gebhart/patrepeval huggingface dataset:
Regulation of benzoate-CoA ligase in<i>Rhodopseudomonas palustris</i> (1991)

The first step in the anaerobic pathway of benzoate degradation by Rhodopseudomonas palustris is catalyzed by benzoate-coenzyme A ligase. To study factors influencing the synthesis of this enzyme, a polyclonal antiserum was prepared and in immunoblot assays. Benzoate-CoA ligase was synthesized when cells were grown with benzoate, as well as with hydroxyl- and methyl-substituted benzoates. Partially reduced alicyclic compounds proposed to be intermediates in the benzoate pathway also induced benzoate-CoA ligase. Ligase synthesis was repressed by oxygen. The diversity of inducers is consistent with the observation that benzoate is a central intermediate in the degradation of a variety of aromatic acids with more complex structures.
Dynamic Internetworking Based on Late Locator Construction (2007)

The legacy Internet technology is optimized for a semi-static inter-domain topology. Mobility or multihoming is handled by extending the legacy technology with new protocols. This paper describes a novel internetworking architecture with native support for a highly dynamic edge topology. The architecture distinguishes between a rather static core network on the one hand, and on the other hand edge networks forming an edge topology that may change on a short timescale due to mobility or re-homing events. The source host addresses the destination host directly with a hierarchically structured global locator. Indirection via a mobility agent is thus not needed. The name to locator resolution is based on a novel mechanism that constructs a global host locator on-demand that describes the current internetwork path from the core network to the host (late locator construction). This enables the resolution of the host name into a hierarchical and topologically significant host locator also with a highly dynamic edge topology where the path to the destination host traverses several moving and multihomed networks. The same locator construction mechanism is used to handle both node and network mobility as well as multihoming. Simulation results that verify the basic functionality of the late locator construction approach are reported.
The Release of Nerve Growth Factor from the Nasal Mucosa Following Toluene Diisocyanate (2005)

Toluene diisocyanate (TDI) produces rhinitis, nasal irritation, and increased synthesis and release of substance P (SP) from airway sensory nerves. Nerve growth factor (NGF) secretion in the nasal cavity is believed to mediate the irritant-induced upregulation of SP, but the cellular source of NGF in the nasal mucosa remains unclear. Studies to localize a source of NGF within the nasal mucosa are complicated by inflammatory-cell influx into the nasal mucosa following TDI, which obscures immunocytochemical identification of endogenous NGF sources. The purpose of this study was to determine the cellular source of NGF within the nasal mucosa following irritant exposure using a combined in vivo and ex vivo approach to reduce or eliminate contribution from inflammatory cells. Both nasal cavities of adult, male Sprague-Dawley rats were instilled with 5 microl of 10% TDI or control vehicle. After 15 min, nasal lavages were performed and the nasal mucosa was removed and placed into culture for 3 or 24 h. NGF was measured in the lavage supernatant and the culture media. Fifteen minutes after TDI exposure, NGF was significantly increased in the nasal lavage fluid. NGF levels in the culture medium of nasal mucosa from rats exposed to TDI ex vivo were significantly increased compared to controls following a 3-h culture. NGF levels in media after 24 h in culture was higher than at the 3-h point, but there was no difference between control and TDI groups. Since the nasal mucosa was removed prior to inflammatory cell influx, these findings suggest that cells in the nasal mucosa release NGF following exposure to TDI.
Lightweight Directory Access Protocol (LDAP) Transactions (2010)

Lightweight Directory Access Protocol (LDAP) update operations, such as Add, Delete, and Modify operations, have atomic, consistency, isolation, durability (ACID) properties. Each of these update operations act upon an entry. It is often desirable to update two or more entries in a single unit of interaction, a transaction. Transactions are necessary to support a number of applications including resource provisioning. This document extends LDAP to support transactions.
Gigahertz transresistance amplifiers in fine line NMOS (1984)

Two front-end amplifiers for fiber optics applications at gigabit data rates were fabricated in fine-line NMOS. One was designed for operation at 1 Gb/s and a simpler circuit was designed for 1.7 Gb/s, with the function of amplifying a photocurrent into an output voltage. An automatic gain control (AGC) optionally follows the first amplifier. The bandwidth of the first amplifier was measured to be 920 MHz, with optical operation at 800 Mb/s at an optical sensitivity of -28 dB using a pin detector for light at 1.3 /spl mu/m wavelength. The bandwidth of the second amplifier 32 dB at a bandwidth of 870 MHz. Both circuits operated at less than their designed frequency because of discrepancies between expected and measured transconductances.
Resveratrol Is a Potent Inhibitor of the Dioxygenase Activity of Lipoxygenase (1999)

Resveratrol is a naturally occurring phytoalexin, present in grapes and other food products, with important antioxidant properties. Although still under debate, it is generally assumed that resveratrol has protective effects against heart diseases and probably tumor development. Lipoxygenase is a dioxygenase with peroxidase activity involved in the synthesis of mediators in inflammatory, atherosclerotic, and carcinogenic processes. Lipoxygenase activity is also involved in the generation of flavors and aromas in foods from animal or vegetal sources. The results presented here show that resveratrol was a potent inhibitor of the dioxygenase activity of lipoxygenase, with an IC(50) = 13 microM. Simultaneously, resveratrol was oxidized by the peroxidase activity of lipoxygenase with a V(max) = 0.28 microM min(-1) and a k(M) = 16.6 microM. Furthermore, oxidized resveratrol was as efficient a lipoxygenase inhibitor as in its reduced form. From the data obtained it can be concluded that both resveratrol and its oxidized form can act as inhibitors of the dioxygenase activity of lipoxygenase. In contrast, the hydroperoxidase activity of lipoxygenase was not inhibited by resveratrol. These results suggest that resveratrol may be used as an antioxidant food additive and as a pharmacological agent to prevent the generation of eicosanoids involved in pathological processes.
Two Feature-Level Fusion Methods with Feature Scaling and Hashing for Multimodal Biometrics (2016)

This paper presents a new feature-level information fusion mechanism based on shuffle coding, called shuffle coding-based feature-level fusion (SC-FLF), for personal authentication. Our approach (SC-FLF) aims at constructing an information fusion mechanism to integrate features from the same or different feature spaces in which the ranges of feature values from different traits differ largely. In this mechanism, the shuffle-coding operator includes dimension adjustment, feature standardization, and fusion coding. This paper addresses two distinct methods, such as feature scaling and hashing, to standardize the range of independent features of data. The shuffle encoder of the SC-FLF in Method 1 uses a feature scaling and the resulting binary code represents the distance between a set of normalized feature values with 2’s complement. On the other hand, in Method 2, the shuffle encoder of the SC-FLF with hashing uses a projection framework for maximizing the features on a hyperplane and then quantizes the hash values as a sequence of binary codes. A XOR operation works as the fusion coding to produce the resulting fusion code. Three different types of fusion are designed to evaluate the fusion performance. Experimental validation illustrates that the proposed fusion methods for combining features in multimodal biometrics advances the recognition performance significantly.
Droughtmonitoring for the middle reaches of yarlung zangbo river and its two tributaries from satellite images (2013)

The middle reaches of Yarlung Zangbo River (YR) and its two tributaries (Lhasa River and Nianchu River) is a main agricultural region in central Tibet Autonomous Region. Drought monitoring has significant meaning for local crop growth monitoring, crop yield assessment and disaster monitoring. It also has great theoretical importance for understanding local energy and water balance status. In this paper, MODIS data on 14 April 2003, 16 October 2003 under nearly clear weather conditions are selected as the spring and autumn cases. The land surface parameters, such as land surface temperature (LST), albedo, Normalized Difference Vegetation Index (NDVI), emissivity etc., have been derived from different algorithms for MODIS data. In combination with meteorological data, the drought severity index (DSI) is determined by applying Surface Energy Balance System (SEBS). The estimations show that spring drought is much more severe than autumn drought. The river runoff is the dominant factor for spring drought. The spatial variations of drought conditions in the middle reaches of YR and its two tributaries can also be clearly identified.
Improved technique for the preparation of Ga <sub> <i>x</i> </sub> Al <sub> 1− <i>x</i> </sub> As electroluminescent diodes (1972)

An improved technique for the preparation of GaxAl1−xAs electroluminescent diodes is described. Multilayer structures grown by liquid-phase epitaxy are used to achieve high external quantum efficiencies.
Application of a Microcomputer-Based System to Control and Monitor Bacterial Growth (1984)

A modular microcomputer-based system was developed to control and monitor various modes of bacterial growth. The control system was composed of an Apple II Plus microcomputer with 64-kilobyte random-access memory; a Cyborg ISAAC model 91A multichannel analog-to-digital and digital-to-analog converter; paired MRR-1 pH, pO(2), and foam control units; and in-house-designed relay, servo control, and turbidimetry systems. To demonstrate the flexibility of the system, we grew bacteria under various computer-controlled and monitored modes of growth, including batch, turbidostat, and chemostat systems. The Apple-ISAAC system was programmed in Labsoft BASIC (extended Applesoft) with an average control program using ca. 6 to 8 kilobytes of memory and up to 30 kilobytes for datum arrays. This modular microcomputer-based control system was easily coupled to laboratory scale fermentors for a variety of fermentations.
Try to Remember: Interplay between Memory and Substance Use Disorder (2018)

Memories associated with substance use disorders, or substance-associated cues increase the likelihood of craving and relapse during abstinence. There is a growing consensus that manipulation of synaptic plasticity may reduce the strength of substance abuse-related memories. On the biological front, there are new insights that suggest memories associated with substance use disorder may follow unique neurobiological pathways that render them more accessible to pharmacological intervention. In parallel to this, research in neurochemistry has identified several potential candidate molecules that could influence the formation and maintenance of long-term memory. Drugs that target these molecules (blebbistatin, isradipine and zeta inhibitory peptide) have shown promise at the preclinical stage. In this review, we shall provide an overview of the evolving understanding on the biochemical mechanisms involved in memory formation and expound on the premise that substance use disorder is a learning disorder.
Individual differences in transcranial electrical stimulation current density (2013)

Transcranial electrical stimulation (TCES) is effective in treating many conditions, but it has not been possible to accurately forecast current density within the complex anatomy of a given subject's head. We sought to predict and verify TCES current densities and determine the variability of these current distributions in patient-specific models based on magnetic resonance imaging (MRI) data. Two experiments were performed. The first experiment estimated conductivity from MRIs and compared the current density results against actual measurements from the scalp surface of 3 subjects. In the second experiment, virtual electrodes were placed on the scalps of 18 subjects to model simulated current densities with 2 mA of virtually applied stimulation. This procedure was repeated for 4 electrode locations. Current densities were then calculated for 75 brain regions. Comparison of modeled and measured external current in experiment 1 yielded a correlation of r = .93. In experiment 2, modeled individual differences were greatest near the electrodes (ten-fold differences were common), but simulated current was found in all regions of the brain. Sites that were distant from the electrodes (e.g. hypothalamus) typically showed two-fold individual differences. MRI-based modeling can effectively predict current densities in individual brains. Significant variation occurs between subjects with the same applied electrode configuration. Individualized MRI-based modeling should be considered in place of the 10-20 system when accurate TCES is needed.
El destino desde el punto de vista psicológico (1961)

Destino forzado (anancastico) y destino personal o libre: El destino es en la concepcion de la moderna psicologia profunda inspirada en Szondi, el proyecto profundo vital del hombre. En la vida de cada ser humano hay un proyecto definido, De acuerdo con las investigaciones realizadas por la escuela del eminente Heredo-Psiquiatra y Psicoanalista Hungaro, concurren seis factores que intervienen en este plan: 1) la herencia; 2) el caracter de los instintos; 3) el medio social 4) el medio filosofico e intelectual (mundo de la cultura); 5) el Yo; 6) el Espiritu, la mas alta instancia del destino.
Designing and Testing a UAV Mapping System for Agricultural Field Surveying (2017)

A Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV) can map the overflown environment in point clouds. Mapped canopy heights allow for the estimation of crop biomass in agriculture. The work presented in this paper contributes to sensory UAV setup design for mapping and textual analysis of agricultural fields. LiDAR data are combined with data from Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU) sensors to conduct environment mapping for point clouds. The proposed method facilitates LiDAR recordings in an experimental winter wheat field. Crop height estimates ranging from 0.35-0.58 m are correlated to the applied nitrogen treatments of 0-300 kg N ha . The LiDAR point clouds are recorded, mapped, and analysed using the functionalities of the Robot Operating System (ROS) and the Point Cloud Library (PCL). Crop volume estimation is based on a voxel grid with a spatial resolution of 0.04 × 0.04 × 0.001 m. Two different flight patterns are evaluated at an altitude of 6 m to determine the impacts of the mapped LiDAR measurements on crop volume estimations.
Partial Redirection of Transgenic Human Growth Hormone Secretion from Rat Salivary Glands (2005)

Regulated secretory pathway proteins, when delivered as transgenes to salivary glands, are secreted predominantly into saliva. This is not useful for those proteins whose therapeutic function is required systemically, for example, human growth hormone (hGH). One strategy to improve the efficiency of hGH secretion into the bloodstream involves manipulation of existing sorting signals. The C terminus of hGH is highly conserved and contains a domain similar to the regulated pathway sorting domain of pro-opiomelanocortin (POMC). We hypothesized that, similar to POMC, mutation of this domain would divert hGH secretion from the regulated to the constitutive pathway, which in salivary glands leads to the bloodstream. Several mutations were made in the C terminus of the hGH cDNA and tested in vitro. One biologically active mutant containing E174A and E186A substitutions, and with an included C-terminal extension, was studied in greater detail. Compared with wild-type hGH, we found that this mutant hGH accumulated in the Golgi/trans-Golgi network and showed increased basal secretion in AtT20 cells, a model endocrine cell line. Importantly, in vivo, the mutant hGH displayed a relative increase in the proportion of constitutive pathway secretion seen from rat salivary glands, with a significantly lower saliva-versus-serum secretion ratio (p=0.03). Although this mutant is unlikely to be therapeutically beneficial, these results suggest that the final destination of a transgenic secretory protein may be controlled by reengineering its sorting determinants.
A study on ductility of nano-particles reinforced cement-based composites (2009)

The ductility of high strength nano-TiO<sub>2</sub> reinforced cement-based composites were experimentally studied and compared with that of plain cement-based composite and cement-based composite containing silica fume by stress-strain relationship. The results showed that the ductility of high strength cement-based composite containing nano-TiO<sub>2</sub> were better than that of plain cement-based composite and cement-based composite containing silica fume, which demonstrated that it is an available and effective way to improve ductility of high strength cement-based composite by means of mixing nanophase materials into cement-based composite. The origin of nanoparticles improving ductility of high strengthen cement-based composite was also preliminary interpreted.
A Preparation of Perpendicular Magnetic Recording Media by an Electroless Plating Method (1983)

(63850154) 昭和63年度科学研究費補助金(試験研究(1)) 研究代表者逢坂哲彌(早稲田大学理工学部応用化学科)
Face indexing on video data-extraction, recognition, tracking and modeling (2002)

This paper proposes a human face indexing system for video data with face extraction, recognition, tracking and modeling functions. The proposed system can extract, recognize and track the human faces regardless of their orientation and sizes. The time sections including tracked faces are recorded with their names as indices. These indices can be used to classify or retrieve the video data. If the face could not be recognized the tracked facial images can be used for face modeling. We used subspace methods for the face extraction, recognition and tracking.
Stack testing of the mobile plasma arc unit (1987)

A trial-burn program involving a plasma-pyrolysis system was conducted at the Royal Military College, Kingston, Ontario. The plasma-pyrolysis unit was developed by Pyrolysis Systems, Inc. under contract to the New York State Department of Environmental Conservation (NYSDEC). HWERL-Ci under a joint agreement funded the performance evaluation phase. Trial burns were conducted while firing carbon tetrachloride and polychlorinated biphenyls which are RCRA and TSCA regulated compounds, respectively. Results from the trial burns indicate that the system is acceptable for treating these two compound classes in reference to the RCRA ( > or = 99.99% DRE) and TSCA ( > or = 99.9999% DRE) requirements.
Diversity, classification and function of the plant protein kinase superfamily (2012)

Eukaryotic protein kinases belong to a large superfamily with hundreds to thousands of copies and are components of essentially all cellular functions. The goals of this study are to classify protein kinases from 25 plant species and to assess their evolutionary history in conjunction with consideration of their molecular functions. The protein kinase superfamily has expanded in the flowering plant lineage, in part through recent duplications. As a result, the flowering plant protein kinase repertoire, or kinome, is in general significantly larger than other eukaryotes, ranging in size from 600 to 2500 members. This large variation in kinome size is mainly due to the expansion and contraction of a few families, particularly the receptor-like kinase/Pelle family. A number of protein kinases reside in highly conserved, low copy number families and often play broadly conserved regulatory roles in metabolism and cell division, although functions of plant homologues have often diverged from their metazoan counterparts. Members of expanded plant kinase families often have roles in plant-specific processes and some may have contributed to adaptive evolution. Nonetheless, non-adaptive explanations, such as kinase duplicate subfunctionalization and insufficient time for pseudogenization, may also contribute to the large number of seemingly functional protein kinases in plants.
Adapting Computer Vision Models To Limitations On Input Dimensionality And Model Complexity (2020)

When considering instances of distributed systems where visual sensors communicate with remote predictive models, data traffic is limited to the capacity of communication channels, and hardware limits the processing of collected data prior to transmission. We study novel methods of adapting visual inference to limitations on complexity and data availability at test time, wherever the aforementioned limitations exist. Our contributions detailed in this thesis consider both task-specific and task-generic approaches to reducing the data requirement for inference, and evaluate our proposed methods on a wide range of computer vision tasks. This thesis makes four distinct contributions: (i) We investigate multi-class action classification via two-stream convolutional neural networks that directly ingest information extracted from compressed video bitstreams. We show that selective access to macroblock motion vector information provides a good low-dimensional approximation of the underlying optical flow in visual sequences. (ii) We devise a bitstream cropping method by which AVC/H.264 and H.265 bitstreams are reduced to the minimum amount of necessary elements for optical flow extraction, while maintaining compliance with codec standards. We additionally study the effect of codec rate-quality control on the sparsity and noise incurred on optical flow derived from resulting bitstreams, and do so for multiple coding standards. (iii) We demonstrate degrees of variability in the amount of data required for action classification, and leverage this to reduce the dimensionality of input volumes by inferring the required temporal extent for accurate classification prior to processing via learnable machines. (iv) We extend the Mixtures-of-Experts (MoE) paradigm to adapt the data cost of inference for any set of constituent experts. We postulate that the minimum acceptable data cost of inference varies for different input space partitions, and consider mixtures where each expert is designed to meet a different set of constraints on input dimensionality. To take advantage of the flexibility of such mixtures in processing different input representations and modalities, we train biased gating functions such that experts requiring less information to make their inferences are favoured to others. We finally note that, our proposed data utility optimization solutions include a learnable component which considers specified priorities on the amount of information to be used prior to inference, and can be realized for any combination of tasks, modalities, and constraints on available data.