Mult-class differentiation of cannabis seedlings in a forensic context

This article presents an experimental study about the classification ability of several classifiers for multi-classclassification of cannabis seedlings. As the cultivation of drug type cannabis is forbidden in Switzerland lawenforcement authorities regularly ask forensic laboratories to determinate the chemotype of a seized cannabisplant and then to conclude if the plantation is legal or not. This classification is mainly performed when theplant is mature as required by the EU official protocol and then the classification of cannabis seedlings is a timeconsuming and costly procedure. A previous study made by the authors has investigated this problematic [1]and showed that it is possible to differentiate between drug type (illegal) and fibre type (legal) cannabis at anearly stage of growth using gas chromatography interfaced with mass spectrometry (GC-MS) based on therelative proportions of eight major leaf compounds. The aims of the present work are on one hand to continueformer work and to optimize the methodology for the discrimination of drug- and fibre type cannabisdeveloped in the previous study and on the other hand to investigate the possibility to predict illegal cannabisvarieties. Seven classifiers for differentiating between cannabis seedlings are evaluated in this paper, namelyLinear Discriminant Analysis (LDA), Partial Least Squares Discriminant Analysis (PLS-DA), Nearest NeighbourClassification (NNC), Learning Vector Quantization (LVQ), Radial Basis Function Support Vector Machines(RBF SVMs), Random Forest (RF) and Artificial Neural Networks (ANN). The performance of each method wasassessed using the same analytical dataset that consists of 861 samples split into drug- and fibre type cannabiswith drug type cannabis being made up of 12 varieties (i.e. 12 classes). The results show that linear classifiersare not able to manage the distribution of classes in which some overlap areas exist for both classificationproblems. Unlike linear classifiers, NNC and RBF SVMs best differentiate cannabis samples both for 2-class and12-class classifications with average classification results up to 99% and 98%, respectively. Furthermore, RBFSVMs correctly classified into drug type cannabis the independent validation set, which consists of cannabisplants coming from police seizures. In forensic case work this study shows that the discrimination betweencannabis samples at an early stage of growth is possible with fairly high classification performance fordiscriminating between cannabis chemotypes or between drug type cannabis varieties.

Automated Recording of Bridge Inspection Data in the Pontis Format Final Report, HR-364 April 1995

A large percentage of bridges in the state of Iowa are classified as structurally or fiinctionally deficient. These bridges annually compete for a share of Iowa's limited transportation budget. To avoid an increase in the number of deficient bridges, the state of Iowa decided to implement a comprehensive Bridge Management System (BMS) and selected the Pontis BMS software as a bridge management tool. This program will be used to provide a selection of maintenance, repair, and replacement strategies for the bridge networks to achieve an efficient and possibly optimal allocation of resources. The Pontis BMS software uses a new rating system to evaluate extensive and detailed inspection data gathered for all bridge elements. To manually collect these data would be a highly time-consuming job. The objective of this work was to develop an automated-computerized methodology for an integrated data base that includes the rating conditions as defined in the Pontis program. Several of the available techniques that can be used to capture inspection data were reviewed, and the most suitable method was selected. To accomplish the objectives of this work, two userfriendly programs were developed. One program is used in the field to collect inspection data following a step-by-step procedure without the need to refer to the Pontis user's manuals. The other program is used in the office to read the inspection data and prepare input files for the Pontis BMS software. These two programs require users to have very limited knowledge of computers. On-line help screens as well as options for preparing, viewing, and printing inspection reports are also available. The developed data collection software will improve and expedite the process of conducting bridge inspections and preparing the required input files for the Pontis program. In addition, it will eliminate the need for large storage areas and will simplify retrieval of inspection data. Furthermore, the approach developed herein will facilitate transferring these captured data electronically between offices within the Iowa DOT and across the state.

Development of LRFD Procedures for Bridge Pile Foundations in Iowa Final Report, June 2010

For well over 100 years, the Working Stress Design (WSD) approach has been the traditional basis for geotechnical design with regard to settlements or failure conditions. However, considerable effort has been put forth over the past couple of decades in relation to the adoption of the Load and Resistance Factor Design (LRFD) approach into geotechnical design. With the goal of producing engineered designs with consistent levels of reliability, the Federal Highway Administration (FHWA) issued a policy memorandum on June 28, 2000, requiring all new bridges initiated after October 1, 2007, to be designed according to the LRFD approach. Likewise, regionally calibrated LRFD resistance factors were permitted by the American Association of State Highway and Transportation Officials (AASHTO) to improve the economy of bridge foundation elements. Thus, projects TR-573, TR-583 and TR-584 were undertaken by a research team at Iowa State University’s Bridge Engineering Center with the goal of developing resistance factors for pile design using available pile static load test data. To accomplish this goal, the available data were first analyzed for reliability and then placed in a newly designed relational database management system termed PIle LOad Tests (PILOT), to which this first volume of the final report for project TR-573 is dedicated. PILOT is an amalgamated, electronic source of information consisting of both static and dynamic data for pile load tests conducted in the State of Iowa. The database, which includes historical data on pile load tests dating back to 1966, is intended for use in the establishment of LRFD resistance factors for design and construction control of driven pile foundations in Iowa. Although a considerable amount of geotechnical and pile load test data is available in literature as well as in various State Department of Transportation files, PILOT is one of the first regional databases to be exclusively used in the development of LRFD resistance factors for the design and construction control of driven pile foundations. Currently providing an electronically organized assimilation of geotechnical and pile load test data for 274 piles of various types (e.g., steel H-shaped, timber, pipe, Monotube, and concrete), PILOT (http://srg.cce.iastate.edu/lrfd/) is on par with such familiar national databases used in the calibration of LRFD resistance factors for pile foundations as the FHWA’s Deep Foundation Load Test Database. By narrowing geographical boundaries while maintaining a high number of pile load tests, PILOT exemplifies a model for effective regional LRFD calibration procedures.

2009-2010 Juvenile Court Services School Liaison Program Data, July 2010

Data are provided to CJJP through statistical summary forms completed by the JCSLs. Because forms are completed only when meaningful contact between a student and a liaison takes place, only a portion of the total population served is reported. Meaningful contact is defined as having at least five contacts within a 60-day period (at any point during the academic year) regarding at least one of the referral reasons supplied on the form. Data are entered into a web-based application by the liaisons and retrieved electronically by CJJP via the internet. Service information is submitted and uploaded only at the end of the academic year.

EADock: docking of small molecules into protein active sites with a multiobjective evolutionary optimization.

In recent years, protein-ligand docking has become a powerful tool for drug development. Although several approaches suitable for high throughput screening are available, there is a need for methods able to identify binding modes with high accuracy. This accuracy is essential to reliably compute the binding free energy of the ligand. Such methods are needed when the binding mode of lead compounds is not determined experimentally but is needed for structure-based lead optimization. We present here a new docking software, called EADock, that aims at this goal. It uses an hybrid evolutionary algorithm with two fitness functions, in combination with a sophisticated management of the diversity. EADock is interfaced with the CHARMM package for energy calculations and coordinate handling. A validation was carried out on 37 crystallized protein-ligand complexes featuring 11 different proteins. The search space was defined as a sphere of 15 A around the center of mass of the ligand position in the crystal structure, and on the contrary to other benchmarks, our algorithm was fed with optimized ligand positions up to 10 A root mean square deviation (RMSD) from the crystal structure, excluding the latter. This validation illustrates the efficiency of our sampling strategy, as correct binding modes, defined by a RMSD to the crystal structure lower than 2 A, were identified and ranked first for 68% of the complexes. The success rate increases to 78% when considering the five best ranked clusters, and 92% when all clusters present in the last generation are taken into account. Most failures could be explained by the presence of crystal contacts in the experimental structure. Finally, the ability of EADock to accurately predict binding modes on a real application was illustrated by the successful docking of the RGD cyclic pentapeptide on the alphaVbeta3 integrin, starting far away from the binding pocket.

Adherence to oral anticancer treatment: focus on quality of execution during continuous schema of treatment

Background and objective: Oral anti-cancer treatments have expanded rapidly over the last years. While taking oral tablets at home ensures a better quality of life, it also exposes patients to the risk of sub-optimal adherence. The objective of this study is to assess how well ambulatory cancer patients execute their prescribed dosing regimen while they are engaged with continuous anti-cancer treatments. Design: This is an on-going longitudinal study. Consecutive patients starting an oral treatment are proposed to enter the study by the oncologist. Then they are referred to the pharmacy, where their oral anticancer treatment is dispensed in a Medication Event Monitoring System (MEMSTM), which records date and time of each opening of the drug container. Electronically compiled dosing history data from the MEMS are summarized and used as feedback during semistructured interviews with the pharmacist, which are dedicated to prevention and management of side effects. Interviews are scheduled before each medical visit. Report of the interview is available to the oncologist via an on-line secured portal. Setting: Seamless care approach between a Multidisciplinary Oncology Center and the Pharmacy of an Ambulatory Care and Community Medicine Department. Main outcome measures: For each patient, the comparison between the electronically compiled dosing history and the prescribed regimen was summarized using a daily binary indicator indicating whether yes or no the patient has taken the medication as prescribed. Results: Study started in March 2008. Among 22 eligible patients, 19 were included (11 men, median age 63 years old) and 3 (14%) refused to participate. 15 patients were prescribed a QD regimen, 3 patients a BID and 1 patient switched from QD to BID during follow-up. Median follow up was 182 days (IQR 72-252). Early discontinuation happened in four patients: side effects (n = 1), psychiatric reasons (n = 1), cancer progression (n = 1) and death (n = 1). On average, the daily number of medications was taken as prescribed in 99% of the follow-up days. Conclusions: Execution of the prescribed dosing regimens was almost perfect during the first 6 months. Maintaining this high degree of regimen execution and persistence over time might however be challenging in this population and need therefore to be confirmed in larger and longer follow-up cohort studies.

A new self-expanding aortic stent valve with annular fixation: in vitro haemodynamic assessment.

OBJECTIVE: Balloon-expandable stent valves require flow reduction during implantation (rapid pacing). The present study was designed to compare a self-expanding stent valve with annular fixation versus a balloon-expandable stent valve. METHODS: Implantation of a new self-expanding stent valve with annular fixation (Symetis, Lausanne, Switzerland) was assessed versus balloon-expandable stent valve, in a modified Dynatek Dalta pulse duplicator (sealed port access to the ventricle for transapical route simulation), interfaced with a computer for digital readout, carrying a 25 mm porcine aortic valve. The cardiovascular simulator was programmed to mimic an elderly woman with aortic stenosis: 120/85 mmHg aortic pressure, 60 strokes/min (66.5 ml), 35% systole (2.8 l/min). RESULTS: A total of 450 cardiac cycles was analysed. Stepwise expansion of the self-expanding stent valve with annular fixation (balloon-expandable stent valve) resulted in systolic ventricular increase from 120 to 121 mmHg (126 to 830+/-76 mmHg)*, and left ventricular outflow obstruction with mean transvalvular gradient of 11+/-1.5 mmHg (366+/-202 mmHg)*, systolic aortic pressure dropped distal to the valve from 121 to 64.5+/-2 mmHg (123 to 55+/-30 mmHg) N.S., and output collapsed to 1.9+/-0.06 l/min (0.71+/-0.37 l/min* (before complete obstruction)). No valve migration occurred in either group. (*=p<0.05). CONCLUSIONS: Implantation of this new self-expanding stent valve with annular fixation has little impact on haemodynamics and has the potential for working heart implantation in vivo. Flow reduction (rapid pacing) is not necessary.

Healthy Aging Update, August 8, 2013, Vol. 8, no. 4

This bimonthly electronic newsletter will provide information and resources on nutrition and health promotion and disease prevention. The Healthy Aging Update is produced for informal and educational purposes only. The newsletter will be distributed electronically and posted on the Department’s website at www.state.ia.us/elderaffairs.

Healthy Aging Update, December 10, 2013, Vol. 8, no. 6

This bimonthly electronic newsletter will provide information and resources on nutrition and health promotion and disease prevention. The Healthy Aging Update is produced for informal and educational purposes only. The newsletter will be distributed electronically and posted on the Department’s website at www.state.ia.us/elderaffairs.

Healthy Aging Update, February 6, 2014, Vol. 9, no. 1

This bimonthly electronic newsletter will provide information and resources on nutrition and health promotion and disease prevention. The Healthy Aging Update is produced for informal and educational purposes only. The newsletter will be distributed electronically and posted on the Department’s website at www.state.ia.us/elderaffairs.

Healthy Aging Update, October 17, 2013, Vol. 8, no. 5

This bimonthly electronic newsletter will provide information and resources on nutrition and health promotion and disease prevention. The Healthy Aging Update is produced for informal and educational purposes only. The newsletter will be distributed electronically and posted on the Department’s website at www.state.ia.us/elderaffairs.

Healthy Aging Update, April 14, 2014, Vol. 9, no. 2

This bimonthly electronic newsletter will provide information and resources on nutrition and health promotion and disease prevention. The Healthy Aging Update is produced for informal and educational purposes only. The newsletter will be distributed electronically and posted on the Department’s website at www.state.ia.us/elderaffairs.

Healthy Aging Update, June 2, 2014, Vol. 9, no. 3

This bimonthly electronic newsletter will provide information and resources on nutrition and health promotion and disease prevention. The Healthy Aging Update is produced for informal and educational purposes only. The newsletter will be distributed electronically and posted on the Department’s website at www.state.ia.us/elderaffairs.

Healthy Aging Update, April 1, 2013, Vol. 8, no. 2

This bimonthly electronic newsletter will provide information and resources on nutrition and health promotion and disease prevention. The Healthy Aging Update is produced for informal and educational purposes only. The newsletter will be distributed electronically and posted on the Department’s website at www.state.ia.us/elderaffairs.

Healthy Aging Update, February, 2015, Vol. 10, no. 1

This bimonthly electronic newsletter will provide information and resources on nutrition and health promotion and disease prevention. The Healthy Aging Update is produced for informal and educational purposes only. The newsletter will be distributed electronically and posted on the Department’s website at www.state.ia.us/elderaffairs.