Description of Age-0 Round Goby, Neogobius melanostomus Pallas (Gobiidae), and Ecotone Utilisation in St. Clair Lowland Waters, Ontario

Early developmental stages and ecotone utilisation of the non-indigenous Round Goby, Neogobius melanostomus (Pallas, 1811), are described and illustrated. Fish (5-40 mm) were collected in coarse gravel, rocks and debris in the St. Clair River/Lake system, Ontario, in 1994-2000. The Round Goby hatches at about 5 mm with black eyes, flexed urostyle, and developed fins and digestive system. Distinguishing characters include large head, dorsolateral eyes, large fan-shaped pectoral fins, two dorsal fins, fused thoracic pelvic fins and a distinct black spot on the posterior of the spinous dorsal fin. Modal counts for preanal, postanal, and total myomeres were 12, 19, and 31, respectively

Environment and Distribution of Age 0 Fishes in River Canard, a Lowland Ontario River

Age 0 fishes were collected to determine occurrence, relative abundance and species composition at three sites in River Canard, Ontario in spring-autumn, 1994-1995. This small lowland river (mean annual discharge, 3.2 m3 s-1) has variable flow during fish spawning and early nursery periods, high suspended particulate load, and sparse rooted vegetation and other physical cover. Forty-two taxa (12 families; 24,544 specimens) collected with beach seines and a plankton net represented a wide range of reproductive strategies and a diverse taxocene. Gizzard Shad Dorosoma cepedianum (67% of total catch), Orangespotted Sunfish Lepomis humilis (8%), and Brook Silverside Labidesthes sicculus (6%) were the most abundant species. Environmental conditions were such that fish attained autumnal lengths comparable to species in various systems throughout the ecoregion

Integrating Communication and Engineering Skills in an Industrial Engineering Curriculum Based on Outcome Assessment Results

To bridge the gap between technical and communication skills of industrial engineering students at Iowa State University, faculty have focused assessment-driven continuous improvement in the curriculum on the integration of communication and engineering skills. Written, verbal, and non-verbal communication skills are addressed through the core communication process (Analysis, Formulation, Creation, Delivery, and Assessment): the focus of a new engineering communications course. This paper describes the creation of this course, including the impetus for inception, course content, structure, and outcome-based learning activities. Student growth and survey results are examined. Long term impact expectations and assessment plans are described

Shooting the Messenger

Eleven experiments provide evidence that people have a tendency to ‘shoot the messenger,’ deeming innocent bearers of bad news unlikeable. In a pre-registered lab experiment, participants rated messengers who delivered bad news from a random drawing as relatively unlikeable (Study 1). A second set of studies points to the specificity of the effect: Study 2A shows that it is unique to the (innocent) messenger, and not mere bystanders. Study 2B shows that it is distinct from merely receiving information that one disagrees with. We suggest that people’s tendency to deem bearers of bad news as unlikeable stems in part from their desire to make sense of chance processes. Consistent with this account, receiving bad news activates the desire to sense-make (Study 3A), and in turn, activating this desire enhances the tendency to dislike bearers of bad news (Study 3B). Next, stemming from the idea that unexpected outcomes heighten the desire to sense-make, Study 4 shows that when bad news is unexpected, messenger dislike is pronounced. Finally, consistent with the notion that people fulfill the desire to sensemake by attributing agency to entities adjacent to chance events, messenger dislike is correlated with the belief that the messenger had malevolent motives (Studies 5A, 5B, & 5C). Studies 6A & 6B go further, manipulating messenger motives independently from news valence to suggest its causal role in our process account: the tendency to dislike bearers of bad news is mitigated when recipients are made aware of the benevolence of the messenger’s motives

The Electronic and Superconducting Properties of Oxygen-Ordered MgB2 compounds of the form Mg2B3Ox

Possible candidates for the Mg2B3Ox nanostructures observed in bulk of polycrystalline MgB2 (Ref.1) have been studied using a combination of Z-contrast imaging, electron energy loss spectroscopy (EELS) and first-principles calculations. The electronic structures, phonon modes, and electron phonon coupling parameters are calculated for two oxygen-ordered MgB2 compounds of composition Mg2B3O and Mg2B3O2, and compared with those of MgB2. We find that the density of states for both Mg2B3Ox structures show very good agreement with EELS, indicating that they are excellent candidates to explain the observed coherent oxygen precipitates. Incorporation of oxygen reduces the transition temperature and gives calculated TC values of 18.3 K and 1.6 K for Mg2B3O and Mg2B3O2, respectively.Comment: Submitted to PR

HIghMass - High HI Mass, HI-Rich Galaxies at z∼0z\sim0: Combined HI and H2_2 Observations

We present resolved HI and CO observations of three galaxies from the HIghMass sample, a sample of HI-massive ($M_{HI} > 10^{10} M_\odot$), gas-rich ($M_{HI}$ in top $5\%$ for their $M_*$) galaxies identified in the ALFALFA survey. Despite their high gas fractions, these are not low surface brightness galaxies, and have typical specific star formation rates (SFR$/M_*$) for their stellar masses. The three galaxies have normal star formation rates for their HI masses, but unusually short star formation efficiency scale lengths, indicating that the star formation bottleneck in these galaxies is in the conversion of HI to H$_2$, not in converting H$_2$ to stars. In addition, their dark matter spin parameters ($\lambda$) are above average, but not exceptionally high, suggesting that their star formation has been suppressed over cosmic time but are now becoming active, in agreement with prior H$\alpha$ observations.Comment: 20 pages, 13 figure

How Context Affects Choice

Due to its origins in the literature on judgment and decision-making, context effects in marketing are construed exclusively in terms of how choices deviate from utility maximization principles as a function of how choices are presented (e.g., framing, sequence, composition). This limits our understanding of a range of other relevant context effects on choice. This paper broadens the scope of context effects to include social (e.g., with friends or family) and situational factors (e.g., location (home/store), time, weather).We define contexts as any factor that has the potential to shift the choice outcomes by altering the process by which the decision is made. We use this lens to integrate the psychology literature on habitual choice, System I and II decision-making, and a recent stream of empirical work that involves social and situational effects into the scope of context effects. We distinguish between exogenous and endogenous context effects, based on whether the decision-maker chooses the context. We then discuss issues of empirically identifying context effects when using either experimentally generated data or naturally occurring secondary data. We conclude with a discussion of trends and opportunities for new research on context effects

Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques

Understanding the multifaceted effects of climate change across diverse geographic locations is crucial for timely adaptation and the development of effective mitigation strategies. As the volume of scientific literature on this topic continues to grow exponentially, manually reviewing these documents has become an immensely challenging task. Utilizing Natural Language Processing (NLP) techniques to analyze this wealth of information presents an efficient and scalable solution. By gathering extensive amounts of peer-reviewed articles and studies, we can extract and process critical information about the effects of climate change in specific regions. We employ BERT (Bidirectional Encoder Representations from Transformers) for Named Entity Recognition (NER), which enables us to efficiently identify specific geographies within the climate literature. This, in turn, facilitates location-specific analyses. We conduct region-specific climate trend analyses to pinpoint the predominant themes or concerns related to climate change within a particular area, trace the temporal progression of these identified issues, and evaluate their frequency, severity, and potential development over time. These in-depth examinations of location-specific climate data enable the creation of more customized policy-making, adaptation, and mitigation strategies, addressing each region's unique challenges and providing more effective solutions rooted in data-driven insights. This approach, founded on a thorough exploration of scientific texts, offers actionable insights to a wide range of stakeholders, from policymakers to engineers to environmentalists. By proactively understanding these impacts, societies are better positioned to prepare, allocate resources wisely, and design tailored strategies to cope with future climate conditions, ensuring a more resilient future for all