Fraser of cryptophthalmosis syndrome: A case report

Fraser or cryptophthalmos syndrome is a rare autosomal recessive disorder characterized by major features such as cryptophthalmos, syndactyly, and abnormal genitalia. Consanguinity is reported in 15-24.8% of the cases. The diagnosis of this syndrome can be made on clinical examination; therefore we present the clinical findings of a rare case of Fraser syndrome in a female infant

General methods for designing single-mode planar photonic crystal waveguides in hexagonal lattice structures

We systematically investigate and compare general methods of designing single mode photonic crystal waveguides in a two-dimensional hexagonal lattice of air holes in a dielectric material. We apply the rather general methods to dielectric-core hexagonal lattice photonic crystals since they have not been widely explored before. We show that it is possible to obtain single mode guiding in a limited portion of the photonic bandgap of hexagonal lattice structures. We also compare the potentials of different photonic crystal lattices for designing single-mode waveguides and conclude that triangular lattice structures are the best choice

Developing a Circular Economy for the Data Centre Industry – how the CEDaCI project contributes to sustainable decision making

Data centres (DCs) house data processing and storage equipment. The data centre industry (DCI) is evolving rapidly, as society is becoming more dependent on digital technologies. Currently, there are 7.2 million DCs globally and provision is predicted to grow fivefold by 2030. The sector already utilises millions of tonnes of resources, including Critical Raw Materials, and the demand will only increase. DCI is based on a linear economy; recycling and materials reclamation infrastructure are also inadequate. At the end-of-life, many materials are either lost to landfill, incinerated, or unaccounted for. Furthermore, many virgin materials are located in geopolitically sensitive locations, which poses a threat to the supply chain that the sector relies on. The CEDaCI project aims to increase overall sectoral sustainability by addressing the various technical, cultural, and behavioural barriers across the DCI, such as fragmentation and sole focus on the energy efficiency. This paper describes the whole-systems approach and CEDaCI project outputs, including bespoke Eco-design guidelines, strategies, and digital tools to extend product life and recycling, and enable better decision-making to increase circularity in the DCI, prepare and support the implementation of the EU Circular Economy Action Plan and ensure a secure, sustainable resource supply chain

Design Thinking for Sustainability and the significance of Stakeholder Engagement in the development of the Circular Economy for the Data Centre Industry

The World Wide Web developed during the 1980s and was formally introduced in 1989; since then it has facilitated rapid communication between people and objects and revolutionised business models and services across all major sectors. Such is the popularity of the technology that 59% of the global population is now ‘connected’ (1). Digital communication is facilitated by human-centred technology (e.g. laptop and desktop computers and mobile phones) and data centres (DCs) which house digital data processing, networking and storage (ICT) equipment. The sector has already expanded rapidly to manage the increasing volume of data and it is predicted to grow 500% globally by 2030 (2). DC operation is energy intensive and the sector currently consumes 1% global electricity (3). It is also resource intensive and although the mass of materials utilised across the sector is unknown, it is estimated to be millions of tonnes. Sectoral focus has always been provision of 100% uninterrupted service and performance and although economic and environmental considerations have encouraged operational energy efficiency, the impact of design and manufacture have been largely overlooked and consequently, most DC equipment is designed for a linear economy. This is becoming an increasing problem because the first life of much DC equipment is only 1 to 5 years; to date circular practices such as refurbishment, reuse and recycling at end-of-life are limited by human and technical factors and consequently the sector contributes to the growing global electrical and electronic equipment waste stream. The CEDaCI project was initiated to kick-start a sectoral Circular Economy ahead of the predicted growth, in order to simultaneously increase resource efficiency and reclamation of Critical Raw Materials and reduce waste. The DC sector is comprised of highly specialised sub-sectors; however it is silo-based and knowledge exchange between sub-sectors is rare. Conversely, a Circular Economy is holistic by default and therefore expertise from all constituent sub-sectors is essential to enable development. In order to overcome these and other challenges the CEDaCI project employs design-based methodologies, namely the four-stage Double Diamond design process model (introduced by the Design Council in 2004) and Design Thinking (developed and popularised by IDEO from 2009). The importance of stakeholder engagement to the development of the Circular Economy as a whole cannot be under-estimated and the presentation shares examples of tools and practice from the CEDaCI project to illustrate the value of design-process-based strategies to support development of the CE in other sectors. 1. Simon Kemp, Hootesuite Digital 2020 Global Overview Report, 30 January 2020, https://wearesocial.com/digital-2020 https://wearesocial.com/blog/2020/01/digital-2020-3-8-billion-people-use-social-media 2. Infiniti Research Ltd., August 2015, High Power Consumption is Driving the Need for Greener Data Centres. Available http://www.technavio.com/blog/high-power-consumpton-is-driving-the-need-for-greener-data-centers. [14 August 2018] 3. Masanet, E., Shehabi, A., Lei, N., Smith, S., and Koomey, J., Recalibrating global data center energy-use estimates Science 28 Feb 2020: Vol. 367, Issue 6481, pp. 984-986 DOI: 10.1126/science.aba3758 4. Brown, T., Change by Design: How Design Thinking Creates New Alternatives for Business and Society (2009) Harper Collins, New York 5. Design Council, Double Diamond Design Methodology (2004) and Evolved Double Diamond Design Methodology (2019) https://www.designcouncil.org.uk/news-opinion/double-diamond-universally-accepted-depiction-design-process https://www.designcouncil.org.uk/news-opinion/what-framework-innovation-design-councils-evolved-double-diamon

High Throughput Ion-Implantation for Silicon Solar Cells

AbstractIon implantation is a technique that has been demonstrated to improve solar cell efficiency and eliminate process steps in standard and advanced cell designs. Intevac has developed a high productivity, continuous flux ion implantation tool for solar cells. We demonstrate improved n-type emitters over POCl3 diffused emitters, and selective patterning capabilities. Additionally, it is shown that non-mass analyzed implantation provides similar performance as mass-analyzed implantation, yet at a much lower capital cost

Diffraction efficiency of localized holograms in doubly doped LiNbo(3) crystals

The diffraction efficiency of M holograms superimposed in the volume of the recording medium is proportional to 1/M-2, me present a method, based on nondestructive localized holograms in a doubly doped LiNbO3 crystal, that allows us to also record M holograms in the same volume without an exposure schedule or a diffraction efficiency that has 1/M dependence. We compare experimentally the final diffraction efficiency obtained with the localized and distributed recording methods. (C) 2000 Optical Society of America OCIS codes: 090.0090, 210.0210

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea

In this paper we model spatio-temporal data describing the fishing activities in the Northern Adriatic Sea over four years. We build, implement and analyze a database based on the fusion of two complementary data sources: trajectories from fishing vessels (obtained from terrestrial Automatic Identification System, or AIS, data feed) and fish catch reports (i.e., the quantity and type of fish caught) of the main fishing market of the area. We present all the phases of the database creation, starting from the raw data and proceeding through data exploration, data cleaning, trajectory reconstruction and semantic enrichment. We implement the database by using MobilityDB, an open source geospatial trajectory data management and analysis platform. Subsequently, we perform various analyses on the resulting spatio-temporal database, with the goal of mapping the fishing activities on some key species, highlighting all the interesting information and inferring new knowledge that will be useful for fishery management. Furthermore, we investigate the use of machine learning methods for predicting the Catch Per Unit Effort (CPUE), an indicator of the fishing resources exploitation in order to drive specific policy design. A variety of prediction methods, taking as input the data in the database and environmental factors such as sea temperature, waves height and Clorophill-a, are put at work in order to assess their prediction ability in this field. To the best of our knowledge, our work represents the first attempt to integrate fishing ships trajectories derived from AIS data, environmental data and catch data for spatio-temporal prediction of CPUE – a challenging task

Integrating Life Cycle Management for a more Circular Data Centre Industry

The Data Centre Industry (DCI) is concentrated in North-West Europe, especially UK, Germany, France & Netherlands. DC equipment is replaced every 1–5 years, substantially contributing to the production of WEEE (Waste Electrical & Electronic Equipment), one of the fastest growing waste streams. WEEE from DC equipment contains Critical Raw Materials of high technical and economic importance and vulnerable to supply disruption, partly exported or sent to landfill at end of life. At present small share of DC equipment Critical Raw Materials are recycled and recovered per year. In this context, project partners from UK (London South Bank University), France (TEAM2, Terra Nova Development and WeLOOP), Germany (Wuppertal Institute for climate, environment and energy) and Netherlands (Green IT Amsterdam) are working together on a Circular Economy for the Data Centre Industry (CEDaCI). CEDaCI will facilitate the implementation of a Circular Economy (CE) for Critical Raw Materials in NWE and reduce the environmental impact arising from the growth in redundant equipment, by simultaneously increasing CRM recovery, reducing use of virgin materials and developing a secure and economically viable CRM supply chain. The project if co-funded by Interreg North-West Europe Programme. This contribution aims at presenting the CEDaCI project and sharing results of the LCM situational analysis for Data Centre Industry. The results of this phase include: State of art and assessment of current practices & emerging trends (with focus in all partner countries), Identify challenges and barriers and potential solutions for implementation, Establishment of criteria (age of the equipment, technology, components, etc.) for selection of equipment for refurbishing and recycling

Characterization of Phthalate Exposure among Pregnant Women Assessed by Repeat Air and Urine Samples

Background: Although urinary concentrations of phthalate metabolites are frequently used as biomarkers in epidemiologic studies, variability during pregnancy has not been characterized. Methods: We measured phthalate metabolite concentrations in spot urine samples collected from 246 pregnant Dominican and African-American women. Twenty-eight women had repeat urine samples collected over a 6-week period. We also analyzed 48-hr personal air samples (n = 96 women) and repeated indoor air samples (n = 32 homes) for five phthalate diesters. Mixed-effects models were fit to evaluate reproducibility via intraclass correlation coefficients (ICC). We evaluated the sensitivity and specificity of using a single specimen versus repeat samples to classify a woman’s exposure in the low or high category. Results: Phthalates were detected in 85–100% of air and urine samples. ICCs for the unadjusted urinary metabolite concentrations ranged from 0.30 for mono-ethyl phthalate to 0.66 for monobenzyl phthalate. For indoor air, ICCs ranged from 0.48 [di-2-ethylhexyl phthalate (DEHP)] to 0.83 [butylbenzyl phthalate (BBzP)]. Air levels of phthalate diesters correlated with their respective urinary metabolite concentrations for BBzP (r = 0.71), di-isobutyl phthalate (r = 0.44), and diethyl phthalate (DEP; r = 0.39). In women sampled late in pregnancy, specific gravity appeared to be more effective than creatinine in adjusting for urine dilution. Conclusions: Urinary concentrations of DEP and DEHP metabolites in pregnant women showed lower reproducibility than metabolites for di-n-butyl phthalate and BBzP. A single indoor air sample may be sufficient to characterize phthalate exposure in the home, whereas urinary phthalate biomarkers should be sampled longitudinally during pregnancy to minimize exposure misclassification