181 research outputs found
A Consent-based Workflow System for Healthcare Systems
No full textIn this paper, we describe a new framework for healthcare systems where patients are able to control the disclosure of their medical data. In our framework, the patient's consent has a pivotal role in granting or removing access rights to subjects accessing patient's medical data. Depending on the context in which the access is being executed, different consent policies can be applied. Context is expressed in terms of workflows. The execution of a task in a given workflow carries the necessary information to infer whether the consent can be implicitly retrieved or should be explicitly requested from a patient. However, patients are always able to enforce their own decisions and withdraw consent if necessary. Additionally, the use of workflows enables us to apply the need-to-know principle. Even when the patient's consent is obtained, a subject should access medical data only if it is required by the actual situation. For example, if the subject is assigned to the execution of a medical diagnosis workflow requiring access to the patient's medical record. We also provide a complex medical case study to highlight the design principles behind our framework. Finally, the implementation of the framework is outlined
Encrypted Shared Data Spaces
No full textThe deployment of Share Data Spaces in open, possibly hostile, environments arises the need of protecting the confidentiality of the data space content. Existing approaches focus on access control mechanisms that protect the data space from untrusted agents. The basic assumption is that the hosts (and their administrators) where the data space is deployed have to be trusted. Encryption schemes can be used to protect the data space content from malicious hosts. However, these schemes do not allow searching on encrypted data. In this paper we present a novel encryption scheme that allows tuple matching on completely encrypted tuples. Since the data space does not need to decrypt tuples to perform the search, tuple confidentiality can be guaranteed even when the data space is deployed on malicious hosts (or an adversary gains access to the host). Our scheme does not require authorised agents to share keys for inserting and retrieving tuples. Each authorised agent can encrypt, decrypt, and search encrypted tuples without having to know other agents’ keys. This is beneficial inasmuch as it simplifies the task of key management. An implementation of an encrypted data space based on this scheme is described and some preliminary performance results are given
Analytical performance of the new ACL AcuStar HemosIL D-Dimer.
No full textSeveral lines of clinical evidence as well as guidelines and recommendations suggest that the overall diagnostic performance of D-dimer testing outstrips that of any other biomarker in the diagnostic approach of patients with venous thromboembolism or disseminated intravascular coagulation. Along with specific technical characteristics, the analytical performance of each D-dimer immunoassay should, however, be assessed before implementation in clinical practice. The aim of this study was to evaluate the analytical performance of HemosIL AcuStar D-Dimer immunoassay, a novel chemiluminescent immunoassay specifically designed for the instrument Instrumentation Laboratory ACL AcuStar. The within and between-run imprecision (n = 20) was comprised between 3.6 and 5.8%. The linearity was excellent up to 16 200 ng/ml (r = 1.00; P < 0.001), and optimal between 224 and 69 900 ng/ml (r = 0.992; P < 0.001). A significant agreement of values was observed between HemosIL AcuStar D-Dimer and HemosIL D-Dimer HS for ACL TOP (r = 0.884; P < 0.001), as well as with Vidas D-Dimer (r = 0.791; P < 0.001). Results of HemosIL AcuStar D-Dimer displayed a modest negative bias as compared with those of Vidas D-dimer (mean bias -22%; 95% Confidence Interval, -122% to 49%). The analytical accuracy assessed against Vidas D-dimer also yielded an area under the curve of 0.998 (P < 0.001). As regards, the preliminary definition of cutoff value, optimal sensitivity (100%) and specificity (96%) were found at a diagnostic threshold of 466 ng/ml. The results of this investigation attest that the novel HemosIL AcuStar D-Dimer is characterized by remarkable accuracy and precision, optimal linearity and excellent agreement with the reference immunoassay. As such, its technical and analytical performance would make it a suitable method for the rapid and accurate quantification of D-dimer in clinical laboratories
Intra- and Inter-Population Genetic Diversity of “Russello” and “Timilia” Landraces from Sicily: A Proxy towards the Identification of Favorable Alleles in Durum Wheat
No full textClimate change and global population growth call for urgent recovery of genetic variation from underexploited or unexplored durum wheat (Triticum turgidum ssp. durum) landraces. Indeed, these untapped genetic resources can be a valuable source of favorable alleles for environmental adaptation and tolerance or resistance to (a)biotic stress. In southern Italy, in addition to the widespread modern and highly productive durum wheat cultivars, various landraces have been rediscovered and reused for their adaptation to sustainable and low-input cropping systems and for their peculiar qualitative characteristics. Sicily is a semiarid area rich in landraces, some of which are independently reproduced by many farmers. Among these, “Timilia” and “Russello” have been independently grown in various areas and are now cultivated, mostly under organic systems, for their hypothetical greater benefits and height, which give them a high level of competitiveness against weeds despite their low yield potential. So far, there is little information on the genetic variations of “Timilia” and “Russello” despite their putative origin from a common funder. This work aims to dissect the genetic variation patterns of two large germplasm collections of “Timilia” and “Russello” using SNP genotyping. The analysis of intra- and inter-population genetic variation and the identification of divergent loci between genetic groups showed that (i) there are two “Russello” genetic groups associated with different Sicilian geographical areas, which differ in important traits related to gluten quality and adaptation, and (ii) the individuals of “Timilia”, although presenting wide genetic variation, have undergone a conservative selection, likely associated with their distinctive traits. This work paves the way for a deeper exploration of the wide genetic diversity in Sicilian landraces, which could be conveniently exploited in future breeding programs, and points out that intra-population genetic diversity should be taken into account when ‘conservation varieties’ are to be registered in national registers of crops
Multi objective genetic algorithm to optimize the local heat treatment of a hardenable aluminum alloy
No full textThe continuous research for lightweight components for transport applications to reduce the harmful emissions drives the attention to the light alloys as in the case of Aluminium (Al) alloys, capable to combine low density with high values of the strength-to-weight ratio. Such advantages are partially counterbalanced by the poor formability at room temperature. A viable solution is to adopt a localized heat treatment by laser of the blank before the forming process to obtain a tailored distribution of material properties so that the blank can be formed at room temperature by means of conventional press machines. Such an approach has been extensively investigated for age hardenable alloys, but in the present work the attention is focused on the 5000 series; in particular, the optimization of the deep drawing process of the alloy AA5754 H32 is proposed through a numerical/experimental approach. A preliminary investigation was necessary to correctly tune the laser parameters (focus length, spot dimension) to effectively obtain the annealed state. Optimal process parameters were then obtained coupling a 2D FE model with an optimization platform managed by a multi-objective genetic algorithm. The optimal solution (i.e. able to maximize the LDR) in terms of blankholder force and extent of the annealed region was thus evaluated and validated through experimental trials. A good matching between experimental and numerical results was found. The optimal solution allowed to obtain an LDR of the locally heat treated blank larger than the one of the material either in the wrought condition (H32) either in the annealed condition (H111)
Multi objective genetic algorithm to optimize the local heat treatment of a hardenable aluminum alloy
No full textThe continuous research for lightweight components for transport applications to reduce the harmful emissions drives the attention to the light alloys as in the case of Aluminium (Al) alloys, capable to combine low density with high values of the strength-to-weight ratio. Such advantages are partially counterbalanced by the poor formability at room temperature. A viable solution is to adopt a localized heat treatment by laser of the blank before the forming process to obtain a tailored distribution of material properties so that the blank can be formed at room temperature by means of conventional press machines. Such an approach has been extensively investigated for age hardenable alloys, but in the present work the attention is focused on the 5000 series; in particular, the optimization of the deep drawing process of the alloy AA5754 H32 is proposed through a numerical/experimental approach. A preliminary investigation was necessary to correctly tune the laser parameters (focus length, spot dimension) to effectively obtain the annealed state. Optimal process parameters were then obtained coupling a 2D FE model with an optimization platform managed by a multi-objective genetic algorithm. The optimal solution (i.e. able to maximize the LDR) in terms of blankholder force and extent of the annealed region was thus evaluated and validated through experimental trials. A good matching between experimental and numerical results was found. The optimal solution allowed to obtain an LDR of the locally heat treated blank larger than the one of the material either in the wrought condition (H32) either in the annealed condition (H111)
Evaluation of carbapenem-resistant Enterobacteriaceae in an Italian setting: Report from the trench
No full textTime dependent interaction between 5-fluorouracil and mitomycin C on human colon carcinoma cell line, HCT-8 in vitro
No full textAllergen immunotherapy for birch-apple syndrome: what do we know?
No full textApple allergy is common in patients allergic to birch pollen, and this is defined as 'birch-apple syndrome'. Allergens responsible for cross-reactivity belong to the pathogenesis-related-10 family, and high homology in the amino acid sequences of the major allergens Bet v 1 from birch and Mal d 1 from apple has been demonstrated. Here we review the literature on the treatment of birch-apple syndrome by allergen immunotherapy. The only allergen immunotherapy method available thus far is based on the administration of birch-pollen extracts, through the subcutaneous or sublingual route, to induce tolerance to Bet v1 and to the homologous allergen Mal d 1. However, the studies performed thus far show modest efficacy, and thus other methods of immunotherapy should be investigated
Shared and Searchable Encrypted Data for Untrusted Servers
No full textCurrent security mechanisms pose a risk for organisations that outsource their data management to untrusted servers. Encrypting and decrypting sensitive data at the client side is the normal approach in this situation but has high communication and computation overheads if only a subset of the data is required, for example, selecting records in a database table based on a keyword search. New cryptographic schemes have been proposed that support encrypted queries over encrypted data but all depend on a single set of secret keys, which implies single user access or sharing keys among multiple users, with key revocation requiring costly data re-encryption. In this paper, we propose an encryption scheme where each authorised user in the system has his own keys to encrypt and decrypt data. The scheme supports keyword search which enables the server to return only the encrypted data that satisfies an encrypted query without decrypting it. We provide two constructions of the scheme giving formal proofs of their security. We also report on the results of a prototype implementation.
This research was supported by the UK’s EPSRC research grant EP/C537181/1. The authors would like to thank the members of the Policy Research Group at Imperial College for their support
- …
