The Example of State Forestry Information System (SFIS) Data Application to Prognosis of Changes in Pine Forests

W pracy pokazano zastosowanie danych z podsystemu «Las» Systemu Informatycznego Lasów Państwowych (SILP) w Polsce do prognozowania zmian lasów sosnowych. Zaprezentowano specjalnie opracowany blok «GAP TAKSACYJNY» modelu komputerowego pozwalający na automatyczne wczytywanie uśrednionych danych taksacyjnych dla wydzieleń leśnych i przeprowadzenie prognoz na przykładzie nadleśnictwa Tuczno z Wielkopolski.The paper shows the application of data from the subsystem «Forest» State Forestry Information System (SILP) in Poland for forecasting changes in pine forests. There was presented a specially designed block «GAP TAKSACYJNY» of computer model that allows the automatic loading of sub-compartment forests data and carrying out prognosis on the example of forest district Tuczno in Wielkopolska

Novel Targeted Therapeutic Strategies for Ewing Sarcoma

Ewing sarcoma (ES) is an uncommon cancer that arises in mesenchymal tissues and represents the second most widespread malignant bone neoplasm after osteosarcoma in children. Amplifications in genomic, proteomic, and metabolism are characteristics of sarcoma, and targeting altered cancer cell molecular processes has been proposed as the latest promising strategy to fight cancer. Recent technological advancements have elucidated some of the underlying oncogenic characteristics of Ewing sarcoma. Offering new insights into the physiological basis for this phenomenon, our current review examines the dynamics of ES signaling as it related to both ES and the microenvironment by integrating genomic and proteomic analyses. An extensive survey of the literature was performed to compile the findings. We have also highlighted recent and ongoing studies integrating metabolomics and genomics aimed at better understanding the complex interactions as to how ES adapts to changing biochemical changes within the tumor microenvironment