Iteratively maximum likelihood decodable spherical codes and amethod for their construction

The authors propose a class of spherical codes which can be easily decoded by an efficient iterative maximum likelihood decoding algorithm. A necessary and sufficient condition for a spherical code to be iteratively maximum likelihood decodable is formulated. A systematic construction method for such codes based on shrinking of Voronoi corners is analyzed. The base code used for construction is the binary maximal length sequence code. The second-level construction is described. Computer simulation results for selected codes constructed by the proposed method are given     

Role of transcranial magnetic stimulation in the diagnosis of cervical root compression and cervical myelopathy

A 70-kDa protein was specifically induced in Escherichia coli when the culture temperature was shifted from 37 to 15 degrees C. The protein was identified to be the product of the deaD gene (reassigned csdA) encoding a DEAD-box protein. Furthermore, after the shift from 37 to 15 degrees C, CsdA was exclusively localized in the ribosomal fraction and became a major ribosomal-associated protein in cells grown at 15 degrees C. The csdA deletion significantly impaired cell growth and the synthesis of a number of proteins, specifically the derepression of heat-shock proteins, at low temperature. Purified CsdA was found to unwind double-stranded RNA in the absence of ATP. Therefore, the requirement for CsdA in derepression of heat-shock protein synthesis is a cold shock-induced function possibly mediated by destabilization of secondary structures previously identified in the rpoH mRNA.     

Overexpression and mutations of p53 in metastatic malignant melanomas

Heterocypris incongruens (RAMD.) was selected as an intermediate host, having emerged as the main host for Diorchis stefanskii Czapl. in experimental conditions. It was found that the index of infective activity for larvae of D. stefanskii was high on the first day, amounting to 50-54%, with an extensity of infection of 100%. The infective activity of larvae declined slowly but steadily at the low temperature (5 degrees C). Oncospheres retained their infective activity for more than 2.5 months. In contrast, in culture at 18-20 degrees C and 25 degrees C, the infective activity of larvae had declined rapidly only a few days into the experiment. The irrevocable loss of tapeworm infectivity occurred at temperatures of -5 degrees C and +38 degrees C, at which 100% of oncospheres died.     

Renal effects of losartan and amlodipine in hypertensive patients with non-diabetic nephropathy

BACKGROUND: The objective of this study was to examine the effects of angiotensin II receptor blocker losartan versus the calcium channel blocker amlodipine on proteinuria, renal haemodynamics, glomerular sieving and tubular function in hypertensive patients with non-diabetic nephropathy. METHODS: The study design was a prospective, double blind, placebo controlled, randomized crossover trial with amlodipine and losartan. Renal parameters were measured at baseline and at the end of each 4-week active treatment period. Fifteen patients with a diagnosis of non-diabetic renal disease and hypertension were included. RESULTS: Mean arterial blood pressure decreased from 123+/-13 mmHg at baseline to 113+/-10 mmHg (P<0.01) on losartan and to 114+/-10 mmHg on amlodipine (P<0.01). Urinary albumin excretion significantly decreased from 3510+/-2586 mg/24 h at baseline to 2684+/-2051 mg/24 h (P<0.01) on losartan and increased non-significantly to 3748+/-3355 mg/24 h on amlodipine. Filtration fraction significantly decreased from a baseline value of 22.8+/-9.3% to 21.2+/-10.2% (P<0.05) on losartan and increased to 23.6+/-8.9% (ns) on amlodipine. Either drug did not significantly alter glomerular sieving of neutral dextrans. CONCLUSION: Our results demonstrate that losartan, but not amlodipine, decreased albumin excretion in hypertensive patients with non-diabetic nephropathy.     

Le froid et la sénescence des organes végétaux après récolte: quelques aspects théoriques et pratiques

Harvested plant products, flowers and fruits particularly, are mostly senescent in nature. To obtain and maintain good quality and to reduce losses as much as possible, one must possess a clear knowledge of the fundamental mechanisms which govern plant senescence. Following this, more practical work has to be done to find the most suitable storage conditions. Low temperature remains the essential factor.     

Endothelium-dependent and endothelium-independent flow regulation in coronary vascular regions supplied by arterial and venous bypass grafts

The chelator mercaptoacetylglycylglycylglycine (MAG3) is on of several amidothiols that have been used successfully to radiolabeled proteins and other molecules with 99mTc. Prior to radiolabeling, the sulfur in these amidothiols is usually protected by a benzoyl group (i.e. S-benzoyl MAG3) which requires extreme alkaline pH or boiling water temperatures for rapid deprotection. As a result, the benzoyl-protected chelator is radiolabeled prior to conjugation (i.e. preconjugation labeling) in the case of carriers such as proteins or polypeptides which cannot withstand harsh conditions. We have employed a simple, two-step, synthesis of the N-hydroxysuccinimide ester of MAG3 in which the sulfur is protected with an acetyl group (i.e. S-acetyl NHS-MAG3). A single-stranded amine-derivitized DNA was coupled with NHS-S-acetyl MAG3. Radiolabeling was accomplished at room temperature and neutral pH by transchelation from 99mTc-tartrate. In comparison to labeled SHNH-DNA, the labeled MAG3-DNA was unstable to cysteine transchelation, however, in contrast to SHNH-DNA, no evidence for serum protein binding of the labeled MAG3-DNA was observed. We conclude that the S-acetyl NHS MAG3 bifunctional chelator may prove to be an attractive alternative method of radiolabeling DNA and other biologically important molecules with 99mTc.     

On case-based learnability of languages

Case-based reasoning is deemed an important technology to alleviate the bottleneck of knowledge acquisition in Artificial Intelligence (AI). In case-based reasoning, knowledge is represented in the form of particular cases with an appropriate similarity measure rather than any form of rules. The case-based reasoning paradigm adopts the view that an Al system is dynamically changing during its life-cycle which immediately leads to learning considerations. Within the present paper, we investigate the problem of case-based learning of indexable classes of formal languages. Prior to learning considerations, we study the problem of case-based representability and show that every indexable class is case-based representable with respect to a fixed similarity measure. Next, we investigate several models of case-based learning and systematically analyze their strengths as well as their limitations. Finally, the general approach to case-based learnability of indexable classes of formal languages is prototypically applied to so-called containmet decision lists, since they seem particularly tailored to case-based knowledge processing.