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539 result(s) for "Spangler, D."
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Advancing predictive modeling in archaeology: An evaluation of regression and machine learning methods on the Grand Staircase-Escalante National Monument
Predictive models are central to both archaeological research and cultural resource management. Yet, archaeological applications of predictive models are often insufficient due to small training data sets, inadequate statistical techniques, and a lack of theoretical insight to explain the responses of past land use to predictor variables. Here we address these critiques and evaluate the predictive power of four statistical approaches widely used in ecological modeling-generalized linear models, generalized additive models, maximum entropy, and random forests-to predict the locations of Formative Period (2100-650 BP) archaeological sites in the Grand Staircase-Escalante National Monument. We assess each modeling approach using a threshold-independent measure, the area under the curve (AUC), and threshold-dependent measures, like the true skill statistic. We find that the majority of the modeling approaches struggle with archaeological datasets due to the frequent lack of true-absence locations, which violates model assumptions of generalized linear models, generalized additive models, and random forests, as well as measures of their predictive power (AUC). Maximum entropy is the only method tested here which is capable of utilizing pseudo-absence points (inferred absence data based on known presence data) and controlling for a non-representative sampling of the landscape, thus making maximum entropy the best modeling approach for common archaeological data when the goal is prediction. Regression-based approaches may be more applicable when prediction is not the goal, given their grounding in well-established statistical theory. Random forests, while the most powerful, is not applicable to archaeological data except in the rare case where true-absence data exist. Our results have significant implications for the application of predictive models by archaeologists for research and conservation purposes and highlight the importance of understanding model assumptions.
Discovering the anticancer potential of non-oncology drugs by systematic viability profiling
Anticancer uses of non-oncology drugs have occasionally been found, but such discoveries have been serendipitous. We sought to create a public resource containing the growth-inhibitory activity of 4,518 drugs tested across 578 human cancer cell lines. We used PRISM (profiling relative inhibition simultaneously in mixtures), a molecular barcoding method, to screen drugs against cell lines in pools. An unexpectedly large number of non-oncology drugs selectively inhibited subsets of cancer cell lines in a manner predictable from the molecular features of the cell lines. Our findings include compounds that killed by inducing phosphodiesterase 3A-Schlafen 12 complex formation, vanadium-containing compounds whose killing depended on the sulfate transporter SLC26A2, the alcohol dependence drug disulfiram, which killed cells with low expression of metallothioneins, and the anti-inflammatory drug tepoxalin, which killed via the multidrug resistance protein ATP-binding cassette subfamily B member 1 (ABCB1). The PRISM drug repurposing resource (https://depmap.org/repurposing) is a starting point to develop new oncology therapeutics, and more rarely, for potential direct clinical translation.Golub and colleagues tested thousands of drugs not originally developed for oncology across 578 human cancer cell lines, revealing growth-inhibitory effects and providing a resource to identify drugs with the potential to be repurposed for cancer.
Epidemiology of globe injury repair mechanisms in the TriNetX US collaborative network database: retrospective cohort study
Background To analyze demographics, incidence, and prevalence of globe injury repair mechanisms in the TriNetX United States population from 2013 to 2023. Methods Retrospective cohort study of globe injury repair mechanisms in the TriNetX United States Collaborative Network database from 2013 to 2023. CPT codes from the ICD-10 classification system were utilized to identify repair methods for globe injuries (65275, 65280, 65285, 65286). Demographics were analyzed using two-factor ANOVA for age and chi-squared tests for race, ethnicity, and sex. Incidence and prevalence were analyzed yearly and cumulatively. Results Of the 119,347,853 subjects in TriNetX, 231,286 cases of globe injuries were identified. Demographics varied by repair category for age and sex ratios. An ANOVA showed a significant difference between age distribution over the four subtypes (mean age 47.2 ± 21.6 years, p  < 0.001). The most common procedure was repair of non-perforating corneal lacerations with or without foreign body removal ( n  = 182,193) and was the only cohort with a female-predominant population ( n  = 119,990; 65.89%). Chi-squared tests revealed significant differences by sex ( p  < 0.001), ethnicity ( p  < 0.001), and race ( p  < 0.001). Incidence showed variation from 2013 to 2019; however, a large decrease in incidence was noted from 2019 to 2021. Conclusions Our findings align with previous research indicating decreased globe injury incidence during the SARS-CoV-2 pandemic, except for perforating corneal and/or scleral lacerations without uveal tissue involvement. Our study reveals a shift towards higher affected female population than previous literature.
Ocular surface disease following LASIK and cataract surgery: a review of their interrelated complications
Ocular surface disease is a multifactorial condition that is very commonly caused by dry eye disease (DED). Ophthalmic procedures intended to improve visual outcomes, laser-assisted keratomileusis (LASIK) and cataract surgery, can paradoxically cause or exacerbate underlying ocular surface disease. This results in worsening vision and quality of life. This review examines the pathophysiological mechanisms contributing to ocular surface disease development following LASIK and cataract surgery. Both procedures are associated with the transection of corneal nerves, leading to decreased tear production, surface instability, altered neurotrophin production, and impairment of the blink reflex. Furthermore, these incisional procedures stress ocular tissues, while the use of preservatives in topical medications administered during or after these procedures may exacerbate dry eye symptoms. Management strategies for postoperative dry eye disease include, but are not limited to, the use of artificial tears, anti-inflammatory agents such as cyclosporine A or lifitegrast, nerve growth factor therapies, and procedural interventions including punctal plugs, thermal pulsation, lid exfoliation, and intense pulsed light therapy. Additionally, artificial intelligence has emerged as a promising tool to enhance the selection of optimal candidates, thereby minimizing risk and optimizing postoperative outcomes and improving patient satisfaction. LASIK and cataract surgery are highly effective vision correction procedures that have constantly evolved to improve visual outcomes and mitigate side effects. However, ocular surface diseases remain a common complication affecting the outcome and quality of life of post-operative patients. The integration of personalized treatment and AI-based screening protocols can help improve patient outcomes.
Effects of dietary supplementation of an enzyme blend on the ileal and fecal digestibility of nutrients in growing pigs
The objective of this experiment was to determine the effect of a β-glucanase-protease enzyme blend product (EBP) on fecal digestibility (FD), apparent ileal digestibility (AID), standardized ileal digestibility, and digestibility in the hindgut of growing pigs. Twelve ileal-cannulated, growing barrows (38.2 ± 0.5 kg) were housed in individual metabolism crates, blocked by previous feed intake into 3 groups with 4 pigs each, and randomly assigned to 1 of 4 treatments within a square (group) of 3 replications of 4 x 4 Latin square design. Treatments were basal diet (Basal), Basal + 0.05% of EBP (0.05% EBP), Basal + 0.10% of EBP (0.10% EBP), and hydrolyzed casein for measurement of endogenous amino acids. The Basal diet consisted of corn and soybean meal and was calculated to have 3.36 Mcal of ME/kg and 1.1% of total lysine, as-fed basis. Feed intake of each replicate of the Latin square during the first period was 85% of the minimum feed intake of the 4 pigs during the preliminary period and was equalized within each square. The feeding level was increased by 100 g/d in each subsequent period. Each of the experimental periods was 14 d, including 4 d of dietary adaptation, 5 d of fecal collection, 3 d of transition period, and 2 d of ileal collection. Ileal effluents were collected continuously for the same 12-h interval each day. Pigs fed the EBP demonstrated increased (P < 0.05) FD of DM, OM, energy, CP, nonfiber carbohydrate, total dietary fiber, insoluble dietary fiber, acid-hydrolyzed fat, ash, Ca, and P compared with pigs fed Basal. The AID of NDF and hemicellulose was increased (P < 0.05) by supplying the EBP either at 0.05 or 0.10% in the diets, but AID of DM and energy was not increased. The AID of acid-hydrolyzed fat tended to be greater (P = 0.051) for the pigs fed the EBP than for those fed Basal. Ileal digestibility of most amino acids was not affected by treatment, but the EBP reduced the apparent and standardized digestibility of methionine, alanine, and serine (P < 0.05). The difference between FD and AID of hemicellulose was lower (P < 0.05) for the pigs fed the EBP than for those fed Basal. These results demonstrated that the EBP fed to growing pigs improved the FD of DM, OM, energy, CP, nonfiber carbohydrate, total dietary fiber, acid-hydrolyzed fat, Ca, and P, and the AID of NDF and hemi-cellulose, but the standardized ileal digestibility of amino acids was not improved by supplying the EBP in corn-soybean meal-based diets of growing pigs.
Discovering the anti-cancer potential of non-oncology drugs by systematic viability profiling
Anti-cancer uses of non-oncology drugs have occasionally been found, but such discoveries have been serendipitous. We sought to create a public resource containing the growth inhibitory activity of 4,518 drugs tested across 578 human cancer cell lines. We used PRISM, a molecular barcoding method, to screen drugs against cell lines in pools. An unexpectedly large number of non-oncology drugs selectively inhibited subsets of cancer cell lines in a manner predictable from the cell lines' molecular features. Our findings include compounds that killed by inducing PDE3A-SLFN12 complex formation; vanadium-containing compounds whose killing depended on the sulfate transporter SLC26A2; the alcohol dependence drug disulfiram, which killed cells with low expression of metallothioneins; and the anti-inflammatory drug tepoxalin, which killed via the multi-drug resistance protein ABCB1. The PRISM drug repurposing resource (https://depmap.org/repurposing) is a starting point to develop new oncology therapeutics, and more rarely, for potential direct clinical translation.
Nine mile canyon : the archaeological history of an American treasure
With an estimated 10,000 ancient rock art sites, Nine Mile Canyon has long captivated people the world over.The 45-mile-long canyon, dubbed the \"World's Longest Art Gallery,\" hosts what is believed to be the largest concentration of rock art in North America.
The Fremont Frontier: Living at the Margins of Maize Farming
The Fremont provide an important case study to examine the resilience of ancient farmers to climatic downturns, because they lived at the far northern margin of intensive maize agriculture in the American West, where the constraints on maize production are made abundantly clear. Using a tree-ring and simulation-based reconstruction of average annual precipitation and maize growing degree days, along with cost-distance to perennial streams, we model spatial variability in Fremont site density in the eastern Great Basin. The results of our analysis have implications for defining the ecological envelope in which farming is a viable strategy across this arid region and can be used to predict where and why maize farming strategies might evolve and eventually collapse as climate changes over time.
Transformational leadership and team performance
Despite transformational leadership enjoying success and attention as an exceptional leadership theory, few scholars have investigated a specific link between transformational leadership theory and team performance. As such, we discuss how transformational leadership theory can provide a framework in which to investigate a leader's impact on team performance. We posit that idealized influence inspirational motivation, intellectual stimulation and individualized consideration could produce intermediate outcomes such as shared vision, team commitment, an empowered team environment and functional team conflict. In turn, these intermediate outcomes may positively affect team communication, cohesion and conflict management. Implications for team development, team training and team structure are presented. Limitations and future directions are also discussed.