Identification of a Direct Distribution Model from a Regionalized Mechanistic Model of Aquatic Acidification

Author(s):  
M. J. Small ◽  
P. A. Labieniec ◽  
M. C. Sutton
1986 ◽  
Vol 22 (13) ◽  
pp. 1749-1758 ◽  
Author(s):  
Mitchell J. Small ◽  
Michael C. Sutton

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Lei Tang ◽  
Jing Su ◽  
De-Shuang Huang ◽  
Daniel Y. Lee ◽  
King C. Li ◽  
...  

In this paper, we established a multiscale mechanistic model for studying drug delivery, biodistribution, and therapeutic effects of cancer drug therapy in order to identify optimal treatment strategies. Due to the specific characteristics of cancer, our proposed model focuses on drug effects on malignant solid tumor and specific internal organs as well as the intratumoral and regional extracellular microenvironments. At the organ level, we quantified drug delivery based on a multicompartmental model. This model will facilitate the analysis and prediction of organ toxicity and provide important pharmacokinetic information with regard to drug clearance rates. For the analysis of intratumoral microenvironment which is directly related to blood drug concentrations and tumor properties, we constructed a drug distribution model using diffusion-convection solute transport to study temporal/spatial variations of drug concentration. With this information, our model incorporates signaling pathways for the analysis of antitumor response with drug combinations at the extracellular level. Moreover, changes in tumor size, cellular proliferation, and apoptosis induced by different drug treatment conditions are studied. Therefore, the proposed multi-scale model could be used to understand drug clinical actions, study drug therapy-antitumor effects, and potentially identify optimal combination drug therapy. Numerical simulations demonstrate the proposed system's effectiveness.


Author(s):  
Junhui Mei ◽  
Xidong Zhang ◽  
Heng Zhang ◽  
Guojun Lai ◽  
Guixia Kang

2019 ◽  
Author(s):  
Yujie Tu ◽  
Junkai Liu ◽  
Haoke Zhang ◽  
Qian Peng ◽  
Jacky W. Y. Lam ◽  
...  

Aggregation-induced emission (AIE) is an unusual photophysical phenomenon and provides an effective and advantageous strategy for the design of highly emissive materials in versatile applications such as sensing, imaging, and theragnosis. "Restriction of intramolecular motion" is the well-recognized working mechanism of AIE and have guided the molecular design of most AIE materials. However, it sometimes fails to be workable to some heteroatom-containing systems. Herein, in this work, we take more than one excited state into account and specify a mechanism –"restriction of access to dark state (RADS)" – to explain the AIE effect of heteroatom-containing molecules. An anthracene-based zinc ion probe named APA is chosen as the model compound, whose weak fluorescence in solution is ascribed to the easy access from the bright (π,π*) state to the closelying dark (n,π*) state caused by the strong vibronic coupling of the two excited states. By either metal complexation or aggregation, the dark state is less accessible due to the restriction of the molecular motion leading to the dark state and elevation of the dark state energy, thus the emission of the bright state is restored. RADS is found to be powerful in elucidating the photophysics of AIE materials with excited states which favor non-radiative decay, including overlap-forbidden states such as (n,π*) and CT states, spin-forbidden triplet states, which commonly exist in heteroatom-containing molecules.


2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Djoko Prijo Utomo

In consequence of the increasing of regional economic activities in Pulau Batam, a reliable transportation system is required. Decreasing road network performance as a result of increasing traffic volume needs a strategic planning to anticipate the worsening condition in the future. One of the solutions is by providing mass transit system which is expected to attract private car users. Therefore, determination of potential corridor of mass transit system need to be identified so that the system provide better accessibility. Trip pattern in Pulau Batam must be known by developing trip distribution model. The trip distribution model is calibrated using origin-destination (O-D) data that is based on home interview survey. The validated model will be used to forecast and simulate travel demand onto transport network. Result of model calibration process shows mean trip length difference between model and survey is equal 0.141 %. From simulation of trip assignment is obtained that potential corridor for mass transit system using LRT is Batu Ampar – Batu Aji via Muka Kuning. Passenger forecast in the year 2030 is 193,990 passenger/day (2 directions).


2018 ◽  
Vol 16 (2) ◽  
pp. 138
Author(s):  
Aan Zainul Anwar ◽  
Miftah Arifin

This study aimed to determine the degree of understanding of zakat on profession/income and the characteristics of the community distribution model as an effective collection model for zakat institutions. This study used a qualitative method with 68 respondents from various professional work backgrounds including civil servants, teachers, employees, military, police, and government officials. The results of this study were that Jepara people have a high degree of understanding about zakat but have not been fully able to calculate nishab of zakat especially zakat on profession/income. Therefore, not all people who are obliged to pay zakat on professionand the distribution of zakat on professionis still directly to mustahiq.Keywords: Zakat on Profession/Income; Understanding of Zakat; Zakat; Alms 


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