9,051 research outputs found
A comparative report on the culture and institutional perspectives in relation to the access, retention and non-completion of non-traditional students
The Distribution Function of a Probability Measure on a Linearly Ordered Topological Space
In this paper, we describe a theory of a cumulative distribution function on a space with an order from a probability measure defined in this space. This distribution function plays a similar role to that played in the classical case. Moreover, we define its pseudo-inverse and study its properties. Those properties will allow us to generate samples of a distribution and give us the chance to calculate integrals with respect to the related probability measure
Investigational Drugs for the Treatment of Postherpetic Neuralgia: Systematic Review of Randomized Controlled Trials
The pharmacological treatment of postherpetic neuralgia (PHN) is unsatisfactory, and
there is a clinical need for new approaches. Several drugs under advanced clinical development are
addressed in this review. A systematic literature search was conducted in three electronic databases
(Medline, Web of Science, Scopus) and in the ClinicalTrials.gov register from 1 January 2016 to
1 June 2023 to identify Phase II, III and IV clinical trials evaluating drugs for the treatment of PHN.
A total of 18 clinical trials were selected evaluating 15 molecules with pharmacological actions on
nine different molecular targets: Angiotensin Type 2 Receptor (AT2R) antagonism (olodanrigan),
Voltage-Gated Calcium Channel (VGCC) 2 subunit inhibition (crisugabalin, mirogabalin and pregabalin),
Voltage-Gated Sodium Channel (VGSC) blockade (funapide and lidocaine), Cyclooxygenase-1
(COX-1) inhibition (TRK-700), Adaptor-Associated Kinase 1 (AAK1) inhibition (LX9211), Lanthionine
Synthetase C-Like Protein (LANCL) activation (LAT8881), N-Methyl-D-Aspartate (NMDA) receptor
antagonism (esketamine), mu opioid receptor agonism (tramadol, oxycodone and hydromorphone)
and Nerve Growth Factor (NGF) inhibition (fulranumab). In brief, there are several drugs in advanced
clinical development for treating PHN with some of them reporting promising results. AT2R
antagonism, AAK1 inhibition, LANCL activation and NGF inhibition are considered first-in-class
analgesics. Hopefully, these trials will result in a better clinical management of PHNTraining University Lecturers program (FPU21/02736)
of the Spanish Ministry of Economy and Competitiveness (MINECO
AdS/QCD Modified Soft Wall Model and Light Meson Spectra
We analyze here the mass spectrum of light vector and scalar mesons applying
a novel approach where a modified soft wall model that includes a UV-cutoff at
a finite -position in the AdS space is used, thus introducing an extra
energy scale. For this model, we found that the masses for the scalar and
vector spectra are well fitted within for these states,
with non-linear trajectories given by two common parameters, the UV locus
and the quadratic dilaton profile slope . We also conclude that
in this model, the scalar resonance cannot be fitted
holographycally as a state since we cannot find a trajectory
that include this pole. This result is in agreement with the most recent
phenomenological and theoretical methods.Comment: 4 pages, no figures, conference pape
Access and retention: experiences of non-traditional learners in higher education: final report: public part
This final report will primarily be of interest to those working in the higher education
(HE) sector across Europe and beyond. Within higher education institutions it will be
of especial interest to senior management and policy makers, middle managers
responsible for programmes, lecturers, researchers, those working in student support
services, admissions and widening participation initiatives as well as students
themselves and the Students’ Unions. It is also aimed at policy organisations and
bodies working in higher education, such as the Higher Education Funding Council
for England (HEFCE) in England, Government departments and EU policy makers.
The project focused on access, retention and drop-out in higher education institutions
in relation to non-traditional students (younger and adults) on undergraduate degree
programmes and the factors which promote or inhibit this. With the growth of mass
higher education systems retention has become an important and rising concern for
policy-makers at national and European levels. It is considered a measure of
efficiency of higher education with implications in terms of the needs of the economy
and as a return on investment to individuals, society and the whole EU. It is also a
key factor in promoting a growing diversification and equity across the higher
education sector.
By ‘non-traditional’ we mean students who are under-represented in higher education
and whose participation in HE is constrained by structural factors. This includes, for
example, first generation entrants, students from low-income families, students from
(particular) minority ethnic groups, mature age students, and students with
disabilities. (This definition takes into account issues of class and gender). We were
particularly interested in looking at and understanding why some students from
under-represented and disadvantaged backgrounds learn effectively, assume an
undergraduate learner identity and complete their degree successfully while others
from similar backgrounds do not. We were also interested in identifying the learning,
teaching and support processes which help non-traditional students to become
effective and successful learners. Institutional cultures and structures also impact on
a learners’ identity so these aspects were also explored and examined
Projective system approach to the martingale characterization of the absence of arbitrage
The equivalence between the absence of arbitrage and the existence of an equivalent martingale measure fails when an infinite number of trading dates is considered. By enlarging the set of states of nature and the probability measure through a projective system of topological spaces and Radon measures, we characterize the absence of arbitrage when the time set is countable
Optimal Fair Scheduling in S-TDMA Sensor Networks for Monitoring River Plumes
Underwater wireless sensor networks (UWSNs) are a promising technology to provide oceanographers with environmental data
in real time. Suitable network topologies to monitor estuaries are formed by strings coming together to a sink node.This network
may be understood as an oriented graph. A number of MAC techniques can be used in UWSNs, but Spatial-TDMA is preferred
for fixed networks. In this paper, a scheduling procedure to obtain the optimal fair frame is presented, under ideal conditions
of synchronization and transmission errors. The main objective is to find the theoretical maximum throughput by overlapping
the transmissions of the nodes while keeping a balanced received data rate from each sensor, regardless of its location in the
network. The procedure searches for all cliques of the compatibility matrix of the network graph and solves a Multiple-Vector
Bin Packing (MVBP) problem. This work addresses the optimization problem and provides analytical and numerical results for
both the minimum frame length and the maximum achievable throughput
Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion
International Conference on Artificial Neural Networks and Genetic Algorithms. 01/01/1997. NorwichA method based on genetic algorithms for obtaining coordinated motion plans of manipulator robots is presented. A decoupled planning approach has been used; that is, the problem has been decomposed into two subproblems: path planning and trajectory planning. This paper focuses on the second problem. The generated plans minimize the total motion time of the robots along their paths. The optimization problem is solved by evolutionary algorithms using a variable-length individuals codification and specific genetic operators
Multi-Utilitarian Bargaining Solutions.
This paper introduces and analyzes the class of multi-utilitarian solutions for cooperative bargaining problems. We show that generalized Gini solutions and inequality averse Choquet bargaining solutions are particular cases of this new multi-valued solution concept and provide a complete characterization of inequality averse multi-utilitarian solutions in which an invariance property consisting of a weakening of both the linear invariance axiom in Blackorby et al. (1994) and the restricted invariance axiom in Ok and Zhou (2000). Moreover, by relaxing the assumptions involved in the characterization, the class is extended to include equality averse multi-utilitarian solutions which are also studied in the paper.Axiomatic bargaining theory, multi-valued bargaining solutions, generalized Gini solutions, inequality adverse Choquet solutions.
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