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Besides, the dysregulation of pro-inflammatory genes and endoplasmic reticulum stress showed that triclosan and bisphenol A exposure not only induced occurrence of NAFLD, but also promoted progression of hepatic inflammation. However, no significant effect on lipid metabolism was observed in fluorene-9-bisphenol-exposed treatment although the larval phenotypic malformation was found compared to the control group. Moreover, EDCs exposure led to decreased global m6A level and abnormal expression of m6A modulators in larvae. Especially, the expression of demethylase FTO (fat mass and obesity-associated protein) was significantly increased in triclosan-exposure treatment. These findings are conductive for us to deeply understand the underlying molecular mechanisms regarding the obesity and NAFLD from EDCs exposure. Industrial manufacture boom in the past decades had resulted in the release of new chemicals to the environment. A group of manmade chemicals called per-and polyfluoroalkyl substances (PFASs) are among these chemicals that have gained traction in recent years which are used in myriad consumer and industrial products worldwide. Since some PFASs are persistent, bioaccumulative, and toxic in nature, series of programs and regulatory initiatives have been introduced to end their production; and gradually replacing them with short chain alternatives. However, concerns have been expressed in the scientific literature about the characteristics and effects of some of these short chain alternatives on environmental and living systems. Here, we suggest that professional scientific bodies should be part of the review process of alternatives short chain PFASs, owing to their immeasurable contribution to knowledge and understanding of these chemicals. Per and poly fluoroalkyl substances are understudied and poorly regulated in developing countries. Therefore, in order for these countries to contribute meaningfully to the global regulatory initiatives on PFASs, transfer of technology and capacity building must be explicitly considered, given the developed competencies, technical expertise and skills that are required for evidence-based policy development and implementation. Furthermore, the issue of transparency of the production and use of PFASs which some companies consider as confidential business information (CBI) must be closely paid attention to by regulators. Confidential business information if not properly addressed may undermine regulatory and risk reduction measures as it may limit most of the relevant information pertaining to PFASs. Rasasindura (RS) is an Ayurvedic medicine, which contains ∼99% α-HgS. It is used as a rejuvenating agent and commonly used to treat diseases such as syphilis, insomnia, high fever, and nervous disorders. Cinnabar ore (α-HgS) is a well-known mineral, which is readily available. Despite it, Ayurvedic practitioners adopted an involved and tedious procedure for the preparation of RS. In this study, three samples, one was Ayurvedic (RS), the second one was the commercial (HGS), and the third one was cinnabar ore (CN), were physiochemically examined. Zebrafish model was employed for toxicity study with an oral dose of 100 mg/kg/day for the three samples for 10 days. We found that RS conferred novel physicochemical properties, which were not seen in HGS and CN. Significantly, the average crystallite size of RS was lowest (26 nm) as compared to HGS (31 nm) and CN (34 nm), and the rate of increase of crystallite size with temperature was lowest in RS. RS did not show any significant behavioral toxicity in zebrafish, which was seen with the HGS-and CN-treated zebrafish. learn more HGS-and CN-treated zebrafish showed a significantly high (∗∗∗p 0.05). Interestingly, HGS significantly altered the γ-aminobutyric acid (GABA) in brain tissue. Therefore, among all three samples, RS exhibited the lowest toxicity, which can be credited to the distinct toxicokinetics by these samples. BACKGROUND AND OBJECTIVE Many studies regarding health analysis request structured datasets but the legacy resources provide scattered data. This study aims to establish a health informatics transformation model (HITM) based upon intelligent cloud computing with the self-developed analytics modules by open source technique. The model was exemplified by the open data of type 2 diabetes mellitus (DM2) with related cardiovascular diseases. METHODS The Apache-SPARK framework was employed to generate the infrastructure of the HITM, which enables the machine learning (ML) algorithms including random forest, multi-layer perceptron classifier, support vector machine, and naïve Bayes classifier as well as the regression analysis for intelligent cloud computing. The modeling applied the MIMIC-III open database as an example to design the health informatics data warehouse, which embeds the PL/SQL-based modules to extract the analytical data for the training processes. A coupling analysis flow can drive the ML modules to train the sample data and validate the results. RESULTS The four modes of cloud computation were compared to evaluate the feasibility of the cloud platform in accordance with its system performance for more than 11,500 datasets. Then, the modeling adaptability was validated by simulating the featured datasets of obesity and cardiovascular-related diseases for patients with DM2 and its complications. The results showed that the run-time efficiency of the platform performed in around one minute and the prediction accuracy of the featured datasets reached 90%. CONCLUSIONS This study helped contribute the modeling for efficient transformation of health informatics. The HITM can be customized for the actual clinical database, which provides big data for training, with the proper ML modules for a predictable process in the cloud platform. The feedback of intelligent computing can be referred to risk assessment in health promotion. V.INTRODUCTION Electrical storm (ES) is cardiac electrical instability characterized by recurrent episodes of ventricular tachyarrhythmias. ES is associated with increased mortality and morbidity, hence requires prompt intervention. Treatment of underlying etiology is of prime importance in termination of ES. Anti-arrhythmic medications serve as an adjunctive therapy in suppression of ES by reducing myocardial excitability. The anti-arrhythmic conventionally employed is amiodarone in combination with non-selective beta-blockers to reduce the adrenergic input to myocardium. However, anti-arrhythmics at increased concentrations can lead to adverse systemic effects including hemodynamic instability. HYPOTHESIS We hypothesize 1. The use of intravenous or oral anti-arrhythmic therapy for patients in electrical storm is limited by their toxicities and blood pressure lowering effect. Corollary 1. Injection of anti-arrhythmic medications into the pericardial space, an extra-vascular structure encasing the heart, provides an option for use of higher concentration of anti-arrhythmic while limiting systemic absorption.