Relevant bibliographies by topics / Source profiling

Academic literature on the topic 'Source profiling'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Source profiling"

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BRAUNER, W., H. DURSCHNER, B. KOOPMANN, R. MARSCHALL, and K. PETERS. "MOVING SOURCE PROFILING (MSP)1." Geophysical Prospecting 36, no. 1 (January 1988): 6–21. http://dx.doi.org/10.1111/j.1365-2478.1988.tb02148.x.

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Hill, Tracey, M. G. Burton, M. R. Cunningham, and V. Minier. "Profiling young massive stars." Proceedings of the International Astronomical Union 3, S242 (March 2007): 120–24. http://dx.doi.org/10.1017/s1743921307012665.

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AbstractWe present the results of spectral energy distribution analysis for 162 of the 405 sources reported in the SIMBA survey of Hill et al. (2005). The fits reveal source specific parameters including: the luminosity, mass, temperature, H2 number density, the surface density and the luminosity-to-mass ratio. Each of these parameters are examined with respect to the four classes of source present in the sample. Obvious luminosity and temperature distinctions exist between the mm-only cores and those cores with methanol maser and/or radio continuum emission, with the former cooler and less luminous than the latter. The evidence suggests that the mm-only cores are a precursor to the methanol maser in the formation of massive stars. The mm-only cores comprise two distinct populations distinguished by temperature. Analysis and conclusions about the nature of the cool-mm and warm-mm cores comprising the mm-only population are drawn.
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Zimmerman, Linda J., and Sen T. Chen. "Comparison of vertical seismic profiling techniques." GEOPHYSICS 58, no. 1 (January 1993): 134–40. http://dx.doi.org/10.1190/1.1443343.

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To study the imaging characteristics of various vertical seismic profiling techniques, two vertical seismic profiles (VSP) and a reversed vertical seismic profile (RVSP), where source and receiver positions are interchanged, were collected in the Loudon Oil Field in Illinois. Both VSPs were collected using a line of dynamite charges on the surface as sources. One was collected with geophones and the other with hydrophones as downhole receivers. The RVSP was collected by detonating 25 gram explosive charges in a well and detecting the seismic response with geophones at the surface. Three subsurface images (VSP with geophones, VSP with hydrophones, and RVSP) were produced using VSP-CDP transforms. For comparison, a surface seismic profile was collected along the same line with dynamite sources and vertical geophone receivers. The RVSP and hydrophone VSP stacked sections both produced higher frequency images at shallower depths than did the geophone VSP stacked section. However, the lower frequency geophone VSP stacked section produced an interpretable subsurface image at much greater depths than either the RVSP or the hydrophone VSP sections. The differences are due in part to the more powerful surface sources that were used for the VSPs than the downhole sources used for the RVSP. Furthermore, tube‐wave noise was a more severe problem for both the RVSP and the hydrophone VSP than for the geophone VSP. The results of this experiment demonstrate that if tube‐wave noise could be suppressed, hydrophone VSPs would provide attractive alternatives to geophone VSPs, because it is much easier and cheaper to deploy multilevel hydrophones downhole than geophones. Also, if a high‐powered, nondestructive source is developed, RVSP could be a practical alternative to VSP since one can easily lay out numerous receivers on the surface to record multioffset or three‐dimensional (3-D) VSP data.
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List, Alexandra, Emily M. Grossnickle, and Patricia A. Alexander. "Profiling Students’ Multiple Source Use by Question Type." Reading Psychology 37, no. 5 (December 9, 2015): 753–97. http://dx.doi.org/10.1080/02702711.2015.1111962.

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Krause-Polstorff, J., and Donald Walters. "Refractive turbulence profiling using an orbiting light source." Applied Optics 29, no. 13 (May 1, 1990): 1877. http://dx.doi.org/10.1364/ao.29.001877.

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David, Donna E., Aaron M. Lynne, Jing Han, and Steven L. Foley. "Evaluation of Virulence Factor Profiling in the Characterization of Veterinary Escherichia coli Isolates." Applied and Environmental Microbiology 76, no. 22 (October 1, 2010): 7509–13. http://dx.doi.org/10.1128/aem.00726-10.

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ABSTRACT Escherichia coli has been used as an indicator organism for fecal contamination of water and other environments and is often a commensal organism in healthy animals, yet a number of strains can cause disease in young or immunocompromised animals. In this study, 281 E. coli isolates from bovine, porcine, chicken, canine, equine, feline, and other veterinary sources were analyzed by BOXA1R PCR and by virulence factor profiling of 35 factors to determine whether they had utility in identifying the animal source of the isolates. The results of BOXA1R PCR analysis demonstrated a high degree of diversity; less than half of the isolates fell into one of 27 clusters with at least three isolates (based on 90% similarity). Nearly 60% of these clusters contained isolates from more than one animal source. Conversely, the results of virulence factor profiling demonstrated clustering by animal source. Three clusters, named Bovine, Chicken, and Porcine, based on discriminant components analysis, were represented by 90% or more of the respective isolates. A fourth group, termed Companion, was the most diverse, containing at least 84% of isolates from canine, feline, equine, and other animal sources. Based on these results, it appears that virulence factor profiling may have utility, helping identify the likely animal host species sources of certain E. coli isolates.
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Suprajitno, M., and S. A. Greenhalgh. "Theoretical vertical seismic profiling seismograms." GEOPHYSICS 51, no. 6 (June 1986): 1252–65. http://dx.doi.org/10.1190/1.1442178.

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Offset vertical seismic profiling (VSP) theoretical seismograms which include multiples and mode conversions can be computed using a modified “reflectivity” method. In this method, the transformed displacement potentials are first calculated by multiplying the source spectrum by the composite reflectivity function. Integration over wavenumber, followed by inverse Fourier transformation over the frequency range of the signal, yields the synthetic trace. The composite reflectivity function for a buried receiver is derived from Kennett’s matrices (Kennett, 1974, 1979) which are synthesized to form phase‐related reflection and transmission coefficients from a layer stack. Both conventional fixed source‐moving receiver and fixed receiver‐walkaway source (multioffset) VSP geometries can be handled easily. The method can also readily accommodate deviated‐hole VSP. The method is general in that no ray needs to be specified. Because the order of the multiples can be controlled, wraparound problems with the discrete Fourier transform can be avoided. The normal‐incidence VSP seismograms can be rapidly generated as a special case. Several examples illustrate the method. Some classes of laterally varying structures can be approximately handled by restricting the range of ray‐angle integration and by using the principle of superposition.
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Baglari, Dipjyoti, Arindam Dey, and Jumrik Taipodia. "Subsurface Profiling Using Roadside MASW Survey: Influence of Multiple Sources and Offline Distance." Journal of Environmental and Engineering Geophysics 27, no. 2 (June 2022): 73–88. http://dx.doi.org/10.32389/21-010.

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Roadside MASW survey utilizes traffic-generated surface wave signals for subsurface characterization and, thus, can be a useful geophysical method, especially in urban areas. However, such signals originating from vehicular movements over road surface irregularities, or sources, produce complex field records of multi-source and multi-azimuthal characteristics. Such sources are termed intra-line if they exist within the receiver spread and outer-line when they exist outside the receiver spread. In a roadside survey, the receiver spread is placed outside and parallel to the centreline of the road, thereby creating an offline distance with respect to the sources on the road. In this study, experimental investigations are conducted to determine the influence of the presence of intra-line or outer-line sources and offline distances of source positioning on the dispersion imaging of roadside MASW records. Artificial hurdles were placed deliberately at different positions on an adjacent road to determine the influence of intra-line and outer-line sources. Furthermore, receiver arrays were placed at varying offline distances with respect to the centreline of the adjacent road to assess the effect of offline distance on the dispersion imaging and subsequent shear wave velocity profile. The study finds that the dispersion images obtained from the intra-line source have better resolutions compared to those obtained from the outer-line source. Further, the presence of multiple sources during the data acquisition does not necessarily shed any detrimental influence on dispersion imaging as long as there is no contamination and mutual interferences of the raw wavefield records. As the offline distance increases, the intensity of the traffic-generated source signal diminishes. It is observed typically for the studied site that beyond an offline distance of 15 m, there remains no recognizable energy to obtain a distinct dispersion image. A comparative study of the shear wave velocity profiles obtained from a borehole, roadside, active, and passive remote MASW surveys revealed an agreeable match, thereby indicating the usability of the roadside MASW survey, especially when offline distance is not enormously large.
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Li, Xiaoyang, Wenbiao Zhou, and Dake Liu. "Application Source Codes Profiling for ASIP Memory Subsystem Design." Procedia Engineering 29 (2012): 3160–64. http://dx.doi.org/10.1016/j.proeng.2012.01.458.

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Koch, Stefan. "Profiling an Open Source Project Ecology and Its Programmers." Electronic Markets 14, no. 2 (June 1, 2004): 77–88. http://dx.doi.org/10.1080/10196780410001675031.

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Dissertations / Theses on the topic "Source profiling"

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Jacobs, David G. (David Gregory). "Practical example of base source optimization : footwear profiling at Nike, Inc." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99003.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
Title as it appears in MIT Commencement Exercises program, June 5, 2015: Source base optimization : footwear profiling at Nike, Inc. Cataloged from PDF version of thesis.
Includes bibliographical references (page 31).
The long term sourcing for footwear development, or "profiling," at Nike, Inc. has grown with the company and become significantly complex. It is no longer possible for a single person, no matter the level of experience, to optimize the company's profiling plan without computational assistance. Optimization methods, specifically mixed-integer linear programing, present an opportunity to save between 6.7 and 9.7% of combined labor and duty costs to the company. The model proposed by this research is responsible for justifying that potential but is merely a starting point for Nike, Inc. Further application and research into the company's manufacturing processes including transportation costs, technology groupings, and the Manufacturing Index (MI) could wield results that far surpass the levels obtained by this research. Implementation of an algorithmic approach is challenging for an organization that values "storytelling," collaboration, and narrative. However, in time I believe that this model, or something similar, will find a place, and deliver results, for Nike, Inc.
by David G. Jacobs.
M.B.A.
S.M.
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Qin, An. "Design and Implementation of a Source Code Profiling Toolset for Embedded System Analysis." Thesis, Linköpings universitet, Datorteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-63525.

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The market needs for embedded or mobile devices were exploding in the last few years. Customers demand for devices that not only have high capacity of managing various complex jobs, but also can do it fast. Manufacturers therefore, are looking for a new field of processors that fits the special needs of embedded market, for example low power consumption, highly integrated with most components, but also provides the ability to handle different use cases. The traditional ASICs satisfied the market with great performance-per-watt but limited scalability. ASIP processors on the other hand, impact the new market with the ability of high-speed optimized general computing while energy efficiency is only slightly lower than ASICs. One essential problem in ASIP design is how to find the algorithms that can be accelerated. Hardware engineers used to optimize the instruction set manually. But with the toolset introduced in this thesis, design automation can be made by program profiling and the development cycle can be trimmed therefore reducing the cost. Profiling is the process of exposing critical parts of a certain program via static code analysis or dynamic performance analysis. This thesis introduced a code profiler that targeted at discovering repetition section of a program through static and dynamic analysis. The profiler also measures the payload of each loop and provides profiling report with a user friendly GUI client.
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Resk, Nicole. "Human dander as a potential allergen source in atopic dogs allergen characterization and IgE-profiling." Giessen VVB Laufersweiler, 2006. http://geb.uni-giessen.de/geb/volltexte/2006/2977/index.html.

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Schlaffner, Christoph Norbert. "Proteogenomics for personalised molecular profiling." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275137.

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Technological advancements in mass spectrometry allowing quantification of almost complete proteomes make proteomics a key platform for generating unique functional molecular data. Furthermore, the integrative analysis of genomic and proteomic data, termed proteogenomics, has emerged as a new field revealing insights into gene expression regulation, cell signalling, and disease processes. However, the lack of software tools for high-throughput integration and unbiased modification and variant detection hinder efforts for large-scale proteogenomics studies. The main objectives of this work are to address these issues by developing and applying new software tools and data analysis methods. Firstly, I address mapping of peptide sequences to reference genomes. I introduce a novel tool for high-throughput mapping and highlight its unique features facilitating quantitative and post-translational modification mapping alongside accounting for amino acid substitutions. The performance is benchmarked. Furthermore, I offer an additional tool that permits generation of web accessible hubs of genome wide mappings. To enable unbiased identification of post-translational modifications and amino acid substitutions for high resolution mass spectrometry data, I present algorithmic updates the mass tolerant blind spectrum comparison tool ’MS SMiV’. I demonstrate the applicability of the changes by benchmarking against a published mass tolerant database search of a high resolution tandem mass spectrometry dataset. I then present the application of ‘MS SMiV’ on a panel of 50 colorectal cancer cell lines. I show that the adaption of ‘MS SMiV’ outperforms traditional sequence database based identification of single amino acid variants. Furthermore, I highlight the utility of mass tolerant spectrum matching in combination with isobaric labelled quantitative proteomics in distinguishing between post-translational modifications and amino acid variants of similar mass. In the last part of this work I integrate both tools with a high-throughput proteogenomic identification pipeline and apply it to a pilot study of chondrocytes derived from 12 osteoarthritic individuals. I show the value of this approach in identifying variation between individuals and molecular levels and highlight them with individual examples. I show that multi-plexed proteogenomics can be used to infer genotypes of individuals.
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Yap, Yee-leng Daniel. "Expression profiling of Bacillus subtilis sulfur responsive genes using S-methyl-cysteine (SMeC) as sole sulfur source." Thesis, Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36602425.

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Allen, Katie. "Protein Profiling of Wild-type Neurospora crassa Grown on Various Carbon Sources." Youngstown State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1299521068.

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Resk, Nicole [Verfasser]. "Human dander as a potential allergen source in atopic dogs : allergen characterization and IgE-profiling / eingereicht von Nicole Resk." Wettenberg : VVB Laufersweiler, 2006. http://d-nb.info/981573347/34.

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Morgan, Brittany. "Development of Micro Volume DNA and RNA Profiling Assays to Identify the Donor and Tissue Source of Origin of Trace Forensic Biological Evidence." Master's thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6326.

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In forensic casework analysis it is necessary to obtain genetic profiles from increasingly smaller amounts of biological material left behind by perpetrators of crime. The ability to obtain profiles from trace biological evidence is demonstrated with so-called 'touch DNA evidence' which is perceived to be the result of DNA obtained from shed skin cells transferred from donor to an object or person during physical contact. However, the current method of recovery of trace DNA involves cotton swabs or adhesive tape to sample an area of interest. This "blind-swabbing" approach may result in the recovery of biological material from different individuals resulting in admixed DNA profiles which are often difficult to interpret. Profiles recovered from these samples are reported to be from shed skin cells with no biological basis for that determination. A specialized approach for the isolation of single or few cells from 'touch DNA evidence' is necessary to improve the analysis and interpretation of recovered profiles. Here we describe the development of optimized and robust micro volume PCR reactions (1-5 uL) to improve the sensitivity and efficiency of 'touch DNA' analysis. These methods will permit not only the recovery of the genetic profile of the donor of the biological material, but permit an identification of the tissue source of origin using mRNA profiling. Results showed that the 3.5 uL amplification volume, a fraction of the standard 25 uL amplification volume, was the most ideal volume for the DNA assay, as it had very minimal evaporation with a 50% profile recovery rate at a single cell equivalent input (~5 pg) with reducing amplification volume alone. Findings for RNA showed that by reducing both amplification steps, reverse transcriptase PCR (20 uL) and body fluid multiplex PCR (25 uL), to 5 uL, ideal results were obtained with an increase in sensitivity and detection of six different body fluids down to 50 pg. Once optimized at the trace level, the assays were applied to the collection of single and few cells. DNA findings showed that about 40% of a full profile could be recovered from a single buccal cell, with nearly 80% of a full profile recovered from only two cells. RNA findings from collected skin particles of "touched" surfaces showed accurate skin detection down to 25 particles and detection in one clump of particles. The profiles recovered were of high quality and similar results were able to be replicated through subsequent experiments. More studies are currently underway to optimize these developed assays to increase profile recovery at the single cell level. Methods of doing so include comparing different locations on touched surfaces for highest bio-particle recovery and the development of physical characteristics of bio-particles that would provide the most ideal results.
M.S.
Masters
Chemistry
Sciences
Forensic Science; Forensic Biochemistry Track
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Vettorato, Alfredo. "Profili giuridici delle licenze Open Source." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3172/.

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Jaber, Mohamad. "Internet traffic profiling identification." Nice, 2011. http://www.theses.fr/2011NICE4085.

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L’évolution de l’Internet dans les dernières années a été caractérisée par des changement dramatiques dans la manière dont les utilisateurs se comportent, interagissent et utilisent le réseau. Ceci a été particulièrement accompagné par l’introduction de nouvelles classes d’applications telles que les jeux en ligne et les réseaux pair-à-pair. L’un des défis les plus importants pour les administrateurs réseau et les ISPs est alors devenu l’identification du trafic Internet afin de pouvoir protéger leurs ressources contre le trafic indésirable et de prioriser certaines applications majeures. Les méthodes statistiques sont préférées à celles basées sur le numéro de port et l’inspection approfondie des paquets, car elles sont robustes au changement malveillant du numéro de port et fonctionnent avec le trafic crypté. Ces méthodes combinent l’analyse des paramètres statistiques des flux de paquets, tels que la taille des paquets et le temps les séparant, avec des techniques issues de la théorie d’apprentissage (machine learning). La majorité des méthodes statistiques ne peuvent pas identifier les flux applicatifs en temps réel et elles ont besoin d’atteindre la fin des flux avant de prendre une décision sur leur nature. Ceci est considéré comme trop long pour la plupart des administrateurs réseau, puisqu’il ne permet pas de bloquer un flux Internet indésirable à son début ni de lui donner en amont une qualité particulière de service. Un autre défi important pour les administrateurs réseau est de détecter et diagnostiquer tout changement dans le réseau comme une congestion à long terme, un changement dans le routage, une défaillance d’une liaison ou tout autre événement entraînant un changement dans les délais réseau. Dans la littérature, il y a un grand nombre de méthodes pour détecter des anomalies dans le réseau, mais la plupart de ces méthodes ont besoin de générer un volume considérable de trafic destiné) la métrologie du réseau. La réduction de la charge des mesures est un besoin vital pour les administrateurs réseaux. Dans cette thèse, nous décrivons les travaux que nous avons menés sur l’identification du trafic Internet et sur la détection des anomalies dans les réseaux. Dans la première partie, nous présentons nos trois méthodes que nous avons développées au cours de cette thèse, et qui permettent d’identifier avec précision et à la volée le trafic Internet. La première méthode, par sa nature itérative et probabiliste, identifie les applications rapidement et avec une grande précision en utilisant uniquement la taille des N premiers paquets. La deuxième méthode enrichit la première avec les temps entre paquets, pour cela nous avons eu besoin d’introduire un modèle pour filtrer le bruit dû aux conditions du réseau et d’extraire des mesures le temps d’attente due aux applications. Notre troisième méthode pour la classification du trafic en ligne combine les approches statistiques à des informations sur le comportement des machines hôtes afin de rendre l’identification du trafic Internet encore plus précis tout en profilant les activités réseaux des hôtes. Pour notre troisième méthode, nous utilisons la taille des paquets comme paramètre principal et nous exploitons les informations sur l’interaction des machines pour mieux affecter un flux à une application. Dans la deuxième partie de cette thèse, nous abordons le problème de détection des anomalies dans les réseaux. Nous commençons par une étude sur la stabilité des systèmes de coordonnées Internet (particulier Vivaldi). Dans une première étape, nous confirmons le fait que les coordonnées de Vivaldi oscillent au fil du temps en raison de la nature adaptative du système. Toutefois, les variations de ces coordonnées sont dans la plupart des temps en corrélation les unes avec les autres, pointant par conséquent vers un cluster de nœuds stables vu de l’intérieur du réseau. Dans un deuxième temps, nous présentons un nouvel algorithme de cloustering basé sur des méthodes de groupement hiérarchique afin d’identifier ce cluster de nœuds stables. Enfin, nous soulignons l’utilité d’une telle constatation avec une application qui permet de détecter les changements dans le réseau. En changeant artificiellement les délais du réseau dans différents scénarios, nous montrons que ces changements sont reflétés par ce corps de nœuds stables, permettant ainsi d’obtenir une image globale de la stabilité du réseau sans avoir besoin de mesures exhaustives des délais
The evolution of the Internet in the last few year has been characterized by dramatic changes in the way users behave, interact and utilize the network. This was accompanied by the introduction of new categories of applications such as network games and peer-to-peer services. One of the most important challenges for network administrators and ISPs is then becoming the identification of Internet traffic applications in order to protect their resources from unwanted traffic and to prioritize some major applications. Statistical methods are preferred to port-based ones and deep packet inspection since they donât rely on the port number and they also work for encrypted traffic. Theses methods combine the statistical analysis of the application packet flow parameters, such as packet size and inter-packet time, with machine learning techniques. However, the majority of these statistical methods cannot identify flows early and require reaching the end of flows before taking any decision which is considered as too late for network administrators ; indeed they do not provide means to stop an Internet flow or to give it a special quality of service early in its lifetime. Another important challenge for network administrators is to detect and diagnose key network changes as a long-term congestion, a rerouting, a link failure or any other even causing a shift in network delays. In the literature there is a huge amount of anomaly detection methods but most of them require exhaustive measurements to function properly. Reducing the load of network-wide monitoring is always a vital need for network administrators. In this thesis we present several contributions around Internet traffic identification and network-wide anomaly detection. In the first part we present three methods we have developed in order to identify accurately and on the fly the Internet traffic. The first method is a new online iterative probabilistic method that identifies applications quickly and accurately by only using the size of the first N packets. The second method enhances the first one with the inter-packet time in order to identify Internet traffic, this has required the introduction of a model to isolate the noise due to network conditions and to extract the time generated by the applications themselves. Our third method is a new online method for traffic classification that combines the statistical and host-based approaches in order to construct a robust and precise method for early Internet traffic identification. We use the packet size as the main feature for the classification and we benefit from the traffic profile of the host (i. E. Which application and how much) to decide in favour of this or that application. In the second part of this thesis, we aboard the problem of network-wide anomaly detection. We start by making a study about the stability of Internet coordinate systems (especially Vivaldi). In a first stage we confirm the fact that Vivaldi coordinates are most of the time correlated with each other pointing to a stable cluster of nodes seen from inside the network. In a second stage, we present a new clustering algorithm based on the data mining Hierarchical Grouping method to identify this cluster of stable nodes. Finally, we highlight the utility of such finding with and application that tracks changes in network delays. By changing artificially the network delays in different scenarios, we show that these changes are easily reflected by this body of stable nodes, hence allowing to obtain a global picture about the stability of the underlying network without the need for exhaustive delay measurements
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Books on the topic "Source profiling"

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Finnes, Piland Neill, and Lynam Kerstin B, eds. Physician profiling: A source book for health care administrators. San Francisco: Jossey-Bass, 1999.

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LeChevallier, Mark W. Profiling water quality parameters: From source water to the household tap. Denver, CO: Awwa Research Foundation, 2004.

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Miller, John J. Non-zero offset vertical seismic profile data recorded using a downhole marine airgun source and vertical- and horizontal-component surface geophones: Edward J. Kubat Government #1 well, San Juan County, Utah. [Denver, Colo.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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1935-, Barrett Peter, ed. The complete illustrated encyclopedia of birds of the world: The ultimate reference source and identifier for 1600 birds, profiling habitat, plummage, nesting and food. Leicestershire [England]: Lorenz Books, 2012.

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1966-, Scherer Andreas, ed. Batch effects and noise in microarray experiments, sources, and solutions. Chichester, West Sussex: J. Wiley, 2009.

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Profili civilistici del mercato dei certificati verdi. [Perugia]: Istituto per gli studi economici e giuridici Gioacchino Scaduto, 2011.

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Brunello, Mantelli, and Villari Giovanni, eds. I ribelli della Benedicta: Profili, percorsi, biografie dei caduti e dei deportati. Bologna: Archetipolibri, 2011.

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Donati, Mario Putaturo. Profili di storia dell'ordinamento amministrativo della città di Cosenza e delle istituzioni pubbliche dal 12. al 19. secolo: Le carte degli archivi gentilizi dei Barracco e dei Donati. Soveria Mannelli (Catanzaro): Rubbettino, 2000.

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Italy), Palazzo Mocenigo (Venice, ed. I meriti delle donne: Profili di arte e storia al femminile dai documenti dell'Archivio di Stato di Venezia (secoli XV-XVIII). Trieste: EUT Edizioni Università di T̀rieste, 2014.

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GROUP, GALE. Prospector's Choice Mac Cd: The Electronic Source Profiling 8,000 Corporate Foundation Grantmakers. Gale Cengage, 1996.

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Book chapters on the topic "Source profiling"

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Qawasmeh, Ahmad, Abid Malik, Barbara Chapman, Kevin Huck, and Allen Malony. "Open Source Task Profiling by Extending the OpenMP Runtime API." In OpenMP in the Era of Low Power Devices and Accelerators, 186–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40698-0_14.

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Mak, Jonathan, Karl-Filip Faxén, Sverker Janson, and Alan Mycroft. "Estimating and Exploiting Potential Parallelism by Source-Level Dependence Profiling." In Euro-Par 2010 - Parallel Processing, 26–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15277-1_4.

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Klein-Júnior, Luiz Carlos, Johan Viaene, Amorn Slosse, and Yvan Vander Heyden. "Liquid Chromatography for Plant Metabolite Profiling in the Field of Drug Discovery." In Natural Products as Source of Molecules with Therapeutic Potential, 73–109. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00545-0_3.

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Zuluaga, Diana, and Diana Guerra. "A typology of creative travellers in Bogota, Colombia: the experience of Bogota." In Creative tourism: activating cultural resources and engaging creative travellers, 15–25. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789243536.0002.

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Abstract The goal of this chapter is to examine and classify the different types of travellers we have encountered throughout the last seven years at 5Bogota. To this end, we have created a tool that can be either a starting point for profiling prospective clients, or a source of information to improve the services offered to existing customers.
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Orlandi, Fabrizio. "Multi-source Provenance-aware User Interest Profiling on the Social Semantic Web." In User Modeling, Adaptation, and Personalization, 378–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31454-4_40.

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Meier, Michael, and Megan J. Wilson. "Using RNA-Seq for Transcriptome Profiling of Botrylloides sp. Regeneration." In Methods in Molecular Biology, 599–615. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2172-1_32.

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AbstractThe decrease in sequencing costs and technology improvements has led to the adoption of RNA-sequencing to profile transcriptomes from further non-traditional regeneration model organisms such as the colonial ascidian Botrylloides leachii. The relatively unbiased way in which transcripts are identified and quantified makes this technique suitable to detect large-scale changes in expression, and the identification of novel transcripts and isoforms. Of particular interest to many researchers is the discovery of differentially expressed transcripts across different treatment conditions or stages of regeneration. This protocol describes a workflow starting from processing raw sequencing reads, mapping reads, assembly of transcripts, and measuring their abundance, creating lists of differentially expressed genes and their biological interpretation using gene ontologies. All programs used in this protocol are open-source software tools and freely available.
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Müller, J., M. Janik, and H. P. Harjes. "The Use of Wave-field Directivity for Velocity Estimation: Moving Source Profiling (MSP) Experiments at KTB." In Seismic Exploration of the Deep Continental Crust, 303–18. Basel: Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-8670-3_16.

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Benskin, Jonathan P., Amila O. De Silva, and Jonathan W. Martin. "Isomer Profiling of Perfluorinated Substances as a Tool for Source Tracking: A Review of Early Findings and Future Applications." In Reviews of Environmental Contamination and Toxicology Volume 208, 111–60. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6880-7_2.

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Shrivastava, Pankaj, R. K. Kumawat, Pushpesh Kushwaha, and Manisha Rana. "Biological Sources of DNA: The Target Materials for Forensic DNA Typing." In Handbook of DNA Profiling, 1–17. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9364-2_2-1.

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Shrivastava, Pankaj, R. K. Kumawat, Pushpesh Kushwaha, and Manisha Rana. "Biological Sources of DNA: The Target Materials for Forensic DNA Typing." In Handbook of DNA Profiling, 51–67. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4318-7_2.

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Conference papers on the topic "Source profiling"

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Li, Furong, Mong Li Lee, and Wynne Hsu. "Entity profiling with varying source reliabilities." In KDD '14: The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2623330.2623685.

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Jungblut, Pascal, Roger Kowalewski, and Karl Furlinger. "Source-to-Source Instrumentation for Profiling Runtime Behavior of C++ Containers." In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2018. http://dx.doi.org/10.1109/hpcc/smartcity/dss.2018.00157.

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Boogerd, Cathal, and Leon Moonen. "Prioritizing Software Inspection Results using Static Profiling." In 2006 Sixth IEEE International Workshop on Source Code Analysis and Manipulation. IEEE, 2006. http://dx.doi.org/10.1109/scam.2006.22.

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Lee, Doo Sung. "Multicomponent vertical seismic profiling using impulsivePandS‐wave source." In SEG Technical Program Expanded Abstracts 1988. Society of Exploration Geophysicists, 1988. http://dx.doi.org/10.1190/1.1892419.

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Gunatama, Margo, Tien Fabrianti, and Muhammad Azani Hasibuan. "Deduplication for Data Profiling using Open Source Platform." In Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icoiese-18.2019.48.

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Karuri, K., M. A. Al Faruque, S. Kraemer, R. Leupers, G. Ascheid, and H. Meyr. "Fine-grained application source code profiling for ASIP design." In 2005 42nd Design Automation Conference. IEEE, 2005. http://dx.doi.org/10.1109/dac.2005.193827.

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Chen, Qian, Quan Jinguo, Yan Zhang, and Jinbin Ju. "Source code profiling for ASIP design: Strategy and implementation." In 2011 International Conference on Electronics, Communications and Control (ICECC). IEEE, 2011. http://dx.doi.org/10.1109/icecc.2011.6066550.

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Yang, Xue, Junzhao Du, Sicong Liu, Rui Li, and Hui Liu. "Air pollution source estimation profiling via mobile sensor networks." In 2016 International Conference on Computer, Information and Telecommunication Systems (CITS). IEEE, 2016. http://dx.doi.org/10.1109/cits.2016.7546456.

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Karuri, Kingshuk, Mohammad Abdullah Al Faruque, Stefan Kraemer, Rainer Leupers, Gerd Ascheid, and Heinrich Meyr. "Fine-grained application source code profiling for ASIP design." In the 42nd annual conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1065579.1065666.

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Ming, Jiang, and Dinghao Wu. "BinCFP: Efficient Multi-threaded Binary Code Control Flow Profiling." In 2016 IEEE 16th International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE, 2016. http://dx.doi.org/10.1109/scam.2016.21.

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Reports on the topic "Source profiling"

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Maeno, Yoshiharu. Epidemiological geographic profiling for a meta-population network. Web of Open Science, December 2020. http://dx.doi.org/10.37686/ser.v1i2.78.

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Epidemiological geographic profiling is a statistical method for making inferences about likely areas of a source from the geographical distribution of patients. Epidemiological geographic profiling algorithms are developed to locate a source from the dataset on the number of new cases for a meta-population network model. It is found from the WHO dataset on the SARS outbreak that Hong Kong remains the most likely source throughout the period of observation. This reasoning is pertinent under the restricted circumstance that the number of reported probable cases in China was missing, unreliable, and incomprehensive. It may also imply that globally connected Hong Kong was more influential as a spreader than China. Singapore, Taiwan, Canada, and the United States follow Hong Kong in the likeliness ranking list
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Mayer, L. A. High Resolution Acoustic Profiling and Remote Sediment Property Determination Using, Among Other Things, a Deeply Towed Broad-Band Source. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1987. http://dx.doi.org/10.4095/123290.

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Robb, Frank T. Molecular Profiling of Microbial Communities from Contaminated Sources: Use of Subtractive Cloning Methods and rDNA Spacer Sequences. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/781022.

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Robb, Frank T. Molecular Profiling of Microbial Communities from Contaminated Sources: Use of Subtractive Cloning Methods and rDNA Spacer Sequences. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/827425.

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Robb, F. T. Molecular profiling of microbial communities from contaminated sources: Use of subtractive cloning methods and rDNA spacer sequences. 1998 annual progress report. Office of Scientific and Technical Information (OSTI), June 1998. http://dx.doi.org/10.2172/13700.

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Brown Horowitz, Sigal, Eric L. Davis, and Axel Elling. Dissecting interactions between root-knot nematode effectors and lipid signaling involved in plant defense. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598167.bard.

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Root-knot nematodes, Meloidogynespp., are extremely destructive pathogens with a cosmopolitan distribution and a host range that affects most crops. Safety and environmental concerns related to the toxicity of nematicides along with a lack of natural resistance sources threaten most crops in Israel and the U.S. This emphasizes the need to identify genes and signal mechanisms that could provide novel nematode control tactics and resistance breeding targets. The sedentary root-knot nematode (RKN) Meloidogynespp. secrete effectors in a spatial and temporal manner to interfere with and mimic multiple physiological and morphological mechanisms, leading to modifications and reprogramming of the host cells' functions, resulted in construction and maintenance of nematodes' feeding sites. For successful parasitism, many effectors act as immunomodulators, aimed to manipulate and suppress immune defense signaling triggered upon nematode invasion. Plant development and defense rely mainly on hormone regulation. Herein, a metabolomic profiling of oxylipins and hormones composition of tomato roots were performed using LC-MS/MS, indicating a fluctuation in oxylipins profile in a compatible interaction. Moreover, further attention was given to uncover the implication of WRKYs transcription factors in regulating nematode development. In addition, in order to identify genes that might interact with the lipidomic defense pathway induced by oxylipins, a RNAseq was performed by exposing M. javanicasecond-stage juveniles to tomato protoplast, 9-HOT and 13-KOD oxylipins. This transcriptome generated a total of 4682 differentially expressed genes (DEGs). Being interested in effectors, we seek for DEGs carrying a predicted secretion signal peptide. Among the DEGs including signal peptide, several had homology with known effectors in other nematode species, other unknown potentially secreted proteins may have a role as root-knot nematodes' effectors which might interact with lipid signaling. The molecular interaction of LOX proteins with the Cyst nematode effectors illustrate the nematode strategy in manipulating plant lipid signals. The function of several other effectors in manipulating plant defense signals, as well as lipids signals, weakening cell walls, attenuating feeding site function and development are still being studied in depth for several novel effectors. As direct outcome of this project, the accumulating findings will be utilized to improve our understanding of the mechanisms governing critical life-cycle phases of the parasitic M. incognita RKN, thereby facilitating design of effective controls based on perturbation of nematode behavior—without producing harmful side effects. The knowledge from this study will promote genome editing strategies aimed at developing nematode resistance in tomato and other nematode-susceptible crop species in Israel and the United States.
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Sessa, Guido, and Gregory Martin. MAP kinase cascades activated by SlMAPKKKε and their involvement in tomato resistance to bacterial pathogens. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7699834.bard.

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The research problem: Pseudomonas syringae pv. tomato (Pst) and Xanthomonas campestrispv. vesicatoria (Xcv) are the causal agents of tomato bacterial speck and spot diseases, respectively. These pathogens colonize the aerial parts of the plant and cause economically important losses to tomato yield worldwide. Control of speck and spot diseases by cultural practices or chemicals is not effective and genetic sources of resistance are very limited. In previous research supported by BARD, by gene expression profiling we identified signaling components involved in resistance to Xcvstrains. Follow up experiments revealed that a tomato gene encoding a MAP kinase kinase kinase (MAPKKKe) is required for resistance to Xcvand Pststrains. Goals: Central goal of this research was to investigate the molecular mechanisms by which MAPKKKεand associated MAP kinase cascades regulate host resistance. Specific objectives were to: 1. Determine whether MAPKKKεplays a broad role in defense signaling in plants; 2. Identify components of MAP kinase cascades acting downstream of MAPKKKε; 3. Determine the role of phosphorylation-related events in the function of MAPKKKε; 4. Isolate proteins directly activated by MAPKKKε-associatedMAPK modules. Our main achievements during this research program are in the following major areas: 1. Characterization of MAPKKKεas a positive regulator of cell death and dissection of downstream MAP kinase cascades (Melech-Bonfil et al., 2010; Melech-Bonfil and Sessa, 2011). The MAPKKKεgene was found to be required for tomato resistance to Xcvand Pstbacterial strains and for hypersensitive response cell death triggered by different R gene/effector gene pairs. In addition, overexpression analysis demonstrated that MAPKKKεis a positive regulator of cell death, whose activity depends on an intact kinase catalytic domain. Epistatic experiments delineated a signaling cascade downstream of MAPKKKεand identified SIPKK as a negative regulator of MAPKKKε-mediated cell death. Finally, genes encoding MAP kinase components downstream of MAPKKKεwere shown to contribute to tomato resistance to Xcv. 2. Identification of tomato proteins that interact with MAPKKKεand play a role in plant immunity (Oh et al., 2011). We identified proteins that interact with MAPKKKε. Among them, the 14-3-3 protein TFT7 was required for cell death mediated by several R proteins. In addition, TFT7 interacted with the MAPKK SlMKK2 and formed homodimersin vivo. Thus, TFT7 is proposed to recruit SlMKK2 and MAPKKK client proteins for efficient signal transfer. 3. Development of a chemical genetic approach to identify substrates of MAPKKKε-activated MAP kinase cascades (Salomon et al., 2009, 2011). This approach is based on engineering the kinase of interest to accept unnatural ATP analogs. For its implementation to identify substrates of MAPKKKε-activated MAP kinase modules, we sensitized the tomato MAP kinase SlMPK3 to ATP analogs and verified its ability to use them as phosphodonors. By using the sensitized SlMPK3 and radiolabeled N6(benzyl)ATP it should be possible to tag direct substrates of this kinase. 4. Development of methods to study immunity triggered by pathogen-associated molecular patterns (PAMPs) in tomato and N. benthamiana plants (Kim et al., 2009; Nguyen et al. 2010). We developed protocols for measuring various PTI-associatedphenotypes, including bacterial populations after pretreatment of leaves with PAMPs, induction of reporter genes, callose deposition at the cell wall, activation of MAP kinases, and a luciferase-based reporter system for use in protoplasts. Scientific and agricultural significance: Our research activities discovered and characterized a signal transduction pathway mediating plant immunity to bacterial pathogens. Increased understanding of molecular mechanisms of immunity will allow them to be manipulated by both molecular breeding and genetic engineering to produce plants with enhanced natural defense against disease. In addition, we successfully developed new biochemical and molecular methods that can be implemented in the study of plant immunity and other aspects of plant biology.
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Molecular profiling of microbial communities from contaminated sources: Use of substractive cloning methods and rDNA spacer sequences. 1997 annual progress report. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/13699.

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