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#casestudy

2 posts2 participants0 posts today

Yes, Obviously You Can Kill Your Female Characters (Just Not Like THIS!)

NEWSFLASH: Don’t Use The ‘Fridged Woman’ Trope I predominantly write crime fiction and thriller, which means I kill a LOT of characters. Some of them, inevitably, will be female … because, *obviously* (shrugs). However, because…
bang2write.com/2025/03/yes-obv

#advice #audience #books #casestudy #characterrolefunctions
@indieauthors

Bang2write · Yes, You CAN Kill Your Female Characters (Just Not Like THIS)In some genres, you will *need* to kill your characters ... and some of them will be female. Check out how to get around this minefield.

A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
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doi.org/10.1111/tgis.13093 <-- shared paper
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“In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”
#GIS #spatial #mapping #spatialanalysis #spatiotemporal #siting #demand #electricity #heterogeneity #substations #powertransmission #electricalpower #distrubition #service #city #urbanisation #extremeweather #model #modeling #parameters #factors #energycrisis #energy #urbanplanning #routing #outages #framework #UrbanPS #bigdata #AI #machinelearning #Pingxiang #Jiangxi #China #casestudy #coverage #utilisation #dynamic #load #loading #loadbalancing

Interesting #CaseStudy (New Zealand) investigating feasibility, direct costs, total time required to access administrative datasets for outcome assessments in #RCT follow-ups. Data linkage was feasible, but the evaluation of the costs vs. benefits (e.g., such as optimising the assessment methods if primary data are collected) depended on the cohort size:
bmcmedresmethodol.biomedcentra

BioMed CentralTime and cost of linking administrative datasets for outcomes assessment in a follow-up study of participants from two randomised trials - BMC Medical Research MethodologyBackground For the follow-up of participants in randomised trials, data linkage is thought a more cost-efficient method for assessing outcomes. However, researchers often encounter technical and budgetary challenges. Data requests often require a significant amount of information from researchers, and can take several years to process. This study aimed to determine the feasibility, direct costs and the total time required to access administrative datasets for assessment of outcomes in a follow-up study of two randomised trials. Methods We applied to access administrative datasets from New Zealand government agencies. All actions of study team members, along with their corresponding dates, were recorded prospectively for accessing data from each agency. Team members estimated the average time they spent on each action, and invoices from agencies were recorded. Additionally, we compared the estimated costs and time required for data linkage with those for obtaining self-reported questionnaires and conducting in-person assessments. Results Eight agencies were approached to supply data, of which seven gave approval. The time from first enquiry to receiving an initial dataset ranged from 96 to 854 days. For 859 participants, the estimated time required to obtain outcome data from agencies was 1,530 min; to obtain completed self-reported questionnaires was 11,025 min; and to complete in-person assessments was 77,310 min. The estimated total costs were 20,827 NZD for data linkage, 11,735 NZD for self-reported questionnaires, and 116,085 NZD for in-person assessments. Using this data, we estimate that for a cohort of 100 participants, the costs would be similar for data linkage and in-person assessments. For a cohort of 5,000 participants, we estimate that costs would be similar for data linkage and questionnaires, but ten-fold higher for in-person assessments. Conclusions Obtaining administrative datasets demands a substantial amount of time and effort. However, data linkage is a feasible method for outcome ascertainment in follow-up studies in New Zealand. For large cohorts, data linkage is likely to be less costly, whereas for small cohorts, in-person assessment has similar costs but is likely to be faster and allows direct assessment of outcomes.

Interesting #CaseStudy in #multimorbidity network visualisation:
bmcmedresmethodol.biomedcentra

I would challenge the conclusion that only pairs which are selected by multiple statistics should be visualised:
How about using a statistic instead that connects to the underlying theoretical assumptions?

BioMed CentralChoices of measures of association affect the visualisation and composition of the multimorbidity networks - BMC Medical Research MethodologyBackground Network analysis, commonly used to describe the patterns of multimorbidity, uses the strength of association between conditions as weight to classify conditions into communities and calculate centrality statistics. Our aim was to examine the robustness of the results to the choice of weight. Methods Data used on 27 chronic conditions listed on Australian death certificates for women aged 85+. Five statistics were calculated to measure the association between 351 possible pairs: odds ratio (OR), lift, phi correlation, Salton cosine index (SCI), and normalised-joint frequency of pairs (NF). Network analysis was performed on the 10% of pairs with the highest weight according to each definition, the ‘top pairs’. Results Out of 56 ‘top pairs’ identified, 13 ones were consistent across all statistics. In networks of OR and lift, three of the conditions which did not join communities were among the top five most prevalent conditions. Networks based on phi and NF had one or two conditions not part of any community. For the SCI statistics, all three conditions which did not join communities had prevalence below 3%. Low prevalence conditions were more likely to have high degree in networks of OR and lift but not SCI. Conclusion Use of different statistics to estimate weights leads to different networks. For exploratory purposes, one may apply alternative weights to identify a large list of pairs for further assessment in independent studies. However, when the aim is to visualise the data in a robust and parsimonious network, only pairs which are selected by multiple statistics should be visualised.

The is one of the largest & most important in . The drains 90,000 hectares & provides to dozens of species, including , , , & , as well as brown, & . But the ’s troubles are by no means unique; they are a for a much larger problem.

store all along the , says Jamieson Atkinson, a fish & program manager for the & Centre at . “It’s shocking.” While make up less than 3% of British Columbia’s coast, they provide rich for 80% of the province’s coastal . The estuary, near on the mainland, supports more than 300 species of & 80 species of fish & for at least part of their life cycles.

thetyee.ca/News/2024/07/05/Est

@thetyee

The Tyee · The Estuary Smothered by a Thousand Industrial Logs | The TyeeBy Larry Pynn