Miracle-dz/UniFAR-FTUs huggingface dataset:
Concurrent engineering and DFMA approaches on the development of automotive panels and doors

Purpose: The automotive industry, in countries such as Brazil, China and India, in contrast to the North American and European markets, is in full expansion. Due to the huge competition in the globalized automotive market, such countries face a challenge to continue this expansion. Especially important in order to win this battle, will be their capacities to release new products in the market faster than their competitors and with more cost efficiency, making an appropriate use of tools such as total quality management, concurrent engineering and increasing the use of innovative concepts in production and logistics [1,2]. Design/methodology/approach: According with the expose above, the aim of this work was to develop DFMA tools for an industrial real case. There several tools that could be included in the Design for Excellence (DFX) methodologies. Initially, two of those can be outstand here: Design For Manufacturing (DFM) and Design For Asse. Findings: In terms of the press shop facilities of the plant the main results, were: layout optimization, press line automation feasibility, reduced setup and increased productivity, improved racks logistic, reduced overhead, reduced stamped part scraps and resources with mechanical presses selling. In terms of the planning activities, the main results were: reduce time to market, reduce press shop machinery and die stamping investments and reduce indirect cost. Practical implications: The main proposal of concurrent engineering is to shorten a product development time through a simultaneous time implementation of the several stages of the engineering activity in parallel and under a concurrent mode offering all information required by all elements of the product life cycle. Originality/value: This paper reviews fundamental concepts in concurrent engineering and DFX aiming to discuss criteria of assembly and manufacturability regarding the development of automotive panels and doors. A more detailed presentation of the Finite Element Analysis (FEA) and Computer Aided Design (CAD) results obtained during the practical industrial case of auto body panel development are not presented here due to data confidentiality and page limitation.
Ocular Complications in Cutaneous Lupus Erythematosus: A Systematic Review with a Meta-Analysis of Reported Cases

Ocular complications associated with cutaneous lupus erythematosus (CLE) are less studied compared with those ones associated with systemic lupus erythematosus (SLE). The main ocular sites involved in patients affected by discoid lupus erythematosus (DLE) are eyelids followed by orbit and periorbit, the least being cornea. The most common complications are blepharitis usually affecting the lower lid and associated with some type of lid lesion such as plaque or erythematosus patches and madarosis. Few cases with LE profundus (LEP) and ocular complications are reported, but they are associated with orbital inflammatory syndrome and severe complications. The main treatment prescribed is hydroxychloroquine with a dose of 200 mg twice a day for 6 to 8 weeks. Corticosteroids are also used. Intervals between the correct diagnosis and the beginning of the ocular symptoms are commonly delayed. Ophthalmologist should be aware of the ocular manifestation of this autoimmune disease.
Pacemaking Property of RVLM Presympathetic Neurons

Despite several studies describing the electrophysiological properties of RVLM presympathetic neurons, there is no consensus in the literature about their pacemaking property, mainly due to different experimental approaches used for recordings of neuronal intrinsic properties. In this review we are presenting a historical retrospective about the pioneering studies and their controversies on the intrinsic electrophysiological property of auto-depolarization of these cells in conjunction with recent studies from our laboratory documenting that RVLM presympathetic neurons present pacemaking capacity. We also discuss whether increased sympathetic activity observed in animal models of neurogenic hypertension (CIH and SHR) are dependent on changes in the intrinsic electrophysiological properties of these cells or due to changes in modulatory inputs from neurons of the respiratory network. We also highlight the key role of INaP as the major current contributing to the pacemaking property of RVLM presympathetic neurons.
SPINE bioinformatics and data‐management aspects of high‐throughput structural biology

SPINE (Structural Proteomics In Europe) was established in 2002 as an integrated research project to develop new methods and technologies for high‐throughput structural biology. Development areas were broken down into workpackages and this article gives an overview of ongoing activity in the bioinformatics workpackage. Developments cover target selection, target registration, wet and dry laboratory data management and structure annotation as they pertain to high‐throughput studies. Some individual projects and developments are discussed in detail, while those that are covered elsewhere in this issue are treated more briefly. In particular, this overview focuses on the infrastructure of the software that allows the experimentalist to move projects through different areas that are crucial to high‐throughput studies, leading to the collation of large data sets which are managed and eventually archived and/or deposited.
Link Prediction with Cardinality Constraint

Inferring the links among entities in networks is an important research problem for various disciplines. Depending on the specific application settings, the links to be inferred are usually subject to different cardinality constraints, like one-to-one, one-to-many and many-to-many. However, most existing research works on link prediction problems fail to consider such a kind of constraint. In this paper, we propose to study the link prediction problem with general cardinality constraints, which is formally defined as the CLP (Cardinality Constrained Link Prediction) problem. By minimizing the projection loss of links from feature vectors to labels, the CLP problem is formulated as an optimization problem involving multiple variables, where the cardinality constraints are modeled as mathematical constraints on node degrees. The objective function is shown to be not jointly convex and the optimal solution subject to the cardinality constraints can be very time-consuming to achieve. To solve the optimization problem, an iterative variable updating based link prediction framework ITERCLIPS (Iterative Constrained Link Prediction & Selection) is introduced in this paper, which involves the steps on link updating and selection alternatively. To overcome the high time cost problem, a greedy link selection step is introduced in this paper, which picks links greedily while preserving the link cardinality constraints simultaneously. Meanwhile, to ensure the effectiveness of ITERCLIPS on large-scale networks, a distributed implementation of ITERCLIPS is further presented as a scalable solution to the CLP problem. Extensive experiments have been done on three real-world network datasets with different types of cardinality constraints, and the experimental results achieved by ITERCLIPS on all these datasets can demonstrate the effectiveness and advantages of ITERCLIPS in solving the CLP problem.
Heritability of P. falciparum and P. vivax Malaria in a Karen Population in Thailand

The majority of studies concerning malaria host genetics have focused on individual genes that confer protection against rather than susceptibility to malaria. Establishing the relative impact of genetic versus non-genetic factors on malaria infection and disease is essential to focus effort on key determinant factors. This relative contribution has rarely been evaluated for Plasmodium falciparum and almost never for Plasmodium vivax. We conducted a longitudinal cohort study in a Karen population of 3,484 individuals in a region of mesoendemic malaria, Thailand from 1998 to 2005. The number of P. falciparum and P. vivax clinical cases and the parasite density per person were determined. Statistical analyses were performed to account for the influence of environmental factors and the genetic heritability of the phenotypes was calculated using the pedigree-based variance components model. The genetic contribution to the number of clinical episodes resulting from P. falciparum and P. vivax were 10% and 19% respectively. There was also moderate genetic contribution to the maximum and overall parasite trophozoite density phenotypes for both P. falciparum (16%&16%) and P. vivax (15%&13%). These values, for P. falciparum, were similar to those previously observed in a region of much higher transmission intensity in Senegal, West Africa. Although environmental factors play an important role in acquiring an infection, genetics plays a determinant role in the outcome of an infection with either malaria parasite species prior to the development of immunity.
A Fast-Locking Digital PLL : Using integrated and differentiator controlling VHDL-AMS and Matlab / Simulink Modeling and Simulations

In this paper we are using new method called “A fast –locking digital DPLL using integrator and diffentiator controlling with VHDL AMS and Matlab. This method reduces the locking Time and improves performance of DPLL. In the Previous method the fast locking DPLL operation Reduces the lock time by a factor about 4.10 Compared to its conventional DPLL counterpart. But the proposed method more effective to reduce locking time with few nano second. It has less computational complexity compare to the previous method.
Constraints on the magnitude and patterns of ocean cooling at the Last Glacial Maximum

Observation-based reconstructions of sea surface temperature from relatively stable periods in the past, such as the Last Glacial Maximum, represent an important means of constraining climate sensitivity and evaluating model simulations1. The first quantitative global reconstruction of sea surface temperatures during the Last Glacial Maximum was developed by the Climate Long-Range Investigation, Mapping and Prediction (CLIMAP) project in the 1970s and 1980s (refs 2,3). Since that time, several shortcomings of that earlier effort have become apparent4. Here we present an updated synthesis of sea surface temperatures during the Last Glacial Maximum, rigorously defined as the period between 23 and 19 thousand years before present, from the Multiproxy Approach for the Reconstruction of the Glacial Ocean Surface (MARGO) project5. We integrate microfossil and geochemical reconstructions of surface temperatures and include assessments of the reliability of individual records. Our reconstruction reveals the presence of large longitudinal gradients in sea surface temperature in all of the ocean basins, in contrast to the simulations of the Last Glacial Maximum climate available at present6,7. Studies following the Climate Long-Range Investigation, Mapping and Prediction (CLIMAP) project mainly reanalysed old primary data, applied single new proxies or concentrated on specific ocean basins8–11. The Multiproxy Approach for the Reconstruction of the Glacial Ocean Surface (MARGO) project’s objective has been to compile and analyse available estimates of Last Glacial Maximum (LGM) sea surface temperatures (SSTs) based on all prevalent microfossil-based (transfer functions based on planktonic foraminifera, diatom, dinoflagellate cyst and radiolarian abundances) and geochemical (alkenones and planktonic foraminifera Mg/Ca) palaeothermometers. The MARGOproject approach is to argue that no current proxymethod is objectively better than another to provide an accurate picture of past SST, and that consequently the multiproxy approach yields the least biased representation of past reality. By using a rigorous definition of the LGM time interval (19–23 cal kyr bp; ref. 4), many records used previously had to be discarded. Other key features are the use of a common data set of ambient temperatures for the calibration of all proxies and the assessment of the reliability of individual SST estimates5. The MARGO compilation combines 696 individual SST reconstructions (Fig. 1). The coverage is especially dense in the North Atlantic, the SouthernOcean and the tropics. Several oceanic regions remain undersampled, such as the subtropical gyres, especially in the Pacific Ocean. Individual proxies have different spatial coverage and analyses of multiple palaeothermometers on the same material remain rare. To address this spatial bias, we have projected the entire SST data set onto a regular grid of
Dynamic Mechanism of TSC Condensation Motion

This paper discusses and explains the time-dependent quantum-mechanical behavior of electron-clouds in 4D/TSC (tetrahedral symmetric condensate) condensation motion by the Langevin equation, in comparison with steady ground state electron orbits and their de Broglie wave lengths for the D-atom and D2 molecule. An electron orbit in a “d‐e‐d‐e” quasi-molecular system of a face of 4D/TSC under time-dependent condensation makes a spiral track, finally reaching the center-of-mass point of the TSC, with a tail of time-varying effective wave length. The role and merit of the heavy mass electronic quasi-particle expansion theory (HMEQPET) method for approximating time-dependent TSC trapping potential and relating it to the estimation of time-dependent Coulomb barrier penetration probabilities of a 4D cluster is explained. © 2009 ISCMNS. All rights reserved.
Implementing organisational change using action research in two Asian cultures

This paper is based on organizational change projects implemented by two managers, the authors of this paper, who used action research in their own organizations for their doctoral studies. Both projects used action learning and action science concepts as a subset of the overall action research intervention, although not explicitly in the second project. One project was carried out to prepare the engineering division of a Japanese multinational company in Singapore to expand its capability to carry out global projects by making large-scale changes in its structure and processes. The other project was carried out in a very large Indian bureaucracy to introduce total quality management in one part of this organization. This paper will first introduce the concepts of action research, action learning, and action science in management research. The two research projects will then be described. This will be followed by the two researchers comparing their projects and reflecting on what changes they would make to the strategies they used in their projects if they were to do this all over again. The paper will conclude with recommendations for project managers who may want to use action research to implement organizational change projects.
GSK-3: tricks of the trade for a multi-tasking kinase

Glycogen synthase kinase 3 (GSK-3) is a multifunctional serine/threonine kinase found in all eukaryotes. The enzyme is a key regulator of numerous signalling pathways, including cellular responses to Wnt, receptor tyrosine kinases and G-protein-coupled receptors and is involved in a wide range of cellular processes, ranging from glycogen metabolism to cell cycle regulation and proliferation. GSK-3 is unusual in that it is normally active in cells and is primarily regulated through inhibition of its activity. Another peculiarity compared with other protein kinases is its preference for primed substrates, that is, substrates previously phosphorylated by another kinase. Several recent advances have improved our understanding of GSK-3 regulation in multiple pathways. These include the solution of the crystal structure of GSK-3, which has provided insight into GSK-3's penchant for primed substrates and the regulation of GSK-3 by serine phosphorylation, and findings related to the involvement of GSK-3 in the Wnt/β-catenin and Hedgehog pathways. Finally, since increased GSK-3 activity may be linked to pathology in diseases such as Alzheimer's disease and non-insulin-dependent diabetes mellitus, several new GSK-3 inhibitors, such as the aloisines, the paullones and the maleimides, have been developed. Although they are just starting to be characterized in cell culture experiments, these new inhibitors hold promise as therapeutic agents.
Nanophotonics and quantum optics

The performances of photonic devices are getting closer to those required by quantum technology and a bridge may be created by substantial progress in our ability to control light-matter interactions. The dramatic advances of nanotechnology experienced in recent years have enabled us to fabricate optical nanostructures that greatly improve the conversion of localized electromagnetic energy into radiation and vice versa. We discuss how these may enable the implementation of novel light-matter interfaces for investigating and harnessing quantum optical effects and explain how unprecedented interaction regimes can be achieved.
Facial expression detection

Due to globalization and digital divide facial expression detection has received the primary attention in order to identify the criminals and breaches. Facial expressions are the changes occurring on the human face indicating a person's internal emotional states, intents or societal communications. Depending on the expressions on the face, human face is the most principal mode of conveying and deducing affective states of human ones. In real time, facial expression detection has become a prominent research area as it plays an important role in Human Computer Interaction. The applications of the facial expression detection are computer vision, biometric security, social interaction, emotional intelligence and social intelligence. This paper focuses a brief survey about various techniques used in facial expression detection and their respective pros and cons.
Characterization of Constituents and Anthelmintic Properties of Hagenia abyssinica

The dried female flowers of Hagenia abyssinica (Bruce) J. F. Gmel. (Rosaceae) are traditionally used as an anthelmintic remedy in Ethiopia and formerly were incorporated into the European Pharmacopoeia. One-, two- and tricyclic phloroglucinol derivatives (kosins) were suggested to be the active principles. However, polar constituents may also contribute to the activity. Therefore, we investigated for the first time the polar constituents. We isolated typical Rosaceae constituents such as quercetin 3-O-β-glucuronide, quercetin 3-O-β-glucoside and rutin. Polar kosin glycosides or derivatives could not be detected. The anthelmintic activity of fractions of different polarity were tested against the blood fluke Schistosoma mansoni, the liver flukes Clonorchis sinensis and Fasciola hepatica and the intestinal fluke Echinostoma caproni. The anthelmintic activity decreased with increasing polarity of the tested fractions. ESI-MS investigations indicated the predominant occurrence of kosins in the active fractions. Using the anthelmintic active extracts of Hagenia abyssinica we developed a simple, inexpensive bioassay against the non-parasitic nematode Caenorhabditis elegans, which can be used as an initial screening procedure for anthelmintic properties of crude extracts of plants or fungi. The anthelmintic activity of test extracts against the model organism was determined in a microtiter plate assay by enumeration of living and dead nematodes under a microscope.
Object shape and touch sensing on interactive tables with optical fiber sensors

In this paper, we present an approach for sensing object shapes and touching of interactive tables based on diffuse illumination (DI) and frustrated total internal reflection (FTIR) and other infrared-based tracking approaches. Our approach uses tangible objects with series connection of optical fibers as bend and touch sensors. The approach enables detection of object deformations and touched points on the object with no modification of the original tabletop-based tracking system. We present the basic concept and an initial evaluation of the approach.
Efficient Dense 3D Rigid-Body Motion Segmentation in RGB-D Video

Motion is a fundamental segmentation cue in video. Many current approaches segment 3D motion in monocular or stereo image sequences, mostly relying on sparse interest points or being dense but computationally demanding. We propose an efficient expectation-maximization (EM) framework for dense 3D segmentation of moving rigid parts in RGB-D video. Our approach segments two images into pixel regions that undergo coherent 3D rigid-body motion. Our formulation treats background and foreground objects equally and poses no further assumptions on the motion of the camera or the objects than rigidness. While our EM-formulation is not restricted to a specific image representation, we supplement it with efficient image representation and registration for rapid segmentation of RGB-D video. In experiments we demonstrate that our approach recovers segmentation and 3D motion at good precision.
Testing Web Services for Robustness: A Tool Demo

Web services represent a powerful interface for back-end systems that must provide a robust interface to client applications, even in the presence of invalid inputs. However, developing robust services is a difficult task. In this paper we demonstrate wsrbench, an online tool that facilitates web services robustness testing. Additionally, we present two scenarios to motivate robustness testing and to demonstrate the power of robustness testing in web services environments.
Optimal scheduling and QoS power control for cognitive underlay networks

We study the NP-hard problem of scheduling and power control with quality-of-service (QoS) constraints. We consider a generic wireless network comprising K mutually interfering links and N ≪ K orthogonal time or frequency slots. We formulate the joint resource allocation problem as a constrained optimization problem, specifically, as a mixed-integer programming (MIP) problem. This enables us to solve the problem exactly, and relatively efficiently for the vast majority of instances, using off-the-shelf algorithms. We also apply our formulation to the paradigm of cognitive underlay networks.
Threshold concepts and threshold skills in computing

Threshold concepts can be used to both organize disciplinary knowledge and explain why students have difficulties at certain points in the curriculum. Threshold concepts transform a student's view of the discipline; before being learned, they can block a student's progress. In this paper, we propose that in computing, skills, in addition to concepts, can sometimes be thresholds. Some students report finding skills more difficult than concepts. We discuss some computing skills that may be thresholds and compare threshold skills and threshold concepts.