Miracle-dz/UniFAR-FTUs huggingface dataset:
luxS in bacteria isolated from 25- to 40-million-year-old amber.

Interspecies bacterial communication is mediated by autoinducer-2, whose synthesis depends on luxS. Due to the apparent universality of luxS (present in more than 40 bacterial species), it may have an ancient origin; however, no direct evidence is currently available. We amplified luxS in bacteria isolated from 25- to 40-million-year-old amber. The phylogenies and molecular clocks of luxS and the 16S rRNA gene from ancient and extant bacteria were determined as well. Luminescence assays using Vibrio harveyi BB170 aimed to determine the activity of luxS. While the phylogeny of luxS was very similar to that of extant Bacillus spp. , amber isolates exhibited unique 16S rRNA gene phylogenies. This suggests that luxS may have been acquired by horizontal transfer millions of years ago. Molecular clocks of luxS suggest slow evolutionary rates, similar to those of the 16S rRNA gene and consistent with a conserved gene. Dendograms of the 16S rRNA gene and luxS show two separate clusters for the extant and ancient bacteria, confirming the uniqueness of the latter group.
A Search for Neutral Heavy Vector Gauge Bosons in Pp Collisions at √ S = 1.8 Tev

A search for a neutral heavy vector gauge boson, Z ′ , was conducted in pp collisions using 110pb −1 of data obtained at the Collider Detector at Fermilab. We present preliminary 95% CL limits on the production of Z ′ in different models using its e + e − and µ + µ − decay modes. The Z ′ is a heavy neutral vector gauge boson predicted to exist in several Grand Unified Theories and extensions of the Standard Model. 1,2 The Z ′ couplings 3 to dileptons are described by theory, but there are no constraints on its mass. Figure 1: Distribution of dilepton events as a function of invariant mass in 110 pb −1 of data taken at CDF. In this paper we describe a direct search for the Z ′ in its dielectron and dimuon decay modes at CDF. 4 The calorimeters, the Central Tracking Chamber (CTC) and the Muon chambers are the principal detector components used for this search. 5 Data are collected with a multi-level trigger. The electron trigger requires a minimum E t in the calorimeter with ≈ 100% efficiency. The muon trigger requires a match between a Central Muon Chamber stub and a high P t track in the CTC with ≈ 90% efficiency. Candidate events are selected by requiring one " tight " and one " loose " lep-ton. Dielectron events are required to have one isolated central electron with E t > 25 GeV/c 2 , and P t > 13 GeV/c. The second electron could be detected in the Central or in the Plug region of the detector. Muons are required to be minimum ionizing with P t > 20 GeV/c. One muon is required to be isolated and detected in the Central Muon detector. We find 7120 dielectron events and 2562 dimuon events. The distribution of these events as a function of invariant mass is shown in Figure 1. The
Quantifying semantic effects. The impact of lexical collocations on the inflectional variation of Dutch attributive adjectives

This paper wants to verify to what extent semantic effects contribute to the alternation between inflected and uninflected adjectives in a definite NP with a singular neuter head noun as observed in the Corpus Gesproken Nederlands. Existing accounts invoke the non-compositional semantics of the adjective-noun combination to interpret this case of inflectional variation, generally using highly idiomatic examples. We will argue for a combinatorial operationalisation of the semantic effect, based on lexical collocations. The influence of lexical collocations on the inflectional alternation will be measured by means of the log-likelihood test. Finally, the actual impact of lexical collocations on the inflectional alternation will be quantified integrating the semantic parameter together with other potential explanatory factors in a logistic regression analysis.
Reliable and Energy-Efficient Downward Packet Delivery in Asymmetric Transmission Power-Based Networks

In low-power wireless networks, maintaining multihop connectivity is considered effective in constructing communication routes between individual nodes to a gateway. Since sensor networks are typically used for data collection, multihop routing protocols are designed to find routes optimal in upward directions. As sensor networks become widely applied to diverse applications, efficient downward traffic delivery also becomes important. To achieve this, we consider an asymmetric transmission power-based network (APN), where a power-supplied gateway uses high-power radios to cover the entire network via single-hop transmission, whereas common nodes use low-power transmissions. For effective APN operations, we propose a single-hop downlink protocol (SHDP) that consists of direct downlink transmission, local acknowledgment, neighbor forwarding, and contention resolution among the destination’s neighbors. We evaluate SHDP through mathematical analysis, simulations, and testbed experiments. Our proposal outperforms other competitive multihop routing protocols. Specifically, SHDP shows high packet delivery performance and lowers the duty cycle greatly while reducing the packet transmission overhead by >50%.
Subcellular Fractionation and Localization Studies Reveal a Direct Interaction of the Fragile X Mental Retardation Protein (FMRP) with Nucleolin

Fragile X mental Retardation Protein (FMRP) is a well-known regulator of local translation of its mRNA targets in neurons. However, despite its ubiquitous expression, the role of FMRP remains ill-defined in other cell types. In this study we investigated the subcellular distribution of FMRP and its protein complexes in HeLa cells using confocal imaging as well as detergent-free fractionation and size exclusion protocols. We found FMRP localized exclusively to solid compartments, including cytosolic heavy and light membranes, mitochondria, nuclear membrane and nucleoli. Interestingly, FMRP was associated with nucleolin in both a high molecular weight ribosomal and translation-associated complex (≥6 MDa) in the cytosol, and a low molecular weight complex (∼200 kDa) in the nucleoli. Consistently, we identified two functional nucleolar localization signals (NoLSs) in FMRP that are responsible for a strong nucleolar colocalization of the C-terminus of FMRP with nucleolin, and a direct interaction of the N-terminus of FMRP with the arginine-glycine-glycine (RGG) domain of nucleolin. Taken together, we propose a novel mechanism by which a transient nucleolar localization of FMRP underlies a strong nucleocytoplasmic translocation, most likely in a complex with nucleolin and possibly ribosomes, in order to regulate translation of its target mRNAs.
Longitudinal control law design for fixed-wing UAV based on multi-model technique

Multi-model technique is studied and adopted for the control design for longitudinal dynamics of fixed-wing unmanned aerial vehicle (UAV) in the paper. A linear model set is built up at a number of operating points which are characterized by the different values of flight velocity and altitude, since the aerodynamics is greatly influenced by the two flight states, and a corresponding controller set for the linearized models is constructed, including discrete-time linear quadratic regulator (DLQR) as the inner loop controller for the velocity and pitch angle control and a PID controller for the altitude tracking and keeping. The switching strategy within the multi-model control scheme is put forward according to the square root of velocity and altitude. Finally, the simulation validates the efficiency of the proposed method, with the F-16 model as the controlled plant.
Document Layout Optimization with Automated Paraphrasing

We introduce a new concept in document layout optimization. In our approach, paraphrase-based~layout~optimization, layout issues (e.g. widows due to poor page breaking) are automatically fixed by rewording the neighboring sentences. Techniques of paraphrasing are borrowed from the field of natural language processing towards this goal, which is the first attempt in the field of document engineering. We implemented a prototype TeX pre/post-processing system that includes two simple paraphrase generators. The experiment shows that our approach is promising and effective for improving document layout.
Fast Algorithm for Modularity-Based Graph Clustering

In AI and Web communities, modularity-based graph clustering algorithms are being applied to various applications. However, existing algorithms are not applied to large graphs because they have to scan all vertices/edges iteratively. The goal of this paper is to efficiently compute clusters with high modularity from extremely large graphs with more than a few billion edges. The heart of our solution is to compute clusters by incrementally pruning unnecessary vertices/edges and optimizing the order of vertex selections. Our experiments show that our proposal outperforms all other modularity-based algorithms in terms of computation time, and it finds clusters with high modularity.
Smgc organization and relationship to : cDNA , genomic Muc 19 The gene encoding mouse

Smgc organization and relationship to : cDNA, genomic Muc19 The gene encoding mouse You might find this additional info useful. 24 times a year (twice monthly) by the American Physiological Society, 9650 Rockville Pike, Bethesda MD systems with techniques linking genes and pathways to physiology, from prokaryotes to eukaryotes. It is published publishes results of a wide variety of studies from human and from informative model Physiological Genomics
Determinants of weight change in patients on basal insulin treatment: an analysis of the DIVE registry

Objective We aimed to describe patterns of weight change in insulin-naive patients with type 2 diabetes mellitus (T2DM) starting basal insulin (BI) treatment. Research design and methods Diabetes Versorgungs-Evaluation (DIVE) is an observational, multicenter, prospective registry in patients with T2DM. Patients were divided into those initiating BI therapy for the first time (with optional oral antidiabetic drugs (OADs)) and those initiating OADs only (OADo). Results 521 patients were included in the analysis, 113 in the BI arm and 408 in the OADo arm. Relative to baseline, the BI group gained an average of 0.98±7.1 kg at 1 year, compared with a loss of 1.52±11.8 kg in the OADo group (p<0.001). This difference remained statistically significant when expressed as a proportional change from baseline (+0.014±0.08 vs −0.015±0.12, respectively (p<0.001)). Baseline weight (regression coefficient (RC) 0.89; 95% CI 0.81 to 0.97; p<0.001) and diabetes duration (RC 2.52; 95% CI 0.53 to 4.52; p=0.01) were the only factors identified as significant predictors of weight gain between baseline and 1 year follow-up in BI patients. Conclusions Though BI therapy leads to modest weight gain over the subsequent year, this may be limited by BI initiation at an early stage of the disease. As such, delaying the start of insulin therapy based on fears of weight gain appears counter-productive, and should be reconsidered.
Development of vision-based lane and vehicle detecting systems via the implementation with a dual-core DSP

This paper presents an innovative vehicle intelligent warning device. It consists of a lane detection system (LDS) and a vehicle detection system (VDS) with a single CCD camera. For improving the system efficiency and reliability, the LDS uses an efficient median filter which takes 19 comparisons for two medians in the worst case and an edge-enhancement filter which makes road marks more obvious than background noise such as vehicles, buildings and so on. On the other hand, The VDS detects vehicles ahead by their symmetric characteristic with a modified symmetric area extraction method that can locate the symmetric area efficiently in an image. Besides, the motion vector (MV) estimation approach, which is widely adopted in MPEG image compression applications, is applied to predict the searching windows that lead to have better detecting rate. The LDS and the VDS are successfully implemented in an ADI-BF561 600MHz dual core DSP
Streaming, Distributed Variational Inference for Bayesian Nonparametrics

This paper presents a methodology for creating streaming, distributed inference algorithms for Bayesian nonparametric (BNP) models. In the proposed framework, processing nodes receive a sequence of data minibatches, compute a variational posterior for each, and make asynchronous streaming updates to a central model. In contrast to previous algorithms, the proposed framework is truly streaming, distributed, asynchronous, learning-rate-free, and truncation-free. The key challenge in developing the framework, arising from the fact that BNP models do not impose an inherent ordering on their components, is finding the correspondence between minibatch and central BNP posterior components before performing each update. To address this, the paper develops a combinatorial optimization problem over component correspondences, and provides an efficient solution technique. The paper concludes with an application of the methodology to the DP mixture model, with experimental results demonstrating its practical scalability and performance.
SiGe based Wideband mm-Wave Imaging Systems for Security and Quality Assurance Applications ∗

In this paper the benefits of using highly integrated millimeter-wave FMCW radar systems for industrial and security imaging applications are discussed. A 240 GHz wideband transceiver MMIC with on-chip antennas is presented and first non destructive testing measurements of packed hazelnut chocolate are shown. The radar system covers the frequency band from 204 GHz to 265 GHz.
Spoken Document Retrieval in a Highly Inflectional Language

Being able to search for relevant information within a collection of documents is vital for the effective use of any kind of storage media. The main body of Spoken Document Retrieval research has concentrated on the English language, leaving other languages – and information produced in them – without the benefit of existing SDR systems. Especially the performance of vocabulary based speech recognition suffers from inflection. This also affects the usability of retrieval systems based on vocabulary-based recognition techniques. We discuss a method for rapid phoneme filtering to facilitate fast searches for words unknown by large vocabulary speech recognizers. The method is evaluated against a speech database in Finnish, which is a highly inflected language.
Textile Flaw Detection and Classification by Wavelet Reconstruction and BP Neural Network

This paper presents a method of textile flaw detection and classification based on wavelet reconstruction and BP neural network. The common two types of textile flaws, namely oil stain and hole, can be detected and classified. The method can handle two types of texture fabrics: statistical textures with isotropic patterns and structural textures with oriented patterns. For the extraction of flaw features, histograms of "hole" and "oil stain" are computed as the input of BP neural network. Some samples are selected for testing, the results show that the proposed method can effectively detect defects and classify the types of defect with high recognition correct rate.
Nonhyperbolic reflection moveout of P -waves: An overview and comparison of reasons

The familiar hyperbolic approximation of P -wave reflection moveout is exact for homogeneous isotropic or elliptically anisotropic media above a planar reflector. Any realistic combination of heterogeneity, reflector curvature, and nonelliptic anisotropy will cause departures from hyperbolic moveout at large offsets. Here, we analyze the similarities and differences in the influence of those three factors on P -wave reflection traveltimes. Using the weak-anisotropy approximation for velocities in transversely isotropic media with a vertical symmetry axis (VTI model), we show that although the nonhyperbolic moveout due to both vertical heterogeneity and reflector curvature can be interpreted in terms of effective anisotropy, such anisotropy is inherently different from that of a generic homogeneous VTI model.
Towards a Unified Description of Product Related Processes

To increase the effectiveness of computer support in development and production of durable industrial products (artifacts), three problems still need to be solved: (a) integration of aspect models used in artifact development, (b) integration of the aspect models used in process planning and process representations, (c) integration of (a) and (b). This seems to be difficult, since different application fields, representation techniques and information contents have to be combined. It means that instead of the pure artifact and process models, we have to develop artifact-process models. This article focuses on the integration of four kinds of typical life-cycle processes: (1) design (mental creation processes), (2) producing (physical creation processes), (3) operation processes (internal behavioral processes), and (4) use processes (external behavioral processes). In order to achieve a sufficiently high level of formalization in the computer-mediated handling of various processes, this article introduces a set-theory based representation. This representation makes it possible to stereotype the observed or forecasted processes, largely independent of their content. The applicability of the approach in real-life cases is demonstrated by three examples. Further research is oriented to the integration of process modeling with artifact modeling, as well as application to more complex cases.
Jaccard coefficient-based word sense disambiguation using hybrid knowledge resources

Word Sense Disambiguation (WSD) has become a popular method for solving the ambiguous meaning of the words in Information Retrieval (IR) field area. Under the Natural Language Processing (NLP) community, WSD has been described as the task which able to select the appropriate meaning among the ambiguous meanings to a given word. Among three approaches, supervised based, unsupervised based and knowledge based approaches to WSD, this paper focuses on both supervised based and knowledge based approaches by proposing new Jaccard coefficient-based WSD algorithm to overcome the vocabulary miss match problem. WordNet and corpus external knowledge resources are utilized as the sense repositories by linking up with the new WSD algorithm to consider additional semantic for WSD. According to sample testing, IR system with new WSD algorithm attains more about 20 percent of total accuracy rate than traditional IR system.
Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo‐Panel Model with Nested Random Effects

This paper estimates a hedonic housing model based on flats sold in the city of Paris over the period 1990-2003. This is done using maximum likelihood estimation taking into account the nested structure of the data. Paris is historically divided into 20 arrondissements, each divided into four quartiers (quarters), which in turn contain between 15 and 169 blocks (�lot, in French) per quartier. This is an unbalanced pseudo-panel data containing 156,896 transactions. Despite the richness of the data, many neighborhood characteristics are not observed, and we attempt to capture these neighborhood spill-over effects using a spatial lag model. Using Likelihood Ratio tests, we find significant spatial lag effects as well as significant nested random error effects. The empirical results show that the hedonic housing estimates and the corresponding marginal effects are affected by taking into account the nested aspects of the Paris housing data as well as the spatial neighborhood effects.
Implementation of an early warning indicator and intervention system

Abstract This study focuses on the implementation of an early warning indicator and intervention system in 20 southern high schools. This model included a team of teachers, counselors, and student support services personnel who analyzed ninth- grade student-level data and implemented and monitored interventions. The team was led by a half-time coach who established protocols for team operations and provided updated early warning indicator data. Findings indicated variability in the frequency and scale of the interventions initiated and monitored by the promotion coaches and early warning indicator teams. This study further demonstrates that higher levels of implementation of early warning and intervention components in the treatment schools were associated with improved levels of ninth-grade student attendance and course performance even after controlling for prior attendance.
Simultaneous dense scene reconstruction and object labeling

This paper presents an efficient system for simultaneous dense scene reconstruction and object labeling in real-world environments (captured with an RGB-D sensor). The proposed system starts with the generation of object proposals in the scene. It then tracks spatio-temporally consistent object proposals across multiple frames and produces a dense reconstruction of the scene. In parallel, the proposed system uses an efficient inference algorithm, where object class probabilities are computed at an object-level and fused into a voxel-based prediction hypothesis modeled on the voxels of the reconstructed scene. Our extensive experiments using challenging RGB-D object and scene datasets, and live video streams from Microsoft Kinect show that the proposed system achieved competitive 3D scene reconstruction and object labeling results compared to the state-of-the-art methods.
Building a computational lexicon and ontology with FrameNet

This paper explores FrameNet as a resource for building a lexicon for deep syntactic and semantic parsing with a practical multipledomain parser. The TRIPS parser is a wide-coverage parser which uses a domain-independent ontology to produce semantic interpretations in 5 different application domains. We show how semantic information from FrameNet can be useful for developing a domainindependent ontology. While we used FrameNet as a starting point for our ontology development, we were unable to use FrameNet directly because it does not have links between syntax and semantics, and is not designed to include selectional restrictions. We discuss changes that needed to be made to the FrameNet frame structure to convert it to our domain-independent LF Ontology, the additions we made to FrameNet lexicon, and the resulting differences between the systems.
Bandwidth Allocation Computations with Measured Tra cGwyn Chatranon and Sujata BanerjeeInfo

Asynchronous Transfer Mode (ATM) networks provide guarantees on quality of service (QoS) by rst determining the availability of the required network resources and then reserving these resources for the duration of the application call. The Call Admission Control (CAC) component of the network is responsible for these functions. This paper is concerned with the calculation of bandwidth requirements for traac traces obtained from measurements taken from a wide area ATM testbed network. Two kinds of traces are considered: IP applications traac and jittered constant bit rate traac streams that have traversed multiple switching hops of the network. The actual bandwidth requirements are computed using simulation and then compared with the equivalent bandwidth theory for on-oo sources.