Dreams that appear to predict future events that could not have been anticipated through any known inferential processes have been reported for centuries, and dreams that appear to anticipate the death of an acquaintance or loved one are particularly common. Such reports become more suggestive of genuine precognition if there are no natural cues (such as an illness) to an impending death and if the time interval between the dream and the subsequent death is brief. Most reports are difficult to evaluate because we dream many times each night but typically remember and report only a salient subset of our dreams. Thus we cannot assess whether the time interval between a death-related dream and the death of the dream character is brief or lengthy because we have no control set of non-death-related dreams to which its time interval can be compared. The study reported here provides just such a control set by comparing deathrelated and non-death-related dreams featuring the same set of dream characters who died after the dreams occurred. These were drawn from the author's own dream journal in which he has recorded his nightly dreams for nearly twenty-five years. The mean time interval between death-related dreams and the person's subsequent death was significantly shorter than the time interval between non-death-related dreams and his or her death, t(11) = 3.30, p =.004, one-tailed. Cases in which death-related dreams occurred after the characters had died are also considered. Seven of the cases are discussed in detail.
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In large organizations, innovation activities often take place in separate departments, centers, or studios. These departments aim to produce prototypes of solutions to the problems of operational business owners. However, too often these concepts remain in the prototype stage: they are never implemented and fall into what is popularly termed the Valley of Death. A design approach to innovation is presented as a solution to the problem. However, practice shows that teams that use design nevertheless encounter implementation challenges due to the larger infrastructure of the organization they are part of. This research aims to explore which organizational factors contribute to the Valley of Death during design innovation. An embedded multiple case study at a large heritage airline is applied. Four projects are analyzed to identify implementation challenges. A thematic data analysis reveals organizational design, departmental silos, and dissimilar innovation strategies contribute to the formation of, and encounters with, the Valley of Death. Arising resource-assignment challenges that result from these factors are also identified. Materialization, user-centeredness, and holistic problem framing are identified as design practices that mitigate encounters with the Valley of Death, thus leading to projects being fully realized. https://doi.org/10.1111/dmj.12052 LinkedIn: https://www.linkedin.com/in/christine-de-lille-8039372/
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Various companies in diagnostic testing struggle with the same “valley of death” challenge. In order to further develop their sensing application, they rely on the technological readiness of easy and reproducible read-out systems. Photonic chips can be very sensitive sensors and can be made application-specific when coated with a properly chosen bio-functionalized layer. Here the challenge lies in the optical coupling of the active components (light source and detector) to the (disposable) photonic sensor chip. For the technology to be commercially viable, the price of the disposable photonic sensor chip should be as low as possible. The coupling of light from the source to the photonic sensor chip and back to the detectors requires a positioning accuracy of less than 1 micrometer, which is a tremendous challenge. In this research proposal, we want to investigate which of the six degrees of freedom (three translational and three rotational) are the most crucial when aligning photonic sensor chips with the external active components. Knowing these degrees of freedom and their respective range we can develop and test an automated alignment tool which can realize photonic sensor chip alignment reproducibly and fully autonomously. The consortium with expertise and contributions in the value chain of photonics interfacing, system and mechanical engineering will investigate a two-step solution. This solution comprises a passive pre-alignment step (a mechanical stop determines the position), followed by an active alignment step (an algorithm moves the source to the optimal position with respect to the chip). The results will be integrated into a demonstrator that performs an automated procedure that aligns a passive photonic chip with a terminal that contains the active components. The demonstrator is successful if adequate optical coupling of the passive photonic chip with the external active components is realized fully automatically, without the need of operator intervention.
Alcohol use disorder (AUD) is a major problem. In the USA alone there are 15 million people with an AUD and more than 950,000 Dutch people drink excessively. Worldwide, 3-8% of all deaths and 5% of all illnesses and injuries are attributable to AUD. Care faces challenges. For example, more than half of AUD patients relapse within a year of treatment. A solution for this is the use of Cue-Exposure-Therapy (CET). Clients are exposed to triggers through objects, people and environments that arouse craving. Virtual Reality (VRET) is used to experience these triggers in a realistic, safe, and personalized way. In this way, coping skills are trained to counteract alcohol cravings. The effectiveness of VRET has been (clinically) proven. However, the advent of AR technologies raises the question of exploring possibilities of Augmented-Reality-Exposure-Therapy (ARET). ARET enjoys the same benefits as VRET (such as a realistic safe experience). But because AR integrates virtual components into the real environment, with the body visible, it presumably evokes a different type of experience. This may increase the ecological validity of CET in treatment. In addition, ARET is cheaper to develop (fewer virtual elements) and clients/clinics have easier access to AR (via smartphone/tablet). In addition, new AR glasses are being developed, which solve disadvantages such as a smartphone screen that is too small. Despite the demand from practitioners, ARET has never been developed and researched around addiction. In this project, the first ARET prototype is developed around AUD in the treatment of alcohol addiction. The prototype is being developed based on Volumetric-Captured-Digital-Humans and made accessible for AR glasses, tablets and smartphones. The prototype will be based on RECOVRY, a VRET around AUD developed by the consortium. A prototype test among (ex)AUD clients will provide insight into needs and points for improvement from patient and care provider and into the effect of ARET compared to VRET.
Given the increasing mortality rate of glaciers and mountains in the Alps and Iceland: What role can speculative design play in enabling humans and non-humans to face and respond to the death of glaciers and mountains?
