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The present invention relates to novel enantiomerically pure intermediary compounds containing specifically substituted tetrahydrofuran structures as well as a method for preparing such intermediary compounds of formula (I), in which the carbon atom in the 2-position has (R)- or (S)-configuration; the substituents in the 2- and 3-positions are trans-related; the substituents in the 3- and 4-positi
By employing a critical perspective toward a broad range of organizational subjects, Mats Alvesson has managed to challenge much of the conventional understanding of modern organizations and, subsequently, produce a series of alternative insights that has substantially developed organizational research and potentially enabled both organizational and societal change. While this has included the est
Lingua-Palatal #2, has been totally recomposed in 2020, and is written for four voices that use close amplification to heighten the resonant differences between the oral and nasal cavities. This should be a very strong effect, as if the listener is actually inside the cavity. Therefore, special care must be given to the microphone type and placement. It might even be possible to put microphones in
In parallel with the decrease in cost, size and weight of Unmanned Aerial Vehicles (UAVs) and the increase of their flight autonomy, many commercial applications are rapidly arising. Most of those applications rely on a communications system between a terrestrial base station and the UAV. Due to the UAV movement, time-variant channel models are required. In this article, we propose a geometrical m
In platform software ecosystems, organizations partner and innovate together. Success and innovation depend on managing complex sets of business relationships and stakeholders and using a requirements-selection process. We describe the associated challenges and strategies from the study of two large proprietary platform ecosystems.
The Covid Symptom Study, a smartphone-based surveillance study on COVID-19 symptoms in the population, is an exemplar of big data citizen science. As of May 23rd, 2021, over 5 million participants have collectively logged over 360 million self-assessment reports since its introduction in March 2020. The success of the Covid Symptom Study creates significant technical challenges around effective da
Traditional network architecture design of Low Power Wide Area Networks (LPWAN) is incapable of dynamically scaling resources based on the served traffic and requires manual procedures for network capacity upgrades. Today's over-provisioning approach based on proprietary hardware (HW) would not be cost and energy efficient to cope with the ever-increasing scale of Internet of Things (IoT) devices
The Global Hyperorgan is an intercontinental, creative space for acoustic musicking. Existing pipe organs around the world are networked for real-time, geographicallydistant performance, with performers utilizing instruments and other input devices to collaborate musically through the voices of the pipes in each location. A pilot study was carried out in January 2021, connecting two large pipe org
IMPORTANCE: Breast cancer (BC) is the second leading cause of cancer death in women, and there is a substantial disparity in BC mortality by race, especially for early-onset BC in Black women. Many guidelines recommend starting BC screening from age 50 years; however, the current one-size-fits-all policy to start screening all women from a certain age may not be fair, equitable, or optimal.OBJECTI
Background and Purpose: Target delineation in glioblastoma is still a matter of extensive research and debate. This guideline aims to update the existing joint European consensus on delineation of the clinical target volume (CTV) in adult glioblastoma patients. Material and Methods: The ESTRO Guidelines Committee identified 14 European experts in close interaction with the ESTRO clinical committee
Many problems in science and engineering involve estimating a dynamic signal from indirect measurements subject to noise, where points can either evolve in continuous time or in discrete time. These problems are often formalised as inference in probabilistic state-space models, which are also frequently assumed to be Markovian. For inferring the value of the signal at a particular point in time, m
Blood-based biomarkers hold great promise to revolutionize the diagnostic and prognostic work-up of Alzheimer’s disease (AD) in clinical practice. This is very timely, considering the recent development of anti-amyloid-β (Aβ) immunotherapies. Several assays for measuring phosphorylated tau (p-tau) in plasma exhibit high diagnostic accuracy in distinguishing AD from all other neurodegenerative dise
A non-adaptive quantitative group testing (GT) scheme based on sparse codes-on-graphs in combination with low-complexity peeling decoding was introduced and analyzed by Karimi et al.. In this work, we propose a variant of this scheme based on low-density parity-check codes where the BCH codes at the constraint nodes are replaced by simple single parity-check codes. Furthermore, we apply spatial co
The goal of person text-image matching is to retrieve images of specific pedestrians using natural language. Although a lot of research results have been achieved in persona text-image matching, existing methods still face two challenges. First,due to the ambiguous semantic information in the features, aligning the textual features with their corresponding image features is always tricky. Second,
The hippocampus is one of the most studied neuroanatomical structures due to its involvement in attention, learning, and memory as well as its atrophy in ageing, neurological, and psychiatric diseases. Hippocampal shape changes, however, are complex and cannot be fully characterized by a single summary metric such as hippocampal volume as determined from MR images. In this work, we propose an auto
