gebhart/patrepeval huggingface dataset:
Nanostructured Ultrafast Silicon-Tip Optical Field-Emitter Arrays (2014)

Femtosecond ultrabright electron sources with spatially structured emission are an enabling technology for free-electron lasers, compact coherent X-ray sources, electron diffractive imaging, and attosecond science. In this work, we report the design, modeling, fabrication, and experimental characterization of a novel ultrafast optical field emission cathode comprised of a large (>100,000 tips), dense (4.6 million tips·cm(-2)), and highly uniform (<1 nm tip radius deviation) array of nanosharp high-aspect-ratio silicon columns. Such field emitters offer an attractive alternative to UV photocathodes while providing a direct means of structuring the emitted electron beam. Detailed measurements and simulations show pC electron bunches can be generated in the multiphoton and tunneling regime within a single optical cycle, enabling significant advances in electron diffractive imaging and coherent X-ray sources on a subfemtosecond time scale, not possible before. At high charge emission yields, a slow rollover in charge is explained as a combination of the onset of tunneling emission and the formation of a virtual cathode.
0.6 V, 116 nW Neural Spike Acquisition IC with Self-Biased Instrumentation Amplifier and Analog Spike Extraction (2018)

This paper presents an ultralow power 0.6 V 116 nW neural spike acquisition integrated circuit with analog spike extraction. To reduce power consumption, an ultralow power self-biased current-balanced instrumentation amplifier (IA) is proposed. The passive RC lowpass filter in the amplifier acts as both DC servo loop and self-bias circuit. The spike detector, based on an analog nonlinear energy operator consisting of a low-voltage open-loop differentiator and an open-loop gate-bulk input multiplier, is designed to emphasize the high frequency spike components nonlinearly. To reduce the spike detection error, the adjacent spike merger is also proposed. The proposed circuit achieves a low IA current consumption of 46.4 nA at 0.6 V, noise efficiency factor (NEF) of 1.81, the bandwidth from 102 Hz to 1.94 kHz, the input referred noise of 9.37 μVrms, and overall power consumption of 116 nW at 0.6 V. The proposed circuit can be used in the ultralow power spike pulses acquisition applications, including the neurofeedback systems on peripheral nerves with low neuron density.
Optimization of a GCaMP Calcium Indicator for Neural Activity Imaging (2012)

Genetically encoded calcium indicators (GECIs) are powerful tools for systems neuroscience. Recent efforts in protein engineering have significantly increased the performance of GECIs. The state-of-the art single-wavelength GECI, GCaMP3, has been deployed in a number of model organisms and can reliably detect three or more action potentials in short bursts in several systems in vivo. Through protein structure determination, targeted mutagenesis, high-throughput screening, and a battery of in vitro assays, we have increased the dynamic range of GCaMP3 by severalfold, creating a family of "GCaMP5" sensors. We tested GCaMP5s in several systems: cultured neurons and astrocytes, mouse retina, and in vivo in Caenorhabditis chemosensory neurons, Drosophila larval neuromuscular junction and adult antennal lobe, zebrafish retina and tectum, and mouse visual cortex. Signal-to-noise ratio was improved by at least 2- to 3-fold. In the visual cortex, two GCaMP5 variants detected twice as many visual stimulus-responsive cells as GCaMP3. By combining in vivo imaging with electrophysiology we show that GCaMP5 fluorescence provides a more reliable measure of neuronal activity than its predecessor GCaMP3. GCaMP5 allows more sensitive detection of neural activity in vivo and may find widespread applications for cellular imaging in general.
Microarray expression profiling: capturing a genome‐wide portrait of the transcriptome (2003)

The bacterial transcriptome is a dynamic entity that reflects the organism's immediate, ongoing and genome-wide response to its environment. Microarray expression profiling provides a comprehensive portrait of the transcriptional world enabling us to view the organism as a 'system' that is more than the sum of its parts. The vigilance of microorganisms to environmental change, the alacrity of the transcriptional response, the short half-life of bacterial mRNA and the genome-scale nature of the investigation collectively explain the power of this method. These same features pose the most significant experimental design and execution issues which, unless surmounted, predictably generate a distorted image of the transcriptome. Conversely, the expression profile of a properly conceived and conducted microarray experiment can be used for hypothesis testing: disclosure of the metabolic and biosynthetic pathways that underlie adaptation of the organism to chang-ing conditions of growth; the identification of co-ordinately regulated genes; the regulatory circuits and signal transduction systems that mediate the adaptive response; and temporal features of developmental programmes. The study of bacterial pathogenesis by microarray expression profiling poses special challenges and opportunities. Although the technical hurdles are many, obtaining expression profiles of an organism growing in tissue will probably reveal strategies for growth and survival in the host's microenvironment. Identifying these colonization strategies and their cognate expression patterns involves a 'deconstruction' process that combines bioinformatics analysis and in vitro DNA array experimentation.
Increased oxidative stress in ataxia telangiectasia evidenced by alterations in redox state of brains from Atm-deficient mice. (2001)

Ataxia-telangiectasia (A-T) is a genetic disorder caused by mutational inactivation of the ATM gene. A-T patients display a pleiotropic phenotype and suffer primarily from progressive ataxia caused by degeneration of cerebellar Purkinje and granule neurons. Disruption of the mouse Atm locus creates a murine model of A-T that exhibits most of the clinical features of the human disease. We previously hypothesized that some aspects of A-T, such as the preferential loss of certain neurons, could result from a continuous state of increased oxidative stress (G. Rotman and Y. Shiloh, Cancer Surv., 29: 285-304, 1997; G. Rotman and Y. Shiloh, BioEssays, 19: 911-917, 1997). The present work tests this hypothesis by analyzing markers of redox state in brains of Atm-deficient mice. We found alterations in the levels of thiol-containing compounds in Atm (-/-) brains, as well as significant changes in the activities of thioredoxin, catalase, and manganese superoxide dismutase in Atm (-/-) cerebella. These changes are indicative of increased levels of reactive oxygen species, which are seen primarily in the cerebellum of Atm-deficient mice. Our findings support the hypothesis that the absence of functional ATM results in oxidative stress, which may be an important cause of the degeneration of cerebellar neurons in A-T.
Osteoarthritis antirheumatic drug trials. II. Tables for calculating sample size for clinical trials. (1992)

The calculation of sample size for clinical trials requires knowledge of the standard deviation (SD) of index variables. There are no published lists of SD and it is difficult to locate variance estimates based on relevant populations. In this study we used standardized procedures to determine in 60 patients with osteoarthritis (OA) of the knee the standard deviation of key outcome measures recommended in current Food and Drug Administration and European League Against Rheumatism guidelines for OA clinical trials. These tables will be useful to clinical researchers in selecting outcome measures as well as for calculating sample size requirements for future clinical studies in OA.
Bactericidal and Morphological Effects of NE-2001, a Novel Synthetic Agent Directed against <i>Helicobacter pylori</i> (2005)

The antibacterial activities of NE-2001 were tested against 24 clinical isolates of Helicobacter pylori and compared with those of amoxicillin, clarithromycin, metronidazole, and furazolidone. The MIC(50) and MIC(90) of this synthetic compound on the isolates were 8 and 16 mug/ml, respectively. This action was highly selective against Helicobacter pylori; there was a >4-fold difference between the concentration of NE-2001 required to inhibit the growth of Helicobacter pylori and that required to inhibit the growth of common aerobic and anaerobic bacteria. Exposure of Helicobacter pylori (ATCC43504) to NE-2001 at the MIC (4 mug/ml), or at a greater concentration, resulted in an extensive loss of viability. The phenomenon was also observed at pH levels between 3.0 and 7.0. When two clinical Helicobacter pylori strains were successively cultured at subinhibitory concentrations of NE-2001, no significant changes in the bactericidal effects were found. The morphological alterations of Helicobacter pylori cells (ATCC43504), exposed to NE-2001 at various concentrations for 6 h, were observed using transmission electron microcopy. The bacterium displayed features such as swelling, vacuole-like structures in the cytoplasm, and cell destruction following exposure to NE-2001. The efficacy of NE-2001 was maintained when evaluated in eight clinical isolates resistant to metronidazole and five isolates resistant to both metronidazole and clarithromycin (MIC ranging between 4 and 16 mug/ml). The above-described results suggest that NE-2001 may have the potential to be developed as a candidate agent for the treatment of Helicobacter pylori infection.
Hemicellulosic Waste and Urea for Control of Plant Parasitic Nematodes: Effect on Soil Enzyme Activities (1983)

Combination treatments of hemicellulosic waste (HW) from paper manufacture and urea (U) were studied for their nematicidal activity and their effect on enzymatic activities and nitrogen transformations in soil under greenhouse conditions. Urea applied at rates of 200-1000 mg N/kg soil reduced populations of plant parasitic nematodes but caused severe phytotoxicity in 'Ransom' soybeans [Glycine max (L) Merr.]. When HW was combined with U the effectiveness of urea against nematodes was retained but urea phytotoxicity was reduced or eliminated over the range of 200-800 mg urea-N/kg soil. Treatments with HW alone over the range of 2-32 g/kg soil reduced nematode numbers; however, the degree of reduction depended on both the nematode species and HW rate. HW alone failed to eliminate all plant parasitic nematodes but when combined with urea (400 mg N/kg soil), the combination was nematicidal at all rates tested. HW + U treatments containing 16 or 32 g HW/kg soil and 400 mg urea-N/kg soil w
Predictive Modeling for Identifying Return Defaulters in Goods and Services Tax (2018)

Tax evasion is an illegal practice where a person or a business entity intentionally avoids paying his/her true tax liability. Any business entity is required by the law to file their tax return statements following a periodical schedule. Avoiding to file the tax return statement is one among the most rudimentary forms of tax evasion. The dealers committing tax evasion in such a way are called return defaulters. In this paper, we construct a logistic regression model that predicts with high accuracy whether a business entity is a potential return defaulter for the upcoming tax-filing period. For the same, we analyzed the effect of the amount of sales/purchases transactions among the business entities (dealers) and the mean absolute deviation (MAD) value of the first digit Benford's law on sales transactions by a business entity. We developed this model for the commercial taxes department, government of Telangana, India.
Effective treatment of early allergic and late inflammatory symptoms of allergic rhinitis with Ze 339 (Tesalin® n): Results of a non-interventional observational study (2014)

Introduction: Tesalin® n (Ze 339) is indicated for the treatment of symptoms of allergic rhinitis (hay-fever) as well as related symptoms in eyes, nose and throat. Its efficacy was confirmed in numerous clinical studies. In the latest publication the excellent efficacy of Tesalin® n in the treatment of nasal congestion, an example for the late inflammatory symptoms of allergic rhinitis, was once more confirmed [1].
Biocompatibility of Liposome Nanocarriers in the Rat Inner Ear After Intratympanic Administration (2017)

Liposome nanocarriers (LPNs) are potentially the future of inner ear therapy due to their high drug loading capacity and efficient uptake in the inner ear after a minimally invasive intratympanic administration. However, information on the biocompatibility of LPNs in the inner ear is lacking. The aim of the present study is to document the biocompatibility of LPNs in the inner ear after intratympanic delivery. LPNs with or without gadolinium-tetra-azacyclo-dodecane-tetra-acetic acid (Gd-DOTA) were delivered to the rats through transtympanic injection. The distribution of the Gd-DOTA-containing LPNs in the middle and inner ear was tracked in vivo using MRI. The function of the middle and inner ear barriers was evaluated using gadolinium-enhanced MRI. The auditory function was measured using auditory brainstem response (ABR). The potential inflammatory response was investigated by analyzing glycosaminoglycan and hyaluronic acid secretion and CD44 and TLR2 expression in the inner ear. The potential apoptosis was analyzed using terminal transferase (TdT) to label the free 3'OH breaks in the DNA strands of apoptotic cells with TMR-dUTP (TUNEL staining). As a result, LPNs entered the inner ear efficiently after transtympanic injection. The transtympanic injection of LPNs with or without Gd-DOTA neither disrupted the function of the middle and inner ear barriers nor caused hearing impairment in rats. The critical inflammatory biological markers in the inner ear, including glycosaminoglycan and hyaluronic acid secretion and CD44 and TLR2 expression, were not influenced by the administration of LPNs. There was no significant cell death associated with the administration of LPNs. The transtympanic injection of LPNs is safe for the inner ear, and LPNs may be applied as a drug delivery matrix in the clinical therapy of sensorineural hearing loss.
Live-Attenuated Bacterial Vectors: Tools for Vaccine and Therapeutic Agent Delivery (2015)

Genetically attenuated microorganisms, including pathogenic and commensal bacteria, can be engineered to carry and deliver heterologous antigens to elicit host immunity against both the vector as well as the pathogen from which the donor gene is derived. These live attenuated bacterial vectors have been given much attention due to their capacity to induce a broad range of immune responses including localized mucosal, as well as systemic humoral and/or cell-mediated immunity. In addition, the unique tumor-homing characteristics of these bacterial vectors has also been exploited for alternative anti-tumor vaccines and therapies. In such approach, tumor-associated antigen, immunostimulatory molecules, anti-tumor drugs, or nucleotides (DNA or RNA) are delivered. Different potential vectors are appropriate for specific applications, depending on their pathogenic routes. In this review, we survey and summarize the main features of the different types of live bacterial vectors and discussed the clinical applications in the field of vaccinology. In addition, different approaches for using live attenuated bacterial vectors for anti-cancer therapy is discussed, and some promising pre-clinical and clinical studies in this field are outlined.
Human Monoclonal Fab FragmentsRecovered from a Combinatorial LibraryBind Specifically to the Platelet HPA-1aAlloantigen on Glycoprotein IIb—IIIa (1997)

Background and objectives: Certain clinical conditions are related to the presence of platelet-specific alloantibodies in the patient’s serum. We studied the molecular diversity of HPA-1a antibodies to analyze some peculiarities of this antibody response. Materials and methods: Human antibody Fab fragments that bind to the platelet alloantigen HPA-la on glycoprotein Ilb-IIIa (GPIIbllla) were generated by using a recombinant phage display system. We established an immunoglobulin Gl, kappa combinatorial library from the peripheral blood lymphocytes of a person undergoing a severe posttransfusion purpura. Results: Characterization of Fab clones selected from the fifth round of antigen-specific panning of this library demonstrates a highly specific reactivity to the HPA-1a alloantigen. The nucleotide sequence analysis of representative HPA-1a-specific clones reveals at least 3 distinct VL and 3 V(H) gene segments that present an extensive degree of mutation as demonstrated by comparison of gene usage and homologies to the nearest germline genes. Conclusions: These human HPA-laspecific Fab reagents should allow us to better understand the molecular mechanism involved in HPA-1a alloimmunization.
A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition (2017)

This paper addresses the problem of simultaneous 3D reconstruction and material recognition and segmentation. Enabling robots to recognise different materials (concrete, metal etc.) in a scene is important for many tasks, e.g. robotic interventions in nuclear decommissioning. Previous work on 3D semantic reconstruction has predominantly focused on recognition of everyday domestic objects (tables, chairs etc.), whereas previous work on material recognition has largely been confined to single 2D images without any 3D reconstruction. Meanwhile, most 3D semantic reconstruction methods rely on computationally expensive post-processing, using Fully-Connected Conditional Random Fields (CRFs), to achieve consistent segmentations. In contrast, we propose a deep learning method which performs 3D reconstruction while simultaneously recognising different types of materials and labeling them at the pixel level. Unlike previous methods, we propose a fully end-to-end approach, which does not require hand-crafted features or CRF post-processing. Instead, we use only learned features, and the CRF segmentation constraints are incorporated inside the fully end-to-end learned system. We present the results of experiments, in which we trained our system to perform real-time 3D semantic reconstruction for 23 different materials in a real-world application. The run-time performance of the system can be boosted to around 10Hz, using a conventional GPU, which is enough to achieve realtime semantic reconstruction using a 30fps RGB-D camera. To the best of our knowledge, this work is the first real-time end-to-end system for simultaneous 3D reconstruction and material recognition.
Characterizing Pixel Tracking through the Lens of Disposable Email Services (2019)

Disposable email services provide temporary email addresses, which allows people to register online accounts without exposing their real email addresses. In this paper, we perform the first measurement study on disposable email services with two main goals. First, we aim to understand what disposable email services are used for, and what risks (if any) are involved in the common use cases. Second, we use the disposable email services as a public gateway to collect a large-scale email dataset for measuring email tracking. Over three months, we collected a dataset from 7 popular disposable email services which contain 2.3 million emails sent by 210K domains. We show that online accounts registered through disposable email addresses can be easily hijacked, leading to potential information leakage and financial loss. By empirically analyzing email tracking, we find that third-party tracking is highly prevalent, especially in the emails sent by popular services. We observe that trackers are using various methods to hide their tracking behavior such as falsely claiming the size of tracking images or hiding real trackers behind redirections. A few top trackers stand out in the tracking ecosystem but are not yet dominating the market.
Synthesis and Structural Characterization of a Highly Effective Chiral Dipyridylphosphine Ligand and Its Application in the Ru-Catalyzed Asymmetric Hydrogenation of β-Ketoesters (2001)

A new chiral dipyridylphosphine ligand Tol-P-Phos has been synthesized and the structure of the complex of (R)-Tol-P-Phos oxide with (-)-dibenzoyl-L-tartaric acid [(-)-DBT] was determined by single crystal X-ray diffraction. The ruthenium complex of Tol-P-Phos, Ru(R-Tol-P-Phos)(C 6 H 6 )Cl 2 , has been found to be a highly active and enantioselective catalyst in the asymmetric hydrogenation of b-ketoesters (up to 98.2% e.e.). The catalyst is also found to be air-stable even in solution.
An efficient algorithm for video sequence matching using the modified Hausdorff distance and the directed divergence (2002)

To manipulate a large video database, effective video indexing and retrieval are required. A large number of video retrieval algorithms have been presented for framewise user query or video content query, whereas few video-sequence matching algorithms have been investigated. In this paper, we propose an efficient algorithm for video sequence matching using the modified Hausdorff distance and the directed divergence of histograms between successive frames. To effectively match the video sequences with a low computational load, we use the key frames extracted by the cumulative directed divergence and compare the set of key frames using the modified Hausdorff distance. Experimental results with color video sequences show that the proposed algorithms for video sequence matching yield better performance than conventional algorithms such as histogram difference, histogram intersection, and chi-square test methods.
Preparation of an Electrophilic 3-Methylindole Derivative: Difficulties in Forming a Stable, Suitable Material for the Preparation of Tryptophan (2000)

In an attempt to prepare stereoselectively beta-deuterated tryptophan, N-protected indole-3-methanol compounds were prepared with model studies being done on undeuterated material. Conversion of these compounds to electrophilic species proved exceptionally difficult and resulted in very low yields or recovered starting material only. A summary of the current results utilizing N-tosyl indole-3-methanol will be presented as well as efforts using N-Boc indole-3-methanol.
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks (2019)

Despite recent advancements in deep learning-based automatic colorization, they are still limited when it comes to few-shot learning. Existing models require a significant amount of training data. To tackle this issue, we present a novel memory-augmented colorization model MemoPainter that can produce high-quality colorization with limited data. In particular, our model is able to capture rare instances and successfully colorize them. Also, we propose a novel threshold triplet loss that enables unsupervised training of memory networks without the need for class labels. Experiments show that our model has superior quality in both few-shot and one-shot colorization tasks.
Process flow-through for service provisioning-an implementation progress report (2002)

Telecommunications industry consortia, internal IT groups at telecommunications companies, and independent software vendors are striving to implement solutions that allow service requests and alarms to automatically flow through the layers of the TMN model. Manual intervention for administrative handling of requests and alarms is no longer a viable option where competitive customer service capabilities are important. It is generally agreed that these capabilities are critical to the basic success of telecommunications providers in the coming years. This paper summarizes the progress made in implementing process flow-through for an automated provisioning system created by Architel Systems, Inc. An overview of the architecture, benefits, and impact of the solution is provided. An overview of Architel's ASAP system is provided, highlighting the benefits and value of the system. Architel's impact on the industry has demonstrated the value of a balanced mixture of new and existing technologies, standards, and innovative software design.