Performance Results of a Prototype Board Designed for Copper Data Transmission in KM3NeT

International audienceThe experience gained in designing submarine neutrino telescopes suggested to explore new ways of realizing the data transmission backbone at the detection unit level. In order to decrease the difficulties of integration and handling of the backbones, some effort has been spent in developing a backbone based on copper links with simple tracts of cable connecting contiguous storeys. This work is aimed at the presentation of the general architecture of the system, at the description of an electronic board prototype designed to test the project feasibility with the first results obtained. The main goal of the experimental setup was measuring the recovered clock jitter under various conditions, with and without cables. The jitter measured on the cleaned clock amounts to hundreds of picoseconds, well below the sub-nanosecond time resolution required by this kind of experiments

Frequency and Predictors of Courses Repetition, Probation, and Delayed Graduation in Kashan Faculty of Nursing and Midwifery

Background: Course failing and delayed graduation are important concerns in educational systems. The reasons of these educational failures need to be clarified. Objectives: This study was designed to determine the academic failure rate and its predictors in Nursing and Midwifery Students in Kashan University of Medical Sciences. Materials and Methods: In this cross-sectional study, the records of all the students graduated in Nursing and Midwifery faculty during 18 years (1986 - 2003) were evaluated (1174 graduates). The demographic variables and the educational situation were recorded. The frequency of course repetition, probation, and delayed graduation were determined and the data were analyzed using the chi-square and logistic regression tests. Results: The frequency of course repetition, probation, and delayed graduation was reported to be 19.25%, 3.9% and 19.85%, respectively. Gaining Low grade in high school, transferring from other universities, having special quota, and transferring temporarily to other universities were mentioned as the risk factors of academic failure. The major had a significant relationship with academic failure. Day time students had more course failure and night time students stayed longer in the university. Conclusions: The individual characteristics, educational background and admission criteria had showed relation with academic failure. Vulnerable students should be identified and educational supports should be provided for these students

Optimization of Learning Algorithms in Neuromorphic Computing Systems.

Spiking Neural Networks (SNNs) are a type of artificial neural network that aim to more closely mimic the data processing processes observed in biological neural systems. However, one major challenge in training these networks has been their non-differentiable nature, which makes it difficult to apply traditional gradient-based learning techniques. Different approaches have been proposed to address this challenge, ranging from supervised learning - largely inspired by error backpropagation in Deep Neural Networks - to unsupervised learning, which closely emulates biological learning approaches such as spike-timing dependent plasticity (STDP). Neuromorphic hardware platforms such as Intel\u27s Loihi offer programmable plasticity that allows a user to specify how synaptic plasticity functions. This work investigates the synaptic plasticity implementation in the TENNLab group neuromorphic hardware - RAVENS. Initially, we explored four Spike-Timing Dependent Plasticity (STDP) approaches in the RAVENS neuroprocessor including exponential, linear, flat, and no STDP. We found that the performance of each approach is heavily dependent on the application being evaluated. Subsequently, we looked deeper into the impact of an extended STDP table for a memristive neuroprocessor. The study concludes with optimizing the STDP lookup table entries using Bayesian Optimization to derive custom learning rules for specific applications. Our findings indicate that these custom learning rules, distinct from standard STDP values, outperform the default STDP rules, with performance increases ranging from 2% to 12% for certain applications. Additionally, some of these rules demonstrate effective generalization across multiple applications. This work establishes an effective approach for deriving optimal STDP learning rules tailored to unique neuromorphic applications. We highlight the importance of programmable plasticity for enhancing algorithm and application performance in neuromorphic computing systems

NEMO: A Project for a km3^3 Underwater Detector for Astrophysical Neutrinos in the Mediterranean Sea

The status of the project is described: the activity on long term characterization of water optical and oceanographic parameters at the Capo Passero site candidate for the Mediterranean km$^3$ neutrino telescope; the feasibility study; the physics performances and underwater technology for the km$^3$; the activity on NEMO Phase 1, a technological demonstrator that has been deployed at 2000 m depth 25 km offshore Catania; the realization of an underwater infrastructure at 3500 m depth at the candidate site (NEMO Phase 2).Comment: Proceeding of ISCRA 2006, Erice 20-27 June 200

Measurement of the atmospheric muon flux with the NEMO Phase-1 detector

The NEMO Collaboration installed and operated an underwater detector including prototypes of the critical elements of a possible underwater km3 neutrino telescope: a four-floor tower (called Mini-Tower) and a Junction Box. The detector was developed to test some of the main systems of the km3 detector, including the data transmission, the power distribution, the timing calibration and the acoustic positioning systems as well as to verify the capabilities of a single tridimensional detection structure to reconstruct muon tracks. We present results of the analysis of the data collected with the NEMO Mini-Tower. The position of photomultiplier tubes (PMTs) is determined through the acoustic position system. Signals detected with PMTs are used to reconstruct the tracks of atmospheric muons. The angular distribution of atmospheric muons was measured and results compared with Monte Carlo simulations.Comment: Astrop. Phys., accepte

Misplaced expectations from climate disclosure initiatives

The financial sector’s response to pressures around climate change has emphasized the role of disclosure, notably through the recommendations of the Financial Stability Board’s Task Force on Climate-related Financial Disclosures. This Perspective examines two dimensions of the expectations behind transparency and disclosure initiatives: the belief that disinvestment is driven by disclosure; and that investment ‘switches’ from high- to low-carbon assets. We warn about the risk of disappointment from inflated expectations about what transparency can really deliver and suggest some areas that research and public policy should examine to mobilize the required capital to meet climate goals

Climate Vulnerability and the Cost of Debt

We use indices from the Notre Dame Global Adaptation Initiative to investigate the impact of climate vulnerability on bond yields. Our methodology invokes panel ordinary least squares with robust standard errors and principal component analysis. The latter serves to address the multicollinearity between a set of vulnerability measures. We find that countries with higher exposure to climate vulnerability, such as the member countries of the V20 climate vulnerable forum, exhibit 1.174 percent higher cost of debt on average. This effect is significant after accounting for a set of macroeconomic controls. Specifically, we estimate the incremental debt cost due to higher climate vulnerability, for the V20 countries, to have exceeded USD 62 billion over the last ten years. In other words, for every ten dollars they pay in interest cost, they pay another dollar for being climate vulnerable. We also find that a measure of social readiness, which includes education and infrastructure, has a negative and significant effect on bond yields, implying that social and physical investments can mitigate climate risk related debt costs and help to stabilize the cost of debt for vulnerable countries

The ANTARES Optical Beacon System

ANTARES is a neutrino telescope being deployed in the Mediterranean Sea. It consists of a three dimensional array of photomultiplier tubes that can detect the Cherenkov light induced by charged particles produced in the interactions of neutrinos with the surrounding medium. High angular resolution can be achieved, in particular when a muon is produced, provided that the Cherenkov photons are detected with sufficient timing precision. Considerations of the intrinsic time uncertainties stemming from the transit time spread in the photomultiplier tubes and the mechanism of transmission of light in sea water lead to the conclusion that a relative time accuracy of the order of 0.5 ns is desirable. Accordingly, different time calibration systems have been developed for the ANTARES telescope. In this article, a system based on Optical Beacons, a set of external and well-controlled pulsed light sources located throughout the detector, is described. This calibration system takes into account the optical properties of sea water, which is used as the detection volume of the ANTARES telescope. The design, tests, construction and first results of the two types of beacons, LED and laser-based, are presented.Comment: 21 pages, 18 figures, submitted to Nucl. Instr. and Meth. Phys. Res.

Investment suitability and path dependency perpetuate inequity in international mitigation finance toward developing countries

Developed country pledges to provide finance to developing countries for their mitigation actions sit at the heart of international climate cooperation. Currently, climate finance largely flows to big and fast-growing developing countries while low-income and vulnerable countries are underserved. Here, using wind and solar project data, we highlight inequities in the distribution of international investments in mitigation across developing countries and explore the factors that influence public and private investment flows. Results show that public actors are influenced by domestic climate policies since the Paris Agreement, while private finance flows are shaped by investment suitability conditions, which restricts access to both types of finance in the poorest countries. Further, public and private flows are strongly shaped by path dependency, generating an “investment lock-in” that perpetuates distributional inequities. Future international commitments to direct climate finance should address distributional issues to meet countries’ needs and the goals of the Paris Agreement

Cultural values, moral sentiments and the fashioning of gendered migrant identities

The promotion of British cultural values to which all citizens can and should sign up to has taken on unprecedented urgency and momentum in political and public discourses. This paper explores the meanings and values attached to contemporary forms of Britishness from the perspective of migrant refugee women, and outlines the conflicting interpretations and expectations of different projects of feminine citizenship. Drawing on empirical research it suggests that gendered migrant identities and values are formed and performed in relation to real and imagined understanding of British (white) heterosexual women and can be seen, at least in part, as asserting moral value and distinctiveness. The women invoked migrant cultural pride in the form of caring, community, close family ties and heterosexuality to claim recognition and resist the lack of moral value ascribed to migrant identities. However, this is achieved through a re-inscription of gender identities in which heterosexuality and sexual restraint become technologies of regulation and control