Due to establishment of five international organizations for tuna fisheries, tuna fishing in high seas are consequentially transformed from a time of free competition to a time of cooperative competition on the platforms created by those international organizations. The paper explores the openness, procedures of decision-making, allocation of fishing quotas...
Full Text:
comparative study on international organizations for tuna fisheries
Xinshan Liu
a
, RuiGeng
b
a
Due to establishment of five international organizations for tuna fisheries, tuna fishing in high seas are consequentially transformed from a time of free competition to a time of cooperative competition on the platforms created by those international organizations. The paper explores the openness, procedures of decision-making, allocation of fishing quotas...
Due to establishment of five international organizations for tuna fisheries, tuna fishing in high seas are consequentially transformed from a time of free competition to a time of cooperative competition on the platforms created by those international organizations. The paper explores the openness, procedures of decision-making, allocation of fishing quotas...
Coring/logging data and physical property measurements from International Ocean Discovery Program Expedition 349 are integrated with, and correlated to, reflection seismic data to map seismic sequence boundaries and facies of the central basin and neighboring regions of the South China Sea. First-order sequence boundaries are interpreted, which are Oligocene/Miocene, middle...
Combined analyses of deep tow magnetic anomalies and International Ocean Discovery Program Expedition 349 cores show that initial seafloor spreading started around 33 Ma in the northeastern South China Sea (SCS), but varied slightly by 1-2 Myr along the northern continent-ocean boundary (COB). A southward ridge jump of ∼20 km...
We present a method for decentralized, multi-robot exploration in adverse environments where communication is minimal. A key conceptual feature of our method is enabling implicit coordination between robots by training a Convolutional Neural Network (CNN) as a heuristic for planning using Monte Carlo Tree Search (MCTS). Our method consists of...
The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
DNA microarray technology is a powerful tool for analyzing patterns in gene expression data for thousands of genes. Due to a number of systematic variations in microarray experiments, the raw gene expression data is often obfuscated by undesirable technical noises. Various normalization techniques were designed in an attempt to remove...
This dissertation presents nonlinear terahertz (THz) properties of carbon nanomaterials investigated by time-resolved high-field THz spectroscopy. In order to determine THz characteristics of nanomaterials, we performed THz power spectrum measurement, THz raster imaging, THz time-domain spectroscopy (THz-TDS) and time-resolved pump-probe experiment on two different types of single layer graphene and...
Environmental DNA (eDNA) is an emerging biological monitoring tool that can aid in assessing the effects of forestry and forest manufacturing activities on biota. Monitoring taxa across broad spatial and temporal scales is necessary to ensure forest management and forest manufacturing activities meet their environmental goals of maintaining biodiversity. Our...