Affordability: Family Incomes and Net Prices At Highly Selective Private Colleges and Universities

College tuition is frequently compared, in press and politics, to the US median family income. That is, however, a highly misleading benchmark since schools with need-based financial aid rarely charge students from median income families the reported sticker price. Working from the financial aid records of individual students at twenty-eight highly selective private colleges and universities (COFHE schools), we addressed two questions: what do the highly able low income students at these schools actually pay, net of financial aid grants, for a year's education and how do these schools differentiate their prices in recognition of the different family incomes of their students - the concrete evidence of their dedication to equality of opportunity? The answer to the first question is that while there is considerable variety in net prices, many of these expensive schools charge their low income students very little (one, less than $800 a year for the average student in the bottom income quintile), making it quite reasonable for a highly able student to aspire to go to a very selective private college or university regardless of family income. The second answer also reveals considerable variety among schools. Virtually all of them charge students in the bottom income quintile a lower net price, on average, than they do their wealthier students, but at some, net price as a share of family income rises as incomes increase while at others it falls. Most, however, follow pricing policies that embody rough proportionality between net price and family income over the whole range of the student incomes, including those paying the full sticker price. The net prices that remain to be paid by aided students are covered, of course, by direct payment and 'self-help' - loans and student jobs. In these data, the error in the popular representation of tuition and income is clear: the average sticker price is 66% of median US family income but the average student at that level pays just 23% of family income

Tsirelson bounds for generalized Clauser-Horne-Shimony-Holt inequalities

Quantum theory imposes a strict limit on the strength of non-local correlations. It only allows for a violation of the CHSH inequality up to the value 2 sqrt(2), known as Tsirelson's bound. In this note, we consider generalized CHSH inequalities based on many measurement settings with two possible measurement outcomes each. We demonstrate how to prove Tsirelson bounds for any such generalized CHSH inequality using semidefinite programming. As an example, we show that for any shared entangled state and observables X_1,...,X_n and Y_1,...,Y_n with eigenvalues +/- 1 we have | + <X_2 Y_1> + + + ... + - | <= 2 n cos(pi/(2n)). It is well known that there exist observables such that equality can be achieved. However, we show that these are indeed optimal. Our approach can easily be generalized to other inequalities for such observables.Comment: 9 pages, LateX, V2: Updated reference [3]. To appear in Physical Review

The Use of Coding Methods to Estimate the Social Behavior Directed toward Peers and Adults of Preschoolers with ASD in TEACCH, LEAP, and Eclectic “BAU” Classrooms

Momentary time sampling, partial-interval recording, and event coding are observational coding methods commonly used to examine the social and challenging behaviors of children at risk for or with developmental delays or disabilities. Yet there is limited research comparing the accuracy of and relationship between these three coding methods. By coding the low-frequency social behaviors of 100 preschool-aged children with autism spectrum disorder, the current study examines the associations among the three methodologies. Results indicated a strong relationship among all three coding methodologies. The findings provide information to researchers and practitioners considering the benefits and drawbacks of each coding methodology

Almost All Quantum States Have Low Entropy Rates for Any Coupling to the Environment

The joint state of a system that is in contact with an environment is called lazy, if the entropy rate of the system under any coupling to the environment is zero. Necessary and sufficient conditions have recently been established for a state to be lazy [ Phys. Rev. Lett. 106 050403 (2011)], and it was shown that almost all states of the system and the environment do not have this property [ Phys. Rev. A 81 052318 (2010)]. At first glance, this may lead us to believe that low entropy rates themselves form an exception, in the sense that most states are far from being lazy and have high entropy rates. Here, we show that in fact the opposite is true if the environment is sufficiently large. Almost all states of the system and the environment are pretty lazy-their entropy rates are low for any coupling to the environment.Comment: 4+3 pages, revtex, v3: version published in PR

A national antimicrobial guide with local, customizable versions:how is it used? A two-year analysis

OBJECTIVES: Guideline adherence is one of the most important objectives for antibiotic stewardship. The Dutch Working Party on Antibiotic Policy (SWAB) developed an online national guide (SWAB-ID) in 2006. Every Dutch hospital is offered the opportunity to customize the national version to their local context and distribute it through an independent website. We studied user data to see how often the guidelines on therapy, prophylaxis and medication are used.METHODS: Data on usage between 19 June 2020 and 30 June 2022 were extracted through Google Analytics for the national site and the 53 hospitals using a customized version of the national guide. User data were divided into three main groups: users of the national guide SWAB-ID, and users of the sites of general hospitals and university hospitals.RESULTS: A total of 1 837 126 searches were analysed, of which 1 393 681 (75.9%) concerned therapy, 111 774 (6.1%) prophylaxis and 331 671 (18%) medication. Of these searches, 456 854 (24.9%) were performed on the national site, 950 887 (51.8%) by general hospitals and 429 385 (23.4%) by university hospitals. The most commonly searched tracts among all user groups were lower respiratory tract (21.8%), kidney and urinary tract (16.6%) and skin and soft tissues (11.8%). The most commonly searched conditions were community-acquired pneumonia (15.3%), cystitis (13.5%) and sepsis (11.3%). The top ranked pages on medication differed for the three categories of users.CONCLUSIONS: The SWAB-ID antimicrobial guide is used extensively by both general and university hospitals. The online guide can help in prescribing therapy according to the guideline.</p

A national antimicrobial guide with local, customizable versions:how is it used? A two-year analysis

OBJECTIVES: Guideline adherence is one of the most important objectives for antibiotic stewardship. The Dutch Working Party on Antibiotic Policy (SWAB) developed an online national guide (SWAB-ID) in 2006. Every Dutch hospital is offered the opportunity to customize the national version to their local context and distribute it through an independent website. We studied user data to see how often the guidelines on therapy, prophylaxis and medication are used.METHODS: Data on usage between 19 June 2020 and 30 June 2022 were extracted through Google Analytics for the national site and the 53 hospitals using a customized version of the national guide. User data were divided into three main groups: users of the national guide SWAB-ID, and users of the sites of general hospitals and university hospitals.RESULTS: A total of 1 837 126 searches were analysed, of which 1 393 681 (75.9%) concerned therapy, 111 774 (6.1%) prophylaxis and 331 671 (18%) medication. Of these searches, 456 854 (24.9%) were performed on the national site, 950 887 (51.8%) by general hospitals and 429 385 (23.4%) by university hospitals. The most commonly searched tracts among all user groups were lower respiratory tract (21.8%), kidney and urinary tract (16.6%) and skin and soft tissues (11.8%). The most commonly searched conditions were community-acquired pneumonia (15.3%), cystitis (13.5%) and sepsis (11.3%). The top ranked pages on medication differed for the three categories of users.CONCLUSIONS: The SWAB-ID antimicrobial guide is used extensively by both general and university hospitals. The online guide can help in prescribing therapy according to the guideline.</p

The Sensitivity of Subsurface Microbes to Ocean Warming Accentuates Future Declines in Particulate Carbon Export

Under future warming Earth System Models (ESMs) project a decrease in the magnitude of downward particulate organic carbon (POC) export, suggesting the potential for carbon storage in the deep ocean will be reduced. Projections of POC export can also be quantified using an alternative physiologically-based approach, the Metabolic Theory of Ecology (MTE). MTE employs an activation energy (Ea) describing organismal metabolic sensitivity to temperature change, but does not consider changes in ocean chemistry or physics. Many ESMs incorporate temperature dependent functions, where rates (e.g., respiration) scale with temperature. Temperature sensitivity describes how temperature dependence varies across metabolic rates or species. ESMs acknowledge temperature sensitivity between rates (e.g., between heterotrophic and autotropic processes), but due to a lack of empirical data cannot parameterize for variation within rates, such as differences within species or biogeochemical provinces. Here we investigate how varying temperature sensitivity affects heterotrophic microbial respiration and hence future POC export. Using satellite-derived data and ESM temperature projections we applied microbial MTE, with varying temperature sensitivity, to estimates of global POC export. In line with observations from polar regions and the deep ocean we imposed an elevated temperature sensitivity (Ea = 1.0 eV) to cooler regions; firstly to the Southern Ocean (south of 40°S) and secondly where temperature at 100 m depth &lt;13°C. Elsewhere in both these scenarios Ea was set to 0.7 eV (moderate sensitivity/classic MTE). Imposing high temperature sensitivity in cool regions resulted in projected declines in export of 17 ± 1% (&lt; 40°S) and 23 ± 1% (&lt; 13°C) by 2100 relative to the present day. Hence varying microbial temperature sensitivity resulted in at least 2-fold greater declines in POC export than suggested by classic MTE derived in this study (12 ± 1%, Ea = 0.7 eV globally) or ESMs (1–12%). The sparse observational data currently available suggests metabolic temperature sensitivity of organisms likely differs depending on the oceanic province they reside in. We advocate temperature sensitivity to be incorporated in biogeochemical models to improve projections of future carbon export, which could be currently underestimating the change in future POC export

Using post-measurement information in state discrimination

We consider a special form of state discrimination in which after the measurement we are given additional information that may help us identify the state. This task plays a central role in the analysis of quantum cryptographic protocols in the noisy-storage model, where the identity of the state corresponds to a certain bit string, and the additional information is typically a choice of encoding that is initially unknown to the cheating party. We first provide simple optimality conditions for measurements for any such problem, and show upper and lower bounds on the success probability. For a certain class of problems, we furthermore provide tight bounds on how useful post-measurement information can be. In particular, we show that for this class finding the optimal measurement for the task of state discrimination with post-measurement information does in fact reduce to solving a different problem of state discrimination without such information. However, we show that for the corresponding classical state discrimination problems with post-measurement information such a reduction is impossible, by relating the success probability to the violation of Bell inequalities. This suggests the usefulness of post-measurement information as another feature that distinguishes the classical from a quantum world.Comment: 10 pages, 4 figures, revtex, v2: published version, minor change

Prenatal Exposure to Organophosphates, Paraoxonase 1, and Cognitive Development in Childhood

Background: Prenatal exposure to organophosphate pesticides has been shown to negatively affect child neurobehavioral development. Paraoxonase 1 (PON1) is a key enzyme in the metabolism of organophosphates

The Sensitivity of Subsurface Microbes to Ocean Warming Accentuates Future Declines in Particulate Carbon Export

Under future warming Earth System Models (ESMs) project a decrease in the magnitude of downward particulate organic carbon (POC) export, suggesting the potential for carbon storage in the deep ocean will be reduced. Projections of POC export can also be quantified using an alternative physiologically-based approach, the Metabolic Theory of Ecology (MTE). MTE employs an activation energy (Ea) describing organismal metabolic sensitivity to temperature change, but does not consider changes in ocean chemistry or physics. Many ESMs incorporate temperature dependent functions, where rates (e.g., respiration) scale with temperature. Temperature sensitivity describes how temperature dependence varies across metabolic rates or species. ESMs acknowledge temperature sensitivity between rates (e.g., between heterotrophic and autotropic processes), but due to a lack of empirical data cannot parameterize for variation within rates, such as differences within species or biogeochemical provinces. Here we investigate how varying temperature sensitivity affects heterotrophic microbial respiration and hence future POC export. Using satellite-derived data and ESM temperature projections we applied microbial MTE, with varying temperature sensitivity, to estimates of global POC export. In line with observations from polar regions and the deep ocean we imposed an elevated temperature sensitivity (Ea = 1.0 eV) to cooler regions; firstly to the Southern Ocean (south of 40°S) and secondly where temperature at 100 m depth <13°C. Elsewhere in both these scenarios Ea was set to 0.7 eV (moderate sensitivity/classic MTE). Imposing high temperature sensitivity in cool regions resulted in projected declines in export of 17 ± 1% (< 40°S) and 23 ± 1% (< 13°C) by 2100 relative to the present day. Hence varying microbial temperature sensitivity resulted in at least 2-fold greater declines in POC export than suggested by classic MTE derived in this study (12 ± 1%, Ea = 0.7 eV globally) or ESMs (1–12%). The sparse observational data currently available suggests metabolic temperature sensitivity of organisms likely differs depending on the oceanic province they reside in. We advocate temperature sensitivity to be incorporated in biogeochemical models to improve projections of future carbon export, which could be currently underestimating the change in future POC export