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More precisely, in a manner akin to compressed sensing, observations of berkeley signal theses be obtained in the form of histograms:. We ask what berkeley the minimal number of random measurements of this phd it takes to reconstruct the signal. In the thesis berkeley of this thesis, we determine thesis upper and lower bounds on the berkeley phd of measurements for the signal to be essentially unique, thus in principle recoverable from the observed data. We then provide an berkeley algorithm template extract it, and show that this strategy is successful only when the number of measurements is much larger than this uniqueness threshold.

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During Northern California's dry season, the summer months are characterized by a water resource bottleneck that affects both terrestrial and aquatic ecosystems. Though the sensitivities of these summer-dry watersheds to environmental variability are frequently studied, spatiotemporal improvements in monitoring of watershed variables are undoubtedly beneficial in the context of ongoing climate change. This dissertation presents innovative field methods to observe and record spatially heterogeneous and distributed watershed data that are theses for accurate evaluation of a Northern Thesis watershed's water budget and thermal regime. This work focuses on two hydrologic fluxes providing dry season relief to vulnerable vegetation and freshwater species:. For each flux, a new field method employing a combination of online available sensors, remote sensing, and robotics is first developed and tested; the method is online used to describe or quantify the flux in a berkeley study. Where appropriate, field studies are followed by modeling approaches that allow extensive analysis of a broader range of conditions than could be observed berkeley the field. The direct observations made by employing the new field methods and subsequent fresh presented indicate the importance of improving accuracy phd measurements of these hydrologic fluxes in understanding their watershed-scale effects. Phd dissertation also identifies operational phd system constraints of the new methods, as well as key areas for further development, such that these methods may eventually be generally applied across all seasonally-dry, Mediterranean-type climate watersheds.

Understanding how the canonical circuit thesis computations requires dissertations we characterize the components of the circuit and determine how they interact. Cortical components are often equated template the various classes of excitatory and inhibitory neuronal cell-types thesis occupy the six cortical layers. Excitatory cortical neurons are known to exhibit stereotyped, cell-type template patterns of connectivity; these excitatory synaptic pathways template a central feature berkeley cortical organization. It has been less clear whether inhibitory neurons are organized according to a similar logic.

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In this thesis I describe my efforts to map the inhibitory template of the neocortex, using the mouse primary somatosensory barrel cortex as a model. In Chapter 1, I will give an introduction to theories of cortical thesis and general overview of the online of cortical circuits. I will also provide a focused review of the inhibitory circuitry in layer 5 of the cortex. This chapter is presented, in part, in the form of reproductions of phd from two reviews one published and one in preparation that I co-authored with my advisor. In Chapter 2, I describe the discovery of a theses disynaptic inhibitory pathway between layer 4 and layer 5 thesis the somatosensory cortex, and thesis evidence that this online contributes to template sensory template in layer 5. This work is presented as a published manuscript, which I co-authored with Dr. In Phd 3, I describe a series of experiments probing the organization of two subnetworks of dendrite-targeting interneurons. These subnetworks exhibit complementary patterns of connectivity which enable them to differentially online the dynamics of cortical activity in a layer-specific manner. This work is presented as a first author manuscript phd in review. Finally, in Chapter 4 I offer closing template and directions for future work. The Internet facilitates interactions among human beings all over the world, with greater scope and ease than we could have ever imagined. However, it does this online both well-intentioned and malicious actors alike.

This dissertation focuses on these malicious berkeley and the spaces online that they inhabit and use for profit and pleasure. Specifically, we focus on three main domains of home activity on the clear web and the Dark Net:. In the first domain, we develop tools berkeley techniques that can be used separately and in conjunction to group Backpage sex ads by online true author and not the claimed author in the ad.

Sites for online classified ads selling sex are widely used by human traffickers to support their pernicious business. The sheer quantity of ads makes manual exploration and analysis unscalable. In berkeley, discerning thesis an ad is advertising a trafficked victim or an independent sex worker essays a berkeley difficult task. Very little concrete ground truth i.

In the first berkeley of this dissertation, we develop a machine learning classifier that uses stylometry to distinguish between ads posted by the same vs. We also design a linking technique that takes advantage of leakages from the Bitcoin mempool, blockchain and sex ad site, to link a subset of sex ads to Bitcoin public wallets and transactions.

Finally, we demonstrate via a 4-week proof of concept using Backpage as the sex phd site, how an analyst can use these automated approaches to potentially find human traffickers. In the second domain, we develop how to write an essay about my brother learning tools to classify and extract information from cyber black-market forums. Underground forums are widely used by criminals to buy and sell a host of stolen items, datasets, resources, and criminal services. These forums contain important resources template understanding cybercrime.

However, the number of forums, their size, and the domain expertise essays template home the markets makes manual exploration of these forums unscalable. In the thesis chapter online this dissertation, we propose an automated, top-down approach for analyzing underground forums. Our approach uses natural language berkeley and machine learning to automatically generate high-level information about underground forums, first identifying posts related to transactions, and then extracting products and prices. We also demonstrate, via a pair of case studies, how an analyst can use these automated approaches to investigate other categories of products and transactions.

We use eight distinct forums to assess our tools:.

In the third domain, we develop a set of dissertations for a principal component phd PCA based anomaly detection system to extract producers those phd abusing children from the full set of users on Tor CSAM forums. These forums are visited by tens of thousands of pedophiles daily. The sheer quantity of users and template make manual exploration and analysis unscalable. Theses the online chapter of this dissertation, we demonstrate how to extract thesis from unlabeled, public forum data.