26,687 research outputs found
Editorial for ADAC issue 3 of volume 14 (2020)
No full textThis issue 3 of volume 14 (2020) of the journal Advances in Data Analysis and Classification (ADAC) contains eight articles that deal with decision trees, clustering via point processes, classification with paired covariates, a variant of canonical analysis, topological classification, Chi square decomposition, rank tests for functional data, and group comparisons with the heterogeneous choice model
Ha-Dibbur Ha-Ivri
No full textHebrew Speech, a manual for beginners for the study of Hebrew according to the Natural Method). Author: M. Krinsky. Illustrator: H. Goldberg. Publisher: Ha-Or Publishing. . 146 pp. 254 b/w ills. (+1 color chart) + cover b/w ill. primer.Digital imagedigitize
Differentiation of multiple types of pancreatico-biliary tumors by molecular analysis of clinical specimens
No full textTimely and accurate diagnosis of pancreatic ductal adenocarcinoma (PDAC)
is critical in order to provide adequate treatment to patients. However,
the clinical signs and symptoms of PDAC are shared by several types of
malignant or benign tumors which may be difficult to differentiate from
PDAC with conventional diagnostic procedures. Among others, these
include ampullary cancers, solid pseudopapillary tumors, and
adenocarcinomas of the distant bile duct, as well as inflammatory masses
developing in chronic pancreatitis. Here, we report an approach to
accurately differentiate between these different types of pancreatic
masses based on molecular analysis of biopsy material. A total of 156
bulk tissue and fine needle aspiration biopsy samples were analyzed
using a dedicated diagnostic cDNA array and a composite classification
algorithm developed based on linear support vector machines. All five
histological subtypes of pancreatic masses were clearly separable with
100\% accuracy when using all 156 individual samples for classification.
Generalized performance of the classification system was tested by
10x10-fold cross validation (100 test runs). Correct classification into
the five diagnostic groups was demonstrated for 81.5\% of 1,560 test set
predictions. Performance increased to 85.3\% accuracy when PDAC and
distant bile duct carcinomas were combined in a single diagnostic class.
Importantly, overall sensitivity of detection of malignant disease was
92.2\%. The molecular diagnostic approach presented here is suitable to
significantly aid in the differential diagnosis of undetermined
pancreatic masses. To our knowledge, this is the first study reporting
accurate differentiation between several types of pancreatico-biliary
tumors in a single molecular analytical procedure
Author Ha Jin at Kalamazoo College
No full textPhotographer unknown.Author Ha Jin's book "Waiting" was selected for the 2002 Summer Common Reading program at Kalamazoo College. The author visited campus that year as part of the program
Developing A Marketing Recruitment Strategy For International Business
No full textOver the last 20 years, recruiting strategies have changed considerably due to the expansion of technology and the Internet. Human resources are also contemplated as the core competitive factor of businesses. This research is conducted to systematize the theoretical basis related to recruitment marketing. Moreover, at various phases, it employs both qualitative and quantitative research approaches.
In terms of the empirical component, the owner of the corporate case provided qualitative data. In contrast, quantitative data from possible candidates were reviewed. The theoretical portion gives the audiences a fundamental understanding of recruiting and the use of a recruitment marketing strategy. The author researched some surveys and case studies to gather data from both employees and employers.
On the whole, the research findings disclosed the importance of recruitment marketing to international enterprises. Businesses should focus on recruitment marketing to improve recruitment efficiency and reach a bigger pool of potential talents. In the end, the author designated some recommendations for businesses to improve recruitment marketing effectiveness
All of Life as Worship, with Theological Librarian, PhD Candidate, and Author Sam Ha
No full textSam Ha, PhD Candidate and Meeter Center for Calvin Studies Curator, recently released his book, A Day of Worship: Adoring God in Every Moment. The book is a pastorally-rich, theologically in-depth exploration of how each moment of life-mundane and special-can be a form of worship before God. Within its first week, it became the 2nd most sold book in Christianity & theology books in Sam’s home country of Korea
Semiometrics: producing a compositional view of influence
No full textHigh-impact academic papers are not necessarily the most cited. For example, Einstein's 'Special Relativity' paper from 1905 received (and continues to receive) fewer citations from other papers than his 'Brownian Motion" paper of the same year, despite the former radically changing the course of an entire scientific discipline to a much greater extent. Similarly, 'impact' metrics using citation count alone are, it is argued, not adequate for determining the scientific influence of papers, authors or small groups of authors. Although valid, they remain controversial when used to determine influence of larger groups or journals. While the term 'impact' has become closely linked to a journal's citation-based Journal Impact Factor score, this thesis uses the term 'influence' to describe the wider effectiveness of research, combining citation and metadata analysis to allow richer calculations to be performed over large-scale document networks. As a result, more qualitative influence ratings can be determined and a broader outlook on scientific disciplines can be produced. These ratings are best applied using an ontology-based data source, allowing more efficient inference than under a traditional RDBMS system, and allowing easier integration between heterogeneous data sources. These metrics, termed 'Semantic Bibliometrics' or 'Semiometrics', can be applied at a variety of levels of granularity, allowing a compositional framework for impact and influence analysis. This thesis describes the process of data preparation, systems architecture, metric value and data integration for such a system, introducing novel approaches at all four stages, thereby creating a working semiometrics system for determining influence at different semantic levels of granularity
Detection of large sequence insertions by a hybrid approach that combine de novo assembly and resequencing of medium-coverage genome sequences
No full textLarge sequence insertion (LSI) is one of the structural variations (SVs) that may cause phenotypic differences in plants. To identify the LSIs using medium-coverage sequencing data of four wild soybean (Glycine soja) genotypes, we designed a hybrid approach combining de novo assembly and read mapping. Total reads and reads with both ends unmapped were independently assembled into “ordinary contigs” and “orphan contigs”, respectively, and subjected to pairwise alignment and stringent filtering. This approach predicted 24 LSIs averaging 2,682 bp in size, with no overlap with SVs detected by Pindel, BreakDancer, or ScanIndel, and they were validated by PCR. Compared with the soybean (Glycine max) reference genome, 20 LSIs were located outside genic regions. One of the four LSIs within a genic region, LSI05, is located in the coding DNA sequence region of a protein kinase superfamily gene (Glyma.08G123500). It caused delayed translation initiation and loss of 24 amino acids in the wild soybean genotype CW12. LSI05 was more frequently observed in 29 G. soja accessions than in 34 G. max accessions. Identified LSIs would be genomic resources harboring novel gene contents for studying SVs and improving crops. Moreover, our cost-efficient approach may be applicable to other plant species.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author
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