PREDICTIVE TOXICOLOGY: MODELING CHEMICAL INDUCED TOXICOLOGICAL RESPONSE COMBINING CIRCULAR FINGERPRINTS WITH RANDOM FOREST AND SUPPORT VECTOR MACHINE

Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine

Modern drug discovery and toxicological research are under pressure, as the cost of developing and testing new chemicals for potential toxicological risk is rising.Extensive evaluation of chemical products for potential adverse effects is a challenging task, due to the large number of chemicals and the possible hazardous effects on human health.Saf

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KAJIAN SISTEM PEMANTAUAN PEREDARAN KAYU BUNDAR

The change of assessing reforestation fund (DR) and forest product fee (IHH) on logs from official assessment lo self assessment by forest concession holder also changed the supervision of logs flow.The read more aim of this study is; 1) lo compare the difference between old system and new system and 2) lo see how the new system of supervising as i

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Seismic attributes and spectral decomposition-based inverted porosity-constrained simulations for appraisal of shallow-marine lower-Cretaceous sequences of Miano gas field, Southern Pakistan

Seismic attributes can play an important role in the exploration of hydrocarbon-bearing stratigraphic systems.Incised valley systems are developed during the falling sea, which causes the deposition of coarse-grained sandstone facies inside the low-standing tracts (LST).These regional phenomena constrain the quantitative attributes of ultra-thin-be

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