Block Liposome and Nanotube Formation is a General Phenomenon of Two-Component Membranes Containing Multivalent Lipids

We report a study on the formation of block liposomes (BLs) and nanotubes from membranes comprised of mixtures of membrane curvature-stabilizing multivalent cationic lipids MVL3(3+) and MVL5(5+) with neutral 1,2-dioleoyl-sn-glycero-3-phosphatidylcholine (DOPC). In conjunction with prior work on MVLBG2(16+), our experiments suggest that BL and nanotube formation is a general phenomenon in membranes containing multivalent lipids, thus enhancing the relevance of BLs for applications such as gene/drug storage and delivery or templating.     

Metrifonate benefits cognitive, behavioral, and global function in patients with Alzheimer's disease

OBJECTIVE: To evaluate the efficacy and safety of metrifonate, an acetylcholinesterase inhibitor, in patients clinically diagnosed with probable Alzheimer's disease (AD) of mild to moderate severity. METHODS: A prospective, 36-week, multicenter, double-blind, randomized, parallel group study of metrifonate in probable AD patients, including a 2-week screening period, a 26-week double-blind treatment period, and a follow-up visit at 8 weeks post-treatment. A total of 24 ambulatory clinics in the United States in a variety of settings, including contract research organizations, public health facilities, and universities. Patients met diagnostic criteria for probable AD as defined by the work group of the National Institute for Neurological and Communicative Diseases and Stroke and the Alzheimer's Disease and Related Disorders Association. Patients had Mini-Mental State Examination (MMSE) scores of 10 to 26 and Ischemic Scores (Rosen Modification) of <4. A total of 408 patients were enrolled. Percentages of patients completing double-blind treatment were 88% and 79% in the placebo and metrifonate groups, respectively. Rates of discontinuation due to adverse events were 4% in the placebo group and 12% in the metrifonate group. Placebo or metrifonate was administered once daily. Metrifonate-treated patients received a loading dose of 100 to 180 mg based on weight (2.0 mg/kg) for 2 weeks, followed by a maintenance dose of 30 to 60 mg based on weight (0.65 mg/kg) for 24 weeks. Primary efficacy variables were the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) and the Clinician's Interview-Based Impression of Change with Caregiver Input (CIBIC-plus). Secondary efficacy variables included the Neuropsychiatric Inventory (NPI), the Disability Assessment in Dementia, the Global Deterioration Scale (GDS), the ADAS-Noncognitive subscale (ADAS-Noncog), the MMSE, and the Clinician's Interview-Based Impression of Severity with Caregiver Input (CIBIS-plus). Outcome measures reflected changes from baseline at week 26 for all variables. Safety was assessed with incidences of premature termination, treatment-emergent events and mortality, and routine safety evaluations. RESULTS: After 26 weeks of metrifonate therapy, a 2.86-point treatment difference (p = 0.0001) was observed in the ADAS-Cog scores of the intent-to-treat AD patients. The treatment difference in the mean CIBIC-plus score at this time was 0.28 points (p = 0.0071). At week 26, treatment differences also were observed in the mean NPI total score (p = 0.0161). Analysis of the remaining secondary efficacy variables showed treatment differences that favored metrifonate but did not reach statistical significance. Metrifonate adverse events were predominantly mild in intensity. No hepatotoxicity was observed. CONCLUSIONS: Metrifonate was safe and well-tolerated. It enhanced not only the cognitive and global function, but also the behavioral function of patients diagnosed with mild to moderate AD. Therefore, metrifonate appears to be useful in the symptomatic treatment of AD.     

坦桑尼亚进口玩具实行出口国认证

从今年2月1日起,坦桑尼亚对进口的包括玩具在内的管制类产品执行出口前符合性认证,欲向该国出口产品的企业对此应有充分了解并采取应对措施。     

Using GIS, Genetic Algorithms, and Visualization in Highway Development

A model for highway development is presented, which uses geographic information systems (GIS), genetic algorithms (GA), and computer visualization (CV). GIS serves as a repository of geographic information and enables spatial manipulations and database management. GAs are used to optimize highway alignments in a complex search space. CV is a technique used to convey the characteristics of alternative solutions, which can be the basis of decisions. The proposed model implements GIS and GA to find an optimized alignment based on the minimization of highway costs. CV is implemented to investigate the effects of intangible parameters, such as unusual land and environmental characteristics not considered in optimization. Constrained optimization using GAs may be performed at subsequent stages if necessary using feedback received from CVs. Implementation of the model in a real highway project from Maryland indicates that integration of GIS, GAs, and CV greatly enhances the highway development process.     

High dwelling vacancy rate and high prices of housing in Malta a mediterranean phenomenon

Current data from South European countries, especially Malta, indicates the existence of some contradictory forces in the housing market that defy the law of supply and demand and require explanation. In a ‘normal’ housing market, it can be expected that a high dwelling vacancy rate would help keep down the price of housing. In Malta, however, both the vacancy rate and housing prices have been rising in tandem for decades, unabated, even under the recent international market crunch. The government housing policy, which has always stimulated homeownership, is still encouraging new house building. Despite the high number (over 50,000) of vacant dwellings, the authorities issue more than 6,000 building permits annually to the private sector. In this paper we outline and explain the major factors contributing to this unlikely combination. Doing so, we use a welfare-state perspective. We identify and explain the underlying factors that are collectively responsible for such a paradox: the state; the family; the powerful Catholic Church; the underdeveloped Maltese financial market; and the paternalistic culture prevalent in Malta.     

Effect of Carbon Nanotube (CNT) Length on the Mechanical Milling of Ni-CNT Powders and Ni-CNT/Al Reactive Synthesis

Metallurgical and Materials Transactions A - The present paper investigates the effect of carbon nanotube (CNT) length (including the use of short multi-wall CNTs) and milling parameters on the...     

Reversible operation of La0·8Sr0·2MnO3 oxygen electrode infiltrated with Ruddlesden-Popper and perovskite lanthanum nickel cobaltite

The electrochemical performance and stability of La_0·8Sr_0·2MnO₃ oxygen electrodes infiltrated with La₂Ni_0·5Co_0·5O₄ (Ruddlesden-Popper) and LaNi_0·5Co_0·5O₃ (perovskite) nano-particles were studied under cyclic solid oxide electrolysis cell and solid oxide fuel cell modes. Electrochemical impedance spectroscopy and analysis of distribution of relaxation times were utilized to investigate the effect of addition of catalysts with Ruddlesden-Popper and perovskite structures on the reversible operation of electrochemical cells. Results indicated that addition of La₂Ni_0·5Co_0·5O₄ nanoparticles has more impact on polarization resistance reduction as compared to LaNi_0·5Co_0·5O₃ in cyclic operation, probably due to the facile oxygen transport in the rock salt layer of Ruddlesden-Popper structure. Analysis of the polarization resistance fluctuations shows a better stability in Ruddlesden-Popper structure-infiltrated electrodes as compared to perovskite structure. The difference between maximum and minimum of polarization resistances (i.e. fluctuations) in cyclic operation is reduced significantly by introducing Ruddlesden-Popper-structured lanthanum nickel cobaltite nanoparticles.     

Location privacy: going beyond K-anonymity,cloaking and anonymizers

With many location-based services, it is implicitly assumed that the location server receives actual users locations to respond to their spatial queries. Consequently, information customized to their locations, such as nearest points of interest can be provided. However, there is a major privacy concern over sharing such sensitive information with potentially malicious servers, jeopardizing users’ private information. The anonymity- and cloaking-based approaches proposed to address this problem cannot provide stringent privacy guarantees without incurring costly computation and communication overhead. Furthermore, they require a trusted intermediate anonymizer to protect user locations during query processing. This paper proposes a fundamental approach based on private information retrieval to process range and K-nearest neighbor queries, the prevalent queries used in many location-based services, with stronger privacy guarantees compared to those of the cloaking and anonymity approaches. We performed extensive experiments on both real-world and synthetic datasets to confirm the effectiveness of our approaches.