Basics of Communication Research

This book is organizedinto three main parts. Part 1 examines introductory issues of interest to both quantitavely oriented and qualitatively oriented producers/consumers. Chapter 1 introduces readers to the domain of communication, discussing the kinds of issues addressed by communication researchers and how students can access published communication research. Chapter 2 offers an overview of the research process, providing a step by step discussion of the major kinds of decisions that face researchers as they plan a study. Chapter 3 discusses four of the major sets af assumptions in which communication research is grounded: the positivist paradigm, the system paradigm, the interpretive paradigm, and critical paradigm. Chapter 4 emphasizes the role of logic and reasoning in the research process. Chapter 5 presents an in depth discussion of the ethics that guide communication research. Part 2 of the book is devoted to issues and methods of particular relevance to producers/consumers of quantitatively oriented communication research. Chapter 6 continues the Babbie tradition of a lucid discussion of conceptualization and operationalization. Chapter 7 is devoted largely to probability based sampling methods, although nonprobability sampling methods are previewd for a return performance in part 3 of the book. Chapter 8 is devoted to standardized questionnaires and interviews. Chapter 9 discusses pre experiments, quasi experiments, and classic experiments. Chapter 10 provides detailed treatment of the two text analysis methods most commonly found in communication research. Chapters 11 and 12 fuction as an introductory “primer” of sorts to descriptive and inferential statistics. Part 3 shifts our attention issues and methods relevant to producers/consumers of qualitative communication research. Participant observation takes many forms, and these are presented and illustrated in chapter 13. Chapter 14 presents unstructured and semi structured interviewing. Chapter 15 examines how qualitative researchers study naturally occurring communication messages and symbols what we call social texts. Chapter 16 can be thought of as the qualitative counterpart of chapter 11 and 12

“You’re My Parent but You’re Not”: Dialectical Tensions in Stepchildren’s Perceptions about Communicating with the Nonresidential Parent

The nonresidential parent plays a role in the lives of stepchildren and in stepfamily households. The focus of the present study was on the interaction between the nonresidential parent and his/her child who resides as part of a stepfamily household. Grounded in relational dialectics theory, the researchers performed an interpretive analysis of 50 transcribed interviews with college-aged stepchildren. Stepchildren’s perceptions of communication with the nonresidential parent were animated by two contradictions: parenting/nonparenting and openness/closedness. These two contradictions form a totality, interwoven with one another. The parenting/nonparenting contradiction reflected stepchildren’s ambivalence over parenting attempts of nonresidential parents. Stepchildren wanted nonresidential parent involvement and parenting, and at the same time they resisted it, often finding communication to be awkward and challenging. In addition, stepchildren wanted open and intimate communication with their nonresidential parents, yet they found openness to be problematic and managed these contradictory demands via segmentation. Implications of these findings are discussed, along with insights to guide professionals working with stepfamilies and adults co-parenting children to better understand and interact in ways that promote healthy stepfamilies

Types of Communication Triads Perceived by Young-Adult Stepchildren in Established Stepfamilies

This study was an analysis of the kinds of residential parent-stepparent-stepchild triadic communication structures expressed in interviews with 50 college-aged children from established stepfamilies. In an interpretive analysis of the interview transcripts, four communication structures were identified. In the linked triad the stepchild relied on indirect communication with the stepparent through his or her residential parent. The outsider triad was characterized by the stepchild communicating primarily with the residential parent with limited awareness of interdependence with the stepparent. In the adult-coalition triad the stepchild perceived that the residential parent and stepparent had formed a coalition, leading to cautious and distrustful communication with both adults. The complete triad featured the stepchild experiencing a “real family” with open communication with both the residential parent and the stepparent. Contributions of studying stepfamilies from the perspective of triadic communication structures versus stepfamily dyads are discussed

Turning Points in the Development of Blended Families

A modified retrospective interview technique (RIT) was employed with members of 53 blended families to determine the types of turning points they reported experiencing and the developmental trajectories of their respective blended family’s first 4 years. Findings revealed 15 primary types of turning points, of which “Changes in Household Configuration,” “Conflict,” “Holidays/Special Events,” “Quality Time,” and “Family Crisis” were the most frequent. A cluster analysis revealed five basic trajectories of development for the first 48 months of family development: Accelerated, Prolonged, Stagnating, Declining, and High-Amplitude Turbulent. The trajectories differed in the overall positive-to-negative valence ratio, the frequency of conflict related events, the average amplitude of change in feeling like a family, and the current reported level of feeling like a family

Integration of Machine Learning and Mechanistic Models Accurately Predicts Variation in Cell Density of Glioblastoma Using Multiparametric MRI

Glioblastoma (GBM) is a heterogeneous and lethal brain cancer. These tumors are followed using magnetic resonance imaging (MRI), which is unable to precisely identify tumor cell invasion, impairing effective surgery and radiation planning. We present a novel hybrid model, based on multiparametric intensities, which combines machine learning (ML) with a mechanistic model of tumor growth to provide spatially resolved tumor cell density predictions. The ML component is an imaging data-driven graph-based semi-supervised learning model and we use the Proliferation-Invasion (PI) mechanistic tumor growth model. We thus refer to the hybrid model as the ML-PI model. The hybrid model was trained using 82 image-localized biopsies from 18 primary GBM patients with pre-operative MRI using a leave-one-patient-out cross validation framework. A Relief algorithm was developed to quantify relative contributions from the data sources. The ML-PI model statistically significantly outperformed (p \u3c 0.001) both individual models, ML and PI, achieving a mean absolute predicted error (MAPE) of 0.106 ± 0.125 versus 0.199 ± 0.186 (ML) and 0.227 ± 0.215 (PI), respectively. Associated Pearson correlation coefficients for ML-PI, ML, and PI were 0.838, 0.518, and 0.437, respectively. The Relief algorithm showed the PI model had the greatest contribution to the result, emphasizing the importance of the hybrid model in achieving the high accuracy

Self-authorship and creative industries workers’ career decision-making

Career decision-making is arguably at its most complex within professions where work is precarious and career calling is strong. This article reports from a study that examined the career decision-making of creative industries workers, for whom career decisions can impact psychological well-being and identity just as much as they impact individuals’ work and career. The respondents were 693 creative industries workers who used a largely open-ended survey to create in-depth reflections on formative moments and career decision-making. Analysis involved the theoretical model of self-authorship, which provides a way of understanding how people employ their sense of self to make meaning of their experiences. The self-authorship process emerged as a complex, non-linear and consistent feature of career decision-making. Theoretical contributions include a non-linear view of self-authorship that exposes the authorship of visible and covert multiple selves prompted by both proactive and reactive identity work

The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer

Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM−/− patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors

Navigating to new frontiers in behavioral neuroscience: traditional neuropsychological tests predict human performance on a rodent-inspired radial-arm maze

We constructed an 11-arm, walk-through, human radial-arm maze (HRAM) as a translational instrument to compare existing methodology in the areas of rodent and human learning and memory research. The HRAM, utilized here, serves as an intermediary test between the classic rat radial-arm maze (RAM) and standard human neuropsychological and cognitive tests. We show that the HRAM is a useful instrument to examine working memory ability, explore the relationships between rodent and human memory and cognition models, and evaluate factors that contribute to human navigational ability. One-hundred-and-fifty-seven participants were tested on the HRAM, and scores were compared to performance on a standard cognitive battery focused on episodic memory, working memory capacity, and visuospatial ability. We found that errors on the HRAM increased as working memory demand became elevated, similar to the pattern typically seen in rodents, and that for this task, performance appears similar to Miller's classic description of a processing-inclusive human working memory capacity of 7 ± 2 items. Regression analysis revealed that measures of working memory capacity and visuospatial ability accounted for a large proportion of variance in HRAM scores, while measures of episodic memory and general intelligence did not serve as significant predictors of HRAM performance. We present the HRAM as a novel instrument for measuring navigational behavior in humans, as is traditionally done in basic science studies evaluating rodent learning and memory, thus providing a useful tool to help connect and translate between human and rodent models of cognitive functioning

The extramural metastasis might be categorized in lymph node staging for colorectal cancer

<p>Abstract</p> <p>Background</p> <p>The objective of this study is to assess the clinical significance and prognostic impact of extramural metastasis in colorectal carcinoma and establish an optimal categorization in the staging system.</p> <p>Methods</p> <p>To determine the frequency and prognostic significance of extramural metastasis, from 2000 to 2005, a total of 1,215 patients with colorectal cancer who underwent surgical resection were recruited into this study. Individual demographic and clinicopathologic data were collected including tumor stage, nodal stage, tumor histology, degree of tumor differentiation, and presence of lymphovascular invasion. After surgery, all patients received standard treatments and follow-up, which were closed in April 2010.</p> <p>Results</p> <p>EM was detected in 167 (13.7%) patients and in 230 (1.8%) of the 12,534 nodules retrieved as 'lymph nodes'. The incidence of extramural metastasis was significantly higher in patients with large tumors, deeper invasive depth and more lymph node metastasis (P < 0.001). After curative operation, overall survival was significantly worse for patients with extramural metastasis than those without (P < 0.001). Multivariate analysis identified extramural metastasis as an independent prognostic factor (RR = 2.1, 95%CI:1.5-3.0). By using the Akaike information criterion (AIC), N staging was capable of predicting survival outcome with the highest accuracy when both nodal involvement and extramural metastasis were treated together as N factors(AIC = 1025.3).</p> <p>Conclusion</p> <p>Extramural metastasis might be diagnosed as replaced lymph nodes in the process of classification, thus forming a new categorization.</p

Effects of Anti-VEGF on Predicted Antibody Biodistribution: Roles of Vascular Volume, Interstitial Volume, and Blood Flow

BACKGROUND: The identification of clinically meaningful and predictive models of disposition kinetics for cancer therapeutics is an ongoing pursuit in drug development. In particular, the growing interest in preclinical evaluation of anti-angiogenic agents alone or in combination with other drugs requires a complete understanding of the associated physiological consequences. METHODOLOGY/PRINCIPAL FINDINGS: Technescan™ PYP™, a clinically utilized radiopharmaceutical, was used to measure tissue vascular volumes in beige nude mice that were naïve or administered a single intravenous bolus dose of a murine anti-vascular endothelial growth factor (anti-VEGF) antibody (10 mg/kg) 24 h prior to assay. Anti-VEGF had no significant effect (p>0.05) on the fractional vascular volumes of any tissues studied; these findings were further supported by single photon emission computed tomographic imaging. In addition, apart from a borderline significant increase (p = 0.048) in mean hepatic blood flow, no significant anti-VEGF-induced differences were observed (p>0.05) in two additional physiological parameters, interstitial fluid volume and the organ blood flow rate, measured using indium-111-pentetate and rubidium-86 chloride, respectively. Areas under the concentration-time curves generated by a physiologically-based pharmacokinetic model changed substantially (>25%) in several tissues when model parameters describing compartmental volumes and blood flow rates were switched from literature to our experimentally derived values. However, negligible changes in predicted tissue exposure were observed when comparing simulations based on parameters measured in naïve versus anti-VEGF-administered mice. CONCLUSIONS/SIGNIFICANCE: These observations may foster an enhanced understanding of anti-VEGF effects in murine tissues and, in particular, may be useful in modeling antibody uptake alone or in combination with anti-VEGF