the flagellar pocket by a dense adhesion plaque. In some ultrarapidly frozen cells, 20- to 40-nm perforations can be visualized within the plaque and the adjacent membranes during the presumptive time of discharge. The formation of the plaque perforations and the membrane channels occurs without fusion of the vacuole and the plasma membrane and does not require extracellular calcium. On the basis of our results, we have developed a model for water secretion which suggests that the adhesion plaque may induce pore formation in the adjoining lipid bilayers, thereby allowing bulk expulsion of the fluid.
Vertical diffusivity in the lower stratosphere from Lagrangian back‐trajectory reconstructions of ozone profiles

[1] We present a simple stochastic-dynamical approach to estimate the turbulent vertical diffusivity (D) in the lower stratosphere from routinely observed ozone profiles. First, an observed ozone profile is reconstructed using three-dimensional back trajectories obtained from analyzed winds and initializing the trajectories with ozone values from the output of a chemistry-transport model. Assuming that diffusion in the vertical follows a simple random walk leading to a Gaussian probability distribution for the particle displacements, we perform Monte Carlo simulations with ensembles of particles originating along each point in the vertical profile. By choosing different values of D as input in the calculations, we generate different profiles that are smoothed through diffusion. Comparing with the observed profile, we can identify that value of D which is in best agreement at an intermediate range of vertical length scales as an upper bound of the actual D. For northern midlatitude lower stratospheric conditions during winter over a period of 12 days, the best estimate is D ≈ 0.1 m2 s−1 or slightly larger. The present results are discussed in the context of comparable estimations of vertical diffusivity in the literature.
Detection of Intrusion using Alert Aggregation in DataStream Modelling with Constructive Basis

Alert aggregation is an important subtask of intrusion detection. The goal is to identify and to cluster different alerts—produced by low-level intrusion detection systems, firewalls, etc.—belonging to a specific attack instance which has been initiated by an attacker at a certain point in time. Thus, meta-alerts can be generated for the clusters that contain all the relevant information whereas the amount of data (i.e., alerts) can be reduced substantially. Meta-alerts may then be the basis for reporting to security experts or for communication within a distributed intrusion detection system. We propose a novel technique for online alert aggregation which is based on a dynamic, probabilistic model of the current attack situation. Basically, it can be regarded as a data stream version of a maximum likelihood approach for the estimation of the model parameters. With three benchmark data sets, we demonstrate that it is possible to achieve reduction rates of up to 99.96 percent while the number of missing meta-alerts is extremely low. In addition, meta-alerts are generated with a delay of typically only a few seconds after observing the first alert belonging to a new attack instance. Keywords— Intrusion detection, alert aggregation, generative modelling, data stream algorithm.
Workflow-Based Modeling of Web Application and Automatically Generating Test Sequences

Web applications are main applications in Internet. Before developing Web Application, a CPN (Colored Petri net) model based on workflow is constructed. By this way, the rationality of the workflow can be ensured before developing, rather than the irrationality is found during testing phases. The constructed CPN model is analyzed with CPN tools. Moreover, AGTS tool is implemented to generate test sequences and it is also suitable for all CPN models. To prove the method's efficiency, the make-order business process of logistics management system is used as an example to construct CPN model that is based on workflow, and then verify the correction of the constructed CPN model. At the same time, AGTS tool can automatically generate the test sequences of the constructed CPN model and its usability of this automatic tool is demonstrated.
Symbolic Quest into Homoclinic Chaos

We explore the multifractal, self-similar organization of heteroclinic and homoclinic bifurcations of saddle singularities in the parameter space of the Shimizu–Morioka model that exhibits the Lorenz chaotic attractor. We show that complex transformations that underlie the transitions from the Lorenz attractor to wildly chaotic dynamics are intensified by Shilnikov saddle-foci. These transformations are due to the emergence of Shilnikov flames originating from inclination-switch homoclinic bifurcations of codimension-two. We demonstrate how the original computational technique, based on the symbolic description and kneading invariants, can disclose the complexity and universality of parametric structures and their link with nonlocal bifurcations in this representative model.