Miracle-dz/UniFAR-FTUs huggingface dataset:
Inhibition of the cation channel TRPV4 improves bladder function in mice and rats with cyclophosphamide-induced cystitis

Reduced functional bladder capacity and concomitant increased micturition frequency (pollakisuria) are common lower urinary tract symptoms associated with conditions such as cystitis, prostatic hyperplasia, neurological disease, and overactive bladder syndrome. These symptoms can profoundly affect the quality of life of afflicted individuals, but available pharmacological treatments are often unsatisfactory. Recent work has demonstrated that the cation channel TRPV4 is highly expressed in urothelial cells and plays a role in sensing the normal filling state of the bladder. In this article, we show that the development of cystitis-induced bladder dysfunction is strongly impaired in Trpv4−/− mice. Moreover, we describe HC-067047, a previously uncharacterized, potent, and selective TRPV4 antagonist that increases functional bladder capacity and reduces micturition frequency in WT mice and rats with cystitis. HC-067047 did not affect bladder function in Trpv4−/− mice, demonstrating that its in vivo effects are on target. These results indicate that TRPV4 antagonists may provide a promising means of treating bladder dysfunction.
Full-Genome Sequence of Influenza A(H5N8) Virus in Poultry Linked to Sequences of Strains from Asia, the Netherlands, 2014

Genetic analyses of highly pathogenic avian influenza A(H5N8) virus from the Netherlands, and comparison with strains from Europe, South Korea, and Japan, showed a close relation. Data suggest the strains were probably carried to the Netherlands by migratory wild birds from Asia, possibly through overlapping flyways and common breeding sites in Siberia.
A Decision Tree Based Record Linkage for Recommendation Systems

Record linkage merges all the records relating to the same entity from multiple datasets, at the entity level. It is the initial data preparation phase for most of the database projects. Traditionally one to one data linkage is performed among the entities of same type with common unique identifier. The proposed one to many and/or many to many record linkage method is able to link the entities of same or different types with or without availability of common unique identifier. Here a probabilistic record linkage which is based on clustering tree construction that classifies the matching entities by linkage. The tree construction is based on the one of the splitting criterion for the best attribute selection that partitions dataset at each node of the tree. Record Linkage is used in recommender system domain to produce list of recommendations at each leaf of the tree. It is used for matching new user with their product expectations in order to produce list of recommendations. In propose method a decision tree based record linkage is applied to generate book recommendations. This technique is also useful in solving cold start and new user problems. Keywords— Decision tree, Classification, Clustering, Splitting Criterion, Record Linkage, Model Based, Recommendation System.
A Graph Framework for Multimodal Medical Information Processing

Multimodal medical information processing is currently the epicenter of intense interdisciplinary research, as proper data fusion may lead to more accurate diagnoses. Moreover, multimodality may disambiguate cases of co-morbidity. This paper presents a framework for retrieving, analyzing, and storing medical information as a multilayer graph, an abstract format suitable for data fusion and further processing. At the same time, this paper addresses the need for reliable medical information through co-author graph ranking. A use case pertaining to frailty based on Python and Neo4j serves as an illustration of the proposed framework.
MWP true time delay implemented in PbS-SU8 waveguides

A new kind of microwave true time delay (TTD) device based on the dispersion of PbS colloidal quantum dots (QDs) in the commercially available photoresist SU8 is presented. For this purpose PbS-SU8 nanocomposites are integrated on a silicon platform in the form of ridge waveguides. When these structures are pumped at wavelengths below the band-gap of the PbS QDs, a phase shift in an optically conveyed (at 1550 nm) microwave signal is performed and therefore a temporal delay is produced. Furthermore, results are improved by implementing a novel ridge bilayer waveguide composed by a PbS-SU8 nanocomposite and a SU8 passive layer that reduces the losses due to the pump beam, and hence to improve the excitation of the QDs. The resulting device shows potential benefits respect to the current TTD technologies since it allows a fast tunability of the temporal delay by controlling the pump power and a high level of integration due to its small size and the material used.
Comprehending Object-Oriented Software Frameworks API Through Dynamic Analysis

AbstractA common practice followed by many application developers is to use existing framework appli-cations as a guide to understand how to implement a framework-provided concept of interest. Un-fortunately, ﬂnding the code that implements the concept of interest might be very di–cult since thecode might be scattered across and tangled with code implementing other concepts. To address thisissue, this report presents an approach called FUDA ( Framework API Understanding through DynamicAnalysis ). The main idea of this approach is to extract implementation recipes of a given concept fromruntime information collected when that concept is invoked in a number of diﬁerent sample applica-tions. For this purpose, we introduce a novel dynamic slicing approach named concept trace slicing and combine it with clustering and data mining techniques. The experimental evaluation of FUDAsuggests that this approach is eﬁective in producing useful implementation recipes for a given conceptwith few false positives and false negatives.
Cell and tissue reactions to mineral trioxide aggregate and Portland cement.

OBJECTIVE Mineral trioxide aggregate (MTA) is being widely used for root-end fillings, pulp capping, perforation repairs, and other endodontic procedures. MTA and Portland cement (PC) have many similar physical, chemical, and biologic properties. PC cement has shown promising potential as an endodontic material in several studies in vitro and in vivo. The purpose of this study was to compare the cytotoxic effect in vitro and the tissue reaction of MTA and Portland cement in bone implantation in the mandibles of guinea pigs. STUDY DESIGN Millipore culture plate inserts with freshly mixed or set material were placed into the culture plates with already attached L929 cells. After an incubation period of 3 days, the cell morphology and cell counts were studied. Adult male guinea pigs under strict asepsis were anesthetized, during which a submandibular incision was made to expose the symphysis of the mandible. Bilateral bone cavities were prepared and Teflon applicators with freshly mixed materials were inserted into the bone cavities. Each animal received 2 implants, one filled with ProRoot and 1 with PC. The animals were killed after 2 or 12 weeks, and the tissues were processed for histologic evaluation by means of light microscopy. RESULTS There was no difference in cell reactions in vitro. Bone healing and minimal inflammatory response adjacent to ProRoot and PC implants were observed in both experimental periods, suggesting that both materials are well tolerated. CONCLUSIONS MTA and PC show comparative biocompatibility when evaluated in vitro and in vivo. The results suggest that PC has the potential to be used as a less expensive root-end filling material.
Trajectory Optimization of Spray Painting Robot Based on Adapted Genetic Algorithm

Due to the complex geometry of free-form surfaces, generating optimization trajectories of spray gun to satisfy paint uniformity requirement is still a challenge. A quadratic function of the paint deposition rate on a plane was proposed according to the experimental data, and a model of paint deposition rate on a free-form surface was established. Non-uniform paint deposition in the direction of the Tool Center Point(TCP) passes on non-planar surfaces is resulted from the change of curvature along the pass. The model of variable spray speed optimization was established to compensate for the curvature change and improve the uniformity of paint deposition along passes. Then a new genetic algorithm (GA) for speed optimization was presented with good convergence properties and a remarkable low computational load. Finally, a typical concavo-convex surface was chosen as a target surface to validate the performance of the proposed algorithms, and the simulation results show that the algorithms can be applied substantially to improve the uniformity of resultant paint deposition along the passes.
SceneSuggest: Context-driven 3D Scene Design

We present SceneSuggest: an interactive 3D scene design system providing context-driven suggestions for 3D model retrieval and placement. Using a point-and-click metaphor we specify regions in a scene in which to automatically place and orient relevant 3D models. Candidate models are ranked using a set of static support, position, and orientation priors learned from 3D scenes. We show that our suggestions enable rapid assembly of indoor scenes. We perform a user study comparing suggestions to manual search and selection, as well as to suggestions with no automatic orientation. We find that suggestions reduce total modeling time by 32%, that orientation priors reduce time spent re-orienting objects by 27%, and that context-driven suggestions reduce the number of text queries by 50%.
Learning to detect contours in natural images via biologically motivated schemes

A model for detecting contours in natural images is presented by combining the visual perceptual mechanisms and machine learning. The surround stimuli will enhance the response of the central stimulus if they can form a precise spatial configuration. On the other hand, surround inhibition will reduce the responses to homogeneous elements. Facilitation and inhibition activities in the primary visual cortex (V1) are used to enhance the well-organized structures and to reduce the non-meaningful distractors engendering from texture fields, respectively. We approach the task of facilitatory and inhibitory cue integration as a supervised learning problem using the logistic regression model. Our experiments demonstrate that the model can dramatically reduce texture edges and spurious contours, and meanwhile can to some extent avoid ground-truth contours missed by the detector.
Genome-Wide SNP Linkage Mapping and QTL Analysis for Fiber Quality and Yield Traits in the Upland Cotton Recombinant Inbred Lines Population

It is of significance to discover genes related to fiber quality and yield traits and tightly linked markers for marker-assisted selection (MAS) in cotton breeding. In this study, 188 F8 recombinant inbred lines (RILs), derived from a intraspecific cross between HS46 and MARCABUCAG8US-1-88 were genotyped by the cotton 63K single nucleotide polymorphism (SNP) assay. Field trials were conducted in Sanya, Hainan Province, during the 2014–2015 cropping seasons under standard conditions. Results revealed significant differences (P < 0.05) among RILs, environments and replications for fiber quality and yield traits. Broad-sense heritabilities of all traits including fiber length, fiber uniformity, micronaire, fiber elongation, fiber strength, boll weight, and lint percentage ranged from 0.26 to 0.66. A 1784.28 cM (centimorgans) linkage map, harboring 2618 polymorphic SNP markers, was constructed, which had 0.68 cM per marker density. Seventy-one quantitative trait locus (QTLs) for fiber quality and yield traits were detected on 21 chromosomes, explaining 4.70∼32.28% phenotypic variance, in which 16 were identified as stable QTLs across two environments. Meanwhile, 12 certain regions were investigated to be involved in the control of one (hotspot) or more (cluster) traits, mainly focused on Chr05, Chr09, Chr10, Chr14, Chr19, and Chr20. Nineteen pairs of epistatic QTLs (e-QTLs) were identified, of which two pairs involved in two additive QTLs. These additive QTLs, e-QTLs, and QTL clusters were tightly linked to SNP markers, which may serve as target regions for map-based cloning, gene discovery, and MAS in cotton breeding.
Atmospheric Chemistry and Physics Secondary Organic Aerosol (soa) Formation from Reaction of Isoprene with Nitrate Radicals (no 3 )

Secondary organic aerosol (SOA) formation from the reaction of isoprene with nitrate radicals (NO 3) is investigated in the Caltech indoor chambers. Experiments are performed in the dark and under dry conditions (RH<10%) using N 2 O 5 as a source of NO 3 radicals. For an initial isoprene concentration of 18.4 to 101.6 ppb, the SOA yield (defined as the ratio of the mass of organic aerosol formed to the mass of parent hydrocarbon reacted) ranges from 4.3% to 23.8%. By examining the time evolutions of gas-phase intermediate products and aerosol volume in real time, we are able to constrain the chemistry that leads to the formation of low-volatility products. Although the formation of ROOR from the reaction of two peroxy radicals (RO 2) has generally been considered as a minor channel, based on the gas-phase and aerosol-phase data it appears that RO 2 +RO 2 reaction (self reaction or cross-reaction) in the gas phase yielding ROOR products is a dominant SOA formation pathway. A wide array of organic nitrates and peroxides are identified in the aerosol formed and mechanisms for SOA formation are proposed. Using a uniform SOA yield of 10% (corresponding to M o ∼ =10 µg m −3), it is estimated that ∼2 to 3 Tg yr −1 of SOA results from isoprene+NO 3. The extent to which the results from this study can be applied to conditions in the atmosphere depends on the fate of peroxy radicals in the nighttime troposphere.
RECURRENT NEURAL NETWORK FEATURE ENHANCEMENT : THE 2 nd CHIME CHALLENGE

We apply a machine learning approach to improve noisy acoustic features for robust speech recognition. Specifically, we train a deep, recurrent neural network to map noisecorrupted input features to their corresponding clean versions. We introduce several improvements to previously proposed neural network feature enhancement architectures. The model does not include assumptions about the specific noise and distortions present in CHiME data, but does assume noisy and clean stereo pairs are available for training. When used with the standard recognizer on the small vocabulary task (track 1), our approach demonstrates substantial improvements over the challenge baseline.
Matched-Field Processing Performance Under the Stochastic and Deterministic Signal Models

Matched-field processing (MFP) is commonly used in underwater acoustics to estimate source position and/or oceanic environmental parameters. Performance prediction of the multisnapshot and multifrequency MFP problem is of critical importance. To this end, two signal models are usually considered: the stochastic model, which assumes that the source signal is a stochastic process, and the deterministic model, which assumes that the source signal is a deterministic quantity. The Ziv-Zakai bound (ZZB) and the method of interval errors (MIE), which both rely on the computation of a so-called pairwise error probability, proved to be useful tools for MFP performance prediction. However, only the stochastic model has been considered so far. This paper provides a method that allows to compute the pairwise error probability, hence to use the ZZB and MIE, under both the stochastic and deterministic signal models. The proposed approach, based on recent results on quadratic forms in Gaussian variables, unifies the two models under the same formalism. The results are illustrated through the computation of the ZZB and MIE performance analysis. The Bayesian and the hybrid Cramèr-Rao bounds are also given for comparison.
A Linear Time Algorithm for Deciding Interval Graph Isomorphism

Author(s): Lueker, George S. ; Booth, Kellogg S. | Abstract: A graph is an interval graph if and only if each of its vertices can be associated with an interval on the real line in such a way that two vertices are adjacent in the graph exactly when the corresponding intervals have a nonempty intersection. An efficient algorithm for testing isomorphism of interval graphs is implemented using a data structure called a PQ-tree. The algorithm runs in 0(n + e) steps for graphs having n vertices and e edges. It is shown that for a somewhat larger class of graphs, namely the chordal graphs, isomorphism is as hard as for general graphs.
Unemployment and Health Behaviors Over the Business Cycle: A Longitudinal View

We examine the first‐order internal effects of unemployment and nonemployment on a range of health behaviors during the most recent recession using longitudinal data from the Panel Study of Income Dynamics and the National Longitudinal Survey of Youth‐1979. Ours is the first study to analyze the effect of own‐unemployment on energy intake, energy expenditure, and the net effect (body mass index) using longitudinal records. Exploiting information enveloping the recent steep recession and prolonged recovery is valuable since recent job losers will modify their behavior little if they expect soon to be re‐employed, whereas if they expect joblessness to last, they will adjust to a possibly prolonged decline in income and increase in nonwork time. We find that becoming unemployed is associated with a small increase in leisure‐time exercise, a moderate decrease in smoking, and a substantial decline in total physical activity. We also find that unemployment and nonemployment are associated with a decline in purchases of fast food. Together, these results imply that both energy consumption and expenditure may decline in the United States during recessions, the net result being essentially no change in body weight. There is considerable heterogeneity in these effects across specific health behaviors, across the intensive and extensive margins, across the outcome distribution, and across gender.
Changing meaning causes coupling changes within higher levels of the cortical hierarchy

Processing of speech and nonspeech sounds occurs bilaterally within primary auditory cortex and surrounding regions of the superior temporal gyrus; however, the manner in which these regions interact during speech and nonspeech processing is not well understood. Here, we investigate the underlying neuronal architecture of the auditory system with magnetoencephalography and a mismatch paradigm. We used a spoken word as a repeating “standard” and periodically introduced 3 “oddball” stimuli that differed in the frequency spectrum of the word's vowel. The closest deviant was perceived as the same vowel as the standard, whereas the other 2 deviants were perceived as belonging to different vowel categories. The neuronal responses to these vowel stimuli were compared with responses elicited by perceptually matched tone stimuli under the same paradigm. For both speech and tones, deviant stimuli induced coupling changes within the same bilateral temporal lobe system. However, vowel oddball effects increased coupling within the left posterior superior temporal gyrus, whereas perceptually equivalent nonspeech oddball effects increased coupling within the right primary auditory cortex. Thus, we show a dissociation in neuronal interactions, occurring at both different hierarchal levels of the auditory system (superior temporal versus primary auditory cortex) and in different hemispheres (left versus right). This hierarchical specificity depends on whether auditory stimuli are embedded in a perceptual context (i.e., a word). Furthermore, our lateralization results suggest left hemisphere specificity for the processing of phonological stimuli, regardless of their elemental (i.e., spectrotemporal) characteristics.
Dynamic resource management in a MapReduce-style platform for fast data processing

There is a recent interest in building MapReduce-style platforms for fast data processing, such as MapReduce online [2] and Muppet [5]. In this paper, we highlight the need for dynamic load management in a distributed data stream processing system and present Enorm, a MapReduce-style data stream processing platform with the focus on techniques to achieve dynamic resource management, i.e. the ability to dynamically balance the workload among the running instances and scale the resource usage according to the runtime workload fluctuations. The original MapReduce framework is designed for batched processing and dynamic scaling can only be achieved between batches. To address this problem, we propose a MapReduce-style computation framework and a set of corresponding adaptation strategies that can perform dynamic scaling on the fly with low processing latency.
Distributed space-time block coding with imperfect channel estimation

In this paper, we derive closed-form expressions for the bit error rate (BER) for a distributed space-time block coded system, considering both perfect and imperfect channel estimation. For the special case of single relay, under the assumption of an appropriate power control, we show that the diversity order of two is obtained, achieving the maximum diversity order. Our analysis also demonstrates the existence of an error floor due to channel estimation errors.
1 ZO-1 / 2-dependent integration of myosin-2 to epithelial zonula adherens

For the zonula adherens (ZA) to be established by linear-arrangement of adherens junctions (AJs) in epithelial sheet cells, critical for the epithelial cell sheet formation and intercellular barrier function, myosin-2 is supposedly integrated into the ZA with the result of overlapping localization of E-cadherin/actin/myosin-2. Here we immunofluorescently showed that myosin-2 failed to be integrated into the ZA in cultured epithelial-type ZO1(ko)/2(kd) Eph4 cells lacking ZO-1 and -2 by knockout and knockdown, respectively. Instead, a linearized but fragmented arrangement of AJs was formed in the way that it was positive for E-cadherin/actin, but negative for myosin-2 (designated prezonula-AJ). Transfection of full-length ZO-1 or ZO-2, or ZO-1 lacking its PDZ-1/2 domains (but not one lacking PDZ-1/2/3) into ZO1(ko)/2(kd) Eph4 cells restored the junctional integration of myosin-2 with prezonula-AJ to establish the ZA. Transfection of dominant-active RhoA, as well as administration of LPA or Y27632 which activates RhoA or inhibits ROCK (Rho-kinase), respectively, suggested that RhoA regulated the junctional integration of myosin-2 into ZA in a manner such that ROCK played a necessary but not-sufficient role. FRET analyses revealed that spatio-temporal Rho-activation occurred in a ZO-1/2-dependent way to establish ZA from primordial forms in epithelial cells.
An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply

A test of weak exogeneity in the simultaneous equation Tobit model is proposed and illustrated using a female labour supply model estimated using cross-section data. The test statistic can be simply output from any standard Tobit maximum likelihood package, and is asymptotically efficient. The procedure provides consistent estimators for the simultaneous Tobit model whose asymptotic covariance matrix is a simple extension of the usual Tobit formula. We also provide the Lagrange Multiplier test of weak exogeneity. (This abstract was borrowed from another version of this item.)