The Determinants of Fish Catch: A Quantile Regression Approach

The goal of this study is to use quantile regression (QR) to find predictors of fishers’ catch and compare it with OLS regression. The heterogeneous association across the different quantiles of the catch distribution was investigated using QR analysis. The findings reveal that the effect changes depending on where a fisher is in the catch distribution. In the OLS, there are several non-significant predictors that appear to be significant in quantile regression. By OLS regression, demographic variables have little effect on fishers’ catch; but, in quantile regression, marital status, fishing hours, and use of motorized boats appeared to have a relatively high impact at the top of the distribution.

Heterogeneous Types of miRNA-Disease Associations Stratified by Multi-Layer Network Embedding and Prediction

Abnormal miRNA functions are widely involved in many diseases recorded in the database of experimentally supported human miRNA-disease associations (HMDD). Some of the associations are complicated: There can be up to five heterogeneous association types of miRNA with the same disease, including genetics type, epigenetics type, circulating miRNAs type, miRNA tissue expression type and miRNA-target interaction type. When one type of association is known for an miRNA-disease pair, it is important to predict any other types of the association for a better understanding of the disease mechanism. It is even more important to reveal associations for currently unassociated miRNAs and diseases. Methods have been recently proposed to make predictions on the association types of miRNA-disease pairs through restricted Boltzman machines, label propagation theories and tensor completion algorithms. None of them has exploited the non-linear characteristics in the miRNA-disease association network to improve the performance. We propose to use attributed multi-layer heterogeneous network embedding to learn the latent representations of miRNAs and diseases from each association type and then to predict the existence of the association type for all the miRNA-disease pairs. The performance of our method is compared with two newest methods via 10-fold cross-validation on the database HMDD v3.2 to demonstrate the superior prediction achieved by our method under different settings. Moreover, our real predictions made beyond the HMDD database can be all validated by NCBI literatures, confirming that our method is capable of accurately predicting new associations of miRNAs with diseases and their association types as well.

Heterogenous Effect of Risk Factors on Breast Cancer across the Breast Density Categories in a Korean Screening Population

We evaluated the heterogeneity of the effect of known risk factors on breast cancer development based on breast density by using the Breast Imaging-Reporting and Data System (BI-RADS). In total, 4,898,880 women, aged 40–74 years, who participated in the national breast cancer screening program in 2009–2010 were followed up to December 2018. Increased age showed a heterogeneous association with breast cancer (1-year hazard ratio (HR) = 0.92, 1.00 (reference), 1.03, and 1.03 in women with BI-RADS density category 1, 2, 3, and 4, respectively; P-heterogeneity < 0.001). More advanced age at menopause increased breast cancer risk in all BI-RADS categories. This was more prominent in women with BI-RADS density category 1 but less prominent in women in other BI-RADS categories (P-heterogeneity = 0.009). In postmenopausal women, a family history of breast cancer, body mass index ≥ 25 kg/m2, and smoking showed a heterogeneous association with breast cancer across all BI-RADS categories. Other risk factors including age at menarche, menopause, hormone replacement therapy after menopause, oral contraceptive use, and alcohol consumption did not show a heterogeneous association with breast cancer across the BI-RADS categories. Several known risk factors of breast cancer had a heterogeneous effect on breast cancer development across breast density categories, especially in postmenopausal women.

A Statement of Editorial Policy

PMLA welcomes essays of interest to those concerned with the study of language and literature. As the publication of a large and heterogeneous association, the journal is receptive to a variety of topics, whether general or specific, and to all scholarly methods and theoretical perspectives. The ideal PMLA essay exemplifies the best of its kind, whatever the kind; addresses a significant problem; draws out clearly the implications of its findings; and engages the attention of its audience through a concise, readable presentation. Manuscripts in languages other than English are accepted for review but must be accompanied by a detailed summary in English (generally of 1,000-1,500 words) and must be translated into English if they are recommended to the Editorial Board. Articles of fewer than 2,500 words or more than 9,000 words are not considered for publication. The word count includes notes but excludes works-cited lists and translations, which should accompany foreign language quotations. The MLA urges its contributors to be sensitive to the social implications of language and to seek wording free of discriminatory overtones.Only members of the association may submit articles to PMLA. For a collaboratively written essay to be eligible for submission, all coauthors must be members of the MLA. PMLA does not publish book reviews or new works of fiction, nor does it accept articles that were previously published in any language. An article is considered previously published if it appears in print or in an online outlet with the traits of publication, such as editorial selection of content, a formal presentation, and ongoing availability. Online contexts that typically lack these traits include personal Web pages, discussion groups, and repositories. Each article submitted is sent to two reviewers, usually one consultant reader and one member of the Advisory Committee. Articles recommended by these readers are then sent to the members of the Editorial Board, who meet periodically with the editor to make final decisions. Until a final decision is reached, the author's name is not made known to consultant readers, to members of the Advisory Committee and the Editorial Board, or to the editor. Because the submission of an article simultaneously to more than one refereed journal can result in duplication of the demanding task of reviewing the manuscript, it is PMLA's policy not to review articles that are under consideration by other journals. An article found to have been simultaneously submitted elsewhere will not be published in PMLA even if it has already been accepted for publication by the Editorial Board.

On the data-driven inference of modulatory networks in climate science: an application to West African rainfall

Decades of hypothesis-driven and/or first-principles research have been applied towards the discovery and explanation of the mechanisms that drive climate phenomena, such as western African Sahel summer rainfall~variability. Although connections between various climate factors have been theorized, not all of the key relationships are fully understood. We propose a data-driven approach to identify candidate players in this climate system, which can help explain underlying mechanisms and/or even suggest new relationships, to facilitate building a more comprehensive and predictive model of the modulatory relationships influencing a climate phenomenon of interest. We applied coupled heterogeneous association rule mining (CHARM), Lasso multivariate regression, and dynamic Bayesian networks to find relationships within a complex system, and explored means with which to obtain a consensus result from the application of such varied methodologies. Using this fusion of approaches, we identified relationships among climate factors that modulate Sahel rainfall. These relationships fall into two categories: well-known associations from prior climate knowledge, such as the relationship with the El Niño–Southern Oscillation (ENSO) and putative links, such as North Atlantic Oscillation, that invite further research.