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Furthermore, the maximum area under the ROC curve (AUC) was 0.97, which was obtained by the GBHCT model combined with the IE method, indicating that this method has the best performance. The largest improvement occurs in the PB method, with a change in the AUC of 0.32. The modification of the energy is more obvious for protein-protein interactions than for protein-ligand interactions. This study indicates the effectiveness of the IE method in successfully recognizing the native structure, which is critical in rational drug design.Ferrocene-containing nanoparticles show reversible redox activity that could trigger drug release mediated by reactive oxygen species (ROS). In this study, four ferrocene-containing polymers, comprising ferrocenylmethyl methacrylate (FMMA)-methacrylic acid (MA) random copolymers, i.e., poly(FMMA-r-MA), were synthesized via radical polymerization, resulting in self-assembled ferrocene nanoparticles (FNPs) with outstanding performance in environments in which ROS are present. These spherical FNPs have tunable diameters ranging from 270 nm to 180 nm and surface charges from -20 mV to -50 mV. Importantly, the diameters and surface charges of the FNPs changed dramatically after 2 h of post-treatment using 0.4 M hydrogen peroxide (H2O2) as the oxidant, indicating that the FNPs were highly ROS-sensitive. Furthermore, the controlled release of a model drug from the FNPs, reflected in the release profiles, indicates that these novel FNPs could be potentially used as drug carriers for the effective therapy of ROS-related diseases such as cancer and inflammation.On-chip radiometric detection of biological samples using radiotracers has become an emerging research field known as microfluidic radiobioassays. Performing parallel radiobioassays is highly desirable for saving time/effort, reducing experimental variation between assays, and minimizing the cost of the radioisotope. Continuously infused microfluidic radioassay (CIMR) is one of the useful tools for investigating cellular pharmacokinetics and assessing the binding and uptakes of radiopharmaceuticals. However, existing CIMR systems can only measure the dynamics of one sample at a time due to the limited field of view (FOV) of the positron detector. To increase the throughput, we propose a new CIMR system with a custom-built miniaturized panel-based positron-emission tomography (PET) scanner and a parallel infusion setup/method, capable of imaging the cellular pharmacokinetics of three samples in one measurement. With this system, the pharmacokinetics of parallel or comparison samples can be imaged simultaneously. The increased throughput is attributed to two innovations 1) the large 3D FOV of the mini-panel PET scanner, enabling more samples to be imaged in the microfluidic chip; and 2) a parallel infusion method, in which only one reference chamber is needed for indicating the dynamic input of the infused radiotracer medium, thus saving the total reference chambers needed compared to the current sequential infusion method. Combining the CIMR technique and the mini-panel PET scanner, this study also firstly demonstrated the feasibility of using PET, as an imaging modality, for microfluidic radiobioassays. Besides the increased throughput, the 3D imaging of PET also provides possibilities for further applications such as organoid/3D culturing systems, non-planar microfluidics, and organs-on-chips. The system is more practical for a broader range of applications in nuclear medicine, molecular imaging, and lab-on-a-chip studies.Camera manipulation confounds the use of object recognition applications by blind people. This is exacerbated when photos from this population are also used to train models, as with teachable machines, where out-of-frame or partially included objects against cluttered backgrounds degrade performance. Leveraging prior evidence on the ability of blind people to coordinate hand movements using proprioception, we propose a deep learning system that jointly models hand segmentation and object localization for object classification. We investigate the utility of hands as a natural interface for including and indicating the object of interest in the camera frame. We confirm the potential of this approach by analyzing existing datasets from people with visual impairments for object recognition. With a new publicly available egocentric dataset and an extensive error analysis, we provide insights into this approach in the context of teachable recognizers.This study was conducted to evaluate the potential of pineapple peel (PP) and pineapple crown leaves (PCL) as the substrate for vanillic acid and vanillin production. About 202 ± 18 mg L-1 and 120 ± 11 mg L-1 of ferulic acid was produced from the PP and PCL respectively. By applied response surface methodology, the ferulic acid yield was increased to 1055 ± 160 mg L-1 by treating 19.3% of PP for 76 min, and 328 ± 23 mg L-1 by treating 9.9% of PCL for 36 min in aqueous sodium hydroxide solution at 120 °C. The results revealed that PP extract was better than PCL extract for vanillic acid and vanillin production. NVP-BEZ235 nmr Furthermore, the experiment also proved that large volume feeding was more efficient than small volume feeding for high vanillic acid and vanillin yield. Through large volume feeding, about 7 ± 2 mg L-1 of vanillic acid and 5 ± 1 mg L-1 of vanillin was successfully produced from PP extract via Aspergillus niger fermentation. © The Author(s) 2020.The effectiveness of drug combinations for treatment of a variety of complex diseases is well established. "Drug cocktail" treatments are often prescribed to improve the overall efficacy, decrease toxicity, alter pharmacodynamics, etc in an overall treatment strategy. Specifically, if when combined, drugs interact in some way that causes the total effect to be greater than that predicted by their individual potencies, then drugs are considered synergistic. While there are established ways to quantify the impact of drug combinations clinically, it is an open challenge to quantitatively summarize a synergistic interaction. In this paper, we discuss an overview of the current statistical and mathematical methods for the study of drug combination effects, especially drug synergy quantification (where the interaction effect is not just detected, but quantified according to its magnitude). We first introduce two popular reference models for testing to null hypothesis of non-interaction for a combination, including the Bliss independence model and the Loewe additivity model.

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