The single machine earliness and tardiness scheduling problem: lower bounds and a branch-and-bound algorithm

This paper addresses the single machine scheduling problem with a common due date aiming to minimize earliness and tardiness penalties. Due to its complexity, most of the previous studies in the literature deal with this problem using heuristics and metaheuristics approaches. With the intention of contributing to the study of this problem, a branch-and-bound algorithm is proposed. Lower bounds and pruning rules that exploit properties of the problem are introduced. The proposed approach is examined through a computational comparative study with 280 problems involving different due date scenarios. In addition, the values of optimal solutions for small problems from a known benchmark are provided.

Evolutionary conservation of the membrane fusion machine

Recent structural studies of proteins mediating membrane fusion reveal intriguing similarities between diverse viral and mammalian systems. Particularly striking is the close similarity between the transmembrane envelope glycoproteins from the retrovirus HTLV-1 and the filovirus Ebola. These similarities suggest similar mechanisms of membrane fusion. The model that fits most currently available data suggests fusion activation in viral systems is driven by a symmetrical conformational change triggered by an activation event such as receptor binding or a pH change. The mammalian vesicle fusion mediated by the SNARE protein complex most likely occurs by a similar mechanism but without symmetry constraints.

A study of the interaction between operator style and machine capability for a hydraulic mining excavator

This paper presents a case study that explores how operator digging style juxtaposes with mechanical capability for a class of hydraulic mining excavators. The relationships between actuator and digging forces are developed and these are used to identify the excavator's capability to apply forces in various directions. Two distinct modes of operation are examined to see how they relate to the mechanical capabilities of the linkage and to establish if one has merit over the other. It is found that one of these styles results in lower loading of the machine.

Improving Alzheimer`s Disease Diagnosis with Machine Learning Techniques

There is not a specific test to diagnose Alzheimer`s disease (AD). Its diagnosis should be based upon clinical history, neuropsychological and laboratory tests, neuroimaging and electroencephalography (EEG). Therefore, new approaches are necessary to enable earlier and more accurate diagnosis and to follow treatment results. In this study we used a Machine Learning (ML) technique, named Support Vector Machine (SVM), to search patterns in EEG epochs to differentiate AD patients from controls. As a result, we developed a quantitative EEG (qEEG) processing method for automatic differentiation of patients with AD from normal individuals, as a complement to the diagnosis of probable dementia. We studied EEGs from 19 normal subjects (14 females/5 males, mean age 71.6 years) and 16 probable mild to moderate symptoms AD patients (14 females/2 males, mean age 73.4 years. The results obtained from analysis of EEG epochs were accuracy 79.9% and sensitivity 83.2%. The analysis considering the diagnosis of each individual patient reached 87.0% accuracy and 91.7% sensitivity.

Low- and high-density lipoprotein cholesterol goal attainment in dyslipidemic women: The Lipid Treatment Assessment Project (L-TAP) 2

Background Differences between women and men have been documented for both diagnostic testing and treatment in cardiology. This analysis evaluates whether low-density lipoprotein cholesterol (LDL-C) success rates according to current guidelines and high-density lipoprotein cholesterol (HDL-C) levels differ by gender in the L-TAP 2 population. Methods Patients aged >= 20 years with dyslipidemia on stable lipid-lowering therapy were assessed in 9 countries between September 2006 and April 2007. Low-density lipoprotein cholesterol goal attainment by cardiovascular risk level and region and determinants of low HDL-C were compared between genders. Results Of 9,955 patients (45.3% women) evaluated, women had a significantly lower overall LDL-C success rate than men (71.5% vs 73.7%, P = .014), due entirely to the difference in the high-risk/coronary heart disease (CHD) group (LDL-C goal <100 mg/dL, 62.6% vs 70.6%, P < .0001) Among CHD patients with >= 2 additional risk factors, only 26.7% of women and 31.5% of men (P = .021) attained the optional LDL-C goal of <70 mg/dL. High-density lipoprotein cholesterol was <50 mg/dL in 32.2% of women and <40 mg/dL in 26.8% of men (P < .0001), including 38.2% of women and 29.8% of men in the high risk/CHD group (P < .0001). Predictors of low HDL-C in women included diabetes, smoking, waist circumference, and hypertension. Conclusions Cholesterol treatment has, improved substantially since the original L-TAP a decade ago, when only 39% of women attained their LDL-C goal. However, high-risk women are undertreated compared to men, and a substantial opportunity remains to reduce their cardiovascular risk. (Am Heart J 2009; 158:860-6.)

Reaching C-Reactive Protein and Low-Density Lipoprotein Cholesterol Goals in Dyslipidemic Patients (from the Lipid Treatment Assessment Project [L-TAP] 2)

The purpose of the present substudy of the Lipid Treatment Assessment Project 2 was to assess dual C-reactive protein (CRP) and low-density lipoprotein (LDL) cholesterol goal attainment across a spectrum of low-, moderate-, and high-risk patients with dyslipidemia in 8 countries in North America, Latin America, Europe, and Asia. Of the 9,518 patients studied overall, 45% were women, 64% had hypertension, 31% had diabetes, 14% were current smokers, 60% were high risk, and 79% were taking a statin. The median CRP level was 1.5 mg/L (interquartile range 0.2 to 2.8). On multivariate analysis, higher CRP levels were associated with older age, female gender, hypertension, current smoking, greater body mass index, larger waist circumference, LDL cholesterol level, and triglyceride/high-density lipoprotein cholesterol ratio. In contrast, being from Asia or taking a statin was associated with lower levels. Across all risk groups, 59% of patients attained the CRP target of <2 mg/L, and 33% had <1 mg/L. Overall, 44% of patients attained both their National Cholesterol Education Program Adult Treatment Panel III LDL cholesterol target and a CRP level of <2 mg/L, but only 26% attained their LDL cholesterol target and a CRP level of <1 mg/L. In the very high-risk group with coronary heart disease and >= 2 risk factors, only 19% attained both their LDL cholesterol goal and a CRP level of <2 mg/L and 12% their LDL cholesterol goal and a CRP level of <1 mg/L. In conclusion, with current treatment, most dyslipidemic patients do not reach the dual CRP and LDL cholesterol goals. Smoking cessation, weight reduction, and the greater use of more potent statins at higher doses might be able to improve these outcomes. (C) 2011 Elsevier Inc. All rights reserved. (Am J Cardiol 2011;107:1639-1643)

Lipid goals among patients with diabetes or metabolic syndrome: Lipid Treatment Assessment Project (L-TAP) 2

Objective: This analysis of the Lipid Treatment Assessment Project 2 population compared lipid goal attainment by diabetes and metabolic syndrome status. Research design and methods: Dyslipidaemic patients aged >= 20 years on stable lipid lowering therapy had their lipid levels determined once during enrolment at investigation sites in nine countries between September 2006 and April 2007. Achievement of low-density lipoprotein (LDL) cholesterol success, triglycerides < 150 mg/dl (1.7 mmol/l), and high-density lipoprotein (HDL) cholesterol success (> 40 mg/dl [1.0 mmol/l] in men or > 50 mg/dl [1.3 mmol/l] in women) was compared using logistic regression. Results: A total of 9955 patients were evaluated. Patients with diabetes, compared with those without diabetes, had lower achievement of LDL cholesterol goals (according to National Cholesterol Education Program Adult Treatment Panel [NCEP ATP] III guidelines; 67% vs. 75%), triglycerides < 150 mg/dl (55% vs. 64%), and HDL cholesterol success (61% vs. 74%; p < 0.0001 for all comparisons). The significantly lower lipid goal attainment in patients with diabetes was consistent across participating world regions. Patients with metabolic syndrome, compared with those without metabolic syndrome, had lower achievement of NCEP ATP III LDL cholesterol goals (69% vs. 76%), triglycerides < 150 mg/dl (36% vs. 83%), and HDL cholesterol success (49% vs. 89%; p < 0.0001 for all comparisons). As the number of metabolic syndrome components increased, lipid success rates progressively decreased (p < 0.0001 for LDL cholesterol success, triglycerides < 150 mg/dl, and HDL cholesterol success). Conclusions: This analysis indicates that despite their increased cardiovascular risk, patients with diabetes or metabolic syndrome remain undertreated.

Anti-Ro antibody and cutaneous vasculitis in systemic lupus erythematosus

Systemic lupus erythematosus (SLE) is a complex systemic autoimmune disease with various clinical and serological manifestations. Previous studies have shown the association of SLE and anti-Ro antibody with a series of clinical manifestations. We investigated this association in Brazilian patients with SLE. Five hundred and nine consecutive patients who fulfilled the revised American College of Rheumatology criteria for the SLE were enrolled in the study from June to December 2007. All patients were from our Service of Rheumatology, School of Medicine, University of Sao Paulo, Brazil. Frequencies of a series of laboratorial and clinical manifestations were calculated. Anti-Ro antibody was associated to anti-La antibody, female, and cutaneous vasculitis. In multivariate analysis, patients with anti-Ro antibody has 1.63 (95% CI 1.07-2.50) more risk to develop cutaneous vasculitis than patients without this antibody. Our data have demonstrated that anti-Ro antibody is an independent useful serologic marker for cutaneous vasculitis.

Desenvolvimento e qualidade da lima ácida Tahiti em Colorado do Oeste, RO

Os aspectos de crescimento, desenvolvimento e qualidade de frutos cítricos na região de Colorado do Oeste, RO, não têm sido explorados. Dessa forma, o objetivo deste trabalho foi avaliar o crescimento e a qualidade fisico-química de frutos de lima ácida Tahiti em diferentes épocas de desenvolvimento, sem irrigação, na região de Colorado do Oeste, RO. O experimento foi realizado no Instituto Federal de Rondônia (IFRO), Campus de Colorado do Oeste, durante os anos de 2006, 2007 e 2008, com o acompanhamento das safras de 2006/07 e 2007/08. Para cada safra foram avaliadas oito épocas de desenvolvimento dos frutos, da fase de chumbinho à colheita. Determinaram-se soma térmica em graus-dia, unidades fototérmicas e precipitação pluviométrica. Houve influência das condições meteorológicas na duração das épocas de desenvolvimento dos frutos e na qualidade dos frutos na safra 2006/07, mas na safra 2007/08 não houve diferença significativa para peso, tamanho médio dos frutos, acidez e rendimento médio de suco. Tamanho e peso dos frutos, pH, sólidos solúveis, acidez, relação SS/AT e teor de vitamina C do suco dos frutos apresentaram valores médios adequados aos padrões comerciais exigidos pelo mercado in natura e pela indústria. O rendimento de suco dos frutos colhidos na safra 2006/07 apresentou qualidade satisfatória para atender às necessidades do mercado in natura ou industrial, mas não para a safra 2007/08, devido ao baixo rendimento de suco dos frutos, provavelmente em razão da menor precipitação pluviométrica ocorrida nessa safra. O índice tecnológico encontrado nas safras avaliadas está abaixo do exigido pela indústria.

Application of Gage R&R methodology for improving the training and evaluation of automatic optical inspection machine operators

The current level of demand by customers in the electronics industry requires the production of parts with an extremely high level of reliability and quality to ensure complete confidence on the end customer. Automatic Optical Inspection (AOI) machines have an important role in the monitoring and detection of errors during the manufacturing process for printed circuit boards. These machines present images of products with probable assembly mistakes to an operator and him decide whether the product has a real defect or if in turn this was an automated false detection. Operator training is an important aspect for obtaining a lower rate of evaluation failure by the operator and consequently a lower rate of actual defects that slip through to the following processes. The Gage R&R methodology for attributes is part of a Six Sigma strategy to examine the repeatability and reproducibility of an evaluation system, thus giving important feedback on the suitability of each operator in classifying defects. This methodology was already applied in several industry sectors and services at different processes, with excellent results in the evaluation of subjective parameters. An application for training operators of AOI machines was developed, in order to be able to check their fitness and improve future evaluation performance. This application will provide a better understanding of the specific training needs for each operator, and also to accompany the evolution of the training program for new components which in turn present additional new difficulties for the operator evaluation. The use of this application will contribute to reduce the number of defects misclassified by the operators that are passed on to the following steps in the productive process. This defect reduction will also contribute to the continuous improvement of the operator evaluation performance, which is seen as a quality management goal.