gebhart/patrepeval huggingface dataset:
Abstract 2887: Nanoconstructs for the efficient delivery of siRNA molecules against Aquaporin-1 for anti-angiogenic therapies (2012)

Abstract Aquaporins (AQPs) are water-specific, membrane-channel proteins expressed in diverse tissues. In particular, AQP1 has been reported to be specifically and strongly expressed in most tumor microvascular endothelial cells. Angiogenesis and tumor progression have been dramatically impaired, in AQP1-null mice [Saadoun et al. Nature 434:2005]. These findings support the notion that AQP1 could be considered as a specific target for the treatment of various neoplasias. The AQP1 proteins can be specifically blocked by using small interference RNA molecules (siRNAs). However, despite the considerable potential of RNA interference for the treatment of cancer, the proper systemic delivery of exogenous siRNA molecules is still a challenge. The most significant obstacle is ensuring specific and effective delivery of siRNAs to the cytoplasm of the target cell, limiting toxic effects and serum degradation by RNAses. The use of nanoparticles, as intravascular delivery vehicles, has potential in supporting the efficient, effective and safe systemic delivery of siRNAs. Herein, multiple nanotechnological platforms (nanoconstructs) are used to deliver siRNAs against AQP1. The performance of the different nanoconstructs is assessed in vitro using HeLa cells, transfected to express AQP1 molecules. Three nanoconstructs are studied: fullerenes (C60), poly(lactic-co-glycolic acid) (PLGA) nanospheres and hydrogel-template nanoparticles. Positively charged fullerenes are sub-nanometer spheres (diameter ∼ 0.71 nm) that complex with the negatively charged siRNA molecules forming a stable compound under physiological conditions (pH = 7.4). Differently, the PLGA nanospheres and hydrogel-template nanoparticles are loaded with siRNA molecules during their synthesis process. The silencing performance of the three different nanoconstructs is assessed in vitro at multiple time points, over a period of 6 days post incubation. The loading efficiency, the release rate, the cell-entry mechanisms and potential cytotoxic response are analyzed. The performance of the nanoconstructs is compared with traditional delivery systems based on the use of transfection agents (oligofectamine). AQP1 is here used as a model system, and the optimized nanoconstructs could be utilized also for other siRNA therapeutics. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2887. doi:1538-7445.AM2012-2887
37.3: Air‐stable Electron Transport Materials for Low‐voltage OLEDs (2013)

Abstract In this paper, we describe the use of a new air‐stable generation of n‐doped electron‐transport layers for OLEDs. The proper combination of hosts and dopants allows for lower voltage combined with increased efficiency and long lifetime. We report OLED performance for a two‐color fluorescent white system and a blue‐fluorescent system.
Low Temperature Oxygen Reduction on Nasicon Glass-Ceramics Surfaces (2010)

Abstract not Available.
Traditional Chinese medicine, Danlou tablets alleviate adverse left ventricular remodeling after myocardial infarction: results of a double-blind, randomized, placebo-controlled, pilot study (2016)

clinicaltrials.gov identifier NCT02675322 (February 1, 2016).
Supplementary Table 4 from Functional Precision Medicine Identifies Novel Druggable Targets and Therapeutic Options in Head and Neck Cancer (2023)

&lt;p&gt;Supplementary Table 4&lt;/p&gt;
Scheduling input-queued switches by shadow departuretime algorithm (1999)

A new scheduling algorithm for input-queued cell switches, referred to as a shadow departure time algorithm (SDTA), is introduced. Simulations demonstrate that the cell delay distribution of the SDTA is more desirable than the distributions of the GS-OCF and GS-LQF algorithms in terms of cell overdue probability.
Partial Discharge Characteristics of Electrical Treeing in XLPE Insulation Exposed to Voltages of Different Rise Times (2019)

The use of pulse width modulated (PWM) waveforms allows more flexible energy applications and management. The downside is that under such operating conditions the voltage stress imposed on the insulation systems increases, particularly as the frequency content is considerably higher than at the conventional 50 Hz sinusoidal waveform. Among various degradation mechanisms, electrical treeing is one important processes and it can be linked with a presence of partial discharge (PD) activity. In this paper, the changes in PD characteristics at different stages of degradation by electrical treeing were investigated for XLPE based insulation exposed to rapidly changing voltages of varying magnitude. The tested material samples were subjected to five square voltage shapes, each characterized by their rise-time. Here the shortest was 0.75 µs, followed by 40, 80, 250 and the longest 500 µs, all tests run at 414 Hz. To compare the voltage endurance, the voltage level was gradually increased until detectable PD activity and tree initiation could be observed, both electrically and optically. Typically, continuous PD appearance was observed between 23 and 32 kVpp. The total number of PDs and their characteristics were monitored as the trees were gradually growing. Here the experimental results show that the PDs appears at lower voltage magnitudes for the shorter voltage rise times and that the trees had a significantly less branched appearance for these rise times as compared to longer rise times. These results resemble the observations that recently been presented with tests on DC voltage pre-stressed material samples exposed to impulses of reversed polarity. Additionally, the measured PD characteristics were distinct non-symmetric, having a clear polarity dependence for the shortest rise time. For 40 and 80 µs this tendency was much less clear and not observable for the two longest. This finding suggests a possibility to use the presented approach for a more detailed investigating of degradation processes in solid insulation systems suitable for both HVAC and HVDC applications.
Urine Proteomics and Renal Single‐Cell Transcriptomics Implicate Interleukin‐16 in Lupus Nephritis (2021)

Urine proteomics may profoundly change the diagnosis and management of LN by noninvasively monitoring active intrarenal biologic pathways. These findings implicate IL-16 in LN pathogenesis, designating it as a potentially treatable target and biomarker.
Designing a Senior Capstone Course to Satisfy Industrial Customers (1993)

Abstract It is sometimes forgotten that industry is an important customer of engineering education. Ignoring this relationship has produced graduates that often fail to meet the changing needs of industry in today's competitive environment. On the basis of feedback from our industrial customers, faculty from Mechanical Engineering and Manufacturing Engineering at Brigham Young University have jointly developed a new senior capstone design course entitled “Integrated Product and Process Design.” This new capstone course is centered on industrial design and manufacturing projects. These projects involve both product and process design activities. Multidisciplinary teams of students are taught a structured development approach to produce typical industrial deliverables. These deliverables include a functional specification, product and process design, prototype, and first production sample. This paper identifies changing industrial needs, describes how the course was designed to meet these needs, and presents results from the initial offerings of the course.
Self-assembly as a design tool for the integration of photonic structures into excitonic solar cells (2011)

One way to successfully enhance light harvesting of excitonic solar cells is the integration of optical elements that increase the photon path length in the light absorbing layer. Device architectures which incorporate structural order in form of one- or three-dimensional refractive index lattices can lead to the localization of light in specific parts of the spectrum, while retaining the cell's transparency in others. Herein, we present two routes for the integration of photonic crystals (PCs) into dye-sensitized solar cells (DSCs). In both cases, the self-assembly of soft matter plays a key role in the fabrication process of the TiO<sub>2</sub> electrode. One approach relies on a combination of colloidal self-assembly and the self-assembly of block copolymers, resulting in a double layer dye-sensitized solar cell with increased light absorption from the 3D PC element. An alternative route is based on the fact that the refractive index of the mesoporous layer can be finely tuned by the interplay between block copolymer self-assembly and hydrolytic TiO<sub>2</sub> sol-gel chemistry. Alternating deposition of high and low refractive index layers enables the integration of a 1D PC into a DSC.
Anatase TiO2 nanoparticle coating on porous COK-12 platelets as highly active and reusable photocatalysts (2016)

Coating of anatase TiO<sub>2</sub> nanoparticles on ordered mesoporous silica COK-12 platelets for effective photodegradation of various organic pollutants under UV light irradiation.
ChemInform Abstract: ON THE PHOTOCYCLOADDITION OF DIMETHYL ACETYLENEDICARBOXYLATE TO BENZO(B)THIOPHENE (1981)

Abstract Aus den Benzothiophenen (I) erhält man mit Acetylendicarbonsäuremethylester (II) bei der Photolyse in Aceton die Addukte (III) und (IV).
Volume phase transition kinetics of smart N-n-propylacrylamide microgels studied by time-resolved pressure jump small angle neutron scattering (2018)

The use of smart colloidal microgels for advanced applications critically depends on their response kinetics. We use pressure jump small angle neutron scattering with supreme time resolution to study the rapid volume phase transition kinetics of such microgels. Utilizing the pressure induced microphase separation inside the microgels we were able to resolve their collapse and swelling kinetics. While the collapse occurs on a time scale of 10 ms, the particle swelling turned out to be much faster. Photon correlation spectroscopy and static small angle neutron scattering unambiguously show, that the much slower collapse can be associated with the complex particle architecture exhibiting a loosely-crosslinked outer region and a denser inner core region. These insights into the kinetics of stimuli-responsive materials are of high relevance for their applications as nano-actuators, sensors or drug carriers. Moreover, the used refined pressure jump small angle neutron scattering technique is of broad interest for soft matter studies.
Clinician perspectives on strategies to improve patient maternal immunization acceptability in obstetrics and gynecology practice settings (2018)

Pregnancy is an ideal time to communicate with women about vaccines for themselves and their infants, yet maternal immunization rates remain suboptimal. This study aimed to identify clinic, provider, and staff-related attributes and facilitators to be utilized for a comprehensive vaccine intervention in ob-gyn clinical settings. We conducted in-depth interviews with 24 providers, both healthcare providers (e.g., physicians, nurse practitioners, midwives) and practice managers, from urban and suburban ob-gyn practices in Georgia and Colorado about their immunization attitudes, practices, and patient experiences. Qualitative analyses included Pearson correlation tests to evaluate patterns and relationships within the data to determine themes. Six major themes emerged: 1) strong provider "buy in" for maternal immunization; 2) the supporting role of clinical/interpersonal cues for vaccine promotion; 3) varying provider-patient communication approaches and its influence on maternal and pediatric uptake; 4) an urgent need for a designated office immunization champion; 5) reimbursement and practice implementation challenges; and 6) region differences in attitudes and values toward maternal immunization. Although providers expressed strong support for maternal immunization practices and offered environmental cues for vaccine promotion, practices often lacked a designated, structured role for an immunization champion equipped to manage delicate conversations with patients. The findings reflect needs for immunization champion identification, training, and support, along with best practices guidelines to improve coordination of vaccine promotion and delivery efforts in ob-gyn provider offices. Additionally, provider training on communication approaches to enhance acceptance and uptake of maternal vaccines is warranted.
A Concurrent Dual-Band Uneven Doherty Power Amplifier with Frequency-Dependent Input Power Division (2013)

A concurrent dual-band uneven GaN Doherty power amplifier (PA) for two wide-spacing frequencies application is proposed in this paper. To avoid an early load modulation-drop caused by the soft turn-on characteristic of the peaking device, an adaptive power division is realized by a frequency-dependent uneven power divider as well as the input matching nonlinearities of the two cells in Doherty PA. Due to the adaptive power division, the proposed dual-band uneven Doherty PA achieves a power-added efficiency of 45% and 41% at the 6 dB backoff from the saturation at 850 MHz and 2330 MHz, respectively, the gain of the proposed Doherty PA is also enhanced to 19 dB and 13 dB in the dual bands. Furthermore, a more accurate two-dimensional joint digital predistortion model (2D-JDPD) is applied to linearize the PA and compensate for the in-phase and quadrature (I/Q) imbalance simultaneously. With this new model, the adjacent channel power ratio (ACPR) is improved to better than -47.1 dBc and -49.4 dBc in the lower and upper bands at an average output power of 31.75 dBm, and a drain efficiency of 26.7% is obtained at the same time.
Frequency multiplexing (1986)

Recently, J. J. Hopfield described a simple model for the operation of neural networks. A Hopfield processor consists of a vector-matrix multiplier and a nonlinear feedback. Farhat and Psaltis have proposed an optical implementation of this model and emphasized a natural link between neural processing and optics. In this paper we present a modification of the Hopfield model, a memory composed of M vectors of, respectively, N bits. We define an equivalence class U ( M ), for each vector V ( M ). A probe vector is close to the vector V ( M ) if it is close enough (in the Hamming sense) to one of the shifted versions. The data are reorganized into S classes, class S containing the vectors shifted by S bits. For each class S we define a validation switch, which is a threshold version of the Hopfield energy. It can be shown that by a proper choice of the switch parameters, the latter is on for class S if and only if the probe is close to version S of one of the memories. Assuming the switch is on for class S , if the probe is shifted back by S bits and injected into a Hopfield processor, it will converge to vector V ( M ).
Low- and middle-income countries demonstrate rapid growth of type 2 diabetes: an analysis based on Global Burden of Disease 1990–2019 data (2022)

To download the data used in these analyses, please visit the Global Health Data Exchange at http://ghdx.healthdata.org/gbd-2019 .
Special Issue on Artificial Intelligence and Machine Learning for Networking and Communications (2019)

Research in large-scale networking systems has been shaped and will continue to be guided by specific characteristics of applications and the underlying platforms and infrastructures. On the one hand, applications are growing at an accelerated pace, which is fundamentally unpredictable in both breadth and depth. On the other hand, the underlying networking has been the focus of a huge transformation enabled by new models resulting from virtualization and cloud computing. This has led to a number of novel architectures supported by emerging technologies such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and more recently, edge cloud and fog networking, or network slicing <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> , <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> . This evolution towards enhanced design opportunities along with increasing complexity in networking and its applications has fueled the need for improved network automation in agile infrastructures. At the same time, their complexity has dramatically increased. The networking dynamics have had the effect of making it even more important and challenging to design scalable network measurement and analysis techniques and associated tools. Critical applications such as resource allocation, network monitoring, security enforcement, or dynamic network management require real-time mechanisms for online analysis as well as efficient techniques for offline deep analysis of massive historical data.
Effects of Imperfection in Spatial Optical Devices on Backpropagation Learning Capability of Optoelectronic Neural Network (1991)

Recently there has been a great deal of work on neural network. Offering massive parallelism, high speed, and crosstalk-free interconnection, optical implementation has been sought to fully exploit the parallel characteristics of neural networks (1,2) . In those optoelectronic neural networks, "two-dimensionally(2D) extended" and "discretely arrayed" devices, i.e. spatial light devices such as SLMs(spatial light modulators), arrayed light sources and detectors are utilized to enjoy the high parallelism of optics. However, at present it is not easy to obtain such perfect spatial light devices with characteristics satisfying theoretical performance; some have lack of spatial uniformity while others show limited signal-to-noise ratio and so on. Therefore, it is important to investigate the effects of imperfection of spatial optical devices on the system capability of optoelectronic neural network. The influence of interconnection weight discretization and noise in an optoelectronic neural network was reported (3) , but only by computer simulation.
Synthesis and characterization of the cobalt(III) complexes with tetraaza macrocyclic ligands having strategically appended functional groups (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSynthesis and characterization of the cobalt(III) complexes with tetraaza macrocyclic ligands having strategically appended functional groupsRuohua Zhang and Daryle H. BuschCite this: Inorg. Chem. 1993, 32, 22, 4920–4924Publication Date (Print):October 1, 1993Publication History Published online1 May 2002Published inissue 1 October 1993https://pubs.acs.org/doi/10.1021/ic00074a043https://doi.org/10.1021/ic00074a043research-articleACS PublicationsRequest reuse permissionsArticle Views152Altmetric-Citations9LEARN 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 Get e-Alerts
Proarrhythmic remodelling of the right ventricle in a porcine model of repaired tetralogy of Fallot (2016)

Significant remodelling of RV conduction and repolarisation properties was found in pigs with rTOF. This remodelling generates a proarrhythmic substrate likely to facilitate re-entries and to contribute to sudden cardiac death in patients with rTOF.
Interpreting fiber structure from polarization dependent optical anisotropy (2017)

Polarized light is commonly used to detect optical anisotropies, such as birefringence, in tissues. This optical anisotropy is often attributed to underlying structural anisotropy in tissue, which may originate from regularly aligned collagen fibers. In these cases, the optical anisotropy, such as birefringence, is interpreted as a relative measure of the structural anisotropy of the collagen fibers. However, the relative amplitude of optical anisotropy depends on factors other than fiber orientation, and few models allow quantitative interpretation of absolute measures of true fiber orientation distribution from the optical signal. Our model uses the Mie solution to scattering of linearly polarized light from infinite cylindrical scatterers. The model is expanded to include populations of scatterers with physiologically relevant size and orientation distributions. We investigated the influences of fiber diameter, orientation distribution, and wavelength on the back-scattering signal with our computational model, and used these results to extract structural information from experimental fiber phantoms and bovine tendon. Our results demonstrated that by fitting our model to the experimental data using limited assumptions, we could extract fiber orientation distributions and diameters that were comparable to those found in scanning electron microscope images of the same fiber sample. We found a higher alignment of fibers in the bovine tendon sample, and the extracted fiber diameter was within the expected physiological range. Our model showed that the amplitude of optical anisotropy can vary widely due to factors other than the orientation distribution of fiber structures, including index of refraction, and therefore should not be taken as a sole indicator of structural anisotropy. This work highlights that the accuracy of model assumptions plays a crucial role in extracting quantitative structural information from optical anisotropy.
Perforating Ocular Fishhook Injury (1992)

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