Development of the Crohn's disease digestive damage score, the Lémann score.

Crohn's disease (CD) is a chronic progressive destructive disease. Currently available instruments measure disease activity at a specific point in time. An instrument to measure cumulative structural damage to the bowel, which may predict long-term disability, is needed. The aim of this article is to outline the methods to develop an instrument that can measure cumulative bowel damage. The project is being conducted by the International Program to develop New Indexes in Crohn's disease (IPNIC) group. This instrument, called the Crohn's Disease Digestive Damage Score (the Lémann score), should take into account damage location, severity, extent, progression, and reversibility, as measured by diagnostic imaging modalities and the history of surgical resection. It should not be "diagnostic modality driven": for each lesion and location, a modality appropriate for the anatomic site (for example: computed tomography or magnetic resonance imaging enterography, and colonoscopy) will be used. A total of 24 centers from 15 countries will be involved in a cross-sectional study, which will include up to 240 patients with stratification according to disease location and duration. At least 120 additional patients will be included in the study to validate the score. The Lémann score is expected to be able to portray a patient's disease course on a double-axis graph, with time as the x-axis, bowel damage severity as the y-axis, and the slope of the line connecting data points as a measure of disease progression. This instrument could be used to assess the effect of various medical therapies on the progression of bowel damage. (Inflamm Bowel Dis 2011).

Automated analysis of background EEG and reactivity during therapeutic hypothermia in comatose patients after cardiac arrest.

Visual analysis of electroencephalography (EEG) background and reactivity during therapeutic hypothermia provides important outcome information, but is time-consuming and not always consistent between reviewers. Automated EEG analysis may help quantify the brain damage. Forty-six comatose patients in therapeutic hypothermia, after cardiac arrest, were included in the study. EEG background was quantified with burst-suppression ratio (BSR) and approximate entropy, both used to monitor anesthesia. Reactivity was detected through change in the power spectrum of signal before and after stimulation. Automatic results obtained almost perfect agreement (discontinuity) to substantial agreement (background reactivity) with a visual score from EEG-certified neurologists. Burst-suppression ratio was more suited to distinguish continuous EEG background from burst-suppression than approximate entropy in this specific population. Automatic EEG background and reactivity measures were significantly related to good and poor outcome. We conclude that quantitative EEG measurements can provide promising information regarding current state of the patient and clinical outcome, but further work is needed before routine application in a clinical setting.

Why human islets die? analysis of death signaling pathways during isolation and following cytokine treatments

RESUME Le diabète de type 1 se définit comme un désordre métabolique d'origine auto-immune qui aboutit à la destruction progressive et sélective de la cellule ß-pancréatique sécrétrice d'insuline. Cette maladie représente 10 % des cas de diabète enregistrés dans la population mondiale, et touche les jeunes de moins de 20 ans. Le traitement médical par insulinothérapie corrige le manque d'hormone mais ne prévient pas les nombreuses complications telles que les atteintes cardiaques, neurologiques, rénales, rétiniennes, et les amputations que la maladie provoque. Le remplacement de la cellule ß par transplantation d'îlots de Langerhans est une alternative prometteuse au traitement médical du diabète de type 1. Cependant la greffe d'îlots est encore un traitement expérimental et ne permet pas un contrôle efficace de la glycémie au long terme chez les patients transplantés, et les raisons de cet échec restent mal comprises. L'obstacle immédiat qui se pose est la purification d'un nombre suffisant d'îlots viables et la perte massive de ces îlots dans les premières heures suite à la greffe. Cette tendance presque systématique de la perte fonctionnelle du greffon immédiatement après la transplantation est connue sous le terme de « primary graft non-function » (PNF). En effet, la procédure d'isolement des îlots provoque la destruction des composantes cellulaires et non cellulaires du tissu pancréatique qui jouent un rôle déterminant dans le processus de survie de l'îlot. De plus, la transplantation elle-même expose les cellules à différents stress, notamment le stress par les cytokines inflammatoires qui encourage la mort cellulaire par apoptose et provoque par la suite le rejet de la greffe. L'ensemble de ces mécanismes aboutit a une perte de la masse d'îlot estimée a plus de 60%. Dans ce contexte, nous nous sommes intéressés à définir les voies majeures de stress qui régissent cette perte massive d'îlot par apoptose lors du processus d'isolement et suite à l'exposition immédiate aux cytokines. L'ensemble des résultats obtenus indique que plusieurs voies de signalisation intracellulaire sont recrutées qui s'activent de manière maximale très tôt lors des premières phases de l'isolement. La mise en culture des îlots deux jours permet aux voies activées de revenir aux taux de base. De ce fait nous proposons une stratégie dite de protection qui doit être 1) initiée aussitôt que possible lors de l'isolement des îlots pancréatiques, 2) devrait probablement bloquer l'activation de ces différentes voies de stress mis en évidence lors de notre étude et 3) devrait inclure la mise en culture des îlots purifiés deux jours après l'isolement et avant la transplantation. RESUME LARGE PUBLIC Le diabète est une maladie qui entraîne un taux anormalement élevé de sucre (glucose) dans le sang du à une insuffisance du pancréas endocrine à produire de l'insuline, une hormone qui régule la glycémie (taux de glucose dans le sang). On distingue deux types majeurs de diabètes; le diabète de type 1 ou juvénile ou encore appelé diabète maigre qui se manifeste souvent pendant l'enfance et qui se traduit par une déficience absolue en insuline. Le diabète de type 2 ou diabète gras est le plus fréquent, et touche les sujets de plus de 40 ans qui souffrent d'obésité et qui se traduit par une dysfonction de la cellule ß avec une incapacité à réguler la glycémie malgré la production d'insuline. Dans le diabète de type 1, la destruction de la cellule ß est programmée (apoptose) et est majoritairement provoquée par des médiateurs inflammatoires appelés cytokines qui sont produites localement par des cellules inflammatoires du système immunitaire qui envahissent la cellule ß-pancréatiques. Les cytokines activent différentes voies de signalisation parmi lesquelles on distingue celles des Mitogen-Activated Protein Kinase (MAPKs) composées de trois familles de MAPKs: ERK1/2, p38, et JNK, et la voie NF-κB. Le traitement médical par injections quotidiennes d'insuline permet de contrôler la glycémie mais ne prévient pas les nombreuses complications secondaires liées à cette maladie. La greffe d'îlots de Langerhans est une alternative possible au traitement médical, considérée avantageuse comparée a la greffe du pancréas entier. En effet l'embolisation d'îlots dans le foie par injection intraportale constitue une intervention simple sans complications majeures. Néanmoins la technique de préparation d'îlots altère la fonction endocrine et cause la perte massive d'îlots pancréatiques. De plus, la transplantation elle-même expose la cellule ß à différents stress, notamment le stress par les cytokines inflammatoires qui provoque le rejet de greffon cellulaire. Dans la perspective d'augmenter les rendements des îlots purifiés, nous nous sommes intéressés à définir les voies majeures de stress qui régissent cette perte massive d'îlot lors du processus d'isolement et suite à l'exposition immédiate aux cytokines après transplantation. L'ensemble de ces résultats indique que le stress induit lors de l'isolement des îlots et celui des cytokines recrute différentes voies de signalisation intracellulaire (JNK, p38 et NF-κB) qui s'additionnent entre-elles pour altérer la fonction et la viabilité de l'îlot. De ce fait une stratégie doit être mise en place pour bloquer toute action synergique entre ces différentes voies activées pour améliorer la viabilité et la fonction de la cellule ß lors du greffon cellulaire. SUMMARY Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by the progressive and selective destruction of the pancreatic ß-cells that secrete insulin, leading to absolute insulin deficiency. T1DM accounts for about 10% of all diabetes cases, affecting persons younger than 20 years of age. Medical treatment using daily exogenous insulin injection corrects hormone deficiency but does not prevent devastating complications such as heart attack, neuropathy, kidney failure, blindness, and amputation caused by the disease. Pancreatic islet transplantation (PIT) is one strategy that holds promise to cure patients with T1DM, but purified pancreatic islet grafts have failed to maintain long-term glucose homeostasis in human recipients, the reasons for this failure being still poorly understood. There is however a more immediate problem with islet grafting that is dependent upon poor islet recovery from donors and early islet loss following the first hours of grafting. This tendency of islet grafts to fail to function within a short period after transplantation is termed primary graft non-function (PNF). Indeed, the islet isolation procedure itself destroys cellular and non-cellular components of the pancreas that may play a role in supporting islet survival. Further, islet transplantation exposes cells to a variety of stressful stimuli, notably pro-inflammatory cytokines that encourage ß-cell death by apoptosis and lead to early graft failure. Altogether these mechanisms lead to an estimated loss of 60% of the total islet mass. Here, we have mapped the major intracellular stress signaling pathways that may mediate human islet loss by apoptosis during isolation and following cytokine attack. We found that several stress pathways are maximally activated from the earliest stages of the isolation procedure. Culturing islet for two days allow for the activated pathways to return to basal levels. We propose that protective strategies should 1) be initiated as early as possible during isolation of the islets, 2) should probably target the activated stress pathways that we uncovered during our studies and 3) should include culturing islets for two days post-isolation and prior transplantation.

Defective TNF-alpha-mediated hepatocellular apoptosis and liver damage in acidic sphingomyelinase knockout mice

This study addressed the contribution of acidic sphingomyelinase (ASMase) in TNF-alpha-mediated hepatocellular apoptosis. Cultured hepatocytes depleted of mitochondrial glutathione (mGSH) became sensitive to TNF-alpha, undergoing a time-dependent apoptotic cell death preceded by mitochondrial membrane depolarization, cytochrome c release, and caspase activation. Cyclosporin A treatment rescued mGSH-depleted hepatocytes from TNF-alpha-induced cell death. In contrast, mGSH-depleted hepatocytes deficient in ASMase were resistant to TNF-alpha-mediated cell death but sensitive to exogenous ASMase. Furthermore, although in vivo administration of TNF-alpha or LPS to galactosamine-pretreated ASMase(+/+) mice caused liver damage, ASMase(-/-) mice exhibited minimal hepatocellular injury. To analyze the requirement of ASMase, we assessed the effect of glucosylceramide synthetase inhibition on TNF-alpha-mediated apoptosis. This approach, which blunted glycosphingolipid generation by TNF-alpha, protected mGSH-depleted ASMase(+/+) hepatocytes from TNF-alpha despite enhancement of TNF-alpha-stimulated ceramide formation. To further test the involvement of glycosphingolipids, we focused on ganglioside GD3 (GD3) because of its emerging role in apoptosis through interaction with mitochondria. Analysis of the cellular redistribution of GD3 by laser scanning confocal microscopy revealed the targeting of GD3 to mitochondria in ASMase(+/+) but not in ASMase(-/-) hepatocytes. However, treatment of ASMase(-/-) hepatocytes with exogenous ASMase induced the colocalization of GD3 and mitochondria. Thus, ASMase contributes to TNF-alpha-induced hepatocellular apoptosis by promoting the mitochondrial targeting of glycosphingolipids.

Cetuximab In Combination With Docetaxel In Patients (Pts) With Metastatic Castration Resistant (Mcrpc) And Docetaxel-Refractory Prostate Cancer: Final Analysis Of The Multicenter Phase Ii Trial Sakk 08/07

There is no registered treatment (ttr) for pts with mCRPC who have progressive disease during or shortly after docetaxel (doc). EGFR overexpression increases in prostate cancer during the course of the disease. We investigated efficacy and safety of the combination of the monoclonal EGFR antibody cetuximab (cet) and doc in pts with mCRPC who are doc-refractory. Methods: Pts with mCRPC progressing during or < 90 days after at least 12 weeks of doc were included. Ttr consisted of the same doc regimen as prior to progression (35mg/m2 d1,8,15 q4w or 75mg/m2 q3w) in combination with cet (400mg/m2 d1, then 250mg/m2 weekly). Primary endpoint was progression free survival (PFS) at 12 weeks defined as absence of PSA progression or progression of metastases (mets). Secondary endpoints included toxicity, PFS at 24 weeks, PSA response, response of measureable disease and overall survival. 35 pts were needed in a Simon's two stage optimal design with a power of 90% and a significance level of 5% in order to test PFS rate at 12 weeks of £10% vs ?30%. Results: 35 evaluable pts were enrolled at 15 Swiss centers between 7/08 and 9/09. Median follow up was 14.8 months. Confirmed PFS at 12 weeks was 34% (95%CI 19-52%), PFS at 24 weeks was 20% and overall survival was 12.0 months (95%CI 7.1 -15.6). 20% (7/35) had a confirmed decline in PSA ? 50% and 31% (11/35) had a confirmed PSA decline ? 30%. Of pts with measurable disease (n=24) PR, SD and PD at week 12 was 4%, 54% and 25%, respectively (17% not evaluable). 3/9 (33%) pts with PDduring last doc ttr before inclusion reached the primary endpoint compared to 7/18 (39%) with PR or SD to last doc. 54% of evaluable pts experienced grade 3 and 6% grade 4 toxicity. Discussion: The result of the primary endpoint was promising in this first trial to test cet in combination with doc in pts with docetaxel-refractory mCRPC. Because this goal was achieved in such a highly pretreated pts population it appears that inhibition of the EGFR pathway may play a more important and persistent role in the treatment of prostate cancer than perceived so far. Further research is therefore warranted. Disclosure: R. Cathomas: - Membership on advisory board for sanofi aventis (suisse) and Merck. S. Gillessen: - Membership in advisory board for Sanofi Aventis. All other authors have declared no conflicts of interest.

Mismatch of arterial and central venous blood gas analysis during haemorrhage.

BACKGROUND AND OBJECTIVE: Arterial base excess and lactate levels are key parameters in the assessment of critically ill patients. The use of venous blood gas analysis may be of clinical interest when no arterial blood is available initially. METHODS: Twenty-four pigs underwent progressive normovolaemic haemodilution and subsequent progressive haemorrhage until the death of the animal. Base excess and lactate levels were determined from arterial and central venous blood after each step. In addition, base excess was calculated by the Van Slyke equation modified by Zander (BE(z)). Continuous variables were summarized as mean +/- SD and represent all measurements (n = 195). RESULTS: Base excess according to National Committee for Clinical Laboratory Standards for arterial blood was 2.27 +/- 4.12 versus 2.48 +/- 4.33 mmol(-l) for central venous blood (P = 0.099) with a strong correlation (r(2) = 0.960, P < 0.001). Standard deviation of the differences between these parameters (SD-DIFBE) did not increase (P = 0.355) during haemorrhage as compared with haemodilution. Arterial lactate was 2.66 +/- 3.23 versus 2.71 +/- 2.80 mmol(-l) in central venous blood (P = 0.330) with a strong correlation (r(2) = 0.983, P < 0.001). SD-DIFLAC increased (P < 0.001) during haemorrhage. BE(z) for central venous blood was 2.22 +/- 4.62 mmol(-l) (P = 0.006 versus arterial base excess according to National Committee for Clinical Laboratory Standards) with strong correlation (r(2) = 0.942, P < 0.001). SD-DIFBE(z)/base excess increased (P < 0.024) during haemorrhage. CONCLUSION: Central venous blood gas analysis is a good predictor for base excess and lactate in arterial blood in steady-state conditions. However, the variation between arterial and central venous lactate increases during haemorrhage. The modification of the Van Slyke equation by Zander did not improve the agreement between central venous and arterial base excess.

Comparative genomic analysis of the odorant-binding protein family in 12 Drosophila genomes: purifying selection and birth-and-death evolution

Background: Chemoreception is a widespread mechanism that is involved in critical biologic processes, including individual and social behavior. The insect peripheral olfactory system comprises three major multigene families: the olfactory receptor (Or), the gustatory receptor (Gr), and the odorant-binding protein (OBP) families. Members of the latter family establish the first contact with the odorants, and thus constitute the first step in the chemosensory transduction pathway.Results: Comparative analysis of the OBP family in 12 Drosophila genomes allowed the identification of 595 genes that encode putative functional and nonfunctional members in extant species, with 43 gene gains and 28 gene losses (15 deletions and 13 pseudogenization events). The evolution of this family shows tandem gene duplication events, progressive divergence in DNA and amino acid sequence, and prevalence of pseudogenization events in external branches of the phylogenetic tree. We observed that the OBP arrangement in clusters is maintained across the Drosophila species and that purifying selection governs the evolution of the family; nevertheless, OBP genes differ in their functional constraints levels. Finally, we detect that the OBP repertoire evolves more rapidly in the specialist lineages of the Drosophila melanogaster group (D. sechellia and D. erecta) than in their closest generalists.Conclusion: Overall, the evolution of the OBP multigene family is consistent with the birth-and-death model. We also found that members of this family exhibit different functional constraints, which is indicative of some functional divergence, and that they might be involved in some of the specialization processes that occurred through the diversification of the Drosophila genus.

Meta-analysis of heat- and chemically upregulated chaperone genes in plant and human cells.

Molecular chaperones are central to cellular protein homeostasis. In mammals, protein misfolding diseases and aging cause inflammation and progressive tissue loss, in correlation with the accumulation of toxic protein aggregates and the defective expression of chaperone genes. Bacteria and non-diseased, non-aged eukaryotic cells effectively respond to heat shock by inducing the accumulation of heat-shock proteins (HSPs), many of which molecular chaperones involved in protein homeostasis, in reducing stress damages and promoting cellular recovery and thermotolerance. We performed a meta-analysis of published microarray data and compared expression profiles of HSP genes from mammalian and plant cells in response to heat or isothermal treatments with drugs. The differences and overlaps between HSP and chaperone genes were analyzed, and expression patterns were clustered and organized in a network. HSPs and chaperones only partly overlapped. Heat-shock induced a subset of chaperones primarily targeted to the cytoplasm and organelles but not to the endoplasmic reticulum, which organized into a network with a central core of Hsp90s, Hsp70s, and sHSPs. Heat was best mimicked by isothermal treatments with Hsp90 inhibitors, whereas less toxic drugs, some of which non-steroidal anti-inflammatory drugs, weakly expressed different subsets of Hsp chaperones. This type of analysis may uncover new HSP-inducing drugs to improve protein homeostasis in misfolding and aging diseases.

Integrative molecular bioinformatics study of human adrenocortical tumors : microRNA, tissue-specific target prediction, and pathway analysis.

MicroRNAs (miRs) are involved in the pathogenesis of several neoplasms; however, there are no data on their expression patterns and possible roles in adrenocortical tumors. Our objective was to study adrenocortical tumors by an integrative bioinformatics analysis involving miR and transcriptomics profiling, pathway analysis, and a novel, tissue-specific miR target prediction approach. Thirty-six tissue samples including normal adrenocortical tissues, benign adenomas, and adrenocortical carcinomas (ACC) were studied by simultaneous miR and mRNA profiling. A novel data-processing software was used to identify all predicted miR-mRNA interactions retrieved from PicTar, TargetScan, and miRBase. Tissue-specific target prediction was achieved by filtering out mRNAs with undetectable expression and searching for mRNA targets with inverse expression alterations as their regulatory miRs. Target sets and significant microarray data were subjected to Ingenuity Pathway Analysis. Six miRs with significantly different expression were found. miR-184 and miR-503 showed significantly higher, whereas miR-511 and miR-214 showed significantly lower expression in ACCs than in other groups. Expression of miR-210 was significantly lower in cortisol-secreting adenomas than in ACCs. By calculating the difference between dCT(miR-511) and dCT(miR-503) (delta cycle threshold), ACCs could be distinguished from benign adenomas with high sensitivity and specificity. Pathway analysis revealed the possible involvement of G2/M checkpoint damage in ACC pathogenesis. To our knowledge, this is the first report describing miR expression patterns and pathway analysis in sporadic adrenocortical tumors. miR biomarkers may be helpful for the diagnosis of adrenocortical malignancy. This tissue-specific target prediction approach may be used in other tumors too.

Concrete Pavement Mixture Design and Analysis (MDA): Assessment of Air Void System Requirements for Durable Concrete, TPF-5(205), 2012

Concrete will suffer frost damage when saturated and subjected to freezing temperatures. Frost-durable concrete can be produced if a specialized surfactant, also known as an air-entraining admixture (AEA), is added during mixing to stabilize microscopic air voids. Small and well-dispersed air voids are critical to produce frost-resistant concrete. Work completed by Klieger in 1952 found the minimum volume of air required to consistently ensure frost durability in a concrete mixture subjected to rapid freezing and thawing cycles. He suggested that frost durability was provided if 18 percent air was created in the paste. This is the basis of current practice despite the tests being conducted on materials that are no longer available using tests that are different from those in use today. Based on the data presented, it was found that a minimum air content of 3.5 percent in the concrete and 11.0 percent in the paste should yield concrete durable in the ASTM C 666 with modern AEAs and low or no lignosulfonate water reducers (WRs). Limited data suggests that mixtures with a higher dosage of lignosulfonate will need about 1 percent more air in the concrete or 3 percent more air in the paste for the materials and procedures used. A spacing factor of 0.008 in. was still found to be necessary to provide frost durability for the mixtures investigated.

Integration of Bridge Damage Detection Concepts and Components (3 volumes), TR-636, 2013

This work is divided into three volumes: Volume I: Strain-Based Damage Detection; Volume II: Acceleration-Based Damage Detection; Volume III: Wireless Bridge Monitoring Hardware. Volume I: In this work, a previously-developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The statistical damage-detection tool, control-chart-based damage-detection methodologies, were further investigated and advanced. For the validation of the damage-detection approaches, strain data were obtained from a sacrificial specimen attached to the previously-utilized US 30 Bridge over the South Skunk River (in Ames, Iowa), which had simulated damage,. To provide for an enhanced ability to detect changes in the behavior of the structural system, various control chart rules were evaluated. False indications and true indications were studied to compare the damage detection ability in regard to each methodology and each control chart rule. An autonomous software program called Bridge Engineering Center Assessment Software (BECAS) was developed to control all aspects of the damage detection processes. BECAS requires no user intervention after initial configuration and training. Volume II: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The objective of this part of the project was to validate/integrate a vibration-based damage-detection algorithm with the strain-based methodology formulated by the Iowa State University Bridge Engineering Center. This report volume (Volume II) presents the use of vibration-based damage-detection approaches as local methods to quantify damage at critical areas in structures. Acceleration data were collected and analyzed to evaluate the relationships between sensors and with changes in environmental conditions. A sacrificial specimen was investigated to verify the damage-detection capabilities and this volume presents a transmissibility concept and damage-detection algorithm that show potential to sense local changes in the dynamic stiffness between points across a joint of a real structure. The validation and integration of the vibration-based and strain-based damage-detection methodologies will add significant value to Iowa’s current and future bridge maintenance, planning, and management Volume III: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. This report volume (Volume III) summarizes the energy harvesting techniques and prototype development for a bridge monitoring system that uses wireless sensors. The wireless sensor nodes are used to collect strain measurements at critical locations on a bridge. The bridge monitoring hardware system consists of a base station and multiple self-powered wireless sensor nodes. The base station is responsible for the synchronization of data sampling on all nodes and data aggregation. Each wireless sensor node include a sensing element, a processing and wireless communication module, and an energy harvesting module. The hardware prototype for a wireless bridge monitoring system was developed and tested on the US 30 Bridge over the South Skunk River in Ames, Iowa. The functions and performance of the developed system, including strain data, energy harvesting capacity, and wireless transmission quality, were studied and are covered in this volume.

Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data.

Although cross-sectional diffusion tensor imaging (DTI) studies revealed significant white matter changes in mild cognitive impairment (MCI), the utility of this technique in predicting further cognitive decline is debated. Thirty-five healthy controls (HC) and 67 MCI subjects with DTI baseline data were neuropsychologically assessed at one year. Among them, there were 40 stable (sMCI; 9 single domain amnestic, 7 single domain frontal, 24 multiple domain) and 27 were progressive (pMCI; 7 single domain amnestic, 4 single domain frontal, 16 multiple domain). Fractional anisotropy (FA) and longitudinal, radial, and mean diffusivity were measured using Tract-Based Spatial Statistics. Statistics included group comparisons and individual classification of MCI cases using support vector machines (SVM). FA was significantly higher in HC compared to MCI in a distributed network including the ventral part of the corpus callosum, right temporal and frontal pathways. There were no significant group-level differences between sMCI versus pMCI or between MCI subtypes after correction for multiple comparisons. However, SVM analysis allowed for an individual classification with accuracies up to 91.4% (HC versus MCI) and 98.4% (sMCI versus pMCI). When considering the MCI subgroups separately, the minimum SVM classification accuracy for stable versus progressive cognitive decline was 97.5% in the multiple domain MCI group. SVM analysis of DTI data provided highly accurate individual classification of stable versus progressive MCI regardless of MCI subtype, indicating that this method may become an easily applicable tool for early individual detection of MCI subjects evolving to dementia.

Evaluation of Carbonate Aggregate Using X-Ray Analysis, HR-266, 1989

Iowa has more than 13,000 miles of portland cement concrete (PCC) pavement. Some pavements have performed well for over 50 years, while others have been removed or overlaid due to the premature deterioration of joints and cracks. Some of the premature deterioration is classical D-cracking, which is attributed to a critically saturated aggregate pore system (freeze-thaw damage). However, some of the premature deterioration is related to adverse chemical reactivity involving carbonate coarse aggregate. The objective of this paper is to demonstrate the value of a chemical analysis of carbonate aggregate using X-ray equipment to identify good or poor quality. At least 1.5% dolomite is necessary in a carbonate aggregate to produce a discernible dolomite peak. The shift of the maximum-intensity X-ray diffraction dolomite d-spacing can be used to predict poor performance of a carbonate aggregate in PCC. A limestone aggregate with a low percentage of strontium (less than 0.013) and phosphorus (less than 0.010) would be expected to give good performance in PCC pavement. Poor performance in PCC pavement is expected from limestone aggregates with higher percentages (above 0.05) of strontium.

Mechanical damage in cotton buds caused by the boll weevil

The boll weevil (Anthonomus grandis Boheman) causes high levels of bud abscission in cotton plants due to feeding or oviposition punctures. It has been reported that abscission is mainly due to enzymes present in the insect's saliva, but mechanical damage could also contribute to square abscission. The objective of this paper was to undertake an analysis of the morphological damages caused by the insect in cotton squares using microscopy. Anthers and ovules are the main target of boll weevil feeding. The process initiates by perforation of young sepal and petal tissues and proceeds with subsequent alimentation on stamen and ovary leading to abscission of floral structures.

On Automatic Diagnosis of Alzheimer's Disease based on Spontaneous Speech Analysis and Emotional Temperature

Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a post-mortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early Alzheimer's disease detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of Alzheimer’s disease by non-invasive methods. The purpose is to examine, in a pilot study, the potential of applying Machine Learning algorithms to speech features obtained from suspected Alzheimer sufferers in order help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: Spontaneous Speech and Emotional Response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of Alzheimer’s disease patients.