Data Mining - Concepts and Techniques.

The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors. While the organization of the book is similar to previous editions, major emphasis has been placed on disorders that affect multiple organ systems. Important advances in genetics, immunology, and oncology are emphasized. Many chapters of the book have been rewritten and describe major advances in internal medicine. Subjects that received only a paragraph or two of attention in previous editions are now covered in entire chapters. Among the chapters that have been extensively revised are the chapters on infections in the compromised host, on skin rashes in infections, on many of the viral infections, including cytomegalovirus and Epstein-Barr virus, on sexually transmitted diseases, on diabetes mellitus, on disorders of bone and mineral metabolism, and on lymphadenopathy and splenomegaly. The major revisions in these chapters and many

Harrison's Principles of Internal Medicine

International Journal of Computer and Applications

IEEE Transactions on Pattern Analysis and Machine Intelligence

Curcumin is the active ingredient in the traditional herbal remedy and dietary spice turmeric (Curcuma longa). Curcumin has a surprisingly wide range of beneficial properties, including anti-inflammatory, antioxidant, chemopreventive and chemotherapeutic activity. The pleiotropic activities of curcumin derive from its complex chemistry as well as its ability to influence multiple signaling pathways, including survival pathways such as those regulated by NF-κB, Akt, and growth factors; cytoprotective pathways dependent on Nrf2; and metastatic and angiogenic pathways. Curcumin is a free radical scavenger and hydrogen donor, and exhibits both pro- and antioxidant activity. It also binds metals, particularly iron and copper, and can function as an iron chelator. Curcumin is remarkably non-toxic and exhibits limited bioavailability. Curcumin exhibits great promise as a therapeutic agent, and is currently in human clinical trials for a variety of conditions, including multiple myeloma, pancreatic cancer, myelodysplastic syndromes, colon cancer, psoriasis and Alzheimer’s disease.

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Curcumin: From ancient medicine to current clinical trials

The sustainable development goals (SDGs) address multifaceted problems that lie at the intersection between natural and socio-economic systems. While scholars agree that interdisciplinary research is needed to advance the SDGs, the concept of interdisciplinarity itself has been given limited attention. This article explores the interdisciplinarity of research published in the Journal of Sustainable Tourism using references cited by the journal’s articles. We use structural topic modeling to analyze research trends. The findings suggest that the research has become more interdisciplinary, however, knowledge is defined primarily by tourism studies and the business management discipline. To advance the SDGs, researchers should engage with disciplines such as anthropology and the humanities that can bring critical issues such as power relations and socio-cultural values to the forefront of sustainability discourses. Research should also conceptualize the SDGs as a network of targets to facilitate the integration of sustainable tourism outcomes with broader development goals.

Advancing Sustainable Development Goals through Interdisciplinarity in Sustainable Tourism Research

The opinionated text available on the Internet and Web 2.0 social media has created ample research opportunities related to mining and analyzing public sentiments. At the same time, the large volume of such data poses severe data processing and sentiment extraction related challenges. Different contemporary solutions based on machine learning, dictionary, statistical, and semantic based approaches have been proposed in literature for sentiment analysis of online user-generated data. Recent research studies have proved that supervised machine learning techniques like Naive Bayes (NB) and Support Vector Machines (SVM) are very effective for sentiment based classification of opinionated text. This paper proposes a hybrid sentiment classification model based on Boosted SVM. The proposed model exploits classification performance of two techniques (Boosting and SVM) applied for the task of sentiment based classification of online reviews. The results on movies and hotel review corpora of 2000 reviews have shown that the proposed approach has succeeded in improving performance of SVM when used as a weak learner for sentiment based classification. Specifically, the results show that SVM ensemble with bagging or boosting significantly outperforms a single SVM in terms of accuracy of sentiment based classification.

A boosted SVM based sentiment analysis approach for online opinionated text

Lyme disease is a multisystem infectious disease caused by the spirochete “Borrelia burgdorferi,” which is transmitted by “Ixodes” tick, with skin being the most common and earliest organ to be affected. Diagnosis of erythema chronicum migrans (ECM), which is the characteristic lesion of early disease, may help in early treatment and prevention of complications. Here, we are reporting a case of Lyme disease in a 10-year-old young boy from a non-endemic zone of Himachal Pradesh, who presented with typical as well as atypical ECM lesions. The clinical diagnosis was confirmed serologically, and the child was treated successfully with doxycycline.

Lyme disease: A case report with typical and atypical lesions

Background
Chikungunya virus (CHIKV) is an arthropod borne alphavirus of the family Togaviridae. CHIKV is a reemerging virus for which there is no safe prophylactic vaccine. A live attenuated strain of CHIKV, CHIK181/25, was previously demonstrated to be highly immunogenic in humans, however, it showed residual virulence causing transient arthralgia.

/pdf/inactivation-of-chikungunya-virus-by-1-5-iodonapthyl-azide-1bj3kp4jit.pdf

Inactivation of Chikungunya virus by 1,5 iodonapthyl azide

Background : Chikungunya virus (CHIKV) is a re-emerging pathogen that has caused widespread outbreaks affecting millions of people around the globe. Currently, there is no specific therapeutic drug against CHIKV, with symptomatic treatment only to manage the disease. Pi3-akt signaling has been implicated in infection of several viruses including that of CHIKV. Effect of Pi3-akt signaling inhibitors on CHIKV replication was evaluated in this study. Methods : Human primary dermal fibroblast cells were treated with inhibitors of the Pi3-akt signaling pathway. Suppression of CHIKV replication was evaluated as reduction in virus titer in cell supernatants. Effect of miltefosine (MF) on CHIKV replication was evaluated in pre and post treatment regimen. Inhibition of virus replication was determined by cell growth, virus titer and western blot. Results : Inhibition of Akt-phosphorylation significantly inhibited CHIKV replication. No effect on CHIKV replication was observed after treatment with Pi3-kinase and mTOR activation inhibitors. Further, MF, an FDA-approved Akt-inhibitor, inhibited CHIKV replication in pre- and post-infection treatment regimens. Conclusion : Data suggests that Akt-phosphorylation can be an amenable target of therapy against CHIKV infection. This is the first study to show inhibition of CHIKV replication by MF, and presents a case for further development of MF as an anti-CHIKV drug.

Anuj Sharma

Papers

Advancing Sustainable Development Goals through Interdisciplinarity in Sustainable Tourism Research

A boosted SVM based sentiment analysis approach for online opinionated text

Lyme disease: A case report with typical and atypical lesions

Inactivation of Chikungunya virus by 1,5 iodonapthyl azide

Miltefosine inhibits Chikungunya virus replication in human primary dermal fibroblasts.