Dilution Standard Number: A Quantitative Approach in Proving Actual Dilution Under the Federal Trademark Dilution Act

This Comment focuses on the Supreme Court\u27s interpretation of the Federal Trademark Dilution Act (FTDA) of 1995 in Moseley v. V Secret Catalogue, Inc.\u27 and develops a quantitative approach using the Court\u27s language to prove dilution under the FTDA

Investigation of single nucleotide polymorphisms in porcine candidate genes for blood component traits in pigs

This study used 209 public single nucleotide polymorphism (SNP) arrays for 151 candidate genes of pigs to analyse their association with nine blood component traits (insulin-like growth factor-I, insulin, immuno globulin, lymphocyte, monocyte, eosinophil, basophil, neutrophil and atypical lymph) in 209 Korean native pigs and Yorkshire F2 hybrids. Of these, 52 SNPs in 49 candidate genes showed significant association with one or more blood component traits. Nineteen of these SNPs were found to be present in blood component QTL regions. The 49 candidate genes corresponding to 52 SNPs with significant effects were detected and used for gene ontology analysis to understand the function of the candidate genes at molecular level. Based on functional classification (biological process, cellular components, and molecular function) of annotated candidates, 34 candidate genes (11 genes of IGF-1, 9 of IS, 9 of IG, 6 of NP, and 3 of EP) were detected. Additionally, eight genes (PSMB4, PSME3, MAPKAPK3, CTLA4, CUL7, GGT1, IDH3B, and RXRB) interacting with four immune pathways (immune system, adaptive immune system, Class I MHC-mediated antigen processing and presentation, and antigen processing: ubiquitination and proteasome degradation) were found through pathway and network analyses. The eight candidate genes identified in this study are included in class I MHC-mediated antigen pathway, which is an important factor that determines the success of organ transplantation in addition to the improvement of diseases and immunity of pigs. Therefore, these genes can potentially be used in heterogeneous organ research in future research.Keywords: Association analysis, gene network, pathway, SNP, swin

An O.D.E. Framework of Distributed TD-Learning for Networked Multi-Agent Markov Decision Processes

The primary objective of this paper is to investigate distributed ordinary differential equation (ODE) and distributed temporal difference (TD) learning algorithms for networked multi-agent Markov decision problems (MAMDPs). In our study, we adopt a distributed multi-agent framework where individual agents have access only to their own rewards, lacking insights into the rewards of other agents. Additionally, each agent has the ability to share its parameters with neighboring agents through a communication network, represented by a graph. Our contributions can be summarized in two key points: 1) We introduce novel distributed ODEs, inspired by the averaging consensus method in the continuous-time domain. The convergence of the ODEs is assessed through control theory perspectives. 2) Building upon the aforementioned ODEs, we devise new distributed TD-learning algorithms. A standout feature of one of our proposed distributed ODEs is its incorporation of two independent dynamic systems, each with a distinct role. This characteristic sets the stage for a novel distributed TD-learning strategy, the convergence of which can potentially be established using Borkar-Meyn theorem

Teaching public policy in East Asia: aspirations, potentials and challenges

10.1080/13876988.2012.724965Journal of Comparative Policy Analysis145376-39

Toward a Population Health Model of Segmented Assimilation: The Case of Low Birth Weight in Los Angeles

The authors adapt the segmented assimilation theory to a model population health, which posits that assimilation is actually harmful to migrants\u27 health. The authors also specify models of individual and contextual factors to indirectly test the theory of segmented assimilation - a theory that posits interactions between individual and residential circumstances. Using Year 2000 vital statistics data merged with 2000 U.S. census data from Los Angeles County, the authors model the probability of being born low birth weight among the native and foreign born. Results confirm an immigrant advantage at the individual level and protective effects of immigrant coresidence at the neighborhood level

Microflow imaging: new Doppler technology to detect low-grade inflammation in patients with arthritis

AIM: To assess the efficacy of microvascular imaging in detecting low-grade inflammation in arthritis compared with Power Doppler ultrasound (PDUS). METHOD AND MATERIALS: Patients presenting for ultrasound with arthralgia were assessed with grey-scale, PDUS and Superb Microvascular Imaging (SMI). Videoclips were stored for analysis at a later date. Three musculoskeletal radiologists scored grey-scale changes, signal on PDUS and/or SMI within these joints. If a signal was detected on both PDUS and SMI, the readers graded the conspicuity of vascular signal from the two Doppler techniques using a visual analogue scale. RESULTS: Eighty-three patients were recruited with 134 small joints assessed. Eighty-nine of these demonstrated vascular flow with both PD and SMI, whilst in five no flow was detected. In 40 joints, vascularity was detected with SMI but not with PDUS (p = 0.007). Out of the 89 joints with vascularity on both SMI and PDUS, 23 were rated as being equal; while SMI scored moderately or markedly better in 45 cases (p <0.001). CONCLUSION: SMI is a new Doppler technique that increases conspicuity of Doppler vascularity in symptomatic joints when compared to PDUS. This allows detection of low grade inflammation not visualised with Power Doppler in patients with arthritis. KEY POINTS: • SMI detects vascularity with improved resolution and sensitivity compared to Power Doppler. • SMI can detect low-grade inflammation not seen with Power Doppler. • Earlier detection of active inflammation could have significant impact on treatment paradigms

HnRNP Q Has a Suppressive Role in the Translation of Mouse Cryptochrome1

Precise regulation of gene expression is especially important for circadian timekeeping which is maintained by the proper oscillation of the mRNA and protein of clock genes and clock-controlled genes. As a main component of the core negative arm feedback loops in the circadian clock, the Cry1 gene contributes to the maintenance of behavioral and molecular rhythmicity. Despite the central role of Cry1, the molecular mechanisms regulating expression levels of Cry1 mRNA and protein are not well defined. In particular, the post-transcriptional regulation of Cry1 mRNA fate decisions is unclear. Here, we demonstrate that hnRNP Q binds to mCry1 mRNA via the 5&apos;UTR. Furthermore, hnRNP Q inhibits the translation of mCry1 mRNA, leading to altered rhythmicity in the mCRY1 protein profile.1145Ysciescopu