scholarly journals The Cost of Mathematical Illiteracy: Review of Innumeracy in the Wild by Ellen Peters (2020)

Numeracy ◽  
2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Anne Kelly

In Innumeracy in the Wild (Oxford University Press, 2020), Ellen Peters, a researcher in decision science, persuasively argues that numeracy skills, numeric confidence, and our intuitive sense for numbers impact our lifelong outcomes in health and wellbeing. Peters draws from research and real-world examples to show how daily life for innumerate people is different from that of numerate people and makes practical recommendations on improving how we communicate numerical information.

2018 ◽  
Vol 9 (2) ◽  
pp. 136-153
Author(s):  
Patrycja Karpińska

Aim. The study aimed at establishing whether there are any significant differences between the two translations of the same novels: one published unofficially and anonymously on the Internet, and the other published officially by the publisher. The elements taken into consideration in the analysis were: the culture-bound elements, the vulgar terms, and syntactic calques. Methods. The theoretical part of the research is based on the refraction theory by A. Lefevere (1992), according to whom translation is a process regulated by a system in which it functions. In opposition to the regulated translational activity stands unofficial Internet translation. The comparative analysis of the translations was further developed with the application the ‘foreignisation’and domestication dichotomy proposed by L. Venuti (1995). Results and conclusion. The results of the study imply that there are significant differences between the official and unofficial translations; the official translations aim at domesticating techniques, whereas the unofficial translations are more likely to apply ‘foreignising’ techniques, even at the cost of breaking cultural values of the target culture. Cognitive value. The Internet has become an  inseparable part of modern people’s daily life, yet Internet activities are still not regulated and researched to such a degree as ‘real world’ ones. The study aims at showing differences between the Internet and official translation, however, it is not able to answer the question regarding the roots of these differences. Further inquiries would be necessary in this case – if even possible.


Author(s):  
Marcus Shaker ◽  
Edmond S. Chan ◽  
Jennifer LP. Protudjer ◽  
Lianne Soller ◽  
Elissa M. Abrams ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3784 ◽  
Author(s):  
Morteza Homayounfar ◽  
Amirhossein Malekijoo ◽  
Aku Visuri ◽  
Chelsea Dobbins ◽  
Ella Peltonen ◽  
...  

Smartwatch battery limitations are one of the biggest hurdles to their acceptability in the consumer market. To our knowledge, despite promising studies analyzing smartwatch battery data, there has been little research that has analyzed the battery usage of a diverse set of smartwatches in a real-world setting. To address this challenge, this paper utilizes a smartwatch dataset collected from 832 real-world users, including different smartwatch brands and geographic locations. First, we employ clustering to identify common patterns of smartwatch battery utilization; second, we introduce a transparent low-parameter convolutional neural network model, which allows us to identify the latent patterns of smartwatch battery utilization. Our model converts the battery consumption rate into a binary classification problem; i.e., low and high consumption. Our model has 85.3% accuracy in predicting high battery discharge events, outperforming other machine learning algorithms that have been used in state-of-the-art research. Besides this, it can be used to extract information from filters of our deep learning model, based on learned filters of the feature extractor, which is impossible for other models. Third, we introduce an indexing method that includes a longitudinal study to quantify smartwatch battery quality changes over time. Our novel findings can assist device manufacturers, vendors and application developers, as well as end-users, to improve smartwatch battery utilization.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e19551-e19551
Author(s):  
Hongbo Yang ◽  
Cynthia Zhengyun Qi ◽  
Anand Dalal ◽  
Vamsi Bollu ◽  
Jie Zhang ◽  
...  

e19551 Background: The AE rates and HRU reported in multiple real-world evidence (RWE) studies of chimeric antigen receptor T-cell (CAR-T) therapies tisa-cel and axi-cel in r/r DLBCL have differed from those in their clinical trials. However, the cost implications from these findings are not well understood in existing literature. This study summarizes information from these RWE studies of tisa-cel and axi-cel and quantifies the associated costs. Methods: A literature review was conducted to identify RWE studies reporting AE rates and HRU of tisa-cel and axi-cel in the United States (US). AE rates and HRU were summarized and the associated costs were estimated using a micro-costing approach. Costs of AE management included hospitalization and pharmacy costs, such as intensive care unit (ICU) stays, inpatient admissions, and medications for the treatment of cytokine release syndrome (CRS) and neurotoxicity events (NE). HRU costs included hospitalization, ICU stays, and outpatient visit costs. Unit costs were from public health databases that are representative of US healthcare system and from literature. Costs were inflated to 2020 US dollars. A range was reported to present evidence if inputs are available from multiple studies. Results were summarized for tisa-cel and axi-cel separately. Results: Four publications were identified: Jaglowski 2019, Pasquini 2019, Riedell 2019, and Jacobson 2020. Across studies, grade 3+ CRS and NE occurred in 1%-4% and 0%-5% of tisa-cel-treated patients and 7%-16% and 20%-35% of axi-cel-treated patients, respectively. Tocilizumab usage was reported in 14%-20% of tisa-cel- and 62%-71% of axi-cel-treated patients. CAR-T infusion was inpatient for 36% of tisa-cel- and 92%-100% of axi-cel-treated patients. The median hospitalization days was 2 for tisa-cel and 15-16 for axi-cel. ICU transfer was observed for 7% and 28%-38% of tisa-cel- and axi-cel-treated patients, respectively, with median stays of 4 and 5 days, respectively. The median number of outpatient visits within 28 days after infusion was 6 for tisa-cel and 4 for axi-cel. The total estimated costs for managing AEs per patient were $843-$1,962 for tisa-cel and $5,979-$10,878 for axi-cel. The total estimated HRU costs per patient were $3,321 for tisa-cel and $32,394-33,166 for axi-cel. Conclusions: RWE studies suggest that patients with r/r DLBCL receiving tisa-cel had numerically lower AE rates, HRU, and cost burden than those receiving axi-cel in the US. The additional cost burden for axi-cel was primarily driven by the incremental ICU and hospitalization care due to a higher proportion of inpatient infusion among patients receiving axi-cel. Further research is warranted to compare the costs associated with the two CAR-Ts in r/r DLBCL.


2020 ◽  
Author(s):  
Madis Vasser ◽  
Jaan Aru

Virtual reality (VR) holds immense promise as a research tool to deliver results that are generalizable to the real world. However, the methodology used in different VR studies varies substantially. While many of these approaches claim to use “immersive VR”, the different hardware and software choices lead to issues regarding reliability and validity of psychological VR research. Questions arise about quantifying presence, the optimal level of graphical realism, the problem of being in dual-realities and reproducibility of VR research. We discuss how VR research paradigms could be evaluated and offer a list of practical recommendations to have common guidelines for psychological VR research.


2018 ◽  
Vol 1 (1) ◽  
pp. 393-398
Author(s):  
Michalene Eva Grebski ◽  
Radosław Wolniak ◽  
Wieslaw Grebski

Abstract The paper addresses the benefits from accreditation of an Engineering program. The criteria for accreditation are also being discussed as well as the cost of domestic and outside of the United States (US) accreditation. The paper also contains procedures for curriculum development as well as evaluation and assessment. Implementation of a comprehensive continuous quality improvement process (CQI) for individual courses as well as the entire Engineering program is being discussed and analyzed. The conclusions include practical recommendations for the effective closing of the CQI loop.


Author(s):  
Roman Bresson ◽  
Johanne Cohen ◽  
Eyke Hüllermeier ◽  
Christophe Labreuche ◽  
Michèle Sebag

Multi-Criteria Decision Making (MCDM) aims at modelling expert preferences and assisting decision makers in identifying options best accommodating expert criteria. An instance of MCDM model, the Choquet integral is widely used in real-world applications, due to its ability to capture interactions between criteria while retaining interpretability. Aimed at a better scalability and modularity, hierarchical Choquet integrals involve intermediate aggregations of the interacting criteria, at the cost of a more complex elicitation. The paper presents a machine learning-based approach for the automatic identification of hierarchical MCDM models, composed of 2-additive Choquet integral aggregators and of marginal utility functions on the raw features from data reflecting expert preferences. The proposed NEUR-HCI framework relies on a specific neural architecture, enforcing by design the Choquet model constraints and supporting its end-to-end training. The empirical validation of NEUR-HCI on real-world and artificial benchmarks demonstrates the merits of the approach compared to state-of-art baselines.


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