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Relevant bibliographies by topics / Pathways Approach

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Academic literature on the topic 'Pathways Approach'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "Pathways Approach"

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Kati, Yassine EL, Shu-Lin Wang, and Fouad Kharroubi. "A Novel Approach for Detecting Driver Mutated Pathways in Glioblastoma Multiform." International Journal of Pharma Medicine and Biological Sciences 8, no. 1 (January 2019): 17–21. http://dx.doi.org/10.18178/ijpmbs.8.1.17-21.

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Ganova-Iolovska, Milka, and Max Geraedts. "Clinical pathways – the Bulgarian approach." Journal of Public Health 17, no. 3 (December 19, 2008): 225–30. http://dx.doi.org/10.1007/s10389-008-0239-0.

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Lee, Yu Ra, Bark Lynn Lew, Woo Young Sim, Jongki Hong, and Bong Chul Chung. "Alterations in Pattern Baldness According to Sex: Hair Metabolomics Approach." Metabolites 11, no. 3 (March 18, 2021): 178. http://dx.doi.org/10.3390/metabo11030178.

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Pattern baldness has been associated with the male hormone, dihydrotestosterone. In this study, we tried to determine how the overall metabolic pathways of pattern baldness differ in patients and in normal controls. Our study aimed to identify alterations in hair metabolomic profiles in order to identify possible markers of pattern baldness according to sex. Untargeted metabolomics profiling in pattern baldness patients and control subjects was conducted using ultra-performance liquid chromatography-mass spectrometry. To identify significantly altered metabolic pathways, partial least squares discriminant analysis was performed. Our analysis indicated differences in steroid biosynthesis pathway in both males and females. However, there was a remarkable difference in the androgen metabolic pathway in males, and the estrogen metabolic and arachidonic acid pathways in females. For the first time, we were able to confirm the metabolic pathway in pattern baldness patients using hair samples. Our finding improves understanding of pattern baldness and highlights the need to link pattern baldness and sex-related differences.

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Moffa, Giusi, Gerrit Erdmann, Oksana Voloshanenko, Christian Hundsrucker, Mohammad J. Sadeh, Michael Boutros, and Rainer Spang. "Refining Pathways: A Model Comparison Approach." PLOS ONE 11, no. 6 (June 1, 2016): e0155999. http://dx.doi.org/10.1371/journal.pone.0155999.

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Buhrs, Ton, and Graeme Aplin. "Pathways Towards Sustainability: The Australian Approach." Journal of Environmental Planning and Management 42, no. 3 (May 1999): 315–40. http://dx.doi.org/10.1080/09640569911118.

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Schroder, Patricia J. "Psychiatric Clinical Pathways: An Interdisciplinary Approach." Journal of Psychosocial Nursing and Mental Health Services 37, no. 1 (January 1999): 22. http://dx.doi.org/10.3928/0279-3695-19990101-12.

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Jones, Keith, Api Desai, Mark Mulville, and Aled Jones. "Asset management using a hybrid backcasting/forecasting approach." Facilities 33, no. 11/12 (August 3, 2015): 701–15. http://dx.doi.org/10.1108/f-11-2014-0090.

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Purpose – The purpose of this paper is to present an alternative approach to facilities and built asset management adaptation planning to climate change based on a hybrid backcasting/forecasting model. Backcasting envisions a future state and examines alternative “pathways of approach” by looking backwards from the future state to the present day. Each pathway is examined in turn to identify interventions required for that pathway to achieve the future state. Each pathway is reviewed using forecasting tools and the most appropriate is selected. This paper describes the application of this approach to the integration of climate change adaptation plans into facilities and built asset management. Design/methodology/approach – The researchers worked with various stakeholders as part of a participatory research team to identify climate change adaptations that may be required to ensure the continued performance of a new educational building over its life cycle. The team identified 2020, 2040 and 2080 year end-goals and assessed alternative pathways of approach. The most appropriate pathways were integrated into the facilities and built asset management plan. Findings – The paper outlines a conceptual framework for formulating long term facilities and built asset management strategies to address adaptation to climate change. Research limitations/implications – The conceptual framework is validated by a single research case study, and further examples are needed to ensure validity of the approach in different facilities management contexts. Originality/value – This is the first paper to explore backcasting principles as part of facilities and built asset management planning.

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Williams, Sharon, and Zoe Radnor. "An integrative approach to improving patient care pathways." International Journal of Health Care Quality Assurance 31, no. 7 (August 13, 2018): 810–21. http://dx.doi.org/10.1108/ijhcqa-07-2017-0132.

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Purpose Globally, healthcare managers continue to struggle with increasing demands for their services being delivered with limited or shrinking resources. It is, therefore, clear that systems, processes and practices need to change to meet these challenges. The purpose of this paper is to assess how integrating two improvement technologies, Lean and integrated care pathways (ICP) might help. Design/methodology/approach Lean and ICP in healthcare provide a platform to develop conceptual frameworks for integrating two approaches. Findings A conceptual integrated framework is provided to assist care pathway designers and implementers to consider the synergistic benefits of combining approaches to improvement. Research limitations/implications The authors provide a conceptual framework that requires empirically testing. Practical implications This research provides a conceptual framework to aid practitioners to improve healthcare design and delivery. Originality/value For the first time, the authors bring together two approaches to improving patient care pathway design and consider how these are linked in relation to improving healthcare delivery.

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Qiao, Bo, Yueying Wu, Xiaoya Li, Zhenyuan Xu, Weigang Duan, Yanan Hu, Wenqing Jia, Qiuyang Fan, and Haijing Xing. "A Network Pharmacology Approach to Explore the Potential Mechanisms of Yifei Sanjie Formula in Treating Pulmonary Fibrosis." Evidence-Based Complementary and Alternative Medicine 2020 (November 30, 2020): 1–15. http://dx.doi.org/10.1155/2020/8887017.

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Objective. Yifei Sanjie Formula (YFSJF) is an effective formula on pulmonary fibrosis (PF), which has been used in clinic for more than 30 years. In order to investigate the molecular mechanism of YFSJF in treating PF, network pharmacology was used to predict the cooperative ingredients and associated pathways. Methods. Firstly, we collected potential active ingredients of YFSJF by TCMSP databases. Secondly, we obtained PF-associated targets through OMIM and Genecards database. Finally, metascape was applied for the analysis of GO terms and KEGG pathways. Results. We screened out 76 potential active ingredients and 98 associated proteins. A total of 5715 items were obtained by GO enrichment analysis ( P < 0.05 ), including 4632 biological processes, 444 cellular components, and 639 molecular functions. A total of 143 related KEGG pathways were enriched ( P < 0.05 ), including IL-17 signaling pathway, T cell receptor signaling pathway, TNF signaling pathway, calcium signaling pathway, TH17 cell differentiation, HIF-1 signaling pathway, and PI3K-Akt signaling pathway. Conclusion. YFSJF can interfere with immune and inflammatory response through multiple targets and pathways, which has a certain role in the treatment of PF. This study lays a foundation for future experimental research.

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Sen, A. K. "Calculation of control coefficients of metabolic pathways. A flux-oriented graph-theoretic approach." Biochemical Journal 279, no. 1 (October 1, 1991): 55–65. http://dx.doi.org/10.1042/bj2790055.

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Within the premises of the flux-oriented theory of Crabtree & Newsholme [(1987) Biochem. J. 247, 113-120], I have used a graph-theoretic approach for calculating the Control Coefficients of metabolic pathways. It is shown that a directed graph representing the control structure of a metabolic pathway can be constructed in a heuristic manner directly from the reaction diagram of the pathway, without the necessity of writing down the governing equations for the Control Coefficients. The Control Coefficients are derived from an analysis of the topology of the directed graph. The graph-theoretic approach also provides a visual framework for analysing the functional relationships of the individual enzymes. The control structures of the following pathways are examined here: (a) a simple unbranched pathway with four enzymes, (b) a simple branched pathway with three enzymes, and (c) a branched pathway with both carbon and energy (ATP) fluxes.

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Dissertations / Theses on the topic "Pathways Approach"

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Liu, Ka-yuet. "Pathways to Suicidal Behaviour : A Mechanism-Based Approach." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504109.

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Graciotti, Michele. "An integrated approach to unravelling malaria cell signalling pathways." Thesis, University of Leicester, 2013. http://hdl.handle.net/2381/27739.

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In the current thesis we analyse protein phosphorylation pathways in P. falciparum, the protozoa responsible for the most virulent form of malaria in order to both understand the role and scope of this protein modification in the parasite, and to explore its feasibility as a new drug target. With the aim to map phosphorylation pathways controlled by P. falciparum Casein Kinase 2 (PfCK2), we developed a new chemical-biological approach based on γ-modified ATP analogues bearing reporting groups on the transferred phosphate in order to selectively tag CK2 substrates. Despite being able to efficiently synthesise a small set of analogues, the data presented here shows that the P-N linkage bond between the nucleotide and the tag is stable during the assay conditions but not during the product analysis due to its acidic liability (e.g. with HPLC, MALDI); suggesting that a different type of linkage should be chosen in the future. Detailed characterisation studies of the parasite PfCK2 presented here showed a number of important features differing from human CK2. Docking analyses with a CK2 inhibitor showed that the PfCK2 ATP binding pocket is smaller than human CK2 due to the presence of Val116 and Leu45 which in the human kinase are replaced by more bulky isoleucine residues: Ile120 and Ile49. The difference between the human and parasite CK2 orthologues extends further to mechanisms of activation and regulation. Shown here is the autophosphorylation of PfCK2 that, unlike the human orthologue, occurs within subdomain I at Thr63. This autophosphorylation is essential for full catalytic activity. In addition we also showed that Thr63 phosphorylation regulates the interaction between the calalytic α-subunit and the regulatory β2-subunit. Here, we also presented evidence for tyrosine phosphorylated proteins in parasite infected red blood cells. PfCK2 can act as a dual specificity kinase phosphorylating P. falciparum Minichromosome Maintenance protein 2 (PfMCM2) on Tyr16 in vitro. It is therefore possible that PfCK2 may contribute to tyrosine phosphorylation within the parasite. Finally, we also reported a study regarding MCM2-Ser13 phosphorylation which successfully identified PfCK1 as the kinase responsible for this event.

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Magliarelli, Helena. "Uncovering ubiquitylation pathways in liver metabolism by a proteomic approach." Thesis, Strasbourg, 2014. http://www.theses.fr/2014STRAJ083/document.

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Chez les vertébrés, le foie est un des organes majeurs du métabolisme en étant le siège de la régulation de différentes voies du métabolisme qui contrôlent l’homéostasie du glucose et des lipides. En se basant sur des travaux de recherche récents suggérant que le système de conjugaison de l'ubiquitine est engagé en réponse à différents signaux métaboliques, nous avons réalisé une analyse protéomique globale dans le but d’identifier des protéines ubiquitylées dans le foie de souris soumises á un protocole de jeûne – re-nourrissage. Parmi les 117 protéines différemment ubiquitylé sur le jeûne ou le re-nourrissage, nous avons identifié complément 3 (C3) dans le foie de souris réalimentées. Nous avons observé qu'un produit d'activation de C3, C3a, est ubiquitylé dans les hépatocytes primaires traités avec les médias riches en nutriments. Ainsi, nous proposons que l'ubiquitination de C3 joue un rôle dans la régulation des fonctions inflammatoires ou métaboliques de C3 dans le foie
In vertebrates, the liver has developed to be a major metabolic organ able to control glucose and lipid homeostasis. It activates or inhibits specific pathways in a regulated manner, depending on the metabolic state of our organism. Based on the emerging experimental evidence suggesting that the ubiquitin conjugation system is engaged in response to different metabolic cues, we conducted a global proteomic analysis to identify metabolic pathways modified by ubiquitylation. To this end, we used livers of mice subjected to a fasting – refeeding protocol. Amongst the 117 proteins differentially ubiquitylated upon fasting or refeeding conditions, we identified complement 3 (C3) to be ubiquitinated in livers of refed mice. We observed that an activation product of C3, C3a, is ubiquitylated in primary hepatocytes treated with nutrient-rich media. Thus, we suggest that the ubiquitylation of C3 plays a role in the regulation of inflammatory or metabolic functions of C3 in the liver

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Flores, Ricardo, Yiting Li, Alexander Yu, Jianhe Shen, Pulivarthi Rao, Serrine Lau, Marina Vannucci, Ching Lau, and Tsz-Kwong Man. "A systems biology approach reveals common metastatic pathways in osteosarcoma." BioMed Central, 2012. http://hdl.handle.net/10150/610101.

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BACKGROUND:Osteosarcoma (OS) is the most common malignant bone tumor in children and adolescents. The survival rate of patients with metastatic disease remains very dismal. Nevertheless, metastasis is a complex process and a single-level analysis is not likely to identify its key biological determinants. In this study, we used a systems biology approach to identify common metastatic pathways that are jointly supported by both mRNA and protein expression data in two distinct human metastatic OS models.RESULTS:mRNA expression microarray and N-linked glycoproteomic analyses were performed on two commonly used isogenic pairs of human metastatic OS cell lines, namely HOS/143B and SaOS-2/LM7. Pathway analysis of the differentially regulated genes and glycoproteins separately revealed pathways associated to metastasis including cell cycle regulation, immune response, and epithelial-to-mesenchymal-transition. However, no common significant pathway was found at both genomic and proteomic levels between the two metastatic models, suggesting a very different biological nature of the cell lines. To address this issue, we used a topological significance analysis based on a "shortest-path" algorithm to identify topological nodes, which uncovered additional biological information with respect to the genomic and glycoproteomic profiles but remained hidden from the direct analyses. Pathway analysis of the significant topological nodes revealed a striking concordance between the models and identified significant common pathways, including "Cytoskeleton remodeling/TGF/WNT", "Cytoskeleton remodeling/Cytoskeleton remodeling", and "Cell adhesion/Chemokines and adhesion". Of these, the "Cytoskeleton remodeling/TGF/WNT" was the top ranked common pathway from the topological analysis of the genomic and proteomic profiles in the two metastatic models. The up-regulation of proteins in the "Cytoskeleton remodeling/TGF/WNT" pathway in the SaOS-2/LM7 and HOS/143B models was further validated using an orthogonal Reverse Phase Protein Array platform.CONCLUSIONS:In this study, we used a systems biology approach by integrating genomic and proteomic data to identify key and common metastatic mechanisms in OS. The use of the topological analysis revealed hidden biological pathways that are known to play critical roles in metastasis. Wnt signaling has been previously implicated in OS and other tumors, and inhibitors of Wnt signaling pathways are available for clinical testing. Further characterization of this common pathway and other topological pathways identified from this study may lead to a novel therapeutic strategy for the treatment of metastatic OS.

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Rosen, Seth D. "Pathways to prevention? evaluating the United Kingdom's approach to counter-radicalization /." Connect to Electronic Thesis (CONTENTdm), 2010. http://worldcat.org/oclc/645628208/viewonline.

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Burrowes, Jodie Anne. "A functional attributes approach to secondary succession pathways in New Zealand." Thesis, University of Canterbury. Department of Biological Sciences, 1999. http://hdl.handle.net/10092/4822.

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While for many years we have been attempting to conserve the remaining natural areas in New Zealand, interest has recently increased in the possibility of restoring degraded areas back to (predominantly) native vegetation. Knowledge of probable secondary succession pathways for such areas would assist their management. A method to describe, and thus compare, succession pathways would help determine the strongest influences on the succession process. If this method did not use plant species, but species grouped according to shared characteristics, comparison of succession pathways between places with different floras would be possible. This thesis is the first use of the functional attributes method to describe succession pathways for New Zealand vegetation. The method was first tested by a quantitative comparison of species and functional attributes data for two New Zealand sites, using ordination and correlation analyses. The results supported the hypothesis that conversion of the data from species to functional attributes will permit, by use of ordination analysis, recovery of the same rank-order of sites in a successional sequence, using field data from New Zealand vegetation. The second test was a qualitative assessment of the method, using four New Zealand sites, involving comparisons between regeneration sequences in the literature, and those generated by functional attributes information. The regeneration sequence generated from functional attributes information was found to approximately reproduce the sequence predicted or observed by researchers for the study sites. The results were very encouraging, and showed that the functional attributes method has potential for representing succession pathways in New Zealand sites. The potential of the method as a land management tool, including modelling responses to introduced species, is discussed. The next step would be the development of a computer model, allowing multiple sequences to be quickly generated with different disturbance regimes and initial vegetation.

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Kruse, Colin Peter Singer. "Data-Enabled Approach to Characterize Dynamic Regulatory Pathways in Two Kingdoms." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1573746719306039.

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Dondelinger, Frank. "Machine learning approach to reconstructing signalling pathways and interaction networks in biology." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7850.

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In this doctoral thesis, I present my research into applying machine learning techniques for reconstructing species interaction networks in ecology, reconstructing molecular signalling pathways and gene regulatory networks in systems biology, and inferring parameters in ordinary differential equation (ODE) models of signalling pathways. Together, the methods I have developed for these applications demonstrate the usefulness of machine learning for reconstructing networks and inferring network parameters from data. The thesis consists of three parts. The first part is a detailed comparison of applying static Bayesian networks, relevance vector machines, and linear regression with L1 regularisation (LASSO) to the problem of reconstructing species interaction networks from species absence/presence data in ecology (Faisal et al., 2010). I describe how I generated data from a stochastic population model to test the different methods and how the simulation study led us to introduce spatial autocorrelation as an important covariate. I also show how we used the results of the simulation study to apply the methods to presence/absence data of bird species from the European Bird Atlas. The second part of the thesis describes a time-varying, non-homogeneous dynamic Bayesian network model for reconstructing signalling pathways and gene regulatory networks, based on L`ebre et al. (2010). I show how my work has extended this model to incorporate different types of hierarchical Bayesian information sharing priors and different coupling strategies among nodes in the network. The introduction of these priors reduces the inference uncertainty by putting a penalty on the number of structure changes among network segments separated by inferred changepoints (Dondelinger et al., 2010; Husmeier et al., 2010; Dondelinger et al., 2012b). Using both synthetic and real data, I demonstrate that using information sharing priors leads to a better reconstruction accuracy of the underlying gene regulatory networks, and I compare the different priors and coupling strategies. I show the results of applying the model to gene expression datasets from Drosophila melanogaster and Arabidopsis thaliana, as well as to a synthetic biology gene expression dataset from Saccharomyces cerevisiae. In each case, the underlying network is time-varying; for Drosophila melanogaster, as a consequence of measuring gene expression during different developmental stages; for Arabidopsis thaliana, as a consequence of measuring gene expression for circadian clock genes under different conditions; and for the synthetic biology dataset, as a consequence of changing the growth environment. I show that in addition to inferring sensible network structures, the model also successfully predicts the locations of changepoints. The third and final part of this thesis is concerned with parameter inference in ODE models of biological systems. This problem is of interest to systems biology researchers, as kinetic reaction parameters can often not be measured, or can only be estimated imprecisely from experimental data. Due to the cost of numerically solving the ODE system after each parameter adaptation, this is a computationally challenging problem. Gradient matching techniques circumvent this problem by directly fitting the derivatives of the ODE to the slope of an interpolant. I present an inference procedure for a model using nonparametric Bayesian statistics with Gaussian processes, based on Calderhead et al. (2008). I show that the new inference procedure improves on the original formulation in Calderhead et al. (2008) and I present the result of applying it to ODE models of predator-prey interactions, a circadian clock gene, a signal transduction pathway, and the JAK/STAT pathway.

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Ghinescu, Rodica. "A modeling-based approach for investigating multiple processing pathways in simple visual tasks /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3164509.

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Alles, Marie Chehani Clinical School St Vincent's Hospital Faculty of Medicine UNSW. "A bioinformatics approach to discovery of estrogen-responsive genetic pathways in breast cancer." Awarded by:University of New South Wales. Clinical School - St Vincent's Hospital, 2008. http://handle.unsw.edu.au/1959.4/41513.

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Breast cancers fall into two major classes depending on their estrogen receptor (ER) status. ER+ and ER- tumors have very different molecular phenotypes, and may have distinct cells of origin. ER- tumors generally fail to respond to endocrine therapy and have a poorer prognosis. To develop a comprehensive understanding of the gene networks active in ER+ compared to ER- breast cancers, we performed a meta-analysis of Grade 3 breast cancers from five published datasets. A measure of association with ER status taking into account intra- and inter-study variability was calculated for every probe set. The meta-analysis revealed that ER-/Grade 3 tumors show increased expression of proliferation-associated functional categories when compared to ER+/Grade 3 tumors. Using Gene Set Enrichment Analysis we show that transcript levels of direct transcriptional targets of ER are lower in ER- tumors, but that expression of other estrogen-induced genes is higher in ER- tumors. Transcript levels of both direct and other targets of the estrogen-regulated MYC gene and the E2F family of genes are significantly higher in ER- tumors. The increased expression of targets of MYC and E2F is particularly pronounced in the "basal" subgroup of ER- tumors. This suggests that a study assessing the association of these genes with clinical outcome in ER- patients is warranted, but is not currently feasible due to lack of suitable publicly available data. The contribution of genes regulated or bound by estrogen, MYC or E2F to increased risk of relapse in ER+ tamoxifen-treated patients was assessed in a pilot study using Cox proportional hazards models and Gene Set Enrichment Analysis. The high expression of several gene sets containing genes induced by estrogen and/or MYC and direct targets of MYC and E2F was correlated with poor outcome in these patients. We conclude that over-expression or constitutive activation of MYC, possibly in conjunction with elevated E2F activity, may lead to the induction of a set of genes characteristic of the estrogen response thereby contributing to increased proliferation in ER- breast tumors, particularly in the basal subgroup. A pilot survival study indicated that MYC- and E2F-activity may play a role in tamoxifen-resistance.

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Books on the topic "Pathways Approach"

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Shrader, Douglas W. Pathways to philosophy: A multidisciplinary approach. Upper Saddle River, N.J: Prentice Hall, 1996.

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Bose, Kakoli, and Pradip Chaudhari, eds. Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9816-3.

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M, Proyect Mitchell, ed. Critical pathway development guide: A team-oriented approach for developing critical pathways. Chicago: Precept Press, 1998.

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Beth, Sampson Mary, and Allen Roach Van 1917-, eds. Pathways to literacy: Process transactions. 2nd ed. Fort Worth: Harcourt Brace College Publishers, 1995.

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W, Brazis Paul, ed. Clinical pathways in neuro-ophthalmology: An evidence-based approach. New York: Thieme, 1998.

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Fulton, Crystal. Information pathways: A problem-solving approach to information literacy. Lanham: Scarecrow Press, 2010.

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Lee, Andrew G. Clinical pathways in neuro-ophthalmology: An evidence-based approach. 2nd ed. New York: Thieme, 2004.

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Fulton, Crystal. Information pathways: A problem-solving approach to information literacy. Lanham: Scarecrow Press, 2010.

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Sampson, Michael R. Pathways to literacy: A meaning-centered perspective. Fort Worth: Holt, Rinehart and Winston, 1991.

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Bertaux, Daniel. Pathways to social class: A qualitative approach to social mobility. Oxford: Clarendon Press, 1997.

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Book chapters on the topic "Pathways Approach"

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McGrady, Angele, and Donald Moss. "Pathways Approach to Cardiovascular Disorders." In Integrative Pathways, 195–207. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_11.

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McGrady, Angele, and Donald Moss. "A Pathways Approach to Cancer." In Integrative Pathways, 223–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_13.

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McGrady, Angele, and Donald Moss. "A Pathways Approach to Chronic Pain." In Integrative Pathways, 111–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_6.

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McGrady, Angele, and Donald Moss. "A Pathways Approach to Mood Disorders." In Integrative Pathways, 131–45. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_7.

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McGrady, Angele, and Donald Moss. "A Pathways Approach to the Metabolic Syndrome." In Integrative Pathways, 181–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_10.

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McGrady, Angele, and Donald Moss. "A Pathways Approach to Systemic Lupus Erythematosus." In Integrative Pathways, 209–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_12.

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McGrady, Angele, and Donald Moss. "A Pathways Approach for an Anxiety Disorder." In Integrative Pathways, 163–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_9.

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McGrady, Angele, and Donald Moss. "A Pathways Model Approach for Traumatic Brain Injury." In Integrative Pathways, 239–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_14.

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McGrady, Angele, and Donald Moss. "Chronic Illness, Global Burden, and the Pathways Approach." In Integrative Pathways, 39–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89313-6_3.

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Senthilkumaran, S., and P. Thirumalaikolandusubramanian. "Approach to Acute Poisoning." In Clinical Pathways in Emergency Medicine, 467–83. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2713-7_31.

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Conference papers on the topic "Pathways Approach"

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Sarkar, Mrityunjay, Aurpan Majumder, and Sanjay Dhar Roy. "A Nonlinear Multivariate Approach to Identify Differentially Coexpressed Pathways." In 2019 International Conference on Data Science and Engineering (ICDSE). IEEE, 2019. http://dx.doi.org/10.1109/icdse47409.2019.8971790.

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Dunlop, Mary J., Elisa Franco, and Richard M. Murray. "A Multi-Model Approach to Identification of Biosynthetic Pathways." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282720.

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Iatrellis, Omiros, Achilles Kameas, and Panos Fitsilis. "An Ontological Approach for Semantic Modeling of Learning Pathways." In 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). IEEE, 2017. http://dx.doi.org/10.1109/wetice.2017.20.

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SPEYER, GIL, JEFF KIEFER, HARSHIL DHRUV, MICHAEL BERENS, and SEUNGCHAN KIM. "KNOWLEDGE-ASSISTED APPROACH TO IDENTIFY PATHWAYS WITH DIFFERENTIAL DEPENDENCIES." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814749411_0004.

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Scheidt, Matthew, and Allison Godwin. "A narrative approach to understanding underrepresented students' pathways into engineering." In 2017 IEEE Frontiers in Education Conference (FIE). IEEE, 2017. http://dx.doi.org/10.1109/fie.2017.8190518.

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Golja, Tanja, and Patrick Barrett. "TOWARDS UNDERSTANDING LEARNING PATHWAYS: A TRANSDISCIPLINARY RESEARCH AND DEVELOPMENT APPROACH." In 13th annual International Conference of Education, Research and Innovation. IATED, 2020. http://dx.doi.org/10.21125/iceri.2020.1601.

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Maniadi, Evaggelia M., and Ioannis G. Tollis. "Analysis and visualization of metabolic pathways and networks: A hypegraph approach." In 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2014. http://dx.doi.org/10.1109/bhi.2014.6864316.

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Buckman, Christopher, and Andri Dahlmeier. "AN INTEGRATED APPROACH FOR BEDROCK CHARACTERIZATION AND MAPPING GROUNDWATER PREFERENTIAL PATHWAYS." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2014. http://dx.doi.org/10.4133/sageep.27-180.

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Pang, Wei, and George M. Coghill. "An immune network approach to learning qualitative models of biological pathways." In 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. http://dx.doi.org/10.1109/cec.2014.6900393.

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Buckman, Christopher, and Andri Dahlmeier. "AN INTEGRATED APPROACH FOR BEDROCK CHARACTERIZATION AND MAPPING GROUNDWATER PREFERENTIAL PATHWAYS." In Symposium on the Application of Geophysics to Engineering and Environmental Problems 2014. Society of Exploration Geophysicists and Environment and Engineering Geophysical Society, 2014. http://dx.doi.org/10.1190/sageep.27-180.

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Reports on the topic "Pathways Approach"

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Pleszkoch, Mark G., Hilda B. Klasky, Aneel Advani, Edmon Begoli, Aileen Boone, and Stephan D. Fihn. Game Theoretic Approach for Understanding and Modeling Clinical Pathways (Stable Ischemic Heart Disease). Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1513403.

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Oreopoulos, Philip, Robert Brown, and Adam Lavecchia. Pathways to Education: An Integrated Approach to Helping At-Risk High School Students. Cambridge, MA: National Bureau of Economic Research, August 2014. http://dx.doi.org/10.3386/w20430.

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Saleska, Scott, Virginia Rich, Gene @. Tyson, Mattew Sullivan, Jeffrey Chanton, Patrick Crill, Steve Frolking, et al. Pathways to Carbon Liberation: A Systems Approach to Understanding Carbon Transformations and Losses from Thawing Permafrost. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1506685.

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Morgans, D. L., and S. L. Lindberg. Hanford Site Composite Analysis Technical Approach Description: Groundwater Pathway Dose Calculation. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1412672.

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Bob Youngblood and Curtis Smith. Technical Approach and Results from the Fuels Pathway on an Alternative Selection Case Study. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1111013.

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Marcos Barba, Liliana, Hilde van Regenmortel, and Ellen Ehmke. Shelter from the Storm: The global need for universal social protection in times of COVID-19. Oxfam, December 2020. http://dx.doi.org/10.21201/2020.7048.

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As 2020 draws to a close, the economic devastation caused by the COVID-19 pandemic shows no sign of abating. Without urgent action, global poverty and inequality will deepen dramatically. Hundreds of millions of people have already lost their jobs, gone further into debt or skipped meals for months. Research by Oxfam and Development Pathways shows that over 2 billion people have had no support from their governments in their time of need. Our analysis shows that none of the social protection support to those who are unemployed, elderly people, children and families provided in low- and middle-income countries has been adequate to meet basic needs. 41% of that government support was only a one-off payment and almost all government support has now stopped. Decades of social policy focused on tiny levels of means-tested support have left most countries completely unprepared for the COVID-19 economic crisis. Yet, countries such as South Africa and Bolivia have shown that a universal approach to social protection is affordable, and that it has a profound impact on reducing inequality and protecting those who need it most. In addition to the full paper and executive summary, an Excel file with the data analysed by Oxfam and Development Pathways is available to download on this page, along with an annex on the crisis in Latin America and the Caribbean.

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Gu, Liwen, Cynthia Istook, Yanwen Ruan, and Xiaogang Liu. Categorization of Existing 3D Apparel Modeling Approaches from a Development Pathway Perspective. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1918.

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J., Van Vianen, Reed J., and Sunderland T.C.H. From global complexity to local reality: Aligning implementation pathways for the Sustainable Development Goals and landscape approaches. Center for International Forestry Research (CIFOR), 2010. http://dx.doi.org/10.17528/cifor/005865.

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Tyner, Angela L. A Small Scale Proteomics Approach for Identifying Proteins Regulated by the Breast Tumor Kinase BRK Signal Transduction Pathway. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada406106.

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Stanley-Lockman, Zoe. Responsible and Ethical Military AI. Center for Security and Emerging Technology, August 2021. http://dx.doi.org/10.51593/20200091.

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Allies of the United States have begun to develop their own policy approaches to responsible military use of artificial intelligence. This issue brief looks at key allies with articulated, emerging, and nascent views on how to manage ethical risk in adopting military AI. The report compares their convergences and divergences, offering pathways for the United States, its allies, and multilateral institutions to develop common approaches to responsible AI implementation. Download Full Report

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