161 resultados para email costs


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We studied infants and children with and without special health care needs (SHCN) during the first 8 years of life to compare the (i) types and costs to the government's Medicare system of non-hospital health-care services and prescription medication in each year and (ii) cumulative costs according to persistence of SHCN.

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 Background: Fresh Facts is a 30-day email-delivered intervention designed to increase the fruit and vegetable consumption of Australian young adults. This study investigated the extent to which the program was acceptable to members of the target audience and examined the relationships between participant and intervention characteristics, attrition, effectiveness, and acceptability ratings. Methods: Young adults were randomised to two levels of message frequency: high-frequency (n = 102), low-frequency (n = 173). Individuals in the high-frequency group received daily emails while individuals in the low-frequency group received an email every 3 days. Results: Individuals in the high-frequency group were more likely to indicate that they received too many emails than individuals in the low-frequency group. No other differences in acceptability were observed. Baseline beliefs about fruit and vegetables were an important predictor of intervention acceptability. In turn, acceptability was associated with a number of indicators of intervention success, including change in fruit and vegetable consumption. Conclusions: The findings highlight the importance of considering the relationship between these intervention and participant factors and acceptability in intervention design and evaluation. Results support the ongoing use of email-based interventions to target fruit and vegetable consumption within young adults. However, the relationships between beliefs about fruit and vegetable consumption and acceptability suggest that this intervention may be differentially effective depending on individual's existing beliefs about fruit and vegetable consumption. As such, there is a pressing need to consider these factors in future research in order to minimize attrition and maximize intervention effectiveness when interventions are implemented outside of a research context.

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To determine the impact of structured education promoting flexible intensive insulin therapy on rates of diabetic ketoacidosis, and the costs associated with emergency treatment for severe hypoglycaemia and ketoacidosis in adults with Type 1 diabetes.

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OBJECTIVE: To estimate the costs incurred by patients during the intensive and continuation phases of the current 6-month tuberculosis (TB) regimen in Bangladesh and Tanzania, and thus identify potential benefits to patients of a shorter, 4-month treatment regimen. DESIGN: The validated Stop TB patient cost questionnaire was adapted and used in interviews with 190 patients in the continuation phase of treatment with current regimens. RESULTS: In both countries, overall patient costs were lower during 2 months of the continuation phase (US$74 in Tanzania and US$56 in Bangladesh) than during the 2 months of the intensive phase of treatment (US$150 and US$111, respectively). However, continuation phase patient costs still represented 89% and 77% of the 2-month average national income in the respective countries. Direct travel costs in some settings were kept low by local delivery system features such as community treatment observation. Lost productivity and costs for supplementary foods remained significant. CONCLUSIONS: Although it is not a straightforward exercise to determine the exact magnitude of likely savings, a shorter regimen would reduce out-of-pocket expenses incurred by patients in the most recent 2 months of the continuation phase and allow an earlier return to productive activities. © 2014 The Union.

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To determine whether bronchoalveolar lavage (BAL)-directed therapy for infants and young children with cystic fibrosis (CF), rather than standard therapy, was justified on the grounds of a decrease in average costs and whether the use of BAL reduced treatment costs associated with hospital admissions.

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As online business activities continue to grow, it is important for organizations to understand the implications of being an e-commerce organization and the appropriateness of applying existing business techniques to e-commerce organizations. This paper examines issues in managing information and communication technologies (ICT) costs in e-commerce organizations and the potentials of the Time-Driven Activity-Based Costing (TDABC) model as a solution to these issues. The reliance on ICT in value creation, the unique natures of ICT costs and the need to maintain updated costing models present new challenges to e-commerce organizations in management of ICT costs. The TDABC model, as a variant of the Activity-Based Costing (ABC) model, inherits the strengths of activity-based paradigm and has unique features that can provide additional benefits to e-commerce organizations.

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Due to the critical security threats imposed by email-based malware in recent years, modeling the propagation dynamics of email malware becomes a fundamental technique for predicting its potential damages and developing effective countermeasures. Compared to earlier versions of email malware, modern email malware exhibits two new features, reinfection and self-start. Reinfection refers to the malware behavior that modern email malware sends out malware copies whenever any healthy or infected recipients open the malicious attachment. Self-start refers to the behavior that malware starts to spread whenever compromised computers restart or certain files are visited. In the literature, several models are proposed for email malware propagation, but they did not take into account the above two features and cannot accurately model the propagation dynamics of modern email malware. To address this problem, we derive a novel difference equation based analytical model by introducing a new concept of virtual infected user. The proposed model can precisely present the repetitious spreading process caused by reinfection and self-start and effectively overcome the associated computational challenges. We perform comprehensive empirical and theoretical study to validate the proposed analytical model. The results show our model greatly outperforms previous models in terms of estimation accuracy. © 2013 IEEE.

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A family owned Mexican company, Zapata Hermanos Sucesores, S.A. ("Zapata"), sold approximately US$950,000 worth of cookie tins over a period of four years to the Maurice Lenell Cooky Company ("Lenell"), an American company that produced baked goods. Lenell failed to pay Zapata for the cookie tins so Zapata sought legal advice and instituted legal proceedings against Lenell for breach of contract in the Federal District Court of Illinios. The cookie tin sale contracts were governed by the United Nations Convention on Contracts for the International Sale of Goods ("CISG"). Zapata succeeded in its Federal District Court claim and, as part of the Court's order, was awarded US$550,000 as foreseeable loss under Article 74 of the CISG, being the amount of legal fees incurred by Zapata in bringing proceedings against Lenell. On appeal to the Federal Appellate Court, however, the award of legal fees was overturned. The parties now find themselves contesting a leave application to appeal to the Supreme Court of the United States of America in a much anticipated debate over who should pay the lawyers.

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The goal of email classification is to classify user emails into spam and legitimate ones. Many supervised learning algorithms have been invented in this domain to accomplish the task, and these algorithms require a large number of labeled training data. However, data labeling is a labor intensive task and requires in-depth domain knowledge. Thus, only a very small proportion of the data can be labeled in practice. This bottleneck greatly degrades the effectiveness of supervised email classification systems. In order to address this problem, in this work, we first identify some critical issues regarding supervised machine learning-based email classification. Then we propose an effective classification model based on multi-view disagreement-based semi-supervised learning. The motivation behind the attempt of using multi-view and semi-supervised learning is that multi-view can provide richer information for classification, which is often ignored by literature, and semi-supervised learning supplies with the capability of coping with labeled and unlabeled data. In the evaluation, we demonstrate that the multi-view data can improve the email classification than using a single view data, and that the proposed model working with our algorithm can achieve better performance as compared to the existing similar algorithms.

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Artisanal fisheries are a key source of food and income for millions of people, but if poorly managed, fishing can have declining returns as well as impacts on biodiversity. Management interventions such as spatial and temporal closures can improve fishery sustainability and reduce environmental degradation, but may carry substantial short-term costs for fishers. The Lake Alaotra wetland in Madagascar supports a commercially important artisanal fishery and provides habitat for a Critically Endangered primate and other endemic wildlife of conservation importance. Using detailed data from more than 1,600 fisher catches, we used linear mixed effects models to explore and quantify relationships between catch weight, effort, and spatial and temporal restrictions to identify drivers of fisher behaviour and quantify the potential effect of fishing restrictions on catch. We found that restricted area interventions and fishery closures would generate direct short-term costs through reduced catch and income, and these costs vary between groups of fishers using different gear. Our results show that conservation interventions can have uneven impacts on local people with different fishing strategies. This information can be used to formulate management strategies that minimise the adverse impacts of interventions, increase local support and compliance, and therefore maximise conservation effectiveness.

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AIM: Child health varies with body mass index (BMI), but it is unknown by what age or how much this attracts additional population health-care costs. We aimed to determine the (1) cross-sectional relationships between BMI and costs across the first decade of life and (2) in longitudinal analyses, whether costs increase with duration of underweight or obesity. METHODS: Participants: Baby (n = 4230) and Kindergarten (n = 4543) cohorts in the nationally representative Longitudinal Study of Australian Children. OUTCOME: Medicare Benefits Scheme (including all general practitioner plus a large proportion of paediatrician visits) plus prescription medication costs to federal government from birth to sixth (Baby cohort) and fourth to tenth (Kindergarten cohort) birthdays. PREDICTOR: biennial BMI measurements over the same period. RESULTS: Among Australian children under 10 years of age, 5-6% were underweight, 11-18% overweight and 5-6% obese. Excess costs with low and high BMI became evident from age 4-5 years, with normal weight accruing the least, obesity the most, and underweight and overweight intermediate costs. Relative to overall between-child variation, these excess costs per child were very modest, with a maximum of $94 per year at age 4-5 years. Nonetheless, this projects to a substantial cost to government of approximately $13 million per annum for all Australian children aged less than 10 years. CONCLUSIONS: Substantial excess population costs provide further economic justification for promoting healthy body weight. However, obese children's low individual excess health-care costs mean that effective treatments are likely to increase short-term costs to the public health purse during childhood.

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PURPOSE: This study aimed to quantify the non-hospital healthcare costs associated with language difficulties within two nationally representative samples of children. METHOD: Data were from three biennial waves (2004-2008) of the Longitudinal Study of Australian Children (B cohort: 0-5 years; K cohort: 4-9 years). Language difficulties were defined as scores ≤ 1.25 SD below the mean on measures of parent-reported communication (0-3 years) and directly assessed vocabulary (4-9 years). Participant data were linked to administrative data on non-hospital healthcare attendances and prescription medications from the universal Australian Medicare subsidized healthcare scheme. RESULT: It was found that healthcare costs over each 2-year age band were higher for children with than without language difficulties at 0-1, 2-3, and 4-5 years, notably 36% higher (mean difference = $AU206, 95% CI = $90, $321) at 4-5 years (B cohort). The slightly higher 2-year healthcare costs for children with language difficulties at 6-7 and 8-9 years were not statistically different from those without language difficulties. Modelled to the corresponding Australian child population, 2-year government costs ranged from $AU1.2-$AU12.1 million (depending on age examined). Six-year healthcare costs increased with the persistence of language difficulties in the K cohort, with total Medicare costs increasing by $192 (95% CI = $74, $311; p = .002) for each additional wave of language difficulties. CONCLUSION: Language difficulties (whether transient or persistent) were associated with substantial excess population healthcare costs in childhood, which are in addition to the known broader costs incurred through the education system. It is unclear whether healthcare costs were specifically due to the assessment and/or treatment of language difficulties, as opposed to conditions that may be co-morbid with or may cause language difficulties.