2,035 research outputs found
Area of Operation for a Radio-Frequency Identification (RFID) Tag in the Far-Field
In Radio Frequency Identification (RFID) applications, it is beneficial to know where in a three-dimensional space an RFID tag will operate with respect to the interrogating transmitter. It becomes a very complex problem containing numerous variables including transmitted power, antenna gains, orientation, etc. One well-known equation used to approximate the power that a tag can receive from an interrogating transmitter is the Friis Equation. However, the commonly used form of the Friis Equation contains assumptions that limit the validity to a single point, orientation, and polarization in space, which is usually the most favorable. These simplifications eliminate the reflection coefficients and polarization terms, and the gains lose their angular dependences. This dissertation will provide a mathematical model that describes the operation of a tag in the far-field from a more realistic perspective in a three-dimensional space. The complete form of the Friis equation will be used as the basic formulation to model the amount of power a tag can receive for any orientation at a given point in space. The dissertation will also include mathematical analyses of how the location of the data base station affects the performance of the system by applying the physics embodied in the complete Friis equation to the return transmission link from the tag to the data base station. The complete mathematical expression will be used to evaluate the performance of an RFID tag by depicting the three-dimensional area of operation. The functioning volume will be solved using the developed scaling factor method and will give an accurate portrayal of where a tag can be successfully read as a specified percentage of reads when all orientations and polarizations are examined
On-chip Impedance Transformations for a Standard CMOS Process
On-chip impedance matching has become a major focus as companies and institutions move closer to a complete System on a Chip (SoC). With limited design area, it is important to obtain maximum power transfer to the required load. This research presents commonly used impedance matching techniques and extends them to include on-chip networks. These networks have inherent problems caused by the common substrate. It will be shown that the resulting parasitics can be calculated to allow analysis and manipulation of the overall design. It will also be demonstrated that the use of on-chip inductors will cause severe mismatch and loss due to their low quality factors. Finally, test networks will be fabricated in a 1.5-micron process to show the validity of the concepts presented
Supply-Side Ecology and the Response of Zooplankton to Climate-Driven Changes in North Atlantic Ocean Circulation
BLIS-Net: Classifying and Analyzing Signals on Graphs
Graph neural networks (GNNs) have emerged as a powerful tool for tasks such
as node classification and graph classification. However, much less work has
been done on signal classification, where the data consists of many functions
(referred to as signals) defined on the vertices of a single graph. These tasks
require networks designed differently from those designed for traditional GNN
tasks. Indeed, traditional GNNs rely on localized low-pass filters, and signals
of interest may have intricate multi-frequency behavior and exhibit long range
interactions. This motivates us to introduce the BLIS-Net (Bi-Lipschitz
Scattering Net), a novel GNN that builds on the previously introduced geometric
scattering transform. Our network is able to capture both local and global
signal structure and is able to capture both low-frequency and high-frequency
information. We make several crucial changes to the original geometric
scattering architecture which we prove increase the ability of our network to
capture information about the input signal and show that BLIS-Net achieves
superior performance on both synthetic and real-world data sets based on
traffic flow and fMRI data
Petition for Rulemaking on Short and Distort
Today, some hedge funds attack public companies for the sole purpose of inducing a short-lived panic which they can exploit for profit. This sort of market manipulation harms average investors who entrust financial markets with their retirement savings. While short selling serves a critical function in the capital markets, some short sellers disseminate negative opinion about a company, inducing a panic and sharp decline in the stock price, and rapidly close that position for a profit prior to the price partially or fully rebounding. We urge the SEC to enact two rules which will discourage manipulative short selling. The petition for rule-making on short and distort has been jointly signed by twelve securities law professors nationwide
Why do banks promise to pay par on demand?
We survey the theories of why banks promise to pay par on demand and examine evidence about
the conditions under which banks have promised to pay the par value of deposits and banknotes on
demand when holding only fractional reserves. The theoretical literature can be broadly divided into four
strands: liquidity provision, asymmetric information, legal restrictions, and a medium of exchange. We
assume that it is not zero cost to make a promise to redeem a liability at par value on demand. If so, then
the conditions in the theories that result in par redemption are possible explanations of why banks
promise to pay par on demand. If the explanation based on customers’ demand for liquidity is correct,
payment of deposits at par will be promised when banks hold assets that are illiquid in the short run. If
the asymmetric-information explanation based on the difficulty of valuing assets is correct, the
marketability of banks’ assets determines whether banks promise to pay par. If the legal restrictions
explanation of par redemption is correct, banks will not promise to pay par if they are not required to do
so. If the transaction explanation is correct, banks will promise to pay par value only if the deposits are
used in transactions. After the survey of the theoretical literature, we examine the history of banking in
several countries in different eras: fourth-century Athens, medieval Italy, Japan, and free banking and
money market mutual funds in the United States. We find that all of the theories can explain some of the
observed banking arrangements, and none explain all of them
Early Detection of Ovarian Cancer using the Risk of Ovarian Cancer Algorithm with Frequent CA125 Testing in Women at Increased Familial Risk – Combined Results from Two Screening Trials
Purpose: Women at familial/genetic ovarian cancer risk often undergo screening despite unproven efficacy. Research suggests each woman has her own CA125 baseline; significant increases above this level may identify cancers earlier than standard 6- to 12-monthly CA125 > 35 U/mL. Experimental Design: Data from prospective Cancer Genetics Network and Gynecologic Oncology Group trials, which screened 3,692 women (13,080 woman-screening years) with a strong breast/ovarian cancer family history or BRCA1/2 mutations, were combined to assess a novel screening strategy. Specifically, serum CA125 q3 months, evaluated using a risk of ovarian cancer algorithm (ROCA), detected significant increases above each subject's baseline, which triggered transvaginal ultrasound. Specificity and positive predictive value (PPV) were compared with levels derived from general population screening (specificity 90%, PPV 10%), and stage-at-detection was compared with historical high-risk controls. Results: Specificity for ultrasound referral was 92% versus 90% ( P = 0.0001), and PPV was 4.6% versus 10% ( P > 0.10). Eighteen of 19 malignant ovarian neoplasms [prevalent = 4, incident = 6, risk-reducing salpingo-oophorectomy (RRSO) = 9] were detected via screening or RRSO. Among incident cases (which best reflect long-term screening performance), three of six invasive cancers were early-stage (I/II; 50% vs. 10% historical BRCA1 controls; P = 0.016). Six of nine RRSO-related cases were stage I. ROCA flagged three of six (50%) incident cases before CA125 exceeded 35 U/mL. Eight of nine patients with stages 0/I/II ovarian cancer were alive at last follow-up (median 6 years). Conclusions: For screened women at familial/genetic ovarian cancer risk, ROCA q3 months had better early-stage sensitivity at high specificity, and low yet possibly acceptable PPV compared with CA125 > 35 U/mL q6/q12 months, warranting further larger cohort evaluation. Clin Cancer Res; 23(14); 3628-37. ©2017 AACR
Merging paleobiology with conservation biology to guide the future of terrestrial ecosystems
Conservation of species and ecosystems is increasingly difficult because anthropogenic impacts are pervasive and accelerating. Under this rapid global change, maximizing conservation success requires a paradigm shift from maintaining ecosystems in idealized past states toward facilitating their adaptive and functional capacities, even as species ebb and flow individually. Developing effective strategies under this new paradigm will require deeper understanding of the long-term dynamics that govern ecosystem persistence and reconciliation of conflicts among approaches to conserving historical versus novel ecosystems. Integrating emerging information from conservation biology, paleobiology, and the Earth sciences is an important step forward on the path to success. Maintaining nature in all its aspects will also entail immediately addressing the overarching threats of growing human population, overconsumption, pollution, and climate change.Peer reviewe
Origins Space Telescope: Baseline mission concept
The Origins Space Telescope will trace the history of our origins from the time dust and heavy elements permanently altered the cosmic landscape to present-day life. How did galaxies evolve from the earliest galactic systems to those found in the Universe today? How do habitable planets form? How common are life-bearing worlds? To answer these alluring questions, Origins will operate at mid-and far-infrared (IR) wavelengths and offer powerful spectroscopic instruments and sensitivity three orders of magnitude better than that of the Herschel Space Observatory, the largest telescope flown in space to date. We describe the baseline concept for Origins recommended to the 2020 US Decadal Survey in Astronomy and Astrophysics. The baseline design includes a 5.9-m diameter telescope cryocooled to 4.5 K and equipped with three scientific instruments. A mid-infrared instrument (Mid-Infrared Spectrometer and Camera Transit spectrometer) will measure the spectra of transiting exoplanets in the 2.8 to 20 μm wavelength range and offer unprecedented spectrophotometric precision, enabling definitive exoplanet biosignature detections. The far-IR imager polarimeter will be able to survey thousands of square degrees with broadband imaging at 50 and 250 μm. The Origins Survey Spectrometer will cover wavelengths from 25 to 588 μm, making wide-area and deep spectroscopic surveys with spectral resolving power R ∼ 300, and pointed observations at R ∼ 40,000 and 300,000 with selectable instrument modes. Origins was designed to minimize complexity. The architecture is similar to that of the Spitzer Space Telescope and requires very few deployments after launch, while the cryothermal system design leverages James Webb Space Telescope technology and experience. A combination of current-state-of-the-art cryocoolers and next-generation detector technology will enable Origins\u27 natural background-limited sensitivity
A roadmap to the efficient and robust characterization of temperate terrestrial planet atmospheres with JWST
Ultra-cool dwarf stars are abundant, long-lived, and uniquely suited to
enable the atmospheric study of transiting terrestrial companions with JWST.
Amongst them, the most prominent is the M8.5V star TRAPPIST-1 and its seven
planets, which have been the favored targets of eight JWST Cycle 1 programs.
While Cycle 1 observations have started to yield preliminary insights into the
planets, they have also revealed that their atmospheric exploration requires a
better understanding of their host star. Here, we propose a roadmap to
characterize the TRAPPIST-1 system -- and others like it -- in an efficient and
robust manner. We notably recommend that -- although more challenging to
schedule -- multi-transit windows be prioritized to constrain stellar
heterogeneities and gather up to 2 more transits per JWST hour spent.
We conclude that in such systems planets cannot be studied in isolation by
small programs, thus large-scale community-supported programs should be
supported to enable the efficient and robust exploration of terrestrial
exoplanets in the JWST era
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