gebhart/patrepeval huggingface dataset:
Low-Rank Decomposition Based Restoration of Compressed Images via Adaptive Noise Estimation (2016)

Images coded at low bit rates in real-world applications usually suffer from significant compression noise, which significantly degrades the visual quality. Traditional denoising methods are not suitable for the content-dependent compression noise, which usually assume that noise is independent and with identical distribution. In this paper, we propose a unified framework of content-adaptive estimation and reduction for compression noise via low-rank decomposition of similar image patches. We first formulate the framework of compression noise reduction based upon low-rank decomposition. Compression noises are removed by soft thresholding the singular values in singular value decomposition of every group of similar image patches. For each group of similar patches, the thresholds are adaptively determined according to compression noise levels and singular values. We analyze the relationship of image statistical characteristics in spatial and transform domains, and estimate compression noise level for every group of similar patches from statistics in both domains jointly with quantization steps. Finally, quantization constraint is applied to estimated images to avoid over-smoothing. Extensive experimental results show that the proposed method not only improves the quality of compressed images obviously for post-processing, but are also helpful for computer vision tasks as a pre-processing method.
Supplementary Figure S3 from ZL-1211 Exhibits Robust Antitumor Activity by Enhancing ADCC and Activating NK Cell–mediated Inflammation in CLDN18.2-High and -Low Expressing Gastric Cancer Models (2023)

&lt;p&gt;Supplementary Figure 3 shows CLDN18.2 expression in gastric tumor cell lines and ZL-1211-induced CDC for the gastric tumor cell lines.&lt;/p&gt;
Impact of Slurry Composition on Properties of Cellular Alumina: A Computed Tomographic Study (2017)

Fine‐pored, 45 ppi (pores per linear inch) alumina foams are prepared from ceramic slurries with varying contents of additives (deflocculant, binder) and solid loading following a standardized procedure. Rheological key parameters (yield stress, high‐shear viscosity) of the respective slurries are determined by approximation of the experimental flow curves with appropriate rheological models. The resulting ceramic foams are characterized by computed tomography (CT) followed by a morphometric analysis of the reconstruction volume data. The main scope of the work involves the development of a procedure to reliably define the binarization threshold during these morphometric calculations, which is based on the analysis of the differential course of the total porosity results from calculations performed at varying binarization threshold values (“differential thresholding”). A very good match of the CT porosity results with experimental data is achieved, despite the unfavorable CT voxel resolution to foam structure fineness relation. The CT evaluation results are finally correlated to the rheological properties of the respective slurries used in foam manufacturing. The dominant slurry composition parameters are the weight fraction of the ceramic powder and the binder concentration. Increasing binder and solid content result in an increased yield stress and viscosity of the respective dispersion and consequently in a decreased porosity and cell size of the finally manufactured cellular ceramic.
Field tests of electroseismic hydrocarbon detection (2006)

Abstract Geophysicists, looking for new exploration tools, have studied the coupling between seismic and electromagnetic waves in the near-surface since the 1930s. Our research explores the possibility that electromagnetic-to-seismic (ES) conversion is useful at greater depths. Field tests of ES conversion over gas sands and carbonate oil reservoirs succeeded in delineating known hydrocarbon accumulations from depths up to 1500m. This is the first observation of electromagnetic-to-seismic coupling from surface electrodes and geophones. Electrodes at the earth's surface generate electric fields at the target and digital accelerometers detect the returning seismic wave. Conversion at depth is confirmed with hydrophones placed in wells. The gas sands yielded a linear ES response, as expected for electrokinetic energy conversion, and in qualitative agreement with numerical simulations. The carbonate oil reservoirs generate nonlinear conversions; a qualitatively new observation and a new probe of rock properties. The hard-rock results suggest applications in lithologies where seismic hydrocarbon indicators are weak. With greater effort, deeper penetration should be possible.
Field experience with advanced gas reburning for NO{sub x} emissions control (1998)

Gas Reburn (GR) is an emissions control technology where NO{sub x} is reduced by reaction with hydrocarbon fuel fragments. Natural gas is injected above the primary burners to produce a slightly-fuel rich zone where NO{sub x} is reduced by about 60%. Overfire air completes the gas combustion. Advanced Gas Reburn (AGR) is a synergistic integration of reburning and injection of a nitrogen agent (N-Agent) to achieve enhanced NO{sub x} emissions control. Rather than optimizing GR for maximum NO{sub x} reduction, the GR system is tuned to set up conditions which optimize the NO{sub x} reduction via N-Agent injection. The temperature window for N-Agent NO{sub x} reduction is significantly broader and deeper than that for conventional N-Agent injection (Selective Non-Catalytic Reduction). The combined effects of the two stage emissions control increases NO{sub x} control to nominally 85%. Advanced Gas Reburning (AGR) was installed as an upgrade to a commercial GR system on a 105 MW tangentially-fired utility boiler at New York State Electric and Gas Corporation`s Greenidge Station. Both the commercial GR system and the AGR upgrade were installed in a Spring 1996 outage. Following startup, a compliance test for GR was conducted to confirm that NO{sub x} was reduced tomore » less than 0.3 lb/10{sup 6} Btu, meeting the commercial guarantee. Parametric testing was conducted during 1997, and long term testing is planned for the 1998 ozone season. This paper presents the initial results, including NO{sub x} control and impacts on boiler performance, of the first full-scale application of AGR.« less
Point of View (2004)

From the Department of Orthoapedic Surgery, UC San Francisco, San Francisco, CA. The manuscript submitted does not contain information about medical device(s)/drug(s). No funds were received in support of this work. No benefits in any form have been or will be received from a commercial party related directly or indirectly to the subject of this manuscript. Address correspondence to Dr. Sigurd Berven, Assistant Professor in Residence, Department of Orthopaedic Surgery, UC San Francisco, 500 Parnassus Avenue, MU320W, San Francisco, CA 94143; E-mail: [email protected]
Patient specific evaluation of the volume of tissue influenced by subthalamic nucleus (STN) deep brain stimulation (DBS) for Parkinson"s Disease (PD) (2009)

LEMA
Bespoke brain immunity (2021)

The brain and spinal cord maintain a distinct cache of immune cells
Response surface method for optimisation of SLA processing parameters (2021)

In the current study, response surface method (RSM) was applied to correlate stereolithography (SLA) process parameters such as layer thickness, hatch overcure, and part orientation to SLA part characteristics such as density, surface finish and ultimate tensile strength (UTS). The results showed that density was directly proportional to the hatch overcure but inversely affecting the layer thickness. Besides, the hatch overcure was shown to have a positive effect on the UTS, while the layer thickness was found to influence the UTS adversely. Furthermore, the relationship between the layer thickness and surface roughness was suggested to be directly proportional. The optimised values of process parameters indicated by the response surface model were 90°, 0.12 mm and 0.1 µm for the part orientation, hatch overcure and layer thickness, respectively. The corresponding predicted density, UTS and surface roughness of an SLA part were 1,098 kg/m3, 42.8 MPa and 5.31 µm, respectively.
Energy-Efficient Convolutional Neural Network Based on Cellular Neural Network Using Beyond-CMOS Technologies (2019)

In this article, we perform a uniform benchmarking for the convolutional neural network (CoNN) based on the cellular neural network (CeNN) using a variety of beyond-CMOS technologies. Representative charge-based and spintronic device technologies are implemented to enable energy-efficient CeNN related computations. To alleviate the delay and energy overheads of the fully connected layer, a hybrid spintronic CeNN-based CoNN system is proposed. It is shown that low-power FETs and spintronic devices are promising candidates to implement energy-efficient CoNNs based on CeNNs. Specifically, more than 10× improvement in energy-delay product (EDP) is demonstrated for the systems using spin diffusion-based devices and tunneling FETs compared to their conventional CMOS counterparts.
Poor glycemic control attributable to insulin antibody in a fulminant type 1 diabetes patient under hemodialysis: successful treatment with double filtration plasmapheresis and prednisolone (2017)

Insulin antibody appears in approximately 40% of insulin users using human insulin and insulin analog formulations. Insulin antibody, characterized by high affinity and low insulin antibody binding capacity (% bound), rarely causes clinical problems including poor glycemic control. Recently, the insulin antibody against human insulin causing deterioration of glycemic control, characterized by low affinity and high insulin antibody binding capacity similar to those observed in insulin autoimmune syndrome, has been reported. A 62-year-old male developing fulminant type 1 diabetes showing rapid hyperglycemia (602 mg/dL) and normal range of glycoalbumin (GA) (18.4%) in the introductory stage of hemodialysis (HD) was transferred to our hospital 3 weeks after the onset of diabetes. He had been administered insulin intensification therapy in other medical clinic; however, his glycemic control remained poor, showing ketoacidosis. After hospitalization, he was initially administered intravenous insulin for 2 days and then switched to subcutaneous intensification therapy (24 U/day); the dose was gradually increased maximum of 72 U/day within 2 months. His glycemic control deteriorated despite high-dose insulin administration and change in the insulin type. Insulin antibody was detected, insulin antibody binding capacity (% bound) was of a high value (89.5%), GA was 32.9%, and casual blood glucose widely changed in continuous glucose monitor, suggesting that unstable blood glucose fluctuations caused by insulin antibody; therefore, treatment with double filtration plasmapheresis (DFPP) and prednisolone (PSL) was performed. The insulin dose reduced, and glycemic control improved from 1 month after the commencement of treatment. Subsequently, insulin antibody level remained high; however, after 6 months, % bound declined (20.9%), and glycemic control improved (GA 23.7%) by PSL (gradually reduced to 5 mg/day). The Scatchard plots also indicated the effectiveness with DFPP and PSL therapy. The authors present a unique case of fulminant type 1 diabetes developing during the HD introduction period. Although this is a rare complication, physicians specializing in dialysis therapy should also keep in mind that this is a life-threatening complication if the treatment is delayed and that concomitant therapy with apheresis such as DFPP and long-term steroids is effective in some cases when glycemic control deteriorates attributable to insulin antibody.
FusionFlow: Discrete-continuous optimization for optical flow estimation (2008)

Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely on continuous optimization algorithms. The modeling accuracy of the energy in this case is often traded for its tractability. This is in contrast to the related problem of narrow-baseline stereo matching, where the top-performing methods employ powerful discrete optimization algorithms such as graph cuts and message-passing to optimize highly non-convex energies. In this paper, we demonstrate how similar non-convex energies can be formulated and optimized discretely in the context of optical flow estimation. Starting with a set of candidate solutions that are produced by fast continuous flow estimation algorithms, the proposed method iteratively fuses these candidate solutions by the computation of minimum cuts on graphs. The obtained continuous-valued fusion result is then further improved using local gradient descent. Experimentally, we demonstrate that the proposed energy is an accurate model and that the proposed discrete-continuous optimization scheme not only finds lower energy solutions than traditional discrete or continuous optimization techniques, but also leads to flow estimates that outperform the current state-of-the-art.
Split and Use: Structural Isomers for Diagnosis and Therapy (2020)

Diagnostics and therapeutics are generally separate entities in medicine. Theranostics, agents that provide for both modalities, are being developed. However, they often require complex syntheses so as to incorporate within one molecular structure both diagnostic and therapeutic elements. Moreover, their use is often complicated by the disparate dosage requirements for diagnosis and therapy. Herein, we report that closely related porphyrinoid regioisomers produced from the same 1,3-dipolar cycloaddition reaction give rise to products that as their corresponding ytterbium(III) complexes may be split and used for the separate biological functions that are required for theranostics. Specifically, the <i>cis</i> isomer is luminescent and suitable for NIR imaging, while the <i>trans</i> isomer produces singlet oxygen with a good quantum yield and is thus attractive for use in photodynamic therapy (PDT). Both in vitro and in vivo experiments provide support for the complementary biological functions of the two regioisomers. The present study reveals how ostensibly related regioisomers may be used to switch between diagnosis and therapy. More broadly, it serves to highlight a new approach to creating paired sets of molecules that may be used in combination as effective theranostics.
Macrophage migration inhibitory factor (MIF) plays a critical role in pathogenesis of ultraviolet‐B (UVB) ‐induced nonmelanoma skin cancer (NMSC) (2008)

Mounting evidence suggests that macrophage migration inhibitory factor (MIF) may serve as an important link between chronic inflammation and cancer development. The proinflammatory and proangiogenic activities of MIF position it as a potentially important player in the development and progression of nonmelanoma skin cancer (NMSC). To assess the role of MIF in the development and progression of NMSC, we exposed MIF(-/-) BALB/c mice to acute and chronic ultraviolet B (UVB) irradiation. Our studies demonstrate that MIF(-/-) BALB/c mice have a significantly diminished acute inflammatory response to UVB exposure compared to wild-type mice, as measured by myeloperoxidase activity, dermal neutrophil infiltration, and edematous response. Relative to wild-type mice, MIF(-/-) mice also show significantly lower vascular endothelial growth factor (VEGF) concentrations in whole skin and significantly lower 8-oxo-dG adduct concentrations in epidermal DNA following UVB exposure. Furthermore, MIF(-/-) mice showed significant increases in p53 activity, epidermal thickness, and epidermal cell proliferation following acute UVB insult. In response to chronic UVB exposure, MIF(-/-) mice showed a 45% reduction in tumor incidence, significantly less angiogenesis, and delayed tumor progression when compared to their wild-type counterparts. These data indicate that MIF plays an important role in UVB-induced NMSC development and progression.
Tg.AC Genetically Altered Mouse: Assay Working Group Overview of Available Data (2001)

In a Government/Industry/Academic partnership to evaluate alternative approaches to carcinogenicity testing, 21 pharmaceutical agents representing a variety of chemical and pharmacological classes and possessing known human and or rodent carcinogenic potential were selected for study in several rodent models. The studies from this partnership project, coordinated by the International Life Sciences Institute, provide additional data to better understand the models' limitations and sensitivity in identifying carcinogens. The results of these alternative model studies were reviewed by members of Assay Working Groups (AWG) composed of scientists from government and industry with expertise in toxicology, genetics, statistics, and pathology. The Tg.AC genetically manipulated mouse was one of the models selected for this project based on previous studies indicating that Tg.AC mice seem to respond to topical application of either mutagenic or nonmutagenic carcinogens with papilloma formation at the site of application. This communication describes the results and AWG interpretations of studies conducted on 14 chemicals administered by the topical and oral (gavage and/or diet) routes to Tg.AC genetically manipulated mice. Cyclosporin A, an immunosuppresant human carcinogen, ethinyl estradiol and diethylstilbestrol (human hormone carcinogens) and clofibrate, an hepatocarcinogenic peroxisome proliferator in rodents, were considered clearly positive in the topical studies. In the oral studies, ethinyl estradiol and diethylstilbestrol were negative, cyclosporin was considered equivocal, and results were not available for the clofibrate study. Of the 3 genotoxic human carcinogens (phenacetin, melphalan, and cyclophosphamide), phenacetin was negative by both the topical and oral routes. Melphalan and cyclophosphamide are, respectively, direct and indirect DNA alkylating agents and topical administration of both caused equivocal responses. With the exception of clofibrate, Tg.AC mice did not exhibit tumor responses to the rodent carcinogens that were putative human noncarcinogens, (di(2-ethylhexyl) phthalate, methapyraline HCl, phenobarbital Na, reserpine, sulfamethoxazole or WY-14643, or the nongenotoxic, noncarcinogen, sulfisoxazole) regardless of route of administration. Based on the observed responses in these studies, it was concluded by the AWG that the Tg.AC model was not overly sensitive and possesses utility as an adjunct to the battery of toxicity studies used to establish human carcinogenic risk.
Role of Baseline HIV-1 DNA Level in Highly-Experienced Patients Receiving Raltegravir, Etravirine and Darunavir/Ritonavir Regimen (ANRS139 TRIO Trial) (2013)

In highly-experienced multidrug-resistant patients, HIV-1 DNA slightly decreased during the first month and then remained stable during the first year of highly potent antiretroviral regimen. In this population, baseline HIV-1 DNA might help to better predict the virological response and to tailor clinical therapeutic management as more aggressive therapeutic choices in patients with higher baseline HIV-1 DNA.
Characterisation of attenuation by sand in low-THz band (2017)

Research to quantify the attenuation of 150 GHz and 300 GHz EM waves in sand has been conducted and the results are presented in this paper to investigate the performance of low-THz sensing for outdoor applications when an antenna radome might be contaminated by sand, which is one of the most common types of contaminant in outdoor environments. The signal power deviation has been studied as a function of sand thickness and granule size. Five kinds of granule-size-calibrated silica sands and natural sand were used in the experiment. While the results confirms expected greater attenuation at 300 GHz than that at 150 GHz, it has also been shown that sand composed of coarser particles provide greater attenuation than that of finer particles, which challenges some previously reported results.
Application of Multilayer Observer for a Drive System with Flexibility (2021)

This paper proposes a new estimation algorithm based on the Luenberger observer methodology and multilayer concept. The proposed multi-layer Luenberger observer (MLO) is implemented in the control structure designated for a two-mass system. Two types of aggregation mechanism are evaluated in the paper. The MLO ensures better estimation quality of the mechanical state variables: motor speed, shaft torque, load speed and load torque, as compared to the classical single observer. The more accurate estimated states, the more precise closed-loop control is guaranteed. MLO is designated for the system where initial conditions of the plant are not known or the state variables can change rapidly (load torque in the considered case). The estimation algorithm and control strategy is evaluated through simulation and experimental tests. The obtained results confirm efficiency of the proposed MLO.
Stochastic parameter search for events (2014)

SParSE provides a novel, efficient, event-oriented parameter estimation method for computing parametric configurations that can be readily applied to any stochastic systems obeying chemical master equation (CME). Its usability and utility do not diminish with large systems as the algorithmic complexity for a given system is independent of the number of unknown reaction rate parameters.
Structural study of elements of Tetrahymena telomerase RNA stem–loop IV domain important for function (2006)

Tetrahymena telomerase RNA (TER) contains several regions in addition to the template that are important for function. Central among these is the stem-loop IV domain, which is involved in both catalysis and RNP assembly, and includes binding sites for both the holoenzyme assembly protein p65 and telomerase reverse transcriptase (TERT). Stem-loop IV contains two regions with high evolutionary sequence conservation: a central GA bulge between helices, and a terminal loop. We solved the solution structure of loop IV and modeled the structure of the helical region containing the GA bulge, using NMR and residual dipolar couplings. The central GA bulge with flanking C-G base pairs induces a approximately 50 degrees semi-rigid bend in the helix. Loop IV is highly structured, and contains a conserved C-U base pair at the top of the helical stem. Analysis of new and previous biochemical data in light of the structure provides a rationale for some of the sequence conservation in this region of TER. The results suggest that during holoenzyme assembly the protein p65 recognizes a bend in stem IV, and this binding to central stem IV helps to position the structured loop IV for interaction with TERT and other region(s) of TER.