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Most teachers need more experience with digital games and incorporating gamification elements into their classroom. This study covers the design and development of an online professional development (PD) on gamification for K-12 teachers. Findings from teachers’ perceptions on the implementation of the online PD will be shared. The impact of this online gamification PD can inform practitioners and researchers who plan to implement these strategies in their own classrooms or conduct similar studies.

Doxorubicin and other anthracyclines are crucial cancer treatment drugs. However, they are associated with significant cardiotoxicity, severely affecting patient care and limiting dosage and usage. Previous studies have shown that low carbon monoxide (CO) concentrations protect against doxorubicin toxicity. However, traditional methods of CO delivery pose complex challenges for daily administration, such as dosing and toxicity. To address these challenges, we developed a novel oral liquid drug product containing CO (HBI-002) that can be easily self-administered by patients with cancer undergoing doxorubicin treatment, resulting in CO being delivered through the upper gastrointestinal tract.

The genus Hypnea is well known to be rich in cryptic species, with many new species being recognized recently based on molecular data. Therefore, we used mitochondrial (COI-5P) and plastid (rbcL) molecular markers, in addition to aspects of morphology, to investigate the diversity of Hypnea on the coast of South Florida. Molecular divergences and phylogenetic inferences indicated that four species were present: H. caraibica and H. cryptica, both new occurrences on the Florida coast; H. musciformis, already previously reported and H. spiniformis sp. nov. described in this work. Our data reinforce the importance of studies with an integrative taxonomy approach to delimit species and correctly identify them.

Three new species of Vaccinium endemic to the island of Mindanao, Philippines are here described and illustrated. Vaccinium fallax most closely resembles V. myrtoides, but differs by having smaller leaves, caducous bracts, shorter pedicels, a broadly obconical hypanthium, broadly triangular calyx lobes, and a deep pink and broadly urceolate corolla. It grows on exposed areas and among sulfur vents at and near the summit of Mt. Apo. Vaccinium gamay most closely resembles V. gitingense, but differs in having shorter inflorescences, early caducous inflorescence bracts, shorter pedicels, presence of clavate glands on the hypanthium, and an absence of anther spurs. It grows on exposed areas in the ultramafic forest of Mt. Hamiguitan. It is one of only two Philippine Vaccinium species possessing distinctly callose-thickened calyx lobes, the other being V. gitingense. Vaccinium vomicum most closely resembles V. carmesinum, but differs by having smaller leaves, presence of glands on the extreme end of the leaf blade base, presence of clavate glands on the hypanthium, shorter stamens, and presence of stalked glands on the dentate apex of the tubules. It grows in the mossy rainforest of Mt. Kitanglad, and it is the only Philippine species of Vaccinium with glands on the extreme end of its leaf blade base. Following IUCN guidelines, we propose a conservation status of Critically Endangered for V. fallax, Endangered for V. gamay, and Data Deficient for V. vomicum. With these discoveries, the number of Vaccinium species in Mindanao Islands increases to 22 and in the Philippines to 44. Furthermore, the Mindanao Islands can now be considered the center of Vaccinium diversity in the Philippines.

With the increasing affordability of next-generation sequencing technologies, genotype-by-sequencing has become a cost-effective tool for ecologists and conservation biologists to describe a species’ evolutionary history. For host-parasite interactions, genotype-by-sequencing can allow the simultaneous examination of host and parasite genomes and can yield insight into co-evolutionary processes. The eastern oyster, Crassostrea virginica, is among the most important aquacultured species in the United States. Natural and farmed oyster populations can be heavily impacted by “dermo” disease caused by an alveolate protist, Perkinsus marinus. Here, we used restricted-site associated DNA sequencing (RADseq) to simultaneously examine spatial population genetic structure of host and parasite. We analyzed 393 single-nucleotide polymorphisms (SNPs) for P. marinus and 52,100 SNPs for C. virginica from 36 individual oysters from the Gulf of Mexico (GOM) and mid-Atlantic coastline. All analyses revealed statistically significant genetic differentiation between the GOM and mid-Atlantic coast populations for both C. virginica and P. marinus, and genetic divergence between Chesapeake Bay and the outer coast of Virginia for C. virginica, but not for P. marinus. A co-phylogenetic analysis confirmed significant coupled evolutionary change between host and parasite across large spatial scales. The strong genetic divergence between marine basins raises the possibility that oysters from either basin would not be well adapted to parasite genotypes and phenotypes from the other, which would argue for caution with regard to both oyster and parasite transfers between the Atlantic and Gulf of Mexico regions. More broadly, our results demonstrate the potential of RADseq to describe spatial patterns of genetic divergence consistent with coupled evolution.

We introduce a modified Jaynes-Cummings model with single-photon cavity radiationfield but with the atomic system instead of exchanging a single photon as in the Jaynes-Cummingsmodel, it exchanges instead a squeezed photon with squeezing parameter r. This allows us tointerpolate between the Rabi model (r = 8) and the Jaynes-Cummings model (r = 0) by varying r.The model exhibits a quantum phase transition. Accordingly, the quantum phase transitionrealized in the Rabi model, giving rise to superradiance, also occurs in the Jaynes-Cummingsmodel.

In income and wealth data modeling Pareto distribution and its several variants play an important role. Both univariate and multivariate variations of this model have been extensively used as a suitable model for various non-negative socio-economic variables, for pertinent details, see Arnold (2015). In this article, weconsider the most general Feller-Pareto (FP, in short) distribution, which subsumes all four types of Pareto distributions and show that it can be represented as a mixture of a conditional generalized gamma and an unconditional gamma distribution. Using this strategy, we consider a data augmentation based method (under the envelope of Bayesian paradigm) to estimate the parameters of the FP distribution. This mixture representation allows us to easily derive conditional Jeffery’s type non informative priors. For illustrative purposes, one data set is considered to exhibit the utility of the proposed method.

As the demand for business intelligence (BI) professionals continues to grow, educators need to calibrate their instruction to accommodate the demand of practitioners for specific technical skills while also providing college students with a broader foundation that includes a general understanding of BI concepts and problem-solving skills that are applicable across disciplines. This paper describes a pedagogical method called report-oriented learning which seeks to combine the established methods of problem-based learning and case-based learning. Report-oriented learning requires students to reflect on the knowledge gainedduring the conceptual parts of the course and use critical thinking and storytelling skills as they prepare and present several comprehensive reports in class. We applied the report-oriented method in a business intelligence course that consists of four instructional approaches: (1) section preview, (2) lectures and quizzes on basic concepts, (3) application of concepts and development of practical skills with hands-on projects, and (4) comprehensive reflection and inquiry in the form of reports. We surveyed students with anonymous questionnaires in the report-oriented BI courses from 2021-2023. The results indicate that themethod was effective and perceived by students as having improved their critical thinking and practical skills related to the application of BI techniques and the professional presentation of their findings.

At the Cary/Apex Water Treatment Facility in North Carolina, laboratory staff and sampling technicians perform over 100,000 water tests every year. This abundance of data is validated manually and analyzed with spreadsheets. This paper describes the process of designing, implementing, and evaluating a data visualization dashboard in PowerBI to help this water treatment facility effectively monitor the quality of the drinking water in their distribution system. The effectiveness of the dashboard was evaluated through surveys given to the project stakeholders. The feedback from these surveys showed that, overall, the users found the dashboard useful but would like to have real-time data updates.

Screening for adolescent sexual activity is a vital aspect of comprehensive pediatric care. Adolescents engage in risky sexual behaviors. Thus, a complete and accurate sexual health history can assist in the prevention and treatment of disease, prevention of unwanted pregnancy, treatment of existing diseases, and optimal planning of future healthcare for adolescents. Current evidence shows that provider-focused strategies improve the delivery of preventive services, including sexual health screenings. In this initiative, we assessed and examined pre- and post-screening rates for sexual activity among adolescents by advanced practice providers. This multi-site initiative was implemented in four school-based health centers and a school-linked center that included 2,102 unique patients ages 9 to 24 years. Our biphasic intervention included education for advanced practice providers and electronic health record modifications. Pre- and post-data collection was conducted to determine changes in the rate of screening for sexual activity during a primary care adolescent health visit over a 3-year period. Data were collected via retrospective medical chart review and analyzed in three time periods for comparison from 2018 to 2021. (Abstract continued in article)

Seagrasses are long-lived, clonal plants that can integrate fluctuations in environmental conditions over a range of temporal scales, from days to years, and can act as barometers of coastal change. There are many estimated seagrass traits and ecosystem parameters that have the potential to reflect ecosystem status, linking seagrass condition to natural and anthropogenic drivers of change. We identified five seagrass indicators and seven metrics that are suitable, affordable and frequently measured by 38 monitoring programs across the Gulf of Mexico (GoM). A specific set of ratings and assessment points were formulated for each measurable metric. We determined metric ratings (Acceptable, Concerning, Alarming) and validated assessment points using long-term monitoring data from Texas and Florida, coupled with existing literature and input from a panel of seagrass biologists. We reported scores using a blue-gray-orange (Acceptable-Concerning-Alarming) scale to summarize information in a format accessible to the public, resource managers, stakeholders, and policymakers. Seagrass percent cover, shoot allometry and species composition were sensitive indicators of large-scale climatic disturbances (droughts, hurricanes). Severe drought led to reductions in total seagrass cover and leaf length in Upper Laguna Madre, Texas, and Florida Bay; however, Syringodium filiforme was disproportionally affected in Texas while Thalassia testudinum beds responded strongly to drought impacts in Florida. Hurricanes Harvey (TX) and Irma (FL) also resulted in loss of seagrass cover and diminished leaf length in the Texas Coastal Bend and Florida Keys; both storms largely impacted T. testudinum and to a lesser extent, S. filiforme. Many of the metrics within these affected bays and basins received either a “Concerning” or “Alarming” rating, driven by the impacts of these disturbances. Our proposed indicators serve as a tool to evaluate seagrass condition at the bay or basin scale. Moreover

Oysters provide a suite of important ecosystem services, and recent research shows that oyster restoration rapidly enhances sedimentary organic carbon deposition. In 2012, an oyster reef enhancement project began in the GTM National Estuarine Research Reserve in Northeast FL, USA. We analyzed the spatial and downcore variability in sedimentary organic matter (OM) and particle sizes in the intertidal zone between the reefs and the marsh, along with oyster reef characteristics, to better understand physical and/or biological influences on sediment. Our data indicate that OM in the top 20 cm of sediment cores was negatively correlated with reef age. Similar decreases in particles <63 µm suggest remobilization of sediment, likely driven by the degradation of the reef structure over its approximately 9-year lifetime. Likewise, a survey of surface sediments showed that adjacent reef structural metrics were the best predictor of sediment OM and particle size. These results highlight the importance of reef structure as a control on sedimentary organic carbon deposition and stability in areas where physical energy is relatively high. This result is discussed in the context of implications for carbon budgets and biogeochemical ecosystem services of oysters as a part of living shorelines.

Transcranial direct current stimulation (tDCS) applied to the primary motor cortex (M1) improves motor learning in relatively simple motor tasks performed with the hand and arm. However, it is unknown if tDCS can improve motor learning in complex motor tasks involving whole-body coordination with significant endpoint accuracy requirements. The primary purpose was to determine the influence of tDCS on motor learning over multiple days in a complex over-hand throwing task. This study utilized a double-blind, randomized, SHAM-controlled, between-subjects experimental design. Forty-six young adults were allocated to either a tDCS group or a SHAM group and completed three experimental sessions on three consecutive days at the same time of day. Each experimental session was identical and consisted of overhand throwing trials to a target in a pre-test block, five practice blocks performed simultaneously with 20 min of tDCS, and a post-test block. Overhand throwing performance was quantified as the endpoint error. Transcranial magnetic stimulation was used to obtain motor-evoked potentials (MEPs) from the first dorsal interosseus muscle to quantify changes in M1 excitability due to tDCS. Endpoint error significantly decreased over the three days of practice in the tDCS group but not in the SHAM group. MEP amplitude significantly increased in the tDCS group, but the MEP increases were not associated with increases in motor learning. These findings indicate that tDCS applied over multiple days can improve motor learning in a complex motor tasks in healthy young adults.

Recent findings from comparative and evolutionary physiologists reveal novel insights into the regulation of inflammation and immune function under conditions of chronic-sustained and intermittent hypoxia. Comparative approaches provide a valuable gateway for discovering essential principals of physiology and adaptive molecular strategies utilized in nature that protect against clinically relevant stressors, which can guide therapeutic developments in biomedical science.

Using an autoethnographic approach, I discuss lessons from my role in a software-mediated localization of health information. I argue that the universalization of localizationsoftware disregards the uniqueness of languages involved in this project. The software did notrecognize idiosyncratic sound sequences and syllable structure of tonal languages like Ewe—aWest African language. I suggest some ways that global designers of localization software —andtechnical communicators in general—could redress the challenges of power in multilingualmeaning-making by seeing their work as part of a vigilant public intellectual practice that must be liquid, iterative, and regenerative.

A recurrence relation ansatz between annihilation operators applied to the hoppinginteraction term of the Jaynes-Cummings-Hubbard model (JCHM) reduces the JCHM to that ofthe ordinary Jaynes-Cummings model (JCM), albeit, with a boson energy depending on thehopping strength. This allows us to calculate the phase diagram for the Mott-to-superfluid phasetransition and the critical hopping strength as a function of the detuning.

Cerebellar transcranial direct current stimulation (tDCS) enhances motor skill and learning in relatively simple motor tasks, but it is unclear if c-tDCS can improve motor performance in complex motor tasks. The purpose of this study was to determine the influence of c-tDCS applied over multiple days on motor learning in a complex overhand throwing task. In a double-blind, randomized, between-subjects, SHAM-controlled, experimental design, 30 young adults were assigned to either a c-tDCS or a SHAM group. Participants completed three identical experiments on consecutive days that involved overhand throwing in a pre-test block, five practice blocks with concurrent c-tDCS, and a post-test block. Overhand throwing endpoint accuracy was quantified as the endpoint error. The first dorsal interosseous muscle motor evoked potential (MEP) amplitude elicited by transcranial magnetic stimulation was used to quantify primary motor cortex (M1) excitability modulations via c-tDCS. Endpoint error significantly decreased over the 3 days of practice, but the magnitude of decrease was not significantly different between the c-tDCS and SHAM group. Similarly, MEP amplitude slightly increased from the pre-tests to the post-tests, but these increases did not differ between groups. These results indicate that multi-day c-tDCS does not improve motor learning in an overhand throwing task or increase M1 excitability.

Morphological differences in the peripheral (sensory) and central (brain) nervous system may confer sensory and/or behavioral variation in elasmobranchs, both across taxa and throughout ontogeny. Over the last century, sea surface temperatures have increased over 0.5 °C and are predicted to rise 1–4 °C by the year 2100, potentially affecting species’ physiological performance negatively. As the nervous system of fishes grows continually throughout their lives, it may be highly plastic in response to environmental changes. This study examined the effects of increased rearing temperature on nervous system development in Port Jackson sharks (Heterodontus portusjacksoni). Egg cases (n = 21) were collected from Gulf St. Vincent (Adelaide, SA) and placed into either ambient (17.6 °C) or 3 °C above ambient seawater conditions through hatching and reared for up to five months post-hatch. Relative volumes of the eyes and nose (olfactory rosette) were quantified using magnetic resonance imaging, and relative brain size and size of major brain regions were compared between the two treatment groups. The size of the olfactory bulbs and tegmentum varied significantly between the treatment groups, which suggest differences in primary, secondary, or tertiary sensory processing and/or motor functions at elevated temperatures. While studies on acute responses to environmental conditions cannot inform true adaptation across broad timescales, understanding the effects of increased temperature on the brain phenotype can aid in predicting how elasmobranchs may fare in response to changing ocean conditions.

Book review of "Presidential Archivist: A Memoir" by David E. Alsobrook (Mercer, GA: Mercer University Press, 2020. 275 pp. Hardcover. $29.00. ISBN 978-0881467635). Review by Adina Riggins, Randall Library, University of North Carolina Wilmington, for The American Archivist. (The Reviews Portal is licensed under a Creative Commons Attribution-NonCommercial 3.0 United States License: https://creativecommons.org/licenses/by-nc/3.0/us/ )

Nutrient-driven cyanobacteria blooms are an increasingly common issue in freshwater environments, particularly in anthropogenically altered landscapes. As stormwater runoff is one of the largest sources of nutrients for freshwater bodies, stormwater retention ponds in urban and suburban areas are likely environments for harmful cyanobacteria blooms and were thus targeted for an in-depth investigation assessing taxonomic composition, bloom morphological composition, toxicity, and impact of nutrients and other environmental drivers. Eighty-seven algal blooms were sampled from 2019 to 2022 in the greater Wilmington, North Carolina, area. Physicochemical parameters were recorded, and blooms were classified by type (defined as surface mat, surface scum, water column distribution, or benthic mat) and dominant taxa. Blooms of potentially toxic cyanobacteria genera in the water column of stormwater retention ponds were most prevalent. Dissolved inorganic phosphorus was significantly related to chlorophyll-a, Microcystis bloom formation, and the production of microcystin. Seventeen potentially toxic cyanobacteria genera were identified in retention ponds, some of whose blooms demonstrated detectable microcystin. Monoclonal cultures isolated from some blooms were found to produce anabaenopeptin and saxitoxin. The results demonstrate a higher incidence of potentially toxic cyanobacteria over other bloom-forming taxa (chlorophytes, euglenoids, chrysophytes, dinoflagellates, and diatoms) in the 39 water bodies sampled. The frequency of blooms occurring in stormwater ponds and the diversity of potentially toxic cyanobacteria identified suggest such harmful blooms are likely widespread in similar freshwater environments across multiple urbanizing areas. The blooms sampled in this study were all within residential, commercial, or recreational areas easily accessible to people, presenting serious hazards to both environmental and public health.

Through a librarian-faculty partnership, we endeavored to teach information literacy through a large-scale applied learning project. We argue that a benefit of community-engaged research could be to teach information literacy, specifically dispositions that are difficult to teach in a traditional classroom context. We found that we were successful in helping students learn to consider contextual authority and to be more critical consumers of information as evidenced through both quantitative and qualitative data. We had mixed results on encouraging students to move away from defaulting to reliance on those sources they learned about as authoritative earlier in their education, though they were aware in most cases that these sources could also be biased and/or not the most appropriate source for the question.

A recently introduced recurrence-relation ansatz applied to the Jaynes-Cummings-Hubbard model is here applied to the Bose-Hubbard model that reduced the model to an easily soluble model. The results obtained for the two-point density correlations resemble somewhat those obtained recently also but in a much more complicated fashion. Our ansatz may be of value for the solution of many-body quantum mechanical problems.

A great diversity of crustacean zooplankton found in inland and coastal waters produce embryos that settle into bottom sediments to form an egg bank. Embryos from these banks can remain dormant for centuries, creating a reservoir of genetic diversity. A large body of literature describes the ecological and evolutionary importance of zooplankton egg banks. However, literature on the physiological traits behind dormancy in crustacean zooplankton are limited. Most data on the physiology of dormancy comes from research on one species of anostracan, the brine shrimp, Artemia franciscana. Anoxia-induced dormancy in this species is facilitated by a profound and reversible acidification of the intracellular space. This acidification is accompanied by a reversible depletion of adenosine triphosphate (ATP). The present study demonstrates that acidification of the intracellular space also occurs in concert with a depletion of nucleoside triphosphates (NTPs) in the Antarctic copepod, Boeckella poppei. Like A. franciscana, the depletion of NTPs and acidification are rapidly reversed during aerobic recovery in B. poppei. These data provide the first comparative evidence that extreme dormancy under anoxia in crustacean zooplankton is associated with intracellular acidification and an ability to recover from the depletion of ATP. (Creative Commons Licenses: http://creativecommons.org/licenses/by/4.0/ )

Theater review: Leopoldstadt. Longacre Theatre, New York City. Opening night 2 October 2022. Director: Patrick Marber

Dynamic color change has evolved multiple times, with a physiological basis that has been repeatedly linked to dermal photoreception via the study of excised skin preparations. Despite the widespread prevalence of dermal photoreception, both its physiology and its function in regulating color change remain poorly understood. By examining the morphology, physiology, and optics of dermal photoreception in hogfish (Lachnolaimus maximus), we describe a cellular mechanism in which chromatophore pigment activity (i.e., dispersion and aggregation) alters the transmitted light striking SWS1 receptors in the skin. When dispersed, chromatophore pigment selectively absorbs the short-wavelength light required to activate the skin’s SWS1 opsin, which we localized to a morphologically specialized population of putative dermal photoreceptors. As SWS1 is nested beneath chromatophores and thus subject to light changes from pigment activity, one possible function of dermal photoreception in hogfish is to monitor chromatophores to detect information about color change performance. This framework of sensory feedback provides insight into the significance of dermal photoreception among color-changing animals.

Addressing the global challenges of desertification, land degradation, and drought (DLDD), and their impacts on achieving sustainable development goals for coupled human-environmental systems is a key component of the 2030 Agenda for Sustainable Development. In particular, Sustainable Development Goal (SDG) 15.3 aims to, “by 2030, combat desertification, restore degraded land and soil, including land affected by desertification, drought and floods, and strive to achieve a land degradation-neutral world”. Addressing this challenge is essential for improving the livelihoods of those most affected by DLDD and for safeguarding against the most extreme effects of climate change. This paper introduces a conceptual framework for improved monitoring of DLDD in the context of United Nations Convention to Combat Desertification (UNCCD) Strategic Objective 2 (SO2) and its expected impacts: food security and adequate access to water for people in affected areas are improved; the livelihoods of people in affected areas are improved and diversified; local people, especially women and youth, are empowered and participate in decision-making processes in combating DLDD; and migration forced by desertification and land degradation is substantially reduced. While it is critical to develop methods and tools for assessing DLDD, work is needed first to provide a conceptual roadmap of the human dimensions of vulnerability in relation to DLDD, especially when attempting to create a globally standardized monitoring approach.

In fitting a continuous bounded data, the generalized beta (and several variants of this distribution) and the two-parameter Kumaraswamy (KW) distributions are the two most prominent univariate continuous distributions that come to our mind. There are some common features between these two rival probability models and to select one of them in a practical situation can be of great interest. Consequently, in this paper, we discuss various methods of selection between the generalized beta proposed by Libby and Novick (1982) (LNGB) and the KW distributions, such as the criteria based on probability of correct selection which is an improvement over the likelihood ratio statistic approach, and also based on pseudo-distance measures. We obtain an approximation for the probability of correct selection under the hypotheses HLNGB and HKW, and select the model that maximizes it. However, our proposal is more appealing in the sense that we provide the comparison study for the LNGB distribution that subsumes both types of classical beta and exponentiated generators (see, for details, Cordeiro et al. 2014; Libby and Novick 1982) which can be a natural competitor of a two-parameter KW distribution in an appropriate scenario

Organizations use intrusion detection systems (IDSes) to identify harmful activity among millions of computer network events. Cybersecurity analysts review IDS alarms to verify whether malicious activity occurred and to take remedial action. However, IDS systems exhibit high false alarm rates. This study examines the impact of IDS false alarm rate on human analyst sensitivity (probability of detection), precision (positive predictive value), and time on task when evaluating IDS alarms. A controlled experiment was conducted with participants divided into two treatment groups, 50% IDS false alarm rate and 86% false alarm rate, who classified whether simulated IDS alarms were true or false alarms. Results show statistically significant differences in precision and time on task. The median values for the 86% false alarm rate group were 47% lower precision and 40% slower time on task than the 50% false alarm rate group. No significant difference in analyst sensitivity was observed.

In building sustainable post-pandemic destinations, it is critical to understand the typologies of tourists’ prosocial behaviours. Consequently, this study innovatively applied a latent class cluster analysis to segment the prosocial behaviours of 403 Macau tourists. Three ordered discrete segments were derived based on consistent tourists’ probabilities of performing prosocial behaviours on the trip namely: the Self-centred, the Intermediate, and the Philanthropist. The associated ordered logistic regression predicting the segments revealed that relative to the Self-centred, the Intermediate and the Philanthropist are more likely to face death terror, are sociable – seek vacation friends – and believe in cultural and heritage conservation. Not only does this research expand the theoretical application of Terror Management Theory, the Scrooge effect, and the self-esteem concept, it contributes to prosocial alternative tourism with novel destination management implications for marketing and promoting prosocial tourism performance.

Integrating various tools in targeting mineral deposits increases the chance of adequate detection and characterization of mineralization zones. Selecting a convenient dataset is a key for a precise geological and hydrothermal alteration mapping. Remote sensing and airborne geophysical data have proven their efficiency as tools for reliable mineral exploration. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced land imager (ALI), Landsat 8 (L8), and Sentinel 2 data are widely-used data among various types of remote sensing images in resolving lithological and hydrothermal alteration mapping over the last two decades. ASTER is a well-established satellite in geological remote sensing with detailed Short-wave infrared (SWIR) range compared to visible and near-infrared region (VNIR) that controls iron-associated alteration detection. On contrary, ALI has excellent coverage of the VNIR area (6 bands), but does not possess the potentiality of ASTER for the SWIR and thermal regions. Landsat 8 is widely used and highly recommended for lithological and hydrothermal alteration mapping. The higher spatial (up to 10 m) resolution of Sentinel 2 MSI has preserved its role in producing accurate geological mapping. Notwithstanding the foregoing, implementing the four datasets in a single study is time-consuming. Thus, an important question when commencing an exploration project for hydrothermal alterations-related mineralization (orogenic mineral deposits in the current research) is: which dataset should be adopted to fulfill proper and adequate outputs? Here the four widely recommended datasets (ASTER, ALI, L8, and sentinel 2) have been tested by applying the widely-accepted techniques (false color combinations, band ratios, directed principal component analysis, and constrained energy minimization) for geological and hydrothermal alteration mapping of Gabal El Rukham-Gabal Mueilha district, Egypt. The study area is covered mainly by Neoproterozoic h

Stakeholder analysis is a methodology that can provide valuable insights about a phenomenon. Information systems and information technology researchers have utilized stakeholder analysis to understand and learn from successes, failures, and other aspects of IS/IT initiatives. In this tutorial, we provide guidelines for conducting a stakeholder analysis currently missing in the IS/IT discipline despite being called for a long time. For our analysis, we review and combine studies from within the IS/IT discipline with work in organizational and strategic management and public policy. Our guidelines start with determining who the stakeholders are related to a phenomenon and what key concerns these stakeholders have about the phenomenon. In the next step, we relate stakeholders to one another and across the key concerns and point out how to identify possible coalitions. Last, we describe how to apply these findings to determine strategies for managing stakeholders or build theory around a phenomenon and its concerns. These final steps can be used to make policy recommendations, provide guidance for IS/IT-related initiatives, or present constructs and relationships that can be tested by future researchers. We demonstrate the applicability of our guidelines with a case study about broadband availability in rural North Carolina.

In February 2023, UNCW held its second iteration of Love Data Week, an annual international celebration of data organized by the social science data repository ICPSR . The aim of this year’s final report is an addendum to the Love Data Week 2022 final report (https://libres.uncg.edu/ir/uncw/listing.aspx?styp=ti&id=37358)—to show how a second iteration differs from a pilot year of a program. This report will reflect upon what was done differently or the same, and whether these decisions made positive impacts on the success—and, hopefully, the future success—of the program at UNCW. It will delve into sustainability, given that the experimentation and chaos of planning a program once it has already been done previously is different than that of trying to figure out how to even do a pilot year.

The development of a shared instructional identity at our library involved a collaborativeeffort among research and instructional team leaders, instruction librarians, and teachingfaculty. We took advantage of a time of change and growth at our institution to systematically reimagine our expectations and practices, solidifying a multipronged approach toinformation literacy instruction that involved experimentation and risk-taking, partnerships across campus, and buy-in from instruction librarians and teaching faculty alike.

This article proposes an analytical framework that highlights embodiment’s ontological complexities and the ways in which the securitization of the body, during the COVID-19 pandemic, brought our embodied existence under the scrutiny of the invasive gaze of multiple social authorities, framing public and private modes of being as existential security risks. It engages with the research developed by psychiatrist Iain McGilchrist and clinical psychologist Louis A. Sass on schizophrenia, tracing the extent to which COVID-19 reshaped reality displays a dynamic akin to this mental disorder, through its abnegation of embodied presence, retreat into virtual register, and abnormal interpretations of reality. To spotlight this dynamic’s consequences, the article explores three interconnected features of schizophrenia, namely hyper-reflexivity, diminished self-presence, and disturbed grip on the world. These help to contextualize the ways in which a large segment of the population in the United States responded to the COVID-19 pandemic. To that end, the article highlights the development of a virtual universe of conspiracy theories, shaping a citizenry which, akin to schizophrenics are simultaneously cynical and gullible, manifesting a vehement distrust of aspects of life that need to be implicit, while readily embracing conspiratorial worldviews.

This is an analysis of Oswaldian philosophy connected to postmodern critical perspectives. The texts Anthropophagous Manifesto, The Messianic Philosophy Crisis and An Anthropophagic Aspect of Brazilian Culture: The Cordial Man show how the patriarchal individualism is replaced with the Anthropophagic/ Matriarchal as an embodiment of the “feeling of the other.”

Evaluating and validating satellite sea surface salinity (SSS) measurements is fundamental. There are two types of errors in satellite SSS: measurement error due to the instrument’s inaccuracy and problems in retrieval, and sampling error due to unrepresentativeness in the way that the sea surface is sampled in time and space by the instrument. In this study, we focus on sampling errors, which impact both satellite and in situ products. We estimate the sampling errors of Level 3 satellite SSS products from Aquarius, SMOS and SMAP, and in situ gridded products. To do that, we use simulated L2 and L3 Aquarius, SMAP and SMOS SSS data, individual Argo observations and gridded Argo products derived from a 12-month high-resolution 1/48? ocean model. The use of the simulated data allows us to quantify the sampling error and eliminate the measurement error. We found that the sampling errors are high in regions of high SSS variability and are globally about 0.02/0.03 psu at weekly time scales and 0.01/0.02 psu at monthly time scales for satellite products. The in situ-based product sampling error is significantly higher than that of the three satellite products at monthly scales (0.085 psu) indicating the need to be cautious when using in situ-based gridded products to validate satellite products. Similar results are found using a Correlated Triple Collocation method that quantifies the standard deviation of products’ errors acquired with different instruments. By improving our understanding and quantifying the effect of sampling errors on satellite-in situ SSS consistency over various spatial and temporal scales, this study will help to improve the validation of SSS, the robustness of scientific applications and the design of future salinity missions.

Much prior research explores the relationship between nonprofit location and various community and market characteristics to determine whether citizen demand drives nonprofit supply. As a widely used “policy tool” of government, nonprofits are expected to be responsive to the needs of the communities they serve. However, results are mixed and it remains unclear whether nonprofit markets are ideally distributed. This article builds on previous scholarship by: first, improving the market characteristics under examination; second, introducing multidimensional constructs for modeling community need; third, applying methodologies that account for spatial dependencies; and fourth, replicating the sector-wide analysis in two nonprofit subsectors. Results indicate consistency across subsector and suggest greater nonprofit supply in areas with less even markets and greater population. Contrary to popular conception, findings indicate evidence of less nonprofit supply in areas with greater demand and some potential “crowding-in” where nonprofit supply rises coincident with for-profit supply.

The sea surface salinity (SSS) maximum of the South Indian Ocean (the SISSS-max) is a high-salinity feature centered at 30°S, 90°E, near the center of the South Indian subtropical gyre. It is located poleward of a region of strong evaporation and weak precipitation. Using several different satellites and in situ data sets, we track changes in this feature since the early 2000s. The centroid of the SISSS-max moves seasonally north and south, furthest north in late winter and farthest south in late summer. Interannually, the SISSS-max has moved on a northeast-southwest path about 1,500 km in length. The size and maximum SSS of the feature vary in tandem with this motion. It gets larger (smaller) and saltier (fresher) as it moves to the northeast (southwest) closer to (further from) the area of strongest surface freshwater flux. The area of the SISSS-max almost doubles from its smallest to largest extent. It was maximum in area in 2006, decreased steadily until it reached a minimum in 2013, and then increased again. The seasonal variability of the SISSS-max is controlled by the changes that occur on its poleward, or southern, side, whereas interannual variability is controlled by changes on its equatorward side. The variations in the SISSS-max are a complex dance between changes in evaporation, precipitation, wind forcing, gyre-scale ocean circulation, and downward Ekman pumping. Its motion correlated with SSS changes throughout the South Indian Ocean and may be an indicator of changes in the basin's subtropical circulation.

Satellite validation is the process of comparing satellite measurements with in-situ measurements to ensure their accuracy. Satellite and in-situ sea surface salinity (SSS) measurements are different due to instrumental errors (IE), retrieval errors (RE), and representation differences (RD). In real-world data, IE, RE, and RD are inseparable, but validations seek to quantify only instrumental and retrieval error. Our goal is to determine which of four methods comparing in-situ and satellite measurements minimizes RD most effectively, which includes differences due to mismatches in the location and timing of the measurement, as well as representation error caused by the averaging of satellite measurements over a footprint. IE and RE were obviated by using simulated Argo float, and L2 NASA/SAC-D Aquarius, NASA·SMAP, and ESA·SMOS data generated from the high-resolution ECCO (Estimating the Climate and Circulation of the Oceans) model SSS data. The methods tested include the all-salinity difference averaging method (ASD), the N closest method (NCLO), which is an averaging method that is optimized for different satellites and regions of the ocean, and two single salinity difference methods—closest in space (SSDS) and closest in time (SSDT). The root mean square differences (RMSD) between the simulated in-situ and satellite measurements in seven regions of the ocean are used as a measure of the effectiveness of each method. The optimization of NCLO is examined to determine how the optimum matchup strategy changes depending on satellite track and region. We find that the NCLO method marginally produces the lowest RMSD in all regions but invoking a regionally optimized method is far more computationally expensive than the other methods. We find that averaging methods smooth IE, thus perhaps misleadingly lowering the detected instrumental error in the L2 product by as much as 0.15 PSU. It is apparent from our results that the dynamics of a particular region have more of an e

Literature examining the impact of nonprofit financing and operational characteristics on donations is replete with studies that yield mixed and/or contradictory results. Contributing to this dearth of clarity are the limitations of relying on IRS Form 990 information as the primary data for this scholarship. Unlike audited financial statements or other types of financial reporting, Form 990 data do not discriminate between restricted and unrestricted donations. We address these limitations by exploring an underutilized database in the nonprofit literature that focuses on institutions of higher education to parse restricted and unrestricted donations. Results indicate that several financing and operational variables have disparate impacts on restricted and unrestricted donations, both absolutely and in relation to one another. Specifically, the proportion of revenue from government, leverage, age, and whether the university has a hospital or is a seminary show different relationships with total donations than they do with restricted and unrestricted donations separately. We also find that fundraising, program services revenue, prior year's donations, leverage, and whether the university has a hospital or is a seminary impacts the ratio of restricted to unrestricted donations. Literature that only looks at these factors on total donations is failing to capture whether nonprofit managers pursue different donative revenue streams and the extent to which donors reward them. This research note offers an initial examination of the nuance in the different types of donative returns in one dataset, and serves as a call to other scholars to look beyond Form 990 data for this scholarship.

A study of thrift in the Nation of Islam refines our understanding of the frugality discourse byfocusing on eschatology rather than personal piety. Thrift for Elijah Muhammad, leader of theNation from 1934 until 1975, constituted the means not to reform society but to overthrow it and usher in the end of history. Muhammad and his followers employed thrift both to promote personal spiritual health and achieve certain social aims. However, Muhammad looked forward to a time when thrift would both catalyze the apocalypse and simultaneously cease as a moral imperative.

Our study proposes the use of a free classification task for investigating the dimensions used by listeners in their perception of nonnative sounds and for predicting the perceptual discriminability of nonnative contrasts. In a free classification task, participants freely group auditory stimuli based on their perceived similarity. The results can be used to predict discriminability and can be compared to various acoustic or phonological dimensions to determine the relevant cues for listeners. The viability of this method was examined for both a segmental contrast (German vowels) and a nonsegmental contrast (Finnish phonemic length). Perceptual similarity data from the free classification task accurately predicted discriminability in an oddity task and separately provided rich information on how the perceptual space is shaped. These results suggest that a free classification task and related analyses are informative and replicable methods for examining nonnative speech perception.

Purpose: To describe nine youth soccer coaches’ pedagogical responses to the implementation of the new guidelines on heading introduced by the United States Soccer Federation. The specific research questions we attempted to answer were: (a) What were the coaches’ perspectives and practices regarding the coaching of heading? and (b) What factors shaped the coaches’ perspectives and practices? Method: The theoretical framework employed was occupational socialization. Data were collected using four qualitative techniques and reduced to themes using analytic induction and constant comparison. Findings: Key findings were that the coaches fell into one of three groups: rejectors, acceptors, and skeptics. Differences in the coaches’ acculturation, professional socialization, and organizational socialization were responsible for the coaches’ differing responses to the new guidelines on heading. Conclusions: Should they transfer to other coaches, these findings should help coach educators to develop stronger programs.

Background: Cardiometabolic disease (CMD) risk often begins early in life. Healthy lifestylebehaviors can mitigate risk, but the optimal combination of behaviors has not been determined. This cross-sectional study simultaneously examined the associations between lifestyle factors (fitness, activity behaviors, and dietary patterns) and CMD risk in preadolescent children. Methods: 1480 New Zealand children aged 8–10 years were recruited. Participants included 316 preadolescents (50% female, age: 9.5 ± 1.1 years, BMI: 17.9 ± 3.3 kg/m2). Fitness (cardiorespiratory fitness [CRF], muscular fitness), activity behaviors (physical activity, sedentary, sleep), and dietary patterns were measured. Factor analysis was used to derive a CMD risk score from 13 variables (adiposity, peripheral and central hemodynamics, glycemic control, and blood lipids). Results: Only CRF (ß = -0.45, p < 0.001) and sedentary time (ß = 0.12, p = 0.019) were associated with the CMD risk score in the adjustedmultivariable analysis. CRF was found to be nonlinear (VO2 max = ˜42 mL/kg/min associatedwith higher CMD risk score), and thus a CRF polynomial term was added, which was also associated (ß = 0.19, p < 0.001) with the CMD risk score. Significant associations were not found with sleep or dietary variables. Conclusion: The findings indicate that increasing CRF and decreasing sedentary behavior may be important public health targets in preadolescent children.

This research article explores the concept of the Rights of Nature by reviewing survey results from undergraduate students at the University of North Carolina Wilmington (UNCW) on their perception of the Rights of Nature. The Rights of Nature are defined as nature having the same right to exist as humans (Harden-Davis et al., 2020). This study found how receptive undergraduate students are to the term Rights of Nature by analyzing their answers to a list of questions, both multiple choice and short answers. The research findings concluded that students at UNCW agree with the theoretical conceptualization of the Rights of Nature. However, they think it is politically infeasible as a solution to environmental problems.

The economic fallout from the COVID-19 pandemic has been devastating. Job losses, negative growth rates, and increased poverty have all followed rising infection rates. The economic costs have been especially challenging for many piracy-prone countries. The international monetary fund anticipates sizable unemployment increases in many Indo-Pacific countries. Deeper and more durable economic damage may materialize in some West African countries. Often, negative economic shocks produce surges in crime, both on land and at sea. The present study evaluates the effects of COVID-19 on maritime pirate attacks in two countries, Nigeria, located in the Gulf of Guinea, and Indonesia, located in the Indo-Pacific. We employ monthly and quarterly data on government measures to prevent infection, sea-piracy incidents, and economic conditions to explore whether the subsequent economic fallout produced more maritime crime. We do not find clear evidence of this relationship in Indonesia. However, COVID-19-induced stringency measure does appear to have increased sea-piracy incidents in Nigeria.

The GlueX experiment at Jefferson Lab studies photoproduction of mesons using linearly polarized 8.5 GeV photons impinging on a hydrogen target which is contained within a detector with near-complete coverage for charged and neutral particles. We present measurements of spin-density matrix elements for the photoproduction of the vector meson ?(770). The statistical precision achieved exceeds that of previous experiments for polarized photoproduction in this energy range by orders of magnitude. We confirm a high degree of s-channel helicity conservation at small squared four-momentum transfer t and are able to extract the t-dependence of natural and unnatural-parity exchange contributions to the production process in detail. We confirm the dominance of natural-parity exchange over the full t range. We also find that helicity amplitudes in which the helicity of the incident photon and the photoproduced ?(770) differ by two units are negligible for -t<0.5GeV2/c2.

Review of the following essays: - Are We There Yet? Computers and the Teaching of Writing in American Higher Education–Twenty Years Later, by Jennifer Marlow and James P. Purdy. Computers and Composition Digital Press, 2021. - Video Scholarship and Screen Composing, by Daniel Anderson. University of Michigan Press, 2021. - 100 Years of New Media Pedagogy, by Jason Palmeri and Ben McCorkle. University of Michigan Press, 2021.

We introduce the set of n-photon coherent states and the set of n-photon squeezed coherent states and study their collapse and revival and compare their behavior with the collapse and revival of the corresponding zero-photon coherent states and zero-photon squeezed coherent states, respectively. The set of n-photon squeezed coherent states (n = 0, 1, 2, ···) forms a basis ofthe Hilbert state of photons and may be of some interest. We notice that the presence of a few extra photons in the n-photon states as compared to the corresponding zero-photon states makes a large difference in the behavior of their collapse and revival. This indicates the large effect that a few extra photons make in the n-photon states as compared to the corresponding zero-photon states in their collapse and revival.

We visit a previously proposed discontinuous, two-parameter generalization of thecontinuous, one-parameter logistic map and present exhaustive numerical studies of the behavior for different values of the two parameters and initial points x 0 . In particular, routes to chaos exist that do not exhibit period-doubling whereas period-doubling is the sole route to chaos in the logistic map. Aperiodic maps are found that lead to cobwebs with x = ±8 as accumulation points, where every neighborhood contains infinitely many points generated by the map.