Interorganisational collaboration in the public sector

The research applies the contextual context, content, and process (CCP) framework to explore the contextual and processual factors that are associated with implementing interorganisational collaborative arrangements in the public sector. Collaborative arrangements in the public sector are found to be complex, difficult to implement, and liable to failure when not fully explored and recognised. Background theory reveals the absence of a multilevel lens that can embrace the multifaceted nature of interorganisational collaborations, the multiple contextual levels, the process stages and micro-actions, and the interplay between the process and the context. By identifying the need to explore contextual and processual factors, the background theory informs the focal theory which proposes an extended CCP framework as a useful multilevel lens to elucidate the research problem. The framework is developed and validated through multidisciplinary literature synthesisation, the pilot stage, and the main fieldwork which applies qualitative methods based on multiple case studies from the public sector in Oman as data sources’ techniques. The originality of this study stemming from developing and validating a novel multilevel contextual framework. The emerged multifaceted CCP framework, used to explore contextual and processual factors when implementing collaborative arrangements in the public sector, is found to be an applicable, feasible, and useful analysis tool. It can help public policy-makers, public management, academics, change agents, and collaborating organisations in identifying the inhibitive, supportive prerequisites, and in general influencing contextual factors. It helps also in elucidating and minimising uncertainty about the nature and micro-actions of the processual stages.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Interorganisational collaboration in the public sector

The research applies the contextual context, content, and process (CCP) framework to explore the contextual and processual factors that are associated with implementing interorganisational collaborative arrangements in the public sector. Collaborative arrangements in the public sector are found to be complex, difficult to implement, and liable to failure when not fully explored and recognised. Background theory reveals the absence of a multilevel lens that can embrace the multifaceted nature of interorganisational collaborations, the multiple contextual levels, the process stages and micro-actions, and the interplay between the process and the context. By identifying the need to explore contextual and processual factors, the background theory informs the focal theory which proposes an extended CCP framework as a useful multilevel lens to elucidate the research problem. The framework is developed and validated through multidisciplinary literature synthesisation, the pilot stage, and the main fieldwork which applies qualitative methods based on multiple case studies from the public sector in Oman as data sources’ techniques. The originality of this study stemming from developing and validating a novel multilevel contextual framework. The emerged multifaceted CCP framework, used to explore contextual and processual factors when implementing collaborative arrangements in the public sector, is found to be an applicable, feasible, and useful analysis tool. It can help public policy-makers, public management, academics, change agents, and collaborating organisations in identifying the inhibitive, supportive prerequisites, and in general influencing contextual factors. It helps also in elucidating and minimising uncertainty about the nature and micro-actions of the processual stages.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Frequency of helicobacter pylori hopQI, hopQII and sabA genes among Iranian patients with gastroduodenal diseases

Background: Helicobacter pylori has been recognized as the most common pathogen of human gastroduodenal tract and it has been suggested that adhesins, including HopQ and SabA, are associated with the organism’s virulence. Objectives: The current study aimed at determining the frequency of hopQI, hopQII, and sabA genes among H. pylori isolates from patients with gastroduodenal disorders in Shahrekord, Iran. Methods: Gastric corpus samples were obtained from 150 symptomatic patients admitted to the endoscopy unit at gastroenterology clinic. After DNA extraction from all corpus samples, H. pylori molecular confirmation and genotyping was performed by the polymerase chain reaction (PCR), using specific primers for glmM, 16SrRNA and hopQ, sabA genes, respectively. Results: The hopQI, hopQII, and sabA genes were found in 74 (49.3%), 59 (39.3%), and 43 (28.7%) cases, respectively. The hopQI gene was detected in 75% of patients with gastric cancer (GC), 42.4% with chronic gastritis (CG), and 57.4% with peptic ulcer disease (PUD). The hopQII among patients with GC, CG, and PUD was also detected in 50%, 38.8%, and 39.3%, respectively. Moreover, sabA was diagnosed in 50% of patients with GC, 29.4% with CG, and 26.2% with PUD. Conclusions: No significant association was observed between hopQI, hopQII, and sabA genes with clinical outcomes

Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE) Conceptual Design Report Volume 2: The Physics Program for DUNE at LBNF

The Physics Program for the Deep Underground Neutrino Experiment (DUNE) at the Fermilab Long-Baseline Neutrino Facility (LBNF) is described

Microscopy in forensic science

This chapter examines the use of electron microscopy, atomic force microscopy and other analytical techniques in forensic investigation and research. These tools can be used to enhance examination of human remains and trace evidence to improve understanding of cause of death, victim identification or post mortem interval.A police-designed scenario is used to highlight trace evidence such as glass, gun shot residue and paint. The validity of forensic techniques is discussed, with reference to international standards, repeatability, and false convictions. Ballistic evidence is used to highlight the complexities in evidence interpretation, including manufacturing variability, environmental effects and likelihood ratios.The use of scanning electron microscopy (SEM), atomic force microscopy (AFM) and other techniques in the development of forensic research is showcased, with particular examples from the field of fingerprints. Examples include improvements in the development of fingermarks from difficult surfaces, interaction of evidence types, and added intelligence from the crime scene, such as forensic timeline or gender of perpetrator

A proposed architecture and method of operation for improving the protection of privacy and confidentiality in disease registers

BACKGROUND: Disease registers aim to collect information about all instances of a disease or condition in a defined population of individuals. Traditionally methods of operating disease registers have required that notifications of cases be identified by unique identifiers such as social security number or national identification number, or by ensembles of non-unique identifying data items, such as name, sex and date of birth. However, growing concern over the privacy and confidentiality aspects of disease registers may hinder their future operation. Technical solutions to these legitimate concerns are needed. DISCUSSION: An alternative method of operation is proposed which involves splitting the personal identifiers from the medical details at the source of notification, and separately encrypting each part using asymmetrical (public key) cryptographic methods. The identifying information is sent to a single Population Register, and the medical details to the relevant disease register. The Population Register uses probabilistic record linkage to assign a unique personal identification (UPI) number to each person notified to it, although not necessarily everyone in the entire population. This UPI is shared only with a single trusted third party whose sole function is to translate between this UPI and separate series of personal identification numbers which are specific to each disease register. SUMMARY: The system proposed would significantly improve the protection of privacy and confidentiality, while still allowing the efficient linkage of records between disease registers, under the control and supervision of the trusted third party and independent ethics committees. The proposed architecture could accommodate genetic databases and tissue banks as well as a wide range of other health and social data collections. It is important that proposals such as this are subject to widespread scrutiny by information security experts, researchers and interested members of the general public, alike

Ability of Group IVB metallocene polyethers containing dienestrol to arrest the growth of selected cancer cell lines

<p>Abstract</p> <p>Background</p> <p>Monomeric Group IVB (Ti, Zr and Hf) metallocenes represent a new class of antitumor compounds. There is literature on the general biological activities of some organotin compounds. Unfortunately, there is little information with respect to the molecular level activity of these organotin compounds. We recently started focusing on the anti-cancer activity of organotin polymers that we had made for other purposes and as part of our platinum anti-cancer effort.</p> <p>Methods</p> <p>For this study, we synthesized a new series of metallocene-containing compounds coupling the metallocene unit with dienestrol, a synthetic, nonsteroidal estrogen. This is part of our effort to couple known moieties that offer antitumor activity with biologically active units hoping to increase the biological activity of the combination. The materials were confirmed to be polymeric using light scattering photometry and the structural repeat unit was verified employing matrix assisted laser desorption ionization mass spectrometry and infrared spectroscopy results.</p> <p>Results</p> <p>The polymers demonstrated the ability to suppress the growth of a series of tumor cell lines originating from breast, colon, prostrate, and lung cancers at concentrations generally lower than those required for inhibition of cell growth by the commonly used antitumor drug cisplatin.</p> <p>Conclusion</p> <p>These drugs show great promise in vitro against a number of cancer cell lines and due to their polymeric nature will most likely be less toxic than currently used metal-containing drugs such as cisplatin. These drugs also offer several addition positive aspects. First, the reactants are commercially available so that additional synthetic steps are not needed. Second, synthesis of the polymer is rapid, occurring within about 15 seconds. Third, the interfacial synthetic system is already industrially employed in the synthesis of aromatic nylons and polycarbonates. Thus, the ability to synthesize large amounts of the drugs is straight forward.</p

Integrated Bio-Entity Network: A System for Biological Knowledge Discovery

A significant part of our biological knowledge is centered on relationships between biological entities (bio-entities) such as proteins, genes, small molecules, pathways, gene ontology (GO) terms and diseases. Accumulated at an increasing speed, the information on bio-entity relationships is archived in different forms at scattered places. Most of such information is buried in scientific literature as unstructured text. Organizing heterogeneous information in a structured form not only facilitates study of biological systems using integrative approaches, but also allows discovery of new knowledge in an automatic and systematic way. In this study, we performed a large scale integration of bio-entity relationship information from both databases containing manually annotated, structured information and automatic information extraction of unstructured text in scientific literature. The relationship information we integrated in this study includes protein–protein interactions, protein/gene regulations, protein–small molecule interactions, protein–GO relationships, protein–pathway relationships, and pathway–disease relationships. The relationship information is organized in a graph data structure, named integrated bio-entity network (IBN), where the vertices are the bio-entities and edges represent their relationships. Under this framework, graph theoretic algorithms can be designed to perform various knowledge discovery tasks. We designed breadth-first search with pruning (BFSP) and most probable path (MPP) algorithms to automatically generate hypotheses—the indirect relationships with high probabilities in the network. We show that IBN can be used to generate plausible hypotheses, which not only help to better understand the complex interactions in biological systems, but also provide guidance for experimental designs