gebhart/patrepeval huggingface dataset:
A Performance Prediction Model for Low-Speed Centrifugal Fans (2014)

A generalized model for mapping the trend of the performance characteristics of a double-discharge centrifugal fan is developed based on the work by Casey and Robinson (C&amp;R), which formulated compressor performance maps for tip-speed Mach numbers ranging from 0.4 to 2 using test data obtained from turbochargers with vaneless diffusers. The current paper focuses on low-speed applications for Mach number below 0.4. The C&amp;R model uses four nondimensional parameters at the design condition including the flow coefficient, the work input coefficient, the tip-speed Mach number, and the polytropic efficiency, in developing a prediction model that requires limited geometrical knowledge of the centrifugal turbomachine. For the low-speed fan case, the C&amp;R formulas are further extended to a low-speed, incompressible analysis. The effort described in this paper begins by comparing generalized results using efficiency data obtained from a series of fan measurements to that using the C&amp;R model. For the efficiency map, the C&amp;R model is found to heavily depend on the ratio of the flow coefficient at peak efficiency to that at the choke flow condition. Since choke flow is generally not applicable in the low-speed centrifugal fan operational environment, an alternate, but accurate estimation method based on fan free delivery derived from the fan test data is presented. Using this new estimation procedure, the modified C&amp;R model predicts reasonably well using the double-discharge centrifugal fan data for high-flow coefficients, but fails to correlate with the data for low-flow coefficients. To address this undesirable characteristic, additional modifications to the C&amp;R model are also presented for the fan application at low flow conditions. A Reynolds number correction is implemented in the work input prediction of the C&amp;R model to account for low-speed test conditions. The new model provides reasonable prediction with the current fan data in both work input and pressure rise coefficients. Along with the developments for the efficiency and work input coefficient maps, the use of fan shut-off and free delivery conditions are also discussed for low-speed applications.
Understanding patient preferences in anti-VEGF treatment options for age-related macular degeneration (2022)

Vision quality was the most important attribute followed by the out-of-pocket costs. Given the same outcomes, patients preferred treatment regimens which require fewer total clinic visits. In comparison, injection frequency alone did not influence patient preferences. With increasing treatment options for nAMD, understanding patients' preferences can help clinicians in selecting agents and treatment regimen most preferred for each patient, which may lead to improved long-term adherence and outcomes.
Multi-Stream Transmission in Massive MIMO Systems With Full-Duplex Bi-Directional Communication Links (2023)

This paper considers a full-duplex (FD) multi-user massive multiple-input multiple-output system where the base station (BS) and user equipment (UE) bi-directionally transmit and receive multiple independent data streams over the same frequency band. The BS and UEs are equipped with a large-scale antenna array. Accounting for imperfect channel state information, we derive the closed-form expressions for the achievable sum-rate and sum spectral efficiency (SE) for the proposed model using maximum-ratio combining and zero-forcing detection. The analytical solutions are verified with simulations. In addition, our analytical results highlight the benefits of multi-stream transmission and show an improved SE for fewer UEs. Moreover, the results show that increasing the antenna array size helps combat self-interference.
Identification of N-Linked Glycosylation Sites Using Glycoprotein Digestion with Pronase Prior to MALDI Tandem Time-of-Flight Mass Spectrometry (2007)

Glycopeptides are typically prepared by cleaving the proteins with specific proteolytic enzymes, such as trypsin. The resulting glycopeptides tend to have weak mass spectrometry ion signals (ESI or MALDI) due to their relatively large molecular weight. The identification of glycosylation sites with tandem mass spectrometry is further complicated by fragmentation of both the peptide backbone and the glycan moiety. We explored a method using a nonspecific enzyme, pronase, to generate small glycopeptides (between two and six amino acids). These glycopeptides were enriched and desalted using a microscale hydrophilic interaction chromatography extraction device prior to MALDI QTof MS analysis. MALDI matrix, 2, 5-dihydroxybenzoic acid, doped with ammonium triscitrate, was utilized for analysis. Sodiated ions were observed as minor ions, while protonated ions were enhanced dramatically with this matrix. Collision-induced dissociation was performed on both the protonated and sodiated ions. MS/MS fragmentation spectra reveal that proton has greater affinity for the peptide moiety, while the sodium cation tends to associate with the sugar moiety. Characteristic fragment patterns allowed for identifications of glycosylation sites for both the protonated and the sodiated precursor ions. Model proteins, horseradish peroxidase and alpha1-acid glycoproteins, were analyzed to illustrate the identification of N-linked glycosylation sites and data interpretation algorithm.
Surface Engineering of Transparent Cellulose Nanocrystal Coatings for Biomedical Applications (2018)

The concept of blood typing diagnostics using blood drops dried onto transparent cellulose nanocrystal thin film (∼35 nm) coatings has been demonstrated. The substrate onto which the blood drops are dried plays an important role in such tests, depending on surface composition, roughness, and wettability. The drying profile of three different fluid dispersions: model latex particles, reagent blood cells, and whole human blood was studied on a range of different surfaces, including cellulose nanocrystals (CNCs), regenerated cellulose, and several hydrophobic polymers, in order to understand the role of surface chemistry, roughness, and fluid dispersion properties. The morphology of these surfaces was investigated using atomic force microscopy, roughness was calculated, and wettability was explored via contact angle measurement. The morphology of dried drops of human blood on different cellulosic surfaces was compared in order to understand the importance of cellulose crystallinity. Well-defined dried blood drops were observed on random and aligned CNC surfaces, facilitating visualization of individual cells. A simple antibody-antigen test was used to demonstrate the effectiveness of the CNC substrate for blood testing, showing high and reproducible selectivity.
Synthesis of Nanoporous Cubic In(CN)3 and In1-xGax(CN)3 and Corresponding Inclusion Compounds (1998)

Anhydrous In(CN)3 and In1-xGax(CN)3 phases with empty Prussian-blue-type structures have been prepared via low-temperature solution methods utilizing molecular templating agents. Quantitative X-ray powder diffraction was used to refine the In(CN)3 cubic structure in which In is octahedrally surrounded by an average of three C and three N atoms. The symmetry is Pm3̄m, a = 5.627(1) Å, and the In−(C,N) and C−N bond lengths are 2.251(1) and 1.125(1) Å, respectively. The compound reversibly incorporates krypton atoms into the empty cavities to form In(CN)3·Kr, which is readily identified by powder diffraction. Similar inclusion systems with n-hexane in the porous framework are also synthesized. In1-xGax(CN)3 solid solutions are formed by suitable combinations of the binary systems and have lattice constants adjustable between 5.293 Å for Ga(CN)3 and 5.627(1) Å for In(CN)3. The variation of the lattice parameters with composition obeys Vegard's Law.
Influence of sequence and interval on the biological response to combined hyperthermia and radiation. (1982)

Experimental studies on the influence of sequence and interval between hyperthermia and radiation are reviewed. In general, experimental data in vitro and in tumor and normal tissues agree and indicate that maximal thermal enhancement occurs after simultaneous application of heat and radiation. However, such treatment is likely to enhance both tumor and normal tissue to the same degree and therefore does not increase the therapeutic effect. In normal tissue, sequential treatment with heat before radiation causes a higher and longer thermal enhancement than with the opposite sequence in which the thermal enhancement generally disappears with intervals greater than 4 hours. However, in most solid tumors, a moderate thermal enhancement exists with long intervals between the modalities independent of sequence and is probably a consequence of a direct hyperthermic destruction of the acidic and chronically hypoxic cells. Based on this biological conclusion, the clinical application of hyperthermia and radiation is discussed in the light of the technical problems related to the application of a homogeneous and selective local tumor heating.
Involvement of plasma membrane complexes in cellulose deposition in desmids (1989)

Deposition of cellulose microfibrils in oriented patterns in plant cell walls is believed to be one of the mechanisms by which cell shape is controlled. In some desmids, such as Closterium . circumferentially oriented microfibrils appear to help generate an elongated spindle shaped cell. In contrast, the primary cell wall of Micrasterias contains an apparently random meshwork of microfibrils, yet an elaborate multi-lobed semicell is formed. Freeze-etch electron microscopy of unfixed, ultrarapidly frozen desmids was undertaken to identify plasma membrane and cytoskeletal elements that may participate in the deposition and orientation of cellulose microfibrils. Micrasterias denticulata and a Closterium sp. were grown under a light/dark cycle to induce partial synchronization of cell division. Groups of several cells at the desired stage of semicell regeneration were loaded between two modified Balzers gold planchets coated with a slurry of yeast. A slot grid spacer prevented the cells from being crushed. Specimens were frozen in a propane jet freezing device designed by Gilkey and Staehelin. Replicas were produced in a Balzers BA 360 freeze-etch device and examined in a JEOL 100 CX electron microscope.
Decentralized Systems (2022)

The articles in this special section focuses on decentralized systems. Our world is filled with decentralized systems, human society and organizations being the most familiar examples. In such systems, we see multiple loci of ownership or control, representing different parties or administrative domains. That is, the members of a decentralized system are, belong to, or represent different people or organizations. We use the term decentralized system to mean any system formed of autonomous entities, with a special interest in cases where the entities are heterogeneous. Autonomy here refers to the decision-making capacity of an entity, meaning that it decides for itself. In other words, autonomy reflects the freedom to act. Heterogeneity here refers to the design, construction, and configuration of an entity, meaning that it is potentially built on distinct grounds from any other entity. In other words, heterogeneity reflects the freedom of a designer to apply any reasoning method on any available information.
Tumor Colonization and Therapy by Escherichia coli Nissle 1917 Strain in Syngeneic Tumor-Bearing Mice Is Strongly Affected by the Gut Microbiome (2022)

In the past, different bacterial species have been tested for cancer therapy in preclinical and clinical studies. The success of bacterial cancer therapy is mainly dependent on the ability of the utilized bacteria to overcome the host immune defense system to colonize the tumors and to initiate tumor-specific immunity. In recent years, several groups have demonstrated that the gut microbiome plays an important role of modulation of the host immune response and has an impact on therapeutic responses in murine models and in cohorts of human cancer patients. Here we analyzed the impact of the gut microbiome on tumor colonization and tumor therapy by the <i>Escherichia coli</i> Nissle 1917 (EcN) strain. This EcN strain is a promising cancer therapy candidate with probiotic properties. In our study, we observed significantly better tumor colonization by EcN after antibiotic-induced temporal depletion of the gut microbiome and after two intranasal applications of the EcN derivate (EcN/pMUT-gfp Kn<sup>r</sup>) in 4T1 tumor-bearing syngeneic BALB/c mice. In addition, we demonstrated significant reduction in tumor growth and extended survival of the EcN-treated mice in contrast to phosphate-buffered saline (PBS)-treated tumor-bearing control animals. Multispectral imaging of immune cells revealed that depletion of the gut microbiome led to significantly lower infiltration of cytotoxic and helper T cells (CD4 and CD8 cells) in PBS tumors of mice pretreated with antibiotics in comparison with antibiotic untreated PBS-or EcN treated mice. These findings may help in the future advancement of cancer treatment strategies using <i>E. coli</i> Nissle 1917.
Imaging of Convection Enhanced Delivery of Toxins in Humans (2011)

Drug delivery of immunotoxins to brain tumors circumventing the blood brain barrier is a significant challenge. Convection-enhanced delivery (CED) circumvents the blood brain barrier through direct intracerebral application using a hydrostatic pressure gradient to percolate therapeutic compounds throughout the interstitial spaces of infiltrated brain and tumors. The efficacy of CED is determined through the distribution of the therapeutic agent to the targeted region. The vast majority of patients fail to receive a significant amount of coverage of the area at risk for tumor recurrence. Understanding this challenge, it is surprising that so little work has been done to monitor the delivery of therapeutic agents using this novel approach. Here we present a review of imaging in convection enhanced delivery monitoring of toxins in humans, and discuss future challenges in the field.
Engineered Pyranose 2‐Oxidase: Efficiently Turning Sugars into Electrical Energy (2010)

Abstract Due to the recent interest in enzymatic biofuel cells (BFCs), sugar oxidizing enzymes other than the commonly used glucose oxidase are gaining more importance as possible bioelements of implantable microscale‐devices, which can, for example, be used in biosensors and pacemakers. In this study we used rational and semi‐rational protein design to improve the catalytic activity of the enzyme pyranose 2‐oxidase (P2Ox) with its alternative soluble electron acceptors 1,4‐benzoquinone and ferricenium ion, which can serve as electron mediators, to possibly boost the power output of enzymatic BFCs. Using a screening assay based on 96‐well plates, we identified the variant H450G, which showed lower K M and higher k cat values for both 1,4‐benzoquinone and ferricenium ion compared to the wild‐type enzyme, when either D ‐glucose or D ‐galactose were used as saturating electron donors. Besides this variant, we analyzed the variants V546C and T169G/V546C for their possible application in enzymatic BFCs. The results obtained in homogeneous solution were compared with those obtained when P2Ox was immobilized on the surface of graphite electrodes and either “wired” to an osmium redox polymer or using soluble 1,4‐benzoquinone as mediator. According to the spectrophotometrically determined kinetic constants, the possible energy output, measured in flow injection analysis experiments with these variants, increased up to 4‐fold compared to systems employing the wild‐type enzyme.
Adaptive comb filters for quasiperiodic physiologic signals (2004)

Quasi-periodic physiologic signals such as the electrocardiogram (ECG) and pulse oximetry are sensitive to artifact and noise caused by patient movement, electrical interference, and sensor movement. This reduces the accuracy of algorithms that process these signals such as QRS detectors. The noise cannot be completely eliminated by traditional bandpass filters because the signal bandwidth often has significant overlap with the bandwidth of the artifact. We describe a simple adaptive comb filter (ACF) that attenuates the noise power between the signal harmonics and continuously estimates the heart rate without detecting individual beats. The filter applied to each harmonic has a finite impulse response (FIR), a user-specified bandwidth, and linear-phase to prevent distortion of the signal morphology.
Additional file 10: of Establishment of high reciprocal connectivity between clonal cortical neurons is regulated by the Dnmt3b DNA methyltransferase and clustered protocadherins (2016)

Figure S1. Dendritic morphology of recorded layer 4 neurons. (A, B) Traces from spiny stellate cells visualized by biocytin staining in layer 4 of the barrel cortex at P18â 20. Images show seven neurons from wild-type nonchimeric mice (A), and nine GFP-positive neurons (P cells) from wild-type chimeric mice (B). Scale bar: 100Â Îźm. (PDF 673 kb)
Image summaries using database saliency (2009)

It is useful to have a small set of representative images from a database of thousands of images to summarize its content. There are two key aspects of such image summaries: how to generate them and how to present them. We address both issues. We extend the idea of image saliency to databases and introduce the notion of database saliency. We argue that in image databases, there are certain images that are more uncommon or salient than others and therefore are more interesting. We compute the database saliency value of an image as its total distance from all the pre-defined cluster centers of the database. We demonstrate the use of database saliency in two visualization applications: creating image collages and mosaics using automatically chosen salient images.
Finite-State-Machine Overlay Architectures for Fast FPGA Compilation and Application Portability (2015)

Despite significant advantages, wider usage of field-programmable gate arrays (FPGAs) has been limited by lengthy compilation and a lack of portability. Virtual-architecture overlays have partially addressed these problems, but previous work focuses mainly on heavily pipelined applications with minimal control requirements. We expand previous work by enabling more flexible control via overlay architectures for finite-state machines. Although not appropriate for control-intensive circuits, the presented architectures reduced compilation times of control changes in a convolution case study from 7 hours to less than 1 second, with no performance overhead and an area overhead of 0.2%.
Optically-controlled reconfigurable microstrip patch antenna (2008)

An optically controlled frequency reconfigurable microstrip patch antenna is presented in this paper. S11 measurements show that greater than 85% power is transmitted at each of the three resonant frequencies. Measured radiation patterns for patch antennas using ideal switch states agree with HFSS simulations.
Correction: A Multicenter, Open-Label, Controlled Phase II Study to Evaluate Safety and Immunogenicity of MVA Smallpox Vaccine (IMVAMUNE) in 18-40 Year Old Subjects with Diagnosed Atopic Dermatitis (2015)

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Integration of Merged Delayed‐Enhanced Magnetic Resonance Imaging and Multidetector Computed Tomography for the Guidance of Ventricular Tachycardia Ablation: A Pilot Study (2012)

The integration of merged MDCT and DEMRI data is feasible and allows combining substrate assessment with high-spatial resolution to better define structure-function relationship in scar-related VT.
Antiviral Activity of PLK1-Targeting siRNA Delivered by Lipid Nanoparticles in HBV-Infected Hepatocytes (2019)

This study emphasizes that a specific PLK1 inhibition could help in achieving an improved HBsAg loss in CHB patients, likely in combination with other HBsAg-targeting strategies.
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains (2021)

Face recognition models trained under the assumption of identical training and test distributions often suffer from poor generalization when faced with unknown variations, such as a novel ethnicity or unpredictable individual make-ups during test time. In this paper, we introduce a novel cross-domain metric learning loss, which we dub Cross-Domain Triplet (CDT) loss, to improve face recognition in unseen domains. The CDT loss encourages learning semantically meaningful features by enforcing compact feature clusters of identities from one domain, where the compactness is measured by underlying similarity metrics that belong to another training domain with different statistics. Intuitively, it discriminatively correlates explicit metrics derived from one domain, with triplet samples from another domain in a unified loss function to be minimized within a network, which leads to better alignment of the training domains. The network parameters are further enforced to learn generalized features under domain shift, in a model-agnostic learning pipeline. Unlike the recent work of Meta Face Recognition [18], our method does not require careful hard-pair sample mining and filtering strategy during training. Extensive experiments on various face recognition benchmarks show the superiority of our method in handling variations, compared to baseline and the state-of-the-art methods.
Highly sensitive spectroscopic measurement system using an InGaAs PIN photodiode in the near-infrared region (1993)

A low-noise detection system for near-infrared (NIR) spectroscopic measurements has been developed. The detection system consists of an InGaAs PIN photodiode with a charge integrating amplifier operated at 77 K. The minimum detectable power of 10-16 W was achieved at the wavelength of 1.28 mu m. The authors have also constructed a filter-based spectrometer in conjunction with this detection system. The system performance was tested by the measurement of the spectrum of singlet oxygen (1O2).
The only constant is change (2012)

In multi-tenant datacenters, jobs of different tenants compete for the shared datacenter network and can suffer poor performance and high cost from varying, unpredictable network performance. Recently, several virtual network abstractions have been proposed to provide explicit APIs for tenant jobs to specify and reserve virtual clusters (VC) with both explicit VMs and required network bandwidth between the VMs. However, all of the existing proposals reserve a fixed bandwidth throughout the entire execution of a job.