Miracle-dz/UniFAR-FTUs huggingface dataset:
Complexed crystal structure of replication restart primosome protein PriB reveals a novel single-stranded DNA-binding mode

PriB is a primosomal protein required for replication restart in Escherichia coli. PriB stimulates PriA helicase activity via interaction with single-stranded DNA (ssDNA), but the molecular details of this interaction remain unclear. Here, we report the crystal structure of PriB complexed with a 15 bases oligonucleotide (dT15) at 2.7 Å resolution. PriB shares structural similarity with the E.coli ssDNA-binding protein (EcoSSB). However, the structure of the PriB–dT15 complex reveals that PriB binds ssDNA differently. Results from filter-binding assays show that PriB–ssDNA interaction is salt-sensitive and cooperative. Mutational analysis suggests that the loop L45 plays an important role in ssDNA binding. Based on the crystal structure and biochemical analyses, we propose a cooperative mechanism for the binding of PriB to ssDNA and a model for the assembly of the PriA–PriB–ssDNA complex. This report presents the first structure of a replication restart primosomal protein complexed with DNA, and a novel model that explains the interactions between a dimeric oligonucleotide-binding-fold protein and ssDNA.
Heterogeneous domain adaptation using previously learned classifier for object detection problem

When a trained classifier on specific domain (source domain) is applied in a different domain (target domain) the accuracy is degraded significantly. The main reason for this degradation is the distribution difference between the source and target domains. Domain adaptation aims to lessen this accuracy degradation. In this paper, we focus on adaptation for heterogeneous domains (where the source and target domain may have different feature spaces) and propose a novel algorithm which uses the pre-learned source classifier to adapt a trained target classifier. In this method, a max-margin classifier is trained on the target data and is adapted using the offset of the source classifier. The main strength of this adaptation is its low complexity and high speed which makes it a proper adaptation choice for problems with large-size datasets such as object detection. We test our method on human detection datasets and the experimental results show the significant improvement in accuracy, in comparison to several baselines.
Architectures for distributed, interactive and integrated traffic simulations

The rapid development of Intelligent Transport Systems has created new objectives and requirements for traffic simulation models. The development of visualization, procedural modeling, decision support requirements mean that simulation models need to satisfy different requirements. The chapter presents methods and tools to create distribute, integrated and interactive transport simulations, to enable the holistic exploration of complex transport systems, to test different strategies for monitoring and control and for training personnel. The integrated simulation is built leveraging gaming technologies, integrating commercial or off-the-shelf simulations using methods from distributed simulation and procedural modeling techniques.
The causes of customer satisfaction in telecommunication service: An empirical study

This study intends to identify and empirically test the antecedents of customer satisfaction and loyalty in Chinese telecommunication services. We conducted two studies. In the first study, we utilized an in-depth interview method to obtain variables to be used in the second part of the study. In the second study, we investigated the relationship between these factors obtained in study one and customer satisfaction, empirically. The results suggest that customer perceptions about 5 attributes of telecom service are key factors influencing customer satisfaction. Implications for research and practice are discussed.
Productivity and Efficiency : Evidence from the Chinese Regional Economies 1

Since the initiative of economic reform in the late 1970s, the Chinese economy has sustained a continuously high rate of annual growth. This seemingly miraculous growth has attracted the attention of many economists in the world. In particular, major efforts have been made to understand the role of efficiency and productivity in economic growth in the post-reform mainland Chinese economy. However, most previous studies have focused only on the industrial or agricultural sectors, perhaps due to the limitation of statistics. This paper presents an economy-wide study and hence attempts to fill the void in the literature. A stochastic frontier method is used to estimate productivity growth, which is decomposed into two components: technological progress and efficiency change. The former refers to shifts in the frontier and the latter to movement towards the frontier. Applying the newly released regional GDP data, this study aims to (1) examine the contribution of productivity to economic growth in China, (2) investigate the sources of productivity growth in the reforming Chinese economy, and (3) shed some light on the trend of convergence and catch-up in terms of productivity performance among China’s regional economies in the 1980s and 1990s. 1 Work on this paper was supported by the Individual Grant Program, FECEL, UWA. The author thanks Jakob Madsen, Michael McAleer and Paul Miller for their valuable comments on an early draft, and Li Shantong and Hou Yongzhi, Development Research Centre, the State Council, P.R. China, for their assistance with Chinese statistics.
The Transcription Factor C/EBP-β Mediates Constitutive and LPS-Inducible Transcription of Murine SerpinB2

SerpinB2 or plasminogen activator inhibitor type 2 (PAI-2) is highly induced in macrophages in response to inflammatory stimuli and is linked to the modulation of innate immunity, macrophage survival, and inhibition of plasminogen activators. Lipopolysaccharide (LPS), a potent bacterial endotoxin, can induce SerpinB2 expression via the toll-like receptor 4 (TLR4) by ∼1000-fold over a period of 24 hrs in murine macrophages. To map the LPS-regulated SerpinB2 promoter regions, we transfected reporter constructs driven by the ∼5 kb 5'-flanking region of the murine SerpinB2 gene and several deletion mutants into murine macrophages. In addition, we compared the DNA sequence of the murine 5′ flanking sequence with the sequence of the human gene for homologous functional regulatory elements and identified several regulatory cis-acting elements in the human SERPINB2 promoter conserved in the mouse. Mutation analyses revealed that a CCAAT enhancer binding (C/EBP) element, a cyclic AMP response element (CRE) and two activator protein 1 (AP-1) response elements in the murine SerpinB2 proximal promoter are essential for optimal LPS-inducibility. Electrophoretic mobility shift (EMSA) and chromatin immunoprecipitation (ChIP) assays demonstrated that LPS induces the formation of C/EBP-β containing complexes with the SerpinB2 promoter. Importantly, both constitutive and LPS-induced SerpinB2 expression was severely abrogated in C/EBP-β-null mouse embryonic fibroblasts (MEFs) and primary C/EBP-β-deficient peritoneal macrophages. Together, these data provide new insight into C/EBP-β-dependent regulation of inflammation-associated SerpinB2 expression.
Patterns of Presynaptic Activity and Synaptic Strength Interact to Produce Motor Output

Motor neuron activity is coordinated by premotor networks into a functional motor pattern by complex patterns of synaptic drive. These patterns combine both the temporal pattern of spikes of the premotor network and the profiles of synaptic strengths (i.e., conductances). Given the complexity of premotor networks in vertebrates, it has been difficult to ascertain the relative contributions of temporal patterns and synaptic strength profiles to the motor patterns observed in these animals. Here, we use the leech (Hirudo sp.) heartbeat central pattern generator (CPG), in which we can measure both the temporal pattern and the synaptic strength profiles of the entire premotor network and the motor outflow in individual animals. In this system, a series of motor neurons all receive input from the same premotor interneurons of the CPG but must be coordinated differentially to produce a functional pattern. These properties allow a theoretical and experimental dissection of the rules that govern how temporal patterns and synaptic strength profiles are combined in motor neurons so that functional motor patterns emerge, including an analysis of the impact of animal-to-animal variation in input to such variation in output. In the leech, segmental heart motor neurons are coordinated alternately in a synchronous and peristaltic pattern. We show that synchronous motor patterns result from a nearly synchronous premotor temporal pattern produced by the leech heartbeat CPG. For peristaltic motor patterns, the staggered premotor temporal pattern determines the phase range over which segmental motor neurons can fire while synaptic strength profiles define the intersegmental motor phase progression realized.
Multi-kernel metric learning for person re-identification

In this paper, we propose a new Multi-kernel Metric Learning (MKML) approach to enhance the performance of person re-identification using adaptive weighted Multi-kernel. The intuition behind our approach is that different features, i.e., low-level and middle-level features, have different nature and thus discriminating capability, utilizing different kernels could map these features into sub-spaces, which helps to improve the discrimination among features. The kernels are combined with an adaptive weighting strategy to get an efficient kernel space. The Fisher Discriminant Analysis (FDA) is used to learn the metric in the learned weighted kernels space that enhances the robustness of metric to discriminate among classes. Experiments on two challenging person reidentification datasets, i.e., VIPeR and CUHK01, demonstrated that our approach is effective.
THE DYNAMICS OF CONSUMER BEHAVIOR: NOVELTY AND FRAMING EFFECTS

Little is known about the effect of message framing on conservation behavior over time. In a randomized controlled trial with residential households, we use advanced metering and information technologies to test how different messages about household energy use impact the dynamics of conservation behavior down to the appliance level. Our results, based on 374 million panel observations of kilowatt-hour (kWh) electricity consumption for 118 households over 9 months, show that differences in behavioral responses due to message framing become more significant over time. We find that a health-based frame, in which households consider the human health effects of their marginal electricity use, induced persistent energy savings behavior of 8-10% over 100 days; whereas a more traditional cost savings frame, drove sharp attenuation of treatment effects after 2 weeks with no significant savings versus control after 7 weeks. We discuss implications for the design of effective information campaigns to engage households in conservation behavior.
N ° 2007 – 15 October MIRAGE , UPDATED VERSION OF THE MODEL FOR TRADE POLICY ANALYSIS

The possible failure of negotiation in the Doha Round emphasizes how complex and controversial the stakes of trade policies are. Numerous new preferential agreements are in project, while the future of multilateral liberalisation remains unclear. In this context, delivering a rigorous and detailed quantitative analysis of a large scope of trade agreements is most useful, for policy-makers as well as for the public debate.
Instant Human Face Attributes Recognition System

The objective of this work is to provide a simple and yet efficient tool for human attributes like gender, age and ethnicity by the human facial image in the real time image as we all aware this term that “Real-Time frame rate is a vital factor for practical deployment of computer vision system”. In this particular paper we are trying to presents the progress towards face detection and human attributes classification system. We have developed an algorithm for the classification of gender, age and race from human frontal facial image As the basis of the classifier proposed algorithm uses training set neuron receptors that process visual information a study of the several variants of these classifiers and shows the principal possibility of sex determination, assessment of a person's age on a scale (adult - children) and recognition of race by using the neuron-like receptors.
A Survey of Automatic Event Detection in Multi-Camera Third Generation Surveillance Systems

Third generation surveillance systems are largely requested for intelligent surveillance of different scenarios such as public areas, urban traffic control, smart homes and so on. They are based on multiple cameras and processing modules that integrate data coming from a large surveillance space. The semantic interpretation of data from a multi-view context is a challenging task and requires the development of image processing methodologies that could support applications in extensive and real-time contexts. This paper presents a survey of automatic event detection functionalities that have been developed for third generation surveillance systems with a particular emphasis on open problems that limit the application of computer vision methodologies to commercial multi-camera systems.
Surface reconstruction from 3D scattered points with normals using both delaunay tetrahedralization and implicit function

A robust visualization method for reconstructing surfaces from 3D scattered points with normals is proposed. The method is based on both the Delaunay tetrahedralization and the implicit function. The method enables to reduce total computational costs of the surface visualization by using the Delaunay tetrahedralization mainly. Even if some unexpected surfaces are generated in a result of the Delaunay tetrahedralization, the method can modify the result by using an implicit function. In experiments, some results are shown as examples of applying the method.
GE's Crotonville : a staging ground for corporate revolutions : lessons for the CEO

Dadically altering the genetic code of a large, successful corporation requires revolutionary action. Since 1981 John F. Welch, CEO of General Electric, has been struggling to break the company's old genetic code. This code was built around a core set of principles based on growth in sales greater than GNP, with many SBUs (strategic business units), relying on financial savvy, meticulous staff work, and a domestically focused company. The new genetic code is to build shareholder value in a slow-growth environment through operating competitive advantage with transformational leadership at all levels of the organization. After five years of this effort -which included downsizing GE by over 100,000 employees, divesting $6 billion and acquiring $13 billion in businesses (RCA being the largest), doubling investment in plant equipment and RD that is, creatively destroy and remake an organization around new visions, supported by revamping the social architecture of the organization. This is needed at all levels of GE and is a continuous process.
Querying Network Graphs with Recursive Queries

This paper describes a distributed infrastructure for querying network graphs with recursive queries. We argue that recursive queries have great practical value as a declarative interface to multi-hop networks. To query these networks in a distributed fashion, we describe the processing of recursive queries using PIER, a P2P relational query processor that utilizes distributed hash tables (DHTs). We focus on studying a set of commonly used recursive queries based on the transitive closure query. We demonstrate that different query processing techniques will lead to tradeoffs in latency, work sharing and communication overheads. Our experimental results also show that selecting the best execution strategy based on the query workload and graph topology can lead to significant reduction in communication overhead and latency. Comments University of California, Berkeley Department of Electrical Engineering and Computer Sciences Technical Report No. CSD-04-1332 Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission. (Department of Electrical Engineering and Computer Sciences, University of California, Berkeley) NOTE: At the time of publication, author Boon Thau Loo was affiliated with the University of California at Berkeley. Currently (March 2007), he is a faculty member in the Department of Computer and Information Science at the University of Pennsylvania. This technical report is available at ScholarlyCommons: http://repository.upenn. edu/cis_papers/308 Querying Network Graphs with Recursive Queries Boon Thau Loo boonloo@cs.berkeley. edu University of California, Berkeley
Expression of the Reproductive Female-Specific Vitellogenin Gene in Endocrinologically Induced Male and Intersex Cherax quadricarinatus Crayfish1

Abstract In oviparous females, the synthesis of the yolk precursor vitellogenin is an important step in ovarian maturation and oocyte development. In decapod Crustacea, including the red-claw crayfish (Cherax quadricarinatus), this reproductive process is regulated by inhibitory neurohormones secreted by the endocrine X-organ-sinus gland (XO-SG) complex. In males, the C. quadricarinatus vitellogenin gene (CqVg), although present, is not expressed under normal conditions. We show here that endocrine manipulation by removal of the XO-SG complex from male animals induced CqVg transcription. The CqVg gene was expressed differentially during the molt cycle in these induced males: no expression was seen in the intermolt stages, but expression was occasionally detected in the premolt stages and always detected in the early postmolt stages. Relative quantitation with a real-time reverse transcriptase-polymerase chain reaction showed that expression of CqVg in induced early postmolt males was an order of magnitude lower than that in reproductive females, a finding that was consistent with RNA in situ hybridization results. The SDS-PAGE of high-density lipoproteins from the hemolymph of endocrinologically induced early postmolt males did not show the typical vitellogenin-related polypeptide profile found in reproductive females. On the other hand, removal of the XO-SG complex from intersex individuals, which are chromosomally female but functionally male and possess an arrested female reproductive system, induced the expression, translation, and release of CqVg products into the hemolymph, as was the case for vitellogenic females. The expression of CqVg in endocrinologically manipulated molting males and intersex animals provides an inducible model for the investigation and understanding of the endocrine regulation of CqVg expression and translation in Crustacea as well as the relationship between the endocrine axes regulating molt and reproduction.
A Framework for Designing Strategies for Trading Agents

In this paper, we present a novel multi-layered framework for designing strategies for trading agents. The objective of this work is to provide a framework that will assist strategy designers with the different aspects involved in designing a strategy. At present, such strategies are typically designed in an ad-hoc and intuitive manner with little regard for discerning best practice or attaining reuseability in the design process. Given this, our aim is to put such developments on a more systematic engineering footing. After we describe our framework, we then go on to illustrate its use for a particular type of market mechanism (namely the Continuous Double Auction).
SC2D: an alternative to trace anonymization

Progress in networking research depends crucially on applying novel analysis tools to real-world traces of network activity. This often conflicts with privacy and security requirements; many raw network traces include information that should never be revealed to others.The traditional resolution of this dilemma uses trace anonymization to remove secret information from traces, theoretically leaving enough information for research purposes while protecting privacy and security. However, trace anonymization can have both technical and non-technical drawbacks.We propose an alternative to trace-to-trace transformation that operates at a different level of abstraction. Since the ultimate goal is to transform raw traces into research results, we say: cut out the middle step. We propose a model for shipping flexible analysis code to the data, rather than vice versa. Our model aims to support independent, expert, prior review of analysis code. We propose a system design using layered abstraction to provide both ease of use, and ease of verification of privacy and security properties. The system would provide pre-approved modules for common analysis functions. We hope our approach could significantly increase the willingness of trace owners to share their data with researchers. We have loosely prototyped this approach in previously published research.
10-bit 30-MS/s SAR ADC Using a Switchback Switching Method

This brief presents a 10-bit 30-MS/s successive-approximation-register analog-to-digital converter (ADC) that uses a power efficient switchback switching method. With respect to the monotonic switching method, the input common-mode voltage variation reduces which improves the dynamic offset and the parasitic capacitance variation of the comparator. The proposed switchback switching method does not consume any power at the first digital-to-analog converter switching, which can reduce the power consumption and design effort of the reference buffer. The prototype was fabricated in a 90-nm 1P9M CMOS technology. At 1-V supply and 30 MS/s, the ADC achieves an sequenced neighbor double reservation of 56.89 dB and consumes 0.98 mW, resulting in a figure-of-merit (FOM) of 57 fJ/conversion-step. The ADC core occupies an active area of only 190 × 525 μm2.