gebhart/patrepeval huggingface dataset:
Analysis of a small agricultural watershed using remote sensing techniques (2006)

Abstract Salinization of land and sweet water is an increasing problem worldwide. In the Carpathian Basin, particularly in arid and semi‐arid regions, irrigation is a contributing factor to the secondary salinization problems, one of the major problems affecting soils in Hungary. Conventional broadband sensors such as SPOT, Landsat MSS, and Landsat ETM+ are not suitable for mapping soil properties, because their bandwidth of 100–200 mm cannot resolve diagnostic spectral features of terrestrial materials. Analytical techniques, developed for analysis of broadband spectral data, are incapable of taking advantage of the full range of information present in hyperspectral remote sensing imagery. In our pilot project in Tedej farm in the Great Plain Region, Hungary, the DAIS sensor was used to assess salinity risk, covering the spectral range from the visible to the thermal infrared wavelengths at 5 m spatial resolution, and other major indicators of soil salinization (NDVI, SAVI, canopy cover) were quantified with advanced remote sensing techniques using the TETRACAM ADC agricultural multispectral camera which offers red/green and NIR imaging at megapixel resolution. As a result, prominent absorption bands around 1450 nm and 1950 nm wavelength in most soil spectra are attributed to water and hydroxyl ions. Occasional weaker absorption bands caused by water also occur at 970, 1200, and 1700 nm. Absorption features near the 400 nm wavelength for all samples are also noticeable. Absorption bands at 1800 and 2300 nm are attributed to gypsum, while strong absorption features near 2350 nm are assigned to calcite (CaCo3). Saline soils exhibited significantly higher reflectance values all throughout the 325–2500 nm wavelengths of the spectrum. Soils with a high amount of soluble salts gave a higher average reflectance than soils with a low salt content. In the project, an ADC camera‐based real‐time integrated system was developed to take advantage of more specialized spectral information and to provide even more accurate and useful data directly from the field. The results revealed that the NDVI and SAVI index and the canopy cover mapping taken with multispectral cameras can be useful as an indirect marker and help for detecting salinization. However, we did not find a strong correlation between NDVI and soil salinity. This is probably because the detection and assessment of lower levels of salinity are difficult, mainly owing to the nature of the remotely sensed images; with such images, it is not possible to obtain information on the third dimension of the 3‐D soil body. Also, the impact of salinity on electromagnetic properties needs to be explored further to understand how it can be derived indirectly from remotely sensed information. With the rapid validation of remotely sensed hyperspectral data, the decision in the future, with the best trade‐off between irrigation and sustainable land use made by agricultural specialists in this region, can be more environmentally sound and more accurate using the results from the pilot.
Human Papillomavirus Infection in Women Infected with the Human Immunodeficiency Virus (1997)

HIV-seropositive women have a high rate of persistent HPV infections with the types of HPV that are strongly associated with the development of high-grade squamous intraepithelial lesions and invasive cervical cancer. These persistent infections may explain the increased incidence of squamous intraepithelial lesions in HIV-seropositive women.
Membrane extraction of metal ions by aminophosphoryl reagents in the active transport conditions (2013)

The process of membrane extraction of rare earth ions, Nd(III), Sc(III), and Sm(III), and also the accompanying them in the natural raw material ions Al(III) and Mg(II), by N,N-bis(dihexylphosphorylmethyl)octylamine (BPA) was investigated under the conditions of active membrane transport, and its high efficiency and selectivity was demonstrated with respect to the two first rare earth metals. The influence of principal parameters of the three-phase extraction process, including the nitrate ion concentration, the releasing aqueous phase acidity, the extracting agent concentration in the membrane, and the nature of the membrane solvent, on the membrane permeability, characterizing the efficiency and selectivity of membrane transporters, was established. Comparison of the membrane permeability in the process of transmembrane transport of Nd(III) and Sc(III) with BPA and monophosphorylated amines showed a significant advantage of the biphosphorylated amine extractant.
Convolutional Models for Joint Object Categorization and Pose Estimation (2015)

In the task of Object Recognition, there exists a dichotomy between the categorization of objects and estimating object pose, where the former necessitates a view-invariant representation, while the latter requires a representation capable of capturing pose information over different categories of objects. With the rise of deep architectures, the prime focus has been on object category recognition. Deep learning methods have achieved wide success in this task. In contrast, object pose regression using these approaches has received relatively much less attention. In this paper we show how deep architectures, specifically Convolutional Neural Networks (CNN), can be adapted to the task of simultaneous categorization and pose estimation of objects. We investigate and analyze the layers of various CNN models and extensively compare between them with the goal of discovering how the layers of distributed representations of CNNs represent object pose information and how this contradicts with object category representations. We extensively experiment on two recent large and challenging multi-view datasets. Our models achieve better than state-of-the-art performance on both datasets.
Quasi-two-dimensional domain structures of magnetic particles in a static field (1994)

An array of magnetic-particle chains is assembled and aligned in a magnetic field H, and its structures are studied by small-angle light scattering. The system undergoes a series of structural changes: single particles \ensuremath{\rightarrow} disordered anisotropical domains \ensuremath{\rightarrow} array of strongly correlated columns, as H increases. Different structure regions are separated by two critical field lines ${\mathit{H}}_{\mathit{C}1}$(\ensuremath{\varphi}) and ${\mathit{H}}_{\mathit{C}2}$(\ensuremath{\varphi}), where \ensuremath{\varphi} is the concentration of the particles. Due to disorders inherited in the self-assembling process, the magnetic columns remain short-range ordered even in the strong-field limit, H\ensuremath{\gg}${\mathit{H}}_{\mathit{C}2}$.
Implementation of a multi-D trellis decoder for a 155 Mbit/s concatenated codec (2002)

An implementation of a 16 state, rate 8/9 six-dimensional (6-D) 8PSK rotationally invariant trellis decoder for use in a concatenated codec is described, The concatenated codec allows transmission of STM-1 signals (at the 155.52 Mbit's information rate) over a 72 MHz satellite transponder. The inner trellis decoder is used with an outer (255,239) Reed-Solomon (RS) block decoder. The trellis decoder operates at 165.93 Mbit/s and currently has an implementation loss of only 0.2 dB. The concatenated codec achieves a bit error ratio of 10/sup -10/ at an E/sub b/N/sub 0/ of 8.2 dB (assuming an ideal modem and AWGN channel).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Synthesis and biological activity of 5-fluoro-2',3'-dideoxy-3'-fluorouridine and its 5'-phosphate (1984)

5-Fluoro-2',3'-dideoxy-3'-fluorouridine (3'-FFdUrd) and 5-fluoro-2',3'-dideoxy-3'-fluorouridine 5'-phosphate (3'-FFdUMP) have been synthesized, and their interactions with thymidine (dThd) phosphorylase and thymidylate (dTMP) synthetase, respectively, have been examined. 3'-FFdUrd is not a substrate for dThd phosphorylase, but is a weak, noncompetitive inhibitor (Ki = 1.7 mM). 3'-FFdUMP inhibits dTMP synthetase competitively with deoxyuridylate (Ki = 0.13 mM) when both the substrate and inhibitor are present simultaneously. However, in the presence of 5,10-methylenetetrahydrofolate, the inhibition increases with time in a first-order manner (konobsd = 0.029 s-1). A complex is formed between [6-3H]3'-FFdUMP and dTMP synthetase, which is isolable on nitrocellulose filters, and has a dissociation rate (koffobsd = 1.4 X 10(-2) min-1) similar to that of the potent inhibitor 5-fluoro-2'-deoxyuridylate (koffobsd = 1.3 X 10(-2) min-1) from its ternary complex with dTMP synthetase. These results are explained in terms of a two-stage model involving the initial formation of a reversible adsorption complex, followed by a slow conversion to a tight-binding catalytic complex.
Isolation and genetic characterizations of Bacillus megaterium cobalamin biosynthesis-deficient mutants (1986)

Ethanolamine is deaminated by the action of ethanolamine ammonia-lyase (EC 4.3.1.7), an adenosylcobalamin-dependent enzyme. Consequently, to grow on ethanolamine as a sole nitrogen source, Bacillus megaterium requires vitamin B12. Identification of B. megaterium mutants deficient for growth on ethanolamine as the sole nitrogen source yielded a total of 34 vitamin B12 auxotrophs. The vitamin B12 auxotrophs were divided into two major phenotypic groups: Cob mutants, which could use cobinamide or vitamin B12 to grow on ethanolamine, and Cbl mutants, which could be supplemented only by vitamin B12. The Cob mutants were resolved into six classes and the Cbl mutants were resolved into three, based on the spectrum of cobalt-labeled corrinoid compounds which they accumulated. Although some radiolabeled cobalamin was detected in the wild type, little or none was evident in the auxotrophs. The results indicate that Cob mutants contain lesions in biosynthetic steps before the synthesis of combinamide, while Cbl mutants are defective in the conversion of cobinamide to cobalamin. Analysis of phage-mediated transduction experiments revealed tight genetic linkage within the Cob class and within the Cbl class. Similar transduction analysis indicated the Cob and Cbl classes are weakly linked. In addition, cross-feeding experiments in which extracts prepared from mutants were examined for their effect on growth of various other mutants allowed a partial ordering of mutations within the cobalamin biosynthetic pathway.
Increase in ubiquitin-protein conjugates concomitant with the increase in proteolysis in rat skeletal muscle during starvation and atrophy denervation (1995)

The rapid loss of skeletal-muscle protein during starvation and after denervation occurs primarily through increased rates of protein breakdown and activation of a non-lysosomal ATP-dependent proteolytic process. To investigate whether protein flux through the ubiquitin (Ub)-proteasome pathway is enhanced, as was suggested by related studies, we measured, using specific polyclonal antibodies, the levels of Ub-conjugated proteins in normal and atrophying muscles. The content of these critical intermediates had increased 50-250% after food deprivation in the extensor digitorum longus and soleus muscles 2 days after denervation. Like rates of proteolysis, the amount of Ub-protein conjugates and the fraction of Ub conjugated to proteins increased progressively during food deprivation and returned to normal within 1 day of refeeding. During starvation, muscles of adrenalectomized rats failed to increase protein breakdown, and they showed 50% lower levels of Ub-protein conjugates than those of starved control animals. The changes in the pools of Ub-conjugated proteins (the substrates for the 26S proteasome) thus coincided with and can account for the alterations in overall proteolysis. In this pathway, large multiubiquitinated proteins are preferentially degraded, and the Ub-protein conjugates that accumulated in atrophying muscles were of high molecular mass (> 100 kDa). When innervated and denervated gastrocnemius muscles were fractionated, a significant increase in ubiquitinated proteins was found in the myofibrillar fraction, the proteins of which are preferentially degraded on denervation, but not in the soluble fraction. Thus activation of this proteolytic pathway in atrophying muscles probably occurs initially by increasing Ub conjugation to cell proteins. The resulting accumulation of Ub-protein conjugates suggests that their degradation by the 26S proteasome complex subsequently becomes rate-limiting in these catabolic states.
[Role of spinal alpha adrenoceptor in the inhibition of renal sympathetic nerve activity and natriuresis induced by blood volume expansion in rabbits]. (1997)

The effect of spinal alpha adrenoceptor blockage on the inhibition of renal sympathetic nerve activity (RSNA) and natriuresis induced by blood volume expansion was investigated in anesthetized and bilateral sinoaortic denervated rabbits. In the groups of rabbits with intrathecal injection of alpha-adrenoceptor blocker phentolamine or artificial cerebrospinal fluid the inhibition of RSNA induced by blood volume expansion were (-25.4 +/- 5.4)% and (-42.5 +/- 5.2)% respectively (P < 0.05). In the groups of rabbits with intrathecal injection of alpha 1 adtenoceptor blocker prazosin or artificial cerebrospinal fluid the inhibition of RSNA induced by blood volume expansion were (-29.3 +/- 6.1)% and (-42.5 +/- 5.2)% respectively (P < 0.05). These results suggested that both spinal alpha and alpha 1 adrenceptor blockage with attenuated the inhibition of RSNA induced by blood volume expansion. The spinal alpha 1 adrenceptor blockage with intrathecal injection of prazosin also attenuated signiticantly the natriuresis and diuresis induced by blood volume expansion (P < 0.05).
Utilizing Machine Learning for a Data Driven Approach to Flow Rate Prediction (2019)

Abstract In this study, we aim to demonstrate how machine learning can empower computational models that can predict the flow rate of a given well. Given current real-time data and periodic well tests, this new method computes flow rates using data-driven model. The computational model is based on analyzing the relations and trends in historical data. Relational databases include huge amounts of data that have been accumulated throughout decades. In addition, there is a large number of incoming operational data points every second that gives a lot of insight about the current status, performance, and health of many wells. The project aims to utilize this data to predict the flow rate of a given well. A variety of well attributes serve as inputs to the computational models that find the current flow rate. Artificial Neural Networks (ANN) were used in order to build these computational models. In addition, a grid search algorithm was used to fine-tune the parameters for the ANN for every single well. Building a single unique model for every well yielded the most accurate results. Wells that are data-rich performed better than wells with insufficient data. To further enhance the accuracy of the models, models are retrained after every incoming patch of real-time data. This retraining calibrates the models to constantly represent the true well performance and predict better. In practice, Flow rate prediction is used by production engineers to analyze the performance of a given well and to accelerate the process of well test verification. One of the main challenges in building unique models for every well is fine-tuning the parameters for the artificial neural networks, which can be a computationally intensive task. Parameter fine-tuning hasn't been discussed in previous literature regarding flow rate prediction. Therefore, our unique approach addresses the individuality of every well and builds models accordingly. This high-level of customization addresses the problem of under-fitting in ANN well models.
Urinary Estrogens and Related Compounds in Postmenopausal Women With Mammary Cancer: Effect of Cortisone Treatment (1954)

In 7 postmenopausal women with mammary cancer the urinary output of estrogens and related compounds has been studied under various conditions and compared with that of 8 normal postmenopausal women. Five of the 7 cancer patients were found to excrete excessive amounts. In these 5, when not receiving cortisone, the output of estrogens excreted as such averaged nearly 5 times the mean normal, and that of compounds estrogenic after Zn-HCl hydrolysis averaged 16 times the mean normal. Cortisone therapy markedly lowered these titres and reduced them to normal levels in 3 of 4 patients so treated. Except when under cortisone treatment the titres of estrogen and related compounds rose with advancing disease. The surgical removal of X-rayed ovaries lowered the titres of estrogens excreted as such but not of the unknown compounds rendered estrogenic by Zn-HCl treatment.
Quantized maximum ratio transmission for multiple-input multiple-output wireless systems (2003)

Multiple-input multiple-output wireless systems can provide substantial gains in capacity and quality compared to single-input single-output (SISO) wireless systems. Maximum ratio transmission has been shown to be a low complexity solution to improving average signal-to-noise ratio (SNR), however, it requires feedback. Since in practice full channel knowledge at the transmitter is difficult to realize, we propose a technique where the receiver sends channel state information in the form of a codebook label. A codebook design method is based on a quantized version of traditional maximum ratio transmission with maximum ratio combining at the receiver. The codebook design criterion exploits the quantization problem's relationship with Grassmannian line packaging. Systems using the transmit diversity codebooks are shown to have a diversity order of the product of the number of transmit and the number of receive antennas. Monte Carlo simulations compare the performance of systems using this new codebook method with previously proposed systems.
Communication through collisions: Opportunistic utilization of past receptions (2014)

When several wireless users are sharing the spectrum, packet collision is a simple, yet widely used model for interference. Under this model, when transmitters cause interference at any of the receivers, their collided packets are discarded and need to be retransmitted. However, in reality, that receiver can still store its analog received signal and utilize it for decoding the packets in the future (for example, by successive interference cancellation techniques). In this work, we propose a physical layer model for wireless packet networks that allows for such flexibility at the receivers. We assume that the transmitters will be aware of the state of the channel (i.e. when and where collisions occur, or an unintended receiver overhears the signal) with some delay, and propose several coding opportunities that can be utilized by the transmitters to exploit the available signal at the receivers for interference management (as opposed to discarding them). We analyze the achievable throughput of our strategy in a canonical interference channel with two transmitter-receiver pairs, and demonstrate the gain over conventional schemes. By deriving an outer-bound, we also prove the optimality of our scheme for the corresponding model.
Autoantibodies to aberrantly glycosylated MUC1 in early stage breast cancer are associated with a better prognosis (2011)

Autoantibodies to specific cancer associated glycoforms of MUC1 are found more frequently and at higher levels in early stage breast cancer patients than in women with benign breast disease or healthy women. Association of strong antibody response with reduced rate and delay in metastases suggests that autoantibodies can affect disease progression.
Amperometric Detection of Dopamine in Vivo with an Enzyme Based Carbon Fiber Microbiosensor (2010)

We developed a novel implantable enzyme-based carbon fiber biosensor for in vivo monitoring of dopamine. The biosensor is fabricated using tyrosinase immobilized in a biocompatible matrix consisting of a biopolymer, chitosan and ceria-based metal oxides, deposited onto the surface of a carbon fiber microelectrode with a diameter of approximately 100 microm. Tyrosinase catalyzes the conversion of dopamine to o-dopaquinone, and the reduction of o-dopaquinone, which requires a low potential difference, was detected electrochemically. The role of each component in the sensing layer was systematically investigated in relation to the analytical performance of the biosensor. In its optimal configuration, the biosensor demonstrated a detection limit of 1 nM dopamine, a linear range of 5 orders of magnitude between 10 nM and 220 microM, a sensitivity of 14.2 nA x microM(-1), and good selectivity against ascorbic acid, uric acid, serotonin, norepinephrine, epinephrine, and 3,4-dihydroxy-l-phenylalanine (L-DOPA). The system provided continuous, real time monitoring of electrically stimulated dopamine release in the brain of an anesthetized rat. Levels of dopamine up to 1.69 microM were measured. This new implantable dopamine biosensor provides an alternative to fast scan cyclic voltammetry for in vivo monitoring of dopamine.
CDMA intersystem operations (2002)

CDMA mobile stations using the North American cellular system rely upon the IS-41 network protocol for intersystem handoff and roaming. This paper describes the IS-95 air interface and corresponding IS-41 protocols for intersystem handoff, mobile station location determination, and call delivery. IS-41 CDMA intersystem handoffs can be performed using mobile assisted or nonmobile assisted procedures. Most mobile assisted handoffs use pilot reporting to identify candidate base stations. Most nonmobile assisted handoffs use locate receivers at candidate base stations to estimate the reverse link signal to noise ratio. IS-95 registration procedures can be coupled with IS-41 border cell procedures to reduce registration rates due to ping-ponging between systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Next Generation SONET/SDH: Voice and Data (2004)

THE DEFINITIVE GUIDEBOOK TO NEXT GENERATION SONET/SDH, OPTICAL NETWORKS, AND NEW DATA COMMUNICATIONS PROTOCOL The next generation SONET/SDH answers the demand for a communications network with improved data QoS, higher data rates, exceptional flexibility, efficiency and scalability, superb protection, and a data-friendly standard, by integrating the simplicity and cost-efficiency of the data network with bandwidth capacity and QoS of the synchronous optical network. Designed for communication specialists who need to understand the implications and implementation requirements of the next generation optical network. Next Generation SONET/SDH: Voice and Data offers an accessible yet comprehensive introduction to this latest version of SONET/SDH. In this, his fourth book on optical networking, Dr. Kartalopoulos explains in simple terms the wealth of new protocols designed to optimize this new optical network, increase its efficiency, and decrease its cost. Featuring only essential mathematics and supported by many helpful illustrations, the text: . Explains and references the new SONET/SDH standards. Details the many implications and improvements that the next generation of SONET-over-DWDM will bring. Provides careful explanations of such optical systems as Data-over SONET, Packet-over-SONET, Link Capacity Adjustment Scheme (LCAST), the Generalized Framing Procedure (GFP), Link Access Procedure for SDH (LAPS), Internet and Gigabit Ethernet over SONET, Virtual Concatenation, the Multi-Service Provisioning Platform (MSPP), and the Multi-Service Switching Platform (MSSP). In addition, the book explains other optical networks including the optical transport network (OTN)