gebhart/patrepeval huggingface dataset:
Nanoparticles: Unconventional Non‐Aqueous Emulsions for the Encapsulation of a Phototriggerable NO‐Donor Complex in Polymer Nanoparticles (Part. Part. Syst. Charact. 2/2013) (2013)

A detailed preparation method, nanoparticle analysis, encapsulation of a ruthenium nitrosyl complex and light-induced NO release in a new type of non-aqueous inverse miniemulsion have been presented. It showcases interdisciplinary collaborative research from the Schiller laboratory (Friedrich Schiller University of Jena) and Daniel Crespy and Katharina Landfester from the Max Planck Institute for Polymer Research. Please note that the cover picture is an art piece and does not represent the nanoparticles generated in this study.
Genome Sequences of Five Lactobacillus sp. Isolates from Traditional Turkish Sourdough (2018)

A high level of variation in microflora can be observed in profiles of lactic acid bacteria (LAB) from sourdoughs. Here, we present draft genome sequences of <i>Lactobacillus reuteri</i> E81, <i>L. reuteri</i> LR5A, <i>L. rhamnosus</i> LR2, <i>L. plantarum</i> PFC-311, and the novel <i>Lactobacillus</i> sp. strain PFC-70, isolated from traditional Turkish backslopped wheat sourdoughs.
Supplementary document for Fluorescence fluctuation-based super-resolution microscopy using multimodal waveguided illumination - 5264968.pdf (2021)

Supplement 1
Approximating optimal building retrofit solutions for large-scale retrofit analysis (2023)

Coordinated large scale building retrofit is one of the most effective approaches not only to reduce the environmental footprint of existing buildings but also to assure that climate goals can be met. Existing bottom-up retrofit approaches become infeasible or lack in terms of accuracy and/or computational cost especially when the scale of application increases in size. Hence, the aim of this paper is to propose and develop a bottom-up approach for large-scale building retrofit with the use of a scalable building-level surrogate retrofit model. To ensure scalability and generalization to large areas, we use artificial neural networks. The developed approach consists of a set of artificial neural networks trained on building archetypes, aiming to predict near-optimal building retrofit solutions for all residential buildings in Switzerland. This is achieved with a small set of inputs, and within a short run time. In order to validate the developed approach, we compare it with a conventional mixed building simulation and optimization approach. The surrogate model computes near-optimal building retrofit solutions, with an average coefficient of determination of 0.91 and an average f1 score of 0.89. To illustrate the advantages of this model, we perform a large-scale retrofit analysis of a case study in Geneva municipality. Such a surrogate model is capable of providing insights into the overall retrofit potential of large areas and thus shall support reaching energy emission reduction targets of existing residential buildings.
Review of the Neural Network based Digital Predistortion Linearization of Multi-Band/MIMO Transmitters (2021)

This paper reviews the neural network (NN) based digital pre-distortion techniques for linearizing multi-band and multiple-input multiple-output (MIMO) transmitters. The most popular NN-based behavioral models using Deep Neural Networks (DNN), Augmented Neural Networks (ANN), and Shallow Neural Networks (SNN) will be reviewed. The paper will discuss NN-based DPD models using Real-Valued Focused Time-Delay Neural Network (RVFTDNN) and Convolutional Neural Network (CNN) performance and complexity for multi-band and MIMO applications. These models' performance will be assessed in terms of their capability to mitigate the transmitter's distortion and hardware impairments such as crosstalk, PA's nonlinearity, dc offset, and I/Q imbalance for multi-band and MIMO applications.
Identifying RNA contacts from SHAPE-MaP by partial correlation analysis (2014)

In a recent paper Siegfried et al. published a new sequence-based structural RNA assay that utilizes mutational profiling to detect base pairing (MaP). Output from MaP provides information about both pairing (via reactivities) and contact (via correlations). Reactivities can be coupled to partition function folding models for structural inference, while correlations can reveal pairs of sites that may be in structural proximity. The possibility for inference of 3D contacts via MaP suggests a novel approach to structural prediction for RNA analogous to covariance structural prediction for proteins. We explore this approach and show that partial correlation analysis outperforms naïve correlation analysis. Our results should be applicable to a wide range of high-throughput sequencing based RNA structural assays that are under development.
Efficient Ultra-broadband Optical Parametric Generation with Picojoule Pulse Energies (2021)

We demonstrate high-gain optical parametric generation in dispersion- engineered PPLN nanowaveguides with picojoules of pump pulse energy. When driven with &gt;10 pJ, the generated signal exceeds 10% conversion efficiency and broadens to span an octave of bandwidth.
A Time‐Resolved FRET Cell‐Based Binding Assay for the Apelin Receptor (2017)

Analogues of apelin-13 carrying diverse spacers and an ad hoc DY647-derived fluorophore were designed and synthesized by chemoselective acylation of α-hydrazinopeptides. The resulting probes retain very high affinity and efficacy for both the wild-type and SNAP-tagged apelin receptor (ApelinR). They give a time-resolved FRET (TR-FRET) signal with rare-earth lanthanides used as donor fluorophores grafted onto the SNAP-tagged receptor. This specific signal allowed the validation of a binding assay with a high signal-to-noise ratio. In such an assay, the most potent sub-nanomolar fluorescent probe was found to be competitively displaced by the endogenous apelin peptides with binding constants similar to those obtained in a classical radioligand assay. We have thus validated the first TR-FRET cell-based binding assay for ApelinR with potential high-throughput screening applications.
Identification and characterization of the porcine (Sus scrofa) survival motor neuron (SMN1) gene: An animal model for therapeutic studies (2008)

Spinal muscular atrophy (SMA) is an autosomal recessive disorder that is characterized by the degeneration of the motor neurons of the spinal cord leading to muscle atrophy. SMA is a result of a loss-of-function of the gene survival motor neuron-1 (SMN1). We have chosen to generate a transgenic swine model of SMA for the development and testing of therapeutics and evaluation of toxicology. To this end, we report the first cloning and identification of the swine SMN1 gene and show that there is significant sequence homology between swine and human SMN throughout the coding region. Reverse transcriptase-polymerase chain reaction results demonstrated slight changes in SMN RNA expression during development and in different tissues. In contrast, protein expression profiles were dramatically different based upon different tissues and developmental stages, consistent with human SMN expression. Porcine SMN localization is consistent with human SMN, localizing diffusely within the cytoplasm and in punctate nuclear structures characteristic of nuclear gems. Importantly, transient transfection of porcine SMN1 in 3813 SMA type 1 fibroblasts demonstrate that porcine SMN1 can rescue the deficiency of SMN protein and gem formation in these cells. These studies provide the first characterization of the porcine SMN1 gene and SMN protein and suggest that a transgenic swine SMA model is feasible.
Spatio-temporal selective extrapolation for 3-D signals applied to concealment in video communications (2006)

In this paper we derive a frequency selective extrapolation method for three-dimensional signals. Extending a signal beyond a limited number of known samples is commonly referred to as signal extrapolation. We provide an extrapolation technique which enables to estimate image areas by exploiting simultaneously spatial and temporal correlations of the video signal. Lost areas caused by transmission errors are concealed by extrapolation from the surrounding. The missing areas in the video sequence are estimated conventionally from either the spatial or temporal surrounding. Our approach approximates the known signal by a weighted linear combination of 3-D basis functions from spatial as well as temporal direction and extrapolates it into the missing area. The algorithm is able to extrapolate smooth and structured areas and to inherently compensate motion and changes in luminance from frame to frame. 1.
Enhanced Design of Fourier Incoherent Single Channel Holography (FISCH) (2013)

Fourier incoherent single channel holography (FISCH) is a method for recording spatially incoherent digital Fourier holograms. We present an enhanced FISCH design that offers a potential increase in the system resolution and throughput.
Polymerase-δ-deficiency as a novel cause of inborn cancer predisposition associated with human papillomavirus infection (2023)

Our study illustrates a predisposition to cancer upon cutaneous β genus human papillomavirus (HPV) infection as part of human polymerase-δ deficiency. In addition, polymerase-δ deficiency infers susceptibility to the development of large cutaneous warts and progression to squamous cell carcinoma associated with HPV63, which usually causes benign papillomas. Our findings warrant close monitoring for viral skin oncogenesis in individuals with syndromic polymerase-δ deficiency.
37‐2: Plane Source Evaporation Techniques for Super Ultra High Resolution Flexible AMOLED (2017)

The vacuum thermal evaporation (VTE) patterning technique using linear type evaporation sources has 3μm of minimum shadow distance so that the high resolution (577ppi, 2K QHD) AMOLED can be manufactured. However, there is a shadow limitation of the neighboring patterns overlapped when manufacturing the ultra‐high resolution (800ppi, 4K UHD) AMOLED. The plane source VTE shows recently of 1.1μm~1.3μm in shadow distance measurements and it verifies the possibility of manufacturing the ultra‐high resolution AMOLEDs with 1000~1500ppi. The shadow angle of 83° and shadow distance of 0.37μm have been predicted from the plane source AFM analysis and, therefore, it shows high possibility of manufacturing the super‐ultra‐high AMOLEDs with 3300ppi. The study of plane source evaporation and its evaporator need to be expanded for the AMOLED futures.
Indirect Exciton Formation due to Inhibited Carrier Thermalization in Single CdSe/CdS Nanocrystals (2013)

Temperature-dependent single-particle spectroscopy is used to study interfacial energy transfer in model light-harvesting CdSe/CdS core-shell tetrapod nanocrystals. Using alternating excitation energies, we identify two thermalized exciton states in single nanoparticles that are attributed to a strain-induced interfacial barrier. At cryogenic temperatures, emission from both states exemplifies the effects of intraparticle disorder and enables their simultaneous characterization, revealing that the two states are distinct in regards to emission polarization, spectral diffusion, and blinking.
Comparative Prevalences of Brachyspira aalborgi and Brachyspira ( Serpulina ) pilosicoli as Etiologic Agents of Histologically Identified Intestinal Spirochetosis in Australia (2001)

DNA from gastrointestinal biopsy specimens from 28 Australian patients with histologic evidence of intestinal spirochetosis (IS) was subjected to PCRs to amplify segments of the 16S rRNA and NADH oxidase genes of Brachyspira aalborgi and Brachyspira (Serpulina) pilosicoli. B. aalborgi was identified in specimens from 24 (85.7%) patients and B. pilosicoli in those from 4 (14.3%) patients (2 of whom were also positive for B. aalborgi). For two patients, no product was amplified. This study demonstrates that B. aalborgi is much more commonly involved in histologically identified IS in Australian patients than is B. pilosicoli. This is the first report of amplification of B. pilosicoli DNA from humans with IS.
Hydrogenated Borophene Shows Catalytic Activity as Solid Acid (2019)

Hydrogen boride (HB) or hydrogenated borophene sheets are recently realized two-dimensional materials that are composed of only two light elements, boron and hydrogen. However, their catalytic activity has not been experimentally analyzed. Herein, we report the catalytic activity of HB sheets in ethanol reforming. HB sheets catalyze the conversion of ethanol to ethylene and water above 493 K with high selectivity, independent of the contact time, and with an apparent activation energy of 102.8 ± 5.5 kJ/mol. Hence, we identify that HB sheets act as solid-acid catalysts.
Cell cycle regulation (1997)

1. Cell Cycle Regulation in Hematopoietic Stem Cells 2. Complex Regulation of the NF-KB Transcription Factor Complex: NF-KB Activation Is Inhibitable by Tyrosine Kinase Inhibitors 3. Signalling by the Cytokine Receptor Superfamily 4. Cytokine DrivenSignal Transmission 5. The pp70S6k Signalling Pathway Is Activated by a Complex Multistep 6. Process Involving Several Signalling Pathways 7. Biochemical Dissection of Nuclear Events In Apoptosis 8. Angiogenesis and the Endothelial Cell Cycle 9.Regulation of Inflammatory Cytokine Biosynthesis: Discovery of a Low Molecular Weight Inhibitor and Its Molecular Target 10. Bcl-2 Family Proteins in Cancer: Regulators of Cell Death Involved in Resistance to Therapy 11. Coupled Control of CellProliferation and Cell Viability by Oncogenes and Cytokines
An information theoretic approach to secure multicast key management (2003)

New results are presented for recently proposed rooted tree based secure multicast key revocation schemes by studying the information theoretic properties of member revocation events. It is shown that the optimal average number of keys per person is given by the entropy of the member revocation event and the currently available solutions correspond to the worst case or the maximum entropy scenario. It is shown that the previously proposed key assignment (Caronni et al., 1998) corresponds to optimal source coding and is susceptible to attack by compromise or collusion of multiple members.
Thermal properties and enthalpy relaxation of tyrosine-derived polyarylates (1997)

Sixteen degradable, tyrosine-derived polyarylates with well-defined chemical structures were used to study the effect of polymer structure on the glass transition temperature and enthalpy relaxation kinetics (physical aging). These polyarylates compose a model system where the number of methylene groups present in either the pendent chain or the polymer backbone can be altered independently and in a systematic fashion. Quantitative differential scanning calorimetry was employed to measure the glass transition temperature and the enthalpy relaxation kinetics. Correlations between these material properties and the polymer structure were established. The glass transition temperature of this family of polymers ranged from 13 to 78°C. The addition of methylene groups to either the pendent chain or the polymer backbone made a fairly constant contribution to lowering the glass transition temperature. The rate of enthalpy relaxation increased with an increasing number of methylene groups in the polymer backbone, but was independent of the number of methylene groups in the pendent chain. This observation indicated that the rate of enthalpy relaxation in these polymers was limited by the mobility of the polymer backbone. The enthalpy relaxation data was fitted to the Cowie-Ferguson model and the relaxation times obtained ranged from 44 min to about 100 min. Although these structure-property correlations facilitate the design of new materials with predictable thermal properties, they are rarely investigated for biomedical polymers. © 1997 John Wiley & Sons, Inc. J Appl Polym Sci 63: 1441–1448, 1997
Impact of Migration and Acculturation on Prevalence of Type 2 Diabetes and Related Eye Complications in Indians Living in a Newly Urbanised Society (2012)

Second generation immigrant Indians and longer length of residence are associated with higher prevalence of diabetes and diabetes-related complications (i.e., DR and cataract) among migrant Indians living in Singapore. These data highlight potential worldwide impacts of migration patterns on the risk and burden of diabetes.
Christopher T. Walsh: Science, mentorship, and service (2023)

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Slender tip laser scalpel (2023)

A laser scalpel includes a ribbon optical waveguide extending therethrough and terminating at a slender optical cutting tip. A laser beam is emitted along the height of the cutting tip for cutting tissue therealong.
8.4 dB net coding gain achieved with a serially concatenated coding scheme for differential quadrature phase shift keyed optical systems (2005)

We improve the system performance using differential quadrature phase shift keying modulation format combined with a 100% overhead convolutional code concatenated with the standard Reed-Solomon code RS(255,239). (2 pages)
Experimental and computational studies of turbulent separating internal flows (2006)

The separating turbulent flow in a plane asymmetric diffuser with 8.5 degrees opening angle is investigated experimentally and computationally. The considered flow case is suitable for fundamental studies of separation, separation control and turbulence modelling. The flow case has been studied in a specially designed wind-tunnel under well controlled conditions. The average velocity and fluctuation fields have been mapped out with stereoscopic particle image velocimetry (PIV). Knowledge of all velocity components allows the study of several quantities of interest in turbulence modelling such as the turbulence kinetic energy, the turbulence anisotropy tensor and the turbulence production rate tensor. Pressures are measured through the diffuser. The measured data will form a reference database which can be used for evaluation of turbulence models and other computational investigations. Time-resolved stereoscopic PIV is used in an investigation of turbulence structures in the flow and their temporal evolution. A comparative study is made where the measured turbulence data are used to evaluate an explicit algebraic Reynolds stress turbulence model (EARSM). A discussion regarding the underlying reasons for the discrepancies found between the experimental and the model results is made. A model for investigations of separation suppression by means of vortex generating devices is presented together with results from the model in the plane asymmetric diffuser geometry. A short article on the importance of negative production-rates of turbulent kinetic energy for the reverse flow region in separated flows is presented. A detailed description of the experimental setup and PIV measurement procedures is given in a technical report.
Acute Effects of Vitamin C Exposure On Colonic Crypts: Direct Modulation of pH Regulation (2017)

Acute addition of Vitamin C to the basolateral membrane maintains low intracellular pH for a longer period which could halt and/or prevent tumor formation.
Accurate inversion charge and mobility measurements in enhancement-mode GaAs field-effect transistors with high-k gate dielectrics (2009)

In summary, we have directly measured the inversion charge and mobility in enhancement-mode high-k GaAs FETs using Hall measurements. These results also show that despite the high density of traps, the mobility of electron carriers channel is relatively high.
Catalytic Asymmetric Friedel–Crafts Alkylation ofβ,γ-Unsaturatedα-Ketoesters: Enantioselective Addition of Aromatic C−H Bonds to Alkenes (2001)

Katalytisch wirksame BOXen: Chirale Bisoxazolin(BOX)-Lewis-Säure-Komplexe können enantioselektiv (ee>99 %) Friedel-Crafts-Alkylierungen katalysieren. Die Reaktion funktioniert mit aromatischen und heteroaromatischen Komponenten sowie mit einer Reihe von β,γ-ungesättigten α-Ketoestern (siehe Schema; R1=Alkyl, Aryl, OR).
Effect of external magnetic field on locking range of spintronic feedback nano oscillator (2017)

In this work we have studied the effect of external applied magnetic field on the locking range of spintronic feedback nano oscillator. Injection locking of spintronic feedback nano oscillator at integer and fractional multiple of its auto oscillation frequency was demonstrated recently. Here we show that the locking range increases with increasing external magnetic field. We also show synchronization of spintronic feedback nano oscillator at integer (n=1,2,3) multiples of auto oscillation frequency and side band peaks at higher external magnetic field values. We have verified experimental results with macro-spin simulation using similar conditions as used for the experimental study.
Deriving and Updating Optimal Transmission Configurations for Lora Networks (2020)

LoRa-based networks exhibit good flexibility in terms of configurable parameters and adjustable modulation properties. Thanks to this, wireless nodes can be tuned to improve their communication behavior. In fact, optimal network-level transmission configurations (C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">opt</sub> ) can be derived in such a way that the global network performance is maximized. To derive this C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">opt</sub> , one must know the radio-propagation behavior of each node beforehand. Traditionally, this has been pursued by using general, low-precision, propagation models due to the infeasibility (in terms of time and energy) of deriving each individual node propagation behavior. In this work we propose a straightforward bounding technique that reduces up to 73% the energy and time required to obtain the radio-propagation behavior of each individual node in the network, enabling the derivation of network-level optimal transmission configurations. Also, we provide mechanisms to keep this knowledge updated, swiftly reacting to changes in the environment and leading to network performance improvements of 15% when compared to traditional alternatives like LoRaWAN ADR. Furthermore, by means of a testbed we demonstrate that this mechanism can also provide resistance to Denial-of-service attacks. Finally, we incorporate the power consumption into the proposed Copt formulation and provide a generalizable power-consumption determination methodology. This way we can limit the set of eligible transmission configurations to help extending LoRa network lifetimes more than 40%.
Motility induced changes in viscosity of suspensions of swimming microbes in extensional flows (2015)

Suspensions of motile cells are model systems for understanding the unique mechanical properties of living materials which often consist of ensembles of self-propelled particles. We present here a quantitative comparison of theory against experiment for the rheology of such suspensions. The influence of motility on viscosities of cell suspensions is studied using a novel acoustically-driven microfluidic capillary-breakup extensional rheometer. Motility increases the extensional viscosity of suspensions of algal pullers, but decreases it in the case of bacterial or sperm pushers. A recent model [Saintillan, Phys. Rev. E, 2010, 81:56307] for dilute active suspensions is extended to obtain predictions for higher concentrations, after independently obtaining parameters such as swimming speeds and diffusivities. We show that details of body and flagellar shape can significantly determine macroscale rheological behaviour.