Translation Table Research Articles

A reporting format for leaf-level gas exchange data and metadata

Leaf-level gas exchange data support the mechanistic understanding of plant fluxes of carbon and water. These fluxes inform our understanding of ecosystem function, are an important constraint on parameterization of terrestrial biosphere models, are necessary to understand the response of plants to global environmental change, and are integral to efforts to improve crop production. Collection of these data using gas analyzers can be both technically challenging and time consuming, and individual studies generally focus on a small range of species, restricted time periods, or limited geographic regions. The high value of these data is exemplified by the many publications that reuse and synthesize gas exchange data, however the lack of metadata and data reporting conventions make full and efficient use of these data difficult. Here we propose a reporting format for leaf-level gas exchange data and metadata to provide guidance to data contributors on how to store data in repositories to maximize their discoverability, facilitate their efficient reuse, and add value to individual datasets. For data users, the reporting format will better allow data repositories to optimize data search and extraction, and more readily integrate similar data into harmonized synthesis products. The reporting format specifies data table variable naming and unit conventions, as well as metadata characterizing experimental conditions and protocols. For common data types that were the focus of this initial version of the reporting format, i.e., survey measurements, dark respiration, carbon dioxide and light response curves, and parameters derived from those measurements, we took a further step of defining required additional data and metadata that would maximize the potential reuse of those data types. To aid data contributors and the development of data ingest tools by data repositories we provided a translation table comparing the outputs of common gas exchange instruments. Extensive consultation with data collectors, data users, instrument manufacturers, and data scientists was undertaken in order to ensure that the reporting format met community needs. The reporting format presented here is intended to form a foundation for future development that will incorporate additional data types and variables as gas exchange systems and measurement approaches advance in the future. The reporting format is published in the U.S. Department of Energy's ESS-DIVE data repository, with documentation and future development efforts being maintained in a version control system.

Making Parasite-Host Associations Visible using Global Biotic Interactions

A wealth of information about how parasites interact with their hosts already exists in collections, scientific publications, specialized databases, and grey literature. The US National Science Foundation-funded Terrestrial Parasite Tracker Thematic Collection Network (TPT) project began in 2019 to help build a comprehensive picture of arthropod ectoparasites including the evolution of these parasite-host biotic associations, distributions, and the ecological interactions of disease vectors. TPT is a network of biodiversity collections whose data can assist scientists, educators, land managers, and policymakers to better understand the complex relationship between hosts and parasites including emergent properties that may explain the causes and frequency of human and wildlife pathogens. TPT member collections make their association information easier to access via Global Biotic Interactions (GloBI, Poelen et al. 2014), which is periodically archived through Zenodo to track progress in the TPT project. TPT leverages GloBI's ability to index biotic associations from specimen occurrence records that come from existing management systems (e.g., Arctos, Symbiota, EMu, Excel, MS Access) to avoid having to completely rework existing, or build new, cyber-infrastructures before collections can share data. TPT-affiliated collection managers use collection-specific translation tables to connect their verbatim (or original) terms used to describe associations (e.g., "ex", "found on", "host") to their interpreted, machine-readable terms in the OBO Relations Ontology (RO). These interpreted terms enable searches across previously siloed association record sets, while the original verbatim values remain accessible to help retain provenance and allow for interpretation improvements. TPT is an ambitious project, with the goal to database label data from over 1.2 million specimens of arthropod parasites of vertebrates coming from 22 collections across North America. In the first year of the project, the TPT collections created over 73,700 new records and 41,984 images. In addition, 17 TPT data providers and three other collaborators shared datasets that are now indexed by GloBI, visible on the TPT GloBI project page. These datasets came from collection specimen occurrence records and literature sources. Two TPT data archives that capture and preserve the changes in the data coming from TPT to GloBI were published through Zenodo (Poelen et al. 2020a, Poelen et al. 2020b). The archives document the changes in how data are shared by collections including the biotic association data format and quantity of data captured. The Poelen et al. 2020b report included all TPT collections and biotic interactions from Arctos collections in VertNet and the Symbiota Collection of Arthropods Network (SCAN). The total number of interactions included in this report was 376,671 records (500,000 interactions is the overall goal for TPT). In addition, close coordination with TPT collection data managers including many one-on-one conversations, a workshop, and a webinar (Sullivan et al. 2020) was conducted to help guide the data capture of biotic associations. GloBI is an effective tool to help integrate biotic association data coming from occurrence records into an openly accessible, global, linked view of existing species interaction records. The results gleaned from the TPT workshop and Zenodo data archives demonstrate that minimizing changes to existing workflows allow for custom interpretation of collection-specific interaction terms. In addition, including collection data managers in the development of the interaction term vocabularies is an important part of the process that may improve data sharing and the overall downstream data quality.

A workflow for standardising and integrating alien species distribution data

Biodiversity data are being collected at unprecedented rates. Such data often have significant value for purposes beyond the initial reason for which they were collected, particularly when they are combined and collated with other data sources. In the field of invasion ecology, however, integrating data represents a major challenge due to the notorious lack of standardisation of terminologies and categorisations, and the application of deviating concepts of biological invasions. Here, we introduce the SInAS workflow, short for Standardising and Integrating Alien Species data. The SInAS workflow standardises terminologies following Darwin Core, location names using a proposed translation table, taxon names based on the GBIF backbone taxonomy, and dates of first records based on a set of predefined rules. The output of the SInAS workflow provides various entry points that can be used both to improve coherence among the databases and to check and correct the original data. The workflow is flexible and can be easily adapted and extended to the needs of different users. We illustrate the workflow using a case-study integrating five widely used global databases of information on biological invasions. The comparison of the standardised databases revealed a surprisingly low degree of overlap, which indicates that the amount of data may currently not be fully exploited in the original databases. We highly recommend the use and development of publicly available workflows to ensure that the integration of databases is reproducible and transparent. Workflows, such as SInAS, ultimately increase trust in data, study results, and conclusions.

Control of undulator radiation using a Laser Plasma Acceleration Source

Spontaneous undulator radiation emission, after the COXINEL line using a Laser Plasma acceleration (LPA) source, has been observed. The line enables to manipulate the electron beam phase space such as emittance, dispersion and energy spread along a 10 m long transport. The large divergence is handled at a very early stage to mitigate the chromatic emittance, using high gradient permanent magnet based quadrupoles mounted on translation tables. The operating energy is between 161-180 MeV focused in a 2-m long cryo-ready undulator with a period of 18 mm emitting light in the Ultra-Violet range. The spectral flux is characterized using a spectrometer. The wavelength is tuned by either changing the electron beam energy or by adjusting the undulator gap. The radiation pattern signature is illustrated alongside its dependence on the energy spread that is modified by introducing a slit in a magnetic chicane where a small relative bandwidth of 5% has been achieved.

Performance of Cancer Recurrence Algorithms After Coding Scheme Switch From International Classification of Diseases 9th Revision to International Classification of Diseases 10th Revision.

We previously developed and validated informatic algorithms that used International Classification of Diseases 9th revision (ICD9)-based diagnostic and procedure codes to detect the presence and timing of cancer recurrence (the RECUR Algorithms). In 2015, ICD10 replaced ICD9 as the worldwide coding standard. To understand the impact of this transition, we evaluated the performance of the RECUR Algorithms after incorporating ICD10 codes. Using publicly available translation tables along with clinician and other expertise, we updated the algorithms to include ICD10 codes as additional input variables. We evaluated the performance of the algorithms using gold standard recurrence measures associated with a contemporary cohort of patients with stage I to III breast, colorectal, and lung (excluding IIIB) cancer and derived performance measures, including the area under the receiver operating curve, average absolute prediction error, and correct classification rate. These values were compared with the performance measures derived from the validation of the original algorithms. A total of 659 colorectal, 280 lung, and 2,053 breast cancer cases were identified. Area under the receiver operating curve derived from the updated algorithms was 89.0% (95% CI, 82.3% to 95.7%), 88.9% (95% CI, 79.3% to 98.2%), and 80.5% (95% CI, 72.8% to 88.2%) for the colorectal, lung, and breast cancer algorithms, respectively. Average absolute prediction errors for recurrence timing were 2.7 (SE, 11.3%), 2.4 (SE, 10.4%), and 5.6 months (SE, 21.8%), respectively, and timing estimates were within 6 months of actual recurrence for more than 80% of colorectal, more than 90% of lung, and more than 50% of breast cancer cases using the updated algorithm. Performance measures derived from the updated and original algorithms had overlapping confidence intervals, suggesting that the ICD9 to ICD10 transition did not affect the RECUR Algorithm performance.

Measuring Subjective Cognitive Decline in Older Adults: Harmonization between the Cognitive Change Index and the Measurement of Everyday Cognition Instruments

Background and Hypothesis: Self and informant reports of everyday cognitive functioning have been shown to be associated with incipient neurodegenerative disease. The 20-item Cognitive Change Index (CCI) [1] and the 39-item Measurement of Everyday Cognition (ECog) [2] were each developed to characterize early changes in cognitive function. The aim of this study is to examine the relationship between the CCI and ECog self- and informant-evaluations to improve early detection and longitudinal assessment of cognitive decline for observational research and clinical trials.
 Experimental Design or Project Methods: Self-evaluation data included 803 participants (49.3% male, mean age=69.9yrs) from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), the Indiana Alzheimer Disease Center (IADC), and the Indiana Memory and Aging Study (IMAS). Informant-evaluation data included 288 participants (39.9% male, mean age=66.9yrs) from the IMAS and IADC studies. Study participants from 2012 to 2019 were included if they had completed both the CCI and ECog at the time of their baseline visit. Pearson correlations, regression analyses, and frequency distributions were used to assess the relationship between the CCI and ECog. Sex, years of education, race, ethnicity, APOE ε4 carrier status, and baseline diagnosis were also analyzed as potential relevant covariates.
 Results: CCI and ECog total scores were highly correlated for the self (r=0.778, p<0.001) and informant (r=0.892, p<0.001). The highest associations were between the mean item scores for each instrument for both self (r=0.801, p<0.001) and informant (r=0.913, p<0.001). Frequency distributions showed distinct patterns between self and informant total scores. Polynomial regressions for self (R2=0.673) and informant (R2=0.873) total scores were used to create a translation table between the CCI and ECog.
 Conclusion and Potential Impact: Self and informant total scores can be harmonized and translated between the CCI and ECog to facilitate cross-sectional and longitudinal assessment of perceived cognitive change, an important patient reported outcome
 [1] Rattanabannakit et al. (2016). Journal of Alzheimer’s Disease, 51(4), 1145-1155.
 [2] Farias et al. (2008). Neuropsychology, 22(4), 531-544.

Evolution and Unprecedented Variants of the Mitochondrial Genetic Code in a Lineage of Green Algae.

Mitochondria of diverse eukaryotes have evolved various departures from the standard genetic code, but the breadth of possible modifications and their phylogenetic distribution are known only incompletely. Furthermore, it is possible that some codon reassignments in previously sequenced mitogenomes have been missed, resulting in inaccurate protein sequences in databases. Here we show, considering the distribution of codons at conserved amino acid positions in mitogenome-encoded proteins, that mitochondria of the green algal order Sphaeropleales exhibit a diversity of codon reassignments, including previously missed ones and some that are unprecedented in any translation system examined so far, necessitating redefinition of existing translation tables and creating at least seven new ones. We resolve a previous controversy concerning the meaning the UAG codon in Hydrodictyaceae, which beyond any doubt encodes alanine. We further demonstrate that AGG, sometimes together with AGA, encodes alanine instead of arginine in diverse sphaeroplealeans. Further newly detected changes include Arg-to-Met reassignment of the AGG codon and Arg-to-Leu reassignment of the CGG codon in particular species. Analysis of tRNAs specified by sphaeroplealean mitogenomes provides direct support for and molecular underpinning of the proposed reassignments. Furthermore, we point to unique mutations in the mitochondrial release factor mtRF1a that correlate with changes in the use of termination codons in Sphaeropleales, including the two independent stop-to-sense UAG reassignments, the reintroduction of UGA in some Scenedesmaceae, and the sense-to-stop reassignment of UCA widespread in the group. Codon disappearance seems to be the main drive of the dynamic evolution of the mitochondrial genetic code in Sphaeropleales.

Cross-cultural adaptation and inter-rater reliability of the Swedish version of the Chelsea critical care assessment tool (CPAX-Swe) in critically ill patients

Objectives To translate and culturally adapt the Chelsea Critical Care Physical Assessment Tool into Swedish and to test the inter-rater reliability of the Swedish version in critically ill patients. Design This is an observational study. Methods Translation and cross-cultural adaptation was performed in line with international recommendations, including forward and backward translation and expert round table discussions. The inter-rater reliability of the Chelsea Critical Care Physical Assessment Tool – Swedish was then explored in 50 critically ill adult patients, pragmatically recruited, in a University Hospital clinical setting. Reliability was calculated using intraclass correlation coefficient for aggregated scores and quadratic weighted Cohen’s kappa analysis for individual items Results The expert round table discussion group agreed that the translation was a satisfactory equivalent to the original version and applicable for use within the clinical setting. Reliability of aggregated scores and individual items were very good (intraclass correlation coefficient of 0.97 and quadric weighted kappa values ranging from 0.88 to 0.98). The measurement error for aggregated scores was low, with a standard error of measurement of 1.79, smallest detectable change of 4.95, and limits of agreement of 5.20 and −4.76. The percentage agreement for individual items ranged from 64% to 88%. Conclusion The Chelsea Critical Care Physical Assessment Tool – Swedish was found applicable and appropriate for assessment of functioning in critically ill patients in an acute setting in Sweden, and it displayed high inter-rater reliability. This implies that the Swedish version can be used as assessment tool within intensive care and acute wards in Sweden. Implications for rehabilitation There is a lack of validated instruments to test the functional status of critically ill patients in Sweden. The Chelsea Critical Care Physical Assessment Tool is validated and reliable in English. The Chelsea Critical Care Physical Assessment Tool – Swedish is considered reliable for use by physiotherapist in intensive care settings in Sweden. The Swedish version is feasible for use within clinical practice due to its simplicity and strong clinical relevance.

Interactive Browser-Based Genomics Data Visualization Tools for Translational and Clinical Laboratory Applications

Visualization-driven data exploration is a highly effective modality for interpreting and discovering insights from high-throughput genomics data sets; however, it is vastly underutilized in routine workflows in clinical and translation settings. We have developed three open-source, browser-based, interactive genomics data visualization widgets that can be used as intuitive stand-alone applications or integrated with existing web-based laboratory information solutions. The widgets were developed in JavaScript using the D3.js library. These widgets run in any modern web browser across desktop and mobile devices for easy accessibility but are designed for client-side data processing to address data privacy concerns. jsProteinMapper plots the location of a variant of interest relative to the protein domains and multiple variant databases, assisting with clinical interpretation of sequence variants. jsComut generates a highly interactive and customizable comutation plot for visual exploration of genomic data sets with clinicopathologic annotations to reveal unique molecular profiles and clinical correlates. jsCodonWheel is an interactive version of the ubiquitous circular codon-to-amino acid translation table, which lets users quickly map nucleotide changes onto resulting amino acid differences. These open-source visualization tools may improve some of the key laboratory workflows that involve the review of large-scale genomics data sets in a high-volume setting. The intuitive and responsive user interface, highly customizable visualizations, and easy integration with existing web-based laboratory software are significant highlights of these tools.

Low-overhead dynamic sharing of graphics memory space in GPU virtualization environments

The proliferation of GPU intensive workloads has created a new challenge for low-overhead and efficient GPU virtualization solutions over GPU clouds. gVirt is a full GPU virtualization solution for Intel’s integrated GPUs that share system’s on-board memory for graphics memory. In order to solve the inherent scalability limitation on the number of simultaneous virtual machines (VM) in gVirt, gScale proposed a dynamic sharing scheme for global graphics memory among VMs by copying the entries in a private graphics translation table (GTT) to a physical GTT along with a GPU context switch. However, copying entries between private GTT and physical GTT often causes significant overhead, which becomes worse when the global graphics memory space shared by each VM is overlapped. This paper identifies that the copy overhead caused by GPU context switch is one of the major bottlenecks in performance improvement and proposes a low-overhead dynamic memory management scheme called DymGPU. DymGPU provides two memory allocation algorithms such as size-based and utilization-based algorithms. While the size-based algorithm allocates memory space based on the memory size required by each VM, the utilization-based algorithm considers GPU utilization of each VM to allocate memory space. DymGPU is also dynamic in the sense that the global graphics memory space used by each VM is rearranged at runtime by periodically checking idle VMs and GPU utilization of each runnable VM. We have implemented our proposed approach in gVirt and confirmed that the proposed scheme reduces GPU context switch time by up to 53% and improved the overall performance of various GPU applications by up to 39%.

Unsupervised Neural Machine Translation with SMT as Posterior Regularization

Without real bilingual corpus available, unsupervised Neural Machine Translation (NMT) typically requires pseudo parallel data generated with the back-translation method for the model training. However, due to weak supervision, the pseudo data inevitably contain noises and errors that will be accumulated and reinforced in the subsequent training process, leading to bad translation performance. To address this issue, we introduce phrase based Statistic Machine Translation (SMT) models which are robust to noisy data, as posterior regularizations to guide the training of unsupervised NMT models in the iterative back-translation process. Our method starts from SMT models built with pre-trained language models and word-level translation tables inferred from cross-lingual embeddings. Then SMT and NMT models are optimized jointly and boost each other incrementally in a unified EM framework. In this way, (1) the negative effect caused by errors in the iterative back-translation process can be alleviated timely by SMT filtering noises from its phrase tables; meanwhile, (2) NMT can compensate for the deficiency of fluency inherent in SMT. Experiments conducted on en-fr and en-de translation tasks show that our method outperforms the strong baseline and achieves new state-of-the-art unsupervised machine translation performance.

Standalone verification of IOMMU with virtualization supporting

This article presents an approach to standalone verification of I/O Memory Management Unit with virtualization supporting. We presented the base architecture of the test system. The main problems encountered during the verification of IOMMU with virtualization support are considered. One of the key problems was the formation of translation table pages. The number of translation tables depends on the mode of IOMMU operation and the type of translation. As a solution of this problem the approach to the dynamic generation of translation tables is proposed. The algorithm for formation of translation table pages in the generator is presented. The problem of validating the translation of a virtual address into a physical one using two-level translation tables is solved. The features of the reference model implementation are considered. Reference model and test system which have been used for IOMMU verification of microprocessor with the 6th generation «Elbrus» architecture are described. The main components of the test system and the methods of communication between test system and IOMMU model are presented. The results of IOMMU verification are considered.

Military news at Hassan Bin Mohamed El-bourini writing biographies of Notables waqt: أخبار العسكر عند الحسن بن محمد البوريني في كتابه تراجم الأعيان من أبناء الزمان

Summary this study aims to follow military news and military when Hassan Bin Mohamed El-bourini writing biographies of objects, the study began with balborini definition in terms of his birth and early life to the definition and briefly with the ageing and his marriage and his trips, culture and exciting and his approach to writing translations. Then expanded the study to follow news of the military and the soldiers when bourini whether directly or news came came through from translate bourini, the study concluded that his bourini from information on the movement of alskbanet and other outlaw movements of the Ottoman Empire is considered one of the most important books on These particular topics and value of the information derived from the mantle and person without her, as the names of the table was installed translate bourini who linked to the military, telling them, this table at the end of the study and a summary of news items in each translation table preceded the finale outlined what study Concisely.

Scalable GPU Virtualization with Dynamic Sharing of Graphics Memory Space

With increasing GPU-intensive workloads deployed on cloud, cloud service providers are seeking for practical and efficient GPU virtualization solutions. However, the cutting-edge GPU virtualization techniques such as gVirt still suffer from the restriction of scalability, which constrains the number of guest virtual GPU instances. This paper presents gScale, a scalable and practical open source GPU virtualization solution based on gVirt. gScale presents a sharing mechanism which combines partition and sharing together to break the hardware limitation of global graphics memory space. Particularly, we propose two approaches for gScale: (1) the private shadow graphics translation table (GTT) , which enables global graphics memory space sharing among virtual GPUs, (2) ladder mapping and fence memory space pool, which allows CPU access host physical memory space (serving the graphics memory) to bypass global graphics memory space. Furthermore, to mitigate the performance degradation caused by switching private shadow GTT when the number of vGPUs scales up, four other mechanisms are proposed: (1) slot sharing, which improves the performance of vGPU by dividing the high global graphics memory into multiple slots, (2) fine-grained slotting, which provides a flexible virtual graphics memory configuration, (3) predictive GTT copy mechanism, which reduces the performance loss by switching private shadow GTT before context switch, (4) predictive-copy aware scheduling, which maximizes the improvement of predictive GTT copy mechanism in cloud environment. Evaluation shows that gScale scales up to 15 guest virtual GPU instances in Linux or 12 guest virtual GPU instances in Windows, which is 5x and 4x, respectively, that of gVirt. At the same time, gScale incurs a slight but acceptable runtime overhead when hosting multiple virtual GPU instances.

Acquiring Chinese paraphrases based on random walk of $N$ steps

The conventional “pivot” approach of acquiring paraphrases from bilingual corpus has certain limitations where only candidate paraphrases within two steps are considered. In this paper, we propose a graph-based model of acquiring paraphrases from a phrase translation table. First, we describe a graph-based model representing Chinese-English phrase translation relations, a random walk algorithm based on $N$ number of steps and a confidence metric for the obtained paraphrases. Furthermore, with the aim of finding more potential for Chinese paraphrases, we augment the model so that it is able to integrate other language pairs, such as English-Japanese phrase translation relations. We performed experiments on NTCIR Chinese-English and English-Japanese bilingual corpus and compared the results to those of conventional methods. The experimental results show that the proposed approach acquires more paraphrases. In addition, the performance was improved further after the English-Japanese phrase translations were added to the graph-based model.

Teoretyczne aspekty analizy wybranych źródeł błędów w profilowych pomiarach nierówności powierzchni

In the paper theoretical background regarding selected errors in profile methods of surface asperities measurements were presented. The influence of a tip was discussed for stylus (including geometry, pressure and flight) and optical probe basing on confocal chromatic effect. Problems connected with translation tables was described. Basic assumptions regarding accuracy parameters in topographical analysis was shown.

TaxaGloss - A Glossary and Translation Tool for Biodiversity Studies.

BackgroundCorrectly identifying organisms is key to most biological research, and is especially critical in areas of biodiversity and conservation. Yet it remains one of the greatest challenges when studying all but the few well-established model systems. The challenge is in part due to the fact that most species have yet to be described, vanishing taxonomic expertise and the relative inaccessibility of taxonomic information. Furthermore, identification keys and other taxonomic resources are based on complex, taxon-specific vocabularies used to describe important morphological characters. Using these resources is made difficult by the fact that taxonomic documentation of the world's biodiversity is an international endeavour, and keys and field guides are not always available in the practitioner's native language.New informationTo address this challenge, we have developed a publicly available on-line illustrated multilingual glossary and translation tool for technical taxonomic terms using the Symbiota Software Project biodiversity platform. Illustrations, photographs and translations have been sourced from the global community of taxonomists working with marine invertebrates and seaweeds. These can be used as single-language illustrated glossaries or to make customized translation tables. The glossary has been launched with terms and illustrations of seaweeds, tunicates, sponges, hydrozoans, sea anemones, and nemerteans, and already includes translations into seven languages for some groups. Additional translations and development of terms for more taxa are underway, but the ultimate utility of this tool depends on active participation of the international taxonomic community.

A novel nuclear genetic code alteration in yeasts and the evolution of codon reassignment in eukaryotes.

The genetic code is the cellular translation table for the conversion of nucleotide sequences into amino acid sequences. Changes to the meaning of sense codons would introduce errors into almost every translated message and are expected to be highly detrimental. However, reassignment of single or multiple codons in mitochondria and nuclear genomes, although extremely rare, demonstrates that the code can evolve. Several models for the mechanism of alteration of nuclear genetic codes have been proposed (including “codon capture,” “genome streamlining,” and “ambiguous intermediate” theories), but with little resolution. Here, we report a novel sense codon reassignment in Pachysolen tannophilus, a yeast related to the Pichiaceae. By generating proteomics data and using tRNA sequence comparisons, we show that Pachysolen translates CUG codons as alanine and not as the more usual leucine. The Pachysolen tRNACAG is an anticodon-mutated tRNAAla containing all major alanine tRNA recognition sites. The polyphyly of the CUG-decoding tRNAs in yeasts is best explained by a tRNA loss driven codon reassignment mechanism. Loss of the CUG-tRNA in the ancient yeast is followed by gradual decrease of respective codons and subsequent codon capture by tRNAs whose anticodon is not part of the aminoacyl-tRNA synthetase recognition region. Our hypothesis applies to all nuclear genetic code alterations and provides several testable predictions. We anticipate more codon reassignments to be uncovered in existing and upcoming genome projects.

Measurement and tricubic interpolation of the magnetic field for the OLYMPUS experiment

The OLYMPUS experiment used a 0.3T toroidal magnetic spectrometer to measure the momenta of outgoing charged particles. In order to accurately determine particle trajectories, knowledge of the magnetic field was needed throughout the spectrometer volume. For that purpose, the magnetic field was measured at over 36,000 positions using a three-dimensional Hall probe actuated by a system of translation tables. We used these field data to fit a numerical magnetic field model, which could be employed to calculate the magnetic field at any point in the spectrometer volume. Calculations with this model were computationally intensive; for analysis applications where speed was crucial, we pre-computed the magnetic field and its derivatives on an evenly spaced grid so that the field could be interpolated between grid points. We developed a spline-based interpolation scheme suitable for SIMD implementations, with a memory layout chosen to minimize space and optimize the cache behavior to quickly calculate field values. This scheme requires only one-eighth of the memory needed to store necessary coefficients compared with a previous scheme (Lekien and Marsden, 2005 [1]). This method was accurate for the vast majority of the spectrometer volume, though special fits and representations were needed to improve the accuracy close to the magnet coils and along the toroidal axis.

地下鉄車両における乗客の乗り心地特性・遅れ時間に関する研究

It is difficult to represent by physical quantities all phenomena that affect riding comfort. Whereas, it is known that the most important factor is the vibration acceleration of a vehicle. Until now, the riding comfort evaluation has executed through a test run by a real train. Testing conditions are apt to change test after test. We used a simulator to reproduce the acceleration of the railway vehicle. We can repeatedly evaluate riding comfort by using this simulator. The simulator was devised by combining the universal shaking table with a translation table and an inclination table. Depending on the frequency, a program can distributes the acceleration to the above components. A subject presses a switch when the subject feels bad ride. We got two types of data from simulations. One is a subjective data, namely, the time that subjects press the switch, and the proportion of the number of subjects who pushed the switch in bad ride. The other is an objective data such as vehicle’s running acceleration, jerk, and the tensile force of a strap. In this study, we clarify the correlation between the subjective data and the objective data. Then Correlation will lead us to evaluate the riding comfort from physical quantities. However, difference between two types of data will exist. The difference is called “delay time”. In this study, we will report about the delay time.