1,486 research outputs found
Bibliographics for the 983 eprints in the live archives of E-LIS : trends and status report up to 7th July 2004, based on author-self-archiving metadata
The priority for ideas and philosophy related to "Network Theory" have been traced back and documented by Braun(2004),and credit goes to Karinthy(1929).The IT has empowered to realise it, as the most practical phenomena and it is no more a humour. The OAI (Open Archives Initiatives)and ACIS (Academic Contributor Information System)are progressive in the direction ,which may lead to realise the "Collective Genius" at global level. Focus of present study is on Author-Self-Archiving (A-S-A)Metadata of the 983 Eprints in the Live Archives of the E-LIS (EPrints of Library and Information Science),which were approved till 7th July 2004.The A-S-A Metadata was used for librametric analysis. Self-explanatory bibliographics are illustrated.The highlights include: Conference papers (34%); highest approval, June 2004 (28%); published archives (76%);not refereed (52%); not in public domain (60%); highest self-archiving-author (De Robbio, Antonella).The Nos. of EPrints having single JITA domain specifications were: Theoretical and general aspects of libraries and information(27); Information use and sociology of information(80);Users,literacy and reading(13);Libraries as physical collections(30);Publishing and legal issues(57);Management(13);Industry, profession and education(36);Information sources, supports, channels(113) ; Information treatment for information services, Information functions and techniques (101); Technical services libraries, archives and museums(25); Housing technologies(1); Information technology and library technology(92); and Inter-domainery (395) i.e. having specifications of two or more than two JITA classes
INSPEC database analysis for Knowledge Management records
The study deals with the Knowledge Management papers covered in the INSPEC, an international database on Information Science, Physical Sciences, Engineering and Computer Sciences. The papers have been analysed in terms of their content and other scientometric parameters
Investigation of Crohn's Disease Risk Loci in Ulcerative Colitis Further Defines Their Molecular Relationship
BACKGROUND & AIMS: Identifying shared and disease-specific susceptibility loci for Crohn's disease (CD) and ulcerative colitis (UC) would help define the biologic relationship between the inflammatory bowel diseases. More than 30 CD susceptibility loci have been identified. These represent important candidate susceptibility loci for UC. Loci discovered by the index genome scans in CD have previously been tested for association with UC, but those identified in the recent meta-analysis await such investigation. Furthermore, the recently identified UC locus at ECM1 requires formal testing for association with CD. METHODS: We analyzed 45 single nucleotide polymorphisms, tagging 29 of the loci recently associated with CD in 2527 UC cases and 4070 population controls. We also genotyped the UC-associated ECM1 variant rs11205387 in 1560 CD patients and 3028 controls. RESULTS: Nine regions showed association with UC at a threshold corrected for the 29 loci tested (P < .0017). The strongest association (P = 4.13 x 10(-8); odds ratio = 1.27) was identified with a 170-kilobase region on chromosome 1q32 that contains 3 genes. We also found association with JAK2 and replicated a recently reported association with STAT3, further implicating the role of this signaling pathway in inflammatory bowel disease. Additional novel UC susceptibility genes were LYRM4 and CDKAL1. Twenty of the loci were not associated with UC, and several appear to be specific to CD. ECM1 variation was not associated with CD. CONCLUSIONS: Collectively, these data help define the genetic relationship between CD and UC and characterize common, as well as disease-specific mechanisms of pathogenesis
Protons released during pancreatic acinar cell secretion acidify the lumen and contribute to pancreatitis in mice
Secretory granules are acidic; cell secretion will therefore lead to extracellular acidification. We propose that during secretion, protons co-released with proteins from secretory granules of pancreatic acinar cells acidify the restricted extracellular space of the pancreatic lumen to regulate normal physiological and pathophysiological functions in this orga
Hypermethylation of O6-methylguanine-DNA methyltransferase promoter as a good predictor for colorectal cancer patients receiving chemotherapy
Very long term height and weight recovery after childhood liver transplantation
Aims: Artificial neural networks (ANN) are computer programs used to identify complexrelations within data that cannot be detected with conventional linear-statistical analysis.The routine clinical predictions of need for lower gastrointestinal endoscopy have beenbased on population statistics with little meaning for individual patient. This results in largenumber of unnecessary colonoscopies. We aimed to develop a neural network algorithmwhich can accurately predict presence of pathology in patients attending routine outpatientclinics. Methods: 300 patients undergoing lower gastrointestinal endoscopy prospectivelycompleted a specifically developed questionnaire which included 40 variables based onclinical symptoms, signs, past and family history. Complete data sets of 50 percent of serieswere used to train the artificial neural network; the remaining 50 percent were used forinternal validation. The primary output used was a positive finding on the colonoscopy,including polyps, cancer, diverticular disease or colitis. Results: The outcome and pathologyreports of all the patients were obtained and assessed. Clear correlation between actual datavalue and artificial neural network value were found (r = 0.931; P = 0.0001). The predictiveaccuracy of neural network was 95% in the training group and was 89% (95% CI 84-96)in the validation set. This accuracy was significantly higher than the clinical accuracy (69%).Conclusions: We have shown that ANN is more accurate than standard statistics whenapplied to prediction in individual patients of need for lower gastrointestinal endoscopy.These results have obvious implications, with at least 20% resultant decrease in need forunnecessary lower gastrointestinal endoscopy. The logistic and economic impact with thisdevelopment is tremendous
Abstract 5503: Interplay between the transcription factors PRRX1 and FOXM1 in pancreatic cancer
Abstract
Introduction: We have identified previously the Paired Related Homeobox 1 gene (Prrx1) as a key regulator of embryonic ductal development, acinar-to-ductal metaplasia (ADM) and pre-cancerous lesion (PanIN)/pancreatic ductal adenocarcinoma (PDAC) progression (Reichert M. et al Genes & Dev 2013). We discovered an isoform switch between PRRX1A and PRRX1B occurring in EMT-MET plasticity in pancreatic tumorigenesis (EMT) and metastatic colonization of the liver (MET) (Takano S. et al Genes & Dev 2016). The transcription factor FOXM1 is also implicated in EMT of pancreatic cancer cells. Interestingly, both transcription factors, FOXM1 and PRRX1, are overexpressed in PDAC. The aim of this study was to investigate if PRRX1, specifically its isoforms, might interact with FOXM1, to regulate gene transcription in pancreatic cancer.
Methods: Experiments were performed in human pancreatic cancer cells (PANC1, MIA PaCa2 and BxPC3), and HEK293T cells. Epitope-tagged PRRX1 and FOXM1 proteins (wild type or deletion mutants) were either transiently or stably expressed in these cells. Immunoprecipitation and western blot were performed to evaluate potential interaction between PRRX1 and FOXM1. As a functional readout, the TnC and 6xFOXM1 luciferase reporters were used to measure Tenascin C and FOXM1 transcriptional activities.
Results: Immunoprecipitation of tagged-PRRX1 or endogenous FOXM1 showed co-binding of both PRRX1 isoforms (A and B) with FOXM1 in pancreatic cancer cells. We further characterized this interaction using deletion mutants of PRRX1 C-terminal region, FOXM1 binds to the 200-222 amino acid region of PRRX1. Similarly, using deletion mutants of the FOXM1 N-terminal region we mapped PRRX1 binding to the winged helix DNA binding domain of FOXM1. Interestingly, we also observed co-binding of HA-tagged PRRX1A with either Flag-tagged PRRX1A or PRRX1B suggesting homo and heterodimerization of the PRRX1 isoforms. Next, we found that co-expression of PRRX1 and FOXM1 cooperatively induced transcriptional activity of a known PRRX1 target gene, Tenascin C. Furthermore, co-expression of PRRX1A and FOXM1 cooperatively induced FOXM1 transcriptionnal activity. FOXM1 has been reported to regulate Wnt signaling in glioblastomas (Zhang N. et al. Cancer Cell 2011). Given the importance of Wnt signaling in early pancreatic carcinogenesis, we observed co-binding of PRRX1 and FOXM1 with beta-catenin.
Conclusion: Our results provides new insights in the interaction of PRRX1 and FOXM1 with functional activation of FOXM1 mediated transcriptional activity, and potential regulation of the Wnt pathway.
Citation Format: Benoit Marchand, Maximilian Reichert, Meredith A. Collins, Anil K. Rustgi. Interplay between the transcription factors PRRX1 and FOXM1 in pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5503. doi:10.1158/1538-7445.AM2017-5503</jats:p
Introducing uncertainty into evacuation modeling via dynamic traffic assignment with probabilistic demand and capacity constraints
Emergency evacuations are low-probability-high-consequence events that have attracted the attention of researchers since 1960s. An evacuation process can be triggered by various natural (hurricane, flood, tsunami etc.) and man-made (industrial accidents, terrorist attack etc.) events. Regardless of the threat, the nature of the evacuation process involves a very high utilization of the transportation network and searching for plans/strategies to move large number of people to a safe place in the shortest possible time. Researchers from different disciplines approach to the evacuation problem from different perspectives. Two major components of any evacuation event are estimation of the evacuation demand and traffic analysis to make planning inferences about the evacuation performance measures such as clearance time. Although related studies and real-life practices show a significant uncertainty regarding the evacuation demand due to the unpredictability of human behavior and changing roadway as a result of disaster impacts, the state-of-the-practice does not consider this type of randomness. This dissertation aims to address this important gap by proposing a dynamic traffic assignment formulation with probabilistic constraints that takes into account uncertainties in demand and roadway capacities. The proposed model uses a cell transmission model based system optimal dynamic traffic assignment formulation. The demand and roadway capacities are assumed to follow a discrete random distribution and the p-level efficient points approach [115] is employed to solve the proposed model. Two numerical examples regarding the use of the model are provided. The numerical examples also discuss the implications using individual chance constraints vs. joint chance constraints which provide different interpretations for the reliability of the results. Overall, the proposed formulation generates evacuation time performance measures that can be interpreted within reliability measures rather than single deterministic point estimates that would not be necessarily observed during a real life test, mainly due to high level of uncertainty created by human behavior and capacity impacts of the disaster.Ph.D.Includes bibliographical referencesIncludes vitaby Mustafa Anil Yazic
Eurydice mohani Anil & Jayaraj 2023, sp. nov.
<i>Eurydice mohani</i> sp. nov. <p>(Figures 6–9)</p> <p> <i>Material examined</i></p> <p> <i>Holotype.</i> Male (3.5 mm), sta. Corbyns Cove (low-tide zone), 11.37′483°N, 92.45′140°E, South Andaman, Andaman Islands, intertidal sand, coll. Pathan Anil, 18 November 2016 (Reg. no. PUMB 3585).</p> <p> <i>Paratypes.</i> 1 male (3.4 mm), 3 females (3.3, 3.4, 3.4 mm), same data as holotype (Reg. no. PUMB 3586). 1 male (3.4 mm), 2 females (3.3, 3.4 mm): sta Marina Park (low-tide zone), 11.40′18°N, 092.44′58°E, South Andaman, Andaman Islands, intertidal sand, coll. Pathan Anil, 9 December 2016 (Reg. no. PUMB 3587; Reg. no. BAKRZRL 2704, 2705).</p> <p> <i>Description of male holotype.</i> Body about 2.3 times as long as greatest width; maximum width at pereonites 4 and 6. Cephalon anterior median margin weakly produced, with minute rostral point. Eyes prominent. Coxae 2–3 posteriorly sub-acute with minute setae, posterolateral angles of coxae 6–7 acute with minute setae, not produced. Pleonite 1 concealed by pereonite 7, ventral margins of pleonites 2–4 produced with acute points. Pleotelson about 82% as long as pleon in lateral view; lateral distal margins are sinuate; pleotelson posterior margin 20% of pleotelson anterior width, convex, subtruncate with 6 PMS and 4 RS, dorsally with minute thin setae; anterodorsal surface without distinct depression.</p> <p>Antennula peduncle article 1 anteriorly with 1 simple, 1 pappose setae; article 2 slightly shorter (0.83 times) than 3; article 2 posterodistal angle with 2 simple, 1 pappose setae, anterodistal angle with 1 simple seta; article 3 anterodistal angle with 4 simple short setae; flagellum about 0.8 times as long as peduncle, with 5 articles, article 1 of which is longest, about 1.7 times as long as article 2; flagellum extending to anterior of pereonite 1. Antenna peduncle article 1 dorsal posterior margin with 1 seta, article 2 anterodistal angle with 2 slender simple setae; article 3 short and wide, about 0.9 times as long as wide and about 1.5 times as long as article 2, anterior margin with 8 simple long setae, posterior distal margin with 1 simple long seta; article 4 longest about 2.3 times as long as 3, anterior margin with 4 clusters of 2, 2, 2 and 2 simple long setae, posterior margin with 3 long simple setae and 1 brush-tipped seta; flagellum extending to mid-pereonite 5, composed of about 12 articles.</p> <p>Frontal lamina distinct; clypeus blade prominent. Mandible spine row with 7 spines; molar process anterior margin with about 21 teeth; article 2 with 4 simple long setae; article 3 apically with 3 simple long setae. Maxillule lateral lobe with 12 RS, medial lobe with 3 CPS and 1 simple seta. Maxilla lateral lobe with 3 stiff simple setae, middle lobe with 5 weakly serrate setae, medial lobe with 5 simple setae and 3 CPS. Maxilliped article 2 medial distal margin with 5 long setae, lateral margin with 1 long seta; article 3 medial distal margin with 4 long setae, lateral margin with 1 long seta; article 4 medial distal margin with 4 long setae, lateral margin with 1 long seta; article 5 apically 6 long setae; endite with 1 CPS and 3 simple setae.</p> <p>Pereopod 1 basis 3.3 times as long as greatest width, superior proximal margin with 3 small sensory palmate setae, distal margin with 3 long setae, inferior margin with 10 long setae; ischium 0.7 times as long as basis, superior distal margin with 8 long setae, dorsal posterior margin with 3 long setae, inferior margin with 8 long setae; merus inferior margin with 3 RS and 7 long setae, dorsal medial margin with 2 simple long setae and 1 short RS, superior distal margin with 6 long setae; carpus inferior margin with 1 RS and 6 simple long setae; propodus 3.8 times as long as width, inferior margin with 3 RS and 9 long setae; dactylus about half as long as propodus, robust seta opposing dactylus extending to accessory unguis; accessory unguis slender, 0.8 times length of unguis.</p> <p>Pereopod 2 basis about 3.9 times as long as wide, superior margin with 3 small sensory palmate setae, inferior distal angle with 18 long setae; ischium 2.2 times as long as basis, inferior margin with 2 RS and 11 long setae,dorsal posterior margin with 4 long setae,superior distal margin with 8 long setae; merus inferior margin with 5 RS and 9 long setae, superior distal angle with 8 long setae; carpus inferior distal angle with 2 RS and 5 long setae;propodus 4.1 times as long as width, inferior margin with 3 RS and 8 long setae, dorsal posterior margin with 1 short RS; dactylus about half as long as propodus; robust seta opposing dactylus extending to accessory unguis; accessory unguis 0.9 times length of unguis.</p> <p>Pereopod 3 basis superior margin with 3 small sensory palmate setae, inferior margin with 13 long setae; ischium inferior margin with 2 RS and 12 long setae, dorsal medial margin with 5 long setae, superior distal angle with 9 long setae; merus inferior margin with 6 RS and 9 long setae, superior distal angle with 7 long setae; carpus inferior distal angle with 2 RS and 5 long setae; propodus inferior margin with 3 RS and 10 long setae; dactylus less than half as long as propodus; robust seta opposing dactylus extending near to accessory unguis. Pereopods 5–7 similar to each other.</p> <p>Pereopod 6 basis 5.6 times as long as wide, superior margin with 2 small sensory palmate setae and 6 long setae, inferior margin with 13 long setae; ischium 0.8 times as long as basis, inferior margin with 15 RS and 11 long setae, superior margin with 4 RS and 11 long setae; merus 0.5 times as long as ischium, 1.8 times as long as wide, inferior margin with 5 RS and 2 long setae, superior margin with 4 RS and 7 long setae; carpus 0.9 times as long as ischium, 2.5 times as long as wide, inferior margin with 6 RS, 1 uni-serrate seta and 1 long seta, superior margin with 5 RS, 1 uni-serrate seta and 4 simple long setae; propodus 0.6 times as long as ischium, 4.9 times as long as wide, inferior margin with 10 RS and 2 long setae, superior margin with 5 RS and 4 long setae; dactylus 0.6 times as long as propodus.</p> <p>Pereopod 7 basis 5.8 times as long as wide, superior margin with 4 small sensory palmate setae and 3 long setae, inferior margin with 10 long setae and 1 long uni-serrate seta; ischium 0.9 times as long as basis, inferior margin with 7 RS and 11 long setae, superior margin with 3 RS and 9 long setae; merus 0.7 times as long as ischium, 1.9 times as long as wide, inferior margin with 4 RS, 3 bi-serrate setae and 3 long setae, superior margin with 2 bi-serrate setae, 1 RS and 5 long setae; carpus 0.9 times as long as ischium, 2.7 times as long as wide, inferior margin with 6 RS, 1 bi-serrate seta and 6 long setae, superior margin with 7 RS, 1 uni-serrate seta and 4 long setae; propodus 0.8 times as long as ischium, 5.1 times as long as wide, inferior margin with 14 RS and 1 bi-serrate seta, superior margin with 10 RS and 8 long setae.</p> <p>Penes 1.6 times as long as basal width, distal margin rounded.</p> <p>Pleopod 1 exopod 1.6 times as long as wide, lateral margin weakly convex, distally narrowly rounded with oblique medial margin, mesial margin strongly convex, with PMS from distal one-fourth, with 20 PMS; endopod 2.2 times as long as wide, distally narrowly rounded, lateral margin weakly convex, with PMS from distal one-third, mesial margin with PMS from distal one-sixth, endopod with 10 PMS; peduncle 0.8 times as wide as long, mesial margin with 4 coupling setae, 2 plumose setae and 1 short setae. Pleopod 2 exopod with 20 PMS, endopod with 9 PMS; appendix masculina arises from medial margin of the endopod, lateral margin with a sinuate notch and apex is rounded, appendix masculina 0.4 times as long as endopod, projecting beyond mid-region of endopod by 0.02 of its length. Pleopod 3 exopod with 20 PMS, endopod with 9 PMS. Pleopod 4 exopod with 24 PMS, endopod with 8 PMS. Pleopod 5 exopod with 22 PMS. Pleopods 3–5 exopods with complete sutures.</p> <p>Uropod peduncle lateral margin with 5 stiff PMS and 1 RS; exopod rounded, about 0.9 times as long as length of endopod lateral margin, medial margin with about 12 PMS and 3 RS; endopod lateral margin straight, with 2 setae, medial margin obliquely truncate, with 2 small RS and 20 PMS.</p> <p> <i>Female.</i> As for male but body slightly broader, about 1.5 times as long as greatest width; antennulae shorter reaching mid-region of the eye; antennae shorter, reaching posterior margin of pereonite 4; pleotelson about 80% as long as pleon in lateral view.</p> <p> <i>Colour.</i> Body white; black chromatophores occur densely on the dorsal surface of the pereion, pleon and pleotelson.</p> <p> <i>Remarks.</i> <i>Eurydice mohani</i> sp. nov. can be identified by the pleotelson posterior margin being 20% of pleotelson anterior width, with 6 plumose marginal setae, anterodorsal surface without distinct depression; appendix masculina 0.4 times as long as endopod, projecting beyond mid-region of endopod by 0.02 of its length, lateral margin with a sinuate notch and apex is rounded; the antennal flagellum is relatively short, extending to mid-length of pereonite 5.</p> <p> <i>Eurydice mohani</i> sp. nov. is separated from <i>Eurydice andamanensis</i> sp. nov. by the antennula flagellum extending to anterior of pereonite 1 (vs posterior of pereonite 1), posterior margin of pleotelson one-fifth of pleotelson anterior width, with 6 plumose marginal setae (vs one-fourth and 11 plumose marginal setae), pleotelson anterodorsal surface without distinct depression (vs distinct depression), appendix masculina lateral margin with a sinuate notch (vs lacking), appendix masculina 0.4 times as long as endopod, projecting beyond mid-region of endopod by 0.02 of its length (vs 0.8 long as endopod, projecting slightly beyond by one-third of its length), uropodal exopod medial margin rounded (vs obliquely subtruncate).</p> <p> <i>Eurydice mohani</i> sp. nov. is similar to <i>Eurydice barnardi</i> Bruce and Soares, 1996, which was described from the Atlantic coast of South Africa and shares some characters such as cephalon anterior median margin with minute rostral point, coxae 2–3 posteriorly sub-acute, posterolateral angles of coxae 6–7 acute, not produced, and pleotelson anterodorsal surface without depression, but <i>E. mohani</i> sp. nov. differs from <i>E. barnardi</i> in the pleotelson posterior margin 20% of width (vs 5% of width), pleotelson posterior margin with 4 robust setae and 6 plumose marginal setae (vs 2 robust setae and 3 plumose marginal setae), appendix masculina lateral margin with sinuate notch (vs lacking).</p> <p> <i>Eurydice mohani</i> sp. nov. can be separated from <i>Eurydice indicis</i> by convex pleotelson posterior margin, with 6 plumose marginal setae (vs straight with 8 plumose marginal setae), pleotelson anterodorsal surface without distinct depression (vs distinct depression), appendix masculina lateral margin with sinuate notch (vs lacking notch).</p> <p> <i>Eurydice mohani</i> sp. nov. also differs from <i>Eurydice peraticis</i> in pleotelson posterior margin convex with 6 plumose marginal setae (vs almost straight with 13 plumose marginal setae), appendix masculina lateral margin with sinuate notch (vs lacking notch).</p> <p> <i>Distribution.</i> Known only from the type locality: South Andaman, Andaman Islands.</p> <p> <i>Etymology.</i> This species is named in honour of Dr P.M. Mohan, Professor, Department of Ocean Studies and Marine Biology, Pondicherry Central University, the DC member of the first author (Pathan Anil) and a well-known benthologist, taxonomist and ecologist in India.</p>Published as part of <i>Anil, Pathan & Jayaraj, K. A., 2023, Two new species of Eurydice Leach, 1815 (Crustacea: Isopoda: Cirolanidae) from the Andaman Islands, northern Indian Ocean, pp. 976-995 in Journal of Natural History 57 (13 - 16)</i> on pages 986-993, DOI: 10.1080/00222933.2021.2017046, <a href="http://zenodo.org/record/8221408">http://zenodo.org/record/8221408</a>
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