1968: Art and Politics in Chicago

https://via.library.depaul.edu/museum-publications/1006/thumbnail.jp

Prevalence and prevention of large language model use in crowd work

We show that the use of large language models (LLMs) is prevalent among crowd workers, and that targeted mitigation strategies can significantly reduce, but not eliminate, LLM use. On a text summarization task where workers were not directed in any way regarding their LLM use, the estimated prevalence of LLM use was around 30%, but was reduced by about half by asking workers to not use LLMs and by raising the cost of using them, e.g., by disabling copy-pasting. Secondary analyses give further insight into LLM use and its prevention: LLM use yields high-quality but homogeneous responses, which may harm research concerned with human (rather than model) behavior and degrade future models trained with crowdsourced data. At the same time, preventing LLM use may be at odds with obtaining high-quality responses; e.g., when requesting workers not to use LLMs, summaries contained fewer keywords carrying essential information. Our estimates will likely change as LLMs increase in popularity or capabilities, and as norms around their usage change. Yet, understanding the co-evolution of LLM-based tools and users is key to maintaining the validity of research done using crowdsourcing, and we provide a critical baseline before widespread adoption ensues.Comment: VV and MHR equal contribution. 14 pages, 1 figure, 1 tabl

Re:Chicago

https://via.library.depaul.edu/museum-publications/1012/thumbnail.jp

Determination of antioxidant compounds in foodstuff

© 2017 Scrivener Publishing LLC. Phenolic compounds, vitamins and carotenoids are naturally found in different foodstuff. These antioxidant compounds play an important role in human health and are of interest for the food, pharmaceutical and cosmeceutical industries. Modern chromatographic and spectrometric techniques have made analysis easier than ever before, but their success depends on the extraction method used. In fact, the different antioxidants are identifified using chromatographic techniques coupled to diff erent specififi c detectors according to the characteristics of each molecule. Beyond their well-known health-promoting effects, antioxidant molecules can also be used to functionalize or preserve the freshness, nutritive value, flflavor and color of foodstuff s, which justify their incorporation into several matrices. In this chapter, the most common antioxidant compounds in foodstuff will be described, as well as the methodologies involved in their extraction, separation, identifification and quantifification. The bioactive properties and industrial applications of these compounds through innovative techniques will also be taken into account.info:eu-repo/semantics/publishedVersio

Site-specific seeding using multi-sensor and data fusion techniques : a review

Site-specific seeding (SSS) is a precision agricultural (PA) practice aiming at optimizing seeding rate and depth, depending on the within field variability in soil fertility and yield potential. Unlike other site-specific applications, SSS was not adopted sufficiently by farmers due to some technological and practical challenges that need to be overcome. Success of site-specific application strongly depends on the accuracy of measurement of key parameters in the system, modeling and delineation of management zone maps, accurate recommendations and finally the right choice of variable rate (VR) technologies and their integrations. The current study reviews available principles and technologies for both map-based and senor-based SSS. It covers the background of crop and soil quality indicators (SQI), various soil and crop sensor technologies and recommendation approaches of map-based and sensor-based SSS applications. It also discusses the potential of socio-economic benefits of SSS against uniform seeding. The current review proposes prospective future technology synthesis for implementation of SSS in practice. A multi-sensor data fusion system, integrating proper sensor combinations, is suggested as an essential approach for putting SSS into practice

Impact of the Introduction of Calcimimetics on Timing of Parathyroidectomy in Secondary and Tertiary Hyperparathyroidism

Hyperparathyroidism (HPT), both secondary and tertiary, is common in patients with end-stage renal disease, and is associated with severe bone disorders, cardiovascular complications, and increased mortality. Since the introduction of calcimimetics in 2004, treatment of HPT has shifted from surgery to predominantly medical therapy. The aim of this study was to evaluate the impact of this change of management on the HPT patient population before undergoing (sub-)total parathyroidectomy (PTx). Overall, 119 patients with secondary or tertiary HPT undergoing PTx were included in a retrospective, single-center cohort. Group A, who underwent PTx before January 2005, was compared with group B, who underwent PTx after January 2005. Patient characteristics, time interval between HPT diagnosis and PTx, and postoperative complications were compared. Group A comprised 70 (58.8 %) patients and group B comprised 49 (41.2 %) patients. The median interval between HPT diagnosis and PTx was 27 (interquartile range [IQR] 12.5-48.0) and 49 (IQR 21.0-75.0) months for group A and B, respectively (p = 0.007). Baseline characteristics were similar among both groups. The median preoperative serum parathyroid hormone (PTH) level was 936 pg/mL (IQR 600-1273) for group A versus 1091 pg/mL (IQR 482-1373) for group B (p = 0.38). PTx resulted in a dramatic PTH reduction (less than twofold the upper limit: A, 80.0 %; B, 85.4 %), and postoperative complication rates were low in both groups (A: 7.8 %; B: 10.2 %) [p = 0.66]. The introduction of calcimimetics in 2004 is associated with a significant 2-year delay of surgery with continuously elevated preoperative PTH levels, while parathyroid surgery, even in a fragile population, is considered a safe and effective procedure

APPLICATION OF ELECTRONIC NOSES IN THE WINE INDUSTRY

Rapid instrumental methods such as spectroscopy (e.g. near and mid infrared) and electronic noses are used in the food and beverage industries to monitor and assess the composition and quality of products. Similar to other food industries, the wine industry has a clear need for simple, rapid and cost effective techniques for objectively evaluating the quality of grapes, wine and spirits. Electronic nose (EN) instruments have been used to determine the geographical origin, to measure volatile compounds and to predict wine sensory characteristics, as well as to monitor volatiles during wine fermentation. In recent years the use of EN instruments were evaluated and used to measure grape composition at the vineyard. This chapter highlights several applications of EN instruments to analyse grape, must and wine samples

Application of electronic noses in the wine industry

Rapid instrumental methods such as spectroscopy (e.g. near and mid infrared) and electronic noses are used in the food and beverage industries to monitor and assess the composition and quality of products. Similar to other food industries, the wine industry has a clear need for simple, rapid and cost effective techniques for objectively evaluating the quality of grapes, wine and spirits. Electronic nose (EN) instruments have been used to determine the geographical origin, to measure volatile compounds and to predict wine sensory characteristics, as well as to monitor volatiles during wine fermentation. In recent years the use of EN instruments were evaluated and used to measure grape composition at the vineyard. This chapter highlights several applications of EN instruments to analyse grape, must and wine samples

Varietal discrimination of Australian wines by means of mid-infrared spectroscopy and multivariate analysis

This study outlines the use of mid-infrared (MIR) spectroscopy combined with principal component analysis (PCA) and linear discriminant analysis (LDA) for the varietal classification of commercial red and white table wines. Three red varieties (Cabernet Sauvignon, Shiraz and Merlot) and four white varieties (Chardonnay, Riesling, Sauvignon Blanc and Viognier) were sourced from different wine regions in Australia. Wine samples were scanned in transmission on a FOSS WineScan FT 120 from wave numbers 926 to 5012 cm. All samples were sourced from the 2006 vintage and had not been blended with any other variety or wine from other regions. Spectral data were reduced to a small number of principal components (PCs) and LDA was then performed to successfully separate the wines into the different varieties. To test the robustness of the LDA models developed for the red wines, a set of red wines scanned in 2005 were used. Correct classification of over 95% was achieved for the validation set

L’acte graphique : les dimensions d’un objet d’étude

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