R2RS: schema-based relational databases mapping to linked datasets

Convolutional Neural Networks (CNNs) play a vital role in machine learning. CNNs are typically both computing and memory intensive. Emerging resistive random-access memories (RRAMs) and RRAM crossbars have demonstrated great potentials in boosting the performance and energy efficiency of CNNs. Compared with small crossbars, large crossbars show better energy efficiency with less interface overhead. However, conventional workload mapping methods for small crossbars cannot make full use of the computation ability of large crossbars. In this paper, we propose an Overlapped Mapping Method (OMM) and MIxed Size Crossbar based RRAM CNN Accelerator (MISCA) to solve this problem. MISCA with OMM can reduce the energy consumption caused by the interface circuits, and improve the parallelism of computation by leveraging the idle RRAM cells in crossbars. The simulation results show that MISCA with OMM can achieve 2.7× speedup, 30% utilization rate improvement, and 1.2× energy efficiency improvement on average compared with fixed size crossbars based accelerator using the conventional mapping method. In comparison with GPU platform, MISCA with OMM can perform 490.4× higher on average in energy efficiency and 20× higher on average in speedup. Compared with PRIME, an existing RRAM based accelerator, MISCA has 26.4× speedup and 1.65× energy efficiency improvement.

Catheter ablation is a proven therapy of focal atrial tachycardia. However limited information is available about the additional value of electroanatomical over conventional mapping methods for this specific arrhythmia. Consecutive catheter ablation procedures of FAT were analyzed in two cardiology centres. Only conventional mapping was used in 30 of the 60 procedures whereas additionally CARTO mapping was performed in another 30 procedures. Acute, six-month success rate, and procedural data were analyzed. Localization of ectopic foci is congruent with previously published data. There was no statistically significant difference between procedure time and fluoroscopy time using additionally CARTO mapping, compared to conventional mapping only. Acute success rate was higher in procedures guided by CARTO mapping than in procedures based on conventional mapping (27/30 vs. 18/30, p = 0.0081). During the 6-month follow-up period there was a better outcome (p = 0.045) in case of CARTO guided procedures (success: 11 cases, partial success: 12 cases, failure: 4 cases) compared to conventional mapping (success: 4 cases, partial success: 18 cases, failure: 7 cases). Catheter ablation of focal atrial tachycardias using the CARTO electroanatomical mapping system seems to provide higher acute and 6-month success rate compared to ablation using conventional mapping methods only.

Motivation: There is a need for water-specific T1 (T1Water) and fat quantification methods for detection of skeletal muscle fibrosis and fat infiltration. Goal(s): Illustrate a saturation recovery chemical-shift encoded (SR-CSE) T1 mapping approach for skeletal muscle T1Water and fat content quantification (validation, reproducibility and normative values across sex and age). Approach: SR-CSE scans were acquired in healthy adults (n=130) with spectroscopy validation studies and comparison to conventional T1 mapping methods. Results: SR-CSE has excellent accuracy and reproducibility. Normative values (T1Water, Inter/Intramuscular fat and muscle volumes) were established (2.89T). Conventional T1 mapping methods have a significant T1 bias from intramuscular fat. Impact: The SR-CSE approach jointly quantifies skeletal muscle fat and water-specific T1 (T1Water, removing T1 bias from fat), offering detection of muscle fibrosis and/or edema with co-existing fatty infiltration (e.g. sarcopenia).

A geotechnical assessment of the Oaklands Junction Quarry, Melbourne was undertaken to provide recommendations on pit wall design parameters for use in future quarry planning.Holcim (Australia) Pty Ltd plans to double the depth of the existing main pit over the remaining life of the quarry, and a robust geotechnical assessment of the existing pit walls was required to provide long term pit face stability during operation and subsequent quarry rehabilitation.Due to safety restrictions, access to the batters to undertake conventional (tape measure and compass) geotechnical mapping was very limited.The acquisition of geotechnical mapping data is described, using photogrammetric methods to undertake the mapping remotely.Measurements included the orientation, spacing, persistence and large scale waviness of the rock discontinuities that control the stability of the quarry pit walls.The use of photogrammetry provided far greater mapping coverage and a much larger set of high quality geotechnical data than could have been obtained by conventional mapping methods.The persistence and large scale waviness of the discontinuities are critical to the geotechnical design, due to the typically low shear strength of joint infill materials.The acquisition of high resolution digital terrain models (DTMs) of the quarry batter faces is described, generated using the 3DM Analyst Mine Mapping Suite (ADAM Technology, 2013) digital photogrammetry system from 'stereo pairs' of photographs taken of the pit walls.The same software was then used to carry out the remote geotechnical mapping.The results included more than 1,200 individual measurements of discontinuity orientation, as well as a smaller number of measurements of discontinuity spacing and persistence.The DTMs were used to quantitatively assess the large scale waviness of selected discontinuities, and provided justification to increase the large scale friction angle adopted for the subsequent stability analyses by up to 5°, as compared to the values that would otherwise have been adopted based on drill core alone.The assessment of safe pit slope angles is discussed, and observations of existing large scale failures in the pit walls were used to corroborate the use of increased friction angle in the design.

To evaluate the use of magnetic resonance fingerprinting (MRF) for simultaneous quantification of and in a single breath-hold in the kidneys. The proposed kidney MRF sequence was based on MRF echo-planar imaging. Thirty-five measurements per slice and overall 4 slices were measured in 15.4seconds. Group matching was performed for in-line quantification of and . Images were acquired in a phantom and 8 healthy volunteers in coronal orientation. To evaluate our approach, region of interests were drawn in the kidneys to calculate mean values and standard deviations of the and times. Precision was calculated across multiple repeated MRF scans. Gaussian filtering is applied on baseline images to improve SNR and match stability. and times acquired with MRF in the phantom showed good agreement with reference measurements and conventional mapping methods with deviations of less than 5% for and less than 10% for . Baseline images in vivo were free of artifacts and relaxation times yielded good agreement with conventional methods and literature (deviation , ). In this feasibility study, the proposed renal MRF sequence resulted in accurate and quantification in a single breath-hold.

Rapid Construction of Integrated Maps Using Inner Product Mapping: YAC Coverage of Human Chromosome 11

To develop a simultaneous T1 , T2 , and T1ρ cardiac magnetic resonance fingerprinting (MRF) approach to enable comprehensive contrast agent-free myocardial tissue characterization in a single breath-hold scan. A 2D gradient-echo electrocardiogram-triggered cardiac MRF sequence with low flip angles, varying magnetization preparation, and spiral trajectory was acquired at 1.5 T to encode T1 , T2 , and T1⍴ simultaneously. The MRF images were reconstructed using low-rank inversion, regularized with a multicontrast patch-based higher-order reconstruction. Parametric maps were generated and matched in the singular value domain to extended phase graph-based dictionaries. The proposed approach was tested in phantoms and 10 healthy subjects and compared against conventional methods in terms of coefficients of determination and best fits for the phantom study, and in terms of Bland-Altman agreement, average values and coefficient of variation of T1 , T2 , and T1⍴ for the healthy subjects study. The T1 , T2 , and T1⍴ MRF values showed excellent correlation with conventional spin-echo and clinical mapping methods in phantom studies (r2 > 0.97). Measured MRF values in myocardial tissue (mean ± SD) were 1133 ± 33 ms, 38.8 ± 3.5 ms, and 52.0 ± 4.0 ms for T1 , T2 and T1⍴ , respectively, against 1053 ± 47 ms, 50.4 ± 3.9 ms, and 55.9 ± 3.3 ms for T1 modified Look-Locker inversion imaging, T2 gradient and spin echo, and T1⍴ turbo field echo, respectively. A cardiac MRF approach for simultaneous quantification of myocardial T1 , T2 , and T1ρ in a single breath-hold MR scan of about 16 seconds has been proposed. The approach has been investigated in phantoms and healthy subjects showing good agreement with reference spin echo measurements and conventional clinical maps.

NGS-assisted super pooling emerging as powerful tool to accelerate gene mapping and haplotype association analysis within target region uncovering specific linkage SNPs or alleles for marker-assisted gene pyramiding. Conventional gene mapping methods to identify genes associated with important agronomic traits require significant amounts of financial support and time. Here, a single nucleotide polymorphism (SNP)-based mapping approach, RNA-Seq and SNP array assisted super pooling analysis, was used for rapid mining of a candidate genomic region for stripe rust resistance gene Yr26 that has been widely used in wheat breeding programs in China. Large DNA and RNA super-pools were genotyped by Wheat SNP Array and sequenced by Illumina HiSeq, respectively. Hundreds of thousands of SNPs were identified and then filtered by multiple filtering criteria. Among selected SNPs, over 900 were found within an overlapping interval of less than 30Mb as the Yr26 candidate genomic region in the centromeric region of chromosome arm 1BL. The 235 chromosome-specific SNPs were converted into KASP assays to validate the Yr26 interval in different genetic populations. Using a high-resolution mapping population (> 30,000 gametes), we confined Yr26 to a 0.003-cM interval. The Yr26 target region was anchored to the common wheat IWGSC RefSeq v1.0 and wild emmer WEWSeq v.1.0 sequences, from which 488 and 454kb fragments were obtained. Several candidate genes were identified in the target genomic region, but there was no typical resistance gene in either genome region. Haplotype analysis identified specific SNPs linked to Yr26 and developed robust and breeder-friendly KASP markers. This integration strategy can be applied to accelerate generating many markers closely linked to target genes/QTL for a trait of interest in wheat and other polyploid species.

Natural heritage (NH) is an important element of the natural capital of each country, and as such, represents key assets that deliver various benefits to the citizens. The rich and diverse NH of Bulgaria is a prerequisite for the development of various activities such as recreation and tourism, but these activities have also negative impact on some of the NH’s elements. The concept of ecosystem services (ES) has the potential for bridging the gap between the conservation and exploitation needs. In this paper, we propose an approach to prioritizing the ES provided by the natural heritage of Bulgaria for the needs of recreation and tourism. The approach is designed for the mapping of the NH but it can also support the overall process of mapping and assessment of ES. It is based on application of ES prioritization matrix (ESPM) and a five-step algorithm designed to differentiate ES into priority levels according to their significance to recreation and tourism. Through the application of the proposed approach we were able to sort out the ES into three groups (high, medium and low priority) according to their importance to recreation and tourism. The first group contains obligatory ES for each mapping and assessment activity from national to local level. The second group contains optional ES recommended for studies at regional level, while the services can be selected according to the specifics of the study. The low priority ES are recommended for local level studies in cases where the assessment requires high details and accuracy. The mapping of high priority ES at national level shows that the products of the approach can be easily adapted for various studies for assessment of NH and sustainable tourism practices using the conventional mapping methods.

Using new traps search concepts in the Chihuido de la Sierra Negra oil field, it was possible to substantially increase production from 4400 bbl/day in 1984 to 125,000 bbl/day in 1995. Oil reserves are located within an 8000 ha area situated on the Chihuido de la Sierra Negra anticlinal flank. Success was achieved by using different techniques for subtle traps detection, namely seismic amplitude mapping, individualization of different production facies and its predictive mapping. This reduced the search and development toward low structural areas which had not been considered before. The production layers are formed by two lower Cretaceous eolian sandstones called the Avile Member and the Troncoso Lower Member, with thicknesses ranging from 5 to 30 meters. 2D seismic made it possible to individualize the thickest sand areas, some of which turned out to be productive. Using 3D seismic, by means of azimuth and dip maps, fractured areas were detected where fault throws range from 5 to 10 meters. In many of these fractured zones, thin igneous intrusives are emplaced forming seals. Such determinations make it possible for different oil-water contacts and static pressures to be delimited. Due to the small fault throws, the different blocks could not bemore » detected by conventional mapping methods. The delineation of the field compartmentalization becomes important in the waterflooding stage as well as for the detection of new traps in surrounding areas. The combination of seismic and stratigraphic methods made it possible to discover and develop Argentina`s main oil field.« less

Direct mapping is an automatic transformation method used to generate resource description framework (RDF) data from relational data. In the field of direct mapping, semantics preservation is critical to ensure that the mapping method outputs RDF data without information loss or incorrect semantic data generation. However, existing direct-mapping methods have problems that prevent semantics preservation in specific cases. For this reason, a mapping method is developed to perform a semantics-preserving transformation of relational databases (RDB) into RDF data without semantic information loss and to reduce the volume of incorrect RDF data. This research reviews cases that do not generate semantics-preserving results, and the corresponding problems into categories are arranged. This paper defines lemmas that represent the features of RDF data transformation to resolve those problems. Based on the lemmas, this work develops a hierarchical direct-mapping method to strictly abide by the definition of semantics preservation and to prevent semantic information loss, reducing the volume of incorrect RDF data generated. Experiments demonstrate the capability of the proposed method to perform semantics-preserving RDB2RDF data transformation, generating semantically accurate results. This work impacts future studies, which should involve the development of synchronization methods to achieve RDF data consistency when original RDB data are modified.

Orthogonal Time Frequency Space (OTFS) is regarded as one of the best contenders for sixth-generation (6G) radio systems due to its ability to obtain excellent performance in high-speed scenarios. Peak-to-average power ratio (PAPR) significantly impacts and degrades the efficiency of the power amplifier used in OTFS-based 6G systems. The proposed article presents a genetic hybrid algorithm, Partial transmission sequence-particle swarm optimization (PTS-PSO), obtaining an optimal PAPR performance with low computation complexity. The PSO generates the best phase factor compared to the conventional phase generation method of PTS, making PTS-PSO more effective. The impacts such as PAPR, bit error rate (BER), power spectral density (PSD), and complexity of the proposed PTS-PSO are compared with the conventional selective mapping (SLM) and PTS methods for 64, 256, and 512 OTFS sub-carriers. The projected PTS-PSO attained a PAPR and PSD gain of 1–6 dB and − 540 while preserving the BER performance. The experimental results demonstrate that the projected PTS-PSO outperforms the conventional SLM and PTS algorithms with trivial intricacy.

Characterization of glycosylation sites for a recombinant IgG1 monoclonal antibody and a CTLA4-Ig fusion protein by liquid chromatography–mass spectrometry peptide mapping

A rapid high-resolution multi-sensory urban flood mapping framework via DEM upscaling

This paper focuses on methods for mapping novel obesity genes in humans via meiotic mapping techniques. By novel we mean genes that are as yet unidentified as playing a role in obesity. We begin by presenting a discussion of why we believe it is important to seek out novel obesity genes and, in particular, novel genes of small effect. In light of the arguably Herculean task of finding genes of small effect with conventional gene mapping methods, we discuss alternative methods and procedures that may enhance our ability to map novel obesity genes of small effect. Many of these methods have been discussed previously in the literature and are summarized here. These include reconceptualizing power in the context of genomewide scans, multivariate linkage approaches, the use of phenotypically extreme subjects, and the use of large sibships. These are discussed in the context of linkage studies. Association studies and disequilibrium mapping are also discussed, and again, issues involving the use of extreme phenotypes and multiple testing are included. We also provide a brief discussion of DNA pooling and transmission disequilibrium tests for quantitative traits. Finally, we advocate data pooling techniques (e.g., meta-analysis) to enhance the power and efficiency of the entire field of the genetics of obesity.