Moving forward, CHyMP implementation should begin with working groups focused initially on an initial version of a National Water Model by establishing current capabilities through benchmarking large-scale models, identifying and enhancing current continental-scale data of important forcing and parameters, and evaluating the cyberinfrastructure needed to support truly integrated hydrologic modeling across the continent.

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Generic medicine is a pharmaceutical drug which contains the same active ingredients as a branded drug in terms of strength, dosage, route of administration, quality, safety, performance characteristics, and therapeutic use. Generic medicine plays a major role in providing affordable medicines to patients. This systematic review was done to identify the knowledge regarding generic medicine prescription among dental and medical professionals worldwide. The search was performed in four databases PubMed, Turning Research Into Practice database (Trip database), Cochrane Library, and Google Scholar to identify the relevant articles with specific keywords and the time filter was February 2012 to February 2022. Finally we included 11 cross-sectional studies. However, generic prescribing is not very much adopted in India due to a lack of awareness about regulatory standards used in generic drug manufacturing. Based on this, the systematic review found that limited knowledge and negative perception among medical and dental professionals about generic medicine are clearly a major barrier to the implementation of generic medicine.

The Lower Mekong River Basin in Southeast Asia experiences frequent rainfall-triggered landslides especially during the monsoon season. In this study, the influence of land use and land cover (LULC) change and other causative factors on landslide susceptibility is evaluated in the Lower Mekong Basin. Frequency ratio analysis is performed to quantify the relationship between LULC change and susceptibility. Detailed landslide inventory maps are used for analysis with yearly LULC maps. The LULC change is used as a contributing variable in a logistic regression-based susceptibility model with other variables including distance to roads, slope, aspect, forest loss, and soil properties. The Receiver Operating Characteristic (ROC) curve and Area Under the Curve (AUC) are estimated for the model trained by each landslide inventory. The models show good performance, with AUC values ranging from 0.697 to 0.958 and an average AUC equal to 0.820. Both the Frequency Ratio analysis and the Logistic Regression models indicate LULC change from agricultural land to forest has a positive correlation with landslide occurrence. The most significant factors in the models are found to be distance to roads, slope, and aspect. A better understanding of the effects of LULC on landslide susceptibility can be useful for local land and disaster management and for the implementation of LULC as a factor in future susceptibility models. Using datasets that are unique to the Lower Mekong region, this study provides additional insights into the relationship between causative factors and landslide activity to better inform regional and global landslide susceptibility modeling.