gebhart/patrepeval huggingface dataset:
Development of gait segmentation methods for wearable foot pressure sensors (2012)

We present an automated segmentation method based on the analysis of plantar pressure signals recorded from two synchronized wireless foot insoles. Given the strict limits on computational power and power consumption typical of wearable electronic components, our aim is to investigate the capability of a Hidden Markov Model machine-learning method, to detect gait phases with different levels of complexity in the processing of the wearable pressure sensors signals. Therefore three different datasets are developed: raw voltage values, calibrated sensor signals and a calibrated estimation of total ground reaction force and position of the plantar center of pressure. The method is tested on a pool of 5 healthy subjects, through a leave-one-out cross validation. The results show high classification performances achieved using estimated biomechanical variables, being on average the 96%. Calibrated signals and raw voltage values show higher delays and dispersions in phase transition detection, suggesting a lower reliability for online applications.
Differential Diagnosis of Melanocytic Lesions and Molecular Biology (2011)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Dermatology HomeNew OnlineCurrent IssueFor Authors Podcast Publications JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Dermatology journal
Cognitive Function in Ambulatory Patients with Systolic Heart Failure: Insights from the Warfarin versus Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial (2014)

We sought to determine whether cognitive function in stable outpatients with heart failure (HF) is affected by HF severity. A retrospective, cross-sectional analysis was performed using data from 2, 043 outpatients with systolic HF and without prior stroke enrolled in the Warfarin versus Aspirin in Reduced Cardiac Ejection Fraction (WARCEF) Trial. Multivariable regression analysis was used to assess the relationship between cognitive function measured using the Mini-Mental Status Exam (MMSE) and markers of HF severity (left ventricular ejection fraction [LVEF], New York Heart Association [NYHA] functional class, and 6-minute walk distance). The mean (SD) for the MMSE was 28.6 (2.0), with 64 (3.1%) of the 2,043 patients meeting the cut-off of MMSE <24 that indicates need for further evaluation of cognitive impairment. After adjustment for demographic and clinical covariates, 6-minute walk distance (β-coefficient 0.002, p<0.0001), but not LVEF or NYHA functional class, was independently associated with the MMSE as a continuous measure. Age, education, smoking status, body mass index, and hemoglobin level were also independently associated with the MMSE. In conclusion, six-minute walk distance, but not LVEF or NYHA functional class, was an important predictor of cognitive function in ambulatory patients with systolic heart failure.
Image Analysis and Length Estimation of Biomolecules Using AFM (2012)

There are many examples of problems in pattern analysis for which it is often possible to obtain systematic characterizations, if in addition a small number of useful features or parameters of the image are known a priori or can be estimated reasonably well. Often the relevant features of a particular pattern analysis problem are easy to enumerate, as when statistical structures of the patterns are well understood from the knowledge of the domain. We study a problem from molecular image analysis, where such a domain-dependent understanding may be lacking to some degree and the features must be inferred via machine-learning techniques. In this paper, we propose a rigorous, fully-automated technique for this problem. We are motivated by an application of atomic force microscopy (AFM) image processing needed to solve a central problem in molecular biology, aimed at obtaining the complete transcription profile of a single cell, a snapshot that shows which genes are being expressed and to what degree. Reed et al (Single molecule transcription profiling with AFM, Nanotechnology, 18:4, 2007) showed the transcription profiling problem reduces to making high-precision measurements of biomolecule backbone lengths, correct to within 20-25 bp (6-7.5 nm). Here we present an image processing and length estimation pipeline using AFM that comes close to achieving these measurement tolerances. In particular, we develop a biased length estimator on trained coefficients of a simple linear regression model, biweighted by a Beaton-Tukey function, whose feature universe is constrained by James-Stein shrinkage to avoid overfitting. In terms of extensibility and addressing the model selection problem, this formulation subsumes the models we studied.
Influence of hyperprolactinemia induced by adenopituitary transplantation under the kidney capsule on the glutamic acid decarboxylase activity in various brain regions. (1981)

Glutamic acid decarboxylase activity was assayed in rat substantia nigra, corpus striatum, medial basal hypothalamus and cerebellum under conditions of hyperprolactinemia induced by transplantation of adenopituitary under the kidney capsule. The results indicate that hyperprolactinemia induces a slight increase in the glutamic acid decarboxylase activity of substantia nigra and medial basal hypothalamus and a more evident increase at striatal level. No change was observed in the cerebellum.
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 (2020)

The COVID-19 global pandemic is a threat not only to the health of millions of individuals, but also to the stability of infrastructure and economies around the world. The disease will inevitably place an overwhelming burden on healthcare systems that cannot be effectively dealt with by existing facilities or responses based on conventional approaches. We believe that a rigorous clinical and societal response can only be mounted by using intelligence derived from a variety of data sources to better utilize scarce healthcare resources, provide personalized patient management plans, inform policy, and expedite clinical trials. In this paper, we introduce five of the most important challenges in responding to COVID-19 and show how each of them can be addressed by recent developments in machine learning (ML) and artificial intelligence (AI). We argue that the integration of these techniques into local, national, and international healthcare systems will save lives, and propose specific methods by which implementation can happen swiftly and efficiently. We offer to extend these resources and knowledge to assist policymakers seeking to implement these techniques.
Angiotensin II regulates cellular immune responses through a calcineurin-dependent pathway (1999)

The renin-angiotensin system (RAS) is a key regulator of vascular tone and blood pressure. In addition, angiotensin II also has a number of cellular effects that may contribute to disease pathogenesis. Using Agtr1a(-/-) mice, which lack AT(1A) receptors for angiotensin II, we have identified a novel function of the RAS to modulate the immune system. We find that angiotensin II, acting through type 1 (AT(1)) receptors on immune cells, triggers the proliferation of splenic lymphocytes. These actions contribute to the vigor of cellular alloimmune responses. Within lymphoid organs, sufficient components of the RAS are present to activate AT(1) receptors during an immune response, promoting cell growth. These actions require activation of calcineurin phosphatase. In an in vivo model of cardiac transplantation, the absence of AT(1) signaling accentuates the immunosuppressive effects of the calcineurin inhibitor cyclosporine. We conclude that inhibition of AT(1) receptor signaling should be useful as an anti-inflammatory and immunosuppressive therapy. Furthermore, the actions of the RAS to promote lymphocyte activation may contribute to inflammation that characterizes a number of diseases of the heart and the vascular system.
Chemical Degradation of Membrane Polymer Model Compounds under Simulated Fuel Cell Conditions (2010)

Peroxide radical degradation is widely accepted as one of the key mechanisms by which PEM fuel cell membranes are eroded and ultimately fail. Testing of the mechanism of such failures is difficult, given the intractable nature of typical PEM polymers, and the low levels of degradation necessary to bring about failure. By use of low molecular weight model compounds, the mechanism of chemical degradation of both perfluorinated and hydrocarbon-based membranes can be simulated. These tests tell a clear story that common organic chemical reactivity patterns are followed, both polymer backbone carboxylic acid groups and side chain ether linkages are weak in perfluoro PEM materials, and that aromatic groups can be hydroxylated, and ether groups cleaved in hydrocarbon systems.
Decision letter: HIV-1 integrase tetramers are the antiviral target of pyridine-based allosteric integrase inhibitors (2019)

Pyridine-based allosteric inhibitors selectively target HIV-1 integrase tetramers and exhibit enhanced antiviral activity against a dolutegravir resistant mutant virus indicating potential clinical benefits for combining these two classes of inhibitors.
New Triazacycloalkane Derivatives as Cytotoxic Agents for CLL Treatment: From Proof of Concept to the Targeting Biomolecule (2022)

The 1,4,7-tris-(2-pyridinylmethyl)-1,4,7-triazacyclononane ligand (<b>no3py</b>) and its bifunctional analogue <b>no3pyCOOK</b> were synthesized to investigate their action toward zinc(II) depletion related to the apoptosis phenomenon in chronic lymphocytic leukemia (CLL) cells. <b>no3py</b> was used as the "free" ligand, while its "graftable" derivative was conjugated on a newly synthesized bifunctional sialoglycan, <b>6'-SL-NH</b><sub><b>2</b></sub>, selected to specifically bind CD22 biomarker expressed on the B-CLL cell surface. Both compounds were produced with good yields thanks to a Sonogashira coupling reaction and an orthoester function, respectively, for the chelator and the targeting moiety. The newly reported bioconjugate <b>6'-SL-no3py</b> was then obtained through a peptidic coupling reaction. Biological in vitro studies of <b>no3py</b> and <b>6'-SL-no3py</b> consisting of real-time detection of cell health (cytotoxicity and proliferation) and caspases 3/7 activation (crucial enzymes whose activation triggers cell death signaling pathways) have been investigated. First, Ramos, Daudi, and Raji B-cell lines, which present different sensitivity to zinc(II) content variation, were incubated with <b>no3py</b> and <b>6'-SL-no3py</b>. Then, a videomicroscope allowed the real-time monitoring of the morphological changes leading to cell death from the detection of the cytotoxicity, the antiproliferative effect, and the caspasic activity. In terms of mechanism, the Zn<sup>2+</sup> chelator cytotoxic effect of <b>no3py</b> has been evidenced by a culture medium ion supplementation study and by the decrease of intracellular fluorescence of Zn-specific fluorophore zinquin in the presence of <b>no3py</b> and <b>6'-SL-no3py</b> chelators. Finally, flow cytometry analysis with classical Annexin V staining was conducted to detect <b>no3py-</b> and <b>6'-SL-no3py</b>-induced apoptotic cell death in B-CLL cells. Time-course analysis, using the Incucyte Live-Cell Analysis System, demonstrated that <b>no3py</b> induced cell death in a time- and dose-dependent manner with variability across cell lines. <b>6'-SL-no3py</b> exhibited the same dose-dependent trend as <b>no3py</b>, showing the efficiency of the targeting moiety. In both cases, the chelators depicted proliferation curves that were inversely correlated with kinetic death. Morphological changes specific to apoptosis and caspase 3/7 activation were observed for the three cell lines treated with <b>no3py</b> and <b>6'-SL-no3py</b>, highlighting their role as apoptotic agents. A higher concentration of <b>6'-SL-no3py</b> is needed to reach 50% of the B-CLL mortality, confirming a targeting of the chelator to the cell membrane. Overall, our results proved that the biological properties of the triazamacrocyclic chelator still remain even after addition of the targeting moiety. The free chelator as well as the bioconjugate constitute promising cytotoxic agents for CLL therapy through apoptosis induction.
Optical properties of molecular beam epitaxially grown GaAs1−<i>x</i>Sb<i>x</i> (0&amp;lt;<i>x</i>&amp;lt;0.5) on GaAs and InP substrates (1988)

Undoped and lightly Si doped GaAs1−xSbx bulk layers have been grown on GaAs substrates with Sb composition as high as 0.5 by molecular beam epitaxy. Low temperature (4 K) photoluminescence (PL) and absorption measurements were carried out. For samples with x values smaller than 0.06, PL spectra were dominated by two bands, the emission associated with the bound excitons and with the electron (or donor) to acceptor recombinations. However, the free exciton peak was clearly observable in absorption spectra. For higher Sb compositions (x&amp;gt;0.06), only one peak associated with the impurity or defect related transitions dominates PL spectra. We found that the energy and the line shape of this main peak are closely related to the sample quality for the same x value. The lower peak energy than the band gap, the low signal intensity and the large line broadening are due to the emissions associated with the defect band below the ideal (perfect crystal) energy gap introduced by the lattice mismatch near the heterointerface of GaAs1−xSbx and GaAs. As expected, higher quality epilayers provide a stronger PL intensity, smaller line width, as well as a higher peak energy.
Toward an Effective Medicine of Precision by Using Conceptual Modelling of the Genome (2018)

The continuous improvement in our understanding of the human genome is leading to an increasing viable and effective Precision Medicine. Its intention is to provide a personalized solution to any individual health problem. Nevertheless, three main issues must be considered to make Precision Medicine a reality: i) the understanding of the huge amount of genomic data, spread out in hundreds of genome data sources, with different formats and contents, whose semantic interoperability is a must; ii) the development of information systems intended to guide the search of relevant genomic repositories related with a disease, the identification of significant information for its prevention, diagnosis and/or treatment and its management in an efficient software platform; iii) the high variability in the quality of the publicly available information. This paper presents a conceptual framework for solving these problems by i) using a precise conceptual schema of the human genome, and ii) introducing a method to search, identify, load and adequately interpret the required data, assuring its quality during the entire process.
Sliding behavior of zirconia porous implant surfaces against bone (2018)

Different zirconia porous layers were produced on zirconia dense zirconia substrates by slip casting using powder with different mean sizes: 40 μm (Z40), 70 μm (Z70), and 100 μm (Z100). The dynamic and static coefficients of friction against bovine femoral bone, mimicking the implantation process, were conducted using a ball-on-flat reciprocating sliding tribometer under 3 N of normal load. Additionally, the porous layers were assessed with regard to their low temperature degradation (aging). Results revealed that the porous layers were able to keep their integrity during the sliding testes against bone, with no zirconia particles being transferred to the bone. Results did not show significant differences (p > 0.05) in kinetic and static COF values for Z40, Z70, Z100, and GRAD specimens, ranging from 0.53 to 0.77 and 0.65 to 0.90, respectively. The aging tests revealed that all surfaces were prone to low temperature degradation (~49% of monoclinic content after 18 h). In conclusion, the cohesive integrity of the layers and relatively high COF observed reveled that zirconia porous layers may be considered for replacing the current implant surfaces, and are expected to improve their primary stability. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B: 1113-1121, 2019.
HMM Based Text-to-Speech Synthesis for Telugu (2016)

This thesis describes a novel approach to build a general purpose working Telugu text-to- speech synthesis system (TTS) based on hidden Markov model (HMM) which is reasonably intelligible, natural sounding and exible. There have been several attempts proposed to use HMM for constructing TTS systems. Most of such systems are based on waveform concatenation techniques.&#13;\nTo fully convey information present in speech signals, text-to-speech synthesis systems are required to have an ability to generate natural sounding speech with arbitrary speakers individualities and emotions (e.g., anger, sadness, joy). To represent all these factors the Mel- cepstral coefficients are extracted as spectral parameters. Excitation parameters are extracted using fundamental frequency(F0).
Post‐installation adaptation of offshore wind turbine controls (2020)

Abstract The cost of offshore wind energy can be reduced by incorporating control strategies to reduce the support structures' load effects into the structural design process. While effective in reducing the cost of support structures, load‐reducing controls produce potentially costly side effects in other wind turbine components and subsystems. This paper proposes a methodology to mitigate these side effects at the wind farm level. The interaction between the foundation and the surrounding soil is a major source of uncertainty in estimating the safety margins of support structures. The safety margins are generally closely correlated with the modal properties (natural frequencies, damping ratios). This admits the possibility of using modal identification techniques to reassess the structural safety after installing and commissioning the wind farm. Since design standards require conservative design margins, the post‐installation safety assessment is likely to reveal better than expected structural safety performance. Thus, if load‐reducing controls have been adopted in the structural design process, it is likely permissible to reduce the use of these during actual operation. Here, the probabilistic outcome of such a two‐stage controls adaptation is analyzed. The analysis considers the structural design of a 10 MW monopile offshore wind turbine under uncertainty in the site‐specific soil conditions. Two control strategies are considered in separate analyses: (a) tower feedback control to increase the support structure's fatigue life and (b) peak shaving to increase the support structure's serviceability capacity. The results show that a post‐installation adaptation can reduce the farm‐level side‐effects of load‐reducing controls by up to an order of magnitude.
Reduced circulating BMP10 and BMP9 and elevated endoglin are associated with disease severity, decompensation and pulmonary vascular syndromes in patients with cirrhosis (2020)

Plasma BMP9 and BMP10 levels are reduced in decompensated cirrhosis, leading to reduced circulating BMP activity on the vascular endothelium. The pulmonary complications of cirrhosis, PoPH and HPS, are associated with markedly reduced BMP9 and BMP10 and increased sEng levels, suggesting that supplementation with exogenous ligands might be a therapeutic approach for PoPH and HPS.
The Efficacy of Epinephrine-Containing Test Dose during Propofol-Nitrous Oxide Anesthesia with High Dose Fentanyl (2006)

. epinephrine 20 15 mmHg . 1)
Molecular changes in <i>Mesembryanthemum crystallinum</i> guard cells underlying the C <sub>3</sub> to CAM transition (2019)

ABSTRACT Crassulacean acid metabolism (CAM) is a specialized type of photosynthesis: stomata close during the day, enhancing water conservation, and open at night, allowing CO 2 uptake. Mesembryanthemum crystallinum (common ice plant) is a facultative CAM species that can shift from C 3 photosynthesis to CAM under salt or drought stresses. However, the molecular mechanisms underlying the stress induced transition from C 3 to CAM remain unknown. Here we determined the transition time from C 3 to CAM in M. crystallinum under salt stress. In parallel, single-cell-type transcriptomic profiling by 3’-mRNA sequencing was conducted in guard cells to determine the molecular changes in this key cell type during the transition. In total, 495 transcripts showed differential expression between control and salt-treated samples during the transition, including 285 known guard cell genes, seven CAM-related genes, 18 transcription factors, and 185 other genes previously not found to be expressed in guard cells. PEPC1 and PPCK1 , which encode key enzymes of CAM photosynthesis, were up-regulated in guard cells after seven days of salt treatment, indicating that guard cells themselves can transition from C 3 to CAM. This study provides important information towards introducing CAM stomatal behavior into C 3 crops to enhance water use efficiency. Summary statement We determined the timing of salt induced transition of common ice plant from C 3 to CAM and identified transcriptomic changes during the transition. The data support the notion that guard cells themselves can transition from C 3 to CAM.
Polarized-interferometer feasibility study (1983)

The feasibility of using a polarized-interferometer system as a rendezvous and docking sensor for two cooperating spacecraft was studied. The polarized interferometer is a radio frequency system for long range, real time determination of relative position and attitude. Range is determined by round trip signal timing. Direction is determined by radio interferometry. Relative roll is determined from signal polarization. Each spacecraft is equipped with a transponder and an antenna array. The antenna arrays consist of four crossed dipoles that can transmit or receive either circularly or linearly polarized signals. The active spacecraft is equipped with a sophisticated transponder and makes all measurements. The transponder on the passive spacecraft is a relatively simple repeater. An initialization algorithm is developed to estimate position and attitude without any a priori information. A tracking algorithm based upon minimum variance linear estimators is also developed. Techniques to simplify the transponder on the passive spacecraft are investigated and a suitable configuration is determined. A multiple carrier CW signal format is selected. The dependence of range accuracy and ambiguity resolution error probability are derived and used to design a candidate system. The validity of the design and the feasibility of the polarized interferometer concept are verified by simulation.