ConceptLink ConceptLink creates visual images for medical concepts. It allows the user to explore concept relationships visually. ConceptLink is also a visual interface for PUBMED (the National Library of Medicine's search engine for the world's largest medical literature database, MEDLINE). It guides the user to construct search queries through concept maps generated instantly from user's queries. By visualizing the complex concept relationships and providing interactive functions for the user to explore concept relationships, ConceptLink can significantly improves user's search and help the user understand the search results better. Our goal is to make the ConceptLink not only a search tool but also exploration and discovery tool.
Elsevier published 6 fake journals The Atrophy Of Objectivity\n\nIf I were to rate the corruptive tactics performed by big pharmaceutical companies during my intimate experience with them , the frequent and intentional strategy of implementing fabricated and unreliable results of clinical trials performed by others possibly tops the list. \n\nA list of corruptive tactics by the pharmaceutical industry that sponsors such trials. By this atrophy of the scientific method absent of authenticity that has been known to occur, harm and damage is possibly done to the health of the public. Conflicts of interest at Food and Chemical Toxicology and Elsevier The journal that published Seralini's paper and its publisher are enmeshed in conflicts of interest with industry. Information has been trickling in that sheds more light on the corporate influence on Food and Chemical Toxicology (FCT), the journal that retracted the Seralini study on GM maize and Roundup; its editor, A. Wallace Hayes; the former Monsanto scientist Richard E.
Retraction wars: is science broken? – Jill Neimark On 5 August 2014, a celebrated Japanese scientist was found dead, hanging by his neck at his workplace, his shoes politely removed and placed on the landing of the stairs. Yoshiki Sasai, 52, was a legendary stem-cell expert, widely regarded as an exceptional scientist, who worked at the RIKEN Center for Developmental Biology in Kobe. Seven months before he killed himself, Sasai and colleagues in Japan and Boston announced a stupefying research breakthrough in two papers in Nature. They claimed that ordinary mouse blood cells could be transformed into powerful stem cells – the holy grail of regenerative medicine – by simply bathing them in a mildly acidic solution (called STAP, for stimulus-triggered acquisition of pluripotency). Almost instantly, the work was called into question.
Map: explore the human disease network. Dataset, interactive map and printable poster of gene-disease relationships. Curious about the Diseasome map? Here are some answers to the most common questions asked: I. Drawing the map Falsification, Fabrication, and Plagiarism: The Unholy Trinity of Scientific Writing Article Outline One of the greatest, and sadly all too common, challenges facing a contemporary medical journal editor is the adjudication of ethical integrity issues. I had originally presumed that this would be just an occasional role, but it transpires that these problems are quite widespread, ranging from unconscious and unwitting naiveté to the conscious and willful betrayal of scientific trust. As a journal, we have no significant powers of investigation, and determining, often years after publication, what is truth and what is fiction can be impossibly hard.
ICD-10 Version:2016 Advanced search lets you search selected properties of the classification. You could search all properties or a selected subset only First, you need to provide keywords in the Search Text field then check the properties that you'd like to include in the search. The system will search for the keywords in the properties that you've checked and rank the results similar to a search engine Why Most Published Research Findings Are False Summary There is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance. Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true. Figures