Taking advantage of institutional weakness? Political stability and foreign subsidiary survival in primary industries

Purpose This paper aims to investigate the extent to which locating primary industry subsidiaries in politically unstable countries impacts their survival. The authors argue that foreign multinational enterprises in less stable political environments can shape policies that are impactful on the costs of operating in primary industries and avoid compliance with more stringent policies at home. Design/methodology/approach Using a sample of 753 primary sector investments of Japanese multinational enterprises during the period 1986 to 2013, the authors conduct a parametric survival analysis of the relationship between political stability and subsidiary survival. Findings Political instability has a slight, curvilinear relationship with subsidiary survival, such that both high and low stability are associated with lower exit hazard, while moderate levels of stability increased exit hazard. This nonlinear relationship is stronger for efficiency-seeking subsidiaries, and weaker for market-seeking subsidiaries. Originality/value This research contributes to the debate around the pros and cons of globalization by examining the extent to which firms benefit by offshoring primary sector investments to avoid more costly legal requirements at home. The results suggest that this non-market strategy should be mitigated through appropriate policy measures and provides evidence that those policies already implemented are effective

Virtual dual inhibition of COX-2 / 5-LOX enzymes based on binding properties of alpha-amyrins, the anti-inflammatory compound as a promising anti-cancer drug

Hydro-alcoholic fruit extract of Cordia myxa was considerably effective on curing acute inflammation in mouse model. Previous studies suggested significant anti-inflammatory activities as well as potential anticancer agent of α-amyrins in seeds. Inhibition of Cyclooxygenase-2 (COX-2) and 5-Lipooxygenase (5-LOX) is significant in cancer prevention and therapeutics although this inhibition with chemo-drugs has its own side-effects. It is shown that these enzymes pathways are related to several cancers including colon, breast and lung cancer. This study was conducted based on Cordia species’ α-amyrins as a safer natural anti-cancer compound for inhibition of COX-2 and 5-LOX enzymes by molecular docking. The X-ray crystal structure of COX2 / 5-LOX enzymes and α-amyrins was retrieved and energetically minimized respectively. The binding site and surface of enzymes were detected. Docking studies were performed by AutoDock 4.2 using Lamarckian genetic algorithm (LGA). Finally drug likeness, molecular pharmacokinetic properties and toxicity of α-amyrins was calculated. Molecular Docking revealed hydrogen and hydrophobic interactions between α-amyrins with both active sites of COX-2 and 5-LOX enzymes. Interestingly, it covalently bonded to Fe cofactor of 5-LOX enzyme and chelated this molecule. Base on binding energies (ΔG) α-amyrin has more inhibitory effects on 5-LOX (-10.45 Kcal/mol) than COX-2 (-8.02 Kcal/mol). Analysis of molecular pharmacokinetic parameters suggested that α-amyrins complied with most sets of Lipinski's rules, and so it could be a suitable ligand for docking studies. Eventually, bioactivity score showed α-amyrins possess considerable biological activities as nuclear receptor, enzyme inhibitor, GPCR and protease inhibitor ligand. These results clearly demonstrate that α-amyrins could act as potential highly selective COX-/5-LOX inhibitor. Also, it is a safe compound in comparison with classical non-steroidal antiinflammatory drugs (NSAIDs) that are known as cancer preventive agents, since it is free of side effects on human body and it can be a promising drug for cancer therapeutics

Political stability and foreign subsidiary survival in the primary industries sector

This thesis investigated the impact of political stability on the survival of foreign direct investments in the primary industries sectors. It is based on the argument that less stable political environments can potentially allow foreign business investors to have more influence in shaping policy in favor of their strategic interests in the primary sector. Using a sample of 753 primary sector investments by Japanese multinational enterprises in existence from 1986 to 2013, I conducted a survival analysis to test my hypothesis as well as the moderating effect of a firm’s motives. This research contributes to the literature on political risk for foreign direct investment by building on the observation that, for primary industry investment, political stability has a non-monotonic effect on location attractiveness, which varies according to the specific motives of the foreign investor. Furthermore, the performance implications of political stability are important for multinational enterprise investors and policy makers alike

Artificial Intelligence in Cancer Care: From Diagnosis to Prevention and Beyond

<p>Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care, encompassing various aspects from diagnosis to prevention and beyond. With its ability to analyze vast amounts of data, recognize patterns, and make accurate predictions, AI has emerged as a powerful tool in the fight against cancer. This article explores the applications of AI in cancer care, highlighting its role in diagnosis, treatment decision-making, prevention, and ongoing management. In the realm of cancer diagnosis, AI has demonstrated remarkable potential. By processing patient data, including medical imaging, pathology reports, and genetic profiles, AI algorithms can assist in early detection and accurate diagnosis. Image recognition algorithms can analyze radiological images, such as mammograms or CT scans, to detect subtle abnormalities and assist radiologists in identifying potential tumors. AI can also aid pathologists in analyzing tissue samples, leading to more precise and efficient cancer diagnoses. AI's impact extends beyond diagnosis into treatment decision-making. The integration of AI algorithms with clinical data allows for personalized treatment approaches. By analyzing patient characteristics, disease stage, genetic markers, and treatment outcomes, AI can provide valuable insights to oncologists, aiding in treatment planning and predicting response to specific therapies. This can lead to more targeted and effective treatment strategies, improving patient outcomes and reducing unnecessary treatments and side effects. Furthermore, AI plays a crucial role in cancer prevention. By analyzing genetic and environmental risk factors, AI algorithms can identify individuals at higher risk of developing certain cancers. This enables targeted screening programs and early interventions, allowing for timely detection and prevention of cancer. Additionally, AI can analyze population-level data to identify trends and patterns, contributing to the development of public health strategies for cancer prevention and control. AI's involvement in cancer care goes beyond diagnosis and treatment, encompassing ongoing management and survivorship. AI-powered systems can monitor treatment response, track disease progression, and detect recurrence at an early stage. By continuously analyzing patient data, including imaging, laboratory results, and clinical assessments, AI algorithms can provide real-time insights, facilitating timely interventions and adjustments to treatment plans. This proactive approach to disease management improves patient outcomes and enhances quality of life.</p&gt