gebhart/patrepeval huggingface dataset:
Functional Characterization of Naturally Occurring Mutant Androgen Receptors from Subjects with Complete Androgen Insensitivity (1990)

Mutations in the androgen receptor (AR) are thought to cause complete androgen insensitivity (CAIS) in 46,XY human subjects who have a female phenotype despite normal adult male concentrations of plasma testosterone. Assays of AR binding in cultured skin fibroblasts from subjects with CAIS show either an apparent absence of AR (AR-) or normal levels of AR (AR+) binding. In several subjects with CAIS, AR-, no gross AR mutation was detected by Southern blot analyses of genomic DNA and normal sized 10 kilobase mRNA was present on Northern blots of poly(A+) RNA from cultured genital skin fibroblasts. We have used the polymerase chain reaction to amplify individual exons within the human AR gene of subjects with CAIS and have identified point mutations in three subjects. In one AR- subject (R774C), amino acid 774 was changed from arginine (CGC) to cysteine (TGC), in another AR- subject (R831Q), arginine (CGA) was changed to glutamine (CAA) at position 831, and in an AR+ subject (V866M) a methionine (ATG) was substituted for valine (GTG) at position 866. Transfection of wild type and mutant AR cDNA clones into COS cells results in detection of AR protein by immunoblotting. AR ligand binding activity is absent in cells transfected with AR mutants R774C and R831Q, but present with AR mutant V866M. Androgen binding in cells transfected with AR mutant V866M has a 6-fold lower apparent binding affinity than that of wild-type AR. Transcriptional activation of the MMTV-CAT reporter gene was androgen dependent and specific and nearly maximal at physiological concentrations (10(-10) M) of androgen when wild-type AR was transfected into cells, whereas neither AR mutants R774C nor R831Q were able to stimulate CAT activity even at 10(-8) M androgen. AR mutant V866M was able to stimulate CAT activity but the androgen dose dependency was shifted toward pharmacological concentrations of steroid that exceed in vivo levels. The molecular basis of CAIS in humans exhibits genetic heterogeneity. Our study shows that some cases of CAIS are explained by an inability to form a functional AR-steroid complex and hence, the AR is unable to activate transcription of genes essential for male sex differentiation during fetal development.
Optofluidic Intracavity Spectroscopy of Canine Lymphoma and Lymphocytes (2007)

Intracavity transmission spectra of single canine lymphoma cells are distinct from noncancerous lymphocytes. An effective index model yields a nuclear size vs. refractive index relationship and clarifies the impact of mode confinement on wavelength shift.
Thrombosis and thrombocytopenia after HPV vaccination (2021)

We report a case of VITT following HPV vaccination. This should raise awareness of the possibility of VITT also occurring after other vaccines, not exclusively adenoviral vector-based SARS-CoV-2 vaccines.
Continuous physiological monitoring: an integrated system for use in neonatal intensive care. (1995)

A general purpose, multi-channel digital data acquisition and analysis system (Amlab, Associative Measurements, Sydney) configured to collect and process physiological signals including electroencephalograph and blood pressure is described. Its advantages over analog and single-purpose instrumentation are discussed as is its potential, by the addition of transducers, to replace single-purpose instruments.
Drone-borne Differential SAR Interferometry (2020)

Differential synthetic aperture radar interferometry (DInSAR) has been widely applied since the pioneering space-borne experiment in 1989, and subsequently with the launch of the ERS-1 program in 1992. The DInSAR technique is well assessed in the case of space-borne SAR data, whereas in the case of data acquired from aerial platforms, such as airplanes, helicopters, and drones, the effective application of this technique is still a challenging task, mainly due to the limited accuracy of the information provided by the navigation systems mounted onboard the platforms. The first airborne DInSAR results for measuring ground displacement appeared in 2003 using L- and X-bands. DInSAR displacement results with long correlation time in P-band were published in 2011. This letter presents a SAR system and, to the best of our knowledge, the first accuracy assessment of the DInSAR technique using a drone-borne SAR in L-band. A deformation map is shown, and the accuracy and resolution of the methodology are presented and discussed. In particular, we have obtained an accuracy better than 1 cm for the measurement of the observed ground displacement. It is in the same order as that achieved with space-borne systems in C- and X-bands and the airborne systems in X-band. However, compared to these systems, we use here a much longer wavelength. Moreover, compared to the satellite experiments available in the literature and aimed at assessing the accuracy of the DInSAR technique, we use only two flight tracks with low time decorrelation effects and not a big data stack, which helps in reducing the atmospheric effects.
Poly-SiGe-based CMUT array with high acoustical pressure (2012)

Capacitive micromachined ultrasound transducers (CMUT) have the potential to enable 3-D ultrasound imaging. This paper reports a novel manufacturable buildup of a CMUT device which is CMOS compatible. The approach allows high density integration and independent optimization of the CMUT device and the integrated electronics. The CMUT device makes use of polycrystalline silicon-germanium (poly-SiGe) as the structural material, in combination with silicon carbide (SiC) as the dielectric layer to allow high electrical field in the transduction gap. Breakdown voltage of above 500V is demonstrated. Transmit pressure normalized to the surface of the transducer is as high as 580kPa for DC and AC voltages of 340 and 75V, respectively. Initial characterization of pulse-echo measurement is also reported.
Presence detection, identification and tracking in smart homes utilizing bluetooth enabled smartphones (2014)

Advances in ubiquitous computing over the last decade have allowed us to inch closer to the realization of true smart homes. Many sensors are already embedded in our living environments which can monitor several environmental parameters such as temperature, humidity, brightness and appliance-level power consumption. However, in order to achieve the primary goal of the smart home, we should be able to detect, identify, and localize the entities inside it. Therefore, the user detection, identification and localization problems represent a crucial facet of the challenges introduced by the smart home problem. Our approach towards solving these challenges entailed the usage of Bluetooth technology for user identification and tracking, alongside a Wireless Local Area Network setup to collate the sensor data at a centralized server such as a home gateway which subsequently processed and stored the entries. Moreover, we have studied the efficacy of various pattern recognition algorithms for real time processing and decision modeling on the received data. We have hence demonstrated our solution represents a non-intrusive, inexpensive and energy-conserving methodology to solve an essential part of the smart home problem by integrating already existent devices and infrastructure in an innocuous manner to obtain good results with minimum overhead.
Quasiperiodic predictive filtering for robot-assisted beating heart surgery (2008)

Beating heart procedures promise significant health benefits to patients but the fast motion of the heart poses a serious challenge to the surgeon. Robotic motion synchronization to heart movements could facilitate these surgeries, although for intracardiac procedures this requires the development of a predictive filter to compensate for the measurement noise and time delay present in 3D ultrasound imaging. In this paper, we present a quasiperiodic cardiac motion model and apply the extended Kalman filter to estimation of its parameters in real-time. We experimentally demonstrate high accuracy robot tracking to heart motion using this filter.
Initial Performance of the RatCAP, a PET Camera for Conscious Rat Brain Imaging (2006)

The first fully functional prototype of the RatCAP (Rat conscious animal PET) scanner has been constructed and preliminary evaluations have been performed. RatCAP is a miniature, high performance PET scanner designed specifically to image the brain of a rat while directly attached to its head. The goal is to eliminate the need for anesthesia which can confound quantitative brain studies and prevent simultaneous correlations of neurochemistry and behavior. RatCAP is a fully 3D tomograph with a transaxial (axial) field-of-view of 38(18) mm, outside diameter 72 mm, and weight <200 g which is supported by a small tether. A total of 384 LSO crystals are divided among 12 independent detector blocks, each of which contains an avalanche photodiode (APD) photosensor array and a custom-designed ASIC for highly integrated front-end processing. A custom FPGA-based time-stamp module has been designed and implemented, achieving a preliminary system resolution of 13.9 ns FWHM. With a point source in the FOV center, spatial resolution is 2.1 mm FWHM, energy resolution averages 23% FWHM, and sensitivity is 0.7% at an average threshold of 150 keV. Novel offline data processing algorithms have been developed including methods for time and energy calibrations, corrections for physical effects, and a highly accurate iterative image reconstruction. Initial phantom and rat brain images have been obtained
Bacterial Imprinting at Pickering Emulsion Interfaces (2014)

The tendency of bacteria to assemble at oil-water interfaces can be utilized to create microbial recognition sites on the surface of polymer beads. In this work, two different groups of bacteria were first treated with acryloyl-functionalized chitosan and then used to stabilize an oil-in-water emulsion composed of cross-linking monomers that were dispersed in aqueous buffer. Polymerization of the oil phase followed by removal of the bacterial template resulted in well-defined polymer beads bearing bacterial imprints. Chemical passivation of chitosan and cell displacement assays indicate that the bacterial recognition on the polymer beads was dependent on the nature of the pre-polymer and the target bacteria. The functional materials for microbial recognition show great potential for constructing cell-cell communication networks, biosensors, and new platforms for testing antibiotic drugs.
Hyperbaric oxygen therapy for treatment of children with autism: a systematic review of randomized trials (2012)

There is a controversy about the efficacy of hyperbaric oxygen (HBO) therapy for the treatment of autism. This study systematically reviews the current evidences for treating of autism with HBO therapy. According to PRISMA guidelines for a systematic review, the databases of MEDLINE/Pubmed, Google Scholar, and Randomised Controlled Trials in Hyperbaric Medicine were electronically searched. In addition, medical subject heading terms and text words for hyperbaric oxygen therapy and autism were used. The main inclusion criteria were published studies which reported the original data from the trials conducted on the patients with autism and assessed outcomes with a valid and reliable instrument. A quality assessment was also conducted. The electronically search resulted in 18 title of publications. Two studies were randomized, double-blind, controlled-clinical trials. While some uncontrolled and controlled studies suggested that HBO therapy is effective for the treatment of autism, these promising effects are not replicated. Therefore, sham-controlled studies with rigorous methodology are required to be conducted in order to provide scientific evidence-based HBO therapy for autism treatment.
Speaker recognition by means of Deep Belief Networks (2013)

Most state-of-the-art speaker recognition systems are based on Gaussian Mixture Models (GMMs), where a speech segment is represented by a compact representation, referred to as "identity vector" (ivector for short), extracted by means of Factor Analysis. The main advantage of this representation is that the problem of intersession variability is deferred to a second stage, dealing with low-dimensional vectors rather than with the high-dimensional space of the GMM means. In this paper, we propose to use as a pseudo-ivector extractor a Deep Belief Network (DBN) architecture, trained with the utterances of several hundred speakers. In this approach, the DBN performs a non-linear transformation of the input features, which produces the probability that an output unit is on, given the input features. We model the distribution of the output units, given an utterance, by a reduced set of parameters that embed the speaker characteristics. Tested on the dataset exploited for training the systems that have been used for the NIST 2012 Speaker Recognition Evaluation, this approach shows promising results
A New Scale for In-Home Test-Weighing for Mothers of Preterm and High Risk Infants (1994)

The purposes of this research were to describe the accuracy of test-weighing with the BabyWeigh, a new infant scale suitable for use in the home, and to determine whether mothers and investigators could estimate intake accurately during breastfeeding sessions, using clinical cues that are recommended for this purpose. Within five days of projected NICU discharge, 30 preterm and/or high risk infants and their mothers were studied during a single breastfeeding session. A member of the research team performed test-weights with the Smart Model 20 infant scale, and mothers performed test-weights with the BabyWeigh scale. The mothers and investigators each estimated volume of intake for the breastfeeding session using clinical cues. Mothers and investigators were blind to each others' test-weights and clinical estimates. Results revealed that the BabyWeigh scale provided an accurate estimate of intake during breastfeeding across a large range of infant weights and intake volumes. In contrast, investigator and maternal estimates of intake were not sufficiently accurate.
ChemInform Abstract: Stereoselective Addition of Phenyl Selenyl Chloride to Methoxy Alkenes Derived from N‐Protected Chiral α‐Amino Acids. (1999)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Hydroxyurea-Induced Accumulation of Short Fragments During Polyoma DNA Replication II. Behavior During Incubation of Isolated Nuclei (1973)

The synthesis of polyoma DNA was studied in isolated nuclei from hydroxyurea-inhibited 3T6 cells infected with polyoma virus. During incubation of nuclei under conditions suitable for polyoma DNA synthesis in vitro, the short DNA fragments with a sedimentation coefficient of 4S formed in vivo (hydroxyurea fragments) became associated with preformed, replicating DNA strands. Centrifugation in dye-buoyant density gradients showed that the fragments formed part of the structure of the replicative intermediate of polyoma DNA. The proportion of "young" replicative intermediates was larger after hydroxyurea inhibition than in uninhibited controls. Hydroxyurea fragments appear to be closely related to the 4S fragments formed as normal intermediates during discontinuous synthesis of polyoma DNA.
The regulation of post-germinative transition from the cotyledon- to vegetative-leaf stages by microRNA-targeted SQUAMOSA PROMOTER-BINDING PROTEIN LIKE13 in Arabidopsis (2010)

Abstract Germination and early seedling development are critical for successful stand establishment of plants. Following germination, the cotyledons, which are derived from embryonic tissue, emerge from the seed. Arabidopsis seedlings at post-germinative stages are supported mainly by the supply of nutrition from the cotyledons until vegetative leaves emerge and initiate photosynthesis. The switch to autotrophic growth is a significant transition at the post-germinative stage. Here, we provide evidence that down-regulation of SQUAMOSA PROMOTER-BINDING PROTEIN LIKE13 ( SPL13 ) by microRNA156 (miR156) plays an important role in the regulation of the post-germinative switch from the cotyledon stage to the vegetative-leaf stage. Silent mutations created in the SPL13 sequence in the region that is complementary to the miR156 sequence caused the deregulation of the mutant form of SPL13 ( mSPL13 ) mRNA from miR156. Mutant seedlings over-accumulated miRNA-resistant messages and exhibited a delay in the emergence of vegetative leaves compared to wild-type seedlings. The delay was not observed in control transgenic plants expressing non-mutated SPL13 , indicating that the phenotype was caused specifically by the silent mutations and deregulation of SPL13 from miR156. Characterization of the SPL13 promoter indicated that this gene is expressed mainly in the hypocotyl and affects leaf primordium development. These results suggest that the repression of SPL13 by miR156 is essential for normal post-germinative growth in Arabidopsis .
An Advanced Technological Lightweighted Solution for a Body in White (2016)

Publisher Copyright: © 2016 The Authors.
Universal form of the carrier frequency of scalar and vector paraxialXwaves with orbital angular momentum and arbitrary frequency spectrum (2015)

We report on the dependence of the carrier frequency of a nondiffracting optical pulse on the amount of orbital angular momentum it carries. We provide a unified universal form of such a dependence for the cases of both scalar and vector pulses with arbitrary frequency spectra. For the case of paraxial optical pulses we consider two different examples, namely, pulses with exponentially decaying spectra and Gaussian spectra.
Controlled Crystal Structure in Patterned InAs Quantum Dot Formation By Selective Area MOCVD (2006)

We demonstrate the capability to control patterned quantum dot formation through adjusting the growth parameters inside the MOCVD reactor. Effects of altered crystallographic structure are measured using photoluminescence and SEM images
Bioinformatics and clinic: predictive models in cancer patients stratification and novel therapies identification (2019)

Despite intense research efforts cancer remains difficult to treat due to chemotherapy resistance. The p53 tumor suppressor is crucial for cancer development, the DNA damage and chemotherapy response. We have created Boolean p53 interactome models and investigated their predictive power for cancer patients’ stratification. The comparison of model simulations obtained by knockout tests mimicking mutations with omics type of experimental data demonstrated a significant rate of successful predictions in osteosarcoma, colon cancer and mesothelioma cell lines, as well as in 71 mesothelioma patients. Model analysis allowed identification of deregulated pathways, prediction of therapeutic schemes and linking of the affected pathway with the patients’ clinical state. Model validations demonstrated successful predictions ranging from 52% to 85% depending on the drug, algorithm or sample used for validation. Patients were stratified depending on their p53 status and therapy received, then their clinical outcomes and simulation comparisons were used to identify 30 genes that correlated with survival. In patients with the wild-type p53, FEN1 and MMP2 exhibited the highest inverse correlation, whereas in untreated patients with p53 mutated, SIAH1 negatively correlated with survival. Using DRUGSURV, repositioned and experimental drugs targeting FEN1 and MMP2 were identified. Testing showed that drugs that target FEN1 (epinephrine and myricetin) have cytotoxic effect, whereas marimastat and batimastat, which target MMP2 have inhibitory effect on mesothelioma cell migration. In summary, p53 model has predictive properties with versatile potential for use in cancer treatment by identifying pathways crucial for tumor growth, by facilitating patients stratification and by identification of shifts in pathways required for chemoresistance. We believe that upon further testing in animal models and wider data base analysis, clinical decisions and personalized therapy can be devised based on individual patients’ genetic profile and previous chemotherapeutic treatment.
Competence of Immature Maize Embryos for Agrobacterium-Mediated Gene Transfer. (1992)

Agrobacterium-mediated transfer of viral sequences to plant cells (agroinfection) was applied to study the susceptibility of immature maize embryos to the pathogen. The shoot apical meristem of immature embryos 10 to 20 days after pollination from four different maize genotypes was investigated for competence for agroinfection. There was a direct correlation between different morphological stages of the unwounded immature embryos and their competence for agroinfection. Agroinfection frequency was highest in the embryogenic line A188. All developmental stages tested showed Agrobacterium virulence gene-inducing activity, whereas bacteriocidal substances were produced at stages of the immature embryos competent for agroinfection. The results suggested that Agrobacterium may require differentiated tissue in the maize shoot apical meristem before wounding for successful T-DNA transfer. This requirement for the young maize embryo has implications for the possible use of Agrobacterium for maize transformation.
ChemInform Abstract: 1,3‐Dipolar Cycloaddition Route to Nitrogen Heterocyclic Triones. (1999)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Simulating realistic network worm traffic for worm warning system design and testing (2003)

Reproducing the effects of large-scale worm attacks in a laboratory setup in a realistic and reproducible manner is an important issue for the development of worm detection and defense systems. In this paper, we describe a worm simulation model we are developing to accurately model the large-scale spread dynamics of a worm and many aspects of its detailed effects on the network. We can model slow or fast worms with realistic scan rates on realistic IP address spaces and selectively model local detailed network behavior. We show how it can be used to generate realistic input traffic for a working prototype worm detection and tracking system, the Dartmouth ICMP BCC: System/Tracking and Fusion Engine (DIB:S/TRAFEN), allowing performance evaluation of the system under realistic conditions. Thus, we can answer important design questions relating to necessary detector coverage and noise filtering without deploying and operating a full system. Our experiments indicate that the tracking algorithms currently implemented in the DIB:S/TRAFEN system could detect attacks such as Code Red v2 and Sapphire/Slammer very early, even when monitoring a quite limited portion of the address space, but more sophisticated algorithms are being constructed to reduce the risk of false positives in the presence of significant "background noise" scanning.