Online encoder-decoder anomaly detection using encoder-decoder architecture with novel self-configuring neural networks & pure linear genetic programming for embedded systems

Recent anomaly detection techniques focus on the use of neural networks and an encoder-decoder architecture. However, these techniques lead to trade offs if implemented in an embedded environment such as high heat management, power consumption and hardware costs. This paper presents two related new methods for anomaly detection within data sets gathered from an autonomous mini-vehicle with a CAN bus. The first method which to the best of our knowledge is the first use of encoder-decoder architecture for anomaly detection using linear genetic programming (LGP). Second method uses self-configuring neural network that is created using evolutionary algorithm paradigm learning both architecture and weights suitable for embedded systems. Both approaches have the following advantages: it is inexpensive regarding resource use, can be run on almost any embedded board due to linear register machine advantages in computation. The proposed methods are also faster by at least one order of magnitude, and it includes both inference and complete training

Sixteen-year longitudinal evaluation of blood-based DNA methylation biomarkers for early prediction of Alzheimer\u27s disease

BACKGROUND: DNA methylation (DNAm), an epigenetic mark reflecting both inherited and environmental influences, has shown promise for Alzheimer\u27s disease (AD) prediction. OBJECTIVE: Testing long-term predictive ability ( \u3e 15 years) of existing DNAm-based epigenetic age acceleration (EAA) measures and identifying novel early blood-based DNAm AD-prediction biomarkers. METHODS: EAA measures calculated from Illumina EPIC data from blood were tested with linear mixed-effects models (LMMs) in a longitudinal case-control sample (50 late-onset AD cases; 51 matched controls) with prospective data up to 16 years before clinical onset, and post-onset follow-up. Novel DNAm biomarkers were generated with epigenome-wide LMMs, and Sparse Partial Least Squares Discriminant Analysis applied at pre- (10-16 years), and post-AD-onset time-points. RESULTS: EAA did not differentiate cases from controls during the follow-up time (p \u3e 0.05). Three new DNA biomarkers showed in-sample predictive ability on average 8 years pre-onset, after adjustment for age, sex, and white blood cell proportions (p-values: 0.022- \u3c 0.00001). Our longitudinally-derived panel replicated nominally (p = 0.012) in an external cohort (n = 146 cases, 324 controls). However, its effect size and discriminatory accuracy were limited compared to APOE 4-carriership (OR = 1.38 per 1 SD DNAm score increase versus OR = 13.58 for 4-allele carriage; AUCs = 77.2% versus 87.0%). Literature review showed low overlap (n = 4) across 3275 AD-associated CpGs from 8 published studies, and no overlap with our identified CpGs

The effect of information on voting behavior

This paper investigates how information affect voting behaviour. There exist a large literature suggesting that uninformed voters can use informational shortcuts or cues to vote as if they were informed. This paper tests this hypothesis using unique Swedish individual survey data on the preferences of both politicians and voters. I find that uninformed voters are significantly worse than informed voters at voting for their most preferred politicians. This suggests that uninformed voters can not make up for their lack of information using shortcuts. Furthermore, the errors uninformed voters make do not cancel out in large elections. Estimates suggest that the ruling majorities would have switched in almost 5% of Swedish municipalities had all voters been fully informed. The effects are estimated with both parametric and nonparametric estimation techniques.

Blackbox : Uppmuntra förståelsen av komplexitet

With technology becoming more and more complex, this project utilizes a industrial design process to explore if there are ways that we can incorporate technology into general education and connect the usually theoretical subjects to something physical. Through the "double diamond process" and with collaboration with teachers and educators have it been possible to identify and create a teaching aid concept that would help break down complicated functions and divide them into manageable lectures or sessions.The goal is to inspire the next generation to be more conscious about the electronic devices they choose to own and in that way reduce the amount of wasteful devices that gets produced, as well as encourage features like "repairability" and "upgradeability". This is done through educating the users about "black boxes" by building complex electronic devices. These devices are connected to education through accompanying lectures and theoretical lessons that connects the different subjects to physical and tangible products. I takt med att teknik blir mer och mer komplicerad, så fokuserar detta projekt på att utifrån en industri design process undersöka ifall vi kan integrera teknik till mer generell utbildning och på så vis koppla det som generellt anses vara teoretiskt till något fysiskt. Genom "double diamond processen"och med nära samarbete med lärare och utbildare så har det varit möjligt att identifiera och skapa undervisnings underlag som effektivt kan bryta ner komplicerade funktioner och dela upp dom till lättsmälta lektioner eller genomgångar. Målet med detta projekt är att inspirera nästa generation till att vara mer medveten kring vilka tekniska enheter de väljer att äga och i på det sättet minska mängden onödiga prylar som produceras,samtidigt som att uppmuntra funktioner som "lätt att reparera" och "går att uppgradera". Det här görs genom att utbilda användaren om "black boxes" via att de bygger ihop en komplicerad tekniskenhet. Dessa enheter kopplas till utbildning genom medföljande lektioner och föreläsningar som kopplar det komplexa ämnet till en fysisk och handgriplig produkt.

Local Television, Citizen Knowledge and Political Accountability: Evidence from the U.S. Senate

I investigate the causal eect of access to relevant local television on i) U.S. citizens' knowledge of their senators' actions in the Senate and ii) whether citizens hold their senators accountable for these actions. To do so, I utilize the mismatch between the local television markets and the states. This mismatch causes citizens living in counties where local television stations are based in their own state (in-state counties) to have greater access to relevant news about their senators, compared to citizens living in coun- ties served by local television based in a neighboring state (out-of-state counties). Using survey data from the 2006 Cooperative Congressional Election Study, I find that the biased coverage of local television news leads to citizens in in-state counties, compared to out-of-state counties, to be more informed about their senators' roll-call votes, as well as more likely to hold opinions about these senators. However, I do not find that the increased knowledge aects the likelihood that citizens evaluate their senators based on the roll-call votes. This result suggests that passively acquired information through local television is not su-cient for individuals to hold their senators accountable for their actions in the Senate