Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection and assessment of congenital heart disease with magnetic resonance techniques.

Although chest radiography remains the initial imaging modality in the work-up of congenital heart disease (CHD), the cardiovascular community is often overburdened and at a loss to establish the correct diagnosis on the basis of plane chest films (Fig. 1). Thus, with echocardiography in their hands, pediatric cardiologists have become the principle investigators of patients with CHD. Moreover, approximately half of CHD is due to isolated septa1 abnormalities easily emendable to echocardiography with Doppler interrogation. However, complex lesions, especially those involving the central pulmonary vasculature and right-sided heart lesions, are difficult to assess even with transesophageal echocardiography ( 1 3) and are dependent on operator competence. Although the technique allows multiplanar imaging, compliance of the patient, body habit limitations, previous surgery, and pulmonary abnormalities may inhibit visualization of complex structures. In more difficult and complex cases of CHD, catheter angiography has been the traditional imaging modality of choice. However, angiography is invasive, traumatic to femoral and subclavian vessels of small children, and involves contrast dye of potential nephrotoxicity. Moreover, in CHD, repeated and followup diagnostics are often required to delineate the entire extent of the anomaly and follow its course over time; -
Mapping the Title IX Iceberg: Sexual Harassment (Mostly) in Graduate School by College Faculty

Introduction Sexual harassment within academia, as in other sectors of American society, is much in the news these days. Serial harassers, in particular, have long been a worry for legal scholars, who express concern about the extent to which there are serial sexual harassers in the workplace and what should be done to prevent and to remedy the effects of such repeat victimization.1 More recently, the U.S. Department of Education’s Office for Civil Rights (OCR) and the Obama White House placed a greater spotlight on student-on-student campus sexual violence, but the conversation (for years, and more so recently) has hardly excluded harassment by university faculty, including repeat faculty harassers.2 Indeed, in 2016 Congresswoman Jackie Speier introduced the Federal Funding Accountability for Sexual Harassers Act, which “would
Raising GA performance by simultaneous tuning of selective pressure and recombination disruptiveness

In many Genetic Algorithms applications the objective is to find a (near-)optimal solution using a limited amount of computation. Given these requirements it is difficult to find a good balance between exploration and exploitation. Usually such a balance is found by tuning the various parameters (like the selective pressure, population size, the mutation- and crossover rate) of the Genetic Algorithm. As an alternative we propose simultaneous tuning of the selective pressure and the disruptiveness of the recombination operators. Our experiments show that the combination of a proper selective pressure and a highly disruptive recombination operator yields superior performance. The reduction mechanism used in a Steady-State GA has a strong influence on the optimal crossover disruptiveness. Using the worst fitness deletion strategy the building blocks present in the current best individuals are always preserved. This releases the crossover operator from the burden to maintain good building blocks and allows us to tune crossover disruptiveness to improve the search for better individuals.
Security Attacks on Routing Protocols in Ad Hoc Wireless Networks

: In this Research paper we describe mobile ad hoc networking and Security Attacks on Routing Protocols in Ad Hoc Wireless Networks. Moreover we discuss Characteristics of differentiate ad hoc wireless networks and Problems about the routing protocols. We decisions of report Solutions for Routing Protocols in Ad Hoc Wireless Networks. This paper we discuss Security and protection of Aware Ad Hoc Routing. We discuss for another process of modification of Ad Hoc Wireless Networks and the security criteria of the mobile ad hoc network and present the main attack types that exist in it. Finally we survey the current security solutions for the mobile ad hoc network.
Performance Modeling of Storage Devices Using Machine Learning

Performance models of storage devices make it possible to evaluate storage resource configurations efficiently, allowing systems to search automatically a large number of candidates before locating an optimal or near-optimal one. This thesis explores the feasibility of using machine learning techniques to build such performance models. The models are constructed through “training”, during which the model construction algorithm observes storage devices under a set of training traces and builds the models based on the observations. The main advantage of the approach is the automation of the model construction algorithm, in addition to the high efficiency in both computation and storage. In our design, the models represent an I/O workload as vectors, and model its performance on storage devices as functions over the vectors using a regression tool. We have identified that vector representation of workloads, the regression tool, and training traces are three important factors in model quality. This thesis provides a thorough evaluation of existing techniques in addressing these issues. In addition, we have proposed the entropy plot to characterize the spatio-temporal behavior of I/O workloads and the PQRS model to generate traces of given characteristics to augment existing work in workload characterization. Our experiments on real-world traces have shown that the learning-based models are fast and accurate when the training and testing traces are similar. Offline training using synthetic traces, however, is less effective because the synthetic trace generators fail to capture the strong correlations between requests. Our error analyses have shown both the vector representation and synthetic trace generators have space for further improvement.
Generalized Flows for Optimal Inference in Higher Order MRF-MAP

Use of higher order clique potentials in MRF-MAP problems has been limited primarily because of the inefficiencies of the existing algorithmic schemes. We propose a new combinatorial algorithm for computing optimal solutions to 2 label MRF-MAP problems with higher order clique potentials. The algorithm runs in time O(2kn3) in the worst case (k is size of clique and n is the number of pixels). A special gadget is introduced to model flows in a higher order clique and a technique for building a flow graph is specified. Based on the primal dual structure of the optimization problem, the notions of the capacity of an edge and a cut are generalized to define a flow problem. We show that in this flow graph, when the clique potentials are submodular, the max flow is equal to the min cut, which also is the optimal solution to the problem. We show experimentally that our algorithm provides significantly better solutions in practice and is hundreds of times faster than solution schemes like Dual Decomposition [1], TRWS [2] and Reduction [3], [4], [5]. The framework represents a significant advance in handling higher order problems making optimal inference practical for medium sized cliques.
Proceedings of the 5th Symposium on Operating Systems Design and Implementation Using Model Checking to Debug Device Firmware

Device firmware is a piece of concurrent software that achieves high performance at the cost of software complexity. They contain subtle race conditions that make them difficult to debug using traditional debugging techniques. The problem is further compounded by the lack of debugging support on the devices. This is a serious problem because the device firmware is trusted by the operating system. Model checkers are designed to systematically verify properties of concurrent systems. Therefore, model checking is a promising approach to debugging device firmware. However , model checking involves an exponential search. Consequently , the models have to be small to allow effective model checking. This paper describes the abstraction techniques used by the ESP compiler to extract abstract models from device firmware written in ESP. The abstract models are small because they discard some of the details in the firmware that is irrelevant to the particular property being verified. The programmer is required to specify the abstractions to be performed. The ESP compiler uses the abstraction specification to extract models conservatively. Therefore, every bug in the original program will be present in the extracted model. This paper also presents our experience with using Spin model checker to develop and debug VMMC firmware for the Myrinet network interfaces. An earlier version of the ESP compiler yielded models that were too large to check for system-wide properties like absence of deadlocks. The new version of the compiler generated abstract models that were used to identify several subtle bugs in the firmware. So far, we have not encountered any bugs that were not caught by Spin.
Collaborative personalized Twitter search with topic-language models

The vast amount of real-time and social content in microblogs results in an information overload for users when searching microblog data. Given the user's search query, delivering content that is relevant to her interests is a challenging problem. Traditional methods for personalized Web search are insufficient in the microblog domain, because of the diversity of topics, sparseness of user data and the highly social nature. In particular, social interactions between users need to be considered, in order to accurately model user's interests, alleviate data sparseness and tackle the cold-start problem. In this paper, we therefore propose a novel framework for Collaborative Personalized Twitter Search. At its core, we develop a collaborative user model, which exploits the user's social connections in order to obtain a comprehensive account of her preferences. We then propose a novel user model structure to manage the topical diversity in Twitter and to enable semantic-aware query disambiguation. Our framework integrates a variety of information about the user's preferences in a principled manner. A thorough evaluation is conducted using two personalized Twitter search query logs, demonstrating a superior ranking performance of our framework compared with state-of-the-art baselines.
Removal of Radioactive Cesium Using Prussian Blue Magnetic Nanoparticles

Radioactive cesium (137Cs) has inevitably become a human concern due to exposure from nuclear power plants and nuclear accident releases. Many efforts have been focused on removing cesium and the remediation of the contaminated environment. In this study, we elucidated the ability of Prussian blue-coated magnetic nanoparticles to eliminate cesium from radioactive contaminated waste. Thus, the obtained Prussian blue-coated magnetic nanoparticles were then characterized and examined for their physical and radioactive cesium adsorption properties. This Prussian blue-coated magnetic nanoparticle-based cesium magnetic sorbent can offer great potential for use in in situ remediation.
A secure symmetric image encryption based on linear geometry

Transmission of image as secret over unreliable communication media is the demanding need of the day. But some intrinsic features like bulk data size, correlation among pixels are not properly addressed by conventional encryption algorithms such as DES, Triple-DES, RSA etc. To address the deficiency of conventional encryption algorithms, we propose a symmetric encryption technique based on linear geometry. Though the basic idea is block ciphering (size of each block is 4 bytes), here we have introduced the fundamental concept of linear geometry for ciphering. The ciphered bytes are again shuffled among N positions (N is size of secret file in bytes). The scheme is basically combination of substitution as well as transposition techniques, which provides better protection for secret image. It may be mentioned that there is no change in size after encryption. The proposed image encryption algorithm is described in detail along with its security analysis, such as key sensitivity analysis, statistical analysis, and differential analysis. Comparisons in terms of correlation between the secret and encrypted images, number of pixels change rate and unified average changing intensity are also presented. The present algorithm has been tested using different images to establish that the technique is quite robust and has a great potential to meet the security needs for digital images.
Helper virus induced T cell lymphoma in nonhuman primates after retroviral mediated gene transfer

Moloney Murine Leukemia Virus (MoMuLV) causes T cell neoplasms in rodents but is not known to be a pathogen in primates. The core protein and enzyme genes of the MoMuLV genome together with an amphotropic envelope gene are utilized to engineer the cell lines that generate retroviral vectors for use in current human gene therapy applications. We developed a producer clone that generates a very high concentration of retroviral vector particles to optimize conditions for gene insertion into pluripotent hematopoietic stem cells. This producer cell line also generates a much lower concentration of replication-competent virus that arose through recombination. Stem cells from rhesus monkeys were purified by immunoselection with an anti-CD34 antibody, incubated in vitro for 80-86 h in the presence of retroviral vector particles with accompanying replication-competent virus and used to reconstitute recipients whose bone marrow had been ablated by total body irradiation. The retroviral vector genome was detected in circulating cells of five of eight transplant recipients of CD34+ cells and in the circulating cells of two recipients of infected, unfractionated bone marrow mononuclear cells. Three recipients of CD34+ cells had a productive infection with replication-competent virus. Six or seven mo after transplantation, each of these animals developed a rapidly progressive T cell neoplasm involving the thymus, lymph nodes, liver, spleen, and bone marrow. Lymphoma cells contained 10-50 copies of the replication-competent virus, but lacked the retroviral vector genome. We conclude that replication-competent viruses arising from producer cells making retroviral vectors can be pathogenic in primates, which underscores the importance of carefully screening retroviral producer clones used in human trials to exclude contamination with replication- competent virus.
Dopamine and Octopamine Differentiate between Aversive and Appetitive Olfactory Memories in Drosophila

The catecholamines play a major role in the regulation of behavior. Here we investigate, in the fly Drosophila melanogaster, the role of dopamine and octopamine (the presumed arthropod homolog of norepinephrine) during the formation of appetitive and aversive olfactory memories. We find that for the formation of both types of memories, cAMP signaling is necessary and sufficient within the same subpopulation of mushroom-body intrinsic neurons. On the other hand, memory formation can be distinguished by the requirement for different catecholamines, dopamine for aversive and octopamine for appetitive conditioning. Our results suggest that in associative conditioning, different memories are formed of the same odor under different circumstances, and that they are linked to the respective motivational systems by their specific modulatory pathways.
An RFID-based remote supervisory system of an experimental production system

The RFID technology can help the production managers to track and monitor the production process of a single product, which will greatly support the accurate supervisory control of discrete manufacturing systems. Based on our previous work [7], we apply the RFID technology to the Internet-based remote supervisory control of an experimental one-of-a-kind production system. In this paper, we present the fundamental technologies of RFID-based data acquisition, data communication and remote supervisory control for this system. Experiment was done to verify the feasibility of these technologies.
TREE HEIGHT ESTIMATION METHODS FOR TERRESTRIAL LASER SCANNING IN A FOREST RESERVE

A terrestrial laser scanning survey has been performed on a forest reserve site. This paper represents the processing of the dataset. Two new methods have been developed for tree positioning, which is necessary for height calculation. One of them is the clustering method, the other is the so-called crescent moon method. The stems were modelled, as high as possible, by both methods. Two methods were tested for height estimation. One was a direct method based upon the Digital Surface Model; however a new method was developed to predict the tree-top based upon the modelled trunk and then the nearest local maximum was selected to that predicted point in the DSM. The other was an indirect method, where the modelled stems were described as paraboloids, and the heights were extrapolated. The accuracies of the methods were investigated by means of photogrammetric measurements based on very high-resolution aerial images. Both the clustering and crescent moon methods were appropriate in tree positioning and stem modelling. The height estimation based upon the DSM yielded good results. The extrapolation method was tested for European Larch only. The height in one-third of the cases was estimated by this method within tolerance. This method can be taken into consideration in the case of leaves on scanning in very dense, multi-storey forests.
Genotoxicity of Euphorbia hirta: An Allium cepa Assay

The potential genotoxic effects of methanolic extracts of Euphorbia hirta which is commonly used in traditional medicine to treat a variety of diseased conditions including asthma, coughs, diarrhea and dysentery was investigated using Allium cepa assay. The extracts of 125, 250, 500 and 1,000 µg/mL were tested on root meristems of A. cepa. Ethylmethanesulfonate was used as positive control and distilled water was used as negative control. The result showed that mitotic index decreased as the concentrations of E. hirta extract increased. A dose-dependent increase of chromosome aberrations was also observed. Abnormalities scored were stickiness, c-mitosis, bridges and vagrant chromosomes. Micronucleated cells were also observed at interphase. Result of this study confirmed that the methanol extracts of E. hirta exerted significant genotoxic and mitodepressive effects at 1,000 µg/mL.
Finite-Difference Simulations of Time Reversed Acoustics in a Layered Earth Model

Traditionally an earthquake is located by using the arrival times of P and S phases. This uses only a limited portion of the information on a seismogram. A large part of the information carried by the waveform is not used. In this study we investigate the applicability of the Time Reversed Acoustics (TRA) technique, and thus the whole waveform of the recorded signal, for earthquake locations and source characterization. The basic concept involved in TRA is the fundamental symmetry of time reversal invariance. Injecting the recorded signal, with time running backwards, reconstructs the whole wave field within the medium and can focus the wave field to the source. TRA has emerged as an important technique in acoustics with applications to medicine, underwater sound, and many other disciplines. The objective of this paper is to demonstrate the feasibility of applying TRA to seismological data by means of simulating the relevant features using a finite-difference approach. The following subjects are investigated: (1) Locating the earthquake hypocenter; (2) finding the source space-time function; and (3) characterizing the direction of fault rupture during an earthquake. The results show that the TRA technique can focus back to the source reasonably well in a layered earth model and can recover the source time function. The results also show that TRA has a good tolerance to noise. For efficient applications, calculation time can be reduced by generating a medium response library. The source location and source time function can then be determined by convolving the medium response library with the time-reversed signals recorded at the seismic stations.
Meet the Media Characters From Another Culture: Influence of Ethnocentrism on Parasocial Interaction

The present study investigates the influence of audiences’ ethnocentrism on their parasocial interaction (PSI) with sitcom characters. A total of 156 American college students participated in the study that involved viewing a British sitcom and its American remake. For audiences with high ethnocentrism, PSI with the male character in the American remake was significantly higher than that with the corresponding character in the British sitcom, whereas for people with low ethnocentrism, PSI with the male character in the British sitcom was significantly higher than that with the corresponding character in the American remake. People with high as well as low ethnocentrism did not exhibit significant PSI difference with the female character in the British sitcom and its American remake.
SPOOFING ATTACK DETECTION AND LOCALIZATION IN WIRELESS SENSOR NETWORK : A REVIEW

--Spoofing attack is an identity based attack through which a malicious user can spoof the MAC address of a node to create multiple illegitimate identities that highly affect the performance of wireless sensor network. The identification of spoofers and localization of the same is a challenging task in wireless sensor network. This paper presents expository survey of various spoofing attack detection techniques in wireless sensor network.
Visualization of the Dynamics of Synaptic Vesicle and Plasma Membrane Proteins in Living Axons

Newly synthesized membrane proteins are transported by fast axonal flow to their targets such as the plasma membrane and synaptic vesicles. However, their transporting vesicles have not yet been identified. We have successfully visualized the transporting vesicles of plasma membrane proteins, synaptic vesicle proteins, and the trans-Golgi network residual proteins in living axons at high resolution using laser scan microscopy of green fluorescent protein-tagged proteins after photobleaching. We found that all of these proteins are transported by tubulovesicular organelles of various sizes and shapes that circulate within axons from branch to branch and switch the direction of movement. These organelles are distinct from the endosomal compartments and constitute a new entity of membrane organelles that mediate the transport of newly synthesized proteins from the trans-Golgi network to the plasma membrane.