gebhart/patrepeval huggingface dataset:
From Membranes to Melts, Rouse to Reptation:  Diffusion in Polymersome versus Lipid Bilayers (2001)

ADVERTISEMENT RETURN TO ISSUEPREVCommunication to the...Communication to the EditorNEXTFrom Membranes to Melts, Rouse to Reptation: Diffusion in Polymersome versus Lipid BilayersJames C.-M. Lee, Maria Santore, Frank S. Bates, and Dennis E. DischerView Author Information School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104; Department of Chemical Engineering, Lehigh University, Bethlehem, Pennsylvania 18015; and Department of Chemical Engineering and Material Science, University of Minnesota, Minneapolis, Minneapolis 55455 Cite this: Macromolecules 2002, 35, 2, 323–326Publication Date (Web):December 18, 2001Publication History Received11 July 2001Revised12 November 2001Published online18 December 2001Published inissue 1 January 2002https://pubs.acs.org/doi/10.1021/ma0112063https://doi.org/10.1021/ma0112063rapid-communicationACS PublicationsCopyright © 2002 American Chemical SocietyRequest reuse permissionsArticle Views1640Altmetric-Citations113LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Copolymers,Diffusion,Lipids,Membranes,Vesicles Get e-Alerts
Organocatalytic Asymmetric Assembly Reactions: One‐Pot Synthesis of Functionalized β‐Amino Alcohols from Aldehydes, Ketones, and Azodicarboxylates. (2003)

Abstract For Abstract see ChemInform Abstract in Full Text.
Slow Light Femtosecond Pulses by Adiabatic Plasmonic Nanofocusing (2013)

We demonstrate broadband slow light through adiabatic nanofocusing of surface plasmon polaritons (SPPs) on a conical tip. A few femtosecond group delay for nanofocused pulses is found, corresponding to an SPP velocity of less than 0.2c at the apex of the tip.
Evaluation of open-ended, clustering, and discrete choice methods for user requirements development in a low-income country context (2023)

High quality user requirements are positively correlated with successful design outcomes, but engaging stakeholders within low-income contexts can present financial and time-related challenges to product developers from non-local industrial and academic institutions with limited knowledge of the context. Existing literature provides guidance for engaging stakeholders during the early stages of product design in high-income country contexts, but few studies have examined the effectiveness of these methods in low-income country contexts. This study evaluated three user requirements elicitation and prioritization methods including open-ended, clustering, and discrete choice. Ghanaian healthcare delivery stakeholders with varying types of expertise, years of experience, and from various types of healthcare facilities were recruited to allow for diversity of responses. Participants included physicians (n = 10), nurses/midwives (n = 16), biomedical technicians (n = 14), and public health officers (n = 7). A hypothetical mechanical device for managing and treating postpartum hemorrhage was chosen to characterize each method's ability to elicit and prioritize user requirements. The open-ended method captured general requirements of a design concept, yet resulted in predominantly generic requirements. The results from the open-ended method were used to inform the clustering and discrete choice methods. The clustering and discrete choice methods were useful for inferring in-depth user requirements and eliciting stakeholder priorities. The clustering method revealed that usability and affordability were high-priority requirements among all four stakeholder groups. An individual difference scaling analysis was performed using the clustering method outcomes, which indirectly identified ease-of-use, availability, and effectiveness as the priority user requirements categories. Stakeholders ranked ease-of-use as the highest-priority user requirement, followed by performance, cost, and place-of-origin requirements, using the discrete choice method. Given the significance of the ease-of-use requirement, an analytical framework based on sub-requirements was developed for quantifying stakeholder needs. Lastly, the relative merits of the three elicitation approaches and their implications for use with different stakeholder groups were examined.
A study on the structural features of SELK, an over-expressed protein in hepatocellular carcinoma, by molecular dynamics simulations in a lipid–water system (2016)

Human SELK is a small trans-membrane selenoprotein characterized by a single trans-membrane helix, while the N-terminal region protrudes into the lumen and the long C-terminal domain into the cytoplasm. SELK is over-expressed in some cancers, like hepatocellular carcinoma; however its precise role in cancer development is presently unknown. SELK is involved in promoting the calcium flux, catalyzing palmitoylation reactions and protein degradation in the endoplasmic reticulum (ER). Therefore, this protein should bind many different proteins like p97/VCP in the supramolecular complex involved in the ER degradation pathway. To study the structural features of SELK in the membrane, we have modeled the protein and then subjected it to molecular dynamics simulations in a lipid-water system. The model shows a N-terminal domain with three β-strands and a short helix, a well-defined trans-membrane helix and a C-terminal domain that lacks a persistent secondary structure and contains long disordered regions. The trajectory analysis during the simulation evidences that: (i) the N-terminal region explores a limited conformational space and is stabilized by intra-peptide H-bonds as well with membrane lipids and water, (ii) the trans-membrane helix was found to be quite stable and (iii) the disordered C-terminal region is stabilized by H-bonds with clustered water molecules as well as by rapidly interchanging intra-peptidic H-bonds, with a structural tendency to compact around the four HUB residues found for this domain. Moreover, N-terminal and C-terminal clusters are distributed differently in the conformational space suggesting that their dynamics are coupled complicatedly through the membrane. Further analyses have shown that the N-terminal has a tendency to pivot around the insertion with the TM-helix through the fluctuations of the three β-strands, which, in turn, show features similar to WW-domains. These results will be useful to study the SELK, SELS and VCP complex representing an interesting druggable target for cancer.
Advances in active acoustic ranging (2019)

Abstract Recent advances in the processing and interpretation of sonic imaging surveys warrant a fresh look at the performance of active acoustic ranging for locating wellbores. The interpretation of results from sonic imaging surveys typically has been done in workflows similar to classic seismic interpretation, where the data are projected into a 2D plane and reflective features are picked. These sonic imaging workflows require significant time and expertise to execute. The reflected arrival events typically are obscured by higher amplitude borehole modes, and the migration workflow needs numerous critical parameter choices that require interpreting the raypath type and azimuth of the reflected arrivals. When used for acoustic ranging, additional challenges are present, particularly in situations where the logging tool rotates and the relative position of the target well changes with depth. This may occur when the logging or target well trajectories have a curved shape, since determining the direction and distance to the target well then requires careful interpretation of migration image amplitudes. We demonstrate how a newly developed automated approach to the interpretation of sonic imaging data helps improve accuracy and removes interpreter bias while simplifying the processing chain and reducing turnaround time. We compare our results to what has been obtained previously by using the same data set. We achieve a marked improvement in accuracy and consistency using this new technique.
Artificial intelligence–derived cardiac ageing is associated with cardiac events post-heart transplantation (2022)

Electrocardiogram age-derived cardiac ageing after transplantation is associated with a higher risk of MACE. This study suggests that physiological age change of the heart might be an important determinant of MACE risk post-HTx.
A New Approach to Hybrid Polymer–Metal and Polymer–Semiconductor Particles (2002)

Metal and semiconductor nanoparticle-coated polymer particles (see Figure, scale bar = 100 nm) of submicrometer size have been synthesized. The growth of high-quality colloid crystalline arrays is enabled by a strong attachment of the nanoparticles to the latex, high charge, and a smooth surface to the microspheres. Good control over the diameter of the nanoparticles determines their confined electronic states and consequently their spectral properties.
Guidance for human navigation using a vibro-tactile belt interface and robot-like motion planning (2014)

We present a navigation guidance system that guides a human to a goal point with a tactile belt interface and a stationary laser scanner. We make use of ROS local navigation planner to find an obstacle-free path by modeling the human as a non-holonomic robot. Linear and angular velocities to keep the ’robot’ on the path are dynamically calculated, which are then converted to vibrations and applied by the tactile belt. We define directional and rotational vibration patterns and evaluate which ones are suitable for guiding humans. Continuous patterns for representing directions had the least average angular error with 8.4◦, whereas rotational patterns were recognized with near-perfect accuracy. All patterns had a reaction time slightly more than 1 seconds. The person is tracked in laser scans by fitting an ellipse to the torso. Average tracking error is found to be 5cm in position and 14◦ in orientation in our experiments with 23 people. Best tracking results was achieved when the person is 2.5m away and is facing the sensor or the opposite way. The human control system as a whole is successfully demonstrated in a navigation guidance scenario.
Optimizing polyphase-coded FM waveforms within a LINC transmit architecture (2014)

Linear amplification using nonlinear components (LINC) is a design approach used to mitigate the nonlinear distortion introduced by the transmitter components, particularly the high-power amplifier. This work investigates using the LINC approach in combination with a new polyphase-coded FM (PCFM) waveform optimization strategy to strike a balance between waveform effectiveness, power efficiency, and spectral containment. A hardware-in-the-loop optimization of LINC-PCFM waveforms is employed to enable joint consideration of the transmitter components and the excitation waveforms.
Metamaterials to bridge propagating waves with surface waves and control electromagnetic waves (2013)

In this work, we demonstrate theoretically and experimentally that a specific gradient-index meta-surface can convert a PW to a SW with nearly 100% efficiency. Distinct from conventional devices such as prism or grating couplers, the momentum mismatch between PW and SW is compensated by the reflection-phase gradient of the meta-surface, and a nearly perfect PW-SW conversion can happen for any incidence angle larger than a critical value. Experiments in the microwave region, including both far-field and near-field characterizations, are in excellent agreement with full-wave simulations. Based on gradient metasurface's idea, we also realized a gradient meta-surface supporting high-efficiency anomalous reflection for near-infrared light and a flat focusing lens for microwave.
Miniaturized, biopsy-implantable chemical sensor with wireless, magnetic resonance readout (2015)

Biopsy is an important diagnostic tool for a broad range of conditions. Cancer diagnoses, for example, are confirmed using tissue explanted with biopsy. Here we demonstrate a miniaturized wireless sensor that can be implanted during a biopsy procedure and return chemical information from within the body. Power and readout are wireless via weak magnetic resonant coupling to an external reader. The sensor is filled with responsive nuclear magnetic resonance (NMR) contrast agents for chemical sensitivity, and on-board circuitry constrains the NMR measurement to the contents. This sensor enables longitudinal monitoring of the same location, and its simple readout mechanism is ideal for applications not requiring the spatial information available through imaging techniques. We demonstrated the operation of this sensor by measuring two metabolic markers, both in vitro and in vivo: pH in flowing fluid for over 25 days and in a xenograft tumor model in mice, and oxygen in flowing gas and in a rat hind-limb constriction experiment. The results suggest that this in vivo sensing platform is generalizable to other available NMR contrast agents. These sensors have potential for use in biomedicine, environmental monitoring and quality control applications.
Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning (2011)

We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally correlated. Existing algorithms do not consider such temporal correlation and thus their performance degrades significantly with the correlation. In this paper, we propose a block sparse Bayesian learning framework which models the temporal correlation. We derive two sparse Bayesian learning (SBL) algorithms, which have superior recovery performance compared to existing algorithms, especially in the presence of high temporal correlation. Furthermore, our algorithms are better at handling highly underdetermined problems and require less row-sparsity on the solution matrix. We also provide analysis of the global and local minima of their cost function, and show that the SBL cost function has the very desirable property that the global minimum is at the sparsest solution to the MMV problem. Extensive experiments also provide some interesting results that motivate future theoretical research on the MMV model.
Nucleic acid immunization of chimpanzees as a prophylactic/immunotherapeutic vaccination model for HIV-1: prelude to a clinical trial (1997)

Vaccine development strategies have often utilized recombinant envelope glycoproteins which usually generate strong humoral immune responses but which do not generate strong cytotoxic T lymphocytes (CTL). A recent novel experimental vaccination approach involves the technology known as nucleic acid immunization in which DNA plasmids expressing a gene of interest is injected intramuscularly in experimental animals. These expressed proteins then are presented to the immune system with the subsequent development of strong antibody and cellular (particularly CTL) immune responses. These types of immune responses have been elicited in rodents as well as nonhuman primates including chimpanzees. Results from studies on nucleic acid immunization of HIV-1 infected chimpanzees with envelope glycoprotein expressing constructs indicated that this method was able to decrease substantially HIV-1 viral load in these chimpanzees. These data are useful for the development and implementation of human phase I clinical trials with HIV constructs expressing various genes from the HIV-1 genome.
Real-Time Performance Controllers For Synthesized Singing (2005)

A wide variety of singing synthesis models and methods exist,but there are remarkably few real-time controllers for thesemodels. This paper describes a variety of devices developedover the last few years for controlling singing synthesismodels implemented in the Synthesis Toolkit in C++ (STK),Max/MSP, and ChucK. All of the controllers share somecommon features, such as air-pressure sensing for breathingand/or loudness control, means to control pitch, and methodsfor selecting and blending phonemes, diphones, and words.However, the form factors, sensors, mappings, and algorithmsvary greatly between the different controllers.
Selenium levels in dilated cardiomyopathy. (2000)

Thirty-seven dilated cardiomyopathy cases have been studied and compared with 20 normal controls. Serum selenium levels in relation to coronary risk factors were studied. Serum samples were analysed for selenium, total cholesterol, high density lipoprotein(HDL) cholesterol, triglycerides and glucose levels. Smoking, alcohol intake, positive family history, psychosocial tension, obesity, hypercholesterolaemia, hypertriglyceridaemia and hyperglycaemia were found in the following percentages 27%, 8%, 5%, 73%, 41%, 38%, 81%, 46% respectively in dilated cardiomyopathy patients. Low selenium (< 4.5 micrograms/dl) and HDL cholesterol levels and high total cholesterol, triglycerides, low density lipoprotein cholesterol, very low density lipoprotein cholesterol and glucose levels were observed in dilated cardiomyopathy cases compared to controls. The present results support the concept that low selenium levels along with other risk factors play an important role in developing dilated cardiomyopathy.
Evaluation of Coughing and Nasal Discharge as Early Indicators for An Increased Risk to Develop Equine Recurrent Airway Obstruction (RAO) (2014)

Occasional coughing and mucous nasal discharge might represent an increased risk of developing RAO.
Micropreemption synthesis: an enabling mechanism for multitask VLSI systems (2005)

Task preemption is a critical enabling mechanism in multitask very large scale integration (VLSI) systems. On preemption, data in the register files must be preserved for the task to be resumed. This entails extra memory to preserve the context and additional clock cycles to save and restore the context. In this paper, techniques and algorithms to incorporate micropreemption constraints during multitask VLSI system synthesis are presented. Specifically, algorithms to insert and refine preemption points in scheduled task graphs subject to preemption latency constraints, techniques to minimize the context switch overhead by considering the dedicated registers required to save the state of a task on preemption and the shared registers required to save the remaining values in the tasks, and a controller-based scheme to preclude the preemption-related performance degradation by: 1) partitioning the states of a task into critical sections; 2) executing the critical sections atomically; and 3) preserving atomicity by rolling forward to the end of the critical sections on preemption have been developed. The effectiveness of all approaches, algorithms, and software implementations is demonstrated on real examples. Validation of all the results is complete in the sense that functional simulation is conducted to complete layout implementation.
Sensor-Driven Wireless Lighting Control: System Solutions and Services for Intelligent Buildings (2014)

We consider a wireless networked, sensor-driven lighting system as an enabling infrastructure for providing system solutions and services in intelligent buildings. The lighting system in an office space consists of multiple luminaires, with each luminaire having a co-located presence sensor, light sensor, and wireless radio for communication to a central controller. Information from these wireless sensors is used for realizing three specific solutions and services: 1) adaptive illumination control; 2) indoor positioning; and 3) building usage information maps. Using occupancy and light measurements from the multiple sensors, a multivariable controller is designed to determine dimming levels of the luminaires so as to achieve an illumination distribution adapted to changing occupancy and daylight. The wireless sensor transmissions to the central controller are captured by a user mobile device in terms of radio signal strength measurements. Using these measurements, the user position is determined by a device-centric positioning algorithm, in turn offering access to location-based building services to the user. Finally, sensor values at the central controller are stored in a database and processed by an analytics engine to offer building usage information services. As an embodiment service, we use presence sensor data for constructing occupancy maps and, in conjunction with light sensor data, to analyze the energy consumption patterns of lighting systems.
Combination immunotherapy with ipilimumab and nivolumab in patients with rare gynaecological malignancies. (2020)

6091 Background: Up to 50% of gynecological cancers are considered rare. The outcome of these patients (pts) is poor given a lack of scientific and clinical knowledge. Immunotherapy using single agent anti- PD-1/PD-L1 treatment (tx) has shown only modest activity in patients with common gynecological malignancies, such as high grade serous ovarian cancer (ca) and microsatellite stable endometrial ca. Combined CTLA-4/PD-1 blockade using ipilimumab (ipi) and nivolumab (nivo) has demonstrated superior efficacy compared to single agent anti-PD-1 therapy in pts with advanced melanoma and renal cell ca. To date, no trials have been undertaken with ipi/nivo in patients with rare gynecological malignancies. Methods: 41 pts with advanced rare gynecological malignancies were enrolled into the CA209-538 trial. Pts received nivo 3mg/kg and ipi 1mg/kg q 3 weekly for four doses, followed by nivo 3mg/kg q 2 weekly. Tx continued for up to 96 weeks, or until disease progression or the development of unacceptable toxicity. Response (RECIST 1.1) was assessed every 12 weeks. The primary endpoint was clinical benefit rate (CBR = CR +PR + SD). Exploratory endpoints include correlation of efficacy with biomarkers (incl PD-L1/TMB). Results: Pts with 10 rare tumor types were enrolled (Table). 39/41 pts have received prior therapy (1-7 lines). Objective responses were observed in 11 pts (27%) including pts with vaginal SCC, ovarian clear cell and low grade serous ca, ovarian and uterine carcinosarcoma, uterine clear cell, uterine serous ca and leiomyosarcoma. A further 9 pts had SD as their best radiological response resulting in a CBR of 49%. The median duration of response had not been reached (range 3.5 – 25+ months) with seven responses being ongoing. 63% of pts experienced an immune related adverse event (irAEs) with 4 pts developing Grade 3/4 irAEs. Conclusions: Ipi/Nivo tx demonstrates efficacy in a range of different rare gynecological cancers with a significant number of durable responses being observed. Tumor agnostic biomarkers are required to assist with better patient selection. Clinical trial information: NCT02923934. [Table: see text]