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Recent advancements in artificial intelligence (AI) have seen the emergence of smart video surveillance (SVS) in many practical applications, particularly for building safer and more secure communities in our urban environments. Cognitive tasks, such as identifying objects, recognizing actions, and detecting anomalous behaviors, can produce data capable of providing valuable insights to the community through statistical and analytical tools. However, artificially intelligent surveillance systems design requires special considerations for ethical challenges and concerns. The use and storage of personally identifiable information (PII) commonly pose an increased risk to personal privacy. To address these issues, this paper identifies the privacy concerns and requirements needed to address when designing AI-enabled smart video surveillance. Further, we propose the first end-to-end AI-enabled privacy-preserving smart video surveillance system that holistically combines computer vision analytics, statistical data analytics, cloud-native services, and end-user applications. Finally, we propose quantitative and qualitative metrics to evaluate intelligent video surveillance systems. The system shows the 17.8 frame-per-second (FPS) processing in extreme video scenes. However, considering privacy in designing such a system results in preferring the pose-based algorithm to the pixel-based one. This choice resulted in dropping accuracy in both action and anomaly detection tasks. The results drop from 97.48% to 73.72% in anomaly detection and 96% to 83.07% in the action detection task. On average, the latency of the end-to-end system is 36.1 seconds.

Complex systems are characterized by strong coupling between different microscopic degrees of freedom. Photoexcitation of such materials can drive them into new transient and long-lived hidden phases that may not have any counterparts in equilibrium. By exploiting femtosecond time- and angle-resolved photoemission spectroscopy, we probe the photoinduced transient phase and the recovery dynamics of the ground state in a complex material: the charge density wave (CDW)-Mott insulator 1$T$-TaS$_2$. We reveal striking similarities between the band structures of the transient phase and the (equilibrium) structurally undistorted metallic phase, with evidence for the coexistence of the low-temperature Mott insulating phase and high-temperature metallic phase. Following the transient phase, we find that the restoration of the Mott and CDW order begins around the same time. This highlights that the Mott transition is tied to the CDW structural distortion, although earlier studies have shown that the collapse of Mott and CDW phases are decoupled from each other. Interestingly, as the suppressed order starts to recover, a long-lived metastable phase emerges before the material recovers to the ground state. Our results demonstrate that it is the CDW lattice order that drives the material into this metastable phase, which is indeed a commensurate CDW-Mott insulating phase but with a smaller CDW amplitude. Moreover, we find that the long-lived state emerges only under strong photoexcitation and has no evidence when the photoexcitation strength is weak.

Supplemental material, sj-docx-1-jop-10.1177_02698811221095832 for Males and females differ in reported sexual functioning with escitalopram treatment for major depressive disorder: A CAN-BIND-1 study report by Caroline Espinola, Yuelee Khoo, Roohie Parmar, Ilya Demchenko, Benicio N Frey, Roumen V Milev, Arun V Ravindran, Sagar V Parikh, Keith Ho, Susan Rotzinger, Wendy Lou, Raymond W Lam, Sidney H Kennedy and Venkat Bhat in Journal of Psychopharmacology

Supplemental material, sj-docx-1-cpa-10.1177_07067437221099769 for Canadian Network for Mood and Anxiety Treatments (CANMAT) Task Force Report: A Systematic Review and Recommendations of Cannabis use in Bipolar Disorder and Major Depressive Disorder by Smadar V. Tourjman, Gabriella Buck, Didier Jutras-Aswad, Atul Khullar, Shane McInerney, Gayatri Saraf, Jairo V. Pinto, Stephane Potvin, Marie-Josée Poulin, Benicio N. Frey, Sidney H. Kennedy, Raymond W. Lam, Glenda MacQueen, Roumen Milev, Sagar V. Parikh, Arun Ravindran, Roger S. McIntyre, Ayal Schaffer, Valerie H. Taylor, Michael van Ameringen, Lakshmi N. Yatham and Serge Beaulieu in The Canadian Journal of Psychiatry

Supplemental material, sj-docx-1-jop-10.1177_02698811221095832 for Males and females differ in reported sexual functioning with escitalopram treatment for major depressive disorder: A CAN-BIND-1 study report by Caroline Espinola, Yuelee Khoo, Roohie Parmar, Ilya Demchenko, Benicio N Frey, Roumen V Milev, Arun V Ravindran, Sagar V Parikh, Keith Ho, Susan Rotzinger, Wendy Lou, Raymond W Lam, Sidney H Kennedy and Venkat Bhat in Journal of Psychopharmacology

IntroductionThe COVID-19 pandemic has presented many health and social care challenges that have centralized concerns that exist at the intersections of physical and mental health, particularly among equity-seeking populations. Our team of researchers, knowledge users, and patient advisors undertook a scoping review and a rapid realist review to examine interventions to mitigate mental health responses among those with a condition that presents risk of severe COVID-19 infection. This presentation will focus on the findings from the rapid realist review component of our work.Aims Objectives Theory or MethodsThe realist approach identifies contextual factors that trigger underlying, invisible mechanisms associated with intended outcomes, known as context-mechanism-outcomes configurations. Realist literature reviews explain how and why contextual factors act as facilitators or barriers for intended outcomes; they uncover the ‘black box’ of mechanisms. We constructed a socio-ecological Mental Health Promotion Framework with context-mechanism-outcome configurations to explain why certain mental health interventions work and provide guidance for post-pandemic recovery. The Framework has four systems levels: the health policy level; primary health care/integrated care; the community; individuals, families, and caregivers. The five framework mechanisms are: trust, accountability, power, resilience, and social connectedness.Highlights or Results or Key FindingsOur rapid realist review was a critical assessment of health and social care systems in the context of the COVID-19 pandemic. The review clearly demonstrated the intersections that occur among health and social inequities, physical health, and mental health. The need for more integrated health and social care was evident across all four systems levels with respect to mental health promotion. Societal recovery from the pandemic presents an opportunity to reverse societal imbalances through a comprehensive, inclusive, and integrated 'reset' of Canada’s uncoordinated health and social care systems. Canada has one of the most decentralized governments in the world, comprised of several federal health systems and thirteen provincial/territorial systems that typically operate independently of one another. For example, federal funding mechanisms do not hold the provincial and territorial governments accountable, particularly for social care. A framework that promotes integration within and across systems levels is needed to hold all levelsConclusionsCOVID-19 highlighted health and social inequities in Canada that can no longer be ignored. Better integration of Canadian health and social care systems must be a long-term strategy. Specific contextual factors and underlying mechanisms are associated with improved mental health promotion outcomes for diverse Canadian populations and equity-seeking groups.Implications for applicability/transferability sustainability and limitations Effective responses to COVID-19’s aftermath will necessitate health and social care reforms. Our Mental Health Promotion Framework, constructed through a rapid realist review approach, provides evidence for optimal integration of mental health policy and promotion practices across four systems levels of our Canadian public health care system.

Supplemental Material, sj-docx-1-cpa-10.1177_0706743720979917 for Plant-based Medicines (Phytoceuticals) in the Treatment of Psychiatric Disorders: A Meta-review of Meta-analyses of Randomized Controlled Trials: Les médicaments à base de plantes (phytoceutiques) dans le traitement des troubles psychiatriques: une méta-revue des méta-analyses d’essais randomisés contrôlés by Jerome Sarris, Wolfgang Marx, Melanie M. Ashton, Chee H. Ng, Nicole Galvao-Coelho, Zahra Ayati, Zhang-Jin Zhang, Siegfried Kasper, Arun Ravindran, Brian H. Harvey, Adrian Lopresti, David Mischoulon, Jay Amsterdam, Lakshmi N. Yatham and Michael Berk in The Canadian Journal of Psychiatry

Additional file 4. Sample of generalized monthly email. Description of data: Sample of the first generalized monthly email that was sent to the lead implementer(s) at FHTs allocated to Group B.

Additional file 1. TIDieR checklist.

Additional file 2. CONSORT checklist.

Mez is a publish-subscribe messaging system for latency sensitive multi-camera machine vision at the IoT Edge. Unlike existing messaging systems, Mez allows applications to specify latency, and application accuracy bounds. Mez implements a network latency controller that dynamically adjusts the video frame quality to satisfy latency, and application accuracy requirements. Additionally, the design of Mez utilizes application domain specific features to provide low latency operations. Experimental evaluation on an IoT Edge testbed with a pedestrian detection machine vision application indicates that Mez is able to tolerate latency variations of up to 10x with a worst-case reduction of 4.2\% in the application accuracy F1 score metric., Comment: Under review ACM Transactions on Internet of Things

Supplemental Material, sj-docx-1-cpa-10.1177_0706743720974823 for Cognition and Its Association with Psychosocial and Occupational Functioning during Treatment with Escitalopram in Patients with Major Depressive Disorder: A CAN-BIND-1 Report: La Cognition Et Son Association Avec Le Fonctionnement Psychosocial Et Professionnel Durant Le Traitement Par Escitalopram Chez Des Patients Souffrant De Trouble Dépressif Majeur: Une Étude Can-Bind-1 by Shane J. McInerney, Trisha Chakrabarty, Malgorzata Maciukiewicz, Benicio N. Frey, Glenda M. MacQueen, Roumen V. Milev, Arun V. Ravindran, Susan Rotzinger, Sidney H. Kennedy, Raymond W. Lam and On behalf of the CAN-BIND Investigator Team in The Canadian Journal of Psychiatry

Additional file 1 Table S1. The mean and standard deviation for age, the WHOQOL-BREF, and the BFI scores.

Supplemental Material, sj-docx-3-cpa-10.1177_0706743720974823 for Cognition and Its Association with Psychosocial and Occupational Functioning during Treatment with Escitalopram in Patients with Major Depressive Disorder: A CAN-BIND-1 Report: La Cognition Et Son Association Avec Le Fonctionnement Psychosocial Et Professionnel Durant Le Traitement Par Escitalopram Chez Des Patients Souffrant De Trouble Dépressif Majeur: Une Étude Can-Bind-1 by Shane J. McInerney, Trisha Chakrabarty, Malgorzata Maciukiewicz, Benicio N. Frey, Glenda M. MacQueen, Roumen V. Milev, Arun V. Ravindran, Susan Rotzinger, Sidney H. Kennedy, Raymond W. Lam and On behalf of the CAN-BIND Investigator Team in The Canadian Journal of Psychiatry

Software bugs in a production environment have an undesirable impact on quality of service, unplanned system downtime, and disruption in good customer experience, resulting in loss of revenue and reputation. Existing approaches to automated software bug repair focuses on known bug templates detected using static code analysis tools and test suites, and in automatic generation of patch code for these bugs. We describe the typical bug fixing process employed in the Linux kernel, and motivate the need for a new automated tool flow to fix bugs. We present an initial design of such an automated tool that uses Recurrent Neural Network (RNN) based Natural Language Processing to generate patch recommendations from user generated bug reports. At the 50th percentile of the test bugs, the correct patch occurs within the top 11.5 patch recommendations output by the model. Further, we present a Linux kernel developer's assessment of the quality of patches recommended for new unresolved kernel bugs.

Supplemental Material, sj-docx-2-cpa-10.1177_0706743720974823 for Cognition and Its Association with Psychosocial and Occupational Functioning during Treatment with Escitalopram in Patients with Major Depressive Disorder: A CAN-BIND-1 Report: La Cognition Et Son Association Avec Le Fonctionnement Psychosocial Et Professionnel Durant Le Traitement Par Escitalopram Chez Des Patients Souffrant De Trouble Dépressif Majeur: Une Étude Can-Bind-1 by Shane J. McInerney, Trisha Chakrabarty, Malgorzata Maciukiewicz, Benicio N. Frey, Glenda M. MacQueen, Roumen V. Milev, Arun V. Ravindran, Susan Rotzinger, Sidney H. Kennedy, Raymond W. Lam and On behalf of the CAN-BIND Investigator Team in The Canadian Journal of Psychiatry

The Canadian Network for Mood and Anxiety Treatments published guidelines for the management of bipolar disorder in 2005, with updates in 2007 and 2009. This third update, in conjunction with the International Society for Bipolar Disorders, reviews new evidence and is designed to be used in conjunction with the previous publications.The recommendations for the management of acute mania remain largely unchanged. Lithium, valproate, and several atypical antipsychotic agents continue to be first-line treatments for acute mania. Monotherapy with asenapine, paliperidone extended release (ER), and divalproex ER, as well as adjunctive asenapine, have been added as first-line options.For the management of bipolar depression, lithium, lamotrigine, and quetiapine monotherapy, as well as olanzapine plus selective serotonin reuptake inhibitor (SSRI), and lithium or divalproex plus SSRI/bupropion remain first-line options. Lurasidone monotherapy and the combination of lurasidone or lamotrigine plus lithium or divalproex have been added as a second-line options. Ziprasidone alone or as adjunctive therapy, and adjunctive levetiracetam have been added as not-recommended options for the treatment of bipolar depression. Lithium, lamotrigine, valproate, olanzapine, quetiapine, aripiprazole, risperidone long-acting injection, and adjunctive ziprasidone continue to be first-line options for maintenance treatment of bipolar disorder. Asenapine alone or as adjunctive therapy have been added as third-line options. © 2012 John Wiley and Sons A/S.

Additional file 3 Mood Management Resource – Self-awareness: managing your mood. Description of data: A self-management resource offered to patients as part of the mood management intervention.

Additional file 3 Mood Management Resource – Self-awareness: managing your mood. Description of data: A self-management resource offered to patients as part of the mood management intervention.

BACKGROUND Available evidence on the comparative efficacy and acceptability of psychotherapies for post-traumatic stress disorder (PTSD) in children and adolescents remains uncertain. OBJECTIVE We aimed to compare and rank the different types and formats of psychotherapies for PTSD in children and adolescents. METHODS We searched eight databases and other international registers up to 31 December 2020. The pairwise meta-analyses and frequentist network meta-analyses estimated pooled standardised mean differences (SMDs) and ORs with random-effects model. Efficacy at post-treatment and follow-up, acceptability, depressive and anxiety symptoms were measured. FINDINGS We included 56 randomised controlled trials with 5327 patients comparing 14 different types of psychotherapies and 3 control conditions. For efficacy, cognitive processing therapy (CPT), behavioural therapy (BT), individual trauma-focused cognitive-behavioural therapy (TF-CBT), eye movement desensitisation and reprocessing, and group TF-CBT were significantly superior to all control conditions at post-treatment and follow-up (SMDs between -2.42 and -0.25). Moreover, CPT, BT and individual TF-CBT were more effective than supportive therapy (SMDs between -1.92 and -0.49). Results for depressive and anxiety symptoms were similar to the findings for the primary outcome. Most of the results were rated as 'moderate' to 'very low' in terms of confidence of evidence. CONCLUSIONS CPT, BT and individual TF-CBT appear to be the best choices of psychotherapy for PTSD in young patients. Other types and different ways of delivering psychological treatment can be alternative options. Clinicians should consider the importance of each outcome and the patients' preferences in real clinical practice.