Differential viable count of mixed starter cultures of lactic acid bacteria in doughs by using modified Chalmers medium

The modified Chalmers medium appeared as quite suitable for counting a mixed population consisting of different species of lactic acid bacteria used as starter in breadmaking. Selected strains of Lactobacillus plantarum, Leuconostoc mesenteroides subsp. mesenteroides, Lactobacillus sanfranciscensis, Enterococcus faecalis together with Saccharomyces cerevisiae could be easily differentiated and counted with an acceptable recovery in comparison with reference media.     

Herding and snaking by the harem stallion in domestic herds

Four herds of pony mares, each consisting of a stallion and six mares, were used to characterize the nature of herding by the stallion and the factors that induced the herding behavior. Herding behaviors were compared among four successive treatments (six mares alone, stallion added, two new mares added, and entire herd moved to a new pasture). A new treatment was initiated every 7 days and behavior was studied for 5 consecutive days (Days 1-5) for each treatment. Observations were made every 10 min during a 2-h period for each day. The extent of herding was quantitated by the mean distances between mares. The extent of snaking (herding with the head and neck extended and ears held back) was scored 0, 1, 2, or 3 (nil, minimal, intermediate, and maximal, respectively). The mean distance among the original mares on Day 1 when the mares were alone was 5.0 mare lengths and was reduced (P < 0.05) to 1.9 mare lengths when the stallion was added. The mean distance among the original mares of an established stallion/mare herd (3.8 mare lengths) was reduced (P < 0.05) on the day the herd was moved to a new pasture (1.9 mare lengths), similar to the effect of the introduction of the stallion. Scores for the extent of snaking, as well as the extent of herding, were highest (P < 0.05) on Day 1 when the stallion was added or the stallion/mare herd was moved to a new pasture. The extent of herding and snaking decreased (P < 0.05) by Day 2 and was seen only occasionally on Days 3-5. The addition of new mares to the herd did not induce herding of the original mares. However, the new mares maintained mean distances of 8-12 mare lengths from the original mares, resulting primarily from chasing by the stallion. By Day 4, the distances between the new and original mares were not different (P > 0.05) from the distances among the original mares.     

Palaeoecology of Upper Pleistocene-Holocene bryozoan and foraminiferal assemblages from Ku?dili (Kadiköy, Istanbul, Turkey)

Bryozoan and foraminiferal assemblages from a core drilled in the Kusdili (Kadiköy, Istanbul) Upper Pleistocene-Holocene sequence were studied. Assemblages are absent from the very basal and top parts but they are well represented all along the middle part of the sequence. All the species found presently live in the Mediterranean. In the area sedimentation seemingly started about 13?000 years ago in very shallow near-shore environments with the deposition of pebbly sediments rapidly evolving to mud. Near the base, the presence of erosional surface allows to recognize three successive sedimentary cycles. Bryozoan and foraminiferal assemblages found in the middle part of the sequence testify to a shallow water, estuarine or lagoonal paleo-environment, in which effects of low salinity waters, more obvious toward the top, could be related to the reestablishment of a connection between the Marmara Sea and the Black Sea through the Bosphorus, about 7000 years BP.     

The Italian Twin Project: from the personal identification number to a national twin registry.

The unique opportunity given by the "fiscal code", an alphanumeric identification with demographic information on any single person residing in Italy, introduced in 1976 by the Ministry of Finance, allowed a database of all potential Italian twins to be created. This database contains up to now name, surname, date and place of birth and home address of about 1,300,000 "possible twins". Even though we estimated an excess of 40% of pseudo-twins, this still is the world's largest twin population ever collected. The database of possible twins is currently used in population-based studies on multiple sclerosis, Alzheimer's disease, celiac disease, and type 1 diabetes. A system is currently being developed for linking the database with data from mortality and cancer registries. In 2001, the Italian Government, through the Ministry of Health, financed a broad national research program on twin studies, including the establishment of a national twin registry. Among all the possible twins, a sample of 500,000 individuals are going to be contacted and we expect to enrol around 120,000 real twin pairs in a formal Twin Registry. According to available financial resources, a sub sample of the enrolled population will be asked to donate DNA. A biological bank from twins will be then implemented, guaranteeing information on future etiological questions regarding genetic and modifiable factors for physical impairment and disability, cancers, cardiovascular diseases and other age related chronic illnesses.     

Distribution-free ROC analysis using binary regression techniques

Receiver operating characteristic (ROC) regression methodology is used to identify factors that affect the accuracy of medical diagnostic tests. In this paper, we consider a ROC model for which the ROC curve is a parametric function of covariates but distributions of the diagnostic test results are not specified. Covariates can be either common to all subjects or specific to those with disease. We propose a new estimation procedure based on binary indicators defined by the test result for a diseased subject exceeding various specified quantiles of the distribution of test results from non-diseased subjects with the same covariate values. This procedure is conceptually and computationally simplified relative to existing procedures. Simulation study results indicate that the approach has fairly high statistical efficiency. The new ROC regression methodology is used to evaluate childhood measurements of body mass index as a predictive marker of adult obesity.     

A low-resolution 3D model of the tetrameric alcohol dehydrogenase from Sulfolobus solfataricus

We describe the computation of a model of the thermophilic NAD-dependent homotetrameric alcohol dehydrogenase from the archaeon Sulfolobus solfataricus (SsADH). Modeling is based on the knowledge that each monomer contains two Zn ions with catalytic and structural function, respectively. In the database of known structures, proteins with similar functions are either dimers containing two zinc ions per monomer or tetramers with one zinc ion per monomer. In any case, the sequence identity of the target to the possible templates is low. A threading procedure is therefore developed which includes constraints taking into account residue conservation both at the zinc ion binding and at the monomer-monomer interaction sites in the tetrameric unit. The model is consistent with previously reported data. Furthermore, cross-linking experiments are described which support the computed tetrameric model.     

Combining several screening tests: optimality of the risk score

The development of biomarkers for cancer screening is an active area of research. While several biomarkers exist, none is sufficiently sensitive and specific on its own for population screening. It is likely that successful screening programs will require combinations of multiple markers. We consider how to combine multiple disease markers for optimal performance of a screening program. We show that the risk score, defined as the probability of disease given data on multiple markers, is the optimal function in the sense that the receiver operating characteristic (ROC) curve is maximized at every point. Arguments draw on the Neyman-Pearson lemma. This contrasts with the corresponding optimality result of classic decision theory, which is set in a Bayesian framework and is based on minimizing an expected loss function associated with decision errors. Ours is an optimality result defined from a strictly frequentist point of view and does not rely on the notion of associating costs with misclassifications. The implication for data analysis is that binary regression methods can be used to yield appropriate relative weightings of different biomarkers, at least in large samples. We propose some modifications to standard binary regression methods for application to the disease screening problem. A flexible biologically motivated simulation model for cancer biomarkers is presented and we evaluate our methods by application to it. An application to real data concerning two ovarian cancer biomarkers is also presented. Our results are equally relevant to the more general medical diagnostic testing problem, where results of multiple tests or predictors are combined to yield a composite diagnostic test. Moreover, our methods justify the development of clinical prediction scores based on binary regression.