Miracle-dz/UniFAR-FTUs huggingface dataset:
The Spatial Organization of Lipid Synthesis in the Yeast Saccharomyces cerevisiae Derived from Large Scale Green Fluorescent Protein Tagging and High Resolution Microscopy*S

The localization pattern of proteins involved in lipid metabolism in the yeast Saccharomyces cerevisiae was determined using C-terminal green fluorescent protein tagging and high resolution confocal laser scanning microscopy. A list of 493 candidate proteins (∼9% of the yeast proteome) was assembled based on proteins of known function in lipid metabolism, their interacting proteins, proteins defined by genetic interactions, and regulatory factors acting on selected genes or proteins. Overall 400 (81%) transformants yielded a positive green fluorescent protein signal, and of these, 248 (62% of the 400) displayed a localization pattern that was not cytosolic. Observations for many proteins with known localization patterns were consistent with published data derived from cell fractionation or large scale localization approaches. However, in many cases, high resolution microscopy provided additional information that indicated that proteins distributed to multiple subcellular locations. The majority of tagged enzymes localized to the endoplasmic reticulum (91), but others localized to mitochondria (27), peroxisomes (17), lipid droplets (23), and vesicles (53). We assembled enzyme localization patterns for phospholipid, sterol, and sphingolipid biosynthetic pathways and propose a model, based on enzyme localization, for concerted regulation of sterol and sphingolipid metabolism that involves shuttling of key enzymes between endoplasmic reticulum, lipid droplets, vesicles, and Golgi.
ffi cient ID-Based Threshold Random Key Pre-Distribution Scheme for Wireless Sensor Networks ∗

Security for wireless sensor networks (WSNs) has become an increasingly serious concern due to the requirement level of applications and hostile deployment areas. To enable secure services, cryptographic keys must be agreed upon by communicating nodes. Unfortunately, due to resource constraints, the key agreement problem in wireless sensor networks has become quite complicated. To tackle this problem, many public-key unrelated proposals which are considered more reasonable in cost than public key based approaches have been proposed so far including random based key pre-distribution schemes. One prominent branch of these proposals is threshold random key pre-distribution schemes. However these schemes still introduce either communication overhead or both communication and computational overheads to resource constrained sensor nodes. Considering this issue, we propose an efficient ID-based threshold random key pre-distribution scheme that not only retains all the highly desirable properties of the schemes including high probability of establishing pairwise keys, tolerance of node compromise but also significantly reduces communication and computational costs of each node. The proposed scheme is validated by a thorough analysis in terms of network resiliency and related overheads. In addition, we also propose a supplementary method to significantly improve the security of pairwise keys established indirectly. key words: ID-based, random key pre-distribution, key agreement, threshold, security, wireless sensor networks
AutoLeadGuitar: Automatic generation of guitar solo phrases in the tablature space

We present AutoLeadGuitar, a system for automatically generating guitar solo tablatures from an input chord and key sequence. Our system generates solos in distinct musical phrases, and is trained using existing digital tablatures sourced from the web. When generating solos AutoLeadGuitar assigns phrase boundaries, rhythms and fretboard positions within a probabilistic framework, guided towards chord tones by two user-specified parameters (chord tone preference during and at the end of phrases). Furthermore, guitar-specific ornaments such as hammer-ons, pull-offs, slides and string bends are built directly into our model. Listening tests with our model output confirm that the inclusion of chord tone preferences, phrasing, and guitar ornaments corresponds to an increase in user satisfaction.
Parallel implementation of 3D modelling of indoor environment using Microsoft Kinect sensor

3D visual modelling of indoor space will not only provide the detailed knowledge about the environment but also rich contextual information of the existing objects. In this paper, we propose a parallel implementation of 3D modelling of indoor environment using Microsoft Kinect depth camera. 3D maps are generated by Simultaneous Localization And Mapping [SLAM] technique. These 3-D maps will be more useful in Context aware and in Robotics applications. Iterative Closest Point [ICP] with initial guess by RANSAC is used for pair alignment. Many tasks of pair registration are parallelised using OpenMP and the performance evaluation of both sequential and parallel implementations are compared. Simulation results demonstrate that OpenMP based parallel implementation has achieved a speedup factor of 3.7.
Loss and reappearance of gap junctions in regenerating liver

Changes in intercellular junctional morphology associated with rat liver regeneration were examined in a freeze-fracture study. After a two-thirds partial hepatectomy, both gap junctions and zonulae occludentes were drastically altered. Between 0 and 20 h after partial hepatectomy, the junctions appeared virtually unchanged. 28 h after partial hepatectomy, however, the large gap junctions usually located close to the bile canaliculi and the small gap junctions enmeshed within the strands of the zonulae occudentes completely disappeared. Although the zonulae occludentes bordering the bile canaliculi apparently remained intact, numerous strands could now be found oriented perpendicular to the canaliculi. In some instances, the membrane outside the canaliculi was extensively filled with isolated junctional strands, often forming very complex configurations. About 40 h after partial hepatectomy, very many small gap junctions reappeared in close association with the zonulae occludentes. Subsequently, gap junctions increased in size and decreased in number until about 48 h after partial hepatectomy when gap junctions were indistinguishable in size and number from those of control animals. The zonulae occludentes were again predominantly located around the canalicular margins. These studies provide further evidence for the growth of gap junctions by the accretion of particles and of small gap junctions to form large maculae.
Antivirus security: naked during updates

The security of modern computer systems heavily depends on security tools, especially on antivirus software solutions. In the anti‐malware research community, development of techniques for evading detection by antivirus software is an active research area. This has led to malware that can bypass or subvert antivirus software. The common strategies deployed include the use of obfuscated code and staged malware whose first instance (usually installer such as dropper and downloader) is not detected by the antivirus software. Increasingly, most of the modern malware are staged ones in order for them to be not detected by antivirus solutions at the early stage of intrusion. The installers then determine the method for further intrusion including antivirus bypassing techniques. Some malware target boot and/or shutdown time when antivirus software may be inactive so that they can perform their malicious activities. However, there can be another time frame where antivirus solutions may be inactive, namely, during the time of update. All antivirus software share a unique characteristic that they must be updated at a very high frequency to provide up‐to‐date protection of their system. In this paper, we suggest a novel attack vector that targets antivirus updates and show practical examples of how a system and antivirus software itself can be compromised during the update of antivirus software. Local privilege escalation using this vulnerability is also described. We have investigated this design vulnerability with several of the major antivirus software products such as Avira, AVG, McAfee, Microsoft, and Symantec and found that they are vulnerable to this new attack vector. The paper also discusses possible solutions that can be used to mitigate the attack in the existing versions of the antivirus software as well as in the future ones. Copyright © 2013 John Wiley & Sons, Ltd.
EnzymicDeterminationof Cholesterolin Serum Lipoproteins Separatedby Electrophoresis

We describea reliable, straightforward procedurefor measuring the cholesterol content of serum lipoproteins separated by electrophoresis on cellulose acetate. The lipoprotein fractions are made visible by useof an enzymic reagentand thenquantitated by densitometry. Standard electrophoresis equipmentisusedand theprocedure requires just over 1 h for completion. All major fractions except chylomicrons are detected readily. Accuracy and precision agree favorablywithresults reportedforgenerally accepted methods. Concentration and color development are linearly related to cholesterol concentrations up to 1.5 g/Iiter in a given lipoprotein fraction. We recommend this method for use in assessing high-density Iipoprotein cholesterol and as an aid in lipoprotein phenotyping.
REU site: bio-grid initiatives for interdisciplinary research and education

The Bio-Grid REU (Research Experience for Undergraduates) Site offers undergraduate students to participate in the research activities associated with the Bio-Grid Initiatives conducted at UConn. The initiatives aim at advancing the application of modern computing infrastructures and information technology to research and practice in various life-science disciplines. Training seminars are designed to equip students with preliminary background knowledge such as basic parallel programming skills, large-scale data analytics, and middleware support, etc., as well as some ongoing life-science research projects using these computing methods. Students participate in research activities associated with several collaborative projects supported by a campus-wide computational and data grid. The Site was supported by the national Science Foundation from 08-10 and 12-14. The REU project introduces such interdisciplinary research work to students in the early stage of their academic career to spark their interest. The project aims at preparing future software engineers to formalize and solve emerging life-science problems, as well as life-science researchers with a strong background in high-performance computing.
A dynamic feature map integration approach for predicting human fixation

In computational visual attention systems, various feature maps are constructed and integrated to yield the final fixation map. These maps highlight interesting regions within an image that are deemed salient according to some task. According to Ehinger et al. [1], by combining three types of feature maps, the performance is boosted in terms of predicting where human fixate when searching for pedestrians. Although this procedure is effective, it lacks a dynamic approach. All three feature maps are computed for each image, resulting in efficiency performance degradation. In addition, combing all the feature maps does not always give the optimum performance for each image in the dataset. Hence, in this paper, we propose a dynamic way of integrating these feature maps on image basis. Our proposed approach is based upon estimating a quality score of a feature map using a regression model. We show that when estimating a quality score of a feature map accurately, it is possible to dynamically select appropriate feature maps to achieve better fixation prediction accuracy and efficiency than that achieved by integrating all feature maps [1].
Towards Process Provenance for Existing Applications

Currently, there are no general provenance management systems or tools available for existing applications. Our goal is to develop provenance technology that is flexible and adaptable to the wide range of requirements of software applications. By consolidating provenance information for a variety of applications, we can provide a uniform environment for querying, sharing, and re-using provenance in large-scale, collaborative settings. In this paper, we describe our framework for provenanceenabling existing applications. Our approach is applicable to a variety of software systems that are process driven. As a concrete example, we describe a working plug-in for an open source application in scientific
Long-Range Synchrony in the γ Band: Role in Music Perception

Synchronization seems to be a central mechanism for neuronal information processing within and between multiple brain areas. Furthermore, synchronization in the γ band has been shown to play an important role in higher cognitive functions, especially by binding the necessary spatial and temporal information in different cortical areas to build a coherent perception. Specific task-induced (evoked) γ oscillations have often been taken as an indication of synchrony, but the presence of long-range synchrony cannot be inferred from spectral power in the γ range. We studied the usefulness of a relatively new measure, called similarity index to detect asymmetric interdependency between two brain regions. Spontaneous EEG from two groups—musicians and non-musicians—were recorded during several states: listening to music, listening to text, and at rest (eyes closed and eyes open). While listening to music, degrees of the γ band synchrony over distributed cortical areas were found to be significantly higher in musicians than non-musicians. Yet no differences between these two groups were found at resting conditions and while listening to a neutral text. In contrast to the degree of long-range synchrony, spectral power in the γ band was higher in non-musicians. The degree of spatial synchrony, a measure of signal complexity based on eigen-decomposition method, was also significantly increased in musicians while listening to music. As compared with non-musicians, the finding of increased long-range synchrony in musicians independent of spectral power is interpreted as a manifestation of a more advanced musical memory of musicians in binding together several features of the intrinsic complexity of music in a dynamical way.
An observing system simulation experiment for hydros radiometer-only soil moisture and freeze-thaw products

Abstract : An important issue in the development of a dedicated space borne soil moisture sensor has been concern over the reliability of soil moisture retrievals in densely vegetated areas and the global extent over which retrievals will be possible. Errors in retrieved soil moisture can originate from a variety of sources within the measurement and retrieval process. In addition to instrument error, three key contributors to retrieval error are the masking of the soil microwave signal by vegetation, the interplay between nonlinear retrieval physics and the relatively poor spatial resolution of space borne sensors, and retrieval parameter uncertainty. Quantification of these errors requires the realistic specification of land surface soil moisture heterogeneity and spatial vegetation patterns. Since detailed soil moisture patterns are currently difficult to obtain from direct observations, an attractive alternative is the application of an observing system simulation experiment (OSSE) in which simulated land surface states are propagated through the sensor measurement and retrieval process to investigate and constrain expected levels of retrieval error. This manuscript describes results from an OSSE designed out to simulate the impact of land surface heterogeneity, instrument error, and retrieval parameter uncertainty on radiometer-only soil moisture products derived from the NASA ESSP Hydrosphere State (Hydros) mission.
Model transformation via pull-backs: algebra vs. heuristics ?

The paper presents a formal algebraic framework, where model transformation can be specified in a truly generic way: the source and the target metamodels are parameters of the entire procedure. In more detail, the operation is specified as a special diagram operation well known in category theory under the name of pull-back. At the heart of the approach is a mapping between the two metamodels, which gov- erns the entire translation procedure. An essential feature of the framework is that this mapping is allowed to map elements of one metamodel to elements that can be derived in the other metamodel (by posing suitable queries to it) but are not immedi- ately present in it. This makes the pattern applicable to a wide range of practically interesting situations.
THE EFFECTS OF INHIBITORS OF RNA AND PROTEIN SYNTHESIS ON CHLOROPLAST STRUCTURE AND FUNCTION IN WILD-TYPE CHLAMYDOMONAS REINHARDI

Wild-type cells of the unicellular green alga Chlamydomonas reinhardi have been grown for several generations in the presence of rifampicin, an inhibitor of chloroplast DNA-dependent RNA polymerase, spectinomycin and chloramphenicol, two inhibitors of protein synthesis on chloroplast ribosomes, and cycloheximide, an inhibitor of protein synthesis on cytoplasmic ribosomes. The effects of cycloheximide are complex, and it is concluded that this inhibitor cannot give meaningful information about the cytoplasmic control over the synthesis of chloroplast components in long-term experiments with C. reinhardi. In the presence of acetate and at the appropriate concentrations, the three inhibitors of chloroplast protein synthesis retard growth rates only slightly and do not affect the synthesis of chlorophyll; however, photosynthetic rates are reduced fourfold after several generations of growth. Each inhibitor produces a similar pattern of lesions in the organization of chloroplast membranes. Only rifampicin prevents the production of chloroplast ribosomes.
Notice of RetractionInternet of things technology applied in medical information

Internet of things technology used in medical information is adopt in this paper. Firstly the structure feature of internet of things technology is researched. Then analyzing the development of EPC System Network, especially Internet of things technology applied in medical information. Therefore the remote consultation System based on internet of things is adopted, it is helpful to solve the area and time of the consultation system, furthermore the visiting rate for conventional patients is increasing, then the patient will be diagnosis and treatment immediately to avoiding the grew worth, therefore the present situation of medical resources is improved by this method.
Overreaction Effect in Indian Stock Market

In this paper we examine if there is any overreaction effect present in Indian Stock market. We have used monthly closing adjusted prices of 500 stocks comprising S&P CNX 500 Equity Index over the period March, 1996 to March, 2007 and methodology as proposed by De Bondt and Thaler (1985) and Chan (1988). Our findings reveal a presence of statistically significant but asymmetric overreaction effect in Indian stock market. Contrarian investment strategy has been found to be economically feasible, generating abnormally positive returns on market-adjusted as well as risk-adjusted basis which are largely attributable to the extremely positive returns to loser stocks during the test period. Our findings cast serious objections against the informational efficiency of Indian stock market suggesting that investors can earn superior returns by making use of the information on past prices of securities.
A similarity analysis and clustering algorithm for video based on moving trajectory time series wavelet transform of moving object in Video

Time-series data mining is a very important element of data mining. As a typical time-series data, video data has been widely used for many applications such as film, medical, sports and traffic areas. In this paper we integrates several technologies into the video moving object time-series data mining. We propose a similarity analysis and clustering algorithm for videos based on the moving trajectory time series data wavelet transform of the moving object in the videos. Utilizing the image difference technique, our algorithm detects the moving objects from the scene surveillance video, calculates the centroid of the moving object, and uses the centroid series to character the moving trajectory of the object. Then we use wavelet analysis method to achieve dimensionality reduction and get the first k wavelet coefficient to substitute the original motion time-serial data. Based on the Euclidean distance, we utilize two judgement rules to determine the similarity of time-serial data and cluster them, use the rules to perform the similarity search and clustering of video. We apply the algorithm to athletic sports videos analysis.
A systematic method for illusory contour

The smooth completion of fragmented curve segments even when sufficient contrast is lacking or in the presence of occlusions is an intrinsic skill of human visual system and illusory contour shows one of the compelling examples. This paper focuses on illusory contour extraction. We propose an algorithm to simulate the perceptual completion process of illusory contour. This approach hinges on two basic features: the orientations of edges and the key points. From these two kinds of features a contour organization process is performed and then the contour gaps are completed by Euler spiral curves. Tests have been administered on classical illusory contour figures. These experiments show that our algorithm is superior to previous works with respect to simplicity and can tackle two kinds of contour gaps in a robust way.
Clustering approach for false alerts reducing in behavioral based intrusion detection systems

Behavioral intrusion detection systems are known by their high false alerts rates. In this paper, we propose to combine a behavioral intrusion detection approach with a clustering approach in order to obtain a set of clusters with different false alerts rates. The order of these clusters with respect to their false alerts rates will be considered as an alerts prioritization. Hence, new alerts will be classified to the closest cluster and processed according to their cluster priority. Experimental results, using a simulated IDS, show that our approach is able to reduce the false alerts rate produced by behavioral intrusion detection systems.
Detection and elimination of the topological threats in mobile ad hoc network: A new approach

A mobile ad hoc network (MANET) is basically a dynamic wireless network in which each individual node acts as a router. Since MANET is infrastructure-less and has no clear line of defense, it is accessible to both legitimate network users and malicious attackers. Hence, to prevent the network from various attacks, scheming of a robust security design is mandatory. Various approaches have been proposed with different cryptographic solutions to countermeasure the attacks against MANET but most of them have focused on specific security threats. In our approach we mainly emphasize on the topology orientation and energy efficiency of nodes in the ad hoc network.