gebhart/patrepeval huggingface dataset:
An Individualized, Data-Driven Digital Approach for Precision Behavior Change (2019)

Chronic disease now affects approximately half of the US population, causes 7 in 10 deaths, and accounts for roughly 80% of US health care expenditure. Because the root causes of chronic diseases are largely behavioral, effective therapies require frequent, individualized interventions that extend beyond the hospital and clinic to reach patients in their day-to-day lives. However, a mismatch currently exists between what the health care system is equipped to provide and the interventions necessary to effectively address the chronic disease burden. To remedy this health crisis, we present an individualized, data-driven digital approach for chronic disease management and prevention through precision behavior change. The rapid growth of information, biological, and communication technologies makes this an opportune time to develop digital tools that deliver precision interventions for health behavior change to address the chronic disease crisis. Building on this rapid growth, we propose a framework that includes the precise targeting of risk-producing behaviors using real-time sensing technology, machine learning data analysis to identify the most effective intervention, and delivery of that intervention with health-reinforcing feedback to provide real-time, individualized support to empower sustainable health behavior change.
Desmosomal gene analysis in arrhythmogenic right ventricular dysplasia/cardiomyopathy: spectrum of mutations and clinical impact in practice (2010)

This study supports the use of genetic testing as a new diagnostic tool in ARVC/D and also suggests a prognostic impact, as the severity of the disease appears different according to the underlying gene or the presence of multiple mutations.
Co-contraction of antagonist muscles during knee extension against gravity: Insights for functional electrical stimulation control design (2012)

Functional electrical stimulation (FES) involves electrically stimulating the neuromuscular system to generate skeletal muscle contractions in paralyzed muscles. Several new FES applications have been proposed that require closed-loop control systems. Co-contraction of antagonist muscle groups has been postulated as a promising approach for closed-loop control of FES systems. However, this control approach has not yet been used in practical FES applications, in part due to a lack of information concerning how able-bodied subjects use co-contraction of antagonist muscles during standard control tests such as unit step and sinusoidal responses. The purpose of this work is to elucidate how able-bodied individuals use co-contraction by analyzing the EMG activity of antagonist muscles during voluntary knee extension against gravity. The results clearly demonstrate that able-bodied subjects use a co-contraction strategy when executing standard control performance tests, and strengthen the argument for using a co-contraction strategy for closed-loop FES control algorithms. These data will inform the development of new and effective controllers for FES applications.
SPECTRAL CLUSTERING FOR BEAM-FREE SATELLITE COMMUNICATIONS (2018)

This paper introduces the notion of beam-free satellite systems and it investigates different scheduling algorithms for this architecture.<br> Attending to the current satellite gateway cloudification, this paper assumes that users from different beams can be scheduled over the same frame. Indeed, considering full frequency reuse among beams and on ground precoding, we show that whenever the scheduler is able to freely group users independently of their beam location, large attainable rates are obtained. In addition, we also consider that the gateway is able to select a number of simultaneous transmissions which leads to a substantial sum-rate increase. A scheduling scheme based on spectral clustering is proposed and it shows a higher performance compared to other state-of-the-art alternatives. In addition, our method is able to deal with different user terminal traffic classes.<br> Based on the numerical results obtained considering a close-to-real multibeam satellite pattern, we point out that the current per-beam scheduling process is an inefficient network management for multibeam satellite systems using precoding.
Robert Lowell’s “common novel plot”: Names, Naming, and Polyphony in The Dolphin (2014)

Even before its publication in 1973, Robert Lowell’s The Dolphin was a controversial collection, and it has continued to be a focus of debate. The book’s subject matter is not the issue, since it is, as Lowell himself notes, “the common novel plot” of “one man, two women” (Dolphin 48). Essentially, the poems record Lowell’s difficult transition from one marriage to another, from marriage to Elizabeth Hardwick (called “Lizzie” in the poems) to Caroline Blackwood. The criticism, which, as the Ian Hamilton and Paul Mariani biographies reveal, enveloped friend and foe alike, polarized around two related issues. The first entailed the use of names of actual people (Caroline, Lizzie, and daughter Harriet). Not only were Lowell’s, Hardwick’s, and Blackwood’s friends and acquaintances to be privy to this marital drama, the wider reading audience was now to be allowed a window into the houses and bedrooms of the unofficial Poet Laureate.
Supplemental doc from Mastermind-Like 3 Controls Proliferation and Differentiation in Neuroblastoma (2023)

&lt;p&gt;Supplementary method, Supplementary figures and supplementary figure legends: Supplementary Figure 1. Viral VBIM integration site in MAML3 gene and equal sensitivity to cisplatin of parental and SD3.23 cells. Supplementary Figure 2. Overexpression of MAML3, but not MAML1 and MAML2, mediates resistance to retinoic acid in multiple neuroblastoma cell lines. Supplementary Figure 3. Induction of neuronal markers upon RA treatment is decreased in MAML3 overexpressing cells. Supplementary Figure 4. MAML3 binds to RXR. Supplementary Figure 5. IGF2 is upregulated in MAML3 overexpressing cells and results in hyperproliferation, but not RA resistance.&lt;/p&gt;
Discriminative Deep Audio Feature Embedding for Speaker Recognition in the Wild (2018)

In this paper we face the problem of speaker recognition in the wild. We tackle the speaker identification and verification problems with the use of Deep Convolutional Neural Networks (CNN). We propose the modification of two Residual CNN architectures (ResNet) in order to be used with the spectrograms of the audio data as input images. The proposed architectures, trained with a contrastive-center loss, have been tested on the VoxCeleb and SIWIS datasets on both the speaker identification and verification tasks. The experimental results show the effectiveness of the proposed solution with respect to the state of the art. The proposed network shows to be robust in unconstrained conditions and, more important, it shows to be quite robust in a multilingual scenario.
Reliability Assessment of an Unscented Kalman Filter by Using Ellipsoidal Enclosure Techniques (2022)

The Unscented Kalman Filter (UKF) is widely used for the state, disturbance, and parameter estimation of nonlinear dynamic systems, for which both process and measurement uncertainties are represented in a probabilistic form. Although the UKF can often be shown to be more reliable for nonlinear processes than the linearization-based Extended Kalman Filter (EKF) due to the enhanced approximation capabilities of its underlying probability distribution, it is not a priori obvious whether its strategy for selecting sigma points is sufficiently accurate to handle nonlinearities in the system dynamics and output equations. Such inaccuracies may arise for sufficiently strong nonlinearities in combination with large state, disturbance, and parameter covariances. Then, computationally more demanding approaches such as particle filters or the representation of (multi-modal) probability densities with the help of (Gaussian) mixture representations are possible ways to resolve this issue. To detect cases in a systematic manner that are not reliably handled by a standard EKF or UKF, this paper proposes the computation of outer bounds for state domains that are compatible with a certain percentage of confidence under the assumption of normally distributed states with the help of a set-based ellipsoidal calculus. The practical applicability of this approach is demonstrated for the estimation of state variables and parameters for the nonlinear dynamics of an unmanned surface vessel (USV).
Targeting Protein Interaction Hotspots Using Structured and Disordered Chimeric Peptide Inhibitors (2022)

The main challenge in inhibiting protein-protein interactions (PPI) for therapeutic purposes is designing molecules that bind specifically to the interaction hotspots. Adding to the complexity, such hotspots can be within both structured and disordered interaction interfaces. To address this, we present a strategy for inhibiting the structured and disordered hotspots of interactions using chimeric peptides that contain both structured and disordered parts. The chimeric peptides we developed are comprised of a cyclic structured part and a disordered part, which target both disordered and structured hotspots. We demonstrate our approach by developing peptide inhibitors for the interactions of the antiapoptotic iASPP protein. First, we developed a structured, α-helical stapled peptide inhibitor, derived from the N-terminal domain of MDM2. The peptide bound two hotspots on iASPP at the low micromolar range and had a cytotoxic effect on A2780 cancer cells with a half-maximal inhibitory concentration (IC<sub>50</sub>) value of 10 ± 1 μM. We then developed chimeric peptides comprising the structured stapled helical peptide and the disordered p53-derived LinkTer peptide that we previously showed to inhibit iASPP by targeting its disordered RT loop. The chimeric peptide targeted both structured and disordered domains in iASPP with higher affinity compared to the individual structured and disordered peptides and caused cancer cell death. Our strategy overcomes the inherent difficulty in inhibiting the interactions of proteins that possess structured and disordered regions. It does so by using chimeric peptides derived from different interaction partners that together target a much wider interface covering both the structured and disordered domains. This paves the way for developing such inhibitors for therapeutic purposes.
A silver-inserted zinc rhodium oxide and bismuth vanadium oxide heterojunction photocatalyst for overall pure-water splitting under red light (2015)

We have prepared a solid-state heterojunction photocatalyst, in which zinc rhodium oxide (ZnRh<sub>2</sub>O<sub>4</sub>) and bismuth vanadium oxide (Bi<sub>4</sub>V<sub>2</sub>O<sub>11</sub>) as hydrogen (H<sub>2</sub>) and oxygen (O<sub>2</sub>) evolution photocatalysts, respectively, were connected with silver (Ag, ZnRh<sub>2</sub>O<sub>4</sub>/Ag/Bi<sub>4</sub>V<sub>2</sub>O<sub>11</sub>).
Selective, non-covalent conjugation of synthetic peptides with recombinant proteins mediated by host–guest chemistry (2016)

The combination of potent chemical moieties with biologically active proteins is key to some of today's most innovative therapeutic drugs. In order to obviate any chemical modification of the proteins, we present a novel and powerful strategy for the selective conjugation of recombinant protein domains with synthetically derived peptides via a cucurbit[8]uril host-guest chemistry approach.
REACTIVE FORCE FIELDS FOR Y-DOPED BaZrO3 ELECTROLYTE AND NI-ANODE. POTENTIAL CATHODE MATERIALS FOR APPLICATION IN PROTON CERAMIC FUEL CELLS (2004)

Based on quantum mechanical data obtained for the Y-doped BaZrO{sub 3} electrolyte and Ni-anode Reactive Force Field parameters have been developed for further molecular dynamics simulations of the proton diffusion and electrode/electrolyte interfaces. Electronic and atomic structures of different terminations of the (001) BaZrO{sub 3} surface have been studied using first-principles calculations. Several potential cathode materials for the Y-doped BaZrO{sub 3} system were synthesized via glycine nitrate combustion method. Of the five potential cathode materials examined BaZr{sub 0.40}Pr{sub 0.40}Gd{sub 0.20}O{sub 3} and BaZr{sub 0.60}Y{sub 0.20}Co{sub 0.20}O{sub 3} appear to be the most promising for further applications in proton ceramic fuel cells. Fuel cell test of a Y-doped BaZrO{sub 3} thin film using platinum ink for both electrodes have been performed. The obtained results shows that a robust method for fabricating crack-free thin membranes, as well as methods for sealing anode and cathode chambers, have successfully been developed.
Transcranial threshold of inertial cavitation induced by diagnostic ultrasound and microbubbles (2012)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Jinjin Liu, Shunji Gao, Thomas Porter, Carr Everbach, William Shi, Francois Vignon, Jeffry Powers, John Lof, Joseph Turner, Feng Xie; Transcranial threshold of inertial cavitation induced by diagnostic ultrasound and microbubbles. AIP Conference Proceedings 3 October 2012; 1481 (1): 221–226. https://doi.org/10.1063/1.4757338 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
The development of a sustainable-construction planning system (2012)

Since construction is considered as one of the main sources of environmental pollution in the world, the level of knowledge and awareness of project participants, especially project managers, regarding the construction impacts on the environment are required to be enhanced. The aim of this paper is to develop a prototype of a Sustainable-Construction Planning System (SCPS) in order to mitigate the negative impacts of the construction industry on the environment. To achieve this aim, frequency and severity of known environmental impacts of construction process of residential buildings were investigated through interviews with a safety expert panel in Malaysia. Then, risk level associated with each environmental impact was calculated based on the relevant risk matrix. The SCPS extracts current construction activities from any computer-based schedule (Microsoft Project® in this study) and identifies sustainable strategies, and environmental impacts related to each activity as a report. The SCPS was presented to an expert panel who was asked to assess the reliability and usability of the SCPS. It can be concluded that the SCPS is efficient and helpful in mitigating construction related impacts on the environment. The practical implication of this study is to promote sustainable construction by promoting the project participants' knowledge and awareness of significant environmental impacts related to construction operations. This study could be a platform for developing automated sustainable planning systems that can be used broadly in construction projects.
Understanding Calcium-Mediated Adhesion of Nanomaterials in Reservoir Fluids by Insights from Molecular Dynamics Simulations (2019)

Interest in nanomaterials for subsurface applications has grown markedly due to their successful application in a variety of disciplines, such as biotechnology and medicine. Nevertheless, nanotechnology application in the petroleum industry presents greater challenges to implementation because of the harsh conditions (i.e. high temperature, high pressure, and high salinity) that exist in the subsurface that far exceed those present in biological applications. The most common subsurface nanomaterial failures include colloidal instability (aggregation) and sticking to mineral surfaces (irreversible retention). We previously reported an atomic force microscopy (AFM) study on the calcium-mediated adhesion of nanomaterials in reservoir fluids (S. L. Eichmann and N. A. Burnham, Sci. Rep. 7, 11613, 2017), where we discovered that the functionalized and bare AFM tips showed mitigated adhesion forces in calcium ion rich fluids. Herein, molecular dynamics reveal the molecular-level details in the AFM experiments. Special attention was given to the carboxylate-functionalized AFM tips because of their prominent ion-specific effects. The simulation results unambiguously demonstrated that in calcium ion rich fluids, the strong carboxylate-calcium ion complexes prevented direct carboxylate-calcite interactions, thus lowering the AFM adhesion forces. We performed the force measurement simulations on five representative calcite crystallographic surfaces and observed that the adhesion forces were about two to three fold higher in the calcium ion deficient fluids compared to the calcium ion rich fluids for all calcite surfaces. Moreover, in calcium ion deficient fluids, the adhesion forces were significantly stronger on the calcite surfaces with higher calcium ion exposures. This indicated that the interactions between the functionalized AFM tips and the calcite surfaces were mainly through carboxylate interactions with the calcium ions on calcite surfaces. Finally, when analyzing the order parameters of the tethered functional groups, we observed significantly different behavior of the alkanethiols depending on the absence or presence of calcium ions. These observations agreed well with AFM experiments and provided new insights for the competing carboxylate/calcite/calcium ion interactions.
The characterization of isobaric product ions of fentanyl using multi‐stage mass spectrometry, high‐resolution mass spectrometry and isotopic labeling (2020)

This study uses a combination of multi-stage mass spectrometry (MS<sup>n</sup> ), accurate mass measurements - with high-resolution mass spectrometry (HRMS) - and isotopic labeling to characterize the fragmentation behavior of fentanyl and 4-ANPP. By understanding the fragmentation behavior of fentanyl and its analogs in more detail, toxicologists and seized drug analysts will be better poised to identify new and emerging fentalogs, which are increasingly common and deadly adulterants in the growing opioid crisis. Throughout the literature the product ion at m/z 188 is often the most abundant fragment in the mass spectrometric analysis of fentanyl and fentanyl analogs, and this fragment is used for both qualitative and quantitative determinations. Our work shows there are at least three different structures for the isobaric fentanyl product ions at m/z 188, and they each form and fragment via different pathways. The development of fragmentation mechanisms to explain the observed fragmentation pathways of fentanyl and its main precursor 4-ANPP helps contribute to the advancement of knowledge about fentanyl fragmentation and could provide important information for the identification of future fentanyl analogs.
Applications of nanofibrillated cellulose in polymer composites (2012)

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A 10-mW 435-MHz differential CMOS LNA for low-IF receivers in space applications (2003)

A low-power 435 MHz differential low-noise amplifier with on-chip spiral inductors was implemented in a 0.5 /spl mu/m standard CMOS process. The LNA is intended for use in a low-power low-IF receiver under development for deep space communication. A current reuse technique is employed for low-power operation. Low-noise layout techniques are used to improve the noise performance. Design trade-offs to achieve low-power and low-noise at UHF frequencies are addressed. The LNA has a noise figure of 0.94 dB, input 1 dB compression point of -32 dBm, input third-order intercept point of -27 dBm and forward gain of 25 dB. The active area of the LNA is 1.3 mm/spl times/1.1 mm.
Persistence and adverse events of biological treatment in adult patients with juvenile idiopathic arthritis: results from BIOBADASER (2018)

Survival and suspension by remission of biologics were higher when these compounds were initiated in patients with JIA who had not yet reached 16 years of age. The incidence rate of serious adverse events in pediatric vs adult patients with JIA treated with biologics was similar; however, a significant increase of infection was observed in patients under 16 years old.
Nuclear processes and oncogenes (1992)

Part 1 Nuclear oncogenes: oncogenes, tumor suppressor genes and the deregulation of cell growth - an overview, R.A. Weinberg the functions of MYB and MYC, J.M. Bishop transcriptional regulation of fos and jun, T. Curran, et al transformation by v-erbA and v-erB modulation of differentiation and proliferation in erythroid progenitors, H. Beug, et al. Part 2 Nuclear tumor supressor genes: the p53 gene and gene product, R.S. Quartin, et al the p53 gene in human cancer, S.J. Baker and B. Vogelstein the retinoblastoma protein is regulated by the cdc2 kinase, Q. Hu, et al cellular proteins that can interact specifically with the retinoblastoma susceptibility gene product, W.G. Kaelin, Jr., et al the role of the WT1 tumor suppressor gene in the ediology of wilm, D.E. Housman tumor. Part 3 Regulation of transcription: the serum response element - structure and function, R. Treisman the mouse H19 gene - its structure and function in mouse development, S.M. Tilghman, et al regulation of transcription in animal cells - factors and mechanisms, B.F. Pugh and R. Tjian.
Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming (2023)

Global optimization of decision trees has shown to be promising in terms of accuracy, size, and consequently human comprehensibility. However, many of the methods used rely on general-purpose solvers for which scalability remains an issue. Dynamic programming methods have been shown to scale much better because they exploit the tree structure by solving subtrees as independent subproblems. However, this only works when an objective can be optimized separately for subtrees. We explore this relationship in detail and show the necessary and sufficient conditions for such separability and generalize previous dynamic programming approaches into a framework that can optimize any combination of separable objectives and constraints. Experiments on five application domains show the general applicability of this framework, while outperforming the scalability of general-purpose solvers by a large margin.
New method to improve power handling capability for coplanar waveguide high-temperature superconducting filter (2005)

This paper proposes a new method for improving the power handling capability of a coplanar waveguide (CPW) high-temperature superconducting (HTS) filter. The noteworthy point of the proposed method is that it is based on the concept that the power handling capability is improved by reducing the maximum current density of the filter. Numerical investigations confirm that a CPW HTS filter using 100-/spl Omega/ characteristic impedance resonators reduce the maximum current density compared to that using conventional 50-/spl Omega/ resonators. A 5-GHz band, four-pole, CPW HTS filter is fabricated based on the proposed method. The fabricated filter has the third-order intercept point of 62 dBm at 60 K. This result indicates the effectiveness of the proposed method.