SAS Macros for Calculation of Population Attributable Fraction in a Cohort Study Design

The population attributable fraction (PAF) is a useful measure for quantifying the impact of exposure to certain risk factors on a particular outcome at the population level. Recently, new model-based methods for the estimation of PAF and its confidence interval for different types of outcomes in a cohort study design have been proposed. In this paper, we introduce SAS macros implementing these methods and illustrate their application with a data example on the impact of different risk factors on type 2 diabetes incidence.

Organic egg production in Finland - animal health, welfare and food safety issues

A total of 20 out of 23 commercial organic layer farms took part in the research. Data were collected through observation and by interviewing the producer, using a semi-structured interview guide. Laying hen welfare was estimated using environment-based and animal-based methods. Fresh faecal samples were collected from the floor for analysis of campylobacter and salmonella bacteria and for internal parasite identification

Organic egg production in Finland: management of animal welfare and food safety

A total of 20 out of 23 commercial organic layer farms (in excess of 80 % of all commercial Finnish organic farms year 2003) took part in the ongoing research, which identifies risk factors and potential solutions for laying hen welfare and food safety. Data was collected during two farm visits by interviewing the producer, using a semi-structured interview guide, making environment and animal-based observations and collecting samples

Efficacy of rabies vaccines in dogs and cats and protection in a mouse model against European bat lyssavirus type 2

Background: Rabies is preventable by pre- and/or post-exposure prophylaxis consisting of series of rabies vaccinations and in some cases the use of immunoglobulins. The success of vaccination can be estimated either by measuring virus neutralising antibodies or by challenge experiment. Vaccines based on rabies virus offer cross-protection against other lyssaviruses closely related to rabies virus. The aim was to assess the success of rabies vaccination measured by the antibody response in dogs (n = 10,071) and cats (n = 722), as well as to investigate the factors influencing the response to vaccination when animals failed to reach a rabies antibody titre of ≥ 0.5 IU/ml. Another aim was to assess the level of protection afforded by a commercial veterinary rabies vaccine against intracerebral challenge in mice with European bat lyssavirus type 2 (EBLV-2) and classical rabies virus (RABV), and to compare this with the protection offered by a vaccine for humans. Results: A significantly higher proportion of dogs (10.7%, 95% confidence interval CI 10.1–11.3) than cats (3.5%; 95% CI 2.3–5.0) had a vaccination antibody titre of 60 cm or larger resulted in a higher risk of failing to reach an antibody level of at least 0.5 IU/ml. When challenged with EBLV-2 and RABV, 80 and 100% of mice vaccinated with the veterinary rabies vaccine survived, respectively. When mice were vaccinated with the human rabies vaccine and challenged with EBLV-2, 75–80% survived, depending on the booster. All vaccinated mice developed sufficient to high titres of virus-neutralising antibodies (VNA) against RABV 21–22 days post-vaccination, ranging from 0.5 to 128 IU/ml. However, there was significant difference between antibody titres after vaccinating once in comparison to vaccinating twice (P < 0.05). Conclusions: There was a significant difference between dogs and cats in their ability to reach a post vaccination antibody titre of ≥ 0.5 IU/ml. Mice vaccinated with RABV-based rabies vaccines were partly cross-protected against EBLV-2, but there was no clear correlation between VNA titres and cross-protection against EBLV-2. Measurement of the RABV VNA titre can only be seen as a partial tool to estimate the cross-protection against other lyssaviruses. Booster vaccination is recommended for dogs and cats if exposed to infected bats

Infancy and early childhood maturation of neural auditory change detection and its associations to familial dyslexia risk

Objective: We investigated early maturation of the infant mismatch response MMR, including mismatch negativity (MMN), positive MMR (P-MMR), and late discriminative negativity (LDN), indexing auditory discrimination abilities, and the influence of familial developmental dyslexia risk. Methods: We recorded MMRs to vowel, duration, and frequency deviants in pseudo-words at 0, 6, and 28 months and compared MMRs in subgroups with vs. without dyslexia risk, in a sample overrepresented by risk infants. Results: Neonatal MMN to the duration deviant became larger and earlier by 28 months; MMN was elicited by more deviants only at 28 months. The P-MMR was predominant in infancy; its amplitude increased by 6 and decreased by 28 months; latency decreased with increasing age. An LDN emerged by 6 months and became larger and later by 28 months. Dyslexia risk affected MMRs and their maturation. Conclusions: MMRs demonstrate an expected maturational pattern with 2-3 peaks by 28 months. The effects of dyslexia risk are prominent but not always as expected. Significance: This large-scale longitudinal study shows MMR maturation with three age groups and three deviants. Results illuminate MMR's relation to the adult responses, and hence their cognitive underpinnings, and help in identifying typical/atypical auditory development in early childhood. (c) 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Peer reviewe

Kasvoja seuraavan näköjärjestelmän toteutus robottipäähän

Tiivistelmä. Työssä kehitettiin robottiin kytketty koneoppimisjärjestelmä, joka käsittelee reaaliajassa kameralta tulevaa videosyötettä. Järjestelmää käytettiin havaitsemaan, jäljittämään ja tunnistamaan ihmisten kasvoja, sekä hallitsemaan kameraa (pään ja silmien suuntaus) tarpeenmukaisella tavalla. Kasvojentunnistukseen hyödynnettiin OpenCV:n Haar-ominaisuuksiin pohjautuvaa kaskadiluokittelijaa. Tunnistettua henkilöä seurattiin suhteessa robotin sijaintiin koordinaatistossa, joka helpottaa tunnistuksien käyttöä ja käsittelyä. Henkilön tunnistamiseen koulutettiin Tensorflow-kirjastoa käyttäen autoenkooderityyppinen neuroverkko, jolla enkoodataan kasvoista helposti muistettava ja matemaattisesti vertailtavissa oleva vektori. Tuotettu kokonaisuus onnistui kohtuullisella tarkkuudella ihmisen silmänliikkeitä imitoiden tunnistamaan ja seuraamaan kasvoja. Kyseessä oli usean kandidaattivaiheen opiskelijan laajempi yhteistyöprojekti, jossa eri ryhmät toteuttavat robotille eri toiminnallisuuksia. Ryhmien tuottamat ominaisuudet yhdistettiin käyttäen ROS (Robot Operating System) -nimistä järjestelmää.Abstract. In this work we developed a machine learning system for a robot used to process real time video feed of a camera. The system is used to detect, track and recognize faces and control a camera accordingly (head and eye movement). We used OpenCV cascade classifier which uses Haar-features for facial recognition. Recognitions are mapped to a coordinate system relative to the robot which helps the usage and processing of the detections. An autoencoder based solution was trained using Tensorflow-library for facial recognition by encoding an easily mathematically comparable vector from the faces. The produced system was able to imitate human eye movement with reasonable accuracy and track faces. The project was a part of larger collaboration between other bachelor’s degree students on this project course. Each group developed a specific functionality for the robot. All of the functionalities developed by each group were combined using Robot Operating System

Health and behavioral survey of over 8000 Finnish cats

Peer reviewe

Occupational Animal Contact in Southern and Central Vietnam

Despite the global zoonotic disease burden, the underlying exposures that drive zoonotic disease emergence are not understood. Here, we aimed to assess exposures to potential sources of zoonotic disease and investigate the demographics, attitudes, and behavior of individuals with sustained occupational animal contact in Vietnam. We recruited 581 animal workers (animal-raising farmers, slaughterers, animal health workers, and rat traders) and their families in southern and central Vietnam into a cohort. Cohort members were followed for 3 years and interviewed annually regarding (1) demography and attitudes regarding zoonotic disease, (2) medical history, (3) specific exposures to potential zoonotic infection sources, and (4) socioeconomic status. Interview information over the 3 years was combined and analyzed as cross-sectional data. Of the 297 cohort members interviewed, the majority (79.8%; 237/297) reported raising livestock; almost all (99.6%; 236/237) reported being routinely exposed to domestic animals, and more than a quarter (28.7%; 68/237) were exposed to exotic animals. Overall, 70% (208/297) reported slaughtering exotic animals; almost all (99.5%; 207/208) reported consuming such animals. The consumption of raw blood and meat was common (24.6%; 73/297 and 37%; 110/297, respectively). Over half (58.6%; 174/297) reported recent occupational animal-induced injuries that caused bleeding; the use of personal protective equipment (PPE) was limited. Our work demonstrates that individuals working with animals in Vietnam are exposed to a wide range of species, and there are limited procedures for reducing potential zoonotic disease exposures. We advocate better education, improved animal security, and enforced legislation of PPE for those with occupational animal exposure in Vietnam.Peer reviewe