Life events in conversion disorder: Role of timing and nature of events

Aims: To compare the frequency of life events in the year preceding illness onset in a series of Conversion Disorder (CD) patients, with those of a matched control group and to characterize the nature of those events in terms of "escape" potential. Traditional models of CD hypothesise that relevant stressful experiences are "converted" into physical symptoms to relieve psychological pressure, and that the resultant disability allows "escape" from the stressor, providing some advantage to the individual. Methods: The Life Events and Difficulties Schedule (LEDS) is a validated semi-structured interview designed to minimise recall and interviewer bias through rigorous assessment and independent rating of events. An additional "escape" rating was developed. Results: In the year preceding onset in 25 CD patients (mean age 38.9 years ± 8) and a similar matched period in 13 controls (mean age 36.2 years ± 10), no significant difference was found in the proportion of subjects having ≥ 1 severe event (CD 64%, controls 38%; p=0.2). In the last month preceding onset, a higher number of patients experienced ≥1 severe events than controls (52% vs 15%, odds ratio 5.95 (CI: 1.09-32.57)). Patients were twice as much more likely to have a severe escape events than controls, in the month preceding onset (44% vs 7%, odds ratio 9.43 (CI: 1.06-84.04). Conclusion: Preliminary data from this ongoing study suggest that the time frame (preceding month) and the nature ("escape") of the events may play an important role in identifying key events related to CD onset.

Verkossa ilmestyvät lektiot

Kyselytestit synonymian selvittämisessä : sanastotietoutta kielenpuhujilta sähköiseen sanakirjaan / Ulla Vanhatalo ; Toimittajan läsnäolo sanomalehtitekstissä : näkökulmia suomen kielen dialogisiin passiivilauseisiin / Henna Makkonen-Craig

A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder.

BACKGROUND: Obesity is strongly associated with major depressive disorder (MDD) and various other diseases. Genome-wide association studies have identified multiple risk loci robustly associated with body mass index (BMI). In this study, we aimed to investigate whether a genetic risk score (GRS) combining multiple BMI risk loci might have utility in prediction of obesity in patients with MDD. METHODS: Linear and logistic regression models were conducted to predict BMI and obesity, respectively, in three independent large case-control studies of major depression (Radiant, GSK-Munich, PsyCoLaus). The analyses were first performed in the whole sample and then separately in depressed cases and controls. An unweighted GRS was calculated by summation of the number of risk alleles. A weighted GRS was calculated as the sum of risk alleles at each locus multiplied by their effect sizes. Receiver operating characteristic (ROC) analysis was used to compare the discriminatory ability of predictors of obesity. RESULTS: In the discovery phase, a total of 2,521 participants (1,895 depressed patients and 626 controls) were included from the Radiant study. Both unweighted and weighted GRS were highly associated with BMI (P <0.001) but explained only a modest amount of variance. Adding 'traditional' risk factors to GRS significantly improved the predictive ability with the area under the curve (AUC) in the ROC analysis, increasing from 0.58 to 0.66 (95% CI, 0.62-0.68; χ(2) = 27.68; P <0.0001). Although there was no formal evidence of interaction between depression status and GRS, there was further improvement in AUC in the ROC analysis when depression status was added to the model (AUC = 0.71; 95% CI, 0.68-0.73; χ(2) = 28.64; P <0.0001). We further found that the GRS accounted for more variance of BMI in depressed patients than in healthy controls. Again, GRS discriminated obesity better in depressed patients compared to healthy controls. We later replicated these analyses in two independent samples (GSK-Munich and PsyCoLaus) and found similar results. CONCLUSIONS: A GRS proved to be a highly significant predictor of obesity in people with MDD but accounted for only modest amount of variance. Nevertheless, as more risk loci are identified, combining a GRS approach with information on non-genetic risk factors could become a useful strategy in identifying MDD patients at higher risk of developing obesity.

Tuulikuormien vaikutus teleskooppimaston toimintaan

Tämä diplomityö on tehty Patria Vehicles Oy:n toimeksiannosta. Patria Vehicles Oy:n tuotantoon kuuluvat vaativiin maasto-olosuhteisiin soveltuvat sotilasajoneuvot sekä teleskooppimastot. Tutkimuksen tarkoituksena oli mallintaa mastoperävaunusta joustava malli, johon vaikuttavat tuulikuormat. Mallin avulla voidaan tutkia maston siirtymiä, kallistumia sekä kiertymiä. Tutkimuksessa on käytetty ADAMS-simulointiohjelmistoa sekä I-DEAS- FEM ohjelmistoa. Dynaamisten ongelmien ratkaisemiseksi on ymmärrettävä rakenteiden käyttäytymistä. Tuulikuormien mallintamisen edellytyksenä on tuulikuormien syntymisen ymmärtäminen. Tämän työn peruslähtökohtana on mallintaa kaikki maston jäykkyyteen vaikuttavat komponentit joustavina FE-menetelmän avulla. Luodaan superelementit Craig-Bamptonin ominaismuotojen superponointimenetelmällä. Nämä superelementit liitetään toisiinsa ja asetetaan niille tuulikuormat. Luodaan kosketukset puomien, sekä maan ja maston välille. Pienennetään joustavien osien ominaismuotojen määrää, jotta saataisiin nopeammat analyysit. Parametrisoidaan malli, jolloin voidaan analysoida mallilla useampia tapauksia. Verifioidaan malli varmistaaksemme sen oikeellisuuden. Taulukoidaan tulokset.

Phenol-Explorer 3.0: a major update of the Phenol-Explorer database to incorporate data on the effects of food processing on polyphenol content

Polyphenols are a major class of bioactive phytochemicals whose consumption may play a role in the prevention of a number of chronic diseases such as cardiovascular diseases, type II diabetes and cancers. Phenol-Explorer, launched in 2009, is the only freely available web-based database on the content of polyphenols in food and their in vivo metabolism and pharmacokinetics. Here we report the third release of the database (Phenol-Explorer 3.0), which adds data on the effects of food processing on polyphenol contents in foods. Data on >100 foods, covering 161 polyphenols or groups of polyphenols before and after processing, were collected from 129 peer-reviewed publications and entered into new tables linked to the existing relational design. The effect of processing on polyphenol content is expressed in the form of retention factor coefficients, or the proportion of a given polyphenol retained after processing, adjusted for change in water content. The result is the first database on the effects of food processing on polyphenol content and, following the model initially defined for Phenol-Explorer, all data may be traced back to original sources. The new update will allow polyphenol scientists to more accurately estimate polyphenol exposure from dietary surveys. Database URL: http://www.phenol-explorer.eu

Phenotypic Association Analyses With Copy Number Variation in Recurrent Depressive Disorder.

BACKGROUND: Defining the molecular genomic basis of the likelihood of developing depressive disorder is a considerable challenge. We previously associated rare, exonic deletion copy number variants (CNV) with recurrent depressive disorder (RDD). Sex chromosome abnormalities also have been observed to co-occur with RDD. METHODS: In this reanalysis of our RDD dataset (N = 3106 cases; 459 screened control samples and 2699 population control samples), we further investigated the role of larger CNVs and chromosomal abnormalities in RDD and performed association analyses with clinical data derived from this dataset. RESULTS: We found an enrichment of Turner's syndrome among cases of depression compared with the frequency observed in a large population sample (N = 34,910) of live-born infants collected in Denmark (two-sided p = .023, odds ratio = 7.76 [95% confidence interval = 1.79-33.6]), a case of diploid/triploid mosaicism, and several cases of uniparental isodisomy. In contrast to our previous analysis, large deletion CNVs were no more frequent in cases than control samples, although deletion CNVs in cases contained more genes than control samples (two-sided p = .0002). CONCLUSIONS: After statistical correction for multiple comparisons, our data do not support a substantial role for CNVs in RDD, although (as has been observed in similar samples) occasional cases may harbor large variants with etiological significance. Genetic pleiotropy and sample heterogeneity suggest that very large sample sizes are required to study conclusively the role of genetic variation in mood disorders.

Flexible multibody dynamics and intelligent control of a hydraulically driven hybrid redundant robot machine

The assembly and maintenance of the International Thermonuclear Experimental Reactor (ITER) vacuum vessel (VV) is highly challenging since the tasks performed by the robot involve welding, material handling, and machine cutting from inside the VV. The VV is made of stainless steel, which has poor machinability and tends to work harden very rapidly, and all the machining operations need to be carried out from inside of the ITER VV. A general industrial robot cannot be used due to its poor stiffness in the heavy duty machining process, and this will cause many problems, such as poor surface quality, tool damage, low accuracy. Therefore, one of the most suitable options should be a light weight mobile robot which is able to move around inside of the VV and perform different machining tasks by replacing different cutting tools. Reducing the mass of the robot manipulators offers many advantages: reduced material costs, reduced power consumption, the possibility of using smaller actuators, and a higher payload-to-robot weight ratio. Offsetting these advantages, the lighter weight robot is more flexible, which makes it more difficult to control. To achieve good machining surface quality, the tracking of the end effector must be accurate, and an accurate model for a more flexible robot must be constructed. This thesis studies the dynamics and control of a 10 degree-of-freedom (DOF) redundant hybrid robot (4-DOF serial mechanism and 6-DOF 6-UPS hexapod parallel mechanisms) hydraulically driven with flexible rods under the influence of machining forces. Firstly, the flexibility of the bodies is described using the floating frame of reference method (FFRF). A finite element model (FEM) provided the Craig-Bampton (CB) modes needed for the FFRF. A dynamic model of the system of six closed loop mechanisms was assembled using the constrained Lagrange equations and the Lagrange multiplier method. Subsequently, the reaction forces between the parallel and serial parts were used to study the dynamics of the serial robot. A PID control based on position predictions was implemented independently to control the hydraulic cylinders of the robot. Secondly, in machining, to achieve greater end effector trajectory tracking accuracy for surface quality, a robust control of the actuators for the flexible link has to be deduced. This thesis investigates the intelligent control of a hydraulically driven parallel robot part based on the dynamic model and two schemes of intelligent control for a hydraulically driven parallel mechanism based on the dynamic model: (1) a fuzzy-PID self-tuning controller composed of the conventional PID control and with fuzzy logic, and (2) adaptive neuro-fuzzy inference system-PID (ANFIS-PID) self-tuning of the gains of the PID controller, which are implemented independently to control each hydraulic cylinder of the parallel mechanism based on rod length predictions. The serial component of the hybrid robot can be analyzed using the equilibrium of reaction forces at the universal joint connections of the hexa-element. To achieve precise positional control of the end effector for maximum precision machining, the hydraulic cylinder should be controlled to hold the hexa-element. Thirdly, a finite element approach of multibody systems using the Special Euclidean group SE(3) framework is presented for a parallel mechanism with flexible piston rods under the influence of machining forces. The flexibility of the bodies is described using the nonlinear interpolation method with an exponential map. The equations of motion take the form of a differential algebraic equation on a Lie group, which is solved using a Lie group time integration scheme. The method relies on the local description of motions, so that it provides a singularity-free formulation, and no parameterization of the nodal variables needs to be introduced. The flexible slider constraint is formulated using a Lie group and used for modeling a flexible rod sliding inside a cylinder. The dynamic model of the system of six closed loop mechanisms was assembled using Hamilton’s principle and the Lagrange multiplier method. A linearized hydraulic control system based on rod length predictions was implemented independently to control the hydraulic cylinders. Consequently, the results of the simulations demonstrating the behavior of the robot machine are presented for each case study. In conclusion, this thesis studies the dynamic analysis of a special hybrid (serialparallel) robot for the above-mentioned special task involving the ITER and investigates different control algorithms that can significantly improve machining performance. These analyses and results provide valuable insight into the design and control of the parallel robot with flexible rods.

Real-time simulation of multibody systems with applications for working mobile vehicles

This dissertation describes an approach for developing a real-time simulation for working mobile vehicles based on multibody modeling. The use of multibody modeling allows comprehensive description of the constrained motion of the mechanical systems involved and permits real-time solving of the equations of motion. By carefully selecting the multibody formulation method to be used, it is possible to increase the accuracy of the multibody model while at the same time solving equations of motion in real-time. In this study, a multibody procedure based on semi-recursive and augmented Lagrangian methods for real-time dynamic simulation application is studied in detail. In the semirecursive approach, a velocity transformation matrix is introduced to describe the dependent coordinates into relative (joint) coordinates, which reduces the size of the generalized coordinates. The augmented Lagrangian method is based on usage of global coordinates and, in that method, constraints are accounted using an iterative process. A multibody system can be modelled as either rigid or flexible bodies. When using flexible bodies, the system can be described using a floating frame of reference formulation. In this method, the deformation mode needed can be obtained from the finite element model. As the finite element model typically involves large number of degrees of freedom, reduced number of deformation modes can be obtained by employing model order reduction method such as Guyan reduction, Craig-Bampton method and Krylov subspace as shown in this study The constrained motion of the working mobile vehicles is actuated by the force from the hydraulic actuator. In this study, the hydraulic system is modeled using lumped fluid theory, in which the hydraulic circuit is divided into volumes. In this approach, the pressure wave propagation in the hoses and pipes is neglected. The contact modeling is divided into two stages: contact detection and contact response. Contact detection determines when and where the contact occurs, and contact response provides the force acting at the collision point. The friction between tire and ground is modelled using the LuGre friction model, which describes the frictional force between two surfaces. Typically, the equations of motion are solved in the full matrices format, where the sparsity of the matrices is not considered. Increasing the number of bodies and constraint equations leads to the system matrices becoming large and sparse in structure. To increase the computational efficiency, a technique for solution of sparse matrices is proposed in this dissertation and its implementation demonstrated. To assess the computing efficiency, augmented Lagrangian and semi-recursive methods are implemented employing a sparse matrix technique. From the numerical example, the results show that the proposed approach is applicable and produced appropriate results within the real-time period.

Miltä tuntuu palata kotiin? Suomalaisten opiskelijoiden kokema käänteinen kulttuurisokki

Käänteinen kulttuurisokki on ilmiö, josta on puhuttu Suomessa vain vähän, vaikka opiskelijavaihdon suosio on kasvussa. Tässä tutkielmassa kysyn, miten Turun yliopiston opiskelijavaihtoon osallistuneet opiskelijat kokivat paluun Suomeen vuoden kestäneen vaihtojakson jälkeen. Aihetta lähestytään vaihtokohteessa koetun kulttuurisokin kautta, sillä ulkomailla vietetyn ajan kokemukset auttavat ymmärtämään paluukokemuksia. Tutkielman aineisto on kerätty löyhästi strukturoituina teemahaastatteluina kymmeneltä yliopisto-opiskelijalta. Aineistoa analysoitiin hyödyntämällä elementtejä sekä fenomenologiasta että fenomenografiasta. Haastattelujen merkitysyksiköistä muodostettiin tulosavaruus, jonka pohjalta kirjoitettiin tutkimuksen tulokset haastateltavien kollektiivisena kokemuksena. Tutkimuksen tulokset etenevät kronologisessa järjestyksessä siten, että aluksi kartoitetaan tunnelmia vaihtoon lähtiessä ja ulkomailla koettu mahdollinen kulttuurisokki. Sen jälkeen keskitytään paluuseen valmistautumiseen ja siihen liittyviin tuntemuksiin. Itse paluukokemuksien ja paluusta selviytymisen jälkeen pohditaan, mitä vaihtojaksosta jäi käteen: “kolmas tila”, josta tarkkaillaan kotimaata uudesta näkökulmasta, muutoksia persoonallisuudessa ja maailmankatsomuksessa, kielitaitoa ja uusia mielenkiinnon kohteita. Paluuseen kuitenkin liittyy usein myös negatiivisia tunteita siitä, että lähipiiri ei täysin ymmärrä ulkomaanjakson kokemuksia. Haastateltavat eivät kuitenkaan tunteneet itseään ulkopuolisiksi Suomessa, vaikka muuten kansallisessa identiteetissä olikin osaksi tapahtunut muutoksia. Analyysin päättää kuvaus haastateltavien tulevaisuuden suunnitelmista, joihin kaikilla kuului vielä mahdollisena lähtö ulkomaille uudestaan, vaikka pitkällä tähtäimellä tulevaisuus usein nähtiinkin Suomessa. Haastateltavien kokemuksista etsitään analyysissa yhtäläisyyksiä ja eroja aikaisempaan tutkimukseen, jota tässä tutkimuksessa edustavat erityisesti Kalervo Oberg, Stephen Bochner, Peter Adler, Kevin F. Gaw ja Craig Storti. Lopuksi pohditaan mahdollisia keinoja käänteistä kulttuurisokkia helpottamaan.

1969-70 Hockey Team

1969-71 Brock Generals Hockey team. Members from left to right - Back row: Tom Kearney (Trainer), Al Kellogg (Coach), John Hull, Craig Morrison, Gregg Law, Frank Mucci, Dale Andreas, Eric Stevens, Serge Girrard, John Clarey, Wayne Kenyon, Reg Egilsson, Dusty Papke, Randy Oiling (Manager). Front row: Ron Powel, Barry Hopkins, Bruce Wormald, Miller Hicks, Fred Carter, Mike Nicholson, Dick Overholt, Chris Shott. Missing: John O'Brien, Barry Elliot.

1970-71 Hockey Team

1970-71 Brock Generals Hockey team. The members from left to right - Back row: Tom Kearney (trainer), Joel Finlay, Tony Grey, Gregg Carrigan, Craig Morrison, Pat Moroney, Rick Charron, Jim Swain, Bill Fuller, Barry Hopkins, Mike McNiven, Rick Sullivan, Ed Barszcz, Phil McCann, Randy Oiling (Manager), Al Kellogg (Coach). Front row: Wayne Butt, Ron Powell, Tim Goodman, Pat McCann, Arkell Farr, Dave Perrin, Gregg Law. Missing: Jeff Della Vedova.