Worldwide trends on the incidence of renal colic and KSD seem be affected by seasonal variation favoring warmer months, with data suggesting that higher ambient temperature has an association with KSD.

Predictive modeling in medicine involves the development of computational models which are capable of analysing large amounts of data in order to predict healthcare outcomes for individual patients. Computational intelligence approaches are suitable when the data to be modelled are too complex for conventional statistical techniques to process quickly and efficiently. These advanced approaches are based on mathematical models that have been especially developed for dealing with the uncertainty and imprecision which is typically found in clinical and biological datasets. This paper provides a survey of recent work on computational intelligence approaches that have been applied to prostate cancer predictive modeling, and considers the challenges which need to be addressed. In particular, the paper considers a broad definition of computational intelligence which includes evolutionary algorithms (also known as ing the performance of prostate cancer predictive models, and the suitability of these approaches are discussed.

This paper reports an interview study about how consent to sexual activity is computer-mediated. The study's context of online dating is chosen due to the prevalence of sexual violence, or nonconsensual sexual activity, that is associated with dating app-use. Participants (n=19) represent a range of gender identities and sexual orientations, and predominantly used the dating app Tinder. Findings reveal two computer-mediated consent processes: consent signaling and affirmative consent. With consent signaling, users employed Tinder's interface to infer and imply agreement to sex without any explicit confirmation before making sexual advances in-person. With affirmative consent, users employed the interface to establish patterns of overt discourse around sex and consent across online and offline modalities. The paper elucidates shortcomings of both computer-mediated consent processes that leave users susceptible to sexual violence and envisions dating apps as potential sexual violence prevention solutions if deliberately designed to mediate consent exchange. CCS Concepts: • Human-centered computing → Empirical studies in collaborative and social computing; • Social and professional topics → User Characters → Gender; Sexual orientation

Introduction: We introduced a nurse-led telephone-based virtual stone clinic (VSC) follow-up for the surveillance of patients with asymptomatic renal calculi or those at a high risk of recurrent kidney stone disease (KSD). The aim of this study was to look at the outcomes of VSC and its role in the post-COVID era. Methods: Prospective outcomes audit was done for all patients referred to the VSC for a 6-year period (March 2014-April 2020). VSC is led by specialist stone nurses for ongoing surveillance of KSD patients. Results: A total of 290 patients were seen (468 individual appointments; 1.6-1.0 per patient), with a mean age of 57.0-15.8 years (range: 17-92) and a men-women ratio of 3:2. The referral was for surveillance of asymptomatic small renal stones (230, 79.3%); history of recurrent stone disease (45, 15.5%); solitary kidneys (5, 1.7%); cystine stones; young age; and other conditions (10, 3.4%). The mean stone size was 5.0-2.7 mm, followed up with kidney, ureter, and bladder radiograph (225, 77.6%) and ultrasound scan (USS) (65, 22.4%), for median duration of 12 months (range: 3-24 months). At the end, 132 patients (45.6%) remained in VSC, 106 (36.6%) were discharged, 47 (16.2%) returned to face-to-face clinic or treatment, and 5 (1.7%) had emergency admissions. Of 47 patients who returned, 23 (48.9%) developed new symptoms, 21 (44.6%) had stone growth, and 3 defaulted to face-to-face appointment. Thirty-five patients needed surgical intervention (URS-21, SWL-13, and PCNL-1) and 10 were managed conservatively. VSC reduced the cost per clinic appointment from £27.9 to £2 per patient (93% reduction), equating to a total saving of £12,006 for the study period. Conclusion: Nurse-led VSC not only provided a safe follow-up but also allowed to substantially reduce the cost of treatment by allowing patients to be either discharged or return to a face-to-face clinic or surgical intervention if needed. Post-COVID, this model using telemedicine will have a much wider uptake and further help to optimize health care resources.

Existing literature on disability inclusion in the workplace has done little to confront the structural inequalities facing people with disabilities and has instead focused on ideas of assimilation strategies. As a result, in HRD there is a conflation between disability research and research that is “critical.” The purpose of this conceptual article is to examine the persisting influence of ableism on the marginalization experiences of people with disabilities in organizations. Specifically, the present article conceptualizes the effects of ableism on the hiring, retention, and promotion of people with disabilities in organizations. The critical analysis of everyday work experiences of people with disabilities in ableist organizations as offered in this article calls for organizations to fundamentally rethink how they can better support this world’s largest minority group. Implications for HRD research and practice will be discussed.

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The ever increasing complexity of knowledge, skills and abilities (KSAs) demanded of Department of Defense (DoD) personnel has created the need to develop tools to increase the efficiency and effectiveness of training. This is especially true for the F-35, the first 5 th -generation aircraft to use an HMD as the primary instrument display. Additionally, the F-35 can perform operations previously performed by multiple operators, which potentially places incredible strain on the pilot's cognitive resources by exposing him to large amounts of data from disparate sources. It is critical to ensure training results in pilots learning optimal strategies for operating in this information rich environment. This paper discusses current efforts to develop and evaluate a performance monitoring and assessment system which integrates eye tracking and Electroencephalography (EEG) technology into an HMD enabled F-35 training environment to extend traditional behavioral metrics and better understand how a pilot interacts with data presented in the HMD.