Enhancing surface drainage mapping in eastern Canada with deep learning applied to LiDAR-derived elevation data.

Agricultural dykelands in Nova Scotia rely heavily on a surface drainage technique called land forming, which is used to alter the topography of fields to improve drainage. The presence of land-formed fields provides useful information to better understand land utilization on these lands vulnerable to rising sea levels. Current field boundaries delineation and classification methods, such as manual digitalization and traditional segmentation techniques, are labour-intensive and often require manual and time-consuming parameter selection. In recent years, deep learning (DL) techniques, including convolutional neural networks and Mask R-CNN, have shown promising results in object recognition, image classification, and segmentation tasks. However, there is a gap in applying these techniques to detecting surface drainage patterns on agricultural fields. This paper develops and tests a Mask R-CNN model for detecting land-formed fields on agricultural dykelands using LiDAR-derived elevation data. Specifically, our approach focuses on identifying groups of pixels as cohesive objects within the imagery, a method that represents a significant advancement over pixel-by-pixel classification techniques. The DL model developed in this study demonstrated a strong overall performance, with a mean Average Precision (mAP) of 0.89 across Intersection over Union (IoU) thresholds from 0.5 to 0.95, indicating its effectiveness in detecting land-formed fields. Results also revealed that 53% of Nova Scotia's dykelands are being used for agricultural purposes and approximately 75% (6924 hectares) of these fields were land-formed. By applying deep learning techniques to LiDAR-derived elevation data, this study offers novel insights into surface drainage mapping, enhancing the capability for precise and efficient agricultural land management in regions vulnerable to environmental changes.

Whole-brain morphometry in Canadian soldiers with posttraumatic stress disorder.

Patients with posttraumatic stress disorder (PTSD) display several structural brain differences when compared with healthy individuals. However, findings are particularly inconsistent for soldiers with PTSD. Here, we characterized the brain morphometry of 37 soldiers from the Canadian Armed Forces with adulthood war-related PTSD using structural magnetic resonance imaging. We assessed time since trauma, as well as PTSD, depressive, and anxiety symptoms with the Modified PTSD Symptoms Scale, Beck Depression Inventory, and Beck Anxiety Inventory, respectively. Whole-brain morphometry was extracted with FreeSurfer and compared with a validated normative database of more than 2700 healthy individuals. Volume and thickness from several regions differed from the norms. Frontal regions were smaller and thinner, particularly the superior and rostral middle frontal gyri. Furthermore, smaller left rostral middle frontal gyrus, left pericalcarine cortex, and right fusiform gyrus were associated with more recent trauma. All subcortical structures were bigger, except the hippocampus. These findings suggest a particular brain morphometric signature of PTSD in soldiers. Smaller and thinner frontal and larger subcortical regions support impaired top-down and/or downregulation of emotional response in PTSD. Finally, the correlation of smaller frontal, temporal, and occipital regions with more recent trauma might inform future therapeutic approaches.

Four Decades of Military Posttraumatic Stress: Protocol for a Meta-analysis and Systematic Review of Treatment Approaches and Efficacy.

BACKGROUND: Over 85% of active members of the Canadian Armed Forces have been exposed to potentially traumatic events linked to the development of posttraumatic stress disorder (PTSD). At the time of transition to civilian life, as high as 1 in 8 veterans may be diagnosed with PTSD. Given the high prevalence of PTSD in military and veteran populations, the provision of effective treatment considering their unique challenges and experiences is critical for mental health support and the well-being of these populations. OBJECTIVE: This paper presents the protocol for a meta-analysis and systematic review that will examine the effectiveness of treatment approaches for military-related PTSD. METHODS: This PROSPERO-preregistered meta-analysis is being conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and Cochrane guidelines. A comprehensive search of the literature was conducted using the databases PsycInfo, Medline, Embase, CINAHL, and ProQuest Dissertation & Theses. Effect sizes will be computed based on changes in PTSD symptom scores over time across studies using validated PTSD scales. A multilevel meta-analysis will examine the overall effects, between-study effects, and within-study effects of available evidence for PTSD treatments in military populations. Effect sizes will be compared between pharmacotherapeutic, psychotherapeutic, and alternative/emerging treatment interventions. Finally, meta-regression and subgroup analyses will explore the moderating roles of clinical characteristics (eg, PTSD symptom clusters), treatment approaches (eg, therapeutic orientations in psychotherapy and alternative therapies and classifications of drugs in pharmacotherapy), as well as treatment characteristics (eg, length of intervention) on treatment outcomes. RESULTS: The literature search was completed on April 14, 2021. After the removal of duplicates, a total of 12,002 studies were screened for inclusion. As of July 2021, title and abstract screening has been completed, with 1469 out of 12,002 (12.23%) studies included for full-text review. Full review is expected to be completed in the summer of 2021, with initial results expected for publication by early winter of 2021. CONCLUSIONS: This meta-analysis will provide information on the current state of evidence on the efficacy and effectiveness of various treatment approaches for military-related PTSD and identify factors that may influence treatment outcomes. The results will inform clinical decision-making for service providers and service users. Finally, the findings will provide insights into future treatment development and practice recommendations to better support the well-being of military and veteran populations. TRIAL REGISTRATION: PROSPERO CRD42021245754; https://tinyurl.com/y9u57c59. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/33151.

Duloxetine in adults with ADHD: a randomized, placebo-controlled pilot study.

OBJECTIVE: To assess the effect of duloxetine on ADHD in adults. METHOD: In a 6-week double-blind trial, 30 adults with ADHD received placebo or duloxetine 60 mg daily. The Conners' Adult ADHD Rating Scale (CAARS) and the Clinical Global Impression Scales (CGI) were used to assess symptom severity and clinical improvement. The Hamilton Anxiety Rating Scale (HARS) and the Hamilton Depression Rating Scale (HDRS) were used to measure the effect on anxiety and depressive symptoms. RESULTS: The Duloxetine group showed lower score on CGI-Severity at Week 6 (3.00 vs. 4.07 for placebo, p < .001), greater improvement on CGI-Improvement (2.89 vs. 4.00 at Week 6, p < .001), and greater decreases on five of eight subscales of the CAARS. There was no treatment group effect on HDRS or HARS scores. CONCLUSION: Duloxetine may be a therapeutic option for adults with ADHD, but further studies are required to replicate these findings in larger samples.

Staff perceptions and organizational factors as predictors of seclusion and restraint on psychiatric wards.

OBJECTIVE: Several factors have been shown to be involved in decisions to use seclusion and restraint in psychiatric inpatient settings. This study examined whether staff perceptions of factors related to the care team and violence on the ward predicted use of seclusion and restraint in psychiatric wards. METHODS: A total of 309 staff members (nurses, rehabilitation instructors, and nurse's aides) providing care to patients with serious mental disorders were recruited from eight university psychiatric hospitals and general-hospital psychiatric units in the province of Quebec. Factors assessed included sociodemographic characteristics, psychological distress, staff perceptions of aggression and of interaction between members of the psychiatric team (team climate), and organizational factors. RESULTS: Bivariate analyses showed that certain aspects of the team climate, staff perceptions of aggression, and organizational factors were associated with greater use of seclusion and restraint. The final multivariate model indicated that the following factors independently predicted greater use: type of hospital ward (emergency department and intensive care unit), staff perception of a higher level of expression of anger and aggression among team members, perception of the frequency of incidents of physical aggression against the self among patients, and perception of insufficient safety measures in the workplace. CONCLUSIONS: These findings represent the first stage of a research program aimed at reducing use of seclusion and restraint in psychiatric settings. They underscore the importance of evaluating a variety of factors, including perceptions of safety and violence, when examining reasons for use of these controversial interventions.

Depolymerization of steam-treated lignin for the production of green chemicals.

In this short communication, lignin produced by steam processing of agricultural (hemp) and forestry (softwood) was depolymerised via a base catalysis to produce a combination of monomers, dimers, trimers and residual char. The lignin broth produced directly after the base-catalysed steam treatment was treated under pressure (from 1300 to 1900 psi) at temperatures varying from 300 to 330 °C in a custom-made batch reactor. The lignin concentration in the aqueous base solution was 10 wt% whilst the NaOH concentration was 5 wt%. Identification of 26 compounds has been done: 17 compounds were common to the two feedstocks while the remaining 9 were specific to each feedstock used.

Improvement with duloxetine in an adult ADHD patient.

INTRODUCTION: Attention-deficit/hyperactivity disorder (ADHD) is a common and disabling disorder among adults and is treated with stimulant and non stimulant medication. OBJECTIVE: To report the case of a patient with ADHD showing good clinical response to duloxetine, a selective serotonin and norepinephrine reuptake inhibitor (SSNRI). CASE PRESENTATION: A 53 year-old man with a recently diagnosed ADHD was successfully treated with duloxetine 60 mg and showed reduced scores on the Conners' Adult ADHD Rating Scales - Self-Report Scale: Short Version (CAARS-S:S). CONCLUSION: Duloxetine could be an option for patients who either do not tolerate or show resistance to more common pharmacological choices. Randomized controlled trials are needed to assess the efficacy of duloxetine in treating ADHD symptoms.