Comment on Universal Reduced Potential Function for Diatomic Systems

First principles prove why a recent claim by R.H. Xie and P.S. Hsu (Phys. Rev. Lett. 96, 243201 (2006)) on the scaling power of a covalent Sutherland parameter to expose a universal function cannot be validated.Comment: 1 page, at the UGent archive, 11 references, revised for publication in PR

Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases

This paper proposes two-stage hybrid feature selection algorithms to build the stable and efficient diagnostic models where a new accuracy measure is introduced to assess the models. The two-stage hybrid algorithms adopt Support Vector Machines (SVM) as a classification tool, and the extended Sequential Forward Search (SFS), Sequential Forward Floating Search (SFFS), and Sequential Backward Floating Search (SBFS), respectively, as search strategies, and the generalized F-score (GF) to evaluate the importance of each feature. The new accuracy measure is used as the criterion to evaluated the performance of a temporary SVM to direct the feature selection algorithms. These hybrid methods combine the advantages of filters and wrappers to select the optimal feature subset from the original feature set to build the stable and efficient classifiers. To get the stable, statistical and optimal classifiers, we conduct 10-fold cross validation experiments in the first stage; then we merge the 10 selected feature subsets of the 10-cross validation experiments, respectively, as the new full feature set to do feature selection in the second stage for each algorithm. We repeat the each hybrid feature selection algorithm in the second stage on the one fold that has got the best result in the first stage. Experimental results show that our proposed two-stage hybrid feature selection algorithms can construct efficient diagnostic models which have got better accuracy than that built by the corresponding hybrid feature selection algorithms without the second stage feature selection procedures. Furthermore our methods have got better classification accuracy when compared with the available algorithms for diagnosing erythemato-squamous diseases

Second Screen User Profiling and Multi-level Smart Recommendations in the context of Social TVs

In the context of Social TV, the increasing popularity of first and second screen users, interacting and posting content online, illustrates new business opportunities and related technical challenges, in order to enrich user experience on such environments. SAM (Socializing Around Media) project uses Social Media-connected infrastructure to deal with the aforementioned challenges, providing intelligent user context management models and mechanisms capturing social patterns, to apply collaborative filtering techniques and personalized recommendations towards this direction. This paper presents the Context Management mechanism of SAM, running in a Social TV environment to provide smart recommendations for first and second screen content. Work presented is evaluated using real movie rating dataset found online, to validate the SAM's approach in terms of effectiveness as well as efficiency.Comment: In: Wu TT., Gennari R., Huang YM., Xie H., Cao Y. (eds) Emerging Technologies for Education. SETE 201

Sur quelques Collemboles cavernicoles de l' Italie

Lors de la visite rapide que le Prof. Dr. Cándido Bolivar y Pieltain a faite aux cavernes du Carso à l'occasion du XIe Congrès International de Zoologie, il en a profité pour recueillir une petite collection de Collemboles cavernicoles dont il m'a confié l'étude et qui font l'objet de cette note.Peer reviewe

AUTOMATIC CLASSIFY PLACES BASED ON CONTENT-AWARE MECHANISMS

[[cooperationtype]]國外[[conferencetype]]國際[[conferencedate]]20150718~20150719[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]日本/東

HUMAN ADIPOSE-DERIVED STEM CELLS ATTENUATE CIGARETTE SMOKE INDUCED BONE MARROW HYPOPLASIA VIA SECRETION OF ANTI-INFLAMMATORY CYTOKINE TSG-6

poster abstractIntroduction We have previously observed bone marrow (BM) hypo-plasia in a murine model of chronic smoking, which was ameliorated by mu-rine adipose-derived stromal cells (ASC). This study was designed to test the hypothesis that ASC exert their marrow protective effects through key paracrine factors. Methods Mice (NSG or C57BL/6) were exposed to ciga-rette smoke (CS) for 1 day to 6 months. Human ASC or ASC conditioned media were administered through intravenous (i.v.) or intraperitoneal (i.p.) injections. Secretion of TSG-6 from ASC in response to TNF alpha and IL-1 beta were measured by ELISA. Expression of TSG-6 in ASC was knocked down by siRNA. BM hematopoietic progenitors were quantified by colony forming-unit assays. Possible engrafted human ASC in mouse BM were ex-amined by anti-human nuclei staining. Results The myelossupressive effect of cigarette smoking occurred acutely (1 day: 65.6% of nonsmoking control, NSC, p0.05) or ASC conditioned media (105.7% NSC, p>0.05). Inflammatory cytokines (TNF alpha and IL-1 beta) elevated in smokers (Kuschner et al, 1996; de Maat et al, 2002) demonstrated strong cross-species stimulatory effects on secretions of an anti-inflammatory cytokine, TSG-6 from ASC (TNF alpha: 8.7 +/- 1.3 fold, IL-1 beta: 8.2 +/- 1.1 fold). Knocking down TSG-6 (>90%) abolished the marrow-protective effect of ASC. No human cells were detected in recipient mouse bone marrow. Conclusions The pro-tective effects of ASC against smoking-induced myelosuppression are medi-ated by trophic factors rather than cell engraftment or differentiation. TSG-6 appears to play a significant role in the modulatory pathway: smoke--inflammatory cytokine release--TSG6 secretion from ASC--bone marrow protection

Complete gradient-LC-ESI system on a chip for protein analysis

This paper presents the first fully integrated gradient-elution liquid chromatography-electrospray ionization (LC-ESI) system on a chip. This chip integrates a pair of high-pressure gradient pumps, a sample injection pump, a passive mixer, a packed separation column, and an ESI nozzle. We also present the successful on-chip separation of protein digests by reverse phase (RP)-LC coupled with on-line mass spectrometer (MS) analysis

UC-26 Pose Extraction for Real-time Workout Assist_Capstone Group_W01_Spring Semester

Motion Intelligence Research Project We installed and tested many existing pose extraction technologies in many situations. We provided reports on the different software solutions and decided on a single solution that performed the best. We will extract key-points and track the movements across multiple dimensions. We will demonstrate the X and Y movements of everyone for our chosen software solution in a Business Intelligent tool (PowerBI). Given the current epidemic, we are not going to be able to compare against the professional KinaTrax software on campus. Although, Dr. Xie has given us other software packages to compare our given software solution against. We will compare the accuracy, speed, and performance of these solutions against ours and demonstrate the differences in our Business Intelligent tool (powerBI). We will them compile all our findings in a PowerPoint presentation and Final Project Package. We hope our findings will assist in Motion intelligence and body tracking research and development.Advisors(s): Dr. Ying Xie & Dr. Linh Le Dr. John Johnson – Exercise ScienceTopic(s): Artificial IntelligenceIT498

Beyond Lithium Ion: Lithium Metal Batteries with High Specific Energy and Long Cycle Life

The lithium ion battery industry has been rapidly growing and now dominating in many power source sectors such as automotive industries, portable devices, and aerospace applications. Lithium ion batteries currently being implemented in electric vehicle (EV) and hybrid electric vehicle (HEV) are not efficient enough to outperform gas combustion vehicles on the road today, which is limited by the theoretical specific energy of cathode (intercalation oxides) and anode (graphite) materials for lithium ion batteries. The next phase in the advancement of the lithium battery technology relies very much on replacing the intercalation electrodes which has limited theoretical specific capacity. Metallic lithium is a good candidate for the anode, since it has a very high theoretical specific capacity which is more than 10 times than graphite. However, the formation of dendrites affects the charge efficiency of this type of electrode, which can be very dangerous, even fatal at time. In our approach, functionalized carbon black (FCB) coating was implemented onto the separator to eliminate the hazard of dendrite formation. Furthermore, the lithium metal batteries with our technology offered much higher specific energy and power, and improved cycle life