John 10

I want you to turn with me to John chapter ten. In verse ten I\u27m reading from the New International Version. The thief comes only to steal and kill and destroy. I have come that they may have life and have it to the full. Let\u27s read it together. The thief comes only to steal and kill and destroy and kill and destroy. I have come that they may have life and have it to the full. Or have it more abundantly as the King James Version says. This was one of Jesus\u27 great statements of his purpose in coming, but many do not agree that that is the effect his coming has had upon the world and upon individuals. A famous English poet named Lord Byron wrote these be scathing criticism of Jesus Christ

Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learning

Given the subjective nature of conventional diagnostic methods for post-traumatic stress disorder (PTSD), an objectively measurable biomarker is highly desirable; especially to clinicians and researchers. Macroscopic neural circuits measured using magnetoencephalography (MEG) has previously been shown to be indicative of the PTSD phenotype and severity. In the present study, we employed a machine learning-based classification framework using MEG neural synchrony to distinguish combat-related PTSD from trauma-exposed controls. Support vector machine (SVM) was used as the core classification algorithm. A recursive random forest feature selection step was directly incorporated in the nested SVM cross validation process (CV-SVM-rRF-FS) for identifying the most important features for PTSD classification. For the five frequency bands tested, the CV-SVM-rRF-FS analysis selected the minimum numbers of edges per frequency that could serve as a PTSD signature and be used as the basis for SVM modelling. Many of the selected edges have been reported previously to be core in PTSD pathophysiology, with frequency-specific patterns also observed. Furthermore, the independent partial least squares discriminant analysis suggested low bias in the machine learning process. The final SVM models built with selected features showed excellent PTSD classification performance (area-under-curve value up to 0.9). Testament to its robustness when distinguishing individuals from a heavily traumatised control group, these developments for a classification model for PTSD also provide a comprehensive machine learning-based computational framework for classifying other mental health challenges using MEG connectome profiles

Vulgarisation agricole et télécommunications

Les nombreuses critiques émises sur le système de formation et de visites et autres approches de transfert technologique ont conduit à une multitude de demandes en faveur d’uneSelon Don Richardson, les organisations impliquées dans la vulgarisation agricole ne peuvent plus rester silencieuses sur les politiques en matière de télécommunications

ICTs – Transforming Agricultural Extension? Report of the 6th Consultative Expert Meeting of CTA’s Observatory on ICTs

This summary report provides an outline of the main issues, developments and trends in agricultural extension, as they relate to ICTs, with a special emphasis on improving rural livelihoods. The report draws on the presentations, case studies and discussions from the CTA Observatory. In doing so, it highlights the potential for, and constraints to, using ICTs for agricultural communication and information exchange, and identifies implications of these issues for CTA.No ICT project should commence before there is a commitment to achieving real development outcomes, and the links between those outcomes and the role for ICTs have been thoroughly assessed..

Post-traumatic stress disorder and health problems among medically ill Canadian peacekeeping veterans

OBJECTIVE: The aim of the present study was to examine the relationship between post-traumatic stress disorder (PTSD) symptom severity and four significant health conditions (gastrointestinal disorders, musculoskeletal problems, headaches, and cardiovascular problems). METHOD: Participants included 707 Canadian peacekeeping veterans with service-related disabilities, from a random, national Canadian survey, who had been deployed overseas. RESULTS: PTSD severity was significantly related to gastrointestinal disorders, musculoskeletal problems, and headaches, but not to cardiovascular problems. Controlling for demographic factors did not affect PTSD\u27s relationships with the three significant health conditions. CONCLUSIONS: The present study supports previous work in finding consistent relations between PTSD severity and specific types of medical problems

Les TIC transforment-elles la vulgarisation agricole?

Ce rapport de synthèse offre un aperçu des principales questions, mutations et tendances du secteur de la vulgarisation agricole, en relation avec les TIC, avec un accent particulier sur l’amélioration des conditions de vie des populations rurale

Posttraumatic Stress Disorder and Health-Related Quality of Life among a Sample of Treatment- and Pension-Seeking Deployed Canadian Forces Peacekeeping Veterans

Objectives: To examine the health-related quality of life (HRQOL) in deployed Canadian Forces peacekeeping veterans, addressing associations with posttraumatic stress disorder (PTSD), and depression severity. Methods: Participants (n = 125) were consecutive male veterans who were referred for a psychiatric assessment. Instruments administered included the Clinician-Administered PTSD Scale, Hamilton Depression Scale, Short-Form-36 Health Survey, and sociodemographic characteristics. Results: Mental HRQOL was significantly lower for peacekeepers with, than without, PTSD. Using univariate analyses, PTSD and depression severity were each significantly negatively related to mental HRQOL. In sequential regression analyses controlling for age, we found that PTSD and depression severity significantly predicted both mental and physical HRQOL. Conclusions: Veterans with PTSD have significant impairments in mental and physical HRQOL. This information is useful for clinicians and Veterans Affairs administrators working with the newer generation of veterans, as it stresses the importance of including measures of quality of life in the psychiatric evaluation of veterans to better address their rehabilitation need

The co-occurrence of PTSD and dissociation: differentiating severe PTSD from dissociative-PTSD

Purpose A dissociative-posttraumatic stress disorder (PTSD) subtype has been included in the DSM-5. However, it is not yet clear whether certain socio-demographic characteristics or psychological/clinical constructs such as comorbid psychopathology differentiate between severe PTSD and dissociative-PTSD. The current study investigated the existence of a dissociative-PTSD subtype and explored whether a number of trauma and clinical covariates could differentiate between severe PTSD alone and dissociative-PTSD. Methods The current study utilized a sample of 432 treatment seeking Canadian military veterans. Participants were assessed with the Clinician Administered PTSD Scale (CAPS) and self-report measures of traumatic life events, depression, and anxiety. CAPS severity scores were created reflecting the sum of the frequency and intensity items from each of the 17 PTSD and 3 dissociation items. The CAPS severity scores were used as indicators in a latent profile analysis (LPA) to investigate the existence of a dissociative-PTSD subtype. Subsequently, several covariates were added to the model to explore differences between severe PTSD alone and dissociative-PTSD. Results The LPA identified five classes: one of which constituted a severe PTSD group (30.5 %), and one of which constituted a dissociative-PTSD group (13.7 %). None of the included, demographic, trauma, or clinical covariates were significantly predictive of membership in the dissociative-PTSD group compared to the severe PTSD group. Conclusions In conclusion, a significant proportion of individuals report high levels of dissociation alongside their PTSD, which constitutes a dissociative-PTSD subtype. Further investigation is needed to identify which factors may increase or decrease the likelihood of membership in a dissociative-PTSD subtype group compared to a severe PTSD only group

Posttraumatic Stress Disorder and Associated Risk Factors in Canadian Peacekeeping Veterans with Health-Related Disabilities

Objectives: This study investigates posttraumatic stress disorder (PTSD) and its associated risk factors in a random, national, Canadian sample of United Nations peacekeeping veterans with service-related disabilities. Methods: Participants included 1016 male veterans (age \u3c 65 years) who served in the Canadian Forces from 1990 to 1999 and were selected from a larger random sample of 1968 veterans who voluntarily and anonymously completed a general health survey conducted by Veterans Affairs Canada in 1999. Survey instruments included the PTSD Checklist-Military Version (PCL-M), Center for Epidemiological Studies-Depression Scale (CES-D), and questionnaires regarding life events during the past year, current stressors, sociodemographic characteristics, and military history. Results: We found that rates of probable PTSD (PCL-M score \u3e 50) among veterans were 10.92% for veterans deployed once and 14.84% for those deployed more than once. The rates of probable clinical depression (CES-D score \u3e 16) were 30.35% for veterans deployed once and 32.62% for those deployed more than once. We found that, in multivariate analyses, probable PTSD rates and PTSD severity were associated with younger age, single marital status, and deployment frequency. Conclusions: PTSD is an important health concern in the veteran population. Understanding such risk factors as younger age and unmarried status can help predict morbidity among trauma-exposed veterans