August 2024

The aim of this paper is to explore the influence of the roles played by the stakeholders on the structure of a coopetition between very small entreprises. This structure is perceived through the prism of cross-views between clients, chargers and clandos. Our approach is constructivist, adopting an exploratory qualitative methodology with primary data collected from a questionnaire, administered to 14 chargers, 321 clandos and 335 clients. We used factorial correspondence analysis to process the data. The results indicate that stakeholders playing the roles of controller and regulator favour cooperative coopetition. When they play the roles of mediator and facilitator, they favour balanced coopetition in which cooperation and competition are equal. Finally, when stakeholders play the roles of communicator and coordinator, they favour competitive coopetition. The theoretical implication of this research complements the theory of coopetition by showing that stakeholders in a coopetitive environment influence the structure of coopetition. As a managerial contribution, we suggest that organizational managers take into account the influence of stakeholders in a coopetitive ecosystem in order to implement a dynamic strategy based on the actors involved. One prospect is to test our results using a quantitative approach and hypothetico-deductive reasoning with an analytical framework based on the theory of dynamic capabilities.

India boasts a number of species of edible leafy vegetables, some of which have no English names and are only recognised by their native names. India is blessed with a range of natural environments, diverse climates and varying seasons. These leafy veggies are consumable and are also known as unconventional greens or underutilised leafy vegetables. These neglected greens are affordable, simple to prepare and packed with vitamins, minerals, protein, and other nutrients. The presence of poisonous and anti-nutritional principles is the fundamental issue with nutritional exploitation of underused greens. Phytates, nitrate, oxalate, and saponin are frequently found in high concentrations in leafy greens. The present study was undertaken to separate, identify and quantify each nutritional components by using standardized analytical methods, which also includes usage of HPLC-LCMS technique, used to separate, identify and quantify each component and Gas Chromatography-Mass Spectrometry (GC-MS) technique. The investigation was carried out for biochemical profiling of underutilized leafy vegetables viz., Centella asiatica L., Alternanther asessilis L., Amaranthus cruentus L., Celosia argentea L., Commelina communis L., Oxalis carniculata L., Hibiscus cannabinus L. Water soluble vitamin profiling in selected underutilized leafy vegetables revealed highest contents of Pantothenic acid, Thiamine, Niacin, Pyridoxin, Riboflavin, Folic acid, Bioti, Cyanocobalamine respectively. Analogously, individual fat-soluble vitamin profiling in underutilized leafy vegetables revealed highest contents of Vitamin K2, Vitamin D1, Vitamin D2, Tocopherol, Vitamin K1 respectively. In view of the results obtained, it can be concluded that the selected underutilized leafy vegetables showed good biochemical constituents.

Aim: Known for its high recurrence rates and potential to metastasize and recur after liver transplantation or hepatectomy, HCC requires effective management, comprehensive surveillance and specialized therapies. Bioinformatics and machine learning play a key role in analyzing large datasets to reveal genetic and molecular insights into HCC metastasis and help identify potential biomarkers and therapeutic targets. This study aims to identify biomarkers associated with HCC recurrence by analyzing gene expression in primary and recurrent tumor tissues. Material and methods: The dataset included in the study comprises gene expression data from both recurrent and primary HCC tissue. The gene expression analysis of this data set was conducted using the capabilities provided by the limma package. The distribution of each tissue in the dataset is shown by the distribution graph and the expression density graph. The UMAP graph represents the association of tissue types. The genes exhibiting different regulation are represented in the volcano plot. Results: The UMAP analysis revealed a perfect separation of the tissues in the dataset into two distinct groups: recurrent tumor tissues and primer tissues. The analysis showed that many genes differed in both groups under log2FC>1 p<0.05 and log2FC<-1 and p<0.05 conditions. The resultsshow that there are genes that are upregulated in recurrent tissues compared to primary tissues and no downregulated genes. Conclusion: Genetic research is crucial for advancing the treatment of recurrent hepatocellular carcinoma (HCC). Identified genes may serve as biomarkers, aiding in the development of targeted drug therapies and improving patient care and healthcare efficiency. As genetic research progresses, the use of these biomarkers is expected to enhance personalized medicine. Understanding the genetic basis of recurrent HCC is essential for prevention and treatment, leading to more effective strategies and early detection for high-risk individuals. Future advancements in genetic research are anticipated to yield innovative methods for preventing and treating recurrent HCC.