gebhart/patrepeval huggingface dataset:
Predictive distance-based mobility management for multidimensional pcs networks (2003)

This paper presents a mobile tracking scheme that exploits the predictability of user mobility patterns in wireless PCS networks. In this scheme, a mobile's future location is predicted by the network, based on the information gathered from the mobile's recent report of location and velocity. When a call is made, the network pages the destination mobile around the predicted location. A mobile makes the same location prediction as the network does; it inspects its own location periodically and reports the new location when the distance between the predicted and the actual locations exceeds a threshold. To more realistically represent the various degrees of velocity correlation in time, a Gauss-Markov mobility model is used. For practical systems where the mobility pattern varies over time, we propose a dynamic Gauss-Markov parameter estimator that provides the mobility parameters to the prediction algorithm. Based on the Gauss-Markov model, we describe an analytical framework to evaluate the cost of mobility management for the proposed scheme. We also present an approximation method that reduces the computational complexity of the cost evaluation for multidimensional systems. We then compare the cost of predictive mobility management against that of the regular, nonpredictive distance-based scheme, for both the case with ideal Gauss-Markov mobility pattern and the case with time-varying mobility pattern.
Reduced action of polypeptide release factors induces mRNA cleavage and tmRNA tagging at stop codons in <i>Escherichia coli</i> (2006)

Certain C-terminal sequences of nascent peptide cause an efficient protein tagging by tmRNA system at stop codons in Escherichia coli. Here, we demonstrate that both mRNA cleavage and tmRNA tagging occur at UAG stop codon recognized specifically by polypeptide release factor 1 (RF-1) when the activity of RF-1 is reduced by a mutation in the prfA gene without requirement of particular C-terminal sequences of nascent peptide. The tmRNA tagging and mRNA cleavage in the prfA mutant were eliminated when the wild-type RF-1 but not RF-2 was supplied from plasmid. In addition, depletion of either RF-1 or RF-2 induces endonucleolytic cleavage and tmRNA tagging at UAG or UGA stop codons respectively. We conclude that ribosome stalling at the cognate stop codon caused by reduced activity or expression of RF-1 or RF-2 is responsible for mRNA cleavage. The present data along with our previous studies strongly suggest that ribosome stalling leads to endonucleolytic cleavage of mRNA in general resulting in non-stop mRNA and that the 3' end of non-stop mRNA is probably only target for the tmRNA system.
An asymmetric Y-branching circuit using total reflection for semiconductor integrated optical circuits (1992)

A new structure for a compact optical branching circuit is proposed. An asymmetric Y-branching circuit using total reflection is fabricated on an AlGaAs/GaAs wafer. Good branching operation is observed in a single-mode branching circuit with a branching angle of 45 degrees . The exact origins of loss in the branching circuit are also clarified.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Recognising human actions by analysing negative spaces (2012)

The authors propose a novel region-based method to recognise human actions. Other region-based approaches work on silhouette of the human body, which is termed as the positive space according to art theory. In contrast, the authors investigate and analyse regions surrounding the human body, termed as the negative space for human action recognition. This concept takes advantage of the naturally formed negative regions that come with simple shape, simplifying the job for action classification. Negative space is less sensitive to segmentation errors, overcoming some limitations of silhouette-based methods such as leaks or holes in the silhouette caused by background segmentation. Inexpensive semantic-level description can be generated from the negative space that supports fast and accurate action recognition. The proposed system has obtained 100% accuracy on the Weizmann human action dataset and the robust sequence dataset. On KTH dataset the system achieved 94.67% accuracy. Furthermore, 95% accuracy can be achieved even when half of the negative space regions are ignored. This makes our work robust with respect to segmentation errors and distinctive from other approaches.
The Relationship of Just Compensation to The Land Use Regulatory Power: An Analysis and Proposal (1975)

The Fifth Amendment to the Constitution of the United States commands "nor shall private property be taken for public use, without just compensation."These dozen words have produced volumes of argument, analysis and opinion, the great bulk of which relate to the "taking" issue.Scholars, lawyers, and judges have been so intrigued by the question of whether any given governmental act, which has an impact on private property, is or is not a "taking", that the consequences of finding a taking have scarcely been examined.
Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification (2006)

We present a method for automated segmentation of the vasculature in retinal images. The method produces segmentations by classifying each image pixel as vessel or nonvessel, based on the pixel's feature vector. Feature vectors are composed of the pixel's intensity and two-dimensional Gabor wavelet transform responses taken at multiple scales. The Gabor wavelet is capable of tuning to specific frequencies, thus allowing noise filtering and vessel enhancement in a single step. We use a Bayesian classifier with class-conditional probability density functions (likelihoods) described as Gaussian mixtures, yielding a fast classification, while being able to model complex decision surfaces. The probability distributions are estimated based on a training set of labeled pixels obtained from manual segmentations. The method's performance is evaluated on publicly available DRIVE (Staal et al., 2004) and STARE (Hoover et al., 2000) databases of manually labeled images. On the DRIVE database, it achieves an area under the receiver operating characteristic curve of 0.9614, being slightly superior than that presented by state-of-the-art approaches. We are making our implementation available as open source MATLAB scripts for researchers interested in implementation details, evaluation, or development of methods.
Neuroprotective effects of carvedilol, a new antihypertensive agent, in cultured rat cerebellar neurons and in gerbil global brain ischemia. (1992)

Carvedilol provided neuroprotection in both in vitro and in vivo models of neuroinjury, where oxygen radicals are likely to play an important role. Therefore, carvedilol may reduce the risk of cerebral ischemia and stroke by virtue of both its antihypertensive action and its antioxidative properties.
A Metal−Organic Framework with Entatic Metal Centers Exhibiting High Gas Adsorption Affinity (2006)

A metal-organic framework, PCN-9, containing entatic metal centers, has been synthesized and crystallographically characterized. The H2 and CH4 adsorption enthalpies of PCN-9 are among the highest reported thus far.
The Specific Synthesis of Pyridines and Oligopyridines<sup>1</sup> (1976)

A survey is given of the wide applicability of the specific syntheses of (substituted) pyridines, bi-, ter-, and oligopyridines, including those bearing condensed rings, from acalkylpyridinium salts and α,β-unsaturated ketones on treatment with ammonium acetate/ acetic acid or methanol. The complex chemical behaviour of the bi- and oligopyridines is hereby considered. 1. Syntheses of Monopyridines 1.1. Principles of the Method 1.2. Advantages of the Method 1.3. Use of 1,3-Diketones and Analogous Compounds instead of Pyridinium Salts 2. Nomenclature of Oligopyridines 3. Syntheses of Bipyridines 4. Syntheses of Terpyridines 5. Syntheses of Quaterpyridines 6. Syntheses of Quinquepyridines 7. Syntheses of Septipyridines 8. Alternative Methods for the Preparation of Oligopyridines 9. Syntheses of Pyridines bearing Condensed Rings 10. Oligopyridines as Reagents for Fe2+ and Cu1+ Ions 11. Conclusions
A Novel Method to Recognize Complex Dynamic Gesture by Combining HMM and FNN Models (2007)

Recognition of dynamic gesture is an important task for gesture-based human-computer interaction. A novel HMM-FNN model is proposed in this paper for the modeling and recognition of complex dynamic gesture. It combines temporal modeling capability of hidden Markov model, and ability of fuzzy neural network for fuzzy rule modeling and fuzzy inference. Complex dynamic gesture has two important properties: its motion can be decomposed and usually being defined in a fuzzy way. By HMM-FNN model, dynamic gesture is firstly decomposed into three independent parts: posture changing, 2D motion trajectory and movement in Z-axis direction, and each of part is modeled by a group of HMM models which represent all fuzzy classes it possibly belongs to. The likelihood probability of HMM model to observation sequence is considered as fuzzy membership for FNN model. In our method, high dimensional gesture feature is transformed into several low dimensional features, which leads to the reduction of model complexity. By means of fuzzy inference, it achieves a higher recognition rate than conventional HMM model. Besides, human's experience can be taken advantaged to build and optimize model structure. Experiments show that the proposed approach is an effective method for the modeling and recognition of complex dynamic gesture
Proton Arc Therapy Optimization (2019)

Cancer is ranked among the leading causes of death in the world. During the last decades, the development of advanced cancer treatment software has had an increasingly important role in its treatment. To treat cancer, there are many different therapies, one of which is radiation therapy. In radiation therapy, a central component of the treatment planning software is mathematical optimization of the radiation dose. This thesis concerns proton radiation therapy and aims to propose novel methods for generating advanced treatments using a new technique for delivering the radiation. In conventional proton therapy, the patient is irradiated from a few selected directions, typically two or three. To each irradiating direction corresponds a proton beam whose energy is modulated to control the depth at which the protons deposit their energy. This thesis concerns methods for an alternative technique, called proton arc therapy, where the central idea is to irradiate the patient from significantly more directions, but with fewer energies from each direction. This has the possibility of improving both the outcome and the efficiency of the treatment. The number of energies needs to be constrained due to the fact that they are the major determinant of the treatment delivery time, which is important as it is desired to irradiate the patient for as short time as possible. Thus, the central problem to be solved in proton arc therapy is which energies to use for irradiation at each possible angle. The work in this thesis aims at improving the state of the art by implementing methods for optimally solving this problem. When modeling the treatment as an optimization problem, the objective function is a quantitative evaluation criterion for the delivered dose distribution. In this work, the conventional optimization problem used for proton therapy is extended to proton arc therapy by including a constraint on the number of energies used over the arc. This problem is solved by using different algorithms and heuristics. The methods are evaluated on three different pancreatic tumor cases according to these evaluation criteria: objective function value, treatment delivery time and biological effect of the delivered dose. The developed methods are all able to produce proton arc treatments outperforming conventional treatments with respect to all the evaluation criteria. It is concluded that the proton arc therapy has the potential to outperform conventional proton therapy in all regards. The suggested method to perform the energy selection is a hybrid approach of greedy and reverse greedy algorithms. Future work should focus on the possibility of taking the biological effect into account in the optimization, as well as incorporating machine-specific constraints in the optimization model.
STABILIZATION OF A MIXED WASTE SLUDGE SURROGATE CONTAINING MORE THAN 260 PPM MERCURY (1) (2015)

In an earlier demonstration of an innovative mercury stabilization technology for the Department of Energy, ATG&apos;s full-scale process stabilized mercury in soils that initially contained more than 260 ppm of mercury of unknown speciation. The treated waste satisfied the leaching standards for mercury that qualify wastes containing less than 260 ppm for land disposal. This paper describes the extension of that work to demonstrate a full-scale process for the stabilization of a representative sludge that contained more than 260 ppm of Hg of several mercury species. RCRA (Resource Conservation and Recovery Act) regulations now require the recovery of mercury from any waste containing more than 260 ppm of mercury, usually with thermal retorts. The results of this work with a surrogate sludge, and of the previous work with an actual soil, support a proposal now before the U.S. EPA (Environmental Protection Agency) to allow such wastes to be stabilized without retorting. The full-scale demonstration with a sulfide reagent reduced the mercury concentrations in extracts of treated sludge below the relevant leaching standard, a Universal Treatment Standard (UTS) limit of 0.025 mg mercury per liter of leachate generated by the Toxicity Characteristic Leaching Procedure (TCLP). The sulfide formulation reduced the concentration to about one-half the UTS limit.
Highly efficient single mode laser in Yb-doped double clad fiber with novel cavity design (2002)

In summary, Yb-doped clad-pumped fiber laser with a novel cavity was experimentally demonstrated where two concatenated tapers and the fiber Bragg grating with a sharp bandwidth of 0.2 nm made a highly efficient fiber laser. The efficiently packaged cavity showed a low insertion loss of 2.4 dB.
Optimization of Coverage Pattern for Regional Communications Satellite (1982)

An optimization problem of an antenna coverage pattern for a regional communications satellite when an antenna-pointing error exists is discussed. A new performance measure is introduced to evaluate the coverage pattern. This measure is defined as the statistical mean of the ratio between two areas, the full service area and the part of it covered by the antenna. The optimum coverage pattern which maximizes this measure under certain constraint is obtained. The results of numerical calculations are included to demonstrate the technique.
A hybrid approach model for weather forecasting using multi-task agent (2015)

Weather Forecasting is defined and used in the field of knowledge and data engineering simultaneously in order to predict the weather for a specific location. There is large number of various numerical models and algorithm have been developed and enforced to predict the weather forecasting. However some models and algorithms usually do not provide accurate predictions Even though artificial neural networks like unsupervised learning and supervised learning have been considerably applied for predicating the weather forecasting. When considering the multiple neural networks, the redundancy reduction is achieved. In this paper we propose a new hybrid model for weather forecasting, which is based on combination of supervised and unsupervised learning. We address the redundancy issue here and it is overcome by combining these two learning technique with the help of an agent. We also, introduce the accurate prediction of the weather forecasting in this hybrid model. The results presented at the end of paper shows an accurate predication out performance of the proposed method compared to the similar methods in the literature.
Fat burners: nutrition supplements that increase fat metabolism (2011)

The term 'fat burner' is used to describe nutrition supplements that are claimed to acutely increase fat metabolism or energy expenditure, impair fat absorption, increase weight loss, increase fat oxidation during exercise, or somehow cause long-term adaptations that promote fat metabolism. Often, these supplements contain a number of ingredients, each with its own proposed mechanism of action and it is often claimed that the combination of these substances will have additive effects. The list of supplements that are claimed to increase or improve fat metabolism is long; the most popular supplements include caffeine, carnitine, green tea, conjugated linoleic acid, forskolin, chromium, kelp and fucoxanthin. In this review the evidence for some of these supplements is briefly summarized. Based on the available literature, caffeine and green tea have data to back up its fat metabolism-enhancing properties. For many other supplements, although some show some promise, evidence is lacking. The list of supplements is industry-driven and is likely to grow at a rate that is not matched by a similar increase in scientific underpinning.
Nephrectomy Followed by Interferon Alfa-2b Compared with Interferon Alfa-2b Alone for Metastatic Renal-Cell Cancer (2001)

Nephrectomy followed by interferon therapy results in longer survival among patients with metastatic renal-cell cancer than does interferon therapy alone.
Linearity and efficiency optimisation in microwave power amplifier design (2007)

In this contribution the minimisation of asymmetry between lower and upper side band intermodulation products will be discussed, starting from a Volterra analysis approach. Base-band and harmonic device terminations effects will be analysed, identifying novel conditions minimising IMD asymmetry and IM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> power levels. Such conditions, not relying on base-band terminations, are the basis for IM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> products minimisation via second harmonic load selection. The proposed criterion is then verified by harmonic load-pull measurements on a GaN HEMT under two-tone excitation. Measurements agree with the analysis, demonstrating a null IMD asymmetry and 6 dBc increase in C/I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> , without affecting output power (34 dBm @ 1 dB compression) and power added efficiency performance (65% @ 1 dB compression).
Application of Intensity-Modulated Ink Jets to Alphanumeric Printing Devices (1972)

Experimental models for a line printer and a terminal printer have been constructed, making use of intensity-modulated ink jets for the recording of characters on untreated paper at a speed of 24 lines/s and 50 characters/s, respectively. The characters are printed on the matrix principle, using matrices of 10X16 and 5X7 formed by one oscillating ink jet. The nozzles producing the jets are oscillated by means of an electromagnet or a piezoelectric crystal. The terminal printer can be used as a normal typewriter as well as for automatic printout from a computer. As the printers contain few moving mechanical parts, their noise level is very low.
Deflazacort but not prednisone improves both muscle repair and fiber growth in diaphragm and limb muscle in vivo in the mdx dystrophic mouse (1996)

The effects of the glucocorticoids deflazacort and prednisone on mdx mouse dystrophy and muscle regeneration were evaluated in a 4.5-week double-blind study to test whether they would decrease dystrophy by anti-inflammatory effects [in intact diaphragm and left tibialis anterior (TA) muscle] and increase new muscle formation (after crush injury). In the left TA, fiber diameter was greater after deflazacort and prednisone compared to placebo. However, only deflazacort increased the centronucleation index of accumulated damage and repair, and myotube growth over the long term. In crush-injured TA, the fusion of proliferative muscle precursors to myotubes (by autoradiography) was increased only after deflazacort. Diaphragm muscle was much less inflamed, and fiber diameter was greater after deflazacort. Results suggest that glucocorticoids decreased the severe phenotype of dystrophy in the mdx diaphragm. Moreover, deflazacort uniquely promoted myogenic repair over short and longer terms, in addition to stimulating fiber growth. These first clues to the targets of deflazacort action on muscle repair have important positive implications for treating Duchenne dystrophy.
Whose move is it anyway? Authenticating smart wearable devices using unique head movement patterns (2016)

In this paper, we present the design, implementation and evaluation of a user authentication system, Headbanger, for smart head-worn devices, through monitoring the user's unique head-movement patterns in response to an external audio stimulus. Compared to today's solutions, which primarily rely on indirect authentication mechanisms via the user's smartphone, thus cumbersome and susceptible to adversary intrusions, the proposed head-movement based authentication provides an accurate, robust, light-weight and convenient solution. Through extensive experimental evaluation with 95 participants, we show that our mechanism can accurately authenticate users with an average true acceptance rate of 95.57% while keeping the average false acceptance rate of 4.43%. We also show that even simple head-movement patterns are robust against imitation attacks. Finally, we demonstrate our authentication algorithm is rather light-weight: the overall processing latency on Google Glass is around 1.9 seconds.
Azides Part I ‐ Reactive Dyes Containing the Azido Group for Synthetic‐polymer Fibres* (1979)

Dyes containing sulphonylazido, carbonylazido, arylazido and azidoacetamido groups have been synthesized. These dyes react chemically with synthetic‐polymer fibres, such as polyester, nylon and cellulose acetate. Their dyeing and fastness properties are discussed.
Systemic Fusarium oxysporum infection in an immunocompetent patient with an adult respiratory distress syndrome (ARDS) and extracorporal membrane oxygenation (ECMO) (1998)

Summary. We report a case of disseminated fusariosis in a 42‐year‐old patient with adult respiratory distress syndrome (ARDS) and extracorporal membrane oxygenation (ECMO), but without definite immunosuppression. Fysarium oxysporum was isolated from a bronchial lavage taken 6 days ante mortem. Despite antifungal treatment with amphotericin B and flucytosine the patient died in septic multiorgan failure. A post‐mortem examination was performed. The patient's liver was found to contain fungus cells and F. oxysporum could be cultured from ascites. Zusammenfassung Wir berichten über eine disseminierte Fusariose bei einem 42‐jährigen Patienten mit ARDS und extrakorporaler Membranoxygenierung (ECMO), jedoch ohne definierte Immunsuppression. Fusarium oxysporum wurde 6 Tage ante mortem aus einer bronchoalveolären Lavage isoliert. Trotz antimykotischer Therapie mit Amphotericin B und Flucytosin verstarb der Patient an einem septischen Multiorganversagen. Nach der Obduktion wurden histologisch Pilzstrukturen in der Leber nachgewiesen, und aus Aszites konnte erneut F. oxysporum kultiviert werden.