3,422 research outputs found
Professional capacity and organizational change as measures of educational effectiveness: assessing the impact of postgraduate education in development policy and management
We tend to measure educational performance by students' attainment in coursework or examinations. In the case of professional education, the impact of the educational programme on the students' own capacities to enhance their work practices, and the wider organizational effects of the students' education and training, are also key 'products' of the educational process. This is particularly important with education for Development Policy and Management (DPAM), which is directly concerned with capacity-building. This article adopts a work-related approach to educational effectiveness and examines four professional programmes in DPAM--three in Southern Africa and one in the UK. Through the analysis of the results of surveys and case studies, the article demonstrates how a positive learning experience is related to the application of learning at work. However the conditions for applying learning also depend strongly on organizational context, as do the wider organizational impacts of learning. The article presents a broad approach to assessing educational effectiveness in professional programmes which incorporate these factors
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The remembering–imagining system
Remembering and imagining are intricately related, particularly in imagining the future: episodic future thinking. It is proposed that remembering the recent past and imagining the near future take place in what we term the remembering–imagining system. The remembering–imagining system renders recently formed episodic memories and episodic imagined near-future events highly accessible. We suggest that this serves the purpose of integrating past, current, and future goal-related activities. When the remembering–imagining system is compromised, following brain damage and in psychological illnesses, the future cannot be effectively imagined and episodic future thinking may become dominated by dysfunctional images of the future
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI
Positron Emission Tomography (PET) is now regarded as the gold standard for
the diagnosis of Alzheimer's Disease (AD). However, PET imaging can be
prohibitive in terms of cost and planning, and is also among the imaging
techniques with the highest dosage of radiation. Magnetic Resonance Imaging
(MRI), in contrast, is more widely available and provides more flexibility when
setting the desired image resolution. Unfortunately, the diagnosis of AD using
MRI is difficult due to the very subtle physiological differences between
healthy and AD subjects visible on MRI. As a result, many attempts have been
made to synthesize PET images from MR images using generative adversarial
networks (GANs) in the interest of enabling the diagnosis of AD from MR.
Existing work on PET synthesis from MRI has largely focused on Conditional
GANs, where MR images are used to generate PET images and subsequently used for
AD diagnosis. There is no end-to-end training goal. This paper proposes an
alternative approach to the aforementioned, where AD diagnosis is incorporated
in the GAN training objective to achieve the best AD classification
performance. Different GAN lossesare fine-tuned based on the discriminator
performance, and the overall training is stabilized. The proposed network
architecture and training regime show state-of-the-art performance for three-
and four- class AD classification tasks.Comment: Accepted for publication at the MICCAI 2020 conferenc
Point-Counterpoint: What is the optimal approach for detection of Clostridium difficile infection?
In 2010, we published an initial point-counterpoint on laboratory diagnosis of C. difficile infection (CDI). At that time, nucleic acid amplification tests (NAATs) were just becoming commercially available, and the idea of algorithmic approaches to CDI was being explored. Now there are numerous NAATs in the marketplace and based on recent proficiency test surveys, they have become the predominant method used for CDI diagnosis in the United States. At the same time, there is a body of literature that suggests that NAATs lack clinical specificity and thus inflate CDI rates. Hospital administrators are taking note of institutional CDI rates because they are publicly reported. They have become an important metric impacting hospital safety ratings and value-based purchasing where hospitals may have millions of dollar of reimbursement at risk. In this point-counterpoint using a Frequently Asked Question approach, Ferric Fang of the University of Washington, who has been a consistent advocate for NAAT-only approach for CDI diagnosis, will discuss the value of a NAAT-only approach, while Christopher Polage of the University of California-Davis and Mark Wilcox of Leeds University, UK, who have each recently written important articles on the value of toxin detection in the diagnosis, will discuss the impact of toxin detection in CDI diagnosis
Dynamics of DNA replication loops reveal temporal control of lagging-strand synthesis
In all organisms, the protein machinery responsible for the replication of DNA, the replisome, is faced with a directionality problem. The antiparallel nature of duplex DNA permits the leading-strand polymerase to advance in a continuous fashion, but forces the lagging-strand polymerase to synthesize in the opposite direction. By extending RNA primers, the lagging-strand polymerase restarts at short intervals and produces Okazaki fragments. At least in prokaryotic systems, this directionality problem is solved by the formation of a loop in the lagging strand of the replication fork to reorient the lagging-strand DNA polymerase so that it advances in parallel with the leading-strand polymerase. The replication loop grows and shrinks during each cycle of Okazaki fragment synthesis. Here we use single-molecule techniques to visualize, in real time, the formation and release of replication loops by individual replisomes of bacteriophage T7 supporting coordinated DNA replication. Analysis of the distributions of loop sizes and lag times between loops reveals that initiation of primer synthesis and the completion of an Okazaki fragment each serve as a trigger for loop release. The presence of two triggers may represent a fail-safe mechanism ensuring the timely reset of the replisome after the synthesis of every Okazaki fragment.
hp-DGFEM for Partial Differential Equations with Nonnegative Characteristic Form
Presented as Invited Lecture at the International Symposium on Discontinuous Galerkin Methods: Theory, Computation and Applications, in Newport, RI, USA.\ud
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We develop the error analysis for the hp-version of a discontinuous finite element approximation to second-order partial differential equations with nonnegative characteristic form. This class of equations includes classical examples of second-order elliptic and parabolic equations, first-order hyperbolic equations, as well as equations of mixed type. We establish an a priori error bound for the method which is of optimal order in the mesh size h and 1 order less than optimal in the polynomial degree p. In the particular case of a first-order hyperbolic equation the error bound is optimal in h and 1/2 an order less than optimal in p
Mechanotransduction is required for establishing and maintaining mature inner hair cells and regulating efferent innervation
In the adult auditory organ, mechanoelectrical transducer (MET) channels are essential for transducing acoustic stimuli into electrical signals. In the absence of incoming sound, a fraction of the MET channels on top of the sensory hair cells are open, resulting in a sustained depolarizing current. By genetically manipulating the in vivo expression of molecular components of the MET apparatus, we show that during pre-hearing stages the MET current is essential for establishing the electrophysiological properties of mature inner hair cells (IHCs). If the MET current is abolished in adult IHCs, they revert into cells showing electrical and morphological features characteristic of pre-hearing IHCs, including the re-establishment of cholinergic efferent innervation. The MET current is thus critical for the maintenance of the functional properties of adult IHCs, implying a degree of plasticity in the mature auditory system in response to the absence of normal transduction of acoustic signals
Observation of coherent many-body Rabi oscillations
A two-level quantum system coherently driven by a resonant electromagnetic
field oscillates sinusoidally between the two levels at frequency
which is proportional to the field amplitude [1]. This phenomenon, known as the
Rabi oscillation, has been at the heart of atomic, molecular and optical
physics since the seminal work of its namesake and coauthors [2]. Notably, Rabi
oscillations in isolated single atoms or dilute gases form the basis for
metrological applications such as atomic clocks and precision measurements of
physical constants [3]. Both inhomogeneous distribution of coupling strength to
the field and interactions between individual atoms reduce the visibility of
the oscillation and may even suppress it completely. A remarkable
transformation takes place in the limit where only a single excitation can be
present in the sample due to either initial conditions or atomic interactions:
there arises a collective, many-body Rabi oscillation at a frequency
involving all N >> 1 atoms in the sample [4]. This is true even
for inhomogeneous atom-field coupling distributions, where single-atom Rabi
oscillations may be invisible. When one of the two levels is a strongly
interacting Rydberg level, many-body Rabi oscillations emerge as a consequence
of the Rydberg excitation blockade. Lukin and coauthors outlined an approach to
quantum information processing based on this effect [5]. Here we report initial
observations of coherent many-body Rabi oscillations between the ground level
and a Rydberg level using several hundred cold rubidium atoms. The strongly
pronounced oscillations indicate a nearly complete excitation blockade of the
entire mesoscopic ensemble by a single excited atom. The results pave the way
towards quantum computation and simulation using ensembles of atoms
miR-96 regulates the progression of differentiation in mammalian cochlear inner and outer hair cells
MicroRNAs (miRNAs) are small noncoding RNAs able to regulate a broad range of protein-coding genes involved in many biological processes. miR-96 is a sensory organ-specific miRNA expressed in the mammalian cochlea during development. Mutations in miR-96 cause nonsyndromic progressive hearing loss in humans and mice. The mouse mutant diminuendo has a single base change in the seed region of the Mir96 gene leading to widespread changes in the expression of many genes. We have used this mutant to explore the role of miR-96 in the maturation of the auditory organ. We found that the physiological development of mutant sensory hair cells is arrested at around the day of birth, before their biophysical differentiation into inner and outer hair cells. Moreover, maturation of the hair cell stereocilia bundle and remodelling of auditory nerve connections within the cochlea fail to occur in miR-96 mutants. We conclude that miR-96 regulates the progression of the physiological and morphological differentiation of cochlear hair cells and, as such, coordinates one of the most distinctive functional refinements of the mammalian auditory system
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