733 research outputs found

    PB1802 A Farmer\u27s Guide to a Pick-Your-Own Operation

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    PB1803 A General Guide to Pricing for Direct Farm Marketers and Value-Added Agricultural Entrepreneurs

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    Version 3.

    On the cyclically fully commutative elements of Coxeter groups

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    Let W be an arbitrary Coxeter group. If two elements have expressions that are cyclic shifts of each other (as words), then they are conjugate (as group elements) in W. We say that w is cyclically fully commutative (CFC) if every cyclic shift of any reduced expression for w is fully commutative (i.e., avoids long braid relations). These generalize Coxeter elements in that their reduced expressions can be described combinatorially by acyclic directed graphs, and cyclically shifting corresponds to source-to-sink conversions. In this paper, we explore the combinatorics of the CFC elements and enumerate them in all Coxeter groups. Additionally, we characterize precisely which CFC elements have the property that powers of them remain fully commutative, via the presence of a simple combinatorial feature called a band. This allows us to give necessary and sufficient conditions for a CFC element w to be logarithmic, that is, ℓ(wk)=k⋅ℓ(w) for all k≥1, for a large class of Coxeter groups that includes all affine Weyl groups and simply laced Coxeter groups. Finally, we give a simple non-CFC element that fails to be logarithmic under these conditions

    Pluggable type-checking for custom type qualifiers in Java

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    We have created a framework for adding custom type qualifiers to the Javalanguage in a backward-compatible way. The type system designer definesthe qualifiers and creates a compiler plug-in that enforces theirsemantics. Programmers can write the type qualifiers in their programs andbe informed of errors or assured that the program is free of those errors.The system builds on existing Java tools and APIs.In order to evaluate our framework, we have written four type-checkersusing the framework: for a non-null type system that can detect andprevent null pointer errors; for an interned type system that can detectand prevent equality-checking errors; for a reference immutability typesystem, Javari, that can detect and prevent mutation errors; and for areference and object immutability type system, IGJ, that can detect andprevent even more mutation errors. We have conducted case studies usingeach checker to find real errors in existing software. These case studiesdemonstrate that the checkers and the framework are practical and useful

    Generalized Smoluchowski equation with correlation between clusters

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    In this paper we compute new reaction rates of the Smoluchowski equation which takes into account correlations. The new rate K = KMF + KC is the sum of two terms. The first term is the known Smoluchowski rate with the mean-field approximation. The second takes into account a correlation between clusters. For this purpose we introduce the average path of a cluster. We relate the length of this path to the reaction rate of the Smoluchowski equation. We solve the implicit dependence between the average path and the density of clusters. We show that this correlation length is the same for all clusters. Our result depends strongly on the spatial dimension d. The mean-field term KMFi,j = (Di + Dj)(rj + ri)d-2, which vanishes for d = 1 and is valid up to logarithmic correction for d = 2, is the usual rate found with the Smoluchowski model without correlation (where ri is the radius and Di is the diffusion constant of the cluster). We compute a new rate: the correlation rate K_{i,j}^{C} (D_i+D_j)(r_j+r_i)^{d-1}M{\big(\frac{d-1}{d_f}}\big) is valid for d \leq 1(where M(\alpha) = \sum+\infty i=1i\alphaNi is the moment of the density of clusters and df is the fractal dimension of the cluster). The result is valid for a large class of diffusion processes and mass radius relations. This approach confirms some analytical solutions in d 1 found with other methods. We also show Monte Carlo simulations which illustrate some exact new solvable models

    Effects of statin therapies on individuals taking antipsychotics: A systematic review

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    Introduction: Patients with a severe mental illness (SMI) taking antipsychotics may develop side effects such as dyslipidemia. Our objective is to provide an update to a previous systematic review showing statin therapy lowering lipid levels in individuals taking antipsychotics while further identifying changes, if present, in body mass index (BMI), blood pressure or any safety concerns.Methods: In August 2022, we searched MEDLINE, Embase, PsycINFO, PubMed and Cochrane Central Register of Controlled Trials for studies pertaining to the effects of statins on lipid profile measures for those taking first or second generation antipsychotic medications, with a diagnosis related to SMI. Data extraction was performed in a masked duplicate fashion. Based on article type, each study’s risk of bias was assessed using ROBINS-I or RoB-2. The GRADE criteria were used for certainty assessment.Results: Our initial search returned 396 articles, of which six were included. Five (of 6, 83.3%) articles identified significant change between baseline and post-treatment lipids. Of the articles recording blood pressure, BMI or weight and significant safety concerns, no significant changes were found. The certainty assessment for this systematic review is rated moderate. A meta-analysis was not performed.Discussion: Studies continue to demonstrate statin therapy’s utilization in prevention and treatment for dyslipidemia and its related cardiovascular risk through significant reduction in LDL-C. Patients at risk of developing dyslipidemias secondarily to antipsychotic treatment for a SMI should be considered for lipid lowering therapy with a statin. The limited number of studies included and their heterogeneity demonstrates areas for improvement for future research

    Gridmapping the northern plains of Mars: Geomorphological, Radar and Water-Equivalent Hydrogen results from Arcadia Plantia

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    A project of mapping ice-related landforms was undertaken to understand the role of sub-surface ice in the northern plains. This work is the first continuous regional mapping from CTX (“ConTeXt Camera”, 6 m/pixel; Malin et al., 2007) imagery in Arcadia Planitia along a strip 300 km across stretching from 30°N to 80°N centred on the 170° West line of longitude. The distribution and morphotypes of these landforms were used to understand the permafrost cryolithology. The mantled and textured signatures occur almost ubiquitously between 35° N and 78° N and have a positive spatial correlation with inferred ice stability based on thermal modelling, neutron spectroscopy and radar data. The degradational features into the LDM (Latitude Dependent Mantle) include pits, scallops and 100 m polygons and provide supporting evidence for sub-surface ice and volatile loss between 35-70° N in Arcadia with the mantle between 70-78° N appearing much more intact. Pitted terrain appears to be much more pervasive in Arcadia than in Acidalia and Utopia suggesting that the Arcadia study area had more wide-spread near-surface sub-surface ice, and thus was more susceptible to pitting, or that the ice was less well-buried by sediments. Correlations with ice stability models suggest that lack of pits north of 65-70° N could indicate a relatively young age (~1Ma), however this could also be explained through regional variations in degradation rates. The deposition of the LDM is consistent with an airfall hypothesis however there appears to be substantial evidence for fluvial processes in southern Arcadia with older, underlying processes being equally dominant with the LDM and degradation thereof in shaping the landscape

    The Grizzly, October 26, 2006

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    Editorial: Putting the Pieces Back Together • Possible Scam Raises Concerns • Town Hall Meeting Brings Forth Campus Issues • Food Drive a Success • Fall is in the Air • Story Behind the Statue: Praha • Get to Know the Nominees • Opinions: Long Live Noise; Swept Under the Rug; Truth About Study Abroad • Women\u27s Volleyball Swept by Gettysburg • Bullets Offense Too Much for Bears • Bears Make Run for Playoffshttps://digitalcommons.ursinus.edu/grizzlynews/1722/thumbnail.jp

    Deconvoluting kinase inhibitor induced cardiotoxicity

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    Many drugs designed to inhibit kinases have their clinical utility limited by cardiotoxicity-related label warnings or prescribing restrictions. While this liability is widely recognized, designing safer kinase inhibitors (KI) requires knowledge of the causative kinase(s). Efforts to unravel the kinases have encountered pharmacology with nearly prohibitive complexity. At therapeutically relevant concentrations, KIs show promiscuity distributed across the kinome. Here, to overcome this complexity, 65 KIs with known kinome-scale polypharmacology profiles were assessed for effects on cardiomyocyte (CM) beating. Changes in human iPSC-CM beat rate and amplitude were measured using label-free cellular impedance. Correlations between beat effects and kinase inhibition profiles were mined by computation analysis (Matthews Correlation Coefficient) to identify associated kinases. Thirty kinases met criteria of having (1) pharmacological inhibition correlated with CM beat changes, (2) expression in both human-induced pluripotent stem cell-derived cardiomyocytes and adult heart tissue, and (3) effects on CM beating following single gene knockdown. A subset of these 30 kinases were selected for mechanistic follow up. Examples of kinases regulating processes spanning the excitation–contraction cascade were identified, including calcium flux (RPS6KA3, IKBKE) and action potential duration (MAP4K2). Finally, a simple model was created to predict functional cardiotoxicity whereby inactivity at three sentinel kinases (RPS6KB1, FAK, STK35) showed exceptional accuracy in vitro and translated to clinical KI safety data. For drug discovery, identifying causative kinases and introducing a predictive model should transform the ability to design safer KI medicines. For cardiovascular biology, discovering kinases previously unrecognized as influencing cardiovascular biology should stimulate investigation of underappreciated signaling pathways
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