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A reproductive plan is a type of adaptive procedure devised by Holland which embodies many principles found in the adaptation of natural systems through evolution. This study develops a reproductive meta‐plan, an adaptive procedure that controls the modification of parameter values in a reproductive plan. After a brief review of Holland's formalization of reproductive plans, a non‐reproductive meta‐plan devised by Cavicchio is discussed. In response to some of the limitations of Cavicchio's approach, a reproductive meta‐plan is developed. Experiments with computer implementations of both meta‐plans show improvement in a reproductive plan's utility gain when the reproductive meta‐plan is used.

These substances, resulting from the constant building‐up and breaking‐down of living tissues, have most friendly relations with their host, although antagonists—antimetabolites—appear now and then and disrupt their functions. In some of the inborn errors of metabolism, the antagonism is permanent and unless replacement therapy occurs at a very early stage, it interferes with physical and/or mental development. That metabolites from other sources introduced into a host could be extremely toxic was amply illustrated when a metabolite of certain strains of Aspergillus flavus, a fungus commonly found in peanuts and other vegetable seeds, caused severe losses to turkey breeders a few years ago. In 1960, it was discovered that the toxic principle was aflatoxin, which had a number of components and that all farm and laboratory animals, with the exception of sheep, were sensitive to it. Now, it has been confirmed that pure aflatoxin added to a normal laboratory diet is carcinogenic. (J. H. Butler and J. M. Barnes, 1963, Brit. J. Cancer, 17, 699.) Cows fed on highly toxic meal secreted a milk factor which proved to be toxic to ducklings. (H. de Iongh, R. O. Vles, and J. G. van Pelt, 1964, Nature, 202, 466.)

This research study proposes a feature-centric spam email detection model (FSEDM) based on content, sentiment, semantic, user and spam-lexicon features set. The purpose of this study is to exploit the role of sentiment features along with other proposed features to evaluate the classification accuracy of machine learning algorithms for spam email detection.

Existing studies primarily exploits content-based feature engineering approach; however, a limited number of features is considered. In this regard, this research study proposed a feature-centric framework (FSEDM) based on existing and novel features of email data set, which are extracted after pre-processing. Afterwards, diverse supervised learning techniques are applied on the proposed features in conjunction with feature selection techniques such as information gain, gain ratio and Relief-F to rank most prominent features and classify the emails into spam or ham (not spam).

Analysis and experimental results indicated that the proposed model with sentiment analysis is competitive approach for spam email detection. Using the proposed model, deep neural network applied with sentiment features outperformed other classifiers in terms of classification accuracy up to 97.2%.

This research is novel in this regard that no previous research focuses on sentiment analysis in conjunction with other email features for detection of spam emails.

The purpose of this paper is to present a narrative review of studies on the citing behavior of scientists, covering mainly research published in the last 15 years. Based on the results of these studies, the paper seeks to answer the question of the extent to which scientists are motivated to cite a publication not only to acknowledge intellectual and cognitive influences of scientific peers, but also for other, possibly non‐scientific, reasons.

The review covers research published from the early 1960s up to mid‐2005 (approximately 30 studies on citing behavior‐reporting results in about 40 publications).

The general tendency of the results of the empirical studies makes it clear that citing behavior is not motivated solely by the wish to acknowledge intellectual and cognitive influences of colleague scientists, since the individual studies reveal also other, in part non‐scientific, factors that play a part in the decision to cite. However, the results of the studies must also be deemed scarcely reliable: the studies vary widely in design, and their results can hardly be replicated. Many of the studies have methodological weaknesses. Furthermore, there is evidence that the different motivations of citers are “not so different or ‘randomly given’ to such an extent that the phenomenon of citation would lose its role as a reliable measure of impact”.

Given the increasing importance of evaluative bibliometrics in the world of scholarship, the question “What do citation counts measure?” is a particularly relevant and topical issue.

Literature practices represent the process leading up to the citation of a source, and consist of the selection, reading and citing of sources. The purpose of this paper is to explore possible factors that might influence researchers during this process and discover possible consequences of researchers’ citation behaviours.

In this exploratory study, various factors which could influence literature practices were explored via a questionnaire amongst 112 researchers. Participants were first authors of articles published in 2016 in one of five different journals within the disciplines of experimental psychology, educational sciences and social psychology. Academic positions of the participants ranged from PhD student to full professor.

Frequencies and percentages showed that researchers seemed to be influenced in their literature practices by various factors, such as editors suggesting articles and motivation to cite. Additionally, a high percentage of researchers reported taking shortcuts when citing articles (e.g. using secondary citations and reading selectively). Logistic regression did not reveal a clear relationship between academic work experience and research practices.

Seeing that researchers seem to be influenced by a variety of factors in their literature practices, the scientific community might benefit from better citation practices and guidelines in order to provide more structure to the process of literature practices.

This paper provides first insights into researchers’ literature practices. Possible reasons for problems with citation accuracy and replicating research findings are highlighted. Opportunities for further research on the topic of citation behaviours are presented.

Spam emails classification using data mining and machine learning approaches has enticed the researchers' attention duo to its obvious positive impact in protecting internet users. Several features can be used for creating data mining and machine learning based spam classification models. Yet, spammers know that the longer they will use the same set of features for tricking email users the more probably the anti-spam parties might develop tools for combating this kind of annoying email messages. Spammers, so, adapt by continuously reforming the group of features utilized for composing spam emails. For that reason, even though traditional classification methods possess sound classification results, they were ineffective for lifelong classification of spam emails duo to the fact that they might be prone to the so-called “Concept Drift”. In the current study, an enhanced model is proposed for ensuring lifelong spam classification model. For the evaluation purposes, the overall performance of the suggested model is contrasted against various other stream mining classification techniques. The results proved the success of the suggested model as a lifelong spam emails classification method.

Citation content in academic papers and academic monographs promotes the knowledge flow among different publications. However, existing citation content analysis (CCA) focuses on academic papers and monographs have not received much research attention. We want to know if monographs are appropriate objects of CCA and whether existing methods of analyzing citation in papers are suitable for citation in monographs. Therefore, this paper aims to learn more about features of cited references and citation content in monographs and compare the characteristic of citation pattern between monographs and papers.

The authors manually annotate the references and syntactic citation content in academic monographs published by Morgan & Claypool and automatically extracted the references and citation content from academic papers published by Public Library of Science. Five features in two types citation pattern, namely, pattern of cited reference (including year, source and mention frequency of reference) and pattern of citation content (including location, length of citation content) are used to examine similarities and differences between monographs and papers.

The results indicate that between monographs and papers, differences are shown in location, length of citation content and year, source of reference, whereas frequency of mention of reference is similar.

Previous studies have explored the patter of citation content in academic papers. However, none of the existing literature, as far as the authors know, has considered the citation content in academic monographs and the similarities or differences among academic documents when studying the citation pattern.

In recent years there has been a proliferation of computer-based psychotherapeutic interventions for common mental health difficulties. Building on this, a small number of such interventions have now been developed to address substance dependence, one of which is Breaking Free Online (BFO). A new “eTherapy” self-help service, which was set up by the UK mental health charity Self-Help Services, has provided access to BFO to service users presenting with comorbid mental health and substance misuse difficulties. The purpose of this paper is to evaluate a range of clinical outcomes in the first cohort of service users accessing this dual diagnosis service.

A number of standardised psychometric assessments were conducted with service users at baseline and post-treatment at discharge from the service. Outcome data were available for 47 service users out of an original cohort of 74.

Statistically significant improvements were found in terms of measures of social functioning, depression, anxiety, alcohol and drug use and social anxiety. Clinically relevant gains were also identified, with fewer service users reaching threshold scores for depression and anxiety at post-treatment compared to baseline. Effect sizes also indicated that the identified improvements across the psychometric measures were robust and significant.

These findings provide further support for the clinical effectiveness of BFO, and also provide evidence that an eTherapy self-help service may be appropriate for some individuals presenting with dual diagnosis. Further research is underway with larger and alternative clinical populations to examine the effectiveness of BFO and also this novel eTherapy self-help approach.

This paper has provided initial data to support effectiveness of a novel eTherapy service for dual diagnosis.

An association between problematic substance use and severe mental illness has been demonstrated in various settings, but not among community forensic psychiatric patients. This paper aims to investigate the prevalence and correlates of problematic substance use among the community patients of one regional forensic psychiatric service.

Historical data on diagnosis, offending and problematic substance use were gathered by reviewing case notes. Current substance use and psychosocial functioning were ascertained from structured interviews with community psychiatric nurses. Outcome measures included HoNOS ratings, the Global Assessment of Functioning, and the Clinical Rating Scale for substance use.

Of 92 patients, 91.2 per cent had a history of problematic substance use and 31.5 per cent of them were currently using substances problematically, most commonly cannabis and alcohol. Current problematic substance use was associated with a range of negative outcomes, in terms of illness severity, compliance with treatment, and psychosocial functioning.

The results may not be generalizable to services in different areas or those with different models of service provision. Causality should not be assumed from a cross sectional study.

Inpatient psychiatric treatment in secure services appears to be associated with a large reduction in the level of problematic substance use, but a large residual need remains among community patients. Services which provide community care for forensic patients must seek to integrate treatment for problematic substance use with treatment for mental illness.

This is the first description of the substance use related needs among community forensic psychiatric patients.

The purpose of this paper is to describe the delivery of a mainstreaming model within a public sector, mental health (National Health Service (NHS)) organisation. The model promotes the inclusivity of a spectrum of presentations from co-existing moderate anxiety and depression to severe mental disorder (psychosis) and problematic substance and alcohol use.

This paper introduces the delivery of three collective approaches, termed the “three essential elements” to support a mainstreaming treatment model, facilitated by a “Dual Diagnosis Lead”. The model encompasses; a “direct access” referral pathway, joint collaboration with practitioners and the delivery of a “Dual Diagnosis” training programme. An independent evaluation was commissioned to explore eight mental health and substance misuse practitioners’ views and experiences in relation to the impact of the mainstreaming model. This paper also considers feedback from 230 course participants attending a one day “Dual Diagnosis” training programme.

This paper suggests that practitioners may benefit from the implementation of the mainstreaming approach and the delivery of this approach could be moving “Dual Diagnosis” interventions closer to mainstream practice.

The limitations of the mainstreaming model are acknowledged in relation to the generalisation of practitioners’ views and reported experiences.

This paper offers a description of the delivery of a mainstreaming model involving the “three essential elements”. The model provides a useful insight and demonstrates the possibilities which may be achieved when attempting to implement a mainstreaming treatment approach within mainstream mental health and drug and alcohol services.