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Search Results: 1 - 10 of 47852 matches for " Frank Lin "
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Free Anterolateral Thigh Perforator Flap for Head and Neck Cancer Resection in a Nonagenarian  [PDF]
Frank Lin, Damien Grinsell
Modern Plastic Surgery (MPS) , 2012, DOI: 10.4236/mps.2012.21001
Abstract: With an aging population, free flap reconstruction for head and neck cancer ablation in the elderly is becoming more commonplace. In nonagenarians, however, such major operations are still rarely offered due to its physiological demands. We report the first case of successful resection and reconstruction of head and neck cancer with a free perforator flap in a 96 year old patient. We feel that with careful patient and flap selection, careful preoperative workup and close collaboration between treating teams, age alone should not preclude patients from receiving the best possible curative treatment and reconstruction in head and neck cancers. Even in nonagenarians, perforator free flaps, such as the anterolateral thigh flap, can be used safely to achieve good functional and aesthetic outcomes.
Optimal consumption and portfolio choice with ambiguity
Qian Lin,Frank Riedel
Quantitative Finance , 2014,
Abstract: We consider optimal consumption and portfolio choice in the presence of Knightian uncertainty in continuous-time. We embed the problem into the new framework of stochastic calculus for such settings, dealing in particular with the issue of non-equivalent multiple priors. We solve the problem completely by identifying the worst--case measure. Our setup also allows to consider interest rate uncertainty; we show that under some robust parameter constellations, the investor optimally puts all his wealth into the asset market, and does not save or borrow at all.
Advancements in Suppression of Osteosarcoma Tumorigenicity: A Prospective Look  [PDF]
Lin Wang, Paul Park, Frank La Marca, Khoi Than, Shayan Rahman, Chia-Ying Lin
Journal of Cancer Therapy (JCT) , 2012, DOI: 10.4236/jct.2012.34042
Abstract: Bone morphogenetic proteins (BMPs) promote differentiation of stem cells into bone cells. Results from our pilot studies indicate these proteins are also capable of inducing the differentiation of stem-like cells that initiate and propagate osteosarcoma, a rare, highly malignant primary bone tumor affecting primarily children and adolescents. Our plans to evaluate the use of BMP as adjuvant therapy to suppress bone tumor while facilitating skeletal reconstruction are reviewed.
Frank C. Lin,Weiwei Zhu,Kingkarn Sookhanaphibarn
Science of Tsunami Hazards , 2011,
Abstract: We present prima facie evidence that upon the onset of the Tohoku tsunami of Mar. 11, 2011 infrared radiation was emitted by the tsunami and was detected by the Japanese satellite MTSAT-IR1, in agreement with our earlier findings for the Great Sumatra Tsunami of 2004. Implications for a worldwide Tsunami Early Warning System are discussed.
Numerical solution of nonlocal hydrodynamic Drude model for arbitrary shaped nano-plasmonic structures using Nédélec finite elements
Kirankumar R. Hiremath,Lin Zschiedrich,Frank Schmidt
Physics , 2012, DOI: 10.1016/j.jcp.2012.05.013
Abstract: Nonlocal material response distinctively changes the optical properties of nano-plasmonic scatterers and waveguides. It is described by the nonlocal hydrodynamic Drude model, which -- in frequency domain -- is given by a coupled system of equations for the electric field and an additional polarization current of the electron gas modeled analogous to a hydrodynamic flow. Recent works encountered difficulties in dealing with the grad-div operator appearing in the governing equation of the hydrodynamic current. Therefore, in these studies the model has been simplified with the curl-free hydrodynamic current approximation; but this causes spurious resonances. In this paper we present a rigorous weak formulation in the Sobolev spaces $H(\mathrm{curl})$ for the electric field and $H(\mathrm{div})$ for the hydrodynamic current, which directly leads to a consistent discretization based on N\'ed\'elec's finite element spaces. Comparisons with the Mie theory results agree well. We also demonstrate the capability of the method to handle any arbitrary shaped scatterer.
Exons 19 and 21 of Epidermal Growth Factor Receptor Are Highly Conserved in Squamous Cell Cancer of the Head and Neck
Matthew Carlson,Beverly Wuertz,Jizhen Lin,Randy Taylor,Frank Ondrey
International Journal of Otolaryngology , 2009, DOI: 10.1155/2009/649615
Abstract: Objective. Epidermal growth factor receptor (EGFR) tyrosine kinase inhibition (TKI) is a promising treatment in upper aerodigestive malignancies. EGFR inhibitors might be more effective in patients whose tumors harbor specific EGFR mutations. The presence of specific EFGR mutations is predictive of over a 75% response rate to TKI therapies as compared to 10% in wild type cases of non-small cell lung cancer. Our objective was to examine whether these mutations might occur in upper aerodigestive cancers. Design. DNA was extracted from 20 head and neck squamous cell tumors and 4 squamous cell carcinoma cell lines and sequenced the receptor using published primer pairs. We then compared the results against published mutations. Results. No exon 19 or 21 mutations were found in any of the 20 tumors and 0 of 4 cell lines. Based on the tumor data we would predict that no greater than 8% of head and neck tumors (CI 97.5%) would be likely to harbor either of these mutations. Conclusions. Our findings are comparable to results recently published of Korean, Austrian, and Spanish patient populations and we conclude that exon 19 and 21 EGFR mutations are not more common in head and neck cancer than in nonsmall-cell carcinoma.
An Efficient Lagrangean Relaxation-based Object Tracking Algorithm in Wireless Sensor Networks
Frank Yeong-Sung Lin,Cheng-Ta Lee
Sensors , 2010, DOI: 10.3390/s100908101
Abstract: In this paper we propose an energy-efficient object tracking algorithm in wireless sensor networks (WSNs). Such sensor networks have to be designed to achieve energy-efficient object tracking for any given arbitrary topology. We consider in particular the bi-directional moving objects with given frequencies for each pair of sensor nodes and link transmission cost. This problem is formulated as a 0/1 integer-programming problem. A Lagrangean relaxation-based (LR-based) heuristic algorithm is proposed for solving the optimization problem. Experimental results showed that the proposed algorithm achieves near optimization in energy-efficient object tracking. Furthermore, the algorithm is very efficient and scalable in terms of the solution time.
In silico prioritisation of candidate genes for prokaryotic gene function discovery: an application of phylogenetic profiles
Frank PY Lin, Enrico Coiera, Ruiting Lan, Vitali Sintchenko
BMC Bioinformatics , 2009, DOI: 10.1186/1471-2105-10-86
Abstract: Using gene occurrence patterns in sample genomes, we developed two CGP methods (statistical and inductive CGP) to assist with the discovery of bacterial gene functions. Statistical CGP exploits the differences in gene frequency against phenotypic groups, while inductive CGP applies supervised machine learning to identify gene occurrence pattern across genomes. Three rediscovery experiments were designed to evaluate the CGP frameworks. The first experiment attempted to rediscover peptidoglycan genes with 417 published genome sequences. Both CGP methods achieved best areas under receiver operating characteristic curve (AUC) of 0.911 in Escherichia coli K-12 (EC-K12) and 0.978 Streptococcus agalactiae 2603 (SA-2603) genomes, with an average improvement in precision of >3.2-fold and a maximum of >27-fold using statistical CGP. A median AUC of >0.95 could still be achieved with as few as 10 genome examples in each group of genome examples in the rediscovery of the peptidoglycan metabolism genes. In the second experiment, a maximum of 109-fold improvement in precision was achieved in the rediscovery of anaerobic fermentation genes in EC-K12. The last experiment attempted to rediscover genes from 31 metabolic pathways in SA-2603, where 14 pathways achieved AUC >0.9 and 28 pathways achieved AUC >0.8 with the best inductive CGP algorithms.Our results demonstrate that the two CGP methods can assist with the study of functionally uncategorised genomic regions and discovery of bacterial gene-function relationships. Our rediscovery experiments also provide a set of standard tasks against which future methods may be compared.Identifying gene functions is an important task in biology. The exponential growth of genome sequences has placed greater importance on the use of computational approaches for sequence analysis and annotation. With the development of high-throughput technology, methods of comparative genomics are increasingly used to assist with the identification of gene fun
Harnessing naturally randomized transcription to infer regulatory relationships among genes
Lin S Chen, Frank Emmert-Streib, John D Storey
Genome Biology , 2007, DOI: 10.1186/gb-2007-8-10-r219
Abstract: It is now possible to measure DNA variation, RNA expression levels, and protein expression levels from thousands of genes in a given biologic sample [1-3]. Of great interest is inferring the 'wiring diagram', or the way in which many genes regulate one another and interact, from these sources of high-throughput data [4,5]. However, this goal is complicated by the fact that RNA levels, protein levels, phenotypes, and environmental conditions may all affect one another [6-10], creating intractable sources of confounding. This has made it difficult to distinguish correlation from causal regulatory effects, limiting the success and applicability of constructed genome-wide regulatory networks [11].A number of integrative genomics studies have recently been conducted, in which large-scale genotyping and expression profiling is performed on individuals with randomized genetic backgrounds [12-15]. Typically, linkage analyses have been performed on these studies in order to detect quantitative trait loci (QTLs) underlying gene 'expression traits' [10,12-17]. Although these studies have shown that expression variation is highly heritable, this approach does not typically directly identify specific genes or mechanisms that are responsible for expression variation without additional experimentation. Instead of employing this experimental approach to genetically dissect expression traits, we have developed a method called 'Trigger' (Transcriptional Regulation Inference from Genetics of Gene ExpRession) for inferring causal regulatory relationships among all possible pairs of genes.Randomization is the 'gold standard' for inferring causality of one variable on another [18-20]. This concept has successfully been applied in clinical trials to establish the causal effects of drugs on disease. Because DNA variation has a substantial and widespread effect on transcriptional variation [12-15,21-25], we show that randomizing DNA content provides a natural mechanism for randomizing RNA l
Genetic polymorphisms of angiotensin-2 type 1 receptor and angiotensinogen and risk of renal dysfunction and coronary heart disease in type 2 diabetes mellitus
Julie Lin, Frank B Hu, Lu Qi, Gary C Curhan
BMC Nephrology , 2009, DOI: 10.1186/1471-2369-10-9
Abstract: Study participants were diabetics from the Health Professionals Follow-Up Study (HPFS) and the Nurses' Health Study (NHS). We analyzed single nucleotide polymorphisms (SNPs) associated with cardiovascular pathophysiology (including AGT1R T573C, AGT1R A1166C, and AGT M235T) and presence of renal dysfunction (eGFR<60 ml/min/1.73 m2) or history of CHD.The AGT1R 1166 C-allele was associated with eGFR<60 ml/min/1.73 m2 (multivariable OR 1.63 [1.01, 2.65]) in the HPFS men (n = 733) and in the combined dataset (n = 1566) (OR 1.42 [1.02, 1.98]). The AGT1R 1166 C-allele was also associated with CHD in men (OR 1.57 [1.10, 2.24]). In NHS women (n = 833), AGT 235T-allele was associated with CHD (OR 1.72 [1.20, 2.47]). Removal of hypertension from the fully adjusted models did not influence results, suggesting that the associations may not be mediated by hypertension. There were significant interactions between sex and AGT1R 1166 C-allele (p = 0.008) and AGT M235T (p = 0.03) in models for CHD. No significant associations were seen between AGT1R T573 C-allele and renal dysfunction or CHD.Polymorphisms in AGT1R and AGT genes are associated with renal dysfunction and CHD in type 2 diabetes and further support the important role of the RAS in these complications. Sex may modify associations between AGT1R 1166 C-allele and AGT 235T and CHD in type 2 diabetes.Increased activation of the renin-angiotensin system (RAS) has been postulated to play a central role in the progression of chronic kidney disease (CKD) and coronary heart disease (CHD). This theory is supported by randomized clinical trials that have shown beneficial clinical effects of the blockade of production of angiotensin-II (AII) by angiotensin converting enzyme inhibitor (ACE-I) medications or antagonism of AII action through angiotensin receptor blockade (ARBs). For example, among diabetics, the ARB losartan significantly slowed progression of CKD [1], whereas the ACE-I medication ramipril significantly reduced CHD morb
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