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The diagnosis of psychosis in individuals with autism spectrum disorder (ASD) poses a unique clinical challenge. The presence of intellectual disability (ID) further complicates the diagnostic picture. Reliable and timely diagnosis of psychosis in such individuals minimises the duration of untreated psychotic symptoms and the subsequent impact on the quality of life of the patients concerned. The paper aims to discuss this issue.

The authors present four patients with psychosis, ASD and ID, who have received care within forensic mental health and ID settings. These examples demonstrate the interaction between these conditions, as well as issues pertaining to diagnosis and management.

In all four patients, sustained use of antipsychotic medication was objectively associated with an improvement in psychotic symptoms and quality of life. In instances where autistic phenomena were accentuated upon development of psychosis, such features returned to the baseline levels evident prior to the onset of psychosis.

The discussion and related case examples could improve the understanding of the possibility of psychosis in individuals with ASD and ID, and increase awareness of this diagnostic possibility among healthcare professionals.

This is the first published case series illustrating the challenges of diagnosing psychosis in individuals with ASD and ID.

This paper aims to clarify the relationship between mechanical behaviors and the underlying geometry of periodic cellular structures. Particularly, the answer to the following research question is investigated: Can seemingly different geometries of the repeating unit cells of periodic cellular structure result in similar functional behaviors? The study aims to cluster the geometry-functional behavior relationship into different categories.

Specifically, the effects of the geometry on the compressive deformation (mechanical behavior) responses of multiple standardized cubic periodic cellular structures (CPCS) at macro scales are investigated through both physical tests and finite element simulations of three-dimensional (3D) printed samples. Additionally, these multiple CPCS can be further nested into the shell of 3D models of various mechanical domain parts to demonstrate the influence of their geometries in practical applications.

The paper provides insights into how different CPCS (geometrically different unit cells) influence their compressive deformation behaviors. It suggests a standardized strategy for comparing mechanical behaviors of different CPCS.

This paper is the first work in the research domain to investigate if seemingly different geometries of the underlying unit cell can result in similar mechanical behaviors. It also fulfills the need to infill and lattify real functional parts with geometrically complex unit cells. Existing work mainly focused on simple shapes such as basic trusses or cubes with spherical holes.

Part quality inspection is playing a critical role in the metal additive manufacturing (AM) industry. It produces a part quality analysis report which can be adopted to further improve the overall part quality. However, the part quality inspection process puts heavy reliance on the engineer’s background and experience. This manual process suffers from both low efficiency and potential errors and, therefore, cannot meet the requirement of real-time detection. The purpose of this paper is to look into a deep neural network, Convolutional Neural Network (CNN), towards a robust method for online monitoring of AM parts.

The proposed online monitoring method relies on a deep CNN that takes a real metal AM part’s images as inputs and the part quality categories as network outputs. The authors validate the efficacy of the proposed methodology by recognizing the “beautiful-weld” category from material CoCrMo top surface images. The images of “beautiful-weld” parts that show even hatch lines and appropriate overlaps indicate a good quality of an AM part.

The classification accuracy of the developed method using limited information of a small local block of an image is 82 per cent. The classification accuracy using the full image and the ensemble of model outputs is 100 per cent.

A real-world data set of high resolution images of ASTM F75 I CoCrMo-based three-dimensional printed parts (Top surface images with magnification 63×) annotated with categories labels. Development of a CNN-based classification model for the supervised learning task of recognizing a “beautiful-weld” AM parts. The classification accuracy using the full image and the ensemble of model outputs is 100 per cent.

The purpose of this paper is to describe key policy and practice issues regarding a significant subgroup of people with intellectual disability – those with offending behaviour being treated in forensic hospitals.

The reasons why psychiatrists continue to be involved in the treatment of people with intellectual disability and mental health or behavioural problems and the factors that may lead to patients needing hospital admission are examined. Using two illustrative examples, three key questions – containment vs treatment, hospital care vs conditional discharge and hospital treatment vs using deprivation of liberty safeguards usage in the community are explored.

Patients with intellectual disability, mental health problems and offending behaviours who are treated within forensic inpatient units tend to have long lengths of stay. The key variable that mediates this length of stay is the risk that they pose to themselves or others. Clinicians work within the framework of mental health law and have to be mindful that pragmatic solutions to hasten discharge into the community may not fall within the law.

This paper makes practical suggestions for the future on how to best integrate hospital and community care for people with intellectual disability, mental health and offending behaviours.

The 11th revision of the International Classification of diseases which sets global standards for defining, reporting and managing health conditions is under way. The International Classification of Diseases (ICD) underpinning principle of clinical utility is currently poor for persons with Disorders of Intellectual Development (DID) and mental disorders. This impedes access to healthcare resources; services and social inclusion thereby further aggravating their vulnerability. The purpose of this paper is to present a critical overview and evidence informed recommendations within the context of an international collaborative programme, undertaken by the Faculty of Psychiatry of Intellectual Disability, Royal College of Psychiatrists, UK with support from the World Health Organisation (WHO).

The authors carried out: first, a systematic review (SR) of literature, using PRISMA guidelines regarding the reliability, validity and utility of the ICD-10/Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic criteria in people with DID (PWDID); second, a national and international consultation exercise with partners, stakeholders and experts; third, a multicentric survey of problem behaviours in PWDID; and finally, information dissemination/dialogues including presentations and workshops at key scientific events, consultation networking, data gathering and consensus building.

The SR revealed a dearth of robust studies – most consisting of weak research methodologies. Significant difficulties were highlighted regarding the application of diagnostic criteria in the current classificatory systems – particularly in people with severe/moderate DID. Recommendations supported the introduction WHERE APPROPRIATE of modifications based on observed phenomena (signs) in PWDID in lieu of reported symptoms to facilitate DIAGNOSIS AND better access to healthcare and the community. Heterogeneity precluded quantitative pooling and meta-analysis. The consensus building exercise globally revealed that problem behaviours were the commonest reasons for referral to healthcare services with significant numbers without a diagnosed mental disorder being prescribed psychoactive medication.

The consensus gathering exercise WAS SELECTIVE AND did not cover all of the 194 member states of WHO due to resource and time constraints and this constitutes the main limitation of our study. Based on the SR and expert consensus, the authors submitted evidence informed pragmatic proposals to the WHO aimed at addressing the shortcomings of the ICD-10. The key recommendations focused on improving clinical utility within the context of epistemic iteration which would consolidate and strengthen the future evidence base. It was also recommended that self-injurious behaviour should form a standalone sub category in view of its relevance for healthcare services and resources which underpin clinical utility.

The ICD-11 is a global, multidisciplinary and multilingual development for public health benefit with 70 per cent of the world's health expenditures assigned using this system for resource allocation. Currently mental disorders in PWDID can be misinterpreted, unrecognised and under reported resulting in barriers to access to treatment and healthcare resources. Conversely disorders may be over diagnosed when the inherent discrepancies between the chronological age and the developmental level of functioning are not considered. Conclusions and recommendations from this study will result in better diagnosis of mental disorders and healthcare resources in this population.

PWDID are a vulnerable sector of the population with an increased prevalence of mental health problems who are marginalised and discriminated by society. Early detection, treatment and management of these conditions will prevent further decompensation and stigmatisation.

To the best of the authors knowledge this is the first comprehensive, large-scale study which evaluates the ICD classificatory system within the context of clinical utility for PWDID, including experts and stakeholders from both lower/middle- and high-income countries. The international consultation/consensus building process culminating in the formulation of evidence informed recommendations, aimed at improving the clinical utility of the ICD-11 for this population, has the potential to improve access to appropriate healthcare and treatment and consequent enhancement of their quality of life.

Ostensibly the case is about an employee resigning from the organization due to lack of support, job clarity, and information about reporting structure. It addresses issues of socialization process, performance appraisal, and communication issue between colleagues in a consulting organization. The case serves as medium for diagnosis and action planning around integration of new employees into the organization, effective performance appraisal, and resolving communication barriers.

“NTL suffered huge losses in its foreign exchange hedging activities as its highly complex leveraged structured products backfired badly in the wake of the Global Financial Crisis of 2007 and 2008. The CFO and the Treasury head have both been sacked, and Joshi, the new CFO, has embraced aggressive litigation as NTL's survival strategy to cope with the losses that threaten its solvency. In the meantime, NTL also faces tax investigations and whistleblower allegations of fraud, and it finds that the record-keeping of its derivative transactions was hopelessly incomplete and patchy. A complete reconstruction of the entire derivative transaction history is the only way to rebuild trust, and that task falls on Reddy, a seasoned derivatives expert brought in by the Board specifically for this purpose.

In this dire situation, Seth, the founder Chairman of NTL decides that NTL needs to put all this behind it and focus on rebuilding the business. The challenge for Seth, Joshi and Reddy is to go about doing this in an environment that offers very few rays of hope.”

Fresh and short food supply chains in grocery quick commerce (q-grocery FSFSCs), while valued for swift delivery, face challenges in sustainability, resource efficiency and scalability. This study aims to redesign the last mile of q-grocery FSFSCs by identifying and validating a framework of applicable circular economy (CE) practices. Furthermore, the study assesses the impact of these practices across various sustainability dimensions to understand their level of contribution to sustainable livelihoods and supply chain resilience.

The study employs a multi-phase approach. First, an integrative literature review identifies CE practices and strategies. Second, a survey gathers data on the relationship between these practices and strategies and their impact on sustainability. Third, the framework is validated using the partial least squares structural equation modeling (PLS-SEM) method in WarpPLS 8.0. Finally, k-means cluster analysis in Tableau 2019.4 groups CE practices based on their impact across five sustainability dimensions: environmental, economic, social, resource efficiency and scalability.

The study validates a framework and identifies high-impact CE practices, such as waste reduction, sustainable packaging, sustainable sourcing, route optimization, sustainable processes and customer convenience. Medium-impact practices include energy efficiency, sustainable fleet, resale and redistribution and information flow. Low-impact practices cover composting, reverse logistics and appropriate storage.

The findings assist q-grocery companies to adopt CE practices and strategies that support sustainable livelihoods and strengthen supply chain resilience while offering policymakers guidance to promote circularity.

This study is unique in the exploration of the intersection of quick commerce, FSFSCs and CE principles, providing actionable insights for sustainability in the q-grocery industry.

The Olympic Gold Quest (OGQ) was founded as a Non-profit to support Indian athletes in their quest to win Olympic Gold medals by bridging the gap between the best athletes in India and in the world. The support from OGQ has been instrumental to India in winning its highest number of medals at any summer Olympics. Buoyed by this success, OGQ has set up a target of achieving eight Olympic medals at the 2016 Rio Olympic Games. With OGQ relying on donations to support the athletes, the challenge is to market the Olympic cause by creating, communicating, and delivering the right offering for its donors.