71 research outputs found
Model-free Representation Learning and Exploration in Low-rank MDPs
The low rank MDP has emerged as an important model for studying
representation learning and exploration in reinforcement learning. With a known
representation, several model-free exploration strategies exist. In contrast,
all algorithms for the unknown representation setting are model-based, thereby
requiring the ability to model the full dynamics. In this work, we present the
first model-free representation learning algorithms for low rank MDPs. The key
algorithmic contribution is a new minimax representation learning objective,
for which we provide variants with differing tradeoffs in their statistical and
computational properties. We interleave this representation learning step with
an exploration strategy to cover the state space in a reward-free manner. The
resulting algorithms are provably sample efficient and can accommodate general
function approximation to scale to complex environments
Allogeneic Hematopoietic Cell Transplantation for Blastic Plasmacytoid Dendritic Cell Neoplasm: A CIBMTR Analysis
Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare hematological malignancy with a poor prognosis and considered incurable with conventional chemotherapy. Small observational studies reported allogeneic hematopoietic cell transplantation (allo-HCT) offers durable remissions in patients with BPDCN. We report an analysis of patients with BPDCN who received an allo-HCT, using data reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). We identified 164 patients with BPDCN from 78 centers who underwent allo-HCT between 2007 and 2018. The 5-year overall survival (OS), disease-free survival (DFS), relapse, and nonrelapse mortality (NRM) rates were 51.2% (95% confidence interval [CI], 42.5-59.8), 44.4% (95% CI, 36.2-52.8), 32.2% (95% CI, 24.7-40.3), and 23.3% (95% CI, 16.9-30.4), respectively. Disease relapse was the most common cause of death. On multivariate analyses, age of ≥60 years was predictive for inferior OS (hazard ratio [HR], 2.16; 95% CI, 1.35-3.46; P = .001), and higher NRM (HR, 2.19; 95% CI, 1.13-4.22; P = .02). Remission status at time of allo-HCT (CR2/primary induction failure/relapse vs CR1) was predictive of inferior OS (HR, 1.87; 95% CI, 1.14-3.06; P = .01) and DFS (HR, 1.75; 95% CI, 1.11-2.76; P = .02). Use of myeloablative conditioning with total body irradiation (MAC-TBI) was predictive of improved DFS and reduced relapse risk. Allo-HCT is effective in providing durable remissions and long-term survival in BPDCN. Younger age and allo-HCT in CR1 predicted for improved survival, whereas MAC-TBI predicted for less relapse and improved DFS. Novel strategies incorporating allo-HCT are needed to further improve outcomes
Efficient removal of 2,4-dichlorophenol from contaminated water and alleviation of membrane fouling by high flux polysulfone-iron oxide/graphene oxide composite hollow fiber membranes
Amoxicillin removal using polyethersulfone hollow fiber membranes blended with ZIF-L nanoflakes and cGO nanosheets: Improved flux and fouling-resistance
Efficient separation of biological macromolecular proteins by polyethersulfone hollow fiber ultrafiltration membranes modified with Fe3O4 nanoparticles-decorated carboxylated graphene oxide nanosheets
Recent progress on functional polymeric membranes for CO2 separation from flue gases: A review
The separation of CO2 has been recognized as a potential approach to address the impacts of climate change resulting from the emission of flue gases into the environment. Efficient separation technologies are required to effectively remove CO2 from flue gases. To resolve this problem, membrane-based gas separation is considered an economically viable and energy-efficient technology over conventional techniques. Functional polymeric membranes have gained a lot of interest for their attractive gas separation performance. Thus, this work aims to critically review the recent developments of functional polymeric membranes designed for CO2 separation from flue gases. Starting with a background on flue gases and polymeric membranes, a brief discussion on Robeson's upper bound for CO2/N2 separation is provided. After that, a detailed analysis of the current advancements in different membrane modification approaches, such as mixed matrix, grafting, layer-by-layer assembly, and interfacial polymerization, for improved performance of polymeric membranes is provided. Furthermore, the effect of CO2 on polymeric membranes (plasticization and aging), the current global market and key market players in the membranes-based gas separation field are discussed thoroughly. Finally, a concise remark on the future directions of polymeric membranes for CO2 separation from flue gases is presented
Zeolitic imidazolate framework-67/carboxylated graphene oxide nanosheets incorporated polyethersulfone hollow fiber membranes for removal of toxic heavy metals from contaminated water
Efficacy and safety of intravenous ferric carboxymaltose in moderate to severe postpartum iron deficiency anemia
Hydrostable ZIF-8 layer on polyacrylonitrile membrane for efficient treatment of oilfield produced water
Enhanced flux and antifouling property on municipal wastewater of polyethersulfone hollow fiber membranes by embedding carboxylated multi-walled carbon nanotubes and a vitamin E derivative
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