Miracle-dz/UniFAR-FTUs huggingface dataset:
Dictyostelium Hip1r contributes to spore shape and requires epsin for phosphorylation and localization

Clathrin-coated pits assemble on the plasma membrane to select and sequester proteins within coated vesicles for delivery to intracellular compartments. Although a host of clathrin-associated proteins have been identified, much less is known regarding the interactions between clathrin-associated proteins or how individual proteins influence the function of other proteins. In this study, we present evidence of a functional relationship between two clathrin-associated proteins in Dictyostelium, Hip1r and epsin. Hip1r-null cells form fruiting bodies that yield defective spores that lack the organized fibrils typical of wild-type spores. This spore coat defect leads to formation of round, rather than ovoid, spores in Hip1r-null cells that exhibit decreased viability. Like Hip1r-null cells, epsin-null cells also construct fruiting bodies with round spores, but these spores are more environmentally robust. Double-null cells that harbor deletions in both epsin and Hip1r form fruiting bodies, with spores identical in shape and viability to Hip1r single-null cells. In the growing amoeba, Hip1r is phosphorylated and localizes to puncta on the plasma membrane that also contain epsin. Both the phosphorylation state and localization of Hip1r into membrane puncta require epsin. Moreover, expression of the N-terminal ENTH domain of epsin is sufficient to restore both the phosphorylation and the restricted localization of Hip1r within plasma membrane puncta. The results from this study reveal a novel interaction between two clathrin-associated proteins during cellular events in both growing and developing Dictyostelium cells.
The distribution and abundance of archaeal tetraether lipids in U.S. Great Basin hot springs

Isoprenoidal glycerol dialkyl glycerol tetraethers (iGDGTs) are core membrane lipids of many archaea that enhance the integrity of cytoplasmic membranes in extreme environments. We examined the iGDGT profiles and corresponding aqueous geochemistry in 40 hot spring sediment and microbial mat samples from the U.S. Great Basin with temperatures ranging from 31 to 95°C and pH ranging from 6.8 to 10.7. The absolute abundance of iGDGTs correlated negatively with pH and positively with temperature. High lipid concentrations, distinct lipid profiles, and a strong relationship between polar and core lipids in hot spring samples suggested in situ production of most iGDGTs rather than contamination from local soils. Two-way cluster analysis and non-metric multidimensional scaling (NMS) of polar iGDGTs indicated that the relative abundance of individual lipids was most strongly related to temperature (r2 = 0.546), with moderate correlations with pH (r2 = 0.359), nitrite (r2 = 0.286), oxygen (r2 = 0.259), and nitrate (r2 = 0.215). Relative abundance profiles of individual polar iGDGTs indicated potential temperature optima for iGDGT-0 (≤70°C), iGDGT-3 (≥55°C), and iGDGT-4 (≥60°C). These relationships likely reflect both physiological adaptations and community-level population shifts in response to temperature differences, such as a shift from cooler samples with more abundant methanogens to higher-temperature samples with more abundant Crenarchaeota. Crenarchaeol was widely distributed across the temperature gradient, which is consistent with other reports of abundant crenarchaeol in Great Basin hot springs and suggests a wide distribution for thermophilic ammonia-oxidizing archaea (AOA).
Performance Estimation of Overlaid Lightpath Networks for Lambda Users

In future, lightpaths will be dynamically provided to users by the use of GMPLS but lightpath networks may be overlaid to the users. When the users want to find idle wavelengths by probing for lightpath provisioning, they may not be able to obtain information about all the idle wavelengths along the route in the overlaid lightpath network. They are only allowed to include a limited number of wavelengths for probing. In order to avoid wavelength contention and reduce blocking probability, we present a method for performance estimation of overlaid lightpath networks from a user side. In this method, we try to find wavelengths that are likely to be idle. This is done by the wavelength- based rank accounting for each pair of a source and a destination. Rank is calculated each time a lightpath is provisioned at a pair regardless of the success or failure of the provisioning. We demonstrate that the method of estimation is effective through simulation experiments and also present an initial implementation of a lightpath-provisioning system that uses our performance estimation method based on the GMPLS RSVP-TE mechanism.
One-pass frame level budget allocation in video coding using inter-frame dependency

In this paper, a one-pass budget allocation algorithm is proposed for hybrid video coding. Taking the percentage of skipped MBs as the measure of inter-frame dependency, the optimal budget allocation is first modeled for a two-frame case. Then this model is extended to a practical method in slow movement scenario, where the information of inter-frame dependency is predicted based on the previously coded frames. Simulations show that the proposed algorithm outperforms the recommended MB and frame level rate control algorithms in H.264/AVC reference software JM 15.1. For eight CIF sequences with slow movement, significant gains of 0.91 dB and 0.43 dB on average (1.66 dB and 1.49 dB at maximum) were obtained over the reference MB and frame level rate control, respectively. Considering that the computational complexity by the proposed algorithm is quite low (less than 1% of the total coding time when fast motion estimation algorithm is enabled), it is quite appealing for real-time video applications.
A priority based virtual network bandwidth guarantee method in software defined network

Virtual Network (VN) bandwidth guarantee is an important issue in scenarios such as enterprise network and multi-tenant datacenter. The Software Defined Network (SDN) is sophisticated technology for network control and management. In this paper we proposed a VN bandwidth guarantee method which use SDN controller and Open vSwitch to allocate the available bandwidth by VN's priority. According to simulation results, the proposed method can effectively guarantee the bandwidth for VNs while maximizing the bandwidth utilization.
Design and Implementation of WebGIS Based on Distributed Components

WebGIS serves as an important means of communicating, conveying and presenting geographical information and knowledge to the public through Internet. However, due to its technical complexity and inability of tailored functions, communities lacking the expertise and resources cannot make full use of this technology. This paper presents a novel development approach for WebGIS based on dynamical integration of distributed components technology, which is potential to overcome the problems. WebGIS applications developed with this approach can run at multi-mode, including stand-alone and network, and allows users to add expected GIS components to the system at run time. The mechanism of each working mode is explained and key technologies supporting the mechanism are discussed. To validate feasibility of the approach, a prototype called FreeXGIS is proposed, and the architecture design and implementation of several elementary components of the FreeXGIS are discussed in detail. It provides a paradigm for developing WebGIS applications by employing distributed GIS components. Also several future works to enhance the performance and practicability of WebGIS developed with this approach are presented at last.
Digital Media Knowledge Management with MPEG-7

Knowledgeandmanagement donotﬁtprimafacie. Managementaims at goal-oriented action while in many sciences, especially inthe humanities, knowledge and the creation of knowledge have adiscursive nature. This process of knowledge creation, interpret-ing and discussing selected observed or postulated phenomena, isleading to some progress but hard to control. It is important torecognize that the process needs a tight interplay between commu-nicative acts and the organization of knowledge. Furthermore, thiscan only happen in the context of certain media combinations. Thekey ability of computer science to re-combine digital media justi-ﬁes why computer science deals with digital media management.The key point is simple: it is impossible to develop and debateconcepts separately from the media through which they are com-municated. This appears to argue strongly against the possibilityof purely abstract conceptual modeling or ontology building, with-out explicit consideration how these ontologies are captured andcommunicated via media.The ﬁrst aspect of our conceptual framework are three knowl-edgeoperationsonmediacalledtranscription,localizationand(re-)addressing developed in the context of studying media operationsfrom a cultural sciences perspective [2] which has applications incooperativeknowledgemanagement(KM)[3]. Forashortoverviewthe operations are deﬁned as follows:
Comprehensive die-level assessment of design rules and layouts

Co-development of design rules and layout methodologies is the key to successful adoption of a technology. In this work, we propose Chip-level Design Rule Evaluator (ChipDRE), the first framework for systematic evaluation of design rules and their interaction with layouts, performance, margins and yield at the chip scale (as opposed to standard cell-level). A “good chips per wafer” metric is used to unify area, performance, variability and yield. The framework uses a generated virtual standard-cell library coupled with a mix of physical design, semi-empirical, and machine-learning-based models to estimate area and delay at the chip level. The result is a unified design-quality estimate that can be computed fast enough to allow using ChipDRE to optimize a large number of complex design rules. For instance, a study of well-to-active spacing rule reveals a non-monotone dependence of rule value to chip area (although the dependence to cell area is monotone) due to delay changes coming from well-proximity effect.
Predicting time series of individual trends with resolution adaptive ARIMA

It is important to analyze and predict the time series of traffic trends from the perspective of network operation and management, such as that in fine-grained traffic control, capacity dimensioning, and traffic engineering. However, it is difficult to accurately predict traffic trends because this strongly depends on the time, the type of content, and its popularity. We propose new methods of accurately predicting traffic trends in this paper. Our methods are based on a wavelet transform and the auto regressive integrated moving average (ARIMA) model. We first demonstrate that applying a wavelet transform can improve the accuracy of prediction compared to the original ARIMA model; however, it still has large error due to the fixed time granularity of each resolution. We therefore propose a resolution adaptive ARIMA (RA-ARIMA) model to improve accuracy by changing the time granularity according to the degree of resolution. We demonstrate that by applying it to the real monitored data in a major P2P file-sharing system the normalized mean squared error of RA-ARIMA can be reduced by more than 20% of that of Wavelet-ARIMA. Moreover, we also compared RA-ARIMA with other existing models to prove the accuracy of our proposed method.
A Multi-factor risk model for the Indian Stock Market

The paper attempts to find the evidence of a multi factor model for explaining stock price returns in the Indian stock market. It makes use of the technique of statistical factor analysis. The results of the factor analysis show that a five factor model is appropriate for explaining the returns generation process in India. The explanatory power of this five factor model is significantly better for the five factor model, with an average R2 of 0.871, as compared to an R2 of 0.503 for the single index model. Further, the multi factor is significantly better than the single index model in explaining returns of small stocks.
Speaker identification system using Wavelet Transform and neural network

The speech enhancement that is concerned with the processing of corrupted or noisy speech signal in order to improve the quality of speaker recognition system is presented. This idea of noise cancellation for the speech signal is processed to increase the speaker recognition system robustness. The presented system is divided into two blocks: 1. Discrete Wavelet Transform DWT and Adaptive Linear Neuron (Adaline) Enhancement Method (DWADE). 2. Wavelet Gender Discrimination (WGD) and Speaker Recognition using Discrete Wavelet Transform (DWT) Power Spectrum Density (PSD). The tested signal is enhanced up to 15 dB by Wavelet Transform and Adaline Enhancement Method that increases the speaker recognition rate. The accomplished speaker recognition rate is about 95%. Back Propagation Feed Forward Neural Network (BPFFNN) perceptron classification methods are used.
Strategic Approach for Successful Implementation of Management Information System for Manufacturing Industry

Purpose - To focus on challenges & strategic approaches in implementing „Management Information System (MIS)‟ for process equipment (For Ex: Pressure Vessels, Boilers, Heat Exchangers, Agitators, Dryers, Storage Containers) manufacturing industry. Approach - Case study Findings - There was about 20% of productivity improvement after successful implementation of MIS for various divisions in the organization. Practical implications - One can understand better in the context of process equipment manufacturing industry, the concepts of management information system, its impact on productivity & financials. The strategic approach indicated here will help organizations, before introducing MIS, to take appropriate actions in efficient implementation. Originality/value – This study will serve as a point of reference for future studies in this area of concern because of the inadequate academic literature and empirical findings relating to implementation of MIS in process equipment manufacturing industry.
The Mitochondrial Protein Import Machinery: Role in Infection, Apoptosis, and Organelle Integrity

Dissertation zur Erlangung des akademischen Grades doctor rerum naturalium Novel role of human Sam50 in the maintenance of mitochondrial cristae morphology. Submitted. forscht werden können. Abstract Human mitochondria comprise about 1500 to 2000 proteins. While only 13 proteins are encoded by the mitochondrial DNA the vast majority of mitochondrial proteins is encoded in the nucleus, synthe‐ sized in the cytosol, and translocated into mitochondria by a special protein import machinery. Al‐ though many details are now known about its function several important aspects of protein import in mitochondria were not unraveled yet. To begin with, the influence of the different mitochondrial import complexes on apoptosis is not known. Further, the exact role of the protein import machiner‐ ies in mitochondria in the pathogenesis of Neisseria gonorrhoeae has not been clarified yet. More‐ over, the question whether factors involved in protein import are required for the maintenance of the mitochondrial morphology is still unsolved. In order to address these open issues, permanent cell lines were generated within the frame of the present thesis in which the expression of single proteins implicated in mitochondrial import can be inhibited via RNA interference (RNAi). Using these cell lines, it was investigated whether the proapop‐ totic proteins Bax and Bak require the import machinery in order to gain access to the outer mito‐ chondrial membrane. The presence of both proapoptotic proteins in mitochondria is essential during apoptosis as Bax and Bak oligomerize in the outer mitochondrial membrane leading to the execution of apoptosis. In contrast to earlier publications, results presented here prove that the translocation of Bax and Bak into the outer mitochondrial membrane occurs independent of its import machineries. The second part of this thesis explores the influence of mitochondrial import proteins on the patho‐ genesis of Neisseria gonorrhoeae. The neisserial protein PorB translocates into the mitochondria of host cells during infection and induces apoptosis. Because of structural similarities of PorB to a cer‐ tain class of proteins in the outer mitochondrial membrane, it was assumed that PorB would follow the import pathway of these endogenous proteins into the outer mitochondrial membrane. Surpris‐ ingly, it was found within the present study that PorB is not recognized by all complexes implicated in this import pathway. As a consequence, it translocates into the inner mitochondrial membrane to exert its toxic effect on the host cell. In a further project, the role of import complexes of the …
Agilize Spectrum Sensing for Cognitive Radios

In cognitive radio (CR) networks, cognitive users need to continuously monitor spectrum to detect the presence of primary users, yet attain a reasonable throughput. In this paper, we exploit a scheme to detect the primary transmitting signal as quickly as possible using energy detection, besides a necessary transmission rate of CR networks is sustained. Also the relationship between time and frequency sensitivity in spectrum detection is given, whose product is a function of effective receive signal to noise ratio (SNR) of CR user.
Phylogeography of the supralittoral isopod Ligia occidentalis around the Point Conception marine biogeographical boundary

The Point Conception (PC) biogeographical boundary is defined by a transition between cold northern and warm southern water masses, accompanied by shifts in numerous ecological and environmental parameters. While these factors can potentially contribute to the genetic differentiation of lineages whose distributions span this boundary, few organisms exhibit genetic signatures of restricted gene flow across this region. We examine the effects of the PC boundary and other potential dispersal barriers on phylogeographical patterns in the rocky supralittoral isopod Ligia occidentalis. This isopod has a limited dispersal potential, its distribution spans the PC region, and it exhibits high levels of allopatric genetic differentiation south of PC.
Design of Optimal Period Interleaver in Turbo Codes

Interleaver plays a key role in the structure of turbo codes. The appropriate design of that, leads to achieve the good performance in a turbo code. Base on this fact, many researches have been done in order to design of best interleaver. Up to now, there are a variety of algorithms for design of interleaver such as Wang's algorithm. This algorithm is based on divisibility at which optimal period interleaver (OPI) has been introduced in order to failure to produce of low-weight codewords. Unfortunately, Wang did not propose method to generate the OPI. In this paper, not only an algorithm is proposed for finding OPI, but the performance of asymmetric turbo code using new generating method for OPI, is simulated. Results show that turbo codes using interleaver produced based on divisibility have better performance especially in high SNR rather than block and random interleavers.
The Mechanisms Underlying Chronic Inflammation in Rheumatoid Arthritis from the Perspective of the Epigenetic Landscape

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease that is characterized by synovial hyperplasia and progressive joint destruction. The activation of RA synovial fibroblasts (SFs), also called fibroblast-like synoviocytes (FLS), contributes significantly to perpetuation of the disease. Genetic and environmental factors have been reported to be involved in the etiology of RA but are insufficient to explain it. In recent years, accumulating results have shown the potential role of epigenetic mechanisms, including histone modifications, DNA methylation, and microRNAs, in the development of RA. Epigenetic mechanisms regulate chromatin state and gene transcription without any change in DNA sequence, resulting in the alteration of phenotypes in several cell types, especially RASFs. Epigenetic changes possibly provide RASFs with an activated phenotype. In this paper, we review the roles of epigenetic mechanisms relevant for the progression of RA.
New Normalization Methods for CDNA Microarray Data

MOTIVATION The focus of this paper is on two new normalization methods for cDNA microarrays. After the image analysis has been performed on a microarray and before differentially expressed genes can be detected, some form of normalization must be applied to the microarrays. Normalization removes biases towards one or other of the fluorescent dyes used to label each mRNA sample allowing for proper evaluation of differential gene expression. RESULTS The two normalization methods that we present here build on previously described non-linear normalization techniques. We extend these techniques by firstly introducing a normalization method that deals with smooth spatial trends in intensity across microarrays, an important issue that must be dealt with. Secondly we deal with normalization of a new type of cDNA microarray experiment that is coming into prevalence, the small scale specialty or 'boutique' array, where large proportions of the genes on the microarrays are expected to be highly differentially expressed. AVAILABILITY The normalization methods described in this paper are available via http://www.pi. csiro.au/gena/ in a software suite called tRMA: tools for R Microarray Analysis upon request of the authors. Images and data used in this paper are also available via the same link.
Development of the Self Reference Effect and Source Memory in Childhood

This research examined the development of episodic memory in 4to 6-year-old children. A defining characteristic of episodic memory is that it involves memory for the source or context in which items occurred, as well as memory for the items themselves. The present work builds on research in two areas. First, it considers the development of source memory in childhood. Research in this area has shown that compared to older children and adults, young children often perform poorly on source memory tasks. A principal aim was to determine the basis of this difficulty for young children. Second, it focuses on the self-reference effect (SRE) in memory. The SRE in memory refers to the superior memory that occurs when information is encoded in relation to the self relative to other types of contextual encoding (e.g., other-referent, semantic). Recently, SREs have been observed in item memory, but not source memory in children younger than 6 years of age. The present research was interested in investigating the basis of this disparity, and the role of the self in the development of episodic memory. A SRE paradigm in which source is operationalised as self versus other encoding-context has been used with young children (Sui & Zhu, 2005). This paradigm builds on research showing that self-recognition and the self-concept emerge early in development. Study items are pictures of common objects (e.g., chair, tree), and sources are photographs of the children themselves (self condition) or another child (other condition) pointing to the item. In the existing paradigm, the encoding phase is followed by a free recall test of items. Source memory is assessed for recalled items only. Whilst this paradigm has considerable potential for investigating the SRE and other types of source memory, there are some problems with the procedure.