gebhart/patrepeval huggingface dataset:
High Isolation Substrate Integrated Waveguide Passive Front-End for Millimeter-Wave Systems (2006)

A substrate integrated waveguide passive front-end is investigated and developed for low-cost and high isolation millimeter-wave applications. The system makes use of two uniformly excited 2times4 slot array antennas to create a dual-antenna platform for full-duplex systems. Measured antenna-to-antenna isolation is over 48 dB when the two antennas are placed along the same longitudinal axis. Two dual-mode SIW filters are also integrated to further increase the isolation up to 60 dB. Moreover, this system is not sensitive to the environment when obstacles are located more than 2 meters away
Summary Statement (2005)

The problems of neurologic injury, disc degeneration, and spinal pain are germane to all physicians who manage spinal deformities. In accordance with this Focus Issue’s theme of “Innovative Treatment Options for Spinal Deformity,” the prior four papers describe novel technologies that encompass biologic, biomechanical, and biophysical approaches. In the area of spinal cord injury, several experimental approaches have shown promise for promoting neurologic recovery in animal models and are emerging as potential therapies ready for human clinical trials. The urgency with which an effective treatment for these devastating injuries are needed, however, should not circumvent the requirement for all potential therapies to undergo rigorous safety and efficacy evaluation in well-designed, controlled clinical trials before their acceptance as a valid treatment in humans. Intervertebral disc matrix degradation and cellular loss are integral to the process of disc degeneration. In recent years, a variety of biologic strategies have been suggested to repair the degenerative disc. The current data suggest that a variety of cell types have the ability to survive transplantation to the disc and produce matrix proteins for at least short periods of time in animal models. At present, it remains unclear whether a cellular approach is capable of producing meaningful, long-term disc repair in humans. A significant hurdle in this line of research is the lack of understanding of the specific etiology of spinal pain, and the elusive correlation between pain and the histologic and morphologic signs of disc degeneration. Substantial future research is required to determine the efficacy of a cellular approach to disc repair and ultimately the effect of such a strategy on symptomatic disc degeneration in humans. Biophysical methods such as heat and ultrasound have been studied for the treatment of spinal pain, although the mechanisms of action and the underlying short- and long-term efficacy of biophysical methods remain undefined. Cryotherapy, which is at a very preliminary stage of investigation, represents a potential, novel approach treatment for spinal pain. Substantial research will be required to characterize the safety and biologic effects of cryotherapy before consideration of clinical trials. Within this section, cervical disc replacement is the farthest along the path to clinical adoption with several FDA IDE trials in progress across North America. Despite the current enthusiasm for motion preservation in the spine, it is not yet clear whether cervical disc replacement will produce a true clinical benefit when compared with cervical fusion. It is worth remembering that anterior cervical decompression and fusion has traditionally been considered one of the most successful of spine surgeries. New complications related to cervical disc replacement are likely to occur, and the longevity of the implant and consequences of wear debris are unknown.
TenCirChem: An Efficient Quantum Computational Chemistry Package for the NISQ Era (2023)

TenCirChem is an open-source Python library for simulating variational quantum algorithms for quantum computational chemistry. TenCirChem shows high performance on the simulation of unitary coupled-cluster circuits, using compact representations of quantum states and excitation operators. Additionally, TenCirChem supports noisy circuit simulation and provides algorithms for variational quantum dynamics. TenCirChem's capabilities are demonstrated through various examples, such as the calculation of the potential energy curve of $\textrm{H}_2\textrm{O}$ with a 6-31G(d) basis set using a 34-qubit quantum circuit, the examination of the impact of quantum gate errors on the variational energy of the $\textrm{H}_2$ molecule, and the exploration of the Marcus inverted region for charge transfer rate based on variational quantum dynamics. Furthermore, TenCirChem is capable of running real quantum hardware experiments, making it a versatile tool for both simulation and experimentation in the field of quantum computational chemistry.
Susceptibility of magnetic information storage to power frequency magnetic fields (2013)

The potential for loss of magnetically stored information in the presence of power frequency magnetic fields is described in terms of fundamental physical mechanisms. Three important mechanisms are identified: (1) short term erasure when external fields are high enough to be a significant fraction of the demagnetizing field, (2) long term thermal degradation when external fields exceed a magnetic field associated with the acceleration of the natural thermal degradation process to an unacceptable level, and (3) concentration of magnetic flux by recording equipment, leading to erasure, augmented thermal degradation or corruption of the recording process. Quantitative expressions are developed for evaluation of the first two mechanisms in terms of fundamental magnetic properties of the recording medium, and a 3-D finite element simulation is used to quantitatively assess the third mechanism for a modern recording head. The first two mechanisms typically require field levels much larger than ordinary power frequency fields, but the third mechanism can lead to local fields large enough to bring the prior mechanisms into play. Results are put in the context of prior published standards and descriptions.
Re: Tumour-Infiltrating Gr-1+ Myeloid Cells Antagonize Senescence in Cancer (2015)

No AccessJournal of UrologyInvestigative Urology1 Jun 2015Re: Tumour-Infiltrating Gr-1+ Myeloid Cells Antagonize Senescence in Cancer Anthony AtalaMD Anthony AtalaAnthony Atala More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.03.004AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Re: Tumour-Infiltrating Gr-1+ Myeloid Cells Antagonize Senescence in Cancer." The Journal of Urology, 193(6), pp. 2146–2147 © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 6June 2015Page: 2146-2147Supplementary Materials Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Anthony Atala More articles by this author Expand All Advertisement PDF downloadLoading ...
Complement Factor H Polymorphism p.Tyr402His and Cuticular Drusen (2007)

The c.1204T>C, p.Tyr402His allelic variant in the CFH gene is associated with a 3-fold increased risk for AMD. A high frequency of the histidine allele has also been noted in patients with membranoproliferative glomerulonephritis type II.
Redox-Sensitive Cerium Oxide Nanoparticles Protect Human Keratinocytes from Oxidative Stress Induced by Glutathione Depletion (2016)

Cerium oxide nanoparticles (CeNPs) have gathered much attention in the biomedical field due to its unique antioxidant property. It can protect cells and tissues from oxidative stress induced damage due to its autoregenerative redox cycle. Our study explores the antioxidant and antigenotoxic behavior of PEGylated CeNPs toward oxidative insult produced by buthionine sulfoximine (BSO) in human keratinocytes (HaCaT cells). BSO inhibits the γ-glutamylcysteinesynthetase (γ-GCS) enzyme and thus acts as a glutathione (GSH) depleting agent to modulate the cellular redox potential. GSH is a natural ROS scavenger present in the mammalian cells, and its depletion causes generation of reactive oxygen species (ROS). In this study, we challenged HaCaT cells (keratinocytes) with BSO to alter the redox potential within the cell and monitored toxicity, ROS generation, and nuclear fragmentation. We also followed changes in expressions of related proteins and genes. We found that PEGylated CeNPs can protect HaCaT cells from BSO-induced oxidative damage. BSO-exposed cells, preincubated with PEGylated CeNPs, showed better cell survival and significant decrease in the intracellular levels of ROS. We also observed decrease in lactate dehydrogenase (LDH) release and nuclear fragmentation in CeNP-treated cells that were challenged with BSO as compared to treatment with BSO alone. Exposure of HaCaT cells with BSO leads to altered expression of antioxidant genes and proteins, i.e., thioredoxin reductase (TrxR) and peroxiredoxin 6 (Prx6) whereas, in our study, pretreatment of PEGylated CeNPs reduces the need for induction of genes that produce enzymes involved in the defense against oxidative stress. Since, growing evidence argued the involvement of ROS in mediating death of mammalian cells in several ailments, our finding reinforces the use of PEGylated CeNPs as a potent pharmacological agent under the lower cellular GSH/GSSG ratios for the treatment of diseases mediated by free radicals.
A Hybrid Approach for Efficient Modeling of Medium-Frequency Propagation in Coal Mines (2015)

An efficient procedure for modeling medium frequency (MF) communications in coal mines is introduced. In particular, a hybrid approach is formulated and demonstrated utilizing ideal transmission line equations to model MF propagation in combination with full-wave sections used for accurate simulation of local antenna-line coupling and other near-field effects. This work confirms that the hybrid method accurately models signal propagation from a source to a load for various system geometries and material compositions, while significantly reducing computation time. With such dramatic improvement to solution times, it becomes feasible to perform large-scale optimizations with the primary motivation of improving communications in coal mines both for daily operations and emergency response. Furthermore, it is demonstrated that the hybrid approach is suitable for modeling and optimizing large communication networks in coal mines that may otherwise be intractable to simulate using traditional full-wave techniques such as moment methods or finite-element analysis.
Honey: Antimicrobial Actions and Role in Disease Management (2008)

This chapter contains sections titled: Introduction Nature of the Antimicrobial Activity of Honey Spectrum and Potency of the Antimicrobial Activity of Honey Other Actions Clinical Uses of Honey as an Antimicrobial Agent Clinical Evidence for Effectiveness of Honey on Infected Wounds Resistant Bacteria Benefits Apart from Control of Infection in Topical Treatment with Honey Future Directions References
Solvent‐Free Heck—Jeffery Reactions under Ball‐Milling Conditions Applied to the Synthesis Unnatural Amino Acids Precursors and Indoles. (2006)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Kinetic acidity as a probe for spiroaromaticity in a spiro[2.3]hexadiene (1972)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTKinetic acidity as a probe for spiroaromaticity in a spiro[2.3]hexadieneM. F. Semmelhack, R. J. De Franco, Z. Margolin, and J. StockCite this: J. Am. Chem. Soc. 1972, 94, 6, 2115–2116Publication Date (Print):March 1, 1972Publication History Published online1 May 2002Published inissue 1 March 1972https://pubs.acs.org/doi/10.1021/ja00761a055https://doi.org/10.1021/ja00761a055research-articleACS PublicationsRequest reuse permissionsArticle Views62Altmetric-Citations6LEARN 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
Potential Long-term Effects of MDMA on the Basal Ganglia–Thalamocortical Circuit: A Proton MR Spectroscopy and Diffusion-Tensor Imaging Study (2011)

Increased myo-inositol and Cho concentrations in the basal ganglia of MDMA users are suggestive of glial response to degenerating serotonergic functions. The abnormal metabolic changes in the basal ganglia may consequently affect the inhibitory effect of the basal ganglia to the thalamus, as suggested by the increased FA in the thalamus and abnormal changes in water diffusion in the corresponding basal ganglia-thalamocortical circuit.
Integrin αvβ6 critically regulates hepatic progenitor cell function and promotes ductular reaction, fibrosis, and tumorigenesis (2015)

These results suggest that αvβ6 is a promising target for chronic fibrotic liver diseases and associated cancers.
Magnetic microgels, a promising candidate for enhanced magnetic adsorbent particles in bioseparation: synthesis, physicochemical characterization, and separation performance (2014)

For specific applications in the field of high gradient magnetic separation of biomaterials, magnetic nanoparticle clusters of controlled size and high magnetic moment in an external magnetic field are of particular interest. We report the synthesis and characterization of magnetic microgels designed for magnetic separation purposes, as well as the separation efficiency of the obtained microgel particles. High magnetization magnetic microgels with superparamagnetic behaviour were obtained in a two-step synthesis procedure by a miniemulsion technique using highly stable ferrofluid on a volatile nonpolar carrier. Spherical clusters of closely packed hydrophobic oleic acid-coated magnetite nanoparticles were coated with cross linked polymer shells of polyacrylic acid, poly-N-isopropylacrylamide, and poly-3-acrylamidopropyl trimethylammonium chloride. The morphology, size distribution, chemical surface composition, and magnetic properties of the magnetic microgels were determined using transmission electron microscopy, X-ray photoelectron spectroscopy, and vibrating sample magnetometry. Magnetically induced phase condensation in aqueous suspensions of magnetic microgels was investigated by optical microscopy and static light scattering. The condensed phase consists of elongated oblong structures oriented in the direction of the external magnetic field and may grow up to several microns in thickness and tens or even hundreds of microns in length. The dependence of phase condensation magnetic supersaturation on the magnetic field intensity was determined. The experiments using high gradient magnetic separation show high values of separation efficiency (99.9-99.97%) for the magnetic microgels.
A microscopic model for catalyst surfaces. ii. supported catalysts. Technical summary report (1982)

A new 'pebbly surface' model of supported metal catalysts is presented which can explain observed multiplicity and oscillatory behaviour of catalyst particles. This model combines the dynamic behaviour of the individual metal crystallites on the surface of the support with diffusion and heat transfer processes in the porous particle. The bifurcation of oscillations is analyzed in terms of relaxation oscillations as well as by Hopf's theorem and it is shown how the bifurcation phenomena depend on the system parameters. The parameter study may be used to suggest operating conditions and catalyst design parameters such that sintering effects may be reduced. Qualitative comparisons with data for carbon monoxide oxidation at various temperatures show very good agreement; however, this present simple form of the pebbly surface model seems unable to predict the long period oscillations observed in hydrogen oxidation.
Vvenc: An Open And Optimized Vvc Encoder Implementation (2021)

The recently finalized Versatile Video Coding (VVC) standard promises to reduce the video bitrate by 50% compared to its predecessor, High Efficiency Video Coding (HEVC). The increased efficiency comes at a cost of increased computational burden. The Fraunhofer Versatile Video Encoder VVenC is the first openly available optimized implementation providing access to VVC’s efficiency at only 46% of the runtime of the VVC test model VTM, when not using multi-threading. An alternative operating point allows $30 \times$ faster encoding for the price of around 12% bitrate increase, while still providing around 38% bitrate reduction compared to HEVC test model HM. In the fastest configuration, VVenC runs over $140 \times$ faster than VTM while still providing over 10% bitrate reduction compared to HM. Even faster encoding is possible with multi-threading. This paper provides an overview of VVenC’s main features and some evaluation results.
Long-Term Effects of a Novel Continuous Remote Care Intervention Including Nutritional Ketosis for the Management of Type 2 Diabetes: A 2-Year Non-randomized Clinical Trial (2019)

<b>Purpose:</b> Studies on long-term sustainability of low-carbohydrate approaches to treat diabetes are limited. We previously reported the effectiveness of a novel digitally-monitored continuous care intervention (CCI) including nutritional ketosis in improving weight, glycemic outcomes, lipid, and liver marker changes at 1 year. Here, we assess the effects of the CCI at 2 years. <b>Materials and methods:</b> An open label, non-randomized, controlled study with 262 and 87 participants with T2D were enrolled in the CCI and usual care (UC) groups, respectively. Primary outcomes were retention, glycemic control, and weight changes at 2 years. Secondary outcomes included changes in body composition, liver, cardiovascular, kidney, thyroid and inflammatory markers, diabetes medication use and disease status. <b>Results:</b> Reductions from baseline to 2 years in the CCI group resulting from intent-to-treat analyses included: HbA1c, fasting glucose, fasting insulin, weight, systolic blood pressure, diastolic blood pressure, triglycerides, and liver alanine transaminase, and HDL-C increased. Spine bone mineral density in the CCI group was unchanged. Use of any glycemic control medication (excluding metformin) among CCI participants declined (from 55.7 to 26.8%) including insulin (-62%) and sulfonylureas (-100%). The UC group had no changes in these parameters (except uric acid and anion gap) or diabetes medication use. There was also resolution of diabetes (reversal, 53.5%; remission, 17.6%) in the CCI group but not in UC. All the reported improvements had <i>p</i> < 0.00012. <b>Conclusion:</b> The CCI group sustained long-term beneficial effects on multiple clinical markers of diabetes and cardiometabolic health at 2 years while utilizing less medication. The intervention was also effective in the resolution of diabetes and visceral obesity with no adverse effect on bone health. <b>Clinical Trial Registration:</b> Clinicaltrials.gov NCT02519309.
Supervised Contrastive Learning for Robust and Efficient Multi-modal Emotion and Sentiment Analysis (2022)

Expression of human emotion and sentiment are often multi-modal consisting use of spoken speech, vision, and text. Combining multiple modalities allows learning-based models to benefit with the complementary information present across modalities to produce more accurate predictions. One of the bigger challenges in multi-modal affective computing is performance consistency in non-ideal scenarios. Most benchmarks fail to generalize in non-ideal scenarios where one of the modalities is missing or highly corrupted due to occlusion, sensor errors, or change of orientation. Consequently, various modality fusion approaches were proposed. However, most of these fusion approaches assume that each modality is equally useful. To address the challenge of performance consistency, in this work we propose to use supervised contrastive learning (SCL). We demonstrate through various experiments and comparison with state-of-the-art (SOTA) methods that the model robustness against corrupted and missing modalities improves when trained with SCL. Next, we use the Perceiver architecture [1] in order to efficiently combine the representations of different modalities. Its iterative attention mechanism allows to create a reduced latent representation in an efficient manner. We observe that it can accommodate a wide range of modality combinations, allowing for robust information fusion. Our approach allows reduction of model complexity and efficient fusion of different modalities, while maintaining the performance consistency and model robustness. We conduct ablation experiments to study the effect of each contribution in different scenarios, and we show that the proposed methods outperform the state-of-art, while simultaneously being robust to corrupted modalities. Our method also outperforms its counterparts and SOTA while using less numerical complexity (inference times and compute operations).
Evaluating the Characteristics of Reporter Ion Signal Acquired in the Orbitrap Analyzer for Isobaric Mass Tag Proteome Quantification Experiments (2017)

Multiplexed quantification with isobaric chemical tags (e.g., TMT, iTRAQ) provides a robust and efficient means to comparatively examine proteome dynamics between several biological states using a mass spectrometer (MS). The quantitative nature of isobaric tags necessitates strict validation of the observed ion signals in the chosen MS detector before differential patterns are extracted between biological states. We present an in-depth analysis of isobaric tag data acquired on current generation Orbitrap MS hardware to illustrate pitfalls in acquisition settings that can negatively impact results. We establish, for the first time, the presence of a notch, a region of no observed values, in the reporter ion distributions from isobaric-labeled peptide mixtures acquired on these instruments. We determine that this notch is present in published data across a wide range of instruments of the same or different type and is isolated to the Orbitrap mass analyzer. We demonstrate that the impact of the notch can be minimized using manipulations of Orbitrap scan parameters and on-column injection amounts. Lastly, using a mixture of synthetic standard peptides we investigated the impact on identification rates and quantification precision. Together, these data highlight an important phenomenon that negatively impacts peptide identification and quantification in the Orbitrap analyzer as well as outlining guidelines to follow to ensure minimization of MS-induced artifacts in isobaric tag experiments resulting from the notch.