Childhood Maltreatment and BMI Trajectories to Mid-Adult Life: Follow-Up to Age 50y in a British Birth Cohort.

Childhood maltreatment including abuse and neglect has been associated with adult obesity, but evidence on life-course development of obesity or BMI gain is unclear. We aim to establish whether childhood maltreatments are related to obesity or BMI at different life-stages 7y-50y and to identify possible explanations for associations

Training medical students to improve the management of people with epilepsy

Purpose: To evaluate the knowledge, attitude and perception of medical students prior to and after a training course about epilepsy. Methods: We used a KAP questionnaire with sixty-one questions which assesses knowledge, attitude and practice of epilepsy. Questionnaires were completed by 185 medical students, before and after epilepsy training. We compared the answers to see whether the lecture had changed the knowledge, attitude and practice in epilepsy. Results: One hundred and six students completed the questionnaire before an eight hour course on epilepsy and 79 students completed the questionnaire one year after the course. Comparison of the knowledge scores prior to (mean=53.9, standard deviation=11.4) and after the course (mean=63.8, standard deviation=11.9) showed that students had improved knowledge after the course (t-test=5.6, p < 0.001). Discussion: Training course on epilepsy for medical students can promote improvement in the knowledge, attitudes and perception regarding epilepsy, which is maintained one year later. These results highlight the importance of continuous educational programs within the Medical Curriculum

Revisiting rescheduling: MRP nervousness and the bullwhip effect

This is the author accepted manuscript. The final version is available from Taylor & Francis via the DOI in this recordWe study the material requirements planning (MRP) system nervousness problem from a dynamic, stochastic and economic perspective in a two-echelon supply chain under first-order auto-regressive demand. MRP nervousness is an effect where the future order forecasts, given to suppliers so that they may plan production and organise their affairs, exhibits extreme period-to-period variability. We develop a measure of nervousness that weights future forecast errors geometrically over time. Near-term forecast errors are weighted higher than distant forecast errors. Focusing on replenishment policies for high volume items, we investigate two methods of generating order call-offs and two methods of creating order forecasts. For order call-offs, we consider the traditional order-up-to (OUT) policy and the proportional OUT policy (POUT). For order forecasts, we study both minimum mean square error (MMSE) forecasts of the demand process and MMSE forecasts coupled with a procedure that accounts for the known future influence of the POUT policy. We show that when retailers use the POUT policy and account for its predictable future behaviour, they can reduce the bullwhip effect, supply chain inventory costs and the manufacturer’s MRP nervousness

Contribution of an alveolar cell of origin to the high-grade malignant phenotype of pregnancy-associated breast cancer.

Pregnancy-associated breast cancers (PABCs) are tumors diagnosed during pregnancy or up to 5 years following parturition, and are usually high-grade, connective tissue-rich, and estrogen receptor (ER)/progesterone receptor-negative. Little is known about the cellular origin of PABCs or the mechanisms by which PABCs are initiated. Using the RCAS retrovirus to deliver the ErbB2 oncogene into the mammary epithelium of our previously reported MMTV-tva transgenic mice, we detected high-grade, poorly differentiated, stroma-rich and ER-negative tumors during pregnancy and lactation. These high-grade and stroma-rich tumors were less frequent in involuted mice or in age-matched nulliparous mice. More importantly, by generating a WAP-tva transgenic line for expression of ErbB2 selectively in WAP(+) mammary alveolar cells, we found that tumors had similar morphological phenotypes (high grade, poorly differentiated, stroma-rich and ER-negative), irrespective of the time since pregnancy and even in the absence of pregnancy. These data suggest that PABCs arise preferentially from an alveolar cell population that expands during pregnancy and lactation. This somatic mouse model may also be useful for preclinical testing of new prophylactic and therapeutic strategies against PABC

Highly photosensitive thin film transistors based on a composite of poly(3-hexylthiophene) and titania nanoparticles

2009-2010 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment

Facial action unit (AU) detection and face alignment are two highly correlated tasks since facial landmarks can provide precise AU locations to facilitate the extraction of meaningful local features for AU detection. Most existing AU detection works often treat face alignment as a preprocessing and handle the two tasks independently. In this paper, we propose a novel end-to-end deep learning framework for joint AU detection and face alignment, which has not been explored before. In particular, multi-scale shared features are learned firstly, and high-level features of face alignment are fed into AU detection. Moreover, to extract precise local features, we propose an adaptive attention learning module to refine the attention map of each AU adaptively. Finally, the assembled local features are integrated with face alignment features and global features for AU detection. Experiments on BP4D and DISFA benchmarks demonstrate that our framework significantly outperforms the state-of-the-art methods for AU detection.Comment: This paper has been accepted by ECCV 201

SPECS: Secure and privacy enhancing communications schemes for VANETs

This journal issue entitled: Advances in Ad Hoc Networks (I)Vehicular ad hoc network (VANET) is an emerging type of networks which facilitates vehicles on roads to communicate for driving safety. The basic idea is to allow arbitrary vehicles to broadcast ad hoc messages (e.g. traffic accidents) to other vehicles. However, this raises the concern of security and privacy. Messages should be signed and verified before they are trusted while the real identity of vehicles should not be revealed, but traceable by authorized party. Existing solutions either rely heavily on a tamper-proof hardware device, or cannot satisfy the privacy requirement and do not have an effective message verification scheme. In this paper, we provide a software-based solution which makes use of only two shared secrets to satisfy the privacy requirement (with security analysis) and gives lower message overhead and at least 45% higher successful rate than previous solutions in the message verification phase using the bloom filter and the binary search techniques (through simulation study). We also provide the first group communication protocol to allow vehicles to authenticate and securely communicate with others in a group of known vehicles. © 2010 Elsevier B.V. All rights reserved.postprin

Privacy-preserving advance power reservation

Smart grid is considered to be the next generation power system. Integrating information and communication technology, power electronics, and power system technologies, smart grid reduces excess power generation by better matching power generation with customer demands, and facilitates renewable power generation by closely monitoring renewable energy source status. Such a large-scale network may be subject to various attacks. In particular, authentication and user privacy preservation are considered two major security concerns. In this article, we first highlight the importance of smart grid security. Next we introduce a new power request paradigm in which a customer is allowed to submit a power usage plan in advance. We then propose a secure and privacy-preserving power request scheme as a solution to this problem. To achieve the privacy-preserving property, our scheme employs two cryptographic techniques: anonymous credential and blind signature. We conclude this article by discussing the security and performance issues of our proposed scheme. © 1979-2012 IEEE.published_or_final_versio

Security and privacy issues for inter-vehicle communications in VANETs

Vehicular ad hoc network (VANET) is an emerging type of networks to allow vehicles on roads to communicate for driving safety. An vehicle can broadcast messages (e.g. accident information) to other vehicles. These messages may have impact on other vehicles as well as the traffic control system, so all messages must be signed and authenticated. On the other hand, privacy should be enforced while the real identity of the sender should be traceable by authorized party. In this poster, we first discuss the limitations of existing solutions. In particular, we describe an impersonation attack to one of the schemes, highlight the problem of communications overhead, and effectiveness of the message verification procedure. Then, we present the main ideas of our proposed scheme which can be shown to be secure and more effective than existing schemes.published_or_final_versionThe 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops (SECON Workshops '09), Rome, Italy, 22-26 June 2009. In Proceedings of the 6th IEEE SECON Workshops, 2009, p. 1-

VSPN: VANET-based Secure and Privacy-preserving Navigation

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