444 research outputs found
Implementation of six sigma methodology for the elimination of contamination in Fine Pitch connectors
Quality drives companies to evolve, providing what customers need or even exceeding their expectations through products and services that play their functions properly during their lifetime. From this perspective, this study aims to solve a concrete defect that occurs during the assembly process of an electronic product for the automotive industry. One of the new challenges in the electronics industry is the contamination issue in Printed Circuit Boards (PCB). Contamination can be defined as any type of particles (residues) that are deposited on PCB surface or within a component, causing unwanted behaviours in the electronic device. In the present study, the investigated contamination is organic in nature and is originated by the solder flux. The solder flux is released during the welding process, being deposited inside the PCB Fine Pitch connectors. The DMAIC method was adopted as a Problem Solving tool. This method was selected to ensure the elimination of this type of defect. To support the investigation, the 5W2H and Is/Is Not quality tools were used. The investigation was developed by a multidisciplinary team. After the root-cause identification, the connectors provider was involved to assist in the development of an effective and low cost solution. The final solution resulted in the placement in the connectors of a protective cap. This solution, besides protecting the connectors, allowed a new collaborative relationship along the supply chain
Parameterisation effect on the behaviour of a head-dependent hydro chain using a nonlinear model
This paper is on the problem of short-term hydro scheduling (STHS), particularly concerning a head-dependent hydro chain. We use a method based on nonlinear programming (NLP), namely quadratic programming, to consider hydroelectric power generation a function of water discharge and of the head. The method has been applied successfully to solve a test case based on a realistic cascaded hydro system with a negligible computational time requirement and is also applied to show that the role played by reservoirs in the hydro chain do not depend only on their relative position. As a new contribution to earlier studies, which presented reservoir operation rules mainly for medium and long-term planning procedures, we show that the physical data defining hydro chain parameters used in the nonlinear model have an effect on the STHS, implying different optimal storage trajectories for the reservoirs accordingly not only with their position in the hydro chain but also with the new parameterisation defining the data for the hydro system. Moreover, considering head dependency in the hydroelectric power generation, usually neglected for hydro plants with a large storage capacity, provides a better short-term management of the conversion of the potential energy available in the reservoirs into electric energy, which represents a major advantage for the hydroelectric utilities in a competitive electricity market
Short-term electricity prices forecasting in a competitive market: A neural network approach
This paper proposes a neural network approach for forecasting short-term electricity prices. Almost until the end of last century, electricity supply was considered a public service and any price forecasting which was undertaken tended to be over the longer term, concerning future fuel prices and technical improvements. Nowadays, short-term forecasts have become increasingly important since the rise of the competitive electricity markets. In this new competitive framework, short-term price forecasting is required by producers and consumers to derive their bidding strategies to the electricity market. Accurate forecasting tools are essential for producers to maximize their profits, avowing profit losses over the misjudgement of future price movements, and for consumers to maximize their utilities. A three-layered feedforward neural network, trained by the Levenberg-Marquardt algorithm, is used for forecasting next-week electricity prices. We evaluate the accuracy of the price forecasting attained with the proposed neural network approach, reporting the results from the electricity markets of mainland Spain and California
Unit Commitment in a Competitive and Emission Constrained Environment
This paper is on the unit commitment problem, considering not only the economic perspective, but also the environmental perspective. We propose a bi-objective approach to handle the problem with conflicting profit and emission objectives. Numerical results based on the standard IEEE 30-bus test system illustrate the proficiency of the proposed approach
Nonlinear optimization method for short-term hydro scheduling considering head-dependency
This paper is on the problem of short-term hydro scheduling, particularly concerning head-dependent reservoirs under competitive environment. We propose a new nonlinear optimization method to consider hydroelectric power generation as a function of water discharge and also of the head. Head-dependency is considered on short-term hydro scheduling in order to obtain more realistic and feasible results. The proposed method has been applied successfully to solve a case study based on one of the main Portuguese cascaded hydro systems, providing a higher profit at a negligible additional computation time in comparison with a linear optimization method that ignores head-dependency
A practical approach for profit-based unit commitment with emission limitations
This paper proposes a practical approach for profit-based unit commitment (PBUC) with emission limitations. Under deregulation, unit commitment has evolved from a minimum-cost optimisation problem to a profit-based optimisation problem. However, as a consequence of growing environmental concern, the impact of fossil-fuelled power plants must be considered, giving rise to emission limitations. The simultaneous address of the profit with the emission is taken into account in our practical approach by a multiobjective optimisation (MO) problem. Hence, trade-off Curves between profit and emission are obtained for different energy price profiles, in a way to aid decision-makers concerning emission allowance trading. Moreover, a new parameter is presented, ratio of change, and the corresponding gradient angle, enabling the proper selection of a compromise commitment for the units. A case study based on the standard IEEE 30-bus system is presented to illustrate the proficiency Of Our practical approach for the new competitive and environmentally constrained electricity supply industry
Skeletal quality in Senegalese sole: characterization of fish resulting from environmental and nutritional trials
The Senegalese sole (Solea senegalensis) is characteristic from southern Europe and
Mediterranean. It has recently been adapted for aquaculture production since it is well accepted by
consumers and reaches high commercial values. After the initial description of the ontogenic
events of skeletogenesis, systematic evaluation of the incidence of skeletal malformations by
several groups revealed high levels of skeletal deformities reaching up to 90% of the population
Conservation Biogeography of the Sahara‐Sahel: additional protected areas are needed to secure unique biodiversity
Aim Identification of priority conservation areas and evaluation of coverage of
the current protected areas are urgently needed to halt the biodiversity loss.
Identifying regions combining similar environmental traits (climate regions)
and species assemblages (biogroups) is needed for conserving the biodiversity
patterns and processes. We identify climate regions and biogroups and map
species diversity across the Sahara-Sahel, a large geographical area that exhibits
wide environmental heterogeneity and multiple species groups with distinct
biogeographical affinities, and evaluate the coverage level of current network of
protected areas for biodiversity conservation.
Location Sahara-Sahel, Africa.
Methods We use spatially explicit climate data with the principal component
analysis and model-based clustering techniques to identify climate regions.
We use distributions of 1147 terrestrial vertebrates (and of 125 Sahara-Sahel
endemics) and apply distance clustering methods to identify biogroups for
both species groups. We apply reserve selection algorithms targeting 17% of
species distribution, climate regions and biogroups to identify priority areas
and gap analysis to assess their representation within the current protected
areas.
Results Seven climate regions were identified, mostly arranged as latitudinal
belts. Concentrations of high species richness were found in the Sahel, but the
central Sahara gathers most endemic and threatened species. Ten biogroups
(five for endemics) were identified. A wide range of biogroups tend to overlap
in specific climate regions. Identified priority areas are inadequately represented
in protected areas, and six new top conservation areas are needed to achieve
conservation targets.
Main conclusions Biodiversity distribution in Sahara-Sahel is spatially structured and apparently related to environmental variation. Although the majority of priority conservation areas are located outside the areas of intense
human activities, many cross multiple political borders and require internationally coordinated efforts for implementation and management. Optimized
biodiversity conservation solutions at regional scale are needed. Our work
contradicts the general idea that deserts are uniform areas and provide
options for the conservation of endangered species.info:eu-repo/semantics/publishedVersio
It Takes Two to Tango, Part II : Synthesis of A-Ring Functionalised Quinones Containing Two Redox-Active Centres with Antitumour Activities
In 2021, our research group published the prominent anticancer activity achieved through
the successful combination of two redox centres (ortho-quinone/para-quinone or quinone/seleniumcontaining triazole) through a copper-catalyzed azide-alkyne cycloaddition (CuAAC) reaction. The
combination of two naphthoquinoidal substrates towards a synergetic product was indicated, but
not fully explored. Herein, we report the synthesis of 15 new quinone-based derivatives prepared
from click chemistry reactions and their subsequent evaluation against nine cancer cell lines and
the murine fibroblast line L929. Our strategy was based on the modification of the A-ring of paranaphthoquinones and subsequent conjugation with different ortho-quinoidal moieties. As anticipated,
our study identified several compounds with IC50 values below 0.5 µM in tumour cell lines. Some
of the compounds described here also exhibited an excellent selectivity index and low cytotoxicity
on L929, the control cell line. The antitumour evaluation of the compounds separately and in their
conjugated form proved that the activity is strongly enhanced in the derivatives containing two
redox centres. Thus, our study confirms the efficiency of using A-ring functionalized para-quinones
coupled with ortho-quinones to obtain a diverse range of two redox centre compounds with potential
applications against cancer cell lines. Here as well, it literally takes two for an efficient tango
Sensitivity and specificity of spinal cord Magnetic Resonance Imaging in the diagnosis of HTLV-1 associated myelopathy
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