Visual and computational analysis of structure-activity relationships in high-throughput screening data

Novel analytic methods are required to assimilate the large volumes of structural and bioassay data generated by combinatorial chemistry and high-throughput screening programmes in the pharmaceutical and agrochemical industries. This paper reviews recent work in visualisation and data mining that can be used to develop structure-activity relationships from such chemical/biological datasets

Understanding Psycholinguistic Behavior of predominant drunk texters in Social Media

In the last decade, social media has evolved as one of the leading platform to create, share, or exchange information; it is commonly used as a way for individuals to maintain social connections. In this online digital world, people use to post texts or pictures to express their views socially and create user-user engagement through discussions and conversations. Thus, social media has established itself to bear signals relating to human behavior. One can easily design user characteristic network by scraping through someone's social media profiles. In this paper, we investigate the potential of social media in characterizing and understanding predominant drunk texters from the perspective of their social, psychological and linguistic behavior as evident from the content generated by them. Our research aims to analyze the behavior of drunk texters on social media and to contrast this with non-drunk texters. We use Twitter social media to obtain the set of drunk texters and non-drunk texters and show that we can classify users into these two respective sets using various psycholinguistic features with an overall average accuracy of 96.78% with very high precision and recall. Note that such an automatic classification can have far-reaching impact - (i) on health research related to addiction prevention and control, and (ii) in eliminating abusive and vulgar contents from Twitter, borne by the tweets of drunk texters.Comment: 6 pages, 8 Figures, ISCC 2018 Workshops - ICTS4eHealth 201

Internet addiction: a systematic review of epidemiological research for the last decade

In the last decade, Internet usage has grown tremendously on a global scale. The increasing popularity and frequency of Internet use has led to an increasing number of reports highlighting the potential negative consequences of overuse. Over the last decade, research into Internet addiction has proliferated. This paper reviews the existing 68 epidemiological studies of Internet addiction that (i) contain quantitative empirical data, (ii) have been published after 2000, (iii) include an analysis relating to Internet addiction, (iv) include a minimum of 1000 participants, and (v) provide a full-text article published in English using the database Web of Science. Assessment tools and conceptualisations, prevalence, and associated factors in adolescents and adults are scrutinised. The results reveal the following. First, no gold standard of Internet addiction classification exists as 21 different assessment instruments have been identified. They adopt official criteria for substance use disorders or pathological gambling, no or few criteria relevant for an addiction diagnosis, time spent online, or resulting problems. Second, reported prevalence rates differ as a consequence of different assessment tools and cut-offs, ranging from 0.8% in Italy to 26.7% in Hong Kong. Third, Internet addiction is associated with a number of sociodemographic, Internet use, and psychosocial factors, as well as comorbid symptoms and disorder in adolescents and adults. The results indicate that a number of core symptoms (i.e., compulsive use, negative outcomes and salience) appear relevant for diagnosis, which assimilates Internet addiction and other addictive disorders and also differentiates them, implying a conceptualisation as syndrome with similar etiology and components, but different expressions of addictions. Limitations include the exclusion of studies with smaller sample sizes and studies focusing on specific online behaviours. Conclusively, there is a need for nosological precision so that ultimately those in need can be helped by translating the scientific evidence established in the context of Internet addiction into actual clinical practice

Bibliometric cartography of information retrieval research by using co-word analysis

The aim of this study is to map the intellectual structure of the field of Information Retrieval (IR) during the period of 1987-1997. Co-word analysis was employed to reveal patterns and trends in the IR field by measuring the association strengths of terms representative of relevant publications or other texts produced in IR field. Data were collected from Science Citation Index (SCI) and Social Science Citation Index (SSCI) for the period of 1987-1997. In addition to the keywords added by the SCI and SSCI databases, other important keywords were extracted from titles and abstracts manually. These keywords were further standardized using vocabulary control tools. In order to trace the dynamic changes of the IR field, the whole 11-year period was further separated into two consecutive periods: 1987-1991 and 1992-1997. The results show that the IR field has some established research themes and it also changes rapidly to embrace new themes

The Analysis of Existing Experience for the Ethnobotanical Information System

Ethnobotanical researches reflect the conventional learning of a region. Over the previous decade, medical plants which used for healing indigenous people has become a significant notion among the people and impacted improvement of scientific and ethnobotanical knowledge and investigations of eliminating health problems. A public database has been based on data assembled from various verifiable sources, including journals, travel records, and treatises on therapeutic plants, composed by explorers, botanists, doctors, researchers who went to the nations during the most recent three centuries. In addition, ethnobotanical data depicted in chronicled natural accumulations and in Ancient and Medieval writings from the inquired district have been incorporated into the database. The databases have to be sufficiently adaptable to illustrate a valuable tool for analysts who need to store and analyze present and past ethnobotanical data from the researched location. The ethnobotanical researches are improved in Azerbaijan day by day. The database is used for informing people about some national plants which are growing in the different region of Azerbaijan. The ethnobotanical databases from different countries are analyzed in this article.There are used some special methods for comparing the differences among these databases as data mining and text mining. As a first step the suitable databases are gathered for our investigation, then are defined the best information systems that are used in many countries\u27 biologists and scientists and the end is observed advantages and disadvantages of all existing ethnobotanical databases which we researched. The features of information systems are evaluated. The results demonstrated each of databases has its very own quality, but none has turned a standard form for universal research. The reason is very basic: none of these databases enable specialists to include their own information. There is also illustrated sample structure, main tables and key components of the ethnobotanical database.The obtained results, while a few ethnobotanical databases existing, none are satisfactory answers for worldwide work, and none enable analysts to include their very own information. There is a need brought together all essential properties of existing databases, and creating a free database that encourages ethnobotanical research. Due to the rise and quick improvement in the field of data advances, it has now turned out to be conceivable to digitize, oversee and make ethnobotanical information accessible to a more extensive gathering of people