Analysis of the Caddisflies (Trichoptera) of the Manistee River Watershed, Michigan

We document 134 caddisfly species and their seasonal and habitat affinities based on 93 samples collected from 26 sites throughout the Manistee River watershed in the lower peninsula of Michigan from May through September, 2010. Eleven of these species: Banksiola dossuaria (Say), Cheumatopsyche aphanta Ross, Cheumatopsyche pasella Ross, Hydroptila xera Ross, Ironoquia lyrata (Ross), Lepidostoma vernale (Banks), Neotrichia vibrans Ross, Nyctiophylax affinis (Banks), Oxyethira aeola Ross, Oxyethira rivicola Blickle and Morse, and Polycentropus timesis (Denning) are reported from Michigan for the first time. More than 85% of species reached peak adult abundance during June or July, although a few species reached peak abundance or emerged exclusively during the other months. Overall species richness reached its peak during early July, with a smaller peak of unique species in September. Caddisfly faunas in lakes, small streams, medium rivers, and large rivers were all distinct from each other, suggesting that the overall watershed is following patterns predicted by the River Continuum Concept. It is likely that the Michigan caddisfly fauna contains considerably more species than what is currently known

Using Word Scrambles as an Information Systems Creativity Warm-Up Exercise

A warm-up exercise for the purpose of fostering creativity, imagination and interest is suggested for use in the introductory Management of Information Systems course. Specifically, a series of word scrambles are proposed the solution of which comprises a surprise answer based on a concept in the information systems course textbook. In the first condition students attempt to solve two word scrambles on their own. In the second condition, students solve the exercises using the computer as an aid. Because this is a timed exercise, it is posited that students will report greater ease in solving the second set of word scrambles more quickly and with greater accuracy. The exercise can serve as an example of a computer aided decision support system resulting in greater textbook understanding now and may also prove useful in the development of other possible decision support systems later

Insight Into the Formation of the Milky Way Through Cold Halo Substructure. III. Statistical Chemical Tagging in the Smooth Halo

We find that the relative contribution of satellite galaxies accreted at high redshift to the stellar population of the Milky Way's smooth halo increases with distance, becoming observable relative to the classical smooth halo about 15 kpc from the Galactic center. In particular, we determine line-of-sight-averaged [Fe/H] and [alpha/Fe] in the metal-poor main-sequence turnoff (MPMSTO) population along every Sloan Extension for Galactic Understanding and Exploration (SEGUE) spectroscopic line of sight. Restricting our sample to those lines of sight along which we do not detect elements of cold halo substructure (ECHOS), we compile the largest spectroscopic sample of stars in the smooth component of the halo ever observed in situ beyond 10 kpc. We find significant spatial autocorrelation in [Fe/H] in the MPMSTO population in the distant half of our sample beyond about 15 kpc from the Galactic center. Inside of 15 kpc however, we find no significant spatial autocorrelation in [Fe/H]. At the same time, we perform SEGUE-like observations of N-body simulations of Milky Way analog formation. While we find that halos formed entirely by accreted satellite galaxies provide a poor match to our observations of the halo within 15 kpc of the Galactic center, we do observe spatial autocorrelation in [Fe/H] in the simulations at larger distances. This observation is an example of statistical chemical tagging and indicates that spatial autocorrelation in metallicity is a generic feature of stellar halos formed from accreted satellite galaxies.Comment: 27 pages, 8 figures, and 7 tables in emulateapj format; accepted for publication in ApJ. Full tables can be extracted from LaTeX sourc

Factors Influencing the Stock Price of Banking Companies in the Indonesia Stock Exchange

The banking sector is the industry most regulated by the government has given the importance of this sector in the country\u27s economy as a bridge for financing the real sector. Stocks in the banking industry are one of the stocks that are highly sought after by investors. Banks that have good health will attract many investors. The purpose of this study is to prove the influence of the bank\u27s health level – risk profile and good corporate governance – on stock price in the banking sector companies on the IDX. The data used in this study are secondary data in the form of financial statements of banking companies. The independent variables in this study are risk profile and GCG, which consist of Non Performing Loans (NPL), Interest Rate Risk (IRR), Loan to Deposit Ratio (LDR), Managerial Ownership, Institutional Ownership, Independent Commissioner, Size of Board of Directors, Committee Audit and dependent variable Share Price. The sampling method in this study was purposive sampling with a sample of 7 banking companies registered on the Indonesia Stock Exchange. Stock price are the closing price on Yahoo Finance. The data analysis technique used is parametric statistical test – multiple linear regression analysis and classical assumption test, including normality test, autocorrelation test, multicollinearity test, and heteroscedasticity test. Test of hypothesis used the R Square test, partial t-test, and F test. The results of the study prove that the Non-Performing Loan (NPL), Independent Commissioner, and Audit Committee variables have no influence on the Stock Price. However, the Interest Rate Risk (IRR), Loan to Deposit Ratio (LDR), Managerial Ownership, Institutional Ownership, and the Size of the Board of Directors have an effect on Stock price.  Keywords: Non-Performing Loan (NPL), Interest Rate Risk (IRR), Loan to Deposit Ratio (LDR), Managerial Ownership, Institutional Ownership, Independent Commissioner, The size of the Board of Directors, the Audit Committee, and stock price

Daily stress reactivity and serotonin transporter gene (5-HTTLPR) variation: internalizing responses to everyday stress as a possible transdiagnostic phenotype

BACKGROUND: Recent studies examining the interaction between the 5-HTTLPR locus in the serotonin transporter gene and life stress in predicting depression have yielded equivocal results, leading some researchers to question whether 5-HTTLPR variation indeed regulates depressive responses to stress. Two possible sources of inconsistent data in this literature are imprecise stress assessment methodologies and a restricted focus on depression phenotypes as the outcome of interest, as opposed to transdiagnostic emotional symptoms such as internalizing and externalizing dimensions. The present study aimed to address these critical limitations in prior research by examining how 5-HTTLPR acts in concert with idiographically assessed daily life stress to predict transdiagnostic emotional outcomes. RESULTS: One hundred and four healthy young adults genotyped for 5-HTTLPR reported on their life stress exposure and internalizing and externalizing experiences for 14 consecutive days. As hypothesized, daily stress levels were associated with severity of internalizing symptoms, but only for 5-HTTLPR S allele carriers. Additional analyses revealed that these interactive effects of 5-HTTLPR and daily life stress on internalizing symptoms extended to both the distress and fear subdomains of internalizing symptoms. CONCLUSIONS: Considered together, these results support the validity of the 5-HTTLPR stress sensitivity hypothesis and suggest for the first time that variation at 5-HTTLPR moderates the effects of daily life stress on broadband symptom profiles

Temporal order of bipolar cell genesis in the neural retina

NEURAL DEVELOPMENT www.neuraldevelopment.com Temporal order of bipolar cell genesis in the neural retina Eric M Morrow et al

Carbon-enhanced Metal-poor Stars in SDSS/SEGUE. I. Carbon Abundance Estimation and Frequency of CEMP Stars

We describe a method for the determination of stellar [C/Fe] abundance ratios using low-resolution (R = 2000) stellar spectra from the SDSS and SEGUE. By means of a star-by-star comparison with a set of SDSS/SEGUE spectra with available estimates of [C/Fe] based on published high-resolution analyses, we demonstrate that we can measure [C/Fe] from SDSS/SEGUE spectra with S/N > 15 to a precision better than 0.35 dex. Using the measured carbon-to-iron abundance ratios obtained by this technique, we derive the frequency of carbon-enhanced stars ([C/Fe] > +0.7) as a function of [Fe/H], for both the SDSS/SEGUE stars and other samples from the literature. We find that the differential frequency slowly rises from almost zero to about 14% at [Fe/H] ~ -2.4, followed by a sudden increase, by about a factor of three, to 39% from [Fe/H] ~ -2.4 to [Fe/H] ~ -3.7. We also examine how the cumulative frequency of CEMP stars varies across different luminosity classes. The giant sample exhibits a cumulative CEMP frequency of 32% for [Fe/H] < -2.5, 31% for [Fe/H] < -3.0, and 33% for [Fe/H] < -3.5. For the main-sequence turnoff stars, we obtain a lower cumulative CEMP frequency, around 10% for [Fe/H] < -2.5. The dwarf population displays a large change in the cumulative frequency for CEMP stars below [Fe/H] = -2.5, jumping from 15% for [Fe/H] < -2.5 to about 75% for [Fe/H] < -3.0. When we impose a restriction with respect to distance from the Galactic mid-plane (|Z| < 5 kpc), the frequency of the CEMP giants does not increase at low metallicity ([Fe/H] < -2.5), but rather, decreases, due to the dilution of C-rich material in stars that have undergone mixing with CNO-processed material from their interiors. The frequency of CEMP stars near the main-sequence turnoff, which are not expected to have experienced mixing, increases for [Fe/H] < -3.0. [abridged]Comment: 19 pages, 10 figures, 6 tables, accepted for publication in AJ on August 20, 201

Short Utterance Dialogue Act Classification Using a Transformer Ensemble

An influx of digital assistant adoption and reliance is demonstrating the significance of reliable and robust dialogue act classification techniques. In the literature, there is an over-representation of purely lexical-based dialogue act classification methods. A weakness of this approach is the lack of context when classifying short utterances. We improve upon a purely lexical approach by incorporating a state-of-the-art acoustic model in a lexical-acoustic transformer ensemble, with improved results, when classifying dialogue acts in the MRDA corpus. Additionally, we further investigate the performance on an utterance word-count basis, showing classification accuracy increases with utterance word count. Furthermore, the performance of the lexical model increases with utterance word length and the acoustic model performance decreases with utterance word count, showing the models complement each other for different utterance lengths

TB123: Experimental Application of B.t.i. for Larval Black Fly Control: Persistance and Downstream Carry, Efficacy, Impact on Non-target Invertebrates and Fish Feeding

In the summer of 1985 a field experiment was conducted in the Sugarloaf area of Maine on the use of B.t.i. to reduce the numbers of black fly larvae in the Carrabassett River and a tributary stream. The objectives were to determine the rate of application necessary to produce an acceptable reduction in black fly larvae, to study the fate and persistence of B.t.i. in a stream following application, to determine the impact of B.t.i. on the abundance and drift of non-target stream insects and on the feeding success and diet composition of fishes in the treated streams.https://digitalcommons.library.umaine.edu/aes_techbulletin/1083/thumbnail.jp