Miracle-dz/UniFAR-FTUs huggingface dataset:
Polymethylmethacrylate microspheres/collagen as a tissue augmenting agent: personal experience over 5 years.

BACKGROUND Polymethylmethacrylate microspheres/collagen has been used in Canada since 1998. A closely related product will probably be approved in the United States shortly. Concerns have been expressed about the use of permanent fillers such as this. OBJECTIVE This retrospective study of the authors' clinical practice is designed to reflect their experience with this agent. In particular, the authors describe some of the problems they have seen. RESULTS Polymethylmethacrylate microspheres/collagen has behaved as a satisfactory long-term tissue augmenting agent in the authors' practice. They have had the opportunity of managing any number of patients with Artecoll granulomas and describe these patients. CONCLUSION When polymethylmethacrylate microspheres/collagen is introduced to the United States, practitioners will need to learn how to use this exacting agent and will obtain excellent results with careful use.
LTE-advanced downlink throughput evaluation in the 3G and TV white space bands

To maintain a high quality of service to the increasing number of smartphone users, additional spectrum is required. The TV white space bands provide a good opportunity to achieve this goal. They can be used as standalone spectrum or aggregated with other licensed bands to increase the total available bandwidth. This paper compares the downlink throughput performance of LTE-Advanced in two different frequency bands. It also addresses the impact of smartphone orientation, with results quoted for three different elevation angles. We consider the higher LTE-Advanced band at 2.6 GHz and the TV white space band at 800 MHz. The radio channel is modelled using a state-of-the-art 3D ray-tracing tool combined with measured 3D radiation patterns for the base station and handset antennas. The throughput performance for a large number of base station and mobile terminal locations is investigated in two different UK cities. We use the computationally efficient received bit information rate algorithm to compute packet error rate as a function of channel structure and SNR. The approach reduces simulation run time by a factor of more than 300. Similar average throughput vs SNR results are observed in both frequency bands. However, higher K-factor and total received power levels are observed when the user equipment is tilted to 45o in elevation. Throughput results show that the efficiency of carrier aggregation between LTE and TVWS bands depends on the cell size and the type of urban environment.
Evolving ANNs for Spacecraft Rendezvous and Docking

We here approach the problem of designing a controller for automatic rendezvous and docking (AR&D). As a first step towards a fully reactive neurocontroller (based on state feedback), an artificial neural network is trained offline by a fitness based genetic algorithm to fulfill the docking task. Its performance using one specific docking case, with fixed initial and boundary conditions, is compared to a numerical solution of the corresponding optimal control problem. The concept of a “stop-neuron” is introduced here to the neurocontroller for the first time to co-evolve the time taken to achieve the desired docking position.
BER Analysis and Optimization of Generalized Spatial Modulation in Correlated Fading Channels

We propose and analyze a generalized spatial mod- ulation scheme, where depending on the bits to be transmitted a certain data symbol as well as a certain beamforming vector is chosen. The receiver then has to estimate both the used beamforming vector and the transmitted data symbol for being able to reconstruct the originally transmitted bit sequence. We analyze our scheme theoretically by deriving a very tight upper bound on the average bit error rate (BER) for arbitrary symbol constellations and beamforming codebooks in correlated Rayleigh fading channels. Based on this bound, we determine a design criterion for optimizing the used beamforming codebook in presence of spatial correlation at the transmitter-side. Simulation results are shown to be in excellent agreement with our analytical calculated BERs and they illustrate the significant performance gains that can be obtained with our generalized scheme compared to conventional spatial modulation.
Automatically Detecting Acute Myocardial Infarction Events from EHR Text: A Preliminary Study

The Worcester Heart Attack Study (WHAS) is a population-based surveillance project examining trends in the incidence, in-hospital, and long-term survival rates of acute myocardial infarction (AMI) among residents of central Massachusetts. It provides insights into various aspects of AMI. Much of the data has been assessed manually. We are developing supervised machine learning approaches to automate this process. Since the existing WHAS data cannot be used directly for an automated system, we first annotated the AMI information in electronic health records (EHR). With strict inter-annotator agreement over 0.74 and un-strict agreement over 0.9 of Cohen's κ, we annotated 105 EHR discharge summaries (135k tokens). Subsequently, we applied the state-of-the-art supervised machine-learning model, Conditional Random Fields (CRFs) for AMI detection. We explored different approaches to overcome the data sparseness challenge and our results showed that cluster-based word features achieved the highest performance.
On the Power of Symmetric LP and SDP Relaxations

We study the computational power of general symmetric relaxations for combinatorial optimization problems, both in the linear programming (LP) and semidefinite programming (SDP) case. We show new connections to explicit LP and SDP relaxations, like those obtained from standard hierarchies. Concretely, for k <; n/4, we show that k-rounds of sum-of squares / Lasserre relaxations of size k(kn) achieve best-possible k approximation guarantees for Max CSPs among all symmetric SDP relaxations of size at most (kn). This result gives the first k lower bounds for symmetric SDPrelaxations of Max CSPs, and indicates that the sum-of-squares method provides the “right” SDP relaxation for this class of problems. Moreover, for k <; n/4, we show the existence of symmetric LP relaxations of size O(n2k) for the traveling salesman problem that achieve per instance best-possible approximation (kn).
Outage probability analysis of a MIMO relay channel with orthogonal space-time block codes

We investigate the performance of a cooperative multiple-input multiple-output (MIMO) relay channel in which the source and relay use the same orthogonal space-time block code (OSTBC) for transmission whereas the relay and destination use maximum-ratio-combining (MRC) for reception. Considering that perfect channel state information is available at the relay and destination, we derive a closed-form expression for the outage probability of the destination signal-to-noise ratio (SNR) in terms of the confluent hypergeometric function of two variables in a Rayleigh flat-fading environment. The validity of the closed-form expression is confirmed with the numerical results.
Unobtrusive online monitoring of sleep at home

We describe an online sleep monitoring service, based on unobtrusive ballistocardiography (BCG) measurement in an ordinary bed. The novelty of the system is that the sleep tracking web application is based on measurements from a fully unobtrusive sensor. The BCG signal is measured with a piezoelectric film sensor under the mattress topper, and sent to the web server for analysis. Heart rate and respiratory variation, activity, sleep stages, and stress reactions are inferred based on the signal. The sleep information is presented to the user along with measurements of the sleeping environment (temperature, noise, luminosity) and user-logged tags (e.g. stress, alcohol, exercise). The approach is designed for long-term use at home, allowing users to follow the development of their sleep over months and years. The service has also a medical use, as sleep disorder patients can be measured for long periods before and after interventions.
IRecogniseYoubut ICan't PlaceYou: AnInvestigationofFamiliar-onlyExperiences duringTestsof VoiceandFaceRecognition

In this paper, we examine in detail the situation in which a subject ® nds that a face or voice is familiar but is unable to retrieve any biographical information about the person concerned. In two experiments, subjects were asked to identify a set of 40 celebrities either from hearing their voice or from seeing their face. Although many more celebrities were identi® ed and named in response to their face than their voice, the results showed that there was avery large number of occasions when a celebrity’s voicewas felt to be familiar but the subject was unable to retrieve any biographical information about the person. This situation occurred less frequently in response to seeing a celebrity’s face; when a face was found familiar, the subject was much more likely to be able to recall the celebrity’s occupation. The possibility that these results might have come about because subjects were using different criteria to determine familiarity in the face and voice conditions was investigated and discounted. An additional ® nding was that when subjects found a face to be familiar-only, they were able to recall signi® cantly more additional information about the person when they were cued by the person’s voice than when they simply saw the face again. These results are discussed in relation to the models of person recognition put forward by Bruce and Young (1986) and Burton, Bruce, and Johnston (1990).
An IEEE 802.15.6 Standard Compliant 2.5 nJ/Bit Multiband WBAN Transmitter Using Phase Multiplexing and Injection Locking

This paper describes an 802.15. 6 compliant 2360-2484 MHz multiband transmitter that digitally multiplexes the appropriate phases from an 800 MHz poly-phase filter output to generate π/4 DQPSK signals at 2.4 GHz using injection locking. Modulation at one-third the RF frequency reduces the transmitter power consumption and enables channel selection using an integer-N PLL running at 800 MHz. The modulation technique does not require phase calibration and resolves the problems of traditional injection lock based modulators. The prototype transmitter consumes 2.4 mW while delivering -10 dBm RF power at the TX output resulting in an energy efficiency of 2.5 nJ/bit at 1.2 Mbps raw data rate. The measured RMS EVM for π/4 DQPSK modulation is 3.21%.
Isolation of a glucan-binding domain of glucosyltransferase (1,6-alpha-glucan synthase) from Streptococcus sobrinus

A glucan-binding domain of 1,6-alpha-glucan synthase (dextransucrase) (GTF-S) was isolated from a trypsin digest of the Streptococcus sobrinus enzyme. The large 60.5-kilodalton peptide had an affinity for dextran comparable to that of the native enzyme, but had no glucan synthesis activity. The domain was produced in high yield compared with other large cleavage products, which allowed easy purification by size exclusion high-pressure liquid chromatography and affinity chromatography. Two other proteases (mouse submaxillaris protease and lysyl endopeptidase) with specificities similar to trypsin generated a distribution of GTF-S peptides that was also greatly enriched in the glucan-binding peptide. Proteases with markedly different specificities (chymotrypsin and Staphylococcus aureus V8 protease) produced a family of peptides with some evidence of the glucan-binding domain but in far lower yield. The tertiary structure of the domain was critical to its resistance to proteolysis; heat denaturation of GTF-S before trypsin digestion resulted in cleavage of the enzyme to small limit peptides leaving no evidence of the glucan-binding domain. The amino acid composition of the peptide was very similar to that of the native enzyme. The common occurrence of proteases in oral streptococcus cultures and reports of glucosyltransferase degradation during purification and storage raises the possibility that some accounts of glucan-binding receptors are peptides derived from glucosyltransferase. Kinetic implications of a glucan-binding domain are discussed.
A universal CMOS voltage interface circuit

A CMOS interface circuit to transfer a digital signal between two circuits of different supply voltages is described. The interface can be used, for example, between 3 volt and 5 volt or higher voltage families. The principal characteristics of the interface circuit are: no static power dissipation, high speed, and high speed buffering.
Chamber studies of SOA formation from aromatic hydrocarbons: observation of limited glyoxal uptake

Abstract. This study evaluates the significance of glyoxal acting as an intermediate species leading to secondary organic aerosol (SOA) formation from aromatic hydrocarbon photooxidation under humid conditions. Rapid SOA formation from glyoxal uptake onto aqueous (NH4)2SO4 seed particles is observed in agreement with previous studies; however, glyoxal did not partition significantly to SOA (with or without aqueous seed) during aromatic hydrocarbon photooxidation within an environmental chamber (RH less than 80%). Rather, glyoxal influences SOA formation by raising hydroxyl (OH) radical concentrations. Four experimental approaches supporting this conclusion are presented in this paper: (1) increased SOA formation and decreased SOA volatility in the toluene + NOx photooxidation system with additional glyoxal was reproduced by matching OH radical concentrations through H2O2 addition; (2) glyoxal addition to SOA seed formed from toluene + NOx photooxidation did not increase SOA volume under dark; (3) SOA formation from toluene + NOx photooxidation with and without deliquesced (NH4)2SO4 seed resulted in similar SOA growth, consistent with a minor contribution from glyoxal uptake onto deliquesced seed and organic coatings; and (4) the fraction of a C4H9+ fragment (observed by Aerodyne High Resolution Time-of-Flight Aerosol Mass Spectrometer, HR-ToF-AMS) in SOA from 2-tert-butylphenol (BP) oxidation was unchanged in the presence of additional glyoxal despite enhanced SOA formation. This study suggests that glyoxal uptake onto aerosol during the oxidation of aromatic hydrocarbons is more limited than previously thought.
Phytoremediation of fuel oil and lead co-contaminated soil by Chromolaena odorata in association with Micrococcus luteus

ABSTRACT Phytoremediation is widely promoted as a cost-effective technology for treating heavy metal and total petroleum hydrocarbon (TPH) co-contaminated soil. This study investigated the concurrent removal of TPHs and Pb in co-contaminated soil (27,000 mg kg−1 TPHs, 780 mg kg−1 Pb) by growing Siam weed (Chromolaena odorata) in a pot experiment for 90 days. There were four treatments: co-contaminated soil; co-contaminated soil with C. odorata only; co-contaminated soil with C. odorata and Micrococcus luteus inoculum; and co-contaminated soil with M. luteus only. C. odorata survived and grew well in the co-contaminated soil. C. odorata with M. luteus showed the highest Pb accumulation (513.7 mg kg−1) and uptake (7.7 mg plant−1), and the highest reduction percentage of TPHs (52.2%). The higher TPH degradation in vegetated soils indicated the interaction between the rhizosphere microorganisms and plants. The results suggested that C. odorata together with M. luteus and other rhizosphere microorganisms is a promising candidate for the removal of Pb and TPHs in co-contaminated soils.
NSF-KITP-2005-54 NA-DSF-32-2005 ROM 2 F / 2005 / 16 Bulk Dynamics in Confining Gauge Theories

We consider gauge/string duality (in the supergravity approximation) for confining gauge theories. The system under scrutiny is a 5-dimensional consistent truncation of type IIB supergravity obtained using the Papadopoulos-Tseytlin ansatz with boundary momentum added. We develop a gauge-invariant and sigma-modelcovariant approach to the dynamics of 5-dimensional bulk fluctuations. For the Maldacena-Nunez subsystem, we study glueball mass spectra. For the KlebanovStrassler subsystem, we compute the linearized equations of motion for the 7-scalar system, and show that a 3-scalar sector containing the scalar dual to the gluino bilinear decouples in the UV. We solve the fluctuation equations exactly in the ”moderate UV” approximation and check this approximation numerically. Our results demonstrate the feasibility of analyzing the generally coupled equations for scalar bulk fluctuations, and constitute a step on the way towards computing correlators in confining gauge theories.
Interaction between γ-Aminobutyric Acid A Receptor Genes: New Evidence in Migraine Susceptibility

Migraine is a common neurological episodic disorder with a female-to-male prevalence 3- to 4-fold higher, suggesting a possible X-linked genetic component. Our aims were to assess the role of common variants of gamma-aminobutyric acid A receptor (GABAAR) genes, located in the X-chromosome, in migraine susceptibility and the possible interaction between them. An association study with 188 unrelated cases and 286 migraine-free controls age- and ethnic matched was performed. Twenty-three tagging SNPs were selected in three genes (GABRE, GABRA3 and GABRQ). Allelic, genotypic and haplotypic frequencies were compared between cases and controls. We also focused on gene-gene interactions. The AT genotype of rs3810651 of GABRQ gene was associated with an increased risk for migraine (OR: 4.07; 95% CI: 1.71-9.73, p=0.002), while the CT genotype of rs3902802 (OR: 0.41; 95% CI: 0.21-0.78, p=0.006) and GA genotype of rs2131190 of GABRA3 gene (OR: 0.53; 95% CI: 0.32-0.88, p=0.013) seem to be protective factors. All associations were found in the female group and maintained significance after Bonferroni correction. We also found three nominal associations in the allelic analyses although there were no significant results in the haplotypic analyses. Strikingly, we found strong interactions between six SNPs encoding for different subunits of GABAAR, all significant after permutation correction. To our knowledge, we show for the first time, the putative involvement of polymorphisms in GABAAR genes in migraine susceptibility and more importantly we unraveled a role for novel gene-gene interactions opening new perspectives for the development of more effective treatments.
Granular Radio EnErgy-sensing Node (GREEN): A 0.56 cm3 wireless stick-on node for non-intrusive energy monitoring

We present an ultra-small wireless sensor node that can be effortlessly attached onto existing electric circuits for real-time energy monitoring systems. Called Granular Radio EnErgy-sensing Node (GREEN), this platform contains an Atmel 2564RFR2 microcontroller with an internal Zigbee-compatible radio transceiver, a battery unit, and an integrated a GMR magnetic sensor to non-intrusively monitor loads on circuits such as e.g. residential circuit breaker panels. The GREEN device is smaller, and can be installed at a lower cost than previously proposed solutions, and can be placed in a configuration that enables self-calibration. The device may also be used in a wide variety of other wireless sensing applications where small size and low power consumption are important.
The Symbolic OBDD Algorithm for Finding Optimal Semi-matching in Bipartite Graphs

The optimal semi-matching problem is one relaxing form of the maximum cardinality matching problems in bipartite graphs, and finds its applications in load balancing. Ordered binary decision diagram (OBDD) is a canonical form to represent and manipulate Boolean functions efficiently. OBDD-based symbolic algorithms appear to give improved results for large-scale combinatorial optimization problems by searching nodes and edges implicitly. We present novel symbolic OBDD formulation and algorithm for the optimal semi-matching problem in bipartite graphs. The symbolic algorithm is initialized by heuristic searching initial matching and then iterates through generating residual network, building layered network, backward traversing node-disjoint augmenting paths, and updating semi-matching. It does not require explicit enumeration of the nodes and edges, and therefore can handle many complex executions in each step. Our simulations show that symbolic algorithm has better performance, especially on dense and large graphs.
Targeting membrane heat-shock protein 70 (Hsp70) on tumors by cmHsp70.1 antibody

Immunization of mice with a 14-mer peptide TKDNNLLGRFELSG, termed “TKD,” comprising amino acids 450–461 (aa450–461) in the C terminus of inducible Hsp70, resulted in the generation of an IgG1 mouse mAb cmHsp70.1. The epitope recognized by cmHsp70.1 mAb, which has been confirmed to be located in the TKD sequence by SPOT analysis, is frequently detectable on the cell surface of human and mouse tumors, but not on isogenic cells and normal tissues, and membrane Hsp70 might thus serve as a tumor-specific target structure. As shown for human tumors, Hsp70 is associated with cholesterol-rich microdomains in the plasma membrane of mouse tumors. Herein, we show that the cmHsp70.1 mAb can selectively induce antibody-dependent cellular cytotoxicity (ADCC) of membrane Hsp70+ mouse tumor cells by unstimulated mouse spleen cells. Tumor killing could be further enhanced by activating the effector cells with TKD and IL-2. Three consecutive injections of the cmHsp70.1 mAb into mice bearing CT26 tumors significantly inhibited tumor growth and enhanced the overall survival. These effects were associated with infiltrations of NK cells, macrophages, and granulocytes. The Hsp70 specificity of the ADCC response was confirmed by preventing the antitumor response in tumor-bearing mice by coinjecting the cognate TKD peptide with the cmHsp70.1 mAb, and by blocking the binding of cmHsp70.1 mAb to CT26 tumor cells using either TKD peptide or the C-terminal substrate-binding domain of Hsp70.
A Method of Ontology Mapping Based on Subtree Kernel

In semantic web, ontology mapping is the basis of the interoperation of heterogeneous ontologies. Ontologies are usually distributed and heterogeneous and thus it is necessary to find the mapping between them before processing across them. The current ontology mapping methods mainly make the contribution of adjacent nodes into consideration but merely use the characteristic of substructure. This paper proposes a method of ontology mapping based on subtree kernel which uses the influence of substructure to node's similarity and adjusts the similarity with hyponymy or hypernymy relation of WordNet; We evaluate our approach with experiments which demonstrate that our solution yields a higher accuracy and recall.
Parameters Selection and Stability Analysis of Invariant Visual Servoing with Weighted Features

This paper concerns the continuity of vision based robot control law. Recently, we have proposed a way of allowing the temporary disappearance of image features during the control task based on weighted features. Futher more, we have redefined the camera invariant visual servoing approach in order to take into account the change of image features when zooming in or out during a positioning task. In this paper, we study ho to select some parameters of the weight function and we propose a local stability analysis of the invariant visual servoing approach with weighted features. Finally, experimental results demonstrate the improvements that can be achieved in the performance of vision-based control task.