Attitudes of the Indian Middle Class: A Theory of Planned Behavior Approach

The author conducts a pilot study to investigate whether the benefits of global marketing and the purported liberal policies of the Government of India have percolated to the Indian middle-class since the year 2014, when the present government came to power. The author collects data through online surveys from Indian citizens, and then conducts a qualitative analysis of the same to test six propositions based on Maslow’s Hierarchy of Needs Model and the Theory of Reasoned Action. The author finds moderate to strong support for five of his propositions and sets the stage for a more robust research study that the author is planning to conduct on this highly relevant topic. Keywords: globalization, consumer experience, marketing strategy, political marketing

Industrial Pollution, Social Trust, and Civic Engagement: A Nationwide Study of the Socioenvironmental Nature of Social Capital

I conduct a nationwide investigation of the relationship that toxic industrial pollution and the facilities that produce it have with trust and civic engagement within communities. Data on pollution exposure come from the Risk-Screening Environmental Indicators Geographic Microdata (RSEI-GM) and Toxic Release Inventory (TRI) data sets for the years 1995 to 1999. Data on trust and civic engagement come from the 2000 restricted-access Social Capital Community Benchmark Survey (SCCBS). Statistical analyses provide strong support for Freudenburg and Jones’ conceptualization of corrosive communities and indicate that exposures to more toxic air pollution associate negatively with various measures of trust, and that increased numbers of TRI facilities associate negatively with various measures of civic engagement. The implication is that exposure to toxic industrial air pollution and the facilities that produce it not only adversely affect the physical health of nearby communities, but also their social well-being and underlying capacities for collective action.

Rhapsody in emerald: phylogenetic framework for Lestidae with reference to the systematic position of Chalcolestes Kennedy

We reconstruct a phylogenetic framework for the zygopteran family Lestidae based on a molecular dataset comprised of sequence data from the genes COI, 16S, 18S, 28S, and ITS1+2 from 41 ingroup taxa and 8 outgroup taxa with emphasis on the systematic position of the genus Chalcolestes Kennedy. We recover Lestidae as monophyletic with good statistical support. The family falls into two subequal clades. One, comprising the genus Sympecma Burmeister and Lestes Leach sensu lato (including the genus Archi­lestes Selys) is poorly to moderately supported. While the other, comprising the genera Austrolestes Tillyard, Indolestes Fraser, Orolestes McLachlan, and Chalcolestes is strongly supported. Chalcolestes is recovered as sister to the Oriental genus Orolestes with strong support. Our results thus support that Chalcolestes is a valid genus not closely related to Lestes. Monophyly of Lestes requires inclusion of the New World genus Archilestes, and our results support the need for a thorough revision of Lestes.

Analysis of the Correlation between Emerging Industry Development and University Students’ Entrepreneurship Based on Big Data

With the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college graduates for independent entrepreneurship, college students’ entrepreneurship is constantly integrated with the development of strategic emerging industries. Based on this background, aiming at the practical problems of the development of strategic emerging industries, this study innovatively puts forward the method of using big data technology and GM model to realize the dynamic model analysis of the development of strategic emerging industries and college students’ entrepreneurial behavior. This article analyzes the correlation between dynamic big data such as industrial scale, industrial market, and industrial direction of local strategic emerging industries and university entrepreneurship, so as to provide theoretical support for the development strategy of strategic emerging industries. Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. Experiments show that the big data integration system established by GM correlation analysis and ant colony Elman regression artificial neural network has high accuracy and can well identify the priority relevance of the industrial direction of strategic emerging industries to college students’ entrepreneurship. It provides theoretical support for regional policy makers to better formulate college students’ entrepreneurship strategy and the development plan of emerging industries.

You can’t “count” how many items people remember in working memory: The importance of signal detection-based measures for understanding change detection performance

Change detection tasks are commonly used to measure and understand the nature of visual working memory capacity. Across two experiments, we examine whether the nature of the latent memory signals used to perform change detection are continuous or all-or-none, and consider the implications for proper measurement of performance. In Experiment 1, we find evidence from confidence reports that visual working memory is continuous in strength, with strong support for equal variance signal detection models. We then tested a critical implication of this result without relying on model comparison or confidence reports in Experiment 2 by asking whether a simple instruction change would improve performance when measured with K, an all-or-none-measure, compared to d’, a measure based on continuous strength signals. We found strong evidence that K values increased by roughly 30% despite no change in the underlying memory signals. By contrast, we found that d’ is fixed across these same instructions, demonstrating that it correctly separates response criterion from memory performance. Overall, our data call into question a large body of work using threshold measures, like K, to analyze change detection data since this metric confounds response bias with memory performance in standard change detection tasks.

Expanding the geographical distribution of Blastobotrys malaysiensis (Saccharomycetales) beyond the Asian continent – a cave fungus first reported in the Americas

Saccharomycetales are ascomycetic yeasts and among them the genus Blastobotrys has approximately 30 known species. Blastobotrys malaysiensis is a yeast species, described from cave samples, known until then only from Malaysia. In this study, we characterize a new strain and report the second occurrence record of this species. Here, Blastobotrys malaysiensis SXS675, was collected from soil samples from a cave in the Parque Estadual de Terra Ronca (PETER) in Goiás, Brazil. Phylogenetic analyzes revealed strong support with the sequence of the species type, as well as with other species of the clade. This new record contributes by providing new molecular data for the species and expanding the knowledge of its distribution beyond the Asian continent. First record of a yeast for the American continent and its second mention for the world.

Transcriptome-based phylogeny of the semi-aquatic bugs (Hemiptera: Heteroptera: Gerromorpha) reveals patterns of lineage expansion in a series of new adaptive zones

Key innovations enable access to new adaptive zones and are often linked to increased species diversification. As such, they have attracted much attention, yet their concrete consequences on the subsequent evolutionary trajectory and diversification of the bearing lineages remain unclear. The monophyletic group of water striders and relatives (Hemiptera: Heteroptera: Gerromorpha) represent a group of insects that transited to live on the water-air interface and diversified to occupy ponds, puddles, streams, mangroves and even oceans. This lineage offers an excellent model to study the patterns and processes underlying species diversification following the conquest of new adaptive zones. However, such studies require a reliable and comprehensive phylogeny of the infraorder. Based on whole transcriptomic datasets of 97 species and fossil records, we reconstructed a new phylogeny of the Gerromorpha that resolved inconsistencies and uncovered strong support for previously unknown relationships between some important taxa. We then used this phylogeny to reconstruct the ancestral state of a set of adaptations associated with water surface invasion (fluid locomotion, dispersal and transition to saline waters) and sexual dimorphism. Our results uncovered important patterns and dynamics of phenotypic evolution revealing how the initial event of water surface invasion enabled multiple subsequent transitions to new adaptive zones, representing distinct niches of water surfaces, and further diversification of the group. This phylogeny and the associated transcriptomic datasets constitute highly valuable resources, making Gerromorpha an attractive model lineage to study phenotypic evolution.

The Morphological Characteristics and Phylogenetic Analyses Revealed an Additional Taxon in Heteroradulum (Auriculariales)

Auriculariales is diverse, embracing a number of corticioid, poroid, and hydnoid genera. The present study covers a new wood-inhabiting fungal species of Heteroradulum niveum sp. nov that is proposed on the basis of a combination of morphological features and molecular evidence. The species is characterized by the resupinate basidiomata, a monomitic hyphal system with generative hyphae with clamp connections; tubular cystidia; two- to four-celled basidia; and allantoid, colorless, thin-walled, smooth, IKI–, CB–, basidiospores (6.5–13.5 × 2.7–5.5 µm). Sequences of ITS and nLSU rRNA gene regions of the specimens were generated, and phylogenetic analyses were carried out with methods of maximum parsimony, maximum likelihood, and Bayesian inference. These phylogenetic analyses inferred from ITS+nLSU indicated that H. niveum is nested in Heteroradulum within Auriculariales. Further study within Heteroradulum on the basis of ITS+nLSU dataset revealed that it formed a monophyletic lineage with a strong support (100% BS, 100% BP, 1.00 BPP) and then grouped with H. yunnanensis.

Misinterpretation of Genomic Data Matters for Endangered Species Listing: The Sub-specific Status of the Peñasco Least Chipmunk (Neotamias minimus atristriatus)

We provide a response to a recently published evaluation of the subspecies status of the Peñasco least chipmunk (Neotamias minimus atristriatus). The work we discuss used exon capture genomic approaches and concluded that their results did not support the distinction of this taxon as a subspecies, with recommendation that it be synonymized with N. m. operarius. We refute the interpretations, conclusions, and taxonomic recommendations of this study, and explain in clearer terms how to interpret genomic analyses for applied management. We identify four broad conceptual issues that led to errant recommendations: (1) interpretation of subspecies and diagnosability, (2) inappropriate use of reciprocal monophyly as a criterion for subspecies, (3) importance of geographic isolation, and (4) error in hypothesis testing and misinterpretation of results. We conclude that the data from this genomic appraisal add to information from prior studies providing strong support for recognition of N. m. atristriatus as a subspecies. Our conclusions have important and immediate implications for the proposed listing of N. m. atristriatus as an endangered species under the U.S. Endangered Species Act.

Do Local Newspapers Mitigate the Effects of the Polarized National Rhetoric on COVID-19?

This analysis tests two distinct predictions regarding local newspapers’ coverage of the COVID-19 pandemic in the United States. A public service view of local newspapers predicts that a robust local newspaper sector would mitigate the politicized national partisan rhetoric surrounding COVID-19; reducing the disparity in social-distancing behaviors between predominantly Republican and predominantly Democratic counties by increasing compliance in Republican counties. The alternative hypothesis, informed by a demand-side view of the market pressures local newspapers face, predicts that increased competition between local newspapers will increase the degree to which local newspapers amplify the rhetoric of national officials in line with the partisan composition of their community, further polarizing adherence to social-distancing behaviors across predominantly Republican versus predominantly Democratic counties. The results of this analysis offer strong support for the second hypothesis; but, an additional analysis of vaccination rates offers a more nuanced perspective than a simple public service versus demand-side dichotomy would imply.