Stereospecific synthesis of the aglycone of pseudopterosin E

No description supplie

LONTalk as a Standard Protocol For Underwater Sensor Platforms

Proceedings IEEE, Oceans 97, Halifax, Oct. 1997 IEEE CD-ROM 0-7803-4111-

Colorado Deer Hunting Experiences

Those responsible for managing environmental resources, like big game, have often posed questions regarding how best to manage and allocate the resource to “provide benefits to people.” One approach to obtaining information for answering these questions is based on consumer behavior concepts and research. Our consumer-oriented approach to deriving management information for environmental resources, particularly game and other recreational resources, rests on ideas conceptualized by Wagar (1966) and having their theoretical base in psychology’s expectancy-value theory (Lawler 1973). The general theoretical orientation we follow is described in Driver and Brown (1975). We also acknowledge a debt to the multiple satisfactions approach to game management articulated by Hendee (1974). The management orientation of this paper suggests that managers should produce opportunities for game-related recreation which recognize the multiple dimensions of the experience. It is the experience that is the important product of recreation, and quality experiences are a function of how well the consumer’s desired satisfactions are fulfilled. Within this orientation, this paper reports characteristics of the Colorado deer hunter population in terms of the kinds of satisfaction that make up deer hunting experiences. In doing so, the usefulness of cluster analytic techniques for social research in wildlife management is illustrated. The information and analytical techniques discussed in this paper have implications for resource valuation, resource allocation, user management, and related aspects of wildlife planning and management

Secret-keeping in therapy by clients who are sexually attracted to children

Objective This study investigated the reasons why pedohebephilic clients disclose their sexual attraction to children in therapy and the experiences associated with this decision among English-speaking samples. Method: The pre-registered online survey combined (1) quantitative correlational data of self-reported improvement, alliance, therapist reaction to disclosure, and the belief that mandatory reporting laws were in place, and (2) qualitative data about reasons for disclosure or no disclosure as well as perceived consequences. The sample consisted of pedohebephilic people who have been clients in therapy and have disclosed (n = 96) or not disclosed (n = 40). Results: While the disclosure and no disclosure groups did not differ in improvement or beliefs about mandatory reporting, those who had disclosed reported a stronger alliance. Clients who did not perceive the therapist’s reaction as supportive reported less improvement than the no disclosure group. Thematic analysis of qualitative data identified three themes concerning motives for disclosing or not disclosing and a fourth regarding differential impacts of disclosure. Discussion: This study indicates that disclosing pedohebephilia does not in and of itself lead to improvement but is contingent on a therapist’s reaction

Scientific, Legal, and Ethical Concerns About AI-Based Personnel Selection Tools: A Call to Action

Organizations are increasingly turning toward personnel selection tools that rely on artificial intelligence (AI) technologies and machine learning algorithms that, together, intend to predict the future success of employees better than traditional tools. These new forms of assessment include online games, video-based interviews, and big data pulled from many sources, including test responses, test-taking behavior, applications, resumes, and social media. Speedy processing, lower costs, convenient access, and applicant engagement are often and rightfully cited as the practical advantages for using these selection tools. At the same time, however, these tools raise serious concerns about their effectiveness in terms of their conceptual relevance to the job, their basis in a job analysis to ensure job relevancy, their measurement characteristics (reliability and stability), their validity in predicting employee-relevant outcomes, their evidence and normative information being updated appropriately, and the associated ethical concerns around what information is being represented to employers and told to job candidates. This paper explores these concerns, concluding with an urgent call to industrial and organizational psychologists to extend existing professional standards for employment testing to these new AI and machine learning based forms of testing, including standards and requirements for their documentation

Measures of promptness of cancer diagnosis in primary care: Secondary analysis of national audit data on patients with 18 common and rarer cancers

Background: Evidence is needed about the promptness of cancer diagnosis and associations between its measures. Methods: We analysed data from the National Audit of Cancer Diagnosis in Primary Care 2009–10 exploring the association between the interval from first symptomatic presentation to specialist referral (the primary care interval, or ‘interval’ hereafter) and the number of pre-referral consultations. Results: Among 13 035 patients with any of 18 different cancers, most (82%) were referred after 1 (58%) or 2 (25%) consultations (median intervals 0 and 15 days, respectively) while 9%, 4% and 5% patients required 3, 4 or 5 þ consultations (median intervals 34, 47 and 97 days, respectively) (Spearman’s r ¼ 0.70). The association was at least moderate for any cancer (Spearman’s r range: 0.55 (prostate) 0.77 (brain)). Patients with cancers with a higher proportion of three or more pre-referral consultations typically also had longer median intervals (e.g., multiple myeloma) and vice versa (e.g., breast cancer). Conclusion: The number of pre-referral consultations has construct validity as a measure of the primary care interval. Developing interventions to reduce the number of pre-referral consultations can help improve the timeliness of cancer diagnosis, and constitutes a priority for early diagnosis initiatives and research

Reply: Timeliness, risk communication and patient preferences for investigations or referral

This is the final version. Available from the publisher via the DOI in this record.Letter to the Edito