The two-phase flow in micro/mini channels is of fundamental importance for many interesting applications, such as cooling of micro-electronic components and devices by a compact heat exchanger, material processing and thin-film deposition technology, bioengineering, and biotechnology. This article discusses significant developments made in the past ten years by researchers in the fields of pool boiling and convective boiling, using water, nanofluids, and refrigerants as the working fluids. The literature's data is examined in terms of improvements and declines in the critical heat flow and nucleate boiling heat transfer.Conflicting data have been presented in the literature on the effect that nanofluids/refrigerants have on the boiling heat-transfer coefficient; however, almost all the researchers have noted an enhancement in the critical heat flux during nanofluid/refrigerant boiling. Several researchers have observed nanoparticle deposition at the heater surface, which they have related to the critical heat flux enhancement.

In higher eukaryotes, the genes’ architecture has become an essential determinant of the variation in the number of transcripts (expression level) and the specificity of gene expression in plant tissue under stress conditions. The modern rise in genome-wide analysis accounts for summarizing the essential factors through the translocation of gene networks in a regulatory manner. Stress tolerance genes are in two groups: structural genes, which code for proteins and enzymes that directly protect cells from stress (such as genes for transporters, osmo-protectants, detoxifying enzymes, etc.), and the genes expressed in regulation and signal transduction (such as transcriptional factors (TFs) and protein kinases). The genetic regulation and protein activity arising from plants’ interaction with minerals and abiotic and biotic stresses utilize high-efficiency molecular profiling. Collecting gene expression data concerning gene regulation in plants towards focus predicts an acceptable model for efficient genomic tools. Thus, this review brings insights into modifying the expression study, providing a valuable source for assisting the involvement of genes in plant growth and metabolism-generating gene databases. The manuscript significantly contributes to understanding gene expression and regulation in plants, particularly under stress conditions. Its insights into stress tolerance mechanisms have substantial implications for crop improvement, making it highly relevant and valuable to the field.

Cellulose nanocrystal, known as CNCs, is a form of material that can be produced by synthesizing carbon from naturally occurring substances, such as plants. Due to the unique properties it possesses, including a large surface area, impressive mechanical strength, and the ability to biodegrade, it draws significant attention from researchers nowadays. Several methods are available to prepare CNC, such as acid hydrolysis, enzymatic hydrolysis, and mechanical procedures. The characteristics of CNC include X-ray diffraction, transmission electron microscopy, dynamic light scattering, etc. In this article, the recent development of CNC preparation and its characterizations are thoroughly discussed. Significant breakthroughs are listed accordingly. Furthermore, a variety of CNC applications, such as paper and packaging, biological applications, energy storage, etc., are illustrated. This study demonstrates the insights gained from using CNC as a potential environmentally friendly material with remarkable properties.

Purpose: The purpose of this paper is to review literature in the area of perceived organizational politics (POPs) and to present a model that explains the positive role of the phenomenon in the workplace. This involves understanding how POPs have evolved from playing a much-publicized destructive role to an emerging constructive one. Design/methodology/approach: An integrative review method was used to review articles on POPs published over the last 13 years (2010–2022). The primary sources of information were several databases, such as ISI Web of Science, Google Scholar, and Scopus. Specific search terms were considered to find relevant articles, leading to 7803 articles (3894 hits on Scopus, 1723 hits on Google Scholar, and 2186 hits on Web of Science). These studies were further examined for their relevance to this study, and 103 articles were identified. The application of exclusion criteria funneled them to 66 studies. The articles, employing quantitative, mixed, and qualitative approaches were coded. The themes were subsequently determined. Findings: The review notes that the POPs literature emphasis is shifting from a negative and dysfunctional approach to one where positive organizational outcomes are possible. The review concludes that POPs have functional consequences too. The phenomenon could illuminate favorable workplace outcomes if viewed as an enhancer rather than a hindrance. POPs should be viewed as a phenomenon that for all purposes is essentially neutral. It is individuals who label the otherwise neutral construct as negative (negative POPs) or positive (positive POPs). Practical implications: The paper reveals how antecedents help organizational members label politics as positive. Perceived organizational politics is largely a neutral construct until the perceiver decides to label it otherwise. A positive perception of politics is significant in predicting important employee outcomes such as motivation, employee satisfaction, and job performance. Management needs to invest in antecedents and moderators to help employees label the construct as positive rather than negative. Originality/value: The study is an original review of the positive POPs literature to identify the significant antecedents, moderators, and work outcomes, vital to organizational success.

In this paper advanced Sentiment Analysis techniques were applied to evaluate public opinions reported by rail users with respect to four major European railway companies, i.e., Trenitalia and Italo in Italy, SNCF in France and Renfe in Spain. Two powerful language models were used, RoBERTa and BERT, to analyze big amount of text data collected from a social platform dedicated to customers reviews, i.e., TrustPilot. Data concerning the four European railway companies were first collected and classified into subcategories related to different aspects of the railway sector, such as train punctuality, quality of on-board services, safety, etc. Then, the RoBERTa and BERT models were developed to understand context and nuances of natural language. This study provides a useful support for railways companies to promote strategies for improving their service.