A Roadmap of Emerging Trends Discovery in Hydrology: A Topic Modeling Approach

In the new global era, determining trends can play an important role in guiding researchers, scientists, and agencies. The main faced challenge is to track the emerging topics among the stacked publications. Therefore, any study done to propose the trend topics in a field to foresee upcoming subjects is crucial. In the current study, the trend topics in the field of "Hydrology" have been attempted to evaluate. To do so, the model is composed of three key components: a gathering of data, preprocessing of the article's significant features, and determining trend topics. Various topic models including Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and Latent Semantic Analysis (LSA) have been implemented. Comparing the obtained results with respect to the $C_V$ coherence score, in 2022, the topics of "Climate change", "River basin", "Water management", "Natural hazards/erosion", and "Hydrologic cycle" have been obtained. According to a further analysis, it is shown that these topics keep their impact on the field in 2023, as well.Comment: 16 pages, 4 figures, 3 Tables. This work was supported by the Center of Scientific Research Projects of the Izmir Katip Celebi University [Grant Number: 2022-GAP-MUMF-0029

A generalized class of correlated run shock models

In this paper, a generalized class of run shock models associated with a bivariate sequence {(Xi, Yi)}i≥1 of correlated random variables is defined and studied. For a system that is subject to shocks of random magnitudes X1, X2, ... over time, let the random variables Y1, Y2, ... denote times between arrivals of successive shocks. The lifetime of the system under this class is defined through a compound random variable T = ∑Nt=1 Yt , where N is a stopping time for the sequence {Xi}i≤1 and represents the number of shocks that causes failure of the system. Another random variable of interest is the maximum shock size up to N, i.e. M = max {Xi, 1≤i≤ N}. Distributions of T and M are investigated when N has a phase-type distribution

Optimal Parameter Selection of Latent Dirichlet Allocation to Determine the Emerging Topics in Hydrology Domain

In the new digital age, the determination of emerging topics has become a central issue for academia. Latent Dirichlet Allocation (LDA) method, a key mechanism for determining trends, has long been a method of great interest in a wide range of fields. However, the probabilistic structure leads to a serious effect on the score not only by changing the parameters but also from trial to trial for the fixed parameters. This study describes the implementation of the LDA method for exploring trend topics in the hydrology domain. Several parameters like the portion of the corpus, the number of topics as well as hyperparameters of the LDA method, α and β, have been considered. The emerging topics of the field have been obtained using the parameters which attained the highest mean coherence score

Soluble and Insoluble Dietary Fiber Consumption and Colorectal Cancer Risk: A Systematic Review and Meta-Analysis

Colorectal cancer (CRC) is the third most common cancer worldwide with a high mortality rate. Dietary fibers, both soluble and insoluble, are essential for reducing the risk of CRC. In this study, a meta-analysis was performed to examine the relationship between the soluble and insoluble dietary fiber consumption and CRC risk. The highest vs. lowest fiber concentrations were compared by using PRISMA guidelines. To determine publishing bias, the Egger test; assess study heterogeneity I-2 statistics were used. Studies that reported adjusted relative risk estimates with 95% confidence intervals (Cl) for the associations of interest were included. The results reveal that the relationship between soluble and insoluble fiber intake and the risk of CRC is almost equal [The total fiber ES = 0.75 (95% CI = 0.66-0.86), soluble fiber ES = 0.78 (95% CI = 0.66-0.92), insoluble fiber ES = 0.77 (95% CI = 0.67-0.88)]. Funnel plot and Egger's linear regression tests demonstrated that there was no publication bias. Both soluble and insoluble fiber consumption appear to be protective against CRC, with a clinically significant reduction in CRC risk. It is critical to identify preventive steps to avoid the CRC development, especially by leading a healthier lifestyle that includes healthy diet