Miracle-dz/UniFAR-FTUs huggingface dataset:
Mission Control of Multiple Unmanned Aerial Vehicles: A Workload Analysis

With unmanned aerial vehicles (UAVs), 36 licensed pilots flew both single-UAV and dual-UAV simulated military missions. Pilots were required to navigate each UAV through a series of mission legs in one of the following three conditions: a baseline condition, an auditory autoalert condition, and an autopilot condition. Pilots were responsible for (a) mission completion, (b) target search, and (c) systems monitoring. Results revealed that both the autoalert and the autopilot automation improved overall performance by reducing task interference and alleviating workload. The autoalert system benefited performance both in the automated task and mission completion task, whereas the autopilot system benefited performance in the automated task, the mission completion task, and the target search task. Practical implications for the study include the suggestion that reliable automation can help alleviate task interference and reduce workload, thereby allowing pilots to better handle concurrent tasks during single- and multiple-UAV flight control.
GL(2)-structures of the Langlands global program

All kinds of global correspondences of Langlands are evaluated from the functional representation spaces of the algebraic bilinear semigroups GL2(.x.) with entries in products,right by left,of sets of archimedean increasing completions. Degenerate singularities on these functional representation spaces can give rise,by versal deformations and blowups of these,to one or two new covering functional representation spaces of GL2(.x.) according to the type of considered singularities. The discovered correspondences of Langlands are associated with singular and nonsingular universal GL(2)-structures.
Regarding “A process-based review of mouse models of pulmonary hypertension”

We wish to respond to the review article by Mita Das et al. entitled “A process-based review of mouse models of pulmonary hypertension” (Pulmonary Circulation OctoberDecember 2012:2[4]). Genetically modified mouse models have provided curious data for researchers in cancer, obesity, heart disease, diabetes, arthritis, substance abuse, anxiety, aging, and Parkinson’s disease; but how cost-effective or translational is this mouse research? Just one gene knockout kit will set you back US $ 38,000. [1] Crowley[2] and Contopoulos-Ioannidis et al.[3] have shown that successful translation to humans for this kind of basic research is exceedingly rare. [4]
Health and socioeconomic impact of work-related asthma

There is accumulating evidence that the workplace environment contributes significantly to the general burden of asthma. The purpose of this review is to explore the respiratory health and socioeconomic consequences of work-related asthma by addressing a series of controversial issues: 1) what is the natural history of occupational asthma and in what ways does ongoing exposure to the causal agent impact clinical outcomes? ; 2) how does the natural history of irritant-induced asthma differ in its health outcomes from immunologically-mediated occupational asthma? ; 3) do working conditions have a significant impact on asthma regardless of the aetiology of the disease? ; 4) what is the scope of work disability from work-related-asthma in social and economic terms? ; 5) what is the clinician's role in reducing the respiratory health consequences of work-related asthma? 6) to what extent do existing compensation and other social insurance schemes successfully address occupational asthma and work-aggravated asthma?
GbdR Regulates Pseudomonas aeruginosa plcH and pchP Transcription in Response to Choline Catabolites

ABSTRACT Pseudomonas aeruginosa hemolytic phospholipase C, PlcH, can degrade phosphatidylcholine (PC) and sphingomyelin in eukaryotic cell membranes and extracellular PC in lung surfactant. Numerous studies implicate PlcH in P. aeruginosa virulence. The phosphorylcholine released by PlcH activity on phospholipids is hydrolyzed by a periplasmic phosphorylcholine phosphatase, PchP. Both plcH gene expression and PchP enzyme activity are positively regulated by phosphorylcholine degradation products, including glycine betaine. Here we report that the induction of plcH and pchP transcription by glycine betaine is mediated by GbdR, an AraC family transcription factor. Mutants that lack gbdR are unable to induce plcH and pchP in media containing glycine betaine or choline and in phosphatidylcholine-rich environments, such as lung surfactant or mouse lung lavage fluid. In T broth containing choline, the gbdR mutant exhibited a 95% reduction in PlcH activity. In electrophoretic mobility shift assays, a GbdR-maltose binding protein fusion bound specifically to both the plcH and pchP promoters. Promoter mapping, alignment of GbdR-regulated promoter sequences, and analysis of targeted promoter mutants that lack GbdR-dependent induction of transcription were used to identify a region necessary for GbdR-dependent transcriptional activation. GbdR also plays a significant role in plcH and pchP regulation within the mouse lung. Our studies suggest that GbdR is the primary regulator of plcH and pchP expression in PC-rich environments, such as the lung, and that pchP and other genes involved in phosphorylcholine catabolism are necessary to stimulate the GbdR-mediated positive feedback induction of plcH.
An atlas of a rare neuronal surface antigen in the rat central nervous system

The mature nervous system contains functional synaptic networks composed of neuronal sets and subsets whose identity and maintenance may rely on external surface molecules specific for these neuronal subdivisions. Such molecules may reside permanently on specific neurons, serving to identify those neurons within a complex population. From a collection of monoclonal antibodies made to the Torpedo cholinergic synaptosome preparation, we have identified several antibodies that bind the surface of some, but not all, neurons of the mature rat brain (Kushner and Stephenson, 1983; Kushner, 1984). In the present study we catalog which neurons of the entire rat brain and spinal cord are immunopositive for one of these antibodies, Tor 23. The atlas we have compiled can be used (1) on a practical level to guide affinity purifications and neuronal cell sorting, and (2) more esoterically to address whether surface antigenic sets of neurons share or define a common functional property. In the forebrain, Tor 23- positive neurons predominate as a rare cell type of the inner cortical laminae. In the midbrain, few cells stain. In the hindbrain, labeled neurons are dispersed among several nuclei. The exceptions to these observations, areas that almost exclusively contain Tor 23- immunopositive neurons, are the spinal cord ventral horn, the deep cerebellar nuclei, some cerebellar-related nuclei, selected auditory nuclei, the supraoptic and paraventricular nuclei of the hypothalamus, and the CA2 pyramidal neurons of the hippocampus. The neurons that bind Tor 23 are related biochemically by virtue of that shared epitope alone. Whether they are related in a functional manner is a separate issue. Tor 23 demarks many motor-related structures, specifically, the ventral horn motor lamina, the orofacial motor nuclei 5 and 7, the ambiguus nucleus, the deep cerebellar nuclei, the pontine reticulotegmental nucleus, the lateral reticular nucleus, the gigantocellular reticular nucleus, the red nucleus, and neurons within the motor and somatosensory cortices. The overlap of Tor 23 with motor structures suggests that Tor 23 is a motor system marker.
H YBRID CRYPTOGRAPHIC TECHNIQUE USING RSA ALGORITHM AND SCHEDULING CONCEPTS

The RSA algorithm is one of the most commonly used efficient cryptographic algorithms. It provides the required amount of confidentiality, data integrity and privacy. Th is paper integrates the RSA Algorithm with round-robin priority scheduling scheme in order to extend the level of security and reduce the effectiveness of intrusion. It aims at obtaining minimal overhead, increased throughput and privacy. In this method the user uses the RSA algorithm and generates the encrypted messages that are sorted priority -wise and then sent. The receiver, on receiving the messages decrypts them using the RSA algorithm according to their priority. This method reduces the risk of man -in-middle attacks and timing attacks as the encrypted and decrypted messages are further jumbled based on their priority. It also reduces the power monitoring attack risk if a very small amount of information is exchanged. It raises the bar on the standards of information security, ensuring more efficiency.
How do episodic and semantic memory contribute to episodic foresight in young children?

Humans are able to transcend the present and mentally travel to another time, place, or perspective. Mentally projecting ourselves backwards (i.e., episodic memory) or forwards (i.e., episodic foresight) in time are crucial characteristics of the human memory system. Indeed, over the past few years, episodic memory has been argued to be involved both in our capacity to retrieve our personal past experiences and in our ability to imagine and foresee future scenarios. However, recent theory and findings suggest that semantic memory also plays a significant role in imagining future scenarios. We draw on Tulving’s definition of episodic and semantic memory to provide a critical analysis of their role in episodic foresight tasks described in the developmental literature. We conclude by suggesting future directions of research that could further our understanding of how both episodic memory and semantic memory are intimately connected to episodic foresight.
Scattering of Ultrasonic Radiation in Polycrystalline Metals

A method for measuring absorption and velocity of ultrasonic radiation in the frequency range from 5 to 100 Mc by use of pulse techniques is described. Results of such measurements performed on polycrystallinemagnesium and aluminum as a function of frequency and grain size show that the absorption coefficient varies linearly with frequency and inversely with grain size. The scattering power of a metal, and the fidelity with which an ultrasonic pulse is transmitted is shown to depend on the elastic constants of the single crystals. Criteria are established for evaluating the fidelity of pulse transmission in cubic and hexagonal metals, and figures of merit for many such polycrystalline metals are given.
Neurons or Symbols - Why does OR Remain Exclusive?

Neuro-Symbolic Integration is an interdisciplinary area that endeavours to unify neural networks and symbolic logic. The goal is to create a system that combines the advantages of neural networks (adaptive behaviour, robustness, tolerance of noise and probability) and symbolic logic (validity of computations, generality, higherorder reasoning). Several different approaches have been proposed in the past. However, the existing neurosymbolic networks provide only a limited coverage of the techniques used in computational logic. In this paper, we outline the areas of neuro-symbolism where computational logic has been implemented so far, and analyse the problematic areas. We show why certain concepts cannot be implemented using the existing neuro-symbolic networks, and propose four main improvements needed to build neuro-symbolic networks of
Blinded trials taken to the test: an analysis of randomized clinical trials that report tests for the success of blinding.

BACKGROUND Blinding can reduce bias in randomized clinical trials, but blinding procedures may be unsuccessful. Our aim was to assess how often randomized clinical trials test the success of blinding, the methods involved and how often blinding is reported as being successful. METHODS We analysed a random sample of blinded randomized clinical trials indexed in the The Cochrane Central Register of Controlled Trials and published in 2001. We identified 1599 blinded trials, and noted if they had conducted any test for the success of blinding. We also selected 200 trials randomly that did not report any such test, and sent a questionnaire to the corresponding authors asking them if they had conducted any tests. RESULTS Thirty-one out of 1599 trials (2%) reported tests for the success of blinding. Test methods varied, and reporting was generally incomplete. Blinding was considered successful in 14 out of the 31 trials (45%) and unclear in 10 (32%). Of the seven trials (23%) reporting unsuccessful blinding the risk of a biased trial result was either not addressed or was discounted in six cases. We received 130 questionnaires from trial authors (65%) of which 15 (12%) informed that they had conducted, but not published, tests. CONCLUSIONS Blinding is rarely tested. Test methods vary, and the reporting of tests, and test results, is incomplete. There is a considerable methodological uncertainty how best to assess blinding, and an urgent need for improved methodology and improved reporting.
Hierarchical hybrid MLP/HMM or rather MLP features for a discriminatively trained Gaussian HMM: A comparison for offline handwriting recognition

We use neural network based features extracted by a hierarchical multilayer-perceptron (MLP) network either in a hybrid MLP/HMM approach or to discriminatively retrain a Gaussian hidden Markov model (GHMM) system in a tandem approach. MLP networks have been successfully used to model long-term and non-linear features dependencies in automatic speech and optical character recognition. In offline handwriting recognition, MLPs have been mostly used for isolated character and word recognition in hybrid approaches. Here we analyze MLPs within an LVCSR framework for continuous handwriting recognition using discriminative MMI/MPE training. Especially hybrid MLP/HMM and discriminatively retrained MLP-GHMM tandem approaches are evaluated. Significant improvements and competitive results are reported for a closed-vocabulary task on the IfN/ENIT Arabic handwriting database and for a large-vocabulary task using the IAM English handwriting database.
Grp/DChk1 is required for G2-M checkpoint activation in Drosophila S2 cells, whereas Dmnk/DChk2 is dispensable

Cell-cycle checkpoints are signal-transduction pathways required to maintain genomic stability in dividing cells. Previously, it was reported that two kinases essential for checkpoint signalling, Chk1 and Chk2 are structurally conserved. In contrast to yeast, Xenopus and mammals, the Chk1- and Chk2-dependent pathways in Drosophila are not understood in detail. Here, we report the function of these checkpoint kinases, referred to as Grp/DChk1 and Dmnk/DChk2 in Drosophila Schneider's cells, and identify an upstream regulator as well as downstream targets of Grp/DChk1. First, we demonstrate that S2 cells are a suitable model for G2/M checkpoint studies. S2 cells display Grp/DChk1-dependent and Dmnk/DChk2-independent cell-cycle-checkpoint activation in response to hydroxyurea and ionizing radiation. S2 cells depleted for Grp/DChk1 using RNA interference enter mitosis in the presence of impaired DNA integrity, resulting in prolonged mitosis and mitotic catastrophe. Grp/DChk1 is phosphorylated in a Mei-41/DATR-dependent manner in response to hydroxyurea and ionizing radiation, indicating that Mei-41/ATR is an upstream component in the Grp/DChk1 DNA replication and DNA-damage-response pathways. The level of Cdc25Stg and phosphorylation status of Cdc2 are modulated in a Grp/DChk1-dependent manner in response to hydroxyurea and irradiation, indicating that these cell-cycle regulators are downstream targets of the Grp/DChk1-dependent DNA replication and DNA-damage responses. By contrast, depletion of Dmnk/DChk2 by RNA interference had little effect on checkpoint responses to hydroxyurea and irradiation. We conclude that Grp/DChk1, and not Dmnk/DChk2, is the main effector kinase involved in G2/M checkpoint control in Drosophila cells.
Study of Hoist Perception System Based on IOT Technology

With the rise of industrial IOT and development of sensor technology, this paper proposes hoist perception system based on IOT technology. The hoist perception system is analyzed from the hardware architecture, LAN configuration, elevator operation signal acquisition, software design, remote diagnostic center and system safety. The perception system mentioned in this paper is being used to the scene, achieved good results and increased the hoist control system’s reliability.
Bayesian Multiple Person Tracking using Probability Hypothesis Density Smoothing

Abstract We presents a PHD filtering approach to estimate the state of an unknown number of persons in a video sequence. Persons are represented by moving blobs, which are tracked across different frames using a first-order moment approximation to the posterior density. The PHD filter is a good alternative to standard multi-target tracking algorithms, since overrides making explicit associations between measurements and persons locations. The recursive method has linear complexity in the number of targets, so it also has the potential benefit of scaling well with a large number of persons being tracked. The PHD filter achieves interesting results for the multiple persons tracking problem, albeit discarding useful information from higher order interactions. Nevertheless, a backward statespace representation using PHD smoothing can be used to refine the filtered estimates. In this paper, we present two smoothing strategies for improving PHD filter estimates in multiple persons tracking. Results from using PHD smoothing techniques in a video sequence shows a slight gain in the cardinality estimates (meaning the number of persons in a particular video frame), but good performance in the individual location estimates.
On the Network Topologies Formed in BitTorrent Downloads

Though many have explored BitTorrent networks theoretically or experimentally, few have examined the graph topology underlying the connections made between peers in a BitTorrent system. Also, many have looked at the presence of scale-free and small-world characteristics in various peerto-peer network topologies, but not specifically at BitTorrent, the most popular peer-to-peer system. This paper describes an experimental study that examines a series of the networks formed between peers during BitTorrent downloads, looking closely at the underlying topology of the networks. We find strong evidence of small-world characteristics in the network of peers connected to each other, the network of peers interested in each other, and the network of peers that have recently downloaded from each other. We also find scale-free characteristics in the network of peers that are unchoked by other peers.
Anatomy of SIP registration removal attack and defense strategies

This Popularity of VoIP and SIP technologies has been started at last years. SIP applications will have an important place in the future. VoIP/SIP security technologies are not known as much as TCP/IP's security world. Hence, VoIP/SIP security technologies, developments and researches are very important for academic and commercial. In this study, signaling vulnerabilities of registration mechanism in Session Initiation Protocol (SIP) which is used in next generation communication environment known as Unified Communications (UC) systems has been mentioned. The results of registration removal attack which has been carried out at VoIP security laboratory environment are shared, anatomy of attack and the defense strategies for that attack type are mentioned.
Capacitance estimate for electrostatically actuated narrow microbeams

A novel estimate for the line-to-ground capacitance that accurately predicts the pull-in instability parameters for narrow electrostatically actuated microbeams is proposed. Parameters in the proposed formula are obtained by least square fitting data from a fully converged numerical solution with the method of moments. For a narrow microbeam, it is shown that the new formula significantly improves upon classical formulas that neglect fringing field effects due to the finite thickness of the microbeam cross-section.
The Memory Pool System Thirty person-years of memory management development goes Open Source

The Memory Pool System (MPS) is a very general, adaptable, flexible, reliable, and efficient memory management system. It permits the flexible combination of memory management techniques, supporting manual and automatic memory management, in-line allocation, finalization, weakness, and multiple concurrent co-operating incremental generational garbage collections. It also includes a library of memory pool classes implementing specialized memory management policies. The MPS represents about thirty person-years of development effort. It contains many innovative techniques and abstractions which have hitherto been kept secret. We are happy to announce that Ravenbrook Limited is publishing the source code and documentation under an open source licence. This paper gives an overview of the system.
GETMAG – a SQUID Magnetic Tensor Gradiometer for Mineral and Oil Exploration

A novel rotating magnetic gradiometer system (GETMAG) has been designed, constructed, and demonstrated. The sensor is a high temperature superconducting quantum interference device (SQUID) operating in liquid nitrogen (-196°C). By making measurements about three separate axes, the full magnetic gradient tensor is determined. The system has been demonstrated over a magnetite skarn deposit at Tallawang, near Gulgong, NSW, which is essentially two-dimensional (2D). The 2D structure was important because it allowed an unaliased total magnetic intensity (TMI) survey to be carried out in parallel, from which tensor components could be calculated to directly compare with the tensor components measured with the rotating gradiometer. The agreement was found to be excellent, confirming the accuracy and calibration of GETMAG and the Fourier filtering method of the calculation. Methods developed to analyse 2D tensor data utilise eigenvalue and eigenvector systematics. Notwithstanding underlying non-uniqueness of solutions for 2D structures, all determinable parameters of location, geometry, and magnetization were found to accord with directly measured properties, i.e., information gained from either exploration drilling or laboratory measurements. Only a few tensor gradiometer stations were needed to extract the same information as a whole TMI survey. A more general method to determine structure and location of sources is Tensor Euler Deconvolution. This method has been adapted for the magnetic gradient tensor in a least-squares fashion and applied to the tensors calculated from the TMI survey. Generally, an Euler index of n = 1 was found, as is expected for 2D sources. However, this approach allowed second-order features of the source, where n > 1, to be discerned. The skarn is interpreted to comprise a fresh, more highly magnetic, core at depth (~25-30 m) surrounded by a less magnetic mantle. The skarn extends to within 10 m of the surface where weathering has presumably contributed to diminished magnetization. Elsewhere, away from the skarn, Euler indices are low, approaching that of a magnetic annihilator = 0). This presumably reflects the uniformly magnetized alluvial soil cover. Our next stage is to demonstrate an airborne capability of GETMAG, beginning with a helicopter platform before moving to fixed-wing. In addition to mineral and oil exploration, we envisage applications in environmental, military, and unexploded ordnance (UXO) surveys.