Lifestyle Interventions through Participatory Research: A Mixed-Methods Systematic Review of Alcohol and Other Breast Cancer Behavioural Risk Factors

Breast cancer is one of the most frequently diagnosed cancers in women globally. Sex and advancing age represent the dominant risk factors, with strong evidence of alcohol as a modifiable risk factor. The carcinogenic nature of alcohol has been known for over twenty years; however, this has failed to translate into significant behavioural, practice, or policy change. As a result, women have not benefitted from this research and, by extension, have been exposed to unnecessary breast cancer risk. Participatory research presents a solution to research translation in public health through the collaboration of impacted populations with academics in research. This systematic review examines peer-reviewed research studies where participants were involved in the research process and the outcomes related to breast cancer prevention (either alcohol or broader lifestyle modification). Seven of the eight studies reported positive effects, and the collaboration between academic researchers and impacted populations may have supported positive outcomes. Women were receptive and responsive to participatory approaches, and their participation is important to address socially entrenched behaviours such as alcohol consumption. Participatory research presents opportunities for future interventions to improve (or address) modifiable risk factors for breast cancer.

The Inequality Mirror: Using a Student Survey to Teach Social Stratification

Social inequality is a central theme in sociology study plans (both in research and education), but it is often one of the most difficult topics to teach. This article presents an innovative student-centered strategy for teaching social inequality that uses a survey to collect data on students’ socioeconomic characteristics and perceptions of inequality. To stimulate reflection and discussion on the social mechanisms that reproduce inequality, this information is subsequently presented to them in conjunction with a comparative analysis to general population data. The exercise seeks to make social inequality less abstract for students by involving them in the research process and by using data relative to their own lives and families. Ultimately, the strategy boosts students’ sociological imagination and their capacity for critical thinking by encouraging them to see the connections between individual biographies and broader social forces.

Modelling the abstract knots in supply chains using interpretive structural modelling (ISM) approaches: a review-based comprehensive toolkit

PurposeThis study endeavours to (a) develop a comprehensive interpretive structural modelling (ISM) toolkit containing sufficient details about the suitability and procedural aspects of each ISM approach and offer points of reference for budding researchers, (b) highlight the compatibility of ISM approaches with other qualitative and quantitative approaches, and (c) chalk-out an agenda for future research.Design/methodology/approachThis study is based on an extensive review of 74 studies where researchers have used one or more ISM approaches. These studies span across the different industry sectors.FindingsThere exists a huge void in terms of the methodological synthesis of ISM approaches. ISM approaches are frequently used in sync with other qualitative and quantitative approaches. Furthermore, it highlights the need of improving the robustness of the proposed ISM models by sharing the critical details of research process.Research limitations/implicationsBeing a review-based work, it could not illustrate the discussed ISM approaches with real data. However, it offers a research agenda for the prospective researchers.Practical implicationsThe prerequisites, pitfalls, suitability and the procedural aspects of various ISM approaches contained in this toolkit are equally useful for the academicians as well as practitioners.Originality/valueIn the absence of a synthesized framework, this study contributes a comprehensive ISM toolkit which will help the researchers to choose a suitable ISM approach in a given case.

The Computational Thematic Analysis Toolkit

As online communities have grown, Computational Social Science has rapidly developed new techniques to study them. However, these techniques require researchers to become experts in a wide variety of tools in addition to qualitative and computational research methods. Studying online communities also requires researchers to constantly navigate highly contextual ethical and transparency considerations when engaging with data, such as respecting their members' privacy when discussing sensitive or stigmatized topics. To overcome these challenges, we developed the Computational Thematic Analysis Toolkit, a modular software package that supports analysis of online communities by combining aspects of reflexive thematic analysis with computational techniques. Our toolkit demonstrates how common analysis tasks like data collection, cleaning and filtering, modelling and sampling, and coding can be implemented within a single visual interface, and how that interface can encourage researchers to manage ethical and transparency considerations throughout their research process.

Tackling the Behavior of Cancer Cells: Molecular Bases for Repurposing Antipsychotic Drugs in the Treatment of Glioblastoma

Glioblastoma (GBM) is associated with a very dismal prognosis, and current therapeutic options still retain an overall unsatisfactorily efficacy in clinical practice. Therefore, novel therapeutic approaches and effective medications are highly needed. Since the development of new drugs is an extremely long, complex and expensive process, researchers and clinicians are increasingly considering drug repositioning/repurposing as a valid alternative to the standard research process. Drug repurposing is also under active investigation in GBM therapy, since a wide range of noncancer and cancer therapeutics have been proposed or investigated in clinical trials. Among these, a remarkable role is played by the antipsychotic drugs, thanks to some still partially unexplored, interesting features of these agents. Indeed, antipsychotic drugs have been described to interfere at variable incisiveness with most hallmarks of cancer. In this review, we analyze the effects of antipsychotics in oncology and how these drugs can interfere with the hallmarks of cancer in GBM. Overall, according to available evidence, mostly at the preclinical level, it is possible to speculate that repurposing of antipsychotics in GBM therapy might contribute to providing potentially effective and inexpensive therapies for patients with this disease.

Bias in Forensic Examination

The article discusses various aspects of the influence of bias on the formation of conclusions of a forensic expert. The author highlights that the negative effect of bias is especially significant in identification examinations, where the conclusions are based on subjective interpretations of the results of marks comparison (toolmark, fingerprint, firearms examinations, and others). The author also notes that there is no clear border between objectivity and subjectivity in forensic examinations. All types of forensic examinations exist in an objective-subjective continuum, which causes different conclusions’ reliability. Since subjectivity is the basis for bias formation, minimizing its impact can be achieved in several ways – increasing the “transparency” of documenting the research process, technical analysis and verification of an expert’s opinion, applying quantitative criteria for evaluating the matching features in the compared marks. The most logical way to reduce the influence of bias is to eliminate the causes that give rise to this phenomenon. These are the excessive contextual information provided to the expert, the expert’s deviation from the requirements of methodological recommendations in examining the objects, and various external and internal influences.

An Autoethnographic Report on the Use and Impact of Social Networking Sites as an Approach to Teaching of the Research Process

The establishment of the K-12 curriculum has had a significant impact on subject requirements related to the outcome-based education plan and the requisite output for a given research report or requirement. Social networking platforms enable students to effortlessly complete a variety of tasks, such as learning and performance. By intervening in research, social networking sites break down the barriers that limit both students and teachers in the research process. Three methodologies or ideas have arisen, known as approaches, that could help you facilitate teaching research, even if you are not in the research discipline: the Facebook-Personality Network Approach, the Virtual Research Journal, and the Google Immersion Approach. It is considered favorably by some students and users, but there are those who take advantage of its negative aspects. Instead of focusing on the emerging ideas or topics created by coding, I used social networking sites to demonstrate that research can be done anytime, anyplace, for any purpose or cause. According to the outcome-based education paradigm, students found the three techniques highly engaging. In order to be a teacher-researcher, you must utilize your originality and resourcefulness when it comes to all of the resources, devices, and technology, as well as the available social networking sites.

The Interactionist Self and Grounded Research: Reflexivity in a Study of Emergency Department Clinicians

This paper shows how the theory of symbolic interactionism shaped a grounded investigation of the organizational labor of Australian Emergency Department (ED) clinicians. Further, it shows how symbolic interactionism supports reflexive criteria for validating grounded research. Using ethnographic methods across two metropolitan EDs, interactionism’s emphasis on roles applied equally to the relationship between researcher and participants as to the relationships among participants. Specifically, the researcher generated data by positioning interactionism as the mediator of the emergent relationship between researcher and participants. The results of this positioning were: a traceable path from understanding to interpretation and the search for consequentiality rather than truth. Interactionism facilitated the co-production by the researcher and participants of limits on the generalizability of the data. The paper is an argument for symbolic interactionism as a means not merely to generate sociological findings, but to conceptualize the impact of the researcher on the grounded research process.

Applying Knowledge Graph to Analyze the Historical Landscape Based on CiteSpace

The theory of “urban historical landscape” is gradually emerging in cultural heritage protection and urban planning in recent years. It was first proposed and promoted by UNESCO. In this study, the identification and evaluation are taken as the prerequisite for the protection and management of historical landscape. This paper uses CiteSpace to analyze the map of knowledge data to collect and sort out the global research status of urban historical landscape. In addition, the clustering function of knowledge graph software VOSviewer is used to analyze the knowledge clustering in the research field of urban historical landscape, and the research process and interdisciplinary development of urban historical landscape are obtained, to make some guiding suggestions for the future study of urban historical landscape. The results show that the study of urban historical landscape has experienced three stages. The early stage is the introduction and tracing stage, the middle stage is the diversification and enrichment stage, and the recent stage is the practice and construction stage. At present, it has become a multidisciplinary and multiperspective international research. The in-depth study of urban historical landscape undoubtedly opens a door for the traditional thought of urban heritage protection. At the same time, it gradually turned to more active management of urban historical landscape and also promoted the intersection of city, architecture, landscape architecture, anthropology, sociology, economics, and other disciplines from the side, with far-reaching influence. Reviewing and looking forward to studying urban historical landscape is more conducive to sustainable construction of the future. CiteSpace, as an excellent bibliometrics software, can help researchers sort out and display past research tracks in a novel visual way, to conduct future research better.