The isolation and purification of tris-2,2'-bipyridine complexes of ruthenium(II) containing unsymmetrical ligands

Monomeric ruthenium(II) complexes [Ru(L)3]2+ containing unsymmetric bipyridine ligands [Where L = 5-methyl-2,2'-bipyridine (L1), 5-ethyl-2,2'-bipyridine (L2), 5-propyl-2,2'-bipyridine (L3), 5-(2-methylpropyl)-2,2'-bipyridine (L4), 5-(2,2-dimethylpropyl)-2,2'-bipyridine (L5) and 5-(carbomethoxy)-2,2'-bipyridine (L6)] have been studied and the meridional and facial isomers isolated by the use of cation-exchange column chromatography (SP Sephadex C-25) eluting with either sodium toluene-4-sulfonate or sodium hexanoate. The relative yield of the facial isomer was found to decrease with increasing steric bulk, preventing the isolation of fac-[Ru(L5)3]2+. The two isomeric forms were characterized by 1H NMR, with the complexes [Ru(L1-3)3]2+ demonstrating an unusually large coupling between the H6 and H4 protons. Crystals suitable for X-ray structural analysis of [Ru(L1)3]2+ were obtained as a mixture of the meridional and facial isomers, indicating that separation of this isomeric mixture could not be achieved by fractional crystallisation. The optical isomers of the complex [Ru(L3)3]2+ were chromatographically separated on SP Sephadex C-25 relying upon the inherent chirality of the support. It is apparent that chiral interactions can inhibit geometric isomer separation using this technique.

Galactic Edge Clouds I. Molecular Line Observations and Chemical Modelling of Edge Cloud 2

Edge Cloud 2 (EC2) is a molecular cloud, about 35 pc in size, with one of the largest galactocentric distances known to exist in the Milky Way. We present observations of a peak CO emission region in the cloud and use these to determine its physical characteristics. We calculate a gas temperature of 20 K and a density of n(H2)~10^4 cm-3. Based on our CO maps, we estimate the mass of EC2 at around 10^4 Msolar and continuum observations suggest a dust-to-gas mass ratio as low as 0.001. Chemical models have been developed to reproduce the abundances in EC2, and they indicate that heavy element abundances may be reduced by a factor of 5 relative to the solar neighborhood (similar to dwarf irregular galaxies and damped Lya systems), very low extinction (A_V <4 mag) due to a very low dust-to-gas mass ratio, an enhanced cosmic-ray ionization rate, and a higher UV field compared to local interstellar values. The reduced abundances may be attributed to the low level of star formation in this region and are probably also related to the continuing infall of primordial (or low-metallicity) halo gas since the Milky Way formed. Finally, we note that shocks from the old supernova remnant GSH 138-01-94 may have determined the morphology and dynamics of EC2.

The isolation and secondary functionalisation of the mer- and fac-isomers of tris(5-hydroxymethyl-2,2 '-bipyridine) complexes of ruthenium(II)

Tris-chelate 5-hydroxymethyl-2,2 '-bipyridine complexes of ruthenium (II) and the structurally related benzo- and naphthoesters have been isolated. The mer-isomer of the alcohol functionalised complex has been isolated by selective precipitation from methylene chloride and was subsequently functionalised to the benzoester with retention of the geometrical isomerism. The fac- and merisomeric forms of the ester complexes were separated using preparative plate silica chromatography and characterised by H-1 NMR spectroscopy. X-ray structural analysis of the fac-isomer of both the ester complexes confirmed the product assignment. The photophysical properties of the three isomers were investigated, indicating very similar absorption spectra to [Ru(biPY)(3)](2+). The emission wavelength was comparable in each case, with the aromatic ester complexes giving a much longer lifetime and higher quantum yields. (c) 2004 Elsevier B.V. All rights reserved.

The comparison of fac and mer ruthenium(II) trischelate complexes in anion binding

The synthesis of three new homoleptic trischelate ruthenium( II) complexes bearing new 2,2'-bipyridine ligands, 5,5'-dibenzylamido-2,2'-bipyridine (L1) and 5-benzylamido-2,2'- bipyridine (L2) has been achieved. In the case of [Ru(L2)(3)](2+), the mer and fac isomers have been separated. H-1 NMR spectroscopic anion binding studies indicate that the two C-3-symmetric pockets provided by [ Ru(L1)(3)](2+) is conducive to receive a range of anions, although this is not readily reflected in the photophysical behaviour. The fac-isomer of [Ru(L2)(3)](2+) does appear to have an enhancement in the binding interactions over the mer form with dihydrogenphosphate salts, although the difference is much less marked with the spherical chloride ions. From X-ray crystallographic evidence, the ability to hold water in the "anion" binding cleft can inhibit the strength of the interactions with anions, giving rise to the observed selectivity for directional oxoanions such as dihydrogen phosphate.

Target Detection and Tracking With Heterogeneous Sensors

We present a multimodal detection and tracking algorithm for sensors composed of a camera mounted between two microphones. Target localization is performed on color-based change detection in the video modality and on time difference of arrival (TDOA) estimation between the two microphones in the audio modality. The TDOA is computed by multiband generalized cross correlation (GCC) analysis. The estimated directions of arrival are then postprocessed using a Riccati Kalman filter. The visual and audio estimates are finally integrated, at the likelihood level, into a particle filter (PF) that uses a zero-order motion model, and a weighted probabilistic data association (WPDA) scheme. We demonstrate that the Kalman filtering (KF) improves the accuracy of the audio source localization and that the WPDA helps to enhance the tracking performance of sensor fusion in reverberant scenarios. The combination of multiband GCC, KF, and WPDA within the particle filtering framework improves the performance of the algorithm in noisy scenarios. We also show how the proposed audiovisual tracker summarizes the observed scene by generating metadata that can be transmitted to other network nodes instead of transmitting the raw images and can be used for very low bit rate communication. Moreover, the generated metadata can also be used to detect and monitor events of interest.

Design, synthesis and photodynamic antimicrobial activity of ruthenium trischelate diimine complexes

In this study, we describe, for the first time, the synthesis and photophysical and microbiological investigation of ruthenium trischelate diimine complexes designed so as to possess properties specifically suited for use in Photodynamic antimicrobial chemotherapy (PACT). Of the three compounds investigated, one ([Ru(dmob)(3)]Cl-2) has demonstrated considerable promise as a photosensitiser for use in PACT. As a result, this compound is now the subject of comprehensive chemical, toxicological and formulation studies.

Multi-detection of Paralytic, Diarrheic and Amnesic Shellfish Toxins by an Inhibition Immunoassay Using a Microsphere-Flow Cytometry System

The presence of paralytic shellfish poisoning (PSP), diarrheic shellfish poisoning (DSP) and amnesic shellfish poisoning (ASP) toxins in seafood is a severe and growing threat to human health. In order to minimize the risks of human exposure, the maximum content of these toxins in seafood has been limited by legal regulations worldwide. The regulated limits are established in equivalents of the main representatives of the groups: saxitoxin (STX), okadaic acid (OA) and domoic acid (DA), for PSP, DSP and ASP, respectively. In this study a multi-detection method to screen shellfish samples for the presence of these toxins simultaneously was developed. Multiplexing was achieved using a solid-phase microsphere assay coupled to flow-fluorimetry detection, based on the Luminex xMap technology. The multi-detection method consists of three simultaneous competition immunoassays. Free toxins in solution compete with STX, OA or DA immobilized on the surface of three different classes of microspheres for binding to specific monoclonal antibodies. The IC50 obtained in buffer was similar in single- and multi-detection: 5.6 ± 1.1 ng/mL for STX, 1.1 ± 0.03 ng/mL for OA and 1.9 ± 0.1 ng/mL for DA. The sample preparation protocol was optimized for the simultaneous extraction of STX, OA and DA with a mixture of methanol and acetate buffer. The three immunoassays performed well with mussel and scallop matrixes displaying adequate dynamic ranges and recovery rates (around 90 % for STX, 80 % for OA and 100 % for DA). This microsphere-based multi-detection immunoassay provides an easy and rapid screening method capable of detecting simultaneously in the same sample three regulated groups of marine toxins.

Loss-of-Main Monitoring and Detection for Distributed Generations Using Dynamic Principal Component Analysis

In this paper, our previous work on Principal Component Analysis (PCA) based fault detection method is extended to the dynamic monitoring and detection of loss-of-main in power systems using wide-area synchrophasor measurements. In the previous work, a static PCA model was built and verified to be capable of detecting and extracting system faulty events; however the false alarm rate is high. To address this problem, this paper uses a well-known ‘time lag shift’ method to include dynamic behavior of the PCA model based on the synchronized measurements from Phasor Measurement Units (PMU), which is named as the Dynamic Principal Component Analysis (DPCA). Compared with the static PCA approach as well as the traditional passive mechanisms of loss-of-main detection, the proposed DPCA procedure describes how the synchrophasors are linearly
auto- and cross-correlated, based on conducting the singular value decomposition on the augmented time lagged synchrophasor matrix. Similar to the static PCA method, two statistics, namely T2 and Q with confidence limits are calculated to form intuitive charts for engineers or operators to monitor the loss-of-main situation in real time. The effectiveness of the proposed methodology is evaluated on the loss-of-main monitoring of a real system, where the historic data are recorded from PMUs installed in several locations in the UK/Ireland power system.

Efficient Algorithms for Answering the m-Closest Keywords Query

As an important type of spatial keyword query, the m-closest keywords (mCK) query finds a group of objects such that they cover all query keywords and have the smallest diameter, which is defined as the largest distance between any pair of objects in the group. The query is useful in many applications such as detecting locations of web resources. However, the existing work does not study the intractability of this problem and only provides exact algorithms, which are computationally expensive.

In this paper, we prove that the problem of answering mCK queries is NP-hard. We first devise a greedy algorithm that has an approximation ratio of 2. Then, we observe that an mCK query can be approximately answered by finding the circle with the smallest diameter that encloses a group of objects together covering all query keywords. We prove that the group enclosed in the circle can answer the mCK query with an approximation ratio of 2 over 3. Based on this, we develop an algorithm for finding such a circle exactly, which has a high time complexity. To improve efficiency, we propose another two algorithms that find such a circle approximately, with a ratio of 2 over √3 + ε. Finally, we propose an exact algorithm that utilizes the group found by the 2 over √3 + ε)-approximation algorithm to obtain the optimal group. We conduct extensive experiments using real-life datasets. The experimental results offer insights into both efficiency and accuracy of the proposed approximation algorithms, and the results also demonstrate that our exact algorithm outperforms the best known algorithm by an order of magnitude.

Assessing and Reporting the Adverse Effects of Antipsychotic Medication: A Systematic Review of Clinical Studies, and Prospective, Retrospective, and Cross-Sectional Research

Objective: Adverse effects (AEs) of antipsychotic medication have important implications for patients and prescribers in terms of wellbeing, treatment adherence and quality of life. This review summarises strategies for collecting and reporting AE data across a representative literature sample to ascertain their rigour and comprehensiveness. Methods: A PsycINFO search, following PRISMA Statement guidelines, was conducted in English-language journals (1980–July 2014) using the following search string: (antipsychotic* OR neuroleptic*) AND (subjective effect OR subjective experience OR subjective response OR subjective mental alterations OR subjective tolerability OR subjective wellbeing OR patient perspective OR self-rated effects OR adverse effects OR side-effects). Of 7,825 articles, 384 were retained that reported quantified results for AEs of typical or atypical antipsychotics amongst transdiagnostic adult, adolescent, and child populations. Information extracted included: types of AEs reported; how AEs were assessed; assessment duration; assessment of the global impact of antipsychotic consumption on wellbeing; and conflict of interest due to industry sponsorship. Results: Neurological, metabolic, and sedation-related cognitive effects were reported most systematically relative to affective, anticholinergic, autonomic, cutaneous, hormonal, miscellaneous, and non-sedative cognitive effects. The impact of AEs on patient wellbeing was poorly assessed. Cross-sectional and prospective research designs yielded more comprehensive data about AE severity and prevalence than clinical or observational retrospective studies. 3 Conclusions: AE detection and classification can be improved through the use of standardised assessment instruments and consideration of subjective patient impact. Observational research can supplement information from clinical trials to improve the ecological validity of AE data.

Molecularly-Imprinted Materials for Potentiometric Transduction: Application to the Antibiotic Enrofloxacin

Enrofloxacin (ENR) is an antimicrobial used both in humans and in food producing species. Its control is required in farmed species and their surroundings in order to reduce the prevalence of antibiotic resistant bacteria. Thus, a new biomimetic sensor enrofloxacin is presented. An artificial host was imprinted in specific polymers. These were dispersed in 2-nitrophenyloctyl ether and entrapped in a poly(vinyl chloride) matrix. The potentiometric sensors exhibited a near-Nernstian response. Slopes expressing mV/Δlog([ENR]/M) varied within 48–63. The detection limits ranged from 0.28 to 1.01 µg mL−1. Sensors were independent from the pH of test solutions within 4–7. Good selectivity was observed toward potassium, calcium, barium, magnesium, glycine, ascorbic acid, creatinine, norfloxacin, ciprofloxacin, and tetracycline. In flowing media, the biomimetic sensors presented good reproducibility (RSD of ± 0.7%), fast response, good sensitivity (47 mV/Δlog([ENR]/M), wide linear range (1.0 × 10−5–1.0 × 10−3 M), low detection limit (0.9 µg mL−1), and a stable baseline for a 5 × 10−2 M acetate buffer (pH 4.7) carrier. The sensors were used to analyze fish samples. The method offered the advantages of simplicity, accuracy, and automation feasibility. The sensing membrane may contribute to the development of small devices allowing in vivo measurements of enrofloxacin or parent-drugs.

Evaluation of Machine Learning Classifiers for Mobile Network Intrusion Detection Systems

Mobile malwares are increasing with the growing number of Mobile users. Mobile malwares can perform several operations which lead to cybersecurity threats such as, stealing financial or personal information, installing malicious applications, sending premium SMS, creating backdoors, keylogging and crypto-ransomware attacks. Knowing the fact that there are many illegitimate Applications available on the App stores, most of the mobile users remain careless about the security of their Mobile devices and become the potential victim of these threats. Previous studies have shown that not every antivirus is capable of detecting all the threats; due to the fact that Mobile malwares use advance techniques to avoid detection. A Network-based IDS at the operator side will bring an extra layer of security to the subscribers and can detect many advanced threats by analyzing their traffic patterns. Machine Learning(ML) will provide the ability to these systems to detect unknown threats for which signatures are not yet known. This research is focused on the evaluation of Machine Learning classifiers in Network-based Intrusion detection systems for Mobile Networks. In this study, different techniques of Network-based intrusion detection with their advantages, disadvantages and state of the art in Hybrid solutions are discussed. Finally, a ML based NIDS is proposed which will work as a subsystem, to Network-based IDS deployed by Mobile Operators, that can help in detecting unknown threats and reducing false positives. In this research, several ML classifiers were implemented and evaluated. This study is focused on Android-based malwares, as Android is the most popular OS among users, hence most targeted by cyber criminals. Supervised ML algorithms based classifiers were built using the dataset which contained the labeled instances of relevant features. These features were extracted from the traffic generated by samples of several malware families and benign applications. These classifiers were able to detect malicious traffic patterns with the TPR upto 99.6% during Cross-validation test. Also, several experiments were conducted to detect unknown malware traffic and to detect false positives. These classifiers were able to detect unknown threats with the Accuracy of 97.5%. These classifiers could be integrated with current NIDS', which use signatures, statistical or knowledge-based techniques to detect malicious traffic. Technique to integrate the output from ML classifier with traditional NIDS is discussed and proposed for future work.

Investigation into the determination of arsenic by direct current plasma atomic emission spectrometer

Improvements have been made on the currently available hydride generator system manufactured by SpectraMetrics Incorporated, because the system was found to be unsatisfactory with respect to the following: 1. the drying agent, anhydrous calcium chloride, 2. the special sample tube, 3. the direction of argon flow through the Buchner funnel when it came to dealing with real sample, that is, with reference only to aqueous extracts of soil samples. Changes that were made on the system included the replacement of anhydrous calcium chloride with anhydrous calcium sulphate and the replacement of the special sample tube with a modified one made from silica. Re-directing the flow of argon through the top of the Buchner funnel appeared to make the system compatible with aqueous extracts of soil samples. The interferences from 1000 ~g/mL of nickel(II) , cobalt(II), iron(III), copper(II) have been eliminated with the aid of 1.4 M hydrochloric acid and 1% (weight/volume) L-cystine. Greater than 90% recovery of 0.3 ~g/mL arsenic signal was achieved in each case. Furthermore, 103% of arsenic signal was accomplished in the presence of 1000 ~g/mL cadmium with 5 M Hel. tVhen each of the interferents was present in solution at 1000 ppm, a recovery of 85% was achieved by using 5 M hydrochloric acid and 3% (weight/volume) L-cystine. Without L-cystine and when 1.4 M hydrochloric acid was used, the recoveries were 0% (Ni), 0% (Co), 88% (Fe), 15% (Cu), 18% (Cd). Similarly, a solution containing 1000 ppm of each interferent gave a zero percent recovery of arsenic. The reduction of trivalent and pentavalent arsenic at a pH less than one has also been investigated and shown to be quantitative if peak areas are measured. The reproducibility determination of a 0.3 Vg/mL standard arsenic solution by hydride generation shows a relative standard deviation of 3.4%. The detection limits with and without Porapak Q have been found to be 0.6 ng/mL and 1.0 ng/mL, respectively.

Hypertension artérielle dans la population adulte du Burkina Faso : prévalence, détection, traitement et contrôle

Contexte : L’hypertension artérielle (HTA) est reconnue comme un important facteur de risque des maladies cardiovasculaires et de la mortalité prématurée. Les données montrent qu’un adulte sur 4 dans le monde souffrait d’hypertension en 2000 et ce chiffre serait en augmentation. Dans les pays africains, les estimations prévoient une progression plus rapide de la prévalence de l’HTA engendrant ainsi un problème additionnel à gérer pour le système de santé qui est toujours aux prises avec les maladies transmissibles. Les progrès économiques et l’urbanisation semblent entraîner des modifications des habitudes de vie dans ces pays qui seraient associés à une émergence des maladies non transmissibles, dont l’HTA. Le Burkina Faso, pays de l’Afrique de l’Ouest classé comme un pays à faibles revenus, aurait amorcé sa transition épidémiologique et il importe de faire un état sur les maladies non transmissibles en émergence. Afin de contribuer à la connaissance des aspects épidémiologiques de l’HTA au Burkina Faso, trois objectifs spécifiques ont été retenus pour la présente recherche : 1) Estimer la prévalence de l’HTA et identifier les facteurs associés dans la population rurale et la population semi-urbaine du Système de Surveillance démographique et de Santé de Kaya (Kaya HDSS) ; 2) Déterminer la différence de prévalence de l’HTA entre la zone lotie et la zone non lotie de la ville de Ouagadougou et identifier les facteurs associés ; 3) Déterminer la détection, le traitement, le contrôle de l’HTA et estimer la fréquentation des centres de santé par les personnes hypertendues nouvellement dépistées dans la population adulte du Centre Nord du Burkina Faso. Méthodologie : Le cadre de notre recherche est le Burkina Faso. Deux sites ont fait l’objet de nos investigations. Kaya HDSS, situé dans la région du Centre Nord du Burkina Faso a servi de site pour les enquêtes ayant permis l’atteinte du premier et du troisième objectif général. Une étude transversale a été menée en fin 2012 sur un échantillon aléatoire de 1645 adultes résidents du site. Un entretien suivi de mesures anthropométriques et de la pression artérielle (PA) ont été réalisés au domicile des participants. Toutes les personnes qui avaient une PA élevée (PA systolique ≥ 140 mm Hg et/ou PA diastolique ≥ 90 mm Hg) et qui n’avaient pas été diagnostiquées auparavant ont été référées à une formation sanitaire. Un second entretien a été réalisé avec ces personnes environ un mois après. Pour le second objectif général, c’est le système de surveillance démographique et de santé de Ouagadougou (Ouaga HDSS) qui a été retenu comme site. Ouaga HDSS couvre 5 quartiers de la zone nord de Ouagadougou. Une étude transversale a été réalisée en 2010 sur un échantillon aléatoire représentatif de la population adulte résidante du site (N = 2041). Des entretiens suivis de mesures anthropométriques et de la PA ont été réalisés durant l’enquête. Résultats : Notre premier article examine la prévalence de l’HTA et les facteurs associés en milieu rural et en milieu semi-urbain. Au total 1481 participants ont été dépistés et la prévalence totale pondérée était de 9,4 % (95 % IC : 7,3 % - 11,4 %) avec une grande différence entre le milieu semi-urbain et le milieu rural : un adulte sur 10 était hypertendu en milieu semi-urbain contre un adulte sur 20 en milieu rural. L’analyse multivariée nous a permis d’identifier l’âge avancé, le milieu semi-urbain et l’histoire familiale de l’HTA comme des facteurs de risque. Dans le deuxième article, nous avons déterminé la différence entre la zone lotie et la zone non lotie du milieu urbain en ce qui concerne l’HTA. Sur 2 041 adultes enquêtés, la prévalence totale est estimée à 18,6 % (95 % IC : 16,9 % - 20,3 %). Après ajustement avec l’âge, il n’y avait pas de différence de prévalence entre la zone lotie et la zone non lotie de la ville de Ouagadougou. Dans ce milieu urbain, l’obésité et l’inactivité physique sont confirmées comme des facteurs à risque. En plus des personnes âgées qui constituent un groupe à risque, les migrants venant du milieu rural et les veuves ont été identifiés comme des personnes à risque. Notre troisième article examine la détection, le traitement, le contrôle de l’HTA ainsi que la fréquentation des structures de santé par les personnes nouvellement dépistées hypertendues dans le milieu non urbain. Sur les 1481 participants à l’étude, 41 % n’avaient jamais mesuré leur PA. Sur les 123 participants (9,4 %) dépistés comme hypertendus, 26,8 % avaient déjà bénéficié d’un diagnostic et 75,8 % de ces derniers étaient sous traitement anti hypertensif. Parmi les participants sous traitement, 60 % (15 sur 25) avaient leur PA sous contrôle. Le suivi de 2 mois a permis de retrouver 72 des 90 personnes nouvellement dépistées. Seulement 50 % ont été en consultation et parmi ces derniers 76 % (28 personnes sur les 37) ont reçu une confirmation de leur hypertension. Conclusion : Notre recherche montre l’évolution de l’HTA en fonction du niveau d’urbanisation de la population. Même si les maladies infectieuses restent la priorité du système de santé, la lutte contre l’HTA doit s’inscrire dans un cadre général de lutte contre les maladies cardiovasculaires. Cette lutte doit être amorcée maintenant avant que des proportions inquiétantes ne soient atteintes. Des actions de prévention telles que la promotion de saines habitudes de vie, le dépistage de masse et un renforcement des capacités du système de soins sont à mettre en œuvre.

Sustainable Watershed Management: Illusion or Reality? A case of Kerala State in India

Soil erosion is more detrimental and affects the chemical, physical and biological properties of the soil. Degradation of soil and water resources is a worldwide problem. Over the next two decades, it is expected that the world will need 17% more water to grow food for the increasing population in developing countries and that total water use will increase by 40%. The total land area subjected to human-induced soil degradation is estimated as 20 x 106 (km)2 Hence conservation of soil and water is essential for the subsistence of life. This can be made possible through sustainable watershed management. This thesis aims at investigating the condition under which sustainable watershed management is possible in Kerala, in South India. The research has been carried out in three stages. In the first stage a conceptual framework is formulated (Chapter 3) based on the relevant literature (Chapter 2) in the field of watershed management. In the second stage this framework is applied to two existing case studies in Kerala State (Chapter 4). In the third stage, the methodology is used to test out geo textile innovation (Chapter 5) in two field experiments (Chapter 6).